Section 2
It is well known that exercise preserves health. Studies conducted as early as
the 1910’s highlight the protective effects of manual labor on degenerative
diseases [ 3 ]. Similar reports reinforced the notion that physical activity can
help prevent disease [ 4 ]. More recently, studies have shown that aerobic capacity
correlates with an increased lifespan and increased “healthspan” [ 5 ]. Exercise
is known to decrease all-cause mortality, and we know that cardiorespiratory
fitness correlates with longevity [ 6 ]. Over the past several decades researchers
have become interested in which potential mechanisms are responsible for these
protective effects. For the purposes of this paper, we will focus on the
mechanisms involved with exercise-induced protection of the cardiovascular
system.
The gut microbiota consists of trillions of microbial cells such as bacteria,
fungi, viruses, and archaea [ 7 ]. Regarding gut bacteria, there are over 1100
genera, and approximately 90% fall under the phylum Bacteroidota and Bacillota
(formerly known as Bacteroidetes and Firmicutes [ 8 ], respectively) while, the
minority of gut bacteria are Pseudomonadota, Actinomycetota, Fusobacteriota, and
Verrucomicrobiota (formerly known as Proteobacteria, Actinobacteria,
Fusobacteria, Verrucomicrobia [ 8 ], respectively) phyla [ 9 ]. Commonly observed in
a healthy gut microbiota is a decreased Bacillota to Bacteroidota ratio, stable
community, and greater species diversity [ 10 ].
The gut microbiota is now recognized as being critical for the maintenance of
optimal human health. When the gut microbiota is in symbiosis with the host,
microbes can promote health. However, when in dysbiosis (unbalanced gut
microbes) with the host, the bacteria can contribute to chronic disease. In a
healthy host, the gut microbiota favorably affects digestion, nutrient
absorption, and production of folate, vitamins, and short chain fatty acids
(SCFAs).
Our lab [ 10 ], and others [ 11 , 12 , 13 ] have examined the link between the gut
microbiota and exercise in animal models. The gut microbiota of sedentary
individuals differs from active individuals [ 14 , 15 , 16 , 17 ]. Results from humans and
animal studies clearly show that exercise is central to healthful aging, improves
the diversity of microbes within the Bacillota phylum [ 10 , 13 , 14 ], and increases
the abundance of beneficial bacteria such as Roseburia intestinalis ,
Faecalibacterium prausnitzii , and Akkermansia muciniphila [ 15 , 18 ].
In addition, the gut microbiota appears to adapt to the unique demands of
exercise [ 19 , 20 , 21 ]. Changes in the gut microbiota that occur with exercise generate
metabolites that further provide the host with performance advantages [ 19 , 20 , 21 , 22 , 23 , 24 ].
Athletes typically have improved carbohydrate metabolism, higher tolerance to
oxidative stress, greater insulin sensitivity, enhanced muscle tissue repair, and
greater energy harvesting [ 14 , 25 , 26 , 27 ].
Moreover, results from antibiotic and germ-free mouse models demonstrate a
bidirectional relationship between gut microbiota and exercise. Results show that
gut microbiota must be intact for exercise performance and various aspects of
maintenance of exercise training but perhaps not for adapting to exercise
training [ 12 , 19 , 20 , 21 , 22 , 23 , 24 , 28 ].
In summary, habitually exercise-trained individuals have a beneficial gut
microbiota. Additionally, sedentary individuals who undertake exercise training
can improve the abundance of beneficial gut microbes. Importantly,
exercise-induced microbial changes in human studies are observed across the
lifespan and are seen in both men and women. It is important to underscore that
the favorable gut modifications that come with habitual exercise training are
lost with cessation of exercise (“use it or lose it”). In conclusion, an
intact gut microbiota must be present to fully adapt to exercise-induced training
adaptations, including muscle hypertrophy.
There are established sex differences in heart size, stroke volume, and
hemoglobin content contributing to exercise performance [ 29 , 30 , 31 ]. Among humans,
sex differences in heart size do not manifest until puberty. By adulthood, hearts
are approximately 30% larger in males compared to females, primarily due to
greater myocyte hypertrophy among males [ 32 ]. These observed sex-based
differences in heart size are the primary factors contributing to larger stroke
volume among males compared to females [ 33 , 34 , 35 ]. However, there does not appear to
be a difference in maximum heart rate by sex [ 33 ]. Hemoglobin concentration in
blood is higher for males compared to females, contributing to sex differences in
oxygen carrying capacity [ 36 ]. Although males have larger muscle fibers and more
capillaries per fiber, capillary density does not differ between sexes [ 37 ].
Furthermore, while skeletal muscles of men are usually stronger and more powerful
than women, men are often more fatigable than women for sustained or intermittent
isometric contractions performed at a similar relative intensity [ 38 ].
Importantly, these fundamental differences between biologic males and females
emerge at the onset of puberty, suggesting that sex hormones may be responsible
for conferring sex-based differences. This is relevant because exercise
motivation, particularly in females, has been shown to be regulated by
estrogen. Krause et al . [ 39 ] demonstrated that in estrogen deficiency
there was reduced melanocortin-4 signaling which lowered the drive to exercise,
illuminating the power of estrogen during the reproductive cycle in motivating
behavior and maintaining an active lifestyle in women. Intriguingly, estrogen
deficiency (menopause) is also when CVD risk increases [ 40 ], meaning not only are
women at high risk of CVD, but they may be less likely to want to engage in
exercise which would help in the prevention of CVD and other metabolic risk
factors.
Studies comparing compositional differences in the microbiota between males and
females often find differences between each sex, but not always [ 41 ]. This may
indicate that the sex differences are context-dependent. For example, in several
studies, compositional differences were described as females having higher levels
of Clostridium from the Bacillota (formerly Firmicutes) phylum and males
having higher levels of Prevotella from the Bacteroidota (formerly
Bacteroidetes) phylum and Lactobacillus from the Bacillota phylum
[ 42 , 43 , 44 ]. Other observations include males having less microbial diversity
compared to females [ 42 ]. These compositional differences are not always
consistent between the sexes, particularly when a study alters an additional
factor like diet [ 42 ].
A variety of factors impact microbiota in the early years of life including mode
of birth, breastfeeding or formula feeding, antibiotic treatment, genetics, sex,
and more [ 41 ]. Consequently, these microbes likely affect human development in a
sex-dependent manner. Even from birth, some studies show different microbial
communities between males and females [ 42 ]. For example, females delivered by
asthmatic mothers are prone to Bacteroidaceae microbes compared to males
that tend to harbor Lactobacilli [ 45 ]. Another example of early sex
differences observing 300 infants is the temperament of males appears to be more
positive when Bifidobacterium of the Actinomycetota (formerly
Actinobacteria) phyla and Clostridiaceae of the Bacillota phyla are
present [ 46 ]. Female members that have gut communities with Veillonella
tend to be more risk averse [ 46 ]. Using reverse-transcriptase qPCR a study showed
that boys had higher abundance of several Bifidobacterium spp. over
three years [ 47 ]. A study examined how normal weight pre-puberty girls have
increased Bacteroidota compared to obese girls [ 48 ]. Interestingly, these
differences were not seen in boys of the same age [ 48 ]. Obesity in girls of this
group had more developed adrenal glands and an underexpression of gonadal
estradiol, the predominant estrogen [ 49 ]. Boys in this group had increased
dehydroepiandrosterone (DHEA) [ 49 ]. Given that other studies have linked estrogen
levels with certain groups of microbes, it would suggest that these girls could
have gut microbes that play a role in estrogen-driven diseases.
During puberty, the difference in levels of sex hormones between males and
females increases, and the effects they have on the microbiome appear to be more
prominent as well [ 50 ]. For example, in a human twin study of teenagers, there
was greater dissimilarity of the gut microbiota between opposite-sex twins than
same-sex twins during puberty [ 51 ]. In another study using mice, the
alpha-diversity of females changed significantly compared to males after puberty
and the sex-related compositional differences disappeared after these male mice
were castrated [ 52 ]. Interestingly, in a study by Yuan et al .
(2020) [ 53 ] there was no difference in alpha-and beta-diversity of girls
and boys before puberty, but there was an association of certain microbes to
testosterone including Adlercreutzia , Ruminococcus ,
Dorea , Clostridium , and Parabacteroides . Similarly,
male mice undergoing a gonadectomy were administered testosterone and
subsequently, did not exhibit the microbiota changes [ 52 ]. Another group of mice
that had a gonadectomy that did not receive testosterone supplementation did
exhibit microbial changes [ 52 ]. This highlights testosterone as a key factor in
microbial change. Similar studies performing ovariectomies on mice showed changes
in microbiota including a reduction of Pseudomonadota (formerly Proteobacteria),
higher Akkermansia , and a decreased ratio of Bacillota to Bacteroidota
[ 54 ].
During adulthood, estrogen and testosterone are described as potent modifiers of
the human body and the microbiota [ 55 ]. And due to the different concentrations
of sex hormones in males and females, the microbiota and its effects are
modulated in a sex-dependent manner [ 55 ]. The adult microbiota is also
characterized as being more stable compared to other stages of life [ 42 ]. In a
human study of 516 Japanese males and females, Prevotellaceae was more
abundant in males and Ruminococcaceae was more abundant in females [ 44 ].
The microbiota from 91 pregnant women were transplanted via fecal microbiota
transfer (FMT) into germ-free (GF) mice in the 1st and 3rd trimester [ 56 ]. Mice
receiving FMT from third trimester (T3) showed pregnancy-like effects like increased adiposity and
insulin sensitivity, but FMT from first trimester (T1) did not show these effects [ 56 ].
Additionally, there was no correlation between the microbiota compared to
estrogen levels throughout the menstrual cycle of 17 females [ 57 ]. Importantly,
adulthood is when many diseases can progress, and this can have sex-dependent
effects on the microbiota as well. In a study by Mahnic et al . (2018)
[ 58 ], they also found higher levels of Bacteroides and
Prevotella in males compared to females. To understand these
relationships fully, the mechanisms that influence them should be investigated.
As people age, the microbial changes between males and females become less
prominent [ 42 ]. It is important to note that this is also when male and female
hormone levels become more similar [ 41 ]. These events are likely not a
coincidence. In a study by Santos-Marcos et al . (2018) [ 59 ], the
microbiota of human males and post-menopausal females were compared to measure
any differences between each sex. The Bacillota/Bacteroidota ratio was different
between males and females as well as the amount of saccharolytic activity [ 59 ].
More specifically, pre-menopausal women versus post-menopausal women and
pre-menopausal females versus males were most different [ 59 ]. Given that estrogen
levels are greatly reduced in post-menopausal women, the data suggests that the
changes in the microbiota are influenced by the changes in sex hormones [ 59 ].
Interestingly, Deltaproteobacteria in the cecum increased in abundance as mice
aged [ 60 ]. This raises the question of how age may impact the microbiota
differently depending on where along the gastrointestinal tract the sample is
taken.
According to the 2022 Centers for Disease Control, National Center of Health
Statistics Data Brief on physical activity in the United States (US) the
percentage of adults who met the guidelines for both aerobic and
muscle-strengthening activities varied by race and Hispanic origin [ 61 ]. In
general, in 2020, 24.2% of adults aged 18 and over met the 2018 Physical
Activity Guidelines for Americans for both aerobic and muscle-strengthening
activities [ 61 ]. When accounting for race/ethnicity Hispanic men (23.5%) were
less likely to meet both physical activity guidelines than non-Hispanic White
(30.5%), non-Hispanic Asian (30.2%), and non-Hispanic Black (29.7%) men [ 61 ].
Non-Hispanic White women (24.3%) were more likely to meet both guidelines than
Hispanic (18.0%), non-Hispanic Asian (16.7%), and non-Hispanic Black (16.5%)
women [ 61 ]. Across all race and Hispanic-origin groups, men were more likely than
women to meet the guidelines for both aerobic and muscle-strengthening activities
[ 61 ]. The percentage of men who met both physical activity guidelines increased
as family income increased, from 16.2% of men with a family income of less than
100% of the federal poverty level (FPL), to 20.0% of men with income at
100%–199% of FPL, and 32.4% of those with income at 200% of FPL or more
[ 61 ]. The percentage of women who met both physical activity guidelines increased
as family income increased, from 9.9% of women with family income less than
100% of FPL, to 13.6% of women with income at 100%–199% of FPL, and 25.9%
of those with income at 200% of FPL or more [ 61 ]. Across all income groups, men
were more likely than women to meet the guidelines for both types of activity
[ 61 ].
Currently, human gut microbiota studies have had a narrow focus or simply
describe broad population-level changes to gut communities in response to
environmental variation. As such, only a few studies have been designed to
address gut microbiota variation in relation to structural inequities, and even
fewer have attempted to link host health to socially attributed variations in the
gut microbiota [ 62 , 63 , 64 , 65 , 66 ]. Nevertheless, the small but existing literature does
provide accumulating evidence that the social and environmental factors that
contribute to health inequities may also predict gut microbiota characteristics.
For example, measures of socioeconomic status (SES) across globally diverse
populations, have been associated with a distinct gut microbiota in both adults
[ 66 , 67 , 68 ] and children [ 69 , 70 , 71 , 72 , 73 ]. Similarly, the gut microbiota consistently varies
with race (e.g., Asian, Black, Hispanic, White) and/or ethnicity/ancestry
(Arapaho, Cheyenne, Dutch, Ghanaian, Moroccan) in adults [ 62 , 63 , 65 , 74 ] and
children [ 70 , 71 , 75 , 76 ].
There is strong evidence linking structural inequities to gut microbiota
variation in the context of SES. For example, neighborhood SES has been shown to
explain 12–25% of the variation in adult gut microbiota composition, after
adjustment for demographic and lifestyle factors, and was positively correlated
with gut microbiota diversity [ 67 ]. Similar results noting an association between
neighborhood SES and gut microbiota diversity were also obtained utilizing a
discordant-twin analysis, which minimizes the possibility of confounding by
shared genetic or family influences [ 68 ]. Finally, it has been shown that the
relative abundance of taxa, accounting for 38.8% of the gut microbiota, varies
in relation to indices of wealth appraised as personal yearly income and spending
[ 66 ].
Despite the important contributions of these findings, most gut microbiota
studies in minoritized populations do not operationally define structural
inequities. Furthermore, race and ethnicity/ancestry are often incorrectly
conflated. Whether the gut microbiota is impacted more by the personal lived
experiences of perceived racism and discrimination (internalization) versus overt
structural/systemic oppressive policies remains largely unknown. It is likely a
combination of both. Similarly, the scale (i.e., household, neighborhood, and
beyond) at which structural inequities might affect the gut microbiota is
unclear. Nonetheless, the existing literature demonstrates that the same social
inequities that predict disease disparities also predict variation in the gut
microbiota. These relationships underscore the likely role of the gut microbiota
in mediating socially driven health disparities.
Section 3
Exercise has many health benefits. These benefits apply to people of all ages,
races and ethnicities, and sexes. Exercise helps individuals maintain a healthy
weight, reduces the risk of depression and a decline in cognitive function and
lowers a person’s risk for many diseases, such as CVD and other chronic health
diseases [ 3 , 4 , 5 , 6 ]. When done regularly, moderate-
and vigorous-intensity physical activity strengthens the cardiac myocardium and
improves the heart’s ability to distribute blood to the body, thereby reducing
CVD risk. Exercise can reduce this risk through a variety of mechanisms including
lowering blood pressure, and triglycerides, raising HDL (high-density lipoproteins),
decreasing arterial stiffness, reducing the risk of being overweight or obese and maintaining
a healthy weight, maintenaining in-range blood glucose and insulin levels, and
reducing inflammation [ 3 , 4 , 5 , 6 ]. This section of the review will highlight the
impacts of exercise on the cardiovascular system and the mechanisms by which this
occurs, providing a foundation for which we will later discuss the integrated
roles of sex, race/ethnicity, CVD, and gut microbiota.
Broadly, exercise decreases CVD [ 77 ] and increased aerobic fitness has been
shown to reduce mortality rates of individuals following myocardial infarction
[ 78 ]. These improvements have been shown in various animal models [ 79 , 80 , 81 ] and
human studies [ 82 , 83 , 84 ]. Specifically, it is believed that chronic shear stresses
on the endothelial lining of the blood vessels and the endocardium, which are
derived from exercise-induced increases in blood flow, increase nitric oxide (NO)
bioavailability [ 85 ] (Fig. 1 ). NO is a vasoprotective molecule that prevents
vascular dysfunction, platelet aggregation, leukocyte adhesion and vascular
stiffening [ 86 , 87 ]. Reductions in NO have been indicated in the development of
hypertension and CVD [ 88 , 89 ].
A representation of nitric oxide signaling . Shear stress
increases intracellular calcium (Ca 2+ ) which enhances endothelial nitric
oxide synthase (eNOS) enzymatic action. eNOS catalyzes the synthesis of
L-arginine to nitric oxide. Tetrahydrobiopterin (BH4) is a critical cofactor.
Furthermore, exercise augments anti-oxidant defense and decreases reactive
oxygen species (ROS) production [ 90 , 91 , 92 ]. Production of ROS is known to increase
the potential for cellular damage [ 93 , 94 ] and can augment the severity of
myocardial ischemia [ 95 ]. Previous work has shown that exercise-trained rodents
have increased cardiac output compared with sedentary littermates following
in-vivo myocardial ischemia [ 96 ]. Exercise has been long known to
increase cardiac output via myocardial hypertrophy and proliferation [ 97 ]. More
recently exercise has been shown to increase peroxisome proliferator-activated
receptor-gamma coactivator-1 α [ 98 , 99 ], which has the potential to
increase longevity and promote health [ 100 ]. Lastly, exercise has several
indirect effects that improve cardiovascular health including weight reduction
[ 101 ] and improved gut health [ 10 ]. In the following sections, we will review
each of these mechanisms in detail.
Endothelium-derived NO is essential for cardiovascular health [ 86 , 87 ] and its
production is augmented with acute [ 102 ] and chronic exercise [ 103 ].
Endothelial-derived NO is synthesized from L-arginine by endothelial nitric oxide
synthase (eNOS) and released by endothelial cells [ 104 , 105 ]. Shear stresses
placed on the endothelial cells of blood vessels cause the release of NO, which
triggers vasodilation [ 104 , 105 ]. The repeated shear stresses which are
associated with repeated bouts of exercise are thought to increase NO
bioavailability by chronically stimulating its release [ 85 ].
Improvements in rodent vascular NO bioavailability are often indicated
in-vivo by examining endothelial-dependent dilation (EDD) in the blood
vessel of interest [ 90 ]. Because NO is a key regulator of vasodilation,
reductions in EDD can be indicative of diminished NO bioavailability. Rodent
exercise perturbations ranging from 2–13 weeks have been shown to improve EDD
[ 90 , 103 , 106 ] and thus NO bioavailability. This was confirmed in an acute study
consisting of two to four weeks of treadmill training in healthy rats.
Dose-dependent EDD was improved in the skeletal muscle arterioles of the
exercise-trained rats [ 107 ], while endothelial independent dilation was not
changed. In a 13-week exercise intervention, EDD and NO production in the
femoral artery were increased in Wistar-Kyoto rats following treadmill
training [ 108 ]. Both eNOS expression and phosphorylated eNOS (Ser1177) expression
were increased in trained rats when compared to their sedentary littermates.
Exercise also has a vascular protective effect in several models of rodent
vascular dysfunction. In a study by Guers et al . [ 109 ], 6 weeks of
voluntary wheel running protected against salt-induced (4% NaCl chow) losses in
EDD in rat femoral arteries. Western blot analysis demonstrated that this may
have been mediated through a decrease in protein concentration of the reactive
oxygen species: nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 4 (NOX4) and Gp91-phox, two subunits of NADPH
oxidase. Protein concentrations of both NOX4 and Gp91-phox were
initially increased following 6-weeks of a high salt diet in rodents. Exercise
also led to an upregulation of the antioxidant superoxide dismutase-2 (SOD2).
Collectively, there was a reduction in overall oxidative stress and thus an
increase in vascular eNOS bioavailability. eNOS tends to become uncoupled with
high levels of oxidative stress [ 110 ] and thus becomes unable to synthesize NO
[ 111 ].
Exercise not only augments NO production in blood vessels but also in the heart
[ 112 ]. In a study by Kuczmarski et al . [ 113 ], 4 weeks of voluntary wheel
running helped maintain left ventricular (LV) cardiac function following an
ischemia-perfusion injury in rats in a model of chronic kidney disease.
Kuczmarski found that wheel running protected against losses in LV NO levels and
improved overall cardiac redox status [ 113 ]. Specifically, this appeared to be
mediated through an upregulation of the antioxidant SOD2 [ 113 ]. Furthermore,
similar to blood vessels, eNOS is upregulated in the heart with chronic aerobic
exercise [ 112 ]. Dogs who were treadmill trained for 10 days experienced increases
in dose dependent EDD in both coronary arteries and the microvasculature of the
heart [ 114 ]. The authors also found an increase in the constitutive nitric oxide
( ECNOS ) gene. Together these data further support the notion of an
increase in NO bioavailability in the heart as a result of exercise.
Exercise also has the potential to increase NO bioavailability in humans [ 115 , 116 ]. Performing moderate aerobic exercise for 1 hour a day for a month increased
NO generation and reduced resting blood pressure. This effect was thought to be
mediated through an increase in antioxidant enzymes in blood monocytes [ 115 ]. In
another study by Tanaka et al . [ 117 ], the authors discovered that
individuals who have high levels of aerobic fitness do not experience the typical
age-related decreases in vascular function as measured by EDD. Furthermore, 12
weeks of brisk walking restored losses in EDD in previously sedentary middle-aged
and old individuals [ 117 ]. Lastly, four weeks of home-based exercise restored
losses in forearm EDD in individuals with hypercholesterolemia independent of
dietary modifications [ 118 ].
Collectively, patients with heart failure tend to have a significant reduction
in aerobic capacity [ 119 ]. This appears to be at least partially mediated through
a reduction in NO [ 120 ]. Heart failure patients also consistently have a
reduction in EDD [ 121 ] which can be partially restored with supplementation of
L-Arginine, a precursor of NO [ 122 ]. A hallmark of heart failure tends to be the
reduction in blood flow back towards the heart which diminishes pre-load.
Exercise training has been shown to improve outcomes in patients with heart
failure by increasing NO bioavailability and in turn blood flow and preload.
Further to this, 12 weeks of aerobic exercise training increases forearm EDD in
hypertensive individuals [ 123 ].
In both the heart and blood vessels, as indicated in the aforementioned studies,
oxidative stress appears to be one of the principal mediators in reducing NO
levels consequently disrupting cardiovascular homeostasis. Oxidative stress is
defined as an imbalance of free radical production and the production of free
radical scavenging antioxidants [ 124 ]. Oxidative stress has been indicated in a
number of pathologies including CVD [ 95 , 123 , 125 ]. As an example of this: NADPH
oxidases were found to be significantly upregulated in aortic atherosclerotic
lesions taken from human autopsies [ 126 ]. Furthermore, SOD2 knockout mice
experienced increased mitochondrial oxidative stress which led to the onset of
hypertension [ 127 ] and elevations in oxidative stress levels were associated with
the severity of heart failure in both the left and right ventricles of mice
following myocardial ischemia [ 128 ]. Lastly, a clinical studyhas found
correlations between markers of oxidative stress and instances of heart failure
[ 129 ]. Interestingly, in many cases exogenous antioxidants have been shown to
improve outcomes in certain instances of CVD [ 130 , 131 ].
As mentioned earlier exercise has the capacity to increase antioxidant defenses
and decrease oxidative stress levels which protects against a reduction in NO
bioavailability and maintains normal cardiovascular function. SOD is an antioxidant that can be upregulated through exercise [ 109 , 113 ]. SOD is critical in the maintenance of cardiovascular homeostasis as it
prevents the breakdown of NO by the reactive oxygen species superoxide
(O 2 .- ) [ 132 ]. O 2 .- has a high affinity for NO and
rapidly converts it to peroxynitrite (ONOO-) which can damage lipoproteins. SOD
reacts and dismutates O 2 .- to H 2 O 2 before this reaction can
occur. An increase in O 2 .- disrupts vascular function [ 133 ] and
elevations in ONOO- levels are associated with CVD [ 134 ] (Fig. 2 ).
A representation of free radicals being scavenged by endogenous
antioxidants . Superoxide (O 2 -) reacts with nitric oxide (NO) to form
peroxynitrate (ONOO-). Superoxide dismutase (SOD) catalyzes the reaction of
O 2 - to hydrogen peroxide (H 2 O 2 ), which participates in the
formation of hydroxyl radicals ( ⋅ HO). Both catalase and glutathione
peroxidase (GPx) reduce H 2 O 2 to water (H 2 O) and oxygen (O 2 ).
Therefore, a deficiency in SOD will lead to a decrease in NO bioavailability and
diminishes vascular function. As an example, copper zinc SOD
(CuZnSOD) deficient mice had a 2-fold increase in O 2 .- relative to their control
littermates. Ultimately, this led to a decrease in dose-dependent EDD in the
carotid artery [ 135 ]. Reduced SOD has also been associated with a number of
pathologies including atherosclerosis, hypertension, and hypercholesterolemia
[ 136 ]. Importantly, as mentioned previously aerobic exercise can increase SOD
levels. In a study by Durrant et al . (2009) [ 103 ], old mice with access
to a running wheel had greater levels of aortic SOD and lower levels of NADPH
oxidases relative to their untrained littermates. This coincided with better
dose-dependent EDD and higher levels of aortic eNOS and phosphorylated eNOS
(Ser1177) expression [ 103 ].
H 2 O 2 , is the result of the dismutation of O 2 .- by SOD
and elevated levels of H 2 O 2 can also lead to oxidative stress [ 93 ] and
vascular dysfunction [ 137 ]. The antioxidants, Glutathione peroxidase (GPx) and
catalase are both capable of reducing H 2 O 2 to oxygen and water. In
humans, low levels of GPx are associated with an increased risk of CVD [ 138 ].
Furthermore, in mice, GPx deficiency led to a reduction in NO and a decrease in
vascular function [ 139 ]. Similar to GPx, low levels of catalase are also
associated with CVD [ 140 ]. Like SOD, several studies have shown that exercise
increases levels of both GPx and catalase [ 141 ].
Arterial stiffness is a consistent independent predictor of all-cause mortality
in individuals with hypertension [ 142 ]. Arterial stiffening is often associated
with atherosclerosis, aging, smoking, obesity, and hyperlipidemia amongst other
factors [ 143 ]. Over time, the structural properties of the vasculature can
change. Collagen deposition in the tunica media and the degradation of elastin
decreases the ability of arteries to dampen pulse waves and increases blood
pressure [ 144 ]. Furthermore, chronic elevations in blood pressure increase LV
overload which leads to the eventual development of LVventricular hypertrophy.
Specifically, the loss of the ability to “dampen” a pulse wave in the aorta
leaves organs with low vascular resistance vulnerable to injury [ 144 ]. One
particular example is the kidneys where the exacerbation of damage is associated
with the stiffening of both resistance arteries as well larger elastic arteries
[ 145 ].
It has been established that exercise has the ability to slow down and help
prevent vascular stiffening as well as decrease collagen levels in rodents [ 90 , 91 , 146 ] and humans [ 147 , 148 ]. Further, arterial stiffness tends to be
correlated with maximal aerobic capacity [ 130 ]. Fleenor et al .
2010 [ 146 ], found that 10–14 weeks of voluntary exercise was associated with decreased
age-related vascular stiffness. Specifically, collagen I and III fibers were
reduced. Another study examining a model of heart failure in mice discovered that
6 weeks of treadmill exercise was able to prevent the onset of aortic stiffening
relative to sedentary mice [ 149 ]. Wheel running also protected young and old mice
from arterial stiffness after consuming a Western-style diet (40% fat and 19%
sucrose) for 10–14 weeks. Sedentary mice placed on a Western-style diet also had
diminished EDD and NO bioavailability, exercise protected from losses in both.
Lastly, rats placed on a high salt diet for 6 weeks experienced increased
vascular stiffness and aortic collagen I protein expression [ 90 ]. All of these
variables were attenuated when rats were given access to a running wheel during
the same 6 weeks. Exercise-trained mice also had higher levels of aortic SOD2
protein expression when compared to sedentary rats who were placed on the same
diet.
Arterial stiffening and oxidative stress tend to go hand in hand. Oxidative
stress is a known initiator of vascular inflammation [ 150 ]. Studies have shown
that antioxidant therapy is successful at decreasing oxidative stress and
arterial stiffness. While this appears evident in animal models [ 131 , 151 ] the
results tend to be mixed in human trials [ 150 , 152 ]. When TEMPOL
(4-hydroxy-2,2,6,6-tetramethylpiperidin-1-oxyl), a superoxide dismutase mimetic
was given to aging mice, not only was EDD improved there was lower levels of
oxidative stress and large artery stiffness decreased [ 131 ]. Mitoquinone (MitoQ),
an antioxidant which targets mitochondrial specific reactive oxygen species, not
only reduced oxidative stress in aging mice but decreased aortic stiffness [ 153 ].
MitoQ was also shown to be effective in healthy older adults. Following chronic
supplementation brachial flow-mediated dilation and aortic stiffness were lower
[ 151 ].
Therefore, reduction and protection from arterial stiffness may be related to
the ability of exercise to reduce oxidative stress. Spontaneous hypertensive rats
had reduced vascular stiffness in the mesenteric and coronary arteries following
12 weeks of treadmill training. Authors found that these mice also had high NO
bioavailability and less evidence of oxidative stress when compared to the
spontaneous hypertensive rats who did not exercise [ 92 ]. Finally, voluntary wheel
running reversed aortic stiffening in old mice. There was also a subsequent
reduction in aortic O 2 bioavailability [ 154 ].
Section 4
We have previously reviewed the strong connection between the gut microbiome and
cardiovascular disease, showing how dysbiosis and specific gut-derived
metabolites can cause endothelial dysfunction, large artery stiffening,
hypertension, and ultimately CVD [ 155 ]. Since our review on this topic, the
literature has continued to evolve and continues to support a strong association
between the gut microbiome and CVD. Here, we will summarize seminal new findings
on the gut-heart axis since the publication of our previous review.
Studies since our last review have focused on understanding the role of gut
microbial derived metabolites in CVD [ 156 , 157 , 158 ]. These studies have produced
equivocal results with some metabolites like Indole-3-Propionic acid protecting
against heart failure in patients with preserved ejection fraction [ 159 ], but
others like butyrate showing no signs of altering, perhaps increasing CVD related
diseases like hypertension [ 160 ] while gut microbial metabolite imidazole
propionate (ImP) is increased in individuals with heart failure and is a
predictor of overall survival [ 161 ].
With regards to studies associating specific gut microbiota to CVD, there have
been some recent advances. Okami et al . [ 162 ], showed that as coronary
artery calcification (CAC) scores rose in Japanese men, so did the Bacillota to
Bacteroidota ratio, suggesting a relationship between higher gram-positive
microbes and artery calcification. Given this is at such a high level of
taxonomic resolution, the authors further reported that Lactobacillales
were associated with a 1.3- to 1.4-fold higher risk of CVD and a higher CAC
score. In addition, presence of Streptococcaceae and
Streptococcus were linked to a higher risk of CVD while
Enterobacteriaceae correlated with CAC scores.
Sayols-Baixeras et al . [ 163 ], showed that Streptococcus anginosus and
Streptococcus oralis had the strongest associations to CAC. Keeping in
mind findings at the level of species and strain could be beneficial for the
generation of -biotics, using bugs and drugs. Salvado et al . [ 164 ], showed that early vascular aging was associated with Bilophila ,
Faecalibacterium sp.UBA1819 and Phocea . Furthermore, when
logistic regression analysis was completed, Bilophila remained
significant. This is important because animal work has shown that
Bilophila. wadsworthia caused systemic inflammation, suggesting the
pathogenicity of this bacterium [ 165 ]. Guo et al . [ 166 ], showed that the
genera Escherichia-Shigella , Lactobacillus ,
Enterococcus were more abundant in patients with resistant hypertension
compared to normotensive adults.
While trimethylamine N-oxide (TMAO) continues to be a major gut
microbial-derived metabolite of focus for CVD [ 167 ], an emerging metabolite
phenylacetylgutamine (PAGln) has received a lot of attention recently [ 168 ]. In
2020, PAGln was discovered and is both associated with atherothrombotic heart
disease in humans [ 169 , 170 , 171 ], and mechanistically linked to cardiovascular disease
pathogenesis in animal models via modulation of adrenergic receptor signaling
[ 172 , 173 ]. Since then, Romano et al . [ 174 ] demonstrated that
circulating PAGln levels were dose-dependently associated with heart failure
presence and indices of severity (reduced ventricular ejection fraction, elevated
N-terminal pro-B-type natriuretic peptide) independent of traditional risk
factors and renal function, with associations between TMAO and incident heart
failure being stronger among Black and Hispanic/Latino adults compared to White
adults. Similar findings were shown by Tang et al . [ 175 ], which extended
the work to show that PAGIn levels, independent of TMAO, may be used as a
predictor of future CV events.
Despite these recent advances, mechanistic studies are still either in their
infancy or lacking in the field and even more importantly studies which compare
sex and race/ethnicity need urgent attention. Knowledge of which gut microbes
may be involved is a good start, but understanding their function and role in the
development of CVD is still lacking. Finally, there has been a lot of attention
on ways to manipulate the gut microbiota via fecal transplants, symbiotics,
probiotics, high-fiber diets and prebiotics, while this is outside the scope of
this review, it has recently been reviewed elsewhere and the authors call your
attention to Theofilis et al . [ 176 ].
Despite trends for reductions in mortality rates from CVD in the US between 1980
and 2010, deaths attributable to CVD are once again on the rise. One pattern that
has remained constant during this time is that racial and ethnic minority groups
in the US (and globally) experience a disproportionate burden of CVD compared to
their White counterparts [ 177 , 178 , 179 , 180 ]. Overall, CVD prevalence remains highest among
non-Hispanic Black women (59%) and non-Hispanic Black men (58.9%) [ 179 , 181 ].
Black women and Black men are more than twice as likely to die of CVD, relative
to White women and White men [ 179 , 181 ] and among young and middle-aged adult
survivors of a myocardial infarction, Black patients have a 2-fold higher risk of
adverse outcomes [ 182 ].
It has been suggested that hypertensive target organ damage is widespread in
Black and African American adults [ 183 ]. Young Black patients have an increasing
burden of CVD risk factors [ 177 ]. Individuals of Black and African American
ancestry experience hypertensive target organ damage earlier in life compared
with White Americans [ 184 ]. Black/African American adults may also be more
susceptible to the damaging effects of high blood pressure [ 185 , 186 ]. Numerous
studies note large disparities in measures of vascular health, with Black/African
American adults displaying lower NO-mediated EDD and higher large artery
stiffness and pressure from wave reflections compared with White Americans
[ 187 , 188 , 189 ]. We and others have shown that disparities in these vascular health
measures can be seen in childhood and correlate with proxies of target organ
damage such as carotid intima-media thickness, LV mass, myocardial work, and
coronary perfusion [ 190 , 191 , 192 , 193 ]. Such “early vascular aging” in Black/African
American adults likely serves as the catalyst for detrimental LV remodeling,
heart failure, and future CVD [ 194 ]. For the past several decades, racial
differences in CVD were ascribed to biological (“genetic”) differences (e.g.,
biological differences in inflammation, oxidative stress, NO metabolism,
renin-angiotensin-aldosterone system, and autonomic nervous system function),
neglecting the crucial role of the environment on risk [ 195 , 196 , 197 ]. It is now
commonly recognized that cardiovascular health disparities are driven largely by
deep-rooted structural racism and not race per se [ 178 , 198 , 199 , 200 ].
Individuals who self-identify as members of a racial or ethnic minority group
experience greater obstacles to health due to social, economic, and/or
environmental disadvantages [ 199 ]. Systemic oppressive structures, policies, and
practices in the US (i.e., social injustice) have created inequity in access to
resources, services, and opportunities in minoritized (and marginalized) groups,
driving disparities in SES and cardiovascular health [ 201 ]. Minority-related
psychosocial stressors experienced by marginalized groups such as prejudice,
discrimination, pressure to conform to a group stereotype by members of the same
marginalized group, and pressure to acculturate/acculturation, are emerging as
powerful risk factors for CVD and cardiovascular mortality [ 202 ]. Indeed,
perceived discrimination is associated with increased risk for hypertension,
systemic inflammation and oxidative stress, subclinical atherosclerosis, and
detrimental vascular remodeling (increased carotid intima-media thickness,
coronary artery calcification, and large artery stiffness), target organ damage,
myocardial infarction, heart failure, and stroke [ 203 , 204 , 205 , 206 , 207 ]. Other factors related
to structural racism such as lower SES, educational attainment, place of birth,
neighborhood safety and food insecurity from residential segregation, and built
environment (i.e., access to blue and green space, also shaped by
neighborhood-level racial residential segregation) are barriers to ideal
cardiovascular health [ 208 , 209 , 210 , 211 , 212 , 213 ]. Moreover, each of these social determinants of
health (SDoH) along with others such as stress from the incarceration of family
or friends, job insecurity, violence in the home setting, and healthcare access
are also associated with hypertension, inflammation, and oxidative stress,
subclinical atherosclerosis, detrimental vascular remodeling, target organ
damage, and ultimately CVD [ 214 , 215 , 216 , 217 , 218 , 219 , 220 , 221 ]. We have recently shown that environmental
toxicants found in higher concentrations in areas of lower SES are
“cardiovascular disruptors” in children, contributing to altered vascular
reactivity (greater blood pressure and vascular resistance in response to
psychological stress) and subclinical CVD measured as carotid intima-media
thickness at a young age [ 222 , 223 , 224 , 225 ]. Additionally, we have shown that relative to
White children, Black children have significantly greater hair cortisol levels
and flatter diurnal slopes, which were in turn associated with subclinical CVD
(measured as carotid intima-media thickness and aortic stiffness) [ 222 ]. Black
children experienced significantly more environmental stress than White children
with income inequality partially explaining the higher subclinical CVD risk in
Black children [ 222 ]. Taken together, psychosocial determinants are the likely
drivers of early (premature) vascular aging in Black and African American people
in the US, some of which may be transmitted intergenerationally via biological
(i.e., prenatal fetal programming) and social (i.e., early life adversity)
mechanisms. This hypothesis is in keeping with minority stress theory and the
weathering hypothesis whereby chronic exposure to social and economic
disadvantage leads to increased allostatic load and accelerated biological (and
physiological) “wear and tear” on end organs causing inflammation and oxidative
stress, hastening aging [ 226 ].
This section will examine racial variation in the gut microbiome with
consideration for how the systemic environment (i.e., structural racism) impacts
the microbial environment to perpetuate cardiovascular health disparities. As
introduced above, there is growing evidence that the social and environmental
gradients which contribute to health inequities also predict gut microbiota
traits [ 227 ]. Evidence shows that the human microbiome variation is linked to the
incidence, prevalence, and mortality of many diseases and is associated with race
and ethnicity in the US. To date, there have been several studies (discussed next) that have
examined this outcome and have identified gut microbiota profiles shaped by host
environments which affect host metabolic, immune, and neuroendocrine functions,
making it an important pathway by which differences in experiences caused by
social, political, and economic forces could contribute to health inequities.
It is thought that the gut microbiota is well established by the time a child is
4 years old, and there is strong evidence that maternal, and family socioeconomic
status can influence gut microbiota. Several investigators have analyzed data
from the Food and Microbiome Longitudinal Investigation (FAMiLI) study to obtain
answers on how maternal family and SES influences the gut. FAMiLI is an ongoing
multi-ethnic prospective study in the US that began in 2016 where participants
complete demographic questionnaires and (optional) food frequency questionnaires
and provide oral and stool samples. In 2020, Peters et al . [ 228 ],
analyzed samples from 863 US residents, including US-born (315 White, 93 Black,
40 Hispanic) and foreign-born (105 Hispanic, 264 Korean). The authors determined
dietary acculturation from dissimilarities based on food frequency questionnaires
and used 16S rRNA gene sequencing to characterize the microbiome [ 228 ]. Their
results showed a clear difference in gut microbiome composition across study
groups. They found the largest differences in gut microbiota between foreign-born
Koreans and US-born Whites, and significant differences were also observed
between foreign-born and US-born Hispanics. Specifically, differences in
sub-operational taxonomic unit (s-OTU) abundance between foreign-born and US-born
groups tended to be distinct from differences between US-born groups.
Bacteroides plebeius , a seaweed-degrading bacterium, was strongly
enriched in foreign-born Koreans, while Prevotella copri and
Bifidobacterium adolescentis were strongly enriched in foreign-born
Koreans and Hispanics, compared with US-born Whites. Dietary acculturation in
foreign-born participants was associated with specific s-OTUs, resembling
abundance in US-born Whites; e.g., a Bacteroides plebeius s-OTU was
depleted in highly diet-acculturated Koreans. The authors concluded that US
nativity is a determinant of the gut microbiome in a US resident population.
The “sociobiome” was coined by Nobre and Alpuim Costa [ 229 ] to describe the
microbiota composition occurring in residents of a neighborhood or geographic
region due to similar socioeconomic exposures; socioeconomic status. Recently,
Kwak et al . [ 230 ], using the FAMiLI cohort, investigated the sociobiome
in a large, multi-ethnic sample. The cohort consisted of 825 adults (36.7%
male), with a mean age of 59.6 years and racial and ethnic group composition
consisting of 311 (37.7%) non-Hispanic White, 287 (34.8%) non-Hispanic Asian,
89 (10.8%) non-Hispanic Black, and 138 (16.7%) Hispanic participants and
compared alpha-diversity, beta-diversity, and taxonomic and functional pathway
abundance by SES. They showed that lower SES was significantly associated with
greater α -diversity and compositional differences among groups, as
measured by β -diversity. Several taxa related to low SES were identified,
especially an increasing abundance of Prevotella copri and
Catenibacterium sp000437715 , and decreasing abundance of
Dysosmobacter welbionis in terms of their high log-fold change
differences. This is significant as Dysosmobacter welbionis was isolated
from human commensal bacterium from samples provided by the Human Microbiome
Project, American Gut Project, Flemish Gut Flora Project and Microbes4U projects.
This bacterium was detected in 62.7%–69.8% of the healthy population and
correlates negatively with body mass index, fasting glucose and glycated
hemoglobin. In addition, Cani’s group using the humanized mouse model, taking
human fecal samples/strains and putting them into a mouse, showed that
Dysosmobacter welbionis prevented diet-induced obesity and metabolic
disorders in mice by reducing fat mass gain, insulin resistance and white adipose
tissue hypertrophy and inflammation [ 231 ]. In addition, live
Dysosmobacter welbionis administration protected the mice from brown
adipose tissue inflammation in association with increased mitochondria number and
non-shivering thermogenesis. While this has yet to be translated to humans, the
reduction of this bacteria in the human study coupled with its actions seen in
animal studies suggest that the lack of this bacteria may place individuals at
increased risk for metabolic disorders and adipose tissue dysfunction which could
lead to adverse CVD outcomes.
Most recently, Mallott et al . [ 232 ], set out to determine the age at
which microbiome variability emerges between race and ethnic groups. They used 8
datasets with 16S ribosomal RNA (rRNA) sequencing data and available race and ethnicity metadata
for this study. Individuals between birth and 12 years of age, living in the US,
with a caregiver-reported race of Black, White, or Asian/Pacific Islander, and
with a caregiver-reported ethnicity of Hispanic or non-Hispanic were included in
the analysis. They found that race and ethnicity did not significantly vary with
gut microbiome alpha-diversity or beta-diversity in the early weeks and months of
life, including the first week, 1 to 5.9 weeks, and 6 weeks to 2.9 months,
however, at 3 to 11.9 and 12 to 35.9 months, gut microbiome composition varied
slightly but significantly by both race and ethnicity. The group concluded that
race and ethnicity are associated with gut microbiome composition and diversity
beginning at 3 months of age, indicative of a narrow window of time when this
variation emerges [ 232 ].
Finally, discrimination and stress have been found to contribute to changes in
gut microbiota among racial and ethnic groups [ 233 , 234 ]. A study by Dong
et al . [ 235 ], examined 154 adults from the Los Angeles community and
clinics. Participants self-reported race and ethnicity (Asian American, Black,
Hispanic, or White) and discrimination was measured using the Everyday
Discrimination Scale. Hispanic individuals self-reported the highest levels of
early-life adversity, while Black individuals reported the highest levels of
resilience. Microbiome and metabolite differences related to discrimination were
only apparent when stratified by race/ethnicity. Results showed that
Prevotella copri was the highest in Black and Hispanic individuals, who
experienced high levels of discrimination, whereas White individuals reported low
levels of discrimination. Isovalerate and valerate were significantly lower in
Hispanic than in White individuals and fucosterol was significantly higher in
Asian rather than White individuals. In a related study, Zhang et al .
[ 236 ], investigated the impact of discrimination exposure on brain reactivity to
food images and associated dysregulations in the brain–gut–microbiome axis. By
employing multi-omics analyses of neuroimaging and fecal metabolite, they showed
that discrimination is associated with increased food-cue reactivity in regions
of the brain important for reward, motivation and executive control; altered
glutamate-pathway metabolites involved in oxidative stress and inflammation as
well as a preference for unhealthy foods. In addition, the relationship between
discrimination-related brain and gut signatures was shifted towards unhealthy
sweet foods after adjusting for age, diet, body mass index, race and SES. Given
the extensive literature on diet, obesity and the gut microbiota, these results
are significant in suggesting that individuals facing discrimination may prefer
unhealthy foods (and/or may not have access to healthy foods) contributing to a
more dysbiotic gut and thus adverse cardiometabolic health outcomes.
In conclusion, there are distinct gut microbiota profiles between racial and
ethnic groups, which appear to be influenced by acculturation [ 237 , 238 , 239 ],
discrimination and stress [ 233 , 234 ], and diet [ 240 ], which may occur as early as
3 months of age. Where a person lives and the related neighborhood and
environmental constraints, what stresses they are exposed to, and what a person
eats (both what they choose to eat and what they have access to eat) may shape
the gut microbiome more than race or ethnicity per se. Finally, these distinct
gut microbial community structures can exacerbate CVD risk among minority racial
and ethnic groups [ 241 ] (Fig. 3 ).
Working conceptual model . Race, ethnicity, gender, and sex
interact (i.e., intersectionality) and are shaped by social determinants of
health (SDoH) to moderate gut effects (dysbiosis, diversity, specific
metabolites, gut “age”) on subclinical cardiovascular disease (CVD)
(endothelial dysfunction, large artery stiffness) - driving CV health disparities
and overt CVD (hypertension, coronary ischemia and vasospasm, myocardial
infarction, heart failure). CV, cardiovascular.
Another prejudice that has a profound impact on health and CVD risk is sexism
[ 242 ]. Women, in general, have also been historically marginalized due to
institutionalized patriarchy and a male-dominated social system. When considering
the impact of sexism on CVD, we must first operationalize and contextualize
differences (and overlap) between biological sex and gender. Sex, when considered
biologically, comprises genetic differences related to chromosomes, gonadal
structure and function, and hormonal sequela. We will conceptualize sex as
referring to male, female, and intersex. Gender is a social construct based on
sociocultural predetermined roles, relationships, and stereotypes (e.g.,
masculine versus feminine). Gender can be shaped by different power dynamics and
how we interact with others around us based on ascribed gender and can vary based
on regionality, nationality, and temporality (i.e., ideals can change over time).
Gender also encompasses gender identity referring to a person’s inner sense of
self as a man, woman, nonbinary person, or agender person among other identities.
Sex and gender can be considered together to inform on both biological sex and
self-identified gender. For example, a person who identifies as a cis-gender
woman is a woman whose self-identified gender aligns with the biological sex
assigned at birth.
In the context of CVD, biological sex and gender may converge to affect risk
[ 243 , 244 ]. Women are typically believed to be at lower risk for CVD owing to the
biological effects of the gonadal hormone estrogen. Note here that we do not
consider estrogen a sex hormone per se as both men and women produce estrogen
(and testosterone), just in varying amounts. Just as low estrogen is associated
with increased risk for coronary heart disease and CVD mortality in older men
[ 245 ], low testosterone is associated with a greater risk of ischemic CVD and
major adverse cardiovascular events in older women [ 246 , 247 ]. Subsequently, CVD
risk increases in women with advancing age, particularly post-menopause. With
that said, it should be highlighted that CVD remains the leading cause of
mortality in women of all ages, and hospitalizations and deaths attributed to CVD
have witnessed an increase for younger and middle-aged women [ 248 ]. The reasons
for these observations are likely multifactorial and may partly be related to
societal sex- and gender-based discriminatory attitudes [ 249 ]. Not until the
American Heart Association’s “Go Red” campaign has there been equitable
education and promotion of CVD risk for women. As such, educational efforts on
signs, symptoms, risk factors, and consequences of CVD in women were sparse. This
may have contributed to increased CVD risk factor burden in women and women being
less likely to seek timely medical care for signs and symptoms related to CVD. As
cardiology is still a predominantly male workforce drawing from scientific
literature where women are underrepresented, implicit bias may affect clinical
decision-making. For example, signs of myocardial infarction are often
categorized as “atypical” in women not because they are abnormal but because
they are different from men, with male symptomology being construed as the norm.
Some male physicians may also incorrectly assume that a younger/middle-aged woman
presenting with chest pain cannot be having a myocardial infarction because that
would go against the entrenched dogma that estrogen is cardioprotective. As a
result, when seeking care, women have longer wait times when presenting with
chest pain, are more likely to be misdiagnosed, more likely to have symptomology
dismissed, and are less likely to be prescribed medications or treatments known
to mitigate risk [ 250 ]. Women are also less likely to be referred to cardiac
rehabilitation after a cardiac event [ 251 , 252 ]. Together, all of these factors
contribute to women having poorer outcomes after a cardiovascular event compared
to men.
Women are more likely to develop concentric LV remodeling and heart failure with
preserved ejection fraction than men [ 253 ]. The pathophysiology of coronary
artery disease also differs by sex with women possibly having coronary
endothelial dysfunction and microvascular defects compared to men, contributing
to sexual dimorphism in acute coronary syndromes [ 254 ]. While premenopausal women
may have better endothelial function than men [ 255 ], we and others have shown
that women may have greater pressure from wave reflections increasing central
hemodynamic load [ 256 , 257 , 258 ]. Sex differences in central hemodynamic burden may
contribute to greater LV diastolic dysfunction and associations between arterial
stiffness and LV mass/LV diastolic dysfunction may be greater in women compared
to men [ 259 , 260 , 261 ]. Large artery stiffness increases disproportionately in
postmenopausal women and the association between large artery stiffness and CVD
mortality is almost twofold higher in women versus men [ 262 ]. As noted above, it
is difficult to parse out how much CVD risk is attributable to sex and how much
to gender. Some CVD risk in this setting has been suggested to be related to
stature (e.g., smaller coronary arteries experiencing more shear stress, shorter
aortic length contributing to greater pressure from wave reflections) [ 263 , 264 ],
which may be theorized to be biologically driven. Some CVD risk may be related to
the physiological response to mental stress [ 265 , 266 , 267 ], which may be influenced by
psychosocial determinants of health. Myocardial ischemia and peripheral
microvascular endothelial dysfunction in response to mental stress are greater in
women compared to men and associated with major adverse cardiovascular events in
women only [ 268 ]. Taken together, CVD risk in women likely captures the
interaction of both sex and gender on cardiovascular structure and function.
While traditional risk factors (age, lipids, glucose, smoking, blood pressure)
affect CVD risk in women and men similarly, there are also sex-specific risk
factors that are critically important to consider for women [ 269 ]. Sex-specific
risk factors relate to biological variation in reproductive health factors and
are uniquely ascribed to female biological sex [ 270 ]. Such risk factors may
include adverse pregnancy outcomes (e.g., hypertensive disorders of pregnancy,
gestational diabetes, fetal growth restriction, preterm delivery, and placental
abruption), premature menarche, premature menopause and vasomotor symptoms,
endometriosis and polycystic ovarian syndrome [ 270 ]. Additionally, there are
other emerging CVD risk factors caused by other comorbidities and social factors
that are more prevalent in women and may be influenced by both sex and gender.
These factors include autoimmune disorders, migraine, fibromyalgia, postural
orthostatic tachycardia syndrome, osteoporosis, breast cancer, irritable bowel
syndrome, abuse, intimate partner violence, post-traumatic stress disorder,
anxiety, and depression [ 270 ]. Each of the aforementioned female sex-specific and
female sex-prevalent risk factors is associated with increased risk for
hypertension, systemic inflammation and oxidative stress, subclinical
atherosclerosis, and detrimental vascular remodeling (increased carotid
intima-media thickness, coronary artery calcification, and large artery
stiffness), target organ damage, myocardial infarction, heart failure, and stroke
[ 271 ].
When considering intersectionality, Black and Hispanic women may encounter
“double jeopardy” due to the combination of race and ethnicity bias, coupled
with sex and gender bias [ 272 ]. Minority women experience additional ethnic,
racial and gender constraints and risks including reduced health care access,
possible language barriers, lower health literacy, racial discrimination,
pressure to acculturate or conform to both a racial and culturally gendered
identity, higher reports of depression and higher incidence of pregnancy
complications (e.g., hypertensive disorders of pregnancy) [ 273 , 274 ]. As stated
above, these SDoH are also CVD risk factors and are as important and sometimes
more important correlates of subclinical CVD in women [ 275 , 276 , 277 , 278 , 279 , 280 , 281 ]. As such, the
prevalence of sex-specific CVD risk factors, coronary artery disease, heart
failure, and stroke is highest among non-Hispanic Black women [ 282 ]. As stated by
the American Heart Association, to understand and address the root causes of the
prominent disparities in CVD outcomes between Black and White women and men in
the United States, the intersectional aspects between race, sex, and gender must
be considered [ 283 ]. Nearly 60% of Black women have CVD, contributing to a
persistent life expectancy gap in the US [ 181 ]. Current life expectancy for
Non-Hispanic Black women is 75 years on average compared with 80 years for
non-Hispanic White women [ 269 ]. CVD is also the most prominent cause of mortality
amongst Hispanic women, with approximately 42% of Hispanic women having CVD
[ 181 ]. Paradoxically, despite a higher prevalence of such traditional CVD risk
factors such as diabetes, obesity, and metabolic syndrome, CVD death rates in
Hispanic women have remained 15% to 20% lower than in non-Hispanic White women
- an observation commonly referred to as the Hispanic Paradox [ 284 ].
Interestingly, we have seen that young Hispanic women have better endothelial
function and lower large artery stiffness compared to White women [ 285 ],
suggesting that traditional CVD risk factors may not capture actual CVD risk in
this population. It should be noted that this paradox is disappearing as Hispanic
American individuals acculturate and adopt the high-fat, sedentary lifestyle of
those with US nativity [ 286 ]. As noted above, sex differences in the vascular
response to mental stress are a predictor of major adverse cardiovascular events
in women. Endothelial dysfunction in response to mental stress is also a
predictor of adverse CV outcomes in Black adults, explaining 69% of their excess
risk [ 287 ]. Notable predictors of the development of transient endothelial
dysfunction with mental stress beyond Black race include female gender,
employment status, income, and a composite distress score derived from
post-traumatic stress disorder, depression, anxiety, anger, perceived stress and
racial discrimination [ 288 , 289 , 290 , 291 ]. These findings highlight the importance of
intersectionality and psychosocial determinants of vascular health impacting CVD
risk in women, particularly Black women.
There is also emerging evidence that lesbian, gay, bisexual, transgender, and
queer or questioning (LGBTQ+) adults, as a stigmatized and marginalized group,
experience notable cardiovascular health disparities [ 292 , 293 ]. According to the
American Heart Association, people who are transgender and gender diverse may be
at greater risk for CVD [ 294 ]. There is growing evidence that LGBTQ+ adults
experience worse cardiovascular health relative to their cisgender heterosexual
peers [ 292 , 295 ]. For example, men who are transgender have a > 2-fold and
4-fold increase in the prevalence of myocardial infarction compared with men who
are cisgender and women who are cisgender, respectively. Conversely, women who
are transgender have > 2-fold increase in the prevalence of myocardial
infarction compared with women who are cisgender. Moreover, compared to
heterosexuals, sexual minorities are at a higher risk of hypertension and CVD and
more likely to develop CVD at an earlier age [ 296 , 297 ]. It should be underscored
that the LGBTQ+ (intersexual, asexual, pansexual, two spirit) community is not a
monolithic group [ 298 ]. Each has unique lived experiences that may subsequently
shape CVD risk. Differences in CVD risk are partially, but not completely,
explained by traditional CVD risk factors suggesting that SDoH plays a
significant role. LGBTQ+ adults not only experience significantly higher
discrimination from the broader community, but also specifically from healthcare
professionals [ 299 ]. Additional psychosocial risk factors including self-stigma
and internalized phobia, gender-related victimization, expectations of rejection,
and concealment, all detrimentally impact mental health (anxiety, depression) and
behavioral health (diet, sleep, physical activity, alcohol and tobacco/nicotine
use) [ 300 , 301 ]. Together, these factors may contribute to inflammation and
oxidative stress, hastened vascular aging, subclinical atherosclerosis, target
organ damage and overt CVD [ 302 , 303 ].
Biological effects of gender-affirming hormone therapy (GAHT) may also have an
impact on CVD risk [ 304 , 305 ]. Use of GAHT in transgender and nonbinary
individuals is perceived to improve cardiovascular health [ 306 ]. The association
between GAHT and CVD risk is complex [ 307 ]. A higher blood concentration of
testosterone among women who are transgender is associated with higher odds of
having hypertension. Cross-sectional comparisons between men who are transgender
receiving testosterone cypionate compared with age-matched women who are
cisgender have found reduced endothelial function measured via brachial artery
flow-mediated dilation [ 308 ]. In cross-sectional studies, carotid intima-media
thickness, arterial stiffness and measured via brachial-ankle pulse wave
velocity, and carotid augmentation index are higher in men transitioning (female
to male) receiving testosterone than in men who are transgender not receiving
hormone therapy [ 309 , 310 , 311 ]. Similarly, transgender men on long-term treatment with
testosterone have higher aging-related aortic stiffening [ 312 ], suggesting
accelerated vascular aging in transgender men receiving gender-affirming hormone
treatment. This is supported by animal studies noting that female mice receiving
dihydrotestosterone experience hastened rates of arterial stiffening and
cardiovascular damage, mediated by decreased estrogen receptor expression [ 313 ].
Brachial artery flow-mediated dilation is higher in women who are transgender
treated with estrogen than in age-matched men who are cisgender but is similar to
women who are cisgender [ 314 , 315 ]. Women who are transgender receiving estrogen
also have a greater forearm blood flow response to acetylcholine, an
endothelial-dependent vasodilator, than age-matched men who are cisgender [ 314 ].
In summary, GAHT is associated with an increased risk of subclinical
atherosclerosis in transgender men but may have either neutral or beneficial
effects in transgender women [ 316 ].
This section will consider the mediating and moderating effects of sex,
sex-specific CVD risk factors, and gender (operationalized as sexual orientation
and gender identity) on the gut microbiome as an effector of CVD risk (Fig. 3 ).
As stated above, there are notable sex differences in gut microbiota across a
lifespan, and these differences may serve, in part, as the substrate for sex
differences in CVD risk across a lifespan. The distribution of gut microbiota
varies according to age (childhood, puberty, pregnancy, menopause, and old age)
and sex. Also, as already established, this gut microbiota can contribute and is
linked to CVD. It is critical to understand which gut microbiota and/or microbial
derived metabolites may be linked to CVD in the sexes. To that end,
Garcia-Fernandez et al . [ 317 ], analyzed gut microbiota data from the
CORDIOPREV study, a clinical trial which involved 837 men and 165 women with CVD
compared to their reference group of 375 individuals (270 men, 105 women) without
CVD. They clearly demonstrated a sex-specific difference in beta diversity.
Additional analysis showed there were sex-specific alterations in the gut
microbiota linked to CVD. Women who have CVD show increased UBA1819
( Ruminococcaceae ), Bilophila , Phascolarctobacterium ,
and Ruminococcaceae incertae sedis while men with CVD had a higher
abundance of Subdoligranulum , and Barnesiellaceae . The authors
concluded that the dysbiosis of the gut microbiota associated with coronary heart disease (CHD) seems to
be partially sex-specific, which may influence the sexual dimorphism in its
incidence particularly since the bacteria identified to be higher in CVD patients
are linked to inflammation, intestinal barrier dysfunction, and CVD directly
[ 317 , 318 ].
The dysbiotic gut microbiome is associated with increased blood pressure and
risk of hypertension [ 319 ]. Virwani et al . [ 320 ], specifically examined
sex differences, gut microbiota and hypertension. Interestingly they reported
that significant differences in beta-diversity and gut microbiota composition in
hypertensive versus normotensive groups were only observed in women and not in
men. Specifically, Ruminococcus gnavus , Clostridium bolteae ,
and Bacteroides ovatus were significantly more abundant in hypertensive
women, whereas Dorea formicigenerans was more abundant in normotensive
women. Furthermore, total plasma short-chain fatty acids and propionic acid were
independent predictors of systolic and diastolic blood pressure in women but not
men. Ruminococcus gnavus and Clostridium bolteae have been
reported to induce inflammation and are pathogenic in humans. Gut
microbial-derived metabolites are likely critical to affect the way gut
microbiota influences systemic disease states. As noted above, butyrate may
exacerbate hypertension, as propionate has also been demonstrated in this study
[ 160 ]. However, the mechanisms by which this occurs are not elucidated, but need
to be to fully understand the interactions of these SCFA and hypertension
outcomes in women.
In addition to sex differences in gut microbiota and CVD, there are also sex
differences in many of the risk factors associated with CVD of which most have
associations with the gut microbiota including diabetes, hypertension and
dyslipidemia, and obesity (see review by Ahmed and Spence [ 321 ]), which may
be further exacerbated by race and ethnicity [ 322 ]. In addition, sex-specific CVD
risk factors related to maternal health during pregnancy may also influence and
be influenced by the gut microbiome. In 2023, Colonetti et al . [ 323 ],
conducted a meta-analysis which included 6 studies, with 479 pregnant women. They
reported a significantly lower gut microbiota alpha diversity in pregnant women
with pre-eclampsia in comparison with healthy controls, while no significant
differences were found in the relative abundance of Bacteroidota, Bacillota,
Actinomycetota, and Pseudomonadota, despite significant differences being
reported in the individual studies [ 323 ]. However, this could be due to a number
of factors, most significantly the analytical techniques used to identify lower
levels of taxonomic resolution that vary greatly between gut microbiota studies.
A rodent study by Jama et al . [ 324 ], examined female C57BL/6J dams fed
nutrient-matched high- or low-fiber diets during pregnancy and lactation, to
understand how maternal fiber influences the gut microbiota. In addition, to
evaluate long-term effects and predisposition to CVD, the authors exposed
6-week-old male offspring to saline or angiotensin II for 4 weeks to induce
hypertension and organ damage. Results showed that male offspring from
low-fiber-fed dams had significantly larger hearts relative to body weight, and
echocardiography studies in the offspring demonstrated low-fiber offspring had
increased LV posterior wall thickness, confirming hypertrophy, and reduced
ejection fraction, showing reduced LV contraction [ 324 ]. Regarding the gut
microbiota, offspring born to dams who received a low-fiber diet showed distinct
gut microbial colonization that persisted into adulthood, with higher levels of
several taxa, including Akkermansia species. Furthermore, the authors
reported that they identified 174 microbial enzymatic pathway signatures enriched
in low-fiber offspring with 154 of the identified enzyme signatures in low-fiber
belonged to Akkermansia muciniphila . Akkermansia
muciniphila -upregulated genes encoded for mucolytic enzymes that degrade the
intestinal mucus, putting the colon at risk for inflammation [ 324 ]. In contrast,
high-fiber offspring had only 5 grouped enzyme signatures, which belonged to
Bacteroides ovatus , Escherichia coli , and Lactobacillus
murinus ; the latter of which has been known to reduce inflammatory pathways and
blood pressure. The gut microbiota of women with hypertensive disorders of
pregnancy is different from that of women with normotensive pregnancy [ 325 ].
Pregnant women with hypertensive disorders of pregnancy had a higher abundance of
Rothia , Actinomyces , and Enterococcus and a lower
abundance of Coprococcus than pregnant women with normotension [ 325 ].
Indeed, results from Mendelian randomization support a causal relationship
between gut microbiota and hypertensive disorders of pregnancy [ 326 ]. Wu
et al . [ 326 ] found causal associations of
LachnospiraceaeUCG010 , Olsenella , RuminococcaceaeUCG009 ,
Ruminococcus2 , Anaerotruncus , Bifidobacterium , and
Intestinibacter with gestational hypertension, of Eubacterium
( ruminantium group ), Eubacterium ( ventriosum group ),
Methanobrevibacter , RuminococcaceaeUCG002 , and
Tyzzerella3 with preeclampsia, and of Dorea and
RuminococcaceaeUCG010 with eclampsia, respectively. These findings are
supported by experimental studies whereby fecal microbiota transplantation from
preeclamptic women into preeclamptic rats significantly exacerbated the phenotype
whereas the gut microbiota of healthy pregnant women had significant protective
effects [ 327 ]. Akkermansia muciniphila , propionate, or butyrate
significantly alleviated the symptoms of preeclamptic rats whereas
Akkermansia , Oscillibacter , and SCFAs could be used to
accurately diagnose preeclampsia [ 327 ]. Taken together, recent findings support
that gut dysbiosis is important in the etiology of preeclampsia, a significant
sex-specific risk factor for CVD in women.
To date there are very few studies examining gut microbiota and gender
(operationalized as sexual orientation and gender identity) hence research in
this area is greatly needed. Rosendale et al . [ 328 ], recently published
a cross-sectional study of 12,180 adults using 2007–2016 National Health and
Nutrition Examination Survey data, Black, Hispanic, and White sexual minority
female individuals with the primary outcome of overall cardiovascular health
score. Results showed that Black, Hispanic, and White sexual minority female
adults had lower overall cardiovascular health scores compared with their
heterosexual counterparts. Furthermore, there were no differences in overall
cardiovascular health scores for sexual minority male individuals of any race or
ethnicity compared with White heterosexual male individuals [ 328 ]. It is
important to mention that there are even fewer studies on GAHT and gut microbiota
[ 329 ], and none to our knowledge which include CVD which is an area of research
importance.