Evidence map›Paper›PMID 29053921›Full record

ArticleACS nano2017

Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection.

Jongmin Park, Hsing-Ying Lin, Jean Pierre Assaker, Sangmoo Jeong, Chen-Han Huang, A Kurdi, Kyungheon Lee, Kyle Fraser, Changwook Min, Siawosh Eskandari and 9 more

Abstract read
In one paragraph

Article in ACS nano, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
–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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
  7. Review
  8. Discovery of Donor-Derived Exosomal DNA as an Exploratory Biomarker of Kidney Graft Rejection: A Cross-Sectional Study.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  9. Article
  10. Review
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Review
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

19 authors.

Hsing-Ying Lin
Jean Pierre AssakerTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Sangmoo Jeong
Chen-Han Huang
A KurdiTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Kyungheon Lee
Kyle Fraser
Changwook Min
Siawosh EskandariTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Sujit RoutrayTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Bakhos TannousExperimental Therapeutics and Molecular Imaging Laboratory and Department of Neurology, Neuro-Oncology Division, Massachusetts General Hospital , Boston, Massachusetts 02129, United States.
Reza AbdiTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Leonardo RiellaTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Anil ChandrakerTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.
Cesar M Castro
Ralph WeisslederDepartment of Systems Biology, Harvard Medical School , Boston, Massachusetts 02115, United States.ORCID 0000-0003-0828-4143
Jamil R AzziTransplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States.

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Transgenic CoreP30DK057521 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2000 to 2019
$31.4M
The role of microvesicles in giloma virotherapyP01CA069246 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAREST, ALAIN · 1996 to 2021
$30.9M
Novel Clickdyes for Biomedical SensingR01EB010011 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2010 to 2017
$3.1M
MAGNETIC NANOSENSORS FOR BIOMEDICAL ANALYSES OF MICROVESICLESR01HL113156 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2012 to 2016
$2.1M
Multiplexed analysis of exosomes in cancer nano therapyR01CA204019 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2020
$1.9M
Multiplexed exosome analyses with DNA barcodingR21CA205322 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2016 to 2017
$440k
NCI NIH HHS P01 CA069246NCI NIH HHS R01 CA204019NCI NIH HHS R21 CA205322NHLBI NIH HHS R01 HL113156NIBIB NIH HHS R01 EB010011NIDDK NIH HHS P30 DK043351NIDDK NIH HHS P30 DK057521
6 · The paper itself

Abstract

Kidney transplant patients require life-long surveillance to detect allograft rejection. Repeated biopsy, albeit the clinical gold standard, is an invasive procedure with the risk of complications and comparatively high cost. Conversely, serum creatinine or urinary proteins are noninvasive alternatives but are late markers with low specificity. We report a urine-based platform to detect kidney transplant rejection. Termed iKEA (integrated kidney exosome analysis), the approach detects extracellular vesicles (EVs) released by immune cells into urine; we reasoned that T cells, attacking kidney allografts, would shed EVs, which in turn can be used as a surrogate marker for inflammation. We optimized iKEA to detect T-cell-derived EVs and implemented a portable sensing system. When applied to clinical urine samples, iKEA revealed high level of CD3-positive EVs in kidney rejection patients and achieved high detection accuracy (91.1%). Fast, noninvasive, and cost-effective, iKEA could offer new opportunities in managing transplant recipients, perhaps even in a home setting.

Indexed as

Biosensing TechniquesExosomesExtracellular VesiclesFemaleGraft RejectionHumansInflammationKidneyKidney TransplantationMaleProteomicsT-Lymphocytesacute cellular rejectionbiosensorkidney transplantproteomicsurine exosomes

Identifiers

PMID29053921
PMCPMC6237084

What OpenQuestion holds

Textmetadata
LicenceTDM
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.