1.The constituent elements, experiences, and popularization significance of the palliative care model of integrated elderly care and medical services
Zehuan HUANG ; Mengdong XIN ; Lidan QI ; Long ZHAO ; Minyu WANG ; Lu QIN ; Zhenhua LU ; Zhao LI ; Yue HE ; Xi ZENG
Chinese Medical Ethics 2025;38(7):914-923
		                        		
		                        			
		                        			Under the trend of increasing aging, integrated elderly care and medical services is an important measure to optimize the supply of elderly care services and promote the good death of the elderly. Using the cooperative production theory and the classical grounded theory, a qualitative analysis was conducted on 38 cases of elderly palliative care and 25 cases of hospital-based palliative care under the integrated elderly care and medical services model from a hospital in Nanning City using Nvivo 20.0 software. This paper found that the integrated elderly care and medical services mode emphasized the deep integration of medical and elderly care services by integrating resources and improving service efficiency, to achieve the basic experience of comprehensive health care for the elderly. The promotion of these experiences has a positive significance for building a multi-agent cooperative production system, strengthening personnel training, perfecting the performance distribution mechanism, and further promoting the development of the national palliative care pilot. 
		                        		
		                        		
		                        		
		                        	
2.Advances and prospects of the integration of multi-omics and artificial intelligence in traditional Chinese medicine research
Guicheng Liu ; Xi Long ; Qinghua PENG ; Sainan Tian ; Shujuan Hu
Digital Chinese Medicine 2025;8(3):300-312
		                        		
		                        			Objective:
		                        			To map the research hotspots, developmental trends, and existing challenges in the integration of artificial intelligence (AI) with multi-omics in traditional Chinese medicine (TCM) through comprehensive bibliometric analysis.
		                        		
		                        			Methods:
		                        			China National Knowledge Infrastructure (CNKI), Wanfang Data, China Science and Technology Journal Database (VIP), Chaoxing Journal Database, PubMed, and Web of Science were searched to collect literature on the theme of AI in TCM multi-omics research from the inception of each database to December 31, 2024. Eligible records were required to simultaneously address AI, TCM, and multi-omics. Quantitative and visual analyses of publication growth, core authorship networks, institutional collaboration patterns, and keyword co-occurrence were performed using Microsoft Excel 2021, NoteExpress v4.0.0, and Cite Space 6.3.R1. AI application modes in TCM multi-omics research were also categorized and summarized.
		                        		
		                        			Results:
		                        			A total of 1 106 articles were enrolled (932 Chinese and 174 English). Publication output has increased continuously since 2010 and accelerated after 2016. Region-specific collaboration clusters were identified, dominated by Beijing University of Chinese Medicine, China Academy of Chinese Medical Sciences, Shanghai University of Traditional Chinese Medicine, and Nanjing University of Chinese Medicine. Keyword co-occurrence analysis revealed that current AI applications predominantly centered on metabolomics and algorithms such as cluster analysis and data mining. Research foci mainly ranked as follows: single herbs, herbal formulae, and disease-syndrome differentiation.
		                        		
		                        			Conclusion
		                        			Machine learning methods are the predominant integrative modality of AI in the realm of TCM multi-omics research at present, utilized for processing omics data and uncovering latent patterns therein. The domain of TCM, in addition to investigating omics information procured through high-throughput technologies, also integrates data on traditional Chinese medicinal substances and clinical phenotypes, progressing towards joint analysis of multi-omics, high-dimensionality of data, and multi-modality of information. Deep learning approaches represent an emerging trend in the field.
		                        		
		                        		
		                        		
		                        	
3.Thinking on ideological and political education in Medical Parasitology teaching
Xi ZHANG ; Shaorong LONG ; Ruodan LIU ; Peng JIANG ; Jing CUI ; Zhongquan WANG
Chinese Journal of Schistosomiasis Control 2024;36(1):87-90
		                        		
		                        			
		                        			 With the deepening reform of ideological and political education, Medical Parasitology teaching needs to update the teaching concept, change the teaching ideas, as well as keep trying to combine ideological and political education with the curriculum content closely. In addition to teaching students’ basic knowledge and practical skills, teachers are needed to cultivate their moral literacy and political awareness through course teaching, so as to provide the basis for students’ subsequent adaptations to social environments and jobs. Currently, the study of ideological and political education in Medical Parasitology teaching is still in the exploratory stage. Therefore, colleges and universities need to carry out effective construction of ideological and political education in Medical Parasitology teaching, in order to achieve good teaching outcomes and provide insights into ideological and political education in teaching. 
		                        		
		                        		
		                        		
		                        	
4.The value of multimodal MRI radiomics in predicting muscle-invasive bladder cancer
Yingsi YANG ; Xi LONG ; Xiaohong CHEN ; Rihui YANG ; Yuhui ZHANG ; Weixiong FAN ; Tianhui ZHANG
Journal of Practical Radiology 2024;40(2):249-252,274
		                        		
		                        			
		                        			Objective To investigate the value of multimodal MRI radiomics in predicting muscle-invasive bladder cancer.Methods A total of 178 patients with pathology diagnosis of bladder cancer were retrospectively collected,including 31 cases of muscle invasive bladder cancer(MIBC)and 147 cases of non-muscle invasive bladder cancer(NMIBC).Patients were randomly divided into training group and testing group at a ratio of 7︰3.The range of bladder tumors in T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images were segmented as volume of interest(VOI)by using ITK-SNAP software.Radiomics features were extracted through A.K software.The optimal radiomics features were obtained through radiomics algorithm and least absolute shrinkage and selection operator(LASSO)method.Finally,the logistic regression analysis method and random forest model method were used to construct prediction models.The performance of prediction models was evaluated by the receiver operating characteristic(ROC)curve.Results This study constructed four groups of models containing T2WI prediction model,DWI prediction model,ADC prediction model,and T2WI+DWI+ADC prediction model.The area under the curve(AUC)of T2WI,DWI,and ADC prediction models for identifying MIBC and NMIBC were separately 0.920,0.914,and 0.954 in the training group while those were respectively 0.881,0.773,and 0.871 in the testing group.There was no statistical significance between T2WI,DWI,and ADC prediction models.In training and testing groups,the AUC of T2WI+DWI+ADC prediction model were respectively 0.959 and 0.909,which were higher than the single sequence prediction model.The sensitivity and specificity of the training group were 0.905 and 0.853 and the sensitivity and specificity of the testing group were 0.778 and 0.795.Conclusion MRI radiomics prediction model can effectively differentiate MIBC and NMIBC.The T2WI+DWI+ADC prediction model shows better prediction efficiency.
		                        		
		                        		
		                        		
		                        	
5.Risk factors for cage retropulsion following transforaminal lumbar interbody fusion
Jintao XI ; Qilin LU ; Yang WANG ; Xiaojuan WANG ; Peng LYU ; Long CHEN ; Zhen SHI ; Wei XIE ; Yiliang ZHU ; Xugui LI
Chinese Journal of Tissue Engineering Research 2024;28(9):1394-1398
		                        		
		                        			
		                        			BACKGROUND:Previous literature reported that the fusion cage moved more than 2 mm from its original position,which means that the fusion cage moved backward.At present,clinical observation has found that the factors leading to the displacement of the fusion cage are complex,and the relationship between these factors and the cage retropulsion is not clear. OBJECTIVE:To explore the risk factors related to cage retropulsion after lumbar interbody fusion. METHODS:Retrospective analysis was conducted in 200 patients who underwent transforaminal lumbar interbody fusion surgery with a polyetheretherketone interbody fusion from February 2020 to February 2022.According to the distance from the posterior edge of the vertebral fusion cage to the posterior edge of the vertebral body after the operation(the second day after the removal of the drainage tube)and 1,3,6 and 12 months after the operation,patients were divided into cage retropulsion group(≥2 mm)and cage non-retropulsion group(<2 mm).The factors that may affect cage retropulsion,such as age,gender,body mass index,bone mineral density,operation time,bleeding,endplate injury,preoperative and postoperative interbody height,cage implantation depth,cage size,and segmental anterior convexity angle,were analyzed by univariate and logistic regression analysis. RESULTS AND CONCLUSION:(1)Posterior displacement of the fusion cage occurred in 15 cases(15/200).The differences in basic information such as age and body mass index between the two groups were not statistically significant.(2)The results of the univariate analysis were that gap height difference,time to wear a brace,segmental anterior convexity angle difference,bone mineral density,and age were related to posterior migration of the cage.(3)The results of logistic regression analysis were that cage size,endplate injury condition,and depth of cage implantation were risk factors for cage retropulsion.(4)These findings suggest that cage retropulsion after lumbar interbody fusion is caused by multiple factors,including segmental anterior convexity angle difference,bone mineral density,cage size,endplate damage,time to wear a brace,and depth of cage implantation.
		                        		
		                        		
		                        		
		                        	
6.Effects of MUC13 on the prognosis and biological behavior of gastric cancer
Xi-Long WANG ; Hong-Xing WANG ; Zhao-Gang DONG ; Yi TAN ; Yi ZHANG
Chinese Journal of Current Advances in General Surgery 2024;27(2):92-97
		                        		
		                        			
		                        			Objective:To explore the prognostic value of MUC13 expression in gastric cancer(GC)patients and its impact on the biological behavior of GC cells.Methods:Comprehensive anal-ysis of the expression pattern of MUC genes in GC tissues based on the TCGA database to screen for differentially expressed genes.Spearman correlation analysis determined the correlation of ex-pression between MUC genes in GC tissues.Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway(KEGG)enrichment analysis were used to explore the potential biological functions of MUC genes.Univariate COX regression analysis was performed to explore the relationship between all differentially expressed MUC genes and the prog-nosis of GC patients to screen out MUC genes that were significantly related to the prognosis of GC.Clinical GC tissue samples were used to further verify the expression of MUC13 through im-munofluorescence,and its relationship with the clinicopathological characteristics and prognosis of GC was analyzed.siRNA was used to silence the expression of MUC13 in GC cells,and the effect of MUC13 on cell proliferation,migration and invasion was analyzed through CCK-8,colony forma-tion and Transwell experiments.Results:Among all MUC members,the expression levels of MUC1,MUC2,MUC3A,MUC4,MCU5B,MUC12,and MUC13 were significantly upregulated in GC tissues(P<0.05).There are certain interactions between these MUC genes,and they are mainly en-riched in pathways related to digestive system processes,epithelial structure maintenance,apical plasma membrane,saliva secretion,etc.Importantly,upregulation of MUC13 in GC tissues indicates poor patient prognosis(Log-rank P<0.05).In addition,MUC13 expression was significantly correlat-ed with the age(P<0.001)of GC patients and tumor size(P=0.035).Further cell function experiments showed that after silencing MUC13,the proliferation ability of GC cells was significantly reduced(P<0.05),while their migration and invasion abilities were not significantly affected(P>0.05).Con-clusions:Highly expressed MUC13 is closely related to the poor prognosis of gastric cancer,par-ticipates in the regulation of tumor progression and is a potential therapeutic target and prognostic marker for gastric cancer.
		                        		
		                        		
		                        		
		                        	
7.Molecular mechanism of residual lumbago and leg pain after transforaminal endoscopic treatment of lumbar disc herniation
Kun YANG ; Zi-Long CHEN ; Yan-Xi CHEN ; Li-Jun REN ; Lei HOU
China Journal of Orthopaedics and Traumatology 2024;37(2):159-165
		                        		
		                        			
		                        			Objective To observe the residual of lumbago and leg pain with contained type(CT)and non-contained type(NCT)lumbar disc herniation(LDH)after transforaminal endoscopic treatment,and to explore the role of hypoxia-inducible factor-1α(HIF-1α)and transient receptor potential vanillate 1(TRPV1)pathway.Methods A total of 68 single-segment LDH patients were selected from July 2021 to October 2022,including 44 males and 24 females;aged 26 to 67 years old with an av-erage of(43.63±11.94)years old;course of disease was 4 to 36(18.91±10.34)months;body mass index was(24.45±4.00)kg·m-2;there were 7 cases of L3.4 segments,32 cases of L4,5 segments,and 29 cases of L5S1 segments.All of them were per-formed with percutaneous intervertebral endoscopic extraction of nucleus pulposus and were divided into contained group(CT group)and non-contained group(NCT group)with 34 cases respectively according to the integrity of outer layer of fibrous an-nulus observed during operation.A total of 17 patients who underwent open surgery for scoliosis or vertebral fracture were se-lected as control group,including 12 males and 5 females;aged 21 to 65 years old with an average of(39.41±12.80)years old;body mass index was(24.86±4.11)kg·m-2.The relative mRNA expression quantity of HIF-1α,TRPV1 in nucleus pulposus were measured by quantitative real-time PCR.The contents of neurokinin 1 receptor(NK1R),nerve growth factor(NGF),vascular endothelial growth factor(VEGF)in nucleus pulposus and the serum substance P(SP)and calcitonin gene-related peptide(CGRP)were detected by enzyme linked immunosorbent assay(ELISA).The threshold of lumbar tenderness was de-tected by a pressure pain meter.The degree of lumbago and lumbar function were evaluated by visual analog scale(VAS)and Oswestry disability index(ODI)separately.The residual rate of postoperative lumbago and leg pain was assessed.Results The mRNA relative expression quantity of HIF-1α and TRPV1,and the contents of NK1R,NGF and VEGF in nucleus pulposus,and the levels of serum SP and CGRP before surgery in the NCT group were higher than those in the CT group(P<0.05),and those in the CT group were higher than the control group(P<0.05).At day 7 after surgery,the serum SP and CGRP levels,lum-bago and leg pain VAS scores and lumbar ODI index in two LDH groups were lower than before surgery(P<0.05),and those in the NCT group were higher than the CT group(P<0.05),and the threshold of lumbar tenderness in the NCT group was lower than the CT group(P<0.05).The differences of lumbago and leg pain VAS scores,lumbar ODI index and lumbar tenderness threshold between preoperative and postoperative 7 days in the NCT group were lower than those in the CT group(P<0.05).The residual rate of lumbago and leg pain at 7 days after surgery in the NCT group was higher than that in the CT group(P<0.05).Conclusion HIF-1α and TRPV1 pathway promoted the excessive production of NGF,VEGF,NK1R in nucleus pulposus and serum neuropeptides SP and CGRP,which may lead to the higher residual rate of lumbago and leg pain with non-contained lumbar disc herniation postoperative.
		                        		
		                        		
		                        		
		                        	
8.Mechanism of Tongxie yaofang reducing colon hypermotility in IBS-D rats by regulating gut microbiota-ENS-MM crosstalk
Long PENG ; Jiale MA ; Yixuan YIN ; Xi BU ; Shuangmei ZHAO
China Pharmacy 2024;35(13):1605-1611
		                        		
		                        			
		                        			OBJECTIVE To study the effects of Tongxie yaofang reducing colon hypermotility in irritable bowel syndrome with diarrhea (IBS-D) rats by regulating gut microbiota-enteric nervous system (ENS)-muscularis macrophages (MM) crosstalk. METHODS Forty newborn male SD rats were randomly divided into control group, model group, TCM group [Tongxie yaofang 2.68 g/(kg·d), calculated by raw material], and positive control group [Live combined bifidobacterium and lactobacillus tablets 0.27 g/(kg·d)], with 10 rats in each group. Except for the control group, the IBS-D model of liver stagnation and spleen deficiency syndrome was induced in the other 3 groups with the method of mother-child separation+chronic restraint+Folium Sennae- induced diarrhea. After modeling, the administration groups were given relevant drug liquid intragastrically, once a day, for consecutive 2 weeks. At the end of modeling and after administration, the fecal properties (the incidence and the rate of loose stools), colonic motility (colon emptying time), and visceral sensitivity [abdominal withdrawal reflex (AWR) scores under different pressures] of rats were observed in each group. The concentration of lipopolysaccharide (LPS) in serum was detected after medication, and the expressions and distribution of bone morphogenetic protein 2 (BMP2), colony stimulating factor 1 (CSF1) and Toll-like receptor 4 (TLR4) in colon tissue were detected; the diversity, species composition and differences of gut microbiota were also determined. RESULTS At the end of modeling, compared with the control group, all rats of the other three groups suffered from loose stools (100%), the rate of loose stools and AWR scores at different pressures increased significantly, and colon emptying time was shortened significantly (P<0.01 or P<0.05). The incidences of loose stools were 20% in TCM group and 80% in the positive control group; the rate of loose stools and AWR scores at different pressures, serum concentration of LPS and protein expressions of CSF1 and TLR4 in muscle layer of colon tissue in TCM group significantly decreased, compared with the model group; colon emptying time, the average optical density of BMP2 protein in muscle layer of colon tissue, and the indexes of Chao 1, Shannon and Faith’s PD and Simpson E-mail:772699670@qq.com index of rats in TCM group were all prolonged or increased significantly, compared with the model group (P<0.01 or P< E-mail:aiwangzi312@163.com 0.05). The relative abundance ratio of Firmicutes/Bacteroidetes, from low to high, was in the order of TCM group, control group, positive control group and model group; the species composition of gut microbiota in TCM group was closer to control group, with dominant bacterial genera including Prevotella and Blautia. CONCLUSIONS Tongxie yaofang can regulate the expressions of BMP2 and CSF1, the key proteins of gut microbiota-ENS-MM crosstalk, by changing the gut microbiota, thus alleviating the abnormal hyperfunction of colon motility in IBS-D rats.
		                        		
		                        		
		                        		
		                        	
9.Prevalence of depressive symptoms among freshmen of a college in Hunan Province
PENG Haiyan ; LONG Liying ; CHEN Xi ; CHENG Ming
Journal of Preventive Medicine 2024;36(10):901-904,909
		                        		
		                        			Objective:
		                        			To investigate the prevalence of depressive symptoms among college freshmen and analyze their influencing factors, so as to provide insights into the prevention and intervention of depressive symptoms among college students.
		                        		
		                        			Methods:
		                        			The freshmen enrolled in a college of Hunan Province from 2020 to 2022 were recruited, and demographic data, diet and sleep status were collected using questionnaire surveys. Depressive symptoms were evaluated using Patient Health Questionnaire-9. Factors affecting depressive symptoms were analyzed using a multivariable logistic regression model.
		                        		
		                        			Results:
		                        			Totally 17 862 questionnaires were allocated, and 16 480 valid questionnaires were recovered, with an effective rate of 92.26%. There were 3 374 students of 2020 cohort, 7 038 students of 2021 cohort and 6 068 students of 2022 cohort, 6 029 boys (36.58%) and 10 451 girls (63.42%). The prevalence of depressive symptoms among freshmen was 41.37%. Multivariable logistic regression analysis showed that female (OR=1.482, 95%CI: 1.377-1.594), enrolling through the college entrance examination (OR=1.561, 95%CI: 1.384-1.809), depression history (OR=1.990, 95%CI: 1.513-2.618), abnormal marital status of parents (divorced, OR=1.197, 95%CI: 1.064-1.348; other problem, OR=1.401, 95%CI: 1.174-1.672), abnormal diet (mild, OR=2.883, 95%CI: 2.585-3.105; moderate, OR=6.755, 95%CI: 4.653-9.808; severe, OR=38.897, 95%CI: 12.200-124.012) and abnormal sleep (mild, OR=2.785, 95%CI: 2.593-2.992; moderate, OR=9.009, 95%CI: 7.011-11.578; severe, OR=29.281, 95%CI: 14.163-60.536) were associated with increased risk of depressive symptoms among college freshmen.
		                        		
		                        			Conclusion
		                        			The prevalence of depressive symptoms among college freshmen is relatively high, and is influenced by gender, mode of admission, history of depression, parental marital status, diet and sleep.
		                        		
		                        		
		                        		
		                        	
10.Nanozyme and Abiogenesis
Long MA ; Zi-Mo LIANG ; Yin-Yin HOU ; Jing FENG ; Ke-Long FAN ; Xi-Yun YAN
Progress in Biochemistry and Biophysics 2024;51(10):2274-2291
		                        		
		                        			
		                        			Nanozymes, a groundbreaking discovery by Chinese scientists, represent a novel and remarkable property of nanomaterials. They not only exhibit catalytic activity comparable to natural enzymes, but also boast exceptional stability, tunable reactivity, and the ability to catalyze reactions under mild conditions. The identification of nanozymes has unveiled the biocatalytic potential of inorganic nanomaterials. In parallel, inorganic minerals have long been regarded as pivotal catalysts in the origin of life, driving the synthesis of early biomolecules. These minerals not only facilitate redox reactions that convert simple inorganic compounds into organic molecules but also enable chiral selection, the synthesis of biomacromolecules, and radioprotective functions via their surface structures. Recent advances suggest that inorganic nanomaterials can delicately catalyze the formation of biomolecules, aid in macromolecular assembly, and provide radiation shielding. Furthermore, nanominerals are found in abundance across Earth and extraterrestrial environments. This paper seeks to explore the potential of nanozymes as catalytic agents in the processes that gave rise to life, integrating the catalytic roles of inorganic minerals with the unique attributes of nanozymes, which will provide a new perspective for research of origin of life. 
		                        		
		                        		
		                        		
		                        	
            

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