1.A Mutation Analysis of GJB2 and SLC26A4 Gene in A Chinese Family wi th Non-Syndromi c Deafness
Zhiguo OUYANG ; Jian JIN ; Jiahai CHENG
Journal of Audiology and Speech Pathology 2015;(5):485-488
Objective To study the molecular pathogenesis of non -syndromic deafness in a Chinese family . Methods Clinical materials and DNA sample were obtained from the non -syndromic family with autosomal reces‐sive deafness .The exons and the flanking splicing sites of GJB2 and SLC26A4 were tested in all family members by PCR and direct sequencing .Results There were four deafness patients in the family ,and three of them had the same clinical phenotypes ,including prelingual profound sensorineural hearing loss and enlarged vestibular ,while the re‐mained one only presented to be prelingual profound sensorineural hearing loss without malformation of temporal bone .One type of GJB2 mutation and 3 different types of SLC26A4 mutations were identified in the family .The proband(Ⅲ -1) ,her sister(Ⅲ -2) ,her mother(Ⅱ -4) and her father(Ⅱ -3) carried different biallelic mutations which were SLC26A4 c .919 -2A > G/p .H723R ,p .Q413R/c .919 -2A > G ,p .Q413R/p .H723R and GJB2 c . 235delC/c .235delC ,respectively .Conclusion Different from most reported deafness families with the same molecu‐lar etiology in each one ,interestingly ,the pathogenies were different among all affected members in this family . They were caused by different biallelic mutations of SLC26A4 or GJB2 .
2.Lung injury severity changes in response to different blast shock waves in rabbits
Yuanyuan JU ; Dike RUAN ; Cheng XU ; Ming HU ; Liyang LIU ; Jiahai CHEN ; Jing WANG ; Jun LI ; Renrong LONG
Chinese Journal of Trauma 2018;34(7):637-642
Objective To observe the effect of different explosion impulse on rabbit lung injury and decide the death curve,so as to provide a reference for the prediction of lung injury.Methods Six healthy male New Zealand white rabbits with weight of 2.0-2.5 kg and age of (6 ± 1)months were selected.The rabbits were put 0.5 m,0.6 m,0.7 m,0.9 m,1.0 m,and 1.2 m away from 90 g TNT to carry out the blast injury experiment.The characteristic parameters of blast shock wave and general lung injury were recorded.Based on the experimental results combined with theoretical analysis,the changes of rabbit lung injury depending on the explosion distance as well as the rabbit death curve were determined.Results After the 90 g TNT explosion,the peak overpressure of shock wave and the corresponding specific impulse decreased quickly with the increase of explosion distance.The peak overpressure was 0.79 MPa and the specific impulse was 82 Pa · s at the explosion distance of 0.5 m.The peak overpressure was 0.1 MPa and the specific impulse was 34 Pa · s at the explosion distance of 1.2 m.The rabbits at 0.5 m and 0.6 m died,the rabbit at 0.7 m was severely injured,and the rabbits at 0.9 m,1.0 m,and 1.2 m were slightly injured.The dependence of lung injury degree on the explosion distance under 90 g TNT explosion was established based on dimensional analysis theory.The lung injury degree was exponentially attenuated with the explosion distance:φ =(R/0.6)-5.64(φ represented lung injury degree,and R represented the explosion distance).Considering the combined injury effects of peak overpressure of shock wave and its specific impulse on rabbit lung,the death curve of rabbit was determined:(p-0.1) (I-59) =2.6 (p represented peak overpressure,and I represented specific impulse).The criterion of "overpressure-specific impulse" was used to estimate the death of rabbit,and the death curve of rabbit was determined as (p-0.1)(I-59) =2.6(p represented peak overpressure and I represented specific impulse).The critical overpressure was 0.1 MPa and the critical specific impulse was 59 Pa · s.Conclusions Under the explosion condition of 90 g TNT,the relationship between degree of lung injury in rabbits and explosion distance is established.Death curve of rabbits is determined based on the damage effect of shock wave peak overpressure and specific impulse on the lungs of rabbits,which is significant for predicting the blast injury.
3. Distribution of the COVID-19 Epidemic and Correlation with Population Emigration from Wuhan, China
Zeliang CHEN ; Qi ZHANG ; Yi LU ; Zhongmin GUO ; Xi ZHANG ; Wenjun ZHANG ; Cheng GUO ; Conghui LIAO ; Qianlin LI ; Xiaohu HAN ; Jiahai LU
Chinese Medical Journal 2020;133(0):E008-E008
Background The ongoing new coronavirus pneumonia (Corona Virus Disease 2019,COVID-19) outbreak is spreading in China, but it has not yet reached its peak. Five million people emigrated from Wuhan before lockdown, potentially representing a source of virus infection. Determining case distribution and its correlation with population emigration from Wuhan in the early stage of the epidemic is of great importance for early warning and for the prevention of future outbreaks. Methods The official case report on the COVID-19 epidemic was collected as of January 30, 2020. Time and location information on COVID-19 cases was extracted and analyzed using ArcGIS and WinBUGS software. Data on population migration from Wuhan City and Hubei province were extracted from Baidu Qianxi, and their correlation with the number of cases was analyzed. Results The COVID-19 confirmed and death cases in Hubei province accounted for 59.91% (5806/9692) and 95.77% (204/213) of the total cases in China respectively. Hot spot provinces included Sichuan and Yunnan, which are adjacent to Hubei. The time risk of Hubei province on the following day was 1.960 times that on the previous day. The number of cases in some cities was relatively low, but the time risk appeared to be continuously rising. The correlation coefficient between the provincial number of cases and emigration from Wuhan was up to 0.943. The lockdown of 17 cities in Hubei province and the implementation of nationwide control measures efficiently prevented an exponential growth in the number of cases. Conclusion The population that emigrated from Wuhan was the main infection source in other cities and provinces. Some cities with a low number of cases showed a rapid increase in case load. Owing to the upcoming Spring Festival return wave, understanding the risk trends in different regions is crucial to ensure preparedness at both the individual and organization levels and to prevent new outbreaks.