1. Establishment and genotype identification of hepatic stellate cell-specific Grk2 gene knockout mouse model
Yu-Han WANG ; Ya-Ping XU ; Nan LI ; Ting-Ting CHEN ; Ling LI ; Ping-Ping GAO ; Wei WEI ; Wu-Yi SUN ; Hua WANG
Chinese Pharmacological Bulletin 2024;40(1):189-194
Aim To establish a stable hepatic stellate cell ( HSC ) -specific G protein-coupled receptor kinase 2 ( GRK2 ) knockout mice and provide the important animal model for further studying the biological function of GRK2 in HSC. Methods The loxP-labeled Grk2 gene mouse (Grk2
2.Three 2,3-diketoquinoxaline alkaloids with hepatoprotective activity from Heterosmilax yunnanensis
Rong-rong DU ; Xin-yi GUO ; Wen-jie QIN ; Hua SUN ; Xiu-mei DUAN ; Xiang YUAN ; Ya-nan YANG ; Kun LI ; Pei-cheng ZHANG
Acta Pharmaceutica Sinica 2024;59(2):413-417
Three 2,3-diketoquinoxaline alkaloids were isolated from
3.A multicenter study of neonatal stroke in Shenzhen,China
Li-Xiu SHI ; Jin-Xing FENG ; Yan-Fang WEI ; Xin-Ru LU ; Yu-Xi ZHANG ; Lin-Ying YANG ; Sheng-Nan HE ; Pei-Juan CHEN ; Jing HAN ; Cheng CHEN ; Hui-Ying TU ; Zhang-Bin YU ; Jin-Jie HUANG ; Shu-Juan ZENG ; Wan-Ling CHEN ; Ying LIU ; Yan-Ping GUO ; Jiao-Yu MAO ; Xiao-Dong LI ; Qian-Shen ZHANG ; Zhi-Li XIE ; Mei-Ying HUANG ; Kun-Shan YAN ; Er-Ya YING ; Jun CHEN ; Yan-Rong WANG ; Ya-Ping LIU ; Bo SONG ; Hua-Yan LIU ; Xiao-Dong XIAO ; Hong TANG ; Yu-Na WANG ; Yin-Sha CAI ; Qi LONG ; Han-Qiang XU ; Hui-Zhan WANG ; Qian SUN ; Fang HAN ; Rui-Biao ZHANG ; Chuan-Zhong YANG ; Lei DOU ; Hui-Ju SHI ; Rui WANG ; Ping JIANG ; Shenzhen Neonatal Data Network
Chinese Journal of Contemporary Pediatrics 2024;26(5):450-455
Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75%(27/36);boys accounted for 64%(23/36).Among the 36 neonates,31(86%)had disease onset within 3 days after birth,and 19(53%)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61%)had left cerebral infarction and 13(36%)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75%)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72%)and seizures in 10 neonates(34%).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33%,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44%(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.
4.Clinical and genetic features of children with 3-methylcrotonyl-coenzyme A carboxylase deficiency:an analysis of six cases
Li-Ming ZHANG ; Sheng-Nan WU ; Ya-Nan GUO ; Jian-Wei YANG ; Hong-Qi SUN ; Jun-Mei YANG ; Yong-Xing CHEN
Chinese Journal of Contemporary Pediatrics 2024;26(8):845-851
Objective To investigate the clinical and genetic features of children with 3-methylcrotonyl-coenzyme A carboxylase deficiency(MCCD).Methods A retrospective analysis was conducted on the clinical manifestations and genetic testing results of six children with MCCD who attended Children's Hospital Affiliated to Zhengzhou University from January 2018 to October 2023.Results Among the six children with MCCD,there were 4 boys and 2 girls,with a mean age of 7 days at the time of attending the hospital and 45 days at the time of confirmed diagnosis.Of all children,one had abnormal urine odor and five had no clinical symptoms.All six children had increases in blood 3-hydroxyisovaleryl carnitine and urinary 3-hydroxyisovaleric acid and 3-methylcrotonoylglycine,and five of them had a reduction in free carnitine.A total of six mutations were identified in the MCCC1 gene,i.e.,c.1630del(p.R544Dfs*2),c.269A>G(p.D90G),c.1609T>A(p.F537I),c.639+2T>A,c.761+1G>T,and c.1331G>A(p.R444H),and three mutations were identified in the MCCC2 gene,i.e.,c.838G>T(p.D280Y),c.592C>T(p.Q198*,366),and c.1342G>A(p.G448A).Among these mutations,c.269A>G(p.D90G)and c.1609T>A(p.F537I)had not been previously reported in the literature.There was one case of maternal MCCD,and the child carried a heterozygous mutation from her mother.Five children with a reduction in free carnitine were given supplementation of L-carnitine,and free carnitine was restored to the normal level at the last follow-up visit.Conclusions This study identifies two new mutations,c.269A>G(p.D90G)and c.1609T>A(p.F537I),thereby expanding the mutation spectrum of the MCCC1 gene.A combination of blood amino acid and acylcarnitine profiles,urine organic acid analysis,and genetic testing can facilitate early diagnosis and treatment of MCCD,and provide essential data for genetic counseling.
5.Evaluation of perioperative anxiety state and analysis of influencing factors in burn patients
Shu-Ting REN ; Meng-Meng LI ; Ya-Nan BIAN ; Wen XU ; Guo-Xin GU ; Yu SUN ; Ming-Zi RAN
Medical Journal of Chinese People's Liberation Army 2024;49(7):754-760
Objective To evaluate the perioperative anxiety state and analyze the influencing factors of burned patients.Methods A total of 110 burned patients undergoing selective surgery under general anesthesia were included in the Fourth Medical Center of Chinese PLA General Hospital from February to August 2022.All patients were evaluated with self-rating anxiety scale(SAS),visual analogue scale-anxiety(VAS-a),visual analogue scale-pain(VAS-p),mini-mental state examination(MMSE),and Ramsay sedation score 1-day before and after operation.The patients'parameters were recorded including mean arterial pressure(MAP)and heart rate(HR)at admission(T0),before anesthesia induction(T1),2 min after intubation(T2),15 min after surgery(T3),during surgery(T4),at surgery end(T5),and immediately after leaving the operating room(T6).The occurrence and the influencing factors of perioperative anxiety in burn patients were analyzed using the univariate and multivariate logistic regression.Results The incidence of preoperative and postoperative anxiety in burn patients was 29.1%and 22.3%respectively.Univariate logistic analysis showed that gender(P=0.002),burn time(P=0.046),burn area(P=0.005),burn site(P=0.035),and degree of preoperative pain(P=0.001)were related with preoperative anxiety status in burn patients;while burn time(P=0.030),burn area(P=0.001),burn site(P=0.016),degree of preoperative pain(P=0.021),and preoperative anxiety status(P<0.001)were related with postoperative anxiety state in burn patients.Multivariate logistic regression analysis showed that gender and degree of preoperative pain were the independent influencing factors of preoperative anxiety status in burn patients(P=0.002,0.022),and preoperative anxiety status was the independent influencing factor of postoperative anxiety status in burn patients(P<0.001).Compared with the preoperative non-anxious patients(n=73),preoperative anxious patients(n=30)showed no significant difference in MAP at each time point(P>0.05),but HR was accelerated(P<0.05),and the dosage of sufentanil,remifentanil and propofol increased significantly during the operation(P<0.05).Conclusions The anxiety state of burn patients was significantly higher before operation than that after operation,and their consumption of anesthetic drugs during operation was higher,and there was no significant correlation with the type and number of operation.Gender,degree of preoperative pain and anxiety state were the independent influencing factors of perioperative anxiety state in burn patients.Early intervention against relevant factors will help patients recover quickly.
6.Expression of MiR-144/451 in Different Types of Anemia
Fan YANG ; Ling LING ; Ya-Ying HOU ; Lan YANG ; Mei SUN ; Fang-Fang WANG ; Duo-Nan YU
Journal of Experimental Hematology 2024;32(3):825-830
Objective:io investigate the expression level and clinical correlation of microRNA-144/451 gene cluster(miR-144/451)in different types of anemia.Methods:The peripheral blood of patients with aplastic anemia(AA),myelodysplastic syndrome(MDS)and diffuse large B-cell lymphoma(DLBCL)who had been diagnosed with anemia for the first time and after chemotherapy were collected.The expression levels of miR-144 and miR-451 were measured by RT-qPCR,and the correlation between the expression levels of miR-144 and miR-451 and routine laboratory indexes was analyzed by Spearman correlation analysis.Results:The expression levels of miR-144 and miR-451 in the peripheral blood of AA and MDS patients were significantly lower than those in normal controls(all P<0.0 1).No statistical differences were observed in the expression level of miR-144 in three subgroups of DLBCL patients(P>0.05),while the expression level of miR-451 in peripheral blood of three subgroups of DLBCL patients were significantly higher than those in normal controls(all P<0.05).Correlation analysis showed that the expression levels of miR-144 and miR-451 in AA patients were positively correlated with red blood cell distribution width-coefficient of variation(RDW-CV)(r=0.629,0.574).There were no significant correlations between the expression levels of miR-144 and miR-451 and laboratory parameters in MDS and DLBCL patients.Conclusion:Different types of anemia disorders have varying levels of miR-144 and miR-451 expression,which is anticipated to develop into a secondary diagnostic and differential diagnostic indicator for clinical anemia diseases.
7.Etiology,Clinical Characteristics and Prognosis of Secondary Hemophagocytic Syndrome
Ya-Li ZHANG ; Jing-Nan HAO ; Meng-Meng SUN ; Xiao-Ying XING ; Shu-Kai QIAO
Journal of Experimental Hematology 2024;32(4):1230-1237
Objective:To understand the etiology,clinical characteristics and prognosis of secondary hemophagocytic syndrome(HLH),so as to improve the understanding of HLH and reduce the rates of misdiagnosis and missed diagnosis of HLH.Methods:A retrospective study was conducted to analyze the cause,clinical characteristics,laboratory findings,therapy and outcomes of 75 adult patients with secondary HLH admitted to our hospital from January 2015 to December 2021.Follow-up continued until the last discharge time.Results:Among 75 patients,infection-related HLH was the most common(45.33%),followed by lymphoma-related HLH(17.33%).Fever was the most common clinical manifestation(97.67%).Laboratory indicators such as NK cell activity(98.31%low or absent),sCD25(93.22%increased),and serum ferritin(94.44%elevated)had higher sensitivity in diagnosis.By comparing the clinical manifestations and laboratory indicators of HLH patients with different causes,sex,lymph node enlargement and bone marrow morphology were more valuable for the diagnosis of primary disease(all P<0.05).By comparing the treatment and clinical outcomes of HLH patients with different causes,the highest clinical remission rate(83.3%)was achieved in patients with autoimmune disease-related HLH treated with hormone+cyclosporine(P<0.05).The overall 12-month survival rate of all patients was 26.7%,in which the infection-related HLH was the lowest(14.7%)while autoimmune disease-related HLH was the highest(63.6%).Conclusion:The causes and clinical characteristics of adult secondary HLH are varied,with poor prognosis and heterogeneity in disease severity.It is important to identify HLH cause early for diagnosis and needed to further understand HLH.
8.The RNA binding protein QKI can promote gastric cancer by regulating cleavage of EMT-related gene transcripts to form circRNAs
Yi-Shuang CUI ; Xuan ZHENG ; Ya-Nan WU ; Yi-Han YAO ; Jun WANG ; Zi-Qing LIU ; Guo-Gui SUN
Chinese Pharmacological Bulletin 2024;40(8):1462-1473
Aim To study the proliferation,invasion and migration ability of Quaking(QKI)in gastric cancer(GC)via elucidating the molecular mechanisms associated with QKI in the occurrence and development of GC through bioinformatics.Methods Differential expression analysis of QKI was performed across vari-ous human cancer samples by merging data from the TCGA and GTEx databases.The correlation was ana-lyzed between QKI protein expression and tumor muta-tion burden(TMB)score,microsatellite instability(MSI)score,and ESTIMATE score,and the correla-tion was also explored between QKI protein expression and overall survival(OS),disease free survival(DFS),and progression free survival(PFS).EMT related genes that could encode DECircRNAs were ob-tained through bioinformatics analysis to construct a QKI-EMT-circRNAs regulatory network.The differenti-ally expressed circRNAs and EMT related genes in TMK1 cells were verified.The proliferation,invasion and migration ability of the QKI was studied by using the knockdown system.Results QKI was differential-ly expressed in the vast majority of tumors and was closely related to TMB,MSI,and tumor microenviron-ment(TME);QKI emerged as a high-risk factor for predicting OS,DFS,and PFS in individuals with com-mon human cancers.QKI regulated the splicing of 6 EMT related gene transcripts to form eight circRNAs,all of which were significantly associated with the prog-nosis of gastric cancer patients.Cell experiments showed that compared to normal gastric epithelial cells,only hsa_ccirc_0004015,CALD1,and CDK14 were down-regulated in TMK1 cells.Knocking down QKI inhibited the proliferation,invasion and migration ability of TMK1 cells.Conclusion QKI exerts regu-latory control over the transcription of six EMT-related genes,resulting in the formation of circRNAs,thereby promoting the pathogenesis and progression of GC.QKI is highly expressed in TMK1 cells,and knock-down of QKI can inhibit the proliferation,invasion and migration ability of TMK1 cells.
9.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

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