Objective:To investigate the moyamoya disease (MMD) -related mitochondrial genes and to elucidate potential regulatory mechanisms.Methods:The GSE157628 and GSE189993 datasets of MMD from the Gene Expression Omnibus (GEO) database were downloaded as the training set and validation set, respectively. Mitochondrial-related gene sets were obtained from the MitoCarta 3.0 database. Weighted gene co-expression network analysis was used to screen the pathogenic module genes of MMD. Venn analysis was used to identify differentially expressed genes related to mitochondria. Functional enrichment analysis was used to elucidate potential molecular functions. Mitochondrial genes were screened using three machine learning methods, receiver operator characteristic (ROC) curve, and validation set expression analysis. A diagnostic nomogram model of MMD related features was developed based on diagnostic genes. The correlation between the identified genes and MMD immune infiltration characteristics, the biological pathways involved, and potential therapeutic drugs with interactions were analyzed.Results:A total of 15 differentially expressed mitochondria-related genes were identified based on GSE157628 dataset, involving the processes related to small molecule metabolism and mitochondrial function. Three machine learning algorithms, ROC curves and expression analysis finally identified two mitochondria-related diagnostic genes: NUDT8 and RDH13. The diagnostic nomogram model developed based on these two genes had good diagnostic ability for MMD. Immune infiltration analysis showed that there was significant difference in plasma cells between the MMD group and the control group. In addition, the two diagnostic genes interacted with several therapeutic drugs. Conclusion:NUDT8 and RDH13 are identified as potential mitochondrial-related genes of MMD, and they may serve as therapeutic targets for progressive vascular occlusion in MMD.

Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the effects and mechanism of metformin on the wound healing of full-thickness skin defects in diabetic rats.Methods:This study was an experimental study. Eighteen 8-week-old male Sprague Dawley rats were divided into control group, diabetes group, and diabetes+metformin group according to complete random grouping method, with 6 rats in each group. The latter two groups of rats were used to create diabetic models, and then four circular full-thickness skin defect wounds with a diameter of 5 mm were made on the back of 18 rats. Metformin F-127 hydrogel was applied only to the wounds of rats in diabetes+metformin group. The wound healing status on post injury day (POD) 7 and 13 was observed and the wound healing rate was calculated. The wound tissue on POD 7 and 13 was collected for hematoxylin-eosin staining to measure the length of re-epithelialized epidermis and calculate the change rates in diameters of epidermal and dermal wounds, for immunohistochemical staining to detect the relative expressions of keratin 10 and proliferating cell nuclear antigen (PCNA), and for Western blotting to detect the protein expressions of keratin 10 and PCNA. The sample size in all the above experiments was 8 except that in the last experiment was 3. The correlations between the relative expressions of keratin 10 and PCNA in wound tissue in three groups of rats and their wound healing rates, and the correlation between the relative expressions of keratin 10 and PCNA in wound tissue were analyzed.Results:On POD 7, the wound healing rates of rats in diabetes group and diabetes+metformin group were 81.48% (77.89%, 85.53%) and 93.04% (92.51%, 94.24%), which were significantly lower than 100% (97.17%, 100%) in control group (with Z values of 2.37 and -3.36, respectively, P<0.05); the wound healing rate of rats in diabetes+metformin group was significantly higher than that in diabetes group ( Z=3.45, P<0.05). On POD 13, the wound healing rates of rats in control group and diabetes+metformin group were both 100% (100%, 100%), which were significantly higher than 94.47% (90.68%, 99.82%) in diabetes group (with Z values of 2.90 and -2.90, respectively, P<0.05). On POD 7, the change rates in epidermal wound diameter of rats in control group and diabetes+metformin group were significantly higher than that in diabetes group (with Z values of 3.36 and -2.74, respectively, P<0.05). The change rates in dermal wound diameter of rats in the three groups were similar on POD 7 and 13 ( P>0.05). The lengths of re-epithelialized epidermis of rats in control group and diabetes+metformin group on POD 13 were significantly longer than that in diabetes group (with Z values of 3.34 and -2.64, respectively, P<0.05). The relative expressions of keratin 10 in wound tissue of rats in diabetes group on POD 7 and 13 were significantly higher than those in control group (with Z values of -3.36 and -3.26, respectively, P<0.05) and diabetes+metformin group (with Z values of 3.36 and 3.15, respectively, P<0.05), and the relative expression of keratin 10 in wound tissue of rats in diabetes+metformin group on POD 7 was significantly lower than that in control group ( Z=3.05, P<0.05); the relative expressions of PCNA in wound tissue of rats in diabetes group on POD 7 and 13 were significantly lower than those in control group (with both Z values of 3.36, P<0.05) and diabetes+metformin group (with both Z values of -3.36, P<0.05). The protein expressions of keratin 10 in wound tissue of rats in control group and diabetes+metformin group on POD 7 as well as that in diabetes+metformin group on POD 13 were significantly lower than those in diabetes group ( P<0.05), and the protein expressions of PCNA in wound tissue of rats in control group and diabetes+metformin group on POD 7 were significantly higher than that in diabetes group ( P<0.05). There was a significant positive correlation between the relative expression of keratin 10 in wound tissue and the wound healing rate in control group and diabetes+metformin group of rats (with r values of 0.78 and 0.71, respectively, P<0.05), there was a significant negative correlation between the relative expression of PCNA in wound tissue and the wound healing rate in diabetes+metformin group of rats ( r=-0.60, P<0.05), and there was a significant negative correlation between the relative expressions of PCNA and keratin 10 in wound tissue of rats in diabetes group and diabetes+metformin group (with r values of -0.41 and -0.49, respectively, P<0.05). Conclusions:The diabetic rats with full-thickness skin defect wound exhibit delayed healing, accompanied by up-regulation of keratin 10 and down-regulation of PCNA in keratinocytes in the wound tissue. Metformin can promote wound healing in diabetic rats with full-thickness skin defects by down-regulating keratin 10 expression and up-regulating PCNA expression in keratinocytes in the wound tissue, and the wound healing rate was positively correlated with the expression of keratin 10 and negatively correlated with the expression of PCNA.

Objective:To investigate the impact of BMI1 expression in OSCC on the recruitment and differentiation of tumor-associat-ed macrophages(TAMs).Methods:BMI1 expression in 519 cases of OSCC tissues and 44 normal controls was analyzed using online datasets of GEPIA 2.0,and validated in 3 cases of OSCC samples and controls by qRT-PCR and western blotting.The function of BMI1/NF-κB axis during OSCC carcinogenesis was investigated by CCK8 assays,wound healing test and transwell assays.Macrophage phenotypes and recruitment were determined using qRT-PCR and western blotting following coculture of the cells with human monocyte cells(THP-1)by OSCC conditioned medium.Moreover,a cell line-derived xenograft(CDX)model was used to detect the effect of BMI1 on tumor growth in vivo.Results:Compared with the normal tissues and cells,the expression level of BMI1 in OSCC tissues and cells was significantly upregulated.BMI1 knockdown impaired the proliferation,migration,and invasion abilities of OSCC cell lines in NF-κB-dependent manner.Furthermore,OSCC cells with high BMI1 expression inhibited the migration of THP-1 cells,promoted M2-like macrophage polarization through NF-κB pathway in vitro.Xenograft experiments further confirmed the inhibitory effect of BMI1 knockdown on the tumorigenesis ability of OSCC cells in vivo.Conclusion:BMI1 promotes M2-like polarization by regulating NF-κB and may be used as a potential therapeutic target for antitumor immunity.

BACKGROUND:Increasing evidence suggests that N6-methyladenosine(m6A)regulators are closely associated with osteoarthritis and are considered to be a new direction in the prevention and treatment of osteoarthritis,but their specific mechanism of action is unknown. OBJECTIVE:To conduct a bioinformatics analysis of the osteoarthritis gene microarray dataset in order to explore the role of m6A in osteoarthritis and analyze the pathogenesis of osteoarthritis. METHODS:The m6A regulators associated with osteoarthritis and their expression were first extracted from the GSE1919 dataset in the GEO database using R software,and then the results were analyzed by gene difference analysis and GO and KEGG enrichment analyses.Subsequently,the results of protein-protein interaction network topology analysis and machine learning results were intersected to obtain the m6A Hub regulators,which were validated by in vitro cellular experiments. RESULTS AND CONCLUSION:A total of 16 osteoarthritis-related m6A regulators were extracted and 11 m6A differential regulators,including ZC3H13,YTHDC1,YTHDF3 and HNRNPC,were obtained by differential analysis.GO enrichment analysis showed that osteoarthritis-related m6A differential regulators played a role in the biological processes such as mRNA transport,RNA catabolism,and regulation of insulin-like growth factor receptor signaling pathway.(3)KEGG enrichment analysis showed that the differential regulators were mainly involved in the p53,interleukin-17 and AMPK signaling pathways.The combined protein-protein interaction network topology analysis and machine learning results obtained the m6A Hub regulator-YTHDC1.(5)The results of in vitro cellular experiments showed that there was a significant difference in the expression of m6A key regulator between the control and experimental groups(P<0.05).To conclude,YTHDC1 is closely related to the development of osteoarthritis,which is expected to be a molecular target of m6A for the treatment of osteoarthritis.

Objective:To investigate the surgical effect of various circulatory pathways on replantation of severed distal segments of digits.Methods:From June 2017 to June 2023, a total of 137 patients (162 digits) who received digit replantation surgery in the Department of Trauma Orthopaedics and Microsurgery of Guilin People's Hospital were retrospectively studied. The patients were 82 males (97 digits) and 55 females (65 digits) aged 11.0 months to 51.0 years old, with 31.7 years old in average. The injured digits were 36 thumbs, 43 index fingers, 32 middle fingers, 28 ring fingers and 23 little fingers. Causes of injury: 55 digits were of electric saw, 68 of sharp object cut, 26 of twisting crush and 13 of degloving injury. According to the circulatory pathways, 66 patients (88 digits) were assigned to a physiological replantation group (PRG), 50 patients (53 digits) to an arterio-venolisation group (AVG) and 21 patients (21 digits) to a nail bed bloodletting group (NBG). Functional recovery was evaluated according to the Evaluation Standard of Severed Finger Functional of Hand Surgery of Chinese Medical Association. Analysis of variance or chi-square test was employed to analyse the age, gender, time from injury to surgery, surgery time, incidence of vascular compromise of the replanted digit, survival rate, score of functional recovery of the affected digit at 6 months after surgery, and incidence of postoperative complications in each group. P<0.05 was considered statistically significant. Results:All patients were included in the 6-10 months of postoperative follow-up, with an average of 7.2 months. Regarding the score of functional recovery of affected digit according to the Evaluation Standard of Severed Finger Functional of Hand Surgery of Chinese Medical Association, PRG (86.3 points±7.9 points) was higher than that of NBG (78.3 points±11.2 points) and AVG (70.7 points±8.6 points), with statistically significant differences ( P<0.05 for both). In terms of the incidence of vascular compromise, PRG (3 digits for 3.4%) was lower than that of NBG (1 digit for 4.8%) and AVG (6 digits for 11.3%), with statistically significant differences ( P<0.05 for both). Of the survival rate, PRG (81 digits for 92.0%) was superior to that of NBG (18 digits for 85.7%) and AVG (42 digits 79.2%), with statistically significant differences ( P<0.05 for both). While of the incidence of postoperative complications, PRG (12.6%) was lower than that of AVG (17.1%) and NBG (21.2%), with statistically significant differences ( P<0.05 for both). Conclusion:For a severed distal segment of digit, the physiological replantation is preferred. For the digit with undetectable return veins, effective replantation can be achieved by the arterio-venolisation or nail bed exsanguination.

Objective To investigate the relationship between hypoxia-related genes and ischemic stroke,and to screen for molecular markers related to hypoxia. Methods First,GSE16561 and GSE58294 datasets and hypoxia-related gene sets were downloaded to screen for hypoxia-related differentially expressed genes. After functional annotation,these hypoxia-related differentially expressed genes were analyzed by the least absolute shrinkage and selection operator least absolute shrinkage and selection operator(LASSO) regression and support vector machine algorithm to screen for immune-related biomarkers,and differential immune cells were analyzed between the ischemic stroke group and the control group. Finally,transcription factors and miRNAs were predicted. Results A total of 13 hypoxia-related differentially expressed genes were screened,which were enriched mainly in the processes of glucose transmembrane transport,monosaccharide transmembrane transport,and mitophagy regulation. Based on the LASSO regression and support vector machine algorithm analyses,eight hypoxia-related biomarkers were identified,which were significantly correlated with most immune cells. Furthermore,the network of 209 transcription factors corresponding to 8 genes and 25 miRNAs corresponding to 6 genes were predicted. Conclusion Eight hypoxia-related biomarkers are identified,which may be used as potential therapeutic targets for inhibiting brain injury after stroke. In addition,glucose metabolism and immune mechanisms may play an important role in the occurrence and progression of ischemic stroke.

A chemical investigation on