Evidence map›Paper›PMID 37867508›Full record

ArticleFrontiers in endocrinology2023

The fragmentomic property of plasma cell-free DNA enables the non-invasive detection of diabetic nephropathy in patients with diabetes mellitus.

Chaolun Yu, Yu Lin, Yuxue Luo, Yun Guo, Zhiming Ye, Rijing Ou, Yan Zhang, Xinxin Wang, Ruokai Qu, Wenwen Zhou and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Circulating Cell-Free DNA in Metabolic Diseases.Journal of the Endocrine Society · 2025
    Review
  2. Article
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

16 authors at 7 institutions in 1 country.

Chaolun YuDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yu LinBGI Research, Shenzhen, China.
Yuxue LuoBGI Research, Shenzhen, China.
Yun GuoThe First Clinical Medical College, Guangdong Medical University, Zhanjiang, China.
Zhiming YeDepartment of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Rijing OuBGI Research, Shenzhen, China.
Yan ZhangBGI Research, Shenzhen, China.
Xinxin WangBGI Research, Shenzhen, China.
Ruokai QuBGI Research, Shenzhen, China.
Wenwen ZhouBGI Research, Shenzhen, China.
Jie LiDepartment of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yong BaiBGI Research, Shenzhen, China.
Xueqing YuDepartment of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Haiqiang ZhangBGI Research, Shenzhen, China.
Li YanDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Xin JinBGI Research, Shenzhen, China.
BGI ResearchGuangdong Provincial People's Hospital · CNSun Yat-sen University · CNBGI Group (China) · CNGuangdong Academy of Medical Sciences · CNGuangdong Medical College · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic nephropathy (DN) is one of the most prevalent complications of diabetes mellitus (DM). However, there is still a lack of effective methods for non-invasive diagnosis of DN in clinical practice. We aimed to explore biomarkers from plasma cell-free DNA as a surrogate of renal biopsy for the differentiation of DN patients from patients with DM. Materials and methods: The plasma cell-free DNA (cfDNA) was sequenced from 53 healthy individuals, 53 patients with DM but without DN, and 71 patients with both DM and DN. Multidimensional features of plasma DNA were analyzed to dissect the cfDNA profile in the DM and DN patients and identify DN-specific cfDNA features. Finally, a classification model was constructed by integrating all informative cfDNA features to demonstrate the clinical utility in DN detection. Results: In comparison with the DM patients, the DN individuals exhibited significantly increased cfDNA concentration in plasma. The cfDNA from the DN patients showed a distinct fragmentation pattern with an altered size profile and preferred motifs that start with "CC" in the cfDNA ending sites, which were associated with deoxyribonuclease 1 like 3 ( Conclusion: Our findings showed plasma cfDNA as a reliable non-invasive biomarker for differentiating DN patients from DM patients. The utility of cfDNA in clinical practice in large prospective cohorts is warranted.

Indexed as

Cell-Free Nucleic AcidsDiabetes Mellitus, Type 2Diabetic NephropathiesHumansKidneyProspective StudiesCell-Free Nucleic AcidsbiomarkerscfDNAendocrine diseasekidney diseaseliquid biopsy

Identifiers

PMID37867508
PMCPMC10586048
OpenAlexW4387364494

What OpenQuestion holds

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LicenceCC BY
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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.