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Neurotransmitter Systems in Alzheimer’s Disease -
From Molecules to Meaning: Integrating Neuropeptides, Sociostasis, and Hormesis in the Brain–Heart Axis -
Transcriptional Divergence of Conserved Starch Metabolism Genes During Grain Filling in Indica and Japonica Rice -
Different Effects of Antioxidants Against Ionizing Radiation: An Experimental Model of Micronuclei -
Anti-Biofilm Activity of Combinations of Cinnamic Acid and Its Derivatives with Cloxacillin Against Methicillin-Resistant Staphylococcus epidermidis
Journal Description
Current Issues in Molecular Biology
Current Issues in Molecular Biology
is an international, scientific, peer-reviewed, open access journal on molecular biology, published monthly online by MDPI (from Volume 43, Issue 1 - 2021).
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PMC, PubMed, Embase, CAPlus / SciFinder, FSTA, AGRIS, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.3 days after submission; acceptance to publication is undertaken in 2.8 days (median values for papers published in this journal in the second half of 2025).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names are published annually in the journal.
Impact Factor:
3.0 (2024);
5-Year Impact Factor:
3.2 (2024)
Latest Articles
Molecular Target Discovery and Systemic Mechanism Analysis of Teriflunomide for Dry Eye Disease
Curr. Issues Mol. Biol. 2026, 48(5), 492; https://doi.org/10.3390/cimb48050492 (registering DOI) - 9 May 2026
Abstract
Background: Dry eye disease (DED) is a multifactorial ocular surface disorder characterized by tear film instability, inflammation, and neurosensory abnormalities. Current therapies remain limited by slow onset and suboptimal efficacy. Teriflunomide, an immunomodulatory agent approved for multiple sclerosis, has shown therapeutic potential in
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Background: Dry eye disease (DED) is a multifactorial ocular surface disorder characterized by tear film instability, inflammation, and neurosensory abnormalities. Current therapies remain limited by slow onset and suboptimal efficacy. Teriflunomide, an immunomodulatory agent approved for multiple sclerosis, has shown therapeutic potential in DED, but its multi-target mechanisms remain unclear. Methods: We employed an integrated computational and transcriptomic framework combining ADMET profiling, multi-dataset transcriptomic integration, and single-cell RNA sequencing (scRNA-seq) to identify disease-relevant targets. Candidate genes were further refined through molecular docking and 50 ns molecular dynamics (MD) simulations. The AetherCell virtual cell model was applied to evaluate both the concordance between target perturbation and drug-induced responses and the potential mechanistic roles of candidate targets. Results: Transcriptomic integration identified 16 consensus genes across heterogeneous DED models, which were further localized to disease-relevant epithelial and immune cell populations by scRNA-seq. Molecular simulations prioritized three core targets—CTSS, STAT1, and PTGS1—based on binding stability and affinity. AetherCell simulations demonstrated that perturbation of these targets not only recapitulated teriflunomide-induced transcriptional and pathway changes but also revealed their distinct mechanistic contributions, including epithelial barrier regulation (CTSS), microvascular and lipid homeostasis (PTGS1), and inflammation suppression coupled with tissue repair (STAT1). Conclusions: Teriflunomide exerts therapeutic effects in DED through coordinated multi-target regulation involving inflammation control, barrier restoration, and tissue repair. This study provides a rationale for novel therapeutic targets in dry eye disease, establishes a paradigm for applying virtual cell modeling to elucidate drug mechanisms, and offers a bioinformatics framework for validating drug repositioning outcomes.
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(This article belongs to the Section Molecular Medicine)
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Transcriptomic Profiling Identifies Potential Prognostic Genes in Vietnamese Patients with Non-Small-Cell Lung Cancer
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Tuan Quoc Bach, Giang Thi Chau Truong, Bang Ngoc Dao, Thang Ba Ta and Thuy Thi Bich Vo
Curr. Issues Mol. Biol. 2026, 48(5), 491; https://doi.org/10.3390/cimb48050491 (registering DOI) - 9 May 2026
Abstract
Background/Objectives: Non-small-cell lung cancer (NSCLC) is one of the most common malignancies in Vietnam, yet its molecular mechanisms remain incompletely understood. This study aimed to identify prognostic genes in Vietnamese NSCLC patients using integrative transcriptomic and bioinformatics analyses. Methods: RNA-seq data from 30
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Background/Objectives: Non-small-cell lung cancer (NSCLC) is one of the most common malignancies in Vietnam, yet its molecular mechanisms remain incompletely understood. This study aimed to identify prognostic genes in Vietnamese NSCLC patients using integrative transcriptomic and bioinformatics analyses. Methods: RNA-seq data from 30 Vietnamese NSCLC patients treated at Military Hospital 103 (January 2023–April 2024) were analyzed and cross-validated with the Gene Expression Omnibus (GEO) dataset GSE140343 to identify shared differentially expressed genes (DEGs). Subsequent analyses included functional enrichment (GO and KEGG), protein–protein interaction (PPI) network construction via STRING, and module/centrality analyses to pinpoint hub genes. Finally, prognostic significance was evaluated using overall survival data from The Cancer Genome Atlas (TCGA) via the GEPIA platform. Results: A total of 1900 shared DEGs were identified, most of which were enriched in cancer-related pathways. The resulting PPI network (comprising 1528 nodes and 8185 edges) yielded eight significant modules containing 64 high-centrality candidate genes. Survival analyses demonstrated that high expression of CCNA2 and S100A12, and low expression of ADRB2, ARRB1, PTGS2, and SMAD7 were significantly associated with poor overall survival in NSCLC patients. Conclusions: These findings highlight potential biomarkers for prognosis and may inform future therapeutic strategies in Vietnamese NSCLC patients.
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(This article belongs to the Special Issue Bioinformatics in Human Disease Network Analysis)
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Cytotoxic and Antimelanoma Activity of Selected 3-Methyl-1,6-diazaphenothiazines in Human Melanoma Cells—In Vitro Studies
by
Beata Morak-Młodawska, Małgorzata Jeleń, Zuzanna Rzepka, Milena Koch and Dorota Wrześniok
Curr. Issues Mol. Biol. 2026, 48(5), 490; https://doi.org/10.3390/cimb48050490 (registering DOI) - 9 May 2026
Abstract
The cytotoxic and mechanistic effects of novel 10-substituted 3-methyl-1,6-diazaphenothiazines were investigated in human melanoma models. Antiproliferative activity was evaluated in vitro using the WST-1 assay in four melanoma cell lines (A375, C32, G361, and SK-MEL-28) and normal human dermal fibroblasts (HDF). Among the
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The cytotoxic and mechanistic effects of novel 10-substituted 3-methyl-1,6-diazaphenothiazines were investigated in human melanoma models. Antiproliferative activity was evaluated in vitro using the WST-1 assay in four melanoma cell lines (A375, C32, G361, and SK-MEL-28) and normal human dermal fibroblasts (HDF). Among the tested derivatives, compound 6 exhibited the most pronounced biological activity, showing the strongest growth inhibition in melanoma cells, with the lowest IC50 value against C32 cells (54 µM), while displaying lower toxicity toward normal fibroblasts. Mechanistic studies using image cytometry and immunofluorescence revealed that compound 6 profoundly disrupts melanoma cell homeostasis by suppressing cell proliferation, inducing DNA damage, and activating apoptotic cell death. These effects were accompanied by mitochondrial membrane depolarization, depletion of intracellular reduced thiols, and DNA fragmentation, indicating the involvement of oxidative stress and mitochondrial dysfunction in the observed cytotoxic response. Taken together, these results demonstrate that 10-substituted 1,6-diazaphenothiazines exert anti-melanoma activity through multiple biological mechanisms. We believe our study provides a basis for developing derivatives with optimized pharmacological properties.
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(This article belongs to the Section Bioorganic Chemistry and Medicinal Chemistry)
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Open AccessReview
Natural Products Targeting Acetylation in Bladder Cancer: Mechanistic Basis, Therapeutic Potential, and Future Perspectives
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Wei Li, Da Liu, Qinzhamusu Yin, Yiwen Geng, Yang Liu and Yong Wang
Curr. Issues Mol. Biol. 2026, 48(5), 489; https://doi.org/10.3390/cimb48050489 - 8 May 2026
Abstract
Bladder cancer remains a major clinical challenge because of its high recurrence rate, marked molecular heterogeneity, frequent progression, and limited durability of current therapeutic strategies. Increasing evidence indicates that acetylation, as a reversible and druggable epigenetic modification, plays a central role in bladder
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Bladder cancer remains a major clinical challenge because of its high recurrence rate, marked molecular heterogeneity, frequent progression, and limited durability of current therapeutic strategies. Increasing evidence indicates that acetylation, as a reversible and druggable epigenetic modification, plays a central role in bladder cancer biology by linking chromatin remodeling to transcriptional regulation, DNA damage repair, metabolic adaptation, and immune modulation. Both histone and non-histone acetylation are frequently dysregulated in bladder cancer, and these alterations contribute to multiple malignant phenotypes, including sustained proliferation, defective cell-cycle control, apoptosis evasion, epithelial–mesenchymal transition, metastatic progression, and therapeutic resistance. In this review, we summarize the mechanistic basis of acetylation imbalance in bladder cancer, with particular emphasis on the roles of histone acetyltransferases, histone deacetylases, sirtuins, and acetylation-associated metabolic regulators. We further discuss the emerging evidence that natural products can modulate acetylation-related pathways in bladder cancer, mainly through targeting HDAC-dependent histone deacetylation and SIRT1-associated non-histone deacetylation. Representative compounds, including sulforaphane, erucin, puerarin, capsaicin, curcumin, trichostatin A, trichostatin C, and pinocembrin, highlight the potential of natural products to suppress tumor growth, promote apoptosis, impair migration, and enhance antitumor immunity through acetylation-related mechanisms. Beyond summarizing individual agents, the evidence was evaluated based on the integration of acetylation-related target engagement, acetylation remodeling, and bladder cancer-relevant phenotypic outcomes. The current evidence is heterogeneous. SFN/ECN, capsaicin, and pinocembrin offer the most convincing bladder cancer-specific support, whereas several other compounds remain limited by context-dependent effects, indirect pathway inference, or incomplete validation of the proposed acetylation mechanisms. These findings support an evidence-oriented translational framework that prioritizes natural products according to mechanistic robustness, bladder cancer specificity, and combination potential. Overall, acetylation-targeting natural products represent a promising but still evolving therapeutic strategy for bladder cancer, warranting further subtype-specific, mechanistically rigorous, and translationally oriented investigation.
Full article
(This article belongs to the Special Issue Natural Compounds: An Adjuvant Strategy in Cancer Management, 2nd Edition)
Open AccessReview
The Potential and Prospects of Hydrogel Applications in Traumatic Brain Injury Treatment
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Cheng Zhong, Jie Li, Dengzhuo Liu, Xinran He, Zihao Fan, Xinxin Guo and Guangwei Wang
Curr. Issues Mol. Biol. 2026, 48(5), 488; https://doi.org/10.3390/cimb48050488 - 8 May 2026
Abstract
Traumatic brain injury (TBI) is a prevalent neurological disorder that induces severe neurological dysfunction and markedly reduces quality of life owing to its complex pathophysiology and limited therapeutic options. Conventional pharmacological and surgical interventions show restricted efficacy because of poor blood–brain barrier penetration
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Traumatic brain injury (TBI) is a prevalent neurological disorder that induces severe neurological dysfunction and markedly reduces quality of life owing to its complex pathophysiology and limited therapeutic options. Conventional pharmacological and surgical interventions show restricted efficacy because of poor blood–brain barrier penetration and inability to address secondary injury cascades. In recent years, hydrogels have shown significant potential for TBI repair due to their superior biocompatibility, high water content, and ability to mimic the native extracellular matrix (ECM). This review systematically examines recent advances in hydrogel applications for TBI therapy, focusing on their roles as drug delivery platforms, stem cell scaffolds, neuroregeneration promoters, inflammation modulators, and angiogenesis facilitators. Particular emphasis is placed on the therapeutic benefits and underlying mechanisms of ECM-derived hydrogels, self-assembling peptide (SAP) hydrogels, stimuli-responsive smart hydrogels, and functionalized multicomponent systems. Current challenges and limitations in hydrogel applications are also discussed, along with future research directions, to provide scientific rationale and practical guidance for precision TBI therapy.
Full article
(This article belongs to the Special Issue The Contribution and Application of Molecular Biology in the Applied Biosciences—Focusing on Medicine, Biomaterials and Tissue Engineering Fields, 3rd Edition)
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Open AccessArticle
Coix Seed Oil Ameliorates Rheumatoid Arthritis by Modulating Inflammation-Associated Metabolic Pathways
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Yong Yang, Ying Feng, Weijie Tang, Yu Meng and Xiuping Ma
Curr. Issues Mol. Biol. 2026, 48(5), 487; https://doi.org/10.3390/cimb48050487 - 8 May 2026
Abstract
Rheumatoid arthritis (RA) is a chronic disease that primarily manifests as symmetrical joint inflammation. Although Coix Seed Oil (CSO) has demonstrated anti-inflammatory effects in RA rat models, its systemic metabolic regulatory mechanisms remain unclear. Therefore, we aimed to investigate whether CSO ameliorates RA
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Rheumatoid arthritis (RA) is a chronic disease that primarily manifests as symmetrical joint inflammation. Although Coix Seed Oil (CSO) has demonstrated anti-inflammatory effects in RA rat models, its systemic metabolic regulatory mechanisms remain unclear. Therefore, we aimed to investigate whether CSO ameliorates RA by modulating inflammation-associated metabolic pathways. Ultra-High-Performance Liquid Chromatography (UHPLC)-Q Exactive HF-X-MS-based metabolomics was used to profile metabolites in the synovial tissue and serum of complete Freund’s adjuvant (CFA)-induced RA rats. Systematically altered metabolites and their associated pathways were identified using multivariate analysis and pattern recognition. CSO treatment modulated 16 RA-related biomarkers in rat synovial tissues and 12 in the serum, which mainly affected amino acids, arachidonic acids, lipids, sphingolipids, and carnitines. These metabolites were associated with eight perturbed metabolic pathways that were predominantly involved in inflammatory responses. This study demonstrated that CSO has significant anti-RA effects on pharmacodynamic activity and metabolic network regulation. Additionally, inflammation-associated metabolic pathways are closely linked to the therapeutic efficacy of CSO in RA treatment.
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(This article belongs to the Section Bioinformatics and Systems Biology)
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NEK1 Promotes Ovarian Cancer Progression via p53 Suppression While Enhancing Sensitivity to Genotoxic Therapy
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Huiyang Song, Xia Wang, Aiqing Yang, Xuejiao Ren, Xiaoqi Zhou, Yifei Qiu, Yating Cai, Chengming Gao, Gangqiao Zhou and Pengbo Cao
Curr. Issues Mol. Biol. 2026, 48(5), 486; https://doi.org/10.3390/cimb48050486 - 7 May 2026
Abstract
Ovarian cancer (OV) is a highly metastatic and recurrent malignancy with limited therapeutic options. NIMA-related kinase 1 (NEK1), a serine/threonine kinase implicated in cell cycle regulation and DNA damage response, has been associated with tumorigenesis in various cancers, yet its specific role in
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Ovarian cancer (OV) is a highly metastatic and recurrent malignancy with limited therapeutic options. NIMA-related kinase 1 (NEK1), a serine/threonine kinase implicated in cell cycle regulation and DNA damage response, has been associated with tumorigenesis in various cancers, yet its specific role in OV pathogenesis remains elusive. This study systematically investigates the oncogenic function and underlying mechanisms of NEK1 in ovarian cancer. Our findings demonstrate that NEK1 promotes tumor progression both in vitro and in vivo. Mechanistically, bioinformatic and biochemical analyses reveal that NEK1 suppresses p53 signaling activity, resulting in downregulation of downstream targets p21 and PUMA, consequently attenuating cell cycle arrest and apoptosis. Importantly, NEK1-driven oncogenicity is dependent on the presence of p53 protein. Clinically, elevated NEK1 expression significantly correlates with poorer prognosis across multiple independent OV cohorts. Paradoxically, high NEK1 expression enhances radiosensitivity by impairing p53-mediated DNA damage repair. Collectively, these findings establish NEK1 as a promising prognostic biomarker and therapeutic target, with potential utility in guiding genotoxic therapy strategies for ovarian cancer patients.
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(This article belongs to the Section Molecular Medicine)
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Open AccessArticle
MEOX1 Inhibits Growth and Metastasis of Salivary Adenoid Cystic Carcinoma
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Huaxiu Sun, Yuping Liu, Yajuan Cui, Zheng Zhou, Zhanlan Wu and Chuan-Xiang Zhou
Curr. Issues Mol. Biol. 2026, 48(5), 485; https://doi.org/10.3390/cimb48050485 - 6 May 2026
Abstract
Salivary adenoid cystic carcinoma (SACC) is a malignant salivary gland neoplasm characterized by aggressive local invasion and a marked propensity for metastasis. However, the role of MEOX1 in SACC progression remains poorly defined. In this study, we examined the effects of MEOX1 overexpression
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Salivary adenoid cystic carcinoma (SACC) is a malignant salivary gland neoplasm characterized by aggressive local invasion and a marked propensity for metastasis. However, the role of MEOX1 in SACC progression remains poorly defined. In this study, we examined the effects of MEOX1 overexpression on the malignant behavior of SACC cells in vitro and in vivo. Human SACC-83 and SACC-LM cells were transduced with lentiviral vectors encoding MEOX1 or an empty vector control, and cell proliferation, migration, invasion, and cell cycle distribution were assessed using CCK-8, wound healing, Transwell, and flow cytometric assays, respectively. RNA sequencing was performed to characterize transcriptional changes associated with MEOX1 overexpression. In vivo, tumor growth was evaluated in BALB/c nude mice bearing subcutaneous xenografts, and pulmonary metastatic colonization was assessed using a tail vein injection model. MEOX1 overexpression reduced the proliferation, migration, and invasion of SACC cells in vitro and increased the G2/M phase fraction. In xenograft models, MEOX1-overexpressing cells formed smaller tumors and showed lower Ki67 staining than control cells. In the experimental lung metastasis model, mice injected with MEOX1-overexpressing cells developed fewer pulmonary metastatic nodules. RNA-seq identified 588 differentially expressed genes associated with MEOX1 overexpression, with enrichment in pathways including cytokine–cytokine receptor interaction, Toll-like receptor signaling, and G protein-coupled receptor signaling. Together, these findings indicate that enforced MEOX1 expression is associated with reduced malignant phenotypes in SACC models and with transcriptomic alterations in pathways related to immune response, G protein-coupled receptor signaling, and DNA damage response.
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(This article belongs to the Special Issue Molecular Biology and Functional Roles of Tumor Suppressor Genes in Cancer)
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The Mechanisms of Changes in Storage Substances and Hormone Levels During Artificial Aging of Different Varieties of Perilla
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Yang Hang, Jinwei Pan, Xiang Yi, Jianqin Zhang, Feng Bin, Huilin Li, Weihong Lin, Tingting Yuan and Erru Yu
Curr. Issues Mol. Biol. 2026, 48(5), 484; https://doi.org/10.3390/cimb48050484 - 6 May 2026
Abstract
Seed aging is a key issue that affects the preservation of germplasm resources and crop production. At present, the anti-aging properties of perilla seeds and the mechanisms of differences among varieties have not been clearly reported. This study aims to analyze the mechanisms
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Seed aging is a key issue that affects the preservation of germplasm resources and crop production. At present, the anti-aging properties of perilla seeds and the mechanisms of differences among varieties have not been clearly reported. This study aims to analyze the mechanisms of changes in storage substances and hormone levels in different varieties of perilla during the artificial aging process. The results show that seed aging can significantly reduce the activity of antioxidant enzymes in perilla seeds, decrease the contents of storage nutrients such as soluble proteins, soluble sugars, and oil content, reduce the accumulation of unsaturated fatty acids such as oleic acid, linoleic acid, and linolenic acid, and significantly decrease the contents of endogenous Gibberellic acid (GA3) and Indole-3-acetic acid (IAA). Meanwhile, the levels of hydrogen peroxide (H2O2) and Malondialdehyde (MDA) increased significantly, while the contents of saturated fatty acids such as palmitic acid and stearic acid rose, and the contents of endogenous Abscisic acid (ABA), Jasmonic acid (JA), Salicylic acid (SA), and Trans-zeatin riboside (TZR) were significantly upregulated. There are significant genotype differences in the tolerance of different perilla varieties to seed aging. The sensitivity of Shiban Perill (S23014) to aging stress is significantly higher than that of Qisu No. 2 (S23017). This study has confirmed that seed aging has adverse effects on the germination of perilla seeds by down-regulating the activity of antioxidant enzymes, reducing the accumulation of storage nutrients, and disrupting the balance of endogenous hormones. The research results provide an important theoretical basis for the preservation of perilla seed germplasm resources and the selection of anti-aging varieties.
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(This article belongs to the Section Biochemistry, Molecular and Cellular Biology)
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Open AccessReview
Natural Products in Epilepsy Treatment: From Traditional Medicine Towards Computational Drug Discovery
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Muhammad Yasir, Jin-Hee Han, Jongseon Choe and Wanjoo Chun
Curr. Issues Mol. Biol. 2026, 48(5), 483; https://doi.org/10.3390/cimb48050483 - 6 May 2026
Abstract
Epilepsy affects approximately 50 million people worldwide, with nearly one-third of patients experiencing drug-resistant seizures despite available antiepileptic drugs (AEDs). Natural products remain an important source of bioactive scaffolds for drug discovery, offering diverse chemical structures capable of modulating key pathological pathways in
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Epilepsy affects approximately 50 million people worldwide, with nearly one-third of patients experiencing drug-resistant seizures despite available antiepileptic drugs (AEDs). Natural products remain an important source of bioactive scaffolds for drug discovery, offering diverse chemical structures capable of modulating key pathological pathways in epilepsy. This review examines major classes of natural compounds, including alkaloids, flavonoids, terpenoids, and phenolic compounds, and their activity against validated targets such as GABAergic and glutamatergic systems, voltage-gated ion channels, and neuroinflammatory pathways. Advances in computational drug discovery have significantly accelerated the identification and optimization of these compounds. Approaches such as virtual screening, molecular docking, molecular dynamics simulations, and machine learning models, particularly graph neural networks (GNNs), enable the efficient prediction of compound target interactions, binding stability, and pharmacokinetic properties, including blood–brain barrier (BBB) penetration and ADMET profiles. These methods support the prioritization and rational modification of natural product leads from large chemical libraries. Notable clinical approval of cannabidiol (Epidiolex) highlights the translational potential of natural product-based therapeutics. However, challenges such as limited bioavailability, pharmacokinetic constraints, and variability in natural sources continue to hinder development. This review provides an integrated perspective on natural product scaffolds, their molecular targets, and the computational strategies driving their advancement toward novel antiepileptic therapies.
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(This article belongs to the Special Issue Natural Products in Biomedicine and Pharmacotherapy, 2nd Edition)
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Open AccessArticle
Impact of a Single Hemodialysis Session on Oxidative Stress-Inducing and Oxidative Damage Biomarkers in End-Stage Kidney Disease Patients
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Athina Varemmenou, Effimia Michail, Electra Kalaitzopoulou, Polyxeni Papadea, Marianna Skipitari, Marios Papasotiriou, Evangelos Papachristou, Dimitrios Goumenos and Christos D. Georgiou
Curr. Issues Mol. Biol. 2026, 48(5), 482; https://doi.org/10.3390/cimb48050482 - 6 May 2026
Abstract
Oxidative stress (OS) is elevated in patients with end-stage kidney disease undergoing maintenance dialysis and contributes to increased cardiovascular risk. While kidney dysfunction and dialysis can generate OS, the acute effects of a single dialysis session remain unclear due to variability in study
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Oxidative stress (OS) is elevated in patients with end-stage kidney disease undergoing maintenance dialysis and contributes to increased cardiovascular risk. While kidney dysfunction and dialysis can generate OS, the acute effects of a single dialysis session remain unclear due to variability in study design and the biomarkers used. In this observational study, blood samples from 68 hemodialysis patients were collected before and after a single session. Plasma levels of the reactive oxygen species marker superoxide (O2•−) and OS-damage marker lipid hydroperoxides (LOOHs), protein-bound malondialdehyde (PrMDA), protein-bound thiobarbituric acid reactive substances (PrTBARSs), and protein carbonyls (PrCOs) were measured. LOOHs increased significantly by 50% post-dialysis, whereas PrMDA and PrTBARSs decreased modestly by ~10%. No significant changes were observed in O2•− or PrCOs. Dialysis vintage correlated positively with LOOHs, PrMDA, and PrTBARSs, but not with O2•− or PrCOs. No significant associations were found between OS markers and comorbidities, medication or sex. The post-dialysis rise in LOOHs, an early-formed and least accumulating lipid peroxidation marker, may reflect acute changes in OS during a single HD session. The rising association of PrMDA and PrTBARSs with dialysis vintage may suggest cumulative OS over time.
Full article
(This article belongs to the Special Issue Molecular Research on Free Radicals and Oxidative Stress—2nd Edition)
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Exploring Hydroxytyrosol as a Promising Virucidal Agent: In Silico and In Vitro Insights into Enveloped Viruses
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Hanan El Ouadi, Zineb Rhazzar, Barbara Poddesu, Boutaina Addoum, Laila Benbacer, Franco Lori, Siham Fellahi, Davide De Forni, Omar Nyabi, Jean-Luc Gala, Elmostafa El Fahime, Saber Boutayeb, Lahcen Belyamani, Khalid Ennibi, Ouafae Fassi Fihri and Nadia Touil
Curr. Issues Mol. Biol. 2026, 48(5), 481; https://doi.org/10.3390/cimb48050481 - 5 May 2026
Abstract
The research investigates synthetic hydroxytyrosol (HT) antiviral properties against enveloped and non-enveloped viruses using in silico and in vitro methods. Molecular docking and ADMET analyses suggested favorable interactions of HT with ceramide and sphingomyelin (binding energies of −6.0 and −5.9 kcal/mol, respectively). Favorable
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The research investigates synthetic hydroxytyrosol (HT) antiviral properties against enveloped and non-enveloped viruses using in silico and in vitro methods. Molecular docking and ADMET analyses suggested favorable interactions of HT with ceramide and sphingomyelin (binding energies of −6.0 and −5.9 kcal/mol, respectively). Favorable predicted pharmacokinetics and safety profiles were also observed. In vitro tests provided preliminary evidence of the dose- and time-dependent virucidal effect of HT against several enveloped viruses, including HSV-1, West Nile virus, SARS-CoV-2 and various influenza A subtypes, which resulted in substantial viral load decreases at 1000 µg/mL. The viral titer of the measles virus decreased by 4.62 log10 units during the 2 h of exposure. No virucidal activity was observed against the non-enveloped bovine rotavirus. Overall, these findings suggest that hydroxytyrosol may represent a promising candidate for further investigation as a virucidal agent, particularly against enveloped viruses.
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(This article belongs to the Special Issue Novel Pharmacological Strategies and Molecular Mechanisms in Nonclinical Research)
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Open AccessArticle
Comparative Whole Genome Analysis and Targeted Validation of Variants in Three Greek Indigenous Sheep Breeds
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Maria-Anna Kyrgiafini, Georgios Stamatellos, Costas Stamatis and Zissis Mamuris
Curr. Issues Mol. Biol. 2026, 48(5), 480; https://doi.org/10.3390/cimb48050480 - 5 May 2026
Abstract
Indigenous sheep breeds represent valuable reservoirs of genetic diversity shaped by long-term adaptation to local environments and management systems. Greek autochthonous sheep breeds remain underrepresented in genomic and functional studies. The objective of this study was to characterize and compare coding sequence variation
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Indigenous sheep breeds represent valuable reservoirs of genetic diversity shaped by long-term adaptation to local environments and management systems. Greek autochthonous sheep breeds remain underrepresented in genomic and functional studies. The objective of this study was to characterize and compare coding sequence variation in three indigenous Greek sheep breeds—Lesvos (LES), Serres (SER), and Thrace (THR)—and to identify shared and breed-associated functional patterns. The study was designed using a two-stage approach, comprising a discovery (exploratory) phase and a validation phase. In the discovery phase, whole genome sequencing data (one animal per breed; total n = 3; mean sequencing depth ~36.9×) were analyzed to identify protein-altering exonic variants, focusing on missense single-nucleotide polymorphisms (SNPs) and exonic insertions/deletions (indels). Variants were examined at breed-specific and comparative levels, followed by functional enrichment analyses using Gene Ontology (GO) and KEGG pathways. Normalized variant density metrics identified genes with elevated polymorphism levels. In the validation phase, a subset of prioritized missense SNPs was genotyped in an independent cohort of 54 animals (18 per breed) using MassARRAY genotyping. Genes harboring prioritized missense SNPs showed a conserved enrichment profile across breeds, dominated by genome maintenance, DNA repair, cytoskeletal organization, and core regulatory functions. Distinct breed-associated patterns were also observed. LES showed enrichment in metabolic, biosynthetic, and sensory-related processes, SER in regulatory and signaling functions, and THR in cytoskeletal, extracellular matrix, and organelle-associated pathways. Polymorphism density analyses highlighted highly variable genes across breeds, including olfactory receptor (OR) gene families, keratin-associated protein genes (KRTAPs), and loci involved in immune and regulatory functions (e.g., PRKDC, CDH15). The validation phase confirmed the expected allele frequency patterns for most prioritized SNPs, supporting the robustness of the approach. This study identifies functionally relevant coding variation across Greek indigenous sheep breeds, revealing conserved genomic patterns and breed-associated signatures linked to metabolic, structural, and regulatory processes.
Full article
(This article belongs to the Special Issue Technological Advances Around Next-Generation Sequencing Application, 2nd Edition)
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Open AccessReview
Plant Terpenoids in Cardioprotection: An Overview of Their Therapeutic Potential
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José L. Ríos-López, José Blanco-Salas, Guadalupe Cumplido-Laso and María P. Hortigón-Vinagre
Curr. Issues Mol. Biol. 2026, 48(5), 479; https://doi.org/10.3390/cimb48050479 - 5 May 2026
Abstract
Cardiovascular diseases are the leading cause of morbidity and mortality worldwide, making the search for new therapeutic strategies to prevent or mitigate cardiac damage mandatory. Essential oils, long used in traditional medicine, contain terpenoids as their most prominent constituents, and these molecules have
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Cardiovascular diseases are the leading cause of morbidity and mortality worldwide, making the search for new therapeutic strategies to prevent or mitigate cardiac damage mandatory. Essential oils, long used in traditional medicine, contain terpenoids as their most prominent constituents, and these molecules have emerged as promising cardioprotective agents. The review compiles 45 articles investigating the effects of plant-derived terpenoids on cardiovascular health. Evidence shows that their therapeutic properties rely on their antioxidant, anti-inflammatory, anti-apoptotic, anti-remodeling, antiarrhythmic, antihypertensive, anti-atherosclerotic, antidiabetic and antimicrobial actions. These effects result from the modulation of molecular pathways altered during cardiovascular diseases, resulting in oxidative stress, inflammation, cell death, fibrosis, ion channel dysregulation, alteration of lipid metabolism and glucose homeostasis. Key mechanisms of terpenes healing properties include activation of endogenous antioxidant defense—mainly via Nrf2-, inhibition of NLRP3 inflammosome-mediated pyroptosis and reduction in lipid oxidation involved in atherosclerotic plaque formation. Their therapeutic potential is reinforced by low toxicity profiles and broad botanical availability. However, challenges related to their translation to therapeutic practice remain unresolved, such as low bioavailability, limited yield and scarce results in human in vitro models. Future research should focus on nano- and micro-delivery systems, biotechnological production strategies and the use of human induced pluripotent stem cell-derived cardiomyocytes. Despite these limitations, terpenes represent valuable templates for developing more potent and clinically viable therapeutic agents. Further studies of this family are encouraged due to its promising ability to treat cardiovascular disorders.
Full article
(This article belongs to the Special Issue Therapeutic Effects of Natural Bioactive Compounds in the Management of Human Diseases: 2nd Edition)
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Open AccessArticle
A Potent Single-Domain Antibody Targeting LAG-3 for Efficient Tumor Immunotherapy
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Mengfei Dong, Wenjie Li, Tailin Wang, Ming Li, Jingyi Zhang and Xianglei Liu
Curr. Issues Mol. Biol. 2026, 48(5), 478; https://doi.org/10.3390/cimb48050478 - 4 May 2026
Abstract
Lymphocyte activation gene-3 (LAG-3) is a pivotal immune checkpoint receptor that exerts a negative regulatory effect on T-cell function. Although LAG-3-blocking antibodies have shown promising clinical potential, the inherent limitations of conventional monoclonal antibodies necessitate the development of novel antibody formats with enhanced
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Lymphocyte activation gene-3 (LAG-3) is a pivotal immune checkpoint receptor that exerts a negative regulatory effect on T-cell function. Although LAG-3-blocking antibodies have shown promising clinical potential, the inherent limitations of conventional monoclonal antibodies necessitate the development of novel antibody formats with enhanced biological and pharmacological properties. In this study, a panel of single-domain antibodies (sdAbs) targeting human LAG-3 was generated via phage display technology. Among these candidates, 2H-G7 was identified as a high-affinity sdAb that binds to LAG-3 with an equilibrium dissociation constant (KD) in the nanomolar range. Notably, 2H-G7 potently blocks the interactions of LAG-3 with both of its key ligands, fibrinogen-like protein 1 (FGL1) and major histocompatibility complex class II (MHC-II). Its capacity to restore impaired T-cell function was validated by quantifying interleukin-2 (IL-2) secretion and CD69 expression in stimulated primary human peripheral blood mononuclear cells (PBMCs). Epitope mapping studies localized the binding site of 2H-G7 to the D1D2 extracellular domains of LAG-3, distinct from relatlimab, a clinically approved LAG-3-blocking antibody serving as the benchmark. In a xenogeneic mouse model of non-small-cell lung cancer (NSCLC), 2H-G7-Fc exhibited superior tumor growth inhibition efficacy compared with relatlimab. These findings demonstrate that 2H-G7 is a promising lead candidate for the development of next-generation LAG-3-targeted tumor immunotherapies.
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(This article belongs to the Special Issue Cancer Immunology: Molecular Tools, New Therapeutic Targets, Challenges, and Opportunities)
Open AccessArticle
Cellular Origins and Context-Dependent Prognostic Effects of Lactate Metabolism Genes Reveal Novel Molecular Subtypes in Gastric Cancer
by
Xiaoxuan Pan, Xin Chen, Chunyuan Zhang, Yongtong Huan and Jieru Han
Curr. Issues Mol. Biol. 2026, 48(5), 477; https://doi.org/10.3390/cimb48050477 - 4 May 2026
Abstract
Objective: Gastric cancer (GC) exhibits profound heterogeneity, yet the contribution of lactate metabolism reprogramming to this diversity and its cellular basis remain incompletely understood. This study aimed to dissect GC heterogeneity through lactate metabolism-related genes (LMRGs), with a focus on the cellular origins
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Objective: Gastric cancer (GC) exhibits profound heterogeneity, yet the contribution of lactate metabolism reprogramming to this diversity and its cellular basis remain incompletely understood. This study aimed to dissect GC heterogeneity through lactate metabolism-related genes (LMRGs), with a focus on the cellular origins and context-specific functions of key genes. Methods: We performed consensus clustering of TCGA GC samples (n = 375) using a curated set of 49 LMRGs. A multi-step screening strategy was employed to identify hub genes. Single-cell RNA-seq data were integrated to map the cellular sources of key genes. Subtype-specific analyses of mutation, expression, and prognosis were conducted. A prognostic model was constructed, but its cross-platform generalizability was critically evaluated to explore the functional heterogeneity of its constituent genes. Results: We identified two distinct GC subtypes: G1, a glycolytic and immunosuppressive subtype associated with poor prognosis, and G2, an immune-activated subtype with better prognosis. Crucially, single-cell analysis revealed that the hub gene HK2 is enriched in NK cells and pDCs, while FABP4 exhibits a dual cellular origin, being expressed in both proliferative CD8+ T cells and fibroblasts. This dual origin provides a mechanistic basis for the gene’s context-dependent behavior: while FABP4 appeared protective in overall models, it acted as a significant risk factor within the G2 subtype (HR = 1.71, p = 0.017) and in an external validation cohort (HR = 2.64). A derived prognostic model failed external cross-platform validation, a phenomenon driven by the reversal of risk effects for FABP4 and other genes across different populations. Conclusions: This study uncovers two distinct metabolic-immune subtypes of GC and demonstrates that the prognostic effect of FABP4 is not fixed but is highly dependent on its cellular source and the tumor microenvironmental context. Our findings generate a testable hypothesis regarding FABP4’s role in balancing anti-tumor immunity and stromal promotion. More broadly, the failure of our cross-platform model serves as a cautionary tale on the limitations of single-cohort-derived signatures and underscores the necessity of integrating single-cell resolution to unravel the biological complexity underlying prognostic biomarkers.
Full article
(This article belongs to the Special Issue Omics Analysis for Personalized Medicine)
Open AccessReview
Artificial Intelligence for Spatial Immunometabolic Analysis of the Tumor Microenvironment: Current Evidence and Future Directions
by
Ismail Abdullah, Shady Saud Khan, Sariya Khan, Dana Abou, Jana Khan, Fayza Akil, Noha Farag and Abdullah Almilaibary
Curr. Issues Mol. Biol. 2026, 48(5), 476; https://doi.org/10.3390/cimb48050476 - 3 May 2026
Abstract
The tumor microenvironment [TME] is a dynamic ecosystem where spatial organization and metabolic reprogramming play a crucial role in immune response, tumor progression, and therapeutic response. Recent breakthroughs in spatial transcriptomics, metabolomics, and multiplexed imaging studies have shown that complex immunometabolic niches are
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The tumor microenvironment [TME] is a dynamic ecosystem where spatial organization and metabolic reprogramming play a crucial role in immune response, tumor progression, and therapeutic response. Recent breakthroughs in spatial transcriptomics, metabolomics, and multiplexed imaging studies have shown that complex immunometabolic niches are involved in therapeutic resistance, including conventional and immunotherapeutic approaches. Artificial intelligence [AI] technology has been recognized as a revolutionary concept that allows the integration of complex data, thereby facilitating the scalable extraction of spatial, molecular, and cellular features from routine histopathology and multi-omics platforms. This review of the current evidence on AI-based spatial immunometabolic studies of the tumor microenvironment aims to provide a comprehensive overview of the current evidence, including AI-based spatial immunometabolic studies of the tumor mi-croenvironment, with special reference to digital pathology, spatial transcriptomics, and multimodal data fusion. The current challenges, including data heterogeneity, model interpretability, generalizability, and biological validation, will be discussed. The emerging trends in AI-based spatial immunometabolism, including multimodal foundation models, federated learning, and spatially resolved target discovery, will be discussed. AI-based spatial immunometabolism will be a cornerstone in precision oncology, with the potential to improve patient stratification, therapeutic approaches, and clinical translation.
Full article
(This article belongs to the Special Issue Tumor Immunology: From Molecular Mechanisms to Treatment)
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Open AccessArticle
A Synthetic Lethality-Informed Multi-Omic Framework for Identifying a Five-Gene Diagnostic Signature in Chronic Obstructive Pulmonary Disease
by
Yue Yang, Zengrui Wang, Xiaorong Su, Jiefu Tang, Zhi Zhang, Xinli Fan, Haitao Xu, Lihan Wang and Zhuang Luo
Curr. Issues Mol. Biol. 2026, 48(5), 475; https://doi.org/10.3390/cimb48050475 - 2 May 2026
Abstract
Chronic obstructive pulmonary disease (COPD) lacks reliable molecular biomarkers for early diagnosis and risk stratification beyond conventional spirometry-based assessment. Synthetic lethality (SL)-related gene prioritization provides a biologically informed framework for identifying disease-associated candidate biomarkers in COPD. In this study, we integrated public transcriptomic
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Chronic obstructive pulmonary disease (COPD) lacks reliable molecular biomarkers for early diagnosis and risk stratification beyond conventional spirometry-based assessment. Synthetic lethality (SL)-related gene prioritization provides a biologically informed framework for identifying disease-associated candidate biomarkers in COPD. In this study, we integrated public transcriptomic datasets, SL-related gene sets, and machine learning approaches to identify a diagnostic signature for COPD. Using GSE47460 as the training cohort (220 COPD and 108 controls) and GSE57148 as the external validation cohort (98 COPD and 91 controls), we identified 74 SL-related differentially expressed genes enriched in inflammatory signaling and extracellular matrix organization. LASSO regression and random forest analysis yielded a five-gene diagnostic signature consisting of CYP1B1, VEGFA, RET, FGG, and S100A9. The integrated nomogram showed good diagnostic performance in the validation cohort, with an AUC of 0.8311 (95% CI: 0.7839–0.8783), outperforming individual genes and supporting its potential use as an adjunctive molecular tool for COPD diagnosis and risk assessment. Single-cell RNA sequencing, immune infiltration analysis, and preliminary in vitro experiments further supported the biological relevance of the identified genes. Overall, this study supports SL-related gene prioritization combined with multi-omic integration as a useful strategy for COPD biomarker discovery while generating testable hypotheses regarding disease-associated vulnerability pathways.
Full article
(This article belongs to the Special Issue Omics Analysis for Personalized Medicine)
Open AccessReview
Molecular Mechanisms of Plant Stress Tolerance: From Stress Perception to Phytohormonal Crosstalk and Transcriptional Regulation
by
Sajid Ali and Yong-Sun Moon
Curr. Issues Mol. Biol. 2026, 48(5), 474; https://doi.org/10.3390/cimb48050474 - 2 May 2026
Abstract
In recent years, plant stress biology has moved beyond single-pathway descriptions toward an integrated framework in which stress perception, hormonal control, and gene regulation are tightly interconnected. Early events such as membrane-associated sensing, calcium influx, reactive oxygen species (ROS) generation, and kinase activation
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In recent years, plant stress biology has moved beyond single-pathway descriptions toward an integrated framework in which stress perception, hormonal control, and gene regulation are tightly interconnected. Early events such as membrane-associated sensing, calcium influx, reactive oxygen species (ROS) generation, and kinase activation converge with phytohormonal networks to shape context-dependent responses. Within this framework, abscisic acid, salicylic acid, jasmonates, ethylene, auxin, cytokinins, gibberellins, brassinosteroids, and strigolactones function not as isolated regulators but as components of a dynamic signaling matrix that balances survival, defense, growth restraint, and recovery. These hormonal signals are ultimately translated into adaptive outcomes through extensive transcriptional and post-transcriptional reprogramming mediated by transcription factors, RNA-based regulators, chromatin remodeling, and stress memory mechanisms. This review synthesizes current understanding of how plants integrate stress perception, phytohormonal crosstalk, and transcriptional regulation to establish stress tolerance. We first examine the molecular basis of stress sensing and early signaling. We then discuss the central functions of major phytohormones and the logic of hormone–hormone interaction networks in coordinating stress adaptation. Next, we analyze transcriptional, post-transcriptional, and epigenetic mechanisms that determine response specificity, intensity, and persistence. We further highlight points of convergence between abiotic and biotic stress responses and discuss how combined stresses challenge traditional single-stress models. Finally, we consider the roles of omics, systems biology, and translational technologies in decoding and engineering stress-resilient phenotypes. By integrating these perspectives, this review presents plant stress tolerance as a multilevel systems property and outlines key priorities for future research aimed at developing climate-resilient crops.
Full article
(This article belongs to the Special Issue Molecular Mechanisms in Plant Stress Tolerance, 2nd Edition)
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Open AccessArticle
mTOR Inhibition Drives Mutation-Specific Remodeling of Lysosomal and Autophagic Pathways and GCase Activity in PBMC-Derived Macrophages from Patients with GBA1-Associated Parkinson’s Disease
by
Anastasia Bezrukova, Katerina Basharova, Anton Emelyanov, Anna Lavrinova, Anna Krapova, Ekaterina Galkina, Ekaterina Skudarnova, Galina Baydakova, Irina Miliukhina, Ekaterina Zakharova, Sofya Pchelina and Tatiana Usenko
Curr. Issues Mol. Biol. 2026, 48(5), 473; https://doi.org/10.3390/cimb48050473 - 1 May 2026
Abstract
To date, we and others have demonstrated that GBA1-associated Parkinson’s disease (GBA1-PD) exhibits hyperactivation of mTOR and impairment of mTOR-regulated autophagy. Our previous study showed that the degree of autophagy impairment depends on the type of GBA1 mutation in peripheral blood mononuclear cell
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To date, we and others have demonstrated that GBA1-associated Parkinson’s disease (GBA1-PD) exhibits hyperactivation of mTOR and impairment of mTOR-regulated autophagy. Our previous study showed that the degree of autophagy impairment depends on the type of GBA1 mutation in peripheral blood mononuclear cell (PBMC)-derived macrophages. Moreover, the type of GBA1 mutation (“mild”—e.g., p.N370S or “severe”—e.g., p.L444P) correlates with PD severity and may influence therapeutic response. Here, we investigated the dose-dependent effects of GCase inhibition by conduritol β-epoxide (CBE) in SH-SY5Y cells on mTOR signaling, as well as the effects of mTOR inhibition by Torin 1 on mTOR-dependent autophagy-related proteins, lysosomal morphology, and lysosomal hydrolase activities in PBMC-derived macrophages from PD patients carrying GBA1-L444P or GBA1-N370S mutations. CBE induced dose-dependent activation of mTOR signaling in SH-SY5Y, as evidenced by dose-dependent accumulation of p-RPS6 (Ser235/236). mTOR inhibition decreased Beclin-1 protein levels while increasing the LC3B-II/LC3B-I ratio, LC3B–lysosome colocalization, and lysosome number regardless of mutation type in PBMC-derived macrophages. However, Torin1 reduced p62 levels in GBA1-N370S-PD, whereas lysosomal size decreased in GBA1-L444P-PD. Interestingly, Torin 1 increased GCase activity in both patient groups. These findings suggest that mTOR inhibition restores GCase function and autophagy and may represent a potential therapeutic strategy for GBA1-PD.
Full article
(This article belongs to the Special Issue Autophagy Dysfunction in Neurodegenerative Disease)
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