Fifty whitespotted bamboo sharks (Chiloscyllium playgiosum) of both sexes were used to establish a large capacity variable domain of the new antigen receptor (VNAR) library with a total capacity of over 10⁹ colony-forming units (CFU). It was applied to screen VNARs against human serum albumin (HSA) and human transcription factor EB (TFEB), respectively. Meanwhile, VNAR libraries specific to HSA and TFEB with capacities above 10⁸ CFU were obtained following conventional immunization. These two approaches were systematically studied in terms of VNAR yield and composition. By comparing the VNAR sequences obtained from naïve and antigen-immunized libraries, we found that the complementary-determining region 3 (CDR3) of the former differs in composition from that of the latter. It shares a higher degree of homology with the naïve library. Meanwhile, the binding efficiency assessed by ELISA is also different between the naïve and antigen-immunized libraries. The binding of VNARs from the TFEB-immunized library appeared to surpass that observed with the naïve libraries, whereas the performance of VNARs from the HSA-immunized library indicated that both the immunized and naïve libraries for HSA had positive binding responses in polyclonal and monoclonal ELISA. The results are useful to develop novel diagnostic and therapeutic products based on shark VNARs.

Objective As an important monitoring target for gaseous effluents from nuclear facilities, the radioactive inert gas ⁸⁵Kr requires accurate measurement, which is crucial for nuclear safety and radiation protection. This study organized an inter-laboratory comparison activity for ⁸⁵Kr gamma-ray spectrometry measurements, with the aims of identifying potential problems in ⁸⁵Kr measurement and improving detection capabilities and proficiency. Methods Four laboratories participated in this comparison. Each laboratory employed gamma-ray spectrometry to measure the comparison samples, and the results were evaluated using the E_n value. Results The measurement results from all participating institutions were acceptable, with the maximum E_n value being 0.73. The results demonstrate that despite the low gamma-ray branching ratio of ⁸⁵Kr and its susceptibility to interference from the 511 keV positron annihilation peak, gamma-ray spectrometry can achieve reliable activity measurements of ⁸⁵Kr. Conclusion The comparison for ⁸⁵Kr gamma-ray spectrometry tested the capabilities of the participating laboratories in ⁸⁵Kr measurement. It promoted technical exchange and experience sharing among laboratories, laying a foundation for future comparisons involving more complex radioactive inert gases.

Gongfa is an essential approach to prevent and treat diseases in traditional Chinese medicine(TCM),often used to prevent a disease before it arises.Guided by TCM and modern scientific theories,the Tuina(Chinese therapeutic massage)Gongfa prescription theory implements the principle,method,prescription,and form in clinical pattern-identified treatment to prescribe the corresponding Tuina Gongfa prescription,i.e.,to prescribe a basic Tuina Gongfa prescription,specifically for a systemic disease,and modify Gongfa forms based on the basic prescription according to different patterns.The Gongfa prescription for pulmonary diseases designs corresponding Gongfa forms from six perspectives:lifting Yang,securing the exterior,opening the orifices,soothing the chest,harmonizing the stomach,and regulating Qi to prevent and treat diseases.The application of the pulmonary Gongfa prescription indicates the potential to apply the Tuina Gongfa prescription theory for the clinical prevention,treatment,and rehabilitation of disorders of other systems,thereby fully realizing the unique role of TCM Gongfa.

Objective To observe the value of CT radiomics machine learning(ML)model for predicting stone free rate(SFR)of urinary calculi after retrograde intrarenal surgery(RIRS).Methods Totally 216 patients with urinary calculi who underwent RIRS were retrospectively enrolled and divided into residual group(n=73)and non-residual group(n=143).Univariate and multivariate logistic regression(LR)were performed to analyze clinical data and CT manifestations of stones to screen independent predictors of SFR after RIRS.Window width and window level normalization combined with max-min normalization(denoted as method a),max-min normalization(denoted as method b),window width and window level normalization(denoted as method c)and non-normalization(denoted as method d)of pre-RIRS abdominal CT were performed,respectively,and the best radiomics features of stones were extracted and screened to establish ML models,including support vector machine(SVM),LR and stochastic gradient descent(SGD)models,and the best ML model was screened.RUSS and modified S.T.O.N.E scores were evaluated based on pre-RIRS CT for predicting SFR of urinary calculi after RIRS.A combined model was then constructed with the independent predictors and the best ML model.The predictive efficacy of each model and scoring system were assessed.Results The number of stones,CT value and volume of the maximum stone were all independent predictors of SFR after RIRS(all P＜0.05).The area under the curve(AUC)of SVM model constructed with images preprocessed by method b was the highest(0.861),higher than that of the total scores of RUSS and modified S.T.O.N.E(AUC=0.750,0.759,both P＜0.05)but not different from that of combined model(AUC=0.853,P=0.775).Conclusion Radiomics SVM model based on max-min normalization preprocessed CT could effectively predict SFR of urinary calculi after RIRS.

Gongfa is an essential approach to prevent and treat diseases in traditional Chinese medicine(TCM),often used to prevent a disease before it arises.Guided by TCM and modern scientific theories,the Tuina(Chinese therapeutic massage)Gongfa prescription theory implements the principle,method,prescription,and form in clinical pattern-identified treatment to prescribe the corresponding Tuina Gongfa prescription,i.e.,to prescribe a basic Tuina Gongfa prescription,specifically for a systemic disease,and modify Gongfa forms based on the basic prescription according to different patterns.The Gongfa prescription for pulmonary diseases designs corresponding Gongfa forms from six perspectives:lifting Yang,securing the exterior,opening the orifices,soothing the chest,harmonizing the stomach,and regulating Qi to prevent and treat diseases.The application of the pulmonary Gongfa prescription indicates the potential to apply the Tuina Gongfa prescription theory for the clinical prevention,treatment,and rehabilitation of disorders of other systems,thereby fully realizing the unique role of TCM Gongfa.

Objective To observe the value of CT radiomics machine learning(ML)model for predicting stone free rate(SFR)of urinary calculi after retrograde intrarenal surgery(RIRS).Methods Totally 216 patients with urinary calculi who underwent RIRS were retrospectively enrolled and divided into residual group(n=73)and non-residual group(n=143).Univariate and multivariate logistic regression(LR)were performed to analyze clinical data and CT manifestations of stones to screen independent predictors of SFR after RIRS.Window width and window level normalization combined with max-min normalization(denoted as method a),max-min normalization(denoted as method b),window width and window level normalization(denoted as method c)and non-normalization(denoted as method d)of pre-RIRS abdominal CT were performed,respectively,and the best radiomics features of stones were extracted and screened to establish ML models,including support vector machine(SVM),LR and stochastic gradient descent(SGD)models,and the best ML model was screened.RUSS and modified S.T.O.N.E scores were evaluated based on pre-RIRS CT for predicting SFR of urinary calculi after RIRS.A combined model was then constructed with the independent predictors and the best ML model.The predictive efficacy of each model and scoring system were assessed.Results The number of stones,CT value and volume of the maximum stone were all independent predictors of SFR after RIRS(all P＜0.05).The area under the curve(AUC)of SVM model constructed with images preprocessed by method b was the highest(0.861),higher than that of the total scores of RUSS and modified S.T.O.N.E(AUC=0.750,0.759,both P＜0.05)but not different from that of combined model(AUC=0.853,P=0.775).Conclusion Radiomics SVM model based on max-min normalization preprocessed CT could effectively predict SFR of urinary calculi after RIRS.

In response to the major national strategic needs of "Healthy China" and "Chengdu-Chongqing Economic Circle", and in strict accordance with the requirements of "New Medicine" construction, Chongqing University builds the medical discipline with a high starting point, develops high-quality medical education, and promotes the exploration and practice of elite education of clinical medical talents in the cross-disciplinary context of medicine and engineering. From the perspective of SWOT, this study analyzed the situations and trends of clinical medical education in "Double First Class" universities which newly established the medical discipline. Combined with the training model of clinical talent class in Chongqing University and the practices of "Four Capacity-Buildings", "Four Integration-Measures", and "Three Optimization-Mechanisms", we discuss the thoughts and strategies of cultivating clinical medical talents in the background of "New Medicine" construction and in the cross-disciplinary context of medicine and engineering.

Objective:To diagnose and explore the genetic etiology of a neonate with Hereditary epidermolysis bullosa.Methods:A neonate who was admitted to Suqian Hospital Affiliated to Xuzhou Medical University on July 10, 2021 was selected as the study subject. Peripheral blood samples were collected from the child and his parents for the extraction of genomic DNA. And target gene capture and next-generation sequencing were carried out. Candidate variants were verified by Sanger sequencing and pathogenicity analysis.Results:The child was found to harbor compound heterozygous variants of the COL17A1 gene, namely c. 997C>T (p.Q333X) and c. 3481dupT (p.Y1161fs*2), which were respectively inherited from his father and mother. Both variants were predicted to be pathogenic. Conclusion:The child was diagnosed with Generalized atrophic benign epidermolysis bullosa due to the compound heterozygous variants of the COL17A1 gene.

Cerebral small vessel disease (CSVD) is a series of diseases originating from pathological changes in cerebral microvessels, with a high prevalence in the population of advanced age. CSVD may significantly increase the risk of various neurological disorders, including cognitive impairment and stroke. With the development and application of advanced imaging techniques such as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), there has been a deeper understanding of the brain function and microstructural changes in patients with CSVD. This article reviews some new indicators and analysis methods of fMRI and DTI in CSVD research, and elaborates on their correlation with patient clinical manifestations.

Objective:To observe the effect of Yi Jin Jing(Sinew-transforming Qigong Exercises)intervention on anxiety in asymptomatic patients with Corona Virus Disease 2019(COVID-19)infection during quarantine.Methods:A total of 160 asymptomatic patients with COVID-19 infection were stratified by gender and divided into an observation group and a control group by the stratified randomization method,with 80 cases in each group.The control group was given basic nursing in the cabin,and the observation group was given additional Yi Jin Jing exercises once a day,20 min each time,and trained continuously until 1 d before leaving the cabin.The Hamilton anxiety scale(HAMA)score was compared between the two groups.Results:A total of 154 cases were included for data analysis in this study,including 74 cases in the observation group and 80 cases in the control group.After intervention,the HAMA scores in both groups increased(P<0.05),while the score in the observation group was lower than that in the control group(P<0.05).In the control group,the HAMA score of females after intervention was higher than that of males.The scores of mental anxiety and somatic anxiety in both groups were higher than those before intervention,while the score of mental anxiety in the observation group was significantly lower than that in the control(P<0.05).However,there was no statistical difference in the somatic score between the two groups(P>0.05).Conclusion:Patients with COVID-19 infection will get anxious during quarantine.Yi Jin Jing exercise can effectively reduce the aggravation of anxiety in asymptomatic patients with COVID-19 infection during concentrated quarantine.