Evidence map›Paper›PMID 40315556›Full record

ArticleJournal of infection and public health2025

Prominence of Mycobacterium tuberculosis biomarkers among sputum culture-negative clinic attendees, independent of Ultra status.

Yingda L Xie, Nisha Modi, Kattya Lopez, Robert Reiss, Jorge Robledo, Christie Eichberg, Nchimunya Hapeela, Elizabeth Nakabugo, Irene Anyango, Kiranjot Arora and 14 more

Abstract read
In one paragraph

Article in Journal of infection and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

24 authors.

Yingda L XieDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States. Electronic address: ylx1@njms.rutgers.edu.
Nisha ModiDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Kattya LopezDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Robert ReissDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Jorge RobledoDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Christie EichbergMedical University of South Carolina, Charleston, SC, United States.
Nchimunya HapeelaDivision of Medical Microbiology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.
Elizabeth NakabugoInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Irene AnyangoKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Kiranjot AroraDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Ronald OderoKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Judi Van HeerdenDivision of Medical Microbiology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.
Widaad ZemanayDivision of Medical Microbiology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.
Vaishnavi S KaipilyawarDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Samuel KennedyMedical University of South Carolina, Charleston, SC, United States.
Padmapriya BanadaDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Lydia NakiyingiInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Moses L JolobaInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Chad CentnerDivision of Medical Microbiology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.
Kimberly McCarthyUS Centers for Disease Control and Prevention, Kisumu, Kenya.
Jerrold EllnerDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Padmini SalgameDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
David AllandDepartment of Medicine and Public Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, United States.
Susan E DormanMedical University of South Carolina, Charleston, SC, United States.

Funding

Accuracy of the Xpert Ultra for Diagnosis of Pulmonary TuberculosisR01AI129411 · NIAID · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ALLAND, DAVID, DORMAN, SUSAN E · 2017 to 2020
$4.5M
Exploring the Early Tuberculosis Spectrum Through Highly-Sensitive Mtb DNA DetectionK22AI137320 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI XIE, YINGDA LINDA · 2019 to 2021
$298k
NIAID NIH HHS K22 AI137320NIAID NIH HHS R01 AI129411
6 · The paper itself

Abstract

backgroundHighly-sensitive molecular tests like GeneXpert MTB/RIF Ultra improve detection of paucibacillary pulmonary tuberculosis (TB) but occasionally detect Mycobacterium tuberculosis (Mtb) DNA in sputum from culture-negative individuals, with unclear significance. We hypothesized that Ultra may be detecting culture-negative TB, and manifest in a higher prevalence of TB biomarkers compared to Ultra-negative/culture-negative ('sputum-negative') individuals.

methodsFrom 1200 symptomatic African adults undergoing evaluation for TB, we identified 66 with discordant results (Ultra-positive, culture-negative), and matched 52 sputum-negative (Ultra-negative, culture-negative) and 30 sputum-positive (Ultra-positive, culture-positive) participants. Over 12 months, participants were assessed for Mtb biomarkers (Mtb growth in augmented or follow-up sputum cultures, Mtb mRNA in baseline sputum, and symptomatic Ultra-positive after baseline) and TB-associated host transcriptional signatures.

resultsAt baseline, TB-associated biomarker(s) were detected in 51.5 % of sputum-discordant versus 59.6 % of sputum-negative participants (p = 0.46), with at least one Mtb biomarker in 16.7 % versus 26.9 % respectively (p = 0.26). Longitudinally, 26.5 % of untreated sputum-discordant versus 41.7 % of untreated sputum-negative participants had Mtb biomarkers (p = 0.17) despite most reporting symptom improvement. Notably, 30 % of untreated sputum-negative participants converted to Ultra-positive at month 2. One sputum-discordant and one sputum-negative participant developed culture-confirmed TB at follow-up.

conclusionTB bacterial and host biomarkers were prevalent and no different between sputum-discordant and sputum-negative participants, raising concern for a considerable population of undiagnosed culture-negative TB. These findings parallel new evidence of Mtb aerosolization from sputum-negative individuals and highlight a need for more comprehensive diagnostics that detect sputum culture-negative TB with respect to infectiousness, pathology, and risk of progression.

Indexed as

BiomarkersMycobacterium tuberculosisSputumTuberculosis, PulmonaryAdultDNA, BacterialFemaleHumansMaleMiddle AgedMolecular Diagnostic TechniquesYoung AdultBiomarkersDNA, BacterialCulture-negativeDiagnosisPaucibacillaryTuberculosisUltra

Identifiers

PMID40315556
PMCPMC13502097

What OpenQuestion holds

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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.