Evidence map›Paper›PMID 34732329›Full record

ArticleLife sciences2021

IRAK4 inhibitor mitigates joint inflammation by rebalancing metabolism malfunction in RA macrophages and fibroblasts.

Sadiq Umar, Karol Palasiewicz, Michael V Volin, Brian Zanotti, Mina Al-Awqati, Nadera Sweiss, Shiva Shahrara

Open access · greenAbstract read
In one paragraph

Article in Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Sadiq UmarJesse Brown VA Medical Center, Chicago, IL 60612, United States of America; Department of Medicine, Division of Rheumatology, The University of Illinois at Chicago, IL 60612, United States of America.
Karol PalasiewiczJesse Brown VA Medical Center, Chicago, IL 60612, United States of America; Department of Medicine, Division of Rheumatology, The University of Illinois at Chicago, IL 60612, United States of America.
Michael V VolinDepartment of Microbiology and Immunology, Midwestern University, Downers Grove, IL 60515, United States of America.
Brian ZanottiDepartment of Microbiology and Immunology, Midwestern University, Downers Grove, IL 60515, United States of America.
Mina Al-AwqatiJesse Brown VA Medical Center, Chicago, IL 60612, United States of America; Department of Medicine, Division of Rheumatology, The University of Illinois at Chicago, IL 60612, United States of America.
Nadera SweissDepartment of Medicine, Division of Rheumatology, The University of Illinois at Chicago, IL 60612, United States of America.
Shiva ShahraraJesse Brown VA Medical Center, Chicago, IL 60612, United States of America; Department of Medicine, Division of Rheumatology, The University of Illinois at Chicago, IL 60612, United States of America. Electronic address: shahrara@uic.edu.
University of Illinois Chicago · USJesse Brown VA Medical Center · USMidwestern University · US

Funding

Identifying a novel pathway that regulates RA immunometabolismR01AI167155 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SHIVA SHAHRARA · 2022 to 2026
$2.9M
Engineering a unique antibody for patients with RAR41AI147697 · NIAID · ABWIZ BIO, INC. · PI MARUYAMA, TOSHIAKI, SHAHRARA, SHIVA · 2020 to 2021
$600k
BLRD VA I01 BX002286CSRD VA I01 CX002565NIAID NIH HHS R01 AI167155NIAID NIH HHS R41 AI147697
6 · The paper itself

Abstract

Recent studies show a connection between glycolysis and inflammatory response in rheumatoid arthritis (RA) macrophages (MΦs) and fibroblasts (FLS). Yet, it is unclear which pathways could be targeted to rebalance RA MΦs and FLS metabolic reprogramming. To identify novel targets that could normalize RA metabolic reprogramming, TLR7-mediated immunometabolism was characterized in RA MΦs, FLS and experimental arthritis. We uncovered that GLUT1, HIF1α, cMYC, LDHA and lactate were responsible for the TLR7-potentiated metabolic rewiring in RA MΦs and FLS, which was negated by IRAK4i. While in RA FLS, HK2 was uniquely expanded by TLR7 and negated by IRAK4i. Conversely, TLR7-driven hypermetabolism, non-oxidative PPP (CARKL) and oxidative phosphorylation (PPARγ) were narrowly dysregulated in TLR7-activated RA MΦs and FLS and was reversed by IRAK4i. Consistently, IRAK4i therapy disrupted arthritis mediated by miR-Let7b/TLR7 along with impairing a broad-range of glycolytic intermediates, GLUT1, HIF1α, cMYC, HK2, PFKFB3, PKM2, PDK1 and RAPTOR. Notably, inhibition of the mutually upregulated glycolytic metabolites, HIF1α and cMYC, was capable of mitigating TLR7-induced inflammatory imprint in RA MΦs and FLS. In keeping with IRAK4i, treatment with HIF1i and cMYCi intercepted TLR7-enhanced IRF5 and IRF7 in RA MΦs, distinct from RA FLS. Interestingly, in RA MΦs and FLS, IRAK4i counteracted TLR7-induced CARKL reduction in line with HIF1i. Whereas, cMYCi in concordance with IRAK4i, overturned oxidative phosphorylation via PPARγ in TLR7-activated RA MΦs and FLS. The blockade of IRAK4 and its interconnected intermediates can rebalance the metabolic malfunction by obstructing glycolytic and inflammatory phenotypes in RA MΦs and FLS.

Indexed as

Adjuvants, ImmunologicAnimalsArthritis, RheumatoidCells, CulturedFibroblastsHumansImiquimodInflammationInflammation MediatorsInterleukin-1 Receptor-Associated KinasesMacrophagesMiceMice, Inbred DBAAdjuvants, ImmunologicImiquimodInflammation MediatorsInterleukin-1 Receptor-Associated KinasesIRAK4 protein, humancMYCHIF1αIRAK4RA FLSRA macrophagesTLR7-induced arthritis

Identifiers

PMID34732329
PMCPMC10020992
OpenAlexW3210405003

What OpenQuestion 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 OpenQuestion graph.