Abstract
The cardiovascular disease is the main cause of worldwide death. This profile is potentialized by the increased severity of infections in people with obesity, type 2 diabetes and hypertension. Children and adolescents are target groups for the prevention of non-communicable diseases. The Developmental Origins of Health and Disease concept points that perinatal conditions are an important risk factor to development of non-communicable disease in adulthood. In this context, the present review identifies perinatal factor that induces precocious cardiovascular risk factors, related with cardiometabolic syndrome. The low or high birth weight and caesarean delivery are risk factors that induce increased occurrence of cardiovascular risk biomarkers in children and adolescents, while the breast feeding or feeding with breast milk from the birth until two years-old is a protector strategy. Evaluation of perinatal conditions associated with precocious identification of cardiovascular risk factors in children and adolescents is an efficient strategy to prevent and control cardiovascular mortality; through interventions, as lifestyle changes during vulnerable windows of development, able to set up the risk to cardiometabolic disease.
Key words
infancy; adolescence; cardiovascular risk; perinatal life
INTRODUCTION
The cardiovascular diseases are the main cause of worldwide death (WHO 2018bWHO - WORLD HEALTH ORGANIZATION. 2018b. Cardiovascular diseases (CVDs). Fact sheet Retrieved September 2018, from https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).
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). More than 85% of premature death (people between 30 and 69 years-old) due to non-communicable diseases happen in underdeveloped and developing countries (WHO 2018dWHO - WORLD HEALTH ORGANIZATION. 2018d. Noncommunicable diseases. Fact sheet. Retrieved June 2018, from http://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases.
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). This profile may be potentialized by the increased severity of infections in people with cardiometabolic diseases, as observed in the actual pandemic of COVID-19 and other infection disease common in Latin America, as Dengue or Chagas diseases (Lucchetti et al. 2019LUCCHETTI BFC ET AL. 2019. Metabolic syndrome agravates cardiovascular, oxidative and inflammatory dysfunction during the acute phase of Trypanosoma cruzi infection in mice. Sci Rep 9(1): 18885., Lee et al. 2020LEE I-K, HSIEH C-J, LEE C-T & LIU J-W. 2020. Diabetic patients suffering dengue are at risk for development of dengue shock syndrome/severe dengue: Emphasizing the impacts of co-existing comorbidity(ies) and glycemic control on dengue severity. J Microbiol Immunol Infect 53(1): 69-78., Richardson 2020RICHARDSON S. 2020. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA 323(20): 2052-2059.). Central obesity, raised triglycerides, reduced high density lipoprotein cholesterol (HDL), raised blood pressure (BP) and raised fasting plasma glucose are a cluster of interconnect physiological, biochemical, clinical and metabolic factors that define the cardiometabolic syndrome, which directly increases the risk of cardiovascular death (Federation 2015FEDERATION ID. 2015. The IDF Consensus Worldwide Definition of the Metabolic Syndrome, from http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf.
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, von Bibra et al. 2016VON BIBRA H, PAULUS W & ST JOHN SUTTON M. 2016. Cardiometabolic Syndrome and Increased Risk of Heart Failure. Curr Heart Fail Rep 13(5): 219-229.). The lifestyle characterized by excess of discretionary food and sedentarism induces a chronic inflammatory state, which has been considered a relevant physio-pathological mechanism of cardiometabolic diseases (Kaur 2014KAUR J. 2014. A Comprehensive Review on Metabolic Syndrome. Cardiol Res Pract 2014: 943162.).
The World Health Organization (WHO) indicates that the increased cardiovascular death in the low-income countries is due to the lower access to precocious prevention and treatment programs (WHO 2018bWHO - WORLD HEALTH ORGANIZATION. 2018b. Cardiovascular diseases (CVDs). Fact sheet Retrieved September 2018, from https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).
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). Children and adolescent have been considered a key social group for a sustainable future and are target for preventive intervention of non-communicable disease (Kleinert & Horton 2016KLEINERT S & HORTON R. 2016. Adolescent health and wellbeing: a key to a sustainable future. Lancet 387(10036): 2355-2356.). Adolescents, between 10 and 19 years-old, are approximately 1/6 of the worldwide population (WHO 2017WHO - WORLD HEALTH ORGANIZATION. 2017. Adolescents: health risks and solutions. Fact sheet Retrieved 08 August 2017, from http://www.who.int/mediacentre/factsheets/fs345/en/.
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), and the prevalence of overweight and obesity has been increasing in this group along last years. This transition in the health condition is a concern due to its closed correlation with physical and psychological alterations in this population (Steinbeck 2009STEINBECK K. 2009. Obesity and nutrition in adolescents. Adolesc Med State Art Rev 20(3): 900-914., Patton et al. 2016PATTON GC ET AL. 2016. Our future: a Lancet commission on adolescent health and wellbeing. Lancet 387(10036): 2423-2478.). The overweight and obesity are the first cardiovascular risk markers, more and more, observed in childhood and adolescence, predicting obesity in adulthood and its associated mortality (Patton et al. 2016PATTON GC ET AL. 2016. Our future: a Lancet commission on adolescent health and wellbeing. Lancet 387(10036): 2423-2478., WHO 2018aWHO - WORLD HEALTH ORGANIZATION. 2018a. About 25 indicators of the Global monitoring framework on NCDs. Retrieved September 2018, from http://www.who.int/nmh/ncd-tools/indicators-definition/en/.
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). The early exposure to unhealthy lifestyle and environmental insults, as pollutants and endocrine disruptors, may be contributing to this situation (Graf & Ferrari 2016GRAF C & FERRARI N. 2016. Metabolic Syndrome in Children and Adolescents. Visc Med 32(5): 357-362., Golestanzadeh et al. 2019GOLESTANZADEH M, RIAHI R & KELISHADI R. 2019. Association of exposure to phthalates with cardiometabolic risk factors in children and adolescents: a systematic review and meta-analysis. Environ Sci Pollut Res Int 26(35): 35670-35686.). Furthermore, the socio-economic transition experienced in Latin America would promote a discrepancy between the nutritional environment during early life and the adult environment causing a mismatch between the fetal programming of the subject and its adult circumstances created by the imposition of new lifestyle, which would induce a programming to the cardiometabolic syndrome in adulthood (Lopez-Jaramillo et al. 2011LOPEZ-JARAMILLO P, LAHERA V & LOPEZ-LOPEZ J. 2011. Epidemic of cardiometabolic diseases: a Latin American point of view. Ther Adv Cardiovasc Dis 5(2): 119-131.).
In the last decades, epidemiological, clinical and experimental studies have been used to design the “Developmental Origins of Health and Disease” (DOHaD) concept, which points to the importance of perinatal insults as risk factors to develop non-communicable disease in adulthood, including obesity, hypertension, type 2 diabetes and dyslipidemia (Uauy et al. 2011UAUY R, KAIN J & CORVALAN C. 2011. How can the Developmental Origins of Health and Disease (DOHaD) hypothesis contribute to improving health in developing countries? Am J Clin Nutr 94(6 Suppl): 1759S-1764S., Murphy et al. 2016MURPHY MO, COHN DM & LORIA AS. 2016. Developmental origins of cardiovascular disease: Impact of early life stress in humans and rodents. Neurosci Biobehav Rev 74(Pt. B): 453-465.). These studies have shown that the pregnancy, lactation and adolescence are critical phases of life susceptible to programming health conditions in adulthood (McMillen & Robinson 2005MCMILLEN IC & ROBINSON JS. 2005. Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiol Rev 85(2): 571-633.). The physiopathology mechanisms underlying these health disfunction implicates epigenetic related organs’ formation and function (Wadhwa et al. 2009WADHWA PD, BUSS C, ENTRINGER S & SWANSON JM. 2009. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin Reprod Med 27(5): 358-368.).
Studies contextualized by DOHaD concept made possible to identify the perinatal factors (stimuli or insults) that modulate the programed susceptibility to cardiometabolic disease later in life. Some of these “insults” are: gestational diabetes, obesity or excessive weight gain during pregnancy, preterm birth, macro and microsomia, cesarean delivery, nutritional condition during pregnancy and/or lactation, fast body weight gain in the first year of life, psycho-emotional stress, among others (Luo et al. 2010LUO ZC, XIAO L & NUYT AM. 2010. Mechanisms of developmental programming of the metabolic syndrome and related disorders. World J Diabetes 1(3): 89-98., Owen et al. 2011OWEN CG, WHINCUP PH & COOK DG. 2011. Breast-feeding and cardiovascular risk factors and outcomes in later life: evidence from epidemiological studies. Proc Nutr Soc 70(4): 478-484., Mathias et al. 2014MATHIAS PC, ELMHIRI G, DE OLIVEIRA JC, DELAYRE-ORTHEZ C, BARELLA LF, TOFOLO LP, FABRICIO GS, CHANGO A & ABDENNEBI-NAJAR L. 2014. Maternal diet, bioactive molecules, and exercising as reprogramming tools of metabolic programming. Eur J Nutr 53(3): 711-722., Alexander et al. 2015ALEXANDER BT, DASINGER JH & INTAPAD S. 2015. Fetal programming and cardiovascular pathology. Compr Physiol 5(2): 997-1025., Murphy et al. 2016MURPHY MO, COHN DM & LORIA AS. 2016. Developmental origins of cardiovascular disease: Impact of early life stress in humans and rodents. Neurosci Biobehav Rev 74(Pt. B): 453-465.).
Precocious signals of cardiometabolic programming may be observed during infancy and adolescence, even without visible or significant changes in health condition at this life period. Studies have shown that evaluation of vascular and metabolic health in children and adolescents may be altered, pointing to their important role as precocious cardiovascular risk markers. Among the vascular and metabolic studied markers we may find: systolic and diastolic blood pressure levels; intima-media thickness of carotid and aorta arteries; distensibility and elasticity of arteries; pulse wave velocity; flow mediated vasodilatation; caliber of the retinal arteries and vein; adiposity; body weight gain; HDL and total cholesterol; blood levels of apolipoprotein B; hypertriglyceridemia; IR-HOMA; insulinemia; fasting glycemia; leptinemia and adiponectinemia (Sun et al. 2013SUN C, BURGNER DP, PONSONBY AL, SAFFERY R, HUANG RC, VUILLERMIN PJ, CHEUNG M & CRAIG JM. 2013. Effects of early-life environment and epigenetics on cardiovascular disease risk in children: highlighting the role of twin studies. Pediatr Res 73(4 Pt. 2): 523-530., Perng et al. 2014aPERNG W, GILLMAN MW, FLEISCH AF, MICHALEK RD, WATKINS SM, ISGANAITIS E, PATTI ME & OKEN E. 2014a. Metabolomic profiles and childhood obesity. Obesity (Silver Spring) 22(12): 2570-2578., bPERNG W, GILLMAN MW, MANTZOROS CS & OKEN E. 2014b. A prospective study of maternal prenatal weight and offspring cardiometabolic health in midchildhood. Ann Epidemiol 24(11): 793-800.). Using these cardiovascular markers in adolescence correlated with perinatal conditions may be a useful strategy to identify individuals that need precocious intervention to control cardiometabolic syndrome development.
Little studies in the literature correlates the precocious presence of cardiovascular risk factors in people exposed to perinatal insults. This review discourse about the correlation between the classic cardiovascular risk factors identified during childhood and adolescence and some perinatal conditions that program to cardiometabolic disease later in life. We evidence that precocious identification of this correlation may improve control and prevention of cardiometabolic disease and its long-term cardiovascular risk.
Developmental Origins of Health and Disease (DOHaD)
The occurrence of non-communicable disease in adulthood may be associated with disfunctions programmed during susceptible phases of development (de Oliveira et al. 2013DE OLIVEIRA JC ET AL. 2013. Poor pubertal protein nutrition disturbs glucose-induced insulin secretion process in pancreatic islets and programs rats in adulthood to increase fat accumulation. J Endocrinol 216(2): 195-206.). This process was indicated in the Barker hypothesis, proposed in the late 1980s, which points that the exposition to insults during critical phases of development of the organism, induces permanent changes in the body structure, function and metabolism, increasing the risk to disease in adulthood (Barker 1990BARKER DJ. 1990. The fetal and infant origins of adult disease. BMJ 301(6761): 1111.). This hypothesis allowed to mint the DOHaD concept, which considers that phases with big plasticity of organs and systems are critical periods to predispose conditions of health or disease in adulthood, as the cardiometabolic, psycho-emotional, allergies and cancers (Blakemore & Choudhury 2006BLAKEMORE SJ & CHOUDHURY S. 2006. Development of the adolescent brain: implications for executive function and social cognition. J Child Psychol Psychiatry 47(3-4): 296-312., Wadhwa et al. 2009WADHWA PD, BUSS C, ENTRINGER S & SWANSON JM. 2009. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin Reprod Med 27(5): 358-368., de Oliveira et al. 2013DE OLIVEIRA JC ET AL. 2013. Poor pubertal protein nutrition disturbs glucose-induced insulin secretion process in pancreatic islets and programs rats in adulthood to increase fat accumulation. J Endocrinol 216(2): 195-206.).
The DOHaD concept has an embracing impact with a multidisciplinary implication, mainly due to the diversity of precocious insults capable to program health condition in adulthood, for example, nutrition, stress, physical activity, pollutants exposure and chemical agents, among others (Suzuki 2017SUZUKI K. 2017. The developing world of DOHaD. J Dev Orig Health Dis 9(3): 266-269.). The most studied life phases in the DOHaD context are gestation and lactation (Fall 2009FALL C. 2009. Maternal nutrition: effects on health in the next generation. Indian J Med Res 130(5): 593-599.); however, recent investigations have pointed to the gametes and adolescence as susceptible phases to programming (McPherson et al. 2014MCPHERSON NO, FULLSTON T, AITKEN RJ & LANE M. 2014. Paternal obesity, interventions, and mechanistic pathways to impaired health in offspring. Ann Nutr Metab 64(3-4): 231-238., Ibanez et al. 2017IBANEZ CA ET AL. 2017. A High Fat Diet during Adolescence in Male Rats Negatively Programs Reproductive and Metabolic Function Which Is Partially Ameliorated by Exercise. Front Physiol 8: 807., de Oliveira et al. 2018DE OLIVEIRA JC ET AL. 2018. Low-protein diet in puberty impairs testosterone output and energy metabolism in male rats. J Endocrinol 237(3): 243-254.).
Baker and collaborators used epidemiological evidences to indicate that there are a inversed correlation between the birth weight and cardiovascular or type 2 diabetes in adulthood (Barker & Osmond 1986BARKER DJ & OSMOND C. 1986. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 1(8489): 1077-1081., Barker 1999BARKER DJ. 1999. The fetal origins of type 2 diabetes mellitus. Ann Intern Med 130(4 Pt. 1): 322-324.). They showed that individuals submitted to intrauterine malnutrition may suffer long-term predisposition to a series of non-communicable diseases, been programed to the nutritional deficiency throughout life. It is well described that when there is a mismatch between the nutritional condition in uterus and the nutritional condition extra-uterus, as the low availability of nutriments during gestation life and hypercaloric exposure after birth, it is observed an increased risk to develop metabolic syndrome in adulthood (Lakshmy 2013LAKSHMY R. 2013. Metabolic syndrome: role of maternal undernutrition and fetal programming. Rev Endocr Metab Disord 14(3): 229-240.).
The “programming” term was first proposed by Lucas (1991)LUCAS A. 1991. Programming by early nutrition in man. Ciba Found Symp 156(38-50): 50-35., while discourse about the underling mechanisms of DOHaD (Lucas 1991LUCAS A. 1991. Programming by early nutrition in man. Ciba Found Symp 156(38-50): 50-35.). The programming happen when an environmental stimuli or insult occur during critical windows of development (periods of plasticity that allow the organism to change its morpho-physiology according to environmental conditions) (Lucas 1991LUCAS A. 1991. Programming by early nutrition in man. Ciba Found Symp 156(38-50): 50-35.). Epigenetic changes (DNA methylation, histone modifications and non-codding RNAs) compose the response mechanisms to the early life environmental conditions. The epigenetics changes mediate the effect of early life insults on obesity and comorbidities developed later in life (Bianco-Miotto et al. 2017BIANCO-MIOTTO T, CRAIG JM, GASSER YP, VAN DIJK SJ & OZANNE SE. 2017. Epigenetics and DOHaD: from basics to birth and beyond. J Dev Orig Health Dis 8(5): 513-519.) and may be associated with cardiometabolic markers that may predict the future health condition.
The effects of nutritional insults in a population were studies in people that lived the “Dutch Hunger” between 1944 and 1945, during the Second World War. Among this people, pregnant woman were affected by deep undernutrition; their children were included in studies evaluating the association between the perinatal condition and long-term health (Roseboom et al. 2006ROSEBOOM T, DE ROOIJ S & PAINTER R. 2006. The Dutch famine and its long-term consequences for adult health. Early Hum Dev 82(8): 485-491.). It was shown that exposure to extreme hunger during any stage of pregnancy was associated with glucose intolerance, in adulthood; while exposure to undernutrition in the beginning of pregnancy increased the risk to cardiac disease, atherosclerosis, dyslipidemia, coagulation disfunction, exacerbated response to stress, breast cancer and obesity (Roseboom et al. 2006ROSEBOOM T, DE ROOIJ S & PAINTER R. 2006. The Dutch famine and its long-term consequences for adult health. Early Hum Dev 82(8): 485-491.).
The used experimental nutritional insults include: exposure to high-fat and/or high-caloric diets, low protein diet, overnutrition exposure, caloric and/or nutritional restriction exposure, hyper-sodic diets, among others (Schwingshackl et al. 2017SCHWINGSHACKL L, CHAIMANI A, HOFFMANN G, SCHWEDHELM C & BOEING H. 2017. Impact of different dietary approaches on glycemic control and cardiovascular risk factors in patients with type 2 diabetes: a protocol for a systematic review and network meta-analysis. Syst Rev 6(1): 57.). In addition to the nutritional insults other factors are able to programming, as pollutants, sedentarism, tabaco, drugs and pesticides (Kelishadi & Poursafa 2014KELISHADI R & POURSAFA P. 2014. A review on the genetic, environmental, and lifestyle aspects of the early-life origins of cardiovascular disease. Curr Probl Pediatr Adolesc Health Care 44(3): 54-72.). The exposure to these insults may program the individual to develop a series of diseases in adulthood, as hypertension, type 2 diabetes, pulmonary and kidney diseases, osteoporosis, schizophrenia, depression, breast cancer, polycystic ovarium syndrome, among others (Ozanne et al. 2004OZANNE SE, FERNANDEZ-TWINN D & HALES CN. 2004. Fetal growth and adult diseases. Semin Perinatol 28(1): 81-87.).
Evaluation of cardiovascular risk
The cardiovascular risk is used to identify people with greater probability to die from heart attack or stroke. The main traditional risk factors to cardiovascular disease are the age, sex, hypertension, tabaco, dyslipidemia, and type 2 diabetes. It is well known that these risk factors are grouped and interact with each other, increasing the risk in a synergic way (Almeida 2010ALMEIDA RSR. 2010. Novos marcadores de risco cardiovascular: análise focada na frequência cardíaca elevada. Mestrado Integrado em Medicina, Universidade do Porto, 41 p. (Unpublished).). A range of other markers have been described as: the cardiovascular inflammation (plasmatic C protein, interleukin 6, leucocyte number, periodontal disease, among others); other cardiovascular changes (intima-media thickness, pulse waive velocity, endothelial disfunction, among others); metabolic changes (dysbiosis, obesity, fasting glycemia, insulin resistance, among others); and other nontraditional markers (D vitamin, markers of bone turnover, infections with some microorganisms and psycho-emotional factors, among others) (Almeida 2010ALMEIDA RSR. 2010. Novos marcadores de risco cardiovascular: análise focada na frequência cardíaca elevada. Mestrado Integrado em Medicina, Universidade do Porto, 41 p. (Unpublished)., Al-Rubaye et al. 2018AL-RUBAYE H, PERFETTI G & KASKI JC. 2018. The Role of Microbiota in Cardiovascular Risk: Focus on Trimethylamine Oxide. Curr Probl Cardiol 44(6): 182-196., Traghella et al. 2018TRAGHELLA I, MASTORCI F, ALESSIA P, PINGITORE A & VASSALLE C. 2018. Nontraditional Cardiovascular Biomarkers and Risk Factors: Rationale and Future Perspectives. Biomolecules 8(2): 40.).
It is well known that the “global cardiovascular risk” is a calculation of the absolute risk of having a fatal cardiovascular disease over a specified period (Piepoli et al. 2016PIEPOLI MF ET AL. 2016. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts). Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J 37(29): 2315-2381.). However, this term may be inappropriate, as no cardiovascular risk assessment system accommodates all known risk factors (Cooney et al. 2009COONEY MT, DUDINA AL & GRAHAM IM. 2009. Value and limitations of existing scores for the assessment of cardiovascular risk: a review for clinicians. J Am Coll Cardiol 54(14): 1209-1227.). Several of the under cited cardiovascular risk factors consider the condition short time before the disease is diagnosed, however the cardiometabolic diseases have a silent and slow progression. Furthermore, the DOHaD concept points that there is an important impact of early life on the cardiovascular risk. In this context not only the cardiovascular risk factors need to be review but also the evaluated life period.
Several algorithms and cardiovascular risk scores were developed based on populational studies and are used to evaluate the cardiovascular health or cardiometabolic age in order to assist in cardiovascular disease prevention strategies (Almeida 2010ALMEIDA RSR. 2010. Novos marcadores de risco cardiovascular: análise focada na frequência cardíaca elevada. Mestrado Integrado em Medicina, Universidade do Porto, 41 p. (Unpublished)., Malachias et al. 2016MALACHIAS MVB ET AL. 2016. 7a Diretriz Brasileira de Hipertensão Arterial. Arq Bras Cardiol 107(3): 1-83.). However, these scores do not consider the perinatal life condition and its known environmental insults, which are relevant to cardiometabolic disease development and increased cardiovascular risk in adulthood.
The identification of cardiovascular risk is useful to perform interventions and reduce the incidence events due to coronary disease, peripheral vascular disease, and cerebrovascular disease. To this end, the WHO proposes a categorization of the prevention strategies as primaries (which consider people with risk factors without clinical manifestation of cardiovascular disease) and secondaries (which consider people with diagnosed or established cardiovascular diseases) (WHO 2007WHO - WORLD HEALTH ORGANIZATION. 2007. Prevention of cardiovascular disease: pocket guidelines for assessment and management of cardiovascular risk: (WHO/ISH cardiovascular risk prediction charts for the African Region), WHO Press.).
The cardiovascular risk and the DOHaD concept
A risk factor is defined as: an environmental exposure; innate or acquired characteristic; or a behavior or lifestyle associated with increased probability to develop a disease. The environmental condition during critical windows of development may also affect the cardiovascular risk. Epidemiologic and experimental studies have been pointing to the correlation between a range of perinatal insults and the cardiovascular risk in adult life (Gillman et al. 2007GILLMAN MW ET AL. 2007. Meeting report on the 3rd International Congress on Developmental Origins of Health and Disease (DOHaD). Pediatr Res 61(5 Pt. 1): 625-629., Kelishadi & Poursafa 2014KELISHADI R & POURSAFA P. 2014. A review on the genetic, environmental, and lifestyle aspects of the early-life origins of cardiovascular disease. Curr Probl Pediatr Adolesc Health Care 44(3): 54-72., Murphy et al. 2016MURPHY MO, COHN DM & LORIA AS. 2016. Developmental origins of cardiovascular disease: Impact of early life stress in humans and rodents. Neurosci Biobehav Rev 74(Pt. B): 453-465.).
Among the perinatal conditions correlated with an increase cardiovascular risk in adulthood we may find the insults on the fetus or babies (as examples: nutritional problems, exposure to toxic products, nursing, fast catch-up growth, preterm birth or cesarean) and insults on the mother during gestation and lactation (as example: nutritional condition, body weight gain during pregnancy, heath condition as gestational diabetes or eclampsia) (Kelishadi & Poursafa 2014KELISHADI R & POURSAFA P. 2014. A review on the genetic, environmental, and lifestyle aspects of the early-life origins of cardiovascular disease. Curr Probl Pediatr Adolesc Health Care 44(3): 54-72.).
The Figure 1 shows some cardiometabolic disfunction observed in adulthood and its correlated precocious risk factors. It describes the critical windows of development and the risk factors identified in each life phase, which may be related with cardiometabolic syndrome in adulthood. Some perinatal risk factors and its correlation with cardiometabolic outcomes will be described below.
Cardiometabolic disfunction in adulthood and early cardiovascular risk factors. The life period with increased cardiometabolic outcomes correlated with early risk factors is shown in the center of the figure; in the laterals it is shown the life period susceptible to intervention.
Type of delivery
Is has been shown that the type of delivery affects the long term condition of the organism (Hyde et al. 2012HYDE MJ, MOSTYN A, MODI N & KEMP PR. 2012. The health implications of birth by Caesarean section. Biol Rev Camb Philos Soc 87(1): 229-243.), however little studies evaluated the correlation between the type of delivery and the cardiovascular risk in the offspring. It is suggested an increased risk in young people born by cesarean section (Horta et al. 2013HORTA BL, GIGANTE DP, LIMA RC, BARROS FC & VICTORA CG. 2013. Birth by caesarean section and prevalence of risk factors for non-communicable diseases in young adults: a birth cohort study. PLoS ONE 8(9): e74301.).
It was shown that increased blood pressure is observed in young adults (23 years-old) born by cesarean section, compared with vaginal delivery (Horta et al. 2013HORTA BL, GIGANTE DP, LIMA RC, BARROS FC & VICTORA CG. 2013. Birth by caesarean section and prevalence of risk factors for non-communicable diseases in young adults: a birth cohort study. PLoS ONE 8(9): e74301.). However, when it was evaluated in adolescents the effect of cesarian section to increased blood pressure disappears (Pluymen et al. 2016PLUYMEN LP, SMIT HA, WIJGA AH, GEHRING U, DE JONGSTE JC & VAN ROSSEM L. 2016. Cesarean Delivery, Overweight throughout Childhood, and Blood Pressure in Adolescence. J Pediatr 179: 111-117.).
The body mass index, used to estimate overweight and obesity, is not different in one-year-old babies born by cesarian section or vaginal delivery (Haji et al. 2014HAJI J, HAMILTON JK, YE C, SWAMINATHAN B, HANLEY AJ, SERMER M, CONNELLY PW, ZINMAN B & RETNAKARAN R. 2014. Delivery by Caesarean section and infant cardiometabolic status at one year of age. J Obstet Gynaecol Can 36(10): 864-869.). However the overweight signals were observed from infancy until young adults born by cesarian section (Horta et al. 2013HORTA BL, GIGANTE DP, LIMA RC, BARROS FC & VICTORA CG. 2013. Birth by caesarean section and prevalence of risk factors for non-communicable diseases in young adults: a birth cohort study. PLoS ONE 8(9): e74301., Pluymen et al. 2016PLUYMEN LP, SMIT HA, WIJGA AH, GEHRING U, DE JONGSTE JC & VAN ROSSEM L. 2016. Cesarean Delivery, Overweight throughout Childhood, and Blood Pressure in Adolescence. J Pediatr 179: 111-117.).
Perinatal body weight and mortality
The studies, precursors to the DOHaD concept, carried out by Barker and collaborators and published in the late 1980s, correlates the perinatal condition with development of cardiovascular diseases. These studies showed a strong geographic correlation between perinatal mortality (between 1921 and 1925) and heart attack mortality in adulthood (between 1968 and 1978) (Barker & Osmond 1986BARKER DJ & OSMOND C. 1986. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 1(8489): 1077-1081.). They also showed a strong geographic correlation between stroke, in the period of 1968 and 1978, and the neonatal mortality in the period between 1911 and 1925 (Barker et al. 1989BARKER DJ, OSMOND C & LAW CM. 1989. The intrauterine and early postnatal origins of cardiovascular disease and chronic bronchitis. J Epidemiol Community Health 43(3): 237-240.). These studies suggest that these correlations may depend on perinatal factors that may drive the blood pressure level and other functions of the organism. Barker and collaborators also pointed that there is a strong relationship between the reduced growth in fetal life and early childhood with the appearance of cardiovascular risk factors and mortality in adulthood. It was observed an increased blood pressure in adult people (between 59 and 70 years-old) associated with low birth weight; while the glucose intolerance and ischemic heart disease in adulthood were associated with low body weight at one year of live (Barker & Martyn 1992BARKER DJ & MARTYN CN. 1992. The maternal and fetal origins of cardiovascular disease. J Epidemiol Community Health 46(1): 8-11.).
Following the studies from Dr. Barker, several research groups explored the relationship between body weight and cardiovascular disease in adulthood. Studies in adolescents and young adults showed a U shape curve for the cardiovascular risk, with increased risk in people with low or high birth weight (Suzuki et al. 2000SUZUKI T, MINAMI J, OHRUI M, ISHIMITSU T & MATSUOKA H. 2000. Relationship between birth weight and cardiovascular risk factors in Japanese young adults. Am J Hypertens 13(8): 907-913., Skilton et al. 2014SKILTON MR ET AL. 2014. High birth weight is associated with obesity and increased carotid wall thickness in young adults: the cardiovascular risk in young Finns study. Arterioscler Thromb Vasc Biol 34(5): 1064-1068., Stansfield et al. 2016STANSFIELD BK, FAIN ME, BHATIA J, GUTIN B, NGUYEN JT & POLLOCK NK. 2016. Nonlinear Relationship between Birth Weight and Visceral Fat in Adolescents. J Pediatr 174: 185-192.).
Breast-feeding
The WHO and the United Nations Children’s Fund (UNICEF) propose exclusive breast-feeding in the first six months of life, when other safe foods should be introduced with breastfeeding for at least two years of life (WHO 2018cWHO - WORLD HEALTH ORGANIZATION. 2018c. Infant and young child feeding. Fact sheet. Retrieved 06/01/2019, from https://www.who.int/en/news-room/fact-sheets/detail/infant-and-young-child-feeding.
https://www.who.int/en/news-room/fact-sh...
). Epidemiological studies assessing the impact of breastfeeding on cardiovascular risk are controversial, however there are many confounding factors, such as time or exclusive breastfeeding, in addition to socio-economic and paternal factors. (Owen et al. 2011OWEN CG, WHINCUP PH & COOK DG. 2011. Breast-feeding and cardiovascular risk factors and outcomes in later life: evidence from epidemiological studies. Proc Nutr Soc 70(4): 478-484., Horta et al. 2015HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37.).
The benefice of breast-feeding on cardiovascular mortality is not conclusive (Owen et al. 2011OWEN CG, WHINCUP PH & COOK DG. 2011. Breast-feeding and cardiovascular risk factors and outcomes in later life: evidence from epidemiological studies. Proc Nutr Soc 70(4): 478-484.); however, meta-analysis studies have shown that breast-feeding reduces total blood cholesterol and triglycerides, as well as, blood pressure, obesity and type 2 diabetes. Four meta-analysis, supported by the WHO, performed in sequence, considering publications from 1966 and 2018, will be examined bellow (Horta et al. 2007HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p., 2015, Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p., Horta & De Lima 2019HORTA BL & DE LIMA NP. 2019. Breastfeeding and Type 2 Diabetes: Systematic Review and Meta-Analysis. Curr Diab Rep 19(1): 1.).
These meta-analysis studies point to an small benefice of breast-feeding to blood pressure levels (Horta et al. 2007HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p., 2015, Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.); been more evident on children and adolescent (Horta et al. 2015HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37.). The meta-analysis published in 2015 indicates that only systolic blood pressure was improved, which may depend on the heterogeneity of the included studies (Horta et al. 2015HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37.). The study published in 2013 points the socioeconomic conditions as the main confounding factor, while in the publication from 2007, it was not possible to identify the main confounding factor, however they suggest that the heterogeneity would contribute to the super estimation of the depressor effect of breast-feeding (Horta et al. 2007HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p., Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.). The mechanism leading to the benefice of breast-feeding on blood pressure would be related with the sodium amount in the formulas for babies nutrition and fatty acids in the breast milk, which are important to the development of vascular endothelium, among other factors (Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.).
The two first studies published in 2007 and 2011, show that total cholesterol is increased in breast feed children; however the adults show a reduction in this parameter (Owen et al. 2011OWEN CG, WHINCUP PH & COOK DG. 2011. Breast-feeding and cardiovascular risk factors and outcomes in later life: evidence from epidemiological studies. Proc Nutr Soc 70(4): 478-484., Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.). The authors point that this pattern may depend on the down-regulation of the Hydroxymethylglutaryl coenzime A (HMG-CoA), the key enzyme to the cholesterol synthesis, due to increased levels of cholesterol early in life (Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.). The study published in 2015 did not identify an association between breast-feeding and total cholesterol, however this difference may due to the age of evaluation (Horta et al. 2015HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37.).
The overweight has been considered an important cardiovascular risk marker, which is reduced by the breast-feeding (Horta et al. 2007HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p., 2015, Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.). The benefice of breast-feeding in reduce overweight/ obesity do not appear to be affected by age of evaluation, neither other confounding factors as parents socioeconomic or anthropometric conditions at birth (Horta et al. 2015HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37.). However, studies with lower participant number appear to super estimate the benefice of breast-feeding (Horta et al. 2007HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p.).
The four meta-analysis point to the protective effect of breast-feeding against type 2 diabetes (Horta et al. 2007HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p., 2015, Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p., Horta & De Lima 2019HORTA BL & DE LIMA NP. 2019. Breastfeeding and Type 2 Diabetes: Systematic Review and Meta-Analysis. Curr Diab Rep 19(1): 1.). In the studies published in 2013, 2015 and 2019 the benefice of breast-feeding on type 2 diabetes is greater in adolescents (Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p., Horta et al. 2015HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37., Horta & De Lima 2019HORTA BL & DE LIMA NP. 2019. Breastfeeding and Type 2 Diabetes: Systematic Review and Meta-Analysis. Curr Diab Rep 19(1): 1.). This protector effect of breast-feeding may depend on long-chain fatty acids present in the breast milk, which may improve skeletal muscle, protect against insulin resistance and beta-cells failure (Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.). The pattern of insulin secretion dependent on early life feeding may interfere, as the formula for baby’s nutrition induces increased insulin secretion, which may induce precocious beta-cells failure and type 2 diabetes (Horta & Victora 2013HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.).
Mechanism correlating perinatal insults and cardiovascular risk
Experimental studies have done some light on the mechanisms enrolled in the relation between the perinatal condition and the cardiometabolic disease development later in life. However, the complete panorama on the physio-pathological mechanisms is still unclear. It is necessary to better understand how organs under development in perinatal life are programed and how the brain regulates the organism to face this condition. This scenery may depend on epigenetic mechanisms and consequent alterations in organs development and brain cardiometabolic regulation, which would overcharge the body function, resulting in precocious ageing.
One of the key mechanisms underlying the early life programming of cardiometabolic diseases is the epigenetics, as its mainspring is the memory of early developmental decision even after the determination/differentiation stimulus has disappeared (Safi-Stibler & Gabory 2020SAFI-STIBLER S & GABORY A. 2020. Epigenetics and the Developmental Origins of Health and Disease: Parental environment signalling to the epigenome, critical time windows and sculpting the adult phenotype. Semin Cell Dev Biol 97: 172-180.). Studies have pointed that perinatal insults induce epigenetic modulation, as DNA methylation, histone modifications and non-coding RNAs, which result in altered gene regulation without modification of the DNA sequence. This epigenetic programming alters gene expression due to modifications on genome architecture and accessibility inducing changes in cellular or tissue function that can thereby be relatively stably transmitted earlier in life until adulthood (Zhu et al. 2019ZHU Z, CAO F & LI X. 2019. Epigenetic Programming and Fetal Metabolic Programming. Front Endocrinol (Lausanne) 10: 764.).
Experimental animal models are, now, the best option to study the implication of epigenetic in the DOHaD context, as it is possible to evaluate the epigenetic modifications in multiple time points along lifetime. Most of the studies focus on DNA methylation and primarily adopt a candidate approach, as the transcription factors because its ability to regulate expression of a network of genes (Bianco-Miotto et al. 2017BIANCO-MIOTTO T, CRAIG JM, GASSER YP, VAN DIJK SJ & OZANNE SE. 2017. Epigenetics and DOHaD: from basics to birth and beyond. J Dev Orig Health Dis 8(5): 513-519.). Some specific genes showing disrupted DNA methylation in offspring exposed to altered maternal nutrition in utero include Pparα (peroxisome proliferator–activated receptor-α), a major regulator of lipid metabolism; NR3C1 (the glucocorticoid receptor), a key regulator of metabolism; and Pepck (phosphoenolpyruvate carboxykinase) and Hmgcr (HMG-CoA reductase), which catalyse rate-controlling steps in gluconeogenesis and cholesterol production, respectively (Sun et al. 2013SUN C, BURGNER DP, PONSONBY AL, SAFFERY R, HUANG RC, VUILLERMIN PJ, CHEUNG M & CRAIG JM. 2013. Effects of early-life environment and epigenetics on cardiovascular disease risk in children: highlighting the role of twin studies. Pediatr Res 73(4 Pt. 2): 523-530.). Furthermore, the histones modifications appear to be an important epigenetic target of programmed dysregulation, as they may be present before changes in DNA methylation (Bianco-Miotto et al. 2017BIANCO-MIOTTO T, CRAIG JM, GASSER YP, VAN DIJK SJ & OZANNE SE. 2017. Epigenetics and DOHaD: from basics to birth and beyond. J Dev Orig Health Dis 8(5): 513-519.).
Some common pathological process involved in cardiometabolic disease are associated with epigenetic modifications. Some example are: the inflammation associated with global hypermethylation (Sun et al. 2013SUN C, BURGNER DP, PONSONBY AL, SAFFERY R, HUANG RC, VUILLERMIN PJ, CHEUNG M & CRAIG JM. 2013. Effects of early-life environment and epigenetics on cardiovascular disease risk in children: highlighting the role of twin studies. Pediatr Res 73(4 Pt. 2): 523-530.); the obesity associated with epigenetic changes in adiponectin gene promoters, differentiation and maturity of adipocyte, and epigenetic dysregulation of pro-opiomelanocortin (POMC) and glucocorticoid receptor (GR) in the hypothalamus resulting in hyperphagia and altered energy balance regulation (Zhu et al. 2019ZHU Z, CAO F & LI X. 2019. Epigenetic Programming and Fetal Metabolic Programming. Front Endocrinol (Lausanne) 10: 764.); increased expression of angiotensin-I-converting enzyme (ACE) associated with hypomethylation (activation) of the promoter region of the ACE (Goyal et al. 2019GOYAL D, LIMESAND SW & GOYAL R. 2019. Epigenetic responses and the developmental origins of health and disease. J Endocrinol 242(1): T105-T119.); among several others epigenetic-related mechanism of cardiometabolic diseases.
Several perinatal condition may promote epigenetic programming of cardiometabolic disease. Goyal et al. (2019)GOYAL D, LIMESAND SW & GOYAL R. 2019. Epigenetic responses and the developmental origins of health and disease. J Endocrinol 242(1): T105-T119. discriminate some of these insults where some maternal factors are smoking, maternal diseases, alcohol exposure and drug addictions; while some fetal factors are congenital disorders, multiple fetuses and abnormal placement; and some environmental factors are high altitude leading to hypoxia, pollution exposure and low nutrient availability (Goyal et al. 2019GOYAL D, LIMESAND SW & GOYAL R. 2019. Epigenetic responses and the developmental origins of health and disease. J Endocrinol 242(1): T105-T119.). The factors mentioned above may affect the type of delivery, the perinatal body weight and mortality and/or the breast-feeding quality, which are pointed here as perinatal cardiovascular risk factors.
CONCLUSIONS
The present review points to some perinatal risk factors (low birth weight, absence of breast feeding and delivery by cesarian section) that are associated with occurrence of classic cardiovascular risk biomarker (increased blood pressure, dyslipidemia, hyperglycemia, overweight and obesity). Additionally, these risk factors may appear early in life, from infancy and adolescence, before the cardiometabolic syndrome and its comorbidities are installed in adulthood. The mechanism underlying the correlation between the perinatal condition and precious cardiovascular risk biomarker may depend on epigenetic programming.
Using perinatal biomarkers associated with precocious evaluation of classic cardiovascular risk, during infancy and adolescence, may allow to identify people with increased risk to develop the cardiometabolic syndrome in adulthood. This tracking may contribute to primary prevention strategies to reduce cardiovascular mortality. Considering the precocity of intervention during infancy and adolescence, non-therapeutic strategies as life-style changes (diet control and physical activity) may allow more efficient and long-term outcomes, in the context of DOHaD concept.
Additionally, the promotion of good diet, physical activity, good access to micronutrients and reduced exposure to environmental pollutants, during pregnancy period would improve the fetus development and reduce pre-term birth. Furthermore, these interventions during lactation period, would control the mismatch between pre- and post-birth life as well as the fast catch-up growth, guarantying the benefice of breast feeding.
The public health authorities should consider some changes in the actual social and laboral structure as well as the awareness of the population on DOHaD knowledge to allow a better caring of pregnancy and lactation, and interventions in adolescents with increased cardiovascular risk. Interventions in the schools, labor relationship for women and health system may be a challenge with short-term negative economic impact; however, it might save several lives and promote an important long-term reduction in the economic cost with cardiometabolic diseases treatments.
ACKNOWLEDGMENTS
The student included in this study received scholarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Brazil), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Brazil) and Instituto Adventista do Paraná.
REFERENCES
- AL-RUBAYE H, PERFETTI G & KASKI JC. 2018. The Role of Microbiota in Cardiovascular Risk: Focus on Trimethylamine Oxide. Curr Probl Cardiol 44(6): 182-196.
- ALEXANDER BT, DASINGER JH & INTAPAD S. 2015. Fetal programming and cardiovascular pathology. Compr Physiol 5(2): 997-1025.
- ALMEIDA RSR. 2010. Novos marcadores de risco cardiovascular: análise focada na frequência cardíaca elevada. Mestrado Integrado em Medicina, Universidade do Porto, 41 p. (Unpublished).
- BARKER DJ. 1990. The fetal and infant origins of adult disease. BMJ 301(6761): 1111.
- BARKER DJ. 1999. The fetal origins of type 2 diabetes mellitus. Ann Intern Med 130(4 Pt. 1): 322-324.
- BARKER DJ & MARTYN CN. 1992. The maternal and fetal origins of cardiovascular disease. J Epidemiol Community Health 46(1): 8-11.
- BARKER DJ & OSMOND C. 1986. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 1(8489): 1077-1081.
- BARKER DJ, OSMOND C & LAW CM. 1989. The intrauterine and early postnatal origins of cardiovascular disease and chronic bronchitis. J Epidemiol Community Health 43(3): 237-240.
- BIANCO-MIOTTO T, CRAIG JM, GASSER YP, VAN DIJK SJ & OZANNE SE. 2017. Epigenetics and DOHaD: from basics to birth and beyond. J Dev Orig Health Dis 8(5): 513-519.
- BLAKEMORE SJ & CHOUDHURY S. 2006. Development of the adolescent brain: implications for executive function and social cognition. J Child Psychol Psychiatry 47(3-4): 296-312.
- COONEY MT, DUDINA AL & GRAHAM IM. 2009. Value and limitations of existing scores for the assessment of cardiovascular risk: a review for clinicians. J Am Coll Cardiol 54(14): 1209-1227.
- DE OLIVEIRA JC ET AL. 2013. Poor pubertal protein nutrition disturbs glucose-induced insulin secretion process in pancreatic islets and programs rats in adulthood to increase fat accumulation. J Endocrinol 216(2): 195-206.
- DE OLIVEIRA JC ET AL. 2018. Low-protein diet in puberty impairs testosterone output and energy metabolism in male rats. J Endocrinol 237(3): 243-254.
- FALL C. 2009. Maternal nutrition: effects on health in the next generation. Indian J Med Res 130(5): 593-599.
- FEDERATION ID. 2015. The IDF Consensus Worldwide Definition of the Metabolic Syndrome, from http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf
» http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf - GILLMAN MW ET AL. 2007. Meeting report on the 3rd International Congress on Developmental Origins of Health and Disease (DOHaD). Pediatr Res 61(5 Pt. 1): 625-629.
- GOLESTANZADEH M, RIAHI R & KELISHADI R. 2019. Association of exposure to phthalates with cardiometabolic risk factors in children and adolescents: a systematic review and meta-analysis. Environ Sci Pollut Res Int 26(35): 35670-35686.
- GOYAL D, LIMESAND SW & GOYAL R. 2019. Epigenetic responses and the developmental origins of health and disease. J Endocrinol 242(1): T105-T119.
- GRAF C & FERRARI N. 2016. Metabolic Syndrome in Children and Adolescents. Visc Med 32(5): 357-362.
- HAJI J, HAMILTON JK, YE C, SWAMINATHAN B, HANLEY AJ, SERMER M, CONNELLY PW, ZINMAN B & RETNAKARAN R. 2014. Delivery by Caesarean section and infant cardiometabolic status at one year of age. J Obstet Gynaecol Can 36(10): 864-869.
- HORTA BL, BAHL R, MARTINES J & VICTORA CG. 2007. Evidence on the long-term effects of breastfeeding: systematic review and meta-analyses, 54 p.
- HORTA BL & DE LIMA NP. 2019. Breastfeeding and Type 2 Diabetes: Systematic Review and Meta-Analysis. Curr Diab Rep 19(1): 1.
- HORTA BL, GIGANTE DP, LIMA RC, BARROS FC & VICTORA CG. 2013. Birth by caesarean section and prevalence of risk factors for non-communicable diseases in young adults: a birth cohort study. PLoS ONE 8(9): e74301.
- HORTA BL, LORET DE MOLA C & VICTORA CG. 2015. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr 104(467): 30-37.
- HORTA BL & VICTORA CG. 2013. Long-term effects of breastfeeding: a systematic review, 74 p.
- HYDE MJ, MOSTYN A, MODI N & KEMP PR. 2012. The health implications of birth by Caesarean section. Biol Rev Camb Philos Soc 87(1): 229-243.
- IBANEZ CA ET AL. 2017. A High Fat Diet during Adolescence in Male Rats Negatively Programs Reproductive and Metabolic Function Which Is Partially Ameliorated by Exercise. Front Physiol 8: 807.
- KAUR J. 2014. A Comprehensive Review on Metabolic Syndrome. Cardiol Res Pract 2014: 943162.
- KELISHADI R & POURSAFA P. 2014. A review on the genetic, environmental, and lifestyle aspects of the early-life origins of cardiovascular disease. Curr Probl Pediatr Adolesc Health Care 44(3): 54-72.
- KLEINERT S & HORTON R. 2016. Adolescent health and wellbeing: a key to a sustainable future. Lancet 387(10036): 2355-2356.
- LAKSHMY R. 2013. Metabolic syndrome: role of maternal undernutrition and fetal programming. Rev Endocr Metab Disord 14(3): 229-240.
- LEE I-K, HSIEH C-J, LEE C-T & LIU J-W. 2020. Diabetic patients suffering dengue are at risk for development of dengue shock syndrome/severe dengue: Emphasizing the impacts of co-existing comorbidity(ies) and glycemic control on dengue severity. J Microbiol Immunol Infect 53(1): 69-78.
- LOPEZ-JARAMILLO P, LAHERA V & LOPEZ-LOPEZ J. 2011. Epidemic of cardiometabolic diseases: a Latin American point of view. Ther Adv Cardiovasc Dis 5(2): 119-131.
- LUCAS A. 1991. Programming by early nutrition in man. Ciba Found Symp 156(38-50): 50-35.
- LUCCHETTI BFC ET AL. 2019. Metabolic syndrome agravates cardiovascular, oxidative and inflammatory dysfunction during the acute phase of Trypanosoma cruzi infection in mice. Sci Rep 9(1): 18885.
- LUO ZC, XIAO L & NUYT AM. 2010. Mechanisms of developmental programming of the metabolic syndrome and related disorders. World J Diabetes 1(3): 89-98.
- MALACHIAS MVB ET AL. 2016. 7a Diretriz Brasileira de Hipertensão Arterial. Arq Bras Cardiol 107(3): 1-83.
- MATHIAS PC, ELMHIRI G, DE OLIVEIRA JC, DELAYRE-ORTHEZ C, BARELLA LF, TOFOLO LP, FABRICIO GS, CHANGO A & ABDENNEBI-NAJAR L. 2014. Maternal diet, bioactive molecules, and exercising as reprogramming tools of metabolic programming. Eur J Nutr 53(3): 711-722.
- MCMILLEN IC & ROBINSON JS. 2005. Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiol Rev 85(2): 571-633.
- MCPHERSON NO, FULLSTON T, AITKEN RJ & LANE M. 2014. Paternal obesity, interventions, and mechanistic pathways to impaired health in offspring. Ann Nutr Metab 64(3-4): 231-238.
- MURPHY MO, COHN DM & LORIA AS. 2016. Developmental origins of cardiovascular disease: Impact of early life stress in humans and rodents. Neurosci Biobehav Rev 74(Pt. B): 453-465.
- OWEN CG, WHINCUP PH & COOK DG. 2011. Breast-feeding and cardiovascular risk factors and outcomes in later life: evidence from epidemiological studies. Proc Nutr Soc 70(4): 478-484.
- OZANNE SE, FERNANDEZ-TWINN D & HALES CN. 2004. Fetal growth and adult diseases. Semin Perinatol 28(1): 81-87.
- PATTON GC ET AL. 2016. Our future: a Lancet commission on adolescent health and wellbeing. Lancet 387(10036): 2423-2478.
- PERNG W, GILLMAN MW, FLEISCH AF, MICHALEK RD, WATKINS SM, ISGANAITIS E, PATTI ME & OKEN E. 2014a. Metabolomic profiles and childhood obesity. Obesity (Silver Spring) 22(12): 2570-2578.
- PERNG W, GILLMAN MW, MANTZOROS CS & OKEN E. 2014b. A prospective study of maternal prenatal weight and offspring cardiometabolic health in midchildhood. Ann Epidemiol 24(11): 793-800.
- PIEPOLI MF ET AL. 2016. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts). Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J 37(29): 2315-2381.
- PLUYMEN LP, SMIT HA, WIJGA AH, GEHRING U, DE JONGSTE JC & VAN ROSSEM L. 2016. Cesarean Delivery, Overweight throughout Childhood, and Blood Pressure in Adolescence. J Pediatr 179: 111-117.
- RICHARDSON S. 2020. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA 323(20): 2052-2059.
- ROSEBOOM T, DE ROOIJ S & PAINTER R. 2006. The Dutch famine and its long-term consequences for adult health. Early Hum Dev 82(8): 485-491.
- SAFI-STIBLER S & GABORY A. 2020. Epigenetics and the Developmental Origins of Health and Disease: Parental environment signalling to the epigenome, critical time windows and sculpting the adult phenotype. Semin Cell Dev Biol 97: 172-180.
- SCHWINGSHACKL L, CHAIMANI A, HOFFMANN G, SCHWEDHELM C & BOEING H. 2017. Impact of different dietary approaches on glycemic control and cardiovascular risk factors in patients with type 2 diabetes: a protocol for a systematic review and network meta-analysis. Syst Rev 6(1): 57.
- SKILTON MR ET AL. 2014. High birth weight is associated with obesity and increased carotid wall thickness in young adults: the cardiovascular risk in young Finns study. Arterioscler Thromb Vasc Biol 34(5): 1064-1068.
- STANSFIELD BK, FAIN ME, BHATIA J, GUTIN B, NGUYEN JT & POLLOCK NK. 2016. Nonlinear Relationship between Birth Weight and Visceral Fat in Adolescents. J Pediatr 174: 185-192.
- STEINBECK K. 2009. Obesity and nutrition in adolescents. Adolesc Med State Art Rev 20(3): 900-914.
- SUN C, BURGNER DP, PONSONBY AL, SAFFERY R, HUANG RC, VUILLERMIN PJ, CHEUNG M & CRAIG JM. 2013. Effects of early-life environment and epigenetics on cardiovascular disease risk in children: highlighting the role of twin studies. Pediatr Res 73(4 Pt. 2): 523-530.
- SUZUKI K. 2017. The developing world of DOHaD. J Dev Orig Health Dis 9(3): 266-269.
- SUZUKI T, MINAMI J, OHRUI M, ISHIMITSU T & MATSUOKA H. 2000. Relationship between birth weight and cardiovascular risk factors in Japanese young adults. Am J Hypertens 13(8): 907-913.
- TRAGHELLA I, MASTORCI F, ALESSIA P, PINGITORE A & VASSALLE C. 2018. Nontraditional Cardiovascular Biomarkers and Risk Factors: Rationale and Future Perspectives. Biomolecules 8(2): 40.
- UAUY R, KAIN J & CORVALAN C. 2011. How can the Developmental Origins of Health and Disease (DOHaD) hypothesis contribute to improving health in developing countries? Am J Clin Nutr 94(6 Suppl): 1759S-1764S.
- VON BIBRA H, PAULUS W & ST JOHN SUTTON M. 2016. Cardiometabolic Syndrome and Increased Risk of Heart Failure. Curr Heart Fail Rep 13(5): 219-229.
- WADHWA PD, BUSS C, ENTRINGER S & SWANSON JM. 2009. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin Reprod Med 27(5): 358-368.
- WHO - WORLD HEALTH ORGANIZATION. 2007. Prevention of cardiovascular disease: pocket guidelines for assessment and management of cardiovascular risk: (WHO/ISH cardiovascular risk prediction charts for the African Region), WHO Press.
- WHO - WORLD HEALTH ORGANIZATION. 2017. Adolescents: health risks and solutions. Fact sheet Retrieved 08 August 2017, from http://www.who.int/mediacentre/factsheets/fs345/en/
» http://www.who.int/mediacentre/factsheets/fs345/en/ - WHO - WORLD HEALTH ORGANIZATION. 2018a. About 25 indicators of the Global monitoring framework on NCDs. Retrieved September 2018, from http://www.who.int/nmh/ncd-tools/indicators-definition/en/
» http://www.who.int/nmh/ncd-tools/indicators-definition/en/ - WHO - WORLD HEALTH ORGANIZATION. 2018b. Cardiovascular diseases (CVDs). Fact sheet Retrieved September 2018, from https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)
» https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) - WHO - WORLD HEALTH ORGANIZATION. 2018c. Infant and young child feeding. Fact sheet. Retrieved 06/01/2019, from https://www.who.int/en/news-room/fact-sheets/detail/infant-and-young-child-feeding
» https://www.who.int/en/news-room/fact-sheets/detail/infant-and-young-child-feeding - WHO - WORLD HEALTH ORGANIZATION. 2018d. Noncommunicable diseases. Fact sheet. Retrieved June 2018, from http://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases
» http://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases - ZHU Z, CAO F & LI X. 2019. Epigenetic Programming and Fetal Metabolic Programming. Front Endocrinol (Lausanne) 10: 764.
Publication Dates
-
Publication in this collection
26 June 2023 -
Date of issue
2023
History
-
Received
26 Oct 2020 -
Accepted
28 Jan 2021