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Ningning Gong Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China
Department of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China

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Cuixia Gao Department of Ultrasonic Diagnosis, Gansu Provincial Hospital, Lanzhou, China

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Xuedi Chen Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China

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Yu Wang Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China

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Limin Tian Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China

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Ningning Gong Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China
Department of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China

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Cuixia Gao Department of Ultrasonic Diagnosis, Gansu Provincial Hospital, Lanzhou, China

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Xuedi Chen Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China

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Yu Wang Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China

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Limin Tian Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China

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The purpose of our study was to observe adipokine expression and endothelial function in subclinical hypothyroidism (sHT) rats and to determine whether levothyroxine (LT4) treatment affects these changes. Sixty-five male Wistar rats were randomly divided into five groups: the control group; sHT A, B and C groups and the sHT + T4 group. The sHT rats were induced by methimazole (MMI) and the sHT + T4 rats were administered LT4 treatment after 8 weeks of MMI administration. Thyroid function and lipid levels were measured using radioimmunoassays and enzymatic colorimetric methods, respectively. Serum adiponectin (APN), chemerin, TNF-α, endothelin (ET-1) and nitric oxide (NO) levels were measured using ELISA kits and a nitric-reductive assay. The expression of APN, chemerin and TNF-α in visceral adipose tissue (VAT) was measured in experimental rats using RT-PCR and Western blotting. Hematoxylin–eosin (HE) staining was used to observe changes in adipose tissue. The sHT rats had significantly higher levels of thyroid-stimulating hormone (TSH), TNF-α, chemerin, ET-1, total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) and lower levels of APN and NO than those in control and sHT + T4 rats. Based on Pearson correlation analysis, the levels of chemerin, TNF-α, ET-1, LDL-C, TC and triglyceride (TG) were positively correlated with TSH, but APN and NO levels were negatively correlated with TSH. These findings demonstrated that high TSH levels contribute to the changes of adipokines and endothelial dysfunction in sHT, but LT4 treatment ameliorates those changes.

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Feifei Shao Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Xinxin Hu Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Jiayu Li Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Bona Bai Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Limin Tian Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Aims

Aging, obesity, and type 2 diabetes mellitus (T2DM) form a metabolic disease continuum that has a continuously increasing prevalence. Lipidomics explains the complex interactions between lipid metabolism and metabolic diseases. We aimed to systematically investigate the plasma lipidome changes induced by newly diagnosed impaired glucose tolerance (IGT) and T2DM in overweight/obese elderly individuals and to identify potential biomarkers to differentiate between the IGT, T2DM, and control groups.

Methods

Plasma samples from 148 overweight/obese elderly individuals, including 52 patients with IGT, 47 patients with T2DM, and 49 euglycemic controls, were analyzed using a high-coverage nontargeted absolute quantitative lipidomics approach.

Results

We quantified 1840 lipids from thirty-eight classes and seven lipid categories. Among overweight/obese elderly individuals, the lipidomic profiles of IGT and T2DM patients were significantly different from those of controls, while they were similar in the IGT and T2DM groups. The concentrations of diglycerides, triglycerides, phosphatidylcholines, and ceramides were obviously altered in the IGT and T2DM groups. Particularly, IGT and T2DM induced the accumulation of triglycerides with longer carbon atom numbers (C44–50) and saturated or lower double bond numbers (n (C=C) = 0–2). Furthermore, a total of 17 potential lipidic biomarkers were identified to successfully differentiate between the IGT, T2DM, and control groups.

Conclusions

In overweight/obese elderly patients, IGT and T2DM induced apparent lipidome-wide changes. This study’s results may contribute to explaining the complex dysfunctional lipid metabolism in aging, obesity, and diabetes.

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