Evidence map›Paper›PMID 39597916›Full record

ReviewJournal of clinical medicine2024

Metabolic Chaos in Kidney Disease: Unraveling Energy Dysregulation.

Priya Gupta, Saiya Zhu, Yuan Gui, Dong Zhou

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Priya GuptaSchool of Medicine, University of Connecticut, Farmington, CT 06030, USA.
Saiya ZhuDivision of Nephrology, Department of Medicine, School of Medicine, University of Connecticut, Farmington, CT 06030, USA.
Yuan GuiDivision of Nephrology, Department of Medicine, School of Medicine, University of Connecticut, Farmington, CT 06030, USA.
Dong ZhouDivision of Nephrology, Department of Medicine, School of Medicine, University of Connecticut, Farmington, CT 06030, USA.ORCID 0000-0003-1981-8745

Funding

Early and Transient Activation of Fibroblasts Promotes Tubule Repair after Acute Kidney InjuryK01DK116816 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ZHOU, DONG · 2019 to 2021
$509k
NIH-NIDDK DK116816, DK128529, DK132059
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) and chronic kidney disease (CKD) share a fundamental disruption: metabolic dysfunction.

methodsA literature review was performed to determine the metabolic changes that occur in AKI and CKD as well as potential therapeutic targets related to these changes.

resultsIn AKI, increased energy demand in proximal tubular epithelial cells drives a shift from fatty acid oxidation (FAO) to glycolysis. Although this shift offers short-term support, it also heightens cellular vulnerability to further injury. As AKI progresses to CKD, metabolic disruption intensifies, with both FAO and glycolysis becoming downregulated, exacerbating cellular damage and fibrosis. These metabolic alterations are governed by shifts in gene expression and protein signaling pathways, which can now be precisely analyzed through advanced omics and histological methods.

conclusionsThis review examines these metabolic disturbances and their roles in disease progression, highlighting therapeutic interventions that may restore metabolic balance and enhance kidney function. Many metabolic changes that occur in AKI and CKD can be utilized as therapeutic targets, indicating a need for future studies related to the clinical utility of these therapeutics.

Indexed as

AKICKDenergy metabolismFAOglycolysis

Identifiers

PMID39597916
PMCPMC11594442

What OpenQuestion holds

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Registered trials

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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.