Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

ObjectiveTo analyze the epidemiological characteristics of influenza virus in severe acute respiratory tract infection (SARI) cases in Jingzhou City, so as to provide a scientific basis for the formulation of influenza prevention and control policies in Jingzhou City. MethodsSARI surveillance was carried out in two sentinel hospitals in Jingzhou City from 2018 to 2023. Respiratory tract samples were collected from cases and influenza virus nucleic acid was measured using real-time fluorescent polymerase chain reaction (RT-PCR). ResultsA total of 2 603 SARI samples were tested from 2018 to 2023, and 338 samples were positive for influenza virus nucleic acid, with a detection rate of 12.99%. The highest positive detection rate was 20.22% in 2019, followed by 14.29% in 2022, and the lowest detection rate was 7.75% in 2020. There were significant differences for the positive detection rates of influenza in each monitoring year (χ²=30.386, P<0.001). There were epidemic peaks in the five surveillance years from 2018 to 2023 except 2020. There were winter epidemic peaks during 2018‒2019 and 2021‒2022, and an obvious summer epidemic peak was also observed from 2019 to 2022. H1N1, H3N2, B-Victoria and B-Yamagata were alternately prevalent in the six surveillance years. In 2019, H1N1, H3N2 and B-Victoria were alternately prevalent with time progress, in 2021 only B-Victoria was prevalent, and in 2022 H3N2 and B-Victoria were prevalent. There was no statistically significant difference for the positive detection rates of influenza virus between different genders (χ²=0.178, P=0.673). Among the four age groups, the positive rate of influenza virus in the age group of 15‒<25 years old was the highest (40.91%), followed by the age group of 25‒<60 years old (21.31%). There were statistically significant differences for the positive rates of influenza virus among different age groups (χ²=24.496, P<0.001). ConclusionThe surveillance of SARI cases in Jingzhou City could serve as an effective supplement to the surveillance of ILI in sentinel hospitals. It is suggested to expand the surveillance scope, strengthen public education and outreach on the prevention and control of respiratory diseases, thereby providing a scientific basis for influenza prevention and control.

Objective:To explore the development context and evolution mechanism of family doctor contract service mode in rural areas,and provide reference for relevant departments to continuously optimize the family doctor contract service policy.Methods:Based on the principle of theoretical sampling,J City in S Province,which is listed as one of the national primary health comprehensive pilot areas,was selected as the case study object,and the data were collected through interviews and literature review,and then grounded and coded with NVivo11 software.Results:74 initial concepts,24 sub categories and 9 main categories were sorted out,and the core categories were formed through selective coding.The signing service of family doctors in rural areas has gone through three stages:individual signing of rural doctors,team signing and team signing under the county medical community.Its evolution conditions have gone through the formalization of signing,service capability and efficiency synergy in turn.The three elements of the system adaptation action successively presents differential execution under the system de embedding,collaborative block under the structure embedding and collaborative execution under the system coupling,so as to gradually realize the system coupling from responsibility construction to ability improvement,and then to responsibility,ability and interest.Conclusion:the evolution mechanism of the contracted service mode of family doctors in rural areas reflects the dynamic adaptation under the conditions of political situation,social situation and policy situation,and gradually realizes the closed-loop of the three elements of responsibility,ability and interest based on the differentiation of the three elements of the system.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective:To explore the development context and evolution mechanism of family doctor contract service mode in rural areas,and provide reference for relevant departments to continuously optimize the family doctor contract service policy.Methods:Based on the principle of theoretical sampling,J City in S Province,which is listed as one of the national primary health comprehensive pilot areas,was selected as the case study object,and the data were collected through interviews and literature review,and then grounded and coded with NVivo11 software.Results:74 initial concepts,24 sub categories and 9 main categories were sorted out,and the core categories were formed through selective coding.The signing service of family doctors in rural areas has gone through three stages:individual signing of rural doctors,team signing and team signing under the county medical community.Its evolution conditions have gone through the formalization of signing,service capability and efficiency synergy in turn.The three elements of the system adaptation action successively presents differential execution under the system de embedding,collaborative block under the structure embedding and collaborative execution under the system coupling,so as to gradually realize the system coupling from responsibility construction to ability improvement,and then to responsibility,ability and interest.Conclusion:the evolution mechanism of the contracted service mode of family doctors in rural areas reflects the dynamic adaptation under the conditions of political situation,social situation and policy situation,and gradually realizes the closed-loop of the three elements of responsibility,ability and interest based on the differentiation of the three elements of the system.

Objective Spotted fever group rickettsiae(SFGR)are globally prevalent obligate intracellular bacteria that have the potential to cause severe and fatal human diseases. A study to investigate the species and genetic characteristics of SFGR was conducted in 2023 in the Ningxia region of northwestern China. Methods Tick samples were collected from Ningxia, identified, and used to isolate SFGR. The isolated strain was identified as Rickettsia raoultii through morphological observation, multi-locus sequence typing(MLST), and phylogenetic analysis. Then, it was subjected to whole-genome sequencing using next-generation technology, which revealed it to be a TIGMIC strain. Results The TIGMIC strain was demonstrated to exhibit a capacity for growth in mammalian cell lines. The complete genome sequence of the TIGMIC strain was assembled into a circular chromosome, which exhibited a length of 1 312 176 bp and comprised 1 488 genes. Functional annotation revealed that the main key genes of the TIGMIC strain were primarily associated with biosynthesis, nutrient metabolism, and cell membrane biogenesis. Apart from the rickA gene, most typical rickettsial virulence genes of the TIGMIC strain were relatively conserved. Conclusions These findings will help identify SFGR, provide etiological evidence for spotted fever in Ningxia, and emphasize the need for enhanced surveillance to prevent the spread of SFGR.

Objective To analyze the incidence and mortality of malignant tumors among the middle-aged and elderly population in Chengguan district of Lanzhou from 2011 to 2021,and to discuss the related risk factors.Methods Using the research data of REACTION in Lanzhou,an epidemiological survey was conducted through cluster sampling in three communities in Chengguan district of Lanzhou since April 2011.The target population was middle-aged and elderly residents over 40 years old.Two follow-up surveys were carried out in 2014-2016 and 2021 successively,and 6543 people with complete follow-up data were finally included.The incidence and mortality rates of malignant tumors were calculated,as well as their age standardized rates with reference to the age composition of Segi's world standard population.Multivariate Cox regression analysis was used to screen the risk factors affecting the incidence and mortality of malignant tumors.Results After an average follow-up of 10.6 years,314 new cases of malignant tumors were found in middle-aged and elderly residents in Chengguan district of Lanzhou,with an incidence rate and age standardized incidence rate of 454.30/100 000 and 128.93/100 000,respectively.A total of 158 deaths were attributed to malignant tumors,with a mortality rate and age standardized rate of 228.41/100 000 and 607.9/100 000,respectively;The age standardized incidence rate and mortality rate of malignant tumors males were both higher than those females(P＜0.05).During the follow-up period,the age standardized incidence rate of malignant tumors in the general population showed an significant upward trend(P＜0.05),whereas the age standardized mortality rate gradually decreased after a brief increase(P＜0.05).Lung cancer,colorectal cancer,gastric cancer,and liver cancer were the main types of malignant tumors ranking in the top five in terms of incidence and mortality by gender.Multivariate Cox regression results indicate that male,age≥60 years old,college education level or above,smoking history,drinking history,having been hit by major stressful events,central obesity,hypertension,and coronary heart disease are risk factors for the onset or death of malignant tumors(HR＞1).Married,with family size≥4,frequent consumption of fresh fruit,frequent consumption of fresh vegetables,frequent consumption of grains and tubers are protective factors for the onset or death of malignant tumors(HR＜1).Conclusion The incidence of malignant tumors among middle-aged and elderly people in Chengguan district of Lanzhou from 2011 to 2021 showed an increasing trend,while the overall mortality was decreasing.Our study indicates early cancer screening in elderly populations,maintaining a healthy lifestyle and strengthening the management of chronic diseases are crucial for the prevention and treatment of malignant tumors.

Objective To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography(CBCT)images,and to compare and analyze the estimation re-sults.Methods A total of 498 Shanghai Han adolescents and children CBCT images of the oral and maxillofacial regions were collected.The pulp and tooth volumes of the left maxillary central incisor and cuspid were measured and calculated.Three machine learning algorithms(K-nearest neighbor,ridge regression,and decision tree)and stepwise regression were used to establish four age estimation models.The coefficient of determination,mean error,root mean square error,mean square error and mean ab-solute error were computed and compared.A correlation heatmap was drawn to visualize and the monotonic relationship between parameters was visually analyzed.Results The K-nearest neighbor model(R2=0.779)and the ridge regression model(R2=0.729)outperformed stepwise regression(R2=0.617),while the decision tree model(R2=0.494)showed poor fitting.The correlation heatmap demon-strated a monotonically negative correlation between age and the parameters including pulp volume,the ratio of pulp volume to hard tissue volume,and the ratio of pulp volume to tooth volume.Con-clusion Pulp volume and pulp volume proportion are closely related to age.The application of CBCT-based machine learning methods can provide more accurate age estimation results,which lays a founda-tion for further CBCT-based deep learning dental age estimation research.