Evidence map›Paper›PMID 36677712›Full record

ArticleMolecules (Basel, Switzerland)2023

Profiling of Homocysteine Metabolic Pathway Related Metabolites in Plasma of Diabetic Mellitus Based on LC-QTOF-MS.

Chanyi Li, Jiaying Qin, Wuping Liu, Bo Lv, Ning Yi, Jinfeng Xue, Zhigang Xue

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Kidney tea [Frontiers in pharmacology · 2024
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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

7 authors at 2 institutions in 1 country.

Chanyi LiDepartment of Regenerative Medicine, School of Medicine, Tongji University, 1239 Siping Road, Shanghai 200092, China.ORCID 0000-0002-2240-3025
Jiaying QinDepartment of Regenerative Medicine, School of Medicine, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Wuping LiuInternational Joint Research Center for Medical Metabolomics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha 410008, China.ORCID 0000-0001-7723-4161
Bo LvDepartment of Regenerative Medicine, School of Medicine, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Ning YiDepartment of Regenerative Medicine, School of Medicine, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Jinfeng XueDepartment of Regenerative Medicine, School of Medicine, Tongji University, 1239 Siping Road, Shanghai 200092, China.ORCID 0000-0003-1901-3912
Zhigang XueDepartment of Regenerative Medicine, School of Medicine, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Tongji University · CNCentral South University · CN

Funding

National Key R&D Program of China 2017YFC1001301Xiamen Southern Oceanographic Center 21CYY004HJ16
6 · The paper itself

Abstract

Background: Homocysteine (Hcy) has been found to be closely related to the occurrence of diabetes mellitus (DM) and is considered as one of the risk factors of DM. However, Hcy alone is not enough as a factor to predict DM, and our study analyzed and determined the relationship between the main metabolites involved in the Hcy metabolic pathway and DM. Methods: A total of 48 clinical samples were collected, including 18 health control samples and 30 DM samples. All standards and samples were detected by LC-QTOF-MS. Multivariate statistical analysis and k-means cluster analysis were performed to screen and confirm the metabolites significantly correlated with DM. Results: A total of 13 metabolites of the Hcy metabolic pathway were detected in the samples. The content of Hcy, cysteine, taurine, pyridoxamine, methionine, and choline were significantly increased in the DM group (p < 0.05). Hcy, choline, cystathionine, methionine, and taurine contributed significantly to the probabilistic principal component analysis (PPCA) model. The odds ratios (OR) of Hcy, cysteine, taurine, methionine, and choline were all greater than one. K-means cluster analysis showed that the Hcy, taurine, methionine, and choline were significantly correlated with the distribution of glucose values (divided into four levels: 10.5−11.7 mmol/L, 7.7−9.7 mmol/L, 6.0−6.9 mmol/L, and 5.0−5.9 mmol/L, respectively). Conclusion: Hcy, taurine, methionine, and choline can be used as risk factors for diabetes diagnosis and are expected to be used for the assessment of diabetes severity.

Indexed as

Diabetes MellitusHomocysteineCholineCysteineHumansMetabolic Networks and PathwaysMethionineRacemethionineTaurineCholineCysteineHomocysteineMethionineRacemethionineTaurineclinical diagnosisdiabeteshomocysteine metabolismLC-MS

Identifiers

PMID36677712
PMCPMC9861464
OpenAlexW4313890036

What OpenQuestion holds

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LicenceCC BY
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.