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PubMed2026

Mechanisms of impact of mental health peer support in high-, middle- and low-income settings: mediation analysis of the UPSIDES randomised controlled trial.

AIMS: While there is growing evidence for the effectiveness of peer support (PS) in improving psychosocial outcomes among individuals with severe mental health conditions, the mechanisms through which these effects occur remain insufficiently understood. This study examines whether social inclusion, hope and empowerment mediate the relationship between PS, personal recovery and health and social functioning. METHODS: Data were collected from 565 adults with severe mental health conditions who participated in the multicentre UPSIDES randomised controlled trial across six sites in Germany, Uganda, Tanzania, India and Israel. Participants in the intervention group received structured PS from trained peer workers over a 6- to 8-month period. Standardised, self-report measures of social inclusion, hope, empowerment and personal recovery, as well as clinician-rated health and social functioning, were administered at baseline, 4&#xa0;months, end of intervention (8&#xa0;months) and 12-month follow-up. Cross-lagged panel modelling was used to explore longitudinal associations and mediating pathways. RESULTS: The cross-lagged models showed strong autoregressive effects across all variables, indicating high temporal stability. There were no significant direct effects of PS on recovery or health and social functioning. However, mediation analysis identified significant indirect effects of PS on personal recovery via social inclusion (&#x3b2;&#xa0;=&#xa0;0.114, 95% confidence interval [CI] [0.049, 0.194], P&#xa0;<&#xa0;0.05) and hope (&#x3b2;&#xa0;=&#xa0;0.037, 95% CI [0.001, 0.086], P&#xa0;<&#xa0;0.05). Similar indirect effects were observed for health and social functioning (via social inclusion: &#x3b2;&#xa0;=&#xa0;-0.035, 95% CI [-0.064,&#xa0;-0.013]; via hope: &#x3b2;&#xa0;=&#xa0;-0.026, 95% CI [-0.052, -0.006]; both P&#xa0;<&#xa0;0.05). CONCLUSIONS: Findings suggest that PS affects recovery-related outcomes primarily through intermediate mechanisms of enhanced hope and social inclusion. These results support theoretical models positing indirect pathways of change in PS interventions and highlight the value of targeting social and psychological domains when designing and implementing PS in mental health services. Individuals with lower baseline levels of hope and social inclusion may particularly benefit from PS.

Humans↗
PubMed2026

Highly Conserved Allelic Substitutions S202F, L244P, and H248P/R/Y in FsSdhB and A83 V in FsSdhC1 Trigger Gradual Resistance to Pydiflumetofen in Fusarium solani.

Pydiflumetofen (Pyd), one of the new-generation SDHIs, has been applied to control various diseases in economic crops. Fusarium solani, a soil-borne pathogen with a broad host range, is the agent of quinoa basal-stem rot (QBSR). In this study, three PydLR (4.64 < RF < 9.31), six PydMR (51.24 < RF < 86.91), and seven PydHR mutants (RF > 6000) were generated by Pyd-taming. Most F. solani PydR mutants showed no fitness penalties. The sequence alignment of FsSdh genes revealed that substitutions S202F, L244P, and H248P/R/Y in FsSdhB, or A83 V in FsSdhC1, caused Pyd resistance. Notably, the mutation S202F causing HR was first reported. Molecular docking demonstrated that these aforementioned mutations significantly reduced affinity between Pyd and the Qp-binding pocket. These results provide pivotal data for the resistance management strategies of F. solani and advance our understanding of the resistance mechanisms of SDHIs.

Fusarium↗
PubMed2026

Evolution and Expression Divergence of Legume PAL Genes Suggest Associations with Drought Response and Root Nodule Development.

Comparative genomic analyses provide insight into the mechanisms underlying gene-family evolution and crop adaptation. Here, we used the legume phenylalanine ammonia-lyase (PAL) gene family as a model and integrated pan-genomic, phylogenetic, molecular evolutionary, duplication-mode, and transcriptomic analyses, while developing GFtool for gene family identification. Across 45 genomes, we identified 302 PAL genes and classified them into five Groups. Groups 1-3 represented ancient lineages shared with outgroups, whereas Groups 4 and 5 were legume-specific. Molecular-clock analyses placed the divergence of Group 2 near the Paleocene-Eocene transition, while Groups 4 and 5 diversified from the middle Eocene to the early Oligocene. WGD/segmental duplication broadly contributed to PAL copy-number expansion, whereas tandem duplication was enriched in Group 5 of Papilionoideae. Group 2 genes showed drought-induced expression, whereas Group 5 genes were associated with early root nodule development. GFtool provides a scalable framework for gene-family studies.

Fabaceae↗
PubMed2026

Structural Characterization and Engineering of a GH134 &#x3b2;-Mannanase from Aspergillus nidulans for Enhancement of Activity and Stability.

Mannans are abundant plant hemicelluloses, and endo-&#x3b2;-mannanases are important biocatalysts for their conversion into functional manno-oligosaccharides. Here, we report the structural and functional characterization of a glycoside hydrolase family 134 &#x3b2;-mannanase from Aspergillus nidulans (AnGH134) and a structure-guided engineering strategy to improve its performance on locust bean gum. The 1.75 &#xc5; crystal structure reveals the conserved lysozyme-like fold of GH134 enzymes and supports an inverting catalytic mechanism with Glu43 and Asp55 as the putative catalytic residues. Docking, mutational, and molecular dynamics analyses indicate that AnGH134 uses an extended substrate-binding groove and that groove-exit residues and the C-terminal region contribute to productive catalysis. Guided by these findings, N-terminal fusion of CBM10 enhanced catalytic efficiency and thermal stability, whereas C-terminal fusion was detrimental. These results provide a framework for engineering GH134 mannanases.

Aspergillus nidulans↗
PubMed2026

Identification of a Novel Thermal Promoter and Its Application in Glutamate Decarboxylase Protein Expression in Bacillus licheniformis.

As a thermotolerant bacterium, Bacillus licheniformis is an attractive chassis for high-temperature biomanufacturing. Here, we identified a novel temperature-responsive promoter, PycgM, which maintained strong transcriptional activity at 37-52 &#xb0;C. In a promoter-mCherry reporter system, PycgM exhibited 2287.3-fold higher activity than P2 at 52 &#xb0;C, demonstrating excellent compatibility with a thermotolerant host. Truncation analysis identified a 150-bp core functional region responsible for optimal activity under induction and heat stress. When applied to drive glutamate decarboxylase expression at 50 &#xb0;C, PycgM enabled &#x3b3;-aminobutyric acid production of 391.67 g/L with a 98.69% conversion rate, representing a 275% increase over 37 &#xb0;C fermentation. The whole-cell biocatalyst retained 86% activity after five reuse cycles, and SEM analysis indicated acceptable structural stability despite moderate morphological changes. These results demonstrate that PycgM is a robust, high-temperature genetic element for efficient enzyme and metabolite production in thermotolerant hosts.

Bacillus licheniformis↗
PubMed2026

Integrating GWAS and Transcriptome Analysis Identifies Candidate Genes for Kernel Starch Quality Traits in Maize.

Maize (Zea mays L.) starch quality is a complex trait with significant implications for grain processing and industrial applications. However, the genetic basis underlying starch quality, particularly for gelatinization and thermodynamic properties, remains poorly understood. In this study, we evaluated 12 starch quality traits, including seven gelatinization characteristics, four thermodynamic traits, and kernel starch content (KSC) in a diverse panel of 335 maize inbred lines. Considerable phenotypic variation was observed for all traits. A total of 228 quantitative trait loci (QTLs) were significantly associated with 12 starch quality traits through genome-wide association studies (GWAS). By integrating a dynamic transcriptome analysis of two maize inbred lines with contrasting starch quality, we identified 60 candidate genes. One gene, waxy1, encoding a starch synthase, was found to be associated with enthalpy of gelatinization (&#x394;Hgel) and pasting temperature (Ptemp). Six variants in waxy1 contributed to natural variation in &#x394;Hgel and Ptemp, and a cost-effective InDel and two PARMS-based molecular markers were developed and validated in 144 maize inbred lines, enabling efficient marker-assisted selection. Our findings provide key genes and molecular markers for high-quality maize breeding with improved starch properties.

Zea mays↗
PubMed2026

Metagenomic Insights into Microbial Assembly and Key Metabolic Genes Driving Flavor Formation in Spontaneously Fermented Zhejiang Rosy Vinegar.

The spontaneous fermentation of Zhejiang rosy vinegar (ZRV) is driven by environmental microbiota, but the processes underlying its flavor formation remain poorly understood. Using metagenomic sequencing, we investigated microbial community assembly, environmental drivers, and metabolic networks during industrial-scale ZRV fermentation. Acetic acid dominated the final organic acids. Community assembly shifted toward deterministic selection with rising acidity, with a slight rebound of stochastic processes in the late stage (R2 values of 0.442 and 0.346 for bacteria and fungi, respectively). Mantel tests confirmed that environmental factors significantly regulated microbial assembly. Co-occurrence networks grew more complex, with positive interactions accounting for 85.24% (bacteria) and 90.10% (fungi) in the late stage. Key genes (ldh, gapA, pgk) from Acetobacter pasteurianus and Lactobacillus acetotolerans dominated late-stage fermentation, while genes (adhP, SDH) from Aspergillus oryzae and Saccharomyces cerevisiae supported early- and mid-stage fermentation. These findings elucidate microbiota-driven metabolic pathways in ZRV, supporting the fermentation window optimization and industrial vinegar quality standardization.

Acetic Acid↗
PubMed2026

Enrichment Performance Assessment of Extracellular Vesicles Using Different Functionalized Magnetic Materials and Application in Urinary Proteomics of Prostate Cancer.

Extracellular vesicles (EVs) are lipid bilayer nanovesicles that mediate intercellular communication and hold significant potential for clinical applications. Although material-based isolation strategies offer promising alternatives to conventional methods, their relative performances have not been systematically evaluated. In this study, we conducted a comparative assessment of magnetic nanomaterials with distinct surface functionalities, including metal oxides (TiO2), metal-organic frameworks (UiO-66), biopolymeric materials (chitosan), and lipid probes (DSPE-PEG, DOPE-PEG, and CLS-PEG). A comprehensive evaluation across multiple dimensions including capture capacity, capture rate, sample volume, and product purity reveals that the bifunctional magnetic nanomaterial Fe3O4@UiO-66@DSPE material exhibits superior EV capture performance. This material enables the efficient and stable enrichment of high-purity EVs by synergizing Zr4+-phosphate coordination with lipid bilayer anchoring, and preserves EV biological integrity and activity. Meanwhile, this method could be highly compatible with proteomics, and over 1000 proteins are identified by proteomic analysis of urinary EVs, while 34 proteins are upregulated and 25 proteins are downregulated in prostate cancer patients relative to healthy donors. Notably, the differentially expressed proteins, such as AGT, ITIH4, and PGLYRP2, are associated with disease progression. Overall, this work highlights the superior performance of the Fe3O4@UiO-66@DSPE material for efficient and selective EV isolation. It provides a powerful tool for clinical liquid biopsy and proteomic biomarker discovery, enabling early diagnosis, prognostic evaluation, and precision therapy.

Humans↗
PubMed2026

Solvent Leveling Explains Supercharging in Electrospray Ionization Mass Spectrometry.

Supplementing standard electrospray ionization (ESI) solvents with specific low-volatility organic compounds (e.g., sulfolane or any positional isomer of nitrobenzyl alcohol) increases biomolecular analyte charge for mass spectrometry in the phenomenon known as supercharging. Controversial mechanisms responsible for increasing charge are considered, and the data is found to correlate highly to solvent leveling; i.e., protonated solvent is the strongest acid in a solution because any stronger acid simply dissociates to protonate more solvent. Hence, the recipe for increasing charge in positive ion mode is to make the protonated solvent into a stronger acid (equivalent to reducing the neutral solvent's basicity). That change is accomplished by adding involatile, weak bases to the solvent. A secondary effect of weak base additives is to suppress the solution-phase ionization of weak acid residues; e.g., reducing opposite charging. Here the abilities of analogous compounds to increase or decrease charging in positive ion mode ESI are predicted from experimentally measured basicities. Consistently, amides, nitriles, and pyrazoles more basic than water reduced the average charge of protein analytes electrosprayed from denaturing solutions, while analogues less basic than water increased the average charge, establishing the veracity of solvent leveling as a supercharging mechanism. In other words, reducing the charge departing on solvent leaves more charge for the protein analyte.

Journal Article↗
PubMed2026

Total Synthesis and Structural Revision of Rhabdobranin Reveals a Cryptic Gram-Negative Antibiotic.

Gram-negative bacteria present a major clinical challenge but also remain an underexplored source of antibacterial natural products. Resistance-guided genome mining of the entomopathogenic symbiont Xenorhabdus identified the rdb biosynthetic gene cluster, which encodes a putative prodrug antibiotic, pre-rhabdobranin. However, the inability to isolate the proposed active metabolite, rhabdobranin, has prevented direct functional evaluation. Here we report a convergent total synthesis of the proposed structure of pre-rhabdobranin B, which revealed a stereochemical misassignment at the N-terminal arginine residue. Synthesis of both rhabdobranin epimers showed that, although they are nearly indistinguishable by standard analytical methods, inversion at this single stereocenter has a pronounced effect on antibacterial activity. Biological evaluation of the revised rhabdobranin structure revealed potent antibacterial activity against Gram-negative pathogens, including WHO critical-priority carbapenem-resistant Klebsiella pneumoniae. Cellular and biochemical profiling implicated inhibition of protein biosynthesis as its principal antibacterial mechanism. We further show that the GNAT-family acetyltransferase RdbK N-acetylates rhabdobranin, attenuating its activity and establishing a secondary self-resistance mechanism. These findings validate resistance-gene-guided discovery in Gram-negative symbionts as a strategy for uncovering cryptic antibiotics and identify rhabdobranin as a promising scaffold for Gram-negative antibiotic development.

Anti-Bacterial Agents↗
PubMed2026

Canalesolide A, a Structurally Unique Polyhydroxy Macrolide from the Marine Cyanobacterium Okeania sp. with Potent Antitrypanosomal Activity.

The discovery of structurally novel natural products remains central to expanding biologically relevant chemical space, particularly within underexplored marine metabolite classes. Herein, we report the discovery and complete structural elucidation of canalesolide A, a new polyhydroxylated macrolide isolated from the marine cyanobacterium Okeania sp. The compound was identified through an integrated workflow combining phenotypic screening against Trypanosoma brucei and LC-MS/MS-based molecular networking, enabling rapid prioritization of bioactive fractions and dereplication of known metabolite families. Spectroscopic analysis revealed that canalesolide A belongs to the bastimolide-related class of macrolides but exhibits a distinct structural architecture. Its structure was established by integrating ultrahigh-resolution NMR spectroscopy, empirical configurational analysis of polyol systems, targeted model compound synthesis, and controlled chemical degradation and derivatization. This combined strategy resolved stereochemical motifs that were inaccessible by direct analysis of the intact macrolide alone, providing a transferable approach for assigning densely oxygenated marine macrolides. Genome mining identified the putative biosynthetic gene cluster and proposed biosynthetic pathway for a bastimolide-related macrolide. Canalesolide A displays potent, low nanomolar antitrypanosomal activity against human-infective subspecies of T. brucei with rapid elimination of parasites within 1 h at 1 &#x3bc;M. Although moderate mammalian cytotoxicity was observed, preliminary in vivo efficacy/toxicity studies in infected mice suggest a narrow therapeutic window highlighting the need for improved selectivity. This study expands the structural and biosynthetic diversity of polyhydroxylated macrolides and establishes a generalizable framework for resolving stereochemically complex natural products.

Macrolides↗
PubMed2026

Cytochrome P450- and Dehydrogenase-Mediated Regiospecific and Stereoselective Formation of &#x3b2;- and &#x3b3;-Lactones in Drimane-Type Sesquiterpenoid Biosynthesis.

Lactone-containing natural products are important candidates for drug discovery. Drimane-type sesquiterpenes (DTSs), characterized by a bicyclic trans-decalin scaffold, can bear both &#x3b2;- and &#x3b3;-lactone moieties. While &#x3b3;-lactone-containing DTSs have frequently been reported, &#x3b2;-lactone-containing derivatives are rare, and their biosynthesis remains unexplored. Here, we identified a biosynthetic gene cluster (dri) in Aspergillus ustus and confirmed ustidrimane A (1), a &#x3b2;- and &#x3b3;-lactone-containing DTS, as its product. Heterologous gene expression, precursor feeding, and enzymatic investigation provided evidence for the formation of both lactone rings. In both cases, the reaction cascade is initiated by regiospecific (and stereoselective) methyl hydroxylation, followed by regiospecific and stereoselective oxidation of one hydroxymethyl group to an aldehyde. The resulting hemiacetal was proven to be subsequently oxidized to a lactone. The &#x3b2;-lactone formation is catalyzed by two cytochrome P450 enzymes (DriE and DriF), followed by two oxidation steps catalyzed by two dehydrogenases (DriG and DriH). These findings differ entirely from the known &#x3b2;-lactone formation in fatty acid-, PKS-, and NRPS-derived metabolites. The subsequent &#x3b3;-lactone formation is catalyzed by a P450 (DriJ) and a dehydrogenase (DriD). DriJ has been shown to be involved in both methyl hydroxylation and hemiacetal formation, while DriD is responsible for the hemiacetal oxidation and also contributes moderately to its formation. Collectively, these findings establish a sequential P450/dehydrogenase-mediated oxidative cascade for the construction of two distinct lactone motifs within a single DTS scaffold. Moreover, they provide the first insight into the &#x3b2;-lactone formation in terpenes, thus unveiling a new strategy for the construction of this structural motif.

Lactones↗
PubMed2026

Osteoporosis genetic risk prediction using bone mineral density polygenic scores in Japanese: TMM CommCohort study.

Osteoporosis and fractures are major health concerns. We developed and validated a polygenic score (PGS) for quantitative ultrasound (QUS)-defined osteoporosis risk in Japanese individuals using heel QUS-derived T-scores. Genome-wide association study summary statistics from up to 10,794 participants in the Tohoku Medical Megabank Community-Based Cohort identified genome-wide significant loci, including MBL2, TMEM135, and WNT16. PGS models were constructed and evaluated using independent datasets for model selection (n&#x2009;=&#x2009;1419) and validation (n&#x2009;=&#x2009;8711). Adding the PGS to age and sex yielded only modest improvements in discrimination, whereas PGS quintiles supported genetic risk stratification. Compared with the intermediate group, individuals in the lowest PGS quintile had higher odds of the outcome (1.22, 95% confidence interval [CI]: 1.07-1.40), whereas those in the highest quintile had lower odds (0.85, 95% CI: 0.74-0.98). During prospective follow-up (mean 3.5 years), a similar gradient was observed, with higher incidence rate ratios in the lowest quintile (1.42, 95% CI: 1.17-1.73) and lower incidence rate ratios in the highest quintile (0.70, 95% CI: 0.54-0.89). No statistically significant interaction between age and PGS was observed, and age-T-score regression analyses showed no differences in age-related T-score decline across genetic risk groups. However, analyses in young adults (20-44 years) and extrapolation to age 20 suggested lower bone status around peak bone mass in individuals at high genetic risk for QUS-defined osteoporosis. These findings suggest that a Japanese-specific PGS may help identify individuals at elevated genetic risk earlier in adulthood.

Journal Article↗
PubMed2026

Recurrent mechanisms of biallelic epigenetic inactivation reveal new putative tumour suppressor genes in prostate cancer.

The inactivation of tumour suppressor genes is a key step in cancer development, and is usually achieved by homozygous loss. In prostate cancer, however, large genomic regions are often hemizygously lost, which complicates the identification of putative tumour suppressors in these regions. Here, we develop Epi2Hit, an integrative computational method that leverages whole genome sequencing, epigenomic profiling and gene expression to identify biallelic inactivation of tumour suppressor genes involving DNA methylation of promoter and enhancer regions of one allele and genomic loss of the other allele. We apply Epi2Hit to a cohort of 2,021 prostate cancers to discover tumour suppressor genes. In particular, we identify epigenetic biallelic inactivation of ZFHX3 at a recurrence level similar to TP53. Biallelic inactivation of ZFHX3, a transcriptional repressor, leads to upregulation of oncogenes, including MYC and a shorter time to metastasis. Finally, we provide evidence that epigenetic silencing as 2nd hit is particularly enriched in regions with nearby essential genes, precluding homozygous loss.

Prostatic Neoplasms↗
PubMed2026

The periphery of nuclear speckles defines a spatially and temporally regulated compartment of long-lived intron-retained RNAs that resolves during mitosis.

RNA localization adds a fundamental layer to gene expression by determining when and where translation-ready mRNAs become available, yet how this timing is coordinated with nuclear architecture and cell-cycle progression remains unclear. Here we identify a subnuclear RNA niche at the nuclear speckle periphery that couples intron retention to cell-cycle-timed RNA release. Using compartment-resolved transcriptional inhibition, sequence-based deep learning and single-molecule and super-resolution RNA imaging in human pluripotent stem cells, we define a class of nuclear RNAs with long-lived retained introns that persist for hours and are enriched in transcripts encoding regulators of genome maintenance and mitosis, including centromere and kinetochore assembly, DNA repair and telomere maintenance. Long-lived retained introns exhibit elevated GC content, predicted structural stability and enrichment for nuclear speckle-associated RNA-binding proteins. In interphase, these RNAs localize to a distinct nuclear speckle-peripheral RNA niche in a spatial arrangement conserved across cell types. During mitotic remodelling, they undergo coordinated, kinase-dependent splicing and are released into the cytoplasm of early G1 daughter cells. Together, these findings link cis-encoded intronic features, subnuclear organization and mitotic remodelling to temporal control of RNA fate.

Mitosis↗
PubMed2026

A guide to understanding tumour evolution through the lens of population genetics.

Every cancer carries the history of its own evolution, hidden in its genome. Modern DNA&#xa0;sequencing can catalogue millions of mutations and profile tumours across space and time, but sequencing alone struggles to answer the questions that matter most: when did key adaptations emerge, how strongly were they selected, why do some tumours relapse whereas others do not, and&#xa0;how will the cancer evolve next? The reason is fundamental: sequencing&#xa0;is a snapshot, whereas evolution is a dynamic process. Bridging this gap requires moving beyond descriptive cancer genomics towards quantitative evolutionary inference. In this Review, we argue that population genetics provides the mathematical framework needed to extract evolutionary dynamics from cancer genomes. We show how models of mutation, selection and drift transform allele frequencies from descriptive measurements into quantitative estimates of clonal fitness and evolutionary timings. We discuss how these principles extend to epigenetic inheritance, plasticity and ecological interactions within the tumour ecosystem, and examine the assumptions and limitations for their application to modern sequencing data. By reframing cancer genomes as quantitative records of evolutionary processes rather than catalogues of mutations, researchers have used population genetics to provide a foundation for understanding - and ultimately predicting - the trajectories of cancer evolution.

Journal Article↗