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Potential metabolic biomarkers of critical limb ischemia in people with type 2 diabetes mellitus.
Safari-Alighiarloo, Nahid; Mani-Varnosfaderani, Ahmad; Madani, Nahid Hashemi; Tabatabaei, Seyyed Mohammad; Babaei, Mohammad Reza; Khamseh, Mohammad E.
Afiliação
  • Safari-Alighiarloo N; Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran. safari.nhd@gmail.com.
  • Mani-Varnosfaderani A; Endocrine and Metabolism Research Institute, Firoozeh Alley, Valiasr Square, Tehran, Iran. safari.nhd@gmail.com.
  • Madani NH; Chemometrics and Cheminformatics Laboratory, Department of Chemistry, Tarbiat Modares University, Tehran, Iran. a.mani@modares.ac.ir.
  • Tabatabaei SM; Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
  • Babaei MR; Medical Informatics Department, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Khamseh ME; Department of Interventional Radiology, Firouzgar Hospital, Iran University of Medical Science, Tehran, Iran.
Metabolomics ; 19(7): 66, 2023 Jul 14.
Article em En | MEDLINE | ID: mdl-37452163
ABSTRACT

INTRODUCTION:

Type 2 diabetes mellitus (T2DM) is a significant risk factor for the development of critical limb ischemia (CLI), the most advanced stage of peripheral arterial disease. The concurrent existence of T2DM and CLI often leads to adverse outcomes, namely limb amputation.

OBJECTIVE:

To identify biomarkers for improving the screening of CLI in high-risk people with T2DM.

METHODS:

We investigated metabolome profiles in serum samples of 113 T2DM people with CLI (n = 23, G2) and without CLI (n = 45, G0 no lower limb stenosis (LLS) and n = 45, G1 LLS < 50%), using hydrogen nuclear magnetic resonance (1H NMR) approach. Principle component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to analyze 1H NMR data.

RESULTS:

Twenty potential metabolites that could discriminate people with T2DM and CLI (G2) from non-CLI patients without LLS (G0) were determined in serum samples. The correct percent of classification for the PLS-DA model for the test set samples was 85% (n = 20) and 100% (n = 5) for G0 and G2 groups, respectively. Non-CLI patients with LLS < 50% (G1) were projected on the PCA abstract space built using 20 discriminatory metabolites. Eleven people with T2DM and LLS < 50% were prospectively followed, and their ankle-brachial index (ABI) was measured after 4 years. A promising agreement existed between the PCA model's predictions and those obtained by ABI values.

CONCLUSION:

The findings suggest that confirmation of blood potential metabolic biomarkers as a complement to ABI for screening of CLI in a large group of high-risk people with T2DM is needed.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Isquemia Crônica Crítica de Membro Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Metabolomics Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Isquemia Crônica Crítica de Membro Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Metabolomics Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irã