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Impact of Gender on the Association between Low Serum Prolactin and Left Ventricular Mass in Subjects with Prediabetes
Mervat M. El-Eshmawy, Enas M. Elkhamisy, Eman Elsayed, Shaheer Kamal
Diabetes Metab J. 2017;41(3):195-204.   Published online June 21, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.3.195
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  • 34 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Low circulating prolactin hormone was associated with increased risk for type 2 diabetes mellitus. An inverse association of serum prolactin with cardiac remodeling was also previously suggested. Thus, the first question arises whether low serum prolactin is associated with adverse cardiac remodeling in subjects with prediabetes and if so what the impact of gender is? Second, could serum prolactin be considered a predictor of cardiac morbidity in those subjects? This study was conducted to assess prolactin level variations in relation to echocardiographic indices of cardiac remodeling among adult men and women with prediabetes.

Methods

This cross sectional study enrolled 80 subjects with prediabetic; 40 men and 40 women. Anthropometric measurements, plasma glucose, lipid profile, homeostasis model assessment of insulin resistance, white blood cells count, prolactin and echocardiography were assessed.

Results

Prolactin was significantly lower in men than in women with prediabetes. Left ventricular mass (LVM) was significantly higher in men than in women with prediabetes. The proportion of left ventricular hypertrophy (LVH) in men with prediabetes was 45% compared with 22.5% in women (P=0.03). We also found inverse independent associations of serum prolactin with LVM and LVH in men, but not in women.

Conclusion

In prediabetes, physiologically low serum prolactin is an independent predictor of increased LVM and LVH in adult men, but not in women. Prolactin may be a potential diagnostic biomarker for cardiac remodeling in adult men with prediabetes.

Citations

Citations to this article as recorded by  
  • The influence of diabetes and prediabetes on left heart remodeling: A population-based study
    Tan Li, Guangxiao Li, Xiaofan Guo, Zhao Li, Jun Yang, Yingxian Sun
    Journal of Diabetes and its Complications.2021; 35(2): 107771.     CrossRef
  • The regulatory effect of bromocriptine on cardiac hypertrophy by prolactin and D2 receptor modulation
    Karla Aidee Aguayo-Cerón, Claudia Camelia Calzada-Mendoza, Enrique Méndez-Bolaina, Rodrigo Romero-Nava, María Esther Ocharan-Hernández
    Clinical and Experimental Hypertension.2020; 42(7): 675.     CrossRef
  • Serum Prolactin and Cardiac Remodeling in Subjects with Prediabetes
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(3): 168.     CrossRef
The Association of Unintentional Changes in Weight, Body Composition, and Homeostasis Model Assessment Index with Glycemic Progression in Non-Diabetic Healthy Subjects
Eun-Jung Rhee, Ji-Hun Choi, Seung-Hyun Yoo, Ji-Cheol Bae, Won-Jun Kim, Eun-Suk Choi, Se Eun Park, Cheol-Young Park, Seok Won Park, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim, Won-Young Lee
Diabetes Metab J. 2011;35(2):138-148.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.138
  • 3,971 View
  • 39 Download
  • 14 Crossref
AbstractAbstract PDFPubReader   
Background

We performed a retrospective longitudinal study on the effects of changes in weight, body composition, and homeostasis model assessment (HOMA) indices on glycemic progression in subjects without diabetes during a four-year follow-up period in a community cohort without intentional intervention.

Methods

From 28,440 non-diabetic subjects who participated in a medical check-up program in 2004, data on anthropometric and metabolic parameters were obtained after four years in 2008. Body composition analyses were performed with a bioelectrical impedance analyzer. Skeletal muscle index (SMI, %) was calculated with lean mass/weight×100. Subjects were divided into three groups according to weight change status in four years: weight loss (≤-5.0%), stable weight (-5.0 to 5.0%), weight gain (≥5.0%). Progressors were defined as the subjects who progressed to impaired fasting glucose or diabetes.

Results

Progressors showed worse baseline metabolic profiles compared with non-progressors. In logistic regression analyses, the increase in changes of HOMA-insulin resistance (HOMA-IR) in four years presented higher odds ratios for glycemic progression compared with other changes during that period. Among the components of body composition, a change in waist-hip ratio was the strongest predictor, and SMI change in four years was a significant negative predictor for glycemic progression. Changes in HOMA β-cell function in four years was a negative predictor for glycemic progression.

Conclusion

Increased interval changes in HOMA-IR, weight gain and waist-hip ratio was associated with glycemic progression during a four-year period without intentional intervention in non-diabetic Korean subjects.

Citations

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  • Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
    Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(4): 845.     CrossRef
  • Effects of nutritional supplementation on glucose metabolism and insulin function among people with HIV initiating ART
    Hiwot Amare, Mette F. Olsen, Henrik Friis, Pernille Kæstel, Åse B. Andersen, Alemseged Abdissa, Daniel Yilma, Tsinuel Girma, Daniel Faurholt-Jepsen
    BMC Nutrition.2021;[Epub]     CrossRef
  • The ratio of estimated average glucose to fasting plasma glucose level as an indicator of insulin resistance in young adult diabetes
    Jun Guo, Sisi Lei, Yu Zhou, Congqing Pan
    Medicine.2020; 99(40): e22337.     CrossRef
  • Reduced Skeletal Muscle Volume and Increased Skeletal Muscle Fat Deposition Characterize Diabetes in Individuals after Pancreatitis: A Magnetic Resonance Imaging Study
    Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov
    Diseases.2020; 8(3): 25.     CrossRef
  • Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
    Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim
    Hepatology Research.2018;[Epub]     CrossRef
  • Use of Novel High-Protein Functional Food Products as Part of a Calorie-Restricted Diet to Reduce Insulin Resistance and Increase Lean Body Mass in Adults: A Randomized Controlled Trial
    Carol Johnston, Barry Sears, Mary Perry, Jessica Knurick
    Nutrients.2017; 9(11): 1182.     CrossRef
  • Gender differences in the association between food insecurity and insulin resistance among U.S. adults: National Health and Nutrition Examination Survey, 2005–2010
    Junxiu Liu, Yong-Moon Mark Park, Seth A. Berkowitz, Qingwei Hu, Kyungdo Han, Andrew Ortaglia, Robert E. McKeown, Angela D. Liese
    Annals of Epidemiology.2015; 25(9): 643.     CrossRef
  • 1,5-Anhydroglucitol Is Associated with Early-Phase Insulin Secretion in Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Xiaojing Ma, Yaping Hao, Xiang Hu, Yuqi Luo, Zixuan Deng, Jian Zhou, Yuqian Bao, Weiping Jia
    Diabetes Technology & Therapeutics.2015; 17(5): 320.     CrossRef
  • Serum glycated albumin as a new glycemic marker in pediatric diabetes
    Ji Woo Lee, Hyung Jin Kim, Young Se Kwon, Yong Hoon Jun, Soon Ki Kim, Jong Weon Choi, Ji Eun Lee
    Annals of Pediatric Endocrinology & Metabolism.2013; 18(4): 208.     CrossRef
  • The Association of Maximum Body Weight on the Development of Type 2 Diabetes and Microvascular Complications: MAXWEL Study
    Soo Lim, Kyoung Min Kim, Min Joo Kim, Se Joon Woo, Sung Hee Choi, Kyong Soo Park, Hak Chul Jang, James B. Meigs, Deborah J. Wexler, Noel Christopher Barengo
    PLoS ONE.2013; 8(12): e80525.     CrossRef
  • Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
    C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
    Diabetic Medicine.2013; 30(9): 1075.     CrossRef
  • Body Mass Index and Waist Circumference According to Glucose Tolerance Status in Korea: The 2005 Korean Health and Nutrition Examination Survey
    Hye Mi Kang, Dong-Jun Kim
    Journal of Korean Medical Science.2012; 27(5): 518.     CrossRef
  • The Relationship between β-cell Function and Nutrient Intakes in Korean Adult - Using 4thKorea National Health and Nutrition Examination Survey 2009 -
    You Mi Lee, Hye Kyung Chung, Heejin Kimm, Sun Ha Jee
    Korean Journal of Community Nutrition.2012; 17(2): 243.     CrossRef
  • The ratio of glycated albumin to glycated haemoglobin correlates with insulin secretory function
    Daham Kim, Kwang J. Kim, Ji H. Huh, Byung‐Wan Lee, Eun S. Kang, Bong S. Cha, Hyun C. Lee
    Clinical Endocrinology.2012; 77(5): 679.     CrossRef
The Changes in Early Phase Insulin Secretion in Newly Diagnosed, Drug Naive Korean Prediabetes Subjects
Sang Youl Rhee, Joo Young Kim, Suk Chon, You Cheol Hwang, In Kyung Jeong, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung Woon Kim, Jin-Woo Kim, Young Seol Kim
Korean Diabetes J. 2010;34(3):157-165.   Published online June 30, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.3.157
  • 4,673 View
  • 28 Download
  • 15 Crossref
AbstractAbstract PDFPubReader   
Background

There have been no systematic observations regarding changes in early phase insulin secretion among Korean prediabetes and early stage type 2 diabetes mellitus (T2DM) patients.

Methods

We conducted 75-g oral glucose tolerance tests (OGTT) in 873 subjects with suspected abnormal glucose tolerance. All subjects were diagnosed as having normal glucose tolerance (NGT), prediabetes (preDM), or T2DM according to the OGTT results and the insulin secretory and insulin resistance indices of each subject were calculated. Additionally, we analyzed the changes in early phase insulin secretion according to changes in fasting (Glc0), post-prandial (Glc120) glucose and HbA1c (A1c) levels.

Results

As compared to subjects with NGT, the insulin secretory indices of the preDM and T2DM subjects progressively declined, and the insulin resistance indices were progressively aggravated. Early phase insulin secretion decreased rapidly according to the increments of Glc0, Glc120 and A1c, and these changes were most prominent in the NGT stage. Compared to the control group, the early phase insulin secretion levels of the preDM or T2DM subjects were less than 50% when Glc0 was over 100 mg/dL, Glc120 was over 145 mg/dL, and A1c was over 5.8%.

Conclusion

This study suggests that progressive beta cell dysfunction in Koreans may be initiated and rapidly aggravated during the period generally designated as 'normal.'

Citations

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  • Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study
    Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2019; 43(1): 49.     CrossRef
  • Differential role of insulin resistance and β-cell function in the development of prediabetes and diabetes in middle-aged and elderly Chinese population
    Xueli Cai, Lili Xia, Yuesong Pan, Dian He, Huiping Zhu, Tiemin Wei, Yan He
    Diabetology & Metabolic Syndrome.2019;[Epub]     CrossRef
  • Effects of Primary Aldosteronism and Different Therapeutic Modalities on Glucose Metabolism
    Mi Kyung Kwak, Jee Yang Lee, Beom-Jun Kim, Seung Hun Lee, Jung-Min Koh
    Journal of Clinical Medicine.2019; 8(12): 2194.     CrossRef
  • Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
    Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim
    Hepatology Research.2018;[Epub]     CrossRef
  • Longitudinal Changes in Insulin Resistance, Beta-Cell Function and Glucose Regulation Status in Prediabetes
    Chul-Hee Kim, Hong-Kyu Kim, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Joong-Yeol Park
    The American Journal of the Medical Sciences.2018; 355(1): 54.     CrossRef
  • Prenatal Dexamethasone Exposure Programs the Development of the Pancreas and the Secretion of Insulin in Rats
    Yu-Chieh Chen, Ying-Hua Huang, Jiunn-Ming Sheen, You-Lin Tain, Hong-Ren Yu, Chih-Cheng Chen, Miao-Meng Tiao, Ho-Chang Kuo, Li-Tung Huang
    Pediatrics & Neonatology.2017; 58(2): 135.     CrossRef
  • Insulin Secretory Capacity and Insulin Resistance in Korean Type 2 Diabetes Mellitus Patients
    Jong-Dai Kim, Won-Young Lee
    Endocrinology and Metabolism.2016; 31(3): 354.     CrossRef
  • The effect of glargine versus glimepiride on pancreatic β-cell function in patients with type 2 diabetes uncontrolled on metformin monotherapy: open-label, randomized, controlled study
    Jun Sung Moon, Kyoung Soo Ha, Ji Sung Yoon, Hyoung Woo Lee, Hyun Chul Lee, Kyu Chang Won
    Acta Diabetologica.2014; 51(2): 277.     CrossRef
  • Association of Obstructive Sleep Apnea and Glucose Metabolism in Subjects With or Without Obesity
    Nan Hee Kim, Nam H. Cho, Chang-Ho Yun, Seung Ku Lee, Dae Wui Yoon, Hyun Joo Cho, Jae Hee Ahn, Ji A. Seo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Chol Shin
    Diabetes Care.2013; 36(12): 3909.     CrossRef
  • Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
    C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
    Diabetic Medicine.2013; 30(9): 1075.     CrossRef
  • Associations among Body Mass Index, Insulin Resistance, and Pancreatic β-Cell Function in Korean Patients with New-Onset Type 2 Diabetes
    Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
    The Korean Journal of Internal Medicine.2012; 27(1): 66.     CrossRef
  • High normal HbA1c levels were associated with impaired insulin secretion without escalating insulin resistance in Japanese individuals: the Toranomon Hospital Health Management Center Study 8 (TOPICS 8)
    Y. Heianza, Y. Arase, K. Fujihara, H. Tsuji, K. Saito, S. D. Hsieh, S. Kodama, H. Shimano, N. Yamada, S. Hara, H. Sone
    Diabetic Medicine.2012; 29(10): 1285.     CrossRef
  • The Prediabetic Period: Review of Clinical Aspects
    Sang Youl Rhee, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2011; 35(2): 107.     CrossRef
  • Predictive characteristics of patients achieving glycaemic control with insulin after sulfonylurea failure
    Y.-H. Lee, B.-W. Lee, S. W. Chun, B. S. Cha, H. C. Lee
    International Journal of Clinical Practice.2011; 65(10): 1076.     CrossRef
  • Early Insulin Secretory Dysfunction in Korean Prediabetic Subjects: Should We Change the Criteria for "Prediabetes?"
    Chul-Hee Kim
    Korean Diabetes Journal.2010; 34(3): 154.     CrossRef
Association of Educational Level and Socioeconomic Status with Glucose Metabolism.
Young Sil Eom, Sun Mee Yang, Pyung Chun Oh, Jung Hyun Lee, Ki Young Lee, Yeun Sun Kim, Sihoon Lee, Jung Soo Im, Jun Yim, Dae Kyu Oh, Moon Suk Nam, Ie Byung Park
Korean Diabetes J. 2008;32(4):377-385.   Published online August 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.4.377
  • 2,378 View
  • 27 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
The objective of the present study was to examine the association of educational level and socioeconomic status with glucose metabolism including prediabetes. METHODS: This cross-sectional study subjects were 882 (mean age: 51.0 +/- 13.4 years, M:F = 241:641) without diabetes, aged more than 20 years and residing in Whasu 2 dong in Incheon. We classified them into three levels according to their educational level: primary (illiterate or up to elementary school), secondary (middle school or high school) and tertiary (university), and into three levels according to their socioeconomic status by self reported questionnaire: low, middle and high. Subjects were diagnosed as three groups (normal, prediabetes and diabetes) by American Diabetes Association criteria using 75 g oral glucose tolerance test. The association of educational level and socioeconomic status with glucose metabolism was analyzed. RESULTS: The number of normal group was 300 (34.0%), that of prediabetes was 470 (53.3%) and that of diabetes was 112 (12.7%). In women, the proportion of primary educational group was larger than that of secondary educational group in diabetes (Odds ratio [OR] = 1.88; 95% confidence interval [CI]: 1.01-3.51) and larger than that of tertiary educational group in prediabetes ([OR] = 2.00; [CI]: 1.06-3.78). But socioeconomic status did not have the statistical association with glucose metabolism in women. Also both educational level and socioeconomic status had no statistical association with glucose metabolism in men. CONCLUSIONS: The proportion of low educational level is larger in prediabetes and diabetes compared with normal group in women.

Citations

Citations to this article as recorded by  
  • How do life-course trajectories of socioeconomic position affect quality of life in patients with diabetes mellitus?
    Hye Ah Lee, Ko Eun Lee, Yool Won Jeong, Jaeseon Ryu, Minkyung Kim, Jung Won Min, Young Sun Hong, Kyunghee Jung-Choi, Hyesook Park
    Quality of Life Research.2014; 23(4): 1337.     CrossRef

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