A lack of effective drugs and technical means to eradicate hepatitis B virus (HBV) is a bottleneck that limits the ability to fully cure HBV infection. Recently, genome-editing technology based on clustered regularly interspaced short palindromic repeats -associated protein 9 is an emerging technique for editing specific gene loci, which can specifically target HBV covalently closed circular DNA, effectively inhibits HBV DNA replication and regulates HBV functional protein expression, and is expected to become a powerful gene therapy tool for the complete eradication of HBV. Considering this, it has become the focus of attention for scholars at home and abroad that how to use clustered regularly interspaced short palindromic repeats -associated protein 9 to accomplish modification of HBV genomes for complete eradication of HBV. This paper summarizes the latest progress based on the latest research results at home and abroad in the application of clustered regularly interspaced short palindromic repeats -associated protein 9 gene editing technology in anti-HBV infection treatment, and expounds its potential and challenges as a radical cure for HBV infection.

Circular RNA (circRNA) is involved in tumor progression. CircPVT1 is an oncogene that is abnormally expressed and correlated with a variety of tumors. It can regulate tumors' malignant behavior and affect the survival and prognosis of patients. This article reviews research on the regulatory roles of circPVT1 in tumors to provide references for accurate treatment.

Objective The objective of this study was to provide methodological references for the inheritance of the experience of well-known Chinese medicine doctors in the treatment of kidney disease.Methods The study collected medical case data for IgA nephropathy,diagnosed and treated by Professor Yang Nizhi's outpatient department at Guangdong Provincial Hospital of Traditional Chinese Medicine from 2010 to 2020.The data was standardized and divided into three groups:urine and blood,urine turbidity,and renal failure groups.The study utilized the FangNet platform to apply the PageRank algorithm and calculate the THScore of different subgroups of core herbs for IgA nephropathy.The distribution pattern of syndrome differentiation and corresponding herb use regulations were visualized through Python(SciPy package,Clusterheatmap package),and the study explored and verified the drug prescription through exploratory and confirmatory factor analysis based on Pearson correlation coefficient.The weighted least squares estimation mean and variance adjusted(WLSMV)and the oblique rotated GEOMIN method were used with the Mplus software.Results The study included a total of 548 treatments for 145 patients with IgA nephropathy,with heamturia group(54 cases),urine turbidity group(51 cases),and renal failure group(40 cases).Results showed 9 basic syndromes such as Qi deficiency syndrome(91.79%),blood stasis syndrome(77.01%),damp-heat syndrome(66.06%),and Yin deficiency syndrome(38.69%).There are 24 core drugs in total,23 in the urine and blood group,21 in the urine turbidity group,and 16 in the renal failure group.These drugs mainly include qi-tonifying and yang-invigorating drugs,nourishing yin and blood drugs,promoting blood circulation and removing blood stasis drugs,and clearing heat and cooling blood drugs.The regulations for the differentiation and medication of IgA nephropathy(Z-Score>0.5 and P<0.05)were as follows:Huangqi,Shan Zhu Yu,and Tusizi were commonly used in Qi deficiency syndrome;Danshen,Ze Lan,and Shan Zhu Yu were commonly used in blood stasis syndrome;Pu Gong Ying,Shi Wei,Tao Ren,and Tu Fu Ling were commonly used in damp-heat syndrome;and Mo Han Lian,Tai Zi Shen,and Nv Zhen Zi were commonly used in Yin deficiency syndrome.Through exploratory and confirmatory factor analysis,the core drug combination factors for the treatment of IgA nephropathy by Professor Yang Nizhi were obtained as follows:F1(Tusizi,Shan Zhu Yu,Huangqi);F2(White Mao Gen,Xiao Ji,Qian Cao);F3(Nv Zhen Zi,Mo Han Lian,Tai Zi Shen);and F4(Ze Lan,Tao Ren).Conclusion This study analyzed the diagnosis and treatment experience of Professor Yang Nizhi in the treatment of IgA nephropathy by grouping,defining the core syndrome of"Qi deficiency and blood stasis,damp-heat and Yin deficiency",and the core treatment methods of"tonifying Qi,promoting blood circulation,clearing heat,and nourishing Yin"using the PageRank algorithm and Mplus factor analysis.The study provided methodological references for the inheritance of the experience of famous Chinese medicine doctors and promoted the development and utilization of traditional Chinese medicine.

Objective To analyze risk factors of acute respiratory failure(ARF)in patients with hypertriglyceridemia acute pancreatitis(HTG-AP)and construct a risk prediction model.Methods A total of 222 HTG-AP patients were included in this study and divided into the non-ARF group(176 cases)and the ARF group(46 cases)according to diagnostic guidelines for ARF.Clinical data of the two groups were compared and the predictive factors were screened.These selected factors were then utilized in a multivariate Logistic regression analysis to construct a Logistic regression model.Subsequent evaluation of the model′s predictive ability,accuracy and clinical utility was conducted through ROC,curve analysis,calibration plot examination and decision curve analysis(DCA),respectively.Results Compared with the non-ARF group,the levels of high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL)-C and albumin(ALB)were decreased in the ARF group(P＜0.05),while the levels of creatinine(Cr),urea nitrogen(BUN),aspartate aminotransferase(AST)and C-reactive protein(CRP)were increased,and the incidence of pleural fluid and ascites was also increased(P＜0.05).Multivariate Logistic regression analysis showed that higher levels of Cr and AST,lower levels of ALB,HDL-C and ascites were independent risk factors for HTG-AP complicated ARF(P＜0.05).Based on these results,a column-line prediction model for HTG-AP complicated ARF was established.After internal verification,the area under curve(AUC)of receiver operating characteristic(ROC)curve of the nomogram model was 0.952(95%CI:0.923-0.981),the Youden index was 0.808 and the sensitivity and specificity were 93.33%and 87.43%,respectively.The calibration curve showed that the probability of HTG-AP concurrent ARF predicted by the model was in good agreement with the actual probability.The DCA curve showed that the model had certain clinical value.Conclusion The nomogram prediction model combined could provide a scheme for the clinical prevention of HTG-AP complicated with ARF.

Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is one of the common diseases in uroloandrology, which recurs easily after treatment. In recent years, the safety and efficacy of extracorporeal shock wave therapy (ESWT) for CP/CPPS has been widely demonstrated. Studies have shown satisfactory short-term (≤12 weeks) outcomes of ESWT, but lack long-term (>12 weeks) follow-up data. In addition, inconsistent indications and unexplained therapeutic mechanisms have limited the further clinical promotion of ESWT. This article summarizes the latest progress and potential mechanism of ESWT in the treatment of CP/CPPS in order to provide new insights for the standardized application of ESWT.

Background Nitrogen dioxide (NO₂), a crucial component of traffic pollutants, has been shown in studies to exert toxic effects on the nervous system. However, there is a limited body of research examining the relationship between NO₂ exposure and neurological disorders in children. Objective To explore the impact of short-term NO₂ exposure on the outpatient visits due to pediatric neurological diseases in Shijiazhuang. Methods From 2013 to 2021, we collected outpatient data related to neurological diseases at the Children's Hospital in Shijiazhuang, Hebei Province. We also collected air pollution data and meteorological data of the same city. The air pollution data included daily average concentrations of inhalable particles (PM₁₀), fine particulate matter (PM_2.5), sulfur dioxide (SO₂), NO₂, carbon monoxide (CO), and daily maximum 8-hour average concentration of ozone (O₃). The meteorological data comprised daily average atmospheric pressure, temperature, relative humidity, wind speed, and sunshine duration. Employing a time-stratified case-crossover design, we used conditional logistic regression models to analyze the association between NO₂ and pediatric outpatient visits for neurological diseases. Stratification analyses were conducted based on gender (male, female) and age groups (0-6 years, 7-14 years). Results The study included a total of 154348 valid pediatric outpatient visits for neurological diseases. The daily average concentration of NO₂ was 49.3 μg·m⁻³ for the study period. The results from the single-pollutant model indicated that NO₂ increased the risk of pediatric neurological outpatient visits, with the highest association observed at lag0. Specifically, for every 10 μg·m⁻³ increase in atmospheric NO₂ exposure, there was a 1.40% increase (95%CI: 1.05%, 1.74%) in pediatric neurological outpatient visits. The stratification analyses revealed that increased atmospheric NO₂ exposure was associated with an elevated risk of neurological outpatient visits for girls (ER=1.54, 95%CI: 1.01, 2.08) and children aged 7-14 years (ER=2.35, 95%CI: 1.68, 3.02). Even after introducing PM_2.5 (ER=1.96, 95%CI: 1.49, 2.43), SO₂ (ER=2.09, 95%CI: 1.62, 2.55), and O₃ (ER=1.40, 95%CI: 1.06, 1.74) to the models, the impact of NO₂ exposure on pediatric neurological outpatient visits remained statistically significant. The results of the multi-pollutant model also indicated a significant association (ER=2.53, 95%CI: 1.97, 3.08). Conclusion The effect of short-term exposure to atmospheric NO₂ on the outpatient visits of children with neurological diseases in Shijiazhuang is acute and independent, especially for children aged 7-14.