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Metabolic Risk/Epidemiology
Intra-Abdominal Fat and High Density Lipoprotein Cholesterol Are Associated in a Non-Linear Pattern in Japanese-Americans
Sun Ok Song, You-Cheol Hwang, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
Diabetes Metab J. 2020;44(2):277-285.   Published online March 10, 2020
DOI: https://doi.org/10.4093/dmj.2019.0008
  • 5,532 View
  • 74 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   
Background

We describe the association between high density lipoprotein cholesterol (HDL-C) concentration and computed tomography (CT)-measured fat depots.

Methods

We examined the cross-sectional associations between HDL-C concentration and intra-abdominal (IAF), abdominal subcutaneous (SCF), and thigh fat (TF) areas in 641 Japanese-American men and women. IAF, SCF, and TF were measured by CT at the level of the umbilicus and mid-thigh. The associations between fat area measurements and HDL-C were examined using multivariate linear regression analysis adjusting for age, sex, diabetes family history, homeostasis model assessment of insulin resistance (HOMA-IR), and body mass index (BMI). Non-linearity was assessed using fractional polynomials.

Results

Mean±standard deviation of HDL-C concentration and IAF in men and women were 1.30±0.34 mg/dL, 105±55.3 cm2, and 1.67±0.43 mg/dL, 74.4±46.6 cm2 and differed significantly by gender for both comparisons (P<0.001). In univariate analysis, HDL-C concentration was significantly associated with CT-measured fat depots. In multivariate analysis, IAF was significantly and non-linearly associated with HDL-C concentration adjusted for age, sex, BMI, HOMA-IR, SCF, and TF (IAF: β=−0.1012, P<0.001; IAF2: β=0.0008, P<0.001). SCF was also negatively and linearly associated with HDL-C (β=−0.4919, P=0.001).

Conclusion

HDL-C does not linearly decline with increasing IAF in Japanese-Americans. A more complex pattern better fits this association.

Citations

Citations to this article as recorded by  
  • Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation
    Yansu Wang, Yiting Xu, Tingting Hu, Yunfeng Xiao, Yufei Wang, Xiaojing Ma, Haoyong Yu, Yuqian Bao
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 121.     CrossRef
  • Impact of the COVID-19 Pandemic on Obesity, Metabolic Parameters and Clinical Values in the South Korean Adult Population
    Anna Kim, Eun-yeob Kim, Jaeyoung Kim
    Journal of Clinical Medicine.2024; 13(10): 2814.     CrossRef
  • Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake
    Urszula Miksza, Edyta Adamska-Patruno, Witold Bauer, Joanna Fiedorczuk, Przemyslaw Czajkowski, Monika Moroz, Krzysztof Drygalski, Andrzej Ustymowicz, Elwira Tomkiewicz, Maria Gorska, Adam Kretowski
    Scientific Reports.2023;[Epub]     CrossRef
  • Computed tomography-based investigation of the correlation of abdominal fat areas with metabolic syndrome
    Kai-Yuan Cheng, Tsung-Hsien Yen, Jay Wu, Pei-Hsuan Li, Tian-Yu Shih
    Journal of Radiological Science.2023; 48(1): 15.     CrossRef
  • Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat
    Sun Ok Song, You-Cheol Hwang, Han Uk Ryu, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
    Endocrinology and Metabolism.2021; 36(4): 835.     CrossRef
Obesity and Metabolic Syndrome
Higher High Density Lipoprotein 2 (HDL2) to Total HDL Cholesterol Ratio Is Associated with a Lower Risk for Incident Hypertension
You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko
Diabetes Metab J. 2019;43(1):114-122.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0053
  • 5,134 View
  • 51 Download
  • 9 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   
Background

Recent studies have suggested that high density lipoprotein (HDL) cholesterol is inversely associated with the development of hypertension. We aimed to determine the association between different HDL cholesterol subclasses and risk of future hypertension.

Methods

A total of 270 Japanese Americans (130 men, 140 women) without hypertension between the ages of 34 to 75 years were enrolled. Blood pressure was measured with a mercury sphygmomanometer, and average blood pressure was calculated. Incident hypertension was determined 5 to 6 and 10 to 11 years after enrollment. HDL2, HDL3, and total HDL cholesterol were measured at baseline.

Results

During 10 years of follow-up, the cumulative incidence of hypertension was 28.1% (76/270). In univariate analysis, age, diabetes, waist circumference, systolic and diastolic blood pressure, fasting glucose, insulin resistance index, total and low density lipoprotein cholesterol, and visceral adipose tissue were significant predictors for incident hypertension. Among the HDL cholesterol subclass, HDL2 cholesterol was inversely associated with hypertension incidence, but both total and HDL3 cholesterol were not. In addition, HDL2/HDL cholesterol was inversely associated with future hypertension risk. In multivariate analysis, age (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.26 to 2.31; P=0.001), systolic blood pressure (OR, 1.83; 95% CI, 1.31 to 2.56; P<0.001), and HDL2/HDL cholesterol (OR, 0.71; 95% CI, 0.52 to 0.98; P=0.035), were associated with future development of hypertension.

Conclusion

A higher proportion of HDL2 cholesterol among total HDL cholesterol predicted a lower risk for incident hypertension. However, concentrations of total HDL, HDL2, and HDL3 cholesterol were not independent predictors of incident hypertension.

Citations

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  • The Association of HDL2b with Metabolic Syndrome Among Normal HDL-C Populations in Southern China
    Tong Chen, Shiquan Wu, Ling Feng, SiYu Long, Yu Liu, WenQian Lu, Wenya Chen, Guoai Hong, Li Zhou, Fang Wang, Yuechan Luo, Hequn Zou
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    Yuqin Zhang, Shirui Chen, Jing Wei, Jie Jiang, Xiao Lin, Ying Wang, Chun Hao, Wenjing Wu, Zhupei Yuan, Jie Sun, Han Wang, Zhicheng Du, Wangjian Zhang, Yuantao Hao
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    Aishah Al-Jarallah, Fawzi A. Babiker
    Pharmaceutics.2024; 16(4): 497.     CrossRef
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    Heng Liu, Yu Zhou, Mingchu Jin, Haidong Hao, Yutang Yuan, Hongtao Jia
    International Urology and Nephrology.2024; 56(12): 3895.     CrossRef
  • Relationship Between the High Blood Pressure and Cholesterol in the Women
    Noor Nemia Hafed
    European Journal of Theoretical and Applied Sciences.2024; 2(4): 538.     CrossRef
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    Modibo Coulibaly, Adama Kondé, Djibril Traoré, Ousmane Bah, Valentin Sagara, Bakary Maiga
    International Journal of Clinical Biochemistry and Research.2023; 10(1): 87.     CrossRef
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    Jian Kang, Shuangli Zhao, Xize Wu, Can Wang, Zongkun Jiang, Shixuan Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
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    Amirreza Hadaegh, Samaneh Akbarpour, Maryam Tohidi, Niloofar Barzegar, Somayeh Hosseinpour-Niazi, Fereidoun Azizi, Farzad Hadaegh
    British Journal of Nutrition.2022; 128(9): 1700.     CrossRef
  • High Density Lipoprotein Reduces Blood Pressure and Protects Spontaneously Hypertensive Rats Against Myocardial Ischemia-Reperfusion Injury in an SR-BI Dependent Manner
    Aishah Al-Jarallah, Fawzi Babiker
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Association between the Uric Acid to High Density Lipoprotein Cholesterol Ratio and Systolic Pressure in Chinese Short Stature Children and Adolescents
    广欣 李
    Advances in Clinical Medicine.2022; 12(09): 8266.     CrossRef
  • Associations Between Peripheral Blood Microbiome and the Risk of Hypertension
    Yang Jing, Hui Zhou, Honghong Lu, Xiaofang Chen, Liangyue Zhou, Jingqi Zhang, Jing Wu, Chen Dong
    American Journal of Hypertension.2021; 34(10): 1064.     CrossRef
  • How was the Diabetes Metabolism Journal added to MEDLINE?
    Hye Jin Yoo
    Science Editing.2020; 7(2): 201.     CrossRef
Epidemiology
Association of Thigh Muscle Mass with Insulin Resistance and Incident Type 2 Diabetes Mellitus in Japanese Americans
Seung Jin Han, Edward J. Boyko, Soo-Kyung Kim, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti
Diabetes Metab J. 2018;42(6):488-495.   Published online September 5, 2018
DOI: https://doi.org/10.4093/dmj.2018.0022
  • 5,372 View
  • 79 Download
  • 36 Web of Science
  • 36 Crossref
AbstractAbstract PDFPubReader   
Background

Skeletal muscle plays a major role in glucose metabolism. We investigated the association between thigh muscle mass, insulin resistance, and incident type 2 diabetes mellitus (T2DM) risk. In addition, we examined the role of body mass index (BMI) as a potential effect modifier in this association.

Methods

This prospective study included 399 Japanese Americans without diabetes (mean age 51.6 years) who at baseline had an estimation of thigh muscle mass by computed tomography and at baseline and after 10 years of follow-up a 75-g oral glucose tolerance test and determination of homeostasis model assessment of insulin resistance (HOMA-IR). We fit regression models to examine the association between thigh muscle area and incidence of T2DM and change in HOMA-IR, both measured over 10 years.

Results

Thigh muscle area was inversely associated with future HOMA-IR after adjustment for age, sex, BMI, HOMA-IR, fasting plasma glucose, total abdominal fat area, and thigh subcutaneous fat area at baseline (P=0.033). The 10-year cumulative incidence of T2DM was 22.1%. A statistically significant interaction between thigh muscle area and BMI was observed, i.e., greater thigh muscle area was associated with lower risk of incident T2DM for subjects at lower levels of BMI, but this association diminished at higher BMI levels.

Conclusion

Thigh muscle mass area was inversely associated with future insulin resistance. Greater thigh muscle area predicts a lower risk of incident T2DM for leaner Japanese Americans.

Citations

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    Hassen Ahmed Yesuf, Meseret Derbew Molla, Tabarak Malik, Zeru Seyoum Wendimagegn, Yadelew Yimer
    Cell Biochemistry and Function.2024;[Epub]     CrossRef
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    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105.     CrossRef
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    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee
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    Lijun Wu, Fangfang Chen, Junting Liu, Dongqing Hou, Tao Li, Yiren Chen, Zijun Liao
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    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Diabetes Research and Clinical Practice.2022; 189: 109939.     CrossRef
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    Dan Liu, Ying Zhang, Liang Wu, Jingyi Guo, Xiangtian Yu, Huasheng Yao, Rui Han, Tianshu Ma, Yuchan Zheng, Qiongmei Gao, Qichen Fang, Yan Zhao, Yanan Zhao, Biao Sun, Weiping Jia, Huating Li
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    Diabetes & Metabolism Journal.2022; 46(5): 756.     CrossRef
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  • Response: Association of Thigh Muscle Mass with Insulin Resistance and Incident Type 2 Diabetes Mellitus in Japanese Americans (Diabetes Metab J 2018;42:488–95)
    Seung Jin Han, Edward J. Boyko
    Diabetes & Metabolism Journal.2019; 43(1): 125.     CrossRef
  • Berberine chloride ameliorated PI3K/Akt‐p/SIRT‐1/PTEN signaling pathway in insulin resistance syndrome induced in rats
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  • Letter: Association of Thigh Muscle Mass with Insulin Resistance and Incident Type 2 Diabetes Mellitus in Japanese Americans (Diabetes Metab J 2018;42:488–95)
    Nan Hee Cho, Hye Soon Kim
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  • Asian Indians With Prediabetes Have Similar Skeletal Muscle Mass and Function to Those With Type 2 Diabetes
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Epidemiology
Predictors of Incident Type 2 Diabetes Mellitus in Japanese Americans with Normal Fasting Glucose Level
You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko
Diabetes Metab J. 2018;42(3):198-206.   Published online April 25, 2018
DOI: https://doi.org/10.4093/dmj.2017.0100
  • 3,904 View
  • 34 Download
  • 5 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

Little is known about the natural course of normal fasting glucose (NFG) in Asians and the risk factors for future diabetes.

Methods

A total of 370 Japanese Americans (163 men, 207 women) with NFG levels and no history of diabetes, aged 34 to 75 years, were enrolled. Oral glucose tolerance tests were performed at baseline, 2.5, 5, and 10 years after enrollment.

Results

During 10 years of follow-up, 16.1% of participants met criteria for diabetes diagnosis, and 39.6% of subjects still had NFG levels at the time of diabetes diagnosis. During 5 years of follow-up, age (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.01 to 1.10; P=0.026) and family history of diabetes (OR, 3.24; 95% CI, 1.42 to 7.40; P=0.005) were independently associated with future diabetes diagnosis; however, fasting glucose level was not an independent predictor. During 10 years of follow-up, family history of diabetes (OR, 2.76; 95% CI, 1.37 to 5.54; P=0.004), fasting insulin level (OR, 1.01; 95% CI, 1.00 to 1.02; P=0.037), and fasting glucose level (OR, 3.69; 95% CI, 1.13 to 12.01; P=0.030) were associated with diabetes diagnosis independent of conventional risk factors for diabetes.

Conclusion

A substantial number of subjects with NFG at baseline still remained in the NFG range at the time of diabetes diagnosis. A family history of diabetes and fasting insulin and glucose levels were associated with diabetes diagnosis during 10 years of follow-up; however, fasting glucose level was not associated with diabetes risk within the relatively short-term follow-up period of 5 years in subjects with NFG.

Citations

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  • J-shape relationship between normal fasting plasma glucose and risk of type 2 diabetes in the general population: results from two cohort studies
    Linfeng He, Wenbin Zheng, Zeyu Li, Lu Chen, Wen Kong, Tianshu Zeng
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    Seung-Hwan Lee
    Diabetes & Metabolism Journal.2018; 42(3): 196.     CrossRef

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