1.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
2.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
3.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
4.Modified Lianpoyin Formula Treats Hp-associated Gastritis by Regulating Mitochondrial Autophagy and NLRP3 Inflammasome Signaling Pathway
Siyi ZHANG ; Haopeng DANG ; Wenliang LYU ; Wentao ZHOU ; Wei GUO ; Lin LIU ; Lan ZENG ; Yujie SUN ; Luming LIANG ; Yi ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):178-187
ObjectiveTo explore the effect of modified Lianpoyin formula (LPYJWF) in the treatment of Helicobacter pylori (Hp)-associated gastric mucosal damage based on mitochondrial autophagy and NLRP3 inflammasome signaling pathway. MethodsA total of 60 eight-week-old Balb/c male mice were assigned via the random number table method into control, model, high-dose LPYJWF (LPYJWF-H, 27.3 g·kg-1·d-1), medium-dose LPYJWF (LPYJWF-M, 13.65 g·kg-1·d-1), low-dose LPYJWF (LPYJWF-L, 6.83 g·kg-1·d-1), and quadruple therapy groups. Except the control group, other groups were modeled for Hp infection. Mice were administrated with LPYJWF at corresponding doses by gavage. Quadruple therapy group was given omeprazole (6.06 mg·kg-1·d-1) + amoxicillin (303 mg·kg-1·d-1) + clarithromycin (151.67 mg·kg-1·d-1) + colloidal pectin capsules (30.3 mg·kg-1·d-1) by gavage. The control group was given an equal volume of 0.9% NaCl for 14 days. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of gastric mucosa, and Warthin-Starry (W-S) silver staining was used to detect Hp colonization. Transmission electron microscopy was employed to observe the mitochondrial ultrastructure of the gastric tissue, and immunofluorescence co-localization assay was adopted to detect the expression of mitochondrial transcription factor A (TFAM) and translocase of the outer mitochondrial membrane member 20 (TOMM20). The water-soluble tetrazolium salt method and thiobarbituric acid method were used to determine the levels of superoxide dismutase (SOD) and malondialdehyde (MDA), respectively, in the gastric tissue. Western blot was employed to measure the protein levels of PTEN-induced kinase 1 (PINK1), Parkin, p62, microtubule-associated protein 1 light chain 3 (LC3), NOD-like receptor protein 3 (NLRP3), apoptosis-associated speck-like protein containing a CARD (ASC), interleukin-1β (IL-1β), and interleukin-18 (IL-18). Real-time quantitative PCR was employed to assess the mRNA levels of PINK1, Parkin, p62, and LC3. ResultsCompared with the control group, the model group presented obvious gastric mucosal damage, colonization of a large number of Hp, severe mitochondrial damage, vacuolated structures due to excessive autophagy, reduced TOMM20 and TFAM co-expression in the gastric mucosal tissue, and reduced SOD and increased MDA (P<0.01). In addition, the gastric tissue in the model group showed up-regulated protein and mRNA levels of PINK1, Parkin, and LC3 and down-regulated protein and mRNA levels of p62 (P<0.01, as well as increased expression of inflammasome-associated proteins NLRP3, ASC, IL-1β, and IL-18 (P<0.01). Compared with the model group, the LPYJWF and quadruple therapy groups showed alleviated pathological damage of gastric mucosa, reduced Hp colonization, mitigated mitochondrial damage, and increased co-expression of TOMM20 and TFAM. The SOD level was elevated in the LPYJWF-L group (P<0.01), and the MDA levels became lowered in the LPYJWF and quadruple therapy groups (P<0.05, P<0.01). Furthermore, the LPYJWF and quadruple therapy groups showed down-regulated mRNA levels of PINK1, Parkin, and LC3 and protein levels of PINK1 and Parkin, and up-regulated mRNA level of p62 (P<0.01). The LPYJWF-M, LPYJWF-H, and quadruple therapy groups showcased down-regulated LC3 Ⅱ/LC3 Ⅰ level (P<0.05, P<0.01) and up-regulated protein level of p62 (P<0.01). The expression of inflammasome-associated proteins NLRP3, ASC, IL-1β, and IL-18 were reduced in the LPYJWF and quadruple therapy groups (P<0.05, P<0.01). ConclusionLPYJWF ameliorates gastric mucosal damage and exerts mucosa-protective effects in Hp-infected mice, which may be related to the inhibition of excessive mitochondrial autophagy, thereby inhibiting the activation of the NLRP3 inflammasome pathway.
5.Modified Lianpoyin Formula Treats Hp-associated Gastritis by Regulating Mitochondrial Autophagy and NLRP3 Inflammasome Signaling Pathway
Siyi ZHANG ; Haopeng DANG ; Wenliang LYU ; Wentao ZHOU ; Wei GUO ; Lin LIU ; Lan ZENG ; Yujie SUN ; Luming LIANG ; Yi ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):178-187
ObjectiveTo explore the effect of modified Lianpoyin formula (LPYJWF) in the treatment of Helicobacter pylori (Hp)-associated gastric mucosal damage based on mitochondrial autophagy and NLRP3 inflammasome signaling pathway. MethodsA total of 60 eight-week-old Balb/c male mice were assigned via the random number table method into control, model, high-dose LPYJWF (LPYJWF-H, 27.3 g·kg-1·d-1), medium-dose LPYJWF (LPYJWF-M, 13.65 g·kg-1·d-1), low-dose LPYJWF (LPYJWF-L, 6.83 g·kg-1·d-1), and quadruple therapy groups. Except the control group, other groups were modeled for Hp infection. Mice were administrated with LPYJWF at corresponding doses by gavage. Quadruple therapy group was given omeprazole (6.06 mg·kg-1·d-1) + amoxicillin (303 mg·kg-1·d-1) + clarithromycin (151.67 mg·kg-1·d-1) + colloidal pectin capsules (30.3 mg·kg-1·d-1) by gavage. The control group was given an equal volume of 0.9% NaCl for 14 days. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of gastric mucosa, and Warthin-Starry (W-S) silver staining was used to detect Hp colonization. Transmission electron microscopy was employed to observe the mitochondrial ultrastructure of the gastric tissue, and immunofluorescence co-localization assay was adopted to detect the expression of mitochondrial transcription factor A (TFAM) and translocase of the outer mitochondrial membrane member 20 (TOMM20). The water-soluble tetrazolium salt method and thiobarbituric acid method were used to determine the levels of superoxide dismutase (SOD) and malondialdehyde (MDA), respectively, in the gastric tissue. Western blot was employed to measure the protein levels of PTEN-induced kinase 1 (PINK1), Parkin, p62, microtubule-associated protein 1 light chain 3 (LC3), NOD-like receptor protein 3 (NLRP3), apoptosis-associated speck-like protein containing a CARD (ASC), interleukin-1β (IL-1β), and interleukin-18 (IL-18). Real-time quantitative PCR was employed to assess the mRNA levels of PINK1, Parkin, p62, and LC3. ResultsCompared with the control group, the model group presented obvious gastric mucosal damage, colonization of a large number of Hp, severe mitochondrial damage, vacuolated structures due to excessive autophagy, reduced TOMM20 and TFAM co-expression in the gastric mucosal tissue, and reduced SOD and increased MDA (P<0.01). In addition, the gastric tissue in the model group showed up-regulated protein and mRNA levels of PINK1, Parkin, and LC3 and down-regulated protein and mRNA levels of p62 (P<0.01, as well as increased expression of inflammasome-associated proteins NLRP3, ASC, IL-1β, and IL-18 (P<0.01). Compared with the model group, the LPYJWF and quadruple therapy groups showed alleviated pathological damage of gastric mucosa, reduced Hp colonization, mitigated mitochondrial damage, and increased co-expression of TOMM20 and TFAM. The SOD level was elevated in the LPYJWF-L group (P<0.01), and the MDA levels became lowered in the LPYJWF and quadruple therapy groups (P<0.05, P<0.01). Furthermore, the LPYJWF and quadruple therapy groups showed down-regulated mRNA levels of PINK1, Parkin, and LC3 and protein levels of PINK1 and Parkin, and up-regulated mRNA level of p62 (P<0.01). The LPYJWF-M, LPYJWF-H, and quadruple therapy groups showcased down-regulated LC3 Ⅱ/LC3 Ⅰ level (P<0.05, P<0.01) and up-regulated protein level of p62 (P<0.01). The expression of inflammasome-associated proteins NLRP3, ASC, IL-1β, and IL-18 were reduced in the LPYJWF and quadruple therapy groups (P<0.05, P<0.01). ConclusionLPYJWF ameliorates gastric mucosal damage and exerts mucosa-protective effects in Hp-infected mice, which may be related to the inhibition of excessive mitochondrial autophagy, thereby inhibiting the activation of the NLRP3 inflammasome pathway.
6.Explainable machine learning model for predicting septic shock in critically sepsis patients based on coagulation indexes: A multicenter cohort study.
Qing-Bo ZENG ; En-Lan PENG ; Ye ZHOU ; Qing-Wei LIN ; Lin-Cui ZHONG ; Long-Ping HE ; Nian-Qing ZHANG ; Jing-Chun SONG
Chinese Journal of Traumatology 2025;28(6):404-411
PURPOSE:
Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis.
METHODS:
It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm.
RESULTS:
Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis.
CONCLUSION
The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans
;
Shock, Septic/blood*
;
Machine Learning
;
Male
;
Female
;
Retrospective Studies
;
Middle Aged
;
Aged
;
Sepsis/complications*
;
ROC Curve
;
Cohort Studies
;
Adult
;
Intensive Care Units
;
Algorithms
;
Blood Coagulation
;
Critical Illness
7.Expert consensus on the prevention and treatment of radiochemotherapy-induced oral mucositis.
Juan XIA ; Xiaoan TAO ; Qinchao HU ; Wei LUO ; Xiuzhen TONG ; Gang ZHOU ; Hongmei ZHOU ; Hong HUA ; Guoyao TANG ; Tong WU ; Qianming CHEN ; Yuan FAN ; Xiaobing GUAN ; Hongwei LIU ; Chaosu HU ; Yongmei ZHOU ; Xuemin SHEN ; Lan WU ; Xin ZENG ; Qing LIU ; Renchuan TAO ; Yuan HE ; Yang CAI ; Wenmei WANG ; Ying ZHANG ; Yingfang WU ; Minhai NIE ; Xin JIN ; Xiufeng WEI ; Yongzhan NIE ; Changqing YUAN ; Bin CHENG
International Journal of Oral Science 2025;17(1):54-54
Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans
;
Chemoradiotherapy/adverse effects*
;
Consensus
;
Risk Factors
;
Stomatitis/etiology*
8.KDM4A promotes the migration and invasion of breast cancer cell line MDA-MB-231 by downregulating BMP9
Yuanxiang CHEN ; Tao YU ; Shiyu YANG ; Tao ZENG ; Lan WEI ; Yan ZHANG
China Oncology 2024;34(2):176-184
Background and purpose:Exogenous bone morphogenetic protein 9(BMP9)inhibits the malignant progression of human breast cancer,but its expression is often abnormally low in breast cancer.In this study,we intended to explore the expression and role of epigenetically-modified histone lysine-specific demethylase 4A(KDM4A)in breast cancer,and to investigate the relationship between KDM4A and BMP9 and its possible regulatory mechanism.Methods:The expression of KDM4A in breast cancer and its relationship with BMP9 were analyzed by bioinformatics and verified by real-time fluorescence quantitative polymerase chain reaction(RTFQ-PCR)and Western blot.Chromatin immunoprecipitation(ChIP)verified the regulatory role of KDM4A on BMP9,and RNA stability experiments and CHX protein stability experiments verified the effect of KDM4A in BMP9 expression.Exogenous recombinant MDA-MB-231 cells transfected with KDM4A small interfering RNA(siKDM4A)or infected with siBMP9 adenovirus(Ad-siBMP9)were constructed using RNA interference technology and adenoviruses knocking down BMP9,and the migratory and invasive abilities of the cells were detected by scratch healing assay and transwell assay,respectively.Results:Bioinformatics analysis showed that the expression of KDM4A was significantly higher in breast cancer than in normal tissues,and there was a negative correlation between the expression of KDM4A and that of BMP9 in breast cancer;RTFQ-PCR and Western blot showed that KDM4A was highly expressed in different breast cancer cell lines,and the knockdown of KDM4A significantly up-regulated BMP9.ChIP experiment confirmed that KDM4A could be significantly enriched in the promoter region of BMP9 gene,reducing its histone lysine 36 position instead of position 4 methyl status,thus silencing the expression of BMP9.RNA stability assay and CHX protein stability assay confirmed that KDM4A had no significant effect on the mRNA of BMP9,but could affect its protein degradation.After knocking down KDM4A,the migration and invasion abilities of breast cancer cells MDA-MB-231 were significantly inhibited,and this effect could be partially reversed by knocking down BMP9.Conclusion:KDM4A is highly expressed in breast cancer and breast cancer cell MDA-MB-231,and can silence its expression by down-regulating the level of histone methylation in the promoter region of the BMP9 gene,as well as affecting the stability of BMP9 at the protein level rather than at the level of mRNA,and promoting the migration and invasion of breast cancer.
9.Preliminary study on expression of LINC02695 in neovascularization in diabetic retinopathy
Yuan YUAN ; Anmin ZHU ; Lan ZENG ; Xiaofeng LONG ; Meng YE ; Kai TANG ; Wei TAN
Chongqing Medicine 2024;53(4):487-492,497
Objective To investigate the expression of long non-coding RNA(lncRNA)LINC02695 in human retinal microvascular endothelial cells(HRMECs)in high glucose(HG)environment and its effect on the proliferation,migration and neovascularization of HRMECs.Methods HRMECs was divided into four groups:the normal glucose(NG)group(5.5 mmol/L),the HG group(30.0 mmol/L),the HG+LINC02695 silenced group(HG+si-LINC02695),and the HG+silenced control group(HG+si-NC).Real-time quantita-tive fluorescent PCR(qPCR)was used to detect the expression of LINC02695 and vascular endothelial growth factor(VEGF)mRNA in HRMECs of each group.The cell proliferation of each group was measured by Cell Counting Kit-8(CCK-8)method.The migration ability of cells in each group was detected by Transwell as-say.The tube forming ability of cells in each group was detected by tube forming experiment.Results The qPCR results showed that compared with the NG group,LINC02695 and VEGF were highly expressed in the HG group(P<0.05).Compared with the HG group,VEGF mRNA expression level in the HG+si-LINC02695 group was significantly decreased(P<0.05).The results of CCK-8 experiment showed that the proliferation ability of the HG group was significantly enhanced compared with the NG group(P<0.05).Compared with the HG group,the cell proliferation ability of the HG+si-LINC02695 group was significantly decreased(P<0.05).The results of Transwell experiment showed that the cell migration ability of the HG group was significantly increased compared with the NG group(P<0.05).Compared with the HG group,the cell migration ability of the HG+si-LINC02695 group was significantly decreased(P<0.05).The results of tube formation experiment showed that compared with the NG group,the tube formation ability of the HG group was significantly increased(P<0.05).Compared with the HG group,canalization ability of cells in the HG+si-LINC02695 group was significantly decreased(P<0.05).Conclusion LINC02695 may be involved in promoting the proliferation,migration and angiogenesis of HRMECs induced by HG.
10.Current status of research on artificial intelligence in prognostic prediction models for acute-on-chronic liver failure
Wei JIANG ; Xiujun CHANG ; Fan ZENG ; Yunping LAN
Journal of Clinical Hepatology 2024;40(9):1891-1896
Acute-on-chronic liver failure(ACLF)is a complex clinical syndrome of acute liver function deterioration on the basis of chronic liver diseases,characterized by hepatic and/or extra-hepatic organ failure and a high short-term mortality rate.At present,there is still a lack of effective treatment methods,and the mortality rate of ACLF reaches 50%-90%after comprehensive medical treatment.A simple,rapid,and accurate prognostic prediction model for ACLF can help clinicians accurately judge the prognosis of ACLF patients in the early stage,identify the patients with poor prognosis,and provide early interventions,which can improve patient prognosis to some extent and help to reduce mortality rates.With the continuous development of computer science and increasingly powerful data processing capabilities,artificial intelligence is gaining more attention and has been applied in various aspects of liver diseases including diagnosis,treatment,and prognostic prediction.With reference to the current status of research in China and globally,this article reviews the common prognostic models for ACLF and machine learning-based prognostic prediction models and summarizes the latest research advances,in order to provide new perspectives for the future development of prognostic prediction models for ACLF.

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