1.Clinical significance of IL-18 and IL-18-binding protein in bone marrow of patients with myelodysplastic syndrome
Ting WANG ; Ningyuan RAN ; Qiulin CHEN ; Donglan LIU ; Mengtong ZANG ; Nianbin LI ; Xin HE ; Jing GUAN ; Rong FU ; Zonghong SHAO
Chinese Journal of Hematology 2024;45(3):284-289
Objective:To analyze the level and clinical significance of IL-18 and IL-18-binding protein (BP) in the bone marrow of patients with myelodysplastic syndrome (MDS) .Methods:A total of 43 newly diagnosed patients with MDS who were admitted to the Department of Hematology, Tianjin Medical University General Hospital, from July 2020 to February 2021 were randomly selected. The control group consisted of 14 patients with acute myeloid leukemia (AML) and 25 patients with iron-deficiency anemia (IDA). The levels of IL-18 and IL-18 BP in the bone marrow supernatant were measured, and their correlations with MDS severity, as well as the functionality of CD8 + T cells and natural killer cells, was analyzed. Results:The levels of IL-18, IL-18 BP, and free IL-18 (fIL-18) in the bone marrow supernatant of patients with MDS were higher than in the IDA group. The level of fIL-18 was linearly and negatively correlated with the MDS-International Prognostic Scoring System (IPSS) score. IL-18 receptor (IL-18Rα) expression on CD8 + T cells in the MDS group was lower than in the IDA group, and the levels of fIL-18 and IL-18Rα were positively correlated with CD8 + T-cell function in the MDS group. Conclusion:IL-18 BP antagonizes IL-18, leading to a decrease in fIL-18 in the bone marrow microenvironment of patients with MDS, affecting CD8 + T-cell function, which is closely related to MDS severity; therefore, it may become a new target for MDS treatment.
2.Efficiency of different large language models in China in response to consultations about PCa-related perioperative nursing and health education
Xiao-Wen TAN ; Wen-Fang CHEN ; Na-Na WANG ; Hui-Yu LI ; Juan LI ; Yu-Mei CAO ; Meng-Qi ZHU ; Kun LI ; Ting-Ling ZHANG ; Dian FU
National Journal of Andrology 2024;30(2):151-156
Objective:To evaluate the efficiency of the four domestic language models,ERNIE Bot,ChatGLM2,Spark Desk and Qwen-14B-Chat,all with a massive user base and significant social attention,in response to consultations about PCa-related perio-perative nursing and health education.Methods:We designed a questionnaire that includes 15 questions commonly concerned by patients undergoing radical prostatectomy and 2 common nursing cases,and inputted the questions into each of the four language models for simulation consultation.Three nursing experts assessed the model responses based on a pre-designed Likert 5-point scale in terms of accuracy,comprehensiveness,understandability,humanistic care,and case analysis.We evaluated and compared the performance of the four models using visualization tools and statistical analyses.Results:All the models generated high-quality texts with no mis-leading information and exhibited satisfactory performance.Qwen-14B-Chat scored the highest in all aspects and showed relatively sta-ble outputs in multiple tests compared with ChatGLM2.Spark Desk performed well in terms of understandability but lacked comprehen-siveness and humanistic care.Both Qwen-14B-Chat and ChatGLM2 demonstrated excellent performance in case analysis.The overall performance of ERNIE Bot was slightly inferior.All things considered,Qwen-14B-Chat was superior to the other three models in con-sultations about PCa-related perioperative nursing and health education.Conclusion:In PCa-related perioperative nursing,large language models represented by Qwen-14B-Chat are expected to become powerful auxiliary tools to provide patients with more medical expertise and information support,so as to improve the patient compliance and the quality of clinical treatment and nursing.
3.Screening the immunophenotypic characteristics of acute promyelocytic leukemia by multiparameter flow cytometry
Ting LI ; Ping WU ; Man CHEN ; Aixian WANG ; Minjing FU ; Xueying WU ; Junyi ZHEN ; Meiwei GONG ; Hui WANG
Chinese Journal of Laboratory Medicine 2024;47(7):747-754
Objective:To explore and screen the immunophenotypic characteristics of acute promyelocytic leukemia (APL) by multiparameter flow cytometry (MFC).Methods:A retrospective and descriptive study. A total of 130 acute myeloid leukemia (AML) patients who registrated in Hebei Yanda Lu Daopei Hospital were studied, among which there were 44 classical APL (cAPL), 24 microgranular variant of APL (APLv) and 62 non-APL patients (including NPM1 mut AML and AML with KMT2A rearrangement). MFC immunotyping was used to analyze and compare the median expression intensity (MEI) of side scatter (SSC), along with the ratio of the MEI on leukemic cells with those on lymphocytes (T/L MEIR), the median fluorescence intensity (MDFI) of CD34, myeloperoxidase (MPO), CD64 and CD9 on leukemic cells, as well as the ratios of these MDFIs on leukemic cells with those on lymphocytes (T/L MDFIR). Receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic efficiency of the multiparameters model for distinguishing cAPL and non-APL, APLv and non-APL. Results:The MEI and T/L MEIR of SSC in the cAPL group were higher than those in the APLv and non-APL groups ( P<0.05), and these two parameters in APLv group were higher than those in the non-APL group, respectively ( P<0.05). The MDFIs of CD34 in cAPL and APLv groups were higher than those in the non-APL group ( P<0.05), and the T/L MDFIR of CD34 was higher in APLv group than non-APL group ( P<0.05). The MDFIs of MPO and CD9, as well as the T/L MDFIRs in cAPL and APLv groups were both higher than those in the non-APL group, respectively ( P<0.05). The MDFI and T/L MDFIR of CD64 in the cAPL group were higher than those in non-APL group, respectively ( P<0.05). ROC curve results showed that the area under the curve (AUC) of MEI of SSC, the MDFI of CD64 and CD9, as well as the T/L MEIR of SSC and T/L MDFIR of CD9 were 0.932, 0.816, 0.893, 0.960 and 0.894 for diagnosing cAPL, respectively, and the AUC of these parameters were 0.725, 0.737, 0.791, 0.729 and 0.736 for diagnosis APLv, respectively ( P<0.05). Conclusion:MFC method can analyze and screen the immunophenotypic characteristics of APL for differential diagnosis of cAPL, APLv and non-APL patients.
4.Taiwan Association for the Study of the Liver-Taiwan Society of Cardiology Taiwan position statement for the management of metabolic dysfunction- associated fatty liver disease and cardiovascular diseases
Pin-Nan CHENG ; Wen-Jone CHEN ; Charles Jia-Yin HOU ; Chih-Lin LIN ; Ming-Ling CHANG ; Chia-Chi WANG ; Wei-Ting CHANG ; Chao-Yung WANG ; Chun-Yen LIN ; Chung-Lieh HUNG ; Cheng-Yuan PENG ; Ming-Lung YU ; Ting-Hsing CHAO ; Jee-Fu HUANG ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Chern-En CHIANG ; Han-Chieh LIN ; Yi-Heng LI ; Tsung-Hsien LIN ; Jia-Horng KAO ; Tzung-Dau WANG ; Ping-Yen LIU ; Yen-Wen WU ; Chun-Jen LIU
Clinical and Molecular Hepatology 2024;30(1):16-36
Metabolic dysfunction-associated fatty liver disease (MAFLD) is an increasingly common liver disease worldwide. MAFLD is diagnosed based on the presence of steatosis on images, histological findings, or serum marker levels as well as the presence of at least one of the three metabolic features: overweight/obesity, type 2 diabetes mellitus, and metabolic risk factors. MAFLD is not only a liver disease but also a factor contributing to or related to cardiovascular diseases (CVD), which is the major etiology responsible for morbidity and mortality in patients with MAFLD. Hence, understanding the association between MAFLD and CVD, surveillance and risk stratification of MAFLD in patients with CVD, and assessment of the current status of MAFLD management are urgent requirements for both hepatologists and cardiologists. This Taiwan position statement reviews the literature and provides suggestions regarding the epidemiology, etiology, risk factors, risk stratification, nonpharmacological interventions, and potential drug treatments of MAFLD, focusing on its association with CVD.
5.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.
6.Effect of acupotomy on the fat infiltration degree of lumbar multifidus muscle in patients with lumbar disc herniation after percutaneous transforaminal endoscopic discectomy.
Yu-Xian ZHONG ; Yu DING ; Ben-Sheng FU ; Guang-Hao MA ; Hong-Peng CUI ; Ting-Ting CHEN ; Ling-Zhi PAN ; Qian LIU ; Hang-Chen XU ; Cheng-Xin LI ; Ling GUAN
Chinese Acupuncture & Moxibustion 2023;43(2):153-157
OBJECTIVE:
To observe the effect of acupotomy on the fat infiltration degree of lumbar multifidus muscle (LMM) in patients with lumbar disc herniation after percutaneous transforaminal endoscopic discectomy (PTED).
METHODS:
A total of 104 patients with lumbar disc herniation treated with PTED were randomly divided into an observation group (52 cases, 3 cases dropped off) and a control group (52 cases, 4 cases dropped off). Patients of both groups received rehabilitation training of two weeks 48 h after PTED treatment. The observation group was treated with acupotomy (L3-L5 Jiaji [EX-B 2]) once within 24 h after PTED. In the two groups, the fat infiltration cross sectional area (CSA) of LMM was compared before and 6 months after PTED, the visual analogue scale (VAS) score and Oswestry disability index (ODI) score were observed before and 1, 6 months after PTED. The correlation between fat infiltration CSA of LMM in each segment and VAS score was analyzed.
RESULTS:
Six months after PTED, the fat infiltration CSA of LMM in L4/L5 and the total L3-S1 segments of the observation group was lower than that before PTED (P<0.05), and the fat infiltration CSA of LMM in L4/L5 of the observation group was lower than the control group (P<0.01). One month after PTED, the ODI and VAS scores of the two groups were lower than those before PTED (P<0.01), and those in the observation group were lower than the control group (P<0.05). Six months after PTED, the ODI and VAS scores of the two groups were lower than those before PTED and 1 month after PTED (P<0.01), and those in the observation group were lower than the control group (P<0.01). There was a positive correlation between the fat infiltration CSA of LMM in the total L3-S1 segments and VAS scores in the two groups before PTED (r = 0.64, P<0.01). Six months after PTED, there was no correlation between the fat infiltration CSA of LMM in each segment and VAS scores in the two groups (P>0.05).
CONCLUSION
Acupotomy can improve the fat infiltration degree of LMM, pain symptoms and activities of daily living in patients with lumbar disc herniation after PTED.
Humans
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Intervertebral Disc Displacement
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Activities of Daily Living
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Paraspinal Muscles
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Treatment Outcome
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Lumbar Vertebrae
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Retrospective Studies
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Endoscopy
;
Diskectomy
;
Acupuncture Therapy
8.Cluster characteristics of physical activities among children inside and outside kindergartens and its relationship with athletic abilities
Chinese Journal of School Health 2023;44(10):1560-1563
Objective:
Based on physical activity (PA) and sedentary behavior (SB) variables on weekdays and weekends, the study aims to cluster the physical activities inside and outside kindergartens and to explore the cluster characteristics of different children using physical fitness indicators, so as to provide new strategies and methods for early childhood education and health.
Methods:
From March to June 2019, 291 children aged 3-6 years from 6 kindergartens in Nanchang were recruited by a stratified cluster random sampling method. The ActiGraph GT3X-BT triaxial accelerometer was used to measure and analyze the PA and SB levels inside and outside the kindergarten. A twostep clustering algorithm model was employed for cluster analysis. Physical fitness were measured and evaluated according to the "National Physical Fitness Measurement Standard Manual (Preschool Section)". Differences in physical fitness among different clusters of children were compared, and the cluster characteristics of different children were analyzed.
Results:
The clustering algorithm model indicated that based on six indicators, including PA and SB inside the kindergarten on weekdays, and PA and SB outside the kindergarten on both weekdays and weekends, children could be divided into three categories:active inside (high PA, low SB inside), active outside (high PA outside), and inactive (low PA, high SB both inside and outside). The average silhouette coefficient of the model was 0.3, indicating good clustering results. Both the active inside and active outside children showed significantly higher PA inside on weekdays, PA outside on weekdays and weekends, daily low intensity physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) than the inactive children ( F=157.91, 80.79 , 95.86, 95.52, 124.74, P <0.05). After adjusting for gender and age, the physical fitness scores of both active outside ( 19.03 ±0.47) and active inside (19.11±0.40) were significantly higher than those of the inactive children (17.94±0.31). Additionally, active inside children (3.91±0.14) also showed significantly better performance in continuous double-leg jumps, compared to inactive children (3.45±0.11) ( P <0.05).
Conclusion
Children active inside and those active outside perform well in PA. Future research should focus on the proportion of structured and unstructured PA time to enhance the overall physical fitness of children.
9.Efficacy and safety of secondary allogeneic hematopoietic stem cell transplantation in 70 patients with recurrent hematologic malignancies after transplantation.
Ting Ting HAN ; Yang LIU ; Yao CHEN ; Yuan Yuan ZHANG ; Hai Xia FU ; Chen Hua YAN ; Xiao Dong MO ; Feng Rong WANG ; Jing Zhi WANG ; Wei HAN ; Yuhong CHEN ; Huan CHEN ; Yuqian SUN ; Yi Fei CHENG ; Yu WANG ; Xiao Hui ZHANG ; Xiao Jun HUANG ; Lan Ping XU
Chinese Journal of Hematology 2023;44(6):458-464
Objectives: To investigate the role of donor change in the second hematopoietic stem cell transplantation (HSCT2) for hematological relapse of malignant hematology after the first transplantation (HSCT1) . Methods: We retrospectively analyzed patients with relapsed hematological malignancies who received HSCT2 at our single center between Mar 1998 and Dec 2020. A total of 70 patients were enrolled[49 males and 21 females; median age, 31.5 (3-61) yr]. Results: Forty-nine male and 21 female patients were enrolled in the trial. At the time of HSCT2, the median age was 31.5 (3-61) years old. Thirty-one patients were diagnosed with acute myeloid leukemia, 23 patients with ALL, and 16 patients with MDS or other malignant hematology disease. Thirty patients had HSCT2 with donor change, and 40 patients underwent HSCT2 without donor change. The median relapse time after HSCT1 was 245.5 (26-2 905) days. After HSCT2, 70 patients had neutrophil engraftment, and 62 (88.6%) had platelet engraftment. The cumulative incidence of platelet engraftment was (93.1±4.7) % in patients with donor change and (86.0±5.7) % in patients without donor change (P=0.636). The cumulative incidence of CMV infection in patients with and without donor change was (64.0±10.3) % and (37.0±7.8) % (P=0.053), respectively. The cumulative incidence of grade Ⅱ-Ⅳ acute graft versus host disease was (19.4±7.9) % vs (31.3±7.5) %, respectively (P=0.227). The cumulative incidence of TRM 100-day post HSCT2 was (9.2±5.1) % vs (6.7±4.6) % (P=0.648), and the cumulative incidence of chronic graft versus host disease at 1-yr post-HSCT2 was (36.7±11.4) % versus (65.6±9.1) % (P=0.031). With a median follow-up of 767 (271-4 936) days, 38 patients had complete remission (CR), and three patients had persistent disease. The CR rate was 92.7%. The cumulative incidences of overall survival (OS) and disease-free survival (DFS) 2 yr after HSCT2 were 25.8% and 23.7%, respectively. The cumulative incidence of relapse, OS, and DFS was (52.6±11.6) % vs (62.4±11.3) % (P=0.423), (28.3±8.6) % vs (23.8±7.5) % (P=0.643), and (28.3±8.6) % vs (22.3±7.7) % (P=0.787), respectively, in patients with changed donor compared with patients with the original donor. Relapses within 6 months post-HSCT1 and with persistent disease before HSCT2 were risk factors for OS, DFS, and CIR. Disease status before HSCT2 and early relapse (within 6 months post-HSCT1) was an independent risk factor for OS, DFS, and CIR post-HSCT2. Conclusion: Our findings indicate that changing donors did not affect the clinical outcome of HSCT2.
Humans
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Male
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Female
;
Adult
;
Child, Preschool
;
Child
;
Adolescent
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Young Adult
;
Middle Aged
;
Retrospective Studies
;
Hematologic Neoplasms/therapy*
;
Hematopoietic Stem Cell Transplantation/adverse effects*
;
Leukemia, Myeloid, Acute/therapy*
;
Recurrence
;
Graft vs Host Disease/etiology*
;
Chronic Disease
10.Double heterozygous pathogenic mutations in KIF3C and ZNF513 cause hereditary gingival fibromatosis.
Jianfan CHEN ; Xueqing XU ; Song CHEN ; Ting LU ; Yingchun ZHENG ; Zhongzhi GAN ; Zongrui SHEN ; Shunfei MA ; Duocai WANG ; Leyi SU ; Fei HE ; Xuan SHANG ; Huiyong XU ; Dong CHEN ; Leitao ZHANG ; Fu XIONG
International Journal of Oral Science 2023;15(1):46-46
Hereditary gingival fibromatosis (HGF) is a rare inherited condition with fibromatoid hyperplasia of the gingival tissue that exhibits great genetic heterogeneity. Five distinct loci related to non-syndromic HGF have been identified; however, only two disease-causing genes, SOS1 and REST, inducing HGF have been identified at two loci, GINGF1 and GINGF5, respectively. Here, based on a family pedigree with 26 members, including nine patients with HGF, we identified double heterozygous pathogenic mutations in the ZNF513 (c.C748T, p.R250W) and KIF3C (c.G1229A, p.R410H) genes within the GINGF3 locus related to HGF. Functional studies demonstrated that the ZNF513 p.R250W and KIF3C p.R410H variants significantly increased the expression of ZNF513 and KIF3C in vitro and in vivo. ZNF513, a transcription factor, binds to KIF3C exon 1 and participates in the positive regulation of KIF3C expression in gingival fibroblasts. Furthermore, a knock-in mouse model confirmed that heterozygous or homozygous mutations within Zfp513 (p.R250W) or Kif3c (p.R412H) alone do not led to clear phenotypes with gingival fibromatosis, whereas the double mutations led to gingival hyperplasia phenotypes. In addition, we found that ZNF513 binds to the SOS1 promoter and plays an important positive role in regulating the expression of SOS1. Moreover, the KIF3C p.R410H mutation could activate the PI3K and KCNQ1 potassium channels. ZNF513 combined with KIF3C regulates gingival fibroblast proliferation, migration, and fibrosis response via the PI3K/AKT/mTOR and Ras/Raf/MEK/ERK pathways. In summary, these results demonstrate ZNF513 + KIF3C as an important genetic combination in HGF manifestation and suggest that ZNF513 mutation may be a major risk factor for HGF.
Animals
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Humans
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Mice
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Fibromatosis, Gingival/pathology*
;
Gingiva
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Kinesins/genetics*
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Mutation/genetics*
;
Phosphatidylinositol 3-Kinases/genetics*


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