Evidence map›Paper›PMID 31809521›Full record

ArticlePLoS pathogens2019

IL-22 produced by type 3 innate lymphoid cells (ILC3s) reduces the mortality of type 2 diabetes mellitus (T2DM) mice infected with Mycobacterium tuberculosis.

Deepak Tripathi, Rajesh Kumar Radhakrishnan, Ramya Sivangala Thandi, Padmaja Paidipally, Kamakshi Prudhula Devalraju, Venkata Sanjeev Kumar Neela, Madeline Kay McAllister, Buka Samten, Vijaya Lakshmi Valluri, Ramakrishna Vankayalapati

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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  11. ILC3: a case of conflicted identity.Frontiers in immunology · 2023
    Review
  12. Early innate cell interactions withFrontiers in immunology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Deepak TripathiDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.
Rajesh Kumar RadhakrishnanDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.
Ramya Sivangala ThandiDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.
Padmaja PaidipallyDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.
Kamakshi Prudhula DevalrajuImmunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, Telangana, India.
Venkata Sanjeev Kumar NeelaImmunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, Telangana, India.ORCID 0000-0003-3847-0182
Madeline Kay McAllisterDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.ORCID 0000-0002-9541-784X
Buka SamtenDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.
Vijaya Lakshmi ValluriImmunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, Telangana, India.
Ramakrishna VankayalapatiDepartment of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America.ORCID 0000-0003-4812-0207
The University of Texas Health Science Center at Tyler · US

Funding

IFN-γ independent inhibition of MTB growth in human macrophagesR01AI123310 · NIAID · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI VANKAYALAPATI, RAMAKRISHNA · 2017 to 2020
$1.6M
NIAID NIH HHS R01 AI123310
6 · The paper itself

Abstract

Previously, we found that pathological immune responses enhance the mortality rate of Mycobacterium tuberculosis (Mtb)-infected mice with type 2 diabetes mellitus (T2DM). In the current study, we evaluated the role of the cytokine IL-22 (known to play a protective role in bacterial infections) and type 3 innate lymphoid cells (ILC3s) in regulating inflammation and mortality in Mtb-infected T2DM mice. IL-22 levels were significantly lower in Mtb-infected T2DM mice than in nondiabetic Mtb-infected mice. Similarly, serum IL-22 levels were significantly lower in tuberculosis (TB) patients with T2DM than in TB patients without T2DM. ILC3s were an important source of IL-22 in mice infected with Mtb, and recombinant IL-22 treatment or adoptive transfer of ILC3s prolonged the survival of Mtb-infected T2DM mice. Recombinant IL-22 treatment reduced serum insulin levels and improved lipid metabolism. Recombinant IL-22 treatment or ILC3 transfer prevented neutrophil accumulation near alveoli, inhibited neutrophil elastase 2 (ELA2) production and prevented epithelial cell damage, identifying a novel mechanism for IL-22 and ILC3-mediated inhibition of inflammation in T2DM mice infected with an intracellular pathogen. Our findings suggest that the IL-22 pathway may be a novel target for therapeutic intervention in T2DM patients with active TB disease.

Indexed as

AnimalsDiabetes Mellitus, Type 2HumansImmunity, InnateInterleukin-22InterleukinsLymphocytesMiceMice, Inbred C57BLMycobacterium tuberculosisTuberculosisInterleukin-22Interleukins

Identifiers

PMID31809521
PMCPMC6919622
OpenAlexW2993802592

What OpenQuestion 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 OpenQuestion graph.