Evidence map›Paper›PMID 37314361›Full record

ArticleInfection and immunity2023

High Lethality of

Sean M Thomas, Andrew J Olive

Open access · hybridAbstract read
In one paragraph

Article in Infection and immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Diverse infection models demonstrate robust resistance ofbioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sean M ThomasDepartment of Microbiology and Molecular Genetics, College of Osteopathic Medicine, Michigan State University, East Lansing, Michigan, USA.
Andrew J OliveDepartment of Microbiology and Molecular Genetics, College of Osteopathic Medicine, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0003-3441-3113
Michigan State University · US

Funding

Regulators of IFN-gamma responses during Mycobacterium tuberculosis infectionR01AI165618 · NIAID · MICHIGAN STATE UNIVERSITY · PI Andrew Olive · 2022 to 2026
$2.6M
Defining resistance and tolerance mechanisms in hyper-susceptible mice during M. tuberculosis infectionR21AI148961 · NIAID · MICHIGAN STATE UNIVERSITY · PI OLIVE, ANDREW · 2020 to 2021
$423k
NIAID NIH HHS R01 AI165618NIAID NIH HHS R21 AI148961
6 · The paper itself

Abstract

Immune networks that control antimicrobial and inflammatory mechanisms have overlapping regulation and functions to ensure effective host responses. Genetic interaction studies of immune pathways that compare host responses in single and combined knockout backgrounds are a useful tool to identify new mechanisms of immune control during infection. For disease caused by pulmonary Mycobacterium tuberculosis (Mtb) infections, which currently lacks an effective vaccine, understanding the genetic interactions between protective immune pathways may identify new therapeutic targets or disease-associated genes. Previous studies have suggested a direct link between the activation of NLRP3-Caspase1 inflammasome and the NADPH-dependent phagocyte oxidase complex during Mtb infection. Loss of the phagocyte oxidase complex alone resulted in increased activation of Caspase1 and IL-1β production during Mtb infection, resulting in failed disease tolerance during the chronic stages of disease. To better understand this interaction, we generated mice lacking both

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryAnimalsCytokinesMiceOxidoreductasesPhagocytesCytokinesOxidoreductasesCaspase1genetic interactionsinflammasomeMycobacterium tuberculosisNADPH phagocyte oxidase

Identifiers

PMID37314361
PMCPMC10353354
OpenAlexW4380576602

What Socratic holds

Textmetadata
LicenceCC BY
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.