Evidence map›Paper›PMID 39333908›Full record

SynthesisBMC infectious diseases2024

CXCL9/CXCL10 as biomarkers the monitoring of treatment responses in Pulmonary TB patients: a systematic review and meta-analysis.

Zeyou Wei, Yuanjin Chen, Pengyan Dong, Zhihui Liu, Xiaomin Lai, Nan Wang, Hua Li, Qi Wang, Lan Tao, Ning Su and 2 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Zeyou Wei *State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Yuanjin Chen *State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Pengyan DongState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Zhihui LiuState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Xiaomin LaiState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Nan WangState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Hua LiState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Qi WangState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
Lan TaoState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Department of Tuberculosis, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, P.R. China.
Ning SuState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Department of Oncology, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, P.R. China.
Yu YangState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China. gzyangyu@126.com.
Fanrong MengState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China. rendong.mfr@163.com.

Funding

Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project 20231251Guangdong Medical Science and Technology Research Fund Project A2023284Guangdong Natural Science Foundation Project 2018A030313550, 2023A1515010461Guangzhou Health Science and Technology Project 20231A011051, 20241A011049Guangzhou Science and Technology Planning Project 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992the National Key Research and Development Program of China 2022YFC2304800
6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a persistent threat to global public health and traditional treatment monitoring approaches are limited by their potential for contamination and need for timely evaluation. Therefore, new biomarkers are urgently required for monitoring the treatment efficacy of TB.

methodsThis study aimed to elucidate the levels of CXCL10 and CXCL9 in pulmonary TB patients who underwent anti-TB treatment. The data was acquired from five databases, including PubMed, Ovid, Web of Science, Embase, and the Cochrane Library. A meta-analysis of CXCL10 data from all time points was conducted. Furthermore, a trend meta-analysis of temporal data of CXCL10 and CXCL9 from multiple time points was also performed.

resultsIt was revealed that patients who responded poorly to anti-TB treatment had higher serum levels relative to those who responded well (SMD: 1.23, 95% CI: -0.37-2.84) at the end of intensive treatment (2 months). Furthermore, heterogeneity was observed in these results, which might be because patients with a prior history of TB and different treatment monitoring methods than those selected in this study were also included. The analysis of alterations in CXCL10 and CXCL9 levels since the last collection time points indicated that their levels reduced with time.

conclusionIn summary, the study revealed that reductions in CXCL10 levels during the first two months of anti-TB treatment are correlated with treatment responses. Furthermore, decreasing levels of CXCL9 during the treatment suggest that it may also serve as a biomarker with a similar value to CXCL10. Future in-depth studies are thus warranted to further probe the relevance of CXCL10 and CXCL9 in monitoring the treatment efficacy of TB.

Indexed as

Antitubercular AgentsBiomarkersChemokine CXCL10Chemokine CXCL9Tuberculosis, PulmonaryHumansTreatment OutcomeAntitubercular AgentsBiomarkersChemokine CXCL10Chemokine CXCL9CXCL10 protein, humanCXCL9 protein, humanChemokine CXCL9Interferon-Inducible protein 10PTBTreatment responseTuberculosis

Identifiers

PMID39333908
PMCPMC11428339

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Registered trials

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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.