In one paragraphArticle in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
48 authors.
Robin FalleggerHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.ORCID 0000-0003-3264-6028 Sergio A Gomez-OchoaHeidelberg University Hospital, Department of General Internal Medicine and Psychosomatics, Heidelberg, Germany.ORCID 0000-0002-1396-5042 Charlotte BoysHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.ORCID 0000-0003-3955-5110 Ricardo Omar Ramirez FloresEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, U.K.ORCID 0000-0003-0087-371X Jovan TanevskiHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.ORCID 0000-0001-7177-1003 Evanthia PashosInternal Medicine Research Unit, Pfizer Inc., Cambridge, MA, United States.
Denis FeliersInternal Medicine Research Unit, Pfizer Inc., Cambridge, MA, United States.
Mary PiperInternal Medicine Research Unit, Pfizer Inc., Cambridge, MA, United States.
Jennifer A SchaubDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-8788-239X Xi ChenLewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-3782-9029 Rachel S G SealfonLewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-3007-4698 Rajasree MenonDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6280-9639 Viji NairDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-1657-954X Sean EddyDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8578-3443 Fadhl M AlakwaaDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-5349-7960 Petter BjornstadUniversity of Washington Medicine Diabetes Institute and Seattle Children's Research Institute, Seattle, WA 98109, USA.ORCID 0000-0002-5160-2947 Charles E AlpersDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195.ORCID 0000-0002-1859-1772 Andrew S BombackDivision of Nephrology, Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0001-5449-1667 M Luiza CaramoriDepartment of Endocrinology and Metabolism, Cleveland Clinic Foundation, Cleveland, OH, USA.ORCID 0000-0001-6082-5934 Agnes B FogoDepartment. Of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-3698-8527 Krzysztof KirylukDepartment of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University.ORCID 0000-0002-5047-6715 John F O'TooleDepartment of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic & Department of Molecular Medicine, Case Western Reserve University School of Medicine, Cleveland, OH.ORCID 0000-0001-5929-1947 Paul M PalevskyRenal-Electrolyte Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0002-7334-5400 Sylvia E RosasKidney and Hypertension Unit, Joslin Diabetes Center and Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0002-9903-4002 Avi Z RosenbergDepartment of Pathology, Johns Hopkins University School of Medicine Baltimore, MD, USA.ORCID 0000-0003-2356-950X John R SedorDepartment of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic & Department of Molecular Medicine, Case Western Reserve University School of Medicine, Cleveland, OH.ORCID 0000-0002-6780-9168 Sushrut S WaikarSection of Nephrology, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine.ORCID 0000-0003-4004-326X F Perry WilsonClinical and Translational Research Accelerator, Department of Medicine, Yale School of Medicine, New Haven, CT.ORCID 0000-0002-2633-2412 Laura BarisoniDepartment of Pathology, Division of AI & Computational Pathology, Department of Medicine, Division of Nephrology, Duke University, Durham, NC, USA.ORCID 0000-0003-0848-9683 Jonathan HimmelfarbBarbara T. Murphy Division of Nephrology, Samuel Bronfman Department of Medicine, Icahn School of Medicine at Mount Sinai.ORCID 0000-0002-3319-1224 Sanjay JainDivision of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0003-2804-127X Wenjun JuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-9136-8454 Olga G TroyanskayaLewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-5676-5737 Matthias KretzlerDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-4064-0582 Michael T EadonDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0003-3066-2876 Julio Saez-RodriguezHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.ORCID 0000-0002-8552-8976 Funding
Central Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1MKPMP Kidney Mapping and Atlas Project (KMAP)U01DK133090 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$10.4MKidney single cell and spatial molecular atlas project - KIDSSMAPU54DK134301 · NIDDK · WASHINGTON UNIVERSITY · PI JAIN, SANJAY · 2022 to 2025
$7.8MIntegrated spatial interrogation of cellular and molecular signatures of human kidney diseaseU01DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Tarek Maurice Ashkar, Pierre C Dagher · 2022 to 2026
$5.4MSingle cell multiomic and spatial atlas of acute and chronic kidney injuryU01DK114933 · NIDDK · WASHINGTON UNIVERSITY · PI Sanjay Jain · 2022 to 2026
$5.0MResource Development CoreU54DK137328 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Pierre C Dagher · 2023 to 2026
$4.5MSpatial Multi-Omics to Profile Metabolic Pathways for Kidney DiseaseU01DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Christopher R Anderton, Kumar Sharma · 2022 to 2026
$3.9MBoston Chronic Kidney Disease Research Biopsy CenterU01DK133092 · NIDDK · BOSTON MEDICAL CENTER · PI Sylvia E Rosas, Sushrut S. Waikar · 2022 to 2026
$3.5MMultimodal Imaging Mass Spectrometry and Spatial Omics for the Human KidneyU01DK133766 · NIDDK · VANDERBILT UNIVERSITY · PI Jeffrey M Spraggins · 2022 to 2026
$3.4MPREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)U01DK114907 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nir Hacohen, Jeffrey Benton Hodgin · 2022 to 2026
$3.2MUniversity of Illinois at Chicago KPMP CKD Recruitment SiteU01DK133081 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI JAMES P. LASH, Ana Catherine Ricardo · 2022 to 2026
$2.7MAKI Matched Phenotype Linked Evaluation with Tissue (AMPLE-Tissue)U01DK114866 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Chirag R Parikh · 2022 to 2026
$2.6MNIDDK NIH HHS U01 DK114866NIDDK NIH HHS U01 DK114907NIDDK NIH HHS U01 DK114908NIDDK NIH HHS U01 DK114920NIDDK NIH HHS U01 DK114923NIDDK NIH HHS U01 DK114933NIDDK NIH HHS U01 DK133081NIDDK NIH HHS U01 DK133090NIDDK NIH HHS U01 DK133091NIDDK NIH HHS U01 DK133092NIDDK NIH HHS U01 DK133093NIDDK NIH HHS U01 DK133095NIDDK NIH HHS U01 DK133097NIDDK NIH HHS U01 DK133113NIDDK NIH HHS U01 DK133766NIDDK NIH HHS U01 DK133768NIDDK NIH HHS U24 DK114886NIDDK NIH HHS U54 DK134301NIDDK NIH HHS U54 DK137328NIDDK NIH HHS UG3 DK114861NIDDK NIH HHS UH3 DK114861NIDDK NIH HHS UH3 DK114915NIDDK NIH HHS UH3 DK114926NIDDK NIH HHS UH3 DK114937
6 · The paper itselfAbstract
Acute kidney injury (AKI) and chronic kidney disease (CKD) are two interconnected clinical conditions, both defined by degree of functional impairment, but with heterogeneous clinical trajectories. Using new transcriptomic technologies, recent studies have described the cellular diversity in the healthy and injured kidney at the single cell level. Here, we used single nucleus transcriptomics to investigate the molecular diversity and commonalities in kidney biopsies from over 150 participants with AKI and CKD enrolled within the Kidney Precision Medicine Project (KPMP) and did so at the patient participant level. Using an unsupervised approach, we identified two multi-cellular programs associated with clinical and histopathological features of acute injury and chronic damage, respectively. We found that these programs are expressed across patients with AKI and CKD, supporting shared, rather than distinct, underlying molecular mechanisms. These programs capture tissue-level compositional changes towards adaptive and failed-repair states in tubular epithelial cells, as well as intra-cellular molecular changes characteristic of stress in all cell types. We identified subunits of the NFkB and AP-1 complexes, as well as members of the STAT family, as putative upstream regulators of the acute and chronic programs. We were able to map these continuous molecular measures of acute injury and chronic damage to urine and plasma protein profiles obtained at time of biopsy. These non-invasive protein signatures were predictive of renal outcomes in an independent cohort of 44 thousand participants from the UK biobank. In summary, unbiased identification of cellular programs in kidney disease biopsies defined molecular programs of injury cutting across conventional disease categorization and established a non-invasive molecular link to long term patient outcomes.
Indexed as
acute kidney injurychronic kidney diseasemulti-cellular programssingle cell transcriptomics
Identifiers
PMID41822697
PMCPMC12976899
What Socratic holds
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