Occupational beryllium exposure: Reconciling federal policies, regulations and contractor implementation guides to protect worker health

Beryllium is a widely distributed, highly toxic metal. When beryllium particulates enter the body, the body's defense mechanisms are engaged. When the body's defenses cannot easily remove the particulates, then a damage and repair cycle is initiated. This cycle produces chronic beryllium disease (CBD), a progressive, fibrotic respiratory involvement which eventually suffocates exposed individuals. ^ Beryllium disease is an occupational disease, and as such it can be prevented by limiting exposures. In the 1940s journalists reported beryllium deaths at Atomic Energy Commission (AEC) facilities, the Department of Energy's (DOE) predecessor organization. These reports energized public pressure for exposure limits, and in 1949 AEC implemented a 2 μg/m3 permissible exposure limit (PEL). ^ The limits appeared to stop acute disease. In contrast, CBD has a long latency period between exposure and diagnosable disease, between one and thirty years. The lack of immediate adverse health consequences masked the seriousness of chronic disease and pragmatically removed CBD from AEC/DOE's political concern. ^ Presently the PEL for beryllium at DOE sites remains at 2 μg/m 3. This limit does not prevent CBD. This conclusion has long been known, although denied until recently. In 1999 DOE acknowledged the limit's ineffectiveness in its federal regulation governing beryllium exposure, 10 CFR 850. ^ Despite this admission, the PEL has not been reduced. The beryllium manufacturer and AEC/DOE have a history of exerting efforts to maintain and protect the status quo. Primary amongst these efforts has been creation and promotion of disinformation within peer reviewed health literature which discusses beryllium, exposures, health effects and treatment, and targeting graduate school students so that their perspective is shaped early. ^ Once indoctrinated with incorrect information, professionals tend to overlook aerosol and respiratory mechanics, immunologic and carcinogenic factors. They then apply tools and perspectives derived from the beryllium manufacturer and DOE's propaganda. Conclusions drawn are incorrect. The result is: health research and associated policy is conducted with incorrect premises. Effective disease management practices are not implemented. ^ Public health protection requires recognition of the disinformation and its implications. When disinformation is identified, then effective health policies and practices can be developed and implemented. ^

Longitudinal and logistic analysis of endocrine hormone profiles, physical maturation, and candidate genes related to pubertal events in children

Children who experience early pubertal development have an increased risk of developing cancer (breast, ovarian, and testicular), osteoporosis, insulin resistance, and obesity as adults. Early pubertal development has been associated with depression, aggressiveness, and increased sexual prowess. Possible explanations for the decline in age of pubertal onset include genetics, exposure to environmental toxins, better nutrition, and a reduction in childhood infections. In this study we (1) evaluated the association between 415 single nucleotide polymorphisms (SNPs) from hormonal pathways and early puberty, defined as menarche prior to age 12 in females and Tanner Stage 2 development prior to age 11 in males, and (2) measured endocrine hormone trajectories (estradiol, testosterone, and DHEAS) in relation to age, race, and Tanner Stage in a cohort of children from Project HeartBeat! At the end of the 4-year study, 193 females had onset of menarche and 121 males had pubertal staging at age 11. African American females had a younger mean age at menarche than Non-Hispanic White females. African American females and males had a lower mean age at each pubertal stage (1-5) than Non-Hispanic White females and males. African American females had higher mean BMI measures at each pubertal stage than Non-Hispanic White females. Of the 415 SNPs evaluated in females, 22 SNPs were associated with early menarche, when adjusted for race ( p<0.05), but none remained significant after adjusting for multiple testing by False Discovery Rate (p<0.00017). In males, 17 SNPs were associated with early pubertal development when adjusted for race (p<0.05), but none remained significant when adjusted for multiple testing (p<0.00017). ^ There were 4955 hormone measurements taken during the 4-year study period from 632 African American and Non-Hispanic White males and females. On average, African American females started and ended the pubertal process at a younger age than Non-Hispanic White females. The mean age of Tanner Stage 2 breast development in African American and Non-Hispanic White females was 9.7 (S.D.=0.8) and 10.2 (S.D.=1.1) years, respectively. There was a significant difference by race in mean age for each pubertal stage, except Tanner Stage 1 for pubic hair development. Both Estradiol and DHEAS levels in females varied significantly with age, but not by race. Estradiol and DHEAS levels increased from Tanner Stage 1 to Tanner Stage 5.^ African American males had a lower mean age at each Tanner Stage of development than Non-Hispanic White males. The mean age of Tanner Stage 2 genital development in African American and Non-Hispanic White males was 10.5 (S.D.=1.1) and 10.8 (S.D.=1.1) years, respectively, but this difference was not significant (p=0.11). Testosterone levels varied significantly with age and race. Non-Hispanic White males had higher levels of testosterone than African American males from Tanner Stage 1-4. Testosterone levels increased for both races from Tanner Stage 1 to Tanner Stage 5. Testosterone levels had the steepest increase from ages 11-15 for both races. DHEAS levels in males varied significantly with age, but not by race. DHEAS levels had the steepest increase from ages 14-17. ^ In conclusion, African American males and females experience pubertal onset at a younger age than Non-Hispanic White males and females, but in this study, we could not find a specific gene that explained the observed variation in age of pubertal onset. Future studies with larger study populations may provide a better understanding of the contribution of genes in early pubertal onset.^