Evidence map›Paper›PMID 31981609›Full record

ReviewInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2020

Genetics and evolution of tuberculosis pathogenesis: New perspectives and approaches.

Michael L McHenry, Scott M Williams, Catherine M Stein

Open access · greenAbstract readReview
In one paragraph

Review in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.6field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Frontiers in immunology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. SigE: A master regulator ofFrontiers in microbiology · 2023
    Review
  16. Article
  17. Analysis of real-time PCRThe Egyptian journal of medical human genetics · 2022
    Article
  18. Article
  19. Review
  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

3 authors at 1 institution in 1 country.

Michael L McHenryDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America.
Scott M WilliamsDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America; Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, United States of America. Electronic address: smw154@case.edu.
Catherine M SteinDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America; Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, OH, United States of America.
Case Western Reserve University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
Tuberculosis Prevention Research Unit /TBRU/-266095383N01AI095383 · NIAID · CASE WESTERN RESERVE UNIVERSITY · 2000 to 2005
$5.6M
Epigenetic & Post-Translational Mechanisms of Macrophage Resistance to Mycobacterium tuberculosis During HIV Co-InfectionR33AI138272 · NIAID · UNIVERSITY OF WASHINGTON · PI BOOM, W. HENRY, HAWN, THOMAS R · 2020 to 2022
$3.4M
NRSA Training CoreTL1TR002549 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI HARDING, CLIFFORD V · 2018 to 2022
$2.9M
Genetics of TB resistance in HIV positive subjectsR56AI130947 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI STEIN, CATHERINE MARIE, WILLIAMS, SCOTT MATTHEW · 2017 to 2017
$588k
NCATS NIH HHS TL1 TR002549NHLBI NIH HHS T32 HL007567NIAID NIH HHS N01 AI070022NIAID NIH HHS N01 AI095383NIAID NIH HHS R33 AI138272NIAID NIH HHS R56 AI130947NIGMS NIH HHS T32 GM007250
6 · The paper itself

Abstract

Tuberculosis is the most lethal infectious disease globally, but the vast majority of people who are exposed to the primary causative pathogen, Mycobacterium tuberculosis (MTB), do not develop active disease. Most people do, however, show signs of infection that remain throughout their lifetimes. In this review, we develop a framework that describes several possible transitions from pathogen exposure to TB disease and reflect on the genetics studies to address many of these. The evidence strongly supports a human genetic component for both infection and active disease, but many of the existing studies, including some of our own, do not clearly delineate what transition(s) is being explicitly examined. This can make interpretation difficult in terms of why only some people develop active disease. Nonetheless, both linkage peaks and associations with either active disease or latent infection have been identified. For transition to active disease, pathways defined as active TB altered T and B cell signaling in rheumatoid arthritis and T helper cell differentiation are significantly associated. Pathways that affect transition from exposure to infection are less clear-cut, as studies of this phenotype are less common, and a primary response, if it exists, is not yet well defined. Lastly, we discuss the role that interaction between the MTB lineage and human genetics can play in TB disease, especially severity. Severity of TB is at present the only way to study putative co-evolution between MTB and humans as it is impossible in the absence of disease to know the MTB lineage(s) to which an individual has been exposed. In addition, even though severity has been defined in multiple heterogeneous ways, it appears that MTB-human co-evolution may shape pathogenicity. Further analysis of co-evolution, requiring careful analysis of paired samples, may be the best way to completely assess the genetic basis of TB.

Indexed as

AnimalsArthritis, RheumatoidCell DifferentiationGeneticsHumansMycobacterium tuberculosisSignal TransductionTuberculosisGenetics of pathogenicityHost-pathogen co-evolutionTuberculosis

Identifiers

PMID31981609
PMCPMC7192760
OpenAlexW3002719304

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.