Evidence map›Paper›PMID 33922243›Full record

ArticleBiomedicines2021

Identification of Novel Biomarker for Early Detection of Diabetic Nephropathy.

Kyeong-Seok Kim, Jin-Sol Lee, Jae-Hyeon Park, Eun-Young Lee, Jong-Seok Moon, Sang-Kyu Lee, Jong-Sil Lee, Jung-Hwan Kim, Hyung-Sik Kim

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  20. Oral Health Messiers: Diabetes Mellitus Relevance.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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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

9 authors at 5 institutions in 1 country.

Kyeong-Seok KimSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.
Jin-Sol LeeSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.
Jae-Hyeon ParkSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.
Eun-Young LeeDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea.ORCID 0000-0002-4513-9888
Jong-Seok MoonDepartment of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science, Soonchunhyang University, Cheonan 31151, Korea.ORCID 0000-0002-2537-7854
Sang-Kyu LeeBK21 Plus KNU Multi-Omics Based Creative Drug Research Team, College of Pharmacy, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0001-5343-701X
Jong-Sil LeeDepartment of Pathology, Institute of Health Sciences, College of Medicine, Gyeongsang National University Hospital, Jinju 52727, Korea.
Jung-Hwan KimDepartment of Pharmacology, Institute of Health Sciences, College of Medicine, Gyeongsang National University, Jinju 52727, Korea.ORCID 0000-0003-3942-4807
Hyung-Sik KimSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.ORCID 0000-0001-7657-3970
Gyeongsang National University · KRGyeongsang National University Hospital · KRSoonchunhyang University · KRSungkyunkwan University · KRKyungpook National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is one of the most common complications of diabetes mellitus. After development of DN, patients will progress to end-stage renal disease, which is associated with high morbidity and mortality. Here, we developed early-stage diagnostic biomarkers to detect DN as a strategy for DN intervention. For the DN model, Zucker diabetic fatty rats were used for DN phenotyping. The results revealed that DN rats showed significantly increased blood glucose, blood urea nitrogen (BUN), and serum creatinine levels, accompanied by severe kidney injury, fibrosis and microstructural changes. In addition, DN rats showed significantly increased urinary excretion of kidney injury molecule-1 (KIM-1) and neutrophil gelatinase-associated lipocalin (NGAL). Transcriptome analysis revealed that new DN biomarkers, such as complementary component 4b (C4b), complementary factor D (CFD), C-X-C motif chemokine receptor 6 (CXCR6), and leukemia inhibitory factor (LIF) were identified. Furthermore, they were found in the urine of patients with DN. Since these biomarkers were detected in the urine and kidney of DN rats and urine of diabetic patients, the selected markers could be used as early diagnosis biomarkers for chronic diabetic nephropathy.

Indexed as

biomarkerC4bCFDCXCR6diabetic nephropathyLIFRNA-sequencingurine

Identifiers

PMID33922243
PMCPMC8146473
OpenAlexW3155351719

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.