Evidence map›Paper›PMID 35125878›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2022

Acylcarnitines: Can They Be Biomarkers of Diabetic Nephropathy?

Xiaodie Mu, Min Yang, Peiyao Ling, Aihua Wu, Hua Zhou, Jingting Jiang

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  15. Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
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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

6 authors at 1 institution in 1 country.

Xiaodie Mu *Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Min Yang *Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Peiyao Ling *Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Aihua WuDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Hua ZhouDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Jingting JiangDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN), one of the most serious microvascular complications of diabetes mellitus (DM), may progress to end-stage renal disease (ESRD). Current biochemical biomarkers, such as urinary albumin excretion rate (UAER), have limitations for early screening and monitoring of DN. Recent studies have identified some metabolites as candidate biomarkers for early detection of DN. In this review, we summarize the role of dysregulated acylcarnitines (AcylCNs) in DN pathophysiology. Lower abundance of short- and medium-chain AcylCNs and higher long-chain AcylCNs often occurred in DM with normal albuminuria and microalbuminuria, compared with advanced stages of DN. The increase of long-chain AcylCNs was supposed to be an adaptive compensation in fat acids (FAs) oxidation in the early stage of DN. Conversely, the decrease of long-chain AcylCNs was due to incomplete oxidation of FAs in advanced stage of DN. Thus, AcylCNs may serve as sensitive biomarkers in predicting the risk of DN.

Indexed as

acylcarnitinebiomarkersdiabetic nephropathiesmetabolomicsmitochondrial dysfunction

Identifiers

PMID35125878
PMCPMC8811266
OpenAlexW4210424097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.