Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

OBJECTIVES: This study aimed to investigate the association between temporomandibular disorder (TMD) and insomnia using a two-sample Mendelian randomization (MR) approach. METHODS: Bidirectional MR analyses of two samples, TMD (n=377 277) and insomnia (n=375 359), were performed using genome-wide association study statistics published in the FinnGen database. Instrumental variables were first screened, and then inverse variance weighting (IVW) and MR-Egger were used as the main-effect assessment methods. Weighted median, weighted mode, and simple mode served as supplementary methods. We used IVW and MR-Egger to test for heterogeneity, as well as MR-Egger intercepts to assess the single nucleotide polymorphism (SNP) potential level of multiplicity effects. Sensitivity analyses were conducted based on leave-one-out to identify potentially influential SNPs. All analyses were conducted by using the two-sample MR R package and were considered statistically significant when P<0.05. RESULTS: MR analysis showed the presence of TMD on insomnia (OR=1.089, 95%CI: 1.017-1.166, P=0.014). Meanwhile, no effect of insomnia on TMD (OR=0.996, 95%CI: 0.964-1.029, P=0.816) was found. The sensitivity-analysis showed that no heterogeneity existed (P>0.05), and the presence of horizontal pleiotropy was not detected (P>0.05). Leave-one-out sensitivity analysis showed no single SNP, which may affect the causal relation. All findings indicated that the causal relationship between TMD and insomnia was not significantly affected by any individual SNP and that IV did not bias the results. CONCLUSIONS Results of MR analyses showed that TMD is a risk factor for insomnia, whereas insomnia is not a risk factor for TMD.
Humans ; Sleep Initiation and Maintenance Disorders/genetics* ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Temporomandibular Joint Disorders/complications* ; Genome-Wide Association Study

Background The safety of drinking water is closely related to people's health. In recent years, relevant studies have identified some health related problems with drinking water in Inner Mongolia Autonomous Region. The complex and diverse natural environment embraced by the vast jurisdiction of the region may lead to uneven drinking water quality across the region. Objective To evaluate eight chemicals including arsenic, cadmium, chromium (hexavalent), lead, mercury, fluoride, trichloromethane, and carbon tetrachloride in urban drinking water in Inner Mongolia Autonomous Region in 2021, and to provide reference for optimizing urban water supply system and ideas for further developing strategies to promote population health. Methods A total of 1228 monitoring sites were set up in urban areas of Inner Mongolia, and water samples were collected once in dry season (May) and once in wet season (August−September). Eight chemicals of interest in drinking water were detected according to the Standard examination methods for drinking water, and assessed for health risks using the health risk assessment model recommended by the United States Environmental Protection Agency (USEPA) and following the Technical guide for environmental health risk assessment of chemical exposure. Mann-Whitney U test was used to compare the concentrations of eight chemicals in urban drinking water by water seasons and water sample types. Results In 2021, a total of 2381 samples of urban drinking water were tested in the Inner Mongolia Autonomous Region, including 1195 samples in wet season and 1186 samples in dry season; 389 samples of finished water and 1992 samples of tap water. The positive rates of arsenic and fluoride were 26.25% and 96.77%, respectively. The positive rates of cadmium, chromium (hexavalent), lead, mercury, trichloromethane, and carbon tetrachloride were 6.22%, 16.63%, 6.09%, 16.67%, 18.98%, and 8.36%, respectively. The exceeding standard rate of fluoride was 4.87%. Trichloromethane and carbon tetrachloride were qualified in all samples. There were statistical differences in the concentrations of arsenic, cadmium, chromium (hexavalent), lead, and carbon tetrachloride in urban drinking water between water seasons (Z=−3.847, P<0.05; Z=2.464, P=0.014; Z=−3.129, P=0.002; Z=4.341, P<0.05; Z=4.342, P<0.05). Only fluoride concentration was found statistically different among different water sample types (Z=−2.287, P=0.022). The non-carcinogenic risks of ingestion and dermal exposure to each chemical in drinking water by water seasons and water sample types were all less than 1, but the P₉₅ total non-carcinogenic risks of oral exposure were greater than 1. The P₉₅ carcinogenic risks of oral exposure to some chemicals in drinking water by water seasons and water sample types were>10⁻⁴, which suggested carcinogenic risks, while the carcinogenic risks of dermal explore to chemicals were all less than 10⁻⁶. Conclusion In 2021, urban drinking water in Inner Mongolia Autonomous Region is generally safe, but arsenic, cadmium, chromium (hexavalent), lead, mercury, and fluoride still exceed the national limits, posing certain health risks.

Osteoporosis （OP） and osteoarthritis （OA） are common bone diseases in clinic. OP is a systemic skeletal disease， and OA is a chronic degenerative joint disease with high prevalence and disability rates. With the advent of the aging population， the incidence rate of OA and OP is increasing year by year， and they have become common diseases of the elderly. The quality of life and physical and mental health of patients are severely affected by the above two bone diseases. Chinese medicine has a long history of treating bone diseases， with a good clinical effect on preventing and treating OP， OA， and other bone diseases with few side effects. It is one of the commonly used methods to treat bone diseases. Polysaccharides， as one of the active substances of Chinese medicine， have various pharmacological activities and a wide range of sources with low toxicity， and their effect cannot be ignored. The role of polysaccharides in the treatment of bone diseases has been deeply studied. It has been found that the mechanism of Chinese medicine polysaccharides in treating OP and OA involves multiple levels， targets， and pathways. Through the analysis and summary of the relevant literature on the mechanism of Chinese medicine polysaccharides in treating OP and OA， it was found that Chinese medicine polysaccharides mainly treated OP by regulating the bone dynamic balance between osteoblasts and osteoclasts and affecting bone marrow mesenchymal stem cells and bone microstructure. The mechanism of Chinese medicine polysaccharides in the treatment of OA is related to the regulation of chondrocyte growth， the increase in the proteoglycan and collagen content in the cartilage matrix， and the reduction of oxygen free radical content and inflammatory mediator level. This study aimed to further explore the internal relationship among mechanisms of Chinese medicine polysaccharides in the treatment of bone diseases， to provide relevant ideas for the study of Chinese medicine polysaccharides in the treatment of bone diseases.

Objective To study the impacts of alcohol dependence on the anticonvulsant effect of diazepam. Meth?ods Kunming mice (n=36) were divided into 3 groups (n=12 in each group), Alcohol Dependence Group(A group), Diaze?pam Group(D group)and Normal Saline Group(N group). A group received an intraperitoneal injection with a 0.2 mL dose of 0.8%alcohol in NS (normal saline) , while both D and N group received an injection with a 0.2 mL dose of NS without alco?hol , twice a day. Mice’s autonomic activities were monitored every day. After 7 days, the electroconvulsive experiment was performed. Both A and D group were given a weight-based dose of 0.05 mL/10 g of 0.05%diazepam via intraperitoneal injec? tion, while N group was given a 0.05 mL/10 g dose of NS. Before administration and after 15, 30, 60 min of administration, the convulsion threshold of each group was measured. Results The count of autonomic activity of mice in A group was less than that of mice in D and N group during the 2nd day to 6th day(P<0.05). On the 1st and 7th day, the difference of the count of autonomic activity of mice between A group and the other two groups was not statistically significant(P>0.05). The convulsion threshold of mice in A group was higher than that of mice in D and N group before administration(P<0.05). Af?ter administration, the convulsion threshold of mice in N group didn’t show statistically significant difference from that of mice before administration(P>0.05). After 15 min of administration, the convulsion threshold of mice in D group was high?er than that of mice in A and N group(P<0.05), while the convulsion threshold of mice in A group was higher than that of mice in N group(P<0.05). After 30 min and 60 min of administration, both the convulsion thresholds of mice in A and D group were higher than that of mice in N group(P<0.05). However, at this point, the difference of the convulsion thresholds of mice between A and D group was not statistically significant(P>0.05). Conclusion Alcohol dependence has anticon?vulsant effect. Alcohol dependence weakens the anticonvulsant effect of diazepam.