Opportunities and options for surrogate assessment of insulin resistance

Ruyatkina, Lyudmila A.; Александровна, Руяткина Людмила; Ruyatkin, D. S.; Сергеевич, Руяткин Дмитрий; Iskhakova, I. S.; Сергеевна, Исхакова Ирина

doi:10.14341/omet10082

Cited by 12 publications

(5 citation statements)

References 46 publications

(52 reference statements)

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“…There have recently been increasingly frequent publications about the use of various calculated indices for predicting IR and prediabetes condition. One of them is TyG index (Ruyatkina et al, 2019). It is quite popular due to easily available and inexpensive biochemical markers required for calculation, with no need to assess insulinemia.…”

Section: Discussionmentioning

confidence: 99%

Age‐related features of the content of substrates of energy metabolism and body mass index in women residing in the Subarctic and Arctic regions of Russia

Власова

Bichkaev

Nesterova

et al. 2022

American J Hum Biol

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Objectives Age is associated with a number of health risks linked to obesity caused by an imbalance in the main energy substrates—fatty acids (FA) and glucose (Glu). Therefore, the objective of this study was to identify age‐related features of the metabolism of fatty acids and Glu, their correlations and the relation with the body mass index (BMI) in women of the local Caucasoid population from two northern regions of Russia with different nature, climate, and geography. Methods We examined women aged 21–60 years born and permanently residing in the Subarctic region (SR) and the Arctic region (AR). The participants were divided into three age groups: 21–35, 36–45, and 46–60 years. The levels of FAs, Glu, and triglycerides (TG) in the blood serum were determined by spectrophotometric and gas chromatographic methods; the values of BMI and TyG (triglyceride glucose) index were calculated. To analyze data, we used the descriptive and correlation analyses by nonparametric methods, as well as multiple linear regression analysis. Results With age, the surveyed women demonstrated elevated levels of triglyceride, the majority of the studied fatty acids, BMI and TyG index. For three fatty acids, age‐related changes were noted in one of the regions only: stearic and linoleic acids in the SR, and docosahexaenoic acid in the AR; no significant changes were observed for dihomo‐γ‐linolenic and arachidonic acids. We found elevated Glu levels in women aged 46–60 years residing in the SR. Regional differences were due to higher concentrations of FAs and Glu in the AR. All identified correlations were positive. BMI values were associated with FAs and TG, and in women aged 46–60 years, they were additionally associated with Glu. The latter also correlated with some FAs and TG in this group. TyG index associations with saturated FAs (SFAs) became stronger with age. Conclusions Age has a significant impact on the homeostasis of key energy substrates (Glu, TG, SFAs, monounsaturated FAs), on BMI and TyG index, which are indicators of obesity and insulin resistance. Depending on the region of residence (Subarctic or Arctic), we found changes in the FA profile undersaturation (especially long‐chain polyunsaturated FAs) and some specific features of Glu homeostasis (for the age groups of 21–35 and 46–60 years) in women of Caucasoid race in the Russian North. Multiple regression analysis showed that BMI, as well as the region of residence and age, are significant predictors for almost all biochemical parameters, especially for TG and TyG index.

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Section: Discussionmentioning

confidence: 99%

Age‐related features of the content of substrates of energy metabolism and body mass index in women residing in the Subarctic and Arctic regions of Russia

Власова

Bichkaev

Nesterova

et al. 2022

American J Hum Biol

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“…Использование индекса LAP позволяет выявлять «метаболически здоровых» и «метаболически больных» среди людей с избыточным весом, а также пациентов с метаболическим ожирением, среди лиц, имеющих нормальный вес [61,62]. Эти индексы отражают вероятность ускорения или прогрессирования коронарного атеросклероза у пациентов, имеющих сочетание превышающего значения ОТ с высоким уровнем триглицеридов и свободных жирных кислот [63].…”

Section: ожирение атеросклероз и неалкогольная жировая болезнь печениunclassified

Obesity as a main component of metabolic syndrome and a risk factor for comorbidity

Sharonova,

Bulgakova,

Dolgikh

et al. 2024

ECG

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Obesity is an important medical and social problem, it occupies one of the leading places among cardiovascular risk factors. Obesity is a major component of the metabolic syndrome. It has a close pathogenetic relationship with its other manifestations, as a result of which a portrait of a comorbid patient is formed. The article presents data on the prevalence, criteria for diagnosing obesity, the relationship of obesity with other components of the metabolic syndrome is shown. The role of adipose tissue dysfunction in obesity on the development and progression of insulin resistance, atherosclerosis, as well as its relationship with non-alcoholic fatty liver disease and arterial hypertension is discussed. It is shown that obesity is a comorbidity factor and the basis of the metabolic syndrome, the leading pathogenetic mechanism in the formation and progression of its components, preceding their occurrence. This allows us to conclude that weight loss can reduce cardiovascular risks, reduce the manifestations of the metabolic syndrome, and in some cases even eliminate them completely.

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“…Накопление ТГ в гепатоцитах является основным звеном патогенеза неалкогольной жировой болезни печени, сопровождающейся выраженной ИР [18]. Некоторые исследователи предлагают использовать соотношение ТГ и различных антропометрических или лабораторных показателей в качестве суррогатных маркеров ИР [19].…”

Section: îáñóAeäåíèåunclassified

Obesity without diabetes: the role of hormonal regulation

Shestakova

Sklyanik

Panevina

et al. 2020

Terapevticheskii arkhiv

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Aim.Obese patients without diabetes present an interesting phenotype to explore protective mechanisms against type 2 diabetes (T2D) development. In our study we looked for specific hormonal features of obese patients without T2D. Materials and methods.We included 6 groups of patients with different metabolic profiles (n=212): controls with BMI25 kg/m2, HbA1c6%, age 30 years; patients with 25BMI30 kg/m2and HbA1c6%; patients with 25BMI30 kg/m2and HbA1c6%; patients with BMI30 kg/m2and HbA1c6% (+ Obesity - T2D) obese patients without T2D or prediabetes; patients with BMI30 kg/m2and newly-diagnosed T2D/prediabetes, HbA1c6%; patients with known history of T2D on glucose-lowering drugs with BMI30 kg/m2. Insulin, GLP-1, GIP were measured during glucose-tolerance test at 0, 30 and 120 minutes; insulin resistance (IR) was assessed by HOMA-IR. Results.Waist circumference was bigger in patients with obesity despite their metabolic profile comparing to patients without obesity (p0.001). Waist-to-hip ratio was similar in patients with different metabolic status. According to IR + Obesity - T2D group had intermediate position: IR was higher in that group comparing to people without obesity, but was less that in patients with obesity and HbA1c6% (p0.001). + Obesity - T2D group had the most potent baseline insulin secretion, assessed by НОМА-%band the highest postprandial secretion, measured by insulinogenic index among all patient groups with obesity (p0.001). There was no significant difference in GLP-1 secretion; GIP secretion was higher in patients with BMI30 kg/m2comparing to people with BMI30 kg/m2(p0.01).

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Opportunities and options for surrogate assessment of insulin resistance

Cited by 12 publications

References 46 publications

Age‐related features of the content of substrates of energy metabolism and body mass index in women residing in the Subarctic and Arctic regions of Russia

Age‐related features of the content of substrates of energy metabolism and body mass index in women residing in the Subarctic and Arctic regions of Russia

Obesity as a main component of metabolic syndrome and a risk factor for comorbidity

Obesity without diabetes: the role of hormonal regulation

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