Evidence map›Paper›PMID 32425558›Full record

ArticleInfection and drug resistance2020

Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics.

Yinzhong Shen, Jingna Xun, Wei Song, Zhenyan Wang, Jiangrong Wang, Li Liu, Renfang Zhang, Tangkai Qi, Yang Tang, Jun Chen and 2 more

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In one paragraph

Article in Infection and drug resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yinzhong ShenDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.ORCID 0000-0002-7604-5139
Jingna XunDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Wei SongDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Zhenyan WangDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Jiangrong WangDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Li LiuDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Renfang ZhangDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Tangkai QiDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Yang TangDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Jun ChenDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Jianjun SunDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.
Hongzhou LuDepartment of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People's Republic of China.ORCID 0000-0002-8308-5534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTuberculosis (TB) is the leading cause of mortality in individuals infected with human immunodeficiency virus (HIV), yet the methods for detecting PATIENTS AND

methodsA total of 200 Chinese HIV-positive patients were recruited, 100 each for HIV-nonTB group and HIV-TB group. Plasma proteomic profiles were analyzed for 50 patients each in both groups, using data-independent acquisition (DIA)-mass spectrometry-based proteomics. Differently expressed proteins were revealed with ridge regression analysis. Enzyme-linked immunosorbent assay (ELISA) analyses were performed for further validation in other 100 patients.

resultsDIA-mass spectrometry revealed 13 upregulated and 33 downregulated proteins in the HIV-TB group. AMACR (α-methylacyl-CoA racemase), LDHB (L-lactate dehydrogenase B chain), and RAP1B (Ras-related protein Rap-1b) were selected for building a diagnostic model, for which the receiver operation characteristic curve had under areas of 0.99 and 0.89 testing with proteomics data (sensitivity = 92%, specificity = 100%) and ELISA data (sensitivity = 76%, specificity = 92%), respectively.

conclusionThe combination of AMACR, LDHB, and RAP1B proteins may serve as a potential marker of TB in HIV-infected patients.

Indexed as

AIDS-related opportunistic infectionscoinfectiondiagnosisMycobacterium tuberculosisproteomeROC curve

Identifiers

PMID32425558
PMCPMC7187936

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.