Evidence map›Paper›PMID 42802277›Full record

ArticleNature communications2026

Spatial analysis reveals cellular microenvironments and mechanisms of inflammation and injury in acute interstitial nephritis.

Megan L Baker, Vijayakumar R Kakade, Tifanny Budiman, Marlene Weiß, Joseph M Cunningham, Sagar Sadarangani, Gabriel Lerner, Gilbert Moeckel, Avi Z Rosenberg, Chirag R Parikh and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Megan L BakerDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA. megan.baker@yale.edu.ORCID http://orcid.org/0000-0002-9042-9091
Vijayakumar R KakadeDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Tifanny BudimanDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Marlene WeißDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-9269-8295
Joseph M CunninghamDepartment of Applied & Computational Mathematics, Yale University, New Haven, CT, USA.
Sagar SadaranganiDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Gabriel LernerDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-0286-9597
Gilbert MoeckelDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Avi Z RosenbergDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Chirag R ParikhDivision of Nephrology, Department of Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-9051-7385
Yuval KlugerDepartment of Applied & Computational Mathematics, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-3035-071X
Dennis G MoledinaDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA. dennis.moledina@yale.edu.ORCID http://orcid.org/0000-0002-9537-9038
Lloyd G CantleyDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA. lloyd.cantley@yale.edu.ORCID http://orcid.org/0000-0002-8444-6469

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI GERALD I SHULMAN · 1993 to 2026
$44.0M
Resource Development CoreU54DK137331 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI JOSEF CORESH · 2023 to 2026
$4.3M
Biomarkers for acute interstitial nephritis in humansR01DK128087 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2021 to 2025
$2.9M
Defining the Pathogenesis and Prognosis of Human Acute Interstitial NephritisR01DK126815 · NIDDK · YALE UNIVERSITY · PI CANTLEY, LLOYD G · 2020 to 2024
$2.6M
Spatial Elucidation of Human Acute Kidney Injury and Chronic Kidney Disease using Imaging Mass CytometryU01DK133768 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY, Vijayakumar Raghurama Rao Kakade · 2022 to 2026
$1.7M
American Diabetes Association (ADA) 11-23-PDF-63NIDDK NIH HHS P30 DK045735NIDDK NIH HHS R01 DK126815NIDDK NIH HHS R01 DK128087NIDDK NIH HHS U01 DK133768NIDDK NIH HHS U54 DK137331U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30DK045735U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DK128087U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01DK133768U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54DK137331
6 · The paper itself

Abstract

Acute interstitial nephritis (AIN) is present in 15-20% of all acute kidney injury cases but lacks proven effective therapies beyond corticosteroids. Using high-resolution imaging mass cytometry and single-cell spatial transcriptomics to analyze human kidney biopsies with AIN, acute tubular injury (ATI), and reference tissue, we show that interferon-γ-induced CXCL9-CXCR3 signaling is markedly increased in AIN, with significantly more predicted interactions relative to ATI, dominated by homotypic T cell-T cell amplification networks concentrated in lymphoid aggregates. Tubular cells, predominantly VCAM1

Indexed as

Acute Kidney InjuryCellular MicroenvironmentInflammationNephritis, InterstitialAnimalsChemokine CXCL9CytokinesHumansInterferon-gammaKidney TubulesKidney Tubules, ProximalMaleReceptors, CXCR3Signal TransductionSpatial TranscriptomicsT-LymphocytesChemokine CXCL9CytokinesInterferon-gammaReceptors, CXCR3Vascular Cell Adhesion Molecule-1

Identifiers

PMID42802277
PMCPMC13616907

What OpenQuestion holds

Textmetadata
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.