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

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 li...

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Autores principales: Shao, Xin, Hu, Gang, Lu, Yuanyuan, Li, Ming, Shen, Baohua, Kong, Wenwen, Guan, Yanhua, Yang, Xin, Fang, Jia, Liu, Jing, Ran, Yingzhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256445/
https://www.ncbi.nlm.nih.gov/pubmed/37304842
http://dx.doi.org/10.1155/2023/5722131
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author Shao, Xin
Hu, Gang
Lu, Yuanyuan
Li, Ming
Shen, Baohua
Kong, Wenwen
Guan, Yanhua
Yang, Xin
Fang, Jia
Liu, Jing
Ran, Yingzhuo
author_facet Shao, Xin
Hu, Gang
Lu, Yuanyuan
Li, Ming
Shen, Baohua
Kong, Wenwen
Guan, Yanhua
Yang, Xin
Fang, Jia
Liu, Jing
Ran, Yingzhuo
author_sort Shao, Xin
collection PubMed
description 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.
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spelling pubmed-102564452023-06-10 Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles Shao, Xin Hu, Gang Lu, Yuanyuan Li, Ming Shen, Baohua Kong, Wenwen Guan, Yanhua Yang, Xin Fang, Jia Liu, Jing Ran, Yingzhuo Int J Anal Chem Research Article 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. Hindawi 2023-06-02 /pmc/articles/PMC10256445/ /pubmed/37304842 http://dx.doi.org/10.1155/2023/5722131 Text en Copyright © 2023 Xin Shao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shao, Xin
Hu, Gang
Lu, Yuanyuan
Li, Ming
Shen, Baohua
Kong, Wenwen
Guan, Yanhua
Yang, Xin
Fang, Jia
Liu, Jing
Ran, Yingzhuo
Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
title Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
title_full Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
title_fullStr Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
title_full_unstemmed Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
title_short Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
title_sort discrimination of traditional chinese medicine syndromes in type 2 diabetic patients based on metabolomics-proteomics profiles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256445/
https://www.ncbi.nlm.nih.gov/pubmed/37304842
http://dx.doi.org/10.1155/2023/5722131
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