Evidence map›Paper›PMID 29843631›Full record

ArticleBMC infectious diseases2018

Urine IP-10 as a biomarker of therapeutic response in patients with active pulmonary tuberculosis.

Song Yee Kim, Jungho Kim, Deok Ryun Kim, Young Ae Kang, Sungyoung Bong, Jonghee Lee, Suyeon Kim, Nam Suk Lee, Bora Sim, Sang-Nae Cho and 2 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Delamanid suppresses CXCL10 expressionFrontiers in immunology · 2022
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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.

Song Yee KimDivision of Pulmonary, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Jungho KimClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul, 03722, Republic of Korea.
Deok Ryun KimDevelopment and Delivery Unit, International Vaccine Institute, Seoul, 08826, Republic of Korea.
Young Ae KangDivision of Pulmonary, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Sungyoung BongClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul, 03722, Republic of Korea.
Jonghee LeeDepartment of Microbiology and Institute of Immunology and Immunological Disease, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Suyeon KimClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul, 03722, Republic of Korea.
Nam Suk LeeDivision of Pulmonary, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Bora SimDepartment of Microbiology and Institute of Immunology and Immunological Disease, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Sang-Nae ChoClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul, 03722, Republic of Korea.
Young Sam KimDivision of Pulmonary, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea. YSAMKIM@yuhs.ac.
Hyejon LeeClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul, 03722, Republic of Korea. hyejonlee@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior to clinical trials of new TB drugs or therapeutic vaccines, it is necessary to develop monitoring tools to predict treatment outcomes in TB patients. Urine interferon gamma inducible protein 10 (IP-10) is a potential biomarker of treatment response in chronic hepatitis C virus infection and lung diseases, including tuberculosis. In this study, we assessed IP-10 levels in urine samples from patients with active TB at diagnosis, during treatment, and at completion, and compared these with levels in serum samples collected in parallel from matched patients to determine whether urine IP-10 can be used to monitor treatment response in patients with active TB.

methodsIP-10 was measured using enzyme-linked immunosorbent assays in urine and serum samples collected concomitantly from 23 patients with active TB and 21 healthy adults (44 total individuals). The Mann-Whitney U test and Wilcoxon matched-pairs signed rank test were used for comparisons among healthy controls and patients at three time points, and LOESS regression was used for longitudinal data.

resultsThe levels of IP-10 in urine increased significantly after 2 months of treatment (P = 0.0163), but decreased by the completion of treatment (P = 0.0035). Serum IP-10 levels exhibited a similar trend, but did not increase significantly after 2 months of treatment in patients with active TB.

conclusionsUnstimulated IP-10 in urine can be used as a biomarker to monitor treatment response in patients with active pulmonary TB.

Indexed as

AdultAgedAged, 80 and overAntitubercular AgentsBiomarkers, PharmacologicalChemokine CXCL10Disease ProgressionFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPredictive Value of TestsPrognosisTreatment OutcomeTuberculosis, PulmonaryAntitubercular AgentsBiomarkers, PharmacologicalChemokine CXCL10CXCL10 protein, humanBiomarkerMonitoringTuberculosisUrine IP-10

Identifiers

PMID29843631
PMCPMC5975508

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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.