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用于检测与人类免疫缺陷病毒-1 相关的普遍或进展性结核病的血浆生物标志物。

Plasma Biomarkers to Detect Prevalent or Predict Progressive Tuberculosis Associated With Human Immunodeficiency Virus-1.

机构信息

Division of Epidemiology & Biostatistics, School of Public Health and Family Medicine.

Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Diseases and Molecular Medicine, Observatory, South Africa.

出版信息

Clin Infect Dis. 2019 Jul 2;69(2):295-305. doi: 10.1093/cid/ciy823.

Abstract

BACKGROUND

The risk of individuals infected with human immunodeficiency virus (HIV)-1 developing tuberculosis (TB) is high, while both prognostic and diagnostic tools remain insensitive. The potential for plasma biomarkers to predict which HIV-1-infected individuals are likely to progress to active disease is unknown.

METHODS

Thirteen analytes were measured from QuantiFERON Gold in-tube (QFT) plasma samples in 421 HIV-1-infected persons recruited within the screening and enrollment phases of a randomized, controlled trial of isoniazid preventive therapy. Blood for QFT was obtained pre-randomization. Individuals were classified into prevalent TB, incident TB, and control groups. Comparisons between groups, supervised learning methods, and weighted correlation network analyses were applied utilizing the unstimulated and background-corrected plasma analyte concentrations.

RESULTS

Unstimulated samples showed higher analyte concentrations in the prevalent and incident TB groups compared to the control group. The largest differences were seen for C-X-C motif chemokine 10 (CXCL10), interleukin-2 (IL-2), IL-1α, transforming growth factor-α (TGF-α). A predictive model analysis using unstimulated analytes discriminated best between the control and prevalent TB groups (area under the curve [AUC] = 0.9), reasonably well between the incident and prevalent TB groups (AUC > 0.8), and poorly between the control and incident TB groups. Unstimulated IL-2 and IFN-γ were ranked at or near the top for all comparisons, except the comparison between the control vs incident TB groups. Models using background-adjusted values performed poorly.

CONCLUSIONS

Single plasma biomarkers are unlikely to distinguish between disease states in HIV-1 co-infected individuals, and combinations of biomarkers are required. The ability to detect prevalent TB is potentially important, as no blood test hitherto has been suggested as having the utility to detect prevalent TB amongst HIV-1 co-infected persons.

摘要

背景

感染人类免疫缺陷病毒 (HIV)-1 的个体患结核病 (TB) 的风险很高,而预测和诊断工具仍然不够敏感。目前尚不清楚血浆生物标志物是否有潜力预测哪些 HIV-1 感染者可能发展为活动性疾病。

方法

在一项异烟肼预防性治疗的随机对照试验的筛选和入组阶段,共招募了 421 名 HIV-1 感染者,从 QuantiFERON Gold in-tube (QFT) 血浆样本中测量了 13 种分析物。在随机分组前采集 QFT 血样。将个体分为现患结核病、新发结核病和对照组。利用未刺激和背景校正后的血浆分析物浓度进行组间比较、监督学习方法和加权相关网络分析。

结果

与对照组相比,未刺激样本中现患和新发结核病组的分析物浓度较高。最大的差异见于 C-X-C 基序趋化因子 10 (CXCL10)、白细胞介素-2 (IL-2)、IL-1α、转化生长因子-α (TGF-α)。使用未刺激分析物的预测模型分析在控制与现患结核病组之间的区分最佳 (曲线下面积 [AUC] = 0.9),在新发与现患结核病组之间的区分较好 (AUC > 0.8),在控制与新发结核病组之间的区分较差。除了在控制与新发结核病组之间的比较之外,未刺激的 IL-2 和 IFN-γ 在所有比较中都处于或接近最高排名。使用背景校正值的模型表现不佳。

结论

单一血浆生物标志物不太可能区分 HIV-1 合并感染个体的疾病状态,需要结合使用生物标志物。检测现患结核病的能力可能很重要,因为迄今尚无血液检测被认为具有检测 HIV-1 合并感染人群中现患结核病的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f09/6603269/d7c1bb38217f/ciy823f0001.jpg

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