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Metabolic Syndrome and Cardiovascular Disease: A Health Challenge in Mexico

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Metabolic Syndrome (MetS) is a cluster of risk factors that, taken alone or synergically, are independent predictors of type 2 diabetes and cardiovascular disease (CVD), which are both major public health problems that requires urgent containment actions. Current controversies regarding MetS are focused on ascertain the unifying explanation of molecular and pathophysiological mechanisms originating the syndrome, involving insulin resistance and low-grade chronic inflammation. This review aims to present the clinical relevance of MetS and its complications, as well as the hypotheses addressing its etiopathogenic relation with CVD. We conclude that health policies should emphasize basic research promotion, timely detection and early treatment of MetS, which will help to reduce the risk of CVD and their impact on public health and health-care related costs.
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REVIEW ARTICLE
Metabolic Syndrome and Cardiovascular Disease: A Health Challenge
Antonio Gonzalez-Ch
avez,
a
Jos
e Alejandro Ch
avez-Fern
andez,
b
Sandra Elizondo-Argueta,
c
Alonso Gonz
alez-Tapia,
d
Jos
e Israel Le
on-Pedroza,
a,e
and Cesar Ochoa
f
a
Servicio de Medicina Interna, Hospital General de M
exico, Dr. Eduardo Liceaga, Ciudad de M
exico, M
exico
b
Servicio de Cardiolog
ıa, Hospital General de M
exico, Dr. Eduardo Liceaga, Ciudad de M
exico, M
exico
c
Division de Proyectos Especiales en Salud, Instituto Mexicano del Seguro Social, Ciudad de Mexico, Mexico
d
Instituto Nacional de Cardiolog
ıa, Ciudad de M
exico, M
exico
e
Divisi
on de Estudios de Posgrado, Programa de Maestr
ıa en Administraci
on de Sistemas de Salud, Facultad de Contadur
ıa y Administraci
on, Universidad
Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico
f
Western Diabetes Institute, Western University of Health Sciences, Pomona, California, USA
Received for publication July 1, 2018; accepted October 12, 2018 (ARCMED_2018_187).
Metabolic Syndrome (MetS) is a cluster of risk factors that, taken alone or synergically,
are independent predictors of type 2 diabetes and cardiovascular disease (CVD), which
are both major public health problems that requires urgent containment actions. Current
controversies regarding MetS are focused on ascertain the unifying explanation of molec-
ular and pathophysiological mechanisms originating the syndrome, involving insulin
resistance and low-grade chronic inflammation. This review aims to present the clinical
relevance of MetS and its complications, as well as the hypotheses addressing its etiopa-
thogenic relation with CVD. We conclude that health policies should emphasize basic
research promotion, timely detection and early treatment of MetS, which will help to
reduce the risk of CVD and their impact on public health and health-care related
costs. Ó2018 IMSS. Published by Elsevier Inc. All rights reserved.
Key Words: Inflammation, Insulin resistance, Atherosclerosis, Metabolic syndrome, Cardiovascular
disease.
Introduction
Metabolic Syndrome (MetS) is a multifactorial disorder
defined by a combination of altered metabolism of glucose,
lipids, obesity and/or arterial pressure elevation (1). Addi-
tion of several factors is strongly related to atherosclerotic
cardiovascular disease (CVD) and type 2 diabetes (DT2)
development (2). This constellation of biochemical and
clinical abnormalities are related to insulin resistance
(3,4), low grade inflammation (5), oxidative stress (6) and
adiposity dysfunction, and it is associated, in the long term,
with cardiovascular events and death.
Even though concept development and globalization are
recent, association of its components and consequences is
historical. For example, Joannes Baptista Morgagni
(1682e1771) in his IV Anatomo-clinical epistle liber pri-
mus described an obese, sedentary, with migraine man that
developed cardiac insufficiency and died from a cerebro-
vascular event (arterial hypertension) and pulmonary
edema. Necropsy findings suggested advanced atheroscle-
rotic disease (probably dyslipidemia) together with vesical
lithiasis (hyperuricemia) (7). On the other hand, archaeolo-
gist Joyce Tyldesley described in Hatshepsut mummy
(Egyptian queen-pharaoh 1490e1468 BC) the coexistence
of obesity, T2D and cancer (8), showing the natural history
of the MetS and its complications.
MetS can be used as risk marker for CVD and death. A
meta-analysis published by Ford E. reviewed prospective
studies from 1998e2004; it concluded that MetS increases
risk for CVD (Relative Risk (RR): 1.65; CI 95%:
1.38e1.99; p50.009) and T2D (RR: 3.08, CI 95%:
Address reprint requests to: Antonio Gonzalez-Ch
avez, Dr., Servicio
de Medicina Interna, Hospital General de M
exico, Dr Eduardo Liceaga,
Dr Balmis 148, Col. Doctores, 06720, Ciudad de M
exico, M
exico; Phone:
(þ52) (55) 2789-2000 ext 1051; E-mail: antoniogonzalezchavez51@
gmail.com
0188-4409/$ - see front matter. Copyright Ó2018 IMSS. Published by Elsevier Inc. All rights reserved.
https://doi.org/10.1016/j.arcmed.2018.10.003
Archives of Medical Research 49 (2018) 516e521
2.16e4.40; p50.001). On the other hand, mortality by any
cause had no significative increase (9). Moreover, ARIC
study (1987e1989) reported similar results in a cohort of
14,502 subjects under ATP III diagnostic criteria; those
meeting MetS criteria doubled their risk of myocardial
infarction (MI) or coronary revascularization requirement
and RR for stroke was 1.42 (CI 95%:0.96e2.11) in men
and 1.96 (CI 95%: 1.28e3.00) in women (10).
It is clear that MetS is an entity that includes risk factors
that, either individually or in group, have predictive ability.
Current controversies are mainly focused on ascertain its
cause and explaining the pathophysiological and immuno-
logical process leading to adverse events. Therefore, it is
of crucial importance to describe existing hypothesis about
MetS origin and its interrelation with CVD.
Hypothetical origin of MetS and cardiovascular disease:
interrelation of multiple mechanisms
Combination of sedentarism, physical inactivity, genetical
factors and overnutrition predispose to metabolic dysregu-
lation leading into insulin resistance, ectopic fat depots,
low-grade inflammation and endoplasmic reticulum stress.
The time elapsed from cellular dysfunction to clinical overt
disease is several years and can be modified with dietary
style changes, exercise and/or specific pharmacotherapy.
Insulin Resistance
Insulin resistance (IR) (11) is a general term that describes
that circulating insulin subsides its physiological effects in
sensitive tissues, as skeletal muscle, adipose tissue, liver
and pancreas (target tissues for glucose metabolism) (12).
Insulin resistance is associated with asymptomatic athero-
sclerosis and coronary artery disease. Fasting insulin level
(IR marker) is an independent predictor of cardiovascular
events even in non-diabetic subjects. A meta-analysis of
65 studies revealed that IR (evaluated by HOMA) was a
stronger predictor of cardiovascular events compared to
fasting insulin or glucose levels alone. IR could cause
atherogenesis and plaque progression by multiple mecha-
nisms. Several studies, even in patients without stablished
CVD, have reported altered lipid metabolism and low-
grade inflammation as key biochemical processes involved
in pathogenesis of the atherosclerotic coronaropathy.
Insulin resistance, lipids and atherogenesis: a maladaptive
answer. Visceral fat accumulation increases morbidity and
mortality, and it ends in CVD (13e15).Hypertrophyof
visceral adipose cells promote macrophage infiltration react-
ing to inflammatory mediators, such as TNF-like weak
inducer of apoptosis (TWEAK) (16). These adipocytes have
a lower insulin sensitivity to its antilipolytic effects, and they
generate a proinflammatory microenvironment (17).This
produces a charge of free fatty acids (FFA) in portal circula-
tion delivered to the liver and other organs, promoting IR
and ectopic storage of fat. Portal flux of FFA stimulates liver
production of very low-density cholesterol (VLDL), result-
ing in hypertriglyceridemia (18). This triglycerides (TGD)
overflow is transferred to particles of low-density cholesterol
(LDL); hepatic lipase-mediated hydrolysis produces dense
low-density cholesterol particles (dLDL), more oxidizable
than LDL, with a higher ability to get in arterial walls and
thus, more atherogenic. Therefore, IR favors atherogenic
dyslipidemia with an increase in LDL/dLDL ratio (14,19).
Nevertheless, it is not fully understood how plasma FFA
are linked with MetS early pathogenic process and what
are their role in adults with normal weight and IR.
IR with high levels of FFA in portal blood flow along with
peripheral decrease of insulin sensitivity promote gluconeo-
genesis that contributes to hyperglycemia. Pancreatic beta
cells respond increasing insulin secretion (hyperinsuline-
mia). Eventually, this continued stimulation causes hypertro-
phy, endoplasmic reticulum stress, pyroptosis and death by
autophagia of these cells, leading to T2D. As a matter of
fact, hyperglycemia has a correlation with CVD even in
non-diabetic ranges, beginning from 86e110 mg/dL and
glycated hemoglobin of 5e6.9% (20,21).
Insulin Resistance, Immune and Inflammatory Response
The unbalance in caloric consumption/energetic expense
leads to adipocyte hypertrophy that makes blood supply
to this tissue insufficient. The resulting hypoxia triggers
oxidative stress associated with increasing levels of tumor
necrosis factor (TNF) and leptin, and lowers levels of
anti-inflammatory factors, like IL-10 and adiponectin. The
apoptosis of adipocytes induces infiltration of macrophages
and T lymphocytes (mainly Th1 and CD8þ), systemic in-
crease in macrophage chemoattractant protein-1 (MCP-1),
macrophage migration inhibitory factor (MIF-1) and che-
mokine CCL5. These proinflammatory cytokines have au-
tocrine or paracrine effects inducing IR in peripheral
tissues as well as in macrophages; probably by AMPK
decrease, ending up with mitochondrial dysfunction and in-
crease in oxygen reactive species, inflammasome NLRP3
and finally IL-1b(22).
Macrophages contribute to atherosclerosis development.
Hyperglycemia enhances monocyte adhesion and migration
to the intima and induces hyperplasia of smooth muscle
cells. The insulin-resistant macrophages are more suscepti-
ble to apoptosis in atherosclerotic plaques, which might
promote plaque necrosis and rupture (inflammation,
decreased collagen production and deterioration by prote-
ases) and thrombosis, yielding higher risk for CVD (for
instance; MI or stroke) (11).
Insulin Resistance, Endothelium, Thrombosis and Arterial
Hypertension
Endothelial dysfunction is strongly related to IR. Hypergly-
cemia and IR cause leukocyte adherence, superoxide
517Metabolic Syndrome and Cardiovascular Disease: A Health Challenge
production and alter endothelial function through inhibition
of nitric oxide production, increase of adhesion molecule
type 1 (ICAM-1), vascular cell adhesion molecule
(VCAM-1), endothelin and E-selectin expression, and
angiotensin II and plasminogen activator inhibition in an
Akt-dependent manner (5,6). Noteworthy, IR and hypergly-
cemia increase thrombus formation and platelet aggregation
and are associated to impaired fibrinolysis by an increase of
plasminogen activator inhibitor type 1 (up to 2.5 times
more). Therefore, MetS patients tend to thrombus forma-
tion and fibrinolysis resistance (23).
Arterial hypertension is widely related to MetS (24). Hy-
perinsulinemia diminishes sodium excretion, resulting in a
positive sodium balance that increases intravascular volume,
damaging vascular and cardiac relaxation (25). Inflamed ad-
ipose tissue (responsible for up to 30% of extra-adrenal aldo-
sterone production) causes angiotensin-aldosterone system
activation (RAS) (26). Sympathetic nervous system (SNS)
is activated by leptin increase (27), which chronically re-
duces natriuresis and availability of nitric oxide. Therefore,
sodium positive balance, RAS, SNS alterations, hyperlepti-
nemia and IR induce plasmatic volume expansion and in-
crease peripheral vascular resistance, which in a long term
might develop left ventricular concentric hypertrophy, dia-
stolic dysfunction (24) or CVD.
Metabolic Syndrome: Prevalence and Diagnosis
According to National Health and Nutrition Examination
Survey (NHANES) current prevalence of MetS in the
United States of America is about 34% in young adults un-
der 60 years or age and 54% for older ones. In other coun-
tries prevalence is less, but also significant: in China, 24%
and India, 33.5% (24).
A review by O’Neill et al. (2) reported MetS prevalence
in several countries according to NCEP-ATPIII classifica-
tion: 24.4% for Australian men and 19.9% for women;
9.8% for Chinese men and 17.8% for women; 18.6% in
Danish men and 14.3% for women, and 17.1% for Indian
men and 19.4% for women. However, these data could be
different if different criteria are applied, such those from In-
ternational Diabetes Federation (IDF).
In Mexico, according to the National Survey ENSANUT
2006 (28) (Encuesta Nacional de Salud y Nutrici
on 2006)
prevalence of MetS is between 36.8 and 49.8%, depending
on the criteria used. In the more recent ENSANUT Medio Ca-
mino 2016 (29) prevalence of MetS is still not determined, but
behavior of associated factors might point out to its increase
with a prevalence of up to 50% in older than 18 years (one
out of two Mexicans would have MetS) mostly associated to
overweight and obesity. In Tab l e 1 , comparative data of
different surveys related to chronic diseases, are presented.
Since 1988, when Reaven described this syndrome,
different diagnostic criteria have been proposed (Table 2)
where one of the main differences is the measurement of
central obesity. One of the more accepted definitions comes
from a working team that in 2009 defined MetS as risk fac-
tors for CVD and T2D, associated more frequently than ex-
pected only by chance, including glucose alterations,
increase in arterial pressure and TGD, low levels of high-
density lipoproteins and central obesity (30).
Table 1. Comparison of prevalence of self-reported chronic diseases in
National Health and Nutrition Surveys (ENSANUT) 2012 and 2016
Disease ENSANUT 2012 ENSANUT MC 2016
Diabetes 9.2% 9.4%
Hypertension 27.2% 25.5%
Obesity 71.3% 72.5%
Abdominal obesity 74% 76.6%
Table 2. Diagnostic criteria for metabolic syndrome
Diagnostic criteria Obesity (abdominal) Triglycerides, mg/dL HDL-C, mg/dL
Blood pressure,
mmHg Glucose level, mg/dL
IDF, 2005
Central
obesity þ$2
components
Waist according to cut
point by ethnical
group (W)
$150 or !40 (M) $130/85 or $100 or
!50 (W) or
Hypolipemiant
treatment
Hypolipemiant
treatment
Antihypertensive
treatment
DM2 diagnosis
Update ATP III, 2005
$3 components
Waist $150 or !40 (M) $130/85 or Fasting glucose $110
or
!50 (W)or
O102 (men) Hypolipemiant
treatment
Hypolipemiant
treatment
Antihypertensive
treatment
DM2 diagnosis
O88 (women)
Harmonized Criteria,
2009
$3 components
Waist according to cut
point by ethnical
group (W)
$150 !40 M $130/85 $100
!50 W
M, Men; W, Women; DM2, Diabetes mellitus type 2; IDF, International Diabetes Federation; ATP III, Adult Treatment Panel III.
518 Gonzalez-Ch
avez et al./ Archives of Medical Research 49 (2018) 516e521
Clinical presentation of MetS has wide phenotypic
variations, making difficult to have a specific definition.
Thus, it becomes necessary to improve our understanding
of MetS as a heterogenic entity, that worsens with time.
Recently, four stages of MetS have been described: at
first, risk factors are present, such as overweight, seden-
tarism, familial history of T2D, hypertension or prema-
ture death due to MI (stage A). Without proper
interventions modifying life style, one or two compo-
nents of MetS can appear (stage B of MetS). When three
components are present, this fulfill classic criteria (stage
CofMetS).Finally,targetorgandamage(T2D,morbid
obesity, non-alcoholic hepatic steatosis, obstructive sleep
apnea, chronic renal disease or CVD) occurs (stage D of
MetS) (31).
Ischemic Heart Disease and Metabolic Syndrome
A cohort of 622 patients (377 men and 245 women) with
mean age 64.4 12.76 years, diagnosed with ischemic heart
disease according to ACCF/AHA/ACP (32) from the Coro-
nary Artery Disease Clinic at the Hospital General de
M
exico, was followed for 18 months. The prevalence of
MetS components in these patients with stablished CVD
was high: 70% (CI 95% 66.4, 73.6) had arterial hyperten-
sion, 80% (CI 95% 76.9, 83.1) had hypertriglyceridemia,
65% (CI 95% 75.8, 82.2) had T2D, 79% (CI 95%
75.8,82.2) had abdominal obesity and 70% (CI 95% 66.4,
73.6) with low HDL-C. When MetS diagnosis was assessed
in agreement to harmonized criteria (31); 88% (CI 95% 85.4,
90.6) prevalence was observed. Cardiovascular risk stratifi-
cation score by Framingham was 26.44 and by ASCVD
(Atherosclerotic cardiovascular disease) was 26.3 with a
mean vascular age of 78 years. Other values of clinical
and biochemical variables are shown in Tab l e 3 and Figure 1.
In this Mexican cohort of patients with stablished CVD, it
can be observed that MetS is strongly related to CVD, given
the fact that prevalence of MetS is far higher than in general
population. Previous studies (33e35) have demonstrated a
low-grade chronic inflammation in obese Mexican subjects
which, along with IR, correlates with the presence of meta-
bolic dysfunction leading progressively to dyslipidemia,
abnormal tolerance to glucose and visceral fat deposition.
The ulterior immunological response triggered by these
changes produces tissular, cellular and molecular alterations
that are the etiopathogenic substrate of complications of
MetS (36). Among patients with diagnosed atherosclerotic
coronaropathy, almost 9 out of 10 had MetS. Taking into
Table 3. Mean of evaluated variables
Variable Mean
Body Mass Index 29.82
Waist perimeter 96.49 cm
Systolic arterial pressure 134 mmHg
Diastolic arterial pressure 76.83 mmHg
Glucose 122.7 mg/dL
Hb A1c 7.36%
Total cholesterol 227 mg/dL
HDL Cholesterol 39 mg/dL
LDL Cholesterol 131 mg/dL
Triglycerides 246 mg/dL
TC/HDL Ratio 6.15
LDL/HDL Ratio 3.63
TGL/HDL Ratio 6.3
3
9
26
35
27
0
5
10
15
20
25
30
35
40
1 component 2 components 3 components 4 components 5 components
FREQUENCY
NUMBER OF COMPONENTS OF METABOLIC SYNDROME
Figure 1. Prevalence of number of components of Metabolic Syndrome (MetS) in a cohort with ischemic heart disease.
519Metabolic Syndrome and Cardiovascular Disease: A Health Challenge
consideration that ENSANUT shows that almost one out of
two Mexicans have MetS, it is not surprising that CVD
represent the first cause of mortality in Mexico.
The ATTICA study (37) followed up for 10 years a cohort
of patients with a prevalence of MetS of 20%. At the end,
MetS prevalence had increased up to 50% using harmonized
criteria, and almost in the same percentage when using IDF
and ATP III criteria. The presence of MetS according with
ATP III criteria increased the risk for CVD (OR: 1.83,
95% CI: 1.24e2.72). Moreover, Chen Q, et al. (38) in a
4.9 years follow-up cohort showed that MetS, according to
harmonized criteria, had an increase of 1.26 times the risk
of death from any cause (95% CI, 1.01e1.59) and 1.41 times
the risk of death from CVD (1.06e1.87). The number of
MetS components was related to a gradual increase in mor-
tality from any cause or CVD ( p!0.05).
Conclusions
Several actions are required to achieve an epidemiological
impact on CVD and MetS in Mexican population. To
mention some of them, we suggest basic research invest-
ment, general population screening, and more aggressive
follow-up of cases detected. Basic and molecular research
will open the way towards precision medicine, and a deeper
understanding of the mechanisms involved in these chronic
non-transmissible diseases will be the key driver for inno-
vative biomarkers and treatments. Wider screening for
MetS will permit detect and provide appropriate clinical
management. Detected cases shall be carefully followed
in order to reduce their risk of atherosclerotic coronary dis-
ease, sleep apnea and non-alcoholic hepatic steatosis; emer-
gent clinical expressions of MetS.
It is worth noting that these actions represent a challenge
for Mexican health-care system: they require higher invest-
ment, complete re-organization of the primary care system
and specific development of a program that consider actual so-
ciocultural and educative level. If we are capable to do this, we
will achieve a sustainable development of well-being with a
suitable life quality, in agreement with national and interna-
tional commitments, as such as 2030 Agenda for Sustainable
Development (39) which stablishes that, by 2030, premature
mortality, including from CVD, shall be reduced by one-
third, and recognizes chronic non-transmissible diseases as
one of the biggest challenges to sustainable development.
Conflict of Interest
Authors have no conflicts of interest to declare.
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521Metabolic Syndrome and Cardiovascular Disease: A Health Challenge
... Metabolic syndrome (MetS), also known as syndrome X or insulin resistance, is a cluster of co-occurring conditions, including hypertension, elevated fasting glucose, elevated triglycerides (TG), lowered high-density lipoprotein cholesterol (HDL-C), and abdominal obesity (1). Individuals with MetS are more susceptible to developing cardiovascular disease (CVD), type 2 diabetes mellitus, and cancers and have a higher risk of death (1,2). ...
... Metabolic syndrome (MetS), also known as syndrome X or insulin resistance, is a cluster of co-occurring conditions, including hypertension, elevated fasting glucose, elevated triglycerides (TG), lowered high-density lipoprotein cholesterol (HDL-C), and abdominal obesity (1). Individuals with MetS are more susceptible to developing cardiovascular disease (CVD), type 2 diabetes mellitus, and cancers and have a higher risk of death (1,2). MetS and MetS-related conditions are becoming major public health burdens worldwide. ...
... It is reported that over a quarter of the entire world population (about a billion people) has MetS, including one-third of the Chinese population (3,4). Early recognition and intervention are important to prevent the development of MetS and its progression to chronic diseases, such as CVD (1,3). ...
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Background Metabolic syndrome (MetS) is a group of co-occurring conditions that increase the risk of cardiovascular disease, which include the conditions of hypertension, overweight or obesity, hyperglycemia, and dyslipidemia. Psychological stress is gradually being taken seriously, stemming from the imbalance between environmental demands and individual perceptions. However, the potential causal relationship between psychological stress and MetS remains unclear. Method We conducted cross-sectional and bidirectional Mendelian randomization (MR) analyses to clarify the potential causal relationship of psychological stress with MetS and its components. Multivariable logistic regression models were used to adjust for potential confounders in the cross-sectional study of the Chinese population, including 4,933 individuals (70.1% men; mean age, 46.13 ± 8.25). Stratified analyses of sexual characteristics were also performed. Bidirectional MR analyses were further carried out to verify causality based on summary-level genome-wide association studies in the European population, using the main analysis of the inverse variance-weighted method. Results We found that higher psychological stress levels were cross-sectionally associated with an increased risk of hypertension in men (odds ratio (OR), 1.341; 95% confidence interval (CI), 1.023–1.758; p = 0.034); moreover, higher levels of hypertension were cross-sectionally associated with an increased risk of psychological stress in men and the total population (men: OR, 1.545 (95% CI, 1.113–2.145); p = 0.009; total population: OR, 1.327 (95% CI, 1.025–1.718); p = 0.032). Genetically predicted hypertension was causally associated with a higher risk of psychological stress in the inverse-variance weighted MR model (OR, 2.386 (95% CI, 1.209–4.710); p = 0.012). However, there was no association between psychological stress and MetS or the other three risk factors (overweight or obesity, hyperglycemia, and dyslipidemia) in cross-sectional and MR analyses. Conclusion Although we did not observe an association between psychological stress and MetS, we found associations between psychological stress and hypertension both in cross-sectional and MR studies, which may have implications for targeting hypertension-related factors in interventions to improve mental and metabolic health. Further study is needed to confirm our findings.
... Several probable mechanisms can be used to illustrate this cluster. Reactive oxygen species and lipid accumulation in metabolic disorders may lead to changes in hemodynamic load, myocardial metabolism, and microvascular dysfunction, which can cause cardiovascular complications [32,33]. Additionally, the proportions of the diseases in similar multimorbidity patterns between the two groups were various. ...
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Background The increasing prevalence of multimorbidity has created a serious global public health problem in aging populations. Certain multimorbidity patterns across different age ranges and their association with health status remain unclear. The main aim of this study is to identify multimorbidity patterns discrepancies and associated health status between younger-old and oldest-old. Methods The Ethics Committee of Nanjing Medical University approved the study protocol (No.2019–473). Convenience sampling method was used to recruit older adults aged ≥ 60 years with multimorbidity from July to December 2021 from 38 Landsea long-term care facilities in China. The multimorbidity patterns were analyzed using network analysis and two-step cluster analysis. One-Way ANOVA was utilized to explore their association with health status including body function, activity of daily living, and social participation. A Sankey diagram visualized the flow of health status within different multimorbidity patterns. This study is reported following the STROBE guidelines. Results A total of 214 younger-old (60–84 years) and 173 oldest-old (≥ 85 years) were included. Leading coexisting diseases were cardiovascular disease (CD), metabolic and endocrine disease (MED), neurological disease (ND), and orthopedic disease (OD). Cluster 1 (53, 24.8%) of CD-ND (50, 94.3%; 31, 58.8%), cluster 2 (39, 18.2%) of MED-ND-CD (39, 100%; 39, 100%; 37, 94.9%), cluster 3 (37, 17.3%) of OD-CD-MED-ND (37, 100%; 33, 89.2%; 27, 73.0%; 16, 43.2%), and cluster 4 (34, 15.9%) of CD-MED (34, 100%; 34, 100%) were identified in the younger-old. In the oldest-old, the primary multimorbidity patterns were: cluster 1 (33, 19.1%) of CD-respiratory disease-digestive disease-urogenital disease (CD-RD-DSD-UD) (32, 97.0%; 9, 27.3%; 8, 24.2%; 7, 21.2%), cluster 2 (42, 24.3%) of ND-CD-MED (42, 100%; 35, 83.3%; 14, 33.3%), cluster 3 (28, 16.2%) of OD-CD-MED (28, 100%; 25, 89.3%; 18, 64.3%), and cluster 4 (35, 20.2%) of CD-MED (35, 100%; 35, 100%). Younger-old with CD-ND or MED-ND-CD, and oldest-old with ND-CD-MED have worse health status compared with other multimorbidity patterns (e.g., CD-MED and OD-CD-MED). Conclusion Discrepancies in common patterns of multimorbidity across age groups suggest that caregivers in long-term care facilities should consider changes in multimorbidity patterns with ageing when developing prevention plans for individualized management. Neurological disease concurrent with other diseases was the major determinant of health status, especially for the oldest-old. Interventions targeting multimorbidity need to be focused, yet generic. It is essential to assess complex needs and health outcomes that arise from different multimorbidity patterns and manage them through an interdisciplinary approach and consider their priorities to gain high-quality primary care for older adults living in long-term care facilities.
... It is often characterized by arterial hypertension, obesity, dyslipidemia, and hyperglycemia. 1,2 Recent definitions have noted the significant impact of central obesity on cardiovascular risk. 3 In the last 5-10 years, the risk of developing cardiovascular disease in patients with MS has approximately doubled. ...
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Introduction Metabolic syndrome (MS) is associated with abnormalities in atrial mechanics, atrial remodeling, and an increased risk of heart rhythm disorders. One of the most commonly used approaches to the prevention of cardiac remodeling in arterial hypertension is the administration of renin–angiotensin system (RAS) inhibitors. Therefore, this study aimed to investigate the effects of RAS inhibitors on atrial mechanics parameters in patients with MS. Methods and materials This longitudinal observational study included 55 patients with hypertension and MS, as defined by the ATP III criteria. The patients were evaluated at the start of antihypertensive treatment with an RAS inhibitor. The patients’ clinical characteristics, chosen pharmacological treatment, and transthoracic echocardiography findings were recorded at baseline and 6 months thereafter. A student's dependent sample t-test was used for comparisons between groups. Pearson correlation was used to evaluate the relationships between variables. Results Patients with MS had higher peak atrial longitudinal strain (PALS) values at 6 months than at baseline. Meanwhile, systolic strain and peak late strain rates were lower at follow-up than at baseline. The different antihypertensive treatments had comparable effects on the PALS changes during the follow-up period. Higher high-density lipoprotein levels at baseline were correlated with changes in PALS. Conclusion The administration of RAS inhibitors improved atrial mechanics parameters in the early stages of antihypertensive management in MS.
... Obesity is often associated with metabolic syndrome (MetS), a highly prevalent pathophysiological state defined by at least three of the following five criteria required for diagnosis: elevated waist circumference, elevated level of triacylglycerol (TAG) and glucose in plasma, reduced plasma level of high-density lipoprotein-cholesterol (HDL-C), and high blood pressure [7]. In addition, inflammation, which is an important mechanism involved in the pathogenesis and development of obesity-related disorders, represents also the link between adiposity, insulin resistance, MetS and cardiovascular diseases (CVD) [8]. Indeed, the development of CVD, which are the leading cause of mortality among developed countries, is strongly associated with the presence of MetS in addition to genetic predisposition and a few non-modifiable factors including age, gender, and ethnic origin. ...
Article
We have investigated the impact of obesity on the structural organization, morpho-mechanical properties of collagen fibers from rat tail tendon fascicles (RTTFs). Polarized Raman microspectroscopy showed that the collagen bands 855, 875, 938, and 960 cm-1 as well as those 1631 and 1660 cm-1 were affected by diet. Me- chanical properties exhibited an increase in the yield strength from control (CTRL) to high fat (HF) diet (9.60 ± 1.71 and 13.09 ± 1.81 MPa) (p < 0.01) and ultimate tensile strength (13.12 ± 2.37 and 18.32 ± 2.83 MPa) (p < 0.05) with no significant change in the Young's Modulus. During mechanical, the band at 875 cm-1 exhibited the most relevant frequency shift (2 cm-1). The intensity of those at 855, 875, and 938 cm 1 in HF collagen dis- played a comparable response to mechanical stress as compared to CTRL collagen with no significant diet-related changes in the Full Width at Half Maximum. Second harmonic generation technique revealed i) similar fiber straightness (0.963 ± 0.004 and 0.965 ± 0.003) and ii) significant changes in fibers diameter (1.48 ± 0.07 and 1.52 ± 0.08 μm) (p < 0.05) and length (22.06 ± 2.38 and 29.00 ± 3.76 μm) (p < 0.001) between CTRL and HF diet, respectively. The quantification of advanced glycation end products (AGEs) revealed an increase in both carboxymethyl-lysine and total fluorescence AGEs from CTRL to HF RTTFs.
... Metabolic syndrome (MetS), is known as a complex group of metabolic disorders including central obesity, elevated blood pressure, hyperglycemia, and hyperlipidemia. The condition affects billions of the worldwide population and shows a rising global prevalence [8,9], contributing to a serious health burden and mortality [10][11][12]. Epidemiological studies have indicated a potential relationship between MetS and RCT. Pooled meta-analyses have shown that diabetes [13] and dyslipidemia [14] are associated with a respective 1.24 and 1.17fold increased risk of RCT. ...
Article
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Background Observational research reported the underlying correlation of metabolic syndrome (MetS) and its components with rotator cuff tendinopathy (RCT), but their causality remained unclear. This study aimed to investigate whether genetically predicted MetS was related to the risk of RCT. Methods Both univariable and multivariable Mendelian randomization (MR) analysis was applied using summary-level data from the most comprehensive genome-wide association studies to estimate the associations of MetS and its component with RCT, with the inverse variance weighted (IVW) as the primary method, and the method of Causal Analysis Using Summary Effect Estimates (CAUSE) as a supplement for false positives detection. The mediation analysis was furtherly used for the assessment of direct and indirect effects. Results Univariable analysis revealed that genetically predicted MetS (OR: 1.0793; 95% CI 1.0311 to 1.1297), body mass index (BMI) (OR 1.2239; 95% CI 1.1357 to 1.3189), and waist circumference (WAC) (OR 1.3177; 95% CI 1.2015 to 1.4451) had a significant positive association with the risk of RCT. Triglycerides and systolic blood pressure were suggestively associated with RCT risk. These associations were also identified by CAUSE. There was independent causality of BMI (OR: 1.1806; 95% CI 1.0788 to 1.2920) and WAC (OR 1.3716; 95% CI 1.2076 to 1.5580) on RCT after adjustment for confounders. No mediator was found in the causal associations. Conclusion Our study revealed the genetic causality of MetS and its components, especially BMI and WAC, with RCT risk. Early prevention and diagnosis of excess central adiposity contributing to MetS are significant in the RCT risk management.
... With a prevalence ranging from 10 to 50% among adults worldwide [2], MetS poses a significant threat to global health, with alarming rates in specific populations, particularly among elderly individuals in the United States [3]. The escalating prevalence of MetS and its association with increased mortality have made it a substantial burden on public health care systems and national finances [4,5]. ...
Article
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Background The available evidence regarding the association of antioxidants, minerals, and vitamins with the risk of metabolic syndrome (MetS) traits is currently limited and inconsistent. Therefore, the purpose of this Mendelian randomization (MR) study was to investigate the potential causal relationship between genetically predicted antioxidants, minerals, and vitamins, and MetS. Methods In this study, we utilized genetic variation as instrumental variable (IV) to capture exposure data related to commonly consumed dietary nutrients, including antioxidants (β-carotene, lycopene, and uric acid), minerals (copper, calcium, iron, magnesium, phosphorus, zinc, and selenium), and vitamins (folate, vitamin A, B6, B12, C, D, E, and K1). The outcomes of interest, namely MetS (n = 291,107), waist circumference (n = 462,166), hypertension (n = 463,010), fasting blood glucose (FBG) (n = 281,416), triglycerides (n = 441,016), and high-density lipoprotein cholesterol (HDL-C) (n = 403,943), were assessed using pooled data obtained from the most comprehensive genome-wide association study (GWAS) available. Finally, we applied the inverse variance weighting method as the result and conducted a sensitivity analysis for further validation. Results Genetically predicted higher iron (OR = 1.070, 95% CI 1.037–1.105, P = 2.91E−05) and magnesium levels (OR = 1.130, 95% CI 1.058–1.208, P = 2.80E−04) were positively associated with increased risk of MetS. For each component of MetS, higher level of genetically predicted selenium (OR = 0.971, 95% CI 0.957–0.986, P = 1.09E−04) was negatively correlated with HDL-C levels, while vitamin K1 (OR = 1.023, 95% CI 1.012–1.033, P = 2.90E−05) was positively correlated with HDL-C levels. Moreover, genetically predicted vitamin D (OR = 0.985, 95% CI 0.978–0.992, P = 5.51E−5) had a protective effect on FBG levels. Genetically predicted iron level (OR = 1.043, 95% CI 1.022–1.064, P = 4.33E−05) had a risk effect on TG level. Conclusions Our study provides evidence that genetically predicted some specific, but not all, antioxidants, minerals, and vitamins may be causally related to the development of MetS traits.
... Obesity is a chronic non-communicable disease (CNCD), and its etiology is multifactorial and may be related to genetic, environmental, socioeconomic, endocrine, and metabolic disorders (Gonzalez-Chávez et al., 2018). Also, eating habits are directly associated with the development of obesity, with the imbalance between food consumption and energy expenditure resulting in an excessive accumulation of adipose tissue, which can cause damage to health. ...
Article
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Previous research has produced inconsistent findings concerning the connection between metabolic syndrome and prostate cancer. It is challenging for observational studies to establish a conclusive causal relationship between the two. However, Mendelian randomization can provide stronger evidence of causality in this context. To examine the causal link between a metabolic composite and its components with prostate cancer, we performed a two-sample Mendelian randomization (MR) study utilizing aggregated data from genome-wide association studies, followed by meta-analyses. In our study, we employed inverse variance weighting as the primary method for MR analysis. Additionally, we assessed potential sources of heterogeneity and horizontal pleiotropy through the Cochran’s Q test and MR-Egger regression. Moreover, we used multivariate MR to determine whether smoking versus alcohol consumption had an effect on the outcomes. We found no causal relationship between metabolic syndrome and its components and prostate cancer(MetS, odds ratio [OR] = 0.95, 95% confidence interval [CI] = 0.738–1.223, p = 0.691; TG, [OR] = 1.02, 95%[CI] = 0.96–1.08, p = 0.59); HDL, [OR] = 1.02, 95% [CI] = 0.97–1.07, p = 0.47; DBP, [OR] = 1.00, 95%[CI] = 0.99–1.01, p = 0.87; SBP, [OR] = 1.00, 95%[CI] = 0.99–1.00, p = 0.26; FBG [OR] = 0.92, 95%[CI] = 0.81–1.05, p = 0.23; WC, [OR] = 0.93, 95%[CI] = 0.84–1.03, p = 0.16). Finally, the MVMR confirms that the metabolic syndrome and its components are independent of smoking and alcohol consumption in prostate cancer. We didn’t find significant evidence to determine a causal relationship between the metabolic syndrome and its components and prostate cancer through MR analysis. Further research is necessary to explore the potential pathogenesis between the two diseases.
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Background Observational studies have reported a possible association between metabolic syndrome (MetS) and thyroid autoimmunity. Nevertheless, the relationship between thyroid autoimmunity and MetS remains unclear. The objective of this research was to assess the causal impact of MetS on thyroid autoimmunity through the utilization of Mendelian randomization (MR) methodology. Methods We performed bidirectional MR to elucidate the causal relationship between MetS and their components and thyroid autoimmunity (positivity of TPOAb). Single nucleotide polymorphisms (SNPs) of MetS and its components were obtained from the publicly available genetic variation summary database. The Thyroidomics Consortium conducted a genome-wide association analysis, which provided summary-level data pertaining to thyroid autoimmunity. The study included several statistical methods, including the inverse variance weighting method (IVW), weighted median, simple mode, weight mode, and MR-Egger methods, to assess the causal link. In addition, to ensure the stability of the results, a sensitivity analysis was conducted. Results IVW showed that MetS reduced the risk of developing thyroid autoimmunity (OR = 0.717, 95% CI = 0.584 - 0.88, P = 1.48E−03). The investigation into the causative association between components of MetS and thyroid autoimmune revealed a statistically significant link between triglycerides levels and the presence of thyroid autoimmunity (IVW analysis, OR = 0.603, 95%CI = 0.45 -0.807, P = 6.82E−04). The reverse analysis did not reveal any causal relationship between thyroid autoimmunity and MetS, including its five components. Conclusions We have presented new genetic evidence demonstrating that MetS and its triglyceride components may serve as potential protective factors against thyroid autoimmunity.
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Background This study aimed to determine the ability of commonly used insulin resistance indices to identify the metabolic syndrome. Methods 183 people referred for outpatient care at the Metabolism Unit of Hospital de Clínicas de Porto Alegre were evaluated with anthropometric, blood pressure, lipid profile, and adiponectin measurements. Glucose tolerance status was determined by 2-h 75-g oral glucose tolerance test and glycosylated hemoglobin. Definition of metabolic syndrome was based on the Joint Interim Statement of different medical associations. Twenty-one indices of insulin resistance were estimated from published equations. The accuracy of these indices was determined by area under the ROC curve (AUC) analysis. In addition, we determined an optimal cut point for each index and its performance as a diagnostic test. Results The study population was comprised of 183 people (73.2% women; 78.7% white; age 52.6 ± 12.0 years, mean ± standard deviation), of whom 140 (76.5%) had metabolic syndrome. The reciprocal of the Gutt index provided the greatest AUC for identification of metabolic syndrome, but there were no statistical differences between Gutt and 11 AUC indices. Gutt presented 86.4% sensitivity and 76.7% specificity to identify metabolic syndrome. Conclusions A number of commonly employed indices of insulin resistance are capable of identifying individuals with the metabolic syndrome. Electronic supplementary material The online version of this article (10.1186/s13098-018-0365-y) contains supplementary material, which is available to authorized users.
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Objective: The aim of this study is to evaluate the influence of the body mass index (BMI) and the metabolic syndrome (MetS) parameters on oxidative and nitrosative stress in overweight and obese subjects. Subjects and methods: Individuals were divided into three groups: the control group (G1, n = 131) with a BMI between 20 and 24.9 kg/m2, the overweight group (G2, n = 120) with a BMI between 25 and 29.9 kg/m2 and the obese group (G3, n = 79) with a BMI ≥ 30 kg/m2. Results: G3 presented higher advanced oxidation protein products (AOPPs) in relation to G1 and G2 (p = 0.001 and p = 0.011, respectively) whereas G2 and G3 had lower levels of nitric oxide (NO) (p = 0.009 and p = 0.048, respectively) compared to G1. Adjusted for the presence of MetS to evaluate its influence, the levels of AOPPs did not differ between the groups, whereas NO remained significantly lower. Data adjusted by the BMI showed that subjects with higher triacylglycerol levels had higher AOPPs (p = 0.001) and decreased total radical-trapping antioxidant parameter/uric Acid (p = 0.036). Subjects with lower high-density lipoprotein (HDL) levels and patients with higher blood pressure showed increased AOPPs (p = 0.001 and p = 0.034, respectively) and lower NO levels (p = 0.017 and p = 0.043, respectively). Subjects who presented insulin resistance had higher AOPPs (p = 0.024). Conclusions: Nitrosative stress was related to BMI, and protein oxidation and nitrosative stress were related to metabolic changes and hypertension. MetS components were essential participants in oxidative and nitrosative stress in overweight and obese subjects.
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Metabolic syndrome (MetS) is a leading public health and clinical challenge worldwide. MetS represents a group of interelated risk factors that predict cardiovascular diseases (CVD) and diabetes mellitus (DM). Its prevalence ranges between 10 and 84%, depending of the geographic region, urban or rural environment, individual demographic characteristics of the population studied (sex, age, racial and ethnic origin), as well as the criteria used to define MetS. Persons with MetS have higher mortality rate when compared with people without MetS, primarily caused by progressive atherosclerosis, accelerated by pro-inflammatory and pro-coagulation components of MetS. Considering the high prevalence of metabolic disorders (a glucose metabolism disorder, hypertension, dyslipidaemia, obesity etc.), preventive healthcare should focus on changing lifestyle in order to reduce obesity and increase physical activity. In this narrative review we consider the available evidence from clinical and experimental studies dealing with MetS and current treatment options for patients with insulin resistance and MetS.
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Context: Adipose tissue hypoxia and endoplasmic reticulum (ER) stress may link the presence of chronic inflammation and macrophage infiltration in severely obese subjects. We previously reported the up-regulation of TNF-like weak inducer of apoptosis (TWEAK)/fibroblast growth factor-inducible 14 (Fn14) axis in adipose tissue of severely obese type 2 diabetic subjects. Objectives: The objective of the study was to examine TWEAK and Fn14 adipose tissue expression in obesity, severe obesity, and type 2 diabetes in relation to hypoxia and ER stress. Design: In the obesity study, 19 lean, 28 overweight, and 15 obese nondiabetic subjects were studied. In the severe obesity study, 23 severely obese and 35 control subjects were studied. In the type 2 diabetes study, 11 type 2 diabetic and 36 control subjects were studied. The expression levels of the following genes were analyzed in paired samples of sc and visceral adipose tissue: Fn14, TWEAK, VISFATIN, HYOU1, FIAF, HIF-1a, VEGF, GLUT-1, GRP78, and XBP-1. The effect of hypoxia, inflammation, and ER stress on the expression of TWEAK and Fn14 was examined in human adipocyte and macrophage cell lines. Results: Up-regulation of TWEAK/Fn14 and hypoxia and ER stress surrogate gene expression was observed in sc and visceral adipose tissue only in our severely obese cohort. Hypoxia modulates TWEAK or Fn14 expression in neither adipocytes nor macrophages. On the contrary, inflammation up-regulated TWEAK in macrophages and Fn14 expression in adipocytes. Moreover, TWEAK had a proinflammatory effect in adipocytes mediated by the nuclear factor-κB and ERK but not JNK signaling pathways. Conclusions: Our data suggest that TWEAK acts as a pro-inflammatory cytokine in the adipose tissue and that inflammation, but not hypoxia, may be behind its up-regulation in severe obesity.
Article
Background: We examined the associations among 8 different fat depots accumulated in various anatomic regions and the relationship between these fat depots and multiple cardiometabolic risk factors. Methods: Participants were from the Framingham Heart Study Offspring and Third Generation who also participated in the multidetector computed tomography substudy in 2002-2005. Exposures were multidetector computed tomography-derived fat depots, including abdominal subcutaneous adipose tissue, abdominal visceral adipose tissue, intramuscular fat, intrathoracic fat, pericardial fat, thoracic periaortic fat, intrahepatic fat, and renal sinus fat. Multivariable-adjusted regression analyses with a forward selection procedure were performed to identify the most predictive fat depots. Results: Of 2529 participants, 51.9% were women (mean age, 51.1 years). Visceral adipose tissue had the strongest correlations with each of the other fat measures (range, 0.26-0.77) and with various cardiometabolic risk factors (range, -0.34 to 0.39). As determined by the selection models, visceral adipose tissue was the only fat depot that was associated with all cardiometabolic risk factors evaluated in this study (all P<.05). Selection models also showed that subcutaneous adipose tissue and intrahepatic fat were associated with cardiometabolic risk factors related to the traits of dysglycemia, dyslipidemia, and hypertension (all P<.05). However, only associations with visceral adipose tissue and intrahepatic fat persisted after further adjustment for body mass index and waist circumference. Conclusions: Visceral adipose tissue and intrahepatic fat were consistent correlates of cardiometabolic risk factors, above and beyond standard anthropometric indices. Our data provide important insights for understanding the associations between variations in fat distribution and cardiometabolic abnormalities.
Article
Background: Recent trends in the prevalence of metabolic syndrome (MetS) and its components among U.S. adults are not known. Methods: We performed an updated analysis using the National Health and Nutrition Examination Survey 2007-2014 data to investigate the latest trends of prevalence of MetS and its components. MetS was defined based on the modified National Cholesterol Education Program-Adult Treatment Panel III criteria. Multiple regression models were used to assess linear trends over the years, after adjusting for sex, age, and race/ethnicity, as appropriate. Sampling weights were considered to account for complex sampling design, and all estimates were adjusted by age by a direct method. Results: During 2007-2014, the age-adjusted weighted prevalence (±standard error) of MetS among U.S. adults was 34.3 ± 0.8%. In age-stratified analysis, 54.9 ± 1.7% of elderly population aged 60 and over had MetS. When evaluating trends from 2007 to 2014, the prevalence of MetS remained stable in all sex, age, and race/ethnicity groups (P-trends > 0.100 for all). Among the components of MetS, the prevalence of hypertriglyceridemia and fasting hyperglycemia decreased (P-trend <0.050). However, the prevalence of abdominal obesity significantly increased, especially in women (P-trend = 0.009). The prevalence of elevated blood pressure and low high-density lipoprotein cholesterol level remained stable. Conclusions: The prevalence of MetS remained stable during 2007-2014. However, it was still prevalent in the U.S., especially among the elderly population. The prevalence of abdominal obesity continued to increase in women for which more efforts should be made.
Article
Objective: To study the relationship of area- and volumetric-based visceral and subcutaneous adipose tissue (VAT and SAT) by MRI and their ratio in subjects with impaired glucose metabolism from the general population. Methods: Subjects from a population-based cohort with established prediabetes, diabetes and healthy controls without prior cardiovascular diseases underwent 3 T MRI. VAT and SAT were assessed as total volume and area on a single slice, and their ratio (VAT/SAT) was calculated. Clinical covariates and cardiovascular risk factors, such as hypertension and glycemic state were assessed in standardized fashion. Univariate and adjusted analyses were conducted. Results: Among 384 subjects (age: 56.2 ± 9.2 years, 58.1% male) with complete MRI data available, volumetric and single-slice VAT, SAT and VAT/SAT ratio were strongly correlated (all >r = 0.89). Similarly, VAT/SATvolume ratio was strongly correlated with VATvolume but not with SAT (r = 0.72 and r = -0.21, respectively). Significant higher levels of VAT, SAT and VAT/SAT ratio were found in subjects with impaired glucose metabolism (all p ≤ 0.01). After adjustment for potential cardiovascular confounders, VATvolume and VAT/SATvolume ratio remained significantly higher in subjects with impaired glucose metabolism (VATvolume = 6.9 ± 2.5 l and 3.4 ± 2.3 l; VAT/SATvolume ratio = 0.82 ± 0.34 l and 0.49 ± 0.29 l in patients with diabetes and controls, respectively, all p < 0.02), whereas the association for SATvolume attenuated. Additionally, there was a decreasing effect of glycemic status on VAT/SATvolume ratio with increasing body mass index and waist circumference (p < 0.05). Conclusions: VATvolume and VAT/SATvolume ratio are associated with impaired glucose metabolism, independent of cardiovascular risk factors or MRI-based quantification technique, with a decreasing effect of VAT/SATvolume ratio in obese subjects. Advances in knowledge: Quantification of VATvolume and VAT/SATvolume ratio by MRI represents a reproducable biomarker associated with cardiometabolic risk factors in subjects with impaired glucose metabolism, while the association of VAT/SATvolume ratio with glycemic state is attenuated in obese subjects.
Article
In the United States, more than 50 million people have blood pressure at or above 120/80 mm Hg. All components of cardiorenal metabolic syndrome (CRS) are linked to metabolic abnormalities and obesity. A major driver for CRS is obesity. Current estimates show that many of those with hypertension and CRS show some degree of systemic and cardiovascular insulin resistance. Several pathophysiologic factors participate in the link between hypertension and CRS. This article updates recent literature with a focus on the function of insulin resistance, obesity, and renin angiotensin aldosterone system-mediated oxidative stress on endothelial dysfunction and the pathogenesis of hypertension.
Article
Background: The metabolic syndrome (MetS) and its metabolic risk factors appear to promote the development of atherosclerotic cardiovascular disease. The aim of this study was to examine the association of MetS and its individual components with all-cause and cardiovascular mortality among patients with coronary heart disease (CHD). Methods: We performed a prospective, hospital-based cohort among 3599 CHD patients in China. Cox proportional hazards regression models were used to estimate the association of MetS and its components at baseline with risk of mortality. Results: During a mean follow-up period of 4.9years, 308 deaths were identified, 200 of which were due to cardiovascular disease. Compared with patients without MetS, patients with MetS according to the AHA/NHLBI statement had a 1.26-fold higher risk (95% CI, 1.01-1.59) of all-cause mortality and a 1.41-fold higher risk (1.06-1.87) of cardiovascular mortality. Patients with increasing numbers of components of MetS had a gradually increased risk for all-cause and cardiovascular mortality (P<0.05). When each component of MetS was considered as a dichotomized variable separately, only low high-density lipoprotein cholesterol (HDL-C) and elevated fasting blood glucose (FBG) were associated with all-cause and cardiovascular mortality. After using restricted cubic splines, we found a U-shaped association of HDL-C, body mass index and blood pressure, a positive association of FBG, and no association of triglycerides with the risks of all-cause and cardiovascular mortality. Conclusions: MetS is a risk factor for all-cause and cardiovascular mortality among CHD patients. It is very important to control metabolic components in a reasonable control range.