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1.
Biotechnol Genet Eng Rev ; : 1-12, 2023 May 02.
Article in English | MEDLINE | ID: mdl-37130242

ABSTRACT

This study aimed to evaluate the effects of soybean, selenium and spirulina on bone metabolic factors in rats with combined fluoride and aluminum poisoning.Methods:Sixty SD rats were allocated to five groups: A control group, a high-fluoride aluminum group, a high-fluoride aluminum plus soybean group, a high-fluoride aluminum plus selenium group, and a high-fluoride aluminum plus spirulina group. Serum samples were collected and radioimmunoassay (RIA) was used to measure osteocalcin (BGP), calcitonin (CT), parathyroid hormone (PHT) and insulin growth factor I (IGF-1) levels after 90 and 165 days of intervention. 1. When comparing the serum BGP level in the high-fluorine aluminum plus selenium group with the high-fluorine aluminum group, suggesting that the addition of selenium intervention was beneficial in reducing the effect of high-fluorine aluminum on bone homeostasis. 2. After 90 days and 165 days, the difference in serum CT levels between the intervention group and the control group was not statistically significant, suggesting an effect of the intervention factors.3. After 90 days of exposure, the three intervention groups had lower serum PTH levels (p < 0.00), inferring the efficacy of the interventions.4. After 90 days, serum IGF-1 levels were elevated in the Spirulina group compared with the high-fluorinated aluminum group, and the difference was statistically significant, suggesting that the addition of Spirulina intervention may counteract the inhibition of bone growth by high-fluorinated aluminum. The intervention of soybean, selenium, and spirulina can counterbalance the effects of fluoride and aluminum on bone metabolism and slow down the process of bone turnover.

2.
J Environ Public Health ; 2009: 969764, 2009.
Article in English | MEDLINE | ID: mdl-20041010

ABSTRACT

OBJECTIVES: We assess the prevalence and pathogenic stage of skeletal fluorosis among children and adolescents residing in a severe coal-burning endemic fluorosis area of southwest China. METHODS: We used a cross-sectional design. A total of 1,616 students aged between 7 and 16 years in Zhijin County, Guizhou, China in late 2004 were selected via a cluster sampling of all 9-year compulsory education schools to complete the study questionnaire. Any student lived in a household that burned coal, used an open-burning stove, or baked foodstuffs over a coal stove was deemed high-risk for skeletal fluorosis. About 23% (370) of students (188 boys, 182 girls) were identified as high-risk and further examined by X-ray. RESULTS: One-third of the 370 high-risk participants were diagnosed with skeletal fluorosis. Overall prevalence of child skeletal fluorosis due to indoor burning of coal was 7.5%. Children aged 12-16 years were significantly more likely to be diagnosed with skeletal fluorosis than children aged 7-11 years (OR = 1.84, 95% CI: 1.17-2.90; P = .0082). Four types of skeletal fluorosis were identified: constrictive (60.7%), raritas (15.6%), mixed (16.4%), and soft (7.4%). Most diagnosed cases (91%) were mild or moderate in severity. In addition, about 97% of 370 high-risk children were identified with dental fluorosis. Dental fluorosis was highly correlated with skeletal fluorosis in this study. CONCLUSIONS: Skeletal fluorosis among children may contribute to poor health and reduced productivity when they reach adulthood. Further efforts to reduce fluoride exposure among children in southwestern of China where coal is burned indoors are desperately needed.


Subject(s)
Air Pollution, Indoor/adverse effects , Coal/adverse effects , Fluorosis, Dental/epidemiology , Osteosclerosis/epidemiology , Adolescent , Age Distribution , Bone Resorption , Child , China/epidemiology , Cluster Analysis , Cross-Sectional Studies , Female , Fluorosis, Dental/diagnostic imaging , Humans , Male , Odds Ratio , Osteosclerosis/chemically induced , Osteosclerosis/diagnostic imaging , Prevalence , Radiography , Rural Population/statistics & numerical data , Severity of Illness Index , Sex Distribution
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