Evidence map›Paper›PMID 20668240›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Dynamic antibody responses to the Mycobacterium tuberculosis proteome.

Shajo Kunnath-Velayudhan, Hugh Salamon, Hui-Yun Wang, Amy L Davidow, Douglas M Molina, Vu T Huynh, Daniela M Cirillo, Gerd Michel, Elizabeth A Talbot, Mark D Perkins and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 2 pooled it
11.2field-weighted citation impact, top 1% 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

156 citing papers in PubMed, 2 syntheses or guidelines pooled it, 248 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Latently and uninfected healthcare workers exposed to TB make protective antibodies againstProceedings of the National Academy of Sciences of the United States of America · 2017
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Immunodominant Tuberculosis Antigens Recognized by Human CD4Cold Spring Harbor perspectives in medicine · 2026
    Article
  9. Review
  10. Article
  11. Review
  12. Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  13. A proteome-wide atlas of humoral immunity toFrontiers in immunology · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. B Cell and Antibody Responses in Bovine Tuberculosis.Antibodies (Basel, Switzerland) · 2024
    Review

96 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 3 countries.

Shajo Kunnath-VelayudhanPublic Health Research Institute, New Jersey Medical School, Newark, NJ 07103, USA.
Hugh Salamon
Hui-Yun Wang
Amy L Davidow
Douglas M Molina
Vu T Huynh
Daniela M Cirillo
Gerd Michel
Elizabeth A Talbot
Mark D Perkins
Philip L Felgner
Xiaowu Liang
Maria L Gennaro
Rutgers New Jersey Medical SchoolAntigen Discovery (United States) · USFoundation for Innovative New Diagnostics · CHSan Raffaele University of Rome · ITUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable effort has been directed toward controlling tuberculosis, which kills almost two million people yearly. High on the research agenda is the discovery of biomarkers of active tuberculosis (TB) for diagnosis and for monitoring treatment outcome. Rational biomarker discovery requires understanding host-pathogen interactions leading to biomarker expression. Here we report a systems immunology approach integrating clinical data and bacterial metabolic and regulatory information with high-throughput detection in human serum of antibodies to the entire Mycobacterium tuberculosis proteome. Sera from worldwide TB suspects recognized approximately 10% of the bacterial proteome. This result defines the M. tuberculosis immunoproteome, which is rich in membrane-associated and extracellular proteins. Additional analyses revealed that during active tuberculosis (i) antibody responses focused on an approximately 0.5% of the proteome enriched for extracellular proteins, (ii) relative target preference varied among patients, and (iii) responses correlated with bacillary burden. These results indicate that the B cell response tracks the evolution of infection and the pathogen burden and replicative state and suggest functions associated with B cell-rich foci seen in tuberculous lung granulomas. Our integrated proteome-scale approach is applicable to other chronic infections characterized by diverse antibody target recognition.

Indexed as

Antibodies, BacterialAntibody FormationAntigens, BacterialBacterial ProteinsHost-Pathogen InteractionsHumansMycobacterium tuberculosisProteomeProteomicsTuberculosisAntibodies, BacterialAntigens, BacterialBacterial ProteinsProteome

Identifiers

PMID20668240
PMCPMC2930474
OpenAlexW2109030711

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.