Evidence map›Paper›PMID 29888042›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2018

Somatic T-cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records.

Dana C Crawford, Jessica N Cooke Bailey, Kristy Miskimen, Penelope Miron, Jacob L McCauley, John R Sedor, John F ƠToole, William S Bush

Open access · greenAbstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Dana C CrawfordInstitute for Computational Biology, Departments of.
Jessica N Cooke BaileyPopulation and Quantitative Health Sciences and.
Kristy MiskimenGenetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.
Penelope MironGenetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.
Jacob L McCauleyJohn P. Hussman Institute for Human Genomics, Dr. John T Macdonald Department of Human Genetics, University of Miami, Miami, FL, USA; Departments of.
John R SedorMedicine and.
John F ƠTooleMedicine and.
William S BushInstitute for Computational Biology, Departments of.
Case Western Reserve University · USQuantitative BioSciences · US

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
NCATS NIH HHS KL2 TR000440
6 · The paper itself

Abstract

Germline and somatic genomic variation represent the bulk of 'omics data available for precision medicine research. These data, however, may fail to capture the dynamic biological processes that underlie disease development, particularly for chronic diseases of aging such as chronic kidney disease (CKD). To demonstrate the value of additional dynamic precision medicine data, we sequenced somatic T-cell receptor rearrangements, markers of the adaptive immune response, from genomic DNA collected during a clinical encounter from 15 participants with CKD and associated co-morbidities. Participants were consented as part of a larger precision medicine research project at the MetroHealth System, a large urban public hospital in Cleveland, Ohio. Despite the limited sample size, we observed reduced T-cell receptor diversity in relation to biomarkers (creatinine and BUN) of CKD status in this older and mostly African American sample. Overall, these data suggest a relationship between advanced CKD and premature aging of the adaptive immune system and highlight the potential of dynamic 'omic data to generate novel hypotheses about disease mechanisms and unique opportunities for precision medicine applications.

Indexed as

T-cell receptor, T-cell receptor repertoire, immunosequencing, chronic kidney disease, premature aging, electronic health records, African Americans

Identifiers

PMID29888042
PMCPMC5961818
OpenAlexW2983085644

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.