Objective:To clarify the effects of simple subtalar fusion on distribution of plantar pressures.Methods:A retrospective study was conducted to analyze the 19 patients who had undergone simple subtalar fusion between January 2006 and December 2020 at Department of Orthopedics, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine. There were 13 males and 6 females with an age of (42.1±11.8) years and a duration of disease of 1.7 (1.0, 2.0) years. Another 14 normal subjects were recruited as normal controls [7 males and 7 females, with an age of (25.0±1.9) years]. The data of plantar pressure distribution were detected and analyzed by a Belgian Footscan? plantar pressure tester. The affected and healthy sides of the patients were compared with those of the normal group to analyze the peak pressures on different foot regions.Results:There was no significant difference in height or weight between the patients and the normal subjects ( P>0.05). The peak pressures on the first to the third metatarsal region of the forefoot and the medial region of the hindfoot of the affected foot were significantly lower than those of the normal foot in the patients ( P<0.05). The peak pressure on the forefoot region of a normal foot appeared in the third metatarsal region. In the patients, the peak pressure on the forefoot region of a healthy side shifted inward and appeared in the second metatarsal region, but the peak pressure on the forefoot region of an affected side shifted laterally and appeared in the fourth metatarsal region. The peak pressure on the midfoot of an affected side [(4.38±2.17) N/cm 2] was significantly higher than that on a healthy side [(3.04±1.80) N/cm 2] in the patients ( P=0.035). The peak pressures on the medial and lateral hindfoot regions of a healthy side were (7.12±1.91) N/cm 2 and (7.98±2.03) N/cm 2, respectively, showing no significant difference ( P=0.086). The peak pressure on the lateral hindfoot region of an affected side [(10.77±4.21) N/cm 2] was significantly higher than that on the medial hindfoot region [(8.71±2.89) N/cm 2] ( P=0.009). The peak plantar pressures on the affected side shifted to the lateral side in the patients. Conclusions:Subtalar fusion can exert significant effects on the distribution of plantar pressures. Specifically, the plantar pressures shift to the lateral side of an affected foot during all the gait stages while the plantar pressures on the healthy forefoot may compensate by transferring to the medial side in the patients.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Objective To explore the establishment,implementation,and outcomes of an integrated physician-nurse team-based comprehensive management model for breast cancer chemotherapy outpatients,ai-ming to provide a reference for standardized patient care.Methods In January 2019,the Breast Surgery De-partment of Peking Union Medical College Hospital developed an integrated physician-nurse team and estab-lished a full-cycle management pathway covering the pre-chemotherapy,chemotherapy,and inter-cycle phases.This model featured appointment-based scheduling,time-segmented visits,and closed-loop patient management.Key performance indicators-including healthcare efficiency,chemotherapy safety,staffing ratios,and satisfaction levels among patients and healthcare providers-were compared between pre-implementation(2018)and post-imple-mentation(2019)periods.Results Before implementation,patient waited times ranged from 30 to 120(75.40±20.97)minutes,with an annual chemotherapy volume of 8 715 cases.Two ward nurses were routinely redeployed daily to support the chemotherapy clinic.Post-implementation,patients received timely chemotherapy per scheduled appointments without delays,annual chemotherapy volume in-creased to 10 101 cases,and staffing between two chemotherapy units became flexibly adjustable.Ward nurses transitioned from an on-call to a reserve role.Adverse events(chemotherapy-related,catheter-related,and nursing incidents)remained at 0,consistent with pre-implementation levels.Both patient and staff satisfaction scores significantly improved across all domains(all P＜0.05).Conclusions The integrated physician-nurse team-based chemotherapy management model enhances service efficiency,ensures treatment safety,optimizes workforce allocation,and improves satisfaction among patients and healthcare providers.

Objective To explore the establishment,implementation,and outcomes of an integrated physician-nurse team-based comprehensive management model for breast cancer chemotherapy outpatients,ai-ming to provide a reference for standardized patient care.Methods In January 2019,the Breast Surgery De-partment of Peking Union Medical College Hospital developed an integrated physician-nurse team and estab-lished a full-cycle management pathway covering the pre-chemotherapy,chemotherapy,and inter-cycle phases.This model featured appointment-based scheduling,time-segmented visits,and closed-loop patient management.Key performance indicators-including healthcare efficiency,chemotherapy safety,staffing ratios,and satisfaction levels among patients and healthcare providers-were compared between pre-implementation(2018)and post-imple-mentation(2019)periods.Results Before implementation,patient waited times ranged from 30 to 120(75.40±20.97)minutes,with an annual chemotherapy volume of 8 715 cases.Two ward nurses were routinely redeployed daily to support the chemotherapy clinic.Post-implementation,patients received timely chemotherapy per scheduled appointments without delays,annual chemotherapy volume in-creased to 10 101 cases,and staffing between two chemotherapy units became flexibly adjustable.Ward nurses transitioned from an on-call to a reserve role.Adverse events(chemotherapy-related,catheter-related,and nursing incidents)remained at 0,consistent with pre-implementation levels.Both patient and staff satisfaction scores significantly improved across all domains(all P＜0.05).Conclusions The integrated physician-nurse team-based chemotherapy management model enhances service efficiency,ensures treatment safety,optimizes workforce allocation,and improves satisfaction among patients and healthcare providers.

Objective:To clarify the effects of simple subtalar fusion on distribution of plantar pressures.Methods:A retrospective study was conducted to analyze the 19 patients who had undergone simple subtalar fusion between January 2006 and December 2020 at Department of Orthopedics, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine. There were 13 males and 6 females with an age of (42.1±11.8) years and a duration of disease of 1.7 (1.0, 2.0) years. Another 14 normal subjects were recruited as normal controls [7 males and 7 females, with an age of (25.0±1.9) years]. The data of plantar pressure distribution were detected and analyzed by a Belgian Footscan? plantar pressure tester. The affected and healthy sides of the patients were compared with those of the normal group to analyze the peak pressures on different foot regions.Results:There was no significant difference in height or weight between the patients and the normal subjects ( P>0.05). The peak pressures on the first to the third metatarsal region of the forefoot and the medial region of the hindfoot of the affected foot were significantly lower than those of the normal foot in the patients ( P<0.05). The peak pressure on the forefoot region of a normal foot appeared in the third metatarsal region. In the patients, the peak pressure on the forefoot region of a healthy side shifted inward and appeared in the second metatarsal region, but the peak pressure on the forefoot region of an affected side shifted laterally and appeared in the fourth metatarsal region. The peak pressure on the midfoot of an affected side [(4.38±2.17) N/cm 2] was significantly higher than that on a healthy side [(3.04±1.80) N/cm 2] in the patients ( P=0.035). The peak pressures on the medial and lateral hindfoot regions of a healthy side were (7.12±1.91) N/cm 2 and (7.98±2.03) N/cm 2, respectively, showing no significant difference ( P=0.086). The peak pressure on the lateral hindfoot region of an affected side [(10.77±4.21) N/cm 2] was significantly higher than that on the medial hindfoot region [(8.71±2.89) N/cm 2] ( P=0.009). The peak plantar pressures on the affected side shifted to the lateral side in the patients. Conclusions:Subtalar fusion can exert significant effects on the distribution of plantar pressures. Specifically, the plantar pressures shift to the lateral side of an affected foot during all the gait stages while the plantar pressures on the healthy forefoot may compensate by transferring to the medial side in the patients.

Objective:To analyze the effects of SARS-CoV-2 infection and vaccination on virus mutation.Methods:The whole genome sequencing sequences of 2 659 local SARS-CoV-2 specimens from Jiangsu Province in 2023 were selected for analysis, and relevant information such as demographic and clinical characteristics were collected, and the effects of infection and vaccination on the genome-wide mutation rate and S gene′s selective pressure of the virus were analyzed by univariate and multivariate linear regression models.Results:The average age of these infected patients was 55.0 (31.0, 74.0) years, 1 150 cases (43.2%) in the age group of ≥60 years, 1 367 cases (51.4%) were males, 2 044 cases (76.9%) had a history of COVID-19 vaccination, and 1 629 cases (61.3%) had the first-time infection. The clinical symptoms of the infected patients were mainly mild, with a total of 2434 cases (91.5%), and 29 cases (1.1%) with severe symptoms or more. The average substitution rate of SARS-CoV-2 was 9.69 (9.38, 9.98)×10 -4 subs/site/year, and the dN/dS value of the S gene was 6.08 (5.56, 8.66), which was significantly greater than that of 1 ( P<0.001), indicating positive selection. The result of univariate and multivariate linear regression model analysis showed that the SARS-CoV-2 substitution rate was higher in those with vaccination history and reinfection, aged 20-30 years, ≥60 years, and the SARS-CoV-2 substitution rate was lower in males with moderate clinical symptoms and severe disease and above. Those with a history of vaccination and reinfection, aged 50-60 years old, ≥60 years old have smaller S gene dN/dS. Conclusions:Under the immune pressure exerted by vaccination and infection, the genome-wide mutation of SARS-COV-2 accelerated, but the non-synonymous mutation rate of the S gene decreased. The mechanism causing these phenomena needs further study.

In recent years, global outbreaks of infectious diseases, such as COVID-19, have triggered great concern about emerging infectious diseases. With the rapid development of next-generation sequencing technology and bioinformatic tools for viral metagenomics, there is now a widespread capability to detect and identify various known and unknown pathogenic microorganisms within both environmental and biological contexts. Furthermore, the continuous evolution of machine learning methods has led to the development and application of multiple rapid and highly accurate approaches for virus identification. Concurrently, owing to the continual progress in machine learning methods, several rapid and accurate virus identification techniques have been widely developed and applied. Therefore, this review aims to systematically summarize the key methodologies, frameworks, and the scope of applicability within the field of viral metagenomics, with a specific focus on virus identification and prediction. It could facilitate a deeper understanding of viral characteristics, identify potential novel pathogens, and provide technical support for the early prevention and control of infectious diseases.

In recent years, global outbreaks of infectious diseases, such as COVID-19, have triggered great concern about emerging infectious diseases. With the rapid development of next-generation sequencing technology and bioinformatic tools for viral metagenomics, there is now a widespread capability to detect and identify various known and unknown pathogenic microorganisms within both environmental and biological contexts. Furthermore, the continuous evolution of machine learning methods has led to the development and application of multiple rapid and highly accurate approaches for virus identification. Concurrently, owing to the continual progress in machine learning methods, several rapid and accurate virus identification techniques have been widely developed and applied. Therefore, this review aims to systematically summarize the key methodologies, frameworks, and the scope of applicability within the field of viral metagenomics, with a specific focus on virus identification and prediction. It could facilitate a deeper understanding of viral characteristics, identify potential novel pathogens, and provide technical support for the early prevention and control of infectious diseases.

ObjectiveTo investigate the infection of mouse norovirus (MNV) in experimental mice raised under natural conditions from 19 biological companies in Beijing. MethodsThe mice used in this study were randomly selected from mice produced by 19 companies, and 14 mice of each strain and batch were combined into one cage, totaling 1 396 cages of 19 544 mice. The fecal samples from BALB/c, C57BL/6, ICR, KM, and BALB/c-nude mice were collected. TaqMan probe fluorescence quantitative PCR method was used to detect MNV infection of mice with MNV-1 primer, and whether the mice were infected with MNV was determined according to cycle threshold (Ct value). The chi-square test was used to analyze the difference of positive rate among the fecal samples from the five types of mice. The Ct values of the positive samples were statistically described; the non-parametric test was used to analyze the differences in Ct values among the five types of mice. Results A total of 1 396 fecal samples were collected. The positive rates of fecal MNV detection in BALB/c, C57BL/6, ICR, KM, and BALB/c-nude mice were 17.65%, 39.33%, 10.57%, 18.32% and 27.4%, respectively. According to the chi-square test results, the positive rate of fecal in C57BL/6 mice was higher than that in BALB/c, ICR, and KM mice (all P<0.05), and the positive rate of BALB/c-nude mice was higher than that in ICR and BALB/c mice (P<0.001, P＜0.05) . The viral load of BALB/c-nude or C57BL/6 mice was generally greater than that of KM mice (P<0.05). ConclusionMNV-1 primers can be applied to the detection of MNV infection in mice. The positive rate of MNV in five types of experimental mice in Beijing ranges from 10% to 40%, among which C57BL/6 mice and BALB/c-nude mice have higher positive rates of MNV than the others.