Next Article in Journal
The Chimeric Peptide (GEP44) Reduces Body Weight and Both Energy Intake and Energy Expenditure in Diet-Induced Obese Rats
Next Article in Special Issue
Anti-Obesity Properties of a Novel Probiotic Strain of Latilactobacillus sakei CNTA 173 in Caenorhabditis elegans
Previous Article in Journal
Therapeutic Potential of Extracellular Vesicles in Oral Inflammation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Unraveling Molecular Targets for Neurodegenerative Diseases Through Caenorhabditis elegans Models

1
School of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230002, China
2
Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(7), 3030; https://doi.org/10.3390/ijms26073030
Submission received: 23 February 2025 / Revised: 17 March 2025 / Accepted: 24 March 2025 / Published: 26 March 2025
(This article belongs to the Special Issue C. elegans as a Disease Model: Molecular Perspectives: 2nd Edition)

Abstract

:
Neurodegenerative diseases (NDDs), including Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), Huntington’s disease (HD), and prion disease, represent a group of age-related disorders that pose a growing and formidable challenge to global health. Despite decades of extensive research that has uncovered key genetic factors and biochemical pathways, the precise molecular mechanisms underlying these diseases and effective therapeutic strategies remain elusive. Caenorhabditis elegans (C. elegans) has emerged as a powerful model organism for studying NDDs due to its unique biological features such as genetic tractability, conserved molecular pathways, and ease of high-throughput screening. This model provides an exceptional platform for identifying molecular targets associated with NDDs and developing novel therapeutic interventions. This review highlights the critical role of C. elegans in elucidating the complex molecular mechanisms of human NDDs, with a particular focus on recent advancements and its indispensable contributions to the discovery of molecular targets and therapeutic strategies for these NDDs.

Graphical Abstract

1. Introduction

Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), Huntington’s Disease (HD), and prion diseases are all neurodegenerative diseases (NDDs) characterized by the progressive loss of neurological function [1,2,3,4]. With increasing life expectancy and aging populations, the prevalence of NDDs is escalating, placing substantial economic and healthcare burdens on societies worldwide [1,2]. Although genetic factors associated with these diseases have been identified and numerous therapeutic strategies have been developed, the precise molecular mechanisms governing their progression remain largely unclear. Furthermore, achieving effective treatment and complete recovery remains a formidable challenge in the field [5].
In the pursuit of elucidating NDDs, researchers initially favored invertebrate models such as Caenorhabditis elegans (C. elegans) over direct experimentation in mammalian systems [6]. Since the 1970s, C. elegans has been widely used in neuroscience due to its short life cycle, transparent body, rapid reproduction, and ease of cultivation [7]. These features make it ideal for neuron visualization. Additionally, its large cell size and simple micromanipulation facilitate transgenic model creation, and gene knockout (KO) can be achieved through targeted bacterial feeding [6]. Notably, comparative genomic and proteomic analyses have revealed 83% protein homology and 53% conservation of human protein-coding sequences in C. elegans, establishing robust evolutionary relevance for human disease modeling [8,9,10]. Although its nervous system comprises merely 302 neurons, the nematode shares core neurotransmitter systems with mammals, including serotonin, dopamine, acetylcholine, glutamate, and neuropeptide signaling pathways [6,9,10]. Crucially, the biosynthetic regulation, vesicular storage mechanisms, and catabolic processing of these neurotransmitters in C. elegans exhibit striking conservation with mammalian counterparts (Figure 1) [11,12]. In a word, these synergistic advantages collectively position C. elegans as a premier experimental platform for decoding NDD pathogenesis and validating therapeutic targets [13,14].
This review aims to systematically overview the current research models of NDDs, such as AD, PD, ALS, and HD, using nematode models. It also seeks to summarize the key molecular targets associated with these NDDs. In summary, this review aspires to provide valuable theoretical and practical insights into utilizing nematode models to advance research and development of therapeutic strategies for NDDs.

2. Alzheimer’s Disease (AD)

AD is a devastating neurodegenerative disorder, ranking sixth among leading causes of death. By 2060, it is estimated that 13.8 million people will be affected [15,16]. AD has two primary forms: early-onset AD (EOAD) and late-onset AD (LOAD), with the latter comprising over 95% of cases, typically emerging after age 65 [17]. Clinically, AD manifests as cognitive decline, memory impairment, and neuropsychiatric symptoms. Pathologically, it is characterized by amyloid-beta plaques and neurofibrillary tangles (NFTs) from tau protein aggregation in neurons [18]. Ethical considerations compel researchers to turn to animal models such as C. elegans, capable of expressing human-related genes, to unravel the potential mechanisms and molecular targets underlying AD [19].

2.1. Amyloid-Beta Peptide (Aβ Peptide)

The initial C. elegans model of AD was created by overexpressing (OE) the Aβ peptide, derived from the amyloid-beta precursor protein [20]. Under normal conditions, Aβ production and degradation are balanced, but this balance is disrupted in AD, leading to elevated Aβ levels [21]. Two major Aβ isoforms, Aβ1–40 and Aβ1–42, have been identified in the brains of AD patients [22]. Since C. elegans lacks the enzyme to produce Aβ, transgenic models have been developed to express human Aβ in specific cells [23]. Notably, Aβ1–42 is more prone to forming oligomers and exhibits greater neurotoxicity, making it a key focus for AD research and drug screening [24].
Research on molecular targets to mitigate Aβ toxicity primarily focuses on several critical areas: enzyme activities, protein oxidative factors, molecular chaperones, and alterations in the Hippo and autophagy-lysosome pathways. Studies utilizing C. elegans models have yielded important insights. Firstly, the absence of O-GlcNAc transferase (OGT) alleviated Aβ-induced damage, suggesting OGT as a potential therapeutic target for AD. Conversely, the loss of β-N-acetylglucosamine glycosidase exacerbated Aβ-induced damage [25]. Secondly, protein oxidation significantly contributes to Aβ1–42-induced neurodegeneration. In nematodes, the deletion of the eEF2K homolog efk-1 mitigated oxidative stress and reduced Aβ1–42 toxicity [26]. Thirdly, the molecular chaperone HSP-16.2 also offers protection against Aβ-induced toxicity. Consistent with this notion, heat shock treatment in transgenic nematodes reduced Aβ toxicity [27]. Notably, overexpression of HSP-16 has been reported to suppress the toxicity of GFP::degron, a system that recapitulates Aβ aggregate-induced pathology [28]. Furthermore, the interplay between the Hippo and mTOR signaling pathways promotes AD development in C. elegans Aβ models by increasing Aβ peptide production. Aβ cytotoxicity is negatively regulated by the CST-1/SAV-1/MOG-1/WTS-1 cascade and positively regulated by the YAP-1/EGL-44 co-transcriptional complex [29]. LIN-10, a homolog of mammalian MINS3 in C. elegans, interacts with YAP-1 to influence its nuclear translocation. Knockdown of lin-10 mitigated Aβ accumulation. Moreover, Florez-Mcclure et al. revealed that impaired lysosomal function exacerbates Aβ toxicity and triggers autophagy aggregation. Their research demonstrated that using RNAi to knock down genes encoding lysosomal components (including aspartic proteases (asp-2, asp-4, asp-5, and asp-6), lysosomal-associated membrane proteins (lmp-1 and lmp-2), and vacuolar proton translocation ATPase (vha-15)) led to increased paralysis rates and higher Aβ1–42 levels. As a result, it is proposed that Aβ1–42 toxicity in C. elegans may arise from defective lysosome formation or impaired degradation [30]. Collectively, these findings highlight the potential of enhancing the Hippo signaling pathway and the autophagy-lysosome pathway as promising therapeutic or preventive strategies for AD.

2.2. Tau Protein

Tau protein is a critical biomarker for AD, essential for stabilizing neuronal microtubules. In C. elegans, the tau-like repeat protein PTL-1 (the sole homolog of both tau and microtubule-associated protein 2 (MAP2)) plays a regulatory role in neuronal aging and lifespan [31,32]. Transgenic models expressing human tau exhibit age-related motor neuron impairments and neurodegenerative changes [33]. Mutated tau forms linked to insoluble phosphorylated aggregates and motor deficits have been explored [34,35]. Significantly, in addition to the correlation between phosphorylation at specific sites of the tau protein and AD, acetylation at specific sites has also been demonstrated to play a crucial role in the progression of tau pathology [36,37,38,39,40]. Genetic editing advancements have enhanced our understanding of tau homeostasis in C. elegans [41,42]. Notably, a dual transgenic nematode model incorporating both Aβ1–42 and tau genes closely mimics the neuropathological features of AD [43].
Scientists are focusing on identifying genetic factors that affect tau-induced neurotoxicity. Forward genetic screens have revealed mutations that reduce tau-induced problems. For example, the recessive mutation sut-1(bk79) partially lessened uncoordinated movement, tau aggregation, and neurodegenerative changes [44]. OE sut-2 worsened neuronal dysfunction and increased tau accumulation, while mutations that reduced its function protect against lifespan shortening [45,46]. Losing the RNA binding function of SUT-6 or reducing its expression has been demonstrated to suppress the phenotype associated with tau pathology in nematodes expressing human tau protein [47]. The deletion of ALYREF, a protein involved in mRNA splicing, reduced toxicity in tau and TDP-43 neurodegeneration models. Although there are three genes of ALYREF (aly-1, aly-2, and aly-3) in C. elegans, it is noteworthy that only the loss of function of aly-2 and aly-3 can alleviate tau-induced toxicity [48]. Similarly, reducing the function of the SPOP-1 protein improved behavioral deficits in tau transgenic nematodes, while overexpressing it worsened these deficits [49]. Recent studies have shown that reducing DNA glycosylases NTH-1 or UNG-1 enhances mitochondrial function, lifespan, and memory in tau transgenic nematode models. And the endoplasmic reticulum unfolded protein response (UPRER) transcription factor XBP-1s helped clear pathological tau through the ATF-6 branch of UPRER [50]. In summary, research into AD using Tau transgenic nematode models has revealed genetic factors and molecular targets involved in tau toxicity, identifying potential therapeutic targets for future interventions.

3. Parkinson’s Disease (PD)

PD is the second most common NDD, characterized by movement impairments and the loss of dopaminergic neurons [51]. Alpha-synuclein (alpha-Syn) mutations are a key cause of hereditary PD [52,53]. Experimental animal models are essential in PD research, and they can be categorized into two primary types, transgenic models and neurotoxin-induced models [54,55]. The nematode not only possesses a simple nervous system but also shows high homology between its genes and human PD-related genes. These characteristics make it an ideal model organism for PD research [56]. Recent research has made significant progress using nematode models to understand PD [54,56]. In this review, we will expound several extensively examined nematode models of PD.

3.1. Transgenic Model

3.1.1. Alpha-Synuclein (Alpha-Syn)

The alpha-Syn protein, composed of 140 amino acids, is encoded by the human SNCA gene linked to autosomal dominant PD [57,58,59]. However, nematodes are valuable PD models as they have many homologous genes to human PD-associated genes, excluding park1, which encodes alpha-Syn. Consequently, allowing expression of human alpha-Syn without endogenous interference [55,60]. Garry Wong’s team pioneered transgenic C. elegans models as early as 2003, including wild-type and A53T human alpha-Syn models that are specifically expressed in dopaminergic neurons or pan-neurons [61]. Notably, the transparency of C. elegans enables in vivo visualization of dopamine (DA) neuron morphology and neurodegeneration when co-injected with green fluorescent protein (GFP) [61]. Long-term studies of this model have identified proteins like calmodulin, RAB1, RAB3, RAB8, RAB10, RHO, ATP13A2, VPS-41, cathepsin D, GPI, GBA, ATFS-1, and 14–3-3 as regulators of DA neuron neurodegeneration, with similar effects observed in mammalian models [62,63,64,65,66,67,68,69].
In addition to the molecular targets that regulate toxicity, as aforementioned, there have also been studies emphasizing the protective effects of developmental regulatory factors, autophagy, and small RNAs in neurons against toxicity [62,70,71]. The C. elegans model with TOR-2 and alpha-Syn-GFP provides valuable insights into genetic modifiers of alpha-Syn misfolding [62]. Furthermore, Tyson et al. employed a bimolecular fluorescence complementation (BiFC)-alpha-Syn nematode model to investigate the mechanism underlying alpha-Syn transfer between neurons. They observed that RNAi-mediated inhibition of autophagy-related genes led to a decrease in BiFC-induced fluorescence, highlighting the role of autophagy in the clearance and dissemination of alpha-Syn [72]. Genetic studies have yielded significant insights into the role of microRNAs (miRNAs) in PD, particularly through let-7 miRNA regulation. Shamsuzzama et al. investigated the role of let-7 miRNA in PD using a transgenic C. elegans model expressing “human” alpha-Syn [73,74,75]. Their study demonstrated that while let-7 miRNA modulates PD-associated pathways through autophagy enhancement and DAF-16 FOXO transcription factor activation-mediated downregulation of alpha-Syn expression, it exhibited no detectable effects on dopaminergic/acetylcholinergic neurons. Collectively, these findings highlight let-7 miRNA as a potential novel therapeutic target for PD intervention [75]. Additionally, gene product RTCB-1 and the recently discovered RNA editing enzyme ADR-2 have also been shown to alleviate alpha-Syn toxicity [73,74]. In summary, there are various regulatory factors targeting alpha-Syn toxicity, such as cell transport pathways, autophagy pathways, neuronal development regulatory factors, and small RNA molecules.

3.1.2. Leucine-Rich Repeat Kinase 2 (LRRK2)

LRRK2 is a ROCO protein that plays a pivotal role in membrane trafficking and synaptic vesicle endocytosis [76,77]. Its nematode homolog LRK-1 is widely expressed [78]. LRRK2 mutations cause familial PD, making it a therapeutic target [79]. The utilization of LRRK2 KO and transgenic OE models has been documented in C. elegans, such as the OE of human LRRK2 G2019S and R1441C in C. elegans, which has been demonstrated to induce DA neuron neurodegeneration, leading to a decrease in DA levels and impairment of motor function [80,81]. Notably, the LRRK2 kinase inhibitors TTT-3002 and LRRK2-IN1 exhibited neuroprotective effects in transgenic C. elegans models of OE human R1441C and G2019S LRRK2 mutations [82]. Moreover, the prevalent G2019S mutation exhibits a particularly strong association with alpha-Syn pathology. Early work in 2015 demonstrated that, unlike WT LRRK2, which enhances autophagic flux throughout the C. elegans lifespan, the G2019S LRRK2 mutation suppresses autophagy and accelerates age-related autophagic decline. Critically, the G2019S LRRK2 mutation synergizes with alpha-Syn to exacerbate autophagy inhibition in this model [83]. Recent studies further revealed that the G2019S LRRK2 mutation not only boosts LRRK2 kinase activity but also plays a pivotal role in the replication of alpha-Syn [84,85,86]. Further study revealed that LRRK2 controls alpha-Syn replication via RAB35 phosphorylation [86]. These results indicate a complex regulatory relationship between PD-related genes.
Although oxidative stress is linked to PD pathology, the connection between LRRK2 G2019S and stress in PD remains unclear. Ray et al. showed that LRRK2 G2019S increases sensitivity to stress and impairs DAF-16 nuclear translocation, a key factor for stress resistance in C. elegans [87]. As we all know, enhancing DAF-16 extends the lifespan of LRRK2 G2019S mutants and reduces neuronal damage, while down-regulating it has the opposite effect. Further research found that DAF-16 may also reduce LRRK2 G2019S toxicity via 14–3-3 proteins [88,89,90,91]. Moreover, another study revealed that Glutaredoxin 1 (Grx1), an important antioxidant enzyme, significantly exacerbates the neurodegenerative phenotype of LRRK2 mutant G2019S or R1441C OE in C. elegans [92]. Lately, studies have revealed that various pathways involved in aging and longevity, such as insulin/IGF-1 signaling, the TOR pathway, and mitochondrial respiration, exhibit robust protective effects against LRRK2 G2019S-induced neurodegeneration [85]. Coincidentally, recent studies have shown that overexpression of miRNA-71 (regulating modulates stress resistance and promotes longevity in C. elegans) can rescue motor deficits and attenuate DA neuron degeneration, highlighting its role in mitigating LRRK2-induced proteotoxicity [93,94]. These findings suggest that oxidative stress and longevity regulators represent critical molecular targets for the development of LRRK2-targeted PD therapies.

3.2. Toxin-Induced Models-6-Hydroxydopamine (6-OHDA)

As is well known, there are various sources of toxins that can induce PD, among which the most common is the hydroxylated form of DA, known as 6-OHDA. It is a specific catecholaminergic neurotoxin widely employed for the induction of PD-like features [95]. 6-OHDA binds to dopamine transporters (DAT) to enter nigrostriatal dopamine neurons, but it cannot cross the blood-brain barrier. Subsequently, it undergoes multiple oxidation processes leading to cellular damage [96]. In a previous study conducted by Harrington A J et al., it was demonstrated that using transgenic technology, fluorescent reporter genes (e.g., GFP) driven by neuron-specific promoters (such as dat-1 or rab-3) were integrated into the C. elegans genome, enabling direct observation of neuronal apoptosis or other abnormal changes [97]. Treatment with 6-OHDA in a specific strain resulted in time- and dose-dependent DA neuron degeneration, reducing GFP spots. Numerous recent studies have also shown that 6-OHDA-induced dopaminergic neurodegeneration in C. elegans [98,99,100,101].
6-OHDA uptake by neurons generates free radicals and oxidative stress, leading to neuronal death, suggesting that oxidative stress regulatory factors may be an important molecular target for treating 6-OHDA-induced PD. As expected, skn-1, a gene that boosts oxidative stress resistance and lifespan in nematodes, has been found to enhance their protection against 6-OHDA-induced neurodegeneration through excessive activation [101]. Not only that, this study also showed that mutations in calchaperonin crt-1, tsp-17, and gilt-1 prevent 6-OHDA-induced PD-like phenotype [102]. Additionally, the ttr-33 gene in C. elegans offered protection against 6-OHDA-induced oxidative stress [103]. Through continuous research, it has been discovered that antioxidant compounds like Aureusidin, Tricetin, and Galangin protect against 6-OHDA-induced neurodegeneration in PD models via the Nrf2 pathway [104,105,106]. Recently, a high-sugar diet in adulthood was found to protect C. elegans from 6-OHDA-induced DA neurodegeneration by altering redox state, not ATP levels [107]. To sum up, oxidative stress regulators are highly potential therapeutic targets for 6-OHDA-induced PD.

4. Amyotrophic Lateral Sclerosis (ALS)

ALS is a severe neurodegenerative disease affecting about one in 350 individuals [108,109]. It is characterized by motor neuron degeneration in the cerebral cortex, brain stem, and spinal cord. Most cases (>90%) are sporadic ALS (sALS) without clear genetic factors, while 5–10% are familial ALS (fALS) due to inherited mutations [110]. Fortunately, over 45 human genes are involved in ALS, including Cu/Zn superoxide dismutase 1 (SOD1), TAR DNA-binding protein 43 (TDP-43), Chromosome 9 Open Reading Frame 72 (C9orf72), and Fusion sarcoma (FUS) [111]. Significant progress has been made in understanding the pathogenic mechanisms of these four genes in ALS using C. elegans transgenic models [112].

4.1. Cu/Zn Superoxide Dismutase 1(SOD1)

The first gene associated with ALS is sod1. SOD1 is inherited in an autosomal dominant manner and contains over 180 missense mutations, accounting for 10–14% of fALS cases and 1–2% of sALS cases [113,114,115,116,117]. Notably, disease severity and survival time vary based on mutation sites, and Cys residues in the SOD1 protein are crucial for its pathogenicity [118]. The nematode model of ALS was first established in 2001, revealing that SOD1-induced motor neurotoxicity involves protein misfolding and disruptions in cellular protein homeostasis, axonal development, ER stress, and autophagy [119,120]. The investigation into the major mutant G85R of human SOD1 (hmSOD1) revealed that its neurotoxic effects are associated with SOD1 misfolding and synaptic vesicle disruption, thereby providing further evidence for the toxic mechanisms induced by SOD1 as previously discussed. Expectedly, using this model found that the DAF-2 insulin/IGF-1 signaling pathway has therapeutic potential for ALS; for instance, downregulation of DAF-2 signaling or silencing of cytokinin homologs grp1 or efa-6 was observed to significantly reduce SOD1 aggregation and improve movement defects in hmSOD1 mutant G85R nematodes [121]. Additionally, the integrative treatment of the hmSOD1 mutant G85R/G93A nematode model with DAF-2 further confirmed the potential therapeutic efficacy of DAF-2 insulin/IGF-1 signaling in ALS [122]. In addition to the involvement of aging control factors in the neuroprotective effects of SOD1 transgenic nematodes, it has also been reported that BTBD10 (the product of the human DYT1 gene torsinA), a ubiquitin-specific protease USP7, a valine-containing protein (VCP), and RAD-23 (a component of the protein homeostasis network and nucleotide excision repair pathway) have different degrees of protection against SOD1-induced cytotoxicity [123,124]. These aforementioned results highlight that the regulation of SOD1 protein homeostasis is a pivotal research avenue for investigating molecular targets implicated in SOD1-induced ALS.

4.2. TAR DNA-Binding Protein 43 (TDP-43)

TDP-43 is a conserved RNA/DNA-binding protein associated with ALS and FTD, characterized by cytoplasmic inclusions [125,126]. It is encoded by the TARDBP gene, and so far over 50 TARDBP gene mutations have been associated with ALS. TDP-43 consists of four main domains, among which the c-terminus is prone to aggregation. However, its homolog TDP-1 in C. elegans lacks the glycine-rich c-terminus domain [127,128]. Research has found that the neurotoxic mechanisms of TDP-43 and TDP-1 in nematodes involve the insulin/IGF signaling pathway [127,128,129,130]. In addition, human TDP-43 can repair defects in C. elegans lacking TDP-1 [131]. These above results indicate that TDP-43 and TDP-1 are functionally conserved. Notably, a pivotal investigation revealed that granulin (a proteolytic cleavage product of progranulin) exacerbates TDP-43 neurotoxicity via two distinct mechanisms: (1) promoting cytoplasmic aggregation of TDP-43 and (2) increasing its total cellular abundance through impaired autophagic-lysosomal degradation [131].
TDP-43 mutants, especially mutants TDP-43 (A315T)/(M337V)/C-terminus, facilitate the identification of genes associated with neurodegenerative disorders. In C. elegans expressing TDP-43 (A315T), losing ALYREF function in neurons improved motor function [48]. Similarly, TIR-1 pathway gene inactivation provided protection for TDP-43 (A315T). Especially neurosecretory gene (unc-13(e540)/UNC13C and unc-31(e928)/CADPS2) mutations not only rescued neurodegeneration but also indicated that neurosecretion is crucial for inducing innate immunity in C. elegans with TDP-43 (A315T) [132]. Furthermore, the tir-1(qd4) deletion reduced immune responses and motor deficits without altering TDP-43 levels [132]. Studies on the neurotoxicity induced by specific expression of TDP-43 (A315T) in GABAergic motor neurons emphasized the importance of ER calcium-regulated enzymes in neurotoxicity [133]. Since TDP-43 hyperphosphorylation disrupts protein homeostasis, leading to neurotoxicity, identifying a TDP-43-specific phosphokinase is a potential intervention target. [134]. A CDC7 kinase inhibitor was identified in C. elegans with mutant TDP-43 (A315T), and PRKD2/3 and TTBK1/2 were found to phosphorylate TDP-43 [134,135,136]. However, only the neuronal expression of TTBK1 worsened motor deficits and increased TDP-43 phosphorylation and aggregation [134,135,136]. Excitingly, ethylsulfonimide-based screening revealed α-methyl-α-phenylsuccinimide (MPS) improved motor issues and rescued neuron degeneration in C. elegans with mutant TDP-43 (A315T) [137]. For TDP-43 (M337V), RNAi screening found hse-5, zig-3, paqr-1, gly-8, and sax-2 as motor defect modifiers. Mutations in these genes reduced TDP-43 accumulation and phosphorylation [130,138]. Notably, RAD23 serves as a common regulatory factor for both SOD1 and TDP-43, and functional mutations in RAD-23 have been found to rescue phenotypes such as motor defects, GABAergic motor neuron degeneration, and TDP-43 (M337V) aggregation [124]. The latest research findings indicated that lower temperatures extended lifespan and mitigated TDP-43 (M337V) accumulation in nematodes. However, inhibition of proteasome regulators psme-3/PSME3 has been shown to impede the reduction of TDP-43 protein aggregates [139]. For C-terminal mutants of TDP-43, overexpression solely in neurons led to aggregation and motor defects, but this situation can be fully ameliorated by deleting SPR5/LSD1 and UFD-2/UBE4B [140]. To reduce TDP-43-C-terminal-induced neurotoxicity, PROTACs have been designed to degrade misfolded C-TDP-43 proteins recently. PROTAC2 effectively decreases TDP-43-C-terminal accumulation in the nervous system, improving motor function in C. elegans [141]. Thanks to the development of genetic manipulation techniques, another small molecule, TRVA242, also showed neuroprotective effects in TDP-43 nematode and zebrafish ALS models [142]. Overall, the functional mutations of the aforementioned factors were found to be capable of effectively reducing the accumulation and pathological phosphorylation of TDP-43. Thus, they are highly potential molecular targets for the treatment of amyotrophic lateral sclerosis.

4.3. Chromosome 9 Open Reading Frame 72 (C9orf72)

The C9orf72 gene on chromosome 9 encodes a protein crucial for autophagy regulation and GTPase activation [143,144,145]. ALS/FTD pathogenesis often involves GGGGCC (G4C2) repeat expansion in its first intron, predominantly in European ALS patients [146,147]. Normally, G4C2 repeats are less than 30, but in fALS, repeats can exceed hundreds [148]. C9orf72-related ALS/FTLD involves loss of function, RNA toxicity, and toxic dipeptide protein accumulation. Deleting the gene caused paralysis, nuclear transport issues, lysosomal dysregulation, and neurodegeneration [149,150,151]. Studies on C9orf72 homolog alfa-1 in C. elegans revealed age-related motor defects and stress sensitivity in alfa-1 mutants [151]. Anna Corrionero et al. discovered that the expression of the C9orf72 protein in C. elegans partially rescued the spot-like phenotype caused by the alfa-1 deletion mutation, suggesting a functional conservation between C9orf72 and ALFA-1 [150]. Moreover, both ALFA-1 and C9orf72 interact with Rag and Rab-GTPases, affecting mTOR signaling and endosomal trafficking [152,153,154]. Notably, alfa-1 deletion exacerbated motor impairments from TDP-43 toxicity, indicating complex ALS gene interactions [151].
Through forward genetic screening, F57A10.2/VAMP and lysosomal acid phosphatase ACP-4/ACP2 were identified as suppressors of C9orf72-related phenotypes [149]. Furthermore, the nuclear E3 ubiquitin ligase linker protein SPOP and the eukaryotic translation initiation factor 2D (eIF-2D/eIF2D) can inhibit the protein toxicity of PR50 (Pro Arg 50, a dipeptide repeat protein (DPR)), indicating that they are therapeutic targets for C9orf72-related ALS/FTD [155,156]. Notably, another study showed that deletion of Lethal (3) malignant brain tumor-like protein 1 (L3MBTL1) effectively reduces the toxicity associated with both SOD1 and C9orf72 mutations [157]. These modifiers suggest autophagy, the ubiquitin proteasome system, RAN translation, and stress granules as potential therapeutic targets for C9orf72-related ALS.

4.4. Fusion Sarcoma (FUS)

FUS is a 526-amino acid RNA-binding protein that is similar to TDP-43 and predominantly localizes within the nucleus but can shuttle between the nucleus and cytoplasm [158,159,160,161]. To date, more than 100 pathogenic FUS variants have been identified in ALS patients. Most of them are missense mutations, and the pathogenic mutations are mainly located in the C-terminal, RGG binding, or nuclear localization signal (NLS) domains of the protein, which disrupt FUS localization, transcription, RNA maturation, and form toxic aggregates [161,162,163,164,165,166]. Pathogenic fus gene variants, often inherited dominantly, are linked to early-onset ALS [167]. In addition to ALS, cytoplasmic FUS aggregations are also found in other NDDs, suggesting a crucial role in these diseases [168]. The FUS homolog FUST-1 in C. elegans shares similarities with FUS [169,170,171]. Deletion of fust-1 leads to ALS-like phenotypes [172]. A humanized ALS model using fust-1 mutant C. elegans revealed the role of FUST-1 in modulating SOD-1, VGLUT/EAT-4, GLR-1, and oxidative stress, offering insights into ALS pathogenesis and therapeutic targets [173].
Studies in C. elegans show that FUS mutants cause neuronal dysfunction and death, whereas WT-FUS overexpression does not induce ALS-like phenotypes. ALS cases with FUS mutations, especially the R495X mutant, exhibit early-onset motor neuron damage and rapid neurodegeneration [161]. C-terminal NLS mutants of FUS, like FUS501, shorten lifespan and impair motor function [174]. Moreover, single-copy transgenic C. elegans expressing human FUS in GABAergic neurons display ALS-like phenotypes [168]. Furthermore, CRISPR-Cas9 created R524S and P525L ALS FUS models in C. elegans, which show neuromuscular and motor impairments under stress, dependent on SQST-1 [172]. Recently, one study suggested that the P525L mutation is particularly aggressive, affecting stress granule dynamics and enhancing interaction with PARP1 (an enzyme responsible for catalyzing poly-ADP-ribosylation) in human iPSC-derived motor neurons. When knocking down the C. elegans, histone H1.2 and PARP1 homologues significantly reduced the FUSP525L aggregation and neurodegeneration [175]. Despite significant advancements in generating FUS related mutant C. elegans models for neurodegeneration research, a striking knowledge gap persists in mapping their druggable molecular targets, particularly within context-dependent proteostasis networks.

5. Huntington’s Disease (HD)

HD is a rare autosomal dominant neurodegenerative disorder caused by CAG trinucleotide repeat expansion in the huntingtin (HTT) gene, leading to aggregation of polyglutamine (polyQ)-expanded mutant huntingtin protein [6,176,177,178,179]. C. elegans models (e.g., Htn-Q150, Q40::YFP, or Q128::GFP) expressing polyQ peptides in sensory neurons recapitulate key pathological features, including progressive protein aggregation and neurodegeneration [180,181]. These models have identified three classes of conserved neuroprotective targets, (1) Protein homeostasis regulators—molecular chaperones (HSP-70/-40/-90), autophagy components (atg-1, lgg-1), HSF-1 transcription factor, and insulin/IGF-1 signaling (daf-2/daf-16) mitigate polyQ toxicity by enhancing refolding, degradation, or clearance of misfolded proteins [182,183,184,185,186]; (2) Post-translational modifiers—deacetylases (Sirtuin-1/2), ubiquitination-related proteins (UBR5, UBC-25, RPN-6, and AMPK), and phosphorylation-associated proteins. TBK1 regulates protein quality control [186,187,188,189,190,191,192]; (3) Mitochondrial homeostasis factors—such as pgp-3 genes and mitochondrial fission suppressors ameliorate locomotor defects via RNAi screens [193,194,195,196]. Pharmacological interventions (e.g., rapamycin) further rescue motor deficits by inducing autophagy [197].
Despite these advances, translational challenges persist. The absence of endogenous HTT in C. elegans limits exploration of context-dependent polyQ toxicity (e.g., nuclear aggregation effects) [198]. Species-specific outcomes—such as HSP-90 inhibition alleviating toxicity in worms but exacerbating neurodegeneration in Drosophila—highlight divergent chaperone functions [199]. Moreover, protective effects of autophagy induction (e.g., rapamycin) and chaperone modulation show inconsistent efficacy in mammalian models, underscoring the need for cross-species validation and models expressing full-length mutant HTT to bridge mechanistic insights to therapeutic development [185,200,201].

6. Prion Diseases

Prion diseases, also known as transmissible spongiform encephalopathies (TSEs), are a group of fatal neurodegenerative disorders caused by the misfolding of the cellular prion protein (PrPC) into a pathogenic isoform (PrPSc) [4]. This conformational change triggers self-propagating aggregation, leading to neuronal loss, spongiform vacuolation, and gliosis in the brain. Unlike other neurodegenerative diseases, prion diseases exhibit infectious, sporadic, and genetic origins, with clinical manifestations including rapid cognitive decline, ataxia, and myoclonus [4]. The use of C. elegans to model prion diseases has provided valuable insights into the mechanisms of prion propagation and toxicity. By manipulating genes involved in protein quality control and cellular stress responses in C. elegans, researchers have been able to identify potential therapeutic targets for prion diseases [202,203,204].
High-throughput screening in C. elegans has uncovered key regulatory networks in prion pathogenesis. Firstly, dual roles of chaperone systems: HSP-70 family members (e.g., HSP-1) delay PrP aggregation through direct binding, but excessive activation exacerbates toxicity, indicating dose-dependent regulation [205]. Secondly, modulation of autophagy-lysosome pathways: RNAi screens reveal that knockdown of atg-5 or lgg-1 (LC3 homolog) increases PrP aggregation burden, while rapamycin-induced autophagy alleviates motor deficits [206]. Thirdly, cross-species conserved synergistic toxicity: PrP and HD-associated polyQ proteins exhibit cooperative aggregation in C. elegans, suggesting shared pathogenic pathways among misfolded proteins [195]. Moreover, CRISPR-based gene editing knockout of PrP receptor homologs (e.g., LAMR-1, a laminin receptor analog) inhibits PrP endocytosis and cell-to-cell propagation [196]. Although C. elegans models show promise in prion disease research, several challenges remain [203]. For example, the absence of endogenous PrP genes in worms may hinder accurate recapitulation of native mammalian PrP conformational dynamics; current models struggle to replicate PrP’s trans-synaptic spread within the central nervous system. Future studies could address these gaps by developing humanized PrP transgenic strains, integrating microfluidic chips to simulate neural circuits, and applying single-cell sequencing to resolve spatiotemporal propagation patterns of prion proteins.

7. Discussion and Future Perspectives

C.elegans has emerged as a cornerstone model for deciphering molecular mechanisms and targets underlying NDDs, leveraging its genetic tractability, conserved pathways, and capacity for high-throughput screening (Figure 2). Studies across AD, PD, ALS, HD, and prion diseases have consistently highlighted the centrality of proteostasis networks in mitigating protein misfolding and aggregation. For example, molecular chaperones (e.g., HSP-70/HSP-1) exhibit dual roles in polyQ and PrP toxicity, where moderate activity suppresses aggregation but chronic overexpression exacerbates proteostatic stress [182,205]. Similarly, autophagy-lysosome pathways and ubiquitin-proteasome systems are critical for clearing toxic species like Aβ, alpha-Syn and TDP-43, as demonstrated by rapamycin-induced autophagy rescuing motor deficits in HD and PD models [101,197]. The nematode’s transparent body and mapped nervous system further enable real-time tracking of neurodegeneration, such as Thioflavin T-positive Aβ plaques in AD and synaptic vesicle mislocalization in PD [24,61]. Despite these advances, translational challenges persist. The absence of endogenous human disease genes (e.g., HTT and PrP, etc.) limits the recapitulation of nuclear aggregation or trans-synaptic prion spread [196,198], while species-specific discrepancies (such as HSP-90 inhibition alleviating toxicity in worms but worsening neurodegeneration in Drosophila) underscore the need for cross-validation [199]. Moreover, inconsistent efficacy of autophagy induction in mammalian models emphasizes the complexity of scaling nematode-derived insights to humans [185,200].
To bridge these gaps, future research should prioritize three frontiers: (1) Model refinement—leveraging CRISPR-Cas9 for polygenic NDD modeling, humanized transgene integration (e.g., full-length HTT or C9orf72 repeats), and organoid-coculture systems to mimic neuronal-glial crosstalk; (2) Multi-omics integration—applying single-cell transcriptomics and spatially resolved proteomics to resolve neuron-specific vulnerability and spatiotemporal aggregation dynamics; and (3) Translational innovation—developing in vivo high-content screens for small-molecule chaperone inducers and CRISPR-based gene therapies targeting aging-modulated pathways (e.g., daf-2/daf-16). Additionally, exploring the synergy between proteostasis enhancers and anti-aging interventions (e.g., mitochondrial UPR activators) could unveil combinatorial therapies. Finally, validating C. elegans-derived targets in patient-derived iPSC models or 3D bioprinted neural tissues will bridge the gap between nematode genetics and clinical applicability. By addressing these challenges, C. elegans will remain indispensable for decoding NDD complexity and accelerating therapeutic discovery.

Author Contributions

Conceptualization, R.Z., R.X., Q.K., X.Y. and P.Y.; literature search, writing—review and editing, R.Z., R.X., Q.K., X.Y. and P.Y.; Preparation of the final manuscript, R.X. and X.Y.; Figure creation, R.X. and Q.K.; Final check (grammar and spelling) and proofread, R.Z. and P.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (32270739) to RZ.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
NDDsNeurodegenerative diseases
ADAlzheimer’s Disease
PDParkinson’s Disease
ALSamyotrophic lateral sclerosis
HDHuntington’s Disease
C. elegansCaenorhabditis elegans
KOknockout
EOADearly-onset AD
LOADlate-onset AD
NFTsneurofibrillary tangles
OEoverexpressing
Aβ peptideamyloid-beta peptide
OGTO-GlcNAc transferase
MAP2microtubule-associated protein 2
UPRERendoplasmic reticulum unfolded protein response
alpha-Synalpha Synuclein
DAdopamine
GFPgreen fluorescent protein
BiFCbimolecular fluorescence complementation
miRNAsmicroRNAs
LRRK2Leucine-rich repeat kinase 2
Grx1Glutaredoxin 1
6-OHDA6-hydroxydopamine
DATdopamine transporters
PQParaquat
sALSsporadic ALS
fALSfamilial ALS
SOD1Cu/Zn superoxide dismutase 1
TDP-43TAR DNA-binding protein 43
C9orf72Chromosome 9 Open Reading Frame 72
FUSFusion sarcoma
hmSOD1human SOD1
VCPvaline-containing protein
MPSα-methyl-α-phenylsuccinimide
DPRsdipeptide repeat protein
L3MBTL1Lethal (3) malignant brain tumor-like protein 1
G4C2GGGGCC
NLSnuclear localization signal
HTThuntingtin
polyQpolyglutamine
TSEstransmissible spongiform encephalopathies
PrPprion protein

References

  1. Wu, Y.; Chen, Y.; Yu, X.; Zhang, M.; Li, Z. Towards Understanding Neurodegenerative Diseases: Insights from Caenorhabditis elegans. Int. J. Mol. Sci. 2023, 25, 443. [Google Scholar] [CrossRef] [PubMed]
  2. Cheslow, L.; Snook, A.E.; Waldman, S.A. Biomarkers for Managing Neurodegenerative Diseases. Biomolecules 2024, 14, 398. [Google Scholar] [CrossRef]
  3. Tenchov, R.; Sasso, J.M.; Zhou, Q.A. Polyglutamine (PolyQ) Diseases: Navigating the Landscape of Neurodegeneration. ACS Chem. Neurosci. 2024, 15, 2665–2694. [Google Scholar] [CrossRef] [PubMed]
  4. Baiardi, S.; Mammana, A.; Capellari, S.; Parchi, P. Human prion disease: Molecular pathogenesis, and possible therapeutic targets and strategies. Expert. Opin. Ther. Targets 2023, 27, 1271–1284. [Google Scholar] [CrossRef] [PubMed]
  5. Sundaramoorthy, T.H.; Castanho, I. The Neuroepigenetic Landscape of Vertebrate and Invertebrate Models of Neurodegenerative Diseases. Epigenet. Insights 2022, 15, 25168657221135848. [Google Scholar] [CrossRef] [PubMed]
  6. Rani, N.; Alam, M.M.; Jamal, A.; Bin Ghaffar, U.; Parvez, S. Caenorhabditis elegans: A transgenic model for studying age-associated neurodegenerative diseases. Ageing Res. Rev. 2023, 91, 102036. [Google Scholar] [CrossRef]
  7. Brenner, S. The genetics of Caenorhabditis elegans. Genetics 1974, 77, 71–94. [Google Scholar] [CrossRef] [PubMed]
  8. Lai, C.H.; Chou, C.Y.; Ch’ang, L.Y.; Liu, C.S.; Lin, W. Identification of novel human genes evolutionarily conserved in Caenorhabditis elegans by comparative proteomics. Genome Res. 2000, 10, 703–713. [Google Scholar] [CrossRef]
  9. Cook, S.J.; Jarrell, T.A.; Brittin, C.A.; Wang, Y.; Bloniarz, A.E.; Yakovlev, M.A.; Nguyen, K.C.Q.; Tang, L.T.; Bayer, E.A.; Duerr, J.S.; et al. Whole-animal connectomes of both Caenorhabditis elegans sexes. Nature 2019, 571, 63–71. [Google Scholar] [CrossRef]
  10. White, J.G.; Southgate, E.; Thomson, J.N.; Brenner, S. The structure of the nervous system of the nematode Caenorhabditis elegans. Philos. Trans. R. Soc. Lond. B Biol. Sci. 1986, 314, 1–340. [Google Scholar] [CrossRef]
  11. Roussos, A.; Kitopoulou, K.; Borbolis, F.; Palikaras, K. Caenorhabditis elegans as a Model System to Study Human Neurodegenerative Disorders. Biomolecules 2023, 13, 478. [Google Scholar] [CrossRef] [PubMed]
  12. Flavell, S.W.; Pokala, N.; Macosko, E.Z.; Albrecht, D.R.; Larsch, J.; Bargmann, C.I. Serotonin and the neuropeptide PDF initiate and extend opposing behavioral states in C. elegans. Cell 2013, 154, 1023–1035. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, X.; Barclay, J.W.; Burgoyne, R.D.; Morgan, A. Using C. elegans to discover therapeutic compounds for ageing-associated neurodegenerative diseases. Chem. Cent. J. 2015, 9, 65. [Google Scholar] [CrossRef]
  14. Ikenaka, K.; Tsukada, Y.; Giles, A.C.; Arai, T.; Nakadera, Y.; Nakano, S.; Kawai, K.; Mochizuki, H.; Katsuno, M.; Sobue, G.; et al. A behavior-based drug screening system using a Caenorhabditis elegans model of motor neuron disease. Sci. Rep. 2019, 9, 10104. [Google Scholar] [CrossRef]
  15. Rajendran, K.; Krishnan, U.M. Biomarkers in Alzheimer’s disease. Clin. Chim. Acta 2024, 562, 119857. [Google Scholar] [CrossRef] [PubMed]
  16. Better, M.A. Alzheimer’s disease facts and figures. Alzheimer’s Dement. 2023, 19, 1598–1695. [Google Scholar] [CrossRef]
  17. Andrade-Guerrero, J.; Santiago-Balmaseda, A.; Jeronimo-Aguilar, P.; Vargas-Rodriguez, I.; Cadena-Suarez, A.R.; Sanchez-Garibay, C.; Pozo-Molina, G.; Mendez-Catala, C.F.; Cardenas-Aguayo, M.D.; Diaz-Cintra, S.; et al. Alzheimer’s Disease: An Updated Overview of Its Genetics. Int. J. Mol. Sci. 2023, 24, 3754. [Google Scholar] [CrossRef] [PubMed]
  18. Ashrafian, H.; Zadeh, E.H.; Khan, R.H. Review on Alzheimer’s disease: Inhibition of amyloid beta and tau tangle formation. Int. J. Biol. Macromol. 2021, 167, 382–394. [Google Scholar] [CrossRef]
  19. Alvarez, J.; Alvarez-Illera, P.; Santo-Domingo, J.; Fonteriz, R.I.; Montero, M. Modeling Alzheimer’s Disease in Caenorhabditis elegans. Biomedicines 2022, 10, 288. [Google Scholar] [CrossRef]
  20. Ortega, F.; Stott, J.; Visser, S.A.; Bendtsen, C. Interplay between alpha-, beta-, and gamma-secretases determines biphasic amyloid-beta protein level in the presence of a gamma-secretase inhibitor. J. Biol. Chem. 2013, 288, 785–792. [Google Scholar] [CrossRef]
  21. Hata, S. Molecular Pathogenesis of Sporadic Alzheimer’s Disease (AD) and Pharmaceutical Research to Develop a Biomarker for AD Diagnosis. Yakugaku Zasshi 2015, 135, 1023–1027. [Google Scholar] [CrossRef] [PubMed]
  22. Chang, Y.J.; Chen, Y.R. The coexistence of an equal amount of Alzheimer’s amyloid-beta 40 and 42 forms structurally stable and toxic oligomers through a distinct pathway. FEBS J. 2014, 281, 2674–2687. [Google Scholar] [CrossRef]
  23. Link, C.D. Expression of human beta-amyloid peptide in transgenic Caenorhabditis elegans. Proc. Natl. Acad. Sci. USA 1995, 92, 9368–9372. [Google Scholar] [CrossRef] [PubMed]
  24. Dinda, B.; Dinda, M.; Kulsi, G.; Chakraborty, A.; Dinda, S. Therapeutic potentials of plant iridoids in Alzheimer’s and Parkinson’s diseases: A review. Eur. J. Med. Chem. 2019, 169, 185–199. [Google Scholar] [CrossRef]
  25. Wang, P.; Lazarus, B.D.; Forsythe, M.E.; Love, D.C.; Krause, M.W.; Hanover, J.A. O-GlcNAc cycling mutants modulate proteotoxicity in Caenorhabditis elegans models of human neurodegenerative diseases. Proc. Natl. Acad. Sci. USA 2012, 109, 17669–17674. [Google Scholar] [CrossRef] [PubMed]
  26. Jan, A.; Jansonius, B.; Delaidelli, A.; Somasekharan, S.P.; Bhanshali, F.; Vandal, M.; Negri, G.L.; Moerman, D.; MacKenzie, I.; Calon, F.; et al. eEF2K inhibition blocks Abeta42 neurotoxicity by promoting an NRF2 antioxidant response. Acta Neuropathol. 2017, 133, 101–119. [Google Scholar] [CrossRef] [PubMed]
  27. Fonte, V.; Kipp, D.R.; Yerg, J., 3rd; Merin, D.; Forrestal, M.; Wagner, E.; Roberts, C.M.; Link, C.D. Suppression of in vivo beta-amyloid peptide toxicity by overexpression of the HSP-16.2 small chaperone protein. J. Biol. Chem. 2008, 283, 784–791. [Google Scholar] [CrossRef] [PubMed]
  28. Link, C.D.; Fonte, V.; Hiester, B.; Yerg, J.; Ferguson, J.; Csontos, S.; Silverman, M.A.; Stein, G.H. Conversion of green fluorescent protein into a toxic, aggregation-prone protein by C-terminal addition of a short peptide. J. Biol. Chem. 2006, 281, 1808–1816. [Google Scholar] [CrossRef] [PubMed]
  29. Zhu, M.; Gu, H.; Bai, H.; Li, Y.; Zhong, C.; Huang, X. Role and molecular regulatory mechanisms of Hippo signaling pathway in Caenorhabditis elegans and mammalian cell models of Alzheimer’s disease. Neurobiol. Aging 2024, 134, 9–20. [Google Scholar] [CrossRef]
  30. Florez-McClure, M.L.; Hohsfield, L.A.; Fonte, G.; Bealor, M.T.; Link, C.D. Decreased insulin-receptor signaling promotes the autophagic degradation of beta-amyloid peptide in C. elegans. Autophagy 2007, 3, 569–580. [Google Scholar] [CrossRef]
  31. McDermott, J.B.; Aamodt, S.; Aamodt, E. ptl-1, a Caenorhabditis elegans gene whose products are homologous to the tau microtubule-associated proteins. Biochemistry 1996, 35, 9415–9423. [Google Scholar] [CrossRef] [PubMed]
  32. Chew, Y.L.; Fan, X.; Gotz, J.; Nicholas, H.R. PTL-1 regulates neuronal integrity and lifespan in C. elegans. J. Cell Sci. 2013, 126, 2079–2091. [Google Scholar] [CrossRef] [PubMed]
  33. Natale, C.; Barzago, M.M.; Diomede, L. Caenorhabditis elegans Models to Investigate the Mechanisms Underlying Tau Toxicity in Tauopathies. Brain Sci. 2020, 10, 838. [Google Scholar] [CrossRef]
  34. Kraemer, B.C.; Zhang, B.; Leverenz, J.B.; Thomas, J.H.; Trojanowski, J.Q.; Schellenberg, G.D. Neurodegeneration and defective neurotransmission in a Caenorhabditis elegans model of tauopathy. Proc. Natl. Acad. Sci. USA 2003, 100, 9980–9985. [Google Scholar] [CrossRef] [PubMed]
  35. Miyasaka, T.; Ding, Z.; Gengyo-Ando, K.; Oue, M.; Yamaguchi, H.; Mitani, S.; Ihara, Y. Progressive neurodegeneration in C. elegans model of tauopathy. Neurobiol. Dis. 2005, 20, 372–383. [Google Scholar] [CrossRef]
  36. Brandt, R.; Gergou, A.; Wacker, I.; Fath, T.; Hutter, H. A Caenorhabditis elegans model of tau hyperphosphorylation: Induction of developmental defects by transgenic overexpression of Alzheimer’s disease-like modified tau. Neurobiol. Aging 2009, 30, 22–33. [Google Scholar] [CrossRef]
  37. Mi, K.; Johnson, G.V. The role of tau phosphorylation in the pathogenesis of Alzheimer’s disease. Curr. Alzheimer Res. 2006, 3, 449–463. [Google Scholar] [CrossRef]
  38. Cohen, T.J.; Guo, J.L.; Hurtado, D.E.; Kwong, L.K.; Mills, I.P.; Trojanowski, J.Q.; Lee, V.M. The acetylation of tau inhibits its function and promotes pathological tau aggregation. Nat. Commun. 2011, 2, 252. [Google Scholar] [CrossRef]
  39. Min, S.W.; Chen, X.; Tracy, T.E.; Li, Y.; Zhou, Y.; Wang, C.; Shirakawa, K.; Minami, S.S.; Defensor, E.; Mok, S.A.; et al. Critical role of acetylation in tau-mediated neurodegeneration and cognitive deficits. Nat. Med. 2015, 21, 1154–1162. [Google Scholar] [CrossRef]
  40. Augustinack, J.C.; Schneider, A.; Mandelkow, E.M.; Hyman, B.T. Specific tau phosphorylation sites correlate with severity of neuronal cytopathology in Alzheimer’s disease. Acta Neuropathol. 2002, 103, 26–35. [Google Scholar] [CrossRef]
  41. Guha, S.; Fischer, S.; Johnson, G.V.W.; Nehrke, K. Tauopathy-associated tau modifications selectively impact neurodegeneration and mitophagy in a novel C. elegans single-copy transgenic model. Mol. Neurodegener. 2020, 15, 65. [Google Scholar] [CrossRef] [PubMed]
  42. Han, M.; Saxton, A.; Currey, H.; Waldherr, S.M.; Liachko, N.F.; Kraemer, B.C. Transgenic Dendra2::tau expression allows in vivo monitoring of tau proteostasis in Caenorhabditis elegans. Dis. Model. Mech. 2024, 17, dmm050473. [Google Scholar] [CrossRef] [PubMed]
  43. Wang, C.; Saar, V.; Leung, K.L.; Chen, L.; Wong, G. Human amyloid beta peptide and tau co-expression impairs behavior and causes specific gene expression changes in Caenorhabditis elegans. Neurobiol. Dis. 2018, 109, 88–101. [Google Scholar] [CrossRef] [PubMed]
  44. Kraemer, B.C.; Schellenberg, G.D. SUT-1 enables tau-induced neurotoxicity in C. elegans. Hum. Mol. Genet. 2007, 16, 1959–1971. [Google Scholar] [CrossRef] [PubMed]
  45. Currey, H.N.; Kraemer, B.C.; Liachko, N.F. sut-2 loss of function mutants protect against tau-driven shortened lifespan and hyperactive pharyngeal pumping in a C. elegans model of tau toxicity. MicroPubl. Biol. 2023, 2023, 10.17912. [Google Scholar] [CrossRef]
  46. Guthrie, C.R.; Schellenberg, G.D.; Kraemer, B.C. SUT-2 potentiates tau-induced neurotoxicity in Caenorhabditis elegans. Hum. Mol. Genet. 2009, 18, 1825–1838. [Google Scholar] [CrossRef]
  47. Kow, R.L.; Black, A.H.; Henderson, B.P.; Kraemer, B.C. Sut-6/NIPP1 modulates tau toxicity. Hum. Mol. Genet. 2023, 32, 2292–2306. [Google Scholar] [CrossRef]
  48. Kow, R.L.; Black, A.H.; Saxton, A.D.; Liachko, N.F.; Kraemer, B.C. Loss of aly/ALYREF suppresses toxicity in both tau and TDP-43 models of neurodegeneration. Geroscience 2022, 44, 747–761. [Google Scholar] [CrossRef]
  49. Eck, R.J.; Kow, R.L.; Black, A.H.; Liachko, N.F.; Kraemer, B.C. SPOP loss of function protects against tauopathy. Proc. Natl. Acad. Sci. USA 2023, 120, e2207250120. [Google Scholar] [CrossRef]
  50. Tiwari, V.; Buvarp, E.; Borbolis, F.; Puligilla, C.; Croteau, D.L.; Palikaras, K.; Bohr, V.A. Loss of DNA glycosylases improves health and cognitive function in a C. elegans model of human tauopathy. Nucleic. Acids Res. 2024, 52, 10965–10985. [Google Scholar] [CrossRef]
  51. Vidovic, M.; Rikalovic, M.G. Alpha-Synuclein Aggregation Pathway in Parkinson’s Disease: Current Status and Novel Therapeutic Approaches. Cells 2022, 11, 1732. [Google Scholar] [CrossRef] [PubMed]
  52. Ye, H.; Robak, L.A.; Yu, M.; Cykowski, M.; Shulman, J.M. Genetics and Pathogenesis of Parkinson’s Syndrome. Annu. Rev. Pathol. 2023, 18, 95–121. [Google Scholar] [CrossRef] [PubMed]
  53. Munhoz, R.P.; Tumas, V.; Pedroso, J.L.; Silveira-Moriyama, L. The clinical diagnosis of Parkinson’s disease. Arq. Neuropsiquiatr. 2024, 82, 1–10. [Google Scholar] [CrossRef] [PubMed]
  54. da Silva, L.P.D.; da Cruz Guedes, E.; Fernandes, I.C.O.; Pedroza, L.A.L.; da Silva Pereira, G.J.; Gubert, P. Exploring Caenorhabditis elegans as Parkinson’s Disease Model: Neurotoxins and Genetic Implications. Neurotox. Res. 2024, 42, 11. [Google Scholar] [CrossRef] [PubMed]
  55. Ma, L.; Li, X.; Liu, C.; Yan, W.; Ma, J.; Petersen, R.B.; Peng, A.; Huang, K. Modelling Parkinson’s Disease in C. elegans: Strengths and Limitations. Curr. Pharm. Des. 2022, 28, 3033–3048. [Google Scholar] [CrossRef]
  56. Cooper, J.F.; Van Raamsdonk, J.M. Modeling Parkinson’s Disease in C. elegans. J. Park. Dis. 2018, 8, 17–32. [Google Scholar] [CrossRef]
  57. Kawahata, I.; Finkelstein, D.I.; Fukunaga, K. Pathogenic Impact of alpha-Synuclein Phosphorylation and Its Kinases in alpha-Synucleinopathies. Int. J. Mol. Sci. 2022, 23, 6216. [Google Scholar] [CrossRef]
  58. Perni, M.; Flagmeier, P.; Limbocker, R.; Cascella, R.; Aprile, F.A.; Galvagnion, C.; Heller, G.T.; Meisl, G.; Chen, S.W.; Kumita, J.R.; et al. Multistep Inhibition of alpha-Synuclein Aggregation and Toxicity in Vitro and in Vivo by Trodusquemine. ACS Chem. Biol. 2018, 13, 2308–2319. [Google Scholar] [CrossRef] [PubMed]
  59. Vicario, M.; Cieri, D.; Vallese, F.; Catoni, C.; Barazzuol, L.; Berto, P.; Grinzato, A.; Barbieri, L.; Brini, M.; Cali, T. A split-GFP tool reveals differences in the sub-mitochondrial distribution of wt and mutant alpha-synuclein. Cell Death Dis. 2019, 10, 857. [Google Scholar] [CrossRef]
  60. Asthana, J.; Shravage, B.V. Exploring therapeutic potential of mitophagy modulators using Drosophila models of Parkinson’s disease. Front. Aging Neurosci. 2022, 14, 986849. [Google Scholar] [CrossRef]
  61. Lakso, M.; Vartiainen, S.; Moilanen, A.M.; Sirvio, J.; Thomas, J.H.; Nass, R.; Blakely, R.D.; Wong, G. Dopaminergic neuronal loss and motor deficits in Caenorhabditis elegans overexpressing human alpha-synuclein. J. Neurochem. 2003, 86, 165–172. [Google Scholar] [CrossRef] [PubMed]
  62. Hamamichi, S.; Rivas, R.N.; Knight, A.L.; Cao, S.; Caldwell, K.A.; Caldwell, G.A. Hypothesis-based RNAi screening identifies neuroprotective genes in a Parkinson’s disease model. Proc. Natl. Acad. Sci. USA 2008, 105, 728–733. [Google Scholar] [CrossRef] [PubMed]
  63. Cooper, A.A.; Gitler, A.D.; Cashikar, A.; Haynes, C.M.; Hill, K.J.; Bhullar, B.; Liu, K.; Xu, K.; Strathearn, K.E.; Liu, F.; et al. Alpha-synuclein blocks ER-Golgi traffic and Rab1 rescues neuron loss in Parkinson’s models. Science 2006, 313, 324–328. [Google Scholar] [CrossRef] [PubMed]
  64. Qiao, L.; Hamamichi, S.; Caldwell, K.A.; Caldwell, G.A.; Yacoubian, T.A.; Wilson, S.; Xie, Z.L.; Speake, L.D.; Parks, R.; Crabtree, D.; et al. Lysosomal enzyme cathepsin D protects against alpha-synuclein aggregation and toxicity. Mol. Brain 2008, 1, 17. [Google Scholar] [CrossRef] [PubMed]
  65. Yacoubian, T.A.; Slone, S.R.; Harrington, A.J.; Hamamichi, S.; Schieltz, J.M.; Caldwell, K.A.; Caldwell, G.A.; Standaert, D.G. Differential neuroprotective effects of 14-3-3 proteins in models of Parkinson’s disease. Cell Death Dis. 2010, 1, e2. [Google Scholar] [CrossRef]
  66. Kim, H.; Calatayud, C.; Guha, S.; Fernandez-Carasa, I.; Berkowitz, L.; Carballo-Carbajal, I.; Ezquerra, M.; Fernandez-Santiago, R.; Kapahi, P.; Raya, A.; et al. The Small GTPase RAC1/CED-10 Is Essential in Maintaining Dopaminergic Neuron Function and Survival Against alpha-Synuclein-Induced Toxicity. Mol. Neurobiol. 2018, 55, 7533–7552. [Google Scholar] [CrossRef] [PubMed]
  67. Knight, A.L.; Yan, X.; Hamamichi, S.; Ajjuri, R.R.; Mazzulli, J.R.; Zhang, M.W.; Daigle, J.G.; Zhang, S.; Borom, A.R.; Roberts, L.R.; et al. The glycolytic enzyme, GPI, is a functionally conserved modifier of dopaminergic neurodegeneration in Parkinson’s models. Cell Metab. 2014, 20, 145–157. [Google Scholar] [CrossRef]
  68. Cooper, J.F.; Machiela, E.; Dues, D.J.; Spielbauer, K.K.; Senchuk, M.M.; Van Raamsdonk, J.M. Activation of the mitochondrial unfolded protein response promotes longevity and dopamine neuron survival in Parkinson’s disease models. Sci. Rep. 2017, 7, 16441. [Google Scholar] [CrossRef]
  69. Martinez, B.A.; Petersen, D.A.; Gaeta, A.L.; Stanley, S.P.; Caldwell, G.A.; Caldwell, K.A. Dysregulation of the Mitochondrial Unfolded Protein Response Induces Non-Apoptotic Dopaminergic Neurodegeneration in C. elegans Models of Parkinson’s Disease. J. Neurosci. 2017, 37, 11085–11100. [Google Scholar] [CrossRef]
  70. Gaeta, A.L.; Caldwell, K.A.; Caldwell, G.A. Found in Translation: The Utility of C. elegans Alpha-Synuclein Models of Parkinson’s Disease. Brain Sci. 2019, 9, 73. [Google Scholar] [CrossRef]
  71. Sharma, N.; Hewett, J.; Ozelius, L.J.; Ramesh, V.; McLean, P.J.; Breakefield, X.O.; Hyman, B.T. A close association of torsinA and alpha-synuclein in Lewy bodies: A fluorescence resonance energy transfer study. Am. J. Pathol. 2001, 159, 339–344. [Google Scholar] [CrossRef] [PubMed]
  72. Tyson, T.; Senchuk, M.; Cooper, J.F.; George, S.; Van Raamsdonk, J.M.; Brundin, P. Novel animal model defines genetic contributions for neuron-to-neuron transfer of alpha-synuclein. Sci. Rep. 2017, 7, 7506. [Google Scholar] [CrossRef] [PubMed]
  73. Ray, A.; Zhang, S.; Rentas, C.; Caldwell, K.A.; Caldwell, G.A. RTCB-1 mediates neuroprotection via XBP-1 mRNA splicing in the unfolded protein response pathway. J. Neurosci. 2014, 34, 16076–16085. [Google Scholar] [CrossRef] [PubMed]
  74. Starr, L.A.; McKay, L.E.; Peter, K.N.; Seyfarth, L.M.; Berkowitz, L.A.; Caldwell, K.A.; Caldwell, G.A. Attenuation of Dopaminergic Neurodegeneration in a C. elegans Parkinson’s Model through Regulation of Xanthine Dehydrogenase (XDH-1) Expression by the RNA Editase, ADR-2. J. Dev. Biol. 2023, 11, 20. [Google Scholar] [CrossRef] [PubMed]
  75. Shamsuzzama; Kumar, L.; Nazir, A. Modulation of Alpha-synuclein Expression and Associated Effects by MicroRNA Let-7 in Transgenic C. elegans. Front. Mol. Neurosci. 2017, 10, 328. [Google Scholar] [CrossRef]
  76. Bae, J.R.; Lee, B.D. Function and dysfunction of leucine-rich repeat kinase 2 (LRRK2): Parkinson’s disease and beyond. BMB Rep. 2015, 48, 243–248. [Google Scholar] [CrossRef]
  77. Seegobin, S.P.; Heaton, G.R.; Liang, D.; Choi, I.; Blanca Ramirez, M.; Tang, B.; Yue, Z. Progress in LRRK2-Associated Parkinson’s Disease Animal Models. Front. Neurosci. 2020, 14, 674. [Google Scholar] [CrossRef]
  78. Sakaguchi-Nakashima, A.; Meir, J.Y.; Jin, Y.; Matsumoto, K.; Hisamoto, N. LRK-1, a C. elegans PARK8-related kinase, regulates axonal-dendritic polarity of SV proteins. Curr. Biol. 2007, 17, 592–598. [Google Scholar] [CrossRef]
  79. Mata, I.; Salles, P.; Cornejo-Olivas, M.; Saffie, P.; Ross, O.A.; Reed, X.; Bandres-Ciga, S. LRRK2: Genetic mechanisms vs genetic subtypes. Handb. Clin. Neurol. 2023, 193, 133–154. [Google Scholar] [CrossRef]
  80. Samann, J.; Hegermann, J.; von Gromoff, E.; Eimer, S.; Baumeister, R.; Schmidt, E. Caenorhabditits elegans LRK-1 and PINK-1 act antagonistically in stress response and neurite outgrowth. J. Biol. Chem. 2009, 284, 16482–16491. [Google Scholar] [CrossRef]
  81. Yao, C.; El Khoury, R.; Wang, W.; Byrd, T.A.; Pehek, E.A.; Thacker, C.; Zhu, X.; Smith, M.A.; Wilson-Delfosse, A.L.; Chen, S.G. LRRK2-mediated neurodegeneration and dysfunction of dopaminergic neurons in a Caenorhabditis elegans model of Parkinson’s disease. Neurobiol. Dis. 2010, 40, 73–81. [Google Scholar] [CrossRef] [PubMed]
  82. Yao, C.; Johnson, W.M.; Gao, Y.; Wang, W.; Zhang, J.; Deak, M.; Alessi, D.R.; Zhu, X.; Mieyal, J.J.; Roder, H.; et al. Kinase inhibitors arrest neurodegeneration in cell and C. elegans models of LRRK2 toxicity. Hum. Mol. Genet. 2013, 22, 328–344. [Google Scholar] [CrossRef]
  83. Saha, S.; Ash, P.E.; Gowda, V.; Liu, L.; Shirihai, O.; Wolozin, B. Mutations in LRRK2 potentiate age-related impairment of autophagic flux. Mol. Neurodegener. 2015, 10, 26. [Google Scholar] [CrossRef] [PubMed]
  84. Chandler, R.J.; Cogo, S.; Lewis, P.A.; Kevei, E. Modelling the functional genomics of Parkinson’s disease in Caenorhabditis elegans: LRRK2 and beyond. Biosci. Rep. 2021, 41, BSR20203672. [Google Scholar] [CrossRef] [PubMed]
  85. Senchuk, M.M.; Van Raamsdonk, J.M.; Moore, D.J. Multiple genetic pathways regulating lifespan extension are neuroprotective in a G2019S LRRK2 nematode model of Parkinson’s disease. Neurobiol. Dis. 2021, 151, 105267. [Google Scholar] [CrossRef]
  86. Bae, E.J.; Kim, D.K.; Kim, C.; Mante, M.; Adame, A.; Rockenstein, E.; Ulusoy, A.; Klinkenberg, M.; Jeong, G.R.; Bae, J.R.; et al. LRRK2 kinase regulates alpha-synuclein propagation via RAB35 phosphorylation. Nat. Commun. 2018, 9, 3465. [Google Scholar] [CrossRef] [PubMed]
  87. Ray, A.; Martinez, B.A.; Berkowitz, L.A.; Caldwell, G.A.; Caldwell, K.A. Mitochondrial dysfunction, oxidative stress, and neurodegeneration elicited by a bacterial metabolite in a C. elegans Parkinson’s model. Cell Death Dis. 2014, 5, e984. [Google Scholar] [CrossRef]
  88. Antunes, A.; Saia-Cereda, V.M.; Crunfli, F.; Martins-de-Souza, D. 14-3-3 proteins at the crossroads of neurodevelopment and schizophrenia. World J. Biol. Psychiatry 2022, 23, 14–32. [Google Scholar] [CrossRef]
  89. Morrison, D.K. The 14-3-3 proteins: Integrators of diverse signaling cues that impact cell fate and cancer development. Trends Cell Biol. 2009, 19, 16–23. [Google Scholar] [CrossRef]
  90. Fan, X.; Cui, L.; Zeng, Y.; Song, W.; Gaur, U.; Yang, M. 14-3-3 Proteins Are on the Crossroads of Cancer, Aging, and Age-Related Neurodegenerative Disease. Int. J. Mol. Sci. 2019, 20, 3518. [Google Scholar] [CrossRef]
  91. Long, S.; Guo, W.; Hu, S.; Su, F.; Zeng, Y.; Zeng, J.; Tan, E.K.; Ross, C.A.; Pei, Z. G2019S LRRK2 Increases Stress Susceptibility Through Inhibition of DAF-16 Nuclear Translocation in a 14-3-3 Associated-Manner in Caenorhabditis elegans. Front. Neurosci. 2018, 12, 782. [Google Scholar] [CrossRef]
  92. Johnson, W.M.; Yao, C.; Siedlak, S.L.; Wang, W.; Zhu, X.; Caldwell, G.A.; Wilson-Delfosse, A.L.; Mieyal, J.J.; Chen, S.G. Glutaredoxin deficiency exacerbates neurodegeneration in C. elegans models of Parkinson’s disease. Hum. Mol. Genet. 2015, 24, 1322–1335. [Google Scholar] [CrossRef]
  93. Grecco, A.; Macchiaroli, N.; Perez, M.G.; Casulli, A.; Cucher, M.A.; Rosenzvit, M.C. microRNA silencing in a whole worm cestode model provides insight into miR-71 function. Int. J. Parasitol. 2023, 53, 699–710. [Google Scholar] [CrossRef] [PubMed]
  94. Naidoo, D.; de Lencastre, A. Regulation of TIR-1/SARM-1 by miR-71 Protects Dopaminergic Neurons in a C. elegans Model of LRRK2-Induced Parkinson’s Disease. Int. J. Mol. Sci. 2024, 25, 8795. [Google Scholar] [CrossRef]
  95. Hernandez-Baltazar, D.; Zavala-Flores, L.M.; Villanueva-Olivo, A. The 6-hydroxydopamine model and parkinsonian pathophysiology: Novel findings in an older model. Neurologia 2017, 32, 533–539. [Google Scholar] [CrossRef]
  96. Chia, S.J.; Tan, E.K.; Chao, Y.X. Historical Perspective: Models of Parkinson’s Disease. Int. J. Mol. Sci. 2020, 21, 2464. [Google Scholar] [CrossRef] [PubMed]
  97. Harrington, A.J.; Hamamichi, S.; Caldwell, G.A.; Caldwell, K.A. C. elegans as a model organism to investigate molecular pathways involved with Parkinson’s disease. Dev. Dyn. 2010, 239, 1282–1295. [Google Scholar] [CrossRef] [PubMed]
  98. Hsu, Y.L.; Hung, H.S.; Tsai, C.W.; Liu, S.P.; Chiang, Y.T.; Kuo, Y.H.; Shyu, W.C.; Lin, S.Z.; Fu, R.H. Peiminine Reduces ARTS-Mediated Degradation of XIAP by Modulating the PINK1/Parkin Pathway to Ameliorate 6-Hydroxydopamine Toxicity and alpha-Synuclein Accumulation in Parkinson’s Disease Models In Vivo and In Vitro. Int. J. Mol. Sci. 2021, 22, 10240. [Google Scholar] [CrossRef]
  99. Offenburger, S.L.; Gartner, A. 6-hydroxydopamine (6-OHDA) Oxidative Stress Assay for Observing Dopaminergic Neuron Loss in Caenorhabditis elegans. Bio-Protocol 2018, 8, e3025. [Google Scholar] [CrossRef]
  100. Lal, R.; Singh, A.; Watts, S.; Chopra, K. Experimental models of Parkinson’s disease: Challenges and Opportunities. Eur. J. Pharmacol. 2024, 980, 176819. [Google Scholar] [CrossRef]
  101. Boos, J.; Shubbar, A.; Geldenhuys, W.J. Dual monoamine oxidase B and acetylcholine esterase inhibitors for treating movement and cognition deficits in a C. elegans model of Parkinson’s disease. Med. Chem. Res. 2021, 30, 1166–1174. [Google Scholar] [CrossRef]
  102. Offenburger, S.L.; Jongsma, E.; Gartner, A. Mutations in Caenorhabditis elegans neuroligin-like glit-1, the apoptosis pathway and the calcium chaperone crt-1 increase dopaminergic neurodegeneration after 6-OHDA treatment. PLoS Genet. 2018, 14, e1007106. [Google Scholar] [CrossRef]
  103. Offenburger, S.L.; Ho, X.Y.; Tachie-Menson, T.; Coakley, S.; Hilliard, M.A.; Gartner, A. 6-OHDA-induced dopaminergic neurodegeneration in Caenorhabditis elegans is promoted by the engulfment pathway and inhibited by the transthyretin-related protein TTR-33. PLoS Genet. 2018, 14, e1007125. [Google Scholar] [CrossRef]
  104. Hu, K.; Zhu, S.; Wu, F.; Zhang, Y.; Li, M.; Yuan, L.; Huang, W.; Zhang, Y.; Wang, J.; Ren, J.; et al. Aureusidin ameliorates 6-OHDA-induced neurotoxicity via activating Nrf2/HO-1 signaling pathway and preventing mitochondria-dependent apoptosis pathway in SH-SY5Y cells and Caenorhabditis elegans. Chem. Biol. Interact. 2024, 387, 110824. [Google Scholar] [CrossRef]
  105. Chen, Q.X.; Zhou, L.; Long, T.; Qin, D.L.; Wang, Y.L.; Ye, Y.; Zhou, X.G.; Wu, J.M.; Wu, A.G. Galangin Exhibits Neuroprotective Effects in 6-OHDA-Induced Models of Parkinson’s Disease via the Nrf2/Keap1 Pathway. Pharmaceuticals 2022, 15, 1014. [Google Scholar] [CrossRef]
  106. Ren, J.; Yuan, L.; Wang, W.; Zhang, M.; Wang, Q.; Li, S.; Zhang, L.; Hu, K. Tricetin protects against 6-OHDA-induced neurotoxicity in Parkinson’s disease model by activating Nrf2/HO-1 signaling pathway and preventing mitochondria-dependent apoptosis pathway. Toxicol. Appl. Pharmacol. 2019, 378, 114617. [Google Scholar] [CrossRef]
  107. Morton, K.S.; Hartman, J.H.; Heffernan, N.; Ryde, I.T.; Kenny-Ganzert, I.W.; Meng, L.; Sherwood, D.R.; Meyer, J.N. Chronic high-sugar diet in adulthood protects Caenorhabditis elegans from 6-OHDA-induced dopaminergic neurodegeneration. BMC Biol. 2023, 21, 252. [Google Scholar] [CrossRef]
  108. Tai, H.; Cui, L.; Shen, D.; Li, D.; Cui, B.; Fang, J. Military service and the risk of amyotrophic lateral sclerosis: A meta-analysis. J. Clin. Neurosci. 2017, 45, 337–342. [Google Scholar] [CrossRef]
  109. van Es, M.A.; Hardiman, O.; Chio, A.; Al-Chalabi, A.; Pasterkamp, R.J.; Veldink, J.H.; van den Berg, L.H. Amyotrophic lateral sclerosis. Lancet 2017, 390, 2084–2098. [Google Scholar] [CrossRef]
  110. Eck, R.J.; Stair, J.G.; Kraemer, B.C.; Liachko, N.F. Simple models to understand complex disease: 10 years of progress from Caenorhabditis elegans models of amyotrophic lateral sclerosis and frontotemporal lobar degeneration. Front. Neurosci. 2023, 17, 1300705. [Google Scholar] [CrossRef]
  111. Smukowski, S.N.; Maioli, H.; Latimer, C.S.; Bird, T.D.; Jayadev, S.; Valdmanis, P.N. Progress in Amyotrophic Lateral Sclerosis Gene Discovery: Reflecting on Classic Approaches and Leveraging Emerging Technologies. Neurol. Genet. 2022, 8, e669. [Google Scholar] [CrossRef] [PubMed]
  112. Zhou, L.; Xu, R. Invertebrate genetic models of amyotrophic lateral sclerosis. Front. Mol. Neurosci. 2024, 17, 1328578. [Google Scholar] [CrossRef]
  113. Rosen, D.R.; Siddique, T.; Patterson, D.; Figlewicz, D.A.; Sapp, P.; Hentati, A.; Donaldson, D.; Goto, J.; O’Regan, J.P.; Deng, H.X.; et al. Mutations in Cu/Zn superoxide dismutase gene are associated with familial amyotrophic lateral sclerosis. Nature 1993, 362, 59–62. [Google Scholar] [CrossRef]
  114. Bernard, E.; Pegat, A.; Svahn, J.; Bouhour, F.; Leblanc, P.; Millecamps, S.; Thobois, S.; Guissart, C.; Lumbroso, S.; Mouzat, K. Clinical and Molecular Landscape of ALS Patients with SOD1 Mutations: Novel Pathogenic Variants and Novel Phenotypes. A Single ALS Center Study. Int. J. Mol. Sci. 2020, 21, 6807. [Google Scholar] [CrossRef]
  115. Wei, Q.; Zhou, Q.; Chen, Y.; Ou, R.; Cao, B.; Xu, Y.; Yang, J.; Shang, H.F. Analysis of SOD1 mutations in a Chinese population with amyotrophic lateral sclerosis: A case-control study and literature review. Sci. Rep. 2017, 7, 44606. [Google Scholar] [CrossRef]
  116. Chen, Y.P.; Yu, S.H.; Wei, Q.Q.; Cao, B.; Gu, X.J.; Chen, X.P.; Song, W.; Zhao, B.; Wu, Y.; Sun, M.M.; et al. Role of genetics in amyotrophic lateral sclerosis: A large cohort study in Chinese mainland population. J. Med. Genet. 2022, 59, 840–849. [Google Scholar] [CrossRef] [PubMed]
  117. Yamashita, S.; Ando, Y. Genotype-phenotype relationship in hereditary amyotrophic lateral sclerosis. Transl. Neurodegener. 2015, 4, 13. [Google Scholar] [CrossRef] [PubMed]
  118. Ogawa, M.; Shidara, H.; Oka, K.; Kurosawa, M.; Nukina, N.; Furukawa, Y. Cysteine residues in Cu,Zn-superoxide dismutase are essential to toxicity in Caenorhabditis elegans model of amyotrophic lateral sclerosis. Biochem. Biophys. Res. Commun. 2015, 463, 1196–1202. [Google Scholar] [CrossRef]
  119. Oeda, T.; Shimohama, S.; Kitagawa, N.; Kohno, R.; Imura, T.; Shibasaki, H.; Ishii, N. Oxidative stress causes abnormal accumulation of familial amyotrophic lateral sclerosis-related mutant SOD1 in transgenic Caenorhabditis elegans. Hum. Mol. Genet. 2001, 10, 2013–2023. [Google Scholar] [CrossRef]
  120. Xu, H.; Jia, C.; Cheng, C.; Wu, H.; Cai, H.; Le, W. Activation of autophagy attenuates motor deficits and extends lifespan in a C. elegans model of ALS. Free. Radic. Biol. Med. 2022, 181, 52–61. [Google Scholar] [CrossRef]
  121. Boccitto, M.; Lamitina, T.; Kalb, R.G. Daf-2 signaling modifies mutant SOD1 toxicity in C. elegans. PLoS ONE 2012, 7, e33494. [Google Scholar] [CrossRef]
  122. Li, J.; Huang, K.X.; Le, W.D. Establishing a novel C. elegans model to investigate the role of autophagy in amyotrophic lateral sclerosis. Acta Pharmacol. Sin. 2013, 34, 644–650. [Google Scholar] [CrossRef] [PubMed]
  123. Nawa, M.; Kage-Nakadai, E.; Aiso, S.; Okamoto, K.; Mitani, S.; Matsuoka, M. Reduced expression of BTBD10, an Akt activator, leads to motor neuron death. Cell Death Differ. 2012, 19, 1398–1407. [Google Scholar] [CrossRef] [PubMed]
  124. Jablonski, A.M.; Lamitina, T.; Liachko, N.F.; Sabatella, M.; Lu, J.; Zhang, L.; Ostrow, L.W.; Gupta, P.; Wu, C.Y.; Doshi, S.; et al. Loss of RAD-23 Protects Against Models of Motor Neuron Disease by Enhancing Mutant Protein Clearance. J. Neurosci. 2015, 35, 14286–14306. [Google Scholar] [CrossRef] [PubMed]
  125. Neumann, M.; Sampathu, D.M.; Kwong, L.K.; Truax, A.C.; Micsenyi, M.C.; Chou, T.T.; Bruce, J.; Schuck, T.; Grossman, M.; Clark, C.M.; et al. Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 2006, 314, 130–133. [Google Scholar] [CrossRef]
  126. Arai, T.; Hasegawa, M.; Akiyama, H.; Ikeda, K.; Nonaka, T.; Mori, H.; Mann, D.; Tsuchiya, K.; Yoshida, M.; Hashizume, Y.; et al. TDP-43 is a component of ubiquitin-positive tau-negative inclusions in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Biochem. Biophys. Res. Commun. 2006, 351, 602–611. [Google Scholar] [CrossRef]
  127. Saldi, T.K.; Ash, P.E.; Wilson, G.; Gonzales, P.; Garrido-Lecca, A.; Roberts, C.M.; Dostal, V.; Gendron, T.F.; Stein, L.D.; Blumenthal, T.; et al. TDP-1, the Caenorhabditis elegans ortholog of TDP-43, limits the accumulation of double-stranded RNA. EMBO J. 2014, 33, 2947–2966. [Google Scholar] [CrossRef]
  128. Mitra, J.; Guerrero, E.N.; Hegde, P.M.; Liachko, N.F.; Wang, H.; Vasquez, V.; Gao, J.; Pandey, A.; Taylor, J.P.; Kraemer, B.C.; et al. Motor neuron disease-associated loss of nuclear TDP-43 is linked to DNA double-strand break repair defects. Proc. Natl. Acad. Sci. USA 2019, 116, 4696–4705. [Google Scholar] [CrossRef]
  129. Koopman, M.; Gungordu, L.; Seinstra, R.I.; Nollen, E.A.A. Neuronal overexpression of hTDP-43 in Caenorhabditis elegans impairs motor function. MicroPubl. Biol. 2023, 2023. [Google Scholar] [CrossRef]
  130. Liachko, N.F.; Saxton, A.D.; McMillan, P.J.; Strovas, T.J.; Keene, C.D.; Bird, T.D.; Kraemer, B.C. Genome wide analysis reveals heparan sulfate epimerase modulates TDP-43 proteinopathy. PLoS Genet. 2019, 15, e1008526. [Google Scholar] [CrossRef]
  131. Zhang, T.; Hwang, H.Y.; Hao, H.; Talbot, C., Jr.; Wang, J. Caenorhabditis elegans RNA-processing protein TDP-1 regulates protein homeostasis and life span. J. Biol. Chem. 2012, 287, 8371–8382. [Google Scholar] [CrossRef] [PubMed]
  132. Veriepe, J.; Fossouo, L.; Parker, J.A. Neurodegeneration in C. elegans models of ALS requires TIR-1/Sarm1 immune pathway activation in neurons. Nat. Commun. 2015, 6, 7319. [Google Scholar] [CrossRef] [PubMed]
  133. Aggad, D.; Veriepe, J.; Tauffenberger, A.; Parker, J.A. TDP-43 toxicity proceeds via calcium dysregulation and necrosis in aging Caenorhabditis elegans motor neurons. J. Neurosci. 2014, 34, 12093–12103. [Google Scholar] [CrossRef] [PubMed]
  134. Liachko, N.F.; McMillan, P.J.; Guthrie, C.R.; Bird, T.D.; Leverenz, J.B.; Kraemer, B.C. CDC7 inhibition blocks pathological TDP-43 phosphorylation and neurodegeneration. Ann. Neurol. 2013, 74, 39–52. [Google Scholar] [CrossRef] [PubMed]
  135. Rojas-Prats, E.; Martinez-Gonzalez, L.; Gonzalo-Consuegra, C.; Liachko, N.F.; Perez, C.; Ramirez, D.; Kraemer, B.C.; Martin-Requero, A.; Perez, D.I.; Gil, C.; et al. Targeting nuclear protein TDP-43 by cell division cycle kinase 7 inhibitors: A new therapeutic approach for amyotrophic lateral sclerosis. Eur. J. Med. Chem. 2021, 210, 112968. [Google Scholar] [CrossRef]
  136. Taylor, L.M.; McMillan, P.J.; Kraemer, B.C.; Liachko, N.F. Tau tubulin kinases in proteinopathy. FEBS J. 2019, 286, 2434–2446. [Google Scholar] [CrossRef] [PubMed]
  137. Wong, S.Q.; Pontifex, M.G.; Phelan, M.M.; Pidathala, C.; Kraemer, B.C.; Barclay, J.W.; Berry, N.G.; O’Neill, P.M.; Burgoyne, R.D.; Morgan, A. alpha-Methyl-alpha-phenylsuccinimide ameliorates neurodegeneration in a C. elegans model of TDP-43 proteinopathy. Neurobiol. Dis. 2018, 118, 40–54. [Google Scholar] [CrossRef]
  138. Sin, O.; Michels, H.; Nollen, E.A. Genetic screens in Caenorhabditis elegans models for neurodegenerative diseases. Biochim. Biophys. Acta. 2014, 1842, 1951–1959. [Google Scholar] [CrossRef]
  139. Lee, H.J.; Alirzayeva, H.; Koyuncu, S.; Rueber, A.; Noormohammadi, A.; Vilchez, D. Cold temperature extends longevity and prevents disease-related protein aggregation through PA28gamma-induced proteasomes. Nat. Aging 2023, 3, 546–566. [Google Scholar] [CrossRef]
  140. Zhang, T.; Mullane, P.C.; Periz, G.; Wang, J. TDP-43 neurotoxicity and protein aggregation modulated by heat shock factor and insulin/IGF-1 signaling. Hum. Mol. Genet. 2011, 20, 1952–1965. [Google Scholar] [CrossRef]
  141. Tseng, Y.L.; Lu, P.C.; Lee, C.C.; He, R.Y.; Huang, Y.A.; Tseng, Y.C.; Cheng, T.R.; Huang, J.J.; Fang, J.M. Degradation of neurodegenerative disease-associated TDP-43 aggregates and oligomers via a proteolysis-targeting chimera. J. Biomed. Sci. 2023, 30, 27. [Google Scholar] [CrossRef] [PubMed]
  142. Bose, P.; Tremblay, E.; Maios, C.; Narasimhan, V.; Armstrong, G.A.B.; Liao, M.; Parker, J.A.; Robitaille, R.; Wen, X.Y.; Barden, C.; et al. Correction to: The Novel Small Molecule TRVA242 Stabilizes Neuromuscular Junction Defects in Multiple Animal Models of Amyotrophic Lateral Sclerosis. Neurotherapeutics 2021, 18, 2128. [Google Scholar] [CrossRef] [PubMed]
  143. Webster, C.P.; Smith, E.F.; Bauer, C.S.; Moller, A.; Hautbergue, G.M.; Ferraiuolo, L.; Myszczynska, M.A.; Higginbottom, A.; Walsh, M.J.; Whitworth, A.J.; et al. The C9orf72 protein interacts with Rab1a and the ULK1 complex to regulate initiation of autophagy. EMBO J. 2016, 35, 1656–1676. [Google Scholar] [CrossRef] [PubMed]
  144. Webster, C.P.; Smith, E.F.; Grierson, A.J.; De Vos, K.J. C9orf72 plays a central role in Rab GTPase-dependent regulation of autophagy. Small GTPases 2018, 9, 399–408. [Google Scholar] [CrossRef]
  145. Aoki, Y.; Manzano, R.; Lee, Y.; Dafinca, R.; Aoki, M.; Douglas, A.G.L.; Varela, M.A.; Sathyaprakash, C.; Scaber, J.; Barbagallo, P.; et al. C9orf72 and RAB7L1 regulate vesicle trafficking in amyotrophic lateral sclerosis and frontotemporal dementia. Brain 2017, 140, 887–897. [Google Scholar] [CrossRef]
  146. DeJesus-Hernandez, M.; Mackenzie, I.R.; Boeve, B.F.; Boxer, A.L.; Baker, M.; Rutherford, N.J.; Nicholson, A.M.; Finch, N.A.; Flynn, H.; Adamson, J.; et al. Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron 2011, 72, 245–256. [Google Scholar] [CrossRef] [PubMed]
  147. Ratti, A.; Corrado, L.; Castellotti, B.; Del Bo, R.; Fogh, I.; Cereda, C.; Tiloca, C.; D’Ascenzo, C.; Bagarotti, A.; Pensato, V.; et al. C9ORF72 repeat expansion in a large Italian ALS cohort: Evidence of a founder effect. Neurobiol. Aging 2012, 33, 2528.e7–2528.e14. [Google Scholar] [CrossRef]
  148. Renton, A.E.; Majounie, E.; Waite, A.; Simon-Sanchez, J.; Rollinson, S.; Gibbs, J.R.; Schymick, J.C.; Laaksovirta, H.; van Swieten, J.C.; Myllykangas, L.; et al. A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD. Neuron 2011, 72, 257–268. [Google Scholar] [CrossRef]
  149. Wang, X.; Hao, L.; Saur, T.; Joyal, K.; Zhao, Y.; Zhai, D.; Li, J.; Pribadi, M.; Coppola, G.; Cohen, B.M.; et al. Forward Genetic Screen in Caenorhabditis elegans Suggests F57A10.2 and acp-4 As Suppressors of C9ORF72 Related Phenotypes. Front. Mol. Neurosci. 2016, 9, 113. [Google Scholar] [CrossRef]
  150. Corrionero, A.; Horvitz, H.R. A C9orf72 ALS/FTD Ortholog Acts in Endolysosomal Degradation and Lysosomal Homeostasis. Curr. Biol. 2018, 28, 1522–1535.e5. [Google Scholar] [CrossRef]
  151. Therrien, M.; Rouleau, G.A.; Dion, P.A.; Parker, J.A. Deletion of C9ORF72 results in motor neuron degeneration and stress sensitivity in C. elegans. PLoS ONE 2013, 8, e83450. [Google Scholar] [CrossRef] [PubMed]
  152. Ji, Y.J.; Ugolino, J.; Zhang, T.; Lu, J.; Kim, D.; Wang, J. C9orf72/ALFA-1 controls TFEB/HLH-30-dependent metabolism through dynamic regulation of Rag GTPases. PLoS Genet. 2020, 16, e1008738. [Google Scholar] [CrossRef] [PubMed]
  153. Beckers, J.; Van Damme, P. Toxic gain-of-function mechanisms in C9orf72 ALS-FTD neurons drive autophagy and lysosome dysfunction. Autophagy 2024, 20, 2102–2104. [Google Scholar] [CrossRef] [PubMed]
  154. Burberry, A.; Wells, M.F.; Limone, F.; Couto, A.; Smith, K.S.; Keaney, J.; Gillet, G.; van Gastel, N.; Wang, J.Y.; Pietilainen, O.; et al. C9orf72 suppresses systemic and neural inflammation induced by gut bacteria. Nature 2020, 582, 89–94. [Google Scholar] [CrossRef]
  155. Snoznik, C.; Medvedeva, V.; Mojsilovic-Petrovic, J.; Rudich, P.; Oosten, J.; Kalb, R.G.; Lamitina, T. The nuclear ubiquitin ligase adaptor SPOP is a conserved regulator of C9orf72 dipeptide toxicity. Proc. Natl. Acad. Sci. USA 2021, 118, e2104664118. [Google Scholar] [CrossRef] [PubMed]
  156. Sonobe, Y.; Aburas, J.; Krishnan, G.; Fleming, A.C.; Ghadge, G.; Islam, P.; Warren, E.C.; Gu, Y.; Kankel, M.W.; Brown, A.E.X.; et al. A C. elegans model of C9orf72-associated ALS/FTD uncovers a conserved role for eIF2D in RAN translation. Nat. Commun. 2021, 12, 6025. [Google Scholar] [CrossRef]
  157. Lu, J.; Periz, G.; Lu, Y.N.; Tang, Q.; Liu, Y.; Zhang, T.; Shah, Y.; Thombre, R.; Aljumaah, R.; Li, W.; et al. L3MBTL1 regulates ALS/FTD-associated proteotoxicity and quality control. Nat. Neurosci. 2019, 22, 875–886. [Google Scholar] [CrossRef]
  158. Lagier-Tourenne, C.; Cleveland, D.W. Rethinking ALS: The FUS about TDP-43. Cell 2009, 136, 1001–1004. [Google Scholar] [CrossRef] [PubMed]
  159. Schwartz, J.C.; Ebmeier, C.C.; Podell, E.R.; Heimiller, J.; Taatjes, D.J.; Cech, T.R. FUS binds the CTD of RNA polymerase II and regulates its phosphorylation at Ser2. Genes Dev. 2012, 26, 2690–2695. [Google Scholar] [CrossRef]
  160. Tan, A.Y.; Riley, T.R.; Coady, T.; Bussemaker, H.J.; Manley, J.L. TLS/FUS (translocated in liposarcoma/fused in sarcoma) regulates target gene transcription via single-stranded DNA response elements. Proc. Natl. Acad. Sci. USA 2012, 109, 6030–6035. [Google Scholar] [CrossRef]
  161. Murakami, T.; Yang, S.P.; Xie, L.; Kawano, T.; Fu, D.; Mukai, A.; Bohm, C.; Chen, F.; Robertson, J.; Suzuki, H.; et al. ALS mutations in FUS cause neuronal dysfunction and death in Caenorhabditis elegans by a dominant gain-of-function mechanism. Hum. Mol. Genet. 2012, 21, 1–9. [Google Scholar] [CrossRef] [PubMed]
  162. Kino, Y.; Washizu, C.; Aquilanti, E.; Okuno, M.; Kurosawa, M.; Yamada, M.; Doi, H.; Nukina, N. Intracellular localization and splicing regulation of FUS/TLS are variably affected by amyotrophic lateral sclerosis-linked mutations. Nucleic Acids Res. 2011, 39, 2781–2798. [Google Scholar] [CrossRef] [PubMed]
  163. Lorenzo-Betancor, O.; Ogaki, K.; Soto-Ortolaza, A.; Labbe, C.; Vilarino-Guell, C.; Rajput, A.; Rajput, A.H.; Pastor, P.; Ortega, S.; Lorenzo, E.; et al. Analysis of nuclear export sequence regions of FUS-Related RNA-binding proteins in essential tremor. PLoS ONE 2014, 9, e111989. [Google Scholar] [CrossRef] [PubMed]
  164. Tyzack, G.E.; Luisier, R.; Taha, D.M.; Neeves, J.; Modic, M.; Mitchell, J.S.; Meyer, I.; Greensmith, L.; Newcombe, J.; Ule, J.; et al. Widespread FUS mislocalization is a molecular hallmark of amyotrophic lateral sclerosis. Brain 2019, 142, 2572–2580. [Google Scholar] [CrossRef]
  165. Ishigaki, S.; Sobue, G. Importance of Functional Loss of FUS in FTLD/ALS. Front. Mol. Biosci. 2018, 5, 44. [Google Scholar] [CrossRef] [PubMed]
  166. Birsa, N.; Bentham, M.P.; Fratta, P. Cytoplasmic functions of TDP-43 and FUS and their role in ALS. Semin. Cell Dev. Biol. 2020, 99, 193–201. [Google Scholar] [CrossRef] [PubMed]
  167. Xiao, X.; Li, M.; Ye, Z.; He, X.; Wei, J.; Zha, Y. FUS gene mutation in amyotrophic lateral sclerosis: A new case report and systematic review. Amyotroph. Lateral Scler. Front. Degener. 2024, 25, 1–15. [Google Scholar] [CrossRef]
  168. Labarre, A.; Tossing, G.; Maios, C.; Doyle, J.J.; Parker, J.A. A single copy transgenic mutant FUS strain reproduces age-dependent ALS phenotypes in C. elegans. MicroPubl. Biol. 2021, 2021. [Google Scholar] [CrossRef]
  169. Therrien, M.; Dion, P.A.; Rouleau, G.A. ALS: Recent Developments from Genetics Studies. Curr. Neurol. Neurosci. Rep. 2016, 16, 59. [Google Scholar] [CrossRef]
  170. Zhang, T.; Wu, Y.C.; Mullane, P.; Ji, Y.J.; Liu, H.; He, L.; Arora, A.; Hwang, H.Y.; Alessi, A.F.; Niaki, A.G.; et al. FUS Regulates Activity of MicroRNA-Mediated Gene Silencing. Mol. Cell 2018, 69, 787–801.e8. [Google Scholar] [CrossRef]
  171. Taylor, M.; Marx, O.; Norris, A. TDP-1 and FUST-1 co-inhibit exon inclusion and control fertility together with transcriptional regulation. bioRxiv 2023, 51, 9610–9628. [Google Scholar] [CrossRef] [PubMed]
  172. Baskoylu, S.N.; Chapkis, N.; Unsal, B.; Lins, J.; Schuch, K.; Simon, J.; Hart, A.C. Disrupted autophagy and neuronal dysfunction in C. elegans knockin models of FUS amyotrophic lateral sclerosis. Cell Rep. 2022, 38, 110195. [Google Scholar] [CrossRef] [PubMed]
  173. Wong, C.H.; Rahat, A.; Chang, H.C. Fused in sarcoma regulates glutamate signaling and oxidative stress response. Free. Radic. Biol. Med. 2024, 210, 172–182. [Google Scholar] [CrossRef] [PubMed]
  174. Markert, S.M.; Skoruppa, M.; Yu, B.; Mulcahy, B.; Zhen, M.; Gao, S.; Sendtner, M.; Stigloher, C. Overexpression of an ALS-associated FUS mutation in C. elegans disrupts NMJ morphology and leads to defective neuromuscular transmission. Biol. Open 2020, 9, bio055129. [Google Scholar] [CrossRef] [PubMed]
  175. Alirzayeva, H.; Loureiro, R.; Koyuncu, S.; Hommen, F.; Nabawi, Y.; Zhang, W.H.; Dao, T.T.P.; Wehrmann, M.; Lee, H.J.; Vilchez, D. ALS-FUS mutations cause abnormal PARylation and histone H1.2 interaction, leading to pathological changes. Cell Rep. 2024, 43, 114626. [Google Scholar] [CrossRef] [PubMed]
  176. Wexler, N.S.; Collett, L.; Wexler, A.R.; Rawlins, M.D.; Tabrizi, S.J.; Douglas, I.; Smeeth, L.; Evans, S.J. Incidence of adult Huntington’s disease in the UK: A UK-based primary care study and a systematic review. BMJ Open 2016, 6, e009070. [Google Scholar] [CrossRef]
  177. Borrell-Pages, M.; Zala, D.; Humbert, S.; Saudou, F. Huntington’s disease: From huntingtin function and dysfunction to therapeutic strategies. Cell. Mol. Life Sci. 2006, 63, 2642–2660. [Google Scholar] [CrossRef]
  178. Ajitkumar, A.; De Jesus, O. Huntington Disease. In StatPearls; StatPearls: Treasure Island, FL, USA, 2024. [Google Scholar]
  179. Jiang, A.; Handley, R.R.; Lehnert, K.; Snell, R.G. From Pathogenesis to Therapeutics: A Review of 150 Years of Huntington’s Disease Research. Int. J. Mol. Sci. 2023, 24, 13021. [Google Scholar] [CrossRef]
  180. Rudich, P.; Watkins, S.; Lamitina, T. PolyQ-independent toxicity associated with novel translational products from CAG repeat expansions. PLoS ONE 2020, 15, e0227464. [Google Scholar] [CrossRef]
  181. Faber, P.W.; Alter, J.R.; MacDonald, M.E.; Hart, A.C. Polyglutamine-mediated dysfunction and apoptotic death of a Caenorhabditis elegans sensory neuron. Proc. Natl. Acad. Sci. USA 1999, 96, 179–184. [Google Scholar] [CrossRef]
  182. Koyuncu, S.; Fatima, A.; Gutierrez-Garcia, R.; Vilchez, D. Proteostasis of Huntingtin in Health and Disease. Int. J. Mol. Sci. 2017, 18, 1568. [Google Scholar] [CrossRef] [PubMed]
  183. Kim, H.; Gomez-Pastor, R. HSF1 and Its Role in Huntington’s Disease Pathology. Adv. Exp. Med. Biol. 2023, 1410, 35–95. [Google Scholar] [CrossRef] [PubMed]
  184. Sinnige, T.; Yu, A.; Morimoto, R.I. Challenging Proteostasis: Role of the Chaperone Network to Control Aggregation-Prone Proteins in Human Disease. Adv. Exp. Med. Biol. 2020, 1243, 53–68. [Google Scholar] [CrossRef] [PubMed]
  185. Jia, K.; Hart, A.C.; Levine, B. Autophagy genes protect against disease caused by polyglutamine expansion proteins in Caenorhabditis elegans. Autophagy 2007, 3, 21–25. [Google Scholar] [CrossRef] [PubMed]
  186. Farina, F.; Lambert, E.; Commeau, L.; Lejeune, F.X.; Roudier, N.; Fonte, C.; Parker, J.A.; Boddaert, J.; Verny, M.; Baulieu, E.E.; et al. The stress response factor daf-16/FOXO is required for multiple compound families to prolong the function of neurons with Huntington’s disease. Sci. Rep. 2017, 7, 4014. [Google Scholar] [CrossRef]
  187. Luthi-Carter, R.; Taylor, D.M.; Pallos, J.; Lambert, E.; Amore, A.; Parker, A.; Moffitt, H.; Smith, D.L.; Runne, H.; Gokce, O.; et al. SIRT2 inhibition achieves neuroprotection by decreasing sterol biosynthesis. Proc. Natl. Acad. Sci. USA 2010, 107, 7927–7932. [Google Scholar] [CrossRef]
  188. Duan, W. Targeting sirtuin-1 in Huntington’s disease: Rationale and current status. CNS Drugs 2013, 27, 345–352. [Google Scholar] [CrossRef]
  189. Chondrogianni, N.; Georgila, K.; Kourtis, N.; Tavernarakis, N.; Gonos, E.S. 20S proteasome activation promotes life span extension and resistance to proteotoxicity in Caenorhabditis elegans. FASEB J. 2015, 29, 611–622. [Google Scholar] [CrossRef]
  190. Koyuncu, S.; Saez, I.; Lee, H.J.; Gutierrez-Garcia, R.; Pokrzywa, W.; Fatima, A.; Hoppe, T.; Vilchez, D. The ubiquitin ligase UBR5 suppresses proteostasis collapse in pluripotent stem cells from Huntington’s disease patients. Nat. Commun. 2018, 9, 2886. [Google Scholar] [CrossRef]
  191. Vazquez-Manrique, R.P.; Farina, F.; Cambon, K.; Dolores Sequedo, M.; Parker, A.J.; Millan, J.M.; Weiss, A.; Deglon, N.; Neri, C. AMPK activation protects from neuronal dysfunction and vulnerability across nematode, cellular and mouse models of Huntington’s disease. Hum. Mol. Genet. 2016, 25, 1043–1058. [Google Scholar] [CrossRef]
  192. Hegde, R.N.; Chiki, A.; Petricca, L.; Martufi, P.; Arbez, N.; Mouchiroud, L.; Auwerx, J.; Landles, C.; Bates, G.P.; Singh-Bains, M.K.; et al. TBK1 phosphorylates mutant Huntingtin and suppresses its aggregation and toxicity in Huntington’s disease models. EMBO J. 2020, 39, e104671. [Google Scholar] [CrossRef] [PubMed]
  193. Machiela, E.; Rudich, P.D.; Traa, A.; Anglas, U.; Soo, S.K.; Senchuk, M.M.; Van Raamsdonk, J.M. Targeting Mitochondrial Network Disorganization is Protective in C. elegans Models of Huntington’s Disease. Aging Dis. 2021, 12, 1753–1772. [Google Scholar] [CrossRef] [PubMed]
  194. Traa, A.; Machiela, E.; Rudich, P.D.; Soo, S.K.; Senchuk, M.M.; Van Raamsdonk, J.M. Identification of Novel Therapeutic Targets for Polyglutamine Diseases That Target Mitochondrial Fragmentation. Int. J. Mol. Sci. 2021, 22, 13447. [Google Scholar] [CrossRef]
  195. Querfurth, H.; Lee, H.K. Mammalian/mechanistic target of rapamycin (mTOR) complexes in neurodegeneration. Mol. Neurodegener. 2021, 16, 44. [Google Scholar] [CrossRef] [PubMed]
  196. Gidalevitz, T.; Ben-Zvi, A.; Ho, K.H.; Brignull, H.R.; Morimoto, R.I. Progressive disruption of cellular protein folding in models of polyglutamine diseases. Science 2006, 311, 1471–1474. [Google Scholar] [CrossRef] [PubMed]
  197. Auluck, P.K.; Chan, H.Y.; Trojanowski, J.Q.; Lee, V.M.; Bonini, N.M. Chaperone suppression of alpha-synuclein toxicity in a Drosophila model for Parkinson’s disease. Science 2002, 295, 865–868. [Google Scholar] [CrossRef] [PubMed]
  198. Ghosh, R.; Tabrizi, S.J. Huntington disease. Handb. Clin. Neurol. 2018, 147, 255–278. [Google Scholar] [CrossRef] [PubMed]
  199. Ravikumar, B.; Vacher, C.; Berger, Z.; Davies, J.E.; Luo, S.; Oroz, L.G.; Scaravilli, F.; Easton, D.F.; Duden, R.; O’Kane, C.J.; et al. Inhibition of mTOR induces autophagy and reduces toxicity of polyglutamine expansions in fly and mouse models of Huntington disease. Nat. Genet. 2004, 36, 585–595. [Google Scholar] [CrossRef]
  200. Park, K.W.; Li, L. Cytoplasmic expression of mouse prion protein causes severe toxicity in Caenorhabditis elegans. Biochem. Biophys. Res. Commun. 2008, 372, 697–702. [Google Scholar] [CrossRef]
  201. Sandhof, C.A.; Hoppe, S.O.; Tittelmeier, J.; Nussbaum-Krammer, C. C. elegans Models to Study the Propagation of Prions and Prion-Like Proteins. Biomolecules 2020, 10, 1188. [Google Scholar] [CrossRef]
  202. Nussbaum-Krammer, C.I.; Park, K.W.; Li, L.; Melki, R.; Morimoto, R.I. Spreading of a prion domain from cell-to-cell by vesicular transport in Caenorhabditis elegans. PLoS Genet. 2013, 9, e1003351. [Google Scholar] [CrossRef] [PubMed]
  203. Lackie, R.E.; Maciejewski, A.; Ostapchenko, V.G.; Marques-Lopes, J.; Choy, W.Y.; Duennwald, M.L.; Prado, V.F.; Prado, M.A.M. The Hsp70/Hsp90 Chaperone Machinery in Neurodegenerative Diseases. Front. Neurosci. 2017, 11, 254. [Google Scholar] [CrossRef]
  204. Abdulrahman, B.A.; Tahir, W.; Doh-Ura, K.; Gilch, S.; Schatzl, H.M. Combining autophagy stimulators and cellulose ethers for therapy against prion disease. Prion 2019, 13, 185–196. [Google Scholar] [CrossRef] [PubMed]
  205. Donnelly, K.M.; Coleman, C.M.; Fuller, M.L.; Reed, V.L.; Smerina, D.; Tomlinson, D.S.; Pearce, M.M.P. Hunting for the cause: Evidence for prion-like mechanisms in Huntington’s disease. Front. Neurosci. 2022, 16, 946822. [Google Scholar] [CrossRef]
  206. Vana, K.; Zuber, C.; Pflanz, H.; Kolodziejczak, D.; Zemora, G.; Bergmann, A.K.; Weiss, S. LRP/LR as an alternative promising target in therapy of prion diseases, Alzheimer’s disease and cancer. Infect. Disord. Drug Targets 2009, 9, 69–80. [Google Scholar] [CrossRef]
Figure 1. Advantages and disadvantages of C. elegans model.
Figure 1. Advantages and disadvantages of C. elegans model.
Ijms 26 03030 g001
Figure 2. The pie chart illustrated the primary molecular targets associated with AD, PD, ALS, and HD, respectively. Red circle: positive regulation; Black circle: negative regulation; Blue font: gene deletion/downregulation/inactivation; Bold font: overexpression/activation. White background: the molecular targets that have also been supported in mammalian studies.
Figure 2. The pie chart illustrated the primary molecular targets associated with AD, PD, ALS, and HD, respectively. Red circle: positive regulation; Black circle: negative regulation; Blue font: gene deletion/downregulation/inactivation; Bold font: overexpression/activation. White background: the molecular targets that have also been supported in mammalian studies.
Ijms 26 03030 g002
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Xu, R.; Kang, Q.; Yang, X.; Yi, P.; Zhang, R. Unraveling Molecular Targets for Neurodegenerative Diseases Through Caenorhabditis elegans Models. Int. J. Mol. Sci. 2025, 26, 3030. https://doi.org/10.3390/ijms26073030

AMA Style

Xu R, Kang Q, Yang X, Yi P, Zhang R. Unraveling Molecular Targets for Neurodegenerative Diseases Through Caenorhabditis elegans Models. International Journal of Molecular Sciences. 2025; 26(7):3030. https://doi.org/10.3390/ijms26073030

Chicago/Turabian Style

Xu, Rongmei, Qiaoju Kang, Xuefei Yang, Ping Yi, and Rongying Zhang. 2025. "Unraveling Molecular Targets for Neurodegenerative Diseases Through Caenorhabditis elegans Models" International Journal of Molecular Sciences 26, no. 7: 3030. https://doi.org/10.3390/ijms26073030

APA Style

Xu, R., Kang, Q., Yang, X., Yi, P., & Zhang, R. (2025). Unraveling Molecular Targets for Neurodegenerative Diseases Through Caenorhabditis elegans Models. International Journal of Molecular Sciences, 26(7), 3030. https://doi.org/10.3390/ijms26073030

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop