Biomedical subjects

Bing Li

Publications and source records attributed to Bing Li.

7 recordsLinked to original sources

PubMed2026

Deciphering the effects of sulfonamide antibiotics on denitrification from a metagenomic perspective: Inhibition of nitrite reduction and succession patterns of functional microorganisms.

Limited research has thoroughly elucidated the impact mechanisms of antibiotics on the denitrification process at the genomic and gene levels, which has hindered the optimization and development of nitrogen removal technology for antibiotic-containing swine wastewater. Lab-scale sequencing batch reactors were constructed in this study to treat synthetic wastewater containing different sulfonamides and nitrate. Investigations were carried out on denitrification performance, microbial community diversity, denitrifier succession patterns, and functional gene distribution. The stress of sulfonamides inhibited the nitrite reduction process, transforming complete denitrification into partial denitrification and causing significant nitrite accumulation. The average nitrogen removal efficiency in the treatment groups decreased from 81.0% ± 2.2-40.1% ± 6.1%. Alicycliphilus and Thauera were identified as the key taxa, accounting for 32.2% and 16.9% of all potential denitrifying bacteria, respectively. Although metagenome-assembled genomes (MAGs) from Thauera were enriched with genes encoding nitrate reductases (nap, nar) and nitrite reductases (nir), this genus preferentially utilized nitrate as an electron acceptor, resulting in the preferential nitrate reduction and subsequent nitrite accumulation. In contrast, Alicycliphilus MAGs developed tolerance to the sulfonamides stress during later stages, with concomitant enrichment of associated functional genes. They replaced Thauera to reemerge as the dominant group, thereby restoring complete denitrification. This study provides new insights into the regulatory mechanisms governing complete versus partial denitrification in nitrogen removal from antibiotic-containing wastewater.

Denitrifier succession↗

PubMed2026

Common Molecular Mechanisms and Candidate Drug Targets in Type 2 Diabetes Mellitus and Atherosclerotic Cardiovascular Disease.

This study examined the mechanisms underlying the comorbidity between type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD), while identifying potential therapeutic targets. Common differentially expressed genes (C-DEGs) between T2DM and ASCVD were extracted from the GSE78721 and GSE12288 datasets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, protein-protein interaction (PPI) network construction, hub gene identification, and Drug-Gene Interaction Database (DGIdb) analysis were conducted. The association between hub C-DEGs and immune-infiltrating cells was analyzed using the CIBERSORT method. Expression levels of hub C-DEGs were quantified through qRT-PCR and Western blot analyses. A total of 32 C-DEGs were identified, comprising 20 upregulated and 12 downregulated genes. C-DEGs were predominantly enriched in key pathways, including viral myocarditis, arrhythmogenic right ventricular cardiomyopathy, hypertrophic cardiomyopathy, and dilated cardiomyopathy. PPI analysis revealed 29 nodes and 39 edges, leading to the identification of eight hub C-DEGs (HSP90B1, PLAU, SLPI, TOP3A, NCF4, PRF1, TUBA1C, and CS) across both datasets. Furthermore, hub C-DEGs (TOP3A, SLPI, NCF4, PRF1, and PLAU) demonstrated significant correlations with immune-infiltrating cell levels. Drugs specifically targeting these hub C-DEGs present promising candidates for the treatment of T2DM and ASCVD. Additionally, the expression of hub C-DEGs at both mRNA and protein levels was validated in patients with T2DM and ASCVD. An integrated bioinformatics analysis facilitated the screening of candidate therapeutic targets, mechanisms, and drugs for T2DM and ASCVD, offering new insights into molecular therapies for these conditions.

Diabetes Mellitus, Type 2↗

PubMed2026

Oncogene SETDB1's dual role: driving tumor progression and immune escape.

Oncogene SETDB1, an H3K9 methyltransferase, drives tumorigenesis in various cancers. Using endometrial cancer (EC) as a model, we discovered SETDB1's dual mechanisms in driving EC tumorigenesis and mediating immune evasion. SETDB1 knockout (SETDB1-/-) tumor-bearing mice exhibited prolonged survival up to 100 days. Transcriptomic profiling of SETDB1-/- EC cells revealed decreased oncogene expression and increased tumor suppressor gene expression, which indicates that SETDB1 intrinsically promotes EC proliferation by regulating these downstream genes. SETDB1 repressed repeat elements and the interferon pathway, mediating immune evasion extrinsically by inhibiting anti-tumor macrophage infiltration. ChIP-seq analysis showed SETDB1 binding at pericentromeric regions on many chromosomes and numerous ZNFs. Loss of SETDB1 resulted in abnormal cell division. SETDB1-/- tumors displayed reduced proliferation markers (Ki67, pHH3) and increased macrophage infiltration. Mechanistically, SETDB1 promotes CD47 (a don't-eat-me signal) and represses CCL5 and CXCL9 (macrophage and T-cell recruiting chemokines), contributing to immune evasion. M1-like macrophages killed more SETDB1-/- cells in co-culture. Additionally, SETDB1 knockout in mouse EC cells reduced tumor growth in C57BL/6 mice, with increased macrophage and CD4 + T-cell infiltration. Our results indicate that elevated SETDB1 and its targets can predict higher tumor grade and worse survival, suggesting that targeting SETDB1 could be a promising therapeutic strategy for EC.

Animals↗

PubMed2026

Efficacy and Safety of iGlarLixi Versus IDegAsp by Baseline Age, Disease Duration and HbA1c in Chinese People With Type 2 Diabetes: Post Hoc Analyses of the Soli-D Study.

AIMS: To compare the efficacy and safety of insulin glargine 100 U/mL plus lixisenatide (iGlarLixi) with insulin degludec plus insulin aspart (IDegAsp) by baseline age, Type 2 diabetes (T2D) duration and glycated haemoglobin (HbA1c) in the Soli-D study. MATERIALS AND METHODS: In Soli-D, Chinese adults with T2D suboptimally controlled on oral antidiabetic drugs (OADs) were randomized to iGlarLixi or IDegAsp for 24 weeks. These post hoc analyses evaluated glycaemic efficacy, insulin dose, body weight and hypoglycaemia outcomes in subgroups defined by baseline age (< 65, ≥ 65 years), T2D duration (< 10, ≥ 10 years) and HbA1c (≥ 7% to ≤ 8% [≥ 53 to ≤ 64 mmol/mol], > 8% to ≤ 9% [> 64 to ≤ 75 mmol/mol], > 9% [> 75 mmol/mol]). RESULTS: Among 582 participants (iGlarLixi n = 291; IDegAsp n = 291), baseline age was < 65 years in 442 and ≥ 65 years in 140; T2D duration was < 10 years in 366 and ≥ 10 years in 216; and HbA1c was ≥ 7% to ≤ 8% in 205, > 8% to ≤ 9% in 209 and > 9% in 168. At Week 24, HbA1c reductions were greater with iGlarLixi versus IDegAsp, with no treatment-by-subgroup interactions for baseline age, T2D duration or HbA1c. Change in other glycaemic outcomes, insulin dose and body weight generally showed no interaction across subgroups. Total insulin daily doses during treatment and hypoglycaemia event rates were consistently lower with iGlarLixi versus IDegAsp in all subgroups. CONCLUSIONS: iGlarLixi provides improved glycaemic control at lower insulin doses with reduced risk of hypoglycaemia in Chinese adults with suboptimally controlled T2D on OADs, regardless of baseline age, disease duration or HbA1c.

Humans↗

PubMed2026

COMMD9-regulated endothelial cell abnormality-induced hypercoagulability is associated with Budd-Chiari syndrome.

BACKGROUND: Budd-Chiari syndrome (BCS) presents diagnostic and treatment challenges owing to its insidious onset. Genetic variants associated with BCS vary geographically; in Asian populations, the condition is primarily caused by membranous obstruction composed of endothelial cells (ECs). A better understanding of the genetic pathogenesis of membranous BCS may offer new insights into disease mechanisms. METHODS: This study employed whole-exome sequencing to identify candidate genes responsible for EC abnormalities in 485 patients with membranous BCS and 329 patients with vascular malformations (VaMs). Functional investigations were conducted to validate the selected genes in vitro and in vivo. RESULTS: Whole-exome data revealed that the frequency of variants in the vascular function-related KLHDC2 exceeded that of JAK2 in BCS. Knockdown of KLHDC2 promoted adhesion and suppressed proliferation of ECs. In addition, 92 genes enriched for rare variants overlapped between BCS and VaMs. Systems biology analysis revealed two gene clusters, including COMMD9, enriched in proteins intolerant to loss-of-function mutations. Furthermore, suppression of COMMD9 impaired EC migration and tube formation, inhibited subintestinal angiogenic sprouting in zebrafish, and elevated EC adhesion. Transcriptomic analysis linked COMMD9 to EC abnormalities via the PI3K-Akt pathway. Commd9 knockdown promoted venous hypercoagulability in vivo following drug or ligation-induced stenosis. CONCLUSIONS: These findings indicate that multiple rare genetic variants, particularly in COMMD9, are involved in the development of membranous BCS by regulating hypercoagulability induced by EC abnormalities. These findings may help guide future clinical research towards improved understanding and treatment of BCS.

Budd–Chiari syndrome↗

PubMed2026

Associations of Illness Perception, Resignation Coping, and Social Support With Self-Regulatory Fatigue in Patients With Type 2 Diabetes: A Cross-Sectional Study.

AIMS: To examine the associations among illness perception, resignation coping, social support, and self-regulatory fatigue (SRF) in patients with Type 2 diabetes mellitus. The study specifically explores whether resignation coping and social support exhibit indirect associations with SRF in the context of illness perception. DESIGN: A cross-sectional study. METHODS: From November 2024 to October 2025, a convenience sample of 302 adult patients with T2DM was recruited from a tertiary general hospital in China. Participants completed validated instruments with established psychometric properties, namely the Brief Illness Perception Questionnaire, the Medical Coping Modes Questionnaire, the Perceived Social Support Scale, and the Self-Regulatory Fatigue Scale. Statistical analyses included Spearman correlation and serial mediation analysis using the PROCESS Macro (Model 6) with bias-corrected bootstrapping. RESULTS: SRF was positively correlated with negative illness perception (r = 0.579, p < 0.01) and resignation coping (r = 0.612, p < 0.01), and negatively correlated with social support (r = -0.598, p < 0.01). Serial mediation analysis revealed that illness perception was associated with SRF through indirect pathways involving resignation coping and social support. Resignation coping and social support mediated the association between illness perception and self-regulatory fatigue, both individually and sequentially. CONCLUSIONS: Negative illness perception correlates with higher SRF. This observed correlation is additionally linked to indirect pathways involving resignation coping and lower social support. Collectively, these findings highlight a pattern of interrelated cognitive (illness perception), behavioural (resignation coping), and resource (social support) factors that are associated with self-regulatory fatigue in this cross-sectional study. IMPLICATIONS FOR THE PROFESSION: The findings offer a clear, evidence-based framework for nursing practice. They highlight the potential value of integrated assessment and intervention that simultaneously addresses patients' illness beliefs, maladaptive coping strategies, and social support systems, which are associated with lower SRF and better diabetes self-management. REPORTING METHOD: This study adheres to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: Patients participated solely as research participants by providing survey data. They were not involved in the study design, implementation, data analysis, interpretation, or manuscript preparation. All patients provided written informed consent prior to questionnaire completion.

Humans↗

PubMed2024

Contaminant-degrading bacteria are super carriers of antibiotic resistance genes in municipal landfills: A metagenomics-based study.

Municipal landfills are hotspot sources of antimicrobial resistance (AMR) and are also important habitats of contaminant-degrading bacteria. However, high diversity of antibiotic resistance genes (ARGs) in landfills hinders assessing AMR risks in the affected environment. More concerned, whether there is co-selection or enrichment of antibiotic-resistant bacteria and contaminant-degrading bacteria in these extremely polluted environments is far less understood. Here, we collected metagenomic datasets of 32 raw leachate and 45 solid waste samples in 22 municipal landfills of China. The antibiotic resistome, antibiotic-resistant bacteria and contaminant-degrading bacteria were explored, and were then compared with other environmental types. Results showed that the antibiotic resistome in landfills contained 1,403 ARG subtypes, with the total abundance over the levels in natural environments and reaching the levels in human feces and sewage. Therein, 49 subtypes were listed as top priority ARGs for future surveillance based on the criteria of enrichment in landfills, mobilizable and present in pathogens. By comparing to those in less contaminated river environments, we elucidated an enrichment of antibiotic-resistant bacteria with contaminant-degrading potentials in landfills. Bacteria in Pseudomonadaceae, Moraxellaceae, Xanthomonadaceae and Enterobacteriaceae deserved the most concerns since 72.2 % of ARG hosts were classified to them. Klebsiella pneumoniae, Acinetobacter nosocomialis and Escherichia coli were abundant multidrug-resistant pathogenic species in raw leachate (∼10.2 % of total microbiomes), but they rarely carried contaminant-degradation genes. Notably, several bacterial genera belonging to Pseudomonadaceae had the most antibiotic-resistant, pathogenic, and contaminant-degrading potentials than other bacteria. Overall, the findings highlight environmental selection for contaminant-degrading antibiotic-resistant pathogens, and provide significant insights into AMR risks in municipal landfills.

Metagenomics↗