Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (28): 7465-7474.doi: 10.12307/2026.815
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Fan Zhiliang1, Chai Yihui1, Chen Guanglei1, Li Qian1, Gu Chunsong2, Chen Yunzhi1, Li Wen1, Wu Damei1, Pu Xiang1
Received:2025-08-01
Revised:2025-12-11
Online:2026-10-08
Published:2026-02-26
Contact:
Pu Xiang, MD, Professor, School of Basic Chinese Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou Province, China
About author:Fan Zhiliang, MD candidate, School of Basic Chinese Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou Province, China
Chai Yihui, MD, Senior experimentalist, School of Basic Chinese Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou Province, China
Fan Zhiliang and Chai Yihui contributed equally to this article.
Supported by:CLC Number:
Fan Zhiliang, Chai Yihui, Chen Guanglei, Li Qian, Gu Chunsong, Chen Yunzhi, Li Wen, Wu Damei, Pu Xiang. Pathogenesis and potential therapeutic targets of idiopathic pulmonary fibrosis: analysis of data from a large-scale genome-wide association study[J]. Chinese Journal of Tissue Engineering Research, 2026, 30(28): 7465-7474.
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2.2 特发性肺纤维化对肠道微生物群的因果效应 通过逆方差加权法初步筛选出11种与特发性肺纤维化具有反向因果关系的肠道微生物群(图3,4),随后采用了20种不同的方法来排除异常值。经严格筛选有2种显著肠道微生物群被认为对特发性肺纤维化具有显著的反向因果效应,但与2.1结果无重叠,提示先前鉴定的3种肠道微生物群不存在与特发性肺纤维化的反向因果关系。 2.3 肠道微生物群对免疫细胞、炎症蛋白及血清代谢物的因果效应 为进一步探究肠道微生物群与特发性肺纤维化因果关系中可能存在的机制,该研究引入了233种代谢物、731种免疫细胞和91种炎症蛋白进行单变量孟德尔随机化分析。结果显示,Bacteroides faecis、Megasphaera、Pandoraea与以下生物标志物存在因果关系:代谢物方面包括18∶2亚油酸/总脂肪酸比值、中等粒径低密度脂蛋白中的游离胆固醇与磷脂;免疫细胞方面涉及包括CD4在多种调节性T细胞亚群中的表达水平、中央记忆CD4?CD8? T细胞的比例;炎症蛋白方面则以白细胞介素33为主。相关性分析显示,Bacteroides faecis与亚油酸比值及调节性T细胞中CD4表达均呈负相关;而Pandoraea在免疫细胞表达方面亦显示出负相关趋势;Megasphaera与白细胞介素33、低密度脂蛋白相关代谢物呈负相关,与中央记忆T细胞呈正相关。这些结果提示肠道微生物群可能通过调控代谢途径和免疫炎症通路影响特发性肺纤维化的发展(图5-8)。 2.4 免疫细胞、炎症蛋白及血清代谢物的中介效应 在该研究中,中央记忆CD4?CD8? T细胞占CD4?CD8? T细胞的比率(10.49%)以及中等粒径低密度脂蛋白中的游离胆固醇(1.26%)被鉴定为Megasphaera影响特发性肺纤维化风险的介导因子。 而Bacteroides faecis的中介结果显示CD4在CD28+ CD4+ T细胞(13.49%)的表达水平、CD4在CD4 Tregs(13.10%)的表达水平、CD4在活化的CD4 Tregs (11.53%)的表达水平、CD4在活化并分泌的CD4 Tregs (8.49%)的表达水平以及18∶2亚油酸/总脂肪酸比率(10.99%)均"
介导了其对特发性肺纤维化风险的预测。介导效应比率均超过8%,提示T细胞和脂肪酸可能是Bacteroides faecis影响特发性肺纤维化的关键介导因素。值得注意的是,这4种免疫细胞均与CD4 T细胞相关。此外,CD4在CD4 Tregs (10.09%)的表达水平、CD4在活化的CD4 Tregs (7.00%)的表达水平、CD4在活化并分泌的CD4 Tregs (6.82%)的表达水平介导了Pandoraea对特发性肺纤维化风险的影响。综合考虑结果认为CD4 T细胞在Bacteroides faecis、Megasphaera、Pandoraea与特发性肺纤维化的因果关系中起到了介导作用(表1)。 2.5 孟德尔随机化-汇总数据的孟德尔随机化-药物靶点交集分析及贝叶斯共定位分析 基于孟德尔随机化-汇总数据的孟德尔随机化的药靶分析研究结果发现,与Bacteroides faecis相关的基因表达产生了114个显著的孟德尔随机化结果,汇总数据的孟德尔随机化分析则识别出677个显著结果。将这些结果与4 479个药物靶点基因交集后,筛选出71个关键基因。对于Megasphaera,孟德尔随机化分析识别出99个显著结果,汇总数据的孟德尔随机化分析获得636个显著结果,交集后筛选出53个关键基因。对于Pandoraea,孟德尔随机化分析识别出112个显著结果,汇总数据的孟德尔随机化分析识别出657个显著结果,交集后筛选出65个关键基因(图9-11)。 贝叶斯共定位分析结果表明,Bacteroides faecis与YWHAG在rs1990453位点存在中等程度的共定位(PPH4 > 0.6);Megasphaera与CBR3在rs45496500位点共定位(PPH4 > 0.8);Pandoraea与KDM4C在rs3795733位点共定位(PPH4 > 0.8)(图12)。 2.6 治疗靶点及药物预测 评估药物-蛋白互作是判断基因能否作为潜在治疗靶点的重要途径,该研究借助DSigDB数据库预测了针对所筛选关键基因的潜在候选药物(预测结果见图13),对排名前10的组合进行了分子对接和可视化分析,结果提示大多数对接组合显示出良好的对接得分。基于分子对接结果推测YWHAG的潜在靶向药物为protoporphyrin IX,KDM4C的潜在靶向药物为GNF-Pf-2272,CBR3的潜在靶向药物为6-溴-2-[4-(3,5-二氧亚基-4-氮杂四环[5.3.2.08,10.02,6]十二-11-烯-4-基)苯基]喹啉-4-甲酸-1-氧亚基-1-苯基丙-2-基酯(5155877)(图14)。"
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