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 explore the effect and mechanism of Baicalein in the treatment of hyperuricemia.Methods The mouse model of hyperuricemia was established by yeast extract combined with potassium oxazinate.The effect and potential mechanism of Baicalein in the treatment of hyperuricemia were studied by biochemical indexes,pathological changes,non-target metabonomics and network pharmacology.Results Baicalein could reduce the contents of serum uric acid,creatinine and blood urea nitrogen,reduce the inflammatory injury of renal tissue,up-regulate the expression level of uric acid excretion protein and down-regulate the expression level of uric acid reabsorption protein.Nine disease-related targets such as BCL2,SIRT1 and XDH were screened by network pharmacology.Six key metabolic pathways including nicotinic acid and nicotinamide metabolism,caffeine metabolism and purine metabolism were screened by metabonomics analysis.Conclusions Baicalein can treat hyperuricemia and reduce renal injury,and its mechanism may be related to the metabolic pathways of nicotinic acid and nicotinamide regulated by SIRT1 and quinolinate.

Objective To determine the blood physiological and biochemical indexes in the inbred SHANXI MU strain of spontaneous type 2 diabetes(T2DM)Chinese hamsters.Methods Chinese hamsters with spontaneously developed T2DM and normal hamsters(n=10 hamsters per group),aged 12 months,were selected for the study.Fasting blood samples were collected and 15 physiological parameters and 16 biochemical indicators were analyzed using a Sysmex XT automated hematology analyzer and Hitachi fully automatic biochemical analyzer.Results The white cell count,red cell count,platelet count,hemoglobin level,alanine transaminase,aspartate transaminase,glutamate,total cholesterol,triglycerides,and uric acid all differed significantly between the diabetic and control groups(P＜0.05).Conclusions The change of blood physiological and biochemical indexes in the Chinese hamster spontaneous T2DM model were in line with the trend in human T2DM incidence,thus providing basic data for the application of this model.

Objective:To analyze the dose-response relationship of 99Tc m-dimercaptosuccinic acid (DMSA) in pediatric renal static imaging. Methods:A retrospective analysis of children (model group: n=199, 81 males, 118 females; validation group: n=30, 13 males, 17 females; all age: 1 month-14 years) who underwent 99Tc m-DMSA renal static imaging from January 2022 to November 2023 in Wuhan Children′s Hospital, Tongji Medical College, Huazhong University of Science and Technology were conducted. Post-administration radiation counts and related clinical data were collected. Imaging quality was evaluated using visual analogue scoring (VAS). ROC curve analysis was used to assess the relationship between radiation count intensity (RCI) and imaging quality. A nonlinear mixed-effects modeling method was employed to establish the dose-response relationship for 99Tc m-DMSA in pediatric renal static imaging. Internal and external validations of the model were performed. Final model was utilized to evaluate patient dosing protocols. Results:Body weight was considered as a significant determinant of the dose-response relationship in 99Tc m-DMSA renal static imaging( χ2 values: 120.79, 116.36, both P<0.05). ROC curve analysis showed that the quality of diagnostic images was acceptable when the anterior renal RCI was ≥32.61 (cut-point) and the posterior renal RCI was ≥35.46 (cut-point). Both internal and external validation results demonstrated that the dose-response model established exhibited good prediction performance. Based on the final model graph, the image quality could meet the requirements for clinical diagnosis. Conclusions:The 99Tc m-DMSA dose-response model for pediatric renal static imaging is successfully established. Individualized dosage based on the model can provide a reference for clinical individualized dosing decision-making.

Hemangioma of the penile head is rare. This paper reported a patient, 16 years old, who was admitted to hospital due to the discovery of multiple masses on the head of the penis for more than two years. Physical examination showed that three vascular mass-like masses were distributed along the coronal sulcus at the 3, 9, and 12 points of the penile head, and the larger one was about 10 mm×5 mm size, blue-purple, soft, and painless. Ultrasound examination suggested that the patient had a penile head hemangioma. Surgical resection was performed, and the postoperative pathological diagnosis was penile head hemangioma.The follow-up of 3 months showed that the wound healed well without recurrence, and the penile head appearance was not obviously deform.