Association Between Insulin Resistance and Cardinal Rheological Parameters in Young Healthy Japanese Individuals During 75g Oral Glucose Tolerance Test.


Journal

Endocrine, metabolic & immune disorders drug targets
ISSN: 2212-3873
Titre abrégé: Endocr Metab Immune Disord Drug Targets
Pays: United Arab Emirates
ID NLM: 101269157

Informations de publication

Date de publication:
2022
Historique:
received: 12 02 2021
revised: 19 05 2021
accepted: 19 05 2021
pubmed: 26 7 2021
medline: 31 3 2022
entrez: 25 7 2021
Statut: ppublish

Résumé

Insulin resistance is a well-known predictor and risk factor for type 2 diabetes mellitus (T2DM). Higher hematocrit induced by higher insulin resistance affects blood rheology. This study intended to reveal the association between indices of insulin resistance and hemorheological parameters during a 75 g oral glucose tolerance test (75-g OGTT). A total of 575 healthy young Japanese participants took 75-g OGTT. We then analyzed the association between insulin resistance indices and hematological parameters. The Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was significantly correlated with hematocrit (Ht), hemoglobin (Hb), red blood cell (RBC), white blood cell (WBC), platelet count, lipid parameters and body mass index (BMI). The Matsuda index was negatively correlated with RBC count, WBC count, platelet count, total cholesterol (TC), low-density lipoprotein- cholesterol (LDL-C), triglyceride (TG), and positively correlated with high-density lipoprotein- cholesterol (HDL-C). The disposition index was negatively correlated with Hb, RBC count, LDL-C and BMI, and positively correlated with HDL-C. The Homeostasis Model Assessment of beta cell (HOMA-β) was positively correlated with WBC count, platelet count, TC, LDL-C and TG. The insulinogenic index was positively correlated with WBC count, platelet count and TC. Multiple regression analysis revealed that HOMA-IR was independently associated with TG, and the Matsuda index was independently associated with TG, WBC count, and platelet count. The insulinogenic index was independently associated with WBC count. Cardinal rheological parameters reflected insulin resistance and release even in young healthy Japanese individuals within the physiological range of glycemic control.

Sections du résumé

BACKGROUND BACKGROUND
Insulin resistance is a well-known predictor and risk factor for type 2 diabetes mellitus (T2DM). Higher hematocrit induced by higher insulin resistance affects blood rheology.
OBJECTIVE OBJECTIVE
This study intended to reveal the association between indices of insulin resistance and hemorheological parameters during a 75 g oral glucose tolerance test (75-g OGTT).
METHODS METHODS
A total of 575 healthy young Japanese participants took 75-g OGTT. We then analyzed the association between insulin resistance indices and hematological parameters.
RESULTS RESULTS
The Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was significantly correlated with hematocrit (Ht), hemoglobin (Hb), red blood cell (RBC), white blood cell (WBC), platelet count, lipid parameters and body mass index (BMI). The Matsuda index was negatively correlated with RBC count, WBC count, platelet count, total cholesterol (TC), low-density lipoprotein- cholesterol (LDL-C), triglyceride (TG), and positively correlated with high-density lipoprotein- cholesterol (HDL-C). The disposition index was negatively correlated with Hb, RBC count, LDL-C and BMI, and positively correlated with HDL-C. The Homeostasis Model Assessment of beta cell (HOMA-β) was positively correlated with WBC count, platelet count, TC, LDL-C and TG. The insulinogenic index was positively correlated with WBC count, platelet count and TC. Multiple regression analysis revealed that HOMA-IR was independently associated with TG, and the Matsuda index was independently associated with TG, WBC count, and platelet count. The insulinogenic index was independently associated with WBC count.
CONCLUSION CONCLUSIONS
Cardinal rheological parameters reflected insulin resistance and release even in young healthy Japanese individuals within the physiological range of glycemic control.

Identifiants

pubmed: 34303334
pii: EMIDDT-EPUB-116818
doi: 10.2174/1871530321666210720124554
doi:

Substances chimiques

Blood Glucose 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125-132

Subventions

Organisme : Grant-in-Aid for Gunma University and the Society for Collaboration on Food Science and Wellness
ID : 17H04109
Organisme : Ministry of Education, Culture, Sports Science, and Technology of Japan.
ID : 20K07841

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Larasati Martha (L)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Takao Kimura (T)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Akihiro Yoshida (A)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Katsuhiko Tsunekawa (K)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Tomoyuki Aoki (T)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Osamu Araki (O)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Makoto Nara (M)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Takayuki Ogiwara (T)

Internal Medicine, Division of Endocrinology and Diabetes, Saiseikai Maebashi Hospital, Kamishindenmachi, Maebashi, Gunma 371-0821, Japan.

Hiroyuki Sumino (H)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

Masami Murakami (M)

Department of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Showamachi, Maebashi, Gunma 371-8511, Japan.

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Classifications MeSH