Evidence map›Paper›PMID 35025927›Full record

ArticlePloS one2022

Immune correlates of Mycobacterium Tuberculosis patients in Zambia stratified by HIV serostatus and level of immunity-a cross-sectional analytical laboratory based study.

Patrick Lungu, Evarist Njelesani, Thomas Sukwa, Owen Ngalamika, Sody Munsaka, William Kilembe, Shabir Lakhi, Peter Mwaba

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.5field-weighted citation impact, top 38% of its field
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, 5 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Patrick LunguDepartment of Internal Medicine, University of Zambia School of Medicine, Lusaka, Zambia.ORCID 0000-0002-6349-1885
Evarist NjelesaniFaculty of Medicine and Directorate of Postgraduate Studies, Lusaka Apex Medical University, Lusaka, Zambia.
Thomas SukwaFaculty of Medicine and Directorate of Postgraduate Studies, Lusaka Apex Medical University, Lusaka, Zambia.
Owen NgalamikaDepartment of Internal Medicine, School of Medicine, University of Zambia, Lusaka, Zambia.ORCID 0000-0002-0648-4128
Sody MunsakaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
William KilembeCenter for Family Health Research in Zambia, Lusaka, Zambia.
Shabir LakhiDepartment of Internal Medicine, University of Zambia School of Medicine, Lusaka, Zambia.
Peter MwabaFaculty of Medicine and Directorate of Postgraduate Studies, Lusaka Apex Medical University, Lusaka, Zambia.
University of Zambia · ZMLusaka Apex Medical University · ZMCentre for Infectious Disease Research in Zambia · ZM

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundPeople living with HIV (PLHIV) co-infected with tuberculosis (TB) have a distinct clinical presentation and poorer treatment outcomes compared to HIV-seronegative TB patients. Excluding low CD4 count, innate immune factors associated with TB are not fully elucidated. We, therefore, characterised and compared the expression of IL-6, TNF-α, IFN-γ, and IL-10 in whole blood of treatment naïve TB patients stimulated with heat-killed Mycobacterium tuberculosis stratified by HIV status and the level of CD4 count.

resultsWe recruited 39 HIV seropositive and 31 HIV seronegative TB patients. Median (IQR) age was 35(28-42) years and 31(25-36) years respectively, and a majority had pulmonary tuberculosis i.e. 38(95%) and 30(97%), respectively. The two groups were significantly different in the distribution of CD4 count, 563 [465-702.5 cells/mm3] vs 345 [157-483 cell/mm3] in HIV negative vs HIV positive respectively p = <0.001. Post stimulation, the expression of IL-6 in HIV negative TB patients was significantly higher than in the HIV positive 16,757366 [8,827-23,686 pg/ml] vs. 9,508 [5,514-15,008 pg/ml], respectively; p = 0.0360. TNF-α and IFN-γ were highly expressed in HIV negative TB patients compared to the HIV positive though not statistically significant. We only observed higher expression of IL-6 in HIV negative patients in comparison to the HIV positive when stratified by level of CD4 counts as < 500 and ≥ 500 cell/mm3 for both cohorts. 21,953 [8,990-24,206 pg/ml] vs 9,505 [5,400-15,313 pg/ml], p value = 0.0585 in patients with CD4 count < 500 cell/mm3 and 13,168 [7,087-22,584 pg/ml] vs 10,413 [7,397-14,806 pg/ml], p value = 0.3744 for patients with CD4 count of ≥ 500 cell/mm3 respectively. We found a positive pairwise correlation between TNF-α -alpha and IL-6 in both HIV positive and HIV negative patients, r = 0.61 (95% CI 0.36-0.72; p < 0.0001) and r = 0.48 (95% CI 0.15-0.68; p = 0.005) respectively. The IFNγ/IL-10 ratio was higher in HIV negative when compared to HIV positive individuals, 0.052 [0.0-0.28] vs 0.007 [0-0.32] respectively; p = 0.05759. IL-6 independently reduced the probability of TB/HIV, Adjusted odds ratio 0.99, p value 0.007.

conclusionsThis study suggests that HIV seronegative TB patients have a higher pro-inflammatory response to MTB than HIV seropositive TB patients. Further, it also shows that the level of CD4 influences immunomodulation. The findings suggest that the difference in cytokine expression may be responsible for the distinct patterns of TB presentation between HIV positive and HIV negative patient.

Indexed as

AdultCD4 Lymphocyte CountCD4-Positive T-LymphocytesCoinfectionCross-Sectional StudiesFemaleHIV-1HIV InfectionsHumansInterferon-gammaInterleukin-10Interleukin-6MaleMycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryIL10 protein, humanIL6 protein, humanInterferon-gammaInterleukin-10Interleukin-6Tumor Necrosis Factor-alpha

Identifiers

PMID35025927
PMCPMC8758034
OpenAlexW4205284697

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.