Evidence map›Paper›PMID 33857204›Full record

ArticlePloS one2021

Deep sequencing of DNA from urine of kidney allograft recipients to estimate donor/recipient-specific DNA fractions.

Aziz Belkadi, Gaurav Thareja, Darshana Dadhania, John R Lee, Thangamani Muthukumar, Catherine Snopkowski, Carol Li, Anna Halama, Sara Abdelkader, Silvana Abdulla and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 3 institutions in 2 countries.

Aziz BelkadiDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.ORCID 0000-0003-1564-0468
Gaurav TharejaDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.ORCID 0000-0003-2277-6400
Darshana DadhaniaDepartment of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America.
John R LeeDepartment of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America.
Thangamani MuthukumarDepartment of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America.
Catherine SnopkowskiDivision of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America.
Carol LiDivision of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America.
Anna HalamaDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.ORCID 0000-0003-4910-6255
Sara AbdelkaderDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Silvana AbdullaDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Yasmin MahmoudDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Joel MalekDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Manikkam SuthanthiranDepartment of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Weill Cornell Medical College in Qatar · QANewYork–Presbyterian Hospital · USCornell University · US

Funding

Biomolecular Markers for Safe Minimization of ImmunosuppressionR37AI051652 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SUTHANTHIRAN, MANIKKAM · 2009 to 2021
$4.7M
Biomolecular Markers of Renal Allograft StatusK08DK087824 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI MUTHUKUMAR, THANGAMANI · 2011 to 2015
$658k
NIAID NIH HHS R37 AI051652NIDDK NIH HHS K08 DK087824
6 · The paper itself

Abstract

Kidney transplantation is the treatment of choice for patients with end-stage kidney failure, but transplanted allograft could be affected by viral and bacterial infections and by immune rejection. The standard test for the diagnosis of acute pathologies in kidney transplants is kidney biopsy. However, noninvasive tests would be desirable. Various methods using different techniques have been developed by the transplantation community. But these methods require improvements. We present here a cost-effective method for kidney rejection diagnosis that estimates donor/recipient-specific DNA fraction in recipient urine by sequencing urinary cell DNA. We hypothesized that in the no-pathology stage, the largest tissue types present in recipient urine are donor kidney cells, and in case of rejection, a larger number of recipient immune cells would be observed. Extensive in-silico simulation was used to tune the sequencing parameters: number of variants and depth of coverage. Sequencing of DNA mixture from 2 healthy individuals showed the method is highly predictive (maximum error < 0.04). We then demonstrated the insignificant impact of familial relationship and ethnicity using an in-house and public database. Lastly, we performed deep DNA sequencing of urinary cell pellets from 32 biopsy-matched samples representing two pathology groups: acute rejection (AR, 11 samples) and acute tubular injury (ATI, 12 samples) and 9 samples with no pathology. We found a significant association between the donor/recipient-specific DNA fraction in the two pathology groups compared to no pathology (P = 0.0064 for AR and P = 0.026 for ATI). We conclude that deep DNA sequencing of urinary cells from kidney allograft recipients offers a noninvasive means of diagnosing acute pathologies in the human kidney allograft.

Indexed as

High-Throughput Nucleotide SequencingKidney TransplantationAdultAgedAged, 80 and overAlgorithmsCase-Control StudiesDatabases, GeneticDNAFemaleGraft RejectionHumansKidneyKidney Failure, ChronicMaleMiddle AgedDNA

Identifiers

PMID33857204
PMCPMC8049329
OpenAlexW3152545247

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.