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Baier I, Pereira A, Ferrer P, Iñiguez G, Mericq V. Higher Prepubertal IGF-1 Concentrations Associate to Earlier Pubertal Tempo in Both Sexes. Horm Res Paediatr 2022; 96:404-411. [PMID: 36513037 DOI: 10.1159/000528662] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/07/2022] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Pubertal onset is triggered by multiple neuroendocrine interactions. The role of prepubertal IGF-1 in this process has not been explored in both sexes. Our objective was to analyze the association of prepubertal IGF-1 concentration with age at thelarche (B2) and menarche (M) in girls and age at gonadarche (G2) in boys. METHODS This is a longitudinal study (n = 1,196 boys and girls) within the Growth and Obesity Chilean Cohort Study (GOCS). At age ≈ 6.7 years, blood sample was taken for IGF-1. Subjects were divided into 4 groups according to the onset age of the pubertal event. RESULTS Higher prepubertal IGF-1 levels were observed at earlier ages of B2 (p = 0.003) and M onset (p = 0.041). A taller prepubertal height was observed at younger ages of B2 and M (p=<0.001 and 0.002, respectively). The hazard proportional regression models (HR) showed that with an increase of 1 SD in IGF-1, the HR of presenting B2 at younger ages was 1.25, and this association was maintained when adjusted for confounding variables. Similarly, the HR of presenting M at earlier ages was 1.21. This association was maintained only when adjusting for body mass index but not using further confounders. In boys, prepubertal IGF-1 showed a tendency to be significantly higher in children with earlier G2 and taller height (both p < 0.001). The HR of presenting G2 at younger ages was 1.22, and this association was maintained after adjusting for confounders. CONCLUSIONS Higher IGF-1 levels in mid-childhood are associated with earlier puberty onset. The role of IGF-1 in the onset of puberty requires further investigation.
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Affiliation(s)
- Ingrid Baier
- Institute of Maternal and Child Research, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Ana Pereira
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
| | - Pedro Ferrer
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
| | - German Iñiguez
- Institute of Maternal and Child Research, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Verónica Mericq
- Institute of Maternal and Child Research, Faculty of Medicine, University of Chile, Santiago, Chile
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Liu Y, Gusev A, Heng YJ, Alexandrov LB, Kraft P. Somatic mutational profiles and germline polygenic risk scores in human cancer. Genome Med 2022; 14:14. [PMID: 35144655 PMCID: PMC8832866 DOI: 10.1186/s13073-022-01016-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 01/24/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The mutational profile of cancer reflects the activity of the mutagenic processes which have been operative throughout the lineage of the cancer cell. These processes leave characteristic profiles of somatic mutations called mutational signatures. Mutational signatures, including single-base substitution (SBS) signatures, may reflect the effects of exogenous or endogenous exposures. METHODS We used polygenic risk scores (PRS) to summarize common germline variation associated with cancer risk and other cancer-related traits and examined the association between somatic mutational profiles and germline PRS in 12 cancer types from The Cancer Genome Atlas. Somatic mutational profiles were constructed from whole-exome sequencing data of primary tumors. PRS were calculated for the 12 selected cancer types and 9 non-cancer traits, including cancer risk determinants, hormonal factors, and immune-mediated inflammatory diseases, using germline genetic data and published summary statistics from genome-wide association studies. RESULTS We found 17 statistically significant associations between somatic mutational profiles and germline PRS after Bonferroni correction (p < 3.15 × 10-5), including positive associations between germline inflammatory bowel disease PRS and number of somatic mutations attributed to signature SBS1 in prostate cancer and APOBEC-related signatures in breast cancer. Positive associations were also found between age at menarche PRS and mutation counts of SBS1 in overall and estrogen receptor-positive breast cancer. Consistent with prior studies that found an inverse association between the pubertal development PRS and risk of prostate cancer, likely reflecting hormone-related mechanisms, we found an inverse association between age at menarche PRS and mutation counts of SBS1 in prostate cancer. Inverse associations were also found between several cancer PRS and tumor mutation counts. CONCLUSIONS Our analysis suggests that there are robust associations between tumor somatic mutational profiles and germline PRS. These may reflect the mechanisms through hormone regulation and immune responses that contribute to cancer etiology and drive cancer progression.
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Affiliation(s)
- Yuxi Liu
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA ,grid.38142.3c000000041936754XProgram in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA 02115 USA
| | - Alexander Gusev
- grid.65499.370000 0001 2106 9910Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215 USA
| | - Yujing J. Heng
- grid.38142.3c000000041936754XDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215 USA
| | - Ludmil B. Alexandrov
- grid.266100.30000 0001 2107 4242Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093 USA
| | - Peter Kraft
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA ,grid.38142.3c000000041936754XProgram in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
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Aris IM, Perng W, Dabelea D, Ganiban JM, Liu C, Marceau K, Robertson OC, Hockett CW, Mihalopoulos NL, Kong X, Herting MM, O’Shea TM, Jensen ET, Hivert MF, Oken E. Analysis of Early-Life Growth and Age at Pubertal Onset in US Children. JAMA Netw Open 2022; 5:e2146873. [PMID: 35119461 PMCID: PMC8817204 DOI: 10.1001/jamanetworkopen.2021.46873] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/11/2021] [Indexed: 12/14/2022] Open
Abstract
Importance Earlier pubertal onset may be associated with an increased risk of chronic diseases. However, the extent to which growth in the first 5 years of life-an important developmental life stage that lays the foundation for later health outcomes-is associated with pubertal onset remains understudied. Objective To assess whether changes in weight, length or height, and body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) during the first 5 years of life are associated with earlier pubertal onset. Design, Setting, and Participants This cohort study used data from 36 cohorts participating in the Environmental Influences on Child Health Outcomes program from January 1, 1986, to December 31, 2015. Participant inclusion required at least 1 anthropometric measure in the first 5 years of life and at least 1 measure of pubertal onset. Data were analyzed from January 1 to June 30, 2021. Exposures Standardized velocities of weight, length or height, and BMI gain in early infancy (0-0.5 years), late infancy (0.5-2 years), and early childhood (2-5 years). Main Outcomes and Measures Markers of pubertal onset for boys and girls, including age at peak height velocity (APHV), time to puberty score greater than 1, time to Tanner pubic hair stage greater than 1, and time to menarche. Multivariable regression models were used to estimate mean differences in APHV by growth periods. Results Of 7495 children included in the study, 3772 (50.3%) were girls, 4505 (60.1%) were White individuals, and 6307 (84.1%) were born during or after the year 2000. Girls had a younger APHV (10.8 vs 12.9 years) than boys. In boys, faster weight gain (per 1-SD increase) in early infancy (β, -0.08 years; 95% CI, -0.10 to -0.06), late infancy (β, -0.10 years; 95% CI, -0.12 to -0.08), and early childhood (β, -0.07 years; 95% CI, -0.08 to -0.05) was associated with younger APHV after adjusting for the child's birth year, race, and Hispanic ethnicity as well as maternal age at delivery; educational level during pregnancy; annual household income during pregnancy; prenatal cigarette smoking; whether the mother was nulliparous; whether the mother had gestational diabetes, hypertension, or preeclampsia; mode of delivery; prepregnancy BMI; gestational weight gain; and gestational age at delivery. Similar associations were observed for length or height and BMI gains during the same age periods. In girls, faster gains (per 1-SD increase) in weight (β, -0.03 years; 95% CI, -0.05 to -0.01) and height (β, -0.02 years; 95% CI, -0.04 to 0.00) in early childhood were associated with younger APHV. Faster BMI gain in late infancy was associated with earlier time to menarche, whereas faster BMI gain in early childhood was associated with earlier time to Tanner pubic hair stage greater than 1. Conclusions and Relevance This cohort study found that faster gains in weight, length or height, or BMI in early life were associated with earlier pubertal onset. The results suggest that children who experience faster early growth should be monitored closely for earlier onset of puberty and referred as appropriate for supportive services.
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Affiliation(s)
- Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC
| | - Chang Liu
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC
| | - Kristine Marceau
- Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana
| | - Olivia C. Robertson
- Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana
| | - Christine W. Hockett
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Vermillion
| | | | - Xiangrong Kong
- Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Megan M. Herting
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles
| | - T. Michael O’Shea
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill
| | - Elizabeth T. Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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Aris IM, Rifas-Shiman SL, Mínguez-Alarcón L, Sordillo JE, Hivert MF, Oken E, Chavarro JE. Association of mode of delivery with offspring pubertal development in Project Viva: a prospective pre-birth cohort study in the USA. Hum Reprod 2021; 37:54-65. [PMID: 34755186 PMCID: PMC8730300 DOI: 10.1093/humrep/deab235] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 10/04/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION Is cesarean delivery associated with earlier offspring pubertal development? SUMMARY ANSWER We identified that boys born by cesarean delivery developed puberty earlier, evidenced by an earlier age at peak height velocity and earlier attainment of puberty score > 1, than boys born by vaginal delivery. WHAT IS KNOWN ALREADY Cesarean delivery is posited to have long-term effects on health outcomes. However, few studies have examined whether mode of delivery is related to pubertal development. STUDY DESIGN, SIZE, DURATION Prospective pre-birth cohort study consisting of 1485 mother-child pairs enrolled during pregnancy from obstetric practices and followed up until early adolescence (median age 12.9 years). Participant inclusion required data on mode of delivery and at least one measure of pubertal development. PARTICIPANTS/MATERIALS, SETTING, METHODS Participants are children from the Project Viva study. We abstracted information on delivery mode from electronic medical records from children followed since birth (1999-2002) and examined the following markers of pubertal development: age at peak height velocity (APHV); age at menarche (girls only); parent-reported pubertal development score; and child-reported pictograph Tanner pubic hair staging. We used multivariable regression models to examine associations of delivery mode with these four pubertal indices, adjusting for the following confounders: demographic and socioeconomic factors; maternal height, pre-pregnancy BMI, total gestational weight gain, pregnancy conditions, parity, and maternal age at menarche; paternal height and BMI; gestational age at delivery and birthweight-for-gestational-age z-score. MAIN RESULTS AND THE ROLE OF CHANCE In this study, 23.2% of children were born by cesarean delivery. Girls had an earlier APHV, had a higher pubertal score throughout childhood and in early adolescence, and were more likely to attain puberty score >1 and Tanner pubic hair Stage >1 earlier compared to boys. Mean (SD) age at menarche in girls was 12.4 (1.0) years. Boys born by cesarean delivery had significantly earlier APHV (β -0.23 years; 95% CI -0.40, -0.05) and higher risk of earlier attainment of puberty score > 1 (hazard ratio 1.09; 95% CI 1.01, 1.19) than boys born by vaginal delivery, after adjusting for confounders. These associations were not mediated by pre-pubertal BMI and were similar for planned (no labor) and unplanned (labor) cesarean delivery. No associations were observed between delivery mode and time to attain Tanner pubic hair Stage > 1 in boys. In girls, mode of delivery was not associated with any of the measured pubertal development markers. LIMITATIONS, REASONS FOR CAUTION This study used, as secondary outcomes, parent- and child-reported measures of pubertal development, which may be more prone to error and misclassification than information collected by trained observers or physicians during clinical examinations. The findings may also not be generalizable to populations from different settings, because all participants lived in one geographic area, were well educated, and had health care. WIDER IMPLICATIONS OF THE FINDINGS Our findings provide support for cesarean delivery as a potential indicator of identifying children who are likely to experience earlier pubertal development; however, more studies are needed to confirm or refute these observations. STUDY FUNDING/COMPETING INTEREST(S) The project was funded by grants from the National Institutes of Health. The authors have no financial relationships or competing interests to disclose. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Lidia Mínguez-Alarcón
- Department of Medicine, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joanne E Sordillo
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Medicine, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Pubertal Growth, IGF-1, and Windows of Susceptibility: Puberty and Future Breast Cancer Risk. J Adolesc Health 2021; 68:517-522. [PMID: 32888770 PMCID: PMC7902462 DOI: 10.1016/j.jadohealth.2020.07.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/08/2020] [Accepted: 07/09/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE Risk markers for breast cancer include earlier onset of menarche (age at menarche [AAM]) and peak height velocity (PHV). Insulin-like growth factor-1 (IGF-1) is associated with pubertal milestones, as well as cancer risk. This study examined the relationships between pubertal milestones associated with breast cancer risk and hormone changes in puberty. METHODS This is a longitudinal study of pubertal maturation in 183 girls, recruited at ages 6-7, followed up between 2004 and 2018. Measures included age at onset of puberty, and adult height attained; PHV; AAM; adult height, and serum IGF-1, and estrone-to-androstenedione (E:A) ratio. RESULTS PHV was greatest in early, and least in late maturing girls; length of the pubertal growth spurt was longest in early, and shortest in late maturing girls. Earlier AAM was related to greater PHV. IGF-1 concentrations tracked significantly during puberty; higher IGF-1 was related to earlier age of PHV, earlier AAM, greater PHV, and taller adult height. Greater E:A ratio was associated with earlier AAM. CONCLUSIONS Factors driving the association of earlier menarche and pubertal growth with breast cancer risk may be explained through a unifying concept relating higher IGF-1 concentrations, greater lifelong estrogen exposure, and longer pubertal growth period, with an expanded pubertal window of susceptibility.
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Racial differences in prostate cancer: does timing of puberty play a role? Br J Cancer 2020; 123:349-354. [PMID: 32439935 PMCID: PMC7403332 DOI: 10.1038/s41416-020-0897-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 04/16/2020] [Accepted: 04/29/2020] [Indexed: 12/19/2022] Open
Abstract
The burden of prostate cancer has a remarkably disproportionate distribution across racial groups. For example, in the USA, African Americans are twice as likely as individuals of European ancestry to develop or die from prostate cancer, and have a more aggressive disease nature at diagnosis. In contrast, Asian American men have the lowest incidence and mortality rates of prostate cancer. That considerable racial disparities exist even in the subclinical stage of prostate cancer among young men in their 20–30s suggests that patterns of prostate carcinogenesis start to diverge even earlier, perhaps during puberty, when the prostate matures at its most rapid rate. Mendelian randomisation studies have provided strong population-based evidence supporting the hypothesis that earlier onset of puberty increases the risk of prostate cancer—particularly of high grade—and prostate cancer-specific mortality later in life, observations which correspond to the epidemiology of the disease in African Americans. Notably, African American boys initiate genital development ~1 year earlier and thus go through longer periods of pubertal maturation compared with European American boys. In this perspective, bringing together existing evidence, we point to puberty as a potential critical window of increased susceptibility to prostate carcinogenesis that could account for the marked prevailing racial differences in the burden of prostate cancer.
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Aris IM, Rifas-Shiman SL, Li LJ, Fleisch AF, Hivert MF, Kramer MS, Oken E. Parental Obesity and Offspring Pubertal Development: Project Viva. J Pediatr 2019; 215:123-131.e2. [PMID: 31604633 PMCID: PMC6878167 DOI: 10.1016/j.jpeds.2019.08.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 07/18/2019] [Accepted: 08/14/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To investigate the association of preconception parental obesity (body mass index [BMI] ≥30 kg/m2) with offspring pubertal development. STUDY DESIGN Among 1377 children from a prospective prebirth cohort in Boston, we examined markers of puberty (age at peak height velocity [PHV], age at menarche, self-reported pubertal development score), and adrenarche (pictograph Tanner pubic hair staging). We used multivariable regression models to examine associations of maternal and paternal obesity with offspring pubertal indices, and applied marginal structural models to estimate the controlled direct effect not mediated by offspring prepubertal BMI. RESULTS The prevalence of paternal obesity alone, maternal obesity alone, and biparental obesity were 10.5%, 10.1%, and 5%, respectively. After adjusting for demographic and socioeconomic factors, parental heights and maternal age at menarche, maternal obesity alone (vs neither parent with obesity) was associated with earlier age at PHV (β -0.30 years; 95% CI -0.57, -0.03) and higher early adolescent pubertal score (0.29 units; 0.10, 0.48) in boys, but not with pubertal or adrenarchal outcomes in girls. Paternal obesity alone was not associated with any outcomes in either boys or girls. Biparental obesity was associated with earlier age at PHV in boys and earlier menarche in girls. Using marginal structural models with stabilized inverse probability weighting, maternal obesity alone had significant controlled direct effects on age at PHV (-0.31 years; -0.62, 0.00) and on pubertal score (0.22 units; 0.00, 0.44) in boys, independent of prepubertal BMI. CONCLUSION Maternal, but not paternal, obesity is associated with earlier pubertal development in boys, and such association is independent of prepubertal BMI.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Ling-Jun Li
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Division of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore; Obstetrics and Gynecology Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Abby F Fleisch
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME; Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Michael S Kramer
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pediatrics, McGill University Faculty of Medicine, Montreal, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Wiley AS. The Evolution of Lactase Persistence: Milk Consumption, Insulin-Like Growth Factor I, and Human Life-History Parameters. QUARTERLY REVIEW OF BIOLOGY 2018. [DOI: 10.1086/700768] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Cole TJ. Optimal design for longitudinal studies to estimate pubertal height growth in individuals. Ann Hum Biol 2018; 45:314-320. [PMID: 29669435 PMCID: PMC6191888 DOI: 10.1080/03014460.2018.1453948] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 03/05/2018] [Accepted: 03/12/2018] [Indexed: 10/25/2022]
Abstract
BACKGROUND The SITAR model expresses individual pubertal height growth in terms of mean size, peak height velocity (PHV) and age at PHV. AIM To use SITAR to identify the optimal time interval between measurements to summarise individual pubertal height growth. SUBJECTS AND METHODS Heights in 3172 boys aged 9-19 years from Christ's Hospital School measured on 128 679 occasions (a median of 42 heights per boy) were analysed using the SITAR (SuperImposition by Translation And Rotation) mixed effects growth curve model, which estimates a mean curve and three subject-specific random effects. Separate models were fitted to sub-sets of the data with measurement intervals of 2, 3, 4, 6, 12 and 24 months, and the different models were compared. RESULTS The models for intervals 2-12 months gave effectively identical results for the residual standard deviation (0.8 cm), mean spline curve (6 degrees of freedom) and random effects (correlations >0.9), showing there is no benefit in measuring height more often than annually. The model for 2-year intervals fitted slightly less well, but needed just four-to-five measurements per individual. CONCLUSIONS Height during puberty needs to be measured only annually and, with slightly lower precision, just four biennial measurements can be sufficient.
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Affiliation(s)
- Tim James Cole
- Population, Policy and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK
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Lopez-Espinosa MJ, Mondal D, Armstrong BG, Eskenazi B, Fletcher T. Perfluoroalkyl Substances, Sex Hormones, and Insulin-like Growth Factor-1 at 6-9 Years of Age: A Cross-Sectional Analysis within the C8 Health Project. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:1269-75. [PMID: 26794451 PMCID: PMC4977043 DOI: 10.1289/ehp.1509869] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 12/18/2015] [Indexed: 05/18/2023]
Abstract
BACKGROUND Exposure to some perfluoroalkyl substances (PFAS), such as perfluorohexane sulfonate (PFHxS), perfluorooctanoate (PFOA), perfluorooctane sulfonate (PFOS), and perfluorononanoic acid (PFNA), may alter levels of sex hormones and insulin-like growth factor-1 (IGF-1) in animals. Human studies on this topic are scarce, and none have been conducted in young children. OBJECTIVES We investigated the relationship between levels of PFAS and estradiol, total testosterone, and IGF-1 in 2,292 children (6-9 years of age) from the C8 Health Project who lived near a chemical plant in the Mid-Ohio Valley (USA) with local contamination from PFOA. METHODS Serum samples were collected in 2005-2006 and analyzed for PFAS, sex hormones, and IGF-1. Results from regression models were expressed as the adjusted percentage difference (95% CI) per sex-specific interquartile range (IQR) increment of each PFAS serum concentration. Analyses by PFAS quartiles were also conducted. RESULTS Median concentrations of PFHxS, PFOA, PFOS, and PFNA were 8, 35, 22, and 1.7 ng/mL in boys and 7, 30, 21, and 1.7 ng/mL in girls. In boys, PFOA concentrations were significantly associated with testosterone levels (-4.9%; 95% CI: -8.7, -0.8%); PFOS with estradiol (-4.0%; 95% CI: -7.7, -0.1%), testosterone (-5.8%; 95% CI: -9.4, -2.0%), and IGF-1 (-5.9%; 95% CI: -8.3, -3.3%); and PFNA with IGF-1 (-3.5%; 95% CI: -6.0, -1.0%). In girls, significant associations were found between PFOS and testosterone (-6.6%; 95% CI: -10.1, -2.8%) and IGF-1 (-5.6%; -8.2, -2.9%); and PFNA and IGF-1 (-3.8%; 95% CI: -6.4, -1.2%). In both sexes, the magnitudes of the associations decreased monotonically across quartiles for both testosterone and IGF-1 in relation to PFOS, and for IGF-1 and PFNA in girls. CONCLUSIONS To our knowledge, this is the first study suggesting that PFAS are associated with lower levels of IGF-1 and sex hormones in young children. CITATION Lopez-Espinosa MJ, Mondal D, Armstrong BG, Eskenazi B, Fletcher T. 2016. Perfluoroalkyl substances, sex hormones, and insulin-like growth factor-1 at 6-9 years of age: a cross-sectional analysis within the C8 Health Project. Environ Health Perspect 124:1269-1275; http://dx.doi.org/10.1289/ehp.1509869.
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Affiliation(s)
- Maria-Jose Lopez-Espinosa
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Epidemiology and Environmental Health Joint Research Unit, FISABIO (Foundation for the Promotion of Health and Biomedical Research in the Valencian Region)–Universitat Jaume I–Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Address correspondence to M.-J. Lopez-Espinosa, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Valencia, Spain, Avda Catalunya 21, 46020 Valencia, Spain. Telephone: (34) 961925943. E-mail:
| | - Debapriya Mondal
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
- School of Environment and Life Sciences, University of Salford, The Crescent, Salford, United Kingdom
| | - Ben G. Armstrong
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Brenda Eskenazi
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Tony Fletcher
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
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11
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Ben-Shlomo Y, Cooper R, Kuh D. The last two decades of life course epidemiology, and its relevance for research on ageing. Int J Epidemiol 2016; 45:973-988. [PMID: 27880685 PMCID: PMC5841628 DOI: 10.1093/ije/dyw096] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2016] [Indexed: 12/11/2022] Open
Affiliation(s)
- Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
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12
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Bonilla C, Lewis SJ, Martin RM, Donovan JL, Hamdy FC, Neal DE, Eeles R, Easton D, Kote-Jarai Z, Al Olama AA, Benlloch S, Muir K, Giles GG, Wiklund F, Gronberg H, Haiman CA, Schleutker J, Nordestgaard BG, Travis RC, Pashayan N, Khaw KT, Stanford JL, Blot WJ, Thibodeau S, Maier C, Kibel AS, Cybulski C, Cannon-Albright L, Brenner H, Park J, Kaneva R, Batra J, Teixeira MR, Pandha H, Lathrop M, Davey Smith G. Pubertal development and prostate cancer risk: Mendelian randomization study in a population-based cohort. BMC Med 2016; 14:66. [PMID: 27044414 PMCID: PMC4820939 DOI: 10.1186/s12916-016-0602-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 03/16/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Epidemiological studies have observed a positive association between an earlier age at sexual development and prostate cancer, but markers of sexual maturation in boys are imprecise and observational estimates are likely to suffer from a degree of uncontrolled confounding. To obtain causal estimates, we examined the role of pubertal development in prostate cancer using genetic polymorphisms associated with Tanner stage in adolescent boys in a Mendelian randomization (MR) approach. METHODS We derived a weighted genetic risk score for pubertal development, combining 13 SNPs associated with male Tanner stage. A higher score indicated a later puberty onset. We examined the association of this score with prostate cancer risk, stage and grade in the UK-based ProtecT case-control study (n = 2,927), and used the PRACTICAL consortium (n = 43,737) as a replication sample. RESULTS In ProtecT, the puberty genetic score was inversely associated with prostate cancer grade (odds ratio (OR) of high- vs. low-grade cancer, per tertile of the score: 0.76; 95 % CI, 0.64-0.89). In an instrumental variable estimation of the causal OR, later physical development in adolescence (equivalent to a difference of one Tanner stage between pubertal boys of the same age) was associated with a 77 % (95 % CI, 43-91 %) reduced odds of high Gleason prostate cancer. In PRACTICAL, the puberty genetic score was associated with prostate cancer stage (OR of advanced vs. localized cancer, per tertile: 0.95; 95 % CI, 0.91-1.00) and prostate cancer-specific mortality (hazard ratio amongst cases, per tertile: 0.94; 95 % CI, 0.90-0.98), but not with disease grade. CONCLUSIONS Older age at sexual maturation is causally linked to a reduced risk of later prostate cancer, especially aggressive disease.
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Affiliation(s)
- Carolina Bonilla
- />School of Social and Community Medicine, University of Bristol, Bristol, UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Sarah J. Lewis
- />School of Social and Community Medicine, University of Bristol, Bristol, UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Richard M. Martin
- />School of Social and Community Medicine, University of Bristol, Bristol, UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- />National Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Bristol, UK
| | - Jenny L. Donovan
- />School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Freddie C. Hamdy
- />Nuffield Department of Surgery, University of Oxford, Oxford, UK
| | - David E. Neal
- />Nuffield Department of Surgery, University of Oxford, Oxford, UK
- />Surgical Oncology (Uro-Oncology: S4), University of Cambridge, Box 279, Addenbrooke’s Hospital, Hills Road, Cambridge, UK
| | - Rosalind Eeles
- />The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG Surrey UK
- />The Royal Marsden NHS Foundation Trust, Fulham and Sutton London and Surrey, UK
| | - Doug Easton
- />Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway Cambridge, UK
| | - Zsofia Kote-Jarai
- />The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG Surrey UK
| | - Ali Amin Al Olama
- />Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway Cambridge, UK
| | - Sara Benlloch
- />Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway Cambridge, UK
| | - Kenneth Muir
- />University of Warwick, Coventry, UK
- />Institute of Population Health, The University of Manchester, Manchester, M13 9PL UK
| | - Graham G. Giles
- />The Cancer Council Victoria, 615 St. Kilda Road, Melbourne, Victoria 3004 Australia
- />Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010 Australia
| | - Fredrik Wiklund
- />Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Henrik Gronberg
- />Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Christopher A. Haiman
- />Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA USA
| | - Johanna Schleutker
- />Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
- />Institute of Biomedical Technology/BioMediTech, University of Tampere and FimLab Laboratories, Tampere, Finland
| | - Børge G. Nordestgaard
- />Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev, DK-2730 Denmark
| | - Ruth C. Travis
- />Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Nora Pashayan
- />Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway Cambridge, UK
- />Department of Applied Health Research, University College London, 1-19 Torrington Place, London, WC1E 7HB UK
| | - Kay-Tee Khaw
- />Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR UK
| | - Janet L. Stanford
- />Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
- />Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA USA
| | - William J. Blot
- />International Epidemiology Institute, 1455 Research Blvd., Suite 550, Rockville, MD 20850 USA
| | | | - Christiane Maier
- />Department of Urology, University Hospital Ulm, Ulm, Germany
- />Institute of Human Genetics, University Hospital Ulm, Ulm, Germany
| | - Adam S. Kibel
- />Brigham and Women’s Hospital/Dana-Farber Cancer Institute, 45 Francis Street - ASB II-3, Boston, MA 02115 USA
- />Washington University, St Louis, MO USA
| | - Cezary Cybulski
- />International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Lisa Cannon-Albright
- />Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT USA
| | - Hermann Brenner
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- />Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- />German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jong Park
- />Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL USA
| | - Radka Kaneva
- />Molecular Medicine Center and Department of Medical Chemistry and Biochemistry, Medical University-Sofia, 2 Zdrave St., Sofia, 1431 Bulgaria
| | - Jyotsna Batra
- />Australian Prostate Cancer Research Centre – Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Manuel R. Teixeira
- />Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
- />Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
| | - Hardev Pandha
- />The University of Surrey, Guildford, Surrey GU2 7XH UK
| | - Mark Lathrop
- />Commissariat à l’Energie Atomique, Center National de Génotypage, Evry, France
- />McGill University-Génome Québec Innovation Centre, Montreal, Canada
| | - George Davey Smith
- />School of Social and Community Medicine, University of Bristol, Bristol, UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - The PRACTICAL consortium
- />School of Social and Community Medicine, University of Bristol, Bristol, UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- />National Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Bristol, UK
- />Nuffield Department of Surgery, University of Oxford, Oxford, UK
- />Surgical Oncology (Uro-Oncology: S4), University of Cambridge, Box 279, Addenbrooke’s Hospital, Hills Road, Cambridge, UK
- />The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG Surrey UK
- />The Royal Marsden NHS Foundation Trust, Fulham and Sutton London and Surrey, UK
- />Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway Cambridge, UK
- />University of Warwick, Coventry, UK
- />Institute of Population Health, The University of Manchester, Manchester, M13 9PL UK
- />The Cancer Council Victoria, 615 St. Kilda Road, Melbourne, Victoria 3004 Australia
- />Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010 Australia
- />Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- />Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA USA
- />Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
- />Institute of Biomedical Technology/BioMediTech, University of Tampere and FimLab Laboratories, Tampere, Finland
- />Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev, DK-2730 Denmark
- />Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- />Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway Cambridge, UK
- />Department of Applied Health Research, University College London, 1-19 Torrington Place, London, WC1E 7HB UK
- />Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR UK
- />Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
- />Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA USA
- />International Epidemiology Institute, 1455 Research Blvd., Suite 550, Rockville, MD 20850 USA
- />Mayo Clinic, Rochester, MN USA
- />Department of Urology, University Hospital Ulm, Ulm, Germany
- />Institute of Human Genetics, University Hospital Ulm, Ulm, Germany
- />Brigham and Women’s Hospital/Dana-Farber Cancer Institute, 45 Francis Street - ASB II-3, Boston, MA 02115 USA
- />Washington University, St Louis, MO USA
- />International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- />Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT USA
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- />Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- />German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- />Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL USA
- />Molecular Medicine Center and Department of Medical Chemistry and Biochemistry, Medical University-Sofia, 2 Zdrave St., Sofia, 1431 Bulgaria
- />Australian Prostate Cancer Research Centre – Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- />Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
- />Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
- />The University of Surrey, Guildford, Surrey GU2 7XH UK
- />Commissariat à l’Energie Atomique, Center National de Génotypage, Evry, France
- />McGill University-Génome Québec Innovation Centre, Montreal, Canada
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13
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Pochettino AA, Hapon MB, Biolatto SM, Madariaga MJ, Jahn GA, Konjuh CN. Effects of 2,4-dichlorophenoxyacetic acid on the ventral prostate of rats during the peri-pubertal, pubertal and adult stage. Drug Chem Toxicol 2016; 39:392-9. [PMID: 26759115 DOI: 10.3109/01480545.2015.1130718] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) is used on a wide variety of terrestrial and aquatic broadleaf weeds. 2,4-D has been shown to produce a wide range of adverse effects on animal and human health. The aim of the current study was to evaluate the effects of pre- and postnatal exposure to 2,4-D on rat ventral prostate (VP). Pregnant rats were exposed daily to oral doses of 70 mg/kg/day of 2,4-D from 16 days of gestation up to 23 days after delivery. Then, the treated groups (n = 8) were fed with a 2,4-D added diet until sacrificed by decapitation on postnatal day (PND) 45, 60, or 90. Morphometric studies were performed and androgen receptor (AR) protein levels in the VP were determined. AR, insulin-like growth factor-I (IGF-1) and insulin-like growth factor-I receptor (IGF-1R) mRNA expression in the VP along with testosterone (T), dihydroxytestosterone (DHT), growth hormone (GH) and IGF-1 serum levels were also determined to ascertain whether these parameters were differentially affected. Results of this study showed that 2,4-D exposure during gestation and until adulthood altered development of the prostate gland in male rats, delaying it at early ages while increasing its size in adults, indicate that 2,4-D could behave as endocrine disruptors (EDs).
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Affiliation(s)
- Arístides A Pochettino
- a Laboratorio De Toxicología Experimental , Facultad De Ciencias Bioquímicas Y Farmacéuticas, Universidad Nacional De Rosario , Rosario , Argentina and
| | - María Belén Hapon
- b Laboratorio De Reproducción Y Lactancia , IMBECU, CONICET, CCT CONICET Mendoza , Mendoza , Argentina
| | - Silvana M Biolatto
- a Laboratorio De Toxicología Experimental , Facultad De Ciencias Bioquímicas Y Farmacéuticas, Universidad Nacional De Rosario , Rosario , Argentina and
| | - María José Madariaga
- a Laboratorio De Toxicología Experimental , Facultad De Ciencias Bioquímicas Y Farmacéuticas, Universidad Nacional De Rosario , Rosario , Argentina and
| | - Graciela A Jahn
- b Laboratorio De Reproducción Y Lactancia , IMBECU, CONICET, CCT CONICET Mendoza , Mendoza , Argentina
| | - Cintia N Konjuh
- a Laboratorio De Toxicología Experimental , Facultad De Ciencias Bioquímicas Y Farmacéuticas, Universidad Nacional De Rosario , Rosario , Argentina and
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Cole T, Ahmed M, Preece M, Hindmarsh P, Dunger D. The relationship between Insulin-like Growth Factor 1, sex steroids and timing of the pubertal growth spurt. Clin Endocrinol (Oxf) 2015; 82:862-9. [PMID: 25418044 PMCID: PMC4949545 DOI: 10.1111/cen.12682] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 11/12/2014] [Accepted: 11/19/2014] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Progress through puberty involves a complex hormonal cascade, but the individual contributions of hormones, particularly IGF-1, are unknown. We reanalysed Chard growth study data to explore the tempo of puberty based on changes in both height and hormone levels, using a novel method of growth curve analysis. DESIGN AND SUBJECTS Schoolboys (n = 54) and girls (n = 70) from Chard, Somerset, England, recruited in 1981 at age 8/9 and followed to age 16. MEASUREMENTS Every 6 months, height and Tanner stages (genitalia, breast, pubic hair) were recorded, and in a subsample (24 boys, 27 girls), blood samples were taken. Serum IGF-1, testosterone (boys) and oestradiol (girls) were measured by radioimmunoassay. Individual growth curves for each outcome were analysed using variants of the super-imposition by translation and rotation (SITAR) method, which estimates a mean curve and subject-specific random effects corresponding to size, and age and magnitude of peak velocity. RESULTS The SITAR models fitted the data well, explaining 99%, 65%, 86% and 47% of variance for height, IGF-1, testosterone and oestradiol, respectively, and 69-88% for the Tanner stages. During puberty, the variables all increased steeply in value in individuals, the ages at peak velocity for the different variables being highly correlated, particularly for IGF-1 vs height (r = 0·74 for girls, 0·92 for boys). CONCLUSIONS IGF-1, like height, the sex steroids and Tanner stages, rises steeply in individuals during puberty, with the timings of the rises tightly synchronized within individuals. This suggests that IGF-1 may play an important role in determining the timing of puberty.
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Affiliation(s)
- T.J. Cole
- Population Policy and Practice ProgrammeUCL Institute of Child HealthLondonUK
| | - M.L. Ahmed
- Department of PaediatricsChildren's HospitalOxfordUK
| | - M.A. Preece
- Genetics and Genomic Medicine ProgrammeUCL Institute of Child HealthLondonUK
| | - P. Hindmarsh
- Developmental Endocrinology Research GroupUCL Institute of Child HealthLondonUK
| | - D.B. Dunger
- Department of PaediatricsUniversity of Cambridge School of Clinical MedicineCambridgeUK
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15
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Viner RM, Ross D, Hardy R, Kuh D, Power C, Johnson A, Wellings K, McCambridge J, Cole TJ, Kelly Y, Batty GD. Life course epidemiology: recognising the importance of adolescence. J Epidemiol Community Health 2015; 69:719-20. [PMID: 25646208 PMCID: PMC4515995 DOI: 10.1136/jech-2014-205300] [Citation(s) in RCA: 163] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Accepted: 12/21/2014] [Indexed: 11/30/2022]
Affiliation(s)
| | - David Ross
- London School of Hygiene & Tropical Medicine, London, UK
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | | | - Anne Johnson
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Kaye Wellings
- London School of Hygiene & Tropical Medicine, London, UK
| | | | - Tim J Cole
- UCL Institute of Child Health, London, UK
| | - Yvonne Kelly
- Department of Epidemiology & Public Health, University College London, London, UK
| | - G David Batty
- Department of Epidemiology & Public Health, University College London, London, UK
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16
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Cole TJ, Pan H, Butler GE. A mixed effects model to estimate timing and intensity of pubertal growth from height and secondary sexual characteristics. Ann Hum Biol 2014; 41:76-83. [PMID: 24313626 PMCID: PMC3877946 DOI: 10.3109/03014460.2013.856472] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Aim To estimate and compare pubertal growth timing and intensity in height, Tanner stage markers and testis volume. Subjects and methods Data on height, genital stage, breast stage and pubic hair stage, testis volume and menarche in 103 boys and 74 girls from the Edinburgh Longitudinal Growth Study were analysed. The SITAR model for height and a novel mixed effects logistic model for Tanner stage and testis volume provided estimates of peak velocity (PV, intensity) and age at peak velocity (APV, timing), both overall (from fixed effects) and for individuals (random effects). Results Based on the six markers, mean APV was 13.0–14.0 years in boys and 12.0–13.1 years in girls, with between-subject standard deviations of ∼1 year. PV for height was 8–9 cm/year by sex and for testis volume 6 ml/year, while Tanner stage increased by 1.2–1.8 stages per year at its peak. The correlations across markers for APV were 0.6–0.8 for boys and 0.8–0.92 for girls, very significantly higher for girls (p = 0.005). Correlations for PV were lower, −0.2–0.6. Conclusions The mixed effects models perform well in estimating timing and intensity in individuals across several puberty markers. Age at peak velocity correlates highly across markers, but peak velocity less so.
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Affiliation(s)
- T J Cole
- MRC Centre of Epidemiology for Child Health, UCL Institute of Child Health , London , UK and
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Identifying opportunities for cancer prevention during preadolescence and adolescence: puberty as a window of susceptibility. J Adolesc Health 2013; 52:S15-20. [PMID: 23601607 PMCID: PMC4037133 DOI: 10.1016/j.jadohealth.2012.09.019] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2012] [Revised: 09/14/2012] [Accepted: 09/18/2012] [Indexed: 12/29/2022]
Abstract
PURPOSE Early life exposures during times of rapid growth and development are recognized increasingly to impact later life. Epidemiologic studies document an association between exposures at critical windows of susceptibility with outcomes as diverse as childhood and adult obesity, timing of menarche, and risk for hypertension or breast cancer. METHODS This article briefly reviews the concept of windows of susceptibility for providers who care for adolescent patients. RESULTS The theoretical bases for windows of susceptibility is examined, evaluating the relationship between pubertal change and breast cancer as a paradigm, and reviewing the underlying mechanisms, such as epigenetic modification. CONCLUSIONS The long-term sequela of responses to early exposures may impact other adult morbidities; addressing these exposures represents an important challenge for contemporary medicine.
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18
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Rickard IJ. Serum IGF-I in middle age covaries with reproductive life-history traits in British men and women. Am J Hum Biol 2012; 24:495-505. [PMID: 22410945 DOI: 10.1002/ajhb.22255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2011] [Revised: 12/20/2011] [Accepted: 01/18/2012] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES The growth hormone/insulin-like growth factor-I (GH/IGF-I) axis may be an important component of individual life-history variation. This study examined whether IGF-I levels covary with reproductive life-history traits in a long-term British cohort study (the National Child Development Study). METHODS Using data on up to 5,252 individuals (2,431 men and 2,821 women) born in March 1958, relationships of serum IGF-I at age 45 with pubertal age, time to pregnancy (TTP), age at first reproduction (AFR), and lifetime reproductive success (LRS) were analyzed using general linear models. RESULTS IGF-I showed modest non-linear associations with pubertal age, being low in women who first menstruated, and men whose voice broke, in the oldest respective age categories. In women, but not men, IGF-I was negatively related to TTP. IGF-I was positively associated with AFR in both sexes and tended to be negatively related to LRS in women only. Some, but not all, relationships were attenuated after controlling for multiple potential confounders. CONCLUSION These results are consistent with the hypothesis that the GH/IGF-I axis partially underlies individual variance in reproductive outcomes, through either direct endocrine effects on reproductive function or behavior, indirect effects on other traits, or a combination of the above. Several limitations of this study include the late age at which blood samples were collected and the difficulty of disentangling social and biological factors contributing to the traits studied. Am. J. Hum. Biol., 2012. © 2012 Wiley Periodicals, Inc.
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Affiliation(s)
- Ian J Rickard
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom.
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Silventoinen K, Baker JL, Sørensen TIA. Growth in height in childhood and risk of coronary heart disease in adult men and women. PLoS One 2012; 7:e30476. [PMID: 22291964 PMCID: PMC3265486 DOI: 10.1371/journal.pone.0030476] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2011] [Accepted: 12/16/2011] [Indexed: 11/18/2022] Open
Abstract
Background Adult height is inversely associated with the risk of coronary heart disease (CHD), but it is still unknown which phase of the human growth period is critical for the formation of this association. We investigated the association between growth in height from 7 to 13 years of age and the risk of CHD in adulthood. Methods and Findings The heights of almost all children born 1930 through 1976 who attended school in the Copenhagen municipality (232,063 children) were measured annually from 7 to 13 years of age. Birth weight data were available since 1936. Fatal and non-fatal CHD events were ascertained by register linkage until 2008 (25,214 cases). Hazard ratios (HR) with 95% confidence intervals (CI) were estimated by Cox proportional hazards regression for height z-scores (standard deviation units) and change in height z-scores. Height z-scores were inversely related to the risk of CHD. The association was strongest at 7 years of age (HR = 0.91, CI 0.90–0.92 in boys and 0.88, CI 0.86–0.90 in girls) and steadily weakened thereafter, yet it still remained at 13 years of age (HR = 0.95, CI 0.94–0.97 and 0.91, CI 0.89–0.93, boys and girls respectively). The associations were not modified by birth weight. Independent of the age-specific risk, rapid growth was associated with an increased CHD risk, most pronounced between 9 and 11 years in girls (HR = 1.22, CI 1.14–1.31) and between 11 and 13 years in boys (HR = 1.28, CI 1.22–1.33) per unit increase in z-score. Adjustment for body mass index somewhat strengthened the associations of CHD risk with height and weakened the association with growth. Conclusions/Significance Risk of CHD in adulthood is inversely related to height at ages 7 through 13 years, but strongest in the youngest, and, independently hereof, the risk increased by growth velocity.
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Affiliation(s)
- Karri Silventoinen
- Population Research Unit, Department of Social Research, University of Helsinki, Helsinki, Finland.
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Alberti C, Chevenne D, Mercat I, Josserand E, Armoogum-Boizeau P, Tichet J, Léger J. Serum Concentrations of Insulin-like Growth Factor (IGF)-1 and IGF Binding Protein-3 (IGFBP-3), IGF-1/IGFBP-3 Ratio, and Markers of Bone Turnover: Reference Values for French Children and Adolescents and z-Score Comparability with Other References. Clin Chem 2011; 57:1424-35. [DOI: 10.1373/clinchem.2011.169466] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND
A reference model for converting serum growth factor and bone metabolism markers into an SD score (SDS) is required for clinical practice. We aimed to establish reference values of serum insulin-like growth factor-1 (IGF-1) and IGF binding protein 3 (IGFBP-3) concentrations and bone metabolism markers in French children, to generate a model for converting values into SDS for age, sex, and pubertal stage.
METHODS
We carried out a cross-sectional study of 1119 healthy white children ages 6–20 years. We assessed concentrations of serum IGF-1, IGFBP-3, carboxyterminal telopeptide α1 chain of type I collagen (CrossLaps), and bone alkaline phosphatase concentrations and height, weight, and pubertal stage, and used semiparametric regression to develop a model.
RESULTS
A single regression model to calculate the SDSs with an online calculator was provided. A positive relationship was found between SDS for serum IGF-1 and IGFBP-3, IGF/IGFBP-3 mol/L ratio, and anthropometric parameters (P < 0.0001), with slightly greater effects observed for height than for body mass index (BMI). There was a negative relationship between serum CrossLaps concentration and BMI, and a positive relationship between serum CrossLaps concentration and height. A comparison of serum IGF-1 reference databases for children showed marked variation as a function of age and pubertal group; smooth changes with age and puberty were observed only in our model.
CONCLUSIONS
This new model for the assessment of SDS reference values specific for age, sex, and pubertal stage may help to increase the diagnostic power of these parameters for the assessment of growth and bone metabolism disorders. This study also provides information about the physiological role of height and BMI for the interpretation of these parameters.
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Affiliation(s)
- Corinne Alberti
- INSERM, CIC-EC CIE5, Paris, France
- Assistance Publique-Hôpitaux de Paris, Hôpital Robert Debré, Unité d'Epidémiologie Clinique, Paris, France
- Université Paris Diderot, Paris, France
| | - Didier Chevenne
- Assistance Publique-Hôpitaux de Paris, Hôpital Robert Debré, Service de Biochimie-Hormonologie, Paris, France
| | | | - Emilie Josserand
- Assistance Publique-Hôpitaux de Paris, Hôpital Robert Debré, Unité d'Epidémiologie Clinique, Paris, France
| | - Priscilla Armoogum-Boizeau
- Assistance Publique-Hôpitaux de Paris, Hôpital Robert Debré, Unité d'Epidémiologie Clinique, Paris, France
| | - Jean Tichet
- Regional Institute for Health, Tours, France
| | - Juliane Léger
- Université Paris Diderot, Paris, France
- Assistance Publique-Hôpitaux de Paris, Hôpital Robert Debré, Service d'Endocrinologie Pédiatrique, Paris, France
- Assistance Publique-Hôpitaux de Paris, Centre de Référence des Maladies Endocriniennes Rares de la Croissance, Paris, France
- INSERM, UMR 676, Paris, France
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Lorentzon M, Norjavaara E, Kindblom JM. Pubertal timing predicts leg length and childhood body mass index predicts sitting height in young adult men. J Pediatr 2011; 158:452-7. [PMID: 20961561 DOI: 10.1016/j.jpeds.2010.09.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2010] [Revised: 08/12/2010] [Accepted: 09/02/2010] [Indexed: 01/26/2023]
Abstract
OBJECTIVE To investigate the impact of pubertal timing and childhood body mass index (BMI), both within normal range, on adult anthropometrics. STUDY DESIGN Detailed growth charts were retrieved for the men participating in the population-based Gothenburg Osteoporosis and Obesity Determinants study. Age at peak height velocity and childhood BMI were calculated (n = 527), and anthropometric measurements were performed. RESULTS Analysis of variance analysis of tertiles according to age at peak height velocity demonstrated that the early peak height velocity tertile had a lower adult height (180.9 ± 6.8 cm) compared with the middle tertile group (182.7 ± 6.9 cm, P < .05), and this difference was attributable to shorter leg length. No difference was seen for sitting height. In contrast, analysis of tertiles according to childhood BMI demonstrated low sitting height in the low BMI tertile (93.7 ± 3.3 cm for low, 94.6 ± 3.3, for middle, and 94.8 ± 3.3 cm for high childhood BMI tertiles, P < .05 and P < .01, respectively), but childhood BMI did not affect adult height and leg length. CONCLUSION We demonstrate that subjects with early pubertal timing have reduced adult height and leg length, and subjects with low childhood BMI have reduced adult sitting height. Thus childhood body composition and pubertal timing have different impact on trunk growth and growth of long bones.
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Affiliation(s)
- Mattias Lorentzon
- Center for Bone and Arthritis Research, Institute of Medicine, The Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
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Cole TJ, Donaldson MDC, Ben-Shlomo Y. SITAR--a useful instrument for growth curve analysis. Int J Epidemiol 2010; 39:1558-66. [PMID: 20647267 PMCID: PMC2992626 DOI: 10.1093/ije/dyq115] [Citation(s) in RCA: 207] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background Growth curve analysis is a statistical issue in life course epidemiology. Height in puberty involves a growth spurt, the timing and intensity of which varies between individuals. Such data can be summarized with individual Preece–Baines (PB) curves, and their five parameters then related to earlier exposures or later outcomes. But it involves fitting many curves. Methods We present an alternative SuperImposition by Translation And Rotation (SITAR) model, a shape invariant model with a single fitted curve. Curves for individuals are matched to the mean curve by shifting their curve up–down (representing differences in mean size) and left–right (for differences in growth tempo), and the age scale is also shrunk or stretched to indicate how fast time passes in the individual (i.e. velocity). These three parameters per individual are estimated as random effects while fitting the curve. The outcome is a mean curve plus triplets of parameters per individual (size, tempo and velocity) that summarize the individual growth patterns. The data are heights for Christ’s Hospital School (CHS) boys aged 9–19 years (N = 3245, n = 129 508), and girls with Turner syndrome (TS) aged 9–18 years from the UK Turner Study (N = 105, n = 1321). Results The SITAR model explained 99% of the variance in both datasets [residual standard deviation (RSD) 6–7 mm], matching the fit of individually-fitted PB curves. In CHS, growth tempo was associated with insulin-like growth factor-1 measured 50 years later (P = 0.01, N = 1009). For the girls with TS randomized to receive oxandrolone from 9 years, velocity was substantially increased compared with placebo (P = 10−8). Conclusions The SITAR growth curve model is a useful epidemiological instrument for the analysis of height in puberty.
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Affiliation(s)
- Tim J Cole
- MRC Centre of Epidemiology for Child Health, UCL Institute of Child Health, London, UK.
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Zumbado M, Luzardo OP, Lara PC, Alvarez-León EE, Losada A, Apolinario R, Serra-Majem L, Boada LD. Insulin-like growth factor-I (IGF-I) serum concentrations in healthy children and adolescents: relationship to level of contamination by DDT-derivative pesticides. Growth Horm IGF Res 2010; 20:63-67. [PMID: 19699127 DOI: 10.1016/j.ghir.2009.07.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2009] [Revised: 07/13/2009] [Accepted: 07/21/2009] [Indexed: 11/16/2022]
Abstract
CONTEXT Serum levels of Insulin-like growth factor I (IGF-I) play a critical role in children growth and in the pathogenesis of several diseases. In addition, recent studies suggest that DDT-derivative organochlorine pesticides (OC-DDTs) could influence IGF levels in human beings. OBJECTIVE AND DESIGN Because it has been suggested that IGF-I peak levels at puberty could determine IGF-I levels in adulthood, we developed a cross-sectional study of the potential association between serum levels of OC-DDTs and IGF system in 160 serum samples from young people (81 boys and 79 girls) living in the Canary Islands (Spain). RESULTS Multivariate tests were used adjusting for confounding variables (age, height, and weight) and stratifying by gender and age: IGF-I serum levels were significantly lower in pre-pubertal male children (6-15years) who showed detectable values of p,p'-DDE, and p,p'-DDD than in pre-pubertal male children with undetectable levels of these OC-DDTs-metabolites (p=0.023 and p=0.049, respectively). In addition, in this multivariate model, a non-linear dose-response curve was observed between Total DDT body burden (sum of the three DDT-derivatives measured: p,p'-DDT, p,p'-DDE, and p,p'-DDD) and IGF-I in pre-pubertal male children (6-15years; p=0.043). CONCLUSION These findings suggest that OC-DDTs could modulate the IGF-system in a way that is highly influenced by gender and age. Improvements in our understanding of exogenous determinants of the IGF-system may provide new insights into the role played by environmental contaminants in IGF-related diseases.
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Affiliation(s)
- Manuel Zumbado
- Toxicology Unit, Department of Clinical Sciences, University of Las Palmas de Gran Canaria and Instituto Canario de Investigación del Cáncer (ICIC), P.O. Box 550, 35080 Las Palmas de Gran Canaria, Spain
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Casazza K, Higgins PB, Fernández JR, Goran MI, Gower BA. Longitudinal analysis of the insulin-like growth factor system in African-American and European American children and adolescents. J Clin Endocrinol Metab 2008; 93:4917-23. [PMID: 18782874 PMCID: PMC2626444 DOI: 10.1210/jc.2008-0999] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT IGF-I and its binding proteins influence growth, development, and disease risk. Studies have revealed ethnic variations in the IGF system. OBJECTIVE This longitudinal study was undertaken to test the hypothesis that the ethnic differences in the IGF system exist throughout the pubertal transition, and these differences are mediated at least in part by inherent differences in insulin dynamics. DESIGN This was a longitudinal study. Annual evaluations were conducted for pubertal maturation, body composition, acute insulin response to glucose (AIRg), and reproductive-endocrine profile. Hormones and binding proteins were determined using standard assays, the AIRg during a frequently sampled iv glucose tolerance test, and body composition by dual-energy x-ray absorptiometry. Mixed model analyses were used to identify and characterize ethnic differences in the IGF system across the pubertal transition after adjusting for ethnicity, sex, age, maturation status, body composition, and reproductive hormones, and to identify the contribution of insulin to IGF binding protein (IGFBP)-1. PARTICIPANTS Subjects included African-American (AA) and European American children (n = 162 at baseline) aged 7-16 yr, evaluated across the pubertal transition. MAIN OUTCOME MEASURES Annual data on IGF-I, IGFBP-1, and IGFBP-3 were examined. RESULTS IGF-I was higher in AA children at pubertal stage 1 only (P < 0.001). However, IGFBP-3 and IGFBP-1 concentrations were lower in AAs through much of puberty (P < 0.05). The lower IGFBP-1 of AAs was in part explained by greater AIRg. CONCLUSIONS Our data suggest that the higher IGF-I and lower IGFBP-1 and IGFBP-3 levels in AAs as compared with European Americans during puberty suggest potential ethnic differences in circulating bioavailable IGF-I. In addition, higher AIRg in AAs may lead to greater bioavailable IGF-I. Whether these differences in the IGF system account for disparities in disease risk warrants further investigation.
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Affiliation(s)
- Krista Casazza
- Department of Nutrition Sciences, 1675 University Boulevard, Room WEBB 415, University of Alabama at Birmingham, Birmingham, Alabama 35294-3360, USA.
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Troisi R, Potischman N, Hoover RN. Exploring the underlying hormonal mechanisms of prenatal risk factors for breast cancer: a review and commentary. Cancer Epidemiol Biomarkers Prev 2007; 16:1700-12. [PMID: 17855685 DOI: 10.1158/1055-9965.epi-07-0073] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Prenatal factors have been hypothesized to influence subsequent breast cancer development. Directly evaluating the associations of in utero exposures with risk, however, presents several methodologic and theoretical challenges, including the long induction period between exposure and disease and the lack of certainty regarding the critical timing of exposure. Indirect evaluation of these associations has been achieved by use of proxies such as gestational and neonatal characteristics. Evidence suggests that preeclampsia is associated with a reduced breast cancer risk, whereas high birth weight and dizygotic twinning seem associated with an increased risk. Asians born in Asia have substantially lower breast cancer risks than women born in the West. Although data thus far are few, what exists is not consistent with a unifying hypothesis for a particular biological exposure (such as estrogens or androgens) during pregnancy as mediating the observed associations between pregnancy factors and breast cancer risk. This suggests that additional studies of prenatal factors should seek to broaden the range of hormones, growth, and other endocrine factors that are evaluated in utero. Once candidate biomarkers are identified, assessing them with respect to breast cancer and with intermediate end points in carcinogenesis should be a priority. In addition, investigations should explore the possibility that in utero exposures may not act directly on the breast, but may alter other physiologic pathways such as hormone metabolism that have their effect on risk later in life.
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Affiliation(s)
- Rebecca Troisi
- Room 854, Dartmouth-Hitchcock Medical Center, 7297 Rubin Building, One Medical Center Drive, Lebanon, NH 03756, USA.
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Ben-Shlomo Y. Rising to the challenges and opportunities of life course epidemiology. Int J Epidemiol 2007; 36:481-3. [PMID: 17675305 DOI: 10.1093/ije/dym116] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Tu YK, Manda SOM, Ellison GTH, Gilthorpe MS. Revisiting the interaction between birth weight and current body size in the foetal origins of adult disease. Eur J Epidemiol 2007; 22:565-75. [PMID: 17641977 DOI: 10.1007/s10654-007-9159-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2006] [Accepted: 06/05/2007] [Indexed: 11/29/2022]
Abstract
The four models proposed for exploring the foetal origins of adult disease (FOAD) hypothesis use the product term between size at birth and current size to determine the relative importance of pre- and post-natal growth on disease in later life. This is a common approach for testing the interaction between an exposure (in this instance size at birth) and an effect modifier (in this instance current size)--incorporating the product term obtained by multiplying the exposure and effect modifier variables within a statistical regression model. This study examines the mathematical basis for this approach and uses computer simulations to demonstrate two potential statistical flaws that might generate misleading findings. The first of these is that the expected value of the partial regression coefficient for the product term (between exposure and effect modifier) will be zero when the outcome, exposure and effect modifier are all continuously distributed and follow a multivariate normal distribution. This is because testing the product interaction term amounts to testing for multivariate normality among the three variables, irrespective of the pair-wise correlations amongst them. The second flaw is that it is possible to generate a statistically significant interaction between exposure and effect modifier, even when none exists, simply by categorising either or both of these variables. These flaws pose a serious challenge to the four models approach proposed for exploring the FOAD hypothesis. The interaction between exposure and effect modifier variables should be interpreted with caution both here and elsewhere in epidemiological analyses.
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Affiliation(s)
- Yu-Kang Tu
- Biostatistics Unit, Centre for Epidemiology & Biostatistics, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, 30/32 Hyde Terrace, Leeds LS2 9LN, UK.
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Cole TJ, Cortina-Borja M, Sandhu J, Kelly FP, Pan H. Nonlinear growth generates age changes in the moments of the frequency distribution: the example of height in puberty. Biostatistics 2007; 9:159-71. [PMID: 17575323 DOI: 10.1093/biostatistics/kxm020] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Higher moments of the frequency distribution of child height and weight change with age, particularly during puberty, though why is not known. Our aims were to confirm that height skewness and kurtosis change with age during puberty, to devise a model to explain why, and to test the model by analyzing the data longitudinally. Heights of 3245 Christ's Hospital School boys born during 1927-1956 were measured twice termly from 9 to 20 years (n=129508). Treating the data as independent, the mean, standard deviation (SD), skewness, and kurtosis were calculated in 40 age groups and plotted as functions of age t. The data were also analyzed longitudinally using the nonlinear random-effects growth model H(t)=h(t-epsilon )+alpha, with H(t) the cross-sectional data, h(t) the individual mean curve, and epsilon and alpha subject-specific random effects reflecting variability in age and height at peak height velocity (PHV). Mean height increased monotonically with age, while the SD, skewness, and kurtosis changed cyclically with, respectively, 1, 2, and 3 turning points. Surprisingly, their age curves corresponded closely in shape to the first, second, and third derivatives of the mean height curve. The growth model expanded as a Taylor series in epsilon predicted such a pattern, and the longitudinal analysis showed that adjusting for age at PHV on a multiplicative scale largely removed the trends in the higher moments. A nonlinear growth process where subjects grow at different rates, such as in puberty, generates cyclical changes in the higher moments of the frequency distribution.
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Affiliation(s)
- Tim J Cole
- Centre for Paediatric Epidemiology and Biostatistics, UCL Institute of Child Health, London WC1N 1EH, UK.
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