ArticlePDF Available

Abstract

Metabolic diseases appea commonly in all countries of the world with advancing age. Approximately one in ten people around the world have diabetes (Type II) and others have a risk of diabetes. It is a known fact that regular physical activity, not only provides a healthy and quality life, it also reduces the risk of getting chronic diseases such as metabolic and cardiovascular diseases. Many studies have been conducted in recent years, suggesting that being active or passive can also be caused by genetic factors with a comprehensive literature base that considers the effects of environmental factors and lifestyle on physical activity levels. Scientists are trying to reveal the effects of the fatty acid binding protein (fatty acid binding protein, FABP)-4, which controls the intracellular fatty rate and triggers the shift of metabolism from balance to imbalance as a result of overnutrition, and (nuclear respiratory factor, NRF)-1 gene, which ensures the preservation of intracellular harmony. The only alternative method that triggers the transition from imbalance to stability (stable) is to increase the activity level and make exercise a part of life. Some genetic structures can arise with many genes and many factors. Genetic infrastructure is susceptible to risk and this can be observed at a high rate in some people. Physical activities are the most effective application and protection method that allows the effects of NRF1 gene to increase by reducing the effect of the FABP4 gene. Regular exercises reduce the risk of getting metabolic and chronic diseases such as cancer, blood pressure and diabetes triggered by genetics and lifestyle by affecting the condition of genetic codes in the body. Introduction DNA sequences from the past, which can remain essentially the same, have in no way prepared and coded the human being to adapt to the new world order. This contrast life or contradiction between the present and the past has left its signature on many of the diseases presented by modern life. Metabolic diseases (asthma, respiratory diseases, diabetes, hypertension, Alzheimer's, cancer, etc.) appea commonly in all countries of the world with advancing age. Approximately one in ten people around the world has diabetes (Type II) and others have a risk of diabetes (1, 2). Diabetes alone causes deaths of millions of people each year. Cardiovascular diseases increase by about forty million. There are more diabetic patients than those who die from cardiovascular diseases, tuberculosis, malaria and pneumonia. It is a known fact that regular physical activity not only provides a healthy and quality life (3), it also reduces the risk of getting chronic diseases such as metabolic and cardiovascular diseases (4, 5). Active living also reduces the risk of type II diabetes, breast and colon cancer (6, 7). The health consequences of common diseases and the scientific evidence of the effects of mortality rates on risk factors that can occur in the context of insufficient physical activity and sedentary lifestyle are clear and striking (8). Studies conducted to date show that there are different genetic components that affect responses related to activity level in sedentary people (sedentary) and active people (9, 10). Significant individual differences were found among individuals in their responses to regular physical activity, even when exposed to similar exercise intensities tailored to their tolerance levels (11). The most striking example of the effect of heredity, lifestyle and environmental factors is that the answers given to the daily physical activity level and the amount of energy used (total calories) reveal individual differences. Studies conducted on families confirm that genetics constitute some of the individual
Research in Physical Education, Sport and Health
2020, Vol. 9, No. 2, pp.57-64
ISSN(Print):1857-8152; ISSN(Online):1857-8160
www.pesh.mk 57
RELATIONSHIP BETWEEN GENES, PHYSICAL ACTIVITY & METABOLIC
DISEASES
DOI: https://doi.org/10.46733/PESH20920057c
(Review Article)
Mesut Cerit1, Metin Dalip2, Damla Selin Yildirim3
1, 3Lokman Hekim University, Department Faculty of Sport Sciences, Sogutozü, 06510, Ankara, Turkey
2Tetowa Üniversity, Department of Sport Sciences
Abstract
Metabolic diseases appea commonly in all countries of the world with advancing age. Approximately
one in ten people around the world have diabetes (Type II) and others have a risk of diabetes. It is a known
fact that regular physical activity, not only provides a healthy and quality life, it also reduces the risk of
getting chronic diseases such as metabolic and cardiovascular diseases. Many studies have been conducted
in recent years, suggesting that being active or passive can also be caused by genetic factors with a
comprehensive literature base that considers the effects of environmental factors and lifestyle on physical
activity levels. Scientists are trying to reveal the effects of the fatty acid binding protein (fatty acid binding
protein, FABP)-4, which controls the intracellular fatty rate and triggers the shift of metabolism from
balance to imbalance as a result of overnutrition, and (nuclear respiratory factor, NRF)-1 gene, which
ensures the preservation of intracellular harmony. The only alternative method that triggers the transition
from imbalance to stability (stable) is to increase the activity level and make exercise a part of life. Some
genetic structures can arise with many genes and many factors. Genetic infrastructure is susceptible to risk
and this can be observed at a high rate in some people. Physical activities are the most effective application
and protection method that allows the effects of NRF1 gene to increase by reducing the effect of the FABP4
gene. Regular exercises reduce the risk of getting metabolic and chronic diseases such as cancer, blood
pressure and diabetes triggered by genetics and lifestyle by affecting the condition of genetic codes in the
body.
Keywords: Metabolic diseases, Physical Activity, FABP4, NRF1.
Introduction
DNA sequences from the past, which can remain essentially the same, have in no way prepared and
coded the human being to adapt to the new world order. This contrast life or contradiction between the
present and the past has left its signature on many of the diseases presented by modern life. Metabolic
diseases (asthma, respiratory diseases, diabetes, hypertension, Alzheimer's, cancer, etc.) appea commonly
in all countries of the world with advancing age. Approximately one in ten people around the world has
diabetes (Type II) and others have a risk of diabetes (1, 2). Diabetes alone causes deaths of millions of
people each year. Cardiovascular diseases increase by about forty million. There are more diabetic patients
than those who die from cardiovascular diseases, tuberculosis, malaria and pneumonia. It is a known fact
that regular physical activity not only provides a healthy and quality life (3), it also reduces the risk of
getting chronic diseases such as metabolic and cardiovascular diseases (4, 5). Active living also reduces the
risk of type II diabetes, breast and colon cancer (6, 7). The health consequences of common diseases and
the scientific evidence of the effects of mortality rates on risk factors that can occur in the context of
insufficient physical activity and sedentary lifestyle are clear and striking (8). Studies conducted to date
show that there are different genetic components that affect responses related to activity level in sedentary
people (sedentary) and active people (9, 10). Significant individual differences were found among
individuals in their responses to regular physical activity, even when exposed to similar exercise intensities
tailored to their tolerance levels (11).
The most striking example of the effect of heredity, lifestyle and environmental factors is that the
answers given to the daily physical activity level and the amount of energy used (total calories) reveal
individual differences. Studies conducted on families confirm that genetics constitute some of the individual
RELATIONSHIP BETWEEN GENES, PHYSICAL ACTIVITY
www.pesh.mk
58
differences seen from person to person in response to exercise practices. Studies on the genetic background
of physical performance and health-related fitness show that individuals with different inheritance patterns
respond differently to acute and chronic exercise. With the aforementioned explanations, it has been proven
that exercise responses in individuals have a strong relationship with genetic composition. Furthermore, the
results of these studies may provide an even stronger basis for physical activity practices that can be applied
in the prevention and treatment of chronic diseases.
Physical Activity and Obesity Relationship
Although active life is inversely related to obesity, various studies have shown that the beneficial effects
of physical activity in terms of reducing risks for chronic diseases act in an independent line of its effects
on body weight and obesity. Some studies have shown that sedentary individuals who are not physically
active at normal weight have a higher risk of cardiovascular disease than overweight physically active
individuals (12, 13).
Moreover, there are evidences that the long-term and reduced incidence of cardiovascular mortality
associated with regular physical activity is not due to genetic selection (14).
Although an approach using more than one gene that has been examined related to the physical activity
predisposition is just coming into play, the systematic scanning of genes and in what direction they are
regulated, even in a basic exercise response such as muscle repair physiology, has not yet been investigated
(15). Nowadays, gene tests that are stated to be related to performance and chronic diseases are performed
in many countries. Aforementioned gene tests examine only marker gene on candidate genes. However, it
does not explain its relationship with other genes and what other genes can be efficient in aforesaid
development or its limited development. Many studies have been conducted in recent years, suggesting that
being active or passive can also be caused by genetic factors with a comprehensive literature base that
considers the effects of environmental factors and lifestyle on physical activity levels. Several single gene
mutations that result in obesity were first identified using animal models. (16, 17). In this context, scientists
are trying to reveal the effects of the fatty acid binding protein (fatty acid binding protein, FABP)-4, which
controls the intracellular fatty rate and triggers the shift of metabolism from balance to imbalance as a result
of over nutrition, and (nuclear respiratory factor, NRF)-1 gene, which ensures the preservation of
intracellular harmony, in their research on laboratory mice (17).
Starting from the first moment of life, our genetic codes have determined how the body (athletic, weak
and fat) will take shape, physical limits, anatomical structure and physiological characteristics (distribution
rates of muscle fiber types, oxygen use capacity, etc.) (18). The body lines, which have changed as a result
of the effects of life style and environmental conditions, sometimes follow parallel with genes and
sometimes go beyond the natural line. Gene-triggered behaviors affect the shape of the body, the level of
calories consumed during activities and the type of nutrition. As a result of millions of years of genetic
adaptation, our body has been coded to make fat and stocking, and on the other hand, it has not adapted to
sugar storage, and the reduction of blood sugar to critical levels brings health risks (19). It is essential to
restore the energy spent during the day in order to maintain life functions. However, if the energy taken
from foods is above the daily requirement, this excess amount is stored as fat in the body. Energy need is
directly proportional to physical activity level and body size. As the age progresses, the amount of energy
needed decreases due to the decrease in the activity level, if the same eating habits are maintained, gradual
increase in the percentage of body fat will be inevitable over time. Scientific studies to date have not yet
been able to correct the disorder that initially raises blood sugar. Genetic interactions can appear as a
response for balancing blood sugar. Some genetic structures can arise with many genes and many factors.
Genetic infrastructure is susceptible to risk and this can be observed at a high rate in some people. The
mutual relationship between defense systems and energy also reveals the importance of the interaction
between metabolism and the immune system. This relationship is very risky as defense systems (especially
leukocytes) consume a lot of energy. When the defense systems are constantly active (chronic
inflammation), the energy weakens the immune system concentrating on just one side. In this case, defense
systems are very ineffective against a possible threat as well.
Energy management and metabolism are indispensable for life. After cellular development is completed,
the cell must be protected, thus the immune system or defense systems are essential. One of the biggest
stresses for humans is the use of energy obtained from food in order to ensure the continuity of life-
sustaining processes. The grinding of many substances, the disposal of wastes from the system, the delivery
of useful substances to the correct address, the destruction of damaged tissues in the reconstruction process,
M. Cerit, et al.
www.pesh.mk
59
the use of clean energy by mitochondria are very important in terms of the harmony of the cell and the
stability of the organism. When the primitive periods of Neondertal, Erectus and Homo Sapiens are
compared with the present period, the sources of stress are also similar. Stresses are the elements that
operate the metabolism integrated with a number of signals. However, in primitive times stress is short
term, it is doubtful when the next food will be taken. Therefore, the mechanism of holding energy in the
system has become stronger. This is the main source of today's problems (20). Sedentary lifestyle and
overnutrition are the most common factors causing to the occurrence of metabolic diseases. Individuals
with high levels of physical activity are less likely to suffer from metabolic diseases than those who live
inactive. Obesity and the accompanying diseases are gaining momentum, and it is obvious that different
methods and practices (different diet types, etc.) that have been introduced until today do not provide any
benefit in solving the problems. Moreover, individuals with chronic diseases (obesity, diabetes, respiratory
tract diseases, cardiovascular diseases) have been the most affected ones during the COVID 19 pandemic
process. Our genes are coded to act. What matters is not the genes you have, but how you trigger your
genes. Millions of years of genetic changes have coded human beings to act. In the last century, when
inactivity was reduced to a minimum level, obesity and its accompanying metabolic diseases are the
reflections of the dramatic life style changes that are seen in almost every geography.
Genes Affecting Body Shape and Diet
There are about 41 genes that affect body shape and diet. For example; Individuals with a certain
variation of the FTO (fat mass and obesity-associated) gene have 20-30% more binge eating behavior and
obesity than others. The FTO gene associated with fat mass and obesity is the obesity gene and controls
appetite. The effect of the obesity gene is seen in at least one out of 10 (ten) people. This gene causes the
consumption of high-fat foods, a decrease in the feeling of satiety, and more hunger between meals. On the
other hand; Mitochondrial separation or solvent protein UCP2 and UCP3 (calorie-burning genes), which
are encoded by the separative protein (uncoupling Protein, UCP) -2 and UCP3 genes, which explain that
different results are obtained with similar diet programs among humans, also trigger the use of fat stores
accumulated in our body as an energy source. UCP2 and UCP3 are two genes that largely determine the
differences in metabolism between individuals. These genes regulate the working rate of metabolism and
body temperature. The aforementioned proteins enable the energy in foods to be revealed as heat, stopping
the production of adenosine triphosphate (ATP) molecules. UCP2 protein is found only in brown adipose
tissues. Brown oils reveal heat by burning energy with the solvent protein method. These proteins are
considered to use up 20% to 30% of the energy of metabolism without any external effect. The different
effects of solvent proteins on metabolism reveal why some people get fat even with diet, while others can
remain weak even with a sedentary life. Studies have shown that individuals with more UCP2 protein in
their bodies are weaker than those with other proteins. The energy genes HIF1A and PPARGC1A are
associated with oxygen and glucose transport and energy metabolism. HFE, HIF1A, HNF4A, IGF1, IL-1B,
MSTN GDF8 and NAT2 are genes that include the organism's reactions to its stimuli, the ability to maintain
homeostasis at glucose, insulin, inflammation and iron storage levels, and muscle growth. Moreover,
CREB1, KIF5B, NOS3, NPY genes are associated with the working performance of the heart, heart rate
responses to exercise, and mitochondrial development phases, as well as relaxation of smooth muscles,
cardiovascular functions, and blood lipid concentrations. ADRB1, APOE, NRF1 are genes associated with
oxygen uptake, metabolic regulation of lipoproteins, mitochondrial genesis and oxidative phosphorylation.
However, AMPD1, APOA1, PPARA, PPARD genes (metabolism genes) are associated with lipid
metabolism, muscle glycolysis, fatty acid oxidation and glucose homeostasis, CKMM / CKM, IL6 genes
are associated with recovery, management of energy resources, transport, response to inflammation and
muscle damage repair, the DNAPTP6, PAPSS2, and C18orf2 genes are also associated with the expression
and maximum exercise capacity of muscles and brain proteins that determine genetic predisposition to
exercise. On the other hand, the fact that fatty acid-binding protein (FABP)-4 and cholesterol gene nuclear
respiratory factor (NRF) -1 located in the endoplasmic reticulum secreted from fat tissues, which are factors
in the prevalence of metabolic and cardiovascular diseases, are trying to keep the metabolism in balance
(homeostasis) by working in the opposite direction of each other has also emerged as a result of research
conducted in the last few years.
Another important gene that uses our body's energy by preferring carbohydrates and fats is peroxisome
proliferator-activated receptor alpha (peroxisome proliferator-activated receptor alpha, PPAR). PPAR
gene, which increases especially the activation of fatty acids, has played a role in triggering the use of fatty
RELATIONSHIP BETWEEN GENES, PHYSICAL ACTIVITY
www.pesh.mk
60
acids in the heart and skeletal muscles. However, it seems quite difficult to reach a conclusion according to
one variable, considering that human health and longevity depend on multiple factors. Because there are
advantages such as the rate of brown adipose tissues to be higher in active sports people and the release of
FABP4 protein is under control. The fact that the effects of separated proteins such as UCP2 and the FTO
gene (calorie burning) are independent of exercise should not be overlooked.
FABP4 Gene and Obesity Relationship
In recent studies, it has been observed that adipose tissue has become a central focal point in order to
mediating intracellular signaling and communication through the release of various bioactive lipids and
substrates as well as various adipokines. Critical integration or communication between these mediators
and responses is controlled by FABP4, which is highly secreted in adipose tissue. Recently, FABP4 has
been stated to be a hormone that has roles to preserve glucose homeostasis and facilitates integration and
communication in order to respond to life-threatening situations between energy storage systems and distant
organs. However, FABP4 is known to aggravate a number of immuno-metabolic diseases, including
chronic involvement under immuno-metabolic stress conditions such as obesity, diabetes, asthma, cancer,
and atherosclerosis. Circulating FABP4 levels have been associated with the incidence of metabolic disease
in both laboratory mouse models and humans. Besides, it has been observed that lowering FABP4 levels
or activation is also associated with recovering metabolic health (21).
Up to today, the thought that there were some signals that trigger sugar production from the liver when
blood sugar reduces has been a dominant phenomenon. Actually, it was thought that energy-related signals
are received from adipose tissue. However, the fact that there is also a central hormone that comes from the
adipose tissue and controls sugar production in the liver has been ignored for years. The aforesaid hormone
wondered for many years is FABP4. FABP4 hormone is secreted while incorporating the fat stored in
adipose tissue into the system. In cases which tissue destruction is uncontrolled, for instance; in cases which
insulin resistance is high (such as in diabetes patients), there is a possibility of the increase of the
aforementioned hormone. That is, as the release of this hormone increases, it passes into the circulating
blood by both fat and endothelial cells. This provides the coordination between the normal energy balance,
that is, news coming from adipose tissue and news between liver and pancreas. Excessive and unhealthy
nutrition, especially night snacks and sedentary life increase the secretion of the aforesaid hormone
progressively as it triggers fattening the cell. As the FABP4 hormone gradually moves away from the
normal adaptation phase, its amount in the circulation increases and after exceeding a certain point, it
progresses from balance to imbalance, dysfunction and metabolic disease and then to the chronic case. This
is one of the most important reasons that destroy the metabolism, the aforesaid change causes the increase
in fat cells or the disruption of the relationship of the signals produced by the fat cell with other metabolic
organs (liver, pancreas and brain). Similar situation coordinates with the event that the leptin hormone is
out of coordination with the pancreas, which gives a feeling of satiety when snacking frequently (insulin
hormone secretion causes to an increase in fat stores by increasing). There is a mutation that affects the
expression of this gene, despite of being in a small number. Those carrying the aforementioned mutation
secrete less FABP4 molecule and are healthier than others. In a study conducted by Zhao et al. (2017) (22),
they observe that the gene that triggers both diabetes and heart diseases at the same time and that poses the
most risk is FABP4 in their study on approximately 500 thousand people from Northern Europe, America
and Central Asia. This situation indicates that there will be no problem in reducing the effect of the aforesaid
gene, and people with mutations can live for lifelong. If the effects of the FABP4 gene on the cellular basis
can be reduced in the future, it may be possible to prevent metabolic diseases and to lift the veil of long life
(23, 24).
In laboratory mice, inhibition of FABP4 activity through small molecules in FABP4 / aP2 deficiency
has genetically been observed that it effectively reduces the development of various immuno-metabolic
phenotypes. In humans, FABP4 has been identified as a common candidate gene for the development of
both diabetes II and coronary heart disease (25). On the other hand, evidence obtained from low expression
variant carriers suggests that reduced FABP4 gene activity is associated with improved lipid parameters
and a reduction in human cardio metabolic endpoints. Recovered metabolic phenotype has been seen in
mice as a result of genetic modifications made by genetic deficiency of FABP4 / aP2 or by providing
genetically reduced expression. As a result of this change, the obesity risks of mice decreased and this result
revealed the importance of the FABP4 / aP2 axis in immune metabolism. When the FABP4 gene is removed
from laboratory mice, it has been observed that the mice are resistant to metabolic diseases throughout their
M. Cerit, et al.
www.pesh.mk
61
lives. All animals get fat as they age, but these animals do not get fat throughout their lives. When the
aforementioned gene is removed, inflammation does not occur in the tissue and sugar metabolism is not
corrupted. Researchers are working on methods to reduce the effects of the aforesaid gene. Who knows,
maybe the secret of a long life that is desired lies behind this gene. Inflammation is an important condition,
the cells in the immune system have to finish their work and withdraw in a short time, as they spend too
much energy. If they stay in the middle (chronic inflammation) they cause damage. Long-term
inflammations are always devastating.
Changes Caused by Changes in Structural Properties of Cells in Metabolism
Organelles within the cell have specialized functions. The nucleus (nucleus), the protected part including
DNA that stores genetic information, mitochondria, the source of energy, etc. However, the endoplasmic
reticulum, which affects the continuity of the functions of all intra-tissue organelles, can reach all cell parts
(organelles) in the cell, like the network it organizes. Hotamışlıgil et al. (2017), in their studies, reveal that
there is a cell defect, especially during obesity. Obesity causes a difference in other cells that are not fat
cells, that is, it also corrupts other cells. It was previously unknown that the endoplasmic reticulum was
related to the metabolism. The aforementioned researchers made two important observations. First; they
discovered that there is the NRF1 gene, which acts as a metabolism-specific switch, in the endoplasmic
reticulum and this is related to cholesterol metabolism. Learned helplessness can sometimes prevent
realizing the root reason behind the reasons. Functions defined years ago make it difficult for you to
discover the unknown behind the reasons. The location of this gene is in the endoplasmic reticulum. The
NRF1 gene activates defense systems from the aforementioned place. The second; They observed that the
endoplasmic reticulum covers the cell like a honeycomb and has a constantly online and variable structure
(19), the number of endoplasmic reticulum in pancreatic cells is quite high, and the liver is arranged in a
multicolored and organized manner and they noticed that the white adipose tissue is abnormally composed
of a tiny generator like a thin line, and the rest of it consists entirely of adipose tissue. On the other hand,
they observed that endoplasmic reticulum was structurally quite small besides numerous mitochondria in
brown adipose tissues. These cellular differences clearly show that the structure has a relationship with
function.
Changes in Cellular Structure and Obesity Relationship
It has been observed that mitochondria and endoplasmic reticulum distributes poisedly in the liver cells
of a normal adult, on the other hand, cellular synergy is impaired in overweight due to the fact that the liver
fattens extremely and the endoplasmic reticulum disintegrates, its structure is lost, and it encircles the
mitochondria, making its functions invert. “The inactivation of the mitochondria (disruption of function) in
obesity is mainly due to the endoplasmic reticulum disrupting the function of the mitochondria”. In a normal
cell, there is little contact between the mitochondria and the endoplasmic reticulum. As the fat people
become thin again, a gradual improvement occurs on the cellular basis. Thus, the importance of physical
activity or mobility comes in view once again. This structural imbalance is the most important cause of
chronic diseases. Physical activities are the most effective application and protection method that allows
the effects of NRF1 gene to increase by reducing the effect of the FABP4 gene. The only alternative method
that triggers the transition from imbalance to stability (stable) is to increase the activity level and make
exercise a part of life. Unhealthy nutrition, causing obesity and limiting the mobility, is the most important
cancer trigger.
It is known that complex characteristics such as muscle strength and vigor have a very strong genetic
contribution to the development of excessive weight gain (obesity) conditions and the causes of obesity are
typically attributed to genes in 30-70% of all phenotype variations. However, it is also surprising that the
relative contribution of each gene is quite small, the ten strongest locus variations only forms 1% of obesity
constitution effects. The importance of exercise on metabolism appears once again. How the NRF1
molecule is triggered is unknown. However, it has been observed that excessive lipoidosis occurs in the
liver when NRF1 is not available. When the NRF1 gene is inserted into an excessively fatty liver with gene
therapy, it has been observed that it completely returns to normal within 1 (one) week. Tumor cells that
cause chronic diseases and especially cancer exist only in adipose tissue and also take energy from FABP4.
If FABP4's activity in the tissue can be prevented, it is thought that metabolic and subsequent chronic
diseases can also be prevented (17, 22, 26).
RELATIONSHIP BETWEEN GENES, PHYSICAL ACTIVITY
www.pesh.mk
62
Our ancestors would spend time in their shelters when there was no daylight, as they could not hunt and
find food, and when danger could be too close to be noticed. As a result of millions of years of change in
the organism caused by the long nocturnal hunger that humans lived in primitive times, our genes have
determined fats as a backup energy source. While our body has adapted to its environment in order to
survive, our genes have been encoded for fat production. During hunger and sleep, the cellular cleansing
process also runs the cellular recycling and spare parts system. Apart from the mass suicide of the whole
damaged cell during night hunger, a system in which old cells are used as spare parts for healthy cells is
also active. The biggest benefit of starvation is to make spare parts from old cells. This condition is a
survival mechanism. Autophagy provides the energy required for vital functions in the case of starvation
by converting damaged cells to fuel. Furthermore, it controls the rate of aging by helping regenerate aging
cells for more beneficial tasks. Impaired autophagy has a voice in all diseases and cancer that come with
aging itself, starting with common diseases such as Type II diabetes. One of the main reasons why the
effects of the FABP4 gene on cells are the result of overnutrition is the increase in damaged cells, the
inability to be included in the system as fuel, and the restriction of cellular respiration (suffocation) of
mitochondria caused by excessive fattening, resulting in an inclining from balance to imbalance. In contrast
to the FABP4 gene, the NRF1 cholesterol gene plays a critical role in protection of cell cohesion and
excessive fattening of cells by activating the defense systems. Exercise or active life accelerates the
movement from imbalance to balance by triggering the aforesaid gene.
Factors Affecting Physical Activity Level and Genetic Interactions
Studies show that children with physically active parents are 5.8 times more likely to be physically
active than children with inactive parents. It is obvious that genetic factors contribute to the level of physical
activity. However, it is difficult to differentiate the contribution of variables such as parental influence, role
modeling, and other environmental factors from genetic factors. However, twin and family studies on the
subject clearly show that the tendency to participate in physical activity is influenced by genes (27).
In another study referring to the aforementioned relationship, researchers using a family-based design
stated that genetic factors constitute a significant part of the variability in participation in habitual physical
activity and exercise (heritability degree 29% and 12%), and by examining physical activity adaptation in
1610 individuals from 375 families in a 3-day activity diary. Moreover, they stated that persistent
environmental factors in this population strongly contributed to these two indicators of physical activity
(9). Genetic codes determine how the body will take shape, physical performance limits, anatomical
structure and physiological characteristics from the first moment of life (29). Behaviors that genes trigger
affect fitness level, exercise adaptation, calories consumed during activities and diet type (30). Studies in
adult twins (31, 32, 33, 34, 35) state that variability in exercise behavior is explained by genetic and non-
common environmental factors, and that the variability of inheritance predictions in exercise is between
35% and 83%. In a study of young adolescent twins (36), it has been observed that exercise continuity up
to the age of 16 has largely been determined by common environmental factors. When adolescents become
young adults and genetic factors begin to emerge, the effects of these factors rapidly diminish. The
inheritance predictions made within the framework of exercise behavior after puberty are approximately
80% (36).
The Conclusion
The human body was designed on the basis of efficiency, therefore, it tries to reveal maximum
performance with minimum energy. As the efficiency level of the body moves towards negative, that is,
when more calories are consumed than spent and the level of physical activity is inadequate, undesired
changes occur in metabolism. Metabolic diseases coming in sight in this framework arise from the loss of
the structure or functions of the mitochondria in obesity and due to the fact that the endoplasmic reticulum
impairs the functions of the mitochondria. When we are talking about healthy and fit life, what we are
actually talking about is healthy and highly productive mitochondria. Regular exercises reduce the risk of
getting metabolic and chronic diseases such as cancer, blood pressure and diabetes triggered by genetics
and lifestyle by affecting the condition of genetic codes in the body.
The effects of genetic inheritance or heredity on metabolic diseases are beyond doubt. There are about
three billion nucleotides (base pairs) in the human genome, and the number of nucleotide combinations that
can affect the activity of genes is essentially infinite. However, as of today, there may be even more genes
in about 25-30 thousand genes apart from candidate genes identified for metabolic diseases. Virtually, as a
M. Cerit, et al.
www.pesh.mk
63
result of revealing the candidate genes and other genes related to these genes, the positive or negative
repercussions these genes may reveal in metabolism will clarify the doubts that are in mind in the future.
In the future, it is highly likely that a consensus can be reached on the mutual interactions of metabolic
states such as energy sources, immune system, hormonal and enzymatic activities that may occur as a result
of genes and their coordination with each other. However, based on the data obtained so far, it is understood
that the general expression of the positive or negative effects on metabolism of genes involved in the
development of athletic performance and metabolic diseases is not clear.
References
Pan, L., Ober, C., Abney, M., (2007). Heritability estimation of sex-specific effects on human quantitative traits. Genetic
Epidemiology 31, 338–347.
Treuth, M. S., ve ark., (2001). Familial resemblance of body composition in prepubertal girls and their biological parents. American
Journal of Clinical Nutrition 74, 529–533.
Healy, G.N., ve ark., (2008). Objectively measured sedentary time, physical activity, and metabolic risk: The Australian Diabetes,
Obesity and Lifestyle Study (AusDiab). Diabetes Care 31, 369–371.
Richardson, C. R., (2004). Physical activity and mortality across cardiovascular disease risk groups. Medicine and Science in Sports
Exercise 36, 1923–1929.
Jeon, C. Y., ve ark., (2007). Physical activity of moderate intensity and risk of type 2 diabetes: A systematic review. Diabetes Care
30, 744–752.
Irwin, M. L., ve ark. (2008). Influence of pre- and postdiagnosis physical activity on mortality in breast cancer survivors: The
health, eating, activity, and lifestyle study. Journal of Clinical Oncology 26, 3958–3964.
Crespo, C. J., ve ark. (2002). The relationship of physical activity and body weight with all-cause mortality: Results from the Puerto
Rico Hearth Health Program. Annals of Epidemiology, 12(8):543-52.
Bouchard, C., ve ark. (1999). Familial aggregation of VO2 max response to exercise training: Results from the HERITAGE Family
Study. Journal of Applied Physiology 87, 1003–1008.
Bouchard, C., Malina, R. M., Perusse, L., (1997). Genetics of Fitness and Physical Performance. Human Kinetics, Champaign, IL.
Cerit, M., (2019). The Effects of the Angiotensin-Converting Enzyme (ACE) Genotype on 3000 m Running (VO2 max)
Performance & Body Composition in Turkish Army Soldiers: Longitudinal Study. International Journal of Applied Exercise
Physiology. Vol.8, (2.1). Doi: 10.30472/ijaep. v8i2.1.566 .
Bouchard, C. ve Rankinen, T. (2001). Individual differences in response to regular physical activity. Medicine and Science in
Sports and Exercise 33, S446–451.
Sui, X., ve ark. (2007). Cardiorespiratory fitness and adiposity as mortality predictors in older adults. Journal of the American
Medical Association 298, 2507–2516.
Carlsson, S., ve ark., (2007). Physical activity and mortality: Is the association explained by genetic selection? American Journal
of Epidemiology 166, 255–259.
Haskell, W. L., ve ark. (2007). Physical activity and public health: Updated recommendation for adults from the American College
of Sports Medicine and the American Heart Association. Medicine and Science in Sports Exercise 39, 1423–1434.
Landi, F., ve ark., (2008). Walking one hour or more per day prevented mortality among older persons: Results from ilsirente study.
Preventive Medicine 47, 422–426.
Chua, S. C., ve ark., (1996). Phenotypes of mouse diabetes and rat fatty due to mutations in the OB (leptin) receptor. Science 271,
994–996.
Prentice, K., Saksi, J., Hotamışlıgil, G. S., (2019). Adipokine FABP4 integrates energy stores and counterregulatory metabolic
responses. Journal of Lipid Research, 60(4):734-740 DOI:10.1194/jlr. S091793PMID: 30705117PMCID: PMC6446704.
Cerit, M., (2016)., Erkek ve Fit Yaşantı.
Hoktamışlıgil, G. S., (2020). “Haber Türk Haber Kanalı”, Altaylı, F., Teke Tek Haber Programı.
Williams, A. G., Henning, H., Miah, A., Montgomery, H., (2009) Genetic research and testing in sport and exercise science: A
review of the issues Article in Journal of Sports Sciences · September 2009 DOI: 10.1080/02640410903114364.
Yang, N., ve ark., (2003). ACTN3 genotype is associated with human elite athletic performance. Am J Hum Genet. 73:627–31.
Zhao, W., ve ark., (2017). Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary
heart disease. Nat. Genet. 49: 1450–1457.
Quin, E., (2016). “How Genetics Influence Athletic Ability” Sports Medicine.
Entire., J., (2015). “Sports Genes:What Makes Great Athletes and Why It Matters”.
M., Lisa., V, Guth., M, Stephen., (2013). “Genetic Influence on Athletic Performance”., curr opin pediatr. 25 (6) 653-658.
Tuncman, G., E., ve ark., (2006). A genetic variant at the fatty acid-binding protein aP2 locus reduces the risk for
hypertriglyceridemia, type 2 diabetes, and cardiovascular disease. Proc. Natl. Acad. Sci. USA. 103: 6970–6975.
Trost, S. G., Owen, N., Bauman, A. E., Sallis, J. F., Brown, W., (2002). Correlates of adults’ participation in physical activity:
Review and update. Medicine & Science in Sports & Exercise 34,1996–2001
Cerit, M., (2020)., The Secrets to Better Athletic Performance. Journal of Scientific and Technical Research.ISSN:2574-1241.
DOI: 10.26717/BJSTR.2020.25.004132
Hansen, N., (2016). “6 Genes That Influence Your Training And Nutrition”.
Beunen, G., Thomis, M., (1999). Genetic determinants of sports participation and daily physical activity. International Journal of
Obesity 23, S55–S63.
Carlsson, S., ve ark., (2006). Genetic effects on physical activity: Results from the Swedish Twin Registry. Medicine & Science in
Sports & Exercise 38, 1396–1401.
RELATIONSHIP BETWEEN GENES, PHYSICAL ACTIVITY
www.pesh.mk
64
Eriksson, M., Rasmussen, F., Tynelius, P., (2006). Genetic factors in physical activity and the equal environment assumption—the
Swedish young male twins study. Behavior Genetics 36, 238–247.
Frederiksen, H., Christensen, K., (2003). The influence of genetic factors on physical functioning and exercise in second half of
life. Scandinavian Journal of Medicine & Science in Sports 13, 9–18.
Kujala, U. M., Kaprio, J., Koskenvuo, M., (2002). Modifiable risk factors as predictors of all-cause mortality: The roles of genetics
and childhood environment. American Journal of Epidemiology 156, 985–993.
Lauderdale, D. S., (1997). Familial determinants of moderate and intense physical activity: A twin study. Medicine and Science in
Sports and Exercise 29, 1062–1068.
Stubbe, J.H., Boomsma, D.I., Vink, J.M., et al. (2006a). Genetic influences on exercise participation: A comparative study in adult
twin samples from seven countries. PLoS ONE 1, e22.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Citation: Mesut Cerit. The Secrets to Better Athletic Performance. Biomed J Sci & Tech Res 25(1)-2020. BJSTR. MS.ID.004132. ARTICLE INFO Abstract Short Communication Genetic contributions to athletic performance are remarkably complex with unique gene-environment interactions specific to each athlete, including effects on physiological, motor and psychological characteristics. Athletic ability is an exceptional performance that is partly innate, relatively site-specific, found only in a limited minority of individuals and can be described in part at an early stage of development. More importantly, significant aspect of athletic ability is the idea that early signs of abilities provide a basis for predicting future success. The contribution of genetics in the development of athletic performance is an undeniable fact. The characteristics encoded in DNA sequences or strands that cause differences between individuals also determine the limits of athletic performance. Genetic advantages allow elite athletes to perform at a high level of physical performance. In addition to environmental factors, lifestyle and motivation for the development of athletic performance at the highest level, the correct sequence of genetic variables makes it easier to achieve peak performance [1-3]. Many champions have the same gene type at the Olympic level, indicating the significance of choosing the right genotype for success at elite level [4]. It may be possible to define the performance pool of individuals through genes such as angiotension converting enzyme (ACE) and alfa-actinin-3 (ACTN3), which have great effects on training and physical performance development. One of the details needs to be contemplated in workout planning is that training loads be determined by taking into consideration the dominant energy systems which are suitable for the athletes genetic structure and the type of the sport's discipline. Genomic determinants of the responses or effects of various phenotypes to regular exercise will enable strengthening training application protocols where skilled athletes can perform high [3]. Genetic codes have determined how the body will take shape, physical performance limits, anatomical structure and physiological characteristics from the moment the womb starts (early stages of embryo formation).Gene-induced behaviors affect fitness level, exercise adaptation, calorie consumed during activities, and type of diet. Genetic differences can reach some of their goals in a very short period of time, while others can achieve high performance over a long period of time. The quality of the training workouts and the increasing number of the exercise make it easier to achieve the goal. Genetic differences are the basis for the success of some 3000 hours of training and some 10,000 hours of training for the improvement of athletic performance [5]. Genes are the source of functional behaviors that are shaped as a result of the alteration of organism transferred from generation to generation under the influence of lifestyle and environmental factors. These small changes, which are transferred from generation to generation, constitute differences between individuals [6,7]. Differences between humans are not limited to skin color and body shape; the living environment and climate are also very effective in the formation of these differences. These differences in human phenotypes result from the interaction of genetic variation with environmental stimuli. Elite athletes are examples of the interactions of genomic and epigenomic properties, training practices, and changes in nutrition, lifestyle and environmental factors. Muscle remodeling and adaptation based on genetic adaptation and usage patterns is the best example of the ability to react to and adapt to the environment. Researchers are trying to understand the adaptation of the muscles to the stimuli and how the muscles work under different conditions and how skeletal muscle structures and properties change through evolution [8]. The genetic inheritance that triggers athletic success, environmental factors and the character of exercise loads applied in the personal lifestyle, neuromotor development, and cultural differences can reveal individual variations or differences. Considering all these
Article
Full-text available
D.S. has received support from NHLBI, NINDS, Pfizer, Regeneron Pharmaceuticals, Genentech, and Eli Lilly. Genotyping in PROMIS was funded by the Wellcome Trust, UK, and Pfizer. Biomarker assays in PROMIS have been funded through grants awarded by the NIH (RC2HL101834 and RC1TW008485) and Fogarty International (RC1TW008485). The RACE study has been funded by NINDS (R21NS064908), Fogarty International (R21NS064908), and the Center for Non-Communicable Diseases (Karachi, Pakistan). B.F.V. was supported by funding from the American Heart Association (13SDG14330006), the W.W. Smith Charitable Trust (H1201), and the NIH/NIDDK (R01DK101478). J.D. is a British Heart Foundation Professor, European Research Council Senior Investigator, and NIHR Senior Investigator. V.S. was supported by the Finnish Foundation for Cardiovascular Research. S. Ripatti was supported by the Academy of Finland (251217 and 255847), the Center of Excellence in Complex Disease Genetics, the European Union’s Seventh Framework Programme projects ENGAGE (201413) and BioSHaRE (261433), the Finnish Foundation for Cardiovascular Research, Biocentrum Helsinki, and the Sigrid Juselius Foundation. The Mount Sinai IPM Biobank Program is supported by the Andrea and Charles Bronfman Philanthropies. S. Anand is supported by grants from the Canada Research Chair in Ethnic Diversity and CVD and from the Heart and Stroke Michael G. DeGroote Chair in Population Health, McMaster University. Data contributed by Biobank Japan were partly supported by a grant from the Leading Project of the Ministry of Education, Culture, Sports, Science and Technology, Japan. We thank the participants and staff of the Copenhagen Ischemic Heart Disease Study and the Copenhagen General Population Study for their important contributions. The CHD Exome+ Consortium was funded by the UK Medical Research Council (G0800270), the British Heart Foundation (SP/09/002), the UK NIHR Cambridge Biomedical Research Centre, the European Research Council (268834), the European Commission’s Framework Programme 7 (HEALTH-F2-2012-279233), Merck, and Pfizer. PROSPER has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement HEALTH-F2-2009-223004.
Article
Full-text available
This metadata relates to an electronic version of an article published in Journal of sports sciences, 2009, vol. 27, no. 11, pp. 1109-1116. Journal of sports sciences is available online at informaworldTM at http://www.informaworld.com/smpp/content~db=all~content=a914386160 This review is based on the BASES position stand on "Genetic Research and Testing in Sport and Exercise Science". Our aims are first to introduce the reader to research in sport and exercise genetics and then to highlight ethical problems arising from such research and its applications. Sport and exercise genetics research in the form of transgenic animal and human association studies has contributed significantly to our understanding of exercise physiology and there is potential for major new discoveries. Researchers starting out in this field will have to ensure an appropriate study design to avoid, for example, statistically underpowered studies. Ethical concerns arise more from the applications of genetic research than from the research itself, which is assessed by ethical committees. Possible applications of genetic research are genetic performance tests or genetic tests to screen, for example, for increased risk of sudden death during sport. The concerns are that genetic performance testing could be performed on embryos and could be used to select embryos for transplantation or abortion. Screening for risk of sudden death may reduce deaths during sporting events but those that receive a positive diagnosis may suffer severe psychological consequences. Equally, it will be almost impossible to keep a positive diagnosis confidential if the individual tested is an elite athlete.
Article
Full-text available
To investigate the association between pre- and postdiagnosis physical activity (as well as change in prediagnosis to postdiagnosis physical activity) and mortality among women with breast cancer. This was a prospective observational study of 933 women enrolled onto the Health, Eating, Activity, and Lifestyle Study who were diagnosed with local or regional breast cancer between 1995 and 1998 and observed until death or September 2004, whichever came first. The primary outcomes measured were total deaths and breast cancer deaths. The primary exposures were physical activity in the year before and 2 years after diagnosis and the pre- to postdiagnosis change in physical activity. Compared with inactive women, the multivariable hazard ratios (HRs) for total deaths for women expending at least 9 metabolic equivalent hours per week (approximately 2 to 3 h/wk of brisk walking) were 0.69 (95% CI, 0.45 to 1.06; P = .045) for those active in the year before diagnosis and 0.33 (95% CI, 0.15 to 0.73; P = .046) for those active 2 years after diagnosis. Compared with women who were inactive both before and after diagnosis, women who increased physical activity after diagnosis had a 45% lower risk of death (HR = 0.55; 95% CI, 0.22 to 1.38), and women who decreased physical activity after diagnosis had a four-fold greater risk of death (HR = 3.95; 95% CI, 1.45 to 10.50). Moderate-intensity physical activity after a diagnosis of breast cancer may improve prognosis.
Article
Full-text available
The purpose is to review the existing literature on genetic determinants of sports participation, daily physical activity (PA) resting metabolic rate (RMR) and activity as a temperamental trait. A synthesis will be given of the published material on this topic with special focus on twin and family data, and association and linkage studies. Self reported sports participation, daily PA, RMR and activity as a temperamental trait. Transmission and heritability coefficients calculated from twin and family data will be reported. The reported heritability coefficients for sports participation vary between 0.35-0.83, and those for daily PA between 0.29-0.62. If one of the parents or co-twins is active in sports, it is more likely that the child or co-twin is also active in sports (odds ratios (ORs) vary from 1.2-5.8). Twin and parent-child correlations for RMR also indicate a moderate genetic effect. At present, only a linkage between RMR and uncoupling protein 2 markers has been demonstrated. The genetic determination of sports participation, daily PA and RMR, varies from low to moderately high, and only between the uncoupling protein 2 genetic marker and RMR has a linkage has been demonstrated.
Article
To summarize the existing literature on the genetics of athletic performance, with particular consideration for the relevance to young athletes. Two gene variants, ACE I/D and ACTN3 R577X, have been consistently associated with endurance (ACE I/I) and power-related (ACTN3 R/R) performance, though neither can be considered predictive. The role of genetic variation in injury risk and outcomes is more sparsely studied, but genetic testing for injury susceptibility could be beneficial in protecting young athletes from serious injury. Little information on the association of genetic variation with athletic performance in young athletes is available; however, genetic testing is becoming more popular as a means of talent identification. Despite this increase in the use of such testing, evidence is lacking for the usefulness of genetic testing over traditional talent selection techniques in predicting athletic ability, and careful consideration should be given to the ethical issues surrounding such testing in children. A favorable genetic profile, when combined with an optimal training environment, is important for elite athletic performance; however, few genes are consistently associated with elite athletic performance, and none are linked strongly enough to warrant their use in predicting athletic success.
Article
Mice harboring mutations in the obese (ob) and diabetes (db) genes display similar phenotypes, and it has been proposed that these genes encode the ligand and receptor, respectively, for a physiologic pathway that regulates body weight. The cloning of ob, and the demonstration that it encodes a secreted protein (leptin) that binds specifically to a receptor (OB-R) in the brain, have validated critical aspects of this hypothesis. Here it is shown by genetic mapping and genomic analysis that mouse db, rat fatty (a homolog of db), and the gene encoding the OB-R are the same gene.
Article
An abstract is unavailable. This article is available as HTML full text and PDF.
Article
Cited By (since 1996): 6, Export Date: 23 March 2012, Source: Scopus, CODEN: PVTMA, doi: 10.1016/j.ypmed.2008.06.020, PubMed ID: 18672001, Language of Original Document: English, Correspondence Address: Landi, F.; Department of Gerontology, Geriatrics and Physiatry, Catholic University of Sacred Heart, Roma, Italy; email: francesco_landi@rm.unicatt.it, Chemicals/CAS: C reactive protein, 9007-41-4; cholesterol, 57-88-5, References: Abell, J.E., Hootman, J.M., Zack, M.M., Moriarty, D., Helmick, C.G., Physical activity and health related quality of life among people with arthritis (2005) J. Epidemiol. Community Health, 59, pp. 380-385;
Article
This twin study estimates familial clustering of moderate and intense leisure-time physical activity and investigates quantitatively its genetic and environmental components. Study subjects are 3,344 male twin pairs aged 33-51 yr. Moderate activity levels were assessed with six questions about discretionary walking or stair climbing for exercise. Five questions assessed regular participation in specific, intense athletic activities (running, bicycling, swimming, racquet, and other sports). Familial aggregation is estimated by odds ratio of one twin engaging in an activity when his co-twin does. Monozygotic and dizygotic twin correlations were compared to estimate genetic and nongenetic sources of phenotypic variation. For each activity, the familial aggregation odds ratio was statistically significant with values between 2.9 to 4.6 for intense activities and between 1.4 to 1.9 for all moderate activities but one. Monozygotic twin correlations were higher than dizygotic, suggesting genes play a role in the observed phenotypic variation. For four questions, and a compromise scale of moderate activity, the difference between correlations was statistically significant (P < 0.05). In this cohort, much of the phenotypic variability for both moderate and intense activities is a result of familial effects. Genes may influence regular participation in specific intense exercises more than moderate activity, such as walking for exercise.