Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts of model mice to investigate the functional roles of genes of interest in Sertoli and Leydig cells within the testis. However, the shortcomings of these genetic tools include high costs, lengthy experimental periods, and limited accessibility for researchers. Therefore, exploring alternative gene silencing techniques is of great practical value. In this study, we employed adeno-associated virus (AAV) as a vector for gene silencing in Sertoli and Leydig cells. Our findings demonstrated that AAV serotypes 1, 8, and 9 exhibited high infection efficiency in both types of testis cells. Importantly, we discovered that all three AAV serotypes exhibited exquisite specificity in targeting Sertoli cells via tubular injection while demonstrating remarkable selectivity in targeting Leydig cells via interstitial injection. We achieved cell-specific knockouts of the steroidogenic acute regulatory ( Star ) and luteinizing hormone/human chorionic gonadotropin receptor (Lhcgr) genes in Leydig cells, but not in Sertoli cells, using AAV9-single guide RNA (sgRNA)-mediated gene editing in Rosa26-LSL-Cas9 mice. Knockdown of androgen receptor ( Ar ) gene expression in Sertoli cells of wild-type mice was achieved via tubular injection of AAV9-short hairpin RNA (shRNA)-mediated targeting. Our findings offer technical approaches for investigating gene function in Sertoli and Leydig cells through AAV9-mediated gene silencing.
Animals ; Male ; Leydig Cells/metabolism* ; Mice ; Dependovirus/genetics* ; Sertoli Cells/metabolism* ; Gene Silencing ; Genetic Vectors ; Testis/cytology*

OBJECTIVES: To explore the efficacy and adverse reactions of nusinersen combined with risdiplam in the treatment of spinal muscular atrophy (SMA). METHODS: A retrospective analysis was conducted on the clinical data of 10 pediatric SMA patients treated with nusinersen combined with risdiplam at the Children's Medical Center of Xiangya Hospital, Central South University. RESULTS: Among the 10 SMA patients, there were 4 with type I, 4 with type II, and 2 with type III. Nine patients initially received nusinersen monotherapy, while 1 patient received nusinersen combined with risdiplam. The median duration of combination therapy with nusinersen and risdiplam for the 10 patients was 10.5 months (range: 0.5-20.0 months), with 6 patients undergoing combination therapy for more than 6 months, showing improvements in motor and/or respiratory function. The remaining 4 patients had combination treatment durations of 0.5, 1.0, 1.3, and 4.0 months, respectively, with no significant overall improvement. After combined treatment, 5 patients experienced skin hyperpigmentation, 2 had lumbar puncture site pain, 1 experienced vomiting, 1 had increased sputum production, and 1 had reduced total sleep time. All adverse reactions were mild and did not require medical intervention. CONCLUSIONS Nusinersen combined with risdiplam demonstrates efficacy in the treatment of SMA, and no significant adverse reactions have been observed.
Humans ; Oligonucleotides/adverse effects* ; Male ; Female ; Child, Preschool ; Retrospective Studies ; Infant ; Muscular Atrophy, Spinal/drug therapy* ; Drug Therapy, Combination ; Child ; Azo Compounds ; Pyrimidines

Objective To develop and compare prediction models for hyperuricemia(HUA)in perim-enopausal and postmenopausal women using Lasso regression,random forest,and multivariate logistic regres-sion.Methods A multi-stage,stratified cluster sampling method was used to select 12 790 subjects from An-ning City,Yunnan Province.Prediction models for HUA were constructed using Lasso regression,random for-est,and multivariate logistic regression.The efficacy of the model was evaluated by accuracy,sensitivity,speci-ficity,F1 score,and area under the curve(AUC).Results LASSO regression analysis screened 19 variables for inclusion in the model,such as age,waist circumference,diastolic blood pressure,BMI,HDL-C,fasting blood glucose(FBG),etc.The accuracy rate was 0.701,the sensitivity was 0.703,the specificity was 0.680,and the F1 score was 0.806.The AUC(95%CI)was 0.770(0.748-0.792).The results of the random forest model show that variables such as creatinine,triglyceride-glucose index(TyG),TG,BMI,TC,Urea nitrogen(Urea),and ALT were relatively important,with an accuracy rate of 0.663,a sensitivity of 0.653,a specificity of 0.738,and an F1 score of 0.774.The AUC(95%CI)was 0.763(0.741-0.785).Multivariate logistic re-gression results showed that 11 variables including creatinine(Cr),TyG,BMI,Urea,and ALT were included in the model,with an accuracy rate of 0.705,a sensitivity of 0.707,a specificity of 0.686,an F1 score of 0.809,and an AUC(95%CI)of 0.771(0.749-0.793).Conclusion The overall performance of LASSO re-gression and multivariate logistic regression models is better.The random forest model has a strong variable screening ability and high specificity,and can be used as a supplement to provide more accurate predictions.

Objective:To investigate the nutritional risk status of children in PICU and analyze its influencing factors.Methods:From July 2021 to February 2023,all children aged 1 to 18 years admitted to PICU of Beijing Children's Hospital were investigated by using the pediatric Yorkhill Malnutrition Scoring tool(PYMS)and the clinical data questionnaire.Results:A total of 492 children in PICU were enrolled.The first nutritional risk screening results showed that there were 32 cases of no/low nutritional risk(6.5%),76 cases of medium risk(15.4%),and 384 cases of high risk(78.1%).The incidence of medium/high nutritional risk was as high as 93.5%.The PYMS score of nutritional risk in PICU was(2.61±1.42).The results of multiple linear regression analysis showed that weight,fever time before admission,white blood cells,body mass index,primary diagnosis,father's education,and diet before illness were the main influencing factors of nutritional risk of children in PICU(P<0.05).Conclusion:Children in PICU are in a state of high nutritional risk.It is suggested that children in PICU should carry out nutritional screening in a standardized manner,identify children with high nutritional risk and its influencing factors early.To actively conduct nutritional assessment and nutritional intervention could improve the clinical outcome of children in PICU.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

The working principle of TMC BC ROBO 6 intelligent blood collection system was described in brief.The causes of three faults during daily operation of the system were analyzed,and the countermeasures were put forward accordingly.References were provided for clinical engineers to treat similar faults.[Chinese Medical Equipment Journal,2024,45(6):113-116]

Objective:To investigate the correlation between complement C3 and urine protein level and proteinuria remission status in patients with primary membranous nephropathy (PMN), and better guide individualized clinical treatment.Methods:It was a single-center retrospective study. The clinical data of PMN patients who underwent renal biopsy in the First Affiliated Hospital of Nanjing Medical University from January 2017 to June 2022 were collected. Patients with 24 h urinary protein ≥ 3.5 g were followed up after receiving standard treatment, and the last outpatient or inpatient review was used as the end point of follow-up. 24 h urine protein was collected to evaluate the remission status of proteinuria. Kaplan-Meier method was used to analyze the correlation between serum and renal complements and proteinuria remission. Cox regression analysis method was used to analyze the correlation between serum C3 level and renal tissue C3 deposition and proteinuria remission.Results:This study included 507 PMN patients with 312 (61.54%) males, aged 54 (43, 64) years old. Compared with 24 h urinary protein < 3.5 g group, proportion of males ( χ2=22.479, P<0.001), age ( Z=-2.521, P=0.012), systolic blood pressure ( Z=-4.148, P<0.001), diastolic blood pressure ( Z=-4.084, P<0.001), serum anti-phospholipase A2 receptor (PLA2R) antibody titer ( Z=-7.019, P<0.001), total cholesterol ( Z=-8.796, P<0.001), triglyceride ( Z=-6.158, P<0.001), low density lipoprotein cholesterol ( Z=-8.716, P<0.001), serum creatinine ( Z=-7.368, P<0.001), serum C3 ( Z=-3.663, P<0.001), serum C4 ( Z=-6.560, P<0.001), proportion of glucocorticoid use ( χ2=116.417, P<0.001) and proportion of immunosuppressant use ( χ2=53.839, P<0.001) were all higher, while serum albumin ( Z=12.518, P<0.001), estimated glomerular filtration rate ( Z=6.345, P<0.001) and serum IgG ( Z=7.321, P<0.001) were all lower in 24 h urinary protein ≥3.5 g group. There were 268 patients included in the follow-up cohort with baseline 24 h urinary protein of 7.15 (5.14, 10.24) g, serum anti-PLA2R antibody titer of 61.44 (14.35, 193.24) RU/ml, serum C3 of 1.005 (0.864, 1.150) g/L, and serum C4 of 0.260 (0.214, 0.317) g/L. Kaplan-Meier survival curve showed that the incomplete remission rate of proteinuria in serum C3 > 1.005 g/L group was lower than that in serum C3 ≤ 1.005 g/L group (log-rank χ2=4.757, P=0.029). There was no significant difference in the incomplete remission rate of proteinuria between serum C4 ≤ 0.260 g/L group and serum C4 > 0.260 g/L group (log-rank χ2=3.543, P=0.060). Renal C1q (log-rank χ2=0.167, P=0.683) and C4 (log-rank χ2=1.927, P=0.165) deposition had no significant effects on proteinuria remission in PMN patients. The incomplete remission rate of proteinuria in patients with renal C3 deposition was higher than that in patients without renal C3 deposition (log-rank χ2=7.018, P=0.008). Univariate Cox regression analysis showed that serum C3 level and C3 deposition in renal tissues were influencing factors of incomplete remission of proteinuria (both P<0.05), while adjusting for gender, age, mean arterial pressure, serum anti-PLA2R antibody, serum albumin and 24 h urinary protein, serum C3 ≤ 1.005 g/L ( HR=1.374, 95% CI 1.021-1.849, P=0.036), C3 deposition in renal tissues ( HR=1.949, 95% CI 1.098-3.460, P=0.023), and serum C3 ≤ 1.005 g/L combined with C3 deposition in renal tissues ( HR=1.472, 95% CI 1.093-1.983, P=0.011) were independent influencing factors of incomplete remission of proteinuria. Conclusions:The serum C3 level and C3 deposition in renal tissues are closely related to urinary protein level and proteinuria remission status in PMN patients. The patients with higher urinary protein have higher serum C3. For patients with massive proteinuria, serum C3 ≤ 1.005 g/L, C3 deposition in renal tissues, serum C3 ≤ 1.005 g/L combined with C3 deposition in renal tissues are independent risk factors of incomplete remission of proteinuria.

Under the background of high-intensity fattening,probiotics have gradually become wide-ly used feed additives.It can inhibit the proliferation of pathogenic bacteria,maintain the microeco-logical balance in the digestive tract,and improve the host immune function.In order to screen lac-tic acid bacteria strains with potential probiotic effects,23 acid-producing strains were isolated from rumen fluid of healthy Duolang sheep by CaCO3-MRS solid medium.Safe strains were re-screened through primary screening and hemolysis tests.Acid tolerance tests and bile salt tests were used to screen the strains that were relatively adapted to the rumen environment.The survival rate of the strain M2 was 93.80％under pH3.0 and 59.72％under bile salt concentration of 0.30％and the survival rate is higher than other strains under high temperature conditions.Subsequently,morphological observation,molecular biological identification,testing of pathogen antagonism,antibiotic tolerance analysis,growth characteristics detection and other methods were used to fur-ther explore the characteristics of the strain.The results showed that the strain to be tested was Gram-positive bacillus.After 16S rRNA gene sequence comparison,the strain was identified as Lactobac illus salivus,which could be used as a candidate strain to develop probiotics.The research results laid a foundation for its application in Duolang sheep breeding.