| Summary: | 碩士 === 國防醫學院 === 公共衛生學研究所 === 98 === Background
Androgenetic alopecia (AGA) is a complex disease, which is one of most common types of hair loss and a progressive hair losing. Androgenetic alopecia (AGA) is associated to many kinds of chronic diseases and estimated to affect 40-50% of adult men and women who are also suffered by psychologically detrimental and negative body-image perception. Moreover, AGA-related treatments are a major player in the pharmaceutical economics. However, there was no study published about all factors of genetics, environment exposure and life style. The more comprehensive AGA–associated factors of life style, environmental exposures and pathogenic nucleotide polymorphisms were investigated in the study.
Methods and Materials
The study population in this study selected the residents who living in Taichung County for five years with a population household registry of Taichung County at that time, and eligible samples that were selected according to their age, the move-in date and the residence place of Township. We mailed a questionnaire and informed consent to each participant, and then recalled the questionnaires, informed consent, and with informed consent took scalp photos and blood sample by public health nurses in the local public health center in a specific day. A health screening process was done to ensure the health of the participant.
We divided the region of air pollution into the exposed area and non-exposed area, in addition to we took the venous blood sample for a measurement of heavy metals in the used of ICP-MASS. Genotyping was performed using TaqMan® Assays commercially available Pre-made TaqMan® Genotyping assays.
The data of environmental exposure and life style were drawn from the questionnaire during the cross-sectional step. Collection for genetic polymorphisms was a matched case-control study. Age, villages, and smoking status are matched. Genetic analysis was used gene counting method to estimate the genotype frequencies of single nucleotide polymorphism. Genotype frequencies of samples were tested with Hardy-Weinberg equilibrium.
We would estimate odds ratios of AGA–associated factors using multiple logistic regression analyses, and adjust the confounding factors. The statistical software SPSS ver. 16.0 was used to analyze the data.
Results
The personal characteristics of sleeping hours, oily scalp and consuming soy milk were significantly different between 2 groups of AGA I-III and IV-VII, adjusting age and family AGA. The blood vanadium concentration was significantly different between 2 groups of AGA I-III and IV-VII, adjusting age, family AGA and other 10 concentrations of blood metals. The mutant allele of SNP rs1998076 was protective effect with odds ratio (OR) 0.52 [95% CI, 0.31–0.85] to AGA. Other SNPs (rs913063, rs1160312 and rs201571) were risk with ORs 1.67 (1.05-2.65), 1.71 (1.08-2.71) and 1.87 (1.17-2.98), respectively. The haplotypes ACG and GTA of rs1998076, rs201571 and rs1160312 were significantly different from the wild type GCG. Meanwhile, comparing to GCG, ACG was protective OR 0.62 (0.41-0.93) and GTA was risk OR 1.48 (1.01-2.17).
Conclusion
The present study is the first inclusive attempt to estimate multiple factors of AGA in Taiwanese men. Results of the study determine 4 factors of consuming soy milk, blood vanadium, SNP rs1160312 and family AGA by matching age, which can correspond to environmental, life.
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