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Estimating Rhizobial Fitness During Legume Symbiosis: Enriching Viable Undifferentiated Bacteria from Root Nodules.

Advances in understanding the evolutionary ecology of the rhizobia-legume mutualism have been constrained by methodological limitations in efficiently measuring relative strain frequencies alongside measurements of absolute population sizes of rhizobia living in nodules. To examine strain competition in natural and agricultural ecosystems that harbor multiple strains of rhizobia, an increasing number of manipulative and observational studies have recently begun to examine dozens or hundreds of strains simultaneously. Assessing the competitive fitness of multiple strains in legume nodules requires, first, processing pools of dozens to hundreds of nodules to overcome the stochasticity of nodule formation; second, focusing on the reproductively viable rhizobial population, since this trait represents rhizobia's reproductive success in nodules and is pivotal for evolutionary interpretations. Our approach has been optimized in the Medicago truncatula-Sinorhizobium meliloti system, where rhizobia induce the formation of indeterminate nodules that harbor two subpopulations: terminally-differentiated bacteroids and undifferentiated rhizobia that retain reproductive viability. This protocol has also been used for other legumes with terminally-differentiated bacteroids, such as pea and vetch, as well as for those with non-terminally differentiated bacteroids, such as soybean and cowpeas. The protocol we present enables rapid and reproducible homogenization of pools containing hundreds of nodules using a tissue homogenizer. We also enrich for undifferentiated rhizobia using two centrifugation steps: first, a low-speed centrifugation to deplete nodule debris and large, endoreduplicated, terminally-differentiated bacteroids, followed by a high-speed centrifugation to pellet the remaining undifferentiated rhizobia. The pellet can later be used for DNA extraction, followed by whole-genome or amplicon sequencing, and then downstream analysis to estimate strain fitness. Finally, we include an optional step for a reliable, reproducible system for nodule imaging, which is especially useful for quantifying nodule abundance and studying morphological variation. ​.

Symbiosis↗

Standardized Xenograft Models for Preclinical Cancer Research.

Xenograft models are the principal in vivo platform of preclinical oncology and the most established experimental link between cell culture and clinical investigation. From the carcinogen-exposed rabbit models of the early twentieth century through the current generation of humanized patient-derived xenograft (PDX) systems, these platforms have evolved in response to the demands of translational cancer research. This review critically examines the biological principles, methodological standards, and translational applications of the principal xenograft platforms in current use. Cell line-derived xenograft (CDX) models remain the most widely used and most cost-effective modality for preclinical efficacy testing, offering the reproducibility, scalability, and accessibility that have sustained their role across oncology drug development pipelines for decades. PDX models have emerged as the preferred platform for co-clinical trial design, predictive biomarker discovery, and personalized oncology applications, preserving the genomic landscape, intratumor heterogeneity, and histological architecture of the donor tumor across serial passages. The engraftment biology of PDX systems, including immunodeficient host strain selection, implantation site, tumor source, and passage biology, is reviewed, together with humanized and autologous humanized configurations that extend the platform to immune checkpoint inhibitors, bispecific T-cell engagers, and chimeric antigen receptor T (CAR-T) cell therapy evaluation. This review addresses preclinical-to-clinical translation as a function of immunological divergence, incomplete tumor microenvironment recapitulation, and standardization. Formal frameworks, including the PDX Model Minimal Information (PDX-MI) standard and the Minimal Information for Standardization of Humanized Mice (MISHUM), are examined alongside global biobank infrastructure and emerging AI-driven translational modeling approaches.

Animals↗

Preserving the Pineal Gland in Perinatal Mouse Brain Preparations.

The pineal gland, a neuroendocrine structure that secretes melatonin, forms from an anlage at the dorsal midline in the embryonic forebrain. At embryonic day (E) 14.5 in the mouse, a pineal diverticulum is seen out-pouching from the roof of the diencephalon between the paired telencephalic vesicles. This diverticulum is in close contact with overlying cartilage, meningeal, and vascular tissue. It is easily lost when the cranial vault is opened to extract the brain at late embryonic/ early postnatal stages. Despite its important neuroendocrine role, the early development of the pineal gland and the signaling mechanisms that regulate this process remain poorly understood, partly due to the difficulty of preserving this structure intact during embryonic stages of mouse brain development. This article presents an innovative dissection procedure that preserves the pineal gland while maintaining its structural integrity and its attachment to the roof of the diencephalon during brain isolation from embryonic stages through postnatal day (P) 7. The procedure is demonstrated using an E18.5 mouse brain and is therefore suitable for downstream applications requiring preservation of tissue architecture, including in situ hybridization, immunohistochemistry, and spatial transcriptomics. The protocol may also be used to isolate the developing pineal gland, thereby improving pineal-specific representation in transcriptomic and proteomic analyses, which is otherwise challenging because of its small size.

Animals↗

Role of Sanqi Baiji San in Mitigating Ethanol-Induced Gastric Epithelial Cell Injury via PI3K/AKT-related Signaling.

This work aimed to clarify the protective mechanism of Sanqi Baiji San (SQBJ) against ethanol-induced gastric epithelial cell injury and to explore its potential relevance to gastric ulcer (GU). Network pharmacology was used to screen SQBJ's active components (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform [TCMSP], Oral Bioavailability [OB] ≥ 20%, Drug-Likeness [DL] ≥ 0.1), map their targets (Universal Protein Resource [UniProt]), collect GU-related targets (GeneCards/OMIM/DrugBank), and analyze overlapping targets via Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment and molecular docking. Ethanol-injured Gastric Epithelial Cell Line-1 (GES-1) cells were treated with SQBJ or the PI3K inhibitor LY294002. CCK-8 was used to determine the optimal SQBJ concentration. Network pharmacology analyses identified 126 common targets enriched within PI3K/AKT/MAPK-related cascades and suggested potential interactions between principal SQBJ constituents and PI3K/AKT-related proteins. In ethanol-challenged cells, SQBJ alleviated cell injury by reducing inflammatory mediator release and oxidative stress, as evidenced by decreased intracellular reactive oxygen species and malondialdehyde levels. SQBJ restored mitochondrial membrane potential and ATP content and reduced apoptosis-associated changes in B-cell lymphoma-2, cleaved caspase-3, and Bcl-2-associated X protein levels. SQBJ also modulated PI3K/AKT- and MAPK-associated signaling markers. These protective effects were largely weakened by LY294002, suggesting that PI3K/AKT-related signaling is involved in SQBJ-mediated cytoprotection. These findings provide an in vitro mechanistic basis for the potential application of SQBJ in GU, although further validation in animal models of ethanol-induced gastric ulcer is required.

Ethanol↗

Integrated Network Pharmacology and Molecular Docking Analysis of Sishen Decoction Identifies Potential Targets and Pathways in Gout.

Gout is a disease characterized by hyperuricemia and the deposition of urate crystals in joints and soft tissues, leading to recurrent acute arthritis. Its increasing prevalence imposes substantial clinical and socioeconomic burdens. Sishen Decoction (SSD) has been used in the treatment of gout, but its potential molecular mechanisms remain unclear. This study applied an integrated network pharmacology and molecular docking approach to identify potential targets and signaling pathways associated with SSD in gout. Active compounds and corresponding targets of SSD were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), while gout-related targets were collected from the GeneCards and Online Mendelian Inheritance in Man (OMIM) databases. Overlapping targets were identified and used to construct a drug-component-target-disease network. A protein-protein interaction (PPI) network was established using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed, followed by molecular docking using the docking server analysis module. A total of 37 bioactive compounds were associated with 116 overlapping gout-related targets. The top hub targets included TP53, IL6, IL1B, TNF, AKT1, EGFR, CASP3, JUN, BCL2, and MMP9. GO analysis suggested that these targets are involved in gene expression regulation and signal transduction. KEGG enrichment analysis indicated significant associations with the mitogen-activated protein kinase (MAPK), phosphoinositide 3-kinase/protein kinase B (PI3K-Akt), interleukin-17 (IL-17), and tumor necrosis factor (TNF) signaling pathways. Molecular docking predicted favorable interactions between key compounds and hub targets, with all binding energies of ≤-5 kcal/mol. These computational findings provide potential mechanistic hypotheses for the action of SSD in gout and may support future experimental validation.

Molecular Docking Simulation↗

DNA-FISH Metaphase Spreads to Distinguish Extrachromosomal DNA from Homogeneously Staining Regions in Human Cancer Cell Lines.

Whole-genome sequencing identifies focal DNA amplifications with base-pair resolution but cannot determine whether amplified sequences reside on extrachromosomal DNA (ecDNA, also known as double minutes) or within chromosomally integrated homogeneously staining regions (HSRs). DNA fluorescence in situ hybridization (DNA-FISH) metaphase spreads remain the gold standard for distinguishing these amplification states at single-cell resolution. Here, we present a detailed protocol for DNA-FISH metaphase spreads using human cancer cell lines, encompassing cell culture, metaphase arrest, hypotonic treatment, fixation, chromosome spreading, fluorescent probe hybridization, and fluorescence imaging. The protocol incorporates intermediate quality-control steps to verify successful chromosome dispersion and optimize metaphase spread quality, making the workflow accessible to laboratories without specialized cytogenetics expertise. Results demonstrate clear visualization of ecDNA and HSR amplification states using locus-specific probes and illustrate common technical artifacts that can affect interpretation. This protocol provides a robust and reproducible approach for studying the structural organization of oncogene amplification in cancer cells.

Humans↗

LINC01871-Mediated Sensitivity to Cyclin-Dependent Kinase 4/6 Inhibitors in Human Breast Cancer.

Breast cancer remains the most frequently diagnosed malignancy in women, and resistance to cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors limits long-term treatment efficacy. This study aimed to identify long non-coding RNAs (lncRNAs) associated with predicted sensitivity to CDK4/6 inhibitors and to investigate their biological functions in breast cancer. Transcriptomic data from The Cancer Genome Atlas (TCGA) and drug sensitivity data from the Genomics of Drug Sensitivity in Cancer 2 (GDSC2) database were integrated, and drug sensitivity was predicted using the oncoPredict algorithm. Candidate lncRNAs were identified through differential expression analysis, weighted gene co-expression network analysis, prognostic analysis, and machine learning. The biological functions of LINC01871 were subsequently evaluated using in vitro and in vivo experiments. Sixty-two lncRNAs associated with predicted sensitivity to ribociclib and palbociclib were identified, and six core lncRNAs were selected. LINC01871 showed the highest discriminatory performance for predicted drug sensitivity. Overexpression of LINC01871 was associated with increased sensitivity of breast cancer cells to ribociclib and palbociclib, inhibition of cell proliferation, promotion of apoptosis, and suppression of nuclear factor kappa B (NF-κB) signaling. Single-cell transcriptomic analysis demonstrated high LINC01871 expression in T cells and natural killer (NK) cells, while transcriptome-based immune infiltration analyses showed that high LINC01871 expression was associated with increased immune infiltration. These findings identify LINC01871 as a candidate biomarker of sensitivity to CDK4/6 inhibitors and demonstrate its tumor-suppressive effects in breast cancer. Further clinical and mechanistic studies are required to validate its predictive value and therapeutic relevance.

Humans↗

Human Wings Apart-Like Protein as a Serum Diagnostic Biomarker in Cervical Cancer: An Integrative Bioinformatics Analysis with Serum Validation.

Cervical cancer remains a major threat to women's health worldwide, and reliable serum biomarkers for early detection and therapeutic stratification remain limited. Human wings-apart-like (hWAPL) protein has been implicated in cervical carcinogenesis, but its diagnostic and clinical value has not been fully elucidated. To address this gap, this study integrated public multi-omics datasets, including The Cancer Genome Atlas, GEPIA2, the Human Protein Atlas, and single-cell transcriptomic data, to characterize hWAPL expression, clinicopathological associations, immune infiltration, co-expression networks, post-translational modifications, and drug sensitivity predictions. These findings were evaluated in an independent single-center serum cohort comprising 89 patients with histologically confirmed cervical squamous cell carcinoma and 89 healthy female controls. Serum hWAPL and squamous cell carcinoma antigen (SCC) levels were measured, and diagnostic performance was assessed by receiver operating characteristic curve analysis. In silico, hWAPL was broadly upregulated across multiple malignancies, particularly cervical cancer, enriched in malignant epithelial cells and monocytes/macrophages, and associated with shorter progression-free interval, predicted reduced sensitivity to cisplatin, paclitaxel, and 5-fluorouracil, and predicted sensitivity to MCL-1 and Wee1 inhibitors. In the serum cohort, hWAPL levels were significantly higher in patients than controls and discriminated cervical cancer with an area under the curve of 0.961, exceeding SCC alone. Combining hWAPL with SCC further improved diagnostic performance (area under the curve, 0.974; sensitivity, 93.3%; specificity, 95.5%). These findings suggest that serum hWAPL is a potential novel diagnostic biomarker for cervical squamous cell carcinoma whose performance is enhanced by SCC, whereas the observed associations with chemoresistance and immune microenvironment remodeling are hypothesis-generating and require experimental confirmation.

Humans↗

ARHGAP22 as a Potential Prognostic Biomarker in Clear Cell Renal Cell Carcinoma: Insights into Tumor Immunity and Co-Expression Networks.

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer and is characterized by substantial clinical heterogeneity, highlighting the need for reliable prognostic biomarkers. This study evaluated the expression pattern, prognostic relevance, and immune-related associations of ARHGAP22 in ccRCC using transcriptomic and clinical data from The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) cohort, together with external validation data and protein-expression information from the Human Protein Atlas (HPA). ARHGAP22 expression was compared between tumor and adjacent normal tissues, and its associations with overall survival, clinicopathological characteristics, tumor microenvironment scores, and estimated immune-cell fractions were assessed. Co-expression and functional-enrichment analyses were also performed to characterize potential biological associations. ARHGAP22 was significantly upregulated in ccRCC tissues at the transcriptomic level, with corresponding differences observed in immunohistochemical images. High ARHGAP22 expression was associated with shorter overall survival, advanced clinicopathological features, and higher ImmuneScore, StromalScore, and ESTIMATEScore values. CIBERSORT-based analysis showed that the high-expression group had higher estimated fractions of M2 macrophages and regulatory T cells and lower estimated fractions of naïve B cells, resting mast cells, and activated dendritic cells after false discovery rate correction. Functional-enrichment analyses linked ARHGAP22-associated genes to immune-related processes, cell migration, and chemokine- and cytokine-mediated signaling pathways. These findings suggest that ARHGAP22 may represent a potential prognostic and immune-related biomarker in ccRCC, although further independent clinical and experimental validation is required.

Humans↗

A Computational Workflow for Prioritizing Microbial Metabolite-Associated Host Genes in Constipation-Predominant Irritable Bowel Syndrome.

No standardized computational pipeline exists for systematically prioritizing microbial metabolite-associated host genes and protein-ligand complexes from publicly available chemical, genomic, and structural databases. This article describes an eight-stage workflow that accepts a user-defined set of gut microbiota-derived metabolites and produces a ranked shortlist of candidate metabolite-associated host genes, enriched biological pathways, and structurally prioritized protein-ligand complexes for experimental follow-up. The pipeline integrates (i) chemoinformatic metabolite profiling; (ii) multi-database candidate target prediction using protein-chemical interaction and ligand-based target-prediction tool and a molecular docking program; (iii) differential gene expression analysis of publicly available transcriptomic data; (iv) target-differentially expressed gene overlap; (v) protein-protein interaction network construction and pathway enrichment; (vi) molecular docking with a molecular docking program; (vii) 200 ns molecular dynamics simulation using a molecular dynamics engine with a protein force field used for molecular dynamics simulations; and (viii) MM-PBSA binding free-energy estimation. As a worked example, nine gut microbiota-derived or microbiota-modified metabolites representing short-chain fatty acids, bile acids, tryptophan-derived metabolites, and urolithin A were processed using the public IBS-C rectal mucosal transcriptomic dataset GSE36701. The workflow ranked 17 unique predicted metabolite-associated genes that were differentially expressed in this dataset. Docking, molecular dynamics simulation, and MM-PBSA analyses structurally prioritized five metabolite-protein complexes: lithocholic acid-VDR, lithocholic acid-NR1H4/FXR, ursodeoxycholic acid-NR1H4/FXR, tryptamine-HTR2A (simulated in an explicit 1-Palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid bilayer), and urolithin A-CASP3. The protocol is designed to be adaptable to other metabolite sets, disease transcriptomic datasets, and target classes; all outputs are hypothesis-generating computational predictions that require independent transcriptomic replication, protein-level validation, and functional ligand-response assays before causal or therapeutic conclusions can be drawn.

Irritable Bowel Syndrome↗

A Case Report of a Pedigree with Distal Hereditary Motor Neuropathy Caused by a Homozygous c.1124G>A Variant an the /*9Vaccinia-Related Kinase 1 Gene.

This study aimed to analyze the clinical phenotypes, neurophysiological characteristics, and pathogenicity of gene variants in a pedigree with distal hereditary motor neuropathy (dHMN) caused by VRK1 variants, and to provide evidence to support clinical diagnosis and genetic counseling for this disease. We report a Chinese consanguineous family with dHMN caused by a homozygous c.1124G>A variant in the VRK1 gene. Clinical and electrophysiological data of the proband were collected. Whole-exome sequencing (WES) and validation by Sanger sequencing were performed to identify the variant site, and pathogenicity interpretation was conducted in accordance with American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines. The proband was a 24-year-old male who presented with 2 years of progressive weakness and atrophy of the distal lower limbs, accompanied by slender upper limbs and no sensory disturbance. Electrophysiological examination showed decreased compound muscle action potential (CMAP) amplitude in motor nerves of both upper and lower limbs, indicating peripheral neurogenic damage, while sensory nerve conduction was normal. Genetic testing detected a homozygous c.1124G>A (p.Trp375Ter) variant in the VRK1 gene. His parents and elder sisters were heterozygous carriers, and the pedigree conformed to autosomal recessive inheritance. According to ACMG guidelines, this variant was classified as pathogenic (evidence: PVS1, PM2, PP1). The homozygous VRK1 c.1124G>A variant causes adult-onset dHMN, rather than pontocerebellar hypoplasia type 1A (PCH1A) as annotated in some genetic databases. This pedigree presents distinctive phenotypes, including slender upper limbs and diffusely decreased CMAP amplitudes in both upper and lower limbs, thereby expanding the clinical and genetic spectrum of VRK1-related dHMN in the Chinese population.

Humans↗

Potential Involvement of the IL-6/STAT3/MMP12 Signaling Axis in DMSO-Mediated Anti-Fibrotic Effects in Experimental Silicosis.

This study aims to investigate the anti-inflammatory and anti-fibrotic effects of dimethyl sulfoxide (DMSO) in a mouse model of silicosis, thereby exploring its potential therapeutic value. A mouse model of silicosis was established by intranasal instillation, and DMSO treatment was administered via intraperitoneal injection. The experiment was conducted over a period of 1 month. Lung tissues were collected from all mice; a subset was subjected to transcriptomic analysis, and differentially expressed genes were identified using the limma package. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses were conducted using ClusterProfiler to investigate gene functions and associated pathways. The remaining samples were subjected to histopathological assessment by hematoxylin and eosin staining (HE) and Masson's trichrome staining, while Western blot analysis was performed to validate transcriptomic results. This study suggests that DMSO may alleviate the fibrotic process in silicosis by modulating the IL-6/STAT3-MMP12 signaling axis. In the silica-induced silicosis mouse model, DMSO attenuated disease-associated weight loss and reduced collagen deposition. Transcriptomic analysis indicated that DMSO suppressed the activity of multiple fibrosis-related pathways and identified 51 key genes, including MMP12, which was significantly downregulated. Western blot analysis further confirmed reduced MMP12 expression, accompanied by markedly decreased levels of IL-6 and p-STAT3, suggesting the IL-6/STAT3 pathway may play a crucial role in regulating MMP12 expression. DMSO may attenuate inflammatory responses and pulmonary fibrosis in silicosis by inhibiting activation of the IL-6/STAT3 signaling pathway, thereby reducing MMP12 expression.

Animals↗

miR-197 Targets NLRP3 3' UTR and Correlates with NLRP3/Caspase-1/IL-18 Signaling in Hyperoxia-Stimulated Neonatal BPD Mouse Model.

Reduced circulating miR-197 was previously observed in preterm infants who later developed bronchopulmonary dysplasia (BPD), but its relationship with NLRP3 inflammasome signaling remains unclear. This study examined miR-197 expression, NLRP3 inflammasome-related markers, and the interaction between miR-197 and the NLRP3 3' UTR in a neonatal hyperoxia model. Neonatal C57BL/6J mice were exposed to 60% oxygen or room air from birth, and lung tissues were collected on postnatal days 1, 7, 14, and 21. Lung injury and alveolar development were assessed by histology, radial alveolar count, mean linear intercept, and lung wet-to-dry ratio. miR-197 and NLRP3 expression and NF-κB-, caspase-1-, and IL-18-related proteins were evaluated by RT-qPCR and Western blotting. A dual-luciferase reporter assay in MLE12 cells tested the interaction between miR-197 and the NLRP3 3' UTR. Hyperoxia increased lung wet-to-dry ratios and mean linear intercept, reduced radial alveolar count, and caused progressive alveolar simplification. miR-197 expression decreased, whereas NLRP3 mRNA increased, at all examined time points; NLRP3 protein and inflammasome-related protein changes were most evident from postnatal day 7 onward. The miR-197 mimic reduced luciferase activity in the wild-type but not mutant NLRP3 3' UTR reporter. These findings show that neonatal hyperoxia is associated with reduced miR-197 and increased NLRP3/inflammasome-related signaling and support a sequence-specific interaction between miR-197 and the NLRP3 3' UTR, although causal regulation in vivo requires further investigation.

Animals↗

CRISPR/Cas9-Mediated Site-Directed Mutagenesis of Genes in Klebsiella pneumoniae.

Constructing target-gene mutants with a common genetic background is crucial for elucidating gene function in antimicrobial resistance (AMR) research. Taking advantage of the single-guide RNA (sgRNA) and protospacer adjacent motif (PAM) sequence (3'-NGG) specificity of the Cas9 protein in the CRISPR/Cas9 (Clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9) system and codon degeneracy, the authors design a repair template that incorporates the desired point mutation while excluding the PAM sequence disrupted by a synonymous substitution, thereby preventing re-cleavage by CRISPR/Cas9. This method employs two available plasmids, pCasKP-apr and pSGKP-spe, offering straightforward operation and high screening specificity. As a result, the approach enables efficient generation of genetically defined mutant strains of Klebsiella pneumoniae (K. pneumoniae) and is readily adaptable to routine laboratory settings. Furthermore, the protocol minimizes off-target editing, shortens experimental timelines, reduces screening workload, and provides a reliable platform for investigating resistance mechanisms, validating candidate genes, and supporting functional genomics studies in clinically relevant bacterial pathogens.

Klebsiella pneumoniae↗

Effects of Fecal Microbiota Transplantation on Intestinal Microbial Characteristics and Clinical Phenotypes in Patients with Parkinson's Disease.

Alterations in the gut microbiota have been associated with Parkinson's disease (PD), but longitudinal microbial changes after fecal microbiota transplantation (FMT) and their clinical associations remain poorly understood. This single-center retrospective observational study included 6 patients with PD, stratified into high- and low-severity subgroups based on disease duration (>6 years vs ≤6 years). Thirty-six fecal samples were collected before FMT and monthly for five months afterward. Microbial diversity, community structure, taxonomic composition, and predicted functional profiles were assessed using 16S ribosomal RNA gene sequencing. Analyses included alpha and beta diversity, taxonomic abundance, linear discriminant analysis effect size, Tax4Fun2-based functional prediction, and Spearman rank correlations between microbial features and clinical indicators. Descriptive analyses indicated differences in microbial richness, diversity, community structure, and predicted functions between severity subgroups and across post-FMT time points. At baseline, the low-severity subgroup had greater microbial richness and diversity than the high-severity subgroup, with relatively higher abundances of taxa including Bifidobacterium and Lactobacillus. One month after FMT, richness and diversity increased from baseline in the high-severity subgroup, accompanied by changes in taxonomic composition. Both subgroups showed time-associated variation in microbial diversity and predicted Kyoto Encyclopedia of Genes and Genomes pathway enrichment after FMT. Predicted functions included carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, membrane transport, and signal transduction. Several operational taxonomic units correlated with indicators of motor impairment, constipation, sleep quality, functional status, and neuropsychiatric symptoms. FMT was therefore associated with longitudinal changes in gut microbial diversity, composition, and predicted functions, and specific microbial features were associated with motor and non-motor indicators. Given the small retrospective cohort, these findings are preliminary and warrant confirmation in larger controlled studies. Future studies should determine whether these microbial alterations are reproducible, persist beyond five months, reflect donor engraftment, and correspond to measurable clinical improvement after transplantation in PD.

Humans↗

Human-Centered Workspace Optimization: A 2 × 2 Factorial Study of Adjustable Furniture and Indoor Environmental Quality.

Small workspaces function as integrated systems, yet ergonomic furniture and indoor environmental conditions are usually evaluated separately. A six-site, assessor-blinded, randomized 2 × 2 factorial controlled study was conducted of two multicomponent packages-adjustable furniture and optimized indoor environmental quality (IEQ)-among 240 office workers for four weeks. Each group included 60 participants. Overall comfort in week 4 was highest for both packages (5.62 ± 0.53 versus 3.99 ± 0.60 with fixed furniture and basic IEQ). In a site-adjusted factorial model with HC3 robust standard errors, the adjustable-furniture effect was 0.86 points (95% confidence interval [CI], 0.62-1.09), the optimized-IEQ effect was 0.34 points (95% CI, 0.12-0.55), and their interaction was 0.44 points (95% CI, 0.14-0.74). Adjustable furniture improved postural comfort and reduced neck and lower back discomfort; optimized IEQ improved environmental comfort; both packages improved perceived productivity, satisfaction, and fatigue. The task-accuracy interaction did not remain significant after false-discovery-rate adjustment, and exploratory mediation and spline analyses did not support indirect or nonlinear effects. These results support coordinated ergonomic and environmental implementation while preserving distinct outcome pathways.

Interior Design and Furnishings↗

Protocol for Duplex Sequencing of Mitochondrial DNA in Single Human Oocytes.

Oocytes are densely packed with mitochondria, the energy-producing organelles that contain their own genome, mitochondrial DNA (mtDNA). Each cell contains multiple copies of mtDNA, with copy number varying among tissue types. Oocytes possess the highest mtDNA copy number, containing hundreds of thousands of mtDNA molecules per cell. Because mitochondria are inherited exclusively through the maternal lineage, accurate detection of mtDNA variants is essential for studies of inheritance, aging, and disease. The presence of multiple mtDNA copies allows wild-type and mutant molecules to coexist within the same cell, a condition known as heteroplasmy, in which low-frequency and de novo variants may occur at frequencies below 1%. Conventional next-generation sequencing (NGS) lacks sufficient accuracy to reliably distinguish these rare variants from errors introduced during library preparation and sequencing. Here, we present a protocol for enriching mtDNA from single human oocytes using Exonuclease V to remove linear DNA, followed by duplex sequencing library preparation for highly accurate mtDNA analysis. This workflow enables error-corrected sequencing of individual oocytes, facilitating reliable detection of low-frequency mtDNA variants and analysis of heteroplasmy and de novo mutagenesis. The protocol provides a reproducible approach for investigating mitochondrial genome variation in single oocytes using Illumina-compatible sequencing platforms.

Humans↗

Genetic Deletion of Cis-Regulatory Elements to Dissect the Function of the Non-coding Genome in human Preimplantation Models.

Cis-regulatory elements coordinate gene expression in a spatially and temporally controlled manner and contribute to the establishment of distinct cellular states during development. A substantial proportion of transcriptionally active cis-regulatory elements in primate embryos originated from ancient retroviral integrations into the germline. These endogenous retroviruses, also known as long terminal repeat retrotransposons, retain intrinsic regulatory activity and are often species-specific, making them strong candidates for regulating species-divergent aspects of embryonic development. Ethical and legal restrictions on human embryo research have historically limited direct investigation of gene regulation during human embryogenesis. Human naive pluripotent stem cells and three-dimensional stem cell-based blastocyst models provide alternative systems for studying early developmental processes. This protocol describes the CRISPR-Cas9-mediated deletion of endogenous retrovirus-derived cis-regulatory elements in human naive pluripotent stem cells. Preassembled Cas9 and single-guide RNA ribonucleoprotein complexes are delivered by nucleofection, followed by single-cell cloning, PCR-based genotyping, Sanger sequencing, expansion, cryopreservation, and genomic stability assessment of the edited lines. The resulting wild-type, heterozygous, and homozygous or hemizygous deletion clones provide a platform for investigating the contribution of individual endogenous retrovirus-derived elements to gene regulation in human preimplantation models. This method enables direct functional interrogation of species-specific non-coding regulatory sequences and supports the study of transcriptional mechanisms involved in early human development.

Humans↗