| Literature DB >> 23382021 |
Abstract
Obesity is a leading risk factor for impaired glucose tolerance and type 2 diabetes (T2D). Although the cause of the obesity epidemic is multi-factorial and not entirely clear, the recent acceleration in incidence is too rapid to be accounted for only by genetics, the wide availability of calorie-rich foods, and increasingly sedentary lifestyles. Accumulating data suggest that the important causes of the obesity epidemic may be related to developmental and early life environmental conditions. The concept of the developmental origins of health and disease (DOHaD) suggests that adverse influences early in development, particularly during intrauterine life, may result in permanent changes in the physiology and metabolism of the infant, which in turn result in an increased risk of non-communicable diseases in adulthood. For example, undernutrition during pregnancy and rapid postnatal weight gain are associated with obesity and T2D in the adult offspring. Moreover, increasing evidence suggests that early-life exposure to a wide range of chemicals has a significant impact on the causes of metabolic disorders. Although the underlying molecular mechanisms remain to be determined, these factors can affect epigenetic processes, such as DNA methylation, allowing the developmental environment to modulate gene transcription. The objective of this review article was to summarize recent progress in the biomedical implications of the DOHaD concept, focusing on the pathogenesis of obesity and T2D, and to discuss a future direction for preventive strategies from a public health perspective.Entities:
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Year: 2013 PMID: 23382021 PMCID: PMC3650171 DOI: 10.1007/s12199-013-0328-8
Source DB: PubMed Journal: Environ Health Prev Med ISSN: 1342-078X Impact factor: 3.674
Studies of the Dutch hunger winter families
| Subjects | Major findings | References |
|---|---|---|
| Obesity and type 2 diabetes | ||
| Age 19 years | Obesity | Ravelli et al. [ |
| Age 50 years | 2-h glucose levels were elevated after a glucose load | Ravelli et al. [ |
| Increase in body mass index and waist circumference in women | Ravelli et al. [ | |
| Age 58 years | 2-h glucose levels were elevated after a glucose load | de Rooij SR et al. [ |
| Impaired insulin secretion after a glucose load | de Rooij SR et al. [ | |
| Glucose intolerance was differed by PPAR-gamma 2 genotype | de Rooij SR et al. [ | |
| Increased weight and fat deposition in women | Stein et al. [ | |
| No association between prenatal famine and metabolic syndrome | de Rooij et al. [ | |
| Lipid profiles | ||
| Age 50 years | Increased ratio of low-density to high-density lipoproteins | Roseboom et al. [ |
| Age 59 years | Increased total cholesterol and triglyceride levels in women | Lumey et al. [ |
| Blood pressure | ||
| Age 50 years | No differences were found in systolic or diastolic pressure | Roseboom et al. [ |
| No association with adult blood pressure | Roseboom et al. [ | |
| Age 59 years | Moderate increase in systolic but not diastolic blood pressure | Stein et al. [ |
| Greater blood pressure increase during stress | Painter et al. [ | |
| Atherosclerosis and mortality | ||
| Age 50 years | Increased prevalence of coronary heart disease in those exposed to the famine in early gestation | Roseboom et al. [ |
| Higher incidence of coronary artery disease | Painter et al. [ | |
| Age 57 years | No effect on adult mortality | Painter et al. [ |
| Reduced carotid artery intima media thickness | Painter et al. [ | |
| Age between 18 and 64 years | Higher overall adult mortality risk in women | van Abeelen et al. [ |
| Miscellaneous | ||
| Age 24–48 years | Increased risk for schizophrenia | Susser et al. [ |
| Age 50 years | Decreased factor VII concentrations | Roseboom et al. [ |
| Increased prevalence of obstructive airways disease | Lopuhaa et al. [ | |
| Age 58 years | No difference in cortisol concentrations after dexamethasone suppression test | de Rooij et al. [ |
PPAR Peroxisome proliferator-activated receptor
Studies on environmental chemicals on obesity and type 2 diabetes
| Subjects | Chemicalsa | Major findings | References |
|---|---|---|---|
| Human studies | |||
| Adults in southern Taiwan | Arsenic | High prevalence of T2D | Lai et al. [ |
| Air Force veterans | TCDD | Increased prevalence of T2D | Henriksen et al. [ |
| Air Force veterans | TCDD | Serum level was correlated with incidence of T2D | Longnecker et al. [ |
| Pubertal boys | DDE | Increased body weight | Gladen et al. [ |
| Adults | POPs | Correlated with the prevalence of T2D | Lee et al. [ |
| Adult women | PCB | Increased incidence of T2D | Vasiliu et al. [ |
| Mexican Americans |
| Increased prevalence of T2D | Cox et al. [ |
| Adult native Americans | HCB | Serum level was positively correlated with incidence of T2D | Codru et al. [ |
| U.S. population | Organochlorine pesticides | Positively associated with metabolic syndrome | Lee et al. [ |
| Children aged 6 years | HCB | Increased BMI (body mass index) and body weight | Smink et al. [ |
| Yucheng poisoning women | PCBs | Increased prevalence of T2D | Wang et al. [ |
| Residents in Cd-contaminated area | Cd | Correlated with diabetic nephropathy | Hanswell-Elkins et al. [ |
| Air Force veterans | TCDD | Increased prevalence of T2D | Michalek et al. [ |
| Adult female offspring | DDE | Increased weight and BMI | Karmaus et al. [ |
| Women aged 50–59 years |
| Increased prevalence of T2D | Rignell-Hydbom et al. [ |
| Workers | PFOS | Increased prevalence of T2D | Lundin et al. [ |
| Children aged 3 years | DDE and PCBs | Intrauterine exposure was associated with BMI | Verhulst et al. [ |
| Great Lakes sport fish consumers | DDE | Increased incidence of T2D | Turyk et al. [ |
| Women in southern Spain | Nonylphenol | Positively associated with BMI | Lopez-Espinosa et al. [ |
| Adults of eastern Slovakia | PCBs | Increased prevalence of T2D | Ukropec et al. [ |
| Koreans | Organochlorine pesticides | Increased prevalence of T2D | Son et al. [ |
| Adults | PCBs | Increased prevalence of T2D | Lee et al. [ |
| Koreans | Heptachlor epoxide | Positively associated with metabolic syndrome | Park et al. [ |
| Children at 14 months | DDE | Elevated BMI | Mendez et al. [ |
| Adults aged 18–74 | BPA | Higher exposure was associated with general and central obesity | Carwile et al. [ |
| Women aged 20 years | PFOA | Maternal PFOA concentrations were positively associated with BMI | Halldorsson et al. [ |
| Adult populations of Catalonia | PCBs and HCBs | Positively associated with diabetes and prediabetes | Gasull et al. [ |
| Animal studies | |||
| Rats | Cd | Neonatal exposure increased diabetic prevalence | Merali et al. [ |
| Female mice | BPA | Perinatal exposure led to obesity | Howdeshell et al. [ |
| Female rats | BPA | Perinatal exposure led to obesity | Rubin et al. [ |
| Rats | BPA | Perinatal exposure led to impaired glucose tolerance | Wei et al. [ |
| Female ewe lambs | Octylphenols | Gestational exposure led to obesity | Wright et al. [ |
| Mice | DES | Perinatal exposure led to obesity | Newbold et al. [ |
| Mice | TBT | In utero exposure led to obesity | Grun et al. [ |
| Female mice | BPA | Perinatal and postnatal exposure led to obesity | Miyawaki et al. [ |
| Female mice | PFOS | Work as developmental obesogen | Hines et al. [ |
| Female rats | BPA | Gestational exposure led to obesity | Somm et al. [ |
| Mice | TBT | In utero exposure led to multipotent stem cells to become adipocytes | Kirchner et al. [ |
TD2 Type 2 diabetes, BMI body mass index
a TCDD 2, 3, 7, 8-Tetrachlorodibenzo-p-dioxin, DDE dichlorodiphenyl-dichloroethylene, POPs persistent organic pollutants, PCB polychlorinated biphenyl, p, p′-DDT dichlorodiphenyltrichloroethane, HCB hexachlorobenzene, Cd cadmium, PFOS perfluorooctanesulfonic acid, BPA bisphenol A, PFOA perfluorooctanoate, DES diethylstilbestrol, TBT tributyltin, PFOS perfluorooctanoic acid
Fig. 1Influences during critical fetal periods may cause the adult onset of non-communicable diseases, such as obesity and type 2 diabetes