BACKGROUND:With the continuous advancement of medical technology,stem cell therapy has been used to treat a variety of diseases,including amyotrophic lateral sclerosis. OBJECTIVE:To review the research progress of stem cell therapy for amyotrophic lateral sclerosis,and prospect the development trend of this field. METHODS:PubMed,China National Knowledge Infrastructure(CNKI),and WanFang Data were searched for articles published from 1995 to 2024 using the key words"amyotrophic lateral sclerosis,mesenchymal stem cells,neural stem/progenitor cells,pluripotent stem cells."A total of more than 1 700 articles were retrieved,and 58 articles were finally included in this review. RESULTS AND CONCLUSION:Amyotrophic lateral sclerosis is a neurodegenerative disease that affects lower motor neurons in the brainstem and spinal cord and upper motor neurons in the motor cortex.The related research of stem cells in the treatment of amyotrophic lateral sclerosis has become a research hotspot.In this review,we summarize the application of different types of stem cells in amyotrophic lateral sclerosis research,including mesenchymal stem cells,neural stem progenitor cells,and induced pluripotent stem cells,and evaluate the key points of preclinical research such as stem cell source,cell volume,stem cell modification methods,and drug delivery routes,which lays the foundation for the future application of stem cell therapy.

Objective To investigate the characteristics of blood routine,chest computed tomography(CT)imaging and short-term evolution of hemodialysis patients infected with Omicron variant of severe acute respiratory syndrom coronavirus 2(SARS-CoV-2).Methods A total of 204 patients diagnosed with Omicron variant infection in the First Hospital of Hohhot from September 2022 to September 2023 were retrospectively reviewed.Among them,89 patients with end-stage renal disease(ESRD)who were receiving hemodialysis were included in the hemo-dialysis group.The remaining 115 patients were control group,and the first blood routine results chest com-puted tomography(CT)imaging data were observed.Thirty-four patients in the hemodialysis group and 29 patients in the control group had complete pulmonary CT imaging data on the day of admission,5-6 days and 10-12 days after admission.The characteristics and chest CT scores of all cases were analyzed.Results 1)The percentage of monocytes,neutrophils,neutrophil/lymphocyte ratio and chest CT score of the hemo-dialysis group were higher than those of the control group,while the white blood cells,lymphocytes and lymphocyte percentage were lower than those of the control group.2)The positive rate of first chest CT was 49.4%in hemo-dialysis group and 35.7%in control group.3)The chest CT scores of the hemo-dialysis group and the control group on day 5 and day 6 were higher than those of first check.Chest CT was reexamined on days 10-12,and scores were higher in the hemo-dial-ysis group than in the control group.Conclusions Hemo-dialysis patients with COVID-19 have higher blood routine indexes,higher positive rate of lung CT and slower absorption than non-hemodialysis patients.

BACKGROUND:Achilles tendon adhesion after Achilles tendon injury can lead to decreased biomechanical properties,weakened healing ability,and ultrastructural changes of Achilles tendon,which further affects patients'daily life and work ability.Therefore,how to effectively deal with and prevent Achilles tendon adhesion has become a hot and difficult problem in clinical treatment. OBJECTIVE:To analyze the effects of biological amniotic membranes on postoperative Achilles tendon adhesion,biomechanics,and ultrastructural changes in rats with Achilles tendon rupture. METHODS:Sixty 6-week-old SD rats were selected to establish bilateral Achilles tendon rupture models and divided into two groups(n=30 per group)by the random number table method.In the model group,the severed end of the tendon was sutured directly.In the amniotic membrane group,the biological amniotic membrane was wrapped around the broken anastomosis and fixed by a suture.The adhesion,biomechanics,morphology,and structure of the Achilles tendon and the expression of p38 and ERK1/2 protein were evaluated 1,2,and 4 weeks after surgery. RESULTS AND CONCLUSION:(1)1 week after operation,the Achilles tendon and peritendinous tissues of the two groups were mildly edema,and the adhesion of the Achilles tendon tissues in the model group was more obvious.2 weeks after the intervention,the Achilles tendon and peritendinous tissues of the model group still had edema,and the adhesion degree between the Achilles tendon and the surrounding tissues was heavier than that of the amniotic membrane group.4 weeks after operation,there was no edema around the Achilles tendon in both groups,and the healing was well.The adhesion degree of the Achilles tendon in the amniotic membrane group was less than that in the model group.The maximum tension of Achilles tendons in the amniotic membrane group was higher than that in the model group at 2 and 4 weeks after operation(P<0.001).(2)Hematoxylin-eosin staining and transmission electron microscopy revealed that 1 week after operation,the tendon structure of rats of the two groups was disordered and the collagen fibers were sparsely arranged,in which the model group demonstrated obvious inflammatory reaction and adhesion to the Achilles tendon.Two weeks after operation,the model group still demonstrated obvious inflammatory response,adhesion of Achilles tendon,and irregular ordering of collagen fibers.The amniotic membrane group exhibited an orderly arrangement of collagen fibers and expansion of the endoplasmic reticulum of fibroblasts.At 4 weeks after operation,the collagen fibers of the Achilles tendon in the model group were thickened and disordered,and the rough endoplasmic reticulum was less in the fibroblasts,while the collagen fibers in the amniotic membrane group were ordered and thin,and the fibroblasts contained a large number of rough endoplasmic reticulum.(3)Four weeks after operation,western blot assay exhibited that the expressions of p38 and ERK1/2 protein in the Achilles tendon tissue of rats in the amniotic membrane group were lower than those in the model group(P<0.05).(4)The results confirm that the biologic amniotic membrane can promote the healing and inhibit the adhesion of Achilles tendon after the operation of the ruptured Achilles tendon,which may be associated with the regulation of the MAPK/ERK signaling pathway.

BACKGROUND:Osteoporotic vertebral compression fracture is a common fracture secondary to osteoporosis.At present,there is no effective prediction index and method for osteoporotic vertebral compression fracture. OBJECTIVE:To investigate the predictive effect of the comprehensive index of lumbar vertebral body bone strength on osteoporotic vertebral compression fracture. METHODS:233 patients with osteoporosis were divided into a fracture group and a non-fracture group according to whether a vertebral fracture occurred.The demography,body mass index,vertebral bone mineral density and other details were collected.Lateral X-ray films of the lumbar spine were photographed.The vertebral body width,vertebral body length,sacral slope,pelvic tilt,pelvic incidence,lumbar compressive strength index and the lumbar impact strength index were measured,calculated,and analyzed by univariate and multivariate,and the receiver operating characteristic curve was analyzed.The survival analysis was conducted according to the cut-off value. RESULTS AND CONCLUSION:(1)All patients were followed up for 2-4 years,with an average of 3.1 years.During the follow-up period,99 cases(38 cases of L1 vertebral body,61 cases of L2 vertebral body)had fractures(fracture group),and 134 cases(52 cases of L1 vertebral body,82 cases of L2 vertebral body)had no fractures(non-fracture group).Univariate analysis showed that there was no significant difference in age,sex,height,body mass,body mass index and fracture segment between the two groups(P>0.05).(2)Lumbar compressive strength index and lumbar impact strength index in the fracture group were lower than those in the non-fracture group(P<0.05).Pelvic incidence and pelvic tilt in the fracture group were higher than those in the non-fracture group(P<0.05).(3)Multivariate analysis showed that lumbar compressive strength index,lumbar impact strength index and pelvic tilt were risk factors for osteoporotic vertebral compression fractures(P<0.05).(4)Receiver operating characteristic curve analysis showed that the cutoff values of vertebral bone mineral density,lumbar compressive strength index,lumbar impact strength index,pelvic tilt and pelvic incidence were 0.913 5 g/cm2,1.932,0.903,21.5° and 55°,respectively;areas under the curve were 0.630,0.800,0.911,0.633 and 0.568,respectively.(5)According to the survival analysis(with osteoporotic vertebral compression fracture as the end point),the average survival time of the patients with lumbar impact strength index≥0.903 was significantly longer than that of the patients with lumbar impact strength index<0.903(P<0.05).(6)These findings conclude that the comprehensive index of lumbar vertebral body bone strength is more accurate than the bone mineral density of the vertebral body and spine-pelvis sagittal parameters in predicting osteoporotic vertebral compression fractures,which is helpful for early prevention and treatment of osteoporotic vertebral compression fractures.

Objective:Based on the questionnaire, to analyze the current status of children′s bone age assessment in China, especially the application of artificial intelligence (AI)-assisted bone age assessment system in the clinic.Methods:This was a cross-sectional study. The questionnaire was adapted by ourselves through the literature method and expert interview method, and the whole volume included 22 questions, which were released in the form of WeChat applet questionnaire star to the physician groups of several associations and entrusted to the radiology and paediatricians with senior titles. The results of the different types of questions were summarised and analyzed, and the chi-square test was used to compare the count data.Results:A total of 450 valid questionnaires were collected from 162 medical institutions in 26 provinces and cities and autonomous regions, of which 232 (51.6%) were from 87 (53.7%) tertiary hospitals and 218 (48.4%) from 75 (46.3%) secondary hospitals. Of the respondents, 115 (25.6%) were senior, 137 (30.4%) middle and 198 (44.0%) junior. Child bone age measurement was performed at 75.9% (66/87) of tertiary care organizations and 26.7% (20/75) of secondary care organizations, and the difference was statistically significant ( χ2=39.10, P<0.001). Left wrist radiographs were predominantly used for bone age assessment (76.0%, 123/162), with 72.8% (118/162) of sites using the ATLAS method of assessment and 17.9% (29/162) using the scoring method. A total of 98.4% (443/450) of respondents agreed that AI technology should be used to assist in bone age assessment, but only 9.3% (15/162) of healthcare organizations used AI-assisted technology. Conclusion:At present, bone age assessment is widely used in medical institutions, but there are problems with non-standardized examination methods, inconsistent assessment standards, and imprecise assessment results. Expectations for AI technology-assisted diagnosis exist among a wide range of physicians, but there are fewer users.

BACKGROUND:Osteoporosis vertebral compression fracture is a common fracture secondary to osteoporosis,and there is currently a lack of effective predictive indicators and methods for osteoporosis vertebral compression fracture. OBJECTIVE:To investigate the predictive effects of paravertebral muscle degeneration,functional cross-sectional area,and percentage of fat infiltration on osteoporotic vertebral compression fractures. METHODS:The 224 patients with osteoporosis diagnosed from January 2018 to June 2022 were included.They were followed up for more than 2 years.They were divided into fracture group and non-fracture group according to the presence and absence of vertebral fracture.The detailed information of demographics,body mass index,bone mineral density and so on were collected.The functional cross-sectional area and percentage of fat infiltration of bilateral Psoas major muscle and extensor dorsi(Erector spinae muscles muscle and multifidus muscle)at the level of lower endplate of L2 vertebral body were measured and calculated. RESULTS AND CONCLUSION:(1)224 patients were ultimately included,of which 126 had fractures as the fracture group and 98 had no fractures as the non-fracture group.There was no statistically significant difference in age,gender,height,body mass,body mass index,and fracture segment between the two groups(P>0.05).(2)The bone mineral density of the fracture group was significantly lower than that of the non-fracture group(P<0.05).Functional cross-sectional areas of Psoas major muscle and extensor dorsi in the fracture group were significantly lower than those in the non-fracture group(P<0.05).The percentage of fat infiltration of the extensor dorsi in the fracture group was significantly higher than that in the non-fracture group(P<0.05).There was no significant difference in percentage of fat infiltration of Psoas major muscle between the two groups(P>0.05).(3)Receiver operating characteristic analysis showed that the vertebral bone mineral density,percentage of fat infiltration of extensor dorsi,functional cross-sectional area of extensor dorsi and percentage of fat infiltration of Psoas major muscle were 0.903 g/cm2,35.426%,418.875 mm2,and 6.375%,respectively.The areas under curve were 0.634,0.755,0.876,and 0.585,respectively.(4)These findings indicate that paravertebral muscle degeneration is strongly associated with the occurrence of osteoporotic vertebral compression fractures.The functional cross-sectional area of extensor dorsi muscle can effectively predict the occurrence of osteoporotic vertebral compression fractures,which is helpful for early prevention and treatment of osteoporotic vertebral compression fractures.

Objective:To improve the perception of computed tomography(CT)images in detecting fine fracture through multi-task network of global attention,and to realize the detection of the target of fine fracture at case level through multi-task,and to quickly and accurately identify and locate fracture from a large number of CT images,so as to assist doctors to timely conduct treatment.Methods:A grouped Non-local network method was introduced to calculate the remote dependency relationship between each position of CT image continuous sections and channel.A single-stage detector of multi-objective detection model three dimension(3D)RetinaNet was integrated with the medical image semantic segmentation architecture(3D U-Net).A end-to-end multi-task 3D convolutional network was realized,which realized the detection of case level for fine fracture through multi-task collaboration.Select 600 CT scan images from the Rib Frac Dataset of rib fractures provided by the MICCAI 2020 Challenge,and they were divided into training set(500 cases)and test set(100 cases)as the ratio of 5:1 to test the precise performance of multi-task 3D convolutional network.Results:The precise performance of multi-task 3D convolutional network method was better than that of single-task FracNet,3D RetinaNet and 3D Retina U-Net in detection,which average precision was respectively higher 7.8%and 11.4%than 3D RetinaNet and 3D Retina U-Net.It was better than two kinds of single-task network detection method included 3D Faster R-CNN and 3D Mask R-CNN,and the average precision of that was respectively higher 6.7%and 3.1%than them.Conclusion:The integrated different modules of global attention multi-task network can improve the detection performance of fine fracture.The introduction of grouped Non-local network method can further improve the precise performance for the targets of fine fractures in detection.

ObjectiveTo understand the process and influencing factors affecting the utilization of influenza vaccination services and vaccination decision-making among the elderly in Shanghai, to explore the delivery of influenza vaccination services and the difficulties faced by the health service system, and to provide guidance for optimizing immunization strategies. MethodsBased on the vaccine hesitancy determinants matrix, semi-structured personal interviews were conducted with stakeholders involved in influenza vaccination services in Shanghai from January to February 2024, using a purposive sampling method. Participants were included until thematic saturation was achieved. Interview data were audio-recorded, transcribed, coded, and organized using NVivo 20 software, and analyzed using the thematic framework method. ResultsA total of 25 interviewees were included, including 9 medical staff, 12 elderly people aged 60 and above, and 4 family members. The study found that Shanghai had a well-managed and standardized influenza vaccination service. However, the promotion of vaccine-related information at the grassroots level was passive and limited. Out-of-pocket payment of the vaccine and cultural beliefs of the elderly negatively impacted vaccination rates. Meanwhile, recommendations from family, friends, and medical staff facilitated vaccination, although the impact varied depending on the type of medical staff. Neighborhood committees in townships and streets played a crucial role in delivering vaccination information to the target population. Additionally, the internet, social media, and the COVID-19 vaccine had both positive and negative impacts on influenza vaccination. Strategic optimization of vaccination should prioritize price concessions, enhance publicity strategies, and improve awareness, professionalism, and willingness among medical and healthcare workers to recommend vaccination. ConclusionThe influenza vaccination service in Shanghai is well-managed and standardized. However, it is essential to consider the influence of family and other support systems on the elderly. It is also necessary to enhance the professionalism, service awareness, and willingness to recommend among the medical staff. Furthermore, systematic interventions and publicity efforts should be effectively integrated with social media and the functions of neighborhood committees.

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.

Several factors need to be considered for special populations with chronic hepatitis B(CHB),such as the family history of liver cirrhosis and liver cancer,age,disease stage,and antiviral response.It is necessary to select the appropriate timing of antiviral therapy and timely adjust antiviral strategies for CHB populations,which plays an important role in delaying disease progression and reducing the development of liver cirrhosis and hepatocellular carcinoma.This article elaborates on the timing and strategies for antiviral therapy in the special populations such as patients with chronic HBV infection who have an age of≤30 years and a normal alanine aminotransferase(ALT)level,pregnant women with chronic HBV infection who have an age of>30 years and a normal ALT level,children with chronic HBV infection,and treatment-experienced HBeAg-positive CHB patients with low-level viremia,so as to help clinicians choose a better timing of antiviral therapy and optimize the strategies of antiviral therapy for special CHB populations.