Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Kupffer cells (KCs), as residents and sentinels of the liver, are involved in the formation of hepatic fibrosis (HF). However, the biological functions of circular RNAs (circRNAs) in KCs to HF have not been determined. In this study, the expression levels of circRNAs, microRNAs, and messenger RNAs (mRNAs) in KCs from a mouse model of HF mice were investigated using microarray and circRNA-Seq analyses. circDcbld2 was identified as a candidate circRNA in HF, as evidenced by its up-regulation in KCs. Silver staining and mass spectrometry showed that Wtap and Igf2bp2 bind to cirDcbld2. The suppression of circDcbld2 expression decreased the KC inflammatory response and oxidative stress and inhibited hepatic stellate cell (HSCs) activation, attenuating mouse liver fibrogenesis. Mechanistically, Wtap mediated the N ⁶-methyladenosine (m6A) methylation of circDcbld2, and Igf2bp2 recognized m6A-modified circDcbld2 and increased its stability. circDcbld2 contributes to the occurrence of HF by binding miR-144-3p/Et-1 to regulate the inflammatory response and oxidative stress. These findings indicate that circDcbld2 functions via the m6A/circDcbld2/miR-144-3p/Et-1 axis and may act as a potential biomarker for HF treatment.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

ObjectiveTo construct and validate a clinical prediction model for diabetic kidney disease （DKD） based on optical coherence tomography angiography （OCTA）. MethodsThis study enrolled 567 diabetes patients. The random forest algorithm as well as logistic regression analysis were applied to construct the prediction model. The model discrimination and clinical usefulness were evaluated by receiver operating characteristic curve （ROC） and decision curve analysis （DCA）， respectively. ResultsThe clinical prediction model for DKD based on OCTA was constructed with area under the curve （AUC） of 0.878 and Brier score of 0.11. ConclusionsThrough multidimensional verification， the clinical prediction nomogram model based on OCTA allowed for early warning and advanced intervention of DKD.

The generation of a tau-V337M point mutation mouse model using gene editing technology can provide an animal model with fast disease progression and more severe symptoms, which facilitate the study of pathogenesis and treatment of Alzheimer's disease (AD). In this study, single guide RNAs (sgRNA) and single-stranded oligonucleotides (ssODN) were designed and synthesized in vitro. The mixture of sgRNA, Cas9 protein and ssODN was microinjected into the zygotes of C57BL/6J mice. After DNA cutting and recombination, the site homologous to human 337 valine (GTG) in exon 11 was mutated into methionine (ATG). In order to improve the efficiency of recombination, a Rad51 protein was added. The female mice mated with the nonvasectomy male mice were used as the surrogates. Subsequently, the 2-cell stage gene edited embryos were transferred into the unilateral oviduct, and the F0 tau-V337M mutation mice were obtained. Higher mutation efficiency could be obtained by adding Rad51 protein. The F0 tau-V337M point mutation mice can pass the mutation on to the F1 generation mice. In conclusion, this study successfully established the first tau-V337M mutation mouse by using Cas9, ssODN and Rad51. These results provide a new method for developing AD mice model which can be used in further research on the pathogenesis and treatment of AD.
Animals ; Male ; Female ; Mice ; Humans ; CRISPR-Cas Systems/genetics* ; RNA, Guide, CRISPR-Cas Systems ; Rad51 Recombinase/genetics* ; Mice, Inbred C57BL ; Disease Models, Animal ; Recombination, Genetic

Objective:To observe the clinical efficacy of angiotensin-receptor neprilysin inhibitors (ARNI) in the treatment of maintenance hemodialysis (MHD) with heart failure.Methods:The clinical data of heart failure patients who accepted MHD in Central China Fuwai Hospital were retrospectively collected. All patients accepted regular treatments of heart failure, and then the treatment group was treated with ARNI, while the control group was treated with valsartan. The treatment course was 6 months. The cardiac parameters: left ventricular ejection fraction (LVEF), left ventricular end-diastolic dimension (LVEDD), left ventricular end-systolic dimension (LVESD), pulmonary artery pressure, right ventricular end-diastolic dimension (RVED), right atrial end-diastolic dimension (RAED), N-terminal pro-B-type natriuretic peptide (NT-pro BNP), and serum potassium were collected and compared between the two groups. Multivariate ordered logistic regression analysis was adopted to analyze the influencing factors of treatment effect.Results:A total of 60 MHD patients with heart failure were enrolled with age of (53.92±11.88) years old, 37 males (61.7%), dialysis age of (27.83±12.92) months, and blood pressure of (154.22±15.27) mmHg/(85.43±12.31) mmHg. (1) There was no significant difference of the clinical data and cardiac parameters between the treatment group ( n=30) and the control group ( n=30) before treatment (all P>0.05); (2) After treatment of 6 months, the total effective rate [28/30(93.3%)] in the treatment group was significantly higher than that in the control group [20/30(66.7%)] and the rehospitalization rate [2/30(6.7%)] in the treatment group was significantly lower than that in the control group [10/30(33.3%)] (both P<0.05); (3) After treatment of 6 months, LVEF, LVEDD, LVESD, pulmonary artery pressure, RVED, RAED, NT-pro BNP, and blood pressure were all improved significantly compared with the baseline in both groups (all P<0.05) and there was no significant difference of serum potassium and body weight before and after treatment in the two groups (all P>0.05); (4) After treatment of 6 months, LVEF in the treatment group was higher than that in the control group and LVEDD, LVESD, pulmonary artery pressure, NT-pro BNP, and blood pressure in the treatment group were lower than those in the control group (all P<0.05). There was no significant difference of RVED, RAED, serum potassium and body weight between the two groups after treatment (all P>0.05); (5)The difference values before and after treatment of LVEF, LVEDD, LVESD, NT-pro BNP, body weight, systolic blood pressure, and diastolic blood pressure were different between the two groups (all P<0.05); (6)Therapy method ( β=-1.863, 95% CI -2.948-0.777, P=0.001) and residual urine ( β=-1.686, 95% CI -3.079- -0.293, P=0.018) were independent influencing factors of treatment effect (the treatment effect of ARNI was better than that of valsartan; the treatment effect of patients with normal urine volume was better than that of patients with oliguria and anuria). Conclusions:ARNI can effectively improve cardiac function in MHD patients with heart failure, inhibit ventricular remodeling, and improve disease prognosis.

Objective: This study was designed to investigate the protective effects of didymin (Did) on doxorubicin (DOX)-induced cardiotoxicity. Methods: After pretreatment with Did (2, 4, 8 mg/kg intraperitoneal i.p.) for 7 d, the male C57 mice were injected with single dose of DOX (20 mg/kg i.p.). The cardioprotective effect of Did was observed on the 7th day after DOX treatment. Results: DOX delayed body growth and caused cardiac tissue injury, oxidative stress, and mitochondrial dysfunction. Similar experiments in H9C2 cardiomyocytes showed that DOX reduced cell viability, increased generation of reactive oxygen species (ROS) and fragmentation of DNA, decreased mitochondrial membrane potential, and induced cardiomyocyte apoptosis. However, all of these adverse effects were suppressed by Did pretreatment. Did increased protein expression of glutamate-L-cysteine ligase catalytic subunit (GCL), heme oxygenase 1 (HO-1), and nuclear factor erythroid 2-related factor 2 (Nrf2). Besides, Did also induced activation of PI3K/AKT. Conclusion: These findings indicated Did prevented DOX-induced cardiac injury and apoptosis via activating PI3K/AKT/Nrf2 signaling pathway.

Realtime xCELLigence analysis (RTCA) is a new cell detection technology to continuously monitor, record and analyze a variety of information generated by cell activity. In drug research, it plays an important role in assessing myocardial toxicity and cell biological activity. Here, we first introduce the underlying mechanisms and characteristics of RTCA. Then we review the applications of RTCA in the research of myocardial toxicity and cell biological activity, to provides the fundamental baseline for understanding and exploiting RTCA. With the real-time, unlabeled, non-invasive, high throughput, and high accuracy features, RTCA not only promotes drug research and development, but also has a broad and good application prospect in other fields.
Pharmaceutical Preparations

Background and Objectives: p21, an important member of the Cip/Kip family, is involved in inhibitory effects of RUNX1b overexpression during the early stage of human hematopoiesis. Methods: and Results: We established a human embryonic stem cell (hESC) line with inducible expression of p21 (p21/hESCs). Overexpression of p21 did not influence either mesoderm induction or emergence of CD34＋ cells, but it significantly decreased the production of CD43＋ cells and changed the expression profile of hematopoiesis-related factors, leading to the negative effects of p21 on hematopoiesis. Conclusions In RUNX1b/hESC co-cultures when RUNX1b was induced from D0, perturbation of the cell cycle caused by upregulation of p21 probably prevented the appearance of CD43＋ cells, but not CD34＋ cells. The mechanisms via which CD34＋ cells are blocked by RUNX1b overexpression remain to be elucidated.

Objective: To investigate the visual acuity of primary and middle school students in Ningxia by using decision tree model and logistic regression, and to provide evidence for the prevention and control of visual acuity. Methods: Using stratified cluster sampling method, 3 257 children aged 7-18 years were randomly selected from Yinchuan and Wuzhong in Ningxia. Visual acuity test and questionnaire survey were conducted. The C 5.0 algorithm in Clementine12.0 and Logistic regression were used to analyze the factors associated with visual acuity. Results: The overall rate of low vision of the middle school of Ningxia was 62.6%, with girls (68.1%) higher than that of boys(56.8%)(P<0.01). There was a significant difference in the prevalence of low vision among different educational stages(P<0.01), with high school students had the highest detection rate(82.2%). Results of decision tree C 5.0 algorithm showed that educational stage, gender, time to do homework after school and frequency of moderate intensity exercise per week associated with poor eyesight of primary and secondary school students. Logistic regression results showed that girls, the distance between the eyes and the computer display screen <66 cm(OR=1.24, 95%CI=1.00-1.52), and the distance between the eyes and the textbook when reading was less than one foot (OR=2.05, 95%CI=1.23-3.40) were positively associated with poor vision. Low grade students and homework time <2 hours after school (OR=0.76, 95%CI=0.62-0.92) were negatively associated with lower risk of poor vision. Conclusion Educational stage, gender and time of homework after school are associated with the visual acuity of primary and secondary school students in Ningxia. It is suggested that prevention of myopia should start from the low-grade students, reducing after-school work for primary and secondary school students, and increasing outdoor activities. All the girls should be encouraged to engage in more outdoor activities, to prevent the occurrence and development of myopia.