Evidence map›Paper›PMID 22732925›Full record

ArticleThe Journal of infectious diseases2012

Proteome-scale antibody responses and outcome of Mycobacterium tuberculosis infection in nonhuman primates and in tuberculosis patients.

Shajo Kunnath-Velayudhan, Amy L Davidow, Hui-Yun Wang, Douglas M Molina, Vu T Huynh, Hugh Salamon, Richard Pine, Gerd Michel, Mark D Perkins, Liang Xiaowu and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

45 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
  2. Review
  3. A proteome-wide atlas of humoral immunity toFrontiers in immunology · 2026
    Article
  4. Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  5. Review
  6. B Cell and Antibody Responses in Bovine Tuberculosis.Antibodies (Basel, Switzerland) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Differential levels of anti-Frontiers in medicine · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Serum proteomic analysis ofThe Journal of international medical research · 2020
    Article
  19. Article
  20. Review
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

14 authors at 10 institutions in 6 countries.

Shajo Kunnath-VelayudhanPublic Health Research Institute, New Jersey Medical School, 225 Warren St, Newark, New Jersey 07103, USA.
Amy L Davidow
Hui-Yun Wang
Douglas M Molina
Vu T Huynh
Hugh Salamon
Richard Pine
Gerd Michel
Mark D Perkins
Liang Xiaowu
Philip L Felgner
JoAnne L Flynn
Antonino Catanzaro
Maria L Gennaro
Antigen Discovery (United States) · USFoundation for Innovative New Diagnostics · CHInternational Center for Public Health · USChemical Synthesis Lab · SGInstitute of Public Health · INInstitute of Public Health · ALNewark Community Health Centers · USUniversity of California, Irvine · USUniversity of California, San Diego · USUniversity of Pittsburgh · US

Funding

Clinical Suspicion of TB: A Technology Assessment ToolR01AI053731 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CATANZARO, ANTONINO · 2003 to 2007
$2.4M
Novel Immunoassays for Mycobacteria Detection in Non-human PrimatesR24RR022907 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LUCIW, PAUL · 2006 to 2008
$1.8M
Proteome screening for tuberculosis outcome markersR21AI069135 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI GENNARO, MARIA LAURA · 2006 to 2007
$410k
Antibody profiles characteristic of tuberculosis stateR21AI063246 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI GENNARO, MARIA LAURA · 2005 to 2006
$364k
NCRR NIH HHS R24 RR022907NCRR NIH HHS RR022907NIAID NIH HHS AI053731NIAID NIH HHS AI063246NIAID NIH HHS AI069135NIAID NIH HHS R01 AI053731NIAID NIH HHS R21 AI063246NIAID NIH HHS R21 AI069135
6 · The paper itself

Abstract

backgroundBiomarkers of progression from latent Mycobacterium tuberculosis infection to active tuberculosis are needed. We assessed correlations between infection outcome and antibody responses in macaques and humans by high-throughput, proteome-scale serological studies.

methodsMycobacterium tuberculosis proteome microarrays were probed with serial sera from macaques representing various infection outcomes and with single-point human sera from tuberculosis suspects. Fluorescence intensity data were analyzed by calculating Z scores and associated P values. Temporal changes in macaque antibody responses were analyzed by polynomial regression. Correlations between human responses and sputum bacillary burden were assessed by quantile and hurdle regression.

resultsMacaque outcome groups exhibited distinct antibody profiles: early, transient responses in latent infection and stable antibody increase in active and reactivation disease. In humans, antibody levels and reactive protein numbers increased with bacillary burden. Responses to a subset of 10 proteins were more tightly associated with disease state than reactivity to the broader reactive proteome.

conclusionsIntegration of macaque and human data reveals dynamic properties of antibody responses in relation to outcome and leads to actionable findings for translational research. These include the potential of antibody responses to detect acute infection and preclinical tuberculosis and to identify serodiagnostic proteins for the spectrum of bacillary burden in tuberculosis.

Indexed as

AdultAnimalsAntibodies, BacterialBiomarkersHumansMacaca fascicularisMiddle AgedMonkey DiseasesMycobacterium tuberculosisProtein Array AnalysisProteomeProteomicsRegression AnalysisRetrospective StudiesTuberculosisAntibodies, BacterialBiomarkersProteome

Identifiers

PMID22732925
PMCPMC3491745
OpenAlexW2128222622

What OpenQuestion holds

Textmetadata
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.