Objective: To investigate the detection of natural infection with pathogens in rodents in Huzhou City, Zhejiang Province, so as to provide a basis for risk assessment and control of rodent-borne diseases. Methods: From August to September each year during the period of 2022-2024, urban residential areas, rural residential areas, key industries, farmland and cultivated land, forests, and shrublands in various counties (districts) of Huzhou City were selected as rodent surveillance sites. Rodents were captured using the trap night method. Following anesthesia, the rodents were euthanized by cervical dislocation. Species were identified based on morphological characteristics. Under sterile conditions, dissection was performed to collect liver, spleen, lung, and kidney tissues. These tissues were then mixed together, and detected for Hantavirus, Dabie bandavirus, Leptospira, and Orientia tsutsugamushi using fluorescence quantitative PCR. The detection rates of these natural infections with pathogens were analyzed across different rodent species, counties (districts), and habitats. Results: A total of 259 rodents were captured from 2022 to 2024, including Rattus norvegicus, Rattus tanezumi, Suncus murinus, Mus musculus, Leopoldamys edwardsi, Niviventer fulvescens, Rattus losea, and Apodemus agrarius. The dominant species were Rattus norvegicus (142 individuals) and Rattus tanezumi (59 individuals), collectively accounting for 77.61%. With the exception of Orientia tsutsugamushi, Hantavirus, Dabie bandavirus, and Leptospira were all detected, with detection rates of 5.02%, 1.93%, and 10.42%, respectively. Hantavirus and Leptospira were simultaneously detected in one Rattus norvegicus, yielding a mixed infection rate of 0.39%. The three pathogens were detected in rodents in Wuxing District, Nanxun District, Deqing County, Changxing County, and Anji County, with detection rates of 6.45%, 5.71%, 26.32%, 4.76%, and 24.00%, respectively. They were also detected in rodents in urban residential areas, rural residential areas, key industries, farmland, and forests, with detection rates of 28.57%, 21.57%, 10.91%, 12.50%, and 14.81%, respectively. Notably, all three pathogens were simultaneously detected in Rattus norvegicus, Rattus tanezumi, rural residential areas, and key industries. Conclusions Rattus norvegicus and Rattus tanezumi were identified as the dominant rodent species in Huzhou City. The detection of Hantavirus, Dabie bandavirus, and Leptospira, including instances of mixed infection. It is necessary to enhance surveillance and control measures targeting these key species and high-risk habitats.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.

Objective:To explore the composition of gut microbiome, the characteristics of virulence factor genes and their relationship with liver metabolic inflammation in overweight or obese children.Methods:A case-control design was conducted. From the children who visited the West China Second University Hospital of Sichuan University for medical or physical examinations between August 2021 and April 2022, a total of 23 obese children (obesity group), 8 overweight children (overweight group), and 22 healthy children (control group) were recruited. The body mass index of children was calculated after anthropometric measurements; metabolic inflammation indexes such as the levels of fasting blood glucose and hepatic function and renal function etc. were detected. The composition and abundance of gut microbiota in the feces of the children were detected by metagenomic sequencing technology and the Shannon index and Simpson index were calculated to assess the α diversity of virulence factor genes. The Wilcoxon rank-sum test was used for pairwise comparison between groups. The Spearman′s rank correlation test was used for correlation analysis, and the Benjamini-Hochberg method was used to correct the P-value of multiple tests. Results:The obese group included 23 children aged 8.5 (6.3, 11.8) years, of whom 9 (39%) were male. The overweight group consisted of 8 children aged 9.2 (5.5, 12.3) years, of whom 4 were male. The control group comprised 22 children aged 5.3 (5.1, 5.4) years, of whom 10 (45%) were male. The obese group exhibited higher levels of alanine aminotransferase (ALT), gamma-glutamyl transferase (γ-GT), globulin, and uric acid compared to those of the control group (all P<0.05), with ALT also higher than that of the overweight group ( P<0.05). The levels of fasting blood glucose, γ-GT, globulin, and uric acid in the overweight group were all higher than those in the control group (all P<0.05). The abundance of Coprococcus A (0.76 (0.00, 3.11) vs. 0.00 (0.00, 0.00), false discovery rate ( FDR)<0.05) and Parasutterella (0.89 (0.08, 1.79) vs. 0.00 (0.00, 0.08), FDR<0.05) in the gut of children in the obese group were both higher than those of the control group. The number of virulence factor genes in the obese group was higher than those of the control group (941 (886, 977) vs. 890 (807, 920), P<0.05). The Simpson index and Shannon index of gut microbial virulence factor genes in the obese group were both higher than those of the control group (0.993 (0.992, 0.993) vs. 0.991(0.990, 0.991), (5.50 (5.46, 5.56) vs. 5.37 (5.30, 5.43), both P<0.01). The abundance of gut microbiota virulence factors genes all showed positive correlations with fasting blood glucose, ALT, γ-GT, and uric acid levels in children (all r>0.3, all FDR<0.05). The abundance of 17 gut microbial virulence factor genes were all positively associated with γ-GT levels (all r>0.3, all FDR<0.05). The virulence factor genes (LpxH, LpxB, LpxK) of lipopolysaccharide were all positively correlated with plasma γ-GT and globulin levels (all r>0.3, all FDR<0.05). Conclusions:Overweight or obese children exhibited elevated liver metabolic-inflammatory markers compared to their normal-weight counterparts. Notably, obese children demonstrated gut microbiota dysbiosis accompanied by enrichment of virulence factor genes, which may promote liver metabolic inflammation through pathways such as lipopolysaccharide biosynthesis.

Objective To investigate the association between cerebrospinal fluid(CSF)oligoclonal band(OCB)positivity and clinical manifestations in patients with neuromyelitis optica spectrum disorder(NMOSD).Methods A retrospective analysis of clinical data from patients with NMOSD treated at our hospital from May 2019 to January 2024 was conducted.Based on OCB test results,patients were categorized into OCB-positive and OCB-negative groups.We compared baseline characteristics between the two groups and analyzed the relationship between clinical features and OCB positivity.Results This study included a total of 62 patients,comprising 17 in the OCB+group and 45 in the OCB-group.Compared with the OCB-group,patients in the OCB+group exhibited more pronounced central nervous system inflammatory features.Specifically,OCB+group had significantly higher proportions of patients with cerebrospinal fluid white blood cell counts>8×10?/L(64.7%vs.26.7%,P=0.003)and elevated immunoglobulin indices(0.72 vs.0.61,P=0.037).Additionally,the OCB+group exhibited more complex and diverse clinical presentations.Specifically,this group showed a higher incidence of mild consciousness impairment during the acute phase(P=0.005)and a greater tendency to present with multiple core symptoms(≥3 core symptoms)occurring concurrently(52.9%vs.20.0%,P=0.025)and misdiagnosis(29.4%vs.8.9%,P=0.101).This was particularly notable when comparing to acute myelitis involving the cervical spinal cord(82.4%vs.53.3%,P=0.036)and acute diencephalic syndrome[41.2%vs.6.7%,P=0.004,including hyponatremia(35.3%vs.8.9%,P=0.033)].Multivariate logistic regression analysis demonstrated that OCB positivity(OR=3.895,95%CI:1.065-14.249)was significantly associated with the presence of multiple core symptoms.Conclusion In acute-phase NMOSD patients,OCB+is associated with significantly higher rates of co-occurrence of multiple core symptoms(≥3 core symptoms)and misdiagnosis.Notably,acute myelitis involving the cervical spinal cord and acute diencephalic clinical syndrome are particularly prevalent in this OCB+subgroup.The clinical manifestations are complex and diverse,suggesting the need for enhanced clinical identification and timely intervention.

Objective To investigate the association between cerebrospinal fluid(CSF)oligoclonal band(OCB)positivity and clinical manifestations in patients with neuromyelitis optica spectrum disorder(NMOSD).Methods A retrospective analysis of clinical data from patients with NMOSD treated at our hospital from May 2019 to January 2024 was conducted.Based on OCB test results,patients were categorized into OCB-positive and OCB-negative groups.We compared baseline characteristics between the two groups and analyzed the relationship between clinical features and OCB positivity.Results This study included a total of 62 patients,comprising 17 in the OCB+group and 45 in the OCB-group.Compared with the OCB-group,patients in the OCB+group exhibited more pronounced central nervous system inflammatory features.Specifically,OCB+group had significantly higher proportions of patients with cerebrospinal fluid white blood cell counts>8×10?/L(64.7%vs.26.7%,P=0.003)and elevated immunoglobulin indices(0.72 vs.0.61,P=0.037).Additionally,the OCB+group exhibited more complex and diverse clinical presentations.Specifically,this group showed a higher incidence of mild consciousness impairment during the acute phase(P=0.005)and a greater tendency to present with multiple core symptoms(≥3 core symptoms)occurring concurrently(52.9%vs.20.0%,P=0.025)and misdiagnosis(29.4%vs.8.9%,P=0.101).This was particularly notable when comparing to acute myelitis involving the cervical spinal cord(82.4%vs.53.3%,P=0.036)and acute diencephalic syndrome[41.2%vs.6.7%,P=0.004,including hyponatremia(35.3%vs.8.9%,P=0.033)].Multivariate logistic regression analysis demonstrated that OCB positivity(OR=3.895,95%CI:1.065-14.249)was significantly associated with the presence of multiple core symptoms.Conclusion In acute-phase NMOSD patients,OCB+is associated with significantly higher rates of co-occurrence of multiple core symptoms(≥3 core symptoms)and misdiagnosis.Notably,acute myelitis involving the cervical spinal cord and acute diencephalic clinical syndrome are particularly prevalent in this OCB+subgroup.The clinical manifestations are complex and diverse,suggesting the need for enhanced clinical identification and timely intervention.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.

Objective:To explore the composition of gut microbiome, the characteristics of virulence factor genes and their relationship with liver metabolic inflammation in overweight or obese children.Methods:A case-control design was conducted. From the children who visited the West China Second University Hospital of Sichuan University for medical or physical examinations between August 2021 and April 2022, a total of 23 obese children (obesity group), 8 overweight children (overweight group), and 22 healthy children (control group) were recruited. The body mass index of children was calculated after anthropometric measurements; metabolic inflammation indexes such as the levels of fasting blood glucose and hepatic function and renal function etc. were detected. The composition and abundance of gut microbiota in the feces of the children were detected by metagenomic sequencing technology and the Shannon index and Simpson index were calculated to assess the α diversity of virulence factor genes. The Wilcoxon rank-sum test was used for pairwise comparison between groups. The Spearman′s rank correlation test was used for correlation analysis, and the Benjamini-Hochberg method was used to correct the P-value of multiple tests. Results:The obese group included 23 children aged 8.5 (6.3, 11.8) years, of whom 9 (39%) were male. The overweight group consisted of 8 children aged 9.2 (5.5, 12.3) years, of whom 4 were male. The control group comprised 22 children aged 5.3 (5.1, 5.4) years, of whom 10 (45%) were male. The obese group exhibited higher levels of alanine aminotransferase (ALT), gamma-glutamyl transferase (γ-GT), globulin, and uric acid compared to those of the control group (all P<0.05), with ALT also higher than that of the overweight group ( P<0.05). The levels of fasting blood glucose, γ-GT, globulin, and uric acid in the overweight group were all higher than those in the control group (all P<0.05). The abundance of Coprococcus A (0.76 (0.00, 3.11) vs. 0.00 (0.00, 0.00), false discovery rate ( FDR)<0.05) and Parasutterella (0.89 (0.08, 1.79) vs. 0.00 (0.00, 0.08), FDR<0.05) in the gut of children in the obese group were both higher than those of the control group. The number of virulence factor genes in the obese group was higher than those of the control group (941 (886, 977) vs. 890 (807, 920), P<0.05). The Simpson index and Shannon index of gut microbial virulence factor genes in the obese group were both higher than those of the control group (0.993 (0.992, 0.993) vs. 0.991(0.990, 0.991), (5.50 (5.46, 5.56) vs. 5.37 (5.30, 5.43), both P<0.01). The abundance of gut microbiota virulence factors genes all showed positive correlations with fasting blood glucose, ALT, γ-GT, and uric acid levels in children (all r>0.3, all FDR<0.05). The abundance of 17 gut microbial virulence factor genes were all positively associated with γ-GT levels (all r>0.3, all FDR<0.05). The virulence factor genes (LpxH, LpxB, LpxK) of lipopolysaccharide were all positively correlated with plasma γ-GT and globulin levels (all r>0.3, all FDR<0.05). Conclusions:Overweight or obese children exhibited elevated liver metabolic-inflammatory markers compared to their normal-weight counterparts. Notably, obese children demonstrated gut microbiota dysbiosis accompanied by enrichment of virulence factor genes, which may promote liver metabolic inflammation through pathways such as lipopolysaccharide biosynthesis.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease which could result disabling in late stage.The objectivity in imaging diagnosis of KOA is often various due to human factors and other influences.Artificial intelligence(AI)has been proved highly valuable for KOA.The progresses of AI in imaging diagnosis and grading of KOA,detecting cartilages lesions,predicting pain and long-term care of KOA were reviewed in this article.

Objective To evaluate the accuracy of bioelectrical impedance analysis(BIA)in measurement of appendicular skeletal muscle mass(ASM)of adults.Methods A total of 836 adults aged 18-42 years were recruited in Guangzhou using a convenient sampling method from April 2021 to September 2022.ASM was measured using BIA and Dual-energy X-ray absorptiometry(DXA).Using DXA as the standard method,the consistency between the BIA and DXA measurements was evaluated by intra-class correlation coefficients(ICCs)and Bland-Altman analysis in logarithmically transformed data,in order to evaluate the accuracy of BIA in ASM measurement.Receiver operating characteristic curve was plotted to evaluate the diagnostic value of BIA for screening low muscle mass.Results A total of 774 individuals were included for analysis finally.ICCs for ASM measured by BIA and DXA were 0.774 and 0.667 in males and females,respectively.Mean ratios(limits of Agreement)of ASM were 0.94(0.80-1.10)and 0.91(0.78-1.05)in males and females,respectively.Area under curve of BIA for screening low muscle mass were 0.91 and 0.94 in males and females,respectively.The optimal cut-off values of Z-score by BIA for males and females were-0.57 and-0.66,respectively.Sensitivity and specificity for males were 82.5%and 86.0%,while being 86.8%and 93.8%,for females.Conclusion BIA shows a moderate consistency with DXA for measuring ASM in adults.Furthermore,BIA yields a good diagnostic value in identifying low muscle mass in adults aged 18-42 years.

Objective:To study the changes in serum small molecule metabolites after brucella infection in humans using untargeted metabolomics methods, and screening representative biomarkers. Methods:A total of 109 serum samples collected from January 2019 to December 2021 at the Brucellosis Clinic of the Baotou Center for Disease Control and Prevention were divided into acute phase group ( n = 40), chronic phase group ( n = 35) of brucellosis, and healthy group ( n = 34) based on clinical diagnosis. Ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry technology was used to test serum samples and screen for differential metabolites. Receiver operating characteristic curve was used to evaluate the predictive ability of differential metabolites for brucellosis. Enriched pathways were screened using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to identify metabolic pathways significantly affected. Results:A total of 17 differential metabolites were screened between the acute phase group and the healthy group, and 12 differential metabolites were screened between the chronic phase group and the healthy group. There were a total of 5 differential metabolites (oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid) statistically significant among the three groups ( F = 16.84, 17.52, 14.31, 13.01, 20.76, P < 0.05). KEGG pathway analysis showed that the differential metabolites in the acute phase group were enriched in metabolic pathways such as ether lipid metabolism, glycerophosphate metabolism, sphingolipid signal and sphingolipid metabolism. The differential metabolites in the chronic phase group were enriched in metabolic pathways such as glycerophosphate metabolism, ether lipid metabolism, protein digestion and absorption metabolism. Conclusion:Untargeted metabolomics methods can screen out serum small molecule metabolites that undergo changes after brucella infection in the human body, including oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid can serve as potential biomarkers to distinguish brucellosis patients from healthy people.