Nitazoxanide is an FDA-approved antiprotozoal drug. Our previous study found that oral administration of nitazoxanide inhibited Western diet (WD)-induced hepatic steatosis in ApoE^-/- mice. However, the specific mechanism remains to be elucidated. In the present study, we performed an untargeted metabolomics approach to reveal the effect of nitazoxanide on the liver metabolic profiles in WD-fed ApoE^-/- mice, and carried out the cellular experiments to elucidate the underlying mechanisms. UPLC-MS-based untargeted metabolomics analysis was used to investigate the effect of nitazoxanide on global metabolite changes in liver tissues. The differential metabolites were screened for enrichment analysis and pathway analysis. Hepatocytes were treated with tizoxanide, the metabolite of nitazoxanide, to investigate the underlying mechanism based on the findings in metabolomics study. The improvement of liver lipid metabolism disorders by nitazoxanide treatment in WD-fed ApoE^-/- mice was mainly through regulating glycerophospholipid metabolism, D-glutamine and glutamate metabolism, glutathione metabolism, and arginine biosynthesis metabolism. Tizoxanide, the active metabolite of nitazoxanide, increased glutathione (GSH) contents and glutamate-cysteine ligase catalytic subunit (Gcl-c) and glutathione reductase (Gsr) mRNA expressions in HepG2 cells. Tizoxanide increased cystathionine β-synthase (CBS) and phosphatidylethanolamine N-methyltransferase (PEMT) protein levels, inhibited lipid accumulation in hepatocytes induced by free fatty acid (FFA). Tizoxanide increased S-adenosyl-L-homocysteine hydrolase (SAHH) protein levels in HepG2 cells and mouse primary liver cells stimulated with free fatty acid (FFA). Tizoxanide increased N-acetyl glutamate synthase (Nags) and carbamoylphosphate synthetase 1 (Cps1) mRNA expressions in HepG2 cells. In conclusion, nitazoxanide improves WD-induced hepatic steatosis in ApoE^-/- mice and the underlying mechanisms include increasing CBS expression, GSH content, PEMT protein expression, Nags and Cps1 mRNA expression in hepatocytes.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Tumor microenvironment (TME) is composed of endothelial cells, pericytes, immune cells, cancer-associated fibroblasts (CAFs), cancer stem cells (CSCs), extracellular matrix (ECM) and other components of the complex biological environment. TME interacts with the tumor cells through a large amount of signaling pathways, participates in the process of tumor progression, invasion, and metastasis. Hence, TME has become a potential therapeutic target for cancer treatment, exhibiting excellent therapeutic potential and research value in the field of cancer treatment. Currently, the novel nanotechnology has been widely applied in anticancer therapy, and nanotechnology-mediated drug delivery system is being explored to apply in TME modulation to inhibit tumor progression. Nanotechnology-mediated drug delivery has many advantages over traditional therapeutic modalities, including longer circulation times, improved bioavailability, and reduced toxicity. This review summarized the research of targeted nano-drug delivery based on TME regulation, including regulation strategies based on CSCs, CAFs, immune cells, ECM, tumor vascularization, exosomes, and microbiota. In addition, we summarized the advantages, opportunities, and challenges of TME regulation strategy compared with traditional treatment strategy, which provides a reference for the application of nano-drug delivery system based on TME regulation strategy in tumor precision therapy.

This study collected epidemic data of COVID-19 in Zhengzhou from January 1 to January 20 in 2022. The epidemiological characteristics of the local epidemic in Zhengzhou High-tech Zone caused by the SARS-CoV-2 Delta variant were analyzed through epidemiological survey and big data analysis, which could provide a scientific basis for the prevention and control of the Delta variant. In detail, a total of 276 close contacts and 599 secondary close contacts were found in this study. The attack rate of close contacts and secondary close contacts was 5.43% (15/276) and 0.17% (1/599), respectively. There were 10 confirmed cases associated with the chain of transmission. Among them, the attack rates in close contacts of the first, second, third, fourth and fifth generation cases were 20.00% (5/25), 17.86% (5/28), 0.72% (1/139) and 14.81% (4/27), 0 (0/57), respectively. The attack rates in close contacts after sharing rooms/beds, having meals, having neighbor contacts, sharing vehicles with the patients, having same space contacts, and having work contacts were 26.67%, 9.10%, 8.33%, 4.55%, 1.43%, and 0 respectively. Collectively, the local epidemic situation in Zhengzhou High-tech Zone has an obvious family cluster. Prevention and control work should focus on decreasing family clusters of cases and community transmission.
Humans ; SARS-CoV-2 ; COVID-19 ; Epidemics ; Incidence

Management and treatment of terminal metastatic castration-resistant prostate cancer (mCRPC) remains heavily debated. We sought to investigate the efficacy of programmed cell death 1 (PD-1) inhibitor plus anlotinib as a potential solution for terminal mCRPC and further evaluate the association of genomic characteristics with efficacy outcomes. We conducted a retrospective real-world study of 25 mCRPC patients who received PD-1 inhibitor plus anlotinib after the progression to standard treatments. The clinical information was extracted from the electronic medical records and 22 patients had targeted circulating tumor DNA (ctDNA) next-generation sequencing. Statistical analysis showed that 6 (24.0%) patients experienced prostate-specific antigen (PSA) response and 11 (44.0%) patients experienced PSA reduction. The relationship between ctDNA findings and outcomes was also analyzed. DNA-damage repair (DDR) pathways and homologous recombination repair (HRR) pathway defects indicated a comparatively longer PSA-progression-free survival (PSA-PFS; 2.5 months vs 1.2 months, P = 0.027; 3.3 months vs 1.2 months, P = 0.017; respectively). This study introduces the PD-1 inhibitor plus anlotinib as a late-line therapeutic strategy for terminal mCRPC. PD-1 inhibitor plus anlotinib may be a new treatment choice for terminal mCRPC patients with DDR or HRR pathway defects and requires further investigation.
Male ; Humans ; Prostate-Specific Antigen ; Treatment Outcome ; Prostatic Neoplasms, Castration-Resistant/drug therapy* ; Immune Checkpoint Inhibitors/therapeutic use* ; Retrospective Studies

BACKGROUND: Polycystic ovary syndrome (PCOS) is the primary cause of anovulatory infertility, bringing serious harm to women's physical and mental health. Acupuncture may be an effective treatment for PCOS. However, systematic reviews (SRs) on the efficacy and safety of acupuncture for PCOS have reported inconsistent results, and the quality of these studies has not been adequately assessed. OBJECTIVE: To summarize and evaluate the current evidence on the efficacy and safety of acupuncture for PCOS, as well as to assess the quality and risks of bias of the available SRs. SEARCH STRATEGY: Nine electronic databases (Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL, Chinese National Knowledge Infrastructure, Wanfang Data, Chongqing VIP Chinese Science and Technology Periodical Database, and China Biology Medicine disc) were searched from their establishment to July 27, 2022. Based on the principle of combining subject words with text words, the search strategy was constructed around search terms for "acupuncture," "polycystic ovary syndrome," and "systematic review." INCLUSION CRITERIA: SRs of randomized controlled trials that explored the efficacy and (or) safety of acupuncture for treating patients with PCOS were included. DATA EXTRACTION AND ANALYSIS: Two authors independently extracted study data according to a predesigned form. Tools for evaluating the methodological quality, risk of bias, reporting quality, and confidence in study outcomes, including A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2), Risk of Bias in Systematic Reviews (ROBIS), Preferred Reporting Items for Systematic Reviews and Meta-analyses for Acupuncture (PRISMA-A), and the Grading of Recommendations Assessment, Development and Evaluation (GRADE), were used to score the included SRs. RESULTS: A total of 885 studies were retrieved, and 11 eligible SRs were finally included in this review. The methodological quality of 2 SRs (18.18%) was low, while the other 9 SRs (81.82%) were scored as extremely low. Four SRs (36.36%) were considered to be of low risk of bias. As for reporting quality, the reporting completeness of 9 SRs (81.82%) was more than 70%. Concerning the confidence in study results, 2 study results were considered to have a high quality of evidence (3.13%), 14 (21.88%) a "moderate" quality, 28 (43.75%) a "low" quality, and 20 (31.24%) considered a "very low" quality. Descriptive analyses suggested that combining acupuncture with other medicines can effectively improve the clinical pregnancy rate (CPR) and ovulation rate, and reduce luteinizing hormone/follicle-stimulating hormone ratio, homeostasis model assessment of insulin resistance, and body mass index (BMI). When compared with medicine alone, acupuncture alone also can improve CPR. Further, when compared with no intervention, acupuncture had a better effect in promoting the recovery of menstrual cycle and reducing BMI. Acupuncture was reported to cause no adverse events or some adverse events without serious harm. CONCLUSION The efficacy and safety of acupuncture for PCOS remains uncertain due to the limitations and inconsistencies of current evidence. More high-quality studies are needed to support the use of acupuncture in PCOS.
Pregnancy ; Humans ; Female ; Polycystic Ovary Syndrome/etiology* ; Acupuncture Therapy/adverse effects* ; Infertility, Female/etiology* ; China

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Objective:To construct a quality evaluation index system for postoperative rehabilitation in children with developmental dislocation of the hip (DDH) .Methods:From August to November 2021, a quality evaluation index system for postoperative rehabilitation in children with DDH was established through literature review, group discussion, and Delphi expert consultation. The analytic hierarchy process was used to determine the weights of various indicators. The positive coefficient of experts was expressed by the effective response rate of the questionnaire. The authority level of experts was represented by the authority coefficient ( Cr) , which was determined by the expert judgment coefficient ( Ca) and the expert familiarity level ( Cs) . The degree of coordination of expert opinions was represented by the Kendall harmony coefficient (Kendall's W) . The degree of concentration of expert opinions was represented by the average score of importance assignment, coefficient of variation, and full score rate. Results:The effective response rates of the two rounds of expert consultation questionnaires were 90.00% and 100.00%, respectively. The Cr of experts in two rounds were 0.785 and 0.815, and the Kendall harmony coefficients were 0.098-0.193 and 0.147-0.212 ( P<0.05) . In the second round of expert consultation, the average scores of importance assignment for all levels of indicators were≥4.0, with coefficients of variation of 0-0.24 and a full score rate of ≥50%. The final quality evaluation index system for postoperative rehabilitation in children with DDH included 3 first-level indicators, 9 second-level indicators, and 37 third-level indicators. In the consistency test results of each indicator at all levels, all of the CI were <0.001, and all of the CR were<0.001. Conclusions:The construction process of the quality evaluation index system for postoperative rehabilitation in children with DDH is scientific, and the weight distribution of the indicators is reasonable, which can be used as an effective tool for evaluating the postoperative rehabilitation quality of DDH children.

Objective: To compare the effects of the China Children's Asthma Action Plan (CCAAP)-based remote joint management model with traditional management model on the control of childhood asthma. Methods: A retrospective cohort study was conducted to analyze the general data and asthma control assessment data of 219 children with asthma who attended the respiratory department of Guangzhou Women's and Children's Medical Center from April 2021 to October 2021 and were followed up for 1 year or more. According to the follow-up management model, the CCAAP-based remote joint management model was used in the observation group and the traditional management model was used in the control group, and the propensity score matching method was applied to match the data of children in the two management models for comparison. Paired-samples t-test, Wilcoxon signed-rank test, McNemar χ²-test or χ²-test or nonparametric tests were used to compare the general data and asthma control assessment data between the two matched groups of children. Results: Among 219 children with asthma, 145 were male and 74 were female, aged at consultation (7.2±2.4) years. There were 147 cases in the observation group and 72 cases in the control group, and 27 cases in each of the observation and control groups were successfully matched. The number of asthma exacerbation aura, acute exacerbations, and emergency room visits or hospitalizations for asthma exacerbations were lower in the observation group than in the control group after pairing (1 (0, 2) vs. 3 (1, 5) times, 0 (0,0) vs. 0 (0, 1) times, 0 (0,0) vs. 1 (0, 1) times, Z=-3.42, -2.58, -3.17, all P<0.05). The use of peak flowmeters was higher in children aged 5 years and older in the observation group than in the control group after pairing (100% (22/22) vs. 13% (3/23), χ²=54.00,P<0.001). The ratio of actual to predicted 1st second expiratory volume of force after follow-up in the observation group after pairing was higher than that before follow-up in the observation group and after follow-up in the control group ((95±11)% vs. (85±10)%, (95±11)% vs. (88±11)%, t=-3.40, 2.25, all P<0.05). The rate of complete asthma control after follow-up was higher in both the observation and control groups after pairing than before follow-up for 12 months in both groups (93% (25/27) vs. 41% (11/27), 52% (14/27) vs. 41% (11/27), H=56.19, 45.37, both P<0.001), and the rate of complete control of asthma in children in the observation group was higher than that in the control group at 3 and 12 months of follow-up management (56% (15/27) vs. 25% (5/20), 93% (25/27) vs. 52% (14/27), χ²=47.00, 54.00, both P<0.001). The number of offline follow-up visits, inhaled hormone medication adherence scores, and caregiver's asthma perception questionnaire scores were higher in the observation group than in the control group after pairing (6 (4, 8) vs. 4 (2,5), (4.8±0.3) vs. (4.0±0.6) score, (19.3±2.6) vs. (15.2±2.7) score, Z=6.58, t=6.57, 5.61, all P<0.05), and the children in the observation group had lower school absences, caregiver absences, asthma attack visit costs, and caregiver PTSD scores than the control group (0 (0,0) vs.3 (0, 15) d, 0 (0,0) vs. 3 (0, 10) d, 1 100 (0, 3 700) vs. 5 000 (1 000, 10 000) yuan, 1.3 (1.1, 1.9) vs. 2.0 (1.2, 2.7) score, Z=-2.89, -2.30, 2.74, 2.73, all P<0.05). Conclusion: The CCAAP-based joint management model of asthma control is superior to the traditional management model in the following aspects: it can effectively improve asthma control, self-monitoring, and lung function in children; it can improve treatment adherence and caregivers' asthma awareness; and it can reduce the duration of absenteeism from school, the cost of asthma exacerbation visits, and caregiver's negative psychology.
Humans ; Child ; Female ; Male ; Retrospective Studies ; Asthma/therapy* ; China ; Hospitalization ; Hospitals