Evidence map›Paper›PMID 31167967›Full record

ArticleJCI insight2019

Pretransplant transcriptomic signature in peripheral blood predicts early acute rejection.

Weijia Zhang, Zhengzi Yi, Chengguo Wei, Karen L Keung, Zeguo Sun, Caixia Xi, Christopher Woytovich, Samira Farouk, Lorenzo Gallon, Madhav C Menon and 11 more

Abstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. European Society of Organ Transplantation Consensus Statement on Testing for Non-Invasive Diagnosis of Kidney Allograft Rejection.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. 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

21 authors.

Weijia ZhangDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Zhengzi YiDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Chengguo WeiDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Karen L KeungDepartment of Medicine, Westmead Clinical School, The University of Sydney, Sydney, Australia.
Zeguo SunDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Caixia XiDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Christopher WoytovichDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Samira FaroukDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Lorenzo GallonDepartment of Medicine-Nephrology and Surgery-Organ Transplantation, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Madhav C MenonDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ciara MageeDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Nader NajafianDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Milagros D SamaniegoHenry Ford Hospital, Detroit, Michigan, USA.
Arjang DjamaliDivision of Nephrology, Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA.
Stephen I AlexanderDepartment of Medicine, Westmead Clinical School, The University of Sydney, Sydney, Australia.
Ivy A RosalesDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Rex Neal SmithDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Philip J O'ConnellDepartment of Medicine, Westmead Clinical School, The University of Sydney, Sydney, Australia.
Robert ColvinDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Paolo CravediDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Barbara MurphyDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Funding

Genomics of Chronic Renal Allograft RejectionU01AI070107 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MURPHY, BARBARA T. · 2006 to 2012
$9.4M
Translational Immunology Training ProgramT32AI078892 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Karen Leigh Edelblum, SERGIO A. LIRA · 2008 to 2026
$4.5M
Dichotomous roles of Shroom3 in Tubular cells and Podocytes in native and allograft kidneysR01DK122164 · NIDDK · YALE UNIVERSITY · PI Madhav C Menon · 2019 to 2026
$2.7M
NIAID NIH HHS T32 AI078892NIAID NIH HHS U01 AI070107NIDDK NIH HHS R01 DK122164
6 · The paper itself

Abstract

Commonly available clinical parameters fail to predict early acute cellular rejection (EAR, occurring within 6 months after transplant), a major risk factor for graft loss after kidney transplantation. We performed whole-blood RNA sequencing at the time of transplant in 235 kidney transplant recipients enrolled in a prospective cohort study (Genomics of Chronic Allograft Rejection [GoCAR]) and evaluated the relationship of pretransplant transcriptomic profiles with EAR. EAR was associated with downregulation of NK and CD8+ T cell gene signatures in pretransplant blood. We identified a 23-gene set that predicted EAR in the discovery (n = 81, and AUC = 0.80) and validation (n = 74, and AUC = 0.74) sets. Exclusion of recipients with 5 or 6 HLA donor mismatches increased the AUC to 0.89. The risk score derived from the gene set was also significantly associated with acute cellular rejection after 6 months, antibody-mediated rejection and/or de novo donor-specific antibodies, and graft loss in a cohort of 154 patients, combining the validation set and additional GoCAR patients with surveillance biopsies between 6 and 24 months (n = 80) posttransplant. This 23-gene set is a potentially important new tool for determination of the recipient's immunological risk before kidney transplantation, and facilitation of an individualized approach to immunosuppressive therapy.

Indexed as

Graft RejectionAdultBiomarkersFemaleHumansKidney TransplantationMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentTranscriptomeBiomarkersExpression profilingNephrologyNK cellsOrgan transplantationTransplantation

Identifiers

PMID31167967
PMCPMC6629121

What OpenQuestion holds

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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.