1.A visualized analysis of public hospitals'development in China in digital intelligence era
Chuanli LIU ; Jiuying HU ; Wei SONG
Modern Hospital 2025;25(2):174-178,182
Objective To systematically examine research progress and evolutionary trajectories of public hospitals in China in digital intelligence era,providing foundational references for digital intelligence management studies.Methods Based on papers published in core journals indexed by China National Knowledge Infrastructure(CNKI)from January 2018 to Septem-ber 2024,including those from Peking University Core,CSCD,and CSSCI journals,we conducted a visualized analysis using CiteSpace 6.2.R6 software.The analysis covered publication trends,collaboration networks,research hotspots,and core topics in the field of public hospital management research in the digital intelligence era.Results A total of 385 papers were finally in-cluded,the publication exhibiting an upward trend in number.The authors and affiliations were relatively independent.Such top-ics as"high-quality development""informatization""big data",and"smart hospital"were the predominant hotspots in public hospital management research in China.The research themes included high-quality development of public hospitals,big data ap-plications,and digital transformation and upgrading.Conclusion Smart hospital development remains to be a key research fo-cus.Enhanced interdisciplinary collaboration,methodology innovation,and multidimensional perspectives are recommended to advance hospital digitalization.
2.Microparticles from human embryonic stem cell-derived megakaryocytes promote angiogenesis
Xuan TANG ; Xuming WU ; Keyi CHEN ; Liang HU ; Jisheng LI ; Chuanli LIU ; Jinhua QIN ; Bowen ZHANG ; Yanhua LI
Chinese Journal of Pharmacology and Toxicology 2025;39(7):500-510
OBJECTIVE To establish a preparation system for megakaryocytes(MKs)derived from human embryonic stem cells(hESCs)and MK microparticles(MKMPs),and to assess the pro-angio-genic efficiency of these microparticles.METHODS ①hESCs were induced to mesodermal progenitor cells via monolayer culture with the first-stage induction medium for 2 days before the cells were induced to hemogenic endothelial/hematopoietic progenitor cells by culturing with the second-stage induction medium for another 3 days.Then,the cells were dissociated into single cells,seeded into the third-stage induction medium,and cultured using the suspension method for 8 days to obtain MKs.The specific characters of differentiated cells were identified through morphological observation and flow cytometry before stage-specific marker proteins in different periods were analyzed[hESCs:TRA-1-60,sialyl glycolipid stage-specific embryonic antigen4(SSEA4)];mesodermal progenitor cells:brachyury;hemogenic endothelial/hematopoietic progenitor cells:CD34,CD43;MKs:CD41a,CD42b),and immu-nofluorescence staining[β1-tubulin,von Willebrand factor(VWF)],[friend leukemia integration 1(FLI1),CD42].② MKMP collection and verification:MKMPs were collected via differential centrifugation.The concentration and size of these MKMPs were determined by nanoparticle tracking analysis(NTA),and both the morphology and ultrastructure were examined by transmission electron microscopy(TEM).Besides,the MKMPs-specific proteins[CD41,tumor susceptibility gene 101(TSG101)and CD9]were detected by Western blotting analysis.③ Biological function of MKMPs:MKMPs were stained with CD41a-PE antibodies and co-cultured with human umbilical veinvascular endothelial cells(HUVECs)labeled by CD34-APC for 3 h.Live-cell immunofluorescence was employed to find out whether HUVECs could absorb MKMPs.To find out whether MKMPs could affect the role of HUVECs in angio-genesis and cell migration,platelet microvesicles(PMPs)were used as positive controls.The experi-mental groups were added with different concentrations of microparticles(1,5,10 and 20 mg·L-1)while the control group was given no microparticles(0 mg·L-1).The number of nodes that formed the lumen after 5 h of incubation in Matrigel was counted,and the size of healing of the scratch area was analyzed after 6 h.To elucidate the mechanism through which MKMPs impacted angiogenesis,ELISA was used out to quantitatively detect the concentration of proteins in microparticles.RESULTS ① A three-stage differentiation cultural system was established to develop hESCs into MKs.Flow cytometry revealed progressive loss of pluripotency markers SSEA4 and TRA-1-60,while the mesodermal progenitor marker brachyury peaked at d 2.Subsequently,hemogenic endothelial/hematopoietic progenitor markers CD34 and CD43 emerged at d 5,followed by megakaryocytic markers CD41a and CD42b at d 13.Immunofluorescent images further demonstrated that MKs expressed specific proteins CD42,β1-tubulin,von VWF and FLI1 at d 13.②Microparticles were collected via differential centrifuga-tion.Transmission electron microscopy revealed that their substructure exhibited a typical double-layered membrane.Nanoparticle tracking analysis indicated that the size was(164.3±14.0)nm.The result of WB demonstrated that the microparticles expressed specific markers,including TSG101,CD9 and CD41.③ MKMPs were absorbed after being co-cultured with HUVECs for 3 h and enhanced the ability of HUVECs to form tubes and migrate.Notably,the treatment of 5 mg·L-1 MKMPs was more effective than 5 mg·L-1 PMPs treatment.The results of ELISA showed that the content of VEGF from MKMPs was higher than from PMPs,which may be the key factor in regulating endothelial biological function.CONCLUSION MKs derived from hESCs can generate functional microparticles which can promote angiogenesis.
3.A visualized analysis of public hospitals'development in China in digital intelligence era
Chuanli LIU ; Jiuying HU ; Wei SONG
Modern Hospital 2025;25(2):174-178,182
Objective To systematically examine research progress and evolutionary trajectories of public hospitals in China in digital intelligence era,providing foundational references for digital intelligence management studies.Methods Based on papers published in core journals indexed by China National Knowledge Infrastructure(CNKI)from January 2018 to Septem-ber 2024,including those from Peking University Core,CSCD,and CSSCI journals,we conducted a visualized analysis using CiteSpace 6.2.R6 software.The analysis covered publication trends,collaboration networks,research hotspots,and core topics in the field of public hospital management research in the digital intelligence era.Results A total of 385 papers were finally in-cluded,the publication exhibiting an upward trend in number.The authors and affiliations were relatively independent.Such top-ics as"high-quality development""informatization""big data",and"smart hospital"were the predominant hotspots in public hospital management research in China.The research themes included high-quality development of public hospitals,big data ap-plications,and digital transformation and upgrading.Conclusion Smart hospital development remains to be a key research fo-cus.Enhanced interdisciplinary collaboration,methodology innovation,and multidimensional perspectives are recommended to advance hospital digitalization.
4.Microparticles from human embryonic stem cell-derived megakaryocytes promote angiogenesis
Xuan TANG ; Xuming WU ; Keyi CHEN ; Liang HU ; Jisheng LI ; Chuanli LIU ; Jinhua QIN ; Bowen ZHANG ; Yanhua LI
Chinese Journal of Pharmacology and Toxicology 2025;39(7):500-510
OBJECTIVE To establish a preparation system for megakaryocytes(MKs)derived from human embryonic stem cells(hESCs)and MK microparticles(MKMPs),and to assess the pro-angio-genic efficiency of these microparticles.METHODS ①hESCs were induced to mesodermal progenitor cells via monolayer culture with the first-stage induction medium for 2 days before the cells were induced to hemogenic endothelial/hematopoietic progenitor cells by culturing with the second-stage induction medium for another 3 days.Then,the cells were dissociated into single cells,seeded into the third-stage induction medium,and cultured using the suspension method for 8 days to obtain MKs.The specific characters of differentiated cells were identified through morphological observation and flow cytometry before stage-specific marker proteins in different periods were analyzed[hESCs:TRA-1-60,sialyl glycolipid stage-specific embryonic antigen4(SSEA4)];mesodermal progenitor cells:brachyury;hemogenic endothelial/hematopoietic progenitor cells:CD34,CD43;MKs:CD41a,CD42b),and immu-nofluorescence staining[β1-tubulin,von Willebrand factor(VWF)],[friend leukemia integration 1(FLI1),CD42].② MKMP collection and verification:MKMPs were collected via differential centrifugation.The concentration and size of these MKMPs were determined by nanoparticle tracking analysis(NTA),and both the morphology and ultrastructure were examined by transmission electron microscopy(TEM).Besides,the MKMPs-specific proteins[CD41,tumor susceptibility gene 101(TSG101)and CD9]were detected by Western blotting analysis.③ Biological function of MKMPs:MKMPs were stained with CD41a-PE antibodies and co-cultured with human umbilical veinvascular endothelial cells(HUVECs)labeled by CD34-APC for 3 h.Live-cell immunofluorescence was employed to find out whether HUVECs could absorb MKMPs.To find out whether MKMPs could affect the role of HUVECs in angio-genesis and cell migration,platelet microvesicles(PMPs)were used as positive controls.The experi-mental groups were added with different concentrations of microparticles(1,5,10 and 20 mg·L-1)while the control group was given no microparticles(0 mg·L-1).The number of nodes that formed the lumen after 5 h of incubation in Matrigel was counted,and the size of healing of the scratch area was analyzed after 6 h.To elucidate the mechanism through which MKMPs impacted angiogenesis,ELISA was used out to quantitatively detect the concentration of proteins in microparticles.RESULTS ① A three-stage differentiation cultural system was established to develop hESCs into MKs.Flow cytometry revealed progressive loss of pluripotency markers SSEA4 and TRA-1-60,while the mesodermal progenitor marker brachyury peaked at d 2.Subsequently,hemogenic endothelial/hematopoietic progenitor markers CD34 and CD43 emerged at d 5,followed by megakaryocytic markers CD41a and CD42b at d 13.Immunofluorescent images further demonstrated that MKs expressed specific proteins CD42,β1-tubulin,von VWF and FLI1 at d 13.②Microparticles were collected via differential centrifuga-tion.Transmission electron microscopy revealed that their substructure exhibited a typical double-layered membrane.Nanoparticle tracking analysis indicated that the size was(164.3±14.0)nm.The result of WB demonstrated that the microparticles expressed specific markers,including TSG101,CD9 and CD41.③ MKMPs were absorbed after being co-cultured with HUVECs for 3 h and enhanced the ability of HUVECs to form tubes and migrate.Notably,the treatment of 5 mg·L-1 MKMPs was more effective than 5 mg·L-1 PMPs treatment.The results of ELISA showed that the content of VEGF from MKMPs was higher than from PMPs,which may be the key factor in regulating endothelial biological function.CONCLUSION MKs derived from hESCs can generate functional microparticles which can promote angiogenesis.
5.Heart failure prediction model based on machine learning algorithms
Chuanli HU ; Xiaosong HE ; Jiang ZHAO ; Hua LI
Basic & Clinical Medicine 2024;44(6):845-852
Objective To construct a model of heart failure risk prediction based on four machine learning algo-rithms in order to support early diagnosis and intervention.Methods After reviewing the heart failure dataset pub-lished on the Kaggle community,feature selection was used to select relevant factors related to heart failure as pre-dictive indicators.Four machine learning algorithms,namely logistic regression,support vector machine,random forest,and XGBoost were selected to establish predictive models.Compared and analyzed its accuracy,precision,recall,F1 score and area under the ROC curve(AUC)to verify the performance of the model.Results The study analyzed 11 features of 918 patients with heart failure and selected 10 feature factors for modeling.After optimizing the hyper-parameters through grid search,the XGBoost model performed the best,with accuracy,precision,recall,and f1_score and AUC values were 87.5%,90.38%,89.71%,90.04%and 0.93,respectively.In addition,data analysis showed that exercise ST slope,chest pain type,and exercise induced angina were main influencing factors for heart failure.Conclusions The XG Boost model has the best predictive tool for heart failure,and machine learning algorithms may support early prevention,early diagnosis as well as control of heart failure.
6.Correlation between type Ⅰ collagen gene polymorphism and spinal fusion rate following autologous bone transplantation
Mingtao HU ; Xiaoliang CHEN ; Chuanli ZHOU ; Dechun WANG ; Tao LIU
Chinese Journal of Tissue Engineering Research 2010;14(9):1607-1611
BACKGROUND:Basic research demonstrated that type Ⅰ collagen exhibited prominent effect on osteogenesis,bone mass and bone fracture,which also participated in the bone fusion.However,few reports concerning the polymorphism of type Ⅰ collagen gene and spinal fusion.OBJECTIVE:To investigate the polymorphism of type Ⅰ collagen and to explore its relationship with the spinal fusion rate following metal implant or autogenous bone transplantation.METHODS:A total of 200 volunteers who need to receive spinal fusion in the Affiliated Hospital of Qingdao University Medical College were selected,including 102 cases received anterior cervical subcorpectomy combined with lilac bone implantation fusion following decompression,and 98 cases received posterior laminectomy for decompression combined with intertransverse process fusion.Meantime,223 normal adults were served as the control group.The peripheral blood was drawn-off and genomic DNA was extracted from white blood cells.The specific fragment which includes the objective gene was amplified by polymerase chain reaction (PCR),with length of 293 bp.The genotypes of Pcol2 site in type Ⅰ collagen were detected by PCR-restriction fragment length polymorphism (PCR-RFLP) method.The PCR product was digested with restriction endonuclease Eco311 and the result was observed by agarose gel electrophoresis.The G gene represented for the presence of the restriction endonuclease site,while the T gene for the absence of the restriction endonuclease site.The fusion rate of the bone graft was evaluated by x-ray film prior to and at months 3,6 and 12 after operation,and the results were compared by stages including quick (<3 months),middle (3-6 months) and slow (6-12 months).RESULT AND CONCLUSION:There were the-1997G/T polymorphisms of the type Ⅰ collagen gene in 423 cases,including 166cases with GG,232 cases with GT,and 25 cases with TT,in addition,there was some correlation between the GG genotype and the lilac bone implantation fusion (P =0.004).The GG genotype accounted for 50% in the fast group,which was obviously greater than that of the middle and slow groups (33.3% and 16.7%,respectively).However,the-1997G/T polymorphisms had no correlation with the bone graft fusions inter transverse process of lumbar vertebra (P=0.831).The GG genotype in the-1997G/T polymophsim of the type Ⅰ collagen gene may be the essential factor which can promote the C-spine auto-ilium graft fusion.

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