Evidence map›Paper›PMID 31754839›Full record

ReviewCurrent diabetes reports2019

Crosstalk Between Lipids and Mitochondria in Diabetic Kidney Disease.

G Michelle Ducasa, Alla Mitrofanova, Alessia Fornoni

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. The roles of free-fatty acid receptors in the pathophysiology of renal disorders.The Journal of pharmacology and experimental therapeutics · 2026
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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

3 authors at 1 institution in 1 country.

G Michelle DucasaKatz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami, Miller School of Medicine, 1580 NW 10th Avenue, Miami, FL, USA.
Alla MitrofanovaKatz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami, Miller School of Medicine, 1580 NW 10th Avenue, Miami, FL, USA.
Alessia FornoniKatz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami, Miller School of Medicine, 1580 NW 10th Avenue, Miami, FL, USA. afornoni@miami.edu.
University of Miami · US

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLZMAN, LAWRENCE B. · 2009 to 2023
$20.3M
Miami Clinical and Translational Science InstituteUL1TR000460 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SACCO, RALPH L. · 2012 to 2016
$16.9M
Crosstalk Between Lipid Droplets and Other Organelles in PodocytesR01DK104753 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI FORNONI, ALESSIA · 2015 to 2025
$5.9M
Primary Outcomes in Glomerulonephritis Study (PROGRESS)UM1DK100846 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HOLZMAN, LAWRENCE B. · 2013 to 2018
$5.8M
1/13 ApoL1 Genotypes in Kidney Donors and Long-Term Outcomes in Kidney Transplant Recipients Clinical CenterU01DK116101 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALESSIA FORNONI, Mariella Cecilia Ortigosa-goggins · 2017 to 2026
$2.4M
(PQ12) Targeting SMPDL3b to Prevent Radiation-Induced NephrotoxicityR01CA227493 · NCI · UNIVERSITY OF ROCHESTER · PI MARPLES, BRIAN · 2018 to 2022
$2.0M
SMPDL3b and podocyte insulin signaling in DKDR01DK117599 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI FORNONI, ALESSIA · 2018 to 2021
$1.4M
NCATS NIH HHS UL1 TR000460NCI NIH HHS R01 CA227493NIDDK NIH HHS R01 DK104753NIDDK NIH HHS R01 DK117599NIDDK NIH HHS U01 DK116101NIDDK NIH HHS U54 DK083912NIDDK NIH HHS UM1 DK100846
6 · The paper itself

Abstract

purpose of reviewThe goal of this review is to review the role that renal parenchymal lipid accumulation plays in contributing to diabetic kidney disease (DKD), specifically contributing to the mitochondrial dysfunction observed in glomerular renal cells in the context of DKD development and progression. RECENT

findingsMitochondrial dysfunction has been observed in experimental and clinical DKD. Recently, Ayanga et al. demonstrate that podocyte-specific deletion of a protein involved in mitochondrial dynamics protects from DKD progression. Furthermore, our group has recently shown that ATP-binding cassette A1 (a protein involved in cholesterol and phospholipid efflux) is significantly reduced in clinical and experimental DKD and that genetic or pharmacological induction of ABCA1 is sufficient to protect from DKD. ABCA1 deficiency in podocytes leads to mitochondrial dysfunction observed with alterations of mitochondrial lipids, in particular, cardiolipin (a mitochondrial-specific phospholipid). However, through pharmacological reduction of cardiolipin peroxidation DKD progression is reverted. Lipid metabolism is significantly altered in the diabetic kidney and renders cellular components, such as the podocyte, susceptible to injury leading to worsened DKD progression. Dysfunction of the lipid metabolism pathway can also lead to mitochondrial dysfunction and mitochondrial lipid alteration. Future research aimed at targeting mitochondrial lipids content and function could prove to be beneficial for the treatment of DKD.

Indexed as

Diabetic NephropathiesHumansKidney GlomerulusLipid MetabolismLipid Metabolism DisordersLipidsMitochondriaPodocytesReceptor Cross-TalkLipidsABCA1CardiolipinDiabetic kidney diseaseLipid metabolismMitochondriaPodocyte

Identifiers

PMID31754839
PMCPMC12862944
OpenAlexW2991008728

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.