OBJECTIVETo investigate the relationship of associating mitochondrial DNA 12S rRNA gene mutations with non-syndromic and aminoglycoside-induced hearing loss happening to Chinese families.

METHODSThe diagnosis was validated by hearing tests. Blood samples were collected from 20 family members (13 subjects from pedigree A and 7 from pedigree B) and 32 sporadic deafness cases. DNA was extracted from the leukocytes in blood samples. The gene fragments of mitochondrial DNA 12S rRNA, tRNA(Ser(UCN)) and GJB(2) were amplified by polymerase chain reaction (PCR). PCR products were analyzed by sequencing.

RESULTSThe target gene fragments of all individuals were successfully amplified by PCR. The mitochondrial DNA 12S rRNA 827 A to G transition was detected from all maternal members including 12 patients with hearing loss, which was the homoplasmic mutation. Non-maternal members in two pedigrees did not carry this mutation. However, the tRNA(Ser(UCN)) A7445G, 12SrRNA A1555G and GJB2 gene mutations were not found from both the family members of two pedigrees and sporadic patients. One sporadic individual (1/32) who was diagnosed as aminoglycoside-induced hearing impairment carried A827G mutation too.

CONCLUSIONIt is confirmed that the mitochondrial DNA 12S rRNA gene is a hot spot for mutations associated with non-syndromic inherited hearing loss. The 12S rRNA nt827 A to G mutation may play a pivotal role in the pathogenesis of hearing impairment in two Chinese pedigrees.

Adolescent ; Base Sequence ; Child ; Child, Preschool ; Connexin 26 ; Connexins ; genetics ; DNA Mutational Analysis ; DNA, Mitochondrial ; chemistry ; genetics ; Deafness ; genetics ; Female ; Genetic Predisposition to Disease ; genetics ; Humans ; Male ; Pedigree ; Point Mutation ; Polymerase Chain Reaction ; RNA, Ribosomal ; genetics

OBJECTIVETo investigate the prevalence of hearing impairment and ear diseases in old people and provide scientific data for drawing up the prevention and treatment strategies.

METHODSUsing the probability proportion to size (PPS) method, 1261 people over 60 years were investigated in 40 clusters in Jiangsu Province with the WHO protocol.

RESULTSThe prevalence of hearing impairment was 58.1% (the standardized rate: 59.5% in the whole country, 60.9% in Jiangsu province). Degrees of hearing impairment were mild (33.1%), moderate (17.8%), severe (5.9%) and profound (1.3%). The prevalence of hearing disability was 25.0% (the standardized rate: 26.6% in the whole country, 28.1% in Jiangsu province). There were significant difference of the prevalence between male and female, as well as urban and rural, and different ages. The prevalence of the ear diseases was auricle malformation (0.2%), wax (1.7%), otitis externa (0.1%), fungi (0.5%), serous otitis media (1.2%), chronic suppurative otitis media (1.6%), dry perforation of tympanic membrance (2.3%). The causes of hearing impairment were ear diseases (2.9%), non-infectious condition (92.6%), genetic condition (0.3%) and undetermined causes (4.2%). Of which, 31.1% of persons needed hearing aids while 2.3% of persons needed medicine treatment, but 0.9% of persons needed non-urgent surgery and 1.0% of persons needed other treatment.

CONCLUSIONSThe prevalence of hearing impairment and disability in the old rised obviously than the last investigation in 1987. It was a heavy burden for social development in China. The government and the whole society should take more concern about the problem. The scientific strategies of prevention and treatment were urgently needed and implemented.

Aged ; Aged, 80 and over ; Audiometry, Pure-Tone ; China ; epidemiology ; Ear Diseases ; epidemiology ; Female ; Hearing Loss ; epidemiology ; Humans ; Male ; Middle Aged ; Prevalence

Objective: To understand the relationship between female breast cancer and occupational risk factors in Beijing, and provide scientific basis for the formulation of prevention strategies and measures. Methods: From June to December 2019, A 1: 1 case-control study was adopted, eight medical institutions in Beijing were selected as the research objects. Patients with breast cancer diagnosed by medical institutions were selected as case group and non breast cancer patients in the same medical institution as control group. A total of 973 subjects were included, including 495 in the case group and 478 in the control group. A one-to-one survey was conducted using a questionnaire uniformly compiled by the Beijing Centers for Disease Control and Prevention. The survey content mainly includes basic demographic characteristics and occupational risk factors. The Trait Coping Style Questionnaire (TCSQ) was used to investigate the corresponding methods, including two aspects: positive coping and negative coping. First, chi square test or Wilcoxon rank sum test were used for univariate analysis. Then Lasso regression was used to screen the risk factors of breast cancer. Finally, the risk factors were screened by multivariate logistic regression analysis. Results: Education lovel was 49.64%, body mass index (BMI) was 18.4~23.9 kg/m(2), accounting for 48.82%, marital status ws 84.48%. Compared with no night shift history, there was a significant increase in risk of breast cancer at night shift history (OR=1.70, 95% CI: 1.25~2.30, P<0.05) . Compared with most of the sitting posture and sometimes standing, the risk of breast cancer was increased, and the difference was statistically significant (OR=2.01, 95%CI: 1.40~2.90, P<0.05) . Conclusion: In the occupation risk factors, night shift work and working posture are related to the incidence of breast cancer in women, establishing a good schedule and avoiding long standing can effectively prevent and reduce the occurrence of breast cancer.
Beijing ; Breast Neoplasms/epidemiology* ; Case-Control Studies ; Female ; Humans ; Logistic Models ; Risk Factors

Lu Dangshen is the geoherb in Shanxi Province. The content of Codonopsis pilosula polysaccharides (CPP) in Lu Dangshen is more than that in other Codonopsis Radix from other regions. Glycosyltransferase is the key enzyme for the synthesis of bioactive components, such as CPP and tangshenoside I. Based on the transcriptome data of C. pilosula [Codonopsis pilosula (Franch.) Nannf.] from different producing areas, this study carried out functional annotation of GO and KEGG, conservative domain analysis, phylogenetic tree analysis and expression pattern analysis of glycosyltransferase genes in C. pilosula to provides a theoretical basis for exploring the mechanism of genuineness formation in Lu Dangshen. In this study, 98 glycosyltransferase genes were screened and identified, which belonged to GT family 1, GT family 2, GT family 90 and other families. By GO functional annotation, it was found that most of the glycosyltransferase genes had catalytic activity. Analysis of KEGG functional annotation showed that C. pilosula glycosyltransferase was mainly involved in glycan organism and terpenoid and polyketone metabolism. Among them, conserved domain of 42 glycosyltransferase genes in GT family 1 was [X]-W-[2X]-Q-[3X]-[LH]-[5X]-[FLTHCGWNS]-[2X]-E-[4X]-[GVP]-[4X]-P-[4X]-Q-[2X]-[NAK]. Phylogenetic tree analysis based on the glycosyltransferase sequence in Arabidopsis thaliana showed that C. pilosula glycosyltransferases were mainly located in Arabidopsis thaliana UGT73, 72 and 85 branches. Gene expression pattern analysis showed that expression of CpUGT73AH2 was higher in Lu Dangshen than that in Baitiaodang and could respond to drought and low temperature stress. In conclusion, a glycosyltransferase gene CpUGT73AH2, which is involved in the metabolism of terpenoids and polyketides and can respond to environmental stress, was screened from the C. pilosula glycosyltransferase family 1, which was used to further study the role of C. pilosula glycosyltransferase in Lu Dangshen. It laid a theoretical foundation for further study on the role of C. pilosula glycosyltransferase in the formation of Lu Dangshen.

Adaptation, Psychological ; Adult ; Age Factors ; Aged ; Beijing/epidemiology* ; Breast Neoplasms/psychology* ; Case-Control Studies ; Educational Status ; Female ; Humans ; Middle Aged ; Risk Factors