Evidence map›Paper›PMID 34616096›Full record

ReviewNature reviews. Nephrology2022

Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease.

Judy Baek, Chenchen He, Farsad Afshinnia, George Michailidis, Subramaniam Pennathur

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it, 153 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  14. Sphingolipids and Mortality in Hemodialysis: Innocent Bystanders or Causal Culprits?Journal of the American Society of Nephrology : JASN · 2026
    Article
  15. Review
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  17. Review
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  19. Article
  20. Chronic exposure to low levels of glyphosate and metals induces kidney dysfunction.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article

36 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Judy BaekMolecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-7662-2362
Chenchen HeDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-0500-1526
Farsad AfshinniaDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-3051-3141
George MichailidisDepartment of Statistics, University of Florida, Gainesville, FL, USA.
Subramaniam PennathurMolecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA. spennath@med.umich.edu.
University of Michigan · USUniversity of Florida · US

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLIAM H HERMAN · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
SYTEMS AND INTEGRATIVE BIOLOGYT32GM008322 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOW, MALCOLM JAMES · 1990 to 2020
$5.7M
Multidisciplinary Training Program in Basic Diabetes ResearchT32DK101357 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETER ARVAN, Ormond A MacDougald · 2014 to 2026
$4.1M
Methods and Tools for Integrative Functional Enrichment Analysis of Metabolomics DataU01CA235487 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARNOVSKY, ALLA, MICHAILIDIS, GEORGE · 2018 to 2021
$1.7M
Machine Learning Tools for Discovery and Analysis of Active Metabolic PathwaysR01GM114029 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHOJAIE, ALI · 2016 to 2020
$1.7M
Developing and validating prognostic metabolomic signatures of diabetic kidney diseaseR01DK110541 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NATARAJAN, LOKI · 2017 to 2020
$1.3M
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
NCI NIH HHS U01 CA235487NIDDK NIH HHS F30 DK121463NIDDK NIH HHS K08 DK106523NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK110541NIDDK NIH HHS R03 DK121941NIDDK NIH HHS R24 DK082841NIDDK NIH HHS R56 DK126647NIDDK NIH HHS T32 DK101357NIGMS NIH HHS R01 GM114029NIGMS NIH HHS T32 GM007863NIGMS NIH HHS T32 GM008322
6 · The paper itself

Abstract

Dyslipidaemia is a hallmark of chronic kidney disease (CKD). The severity of dyslipidaemia not only correlates with CKD stage but is also associated with CKD-associated cardiovascular disease and mortality. Understanding how lipids are dysregulated in CKD is, however, challenging owing to the incredible diversity of lipid structures. CKD-associated dyslipidaemia occurs as a consequence of complex interactions between genetic, environmental and kidney-specific factors, which to understand, requires an appreciation of perturbations in the underlying network of genes, proteins and lipids. Modern lipidomic technologies attempt to systematically identify and quantify lipid species from biological systems. The rapid development of a variety of analytical platforms based on mass spectrometry has enabled the identification of complex lipids at great precision and depth. Insights from lipidomics studies to date suggest that the overall architecture of free fatty acid partitioning between fatty acid oxidation and complex lipid fatty acid composition is an important driver of CKD progression. Available evidence suggests that CKD progression is associated with metabolic inflexibility, reflecting a diminished capacity to utilize free fatty acids through β-oxidation, and resulting in the diversion of accumulating fatty acids to complex lipids such as triglycerides. This effect is reversed with interventions that improve kidney health, suggesting that targeting of lipid abnormalities could be beneficial in preventing CKD progression.

Indexed as

LipidomicsRenal Insufficiency, ChronicFatty AcidsHumansLipid MetabolismTriglyceridesFatty AcidsTriglycerides

Identifiers

PMID34616096
PMCPMC9146017
OpenAlexW3203319955

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.