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广西HIV感染者与非HIV感染者合并肺部感染的宏基因组二代测序病原谱分析及与传统病原学检测方法的比较▲
Analysis of pathogen spectrum of pulmonary infections by metagenomic next-generation sequencing in HIV-infected and non-HIV-infected individuals in Guangxi and its comparison with conventional etiological detection methods

内科 页码:128-133

作者机构:1 南宁市第一人民医院中西医结合科,广西南宁市 530022;2 南宁市第四人民医院感染科,广西南宁市 530023;3 南宁市第一人民医院重症医学科,广西南宁市 530022

基金信息:南宁市科学研究与技术开发计划项目(20203052) 通信作者:钟娟

DOI:10.16121/j.cnki.cn45-1347/r.2026.02.02

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目的 比较宏基因组二代测序(mNGS)与传统病原学检测方法在人类免疫缺陷病毒(HIV)感染者及非HIV感染者肺部感染中的诊断价值,并分析两组患者的病原谱特征。方法 纳入HIV感染合并肺部感染患者(HIV感染组)与无HIV感染的肺部感染患者(非HIV感染组)各75例。分别采用mNGS(检测肺泡灌洗液)与传统病原学检测方法(检测肺泡灌洗液及血液标本)进行平行检测。比较两组患者的一般资料、炎症指标、病原谱分布,以及两种检测方法的病原体阳性检出率、混合感染检出率。结果 HIV感染组患者年龄、白细胞计数、中性粒细胞绝对值及C反应蛋白、降钙素原水平均低于非HIV感染组患者(均P<0.05);两组患者性别、淋巴细胞绝对值差异均无统计学意义(均P>0.05)。在HIV感染组中,mNGS的病原体阳性检出率高于传统病原学检测方法(93.33%比62.67%,P<0.05),混合感染检出率亦高于传统病原学检测方法(88.00%比42.67%,P<0.05)。mNGS检测结果显示,HIV感染组共检出46种病原体,非HIV感染组检出37种,两组共同检出18种病原体。其中,HIV感染组EB病毒、人巨细胞病毒、耶氏肺孢子菌、马尔尼菲篮状菌、流感嗜血杆菌及分枝杆菌的阳性检出率均高于非HIV感染组,非HIV感染组肺炎链球菌、嗜麦芽窄食单胞菌、屎肠球菌、铜绿假单胞菌、鲍曼不动杆菌、肺炎克雷伯菌及金黄色葡萄球菌的阳性检出率均高于HIV感染组(均P<0.05)。在混合感染模式上,HIV感染组以“病毒+真菌+细菌”三联组合为主(68.18%),非HIV感染组以“细菌+细菌”纯细菌组合为主(63.49%)。结论 HIV感染合并肺部感染患者病原谱以机会性病毒、真菌及多重混合感染为特征,无HIV感染者的肺部感染以常见细菌感染为主;mNGS在病原体阳性检出率、混合感染检出率上均优于传统病原学检测方法,对免疫低下人群的精准病原学诊断具有重要价值。

Objective To compare the diagnostic value of metagenomic next-generation sequencing (mNGS) and conventional etiological detection methods in pulmonary infections in human immunodeficiency virus (HIV)-infected individuals and non-HIV-infected individuals, and to analyze the characteristics of pathogen spectrum in the two groups. Methods Seventy-five HIV-positive patients with pulmonary infection (HIV-infected group) and 75 HIV-negative patients with pulmonary infection (non-HIV-infected group) were enrolled. Parallel tests were conducted using mNGS (for bronchoalveolar lavage fluid detection) and conventional etiological detection methods (for bronchoalveolar lavage fluid and blood specimen detections) respectively. General clinical data, inflammatory indicators, and pathogen spectrum distribution, as well as the positive pathogen detection rate and mixed infection detection rate of the two detection methods, were compared between the two groups. Results The age, white blood cell count, absolute neutrophil count, and levels of C-reactive protein and procalcitonin in the HIV-infected group were lower than those in the non-HIV-infected group (all P<0.05); there was no statistically significant difference in gender or absolute lymphocyte count between the two groups (all P>0.05). In the HIV-infected group, the positive pathogen detection rate of mNGS was higher than that of conventional etiological detection methods (93.33% vs 62.67%, P<0.05), and the mixed infection detection rate of mNGS was also higher than that of conventional etiological detection methods (88.00% vs 42.67%, P<0.05). Results of of mNGS identified 46 pathogens in the HIV-infected group and 37 pathogens in the non-HIV-infected group, with 18 pathogens detected in both groups. The positive detection rates of Epstein-Barr virus, human cytomegalovirus, Pneumocystis jirovecii, Talaromyces marneffei, Haemophilus influenzae, and mycobacteria in the HIV-infected group were higher than those in the non-HIV-infected group; in contrast, the non-HIV-infected group showed higher positive rates of Streptococcus pneumoniae, Stenotrophomonas maltophilia, Enterococcus faecium, Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, and Staphylococcus aureus (all P<0.05). In terms of mixed infection patterns, the HIV-infected group was dominated by triple infections of "virus + fungus + bacteria" (68.18%), whereas the non-HIV-infected group was mainly characterized by simple bacterial co-infections ("bacteria + bacteria", 63.49%). Conclusion Pulmonary infections in HIV-infected patients are characterized by a pathogen spectrum dominated by opportunistic viruses and fungi, and multiple mixed infections, while pulmonary infections in non-HIV-infected individuals are predominantly caused by common bacteria. mNGS is superior to conventional etiological detection methods in both positive pathogen detection rate and mixed infection detection rate, which is of great significance for accurate etiological diagnosis in immunocompromised populations. 

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