Metabolic signatures of insulin resistance in non-diabetic individuals
Abstract Background Insulin resistance (IR) evolved from excessive energy intake and poor energy expenditure, affecting the patient's quality of life. Amino acid and acylcarnitine metabolomic profiles have identified consistent patterns associated with metabolic disease and insulin sensitivity....
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | BMC Endocrine Disorders |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12902-022-01130-3 |
| _version_ | 1828356707564126208 |
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| author | Babak Arjmand Saeed Ebrahimi Fana Erfan Ghasemi Ameneh Kazemi Robabeh Ghodssi-Ghassemabadi Hojat Dehghanbanadaki Niloufar Najjar Ardeshir Kakaii Katayoon Forouzanfar Ensieh Nasli-Esfahani Farshad Farzadfar Bagher Larijani Farideh Razi |
| author_facet | Babak Arjmand Saeed Ebrahimi Fana Erfan Ghasemi Ameneh Kazemi Robabeh Ghodssi-Ghassemabadi Hojat Dehghanbanadaki Niloufar Najjar Ardeshir Kakaii Katayoon Forouzanfar Ensieh Nasli-Esfahani Farshad Farzadfar Bagher Larijani Farideh Razi |
| author_sort | Babak Arjmand |
| collection | DOAJ |
| description | Abstract Background Insulin resistance (IR) evolved from excessive energy intake and poor energy expenditure, affecting the patient's quality of life. Amino acid and acylcarnitine metabolomic profiles have identified consistent patterns associated with metabolic disease and insulin sensitivity. Here, we have measured a wide array of metabolites (30 acylcarnitines and 20 amino acids) with the MS/MS and investigated the association of metabolic profile with insulin resistance. Methods The study population (n = 403) was randomly chosen from non-diabetic participants of the Surveillance of Risk Factors of NCDs in Iran Study (STEPS 2016). STEPS 2016 is a population-based cross-sectional study conducted periodically on adults aged 18–75 years in 30 provinces of Iran. Participants were divided into two groups according to the optimal cut-off point determined by the Youden index of HOMA-IR for the diagnosis of metabolic syndrome. Associations were investigated using regression models adjusted for age, sex, and body mass index (BMI). Results People with high IR were significantly younger, and had higher education level, BMI, waist circumference, FPG, HbA1c, ALT, triglyceride, cholesterol, non-HDL cholesterol, uric acid, and a lower HDL-C level. We observed a strong positive association of serum BCAA (valine and leucine), AAA (tyrosine, tryptophan, and phenylalanine), alanine, and C0 (free carnitine) with IR (HOMA-IR); while C18:1 (oleoyl L-carnitine) was inversely correlated with IR. Conclusions In the present study, we identified specific metabolites linked to HOMA-IR that improved IR prediction. In summary, our study adds more evidence that a particular metabolomic profile perturbation is associated with metabolic disease and reemphasizes the significance of understanding the biochemistry and physiology which lead to these associations. |
| first_indexed | 2024-04-14T03:03:11Z |
| format | Article |
| id | doaj.art-dce7b14dbc894a018a167b9726080dce |
| institution | Directory Open Access Journal |
| issn | 1472-6823 |
| language | English |
| last_indexed | 2024-04-14T03:03:11Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Endocrine Disorders |
| spelling | doaj.art-dce7b14dbc894a018a167b9726080dce2022-12-22T02:15:50ZengBMCBMC Endocrine Disorders1472-68232022-08-0122111110.1186/s12902-022-01130-3Metabolic signatures of insulin resistance in non-diabetic individualsBabak Arjmand0Saeed Ebrahimi Fana1Erfan Ghasemi2Ameneh Kazemi3Robabeh Ghodssi-Ghassemabadi4Hojat Dehghanbanadaki5Niloufar Najjar6Ardeshir Kakaii7Katayoon Forouzanfar8Ensieh Nasli-Esfahani9Farshad Farzadfar10Bagher Larijani11Farideh Razi12Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences InstituteDepartment of Clinical Biochemistry, School of Medicine, Tehran University of Medical SciencesNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical SciencesNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical SciencesDepartment of Biostatistics, School of Medical Sciences, Tarbiat Modares UniversityDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical SciencesMetabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical SciencesMetabolic Disorders Research Center, Endocrinology and Metabolism Molecular -Cellular Sciences Institute, Tehran University of Medical SciencesMetabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical SciencesDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical SciencesNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical SciencesEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical SciencesMetabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical SciencesAbstract Background Insulin resistance (IR) evolved from excessive energy intake and poor energy expenditure, affecting the patient's quality of life. Amino acid and acylcarnitine metabolomic profiles have identified consistent patterns associated with metabolic disease and insulin sensitivity. Here, we have measured a wide array of metabolites (30 acylcarnitines and 20 amino acids) with the MS/MS and investigated the association of metabolic profile with insulin resistance. Methods The study population (n = 403) was randomly chosen from non-diabetic participants of the Surveillance of Risk Factors of NCDs in Iran Study (STEPS 2016). STEPS 2016 is a population-based cross-sectional study conducted periodically on adults aged 18–75 years in 30 provinces of Iran. Participants were divided into two groups according to the optimal cut-off point determined by the Youden index of HOMA-IR for the diagnosis of metabolic syndrome. Associations were investigated using regression models adjusted for age, sex, and body mass index (BMI). Results People with high IR were significantly younger, and had higher education level, BMI, waist circumference, FPG, HbA1c, ALT, triglyceride, cholesterol, non-HDL cholesterol, uric acid, and a lower HDL-C level. We observed a strong positive association of serum BCAA (valine and leucine), AAA (tyrosine, tryptophan, and phenylalanine), alanine, and C0 (free carnitine) with IR (HOMA-IR); while C18:1 (oleoyl L-carnitine) was inversely correlated with IR. Conclusions In the present study, we identified specific metabolites linked to HOMA-IR that improved IR prediction. In summary, our study adds more evidence that a particular metabolomic profile perturbation is associated with metabolic disease and reemphasizes the significance of understanding the biochemistry and physiology which lead to these associations.https://doi.org/10.1186/s12902-022-01130-3MetabolomicsPlasma metaboliteAmino acidsAcylcarnitineInsulin sensitivityInsulin resistance |
| spellingShingle | Babak Arjmand Saeed Ebrahimi Fana Erfan Ghasemi Ameneh Kazemi Robabeh Ghodssi-Ghassemabadi Hojat Dehghanbanadaki Niloufar Najjar Ardeshir Kakaii Katayoon Forouzanfar Ensieh Nasli-Esfahani Farshad Farzadfar Bagher Larijani Farideh Razi Metabolic signatures of insulin resistance in non-diabetic individuals BMC Endocrine Disorders Metabolomics Plasma metabolite Amino acids Acylcarnitine Insulin sensitivity Insulin resistance |
| title | Metabolic signatures of insulin resistance in non-diabetic individuals |
| title_full | Metabolic signatures of insulin resistance in non-diabetic individuals |
| title_fullStr | Metabolic signatures of insulin resistance in non-diabetic individuals |
| title_full_unstemmed | Metabolic signatures of insulin resistance in non-diabetic individuals |
| title_short | Metabolic signatures of insulin resistance in non-diabetic individuals |
| title_sort | metabolic signatures of insulin resistance in non diabetic individuals |
| topic | Metabolomics Plasma metabolite Amino acids Acylcarnitine Insulin sensitivity Insulin resistance |
| url | https://doi.org/10.1186/s12902-022-01130-3 |
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