Objective:To understand the prevalence and characteristics of Rhinovirus (HRV) infection in influenza-like Illness (ILIs) patients in Mianyang, Sichuan province, China.Methods:Throat swabs were collected from patients of ILIs in sentinel hospitals in Mianyang during 2021—2022. Real-time fluorescence quantitative PCR was used to detect 16 common pathogens. The VP4/VP2 coding region genes of HRV positive samples were amplified by nest PCR. The phylogeny, consistency and amino acid variation of different serotypes were analyzed and compared with reference sequences from GenBank database.Results:A total of 332 ILIs′ samples were collected with a virus detection rate of 58.73% (195/332) in Mianyang. Among them, 23 samples (23/332) were HRV-positive, and 18 VP4/VP2 sequences of HRV strains were successfully amplified. It was found that 13 HRV serotypes were detected in ILIs samples in Mianyang, which belonged to three genotypes, namely HRV-A (12 strains), HRV-B (5 strains) and HRV-C (1 strain).Conclusions:HRV was one of the pathogens of ILIs cases in Mianyang during 2021—2022, with HRV-A types as the dominant strains.

OBJECTIVE: To investigate the application of 3D printing percutaneous surgical guide plate in closed reduction and cannulated screw internal fixation of femoral neck fracture. METHODS: The clinical data of 12 patients with femoral neck fracture from March 2019 to March 2022 were retrospectively analyzed. Patients were divided into observation group and control group according to different operation plans, with 6 cases in each group. The observation group received percutaneous operation guide plate assisted closed reduction and hollow screw internal fixation, while the control group received closed reduction and hollow compression screw internal fixation. The operation time, intraoperative blood loss, fluoroscopy times, and Kirschner needle puncture times were compared between two groups. The location of screws were recordedon postoperative X-ray films, follow-up time, time of complete fracture healing, Harris score of hip joint and the incidence of complications were recorded on postoperative X-ray films. RESULTS: The operation time of observation group (32.17±6.18) min was shorter than that of control group (53.83±7.31) min (P<0.05). The amount of intraoperative bleeding in the observation group (18.33±2.94) ml was less than that in the control group (38.17±5.56) ml(P<0.05). The times of fluoroscopy in the observation group (7.50±1.05) were less than those in the control group (21.00±4.82) (P<0.05). The number of Kirschner needle punctures (8.00±0.63) in observation group was less than that in control group (32.67±3.08) (P<0.05). The follow-up time was(12.88±0.74) months in observation group and (12.83±0.72) months in control group, there was no significant difference between two groups (P>0.05). One year after operation, Harris score of hip joint in the observation group was(82.00±4.52) points, while that in the control group was(81.00±3.41) points, there was no significant difference between two groups(P>0.05). The time of complete fracture healing in the observation group was (7.50±1.05) months, while that in the control group was (7.67±1.21) months, there was no significant difference between two groups(P>0.05). The parallelism of the screws in the observation group was (0.50±0.11) ° and (0.76±0.15) °, which were lower than that in the control group (1.57±0.31) ° and (1.87±0.21) ° (P<0.05). The screw distribution area ratio (0.13±0.02) cm2 in the observation group was higher than that in the control group (0.08±0.01) cm2 (P<0.05). No complications such as necrosis of femoral head, nonunion of fracture, shortening of femoral neck and withdrawal of internal fixation occurred in both groups. CONCLUSION The application of 3D printing percutaneous surgical guide plate improves the accuracy and safety of closed reduction and cannulated screw internal fixation for femoral neck fracture. It has the advantages of minimally invasive, reducing radiation exposure, fast and accurate, shortening the operation time and reducing intraoperative bleeding.
Humans ; Retrospective Studies ; Treatment Outcome ; Femoral Neck Fractures/surgery* ; Fracture Fixation, Internal ; Bone Screws ; Printing, Three-Dimensional

This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.
Male ; Humans ; Prostate/pathology* ; Prostate-Specific Antigen/analysis* ; Prostatic Neoplasms/diagnostic imaging* ; Biopsy ; Nomograms ; Retrospective Studies

Genetic risk factors have been shown to contribute to the development of sexual dysfunction. However, the role of methylenetetrahydrofolate reductase (MTHFR) gene variants in the risk of erectile dysfunction (ED) remains unclear. In this study, we recruited 1254 participants who underwent ED assessed by the International Index of Erectile Function-5. The MTHFR c.677C>T variant was also measured by fluorescence polymerase chain reaction (PCR). No significant difference in the genotypic frequency of the MTHFR C677T polymorphism (CC, CT, and TT) was observed between men from the ED and non-ED groups. In addition, on binary logistic regression analysis, both crude and adjusted models showed that the risk of ED was not significantly associated with the C677T polymorphism. Interestingly, a significantly higher frequency of the 677TT polymorphism was found in severe and moderate ED (P = 0.02). The positive correlation between the MTHFR 677TT polymorphism and severe ED was confirmed by logistic regression analysis, even after adjusting for potential confounders (odds ratio [OR] = 2.46, 95% confidence interval [CI]: 1.15-5.50, P = 0.02). These findings suggest a positive correlation between the MTHFR 677TT polymorphism and the risk of severe ED. Identification of MTHFR gene polymorphisms may provide complementary information for ED patients during routine clinical diagnosis.

ObjectiveTo explore the mechanism of Cervi Cornu Pantotrichumin in the treatment of osteoarthritis by network pharmacology. MethodThe active ingredients and the corresponding targets of Cervi Cornu Pantotrichumin were screened out by a Bioinformatics Analysis Tool of Molecular mechANism of Traditional Chinese Medicine （BATMAN-TCM）. The targets related to osteoarthritis were obtained through GeneCards and Online Mendelian Inheritance in Man （OMIM）. The targets corresponding to the active ingredients and those related to osteoarthritis were intersected to reveal the common targets， and STRING was adopted to build a protein-protein interaction （PPI） network. DAVID was used for gene ontology （GO） annotation and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment on the anti-osteoarthritis targets of Cervi Cornu Pantotrichumin， and R x64 3.6.3 was employed to produce the advanced bubble charts of GO terms and KEGG pathways. Cytoscape 3.7.2 was used to establish the “Chinese medicinal herb-active ingredient-target-signaling pathway” network. In vitro experiments were performed to detect the viability of RAW 264.7 cells exposed to oxidative stress and the tumor necrosis factor （TNF）-α level in RAW 264.7 cells with inflammation under the treatment by Cervi Cornu Pantotrichumin. ResultA total of 20 active ingredients of Cervi Cornu Pantotrichum were obtained， of which ceramide， 6'-O-β-D-glucosylgentiopicroside， cerebroside， oleuropein， sphingomyelin， and cholesterol ferulate did not meet the screening conditions. Therefore， a total of 14 active ingredients were finally screened out， and 303 and 3 093 targets of active ingredients and osteoarthritis were respectively obtained. The two target sets were taken to intersect， which revealed 92 common targets. GO annotation and KEGG pathway enrichment showed that the targets were mainly involved in redox process， positive regulation of RNA polymerase Ⅱ promoter transcription， inflammatory response， protein synthesis， osteoclast differentiation， TNF signaling pathway， signaling pathways in cancer， mammalian target of rapamycin （mTOR） signaling pathway， mitogen-activated protein kinase （MAPK） signaling pathway， and cyclic adenosine monophosphate （cAMP） signaling pathway. The results of in vitro experiments showed that a certain concentration of protein in Cervi Cornu Pantotrichum significantly increased the viability of RAW 264.7 cells exposed to H₂O₂-induced oxidative damage （P<0.05， P<0.01） and reduced the level of TNF-α in the RAW 264.7 cells experiencing lipopolysaccharide （LPS）-induced inflammation （P<0.05）. ConclusionBased on the network pharmacology method， the mechanism of the multi-component， multi-target and multi-pathway treatment of OA by antler antler was explained， and the anti-inflammatory and antioxidant activities of antler antler were confirmed， which provided theoretical guidance and scientific basis for further research on the treatment of OA by antler antler.

Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9％) were men. Among them, nearly two-thirds (62.5％) of the survivors were moderate, three (9.4％) were severe, and more than half (59.4％) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6％ at 3 months to 15.8％ at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1％) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

OBJECTIVE: To explore the characteristics and clinical phenotypes of rheumatoid arthritis (RA) and provide the basis for further understanding, interventions and outcomes of this disease. METHODS: RA patients attended at Peking University People's Hospital from 2018 to 2021 were enrolled in the study. Data collection included demographic data, the sites and numbers of joints involved, extra-articular manifestations (EAM), comorbidities and laboratory variables. Statistical and bioinformatical analysis was performed to establish clinical subtypes by clustering analysis based on the type of joint involved, EAM involvement and other autoimmune diseases overlapped. The characteristics of each subtype were analyzed. RESULTS: A total of 411 patients with RA were enrolled. The mean age was (48.84±15.17) years, and 346 (84.2%) were females. The patients were classified into 4 subtypes: small joint subtype (74, 18.0%), total joint subtype (154, 37.5%), systemic subtype (100, 24.3%), and overlapping subtype (83, 20.2%). The small joint subtype had no medium or large joint involvement, and 35.1% had systemic involvement. The erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) levels and platelet count (PLT) were lower than those in other subtypes, and the rates of positive rheumatoid factors (RF-IgA and RF-IgG) were significantly higher in the small joint subtype. The total joint subtype had both large and small joint involvement but no systemic involvement. The rate of morning stiffness and positive antinuclear antibodies (ANA) in this subtype were lower than those in other subtypes. In the systemic subtype, interstitial lung disease and secondary Sjögren syndrome were the most common systemic involvements, with prominent levels of disease activity score 28-joint count (DAS28-ESR and DAS28-CRP). The overlapping subtype was commonly combined with Hashimoto's thyroiditis or primary Sjögren syndrome. Female in the overlapping subtype was more common than in other subtypes. This subtype was characterized by hyperglobulinemia, hypocomplementemia and high rate of positive ANA, especially spotting type. CONCLUSION Based on the clinical features, RA patients could be classified into 4 subtypes: small joint subtype, total joint subtype, systemic subtype, and overlapping subtype. Each subtype had its own clinical characteristics. They help for further understanding and a more individualized treatment strategy of RA.
Female ; Male ; Humans ; Cross-Sectional Studies ; Sjogren's Syndrome ; Rheumatoid Factor ; Arthritis, Rheumatoid ; Blood Sedimentation ; Phenotype

Aim To study and verify the effeet and po¬tential mechanism of punicalagin ( Pun) in the treat-ment of depression by preliminary experiments based on network pharmacology.Methods The intersection genes of Pun and depression were obtained through the database, and protein interaction ( PPI ), GO and KEGG were enriched and analyzed.Molecular docking technology was used to preliminarily verify the binding ability of Pun active components to core therapeutic targets.The depression model of CUMS mice was es¬tablished by chronic stress, and Pun was administered by gavage.Open field experiments were conducted to investigate behavior changes.The content of neuro¬transmitters in hippocampus was detected by liquid chromatography-mass spectrometry ( LC-MS / MS ).Results The results of network pharmacology showed that Pun had 76 targets involved in the occurrence of depression, and PPI network showed that the intersec¬tion genes were closely related.Proteoglycans, lipids and atherosclerosis enriched in cancer.The results of molecular docking showed that there was a good bind¬ing between the compound and the target protein.The results of animal experiments showed that Pun could in¬crease the exploration desire of open field experimental mice.The levels of DA and 5-HT in hippocampus in-creased ( P < 0.05, P < 0.01 ).Conclusions Pun can significantly reduce the depressive state of mice, and its mechanism may act on ALB and AKT1 targets, mediate proteoglycans, lipids and atherosclerotic path¬ways in cancer, so as to improve the secretion of neu¬rotransmitters.

Adult ; Connexin 43 ; genetics ; Erythrokeratodermia Variabilis ; genetics ; Female ; Heterozygote ; Humans ; Male ; Mutation ; genetics ; Mutation, Missense ; genetics ; Pedigree

Next-generation sequencing has allowed identification of millions of somatic mutations in human cancer cells. A key challenge in interpreting cancer genomes is to distinguish drivers of cancer development among available genetic mutations. To address this issue, we present the first web-based application, consensus cancer driver gene caller (C), to identify the consensus driver genes using six different complementary strategies, i.e., frequency-based, machine learning-based, functional bias-based, clustering-based, statistics model-based, and network-based strategies. This application allows users to specify customized operations when calling driver genes, and provides solid statistical evaluations and interpretable visualizations on the integration results. C is implemented in Python and is freely available for public use at http://drivergene.rwebox.com/c3.