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Abdisa KB, Szerdahelyi E, Molnár MA, Friedrich L, Lakner Z, Koris A, Toth A, Nath A. Metabolic Syndrome and Biotherapeutic Activity of Dairy (Cow and Buffalo) Milk Proteins and Peptides: Fast Food-Induced Obesity Perspective-A Narrative Review. Biomolecules 2024; 14:478. [PMID: 38672494 PMCID: PMC11048494 DOI: 10.3390/biom14040478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/30/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Metabolic syndrome (MS) is defined by the outcome of interconnected metabolic factors that directly increase the prevalence of obesity and other metabolic diseases. Currently, obesity is considered one of the most relevant topics of discussion because an epidemic heave of the incidence of obesity in both developing and underdeveloped countries has been reached. According to the World Obesity Atlas 2023 report, 38% of the world population are presently either obese or overweight. One of the causes of obesity is an imbalance of energy intake and energy expenditure, where nutritional imbalance due to consumption of high-calorie fast foods play a pivotal role. The dynamic interactions among different risk factors of obesity are highly complex; however, the underpinnings of hyperglycemia and dyslipidemia for obesity incidence are recognized. Fast foods, primarily composed of soluble carbohydrates, non-nutritive artificial sweeteners, saturated fats, and complexes of macronutrients (protein-carbohydrate, starch-lipid, starch-lipid-protein) provide high metabolic calories. Several experimental studies have pointed out that dairy proteins and peptides may modulate the activities of risk factors of obesity. To justify the results precisely, peptides from dairy milk proteins were synthesized under in vitro conditions and their contributions to biomarkers of obesity were assessed. Comprehensive information about the impact of proteins and peptides from dairy milks on fast food-induced obesity is presented in this narrative review article.
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Affiliation(s)
- Kenbon Beyene Abdisa
- Department of Food Process Engineering, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 44, HU-1118 Budapest, Hungary; (K.B.A.)
| | - Emőke Szerdahelyi
- Department of Nutrition, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Somlói út 14-16, HU-1118 Budapest, Hungary;
| | - Máté András Molnár
- Department of Food Process Engineering, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 44, HU-1118 Budapest, Hungary; (K.B.A.)
| | - László Friedrich
- Department of Refrigeration and Livestock Product Technology, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 43-45, HU-1118 Budapest, Hungary
| | - Zoltán Lakner
- Department of Agricultural Business and Economics, Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Villányi út 29-43, HU-1118 Budapest, Hungary
| | - András Koris
- Department of Food Process Engineering, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 44, HU-1118 Budapest, Hungary; (K.B.A.)
| | - Attila Toth
- Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond út 22, HU-4032 Debrecen, Hungary
| | - Arijit Nath
- Department of Food Process Engineering, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 44, HU-1118 Budapest, Hungary; (K.B.A.)
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An JH, Han KD, Jeon HJ. Higher metabolic variability increases the risk of depressive disorder in type 2 diabetes mellitus: a longitudinal nationwide cohort study. Front Psychiatry 2023; 14:1217104. [PMID: 37555004 PMCID: PMC10405173 DOI: 10.3389/fpsyt.2023.1217104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/05/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVES While variabilities in metabolic parameters (METv) have been linked to adverse health outcomes in type 2 DM, their association with depression is yet to be studied. This research aimed to investigate the association between METv and depressive disorder in patients with type 2 DM. METHODS The study involved a nationwide cohort of 1,119,631 type 2 DM patients who had undergone three or more serial health examinations between 2005 and 2012. At each visit, body mass index (BMI), fasting glucose (FG), systolic blood pressure (BP), and total cholesterol (TC) were measured and stratified into quartiles, with Q4 being the highest and Q1 the lowest. The risk of depressive disorder was evaluated using Cox proportional hazard regression models, which accounted for METs in the indexes, after adjusting for sex, income status, lifestyle habits, medical comorbidities, DM severity, and baseline levels of BMI, FG, BP, and TC. RESULTS During a mean follow-up period of 6.00 ± 2.42 years, 239,477 (21.4%) cases of type 2 DM patients developed depressive disorder. The risk of developing depressive disorder was gradually increased as the number of METv increased (HR 1.18; 95% CI 1.13, 1.23 for the group with the highest METv in all parameters compared to those with the lowest METv in all parameters). In the subgroup analysis, the risk of developing depressive disorder was 43% higher in men (HR 1.43; 95% CI 1.34, 1.51), and 31% higher in those younger than 65 years of age (HR 1.31; 95% CI 1.23, 1.39) in the group with the highest number of METv compared to the group with the lowest number of METv. CONCLUSION In type 2 DM, higher METv was an independent risk factor for depressive disorder. This risk is notably elevated in men and individuals under the age of 65 years.
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Affiliation(s)
- Ji Hyun An
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyung-do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences and Technology, Department of Medical Device Management and Research, Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
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Liu Y, Xu H, Li J, Yang Y, Zhang J, Liu X, Li J, Yu Y, Qin G. Separate and combined effect of visit-to-visit glycaemic variability and mean fasting blood glucose level on all-cause mortality in patients with type 2 diabetes: A population-based cohort study. Diabetes Obes Metab 2022; 24:2400-2410. [PMID: 35876225 DOI: 10.1111/dom.14826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/12/2022] [Accepted: 07/20/2022] [Indexed: 11/29/2022]
Abstract
AIMS To assess the independent and combined impacts of visit-to-visit fasting blood glucose variability (VVV-FBG) and mean fasting blood glucose level (M-FBG) on all-cause mortality. MATERIALS AND METHODS This prospective cohort study included 48 843 Chinese patients with type 2 diabetes. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the association of VVV-FBG and M-FBG with all-cause mortality. The potential nonlinear associations were examined using restricted cubic splines, and additive interaction was evaluated using relative excess risk due to interaction (RERI). Cox generalized additive models (CGAMs) and bivariate response surface models were further used to assess the combined effects of VVV-FBG and M-FBG. RESULTS A total of 4087 deaths were observed during a median follow-up of 6.99 years. Compared with patients with values at the 5th percentile of average real variability (ARV) and M-FBG, we observed a 23% and 38% increased risk of premature deaths among those with values at the 95th percentile of ARV (HR 1.23, 95% CI 1.10, 1.37) and M-FBG (HR 1.38, 95% CI 1.26, 1.51), respectively. The interaction between glycaemic variability (ARV) and M-FBG was significant on both the additive scale (RERI 0.80 [0.29, 1.32]) and the multiplicative scale (HR 1.90 [1.10, 3.28]). High VVV-FBG and high M-FBG conferred the highest risk of all-cause mortality (HR 1.89, 95% CI 1.64, 2.17), compared to low VVV-FBG and low M-FBG. The CGAMs showed significant synergistic effects between glycaemic variability and M-FBG (P < 0.05). Moreover, a bivariate surface plot showed that risk of death increased more rapidly in type 2 diabetes patients with lower M-FBG combined with lower VVV-FBG. CONCLUSIONS The coexistence of high glycaemic variability and high glucose level might exacerbate the independent risk of premature mortality in type 2 diabetes patients, highlighting the importance of achieving normal and stable glucose levels simultaneously in the management of glucose.
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Affiliation(s)
- Yahang Liu
- Department of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Huilin Xu
- Shanghai Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Jun Li
- Shanghai Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Yating Yang
- Department of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Jie Zhang
- Department of Public Health, Aarhus University, Aarhus, Denmark
- NCRR-National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Xiaoqin Liu
- NCRR-National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Jiong Li
- Department of Clinical Medicine-Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Yongfu Yu
- Department of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, China
| | - Guoyou Qin
- Department of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, China
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Kresnajati S, Lin YY, Mündel T, Bernard JR, Lin HF, Liao YH. Changes in Arterial Stiffness in Response to Various Types of Exercise Modalities: A Narrative Review on Physiological and Endothelial Senescence Perspectives. Cells 2022; 11. [PMID: 36428973 DOI: 10.3390/cells11223544] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 11/12/2022] Open
Abstract
Arterial stiffness is a reliable independent predictor of cardiovascular events. Exercise training might enhance arterial compliance through improved metabolic health status. Different modes of exercise may have different effects on arterial stiffness. However, the interactions among different modes of exercise on endothelial senescence, the development of arterial vascular stiffness, and the associated molecular mechanisms are not completely understood. In this narrative review, we evaluate the current evidence focusing on the effects of various exercise modes on arterial stiffness and vascular health, and the known underlying physiological mechanisms are discussed as well. Here, we discuss the most recent evidence of aerobic exercise, high-intensity interval training (HIIT), and resistance exercise (RE) on arterial stiffness and endothelial senescence in physiological and cellular studies. Indeed, aerobic, HIIT, and progression RE-induced arterial compliance may reduce arterial stiffness by effectively promoting nitric oxide (NO) bioavailability and reducing endothelial senescence. However, the transient increase in inflammation and sympathetic activation may contribute to the temporary elevation in arterial stiffness following whole-body high-intensity acute resistance exercise.
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Zhao M, Song L, Zhao Q, Chen Y, Li B, Xie Z, Fu Z, Zhang N, Cheng X, Li X, Wang M, Wu S, Xue H, Li Y. Elevated levels of body mass index and waist circumference, but not high variability, are associated with an increased risk of atrial fibrillation. BMC Med 2022; 20:215. [PMID: 35765047 PMCID: PMC9241273 DOI: 10.1186/s12916-022-02413-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 05/23/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Although obesity has been associated with risk of atrial fibrillation (AF), the associations of variability of obesity measures with AF risk are uncertain, and longitudinal studies among Chinese population are still lacking. We aimed to evaluate the impacts of obesity and variability of body mass index (BMI) and waist circumference (WC) on the risk of atrial fibrillation (AF) in a large Chinese cohort study. METHODS A total of 44,135 participants of the Kailuan Study who were free of cancer and cardiovascular disease and underwent three consecutive surveys from 2006 to 2010 were followed for incident AF until 2020. Average BMI and WC over time and variability were calculated. Cox proportional hazards regression models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations of obesity and variability in BMI and WC with AF risk. RESULTS During a mean follow-up of 9.68 years, there were 410 cases of incident AF. In multivariable-adjusted models, compared with normal BMI/WC, individuals with general obesity and abdominal obesity had increased risk of AF, with corresponding HRs of 1.73 (95% CI: 1.31-2.30) and 1.38 (95% CI: 1.11-1.60), respectively. The short-term elevation in AF risk persisted for the obese even after adjustment for updated biologic intermediaries and weight. Variability in BMI and WC were not associated with the risk of AF. The restricted cubic spline models indicated significant linear relationships between levels of WC and BMI and risk of AF. CONCLUSIONS Elevated levels of BMI and WC were associated with an increased risk of AF, whereas variability in BMI and WC were not. Therefore, achieving optimal levels of BMI and WC could be valuable in AF prevention.
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Affiliation(s)
- Maoxiang Zhao
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qianqian Zhao
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Yating Chen
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Bin Li
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Zhonghui Xie
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Zihao Fu
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Nan Zhang
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Xiaowei Cheng
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China
| | - Xiaoqian Li
- Department of Cardiology, Fujian Medical University, Fuzhou, China
| | - Miao Wang
- School of Medicine, Nankai University, Tianjin, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, Tangshan, China.
| | - Hao Xue
- Department of Cardiology, the Sixth Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China.
| | - Yang Li
- Department of Cardiology, The First Medical Center, Chinese People's Liberation Army Hospital, Medical School of Chinese People's Liberation Army, Beijing, China.
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Li W, Qiu X, Ma H, Geng Q. Incidence and long-term specific mortality trends of metabolic syndrome in the United States. Front Endocrinol (Lausanne) 2022; 13:1029736. [PMID: 36733801 PMCID: PMC9886893 DOI: 10.3389/fendo.2022.1029736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 12/30/2022] [Indexed: 01/19/2023] Open
Abstract
PURPOSE Metabolic syndrome (MetS) is extremely prevalent and related to severe diseases and death. This study aims to investigate the incidence and mortality trends among MetS over the past few decades. The gender and age differences of MetS are also explored. PATIENTS AND METHODS Adults with MetS were screened in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014. The mortality data were also acquired. Then we assessed the incidence and mortality trends of MetS in the United States. RESULTS Our study included 14171 participants with a mean age of 46.8 ± 19.3 years, of whom 7354 (51.9%) were women. Among them, 4789 participants were subsequently diagnosed with MetS. From 1999 to 2014, the overall trend of MetS incidence increased (from 27.6 to 32.3%; adjusted odds ratios [aOR], 1.71; 95% confidence interval [CI], 1.42-2.05; P-value <0.001, P for trend <0.001). In more detail, the incidence of MetS rose first but subsequently plateaued and declined. Obvious downward trends were observed from 29.6 to 2.7% for all-cause mortality (aOR, 0.12; 95%CI, 0.07-0.21; P-value <0.001, P for trend <0.001) and 4.8 to 0.8% for cardio-cerebrovascular mortality (aOR, 0.17; 95%CI, 0.05-0.61; P-value =0.007, P for trend <0.001). All-cause mortality decreased yearly, whereas cardio-cerebrovascular death increased briefly before declining and stabilizing. Similarly, the temporal mortality trends in MetS patients of different ages and genders had the same results. Specifically, the incidence of MetS was higher in women than in men (adjusted P =0.003; OR, 1.14; 95%CI, 1.05-1.24), but the mortality was significantly lower after an average of 7.7 years of follow-up (all-cause mortality, adjusted P <0.001; hazard ratio [HR], 0.68; 95%CI, 0.57-0.81; cardio-cerebrovascular mortality, adjusted P =0.004; HR, 0.55; 95%CI, 0.37-0.83). CONCLUSION From 1999 to 2014, the incidence of MetS in U.S. adults significantly increased overall, while the mortality rate of MetS had a considerable downward trend. Both trends showed marked gender differences, being more prevalent and at lower risk in women compared with men. It is important to identify the factors that will curb the incidence of MetS and decrease mortality, especially in male patients.
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Affiliation(s)
| | | | - Huan Ma
- *Correspondence: Huan Ma, ; Qingshan Geng,
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Jiang M, Li X, Wu H, Su F, Cao L, Ren X, Hu J, Tatenda G, Cheng M, Wen Y. Triglyceride-Glucose Index for the Diagnosis of Metabolic Syndrome: A Cross-Sectional Study of 298,652 Individuals Receiving a Health Check-Up in China. Int J Endocrinol 2022; 2022:3583603. [PMID: 35814916 PMCID: PMC9259285 DOI: 10.1155/2022/3583603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 06/13/2022] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE We herein aim to explore the relationship between the triglyceride-glucose (TyG) index and metabolic syndrome (MS). METHODS We enrolled 298,652 individuals with an average age of 47.08 ± 12.94 years and who underwent health check-ups at the First Affiliated Hospital of Wuhu Wannan Medical College in this cross-sectional study from 2014 to 2016. We enlisted 125,025 women (41.86%) and 173,627 men (58.14%). The survey information included a questionnaire survey, a physical examination, and a laboratory examination. RESULTS The prevalence of MS increased gradually in the TyG-index subgroups (Q1, TyG <8.30; Q2, 8.30≤ TyG <8.83; and Q3, TyG ≥8.83). We noted significant differences in hypertension, hyperlipidemia, hyperglycemia, sex, age, body mass index (BMI), smoking and drinking habits, and estimated glomerular filtration rate between the TyG-index subgroups. Multiclass logistic regression analysis showed that the group with TyG <8.30 was the reference group, and the 8.30≤ TyG <8.83 and the TyG ≥8.83 groups exhibited a higher TyG index with MS, and a lower TyG index without MS disease. In the linear curve analysis of the TyG index and MS components, BMI, systolic blood pressure, and diastolic blood pressure showed upward trends, while high-density lipoprotein cholesterol showed no obvious trend in the TyG index at a range of 7.8-11.0. Receiver operating characteristic analysis was used to evaluate the predictive value of the TyG index, triglycerides, and fasting blood glucose for MS, and we found that the area under the TyG index curve was the largest (AUC = 0.89). CONCLUSION There were associations between the TyG index and MS and its components, and the TyG index is therefore of great value in the early diagnosis of MS.
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Affiliation(s)
- Mingfei Jiang
- Department of Diagnostics, School of Clinical Medicine, Wannan Medical College, Wuhu 214002, Anhui, China
| | - Xiaoran Li
- Department of Radiology, Nanjing Gaochun People's Hospital, Nanjing 211300, Jiangsu, China
| | - Huan Wu
- Department of Health and Quarantine, School of Laboratory Medicine, Wannan Medical College, Wuhu 214002, AnHui, China
| | - Fan Su
- Department of Prevention Medical, School of Public Health, Wannan Medical College, Wuhu 214002, AnHui, China
| | - Lei Cao
- Department of Prevention Medical, School of Public Health, Wannan Medical College, Wuhu 214002, AnHui, China
| | - Xia Ren
- Department of Prevention Medical, School of Public Health, Wannan Medical College, Wuhu 214002, AnHui, China
| | - Jian Hu
- Department of Prevention Medical, School of Public Health, Wannan Medical College, Wuhu 214002, AnHui, China
| | - Grace Tatenda
- Department of Prevention Medical, School of Public Health, Wannan Medical College, Wuhu 214002, AnHui, China
| | - Mingjia Cheng
- Department of Diagnostics, School of Clinical Medicine, Wannan Medical College, Wuhu 214002, Anhui, China
| | - Yufeng Wen
- Department of Prevention Medical, School of Public Health, Wannan Medical College, Wuhu 214002, AnHui, China
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