Evidence map›Paper›PMID 37304842›Full record

ArticleInternational journal of analytical chemistry2023

Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles.

Xin Shao, Gang Hu, Yuanyuan Lu, Ming Li, Baohua Shen, Wenwen Kong, Yanhua Guan, Xin Yang, Jia Fang, Jing Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of analytical chemistry, 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
2.0field-weighted citation impact, top 13% 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, 5 citations in OpenAlex.

  1. Article
  2. Proteomic Analysis of the Effects of Shenzhu Tiaopi Granules on Model Rats with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  3. Review
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

11 authors at 1 institution in 1 country.

Xin ShaoDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Gang HuDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Yuanyuan LuDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Ming LiDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Baohua ShenDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Wenwen KongDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Yanhua GuanDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Xin YangDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Jia FangDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Jing LiuDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.
Yingzhuo RanDepartment of Endocrinology, Nanjing Hospital of Traditional Chinese Medicine, Nanjing 210012, China.ORCID https://orcid.org/0009-0008-8162-6799
Nanjing Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials and Methods: The metabolomics-proteomics of sixty patients with T2DM were acquired by high-performance liquid chromatography (HPLC). In addition, some clinical features, containing total cholesterol (TC), triglycerides (TG), hemoglobin A1c (HbA1c), body mass index (BMI), and low-density lipoprotein (LDL) together with high-density lipoprotein (HDL), were determined via clinical detection strategies. Abundant metabolites and proteins, respectively, were identified with the analysis of liquid chromatography tandem mass spectrometry (LC-MS/MS). Results: 22 differentially abundant metabolites and 15 differentially abundant proteins were determined. The analysis of bioinformatics suggested that the differentially abundant proteins were commonly associated with the renin-angiotensin system, vitamin digestion and absorption, hypertrophic cardiomyopathy, and so on. Furthermore, differentially abundant metabolites were amino acids and were associated with the biosynthesis of CoA and pantothenate, together with the metabolisms of phenylalanine, beta-alanine, proline, and arginine. Combination analysis revealed that the vitamin metabolism pathway was predominantly affected. Conclusions: DHS syndrome can be separated by certain metabolic-proteomic differences, and metabolism is particularly prominent, especially in vitamin digestion and absorption. From the molecular level, we provide preliminary data for the extensive application of TCM in the study of T2DM, and at the same time benefited in a sense diagnosis and treatment of T2DM.

Identifiers

PMID37304842
PMCPMC10256445
OpenAlexW4379184852

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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.