Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

ObjectiveTo evaluate the clinical efficacy of Huayu Tongluo Formula （化瘀通络方， HTF） in patients with mid-stage diabetic kidney disease of blood stasis syndrome and explore its potential mechanisms. MethodsA multi-center， randomized， double-blind， placebo-controlled clinical trial was conducted. Ninety patients of mid-stage diabetic kidney disease of blood stasis syndrome were divided into a control group of 46 cases and a treatment group of 44 cases. Both groups received conventional western medicine treatment， the treatment group additionally taking HTF， while the control group taking a placebo of the formula. The treatment was administered once daily for 24 weeks. The primary outcomes included 24-hour urine total protein （24 h-UTP）， serum albumin （Alb）， glycated hemoglobin （HbA1c）， and serum creatinine （Scr）.The secondary outcomes included changes in levels of endothelin-1 （ET-1）， nitric oxide （NO）， vascular endothelial growth factor （VEGF）， and traditional Chinese medicine （TCM） syndrome scores before and after treatment. Clinical efficacy was evaluated based on TCM syndrome scores and overall disease outcomes. Adverse reactions and endpoint events were recorded. ResultsIn the treatment group after treatment， 24 h-UTP， ET-1， and VEGF levels significantly decreased （P＜0.05）， Alb and NO levels significantly increased （P＜0.05）； while the TCM syndrome scores for edema， lumbar pain， numbness of limbs， dark purple lips， dark purple tongue or purpura， and thin， rough pulse all significantly decreased （P＜0.05）. In the control group， no significant changes were observed in any of the indicators after treatment （P＞0.05）.Compared with the control group， the treatment group showed significant reductions in 24 h-UTP， ET-1， and VEGF levels， and increases in Alb and NO levels （P＜0.05）. The TCM syndrome scores for edema， lumbar pain， dark purple tongue or purpura， and thin， rough pulse were all lower in the treatment group than in the control group （P＜0.05）. The total effective rate of TCM syndrome in the treatment group was 59.09% （26/44）， and the overall clinical effective rate was 45.45% （20/44）. In the control group， these rates were 15.22% （7/46） and 8.7% （4/46）， respectively， with the treatment group showing significantly better outcomes （P＜0.05）. A total of 7 adverse events occurred across both groups， with no significant difference （P＞0.05）. No endpoint events occurred during the study. ConclusionOn the basis of conventional treatment of Western medicine， HTF can further reduce urinary protein levels and improve clinical symptoms in patients with mid-stage diabetic kidney disease of blood stasis syndrome. The mechanism may be related to its effects on endothelial function.

To summarize the clinical experience of Professor LIU Shangyi in treating pruritus vulvae. It is believed that women have the physiological characteristics of liver and kidney as the root， and their pubic area is easily attacked by wind-dampness pathogenic qi， so the core mechanism of pruritus vulvae is proposed as wind-dampness accumulation and deficiency of liver and kidney. The core treatment method is to dispel wind-dampness and nourish the liver and kidneys， and modify the Danggui Decoction （当归饮子） to form a self-prescribed Yinyang Formula （阴痒方） as the basic prescription to treat pruritus vulvaen.

Objective:To investigate the expression of chondroitin sulfate proteoglycan 4 pseudogene 12(CSPG4P12)in the small cell lung cancer(SCLC)tissue,its relationship with immune infiltration,and its effect on cell biological functions,and to clarify its effect in the occurrence and development of SCLC.Methods:The E-GEOD-60052 cohort was obtained by searching the ArrayExpress database for SCLC.The R language Bioconductor package was used to complete data filtering standardization,and 63 samples of SCLC tumor tissues and 7 samples of normal tissues were obtained.The Mann-Whitney U test was used to analyze the difference in CSPG4P12 expression levels between two groups.Pearson correlation analysis was used to evaluate the associations between CSPG4P12 expression levels and 47 immune checkpoint genes.The ESTIMATE algorithm and CIBERSORT algorithm were used to evaluate the correlations between CSPG4P12 expression and tumor immune cell infiltration.A case-control study was used to analyze the clinical data.A total of 230 patients with SCLC were selected as case group,and 230 healthy subjects were selected as control group.The genotyping of CSPG4P12 rs2880765,rs6496932 and rs8040855 was performed using TaqMan-MGB fluorescent probe labeling method.Odds ratio(OR)and 95％confidence interval(CI)were calculated by unconditional Logistic regression model to analyze the association between polymorphic genetic variation of CSPG4P12 gene and the risk of SCLC.The SCLC DMS114 cells were transfected with pUC-57 plasmid(control group)and CSPG4P12 over-expression plasmid(OV-CSPG4P12 group),respectively.The efficiencies of CSPG4P12 over-expression in two groups were verified by real-time fluorescence quantitative PCR(RT-qPCR)method.Cell counting kit-8(CCK-8)method was used to detect the cell proliferation activities of cells in two groups.Transwell chamber assay was used to detect the numbers of migration and invasion cells in two groups,respectively.Hoechst 33342 fluorescence staining was used to observe the cell apoptosis in two groups.Results:The ArrayExpress database E-GEOD-60052 cohort analysis showed that the expression level of CSPG4P12 mRNA in SCLC tissue was decreased compared with normal tissue(P＜0.001).The expression of CSPG4P12 had positive correlations with the immune checkpoint genes including leukocyte associated immunoglobulin like receptor 1(LAIR1)(r=0.47,P＜0.001),tumor necrosis factor(TNF)receptor superfamily member 9(TNFRSF9)(r=0.38,P＜0.01),and TNF superfamily member 9(TNFSF9)(r=0.44,P＜0.001).The ESTIMATE algorithm results showed that the matrix score,immune score and ESTIMATE composite score of the patients in CSPG4P12 low expression group were lower than those in CSPG4P12 high expression group(P＜0.01).The CIBERSORT algorithm results showed that compared with CSPG4P12 high expression group,the infiltration of M0 macrophages in CSPG4P12 low expression group was increased(P＜0.05)and the infiltration of mast cells resting was decreased(P＜0.05).The CSPG4P12 expression level had positive correlations with infiltration of mast cells resting(r=0.35,P=0.03)and mononuclear cell infiltration(r=0.34,P=0.034).In case-control studies,compared with AA genotype,CSPG4P12 rs2880765 AT and TT genotype carriers had a higher risk of SCLC(OR=1.68,95％CI=1.15-2.45,P＜0.01).The stratified analysis showed that genetic variation of rs2880765 A＞T increased the risk of SCLC in the male,younger age group(≤60 years)and smoking subgroups(males:OR=1.86,95％CI=1.18-2.93,P＜0.01;≤60 years:OR=1.73,95％CI=1.11-2.68,P＜0.01;smoking:OR=2.76,95％CI=1.49-5.13,P=0.001).The cell biology experiment showed that compared with control group,the proliferation abilities of the cells in OV-CSPG4P12 group were significantly decreased at 48 and 72 h(P＜0.01),while the number of migration cells at 24 h was significantly decreased(P＜0.01),the number of apoptotic cells at 24 h was increased(P＜0.05)and the number of invasion cells at 48 h was significantly decreased(P＜0.01).Conclusion:CSPG4P12 is lowly expressed in SCLC tumor tissue,which is associated with immune infiltration.The genetic variation of CSPG4P12 rs2880765 A＞T can increase the risk of SCLC,and its over-expression can inhibit cell proliferation,migration and invasion,and promote apoptosis.

Objective:To explore the correlation between palm temperature,disease activity,and traditional chinese medicine syndrome types in patients with rheumatoid arthritis(RA).Methods:80 RA patients(RA group)who were admitted to our hospital from April 2022 to June 2024 were selected,they were divided into high group(DAS28 score＞5.1 score)and low to moderate group(2.6 score ≤ DAS28 score≤5.1 score)according to the 28 joint disease activity scores(DAS28).70 healthy volunteers who underwent physical examinations during the same period(control group)were selected.The palm temperature,erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),and DAS28 scores between the control group and RA group were compared.The palm temperature,ESR,and CRP levels between low to moderate group and high group were compared.The correlation between palm temperature and disease activity,ESR,and CRP levels in RA patients was analyzed by Pearson correlation.The distribution of traditional chinese medicine syndrome types in RA patients was observed,the palm temperature,ESR,and CRP levels of RA patients with different traditional chinese medicine syndrome types were compared.Results:The palm temperature,ESR,CRP levels,and DAS28 score in the RA group were higher than those in the control group(P＜0.05).The palm temperature,ESR,and CRP levels in the high group were higher than those in the low to moderate group(P＜0.05).Pearson correlation analysis results showed that,the palm temperature of RA patients was positively correlated with DAS28 score,ESR,and CRP levels(P＜0.05).Among 80 RA patients,there were 17 cases(21.25％)of liver and kidney deficiency syndrome,23 cases(29.02％)of cold and dampness obstruction syndrome,14 cases(17.86％)of qi and blood deficiency syndrome,17 cases(21.47％)of damp heat obstruction syndrome,and 9 cases(11.52％)of phlegm and blood stasis obstruction syndrome.The palm temperature,ESR,and CRP levels of patients with Qi and blood deficiency syndrome,liver and kidney deficiency syndrome,and phlegm and blood stasis obstruction syndrome increased in sequence and were higher than those of patients with damp heat obstruction syndrome and cold and dampness obstruction syndrome(P＜0.05).There was no statistical difference in palm temperature,ESR,and CRP levels between the groups of damp heat obstruction syndrome and cold and dampness obstruction syndrome(P＞0.05).Conclusion:There is a certain correlation between the palm temperature and disease activity and traditional chinese medicine syndrome types of RA patients.Regular observation of palm temperature,ESR,CRP levels,and DAS28 score is helpful for assessing the condition of RA patients.

BACKGROUND:Some research has suggested that regulation of gut microbiota may influence the course of intervertebral disc degeneration.However,the causal relationship of gut microbiota on intervertebral disc degeneration is unknown.OBJECTIVE:To assess the potential causal relationship between gut microbiota and intervertebral disc degeneration using a Mendelian randomization method.METHODS:Genome-wide association analysis summary statistics for 473 gut microbiota and genome-wide association analysis summary data for intervertebral disc degeneration from the R11 of the FinnGen database(46 205 cases of intervertebral disc degeneration and 322 314 controls)from the most recent publicly available publication were applied.Inverse variance weighting,MR-Egger regression,weighted median,weighted modeling,and simple modeling were used to investigate the causal relationship between gut microbiota and intervertebral disc degeneration.Sensitivity analyses were used to test whether the results of Mendelian randomization analyses were reliable.Reverse Mendelian randomization was performed with all gut microbiota as the outcomes for effect analysis and sensitivity analysis.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighting method of the forward Mendelian randomization method showed that the order Trichosporonaceae,the family UBA-6960,the family Anaerobes thermophilus,the family Salmonellaceae,the genus Pseudomonas tufts,the species Gordonella and the species Euclidia showed a positive correlation with intervertebral disc degeneration.The order Spirochaetes,the order Pseudomonas,the family Spirochaetaceae,the genus CAG-776,the genus Helicobacter,the species CAG-448 sp003150135,the species CAG-776 sp000438195,the species Brautella-A sp000285855 and the species Hanson's Brautella showed a negative correlation with intervertebral disc degeneration.(2)The results of reverse Mendelian randomization showed that intervertebral disc degeneration was positively correlated with the genus Bartonella rosea,the genus Geobacillus C,the species Escherichia fumigatus,the species Propionibacterium fumigatus,the species UBA-1777 sp900319835,the species Pseudomonas aeruginosa and the species Bacillus subtilis,while negatively correlated with the species Streptomyces mingoldii,the species Prevotella sp000434975,the species Brault's A sp000285855,the species CAG-194 sp002441865 and the species CAG-590 sp000431135.(3)No heterogeneity or horizontal pleiotropy was found in the two-way sensitivity analysis.(4)The results described above indicate that the causal relationship between gut microbiota and intervertebral disc degeneration based on the Finnish database contributes to the exploration on new biomarkers for the early prediction and treatment of intervertebral disc degeneration in clinical practice.In addition,the establishment of a large database and the integration of medical data from multiple centers can be drawn upon in biomedical research in China to provide a solid foundation for studying the relationship between gut microbiota and intervertebral disc degeneration.We will strengthen communication and cooperation with research teams in other countries to jointly promote the research on the relationship between gut microbiota and diseases and contribute to the development of global medicine.

Contrast-free percutaneous coronary intervention demonstrates significant value in reducing contrast-associated risks.This article reports a case of a patient with iodine contrast allergy and complex coronary artery disease(involving the left main stem,left anterior descending artery,and diagonal branch),who successfully underwent contrast-free percutaneous coronary intervention(PCI)through the integration of CT angiography(CCTA),intravascular ultrasound(IVUS),and fractional flow reserve(FFR)technology.Preoperative CCTA delineated the anatomy and planned the procedural approach.Intraoperatively,IVUS assessed plaque burden and vascular remodeling,precisely guiding stent selection and positioning.FFR was combined to evaluate the functional significance of the left main stem lesion and the ischemic significance of the specific stenosis in the left anterior descending artery.Post-procedural assessment evaluated stent result and the degree of flow limitation in the diagonal branch.Through"structure-function"dual optimization,revascularization of the left anterior descending artery was achieved using a single-stent strategy,avoiding intervention on the left main stem.This case confirms that multi-modality imaging techniques can safely manage complex lesions,significantly reduce contrast volume,and are suitable for high-risk patients with allergies or renal insufficiency.Future efforts should focus on standardizing technical protocols and accumulating evidence-based evidence to facilitate the clinical implementation of contrast-free interventions.

Objective A new occipital bone removal technology was applied to improve the success rate of brain removal.Methods The skull was sawed based on the traditional brain removal technology,and part of the occipital bone was removed downward centered in external occipital protuberance to the foramen magnum,then exposed the telencephalon,cerebellum and posterior medulla oblongata.After that,removed the tentorium cerebelli and cut down the medulla oblongata and the related cranial nerves at the skull base,then removed the brain tissues.Results The removed brain tissues had structurally intact telencephalon,cerebellum and brain stem,clear vessels in the cerebral sulci,and relatively intact optic chiasm,olfactory tracts and vertebro-basilar arteries.Conclusion Brain removal through a fenestration on the external occipital protuberance can effectively preserve the integrity of brain specimens,and improve the success rate of brain removal,which is of great significance for central nervous system teaching and improvement of human brain tissue repositories.