Evidence map›Paper›PMID 35924446›Full record

ReviewAmerican journal of physiology. Renal physiology2022

The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology.

Markus Bitzer, Wenjun Ju, Lalita Subramanian, Jonathan P Troost, Joseph Tychewicz, Becky Steck, Roger C Wiggins, Debbie S Gipson, Crystal A Gadegbeku, Frank C Brosius and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in American journal of physiology. Renal physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 3 institutions in 1 country.

Markus BitzerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-3711-2984
Wenjun JuDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Lalita SubramanianDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Jonathan P TroostDivision of Pediatric Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.
Joseph TychewiczDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Becky SteckDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Roger C WigginsDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Debbie S GipsonDivision of Pediatric Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.
Crystal A GadegbekuDepartment of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic Health System, Cleveland, Ohio.
Frank C BrosiusDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Matthias KretzlerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Subramaniam PennathurDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-3628-6883
University of Michigan · USCleveland Clinic · USUniversity of Arizona · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK081943
6 · The paper itself

Abstract

Research on kidney diseases is being transformed by the rapid expansion and innovations in omics technologies. The analysis, integration, and interpretation of big data, however, have been an impediment to the growing interest in applying these technologies to understand kidney function and failure. Targeting this urgent need, the University of Michigan O'Brien Kidney Translational Core Center (MKTC) and its Administrative Core established the Applied Systems Biology Core. The Core provides need-based support for the global kidney community centered on enabling incorporation of systems biology approaches by creating web-based, user-friendly analytic and visualization tools, like Nephroseq and Nephrocell, guiding with experimental design, and processing, analysis, and integration of large data sets. The enrichment core supports systems biology education and dissemination through workshops, seminars, and individualized training sessions. Meanwhile, the Pilot and Feasibility Program of the MKTC provides pilot funding to both early-career and established investigators new to the field, to integrate a systems biology approach into their research projects. The relevance and value of the portfolio of training and services offered by MKTC are reflected in the expanding community of young investigators, collaborators, and users accessing resources and engaging in systems biology-based kidney research, thereby motivating MKTC to persevere in its mission to serve the kidney research community by enabling access to state-of-the-art data sets, tools, technologies, expertise, and learning opportunities for transformative basic, translational, and clinical studies that will usher in solutions to improve the lives of people impacted by kidney disease.

Indexed as

Kidney DiseasesSystems BiologyHumansKidneyMichiganTranslational Research, Biomedicalacute kidney injurychronic kidney diseasediabetic kidney diseasemetabolomicssystems biology

Identifiers

PMID35924446
PMCPMC9485002
OpenAlexW4289755189

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.