Evidence map›Paper›PMID 36018845›Full record

ArticlePloS one2022

Evaluation of circulating serum cathelicidin levels as a potential biomarker to discriminate between active and latent tuberculosis in Uganda.

Ester Lilian Acen, David Patrick Kateete, William Worodria, Ronald Olum, Moses L Joloba, Mudarshiru Bbuye, Irene Andia Biraro

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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Observational
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

7 authors at 2 institutions in 1 country.

Ester Lilian AcenDepartment of Physiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0001-7048-4643
David Patrick KateeteDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
William WorodriaPulmonary Division, Department of Medicine, Mulago National Referral Hospital, Kampala, Uganda.
Ronald OlumDepartment of Medicine, School of Medicine, College of Health Sciences Unit, Makerere University, Kampala, Uganda.
Moses L JolobaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Mudarshiru BbuyeMakerere Lung Institute College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-8635-2925
Irene Andia BiraroDepartment of Medicine, School of Medicine, College of Health Sciences Unit, Makerere University, Kampala, Uganda.
Makerere University · UGMulago Hospital · UG

Funding

Health Professions Education and training for strengthening the health system and services in UgandaR25TW011213 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KIGULI, SARAH · 2018 to 2022
$3.4M
FIC NIH HHS R25 TW011213PEPFARWellcome TrustWellcome Trust 084344
6 · The paper itself

Abstract

backgroundTuberculosis remains a major public health problem worldwide accounting for 1.4 million deaths annually. LL-37 is an effector molecule involved in immunity with both antimicrobial and immunomodulatory properties. The purpose of this study was to compare LL-37 circulatory levels among participants with active and latent tuberculosis and to determine its ability to discriminate between the two infectious states.

methodsA cross-sectional study was performed among 56 active tuberculosis patients, 49 latent tuberculosis individuals, and 43 individuals without tuberculosis infection. The enzyme-linked immunosorbent assay was used to assess LL-37 levels. Data analysis was performed using STATA software and Graph pad Prism version 8. Mann-Whitney U test was used for correlation between variables with two categories and the Kruskal-Wallis test for three or more categories.

resultsThe study had more female participants than males, with similar median ages across the three groups, 29.5, 25.0, and 23.0 years respectively. Active tuberculosis patients had significantly higher LL-37 levels compared to those with latent tuberculosis and without tuberculosis. The median/interquartile ranges were 318.8 ng/ml (157.9-547.1), 242.2 ng/ml (136.2-579.3), 170.9 ng/ml (129.3-228.3); p = 0.002 respectively. Higher LL-37 was found in the male participant with median/interquartile range, 424.8 ng/ml (226.2-666.8) compared to the females 237.7 ng/ml (129.6-466.6); p = 0.045. LL-37 had better discriminatory potential between active tuberculosis and no tuberculosis (AUC = 0.71, sensitivity 71.4% specificity = 69.8%) than with latent tuberculosis (AUC = 0.55, sensitivity = 71.4%, specificity = 44.9%). There was moderate differentiation between latent tuberculosis and no tuberculosis (AUC = 0.63, sensitivity = 44.9% specificity = 90.7%).

conclusionSignificantly higher LL-37 levels were observed among active tuberculosis patients than those without tuberculosis infection and were, therefore able to discriminate between active tuberculosis and other tuberculosis infectious states, especially with no tuberculosis. Further assessment of this biomarker as a screening tool to exclude tuberculosis is required.

Indexed as

Latent TuberculosisAntimicrobial Cationic PeptidesBiomarkersCathelicidinsCross-Sectional StudiesFemaleHumansMaleUgandaAntimicrobial Cationic PeptidesBiomarkersCathelicidins

Identifiers

PMID36018845
PMCPMC9416991
OpenAlexW4293155530

What OpenQuestion holds

Textmetadata
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.