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Table 3_Wilson’s disease-associated gut dysbiosis: novel insights into microbial functional alterations, virulence changes, and resistance markers.xlsx

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Table_3_Wilson_s_disease-associated_gut_dysbiosis_novel_insights_into_microbial_functional_alterations_virulence_changes_and_resistance_markers_xlsx/31181545
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BackgroundAlthough the gut microbiota is associated with a variety of metabolic, inflammatory, and neurological disorders through microbial dysbiosis, current studies on the gut microbiota in Wilson’s disease (WD) remain limited. Critical gaps exist in understanding the roles of key functional microbial factors in WD pathogenesis, which hinders the acquisition of mechanistic insights into this disease. ObjectiveThis study aims to characterize alterations in the gut microbiome associated with WD, with a particular emphasis on virulence factors (VFs) and antibiotic resistance genes (ARGs), as well as functional mobile genetic elements (MGEs), in order to elucidate their potential roles in disease progression and clinical manifestations. MethodsWe analyzed fecal samples from 37 patients with WD and 33 healthy controls (HCs) using metagenomic sequencing, with a specific focus on examining virulence gene profiles and antibiotic resistance patterns and MGE composition in relation to liver function markers. ResultsBeta diversity analysis revealed significant differences in the gut microbial community structure between patients with WD and HCs, and a distinct set of microbial taxa was identified that showed significant associations with clinical indicators. A gut microbial co-occurrence network identified key species playing central roles in the microbial community structure, including Prevotella stercorea, Firmicutes bacterium CAG 110, Bacteroides salyersiae, Lactococcus petauri, Streptococcus cristatus, Actinomyces sp. HMSC035G02, and Streptococcus viridans. Widespread functional dysbiosis was detected across multiple biological levels in patients with WD, with significant correlations identified between these microbial alterations and clinical indicators. Significant disruptions were identified in key metabolic pathways, including the Pentose Phosphate Pathway, Pyruvate Metabolism, and Starch and Sucrose Metabolism, which were associated with the dysregulation of carbohydrate-active enzymes (CAZymes). These alterations showed significant correlations with clinical markers of liver dysfunction (e.g., procollagen III N-terminal peptide PIIINP, aspartate transaminase/alanine transaminase AST/ALT). A total of 54 virulence factor (VF) genes exhibited differential abundance in WD, with 36 genes depleted and 18 enriched. Notably, these included colibactin genes (clbB, clbH) from Escherichia coli and type IV secretion system genes (aec19, pilB). These VFs were significantly associated with indicators of liver function (e.g., bilirubin levels) and coagulation abnormalities. Among the detected antibiotic resistance genes (ARGs), 21 exhibited disease-specific patterns in WD, notably tetQ (encoding tetracycline resistance), ErmB (conferring macrolide resistance), and cfxA6 (mediating cephamycin resistance). Furthermore, ARG profiles were associated with Bifidobacterium enrichment and showed significant correlations with lipid metabolism markers [e.g., triglycerides (TG), high-density lipoprotein cholesterol (HDL-C)]. Critically, we identified significant enrichment of 60 functional mobile genetic elements (MGEs) in WD, spanning categories involved in DNA replication/repair, phage activity, and conjugative transfer, indicating heightened genomic plasticity and horizontal gene transfer potential. Strikingly, correlation network analysis revealed strong and specific co-occurrence between key ARGs (e.g., ErmX) and defined suites of MGEs, suggesting MGE-facilitated dissemination of resistance determinants. ConclusionWilson’s disease (WD) patients exhibit significant alterations in gut microbial community structure and functional dysbiosis, wherein the enrichment of virulence genes (such as colibactin genes clbB/clbH) and the specific antibiotic resistance genes (such as tetQ and ErmB), and the activation of mobile genetic elements are closely associated with clinical indicators including liver function impairment, coagulation abnormalities, and lipid metabolism disorders.

背景:尽管肠道菌群(gut microbiota)可通过微生物失调(microbial dysbiosis)与多种代谢、炎症及神经系统疾病相关,但当前针对威尔逊病(Wilson’s disease, WD)肠道菌群的研究仍较为有限。目前学界对关键功能微生物因子在威尔逊病发病机制中的作用认知存在重大空白,这阻碍了对该疾病的机制性解析。 目的:本研究旨在表征与威尔逊病相关的肠道微生物组改变,重点关注毒力因子(virulence factors, VFs)、抗生素耐药基因(antibiotic resistance genes, ARGs)以及功能型可移动遗传元件(mobile genetic elements, MGEs),以阐明其在疾病进展与临床表现中的潜在作用。 方法:本研究采用宏基因组测序(metagenomic sequencing)技术,对37例威尔逊病患者与33例健康对照(healthy controls, HCs)的粪便样本进行分析,重点考察与肝功能指标相关的毒力基因谱、抗生素耐药模式及可移动遗传元件组成。 结果:β多样性分析(Beta diversity analysis)显示,威尔逊病患者与健康对照的肠道微生物群落结构存在显著差异,且鉴定出一组与临床指标显著相关的独特微生物类群。通过肠道微生物共现网络,明确了在群落结构中发挥核心作用的关键物种,包括粪普雷沃氏菌(Prevotella stercorea)、厚壁菌门细菌CAG 110(Firmicutes bacterium CAG 110)、萨氏拟杆菌(Bacteroides salyersiae)、彼塔尔乳球菌(Lactococcus petauri)、克里斯滕森链球菌(Streptococcus cristatus)、放线菌属菌株HMSC035G02(Actinomyces sp. HMSC035G02)以及草绿色链球菌(Streptococcus viridans)。威尔逊病患者在多个生物学层面均存在广泛的功能失调,且这些微生物改变与临床指标存在显著相关性。研究发现包括磷酸戊糖途径、丙酮酸代谢、淀粉与蔗糖代谢在内的关键代谢通路出现显著紊乱,且该现象与碳水化合物活性酶(carbohydrate-active enzymes, CAZymes)的失调相关。上述改变与肝功能异常的临床标志物(如III型前胶原N端肽PIIINP、天冬氨酸转氨酶/丙氨酸转氨酶AST/ALT)呈显著相关性。总计54个毒力因子基因在威尔逊病患者中呈现丰度差异,其中36个基因表达下调,18个基因表达上调。值得注意的是,这些基因包括大肠杆菌来源的colibactin基因(clbB、clbH)以及IV型分泌系统基因(aec19、pilB)。这些毒力因子与肝功能指标(如胆红素水平)及凝血异常显著相关。在检测到的抗生素耐药基因中,有21个在威尔逊病中呈现疾病特异性表达模式,尤以tetQ(编码四环素耐药性)、ErmB(介导大环内酯类耐药)及cfxA6(介导头孢霉素耐药)最为显著。此外,抗生素耐药基因谱与双歧杆菌(Bifidobacterium)的富集相关,并与脂质代谢标志物[如甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)]呈显著相关性。至关重要的是,本研究鉴定出60个功能型可移动遗传元件在威尔逊病患者中显著富集,涵盖DNA复制/修复、噬菌体活性及接合转移等类别,提示基因组可塑性与水平基因转移潜能升高。值得注意的是,相关性网络分析揭示了关键抗生素耐药基因(如ErmX)与特定可移动遗传元件组之间存在强烈且特异性的共现关系,表明可移动遗传元件可促进耐药决定子的传播。 结论:威尔逊病患者的肠道微生物群落结构存在显著改变,并伴随功能失调;其中毒力基因(如colibactin基因clbB/clbH)、特定抗生素耐药基因(如tetQ与ErmB)的富集,以及可移动遗传元件的激活,与肝功能损伤、凝血异常及脂质代谢紊乱等临床指标密切相关。
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2026-01-29
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