Evidence map›Paper›PMID 39364807›Full record

ArticleACR open rheumatology2024

Therapeutic JAK1 Inhibition Reverses Lupus Nephritis in a Mouse Model and Demonstrates Transcriptional Changes Consistent With Human Disease.

Rachel E Twomey, Stuart J Perper, Susan V Westmoreland, Swetha Srinivasan, Suzanne L Mathieu, Kristine E Frank, Jozsef Karman, Andrew J Long, William J Housley, Stephen H Clarke

Abstract read
In one paragraph

Article in ACR open rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Rachel E TwomeyAbbVie Bioresearch Center, Worcester, Massachusetts.ORCID https://orcid.org/0009-0007-1949-1670
Stuart J PerperAbbVie Bioresearch Center, Worcester, Massachusetts.
Susan V WestmorelandAbbVie Bioresearch Center, Worcester, Massachusetts.
Swetha SrinivasanAbbVie Bioresearch Center, Worcester, Massachusetts.
Suzanne L MathieuAbbVie Bioresearch Center, Worcester, Massachusetts.
Kristine E FrankAbbVie Inc., North Chicago, Illinois.
Jozsef KarmanAbbVie Bioresearch Center, Worcester, Massachusetts.
Andrew J LongAbbVie Bioresearch Center, Worcester, Massachusetts.
William J HousleyAbbVie Bioresearch Center, Worcester, Massachusetts.
Stephen H ClarkeAbbVie Bioresearch Center, Worcester, Massachusetts.

Funding

AbbVie
6 · The paper itself

Abstract

objectiveJanus kinase family members are essential for signaling by multiple cytokines, including many implicated in systemic lupus erythematosus (SLE) pathogenesis. To test whether inhibition of JAK1 signaling can be efficacious in SLE, we used a JAK1-selective inhibitor (ABT-317) and evaluated its ability to ameliorate disease in murine SLE.

methodsEfficacy of ABT-317 was evaluated using NZB/W-F

resultsABT-317 was efficacious when dosed prophylactically and prevented disease for up to two months after treatment cessation. When dosed therapeutically, ABT-317 quickly reversed severe proteinuria and restored saliva production, as well as diminished kidney and salivary gland inflammation. ABT-317-induced changes in glomerular morphology coincided with normalization of a human nephrotic gene signature, suggesting translatability to human lupus nephritis (LN).

conclusionJAK1 inhibition prevented and reversed kidney and salivary gland manifestations of murine lupus with long-lasting effects after treatment cessation. These data, along with the presence of JAK1 and nephrotic gene signatures in human LN glomeruli, suggest that a JAK1-selective inhibitor may be an effective therapeutic in the treatment of human SLE and LN.

Identifiers

PMID39364807
PMCPMC11638135

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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.