Evidence map›Paper›PMID 31092735›Full record

ArticleJCI insight2019

Urine TNF-α and IL-9 for clinical diagnosis of acute interstitial nephritis.

Dennis G Moledina, F Perry Wilson, Jordan S Pober, Mark A Perazella, Nikhil Singh, Randy L Luciano, Wassim Obeid, Haiqun Lin, Michael Kuperman, Gilbert W Moeckel and 3 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
12.0field-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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
  9. Urinary CD4Scientific reports · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Role of Mast Cells and Their Mediators in Chronic Kidney Diseases.International journal of molecular sciences · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 3 countries.

Dennis G MoledinaSection of Nephrology, Department of Internal Medicine.
F Perry WilsonSection of Nephrology, Department of Internal Medicine.
Jordan S PoberDepartment of Pathology, and.
Mark A PerazellaSection of Nephrology, Department of Internal Medicine.
Nikhil SinghSection of Nephrology, Department of Internal Medicine.
Randy L LucianoSection of Nephrology, Department of Internal Medicine.
Wassim ObeidDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Haiqun LinDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Michael KupermanArkana Laboratories, Little Rock, Arkansas, USA.
Gilbert W MoeckelDepartment of Pathology, and.
Michael KashgarianDepartment of Pathology, and.
Lloyd G CantleySection of Nephrology, Department of Internal Medicine.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins University · USTranslational Research Institute · AUYale University · USArkana Laboratories · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2022
$16.8M
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
PATHOPHYSIOLOGY OF ACUTE AND CHRONIC RENAL DISEASET32DK007276 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S., CANTLEY, LLOYD G · 1986 to 2022
$9.3M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Identification of Non-Invasive Biomarkers and Indices for Diagnosis of Drug-Induced Acute Interstitial NephritisK23DK117065 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2018 to 2022
$920k
Mediators & prognostic value of muscle mass & function in chronic kidney diseaseK23DK097201 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2013 to 2017
$916k
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
AKI Matched Phenotype Linked Evaluation with Tissue (AMPLE-Tissue)UG3DK114866 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2017 to 2018
$710k
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS K23 DK097201NIDDK NIH HHS K23 DK117065NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK093770NIDDK NIH HHS R01 DK113191NIDDK NIH HHS T32 DK007276NIDDK NIH HHS UG3 DK114866
6 · The paper itself

Abstract

BACKGROUNDClinical diagnosis of acute interstitial nephritis (AIN) is challenging because of lack of a diagnostic biomarker and requires a kidney biopsy. We hypothesized that AIN is mediated by specific T cell subsets such that specific T cell cytokine levels could serve as biomarkers to distinguish AIN from other causes of acute kidney disease (AKD).METHODSWe enrolled consecutive sampling participants who underwent a kidney biopsy for AKD evaluation at 2 centers between 2015 and 2018. Three pathologists independently established AIN diagnosis through review of kidney biopsies. Through univariable and multivariable analysis of 12 selected urine and plasma cytokines, we identified 2 that were diagnostic of AIN.RESULTSOf the 218 participants, 32 (15%) were diagnosed with AIN by all 3 pathologists. Participants with AIN had consistently higher levels of urine TNF-α and IL-9 than those with other diagnoses, including acute tubular injury, glomerular diseases, and diabetic kidney disease, and those without any kidney disease. As compared with participants in the lowest quartile, we noted higher odds of AIN in participants in the highest quartiles of TNF-α levels (adjusted odds ratio, 10.9 [1.8, 65.9]) and IL-9 levels (7.5 [1.2, 45.7]) when controlling for blood eosinophils, leukocyturia, and proteinuria. Addition of biomarkers improved area under receiver operating characteristic curve over clinicians' prebiopsy diagnosis (0.84 [0.78, 0.91]) vs. 0.62 [(0.53, 0.71]) and a model of current tests (0.84 [0.76, 0.91] vs. 0.69 [0.58, 0.80]).CONCLUSIONSInclusion of urinary TNF-α and IL-9 improves discrimination over clinicians' prebiopsy diagnosis and currently available tests for AIN diagnosis.FUNDINGSupported by NIH awards K23DK117065, T32DK007276, K24DK090203, K23DK097201, R01DK113191, UG3-DK114866, P30DK079310; the Robert E. Leet and Clara Guthrie Patterson Trust; and American Heart Association award 18CDA34060118.

Indexed as

Acute DiseaseAcute Kidney InjuryAgedBiomarkersBiopsyCytokinesEosinophilsFemaleHumansInterleukin-9KidneyMaleMiddle AgedNephritis, InterstitialTumor Necrosis Factor-alphaBiomarkersCytokinesInterleukin-9Tumor Necrosis Factor-alphaCytokinesDiagnosticsInflammationNephrologyT cells

Identifiers

PMID31092735
PMCPMC6542610
OpenAlexW2945207519

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.