Evidence map›Paper›PMID 17921069›Full record

ArticleTuberculosis (Edinburgh, Scotland)2008

Gene expression profiles of bronchoalveolar cells in pulmonary TB.

Bindu Raju, Yoshihiko Hoshino, Ilana Belitskaya-Lévy, Rod Dawson, Stanley Ress, Jeffrey A Gold, Rany Condos, Richard Pine, Stuart Brown, Anna Nolan and 2 more

Abstract read
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

31 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. No smoke without fire: the impact of cigarette smoking on the immune control of tuberculosis.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  5. Article
  6. Review
  7. Advances in molecular mechanisms of interaction betweenTranslational lung cancer research · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in cellular and infection microbiology · 2018
    Review
  13. Review
  14. Frontiers in cellular and infection microbiology · 2018
    Article
  15. Frontiers in immunology · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors at 3 institutions in 2 countries.

Bindu RajuDepartment of Medicine, Bellevue Chest Service and Division of Pulmonary and Critical Care Medicine, New York University School of Medicine, 550 First Avenue, NB 7N-24, New York, NY 10016, USA.
Yoshihiko Hoshino
Ilana Belitskaya-Lévy
Rod Dawson
Stanley Ress
Jeffrey A Gold
Rany Condos
Richard Pine
Stuart Brown
Anna Nolan
William N Rom
Michael D Weiden
Bellevue Hospital Center · USNew York University · USUniversity of Cape Town · ZA

Funding

ZOPOLRESTAT IN SUBJECTS W/ PERIPHERAL SYMMETRICAL DIABETIC POLYNEUROPATHYM01RR000096 · NCRR · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NOVIK, YELENA · 1985 to 2008
$34.8M
HIV/TB INTERACTION IN THE LUNGR01HL057879 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WEIDEN, MICHAEL D. · 1999 to 2008
$3.8M
HOST RESPONSE TO TB AND AIDSR01HL059832 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ROM, WILLIAM N · 1997 to 2006
$3.6M
Funtional Genomics of Interferon for TuberculosisR01HL068517 · NHLBI · PUBLIC HEALTH RESEARCH INSTITUTE · PI PINE, RICHARD · 2001 to 2005
$2.1M
CD80 and CD86 mediated innate immune response in sepsisK23HL084191 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NOLAN, ANNA · 2008 to 2013
$955k
NCRR NIH HHS M01 RR000096NCRR NIH HHS M01 RR00096NHLBI NIH HHS HL-57879NHLBI NIH HHS HL-59832NHLBI NIH HHS HL-68517NHLBI NIH HHS K23 HL084191NHLBI NIH HHS R01 HL057879NHLBI NIH HHS R01 HL059832NHLBI NIH HHS R01 HL068517
6 · The paper itself

Abstract

The host response to Mycobacterium tuberculosis includes macrophage activation, inflammation with increased immune effector cells, tissue necrosis, and cavity formation, and fibrosis, distortion, and bronchiectasis. To evaluate the molecular basis of the immune response in the lungs of patients with active pulmonary tuberculosis (TB), we used bronchoalveolar lavage to obtain cells at the site of infection. Affymetrix GeneChip microarrays and cDNA nylon filter microarrays interrogated gene expression in bronchoalveolar lavage (BAL) cells from 11 healthy controls and 17 patients with active pulmonary TB. We found altered gene expression for 69 genes in TB versus normal controls that included cell surface markers, cytokines, chemokines, receptors, transcription factors, and complement components. In addition, TB BAL cell gene expression patterns segregated into 2 groups: one suggestive of a T helper type 1 (Th1) cellular immune response with increased signal transducer and activator of transcription-4 (STAT-4), interferon-gamma (IFN-gamma receptor), and monokine induced by IFN-gamma (MIG) expression with increased IFN-gamma protein levels in BAL fluid; the other group displayed characteristics of Th2 immunity with increased STAT-6, CD81, and IL-10 receptor expression. We were able to demonstrate that a Th2 presentation could change to a Th1 pattern after anti-tuberculous treatment in 1 TB patient studied serially. These gene expression data support the conclusion that pulmonary TB produces a global change in the BAL cell transcriptome with manifestations of either Th1 or Th2 immunity.

Indexed as

AdultBronchoalveolar Lavage FluidCytokinesFemaleGene ExpressionHumansMaleMicroarray AnalysisMycobacterium tuberculosisTuberculosis, PulmonaryCytokines

Identifiers

PMID17921069
PMCPMC3151146
OpenAlexW2129240547

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.