Evidence map›Paper›PMID 35608910›Full record

ArticleThe Journal of clinical investigation2022

Specific in situ inflammatory states associate with progression to renal failure in lupus nephritis.

Rebecca Abraham, Madeleine S Durkee, Junting Ai, Margaret Veselits, Gabriel Casella, Yuta Asano, Anthony Chang, Kichul Ko, Charles Oshinsky, Emily Peninger and 2 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. CD8Frontiers in immunology · 2026
    Review
  8. Lupus nephritis.Nature reviews. Disease primers · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. γδ T cells in immune-mediated kidney disease.European journal of immunology · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Rebecca AbrahamSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Madeleine S DurkeeSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Junting AiSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Margaret VeselitsSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Gabriel CasellaSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Yuta AsanoSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Anthony ChangDepartment of Pathology, University of Chicago, Chicago, Illinois, USA.
Kichul KoSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Charles OshinskyDivision of Rheumatology, University of Washington, Seattle, Washington, USA.
Emily PeningerSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Maryellen L GigerDepartment of Radiology, and.
Marcus R ClarkSection of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research.
Center for Rheumatology · USUniversity of Chicago · USUniversity of Washington · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI CHIEN-MIN KAO · 1985 to 2026
$122.1M
University of Chicago Autoimmunity Center of ExcellenceU19AI082724 · NIAID · UNIVERSITY OF CHICAGO · PI WILSON, PATRICK CHRISTOPHER · 2009 to 2023
$7.2M
Protected Radiomics Analysis Commons for Deep Learning in Biomedical DiscoveryS10OD025081 · OD · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2018 to 2018
$339k
High-Performance Computer Cluster for Image AnalysisS10RR021039 · NCRR · UNIVERSITY OF CHICAGO · PI NISHIKAWA, ROBERT M · 2007 to 2007
$230k
NCI NIH HHS P30 CA014599NCRR NIH HHS S10 RR021039NIAID NIH HHS U19 AI082724NIH HHS S10 OD025081
6 · The paper itself

Abstract

BACKGROUNDIn human lupus nephritis (LN), tubulointerstitial inflammation (TII) on biopsy predicts progression to end-stage renal disease (ESRD). However, only about half of patients with moderate-to-severe TII develop ESRD. We hypothesized that this heterogeneity in outcome reflects different underlying inflammatory states. Therefore, we interrogated renal biopsies from LN longitudinal and cross-sectional cohorts.METHODSData were acquired using conventional and highly multiplexed confocal microscopy. To accurately segment cells across whole biopsies, and to understand their spatial relationships, we developed computational pipelines by training and implementing several deep-learning models and other computer vision techniques.RESULTSHigh B cell densities were associated with protection from ESRD. In contrast, high densities of CD8+, γδ, and other CD4-CD8- T cells were associated with both acute renal failure and progression to ESRD. B cells were often organized into large periglomerular neighborhoods with Tfh cells, while CD4- T cells formed small neighborhoods in the tubulointerstitium, with frequency that predicted progression to ESRD.CONCLUSIONThese data reveal that specific in situ inflammatory states are associated with refractory and progressive renal disease.FUNDINGThis study was funded by the NIH Autoimmunity Centers of Excellence (AI082724), Department of Defense (LRI180083), Alliance for Lupus Research, and NIH awards (S10-OD025081, S10-RR021039, and P30-CA14599).

Indexed as

Kidney Failure, ChronicLupus NephritisCross-Sectional StudiesHumansInflammationKidneyUnited StatesAdaptive immunityAutoimmunityLupus

Identifiers

PMID35608910
PMCPMC9246394
OpenAlexW4281387664

What OpenQuestion holds

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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.