Evidence map›Paper›PMID 33679620›Full record

ArticleFrontiers in endocrinology2021

Ferroptosis Enhanced Diabetic Renal Tubular Injury

Xiaomeng Feng, Shuo Wang, Zhencheng Sun, Hengbei Dong, Haitian Yu, Mengxiu Huang, Xia Gao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 3 pooled it
16.6field-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

178 citing papers in PubMed, 3 syntheses or guidelines pooled it, 301 citations in OpenAlex.

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  17. [SENP1 reduces ferroptosis of thyroid cancer cells by regulating hypoxia-inducible factor-1α].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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118 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

7 authors at 3 institutions in 1 country.

Xiaomeng FengDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Shuo WangDepartment of Infectious Diseases, Beijing Traditional Chinese Medical Hospital, Capital Medical University, Beijing, China.
Zhencheng SunDepartment of Osteology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Hengbei DongDepartment of Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Haitian YuEducation Division, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Mengxiu HuangDepartment of Hepatobiliary, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xia GaoDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Chao-Yang Hospital · CNBeijing Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ferroptosis is a recently identified iron-dependent form of cell death as a result of increased reactive oxygen species (ROS) and lipid peroxidation. In this study, we investigated whether ferroptosis aggravated diabetic nephropathy (DN) and damaged renal tubules through hypoxia-inducible factor (HIF)-1α/heme oxygenase (HO)-1 pathway in db/db mice. Methods: Db/db mice were administered with or without ferroptosis inhibitor Ferrostatin-1 treatment, and were compared with db/m mice. Results: Db/db mice showed higher urinary albumin-to-creatinine ratio (UACR) than db/m mice, and Ferrostatin-1 reduced UACR in db/db mice. Db/db mice presented higher kidney injury molecular-1 and neutrophil gelatinase-associated lipocalin in kidneys and urine compared to db/m mice, with renal tubular basement membranes folding and faulting. However, these changes were ameliorated in db/db mice after Ferrostatin-1 treatment. Fibrosis area and collagen I were promoted in db/db mouse kidneys as compared to db/m mouse kidneys, which was alleviated by Ferrostatin-1 in db/db mouse kidneys. HIF-1α and HO-1 were increased in db/db mouse kidneys compared with db/m mouse kidneys, and Ferrostatin-1 decreased HIF-1α and HO-1 in db/db mouse kidneys. Iron content was elevated in db/db mouse renal tubules compared with db/m mouse renal tubules, and was relieved in renal tubules of db/db mice after Ferrostatin-1 treatment. Ferritin was increased in db/db mouse kidneys compared with db/m mouse kidneys, but Ferrostatin-1 reduced ferritin in kidneys of db/db mice. Diabetes accelerated nicotinamide adenine dinucleotide phosphate (NADPH) oxidase-derived ROS formation in mouse kidneys, but Ferrostatin-1 prevented ROS formation derived by NADPH oxidases in db/db mouse kidneys. The increased malondialdehyde (MDA) and the decreased superoxide dismutase (SOD), catalase (CAT), glutathione peroxidases (GSH-Px) were detected in db/db mouse kidneys compared to db/m mouse kidneys, whereas Ferrostatin-1 suppressed MDA and elevated SOD, CAT, and GSH-Px in db/db mouse kidneys. Glutathione peroxidase 4 was lower in db/db mouse kidneys than db/m mouse kidneys, and was exacerbated by Ferrostatin-1 in kidneys of db/db mice. Conclusions: Our study indicated that ferroptosis might enhance DN and damage renal tubules in diabetic models through HIF-1α/HO-1 pathway.

Indexed as

AnimalsDiabetes Mellitus, Type 2Diabetic NephropathiesFerroptosisHeme Oxygenase-1Hypoxia-Inducible Factor 1, alpha SubunitKidney TubulesLipid PeroxidationMaleMiceOxidative StressReactive Oxygen SpeciesHeme Oxygenase-1Hif1a protein, mouseHypoxia-Inducible Factor 1, alpha SubunitReactive Oxygen Speciesdiabetic nephropathyferroptosisheme oxygenase-1hypoxia-inducible factor-1αrenal tubular injury

Identifiers

PMID33679620
PMCPMC7930496
OpenAlexW3129858746

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.