Objective:To investigate the epidemiological and genetic characteristics of hand, foot and mouth disease (HFMD) caused by coxsackievirus A6 (CVA6) in Xi′an city from 2021 to 2023.Methods:Collected clinical cases of HFMD, epidemiological information and samples were obtained. The specimens were tested by the real-time RT-PCR for enterovirus A71(EVA71), CVA16, CVA6 and CVA10, respectively. The VP1 regions of CVA6 were amplified and sequenced, MEGA X was used for phylogenetic analysis.Results:From 2021 to 2023, a total of 1 393 HFMD samples were collected, 1 106 (79.40%, 1 106/1 393) of which were positive for enteroviruses. The proportions of EVA71, CVA16, CVA6 and CVA10 were 0.45% (5/1 106), 16.64% (184/1 106), 72.42% (801/1 106) and 2.17% (24/1 106). A total of 801 HFMD cases tested positive for CAV6, including 783 mild cases and 18 severe cases, mainly in children aged ≤5 years (86.02%, 689/801), with a male/female ratio of 1.49∶1. The composition ratio of CVA6 infection differed with year(χ 2=332.62, P<0.01), and the highest composition ratio of CVA6 was in 2023 (91.01%, 638/701). The nucleotide and amino acid similarities in the VP1 region of Xi′an strains of CVA6 were 92.4%-99.8% and 98.3%-100.0%, respectively. Compared with the CVA6 prototype strain(Gdula), the nucleotide and amino acid similarities in the VP1 region of Xi′an strains were 82.2%-84.0% and 95.4%-96.0%, respectively, and there were 18 amino acid mutations in different degrees. Based on the phylogenetic analysis of VP1 region sequences, the CVA6 strains in Xi′an city from 2021 to 2023 belonged to D3a subtype, and could be divided into two clusters with 18 strains in cluster 1 while two strain in cluster 2. Conclusions:The sub-genotype D3a of CVA6 is the predominant virus causing HFMD in Xi′an city from 2021 to 2023, and there are two transmission chains. The monitoring and prevention of CVA6 should be strengthened.

AIM:A mouse model of acute exacerbation of idiopathic pulmonary fibrosis(AE-IPF)was estab-lished.METHODS:One hundred and twenty male C57BL/6 mice were randomly divided into a negative control group,an IPF group,and an acute exacerbation of interstitial fibrosis(AE-IPF)group.The IPF group received a low dose(3 mg/kg)of bleomycin(BLM)by endotracheal drip on days 0,14,and 28.The AE-IPF group received a high dose(5 mg/kg)of BLM by endotracheal drip on day 56.The control group received an equal volume of saline at different time points.The AE-IPF group was injected with a high dose(5 mg/kg)of BLM via tracheal drip on day 56 on top of the initial IPF induction,while the control group received equal amounts of saline at different time points.Experiments were con-ducted on the 57th,59th,63rd,and 70th days after the initial modeling.Mice were observed for general conditions,CT imaging changes,HE,and Masson staining to assess the degree of alveolitis and fibrosis in lung tissues.Lung function,hydroxyproline(HYP)content in lung tissues,and interleukin-6(IL-6)content in bronchoalveolar lavage fluid(BALF)were also measured.RESULTS:Mice in the AE-IPF group exhibited wheezing,shortness of breath,dyspnea,and weight loss.CT imaging revealed that IPF group mice showed patchy,subpleural reticular fuzzy shadows with irregular thickening of interlobular septa and intralobular linear shadows,along with tractional bronchiectasis.In the AE-IPF group,new ground-glass shadows and solid shadows appeared in addition to the IPF features.AE-IPF group mice demon-strated decreased lung function,elevated lung index,and acute pulmonary edema.HE and Masson staining of AE-IPF group mice showed consistent pathological manifestations of AE-IPF.HYP content in lung tissues,total cell count in BALF,and IL-6 concentration were significantly higher in the AE-IPF group compared to the control group(P<0.05).CONCLUSION:The use of multiple tracheal drip administrations of bleomycin successfully established an AE-IPF ani-mal model in mice.The 63rd day of the experiment was identified as the optimal observation point,as it exhibited the most significant pathological features and clinical symptoms.This model provides ideal conditions for studying AE-IPF patho-genesis and evaluating therapeutic efficacy.

Objective:To investigate the epidemiological and genetic characteristics of hand, foot and mouth disease (HFMD) caused by coxsackievirus A6 (CVA6) in Xi′an city from 2021 to 2023.Methods:Collected clinical cases of HFMD, epidemiological information and samples were obtained. The specimens were tested by the real-time RT-PCR for enterovirus A71(EVA71), CVA16, CVA6 and CVA10, respectively. The VP1 regions of CVA6 were amplified and sequenced, MEGA X was used for phylogenetic analysis.Results:From 2021 to 2023, a total of 1 393 HFMD samples were collected, 1 106 (79.40%, 1 106/1 393) of which were positive for enteroviruses. The proportions of EVA71, CVA16, CVA6 and CVA10 were 0.45% (5/1 106), 16.64% (184/1 106), 72.42% (801/1 106) and 2.17% (24/1 106). A total of 801 HFMD cases tested positive for CAV6, including 783 mild cases and 18 severe cases, mainly in children aged ≤5 years (86.02%, 689/801), with a male/female ratio of 1.49∶1. The composition ratio of CVA6 infection differed with year(χ 2=332.62, P<0.01), and the highest composition ratio of CVA6 was in 2023 (91.01%, 638/701). The nucleotide and amino acid similarities in the VP1 region of Xi′an strains of CVA6 were 92.4%-99.8% and 98.3%-100.0%, respectively. Compared with the CVA6 prototype strain(Gdula), the nucleotide and amino acid similarities in the VP1 region of Xi′an strains were 82.2%-84.0% and 95.4%-96.0%, respectively, and there were 18 amino acid mutations in different degrees. Based on the phylogenetic analysis of VP1 region sequences, the CVA6 strains in Xi′an city from 2021 to 2023 belonged to D3a subtype, and could be divided into two clusters with 18 strains in cluster 1 while two strain in cluster 2. Conclusions:The sub-genotype D3a of CVA6 is the predominant virus causing HFMD in Xi′an city from 2021 to 2023, and there are two transmission chains. The monitoring and prevention of CVA6 should be strengthened.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

AIM:A mouse model of acute exacerbation of idiopathic pulmonary fibrosis(AE-IPF)was estab-lished.METHODS:One hundred and twenty male C57BL/6 mice were randomly divided into a negative control group,an IPF group,and an acute exacerbation of interstitial fibrosis(AE-IPF)group.The IPF group received a low dose(3 mg/kg)of bleomycin(BLM)by endotracheal drip on days 0,14,and 28.The AE-IPF group received a high dose(5 mg/kg)of BLM by endotracheal drip on day 56.The control group received an equal volume of saline at different time points.The AE-IPF group was injected with a high dose(5 mg/kg)of BLM via tracheal drip on day 56 on top of the initial IPF induction,while the control group received equal amounts of saline at different time points.Experiments were con-ducted on the 57th,59th,63rd,and 70th days after the initial modeling.Mice were observed for general conditions,CT imaging changes,HE,and Masson staining to assess the degree of alveolitis and fibrosis in lung tissues.Lung function,hydroxyproline(HYP)content in lung tissues,and interleukin-6(IL-6)content in bronchoalveolar lavage fluid(BALF)were also measured.RESULTS:Mice in the AE-IPF group exhibited wheezing,shortness of breath,dyspnea,and weight loss.CT imaging revealed that IPF group mice showed patchy,subpleural reticular fuzzy shadows with irregular thickening of interlobular septa and intralobular linear shadows,along with tractional bronchiectasis.In the AE-IPF group,new ground-glass shadows and solid shadows appeared in addition to the IPF features.AE-IPF group mice demon-strated decreased lung function,elevated lung index,and acute pulmonary edema.HE and Masson staining of AE-IPF group mice showed consistent pathological manifestations of AE-IPF.HYP content in lung tissues,total cell count in BALF,and IL-6 concentration were significantly higher in the AE-IPF group compared to the control group(P<0.05).CONCLUSION:The use of multiple tracheal drip administrations of bleomycin successfully established an AE-IPF ani-mal model in mice.The 63rd day of the experiment was identified as the optimal observation point,as it exhibited the most significant pathological features and clinical symptoms.This model provides ideal conditions for studying AE-IPF patho-genesis and evaluating therapeutic efficacy.

BACKGROUND:Tissue flossing is a new injury prevention tool and auxiliary exercise training strategy.Tissue flossing can increase joint range of motion,improve athletic performance,and relieve pain,and is increasingly widely used in the field of sports and rehabilitation. OBJECTIVE:To review the mechanism of tissue flossing and its application in sports and rehabilitation to provide a reference for follow-up research. METHODS:"Tissue flossing;compression tissue flossing;floss band;voodoo flossband;blood flow restriction;shearing of fascia;musculoskeletal rehabilitation;sport injury"were used as Chinese and English search terms to search on the databases of CNKI,WanFang,VIP,PubMed and EBSCO databases.Relevant articles from January 2000 to October 2022 were retrieved,and 86 articles were finally included according to inclusion and exclusion criteria. RESULTS AND CONCLUSION:Tissue flossing intervention can improve lower limb joint motion,improve sprint and jump performance,promote joint injury rehabilitation,and relieve pain subjectively.However,tissue flossing intervention did not improve the range of motion of the upper limb.There is still controversy on the acute enhancement of lower limb muscle strength.It has a good tendency to improve lower limb balance and stability and improve mental state,but more studies are needed to confirm.The possible mechanisms of tissue flossing intervention are mainly fascia shear,pain gating,blood flow restriction and reperfusion,and compression.Tissue flossing is a useful treatment option that can provide important contributions in the future in the areas of sports training,sports injury prevention and rehabilitation,but more long-term in-depth studies are needed.

Objective:To explore the material basis and potential mechanism of Sanhuang Yishen Capsules in the treatment of diabetes through network pharmacology, molecular docking and experimental verification.Methods:The active components and targets of Sanhuang Yishhen Capsules were screened using China Natural product chemical composition database and SymMap database, and the related targets of T2DM were screened by GeneCards database. The "Chinese materia medica-active component-target" network was constructed, and the intersection genes were enriched by GO and KEGG using R language. Key active components were selected for molecular docking verification with potential core targets. 60 rats were divided into normal group, model group, and Sanhuang Yishen Capsules group according to random number table method, with 15 rats in each group. In addition to the normal group, the diabetic rat model was prepared in the other groups, and the corresponding drugs were intragastric in each group for 8 weeks. The levels of fasting blood glucose (FBG), fasting insulin (FINS) and insulin resistance index (HOMA-IR) were measured by radioimmunoassay. Western blotting was used to detect protein expressions of epidermal growth factor receptor (EGFR), epidermal growth factor (EGF), Akt serine/threonine kinase 1 (AKT1), recombinant tumor protein p53 (TP53), and recombinant caspase 3 (CASP3).Results:A total of 160 active components and 298 targets of Sanhuang Yishen Capsules, 2194 targets related to T2DM, and 166 intersection targets were obtained. GO and KEGG analyzed a series of biological reaction processes mainly involved in signal transduction, oxidative stress, apoptosis, etc., and mainly involved in the regulation of P13K/Akt, P53, CASP3 and other targets. The results of molecular docking showed that the main active components obtained by screening had strong binding with the target. Compared with model group, FBG, FINS, HOMA-IR, TP53 and CASP3 in Sanhuang Yishen Capsules group decreased ( P<0.05), EGFR, EGF and Akt1 proteins increased ( P<0.05). Conclusion:The mechanism of Sanhuang Yishen Capsules for the treatment of may be related to the regulation of EGF/EGFR/P13K/Akt signaling pathway, TP53 signaling pathway, CASP3 signaling pathway, PPARG signaling pathway, ESR1 signaling pathway, PTGS2 signaling pathway, CAT signaling pathway and CTNNB1 signaling pathway.