Age- and sex-related changes in fasting plasma glucose and lipoprotein in cynomolgus monkeys

Yue, Feng; Zhang, Guodong; Tang, Rongping; Zhang, Zhouquan; Teng, Ling; Zhang, Zhiming

doi:10.1186/s12944-016-0280-x

Cited by 18 publications

(20 citation statements)

References 39 publications

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“…An examination of the biomedical parameters of the diabetes subjects in this study showed that there were no statistical differences in the glycemic characteristics of FPG, OGTT, and HbA1c between the male and female groups. In line with the results of this study, studies in Turkey, in patients at a high risk for diabetes in the US, and in cynomolgus monkeys with impaired FPG, indicate that sex is not associated with FPG level [12][13][14]. Another study on diabetic and nondiabetic subjects showed significant differences in FPG level between males and females [15].…”

Section: Discussionsupporting

confidence: 86%

Distribution Patterns and Risk Factors of Dyslipidemia in Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study in Bogor, Indonesia

Pradipta

Wibowo²,

Harbuwono³

et al. 2020

Int J App Pharm

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Objective: Type 2 diabetes mellitus (T2DM) patients tend to have abnormal lipid profiles, explaining the association between elevated cholesterol andtriglyceride levels in diabetic patients and coronary heart disease. This study aims to evaluate how the common risk factors for dyslipidemia affectthe lipid profile of diabetic patients and to determine which factors can be used as predictors for the occurrence of dyslipidemia in T2DM patients.Methods: A total of 238 diabetic patients (63 male and 175 female; age: 31–70 years) were enrolled in this cross-sectional study. All of them hadundergone regular examinations in cohort studies on risk factors for non-communicable diseases conducted by the Ministry of Health in Bogorbetween December 2017 and January 2018.Results: The result found that age differences did not affect lipid profile levels, and the females had higher mean values of body mass index (p<0.001),total cholesterol (TC) (p<0.05), and high-density lipoprotein (HDL) (p<0.001) than the males. The most common occurrences of dyslipidemia werehigh TC level (57.1%), followed by high low-density lipoprotein (LDL) level (47.1%), high triglyceride level (37.4%), and low HDL level (16.4%). Beingoverweight was found to be the best predictor of dyslipidemia.Conclusion: The results of this study suggest that in T2DM patients, sex affects TC and HDL levels, whereas age does not exert a significant effect onthe lipid profiles. In addition, poor glycemic control, hypertension, and obesity may serve as predictors of dyslipidemia in T2DM patients.

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Section: Discussionsupporting

confidence: 86%

Distribution Patterns and Risk Factors of Dyslipidemia in Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study in Bogor, Indonesia

Pradipta

Wibowo²,

Harbuwono³

et al. 2020

Int J App Pharm

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“…All T2DM animals were naïve and naturally occurred, and never exposed from any interventions, including STZ-like intoxication, and the etiology of the T2DM monkeys remained to be unclear. The detailed screening protocol for T2DM can refer to the published studies (Yue F. et al, 2016;Yue et al, 2017). The cynomolgus monkeys were raised in the Guangxi Grandforest Primate Breeding Center.…”

Section: Animalsmentioning

confidence: 99%

“…A set of biochemical and lipid markers, such as FPG, TG, CHOL, HDL, LDL and insulin in the blood were examined in the fasting condition in the morning; the procedures had been described previously (Yue F. et al, 2016). The monkey information and the levels of these markers are summarized in Table 1.…”

Section: Biochemical Analysesmentioning

confidence: 99%

Cynomolgus Monkeys With Spontaneous Type-2-Diabetes-Mellitus-Like Pathology Develop Alpha-Synuclein Alterations Reminiscent of Prodromal Parkinson’s Disease and Related Diseases

et al. 2020

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Available evidence suggests that diabetes mellitus (DM) is a non-genetic risk factor for Parkinson's disease (PD). PD and DM have shared similarities in pathogenetic mechanisms, including age, environmental factors, inflammatory reaction, and protein aggregation, etc. α-Synuclein is the primary protein component in the protein inclusions in PD, while islet amyloid polypeptide (IAPP) aggregates to form amyloid structures in β cells in type 2 diabetes mellitus (T2DM). Pancreatic and cerebral functions, pancreas and brain α-synuclein deposition as well as striatal alterations, were assessed in spontaneously developed T2DM monkeys and age-matched normal monkeys. We demonstrated increased accumulation, aggregation, and phosphorylation of α-synuclein, and IAPP in the pancreatic islets of spontaneously developed T2DM monkeys, compared to the age-matched normal subjects. Double immunofluorescence analyses showed complete overlap between α-synuclein and IAPP in the pancreatic islets. In addition, in T2DM monkeys' brain, we observed concomitantly increased accumulation and phosphorylation of α-synuclein in the cortex, pre-commissural putamen and dopaminergic neurons in the substantia nigra, which interestingly showed high correlation with levels of fasting plasma glucose (FPG), triglyceride (TG), and high density lipoprotein (HDL). Our data indicates the close association between IAPP and α-synuclein and the potential link between T2DM and PD, which implies that T2DM may facilitate PD disease onset and progress by interfering with the pathological protein aggregation both in the pancreatic islets and the brain.

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“…It is proposed that, on the average, the weight ratio of TG to cholesterol in VLDL particle is 5 to 1 [70]; that is, if the weight of TG is 150 mg in VLDL particle, the weight of cholesterol content in VLDL particle should be around 30 mg. Recent evidence suggested that a biologically optimal fasting TG level was less than 150 mg/dl [71–73], so a normal VLDL-C level was likely less than 30 mg/dl.…”

Section: Recommended Value Of Non-hdl-c Goalsmentioning

confidence: 99%

Evidence for changing lipid management strategy to focus on non-high density lipoprotein cholesterol

Kong

Peng

2019

Lipids Health Dis

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Low-density lipoprotein cholesterol (LDL-C) has been recommended as the primary treatment target on lipid management in coronary heart disease (CHD) patients for past several decades. However, even by aggressive LDL-C lowering treatment, patients still present a significant residual risk of major adverse cardiovascular events (MACE). Non-high-density lipoprotein cholesterol (non-HDL-C) contained all the atherogenic lipoproteins, such as chylomicron, very-low density lipoprotein (VLDL), LDL, intermediate density lipoprotein (IDL). Many prospective observation studies have found that non-HDL-C was better than LDL-C in predicting risks of MACE. Since non-HDL-C appears to be superior for risk prediction beyond LDL-C, current guidelines have emphasize the importance of non-HDL-C for guiding cardiovascular prevention strategies and have flagged non-HDL-C as a co-primary therapeutic target. The goals of non-HDL-C were recommended as 30 mg/dl higher than the corresponding LDL-C goals, but the value seemed inappropriate. This review provide evidence for changing lipid management strategy to focus on non-HDL-C and appropriate values for adding to LDL-C goals would be proposed.

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Age- and sex-related changes in fasting plasma glucose and lipoprotein in cynomolgus monkeys

Cited by 18 publications

References 39 publications

Distribution Patterns and Risk Factors of Dyslipidemia in Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study in Bogor, Indonesia

Distribution Patterns and Risk Factors of Dyslipidemia in Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study in Bogor, Indonesia

Cynomolgus Monkeys With Spontaneous Type-2-Diabetes-Mellitus-Like Pathology Develop Alpha-Synuclein Alterations Reminiscent of Prodromal Parkinson’s Disease and Related Diseases

Evidence for changing lipid management strategy to focus on non-high density lipoprotein cholesterol

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