Evidence map›Paper›PMID 41807608›Full record

ArticleCommunications medicine2026

Antigen heterogeneity in the development and clinical validation of a multiplexed urine test for tuberculosis.

Tyler J Dougan, Shira Roth, Liangxia Xie, Sydney D'Amaddio, David R Walt

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Antigen 85B ofVaccines · 2026
    Review
  3. 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

5 authors.

Tyler J Dougan *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0668-3220
Shira Roth *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6112-1071
Liangxia XieWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5267-9631
Sydney D'AmaddioWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
David R WaltWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA. dwalt@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-5524-7348

Funding

Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) INV-009043 (formerly OPP1157033)
6 · The paper itself

Abstract

backgroundTuberculosis (TB) is one of the leading causes of death worldwide, even though it is curable using antibiotics. Most people who die of TB never begin treatment because diagnostics are insufficiently sensitive and accessible. We aimed to measure low-abundance biomarkers and diagnose TB in urine.

methodsWe developed and clinically validated a multiplex Single Molecule Array (Simoa) assay to detect TB in urine by measuring two TB biomarkers: lipoarabinomannan (LAM) and antigen 85B (Ag85B). Using antibodies that recognize different epitopes of LAM in a four-plex assay with three LAM and one Ag85B antibody pairs, we trained a model and demonstrated its performance in retrospective cohorts totaling 576 individuals from South Africa, Peru, Vietnam, and Cambodia, including a blinded test cohort (n = 215).

resultsHere we present an assay that classifies samples with 98% specificity, 45% sensitivity overall, and 58% sensitivity among people living with the human immunodeficiency virus (HIV).

conclusionsDifferent antibody pairs detecting different epitopes on LAM report diverging concentrations. We do not find that adding antibody pairs to detect different epitopes on LAM improves the assay's accuracy. Our assay is more sensitive than the existing AlereLAM lateral flow test for TB in HIV-positive individuals, uses safe and accessible urine samples, and represents a step towards an adjunctive diagnostic test to aid clinicians in starting treatment.

Identifiers

PMID41807608
PMCPMC13076864

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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.