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Co-mutation Based Genetic Networks to Infer Temporal Mutation Dynamics in Ancient Human Mitochondrial Genomes.

The evolutionary history of Homo sapiens is marked by complex interactions between environmental, cultural, and genetic factors. To investigate the molecular signatures of these processes, we analyzed ancient mitochondrial DNA (mtDNA) across temporal and geographic contexts using principles of co-occurrence of minor alleles defined as co-mutation, through spatiotemporal co-mutation networks of variable sites. Haplogroup-based assessments of variable sites revealed a major transition from foraging to agrarian lifestyles during the Copper-Bronze Age. Genetic network analyses demonstrated that COX and CYB loci exhibited distinct temporal dynamics, with their interactions modulated by NADH dehydrogenase genes in a geological age-dependent manner. To complement the network approach, we constructed phylogeny-based gene interaction networks and assessed polymorphism-to-divergence from chimpanzee ratios. The tree-based networks displayed topologies consistent with co-mutation analyses but showed reduced gene-gene connectivity. Polymorphism/divergence analysis further indicated that the CYB gene has been under long-term purifying selection, whereas ATP6, COX, and NADH dehydrogenase genes experienced episodic purifying selection aligned with distinct historical phases. Collectively, our findings demonstrate that network-based analysis of ancient mtDNA provides insights into early human lifestyle transitions and haplogroup diversification, contributing to the evolutionary foundations of modern human populations.

Ancient humans

Molecular Epidemiology of Coxsackievirus A10 Associated With Hand, Foot and Mouth Disease From 2021 to 2024 in Shenzhen, China.

The study aimed to investigate epidemiological profile and molecular characteristics of coxsackievirus A10 (CVA10) associated with hand, foot and mouth disease (HFMD) in Shenzhen, China and comparatively analyze genomes of CVA10 strains related to differential clinical phenotypes. A total of 3170 clinical specimens collected between 2021 and 2024 were examined for CVA10 using real-time RT-PCR. Complete VP1 sequences and near-complete genome sequences of CVA10 were determined by RT-PCR methods and sequencing. Sequences were analyzed using a series of bioinformatics programs. Two (33.33%) out of 6 severe cases were infected with CVA10. The detection rate of CVA10 associated with mild HFMD ranged from 1.21% to 6.11% in 2021-2024, with an overall detection rate of 3.73%. There was no significant difference in the infection rate of CVA10 between males and females or different age groups. The CVA10 infections mainly occurred in Spring (March to May) and Summer (June to August) in Shenzhen. Of the 74 VP1 sequences determined, 71 (95.95%) of them were detected in the sub-genotype C2, 3 (4.05%) were assigned to the genotype D. Genomic sequence analysis indicated that the genotype D of CVA10 of this study derived from genetic recombination between CVA10 and CVA16 in 3A-3D coding region (nucleotide position: 5075-6896). Different variable sites were observed in the two CVA10 strains associated with different severe complications when compared to CVA10 strains associated with mild diseases. In conclusion, CVA10 associated with HFMD circulated at a low level in Shenzhen in 2021-2024, with C2 as the predominant genotype. Recombinant genotype D of CVA10 was introduced first to Shenzhen in 2024. The study emphasizes the importance of continuous molecular surveillance of CVA10.

Humans

Towards a Standard Threshold for Genome Wide Significance in Dogs.

Genome-wide association studies (GWAS) are a foundational step in tying phenotype to genotype, relying on statistical significance thresholds to distinguish true- from false-positive signals of association. Dog genomics has long relied on per-study Bonferroni thresholds of significance, basing these on SNP chip levels of markers (~100 k to > 14 M variable sites). However, as the field progresses into whole genome imputation analyses and more powerful meta-analyses, there is a clear need to develop a standard significance threshold for common-variant GWAS. Using 1591 dogs from the broad-ancestry Dog10K dataset, we performed permutation analysis and developed GWAS thresholds for datasets using either 1% or 5% minor allele frequencies. The resultant p-values, 4.2 × 10-7 and 5.0 × 10-7 respectively, are similar to previous Bonferroni levels (p-value ~6 × 10-7), but less restrictive than the standard human p-value, 5 × 10-8, which is sometimes used in dog studies. Given the diverse haplotypes from the > 320 breeds in the Dog10K input dataset, we suggest a p-value of 4 × 10-7 as a standard significance threshold that could be applied to any dog GWAS.

Animals

Characterisation of a persistent SARS-CoV-2 infection lasting more than 750 days in a person living with HIV: a genomic analysis.

BACKGROUND: People who are immunocompromised can develop persistent SARS-CoV-2 infections. Several viral mutations accumulated during the course of such persistent infections have also been observed in prominent variants of concern (VOCs). Here, we characterise persistent infection and viral evolution of SARS-CoV-2 lasting more than 750 days in a person with advanced HIV-1 infection. METHODS: Between March, 2021, and July, 2022, eight clinical specimens were collected from a person living with HIV, neither receiving antiretroviral therapy nor virally suppressed, and presumed to have been initially infected with SARS-CoV-2 in mid-May, 2020. Viral RNA was extracted from each swab and an amplicon-based sequencing approach was used for genomic analysis of SARS-CoV-2. Variable sites were characterised at the consensus and subconsensus levels, and phylogenetic tools were applied to analyse viral evolution. Publicly available SARS-CoV-2 sequences from GenBank were leveraged to contextualise our sequenced samples and identify any potential evidence of transmission. FINDINGS: Genomes formed a monophyletic cluster in the B.1 lineage. 68 consensus and 67 subconsensus single nucleotide variants were observed over the course of infection. The intrahost clock rate remained similar to that of the interhost rate in contemporaneous community sequences (6·74 × 10-4 [95% credible interval 5·05 × 10-4 to 8·54 × 10-4] substitutions per site per year vs 6·11 × 10-4 [5·54 × 10-5 to 6·66 × 10-4]). Mutations grouped into two distinct subpopulations present throughout infection. 10 non-synonymous mutations in the spike protein gene were at positions in common with those defining the omicron lineage (BA.1 or BA.2), of which nine were present before November, 2021. Nine of 18 substitutions present throughout infection were rare in online databases, suggesting a lack of long transmission chains descending from this individual. INTERPRETATION: Convergent SARS-CoV-2 evolution, both in and outside the spike protein, observed in this study suggests parallels with the evolutionary process leading to emergence of the omicron VOC. The inferred absence of onward infections might indicate a loss of transmissibility during adaptation to a single host. Our results underscore the importance of appropriate treatment to cure persistent SARS-CoV-2 infections and monitoring them to understand how mutations contribute to viral adaptation. FUNDING: National Institute of General Medical Sciences of the National Institutes of Health, Centers for Disease Control and Prevention, the National Institute of Allergy and Infectious Diseases, MassCPR, and Morris Singer Foundation.

Humans

RAD-Seq-derived SNPs reveal no local population structure in the commercially important deep-sea queen snapper (Etelis oculatus) in Puerto Rico.

UNLABELLED: The queen snapper (Etelis oculatus Valenciennes in Cuvier & Valenciennes, 1828) is a deep-sea snapper whose commercial importance continues to increase in the US Caribbean. However, little is known about the biology and ecology of this species. In this study, the presence of a fine-scale population structure and genetic diversity of queen snapper from Puerto Rico was assessed through 16,188 SNPs derived from the Restriction site Associated DNA Sequencing (RAD-Seq) technique. Summary statistics estimated low genetic diversity (HO = 0.333-0.264) and did not reveal population differentiation within our samples (F ST = - 0.001-0.025). Principal component analysis and a model-based clustering method did not detect a fine-scale subpopulation structure among sampling sites, however, there was genetic variability within regions and sites. Our results have revealed comparable genetic and dispersal patterns to those observed in other shallow-water snapper species in Puerto Rico waters. It is crucial to further enhance our understanding of the ecological and biological aspect of the queen snapper to effectively manage and conserve this species as fishing pressure has been extended to deep water species in the US Caribbean. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42995-025-00289-7.

Caribbean Fisheries

Big data and psychiatry: advances, constraints and future directions.

Early work in psychiatry research, often involving single sites, small samples, and limited variables, has shifted to contemporary research involving multiple sites, large samples, and many variables. Such research raises important questions, including concerns about data quality and methodological rigor, uncertainty about its key lessons, issues regarding clinical relevance, and questions about how to optimize future advances. Here we consider these questions and concerns against the context of big data work on community and register-based surveys, cohort and biobank studies, electronic health records, digital phenotyping, brain imaging, genomics and other -omics, and randomized controlled trials. The development of large datasets allowing well-powered analyses is a major milestone, but sample size alone does not guarantee more precise estimates, and ongoing attention to the quality and rigor of big data collation and analysis is needed. Big data research has fostered trans-disciplinarity and given insights into mechanisms underlying psychiatric disorders, but also emphasizes the intricacy, heterogeneity and variability of such mechanisms, and the importance of triangulating between large-scale and small-scale research. The complexity of psychiatric phenotypes and psychobiological mechanisms contributes to the difficulty in bridging from big data to clinical application; big data research reinforces the importance of holding our diagnoses of psychiatric disorders lightly and providing explanations of these conditions humbly; and future work needs to be more attentive to clinical issues. There is enormous scope for further building databases relevant to psychiatry, but advances in conceptual models and asking the right questions are equally valuable. The full impact of big data, including artificial intelligence analyses, remains to be seen, but overenthusiastic support should be tempered by a better understanding of its strengths and limitations. At its best, such work will contribute in an iterative and integrative way to advancing our knowledge of psychiatric disorders and mental health.

Big data

Donor Microbiota Features Associated With Liver Transplant Recipient Infectious Complications: A Pilot Study Using Deep Intestinal Sampling During Liver Procurement.

BACKGROUND: The gut microbiota of living organ donors has been linked to transplant outcomes. However, little is known about the characteristics of the deceased donor gut microbiota or its potential impact on recipient outcomes. METHODS: We analyzed the deep intestinal microbiota from 24 deceased donors. Samples included luminal stool from the right and left colon as well as bile. Microbial composition was characterized using 16S V4 rRNA sequencing. &#x3b1;- and &#x3b2;-diversity analyses were performed to compare microbial communities between donor enteric sites and against stool samples from 28 healthy community controls, 14 critically ill intensive care comparators, and 12 matched liver transplant recipients. Machine learning models and logistic regression analysis were applied to explore whether features of the donor microbiota could predict recipient post-transplant complications. FINDINGS: The deceased donor microbiota showed an absence of the expected compositional variability between sampling sites, with no significant differences in either &#x3b1;- or &#x3b2;-diversity observed between bile, right and left colonic samples (all p > 0.05). Donor samples exhibited distinct microbial profiles compared with stool from both healthy and ICU comparators, including increased abundance of potential pathogens within the Enterobacteriaceae family (all p < 0.001). Features of the donor microbiota, particularly enrichment of Enterobacteriaceae, were associated with an increased risk of early post-transplant infection in recipients (&#x2264;&#xa0;30 days; p&#xa0;=&#xa0;0.011). INTERPRETATION: The deceased donor gut microbiota may represent a distinct microbial community with potential clinical relevance. Microbial profiling of donor enteric microbiota may help identify recipients at heightened risk of early post-transplant infectious complications.

Enterobacteriaceae

The Fragile Site Landscape of Induced Pluripotent Stem Cells: Hierarchy, Variability, Tissue Specificity, and Links to Culture-Acquired Rearrangements.

Induced pluripotent stem cells (iPSCs) are prone to genomic instability during prolonged culture, with recurrent chromosomal aberrations conferring selective advantages. Replication stress is a major driver of this instability, yet the repertoire of replication stress-sensitive loci in iPSCs remains largely unexplored. Here, we mapped aphidicolin-sensitive fragile sites (asFS) in three independent iPSC lines using classical cytogenetic break analysis combined with Monte Carlo simulation and MiDAS mapping directly on banded metaphase chromosomes. We identified 28 asFS, which segregated into a highly active Major cluster (8 sites, accounting for 59% of breaks among asFS) and a less active Minor cluster (20 sites). Five universal asFS (9p21, 6q25-26, 20p11-12, 10q22, Xq25) were present in all three lines, representing a fragility signature associated with the pluripotent state, with Xq25 shifting into the Major cluster after correction for X chromosome dosage. Minor asFS showed preferential co-localization with physical breakpoints or minimal overlapping regions of recurrent culture-acquired aberrations, including 20q11.21 (BCL2L1), 1q32 (MDM4), 8q24 (MYC), 17q21 (WNT3-WNT9B), and 18q21 (DCC/FRA18B). MiDAS mapping validated most asFS and revealed additional replication stress-sensitive loci in pericentromeric and subtelomeric regions that are difficult to score by conventional G-banding. Comparison with fragile site maps from other cell types revealed that the iPSC asFS repertoire is distinct in rank order and relative activity, characteristic of the pluripotent state. Collectively, our findings indicate that the asFS repertoire in iPSCs is hierarchically organized into a stable universal core and a variable peripheral component, and suggest that Minor asFS may contribute to, or be associated with, the genesis of culture-acquired rearrangements. This work provides a framework for understanding how replication stress and clonal selection shape the mutational landscape of pluripotent stem cells.

Induced Pluripotent Stem Cells

The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI): Overview of consortium sites and anticipated enrollment.

INTRODUCTION: The Consortium for Clarity in Alzheimer's disease related dementias (ADRD) Research Through Imaging (CLARiTI) is a study that aims to collect standardized imaging and plasma biomarkers on 2000 Clinical Core participants enrolled across all Alzheimer's Disease Research Centers (ADRC) sites. We sought to summarize the known heterogeneity across centers regarding scientific focus and initial enrollment plans for CLARiTI. METHODS: We developed and distributed a survey capturing information on the 36 CLARiTI site's theme/expertise, recruitment plans, and the intersection of CLARiTI with other ADRC imaging efforts. RESULTS: Anticipated CLARiTI enrollees spanned 11 different categories of suspected etiologies underlying impairment. A wide range of risk factors were endorsed across sites regarding the enrollment of unimpaired individuals. Variability also existed regarding site-level strategies in enrollment into CLARiTI versus other imaging efforts. DISCUSSION: We anticipate that the 2000 individuals that will enroll into CLARiTI will reflect the clinical heterogeneity already in place across the ADRC network. HIGHLIGHTS: The ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI) will leverage and contribute to the existing Alzheimer's Disease Research Centers (ADRC) program by supporting standardized imaging and plasma collection across all centers. We summarize the variation in scientific focus and enrollment plans across ADRC sites participating in CLARiTI. The anticipated CLARiTI cohort will reflect the clinical heterogeneity that already exists across the ADRC network. CLARiTI will contribute to scientific goals related to the detection of multi-etiological signatures relevant for Alzheimer's disease and related disorders (ADRDs).

Humans

Systematic review of the mutations in the active antigenic site &#xd8; of the prefusion F protein of the Respiratory Syncytial Virus (RSV) following the implementation of monoclonal antibody prophylaxis.

BACKGROUND: Monoclonal antibody (mAb) nirsevimab, which targets the antigenic site &#xd8; of the prefusion F protein (pre-F) of RSV, was introduced for RSV prophylaxis in several countries. METHODS: A systematic search was conducted between January 1, 2022, and July 31, 2026 for studies analyzing substitutions within the epitope of pre-F RSV protein, which is the target of nirsevimab, after the implementation of the mAb. We searched across PubMed, Scopus, Web of Science and ClinicalTrial.gov for studies involving children with confirmed RSV infection, that conducted genomic analysis. RESULTS: Seven studies (five observational and two randomized controlled trials) including 2156 RSV-positive samples (RSV-A: 1347, RSV-B: 809) were analyzed. RSV-A strains showed limited variability within antigenic site &#xd8;, with K65R being the most common substitution and K209E being the only intermediate-resistance RSV-A substitution. RSV-B strains demonstrated substantially higher substitution frequencies, particularly involving I206M, Q209R, and S211N. Most identified substitutions appeared to represent naturally occurring polymorphisms and retained susceptibility to nirsevimab, while multiple RSV-B substitutions and combinations involving residues 64-68 and 204-208 demonstrated reduced susceptibility or high-level resistance. Resistance-associated variants were detected in 28 of 2156 (1.3%) RSV-positive samples and exclusively among nirsevimab breakthrough infections. In a sub-analysis restricted to nirsevimab-treated individuals, resistance-associated variants were significantly more frequent among RSV-B than RSV-A (9.8% vs 0.5%; p&#xa0;<&#xa0;0.001). CONCLUSION: Most substitutions that were detected within the nirsevimab antigenic site reflect ongoing natural RSV evolution and do not significantly affect nirsevimab susceptibility. However, detection of resistance-associated variants highlights the importance of continuous genomic and phenotypic surveillance.

Humans

vcfsim: flexible simulation of all-sites VCFs with missing data.

BACKGROUND |: VCFs are the most widely used data format for encoding genetic variation. By design, standard VCFs do not include data from sites where all individuals are homozygous for the reference allele ("invariant sites") and thus do not differentiate these from sites where data are completely missing. However, missing data are a key feature of biological datasets across all domains of genomics, and many recent studies have shown that missing data can introduce a variety of statistical biases in the estimation of key population genetic parameters. A solution to this limitation is to include invariant sites in a standard VCF, creating an "all-sites VCF", exposing missing and invariant sites explicitly. One hurdle to the wider adoption of all-sites VCFs is a reliable parameterized simulation framework for generating biologically realistic all-sites VCFs. RESULTS |: Here, we introduce an open-source command line tool, vcfsim, that interfaces with the popular coalescent simulation platform msprime and provides convenience functions for simulating all-sites VCFs with variable levels of ploidy and missing data. We show that the post-processed VCFs generated using vcfsim align precisely with population genetic expectations (i.e. are statistically identical to raw msprime output), accurately introduce missing data, and permit the simulation of data with varying ploidy levels, including the simulation of intraindividual ploidy variation (e.g. heterogametic sex chromosomes) and population structures. CONCLUSIONS |: Our results vcfsim is a useful and easy-to-use tool for the benchmarking of new software tools, performing population genetic inference, training of machine learning models, and the exploration of the effects of missing data in genomics data sets.

Benchmarking

Multilayered nucleotide organization reveals purifying selection and host-driven adaptation in CPV and FPV.

Since feline panleukopenia virus (FPV) is considered the most likely ancestor of canine parvovirus (CPV), comprehensive comparisons of nucleotide organization in corresponding viral genes between CPV and FPV may provide novel insights into the evolutionary dynamics underlying the divergence of these two viruses. Here, we characterize the evolutionary patterns of CPV and FPV genes across multiple levels of nucleotide organization. Both viruses exhibited highly conserved nucleotide usage at nonsynonymous sites, with Ka/Ks patterns consistent with strong purifying selection, whereas synonymous sites showed greater variability. CpG dinucleotides were markedly underrepresented across all four viral genes, suggesting host-associated selective pressure and/or intrinsic nucleotide compositional constraints. Extensive nonrandom biases in synonymous codon usage, codon neighboring nucleotide context, and codon pair usage further revealed fine-scale genomic optimization shaped by natural selection and nucleotide compositional constraints. Structural protein genes (VP1 and VP2) displayed stronger codon usage bias and higher tRNA adaptation than nonstructural genes. Moreover, CPV genes showed greater translational adaptation to feline hosts than to canine hosts. These findings highlight how closely related parvoviruses exploit flexible nucleotide organization to facilitate host adaptation while maintaining essential protein functions.

Animals

Care Models for the Genetic Evaluation of Dilated Cardiomyopathy at Sites of the DCM Consortium.

BACKGROUND: Clinical genetic evaluation for patients with dilated cardiomyopathy (DCM) is minimally implemented and models of care are not defined. To understand current genetics care for DCM, a systematic needs assessment was conducted. METHODS: Principal Investigators (PIs) of the DCM Consortium convened at the Summer Scientific Symposium in July 2025. An electronic needs assessment was collected from the 24 PIs in advance to define current care models by evaluating which Heart Failure Society of America-recommended genetic evaluation components are conducted, by whom, and time required. Descriptive statistics were generated to characterize model features. Focus group discussions explored barriers and facilitators to implementing genetic services. RESULTS: Four care models emerged from the PI responses: 1 - Traditional-Synchronous (25%, n=6, requiring the most time per patient), 2 - Traditional-Asynchronous (33%, n=8), 3 - Externally Sourced (17%, n=4), and 4 - Physician/Advanced Practice Provider Conducted (25%, n=6, requiring the least time per patient). All models used genetic testing, whereas other components were implemented variably or not at all. Models 1 (15.7&#xb1;4.1) and 2 (15.4&#xb1;3.0) were rated more acceptable than Model 4 (9.8&#xb1;2.9; 1 vs 4: p=0.027; 2 vs 4, p=0.023). Notably, 88% of PIs used genetic information for treatment decisions, including ICD placement (83%; n=20) or cardiac transplant (63%; n=15). Major facilitator themes from focus group discussions included having a genetic counselor on the HF team and developing authoritative standards directing provision of DCM genetic services. Barrier themes included operational challenges, limited personnel, clinician under-recognition, need for new service delivery models, and billing/reimbursement. CONCLUSIONS: DCM genetic care models and components were highly variable across the 24 sites of the DCM Consortium, even though all sites discussed similar factors that enable or hinder implementing genetic services for DCM. Understanding the basis of practice model variability may provide insight to yield more scalable care approaches.

clinical genetics

Care Models for the Genetic Evaluation of Dilated Cardiomyopathy at Sites of the DCM Consortium.

BACKGROUND: Clinical genetic evaluation for patients with dilated cardiomyopathy (DCM) is minimally implemented, and models of care are not well defined. To understand current genetic care for DCM, a systematic needs assessment was conducted. METHODS: Principal investigators of the DCM Consortium convened at the Summer Scientific Symposium in July 2025. An electronic needs assessment was conducted among the 24 principal investigators in advance to define current care models by evaluating which genetic evaluation components recommended by the Heart Failure Society of America were conducted, by whom, and the time required for each component. Descriptive statistics were generated to characterize model features. Focus group discussions explored barriers and facilitators to implementing genetic services. RESULTS: Four care models emerged from the principal investigator responses: model 1: Traditional-Synchronous (25%, n=6, requiring the most time per patient); model 2: Traditional-Asynchronous (33%, n=8); model 3: Externally Sourced (17%, n=4); and model 4: Physician/Advanced Practice Provider Conducted (25%, n=6, requiring the least time per patient). All models used genetic testing, whereas other components were implemented variably or not at all. Models 1 (15.7&#xb1;4.1) and 2 (15.4&#xb1;3.0) were rated more acceptable than model 4 (9.8&#xb1;2.9; model 1 versus model 4; P=0.027; model 2 versus model 4; P=0.023). Notably, 88% of principal investigators used genetic information for treatment decisions, including implantable cardioverter defibrillator placement (83%; n=20) and cardiac transplantation (63%; n=15). Major facilitator themes from focus group discussions included having a genetic counselor as part of the heart failure team and developing authoritative standards directing provision of DCM genetic services. Barrier themes included operational challenges, limited personnel, clinician under-recognition, need for new service delivery models, and billing/reimbursement. CONCLUSIONS: DCM genetic care models and components were highly variable across the 24 sites of the DCM Consortium, although all sites discussed similar factors that enable or hinder the implementation of genetic services for DCM. Understanding the basis of practice model variability may provide insight to yield more scalable care approaches.

cardiomyopathy, dilated

Laparoscopic Surgery Is Associated With Reduced Small Bowel Obstruction Risk After Colorectal Cancer Surgery: A Nationwide Cohort Study of 5458 Patients.

INTRODUCTION: Postoperative small bowel obstruction (SBO) is a major complication following colorectal cancer surgery, yet evidence-based prevention strategies remain unclear. We aimed to clarify site-specific risk factors for SBO and evaluate the effectiveness of laparoscopic surgery and adhesion prevention materials (APMs) in preventing SBO after colorectal cancer surgery. METHODS: This retrospective cohort study analyzed 5458 patients who underwent colorectal cancer surgery at 32 Japanese institutions between 2012 and 2014. The primary endpoint was the 5-year risk of SBO. We evaluated the effects of laparoscopic surgery, APM use, and stoma creation on SBO risk. Clinical variables included demographics, tumor site, operative approach, operative details, and postoperative complications. Hospital-level clustering was addressed using mixed-effects logistic regression. RESULTS: Overall SBO incidence was 5.2% (n&#x2009;=&#x2009;283). Rectal cancer had the highest risk, whereas all colonic sites except the descending colon showed significantly lower odds. Laparoscopic surgery was associated with a 42% reduction in odds (OR 0.58; 95% CI 0.45-0.74; p&#x2009;<&#x2009;0.001), with significant reductions in ascending (NNT&#x2009;=&#x2009;22.2, p&#x2009;=&#x2009;0.001) and sigmoid colon surgery (NNT&#x2009;=&#x2009;30.2, p&#x2009;=&#x2009;0.003). APMs showed no protective effect (OR 1.01; 95% CI 0.78-1.32; p&#x2009;=&#x2009;0.94). Stoma creation significantly increased SBO risk (OR 1.84; 95% CI 1.35-2.51; p&#x2009;<&#x2009;0.001). Secondary analysis identified reoperation and postoperative ileus as additional independent risk factors. DISCUSSION: Laparoscopic surgery was associated with reduced long-term SBO risk, with significant benefits in ascending and sigmoid colon surgery. APMs showed no measurable benefit. Stoma creation increased SBO risk, with no observed difference between ileostomy and colostomy.

adhesion prevention material

Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis.

Yersinia pestis is the bacterium responsible for plague, one of the deadliest diseases in history. To discover human genetic determinants of Y. pestis infection, we utilized nearly 1,000 genetically diverse lymphoblastoid cell lines in a cellular genome-wide association study. A nonsynonymous SNP, rs2282284 (N721S), in Fc receptor-like 3 (FCRL3) was associated with bacterial invasion of host cells (p = 9 &#xd7; 10-8). Overexpressed FCRL3 facilitated attachment and invasion of Y. pestis and colocalized with Y. pestis at attachment sites. These properties were variably conserved across the FCRL family, revealing an immunoglobulin-like domain and signaling motifs shared by FCRL3 and FCRL5 to be necessary for attachment and invasion. Direct binding to FCRL5 extracellular domain was confirmed, and B cells (the primary cells that express FCRLs) were preferentially invaded by Y. pestis. Thus, Y. pestis hijacks FCRL proteins, possibly taking advantage of an immune receptor to create a lymphocyte niche during infection.

Yersinia pestis

Urban soil multifunctionality and seasonal variability of carbon-linked soil traits.

Urban soils can play a significant role in climate change mitigation due to their capacity to store carbon (C) and support microbial biodiversity. In this context, this study evaluated the effects of different fertilization strategies on soil quality, greenhouse gas emissions, and microbial communities in two urban green areas located in the Campania region (Southern Italy) over a three-year period. Mineral fertilization (MIN), micronized vermicompost (CMP), micronized biochar (BCH), vermicompost plus biochar (CMP&#xa0;+&#xa0;BCH) were compared to an unfertilized control (CNT). The results showed that soil physicochemical properties were mainly influenced by site-specific conditions and temporal variability, whereas cation exchange capacity was the soil parameter most responsive to fertilization treatments. The QBS-ar index, used as an indicator of soil biological quality based on soil arthropods, was primarily affected by seasonality, with higher values recorded during spring-summer and no significant effects attributable to fertilization treatments. Vermicompost, BCH, and their combination were associated with lower net soil-vegetation CO2 fluxes and smaller temporal increases in the measured flux compared with the control and mineral fertilization treatments. All treatments exhibited a negative estimated annualized net C balance, indicating that, under the adopted temporal upscaling procedure, the estimated gaseous exchanges exceeded the annual increase in soil organic carbon stocks. Nevertheless, BCH showed the least negative estimated annualized balance. Analyses of microbial diversity revealed that bacterial and fungal communities were mainly shaped by temporal and seasonal factors, while fertilization treatments had limited effects on microbial diversity and community composition. Overall, the findings indicate that biochar showed the most favorable estimated carbon balance and the lowest measured net CO2 fluxes under the conditions investigated. However, its effects on soil biological and microbial properties were limited in the short term, and none of the tested treatments achieved net carbon sequestration. These results suggest that biochar may contribute to climate change mitigation as part of long-term, site-specific management strategies rather than as a standalone solution for improving soil multifunctionality.

Biochar

Catheter ablation for symptomatic atrial fibrillation (PVI-SHAM-AF): a randomised, double-blind, sham-controlled, multicentre trial.

BACKGROUND: Guidelines recommend catheter ablation for symptom relief in patients with atrial fibrillation. The aim of this trial was to ascertain whether catheter ablation improves atrial fibrillation-related quality of life more than a sham procedure. METHODS: PVI-SHAM-AF was a double-blind, multicentre, randomised trial conducted at nine study sites in Germany and Poland. Patients aged 18 years or older with symptomatic paroxysmal or persistent atrial fibrillation were randomly assigned in a 2:1 ratio to catheter ablation or a sham procedure using an automated online randomisation system with variable block sizes, stratified by trial site. The primary endpoint was the between-group difference in change from baseline to 6 months in the Atrial Fibrillation Effect on the Quality-of-life Questionnaire (AFEQT) summary score. The prespecified primary analysis was done in the intention-to-treat population and included all randomly assigned patients, with missing data handled by multiple imputation. This trial is registered with ClinicalTrials.gov (NCT05119231) and 12-month follow-up is ongoing. FINDINGS: Between Nov 12, 2021, and Nov 3, 2025, 1199 patients were invited to participate in the study and 262 patients consented and were randomly assigned: 173 patients to catheter ablation and 89 to sham. The median age was 67 years (IQR 62-73); 134 (51%) were female and 128 (49%) were male. Median follow-up was 184 days (IQR 181-191). At 6 months, the mean AFEQT summary score had increased from 61&#xb7;3 (SD 20&#xb7;1) to 81&#xb7;1 (16&#xb7;6) in the catheter ablation group and from 59&#xb7;2 (19&#xb7;0) to 74&#xb7;9 (19&#xb7;5) in the sham control group. The Hodges-Lehmann estimate of the between-group difference in change was 2&#xb7;6 (95% CI -2&#xb7;7 to 8&#xb7;0; p=0&#xb7;36). One death occurred in each group; neither was considered related to the study procedure. Serious adverse events adjudicated as related or possibly related to the study procedure occurred in ten unique patients: six patients in the catheter ablation group and four patients in the sham control group. One of these was an ischaemic stroke occurred in the sham control group. INTERPRETATION: Catheter ablation did not demonstrate superiority over a sham procedure for improving atrial fibrillation-related quality of life at 6 months. FUNDING: Helios Gesundheit (F&#xf6;rderung Leipziger Herzmedizin).

Humans