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PubMed2026

Evolutionary Conservation and Reproductive Expression of ABC Transporter Genes in Two Sphenomorphus Skinks.

ATP-binding cassette (ABC) transporters represent one of the largest membrane protein superfamilies in vertebrates, playing essential roles in translocating diverse substrates across membranes. However, knowledge of ABC transporter genes in reptiles remains limited. In this study, we conducted a comprehensive genome-wide identification and characterization of the ABC gene family in oviparous Sphenomorphus incognitus and viviparous Sphenomorphus indicus. A total of 45 ABC genes were identified in each species and classified into seven subfamilies (ABCA-ABCG). Comparative and phylogenetic analyses revealed a generally conserved gene repertoire, with limited duplication events observed mainly in the ABCA and ABCG subfamilies, whereas other subfamilies (e.g., ABCE, ABCF, and ABCD) remained highly conserved. Interestingly, a lineage-specific duplication of ABCC2 was identified in lizards. Oviductal expression profiling revealed distinct temporal patterns of ABC gene expression across reproductive stages. Several genes, including ABCG1, ABCC3, and ABCD4, exhibited conserved expression trajectories across both species, suggesting shared transcriptional regulation. In contrast, ABCA1, ABCB1, and ABCG2 showed species-specific expression patterns, indicating regulatory divergence between the two lizard species. Overall, ABC gene expression was more dynamic in S. incognitus than in S. indicus. In summary, although the ABC transporter family is structurally conserved, it exhibits lineage-specific evolutionary changes and divergent transcriptional regulation in lizard oviducts. This study provides a foundation for understanding the diversity and regulation of ABC transporter genes in reptiles.

Animals↗

PubMed2026

Genome-wide identification and characterization of ABC transporters and their expression in response to saline-alkaline stress and WSSV infection in Fenneropenaeus chinensis.

ATP-binding cassette (ABC) transporters play crucial roles in stress responses across organisms, yet their functions in Fenneropenaeus chinensis remain largely unknown. In this study, we identified 42 FcABC genes (FcABCs) in the F. chinensis genome and analyzed their phylogenetic relationships, gene structures, and chromosomal distributions. Phylogenetic analysis grouped the FcABCs into eight subfamilies (ABCA-ABCH), with conserved motif and domain compositions within each subfamily. Expression analysis showed that several FcABC genes, including FcABCG5, FcABCA1, and FcABCC3, were significantly induced under saline-alkaline stress in gill and hepatopancreas tissues. In contrast, most FcABCs were downregulated after WSSV challenge, though a subset (e.g., FcABCB1, FcABCC1) exhibited early upregulation. Functional validation via RNA interference demonstrated that knockdown of FcABCG5 increased shrimp mortality under saline-alkaline stress. Cis-regulatory element analysis revealed an enrichment of stress- and immune-related elements in FcABC promoters. Protein-protein interaction network predictions indicated potential roles for FcABCs in cholesterol metabolism and organic anion transport. Our findings provide insights into the roles of FcABC genes in stress adaptation and immune defense, offering candidate genes for the breeding of stress-resistant shrimp varieties.

Animals↗

PubMed2026

Integrative analysis of transcriptome and chromatin accessibility reveals promoter-proximal regulation and identifies candidate ABC transporters associated with cold stress responses in maize.

BACKGROUND: Low-temperature stress is a formidable environmental constraint that severely limits the growth and productivity of maize (Zea mays L.), particularly during the highly vulnerable early seedling stage. While cold tolerance is a critical agronomic objective, the integrated transcriptional and epigenetic regulatory mechanisms that govern this trait remain largely elusive. Characterizing these coordinated molecular networks is fundamental to the genetic enhancement of cold resilience in maize. METHODS: Using two maize inbred lines contrasting in chilling response (ZHB12 tolerant, B73 sensitive), we performed integrative time‑course RNA‑seq and ATAC‑seq to thoroughly and systematically characterize the precise dynamic interplay between gene expression and chromatin accessibility under cold stress conditions at the seedling stage. RESULTS: Physiological assessments confirmed that ZHB12 possesses superior cold tolerance, manifested by significantly attenuated electrolyte leakage and reduced foliar damage compared to B73. Transcriptomic profiling revealed a massive, time-dependent divergence in gene expression between the two genotypes, with a major regulatory transition identified at 24 h of cold exposure. Functional enrichment analysis demonstrated that ZHB12 preferentially activates a robust defense repertoire, including Photosystem II electron transport, diterpenoid biosynthesis, and ATP biosynthetic pathways. Notably, multiple ATP-binding cassette (ABC) transporter genes were coordinately upregulated under chilling, suggesting their potential involvement in cellular homeostasis. ATAC-seq analysis indicated that cold stress is associated with chromatin remodeling in ZHB12, with increased accessibility observed in proximal promoter regions. Integrative analysis identified a core set of dual-responsive genes, in which increased promoter accessibility coincided with transcriptional upregulation. These genes were predominantly enriched in transporter activity and transcriptional regulation, suggesting potential epigenetic link to the superior stress response of ZHB12. CONCLUSION: Our findings reveal extensive transcriptional and chromatin accessibility changes in ZHB12 under cold stress. The observed associations between promoter accessibility and gene activation, particularly in genes involved in transport processes, highlight candidate regulators potentially contributing to cold tolerance. This study provides a molecular framework and identifies high-value candidate genes that may inform future efforts in breeding cold-tolerant maize, pending functional validation.

Zea mays↗

PubMed2026

In-Silico and Functional Characterization of EcdLp, an ABC Transporter of Aspergillus nidulans NRRL11440.

Echinocandin B (ECB) biosynthesis in Aspergillus nidulans is primarily governed by multiple genes located within the biosynthetic echinocandin (ecd) gene cluster. The contributory functions of many genes, including transcription factors and tailoring enzymes of the ecd gene cluster, have been previously studied. The present study focused on determining the role of transporter proteins, EcdLp, EcdCp, and EcdDp, in ECB efflux using in silico and biochemical approaches. The molecular docking analysis revealed that ECB relatively showed higher binding affinity for EcdLp than the other co-clustered MFS transporters EcdCp and EcdDp, suggesting a preferred substrate of EcdLp. These results were further confirmed by heterologous integration of the ecdL gene in the ABC transporters-deficient Saccharomyces cerevisiae AD1-8u⁻, confirming active efflux. However, the binding of ECB in EcdLp is distinct from the R6G binding, overlapping the promiscuous site of farnesol, resulting in inhibition of R6G efflux in a dose-dependent manner. In conclusion, these results decipher the ECB binding and efflux mechanism and unveil the evolutionarily specialized architecture of EcdLp that permits targeted metabolite export in addition to environmental responsiveness, and lay the groundwork for optimizing ECB production via transporter engineering.

Aspergillus nidulans↗

PubMed2026

Integrating machine learning and GWAS for variant prioritization in the INCIPE cohort highlights ABC transporter genes in chronic kidney disease.

INTRODUCTION: Chronic kidney disease (CKD) is a major public health challenge, affecting approximately 674 million people worldwide and representing one of the fastest-growing causes of mortality. Since CKD is frequently asymptomatic in its early stages, the identification of novel genetic biomarkers may improve early detection and risk stratification. Genome-Wide Association Studies (GWAS) have identified numerous genetic loci associated with CKD and related traits; however, their performance is often limited in small and imbalanced cohorts, where reduced statistical power increases both false-positive and false-negative findings. Machine learning (ML) approaches can complement conventional GWAS by prioritizing biologically relevant genetic signals from high-dimensional genomic data. METHODS: In this study, we implemented a nested ensemble (NCBC) model composed of an undersampler and a CatBoostClassifier (CBC) to prioritize candidate genetic variants associated with CKD in the INCIPE cohort. Prioritized variants were functionally annotated and evaluated through enrichment analyses, GTEx gene expression profiling, and protein-protein interaction network analyses. Genes identified by the CKDGen Consortium were analysed as an external reference set and used to validate the biological relevance of the prioritized results. RESULTS: The NCBC model outperformed conventional ML classifiers, achieving a ROC AUC score of 87.77%, compared to 50%-53% for the other evaluated models. Among the prioritized genes, 56.25% showed protein-protein interactions with genes previously reported by the CKDGen Consortium, whereas only 1.9% of randomly generated gene sets showed interactions. DISCUSSION: Our study demonstrates that the NCBC model improves the prioritization of biologically plausible candidate variants in a small and imbalanced CKD cohort. Functional analyses suggested ABC transporter-related genes, including ABCA13, ABCA4, and ABCC4 genes, as promising candidate for future validation, with ABCA4 showing substantial expression in kidney tissues. Overall, these findings support the integration of ML with GWAS to prioritize candidate genes and investigate the genetic architecture of complex diseases.

SNP prioritization↗

PubMed2025

Efficacy of amivantamab, a bi-specific antibody targeting EGFR and MET, in ALK-rearranged non-small-cell lung cancer cell lines.

BACKGROUND: Anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) are highly effective in treating ALK-rearranged non-small-cell lung cancer (NSCLC). However, at least 40% of patients develop acquired resistance during treatment. Adaptive or acquired resistance to ALK TKIs could be mediated through epidermal growth factor receptor (EGFR) and mesenchymal-epithelial transition factor (MET) signaling. Sixteen percent of acquired resistance cases are linked to bypass signaling. METHODS: In this study, we evaluated the effects of amivantamab, a bi-specific antibody targeting both EGFR and MET, on ALK-rearranged NSCLC cells. We investigated the effect of amivantamab on the ALK-rearranged NSCLC cell lines H3122, ABC-19, and ABC-11. RESULTS: Combining alectinib with amivantamab resulted in greater inhibition of cell growth inhibition in H3122 and ABC-19 cells compared to alectinib alone, but not in ABC-11 cells. EGFR TKI erlotinib showed similar efficacy in H3122 and ABC-19 cells, whereas MET TKI tepotinib was ineffective in both, suggesting that the efficacy of amivantamab is through EGFR inhibition. Unlike H3122 and ABC-19 cells, ABC-11 cells were resistant to EGFR/MET signaling inhibition. Interestingly, amivantamab enhanced alectinib efficacy against ABC-11 cells in the presence of peripheral blood mononuclear cells (PBMCs), despite showing no effect alone without PBMCs, suggesting action through non-signal inhibitory mechanisms. Finally, we treated alectinib-resistant cellswith alectinib, with or without amivantamab, and found that amivantamab restored the sensitivity of these cells to alectinib. CONCLUSION: The bi-specific antibody amivantamab, which targets EGFR and MET, enhanced the efficacy of alectinib through both signal and non-signal inhibitory mechanisms in ALK-rearranged NSCLC cells.

Humans↗

PubMed2026

Molecular basis of Fenazaquin resistance in Polyphagotarsonemus latus revealed by transcriptome profiling and real-time validation.

The broad mite, Polyphagotarsonemus latus (Banks), is a highly polyphagous tarsonemid pest that causes severe damage to a wide range of agricultural and horticultural crops. The excessive and indiscriminate use of Fenazaquin, a mitochondrial electron transport inhibitor, resulted in the rapid development of resistance in P. latus. To elucidate the molecular mechanisms underlying acaricide resistance, a transcriptomic investigation was conducted on Fenazaquin-resistant (FEN-SEL) and susceptible (NBAIR-GR-TAR-01a) populations. The analysis identified putative genes involved in detoxification, including cytochrome P450 monooxygenases (CYPs), glutathione S-transferases (GSTs), choline and carboxyl esterases (CCEs), and ATP-binding cassette (ABC) transporters. Phylogenetic analysis revealed lineage-specific expansions of clan 3 CYPs, delta and acari-specific mu classes of GSTs, and ABCC, ABCG, and ABCH subfamilies of ABC transporters. Ten resistance-associated unigenes were validated using quantitative real-time PCR to assess gene expression patterns. The results showed significant upregulation of CYP4CL3, CYP4CF4, two delta-class GSTs, two CCEs belonging to clade J″, and two ABC transporters from subfamily C. However, CYP4725A2 and CYP4726A1 showed downregulation. These findings highlight the potential association of multiple metabolism-related gene families with Fenazaquin resistance and their possible contribution to the resistant phenotype. Overall, this study provides molecular insights into Fenazaquin resistance in P. latus, supporting the need for targeted resistance management strategies. Further research is warranted to evaluate the potential of these genes as molecular targets for sustainable broad mite management.

Acaricide↗

PubMed2025

Molecular evolution of the members of the Snq2/Pdr18 subfamily of Pdr transporters in the Hemiascomycete yeasts.

The transporters of the ATP-Binding Cassette (ABC) Superfamily involved in the Multidrug Resistance (MDR) phenomena are also known as ABC-Pleiotropic Drug Resistance (PDR) proteins. The homologs of the Saccharomyces cerevisiae SNQ2 and PDR18 genes were identified in 171 yeast genomes, representing 68 different hemiascomycetous species. All early-divergent yeast species analyzed in this work lack Snq2/Pdr18 homologs, suggesting that the origin of these ABC-PDR genes in hemiascomycete yeasts resulted from a horizontal transfer event. The evolutionary pathway of the Snq2/Pdr18 protein subfamily in pathogenic Candida species was also reconstructed, revealing a main gene lineage leading to the Candida albicans SNQ2 gene. The results indicate that, after the gene duplication event at the origin of the SNQ2/PDR18 paralogs, the PDR18 ortholog has been under strong diversifying selection and suggest that a small portion of the sequence of the SNQ2 ancestral ortholog might have been under mild positive selection. The results also showed that strong positive selection was exerted over one of the two paralogs generated by the Whole Genome Duplication (WGD) event, corresponding to the duplicate at the origin of a "short-lived" WGD sublineage.

Evolution, Molecular↗

PubMed2026

A next-generation sequencing-based pharmacogenetic study of ABCB1, ABCC1, and ABCC2 variants associated with antiseizure medication response in Turkish epilepsy patients.

OBJECTIVES: Epilepsy is a chronic neurological disorder characterized by a tendency to have recurrent seizures due to abnormal and excessive neuronal activity in the brain. Genetic variants in adenosine triphosphate (ATP)-binding cassette (ABC) transporter genes, including ABCB1, ABCC1, and ABCC2, may contribute to pharmacoresistance in epilepsy by altering the transport of anti-seizure medications (ASMs) across the blood-brain barrier (BBB). This study aims to explore genetic polymorphisms in the ABCB1, ABCC1, and ABCC2 genes in Turkish epilepsy patients and to assess their impact on responsiveness to ASMs. METHODS: Targeted next-generation sequencing was used for molecular genotyping of the ABCB1, ABCC1, and ABCC2 genes in genomic DNA from 35 patients. RESULTS: A total of nine common variants were analyzed in ABCB1 (rs2032582, rs1045642, rs1128503), ABCC1 (rs35626, rs212087, rs246221), and ABCC2 (rs717620, rs22773697, rs3740066). A statistically significant association was found between ABCB1 rs2032582:T>G and ASMs response in the recessive model (TT + TG vs. GG, p = 0.018, OR = 13.13; 95% CI: 1.69-160.1; Benjamini-Hochberg (BH) FDR-adjusted q = 0.09), with the TT + TG genotypes being more frequent among drug-responsive patients. Haplotype analysis showed that only the ABCB1 rs2032582 G allele was significantly more frequent in drug-persistent patients compared with drug-responsive patients (χ2 = 3.916, p = 0.047). However, none of these associations remained statistically significant after false discovery rate (FDR) correction, and all findings should therefore be interpreted as exploratory. SIGNIFICANCE: The findings suggest that the ABCB1 rs2032582:T>G polymorphism may be associated with variability in treatment response among Turkish epilepsy patients. These results emphasize the potential involvement of ABC transporter-mediated drug efflux mechanisms in impacting the effectiveness of ASMs.

ABCB1↗

PubMed2026

The Effect of Robot-Assisted Gait Training on Balance, Gait and Kinesiophobia in Individuals With Post-Stroke Hemiparesis: A Randomized Controlled Trial.

BACKGROUND AND PURPOSE: Robot-assisted gait training (RAGT) is well established for post-stroke gait rehabilitation, but its potential effects on psychological and behavioral outcomes are less clear. This study investigated the effects of adding RAGT to conventional rehabilitation on balance, gait, kinesiophobia, and movement confidence in individuals with post-stroke hemiparesis. METHODS: This single-blind, parallel-group randomized controlled trial included 60 individuals with post-stroke hemiparesis (50-75 years), randomly allocated to an RAGT group (n = 30) or control group (n = 30). Ethical approval was obtained from the Clinical Research Ethics Committee of Istanbul Yeni Yüzyıl University (Approval No. 20.01.2022/05; approval date: 20 January 2022). Both groups received conventional rehabilitation for 8 weeks; the RAGT group additionally received 24 sessions of RAGT. Kinesiophobia was a prespecified study outcome assessed using the Kinesiophobia Causes Scale (KCS); balance, gait, and balance confidence were also assessed. All 60 randomized participants completed follow-up and were analyzed in their assigned groups. RESULTS: Significant group × time interactions were observed for several outcomes, including BBS, TUG duration, 10MWT walking speed, ABC, and KCS total score (p < 0.05). The between-group difference in change for KCS total score was -0.36 (95% CI: -0.51 to -0.21; partial eta squared = 0.292). In post hoc analyses adjusting each outcome for its baseline value, significant group effects remained for BBS, TUG duration, 10MWT walking speed, ABC, KCS biological domain, and KCS total score (p< = 0.031), whereas 10MWT step count and the KCS psychological domain were no longer statistically significant. DISCUSSION: Adding RAGT to conventional rehabilitation was associated with greater improvements in several balance, mobility, walking-speed, balance-confidence, and kinesiophobia outcomes compared with conventional rehabilitation alone. These findings suggest potential additional physical and psychological benefits of incorporating RAGT into post-stroke rehabilitation. However, because the RAGT group received greater overall treatment exposure, the observed between-group differences cannot be attributed solely to the robotic component. The principal contribution of this study is the concurrent evaluation of kinesiophobia and movement confidence alongside physical outcomes.

Aged↗

PubMed2026

Quality of life with palbociclib plus tamoxifen in hormone receptor-positive, HER2-negative advanced breast cancer: results from PATHWAY, an Asian international, double-blind, randomized phase 3 trial.

BACKGROUND: In the Asian international PATHWAY trial, palbociclib-tamoxifen demonstrated improved progression-free survival compared with placebo-tamoxifen in patients with HR+/HER2- locally advanced or metastatic breast cancer (ABC). This analysis compared quality of life (QoL) between treatment arms. METHODS: Pre/peri or postmenopausal women with HR+/HER2- ABC were randomly assigned 1:1 to receive palbociclib-tamoxifen or placebo-tamoxifen. Patient-reported outcomes were assessed on day 1 of cycles 1 (baseline), 4, and 7, and at the end of treatment (EOT) using the EORTC QLQ-C30 and QLQ-BR23 questionnaires. Least-square mean (LSM) changes in scores from baseline were calculated. Kaplan-Meier method was used to calculate time to deterioration (TTD) in the minimally important difference (MID) in the pain subscale. RESULTS: In the comparison between treatment arms, no significant differences were observed in LSM changes in scores from baseline in global QoL (cycle 4: 0.70 [95% confidence interval (CI): -5.00, 6.41]; cycle 7: 2.17 [95% CI: -4.14, 8.48]; EOT: -5.19 [95% CI: -11.64, 1.26]). For both the EORTC QLQ-C30 and QLQ-BR23 functional and symptom subscales, no clinically meaningful differences between treatment arms were found in the LSM changes in scores from baseline. Median TTD in the MID in the pain subscale was 32.5 months (95% CI: 11.7, not estimable) for the palbociclib-tamoxifen arm and 21.2 months (95% CI: 5.5, 43.5) for the placebo-tamoxifen arm (hazard ratio = 0.729 [95% CI: 0.467, 1.138]). CONCLUSIONS: The combination of palbociclib and tamoxifen delayed deterioration in patients' QoL while they experienced reduced risk for disease progression. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03423199; study registration date: February 6, 2018.

Humans↗

PubMed2025

Primulina pan-genome reveals differential gene retention following whole-genome duplications and provides insights into edaphic specialization.

Primulina, a genus of >200 species specialized to extreme soils, provides a model for edaphic adaptation. We assemble seven genomes and construct a pan-genome spanning nine species from karst, Danxia, and acidic soils. Comparative analyses reveal that karst-adapted species have smaller genomes. Two lineage-specific whole-genome duplications (WGDs) exhibit biased duplicate loss in large gene families but preferential retention of transcription factors, indicating combined adaptive and nonadaptive forces. Pan-genome analyses identify ion channel and transporter genes enriched in variant hotspots and under positive selection in karst lineages. Candidate genes for drought and salt stress tolerance include ABC transporters and ion channels. Notably, an ABC transporter shows positive selection in karst species and unique structural variation in non-karst species. Together, our findings show that genome downsizing, biased post-WGD retention, and evolution of ion-transport pathways shape adaptation to extreme soils. The Primulina pan-genome provides a resource for dissecting mechanisms underlying edaphic specialization.

Gene Duplication↗

PubMed2024

Mudskipper detects combinatorial RNA binding protein interactions in multiplexed CLIP data.

The uncovering of protein-RNA interactions enables a deeper understanding of RNA processing. Recent multiplexed crosslinking and immunoprecipitation (CLIP) technologies such as antibody-barcoded eCLIP (ABC) dramatically increase the throughput of mapping RNA binding protein (RBP) binding sites. However, multiplex CLIP datasets are multivariate, and each RBP suffers non-uniform signal-to-noise ratio. To address this, we developed Mudskipper, a versatile computational suite comprising two components: a Dirichlet multinomial mixture model to account for the multivariate nature of ABC datasets and a softmasking approach that identifies and removes non-specific protein-RNA interactions in RBPs with low signal-to-noise ratio. Mudskipper demonstrates superior precision and recall over existing tools on multiplex datasets and supports analysis of repetitive elements and small non-coding RNAs. Our findings unravel splicing outcomes and variant-associated disruptions, enabling higher-throughput investigations into diseases and regulation mediated by RBPs.

RNA-Binding Proteins↗

PubMed2026

HiCPotts: An R/Bioconductor package to identify significant interactions in chromosome conformation capture data and model sources of bias.

MOTIVATION: Chromosome Conformation Capture methods, including Hi-C, micro-C or Capture-C, are used to map chromatin interactions genome-wide. Most of the existing computational methods do not account for sources of bias (such as DNA accessibility, GC content or TE content) in the data. RESULTS: We previously developed ZipHiC, a Bayesian method based on the hidden Markov random field (HMRF) model and the Approximate Bayesian Computation (ABC), that uses zero-inflated Poisson distribution to model the noise, signal and false signal of the data and showed that this approach was able to detect bias from DNA accessibility, GC content and TE content in both Hi-C and micro-C data. Here, we present HiCPotts, another Bayesian method based on the HMRF model and the ABC that uses a zero-inflated Negative Binomial distribution instead to model the noise and signal of the data. We systematically show that HiCPotts reduces false positives and increases recovery of true interactions compared to ZipHiC, but also compared to other methods such as FastHiC, Juicer and HiCExplorer. Most importantly, we provide an R/Bioconductor package that allows modelling the noise, signal and false signal using various distributions such as the zero-inflated Negative Binomial (ZINB) and the zero-inflated Poisson distribution (ZIP). AVAILABILITY AND IMPLEMENTATION: https://bioconductor.org/packages/HiCPotts/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Approximate Bayesian Computation↗

PubMed2025

Whole-genome sequencing-based pathogen characterization for streptococcal infection directly from positive blood culture samples.

Clinical laboratories are increasingly using diagnostic tests directly on positive blood cultures, which may lead to fewer attempts to recover bacterial isolates. Consequently, public health laboratories can benefit from assays that directly process blood culture samples without requiring submission of clinical isolates to determine additional pathogen features not identified by clinical tests, such as vaccine serotype and bacterial genomic relatedness, for surveillance and outbreak response purposes. In partnership with the Minnesota Active Bacterial Core surveillance (ABCs) site, we identified blood culture samples positive for ABCs streptococcal pathogens and characterized them by a direct whole-genome sequencing from blood culture (dWGS) assay. The dWGS results were compared with the results of a reference method (WGS of isolates from the same cultures) to evaluate concordance in pathogen features and genome assemblies. Of the 97 eligible blood culture samples, 83 (86%) passed dWGS quality control criteria and were subjected to a total of 655 dWGS-based tests, which yielded 651 (99.3%) evaluable results. The percent agreement with reference results was 100% (83/83) for M protein gene (emm)/capsular types and 100% (81/81) for multilocus sequencing types. For genotypic antimicrobial susceptibility testing prediction, the percent prediction agreement was 100% (487/487), false resistant prediction rate was 0% (0/417), and the false susceptible prediction rate was 0% (0/66). Assemblies of pathogen genomes from the same patient differed by 1.08 ± 1.68 (mean ± SD) sites per genome. The dWGS assay can extract high-quality, important streptococcal strain characteristics directly from positive blood culture samples to support evolving public health needs.IMPORTANCEWhole-genome sequencing (WGS) technologies have emerged as a transformative toolkit used by public health microbiology laboratories to detect and characterize pathogens. The surveillance of bacterial diseases often relies on clinical laboratories to submit pathogen isolates to regional or national public health laboratories, which have the capacity to routinely conduct WGS-based strain characterization. Clinical laboratories are increasingly using diagnostic tests directly on positive blood cultures, which may lead to fewer attempts to recover bacterial isolates. The study evaluated a direct whole-genome sequencing from blood culture (dWGS) assay that directly processes blood culture samples. The dWGS assay recovered high quality, important streptococcal strain characteristics, including vaccine serotypes and whole-genome assemblies, without requiring submission of clinical isolates. Thus, the dWGS assay represents a promising tool for addressing the evolving needs of public health laboratories in the metagenomics era.

Humans↗

PubMed2005

Population structure and properties of Candida albicans, as determined by multilocus sequence typing.

We submitted a panel of 416 isolates of Candida albicans from separate sources to multilocus sequence typing (MLST). The data generated determined a population structure in which four major clades of closely related isolates were delineated, together with eight minor clades comprising five or more isolates. By Fisher's exact test, a statistically significant association was found between particular clades and the anatomical source, geographical source, ABC genotype, decade of isolation, and homozygosity versus heterozygosity at the mating type-like locus (MTL) of the isolates in the clade. However, these associations may have been influenced by confounding variables, since in a univariate analysis of variance, only the clade associations with ABC type and anatomical source emerged as statistically significant, providing the first indication of possible differences between C. albicans strain type clades and their propensity to infect or colonize different anatomical locations. There were no significant differences between clades with respect to distributions of isolates resistant to fluconazole, itraconazole, or flucytosine. However, the majority of flucytosine-resistant isolates belonged to clade 1, and these isolates, but not flucytosine-resistant isolates in other clades, bore a unique mutation in the FUR1 gene that probably accounts for their resistance. A significantly higher proportion of isolates resistant to fluconazole, itraconazole, and flucytosine were homozygous at the MTL, suggesting that antifungal pressure may trigger a common mechanism that leads both to resistance and to MTL homozygosity. The utility of MLST for determining clade assignments of clinical isolates will form the basis for strain selection for future research into C. albicans virulence.

Analysis of Variance↗

PubMed2026

Comparison of clinical efficacy and gut microbiota characteristics in children with ASD treated with fecal microbiota transplantation and ketogenic diet.

OBJECTIVE: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social communication and interaction, along with restricted, repetitive patterns of behavior. It is often accompanied by gastrointestinal dysfunction and gut microbiota dysbiosis. Fecal Microbiota Transplantation (FMT) and the Ketogenic Diet (KD) are interventions targeting the gut microbiota for ASD. METHODS: 30 participants were diagnosed with ASD according to DSM-5 and ADOS-2. ASD core symptoms were evaluated with CARS and ABC. Gut microbiota composition was analyzed by shotgun metagenomic sequencing. RESULTS: Both groups demonstrated significant improvements in core symptoms. In the FMT group, the mean CARS score significantly decreased from 34.87 to 33.53 (p < 0.01); in the KD group, it declined from 35.13 to 33 (p < 0.01). The mean ABC score reduced from 79.93 to 69.33 (p = 0.064) in the FMT group and from 63.07 to 42.73 (p < 0.01) in the KD group. Following the intervention, no statistically significant changes were observed in α-diversity or β-diversity within either group. LEfSe analysis revealed distinct post-intervention microbial signatures: FMT significantly enriched butyrate-producing taxa (Wujia chipingensis, Eubacterium sp. MSJ-33, and Butyrivibrio crossotus), while KD elevated Blautia massiliensis and decreased propionate metabolism -associated taxa (Veillonella sp. S12025-13 and Veillonella nakazawae). KEGG enrichment analysis revealed that KD enriched propionate metabolism (Fold enrichment = 3.747, q = 0.010) and aromatic compound degradation (Fold enrichment = 3.591, q = 0.010). CONCLUSIONS: Both interventions significantly improved clinical symptoms among children with ASD, potentially through distinct patterns of gut microbiota modulation. CLINICAL TRIALS NUMBER: NCT06348433 (03/21/2024).

Child↗

PubMed2026

Age-stratified associations of glycemia, blood pressure, and cholesterol with mortality in diabetes: A prospective cohort study.

BACKGROUND: Optimization of HbA1c, blood pressure and cholesterol, referred to as the "ABCs", is central to the management of diabetes. However, the age-specific associations of these factors with mortality in patients with diabetes remains unclear. METHODS: In this prospective cohort study, 43,732 Chinese adults aged ≥ 40 years with diabetes were included from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Participants were stratified by age (< 55, 55-<65, 65-<75, ≥ 75 years). Cox proportional hazards regression and Fine-Gray competing risk models were employed to estimate the associations of HbA1c, systolic blood pressure (SBP), and low-density lipoprotein cholesterol (LDL-C) with all-cause, cardiovascular, and non-cardiovascular mortality across age groups. Relative importance and population attributable fractions (PAFs) were computed for each metabolic factor. RESULTS: During a median follow-up of 10.1 years, 3,975 deaths were documented. Age significantly modified the associations of HbA1c, SBP, and LDL-C with all mortality outcomes (all P for interaction < 0.05). Among participants aged < 75 years, HbA1c showed graded positive associations with all-cause, cardiovascular, and non-cardiovascular mortality. The SBP thresholds associated with increased mortality risk were 140 mmHg in those aged < 65 years and 160 mmHg in those aged 65-<75 years. Among those aged ≥ 75 years, however, the patterns of these associations differed markedly. Elevated mortality risk was observed only at HbA1c ≥ 9%, with a hazard ratio (HR) of 1.51 (95% confidence interval [CI]: 1.19-1.91) for all-cause mortality and a subdistribution hazard ratio (SHR) of 1.70 (95% CI: 1.23-2.36) for cardiovascular mortality, while SBP showed no significant association with any mortality outcome in this age group. Moreover, LDL-C emerged as a significant risk factor for cardiovascular mortality. Compared with participants with LDL-C < 1.8 mmol/L, those with LDL-C of 1.8-<2.6 mmol/L exhibited a significantly higher risk (SHR: 1.86; 95% CI: 1.11-3.11). Additionally, LDL-C had the largest PAF for cardiovascular mortality (9.6%) within this age group. CONCLUSIONS: The impacts of ABC factors on mortality risk vary substantially by age among adults with diabetes. In patients aged ≥ 75 years, less stringent glycemic and blood pressure targets may be appropriate, whereas lipid management remains critically important for reducing cardiovascular mortality.

Humans↗