Evidence map›Paper›PMID 34244329›Full record

ArticleDiabetes care2021

Circulating Free Fatty Acid and Phospholipid Signature Predicts Early Rapid Kidney Function Decline in Patients With Type 1 Diabetes.

Farsad Afshinnia, Thekkelnaycke M Rajendiran, Chenchen He, Jaeman Byun, Daniel Montemayor, Manjula Darshi, Jana Tumova, Jiwan Kim, Christine P Limonte, Rachel G Miller and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. [Non-Classical Clinical Types and Pathological Changes of Diabetic Kidney Disease: A Review].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. The Growing Challenge of Chronic Kidney Disease: An Overview of Current Knowledge.International journal of nephrology · 2023 · on this map
    Review
  16. Article
  17. Article
  18. Article
  19. Present and future directions in diabetic kidney disease.Journal of diabetes and its complications · 2022
    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

20 authors at 8 institutions in 2 countries.

Farsad AfshinniaDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI fafshin@med.umich.edu sharmak3@uthscsa.edu spennath@umich.edu.ORCID 0000-0003-3051-3141
Thekkelnaycke M RajendiranMichigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI.
Chenchen HeDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI.
Jaeman ByunDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI.
Daniel MontemayorDivision of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.
Manjula DarshiDivision of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.
Jana TumovaDivision of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.
Jiwan KimDivision of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.
Christine P LimonteDivision of Nephrology, Department of Medicine, University of Washington, Seattle, WA.ORCID 0000-0002-9162-7428
Rachel G MillerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0003-1845-8477
Tina CostacouDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0001-9303-3810
Trevor J OrchardDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA.
Tarunveer S AhluwaliaSteno Diabetes Center Copenhagen, Copenhagen, Denmark.
Peter RossingDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1531-4294
Janet K Snell-BergeonBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.
Ian H de BoerDivision of Nephrology, Department of Medicine, University of Washington, Seattle, WA.
Loki NatarajanDivision of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science and Moores Cancer Center, University of California San Diego, La Jolla, CA.
George MichailidisDepartment of Statistics and the Informatics Institute, University of Florida, Gainesville, FL.
Kumar SharmaDivision of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX fafshin@med.umich.edu sharmak3@uthscsa.edu spennath@umich.edu.
Subramaniam PennathurDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI fafshin@med.umich.edu sharmak3@uthscsa.edu spennath@umich.edu.ORCID 0000-0003-3628-6883
The University of Texas Health Science Center at San Antonio · USUniversity of Michigan · USUniversity of Pittsburgh · USUniversity of Copenhagen · DKUniversity of Washington · USUniversity of California San Diego · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Florida · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Tomas Vaisar · 1986 to 2026
$41.4M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
Complications and Comorbidities of Type 1 DiabetesR01HL113029 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SNELL-BERGEON, JANET KATHLEEN · 2013 to 2016
$2.9M
Developing and validating prognostic metabolomic signatures of diabetic kidney diseaseR01DK110541 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NATARAJAN, LOKI · 2017 to 2020
$1.3M
Discovery and validation of biomarkers of cardiovascular complications in type 1 diabetesR01DK116731 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI SNELL-BERGEON, JANET KATHLEEN, ZHANG, QIBIN · 2018 to 2020
$1.1M
Prognostic Biomarkers in Chronic Kidney DiseaseK08DK106523 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AFSHINNIA, FARSAD · 2015 to 2019
$789k
Lipidomic Predictors of Diabetic Kidney Disease Progression in Patients with Type-1 DiabetesR03DK121941 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AFSHINNIA, FARSAD · 2019 to 2020
$169k
NHLBI NIH HHS R01 HL113029NIDDK NIH HHS K08 DK106523NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R01 DK110541NIDDK NIH HHS R01 DK116731NIDDK NIH HHS R03 DK121941
6 · The paper itself

Abstract

objectivesPatients with type 1 diabetes (T1D) exhibit modest lipid abnormalities as measured by traditional metrics. This study aimed to identify lipidomic predictors of rapid decline of kidney function in T1D. RESEARCH DESIGN AND

methodsIn a case-control study, 817 patients with T1D from three large cohorts were randomly split into training and validation subsets. Case was defined as >3 mL/min/1.73 m

resultsAt individual lipids, free fatty acid (FFA)20:2 was directly and phosphatidylcholine (PC)16:0/22:6 was inversely and independently associated with rapid eGFR decline. When examined by lipid class, rapid eGFR decline was characterized by higher abundance of unsaturated FFAs, phosphatidylethanolamine (PE)-Ps, and PCs with an unsaturated acyl chain at the sn1 carbon, and by lower abundance of saturated FFAs, longer triacylglycerols, and PCs, PEs, PE-Ps, and PE-Os with an unsaturated acyl chain at the sn1 carbon at eGFR ≥90 mL/min/1.73 m

conclusionsDistinct from previously reported predictors of GFR decline in type 2 diabetes, these findings suggest differential incorporation of FFAs at the sn1 carbon of the phospholipids' glycerol backbone as an independent predictor of rapid GFR decline in T1D.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Renal Insufficiency, ChronicCase-Control StudiesDisease ProgressionFatty Acids, NonesterifiedGlomerular Filtration RateHumansKidneyPhospholipidsRisk FactorsFatty Acids, NonesterifiedPhospholipids

Identifiers

PMID34244329
PMCPMC8740931
OpenAlexW3181710594

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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.