INTRODUCTION: Lecanemab has shown promise in treating early Alzheimer's disease (AD), but its safety and efficacy in Chinese populations remain unexplored. This study aimed to evaluate the safety and 6-month clinical outcomes of lecanemab in Chinese patients with mild cognitive impairment (MCI) or mild AD. METHODS: In this single-arm, real-world study, participants with MCI due to AD or mild AD received biweekly intravenous lecanemab (10 mg/kg). The study was conducted at Hainan Branch, Ruijin Hospital Shanghai Jiao Tong University School of Medicine. Patient enrollment and baseline assessments commenced in November 2023. Safety assessments included monitoring for amyloid-related imaging abnormalities (ARIA) and other adverse events. Clinical and biomarker changes from baseline to 6 months were evaluated using cognitive scales (mini-mental state examination [MMSE], montreal cognitive assessment [MoCA], clinical dementia rating-sum of boxes [CDR-SB]), plasma biomarker analysis, and advanced neuroimaging. RESULTS: A total of 64 patients were enrolled in this ongoing real-world study. Safety analysis revealed predominantly mild adverse events, with infusion-related reactions (20.3%, 13/64) being the most common. Of these, 69.2% (9/13) occurred during the initial infusion and 84.6% (11/13) did not recur. ARIA-H (microhemorrhages/superficial siderosis) and ARIA-E (edema/effusion) were observed in 9.4% (6/64) and 3.1% (2/64) of participants, respectively, with only two symptomatic cases (one ARIA-E presenting with headache and one ARIA-H with visual disturbances). After 6 months of treatment, cognitive scores remained stable compared to baseline (MMSE: 22.33 ± 5.58 vs . 21.27 ± 4.30, P = 0.733; MoCA: 16.38 ± 6.67 vs . 15.90 ± 4.78, P = 0.785; CDR-SB: 2.30 ± 1.65 vs . 3.16 ± 1.72, P = 0.357), while significantly increasing plasma amyloid-β 42 (Aβ42) (+21.42%) and Aβ40 (+23.53%) levels compared to baseline. CONCLUSIONS: Lecanemab demonstrated a favorable safety profile in Chinese patients with early AD. Cognitive stability and biomarker changes over 6 months suggest potential efficacy, though high dropout rates and absence of a control group warrant cautious interpretation. These findings provide preliminary real-world evidence for lecanemab's use in China, supporting further investigation in larger controlled studies. REGISTRATION ClinicalTrials.gov , NCT07034222.
Humans ; Alzheimer Disease/drug therapy* ; Male ; Female ; Aged ; Middle Aged ; Cognitive Dysfunction/drug therapy* ; Aged, 80 and over ; Amyloid beta-Peptides/metabolism* ; Biomarkers ; East Asian People

Altitude sickness is a disease caused by series of physiological and pathological changes and compensatory adaptation changes caused by acute or chronic exposure to high altitude hypoxia.High altitude pulmonary edema(HAPE)and high altitude cerebral edema are life-threatening diseases that are likely to develop;chronic high-altitude sickness,if not taken seriously,can affect various systems of the patient.This article reviews the drug prevention and treatment of three types of altitude sickness,HAPE,high altitude polycythemia(HAPC),and high altitude pulmonary hypertension(HAPH),to provide a reference for the rapid adaptation of people entering high altitudes and the health care of high-altitude residents.

Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

Objective To explore the relevant risk factors of H.pylori infection,and provide reference for prevention and treatment of H.pylori in this area,and further provide theoretical basis for the prevention and treatment of gastric cancer.Methods A total of 1200 residents in four districts of Haikou city were investigated by questionnaire and urea 14 C breath test by holistic stratified random sampling to calculate the population infection rate and analyze the risk factors of infection.Results The total infection rate was 32.5％,which was lower than the national H.pylori infection rate.No consumption of fruits and vegetables,no habit of washing hands before meals,and people with gastrointestinal symptoms,are independent risk factors of H.pylori infection.No consumption of pickled products is of great significance to prevent H.pylori infection.Conclusion The prevalence of H.pylori infection in the population of Haikou is lower than the national average,and H.pylori infection is closely related to the poor living habits of residents.

Objective To investigate the structural characteristics of intestinal flora in children with sepsis and its association with inflammatory response.Methods A prospective cohort study was conducted.The children with sepsis who were admitted from December 2021 to January 2023 were enrolled as the sepsis group,and the children with non-sepsis who were admitted during the same period were enrolled as the non-sepsis group.The two groups were compared in terms of the distribution characteristics of intestinal flora,peripheral white blood cell count(WBC),C reactive protein(CRP),and cytokines,and the correlation of the relative abundance of fecal flora with WBC,CRP,and cytokines was analyzed.Results At the genus level,compared with the non-sepsis group,the sepsis group had significantly lower relative abundance of Akkermansia,Ruminococcus,and Alistipes and significantly higher relative abundance of Enterococcus,Streptococcus,and Staphylococcus(P<0.05).At the phylum level,Proteobacteria was the dominant phylum(37.46%)in the group of children with a score of≤70 from the Pediatric Critical Illness Score(PICS),and Firmicutes was the dominant phylum in the group of children with a score of 71-80 or 81-90 from the PICS(72.20%and 43.88%,respectively).At the genus level,among the 18 specimens,5 had a relative abundance of>50%for a single flora.Compared with the non-sepsis group,the sepsis group had significant higher levels of WBC,CRP,interleukin-6(IL-6),interleukin-10(IL-10),and tumor necrosis factor-α(P<0.05).The Spearman's rank correlation analysis showed that at the genus level,the relative abundance of Ruminococcus,Alistipes,and Parasutterella in the sepsis group was negatively correlated with the levels of WBC,CRP,and IL-6(P<0.05);the relative abundance of Enterococcus was positively correlated with the CRP level(P<0.01);the relative abundance of Streptococcus and Staphylococcus was positively correlated with the levels of CRP and IL-6(P<0.05);the relative abundance of Streptococcus was positively correlated with WBC(P<0.05).Conclusions Intestinal flora disturbance is observed in children with sepsis,and its characteristics vary with the severity of the disease.The structural changes of intestinal flora are correlated with inflammatory response in children with sepsis.

Objective To explore the current application of high-throughput drug sensitivity(HDS)testing in children with relapsed and refractory acute leukemia(RR-AL)and analyze the feasibility of salvage treatment plans.Methods A retrospective collection of clinical data from children with RR-AL who underwent HDS testing at the Department of Children's Hematology and Oncology of the First Affiliated Hospital of Zhengzhou University from November 2021 to October 2023 was conducted,followed by an analysis of drug sensitivity results and treatment outcomes.Results A total of 17 children with RR-AL underwent HDS testing,including 7 cases of relapsed refractory acute myeloid leukemia and 10 cases of relapsed refractory acute lymphoblastic leukemia.The detection rate of highly sensitive chemotherapy drugs/regimens was 53%(9/17),while the detection rate of moderately sensitive chemotherapy drugs/regimens was 100%(17/17).Among the 17 RR-AL patients with highly and moderately sensitive chemotherapy drugs and regimens,the MOACD regimen(mitoxantrone+vincristine+cytarabine+cyclophosphamide+dexamethasone)accounted for 100%,with the highest inhibition rate for single-agent mitoxantrone(94%,16/17),and the highest inhibition rate for targeted therapy being bortezomib(94%,16/17).Nine patients adjusted their chemotherapy based on HDS testing results,with 4 undergoing hematopoietic stem cell transplantation.Four patients achieved disease-free survival,while 5 died.Eight patients received empirical chemotherapy,with 2 undergoing hematopoietic stem cell transplantation;4 achieved disease-free survival,while 4 died.Conclusions HDS testing can identify highly sensitive drugs/regimens for children with RR-AL,improving the rate of re-remission and creating conditions for subsequent hematopoietic stem cell transplantation.

AIM:This study aim to investigate the effects of lipopolysaccharide(LPS)-induced inflammation on the aging phenotype of hematopoietic stem/progenitor cells(HSPCs)in the bone marrow(BM)and spleen of mice.METHODS:(1)Young(2-month old)wild-type(WT)mice were treated with LPS to establish an actue inflammation model.The percentage of HSPCs in the BM and spleen of mice after LPS stimulation,as well as the ratio of mature cells in peripheral blood(PB)and spleen,were analyzed using flow cytometry.The proliferation of HSPCs in the BM and spleen was evaluated by examining the expression of the proliferation marker Ki67.In addition,changes in CD45 expression on HSPCs in the spleen of mice following LPS exposure were investigated by flow cytometry.(2)The percentage of HSPCs in BM and mature cells in PB and spleen of both young(2-month old)and old(24-month old)WT mice were analyzed by flow cytometry.(3)The transcriptome changes of hematopoietic stem cells(HSCs)after LPS stimulation was performed by an in silico analysis.RESULTS:(1)Mice exposed to LPS exhibited a significant increase in the percentage of HSPCs in BM and a marked elevation in the percentages of myeloid cells in PB and spleen compared to the mice in control group(P<0.05).(2)LPS exposure resulted in increased spleen weight and cell counts(P<0.05),along with a higher per-centage of HSPCs in the spleen compared to controls(P<0.05).(3)LPS stimulation promoted the proliferation of HSPCs in the BM and spleen(P<0.05).(4)The expression of CD45 was reduced on HSPCs from spleen of mice after LPS stimu-lation(P<0.01).(5)In comparison to young mice,aged mice showed an increase in spleen weight and a higher percent-age of HSPCs in the spleen(P<0.05).(6)Aged mice,in comparison to young mice,demonstrated a significantly higher percentage of HSPCs in the BM and myeloid skewing in the PB and spleen(P<0.01).(7)The silico analysis revealed up-regualtion of reactive oxygen species(ROS)and apoptosis signaling in HSPCs following LPS stimulation.CONCLU-SION:Young HSPCs stimulated by LPS exhibited an increase in cell number,a bias towards myeloid differentiation,en-hanced extramedullary hematopoiesis,and elevated levels of ROS and apoptosis,all of which collectively manifested the aging phenotype of HSPCs.

Wound healing involves complex pathophysiological mechanism, among which angiogenesis is considered as one of the key steps in wound healing, and promoting wound angiogenesis can accelerate wound healing. In recent years, mesenchymal stem cell-derived extracellular vesicles have been proven to produce equivalent effects of wound healing promotion comparable to stem cell therapy, with the advantages of low antigenicity and high biocompatibility. The specific mechanism by which extracellular vesicles facilitate wound healing is still not fully understood and is thought to involve all stages of wound healing. This article focuses on the possible mechanism of extracellular vesicles of adipose-derived mesenchymal stem cells in promoting wound angiogenesis, so as to provide ideas for further study on the mechanism of extracellular vesicles to promote wound healing.
Wound Healing/physiology* ; Mesenchymal Stem Cells ; Extracellular Vesicles ; Stem Cell Transplantation

With the development of artificial intelligence (AI) technology, it has a wide range of explorations in orthodontics. AI has greater application prospects in precise measurement, multidimensional diagnosis, treatment planning and efficacy prediction. At the same time, there are certain limitations in the application of AI, such as risks caused by individual variability, black box properties and unclear delineation of medical responsibilities. This paper summarized the history and current status of AI applications in orthodontics and discussed future development trends, to provide reference for clinical orthodontics.
Humans ; Artificial Intelligence ; Orthodontics ; Dental Care ; Forecasting ; Delivery of Health Care

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography