Applied Biosciences

Salinization of agricultural soils is a global problem causing crop yield declines. This impact is caused by osmotic and oxidative stress, which plants often rely on endophytic bacteria to overcome. A bacterial isolate from the roots of the halophyte Plantago salsa was studied between 2024 and 2026, and its ability to increase barley tolerance to moderate salt stress was determined. Based on 16S rRNA gene sequencing (1410 bp), the isolate PS-50.1 was identified as Providencia sp. It demonstrated key plant growth-promoting properties, including indole-3-acetic acid production (21.4 mg L⁻¹) and phosphate solubilization (69.0 mg L⁻¹). The strain supported barley growth at 7% NaCl. Inoculation of barley seeds with this strain (10⁸ CFU L⁻¹) significantly reduced moderate salt stress in plants both in vitro and in a pot experiment. Inoculated plants under salinity conditions had greater shoot length (+11.6%) compared to non-inoculated; higher pre-flag leaf fresh weight; demonstrated decreased levels of prooxidants (H₂O₂ by 44.8% and malondialdehyde by 31.8%), higher proline accumulation (up to 2.0-fold), and increased antioxidant enzyme activity (catalase by 26.6% and ascorbate peroxidase by 191%). Furthermore, inoculated plants showed 9.4% higher water use efficiency and photosynthetic rate (+5.5%) under salt stress compared to uninoculated plants. These results indicate that the halophytic strain Providencia sp. PS-50.1 is a promising candidate for the development of microbial preparations aimed at increasing crop productivity under saline conditions. Full article

This study evaluated the aroma and antioxidant properties of single-origin chocolate produced from cocoa beans sourced from seven regions in Indonesia. Two roasting approaches—dynamic and static—were applied, followed by small-scale chocolate processing using a melanger. Both raw cocoa beans and resulting chocolates were comprehensively characterised to examine relationships between raw material quality and final product attributes. The results show that the cocoa beans exhibited significant regional variation in physicochemical properties, including moisture, protein, pH, phenolic and flavonoid contents, antioxidant activity, and the fermentation index. These differences were reflected in the chocolates, which showed distinct appearance, aroma profiles, and antioxidant capacities. Roasting methods significantly influenced moisture content, colour, and antioxidant properties, with static roasting yielding chocolates with higher moisture, greater antioxidant retention, and lighter colour compared to dynamic roasting. Gas chromatography–mass spectrometry (GC–MS) analysis identified key volatile compounds such as acetic acid, 2-phenylethyl acetate, phenylethyl alcohol, acetoin, and pyranone as dominant contributors to aroma. Regional origin and processing conditions play critical roles in defining the quality of a single-origin chocolate. The knowledge obtained in this study can support the chocolate industry by enabling raw material selection, optimising roasting strategies, and standardising processes to achieve targeted quality attributes. Full article

Identifying the nectar sources of stingless bees is essential for understanding plant–pollinator interactions and for promoting sustainable meliponiculture. Traditionally, this has been achieved through melissopalynological analysis of honey; however, this approach has certain limitations. Here, we aimed to evaluate whether pollen analysis of bee crop nectar can reliably identify nectar sources for stingless bees. We conducted palynological analyses of honey samples (n = 12) and crop nectar samples (n = 757, considering individual foragers), and conducted field surveys to determine nectar sources for the stingless bee Tetragonula pagdeni in West Bengal, India. From the honey analysis, 42 pollen types were identified, with Eucalyptus tereticornis as the predominant pollen type. In contrast, 67 pollen types were recorded from the crop nectar samples. The most frequently occurring pollen types were Acacia auriculiformis, Borassus flabellifer, Eucalyptus tereticornis, Peltophorum pterocarpum, Tridax procumbens, and Ziziphus mauritiana. Through field surveys, 73 plant species were identified as nectar sources. By integrating these methods, 85 plant species were recognised as nectar sources for stingless bees. The findings indicate that palynological analysis of bees’ crop nectar is an effective method for identifying the nectar sources of a bee species. Furthermore, combining palynological analysis of crop nectar with melissopalynological analysis of honey provides a more comprehensive and potentially more accurate assessment of nectar sources than reliance on honey analysis alone. Full article

Background: Cytokine storm-like inflammation includes an imbalanced immune response, where excessive interleukin-6 (IL-6) and inadequate IL-10 play a central role in increasing tissue injury. Melaleuca cajuputi leaves are known to contain anti-inflammatory bioactive compounds. However, the potential to modulate the dysregulated cytokine response remains underexplored. Objective: This study aimed to evaluate the immunomodulatory effects of Melaleuca cajuputi subsp. cajuputi Powell Ethanolic Leaf Extract (MC-ELE) on IL-6, IL-6R, and IL-10 levels in a BALB/c mouse model of lung inflammation induced by lipopolysaccharide (LPS). Methods: Phytochemical screening was performed to identify active constituents in MC-ELE. Male BALB/c mice were intratracheally challenged with LPS (mg·kg⁻¹ BW) to induce cytokine storm-like inflammation. After 24 h, mice received oral MC-ELE at doses of 750, 1500, 3000 mg·kg⁻¹ BW, or dexamethasone (10 mg·kg⁻¹ BW), for seven consecutive days. On day eight, serum and bronchoalveolar lavage fluid (BALF) were collected for IL-6, IL-6R, and IL-10 assessment using ELISA. Furthermore, body weight changes and clinical symptoms were monitored throughout the study. Results: MC-ELE was confirmed to contain anti-inflammatory compounds. Across all groups, IL-6 concentrations in BALF were consistently higher than in serum, with the LPS-only group showing the greatest elevation. Serum IL-6R levels exceeded BALF IL-6R levels in most groups, except at 1500 mg·kg⁻¹ BW MC-ELE dose. BALF IL-10 was higher compared with serum in all MC-ELE-treated groups. Therefore, MC-ELE might preferentially enhance anti-inflammatory responses within the pulmonary microenvironment. There was no observed toxicity or weight loss at doses up to 3000 mg·kg⁻¹ BW. Conclusions: MC-ELE reported promising immunomodulatory activity by lowering IL-6 and IL-6R levels while enhancing IL-10 responses in lung inflammation induced by LPS within lung tissue. These results suggested its potential as a natural therapeutic candidate for managing severe inflammatory conditions. Full article

Low levels of high-density lipoprotein cholesterol (HDL-C) are strongly associated with increased cardiovascular risk. However, under various pathological conditions, high-density lipoprotein (HDL) particles may undergo structural and functional modifications, leading to a progressive loss of antioxidant capacity and a shift from a cardioprotective to a proatherogenic phenotype. In this cross-sectional study, we investigated differences in HDL particle distribution and antioxidant function between individuals with elevated lipoprotein(a) [Lp(a)] levels (≥30 mg/dL) and those with low Lp(a) levels (<10 mg/dL). Serum low-density lipoprotein (LDL) and HDL subfractions were analyzed in twenty subjects with high Lp(a) and ten low-Lp(a) controls using non-denaturing polyacrylamide gel electrophoresis (PAGE, Lipoprint system). Enzymatic activities of paraoxonase-1 (PON1) and HDL-associated lipoprotein-associated phospholipase A₂ (HDL-Lp-PLA₂) were measured. Electrophoretic analysis revealed a significant increase in small HDL (S-HDL) in the high-Lp(a) group compared to the controls (34.1 ± 13.2% vs. 21.5 ± 2.7%, p = 0.01), alongside a reduction in large HDL (L-HDL) (19.6 ± 9.9% vs. 33.4 ± 3.8%, p < 0.001). Furthermore, the high Lp(a) group exhibited significantly lower HDL-PON1 activity (55 ± 12 vs. 67 ± 7 U/mL, p < 0.001) and HDL-Lp-PLA₂ activity (2.6 ± 1.0 vs. 3.6 ± 1.2 nmol/min/mL, p < 0.02) compared with the controls. These findings suggest that markedly elevated Lp(a) levels are associated with a shift toward a more proatherogenic HDL subfraction profile and impaired antioxidant functionality, which may reflect mechanisms linked to increased atherosclerotic cardiovascular disease (ASCVD) risk. Full article

Glyphosate-based herbicides are widely used in agriculture. However, their broader effects on plant lipid metabolism remain insufficiently characterized beyond their canonical target, the shikimate pathway. In this study, we evaluated tissue-specific lipidomic responses of carrot (Daucus carota L.) plants grown under controlled conditions following sublethal foliar exposure to a commercial glyphosate-based herbicide formulation. Leaves, leaf stalks, and roots were harvested 30 days after application, and lipid extracts were analyzed using ultra-high-performance liquid chromatography coupled to mass spectrometry. Multivariate statistical analyses were applied to assess treatment-related differences. Morphological parameters showed no major visible symptoms, although minor changes in shoot architecture were observed. Untargeted lipidomic profiling revealed treatment-associated, tissue-specific alterations in lipid composition. In leaves, changes were detected in free fatty acids, tocopherols, and galactolipids, whereas leaf stalks and storage roots showed alterations mainly affecting phospholipid and glycerolipid classes. In summary, lipid profiles indicated shifts in the relative abundance of membrane- and storage-related lipid species. These results suggest that sublethal exposure to a glyphosate-based herbicide formulation may be associated with measurable lipidomic differences in carrot tissues, highlighting the sensitivity of untargeted lipidomic profiling for detecting metabolic responses to agrochemical exposure. Full article

This study presents an exploratory reinforcement learning (RL)-based simulation framework for examining antimicrobial resistance (AMR) dynamics under repeated exposure to a non-antibiotic stressor, using copper as a simplified model compound. The objective is not to provide mechanistic or predictive insight into microbial evolution, but to evaluate how alternative sequential decision-making strategies perform within a constrained and transparent simulation environment. Three agent strategies were compared: random action selection, a rule-based heuristic, and a tabular Q-learning agent. Simulations were conducted over fixed 40-cycle episodes in which agents adjusted copper exposure in response to evolving resistance-related state variables. Across experimental runs, the Q-learning agent exhibited lower cumulative resistance burden, measured by area under the curve (AUC) of minimum inhibitory concentration (MIC) trajectories for chloramphenicol and polymyxin B, while maintaining lower cumulative copper exposure relative to baseline strategies. The rule-based agent demonstrated intermediate performance, whereas the random agent showed greater variability and less stable trajectories. These findings reflect differences in simulated control behavior within a simplified stochastic system. Overall, this work introduces an interpretable reinforcement learning simulation tool intended to support comparative evaluation of adaptive versus static strategies in antimicrobial pressure management under limited observability. Full article

Molecular diagnosis has advanced rapidly in neurogenetic disorders, yet translating genotype into patient-specific predictions of brain network dysfunction and progression remains limited. Virtual brain models provide a structured solution by embedding individual anatomy and connectomics into biophysical whole-brain simulations. The critical step is to position genetics not as a diagnostic label, but as a constructive input to model design. This review outlines a genetics-centered framework for virtual brain modeling. First, atlas-derived transcriptomic and cell-type maps can define region-specific molecular priors, constraining vulnerability or excitability parameters and reducing model degeneracy. Second, when reproducible genotype-linked network phenotypes exist, mutation groups can inform stratified initialization and progression regimes. Third, at the patient level, exome and CNV data—summarized as pathway burdens and, where appropriate, calibrated polygenic modifiers—can be translated into individualized priors or regularizers, provided that mapping rules are explicit and externally validated. By integrating genetics at multiple levels of evidence, virtual brain models gain mechanistic plausibility, improved calibration, and explicit uncertainty quantification. The most realistic impact over the next few years is likely to be improved stratification, progression-aware forecasting, and scenario-based decision support in rare neurogenetic diseases, especially where longitudinal cohort infrastructure and validated biomarker inputs are already available, rather than deterministic individual prediction. Full article

Cervical cancer is associated with persistent human papillomavirus (HPV) infections. The early detection of HPV is one of the key strategies for the effective treatment of cervical cancer. Current HPV molecular detection methods use enzyme-based nucleic acid amplification strategies that, although specific and sensitive, involve extensive workflows. Enzyme-free isothermal amplification detection strategies with the potential to adapt to low-resource settings for HPV oncogenic transcripts remain limited. This study aimed to validate a fluorescence-based branched hybridization chain reaction (bHCR) assay for the targeted detection of HPV 16/35 E6 oncogenic transcripts. Analytical performance was evaluated using a synthetic target and a negative clinical matrix, whereas the diagnostic performance of the bHCR assay was evaluated using clinically characterized samples (n = 67). The study demonstrated assay linearity over an analyte concentration range of 0.625–40 µM, with a statistically significant correlation between the fluorescence signal and target concentration (r² = 0.928, p < 0.0001). Analytical accuracy was assessed by pre-extraction spike recovery; achieved recoveries ranged from 70% to 86%, indicating potential RNA loss during the assay workflow. Analytical sensitivity determined the background signal threshold limit of blank (LoB) as 16,251.6 RFU, with detection and quantification at concentrations of 0.0625 µM (≈2.6 × 10¹¹ copies per reaction, limit of detection (LoD) and 0.125 µM (≈5.3 × 10¹¹ copies per reaction, limit of quantification (LoQ). The assay exhibited high diagnostic performance, with a diagnostic cut-off of 16,481 RFU and an area under the curve (AUC) of 0.9194. Specificity and sensitivity of the assay were 94% and 86%, respectively, with a Negative Predictive Value (NPV) of 85% and a Positive Predictive Value (PPV) of 94%. These findings demonstrate a reliable analytical assay with excellent diagnostic discrimination and warrant further optimization and expanded clinical validation. Full article

Efficient reproductive management is essential for optimizing productivity and sustainability in sheep and goat production systems. Estrus synchronization (ES) has emerged as a pivotal tool for coordinating mating, enhancing fertility, facilitating artificial insemination (AI), and supporting out-of-season breeding. Hormonal protocols, including progesterone devices, prostaglandins, and gonadotropin or gonadoliberine treatments, provide the highest precision in estrus and ovulation timing, with estrus response rates exceeding 90% and conception rates commonly between 65–85%. These methods are particularly effective in intensive or AI-based systems but are constrained by cost, labor, regulatory restrictions, and welfare considerations. Non-hormonal strategies, such as the ram effect, photoperiod manipulation, nutritional flushing, and management-based interventions, exploit natural physiological, socio sexual, and nutritional cues to partially synchronize estrus. While these approaches exhibit greater variability and lower precision than hormonal methods, they offer advantages in low input, organic, and extensive systems by improving reproductive clustering, ovulation, and lambing compactness. Among these, the ram effect is the most effective and widely applicable. Integrated reproductive management, combining hormonal or non-hormonal strategies with optimized nutrition, health, and flock management, is critical for achieving predictable and sustainable reproductive outcomes. Future research should focus on refining hormone-sparing protocols and enhancing the reliability of natural synchronization methods. Full article

Artificial intelligence has evolved to generative AI (GenAI), a paradigm shift that has shifted the emphasis away from the evaluation of existing patterns to the generation of novel biological and medical material. This study examines GenAI achievements in biosciences and medical fields the last five years in these fields using databases such as PubMed and Scopus. The paper highlights the recent evolution in biomedical research from virtual screening to de novo design. It illustrates how models like RFdiffusion and ProteinMPNN leverage “inverse folding” to assemble novel of proteins and drugs. Ultimately, these generative methods yield candidate with enhanced binding affinity and structural stability. For example, exploratory studies suggest GenAI has the potential to address inefficiencies via automatic documentation in the therapeutic sector, and it may enhance research capabilities by using Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to generate synthetic clinical trial data that preserves confidentiality. In addition, the review argues that though GenAI democratizes medical education through scalable simulations, it raises questions about long-term knowledge retention. Finally, GenAI also offers a transformative “write” capability for biology, but its responsible application will require addressing model “hallucinations” and building Explainable AI (XAI) and robust ethical frameworks. Full article

This study compared the quality and bioactive composition of cloudy apple juices produced from four traditional and four conventional apple cultivars immediately after harvest and following cold storage of the fruit at 4 °C for three and six months. Apples were harvested at the ripening stage at the same criteria, stored as whole fruit, and processed into cloudy juice after harvest, three, and six months of storage. Physicochemical parameters and sugar composition were determined, while phenolic compounds were quantified by HPLC-PDA. Antioxidant activity, total phenolic, and flavonoid content were measured spectrophotometrically. All analyses were performed in technical triplicate. The results revealed notable differences between traditional and conventional cultivars. Juices produced from traditional apple cultivars exhibited significantly higher total polyphenol and flavonoid contents than those from conventional cultivars. Significant variations in catechin, myricetin, quercetin, and epigallocatechin levels were also observed among cultivars. The traditional apple cultivar ‘Mašanka’ showed higher concentrations of quercetin (0.09 ± 0.01 µg/mL), chlorogenic acid (486.58 ± 5.48 µg/mL), catechin (8.76 ± 0.54 µg/mL), epicatechin (20.22 ± 0.20 µg/mL), and phloridzin (13.48 ± 0.19 µg/mL) compared to the other cultivars. In contrast, conventional cultivars showed higher concentrations of myricetin and procyanidin B1. Moreover, the content of TA, sucrose, and glucose decreased, whereas pH, fructose, TSS (except for ‘Fuji’ and ‘Granny Smith’) increased. The TFC decreased in traditional apple cultivars, while it increased in conventional cultivars; however, the TFC in conventional cultivars remained lower than in traditional ones. Overall, these findings demonstrate that the cold storage of apples significantly affects juice composition and highlight the advantages of traditional apple cultivars for producing juices with enhanced phenolic content and antioxidant activity. Full article

Brucellosis poses a persistent threat to livestock health in high-altitude pastoral regions of China, where harsh environments and semi-nomadic grazing increase transmission risk. Existing surveillance systems rely mainly on periodic serological testing and lack effective early warning capability. This study proposes an ensemble learning-based early warning framework integrating veterinary epidemiological indicators with environmental and herd-movement data. A total of 4826 herd-level records collected over five years (2019–2024) were analyzed, with an overall positivity rate of 11.4%. Multi-source data, including serological, clinical, reproductive, vaccination, meteorological, pasture-management, and herd-movement information (from GPS tracking and structured surveys), were integrated through epidemiology-guided feature engineering. To address class imbalance and temporal dynamics, Synthetic Minority Over-sampling Technique (SMOTE) resampling and sliding time-window features were applied. The proposed ensemble model combines Random Forest, XGBoost, and LightGBM using a soft-voting strategy, with logistic regression as a baseline. Results show that the ensemble model outperforms single models, achieving an AUC of 0.86 and a PR-AUC of 0.65. After threshold optimization, sensitivity increased from 0.78 to 0.87. Under field conditions, the system provided herd-level early warnings with an average lead time of approximately 12 days before confirmed outbreaks, demonstrating its feasibility and practical value for proactive brucellosis surveillance in high-altitude pastoral systems. Full article

Castrate-resistant prostate cancer (PCa) is a critical situation in which many patients will relapse. Hormonal androgen deprivation therapy (HADT) is the gold standard of care when a patient relapses, following primary surgical or radiation therapy. Usually, the benefits from HADT are poor and recurrent disease after HADT treatment is termed castrate-resistant prostate cancer (CRPC), which is in most cases fatal. The therapeutic regimens for CRPC include chemotherapy with docetaxel, immunotherapy agent sipuleucel-T, the taxane cabazitaxel, the CYP17 inhibitor abiraterone acetate and the androgen receptor (AR) antagonist enzalutamide. Thus, it is imperative to study the inherent property of prostate cancer cells, to resist therapy and reconsider the therapeutic protocols (continuous v’s intermittent). We make use of a hybrid mathematical model which consists of an extension of a very potent ordinary differential equation (ODE) Baez–Kuang model, combined with two Game Theory components: the Minority Game for adaptive behavior and the Axelrod model for heterogeneity behavior. Our study suggests that increasing tumor adaptability, through Minority Game dynamics, improves short-term prostatic-specific antigen (PSA) control and stabilizes therapy cycles. However, this comes at the cost of driving the tumor to a homogeneous, androgen-independent (AI) state, which is therapy-resistant. Conversely, maintaining heterogeneity, via Axelrod dynamics, sustains a mixed population, with androgen-dependent (AD) cells persisting longer and potentially delaying resistance emergence. Full article

Whey is a major by-product of the dairy industry and represents a valuable source of proteins that can be enzymatically converted into bioactive peptides with diverse health-related functions. In recent years, increasing attention has been given to whey-derived peptides due to their antioxidant, antihypertensive, antimicrobial, anti-inflammatory, antithrombotic, immunomodulatory, and anticancer activities, highlighting their potential use as functional ingredients and nutraceutical compounds. The generation and biological functionality of these peptides are strongly influenced by the protein source, processing conditions, enzymatic or microbial hydrolysis strategies, and peptide structure. Unlike the existing literature, this review provides an analysis of individual peptide sequences, meticulously linking their specific chemical structures to their diverse biological activities, such as antioxidants, antihypertensive, and immunomodulatory effects. By moving beyond general protein hydrolysis, this work offers a unique comparative framework that evaluates how these distinct peptide fractions perform under industrial conditions. Furthermore, it bridges the gap between laboratory discovery and commercial implementation, focusing on critical parameters for large-scale production, stability in functional food matrices, and the regulatory pathways required for market-ready nutraceuticals. This integrated approach provides a strategic roadmap for translating molecular bioactivity into high-value industrial applications. This review provides an applied overview of recent advances in the production of whey bioactive peptides, emphasizing enzymatic generation methods, structure–activity relationships, and underlying mechanisms of action associated with their biological effects. In addition, current and emerging applications of whey-derived peptides in functional foods, nutraceuticals, and health-oriented formulations are critically discussed. Finally, key challenges related to peptide stability, bioavailability, industrial scalability, and regulatory aspects are addressed to identify future perspectives for the effective translation of whey bioactive peptides from research to practical applications. Full article

Phytate (myo-inositol hexakisphosphate) is a polyphosphate found in plant-based foods whose intestinal absorption mechanisms are insufficiently understood. Due to its high affinity for calcium, phytate can deplete extracellular calcium and potentially affect tight junction integrity, which could increase paracellular permeability. This study investigated the permeation of phytate across Caco-2 cell monolayers depending on calcium concentration. Differentiated Caco-2 cells were cultured on semi-permeable membranes and incubated with various phytate concentrations (0.17–1.66 mM) in media with low (2.1 µM) or normal (1.8 mM) calcium concentration. Phytate permeability and tight junction integrity were analyzed using HPLC and Lucifer yellow as a paracellular marker. At low calcium concentration, significant permeability was observed starting from 0.55 mM phytate (~60% at 1.66 mM), while at normal calcium concentration, significant permeability was only detectable at 1.66 mM. The increased Lucifer yellow permeation correlated with phytate permeation and confirmed tight junction disruption. Phytate that reached the basolateral side at physiological calcium concentration precipitated completely as insoluble calcium–phytate complex. These results demonstrate that phytate can pass intestinal epithelium via the paracellular pathway and increase the paracellular permeability, especially at low apical concentrations of calcium. Full article

Two spectrin-sensitive relaxations have been reported in the RBC plasma membrane: β_s (1.4 MHz, related to the interface β-relaxation) and γ1_s (9 MHz, rotation alignment of spectrin-bound dipoles by penetrating electric field). Here, a third (α_s) relaxation type is reported within the frequency region of surface (α) relaxation. With low-ion-strength outside media, the adsorption of blood plasma immunoglobulins on RBCs was found to inhibit β_s and γ1_s relaxations, while α_s relaxation was enforced with strong inflammation. The three relaxations are represented by three consecutive segments on the Cole′s plots: Δε_rd″.ω against Δε_r′ and Δε_rd″/ω against Δε_r′. Here, ω is the frequency of the field and Δε_r* = Δε_r′ + j.Δε_rd″ is the change in the relative complex dielectric permittivity of RBC suspension at the denaturation temperature of spectrin. The β_s segment in Δε_rd″.ω against the Δε_r′ plot could be regarded as a vector (complex number) whose projection on the vertical axis (the irreversible loss in energy) could express the ability of the plasma membrane to deform (under the impact of shear stress). Full article

The food industry has a strong interest in lactic acid bacteria (LAB) because of their probiotic potential and health advantages. LAB have been previously isolated from pulque and agave sap, showing antibacterial action. However, their reaction to stress can limit their survivability, and their biological activities are strain-specific. To ascertain the impact of LAB isolated from pulque and agave sap on lifespan, thermal and oxidative stress, and health span parameters, we fed the nematode Caenorhabditis elegans these bacteria. The nematodes fed the Escherichia coli OP50 strain were utilized as a control for each experiment. Animals were fed each strain for four days starting from L4 and either (day 5) exposed to oxidative stress caused by high hydrogen peroxide concentrations (8 mM) or acute heat stress (35 °C) for four hours. The strains Lacticaseibacillus rhamnosus and Lactiplantibacillus plantarum significantly improved lifespan, fertility, movement, and heat shock resistance. Lacticaseibacillus casei enhanced the C. elegans lifespan, and Levilactobacillus brevis only increased its survivability in the heat shock studies. Interestingly, we discovered a harmful impact on animals fed Pediococcus acidilactici. This study highlights that, even when strains come from the same plant source, their biological activity might differ significantly. Full article

Bidirectional communication between the oocyte and surrounding follicular cells coordinates follicle growth, meiotic maturation, and the acquisition of competence. We aimed to identify genes related to follicular crosstalk and the secretory pathway as candidate mediators of cumulus–oocyte complex (COC) crosstalk in cattle. Expressed sequence tags (ESTs) from bovine COCs were retrieved from databases and screened for genes related to secretion and the secretory pathway using SignalP and SecretomeP, and transmembrane proteins were removed, yielding 13 candidate genes. Candidate expression was examined in two GEO RNA-seq datasets to assess enrichment in oocytes versus cumulus cells. RT–qPCR profiling across tissues and reproductive cell types enabled principal component analysis and correlation/network analysis, visualized as heatmaps and Cytoscape, revealing an INBHA-SERPINE2-SDF2L1 co-expression pattern. INHBA and SERPINE2 protein products are secreted, whereas SDF2L1 protein is a secretory pathway-associated, endoplasmic reticulum-resident chaperone. Promoter sequences of INHBA, SERPINE2, and SDF2L1 were scanned with FIMO using JASPAR motifs, identifying shared SMAD-associated motifs and FSH/cAMP-related motif families. The data support a co-regulation model in which endocrine FSH/cAMP and activin/TGF-β–SMAD inputs converge on a shared transcriptional program consistent with a putative INHBA–SERPINE2–SDF2L1 co-regulated module, linking cumulus extracellular matrix remodeling/protease control with oocyte ER protein folding capacity during COC maturation. Full article