Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death

Trajectories of Lipid Profile During Adolescence and Risk of Subclinical Atherosclerosis in Early Adulthood: A Two-Decade Population-Based Study

BACKGROUND AND AIMS

To examine the impact of early-life lipid profile trajectories in adolescence on subclinical atherosclerosis, evidenced by carotid intima-media thickness (cIMT) in adulthood.

METHODS AND RESULTS

In this trajectory analysis of 1,006 TLGS participants (472 male, mean age = 14.72 ± 3.23 years) with ≥ 3 lipid measurements and 3-year follow-ups, latent class growth modeling was used to analyze heterogeneity in longitudinal lipid alterations (total cholesterol [TC], triglycerides [TG], high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], and non-HDL-C). The association between lipid trajectories and cIMT values, both as continuous and categorical variable, were evaluated using multivariate regression analysis adjusted for age, sex, body mass index, and systolic blood pressure at the baseline, as well as antihypertensive and lipid-lowering drug use, smoking, physical activity, and desired lipid parameter at the nearest survey to cIMT measurement. During a median follow-up of 17.6 years (1999-2018), the "Rising" trajectories of TC, TG, LDL-C, and non-HDL-C were linked to elevated cIMT values. "Rapid-Rising" trajectories of TG, LDL-C, and non-HDL-C notably amplified the risk (odds ratios (OR) = 2.05 [1.46-2.75], 1.99 [1.35-2.92], and 2.02 [1.45-2.77], respectively). Conversely, the "Decreasing" trajectories of TC, LDL-C, and TG were associated with lower cIMT measures (beta-coefficient = -0.09 [-0.16,-0.03], -0.11 [-0.17,-0.01], and -0.08 [-0.14,-0.02], respectively); also "Decreasing" trajectories of the two former lowered the risk by at least 30 %. While HDL-C "Rapid-Decreasing" trajectory doubled the risk of elevated cIMT (OR = 1.98 [1.47-2.68]).

CONCLUSIONS

The findings showed unfavorable trajectory alterations in all lipid parameters were significantly associated with higher cIMT values, underscoring the need for sustained efforts to monitor lipid levels from early adolescence.

Metabolic syndrome clustering patterns and the association with cardiovascular disease among post-menopausal Korean women

The metabolic syndrome (MetS) is a group of diseases conceptualized as a clustering of risk factors, with the risks of developing MetS in women varying significantly before and after menopause. This study investigated MetS clustering patterns and their association with cardiovascular disease (CVD) risk among post-menopausal women (n = 2479) using data from the Korean Genome Epidemiology Study. Using latent class analysis, three groups emerged: diabetic (5.6%), hypertensive (35.2%), and low-risk (59.2%). Relative to the low-risk group, the diabetic group demonstrated associations with older age, a family history of chronic disease, an increased Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), an elevated white blood cell (WBC) count, experience with hysterectomy, being a non-drinker, more physical activity, and excessive sleep. The hypertensive group was associated with older age, lower monthly income, a family history of chronic disease, increased HOMA-IR, a higher WBC count, more physical activity, and excessive sleep. The diabetic and hypertensive groups had a significantly higher CVD risk than the low-risk group (diabetic: odds ratio [OR] = 2.41 [1.11, 5.27]; hypertensive: OR = 2.46 [1.33, 4.55]). This study identified potential markers for MetS screening in post-menopausal women, highlighting the need for early intervention and personalized healthcare for middle-aged women to reduce CVD risk following menopause.

Causal association study of the dynamic development of the metabolic syndrome based on longitudinal data

The dynamic progression of metabolic syndrome (MetS) includes developmental deterioration and reverse recovery; however, the key factors in this bidirectional progression have not been identified. Our study aimed to use the data obtained from the China Health and Retirement Longitudinal Study (CHARLS) and construct a Bayesian network to explore the causal relationship between influential factor and the development and recovery of MetS. Followed up at 4 years, forward progression of MetS occurred in 1543 and reverse recovery of MetS occurred in 1319 of 5581 subjects. Bayesian Networks showed that hyperuricemia and body mass index (BMI) levels directly influenced progression of MetS, and gender, exercise and age play an indirect role through hyperuricemia and BMI levels; high hemoglobin A1c (HbA1c) and BMI levels directly influenced recovery of MetS, and gender and exercise play an indirect role through BMI levels. Bayesian Network inference found that the rate of progression of MetS in subjects with hyperuricemia increases from 36 to 60%, the rate of progression of MetS in subjects with overweight or obese increases from 36 to 41% and the rate of reverse recovery rate of MetS in subjects with high HbA1c decreased from 33 to 20%. Therefore, attention to individuals at high risk of hyperuricemia, high HbA1c levels, and overweight/obesity should be enhanced, with early detection and following healthy behavioral interventions to prevent, control and delay the progression of MetS and its components.

The Metabolic Syndrome, a Human Disease

This review focuses on the question of metabolic syndrome (MS) being a complex, but essentially monophyletic, galaxy of associated diseases/disorders, or just a syndrome of related but rather independent pathologies. The human nature of MS (its exceptionality in Nature and its close interdependence with human action and evolution) is presented and discussed. The text also describes the close interdependence of its components, with special emphasis on the description of their interrelations (including their syndromic development and recruitment), as well as their consequences upon energy handling and partition. The main theories on MS's origin and development are presented in relation to hepatic steatosis, type 2 diabetes, and obesity, but encompass most of the MS components described so far. The differential effects of sex and its biological consequences are considered under the light of human social needs and evolution, which are also directly related to MS epidemiology, severity, and relations with senescence. The triggering and maintenance factors of MS are discussed, with especial emphasis on inflammation, a complex process affecting different levels of organization and which is a critical element for MS development. Inflammation is also related to the operation of connective tissue (including the adipose organ) and the widely studied and acknowledged influence of diet. The role of diet composition, including the transcendence of the anaplerotic maintenance of the Krebs cycle from dietary amino acid supply (and its timing), is developed in the context of testosterone and β-estradiol control of the insulin-glycaemia hepatic core system of carbohydrate-triacylglycerol energy handling. The high probability of MS acting as a unique complex biological control system (essentially monophyletic) is presented, together with additional perspectives/considerations on the treatment of this 'very' human disease.

Research on the relationship between common metabolic syndrome and meteorological factors in Wuhu, a subtropical humid city of China

As climate conditions deteriorate, human health faces a broader range of threats. This study aimed to determine the risk of death from metabolic syndrome (MetS) due to meteorological factors. We collected daily data from 2014 to 2020 in Wuhu City, including meteorological factors, environmental pollutants and death data of common MetS (hypertension, hyperlipidemia and diabetes), as well as a total number of 15,272 MetS deaths. To examine the relationship between meteorological factors, air pollutants, and MetS mortality, we used a generalized additive model (GAM) combined with a distributed delay nonlinear model (DLNM) for time series analysis. The relationship between the above factors and death outcomes was preliminarily evaluated using Spearman analysis and structural equation modeling (SEM). As per out discovery, diurnal temperature range (DTR) and daily mean temperature (T mean) increased the MetS mortality risk notably. The ultra low DTR raised the MetS mortality risk upon the general people, with the highest RR value of 1.033 (95% CI: 1.002, 1.065) at lag day 14. In addition, T mean was also significantly associated with MetS death. The highest risk of ultra low and ultra high T mean occured on the same day (lag 14), RR values were 1.043 (95% CI: 1.010, 1.077) and 1.032 (95% CI: 1.003, 1.061) respectively. Stratified analysis's result showed lower DTR had a more pronounced effect on women and the elderly, and ultra low and high T mean was a risk factor for MetS mortality in women and men. The elderly need to take extra note of temperature changes, and different levels of T mean will increase the risk of death. In warm seasons, ultra high RH and T mean can increase the mortality rate of MetS patients.

Gender differences in change of metabolic syndrome status and its components on all-cause and cause-specific mortalities: Over a decade follow-up study

BACKGROUND

Accumulating evidence suggests a close association between metabolic syndrome (MetS) and excess risk of mortality. However, whether the dynamic change of MetS and its components could affect cause-specific mortalities and how this relation could be influenced by gender is yet to be clarified.

METHODS AND RESULTS

In this longitudinal cohort, we entered 4904 Iranian adults>30 years (2820 women) from March-1999 and followed up until December-2018. MetS was determined using the joint interim societies (JIS) criteria. Due to change in MetS status over three years, we divided individuals into MetS-free, MetS-recovery, MetS-developed, and MetS-persistent groups. The same categories were defined for each MetS component. Multivariate Cox regression models were employed to compute the adjusted hazard ratios (HRs) and female-to-male relative HRs (F/M-RHRs) for risk of all-cause, cardiovascular (CV), non-CV, and cancer mortalities. To resolve reverse causation, mortalities during the first three years of follow-up were excluded. Subgroup analysis was conducted for non-diabetic and non-hypertensive participants. During 12.5 years of follow-up, 357 all-cause, 112 CV-, and 79 cancer-mortalities occurred. Compared to MetS-free, MetS-persistent raised all-cause- and CV-mortalities in both genders. Same association was found for non-diabetic (HR = 1.66 (1.03-3.00)) or non-hypertensive (HR = 1.89 (1.09-3.64)) women. Moreover, MetS-persistent women with neither hypertension nor diabetes had increased all-cause mortality risk by 88% (F/M-RHR = 3.99 (1.53-5.58)). Women with stable MetS had excess risk of cancer-mortality by 40% (F/M-RHR = 1.63 (1.02-5.06)). Generally, among both genders, recovery from MetS declined risk of mortality events. Regarding MetS components, persistent elevated fasting plasma glucose (FPG) was related to all-cause mortality in both genders, but with stronger association in women (F/M-RHR = 1.41 (1.11-2.49), and CV-mortality only in women (F/M-RHR = 3.04 (1.02-5.96). Both development and stable status of high blood pressure (BP) increased the risk of CV-mortality merely in women (F/M-RHR = 3.10 (0.60-6.87) and F/M-RHR = 3.24 (1.26-6.11), respectively). Development or recovery from each Triglyceride, HDL-C, and waist circumference variables did not solely affect risk of mortality events in both genders.

CONCLUSION

Stable status of MetS could increase risk of mortalities with an overall stronger association in women. Although elevated BP and FPG are the main drivers for mortality risk, MetS among women could carry the corresponding effect even in absence of hypertension and diabetes.

Opportunities and challenges for sweat-based monitoring of metabolic syndrome via wearable technologies

Metabolic syndrome is a prevalent condition in adults over the age of 65 and is a risk factor for developing cardiovascular disease and type II diabetes. Thus, methods to track the condition, prevent complications and assess symptoms and risk factors are needed. Here we discuss sweat-based wearable technologies as a potential monitoring tool for patients with metabolic syndrome. We describe several key symptoms that can be evaluated that could employ sweat patches to assess inflammatory markers, glucose, sodium, and cortisol. We then discuss the challenges with material property, sensor integration, and sensor placement and provide feasible solutions to optimize them. Together with a list of recommendations, we propose a pathway toward successfully developing and implementing reliable sweat-based technologies to monitor metabolic syndrome.

Metabolic syndrome is a risk factor for developing cardiovascular disease and type II diabetes. Lyzwinski, Elgendi and colleagues discuss the potential role of sweat-based wearable technologies for monitoring metabolic syndrome along with engineering challenges towards implementation and optimization

Cost-Effectiveness Analysis of Personalized Hypertension Prevention

BACKGROUND

While a population-wide strategy involving lifestyle changes and a high-risk strategy involving pharmacological interventions have been described, the recently proposed personalized medicine approach combining both strategies for the prevention of hypertension has increasingly gained attention. However, a cost-effectiveness analysis has been hardly addressed. This study was set out to build a Markov analytical decision model with a variety of prevention strategies in order to conduct an economic analysis for tailored preventative methods.

METHODS

The Markov decision model was used to perform an economic analysis of four preventative strategies: usual care, a population-based universal approach, a population-based high-risk approach, and a personalized strategy. In all decisions, the cohort in each prevention method was tracked throughout time to clarify the four-state model-based natural history of hypertension. Utilizing the Monte Carlo simulation, a probabilistic cost-effectiveness analysis was carried out. The incremental cost-effectiveness ratio was calculated to estimate the additional cost to save an additional life year.

RESULTS

The incremental cost-effectiveness ratios (ICER) for the personalized preventive strategy versus those for standard care were -USD 3317 per QALY gained, whereas they were, respectively, USD 120,781 and USD 53,223 per Quality-Adjusted Life Year (QALY) gained for the population-wide universal approach and the population-based high-risk approach. When the ceiling ratio of willingness to pay was USD 300,000, the probability of being cost-effective reached 74% for the universal approach and was almost certain for the personalized preventive strategy. The equivalent analysis for the personalized strategy against a general plan showed that the former was still cost-effective.

CONCLUSIONS

To support a health economic decision model for the financial evaluation of hypertension preventative measures, a personalized four-state natural history of hypertension model was created. The personalized preventive treatment appeared more cost-effective than population-based conventional care. These findings are extremely valuable for making hypertension-based health decisions based on precise preventive medication.

Modulation of the Gut Microbiota by Fufang-Zhenzhu-Tiaozhi Capsule Attenuates Hypertension Induced by a High-Fructose and High-Salt Diet

Hypertension is frequently comorbid with the disorders of glucose and lipid metabolism. The increased intakes of fructose and salt contribute to the development of hypertension and related metabolic disorders, which are closely associated with gut dysbiosis. Fufang-Zhenzhu-Tiaozhi capsule (FTZ), a traditional Chinese patent medicine commonly used in clinical practice, has recently emerged as a promising drug candidate for metabolic diseases. In this study, FTZ treatment is identified as attenuating blood pressure increase and improving the metabolism of lipid and uric acid in high-fructose and high-salt (HFS) diet-fed rats. FTZ also substantially alleviated renal fibrosis and the mRNA expression of inflammation cytokines, NADPH oxidases, and the renin–angiotensin system in the renal cortex. 16S rRNA sequencing of fecal samples revealed that FTZ restored HFS-induced gut dysbiosis, seen as increased intestinal microbial richness and diversity. Furthermore, fecal microbiota transplantation also achieved similar therapeutic effects and alterations in gut microbiota profile induced by FTZ. Taken together, this study highlights the efficacy of FTZ in attenuating HFS-induced hypertension and related metabolic disorders and renal injury. The antihypertensive effect is associated with the modulation of gut microbiota.

Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

AIM

Metabolic syndrome (MetS) coexists with the occurrence and even death of cardiovascular disease and diabetes mellitus. It is essential to study the factors in the dynamic progression of MetS in the interest of prevention and control.

PURPOSE

The aim of this study was to analyze the dynamic progression of Mets and explore the potential factors influencing the progression or reversal of MetS.

PATIENTS AND METHODS

This study involved 5581 individuals from two waves of the China Health and Retirement Longitudinal Study: 2011 and 2015. A multistate Markov model containing 4 states (free of metabolic disorder (FMD), mild metabolic disorder (MMD), severe metabolic disorder (SMD) and MetS) was adopted to study the dynamic progression of MetS and its influencing factors.

RESULTS

After follow-up, a total of 2862 cases (50.28% of the total number) had disease state transition. The intensity of transition from MetS to SMD is the same as that from SMD to MMD, and is greater than that from MMD to Mets (0.06 vs 0.05). For the MetS state, a mean of 1/0.08=12.5 years was spent in the MetS state before recovery. The exercise, smoke, drink, BMI level, hyperuricemia had statistically significant effects on progression of MetS status (P<0.05). The obesity or overweight, little exercise, smoke, drink and hyperuricemia increased the risk of forward progression of MetS disease status. There were significant nonmodifiable (age, gender) and modifiable factors (exercise, drink, BMI level, or high HbA1c) associated with reversion of MetS state.

CONCLUSION

The likelihood of progression from MMD to MetS is less likely than that of reversion from MetS to SMD and SMD to MMD. Old females were more resistant to recover from worse states than males. Prevention and intervention measures should be adopted early when MMD or SMD onset occurs.