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.

Informed consent in psychological counseling is the first step for clients to initiate the counseling process， and the degree and effectiveness of informed consent are important factors that determine the subsequent effectiveness and development of psychological counseling. By elaborating on the connotation and importance of informed consent in psychological counseling， the ethical dilemmas of the issue of informed consent in psychological counseling were classified and summarized. There were ethical dilemmas， such as the lack of consensus， procedural guarantee mechanisms， special clients procedures and informed consent principles， as well as non-standard informed consent procedures in online psychological counseling. The paper also proposed to clarify the explanatory obligations of counselors， strengthen procedural ethical constraints， formulate special norms for informed consent for special subjects， and enhance the ethical education and capacity building of psychological counselors.

Objective: To investigate the therapeutic efficacy and potential mechanisms of fecal microbiota transplantation (FMT) in patients with type 2 diabetes mellitus (T2DM), and to preliminarily identify the traditional Chinese medicine (TCM) syndrome element characteristics of FMT in the treatment of T2DM. Methods: Between March 25, 2023 and September 30, 2024, T2DM patients who met the inclusion and exclusion criteria were enrolled at the Department of Rheumatology and Endocrinology of the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine. Participants received oral microbiota capsules as an adjunct to metformin therapy. Information obtained by four diagnostic methods of TCM, along with clinical and laboratory parameters, was collected before and after the intervention. Metagenomic sequencing was employed to analyze the gut microbiota, and Spearman correlation analysis was used to explore the relationship between laboratory indicators and differential bacterial genera. According to the post-treatment reduction in glycosylated hemoglobin (HbA1c), patients were categorized into a response (R) group and a non-response (NR) group. Treatment outcomes, safety indicators, gut microbiota changes, and TCM syndrome element features were compared between the two groups. Results: A total of 53 T2DM patients were included in the final analysis, and 30 patients were assigned to R group and 23 to NR group. After treatment, the R group exhibited significant reductions in HbA1c, fasting plasma glucose (FPG), and 2-hour postprandial glucose (2hPG) (P < 0.05 or P < 0.01). The NR group also showed significant decreases in HbA1c and FPG levels P < 0.01 or P < 0.05. Compared with the NR group, after treatment, FPG level in the R group demonstrated significant reductions (P < 0.01). As compared with before treatment, pancreatic islet function demonstrated enhancement in the R group, a significant increase in the 2-hour pastprandial C-peptide (2hC-P) levels in R group (P < 0.05), whereas no marked change was observed in the NR group. Regarding body composition indicators, the R group showed significantly lower waist-hip ratio (WHR), visceral fat (VF), and subcutaneous fat (SF) levels compared with the NR group (P < 0.01). After treatment, the NR group exhibited a significant elevation in aspartate aminotransferase (AST) levels (P < 0.05). Other safety-related indicators fluctuated within normal reference ranges, and no other adverse events, such as diarrhea, fever, or nausea, were reported. Metagenomic sequencing showed that FMT improved the diversity and richness of the gut microbiota, remodeling its overall structure. At the phylum level, the abundance of p_Firmicutes decreased significantly (P < 0.01), while the abundances of p_Bacteroidota and p_Proteobacteria increased significantly (P < 0.01). At the family level, among the 125 identified taxa, the abundances of f_Bacteroidaceae, f_Lactobacillaceae, and f_Sutterellaceae were significantly elevated, whereas six families, including f_Lachnospiraceae, f_Ruminococcaceae, and f_Coriobacteriaceae, were significantly decreased (all P < 0.05). Among the 367 taxa at the genus level, the top 10 differential genera showed significantly increased abundances of g_Bacteroides and g_Sutterella, and significantly decreased abundances in eight genera, including g_Faecalibacterium, g_Ruminococcus, g_Blautia, and g_Collinsella (all P < 0.05). Correlation analysis suggested that the phylum p_Bacillota was positively correlated with improvements in T2DM laboratory parameters, g_norank_f_Prevotellaceae was significantly positively correlated with fasting C-peptide (FC-P) and 2hC-P (P < 0.05). HbA1c demonstrated a significantly positive correlation with g_Blautia and g_Gemmiger (P < 0.05) and a significantly negative correlation with g_Bacteroides and g_Collinsella (P > 0.05). Analysis of syndrome element characteristics revealed that the R group was primarily characterized by pathological patterns of dampness, phlegm, and Yang deficiency. Before treatment, statistically significant reductions in syndrome element scores were observed for dampness, Yang deficiency, spleen, phlegm, Qi deficiency, Qi stagnation, and Yin deficiency (P < 0.01), as well as for heat and liver (P < 0.05). The NR group was mainly featured with Qi deficiency and Yin deficiency. Statistically significant changes in their syndrome element scores after treatment were noted for Qi deficiency (P < 0.01), and for spleen, Qi stagnation, liver, and blood deficiency (P < 0.05). In this group, the score changes for Yang deficiency, Yin deficiency, heat, and dampness were not statistically significant (P > 0.05). Conclusion The principles of syndrome element differentiation can be effectively applied to predict treatment efficacy and facilitate patient selection for FMT in the treatment of T2DM. Patients with T2DM presented with specific TCM syndrome element characteristics, notably dampness, phlegm, and Yang deficiency, represent a highly responsive population to FMT therapy.

The cellular and molecular components of the tumor immune microenvironment (TIME) and their information exchange processes significantly influence the trends of anti-tumor immunity. In recent years, numerous studies have begun to evaluate TIME in the context of previous cancer treatment strategies. This review will systematically summarize the compositional characteristics of TIME and, based on this foundation, explore the impact of current cancer therapies on the remodeling of TIME, aiming to provide new insights for the development of innovative immune combination therapies that can convert TIME into an anti-tumor profile.
Tumor Microenvironment/immunology* ; Humans ; Neoplasms/therapy* ; Immunotherapy/methods* ; Animals

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

OBJECTIVES: To construct vocal recognition classification models using 6 machine learning algorithms and vocal emotional characteristics of individuals with subthreshold depression to facilitate early identification of subthreshold depression. METHODS: We collected voice data from both normal individuals and participants with subthreshold depression by asking them to read specifically chosen words and texts. From each voice sample, 384-dimensional vocal emotional feature variables were extracted, including energy feature, Meir frequency cepstrum coefficient, zero cross rate feature, sound probability feature, fundamental frequency feature, difference feature. The Recursive Feature Elimination (RFE) method was employed to select voice feature variables. Classification models were then built using the machine learning algorithms Adaptive Boosting (AdaBoost), Random Forest (RF), Linear Discriminant Analysis (LDA), Logistic Regression (LR), Lasso Regression (LRLasso), and Support Vector Machine (SVM), and the performance of these models was evaluated. To assess generalization capability of the models, we used real-world speech data to evaluate the best speech recognition classification model. RESULTS: The AdaBoost, RF, and LDA models achieved high prediction accuracies of 100%, 100%, and 93.3% on word-reading speech test set, respectively. In the text-reading speech test set, the accuracies of the AdaBoost, RF, and LDA models were 90%, 80%, and 90%, respectively, while the accuracies of the other 3 models were all below 80%. On real-world word-reading and text-reading speech data, the classification models using AdaBoost and Random Forest still achieved high predictive accuracies (91.7% and 80.6% for AdaBoost and 86.1% and 77.8% for Random, respectively). CONCLUSIONS Analyzing vocal emotional characteristics allows effective identification of individuals with subthreshold depression. The AdaBoost and RF models show excellent performance for classifying subthreshold depression individuals, and may thus potentially offer valuable assistance in the clinical and research settings.
Humans ; Machine Learning ; Emotions ; Depression/diagnosis* ; Algorithms ; Voice ; Support Vector Machine ; Male ; Female

Objective To discuss the medication law of Professor Gu Shizhe in the treatment of insomnia based on various data mining techniques.Methods Clinical information of patients of Professor Gu was collected from the hospital management information system of outpatient clinic of Beijing University of Chinese Medicine(BUCM)and BUCM Famous Elderly TCM Inheritance Research Integrated Platform from January 2018 to October 2022.Professor Gu's books,such as Zhi Zhen Zhi Yao,and Gu Jisheng,Gu Shizhe Yi An Yi Hua Jing Cui,and the medical records from CNKI were screened.WPS Office 5.2.1 was used to build a database of medicine data for Professor Gu's TCM prescriptions,and R 4.2.1 was used for descriptive analysis and Apriori association rule analysis.SPSS Statistics 26.0 was used for clustering analysis,combined with theoretical analysis,to extract Professor Gu's medication law and characteristics in the treatment of insomnia.Results A total of 307 prescriptions were included,involving 250 kinds of Chinese materia medica,among which 30 were high-frequency drugs.The top 5 most frequently used were Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle,Fossilizid,Poria,Bupleuri Radix,and Ziziphi Spinosae Semen.The meridians were mainly liver and lung meridian,and the properties were mainly warm and cold,and the tastes were mainly sweet and bitter.Five core drug groups were obtained by clustering analysis,including Xiaochaihu Decoction,Erchen Decoction,Huanglian Wendan Decoction,Suanzaoren Decoction,Xiaoyao Powder and other prescriptions.Conclusion The characteristics of Professor Gu's treatment of insomnia are to reconcile Shaoyang,clear the heart and soothe the mind;pay attention to yin and yang,regulate the liver;pay attention to the liver,gallbladder,spleen and stomach;the main idea of syndrome differentiation is to reconcile Shaoyang,run the Shaoyang cardinal,and at the same time regulate qi and benefit qi and nourishes yin.

Personalized medicine emphasizes individualized and dynamic treatment decisions. There is an urgent need for a new efficacy evaluation system that can adapt to this approach. By reviewing past clinical research practices， this article pointed out the innovative needs of traditional Chinese medicine （TCM） efficacy evaluation from the perspective of personalized medicine in terms of ethical review， trial design， data management， and statistical analysis. Focusing on these needs， the article has proposed a strategic framework using syndrome differentiation and treatment in TCM as an example. The framework includes a method based on subgroup dynamic-static parallel group design and analysis， a safeguard mechanism of continuous review， dynamic informed consent， and multicenter ethical review， a technological support platform for personalized clinical efficacy evaluation and evidence support， and a statistical strategy integrating Bayesian and traditional analysis methods， aiming to promote the development of personalized TCM diagnosis and treatment.

BACKGROUND:After the treatment of femoral shaft fracture with the intramedullary nail,the third fracture open reduction indications are controversial.Some scholars believe that limited open reduction can achieve anatomical reduction,conducive to fracture healing;but some scholars believe that no open reduction of the third fracture still has a high fracture healing rate. OBJECTIVE:To investigate the effect of the circumference and displacement of the third fragment on fracture healing after intramedullary nailing of femoral shaft fractures with the third fragment. METHODS:A retrospective cohort study was conducted to analyze the clinical data of 142 patients suffered a femoral shaft fracture with a third fragment admitted to the Affiliated Lianyungang Hospital of Xuzhou Medical University from February 2016 to December 2021.The fracture were classified into three types according to the circumference of the third fracture with reference to the diaphyseal circumference at the fracture site:type 1 in 71 cases,type 2 in 52 cases,and type 3 in 19 cases.Referring to the diaphyseal diameter,the fractures were classified into three degrees according to the degree of the third fragment displacement:degree I in 95 cases,degree II in 31 cases,and degree III in 16 cases.All patients were treated with femoral interlocking intramedullary nails,and no intervention was performed for the displaced third fragment during the operation.Postoperative follow-up was performed to compare the fracture healing rate,healing time,and the modified Radiographic Union Scale for Tibia at month 9 after surgery in each group.The effect of third fracture fragment circumference and degree of displacement on fracture healing was assessed. RESULTS AND CONCLUSION:(1)All 142 patients were followed up for at least 12 months,with a mean of(14.7±4.1)months,and the overall healing rate was 73.4%.(2)When the third fragment was displaced by degree I,the healing rate,healing time,and modified Radiographic Union Scale for Tibia score at month 9 were not statistically significant among the three sub-groups of circumference classification.(3)When the third fragments were displaced by degree II or III,the healing rate and healing time were not statistically significant among the three subgroups of circumference classification;the modified Radiographic Union Scale for Tibia score at month 9 in the type 1 group was higher than that in the type 2 and 3 groups(P = 0.017).(4)Logistic regression analysis showed that a greater third fragment displacement and circumference were associated with lower fracture healing rates(P<0.05).(5)These findings indicate that in the treatment of femoral shaft fractures with third fragment by intramedullary nails,when the fracture fragment is displaced to degree I,the circumference size has little effect on fracture healing,and no intervention is required during surgery.When the third fragment is displaced to degree II or III and the circumference of which is type 1,a higher modified Radiographic Union Scale for Tibia score can still be obtained with no intervention of the third fragment.However,when the circumference is of type 2 or type 3,it significantly affects the fracture healing.Consequently,intraoperative intervention to reduce the distance of displacement of the fragment is required to lower the incidence of nonunion.The displacement of the third fracture fragments has a greater impact on fracture healing than their circumference.

Objective:This study aimed to explore the status of radiological Kashin-Beck disease (KBD) among school-aged children in Chamdo City, Tibet, through a 3-year monitoring survey, providing epidemiological evidence for prevention and control strategies.Methods:The target areas for this study were Luolong, Bianba, and Basu counties in Chamdo City, Tibet Autonomous Region, identified as having the most severe historical cases of KBD. Children aged 7-12 years attending school were enrolled as study subjects. Anteroposterior X-ray films of the right-hand were taken, and radiological diagnoses were made based on the "Diagnosis of Kashin-Beck Disease" criteria (WS/T 207-2010). Two experienced researchers independently reviewed the X-rays, and intra- and inter-group consistency were assessed using weighted Kappa values and percentage agreement. Cross-sectional surveys were conducted in 2017 and 2020 to describe the X-ray detection rates of KBD, and logistic regression analysis was employed to construct a predictive model of risk factors for radiological KBD cases.Results:In 2017, a total of 5,711 children aged 7-12 years in Chamdo City, Tibet, participated in the baseline cross-sectional survey (average age 9.2 years, 48.0% female), with 28 cases of radiological KBD. The age- and gender-standardized prevalence rate was 0.527%. In 2020, 6,771 participants (average age 9.3 years, 49.5% female) underwent a second cross-sectional survey, with 9 cases of radiological KBD and a standardized prevalence rate of 0.134%. Logistic regression analysis indicated that older age [ OR=2.439, 95% CI(1.299, 4.580), P=0.006] and female gender [ OR=8.157, 95% CI(1.016, 65.528), P=0.048] were independent risk factors for radiological KBD cases. Conversely, higher residential altitude, under the premise of Tibet's high altitude, was a protective factor [ OR=0.995, 95% CI(0.990, 0.999), P=0.032). Conclusion:The radiographically positive detection rate of KBD among school-aged children in Chamdo City, Tibet Autonomous Region, is at an extremely low level and showing a declining trend, reaching the historical standard in 2020. Considering the absence of positive signs in affected children, it suggests that local KBD has been effectively eliminated.