Evidence map›Paper›PMID 32309346›Full record

ArticleAnnals of translational medicine2020

Serum and urine metabolomics reveal potential biomarkers of T2DM patients with nephropathy.

Mingmei Shao, Hao Lu, Ming Yang, Yang Liu, Peihao Yin, Guowen Li, Yunman Wang, Lin Chen, Qingguang Chen, Cheng Zhao and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  3. Article
  4. Fecal Microbiome and Urine Metabolome Profiling of Type 2 Diabetes.Journal of microbiology and biotechnology · 2025
    Article
  5. Review
  6. Review
  7. Serum and Urine Metabolites and Kidney Function.Journal of the American Society of Nephrology : JASN · 2024
    Article
  8. Article
  9. Article
  10. CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  11. Review
  12. Article
  13. Review
  14. Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 3 institutions in 1 country.

Mingmei ShaoInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Hao LuDepartment of Endocrinology and Metabolism, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Ming YangDepartment of Good Clinical Practice Office, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Yang LiuInstitute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Peihao YinPutuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Guowen LiPharmacy Department, Shanghai TCM-integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
Yunman WangPutuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Lin ChenPutuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Qingguang ChenDepartment of Endocrinology and Metabolism, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Cheng ZhaoPharmacy Department, Shanghai TCM-integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
Qun LuPharmacy Department, Shanghai TCM-integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
Tao WuInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Guang JiInstitute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Shanghai University of Traditional Chinese Medicine · CNLonghua Hospital Shanghai University of Traditional Chinese Medicine · CNShuguang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a metabolic disease and is often accompanied by severe microvascular and macrovascular complications. A comprehensive understanding of its complex mechanisms can help prevent type 2 diabetes mellitus (T2DM) complications, such as diabetic nephropathy (DN).

methodsTo reveal the systemic metabolic changes related to renal injury, clinical information of T2DM patients with or without nephropathy was collected, and it was found that serum urea levels of DN patients were significantly higher in T2DM patients without nephropathy. Further along the disease progression, the serum urea levels also gradually increased. We used gas chromatograph coupled with time-of-flight mass spectrometry (GC-TOFMS) metabolomics to analyze the serum and urine metabolites of T2DM patients with or without nephropathy to study the metabolic changes associated with the disease.

resultsFinally, we identified 61 serum metabolites and 46 urine metabolites as potential biomarkers related to DN (P<0.05, VIP >1). In order to determine which metabolic pathways were major altered in DN, we summarized pathway analysis based on P values from their impact values and enrichment. There were 9 serum metabolic pathways and 12 urine metabolic pathways with significant differences in serum and urine metabolism, respectively.

conclusionsThis study emphasizes that GC-TOFMS-based metabolomics provides insight into the potential pathways in the pathogenesis and progression of DN.

Indexed as

diabetic nephropathygas chromatograph coupled with time-of-flight mass spectrometry (GC-TOFMS)metabolomicsType 2 diabetes mellitus (T2DM)

Identifiers

PMID32309346
PMCPMC7154445
OpenAlexW3011639338

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.