We analyzed the epidemiological features and spatial distribution characteristics of human brucellosis in Jining city from 2014 to 2023,to provide a reference for further development of targeted prevention and control strategies and measures.Descrip-tive epidemiological methods were used to analyze the epidemiological characteristics of brucellosis cases in Jining from 2014 to 2023.The spatial regional correlation of brucellosis incidence in Jining and the clustering patterns of local areas were studied through spatial autocorrelation analysis with townships as the basic unit.A total of 3 520 cases of brucellosis were reported in Jining from 2014 to 2023,and the average annual incidence rate was 4.23/100 000,thus indicating a fluctuating trend overall.Reported cases peaked from March to August,and a sex ratio of 2.71 males to 1 female was observed.The 40-59 year age group had the most reported cases(50.39％).The incidence of brucellosis in Jining showed an imbalanced spatial distribution.Brucellosis incidence showed a spatially clustered distribution(Moran's I>0,P<0.05).Hotspots were distributed primarily in Sishui,Qufu,and Zoucheng.A total of one class Ⅰ clustering area and one class Ⅱ clustering area were detected in the spatial and temporal scans,and were located in Sishui,Qufu,and Liangshan county.After pathogenic AMOS-PCR typing analysis,64 Brucella isolates collected from Jinan City from 2022 to 2024 were all of the sheep strain,and sheep biovar 3 was predominant(70.31％).In 2014-2023,although Jining City experienced a high incidence of brucellosis,a downward trend was observed.Brucellosis showed a spatial clustering pattern concentrated in the northeastern region.Therefore,awareness and education must be strengthened among brucellosis practitioners in cluster areas,to en-hance case surveillance,improve the level of protection,and achieve early detection and treatment.

Sarcopenia is a systemic disease characterized by accelerated loss of skeletal muscle mass and function,leading to an increased incidence of adverse outcomes such as falls and fractures.Sarcopenia is classified into primary and secondary types,with primary sarcopenia being closely related to aging and posing a serious threat to a healthy life among the elderly.Sarcopenia has an insidious onset and is often overlooked in terms of its clinical treatment.Its pathogenesis is complex,involving functional changes and pathological alterations in multiple systems,and presenting major research challenges.Cell models can effectively be used to simulate the pathological changes of diseases under controllable conditions,thus facilitating the investigation of the etiology and factors influencing sarcopenia,and providing an important approach for in-depth studies of its mechanism;however,there is currently no standardized cell model in the field of sarcopenia research.Commonly used cell models currently include models involving protein metabolism interventions,oxidative stress,and inflammatory response interventions.This review considers the commonly used skeletal muscle cell types and modeling method of sarcopenia,to provide a solid foundation and important method ological reference for further simulation of the pathological process of sarcopenia in subsequent experimental studies.

Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.

We analyzed the epidemiological features and spatial distribution characteristics of human brucellosis in Jining city from 2014 to 2023,to provide a reference for further development of targeted prevention and control strategies and measures.Descrip-tive epidemiological methods were used to analyze the epidemiological characteristics of brucellosis cases in Jining from 2014 to 2023.The spatial regional correlation of brucellosis incidence in Jining and the clustering patterns of local areas were studied through spatial autocorrelation analysis with townships as the basic unit.A total of 3 520 cases of brucellosis were reported in Jining from 2014 to 2023,and the average annual incidence rate was 4.23/100 000,thus indicating a fluctuating trend overall.Reported cases peaked from March to August,and a sex ratio of 2.71 males to 1 female was observed.The 40-59 year age group had the most reported cases(50.39％).The incidence of brucellosis in Jining showed an imbalanced spatial distribution.Brucellosis incidence showed a spatially clustered distribution(Moran's I>0,P<0.05).Hotspots were distributed primarily in Sishui,Qufu,and Zoucheng.A total of one class Ⅰ clustering area and one class Ⅱ clustering area were detected in the spatial and temporal scans,and were located in Sishui,Qufu,and Liangshan county.After pathogenic AMOS-PCR typing analysis,64 Brucella isolates collected from Jinan City from 2022 to 2024 were all of the sheep strain,and sheep biovar 3 was predominant(70.31％).In 2014-2023,although Jining City experienced a high incidence of brucellosis,a downward trend was observed.Brucellosis showed a spatial clustering pattern concentrated in the northeastern region.Therefore,awareness and education must be strengthened among brucellosis practitioners in cluster areas,to en-hance case surveillance,improve the level of protection,and achieve early detection and treatment.

Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.

Sarcopenia is a systemic disease characterized by accelerated loss of skeletal muscle mass and function,leading to an increased incidence of adverse outcomes such as falls and fractures.Sarcopenia is classified into primary and secondary types,with primary sarcopenia being closely related to aging and posing a serious threat to a healthy life among the elderly.Sarcopenia has an insidious onset and is often overlooked in terms of its clinical treatment.Its pathogenesis is complex,involving functional changes and pathological alterations in multiple systems,and presenting major research challenges.Cell models can effectively be used to simulate the pathological changes of diseases under controllable conditions,thus facilitating the investigation of the etiology and factors influencing sarcopenia,and providing an important approach for in-depth studies of its mechanism;however,there is currently no standardized cell model in the field of sarcopenia research.Commonly used cell models currently include models involving protein metabolism interventions,oxidative stress,and inflammatory response interventions.This review considers the commonly used skeletal muscle cell types and modeling method of sarcopenia,to provide a solid foundation and important method ological reference for further simulation of the pathological process of sarcopenia in subsequent experimental studies.

ObjectiveTo investigate the infection and genotypes of Wolbachia in Aedes albopictus. MethodsAdult and larval samples of Aedes albopictus were collected from different residential and wild areas from 2020 to 2021， Wolbachia surface protein （wsp） gene was amplified and genotyped for wAlbA and wAlbB by PCR， and sequenced for phylogenetic analysis. The difference of detection rate among different habitats， male and female adult mosquitoes， adult and larvae was compared by χ² analysis. ResultsThe detection rate of Wolbachia in adult and larvae of Aedes albopictus were 43.5% （77/177） and 70.4% （190/270）， respectively， with a statistically significant difference （χ²=32.086，P<0.001）， and wAlbA and wAlbB were mainly detected together. The detection rate of Wolbachia in female and male Aedes albopictus were 50.7% （76/150） and 3.7% （1/27）， respectively， with a statistically significant difference（χ²=20.533，P<0.001）. The detection rate of adult Aedes albopictus in Songjiang wild area， residential area and Hongkou residential area were 91.7% （55/60）， 18.8% （22/117） and 41.7% （30/72）， respectively， with a statistically significant difference （χ²=54.322，P<0.001）. Genotyping and phylogenetic analysis showed that adult and larvae of Aedes albopictus infected with Wolbachia were mainly wAlb A and wAlb B. In addition， some sequences formed clades independently， and the genetic distance from other sequences was relatively large. ConclusionInfection of Wolbachia in Aedes albopictus is relatively common in Songjiang District. The main genotypes are wAlb A and wAlb B and there may be other subtypes， which are worthy of further exploration and research.

The diagnosis and treatment resources for rare diseases in China are highly imbalanced. The basic diagnosis and treatment capabilities are weak, the diagnosis period for patients is long, and the rates of missed diagnosis and misdiagnosis are relatively high. The establishment of a hierarchical diagnosis and treatment system is the inevitable approach to enhancing the diagnosis and treatment standards of rare diseases. Currently, the implementation of the domestic hierarchical diagnosis and treatment system for rare diseases still confronts numerous challenges, such as ambiguous referral standards and processes of primary medical institutions, and ineffective information interaction among institutions at all levels. Thus, it is essential to facilitate high-level information construction for the hierarchical diagnosis and treatment of rare diseases. This paper explores the process of constructing a multidisciplinary joint remote diagnosis and treatment platform and a health management platform through informatization, with the hope of establishing two closed loops of digital diagnosis and treatment services and health follow-up management for patients with rare diseases, as well as achieving timely diagnosis and lifelong health management for patients. It integrates and optimizes auxiliary diagnostic tools, promotes the rapid dissemination of rare disease diagnosis and treatment experiences to the grassroots, enhances the information construction level of the hierarchical diagnosis and treatment system, and endeavors to address the practical predicament of weak diagnosis and treatment capabilities of rare diseases in grassroots medical institutions. Additionally, this paper proposes an essential approach for multi-dimensional independent innovation to guide the popularization of efficient and high-quality rare disease diagnosis and treatment services. By encompassing innovating the rare disease diagnosis and treatment collaboration network and multidisciplinary diagnosis and treatment model, facilitating the application of the latest biomedical and informatics technologies to the grassroots, and constructing a national intelligent data platform for rare disease innovation, a new model for rare disease services with Chinese characteristics will be established. This will significantly enhance the medical treatment level of rare diseases in China and strive for more benefits for patients.

ObjectiveTo investigate the relationship between mosquito density fluctuations and meteorological factors, so as to provide a scientific basis for mosquito surveillance analysis, risk assessment, and comprehensive prevention and control. MethodsMosquito surveillance and monitoring data of 2020‒2023 was obtained from on-site supervisory sampling by Songjiang Center for Disease Control and Prevention, and meteorological data was obtained from the Wheat A wheat malt-agro-meteorological big data system. Excel 2019 and SPSS 25.0 software were used to organize and analyze the mosquito number, species composition, and seasonal changes in mosquito density captured by the CO₂-light trap at rach monitoring site. Circular distribution method was used to calculate the peak time of mosquito density, combined with the meteorological data of the same period to explore the impact of meteorological factors on the results of mosquito surveillance. ResultsThere was a statistical difference in the overall distribution of mosquito quantity in different habitats(H=23.11, P<0.05), 2020‒2023. In addition, the results showed that July 28th was the peak day for mosquito density, and the duration from June 13th to September 11th was the seasonal peak period for mosquitoes. Pearson correlation analysis showed a positive correlation between mosquito density and average air temperature, average highest air temperature, average lowest air temperature, extreme maximum air temperature, extreme minimum air temperature, precipitation, and number of precipitation days (all P<0.01). While, there was no significant correlation between average wind speed and mosquito density (P>0.05). Multiple stepwise regression analysis resulted in the equation of Y=0.151X_{extreme minimum temperature}+0.321X_{number of precipitation days}+1.002X_{SQRT precipitation}-1.288 (F=102.635, P<0.05). ConclusionThe CO₂-light trap is advisable to monitor the habitats of farmers, livestock sheds, residential areas, parks, hospitals, and other external environments. Air temperature and precipitation have a significant impact on mosquito density. It is recommended to implement comprehensive prevention and control measures to reduce mosquito density and prevent mosquito-borne diseases before the peak period of mosquitoes.

Objective To observe value of thin slice CT multiple signs combined with multiplanar reformation(MPR)for diagnosing tracheobronchial tuberculosis(TBTB).Methods Data of 234 TBTB patients who underwent chest thin slice CT scanning were retrospectively analyzed.MPR was performed,the direct signs and indirect signs of TBTB were observed.The diagnostic efficacy of axial plain CT images(direct observation)and of MPR combined with the former(combined observation)were compared.Results The sensitivity,specificity,positive predictive value,negative predictive value and accuracy of direct observation was 38.88％(201/517),98.13％(1 789/1 823),85.53％(201/235),84.99％(1 789/2 105)and 85.04％(1 990/2 340),respectively,of combined observation was 91.10％(471/517),98.85％(1 802/1 823),95.54％(471/493),97.51％(1 802/1 848)and 97.14％(2 273/2 340),respectively.Significant differences of sensitivity,positive predictive value,negative predictive value and accuracy were found(all P＜0.001),whereas no significant difference of specificity was found between 2 methods(P＞0.05).Conclusion Thin slice CT multiple signs combined with MPR could be used to effectively diagnose TBTB.