1.Research progress on the health communication capacity of clinicians
Dingbin CAI ; Luis Manuel Dias MARTINS ; Zefeng LU ; Sanhao HUANG ; Shuangmiao WANG ; Qini HUANG ; Zhaoji LONG ; Xinxin CHEN ; Siyang YE ; Dong WANG
China Occupational Medicine 2025;52(2):216-221
Health communication aims to improve public health attitudes and behaviors by propagating health information. It plays an important role in promoting public health literacy and "Healthy China Initiative". The basic theories of health communication include "7 W" and Theory of Planned Behavior. Clinicians with profound medical expertise and a wealth of clinical practice play key roles in the communication, and they hold an unparalleled advantage in health communication by delivering authoritative and trustworthy information to the public. The capacity of health communication among clinicians in the nation is determined by various factors including professional characteristics, policy support, dissemination platforms and pathways, time and effort. Meanwhile, some problems in the research on the health communication capacity of clinicians remain, such as lack of well-established motivation systems, limited dissemination pathways, and imperfect evaluation frameworks. In some regions of China, health communication performance has been considered as part of the professional title evaluation for clinical physicians. Medical institutions and universities have also initiated relevant training and practice programs. It is crucial to improve evaluation frameworks, strengthen training pathways and effectiveness assessment, promote interdisciplinary integration, and enhance the role of clinicians in health communication in the future.
2.Chaihu and Longgu Mulitang Regulates ERK/CREB Signaling Pathway to Ameliorate Hippocampal Nerve Injury in Mouse Model of Depression
Shiyu JI ; Li WANG ; Zhuo ZHANG ; Yingzhe GAO ; Zefeng ZHANG ; Siyu CHEN ; Guangjing XIE ; Ping WANG ; Panpan HUANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(22):1-9
ObjectiveTo investigate the effects of Chaihu and Longgu Mulitang (CLMT) on hippocampal neural damage in the mouse model of depression via the extracellular signal-regulated protein kinase (ERK)/cAMP-response element-binding protein (CREB) signaling pathway. MethodsSeventy-eight male C57BL/6 mice were randomly allocated into normal control, model, low/medium/high-dose (2.89, 5.78, and 11.56 g·kg-1, respectively) CLMT, and paroxetine (10 mg·kg-1) groups. A depression model was established by chronic unpredictable mild stress (CUMS) combined with social isolation. Behavioral tests were carried out to evaluate depressive-like behaviors. Hematoxylin-eosin staining and Nissl staining were performed to assess hippocampal morphology and neuronal damage. Immunofluorescence was employed to detect glial fibrillary acidic protein (GFAP) and ionized calcium-binding adapter molecule 1 (Iba1). Real-time PCR was employed to measure the mRNA levels of ERK and CREB. Western blot was employed to determine the expression of ERK/CREB pathway proteins and brain-derived neurotrophic factor (BDNF) in the hippocampal tissue. Molecular Operating Environment (MOE) software was used for molecular docking to evaluate the interactions between CLMT components and target proteins. ResultsCompared with the normal control group, the model group showed decreased sucrose preference (P0.01), increased tail-suspension immobility time (P0.01), decreased activity in the central region of the open field test (P0.01), and decreased activity in the middle and open-arm region of the elevated plus maze test (P0.01). The hippocampal area in the model group showed wrinkled cells and a reduction in the number of cells, neurons with reduced sizes and Nissl bodies, enhanced fluorescence intensity of GFAP and Iba1 (P0.01), and down-regulated expression of phosphorylated (p)-ERK, p-CREB, and BDNF (P0.05, P0.01) and mRNA levels of ERK and CREB (P0.01). Compared with the model group, the CLMT group showed increased body weight (P0.05, P0.01), restored cell morphology, with only a small number of ruptured cells, normal neuronal structure and morphology with obvious nuclei and abundant Nissl bodies, weakened fluorescence intensity of GFAP and Iba1 (P0.05, P0.01), up-regulated mRNA levels of ERK and CREB (P0.05, P0.01) and protein levels of phosphorylated (p)-ERK, p-CREB, and BDNF in the hippocampal tissue (P0.05, P0.01). The results of molecular docking indicated that nine active ingredients in CLMT had good binding affinity with ERK and CREB. ConclusionCLMT may ameliorate the hippocampal nerve injury in the mouse model of depression by regulating the ERK/CREB pathway.
3.Research on arrhythmia classification algorithm based on adaptive multi-feature fusion network.
Mengmeng HUANG ; Mingfeng JIANG ; Yang LI ; Xiaoyu HE ; Zefeng WANG ; Yongquan WU ; Wei KE
Journal of Biomedical Engineering 2025;42(1):49-56
Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F 1-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans
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Arrhythmias, Cardiac/diagnosis*
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Algorithms
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Electrocardiography/methods*
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Neural Networks, Computer
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Signal Processing, Computer-Assisted
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Deep Learning
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Classification Algorithms
4.Risk factors for leukemia transformation in patients with myelodysplastic syndromes
Songyang ZHAO ; Zefeng XU ; Tiejun QIN ; Shiqiang QU ; Chengwen LI ; Yujiao JIA ; Lijuan PAN ; Bing LI ; Qingyan GAO ; Meng JIAO ; Huijun HUANG ; Zhijian XIAO
Chinese Journal of Hematology 2022;43(10):818-825
Objective:To explore the risk factors in leukemia transformation (LT) in those with myelodysplastic syndromes (MDS) .Methods:From January 2012 to December 2020,data on 320 patients with newly diagnosed primary MDS were gathered from the MDS center. The clinical features and molecular characteristics are explored. Additionally, a retrospective analysis of risk factors for the development of acute leukemia from MDS was done.Results:The median follow-up was13.6 (0.4-107.3) months. 23.4% (75/320) of the MDS patients had LT group. Significant differences between the LT group and non-LT group can be seen in age ( P<0.001) , bone marrow blast percentage ( P<0.001) , bone marrow fibrosis ( P=0.046) , WHO classification ( P<0.001) , IPSS-R ( P<0.001) and IPSS-R karyotype group ( P=0.001) . The median number of mutation of LT group was 1 (1, 3) , that in non-LT group was 1 (0, 2) ,which had a statistical difference ( P=0.003) .At the time of the initial diagnosis of MDS, the LT group had higher rates of the TP53 mutation ( P=0.034) , DNMT3A mutation ( P=0.026) , NRAS mutation ( P=0.027) and NPM1 mutation ( P=0.017) . Compared with the mutations at first diagnosis and LT of six patients, the number of mutations increased and the variant allele frequencies (VAF) increased significantly in LT patients. Higher bone marrow blast percentage (Refer to <5% , 5% -10% : HR=4.587, 95% CI 2.214 to 9.504, P<0.001, >10% : HR=9.352, 95% CI 4.049 to 21.600, P<0.001) , IPSS-R cytogenetic risk groups ( HR=2.603, 95% CI 1.229-5.511, P=0.012) , DNMT3A mutation ( HR=4.507, 95% CI 1.889-10.753, P=0.001) , and NPM1 mutation ( HR=3.341, 95% CI 1.164-9.591, P=0.025) were all independently associated with LT in MDS patients, according to results of multivariate Cox regression. Conclusion:Bone marrow blast percentage, IPSS-R cytogenetic risk groups, DNMT3A mutation, and NPM1 mutation are independent risk factors in LT for MDS patients.
5.Correlation between the ability of pull-up and the composition of upper limbs among male college students in Guangxi
Chinese Journal of School Health 2020;41(1):96-99
Objective:
To explore the correlation between pull-up ability and upper body composition of male college students in a college in Guangxi, and to provide scientific guidance for college students’ exercise.
Methods:
A total of 685 male college students were randomly selected from a college in Guangxi.Pull up tests were implemented according to the national physical health test standards. Measurements of muscle mass, fat mass, fat percentage, etc. of the upper limbs were conducted by using the Ogilvy Body Composition Meter (TANITA MC-180). Data entry and analysis were performed by using SPSS 23.0.
Results:
The pass rate of male college students in the region was 21.7%; There was a statistically significant difference in the fat mass and percentage of body fat between males with different pull-up ability (F=11.30,14.18,12.91,15.22,P<0.01).After controlling age, height, weight and BMI, partial correlation analysis showed that there was a negative correlation between the pull-up ability of male college students and the fat mass and limb fat rate of both upper limbs(r=-0.22, -0.33, -0.31, -0.38, P<0.01).
Conclusion
The ability of male students in Guangxi to pull up is needed to be improved. Pull-up exercises can reduce fat mass and fat percentage in the upper limbs and improve body composition.
6. Mean corpuscular volume ≤100 fl was an independent prognostic factor in patients with myelodysplastic syndrome and bone marrow blast<5 percent
Zhongxun SHI ; Tiejun QIN ; Zefeng XU ; Huijun HUANG ; Bing LI ; Shiqiang QU ; Naibo HU ; Lijuan PAN ; Dan LIU ; Ya’nan CAI ; Yudi ZHANG ; Zhijian XIAO
Chinese Journal of Hematology 2020;41(1):28-33
Objective:
To explore the prognostic effects of mean corpuscular volume (MCV) in patients with myelodysplastic syndromes (MDS) .
Methods:
321 newly diagnosed, untransfused primary MDS patients who administered from December 2009 to December 2017 were enrolled. The association of MCV with prognosis and several clinical features and genetic mutations were analyzed.
Results:
Patients were divided into MCV≤100 fl (
7.Features and clinical significance of gene mutations in patients with myelodysplastic syndromes with ring sideroblasts
Yanan CAI ; Zefeng XU ; Bing LI ; Tiejun QIN ; Lijuan PAN ; Shiqiang QU ; Naibo HU ; Dan LIU ; Huijun HUANG ; Zhongxun SHI ; Yudi ZHANG ; Zhijian XIAO
Chinese Journal of Hematology 2020;41(5):379-386
Objective:To explore the features and clinical significance of gene mutations in patients with myelodysplastic syndromes with ring sideroblasts (MDS-RS) .Methods:A total of 255 newly diagnosed primary MDS-RS patients were retrospectively reviewed from our center from January2001 to June 2019. SF3B1 gene mutations were detected by Sanger sequencing in 129 patients, and next generation sequencing (NGS) was performed in the other 126 patients using a set of selected 112-genes.Results:A total of 193 (75.7%) patients presented with SF3B1 mutation, predominantly mutant at amino acid position 700 (K700E) ( n=147, 76.2%) . Non-SF3B1 gene mutations were TET2 (16.7%) , ASXL1 (14.3%) , U2AF1 (11.1%) , TP53 (7.9%) , SETBP1 (6.3%) , and RUNX1 (6.3%) . RS 5%-<15% patients had a higher SETBP1 mutation frequency than RS≥15% patients (21.4% vs 4.5%, P=0.044) . Mutation frequencies of other genes were similar in both groups (all P>0.05) . SF3B1 variant allele frequencies (VAF) had positive correlation with marrow RS percentage but without statistical significance in RS 5%-<15% group ( P=0.078, r=0.486) . SF3B1 mutant patients presented with higher marrow RS percentage compared with wild-type patients[40.0% (15.0%-80.0%) vs 25.5% (15.0%-82.0%) , P<0.001], and SF3B1 VAF positively correlated with RS percentage ( P=0.009, rs=0.261) in RS≥15% group. Age, ANC, PLT, mean RBC corpuscular volume, RS percentage, IPSS-R cytogenetics, and IPSS-R risk score were significantly different between patients with SF3B1 mutations and wild-type SF3B1 (all P<0.05) . Multivariable survival analyses adjusted by age and IPSS-R cytogenetics revealed that SF3B1 mutation was an independent favorable prognostic factor ( HR=0.265, 95% CI 0.077-0.917, P=0.036) , and TP53 mutation was an adverse variable independent of SF3B1 mutation ( HR=6.272, 95% CI 1.725-22.809, P=0.005) . According to the mutant status of SF3B1 and TP53, MDS-RS patients were categorized into 4 groups, namely, with SF3B1 and TP53 mutation, with wild-type SF3B1 and TP53, with wild-type SF3B1 but TP53 mutation, and with SF3B1 mutation but wild-type TP53. There was a significant difference for OS among these 4 groups ( P<0.001) . The former 3 groups showed no significant difference in OS in multiple comparisons. However, the SF3B1 mutation but wild-type TP53 group had a better OS than wild-type SF3B1 but TP53 mutation group and wild-type SF3B1 and TP53 group, whereas a similar OS compared with SF3B1 and TP53 mutation group. Conclusion:SF3B1 mutations were prevalent in MDS-RS patients with the most common mutation at amino acid position 700 (K700E) . SF3B1 mutation was an independent favorable prognostic variable, whereas TP53 mutation was an independent adverse variable. SF3B1 mutation could coordinate with TP53 mutation for more sophisticated prognosis stratification in MDS-RS patients.
8.Molecular features and prognostic value of RAS mutations in patients with myelodysplastic syndromes
Huijun HUANG ; Bing LI ; Tiejun QIN ; Zefeng XU ; Naibo HU ; Lijuan PAN ; Shiqiang QU ; Dan LIU ; Yudi ZHANG ; Zhijian XIAO
Chinese Journal of Hematology 2020;41(9):723-730
Objective:To explore the molecular features and prognostic value of RAS mutations in patients with myelodysplastic syndromes (MDS) .Methods:112-gene targeted sequencing was conducted to detect RAS mutations in 776 patients with newly diagnosed primary MDS from December 2011 to December 2018. The mutual exclusivity and co-occurrence in gene mutations and clonal architecture were explored. Moreover, the prognostic significance of RAS mutations in MDS was analyzed.Results:RAS gene mutations were found in 52 (6.7% ) cases, 38 (4.9% ) of whom harbored NRAS mutation, 18 (2.3% ) KRAS mutation, and 4 (0.5% ) both NRAS and KRAS mutations. All the NRAS mutations and 65% of the KRAS mutations were located in codons 12, 13, and 61. PTPN11, FLT3, U2AF1, RUNX1, WT1, ETV6, and NPM1 mutations were enriched in patients with RAS mutations ( Q<0.05) . Around 80% of RAS mutations represented subclonal lesions in patients who harbored at least two different mutations. Patients with RAS mutations were more frequently diagnosed with MDS with excess blast (MDS-EB) (82.7% vs. 35.2% , P<0.001) and had higher levels of white blood cell count (4.33×10 9/L vs. 2.71×10 9/L, P<0.001) , neutrophil absolute count (2.13×10 9/L vs. 1.12×10 9/L, P<0.001) , and bone marrow blast percentage (7% vs. 2% , P<0.001) but lower levels of platelet count (48×10 9/L vs. 62×10 9/L, P=0.048) . RAS mutations were correlated with higher-risk categories in the Revised International Prognostic Scoring System (IPSS-R) (71.1% vs. 37.9% , P<0.001) . The median overall survival of patients with NRAS mutations was shorter than the others ( P=0.011) , while the significance was lost in the multivariable model. Conclusion:RAS gene mutations always occurred in the late-stage MDS and co-occurred with other signal transduction- and transcription factor-related gene mutations. PTPN11, a RAS pathway-related gene, is an independent poor prognostic factor in MDS patients.
9. Clinical implications and prognostic value of TP53 gene mutation and deletion in patients with myelodysplastic syndromes
Huijun HUANG ; Zhongxun SHI ; Bing LI ; Tiejun QIN ; Zefeng XU ; Hongli ZHANG ; Liwei FANG ; Naibo HU ; Lijuan PAN ; Shiqiang QU ; Dan LIU ; Yanan CAI ; Yudi ZHANG ; Zhijian XIAO
Chinese Journal of Hematology 2019;40(3):215-221
Objective:
To explore the clinical implications and prognostic value of TP53 gene mutation and deletion in patients with myelodysplastic syndromes (MDS) .
Methods:
112-gene targeted sequencing and interphase fluorescence in situ hybridization (FISH) were used to detect TP53 mutation and deletion in 584 patients with newly diagnosed primary MDS who were admitted from October 2009 to December 2017. The association of TP53 mutation and deletion with several clinical features and their prognostic significance were analyzed.
Results:
Alterations in TP53 were found in 42 (7.2%) cases. Of these, 31 (5.3%) cases showed TP53 mutation only, 8 (1.4%) cases in TP53 deletion only, 3 (0.5%) cases harboring both mutation and deletion. A total of 37 mutations were detected in 34 patients, most of them (94.6%) were located in the DNA binding domain (exon5-8) , the remaining 2 were located in exon 10 and splice site respectively. Patients with TP53 alterations harbored significantly more mutations than whom without alterations (
10. A study of clinical characteristics and prognosis of primary myelofibrosis patients with thrombocytopenia in varied degrees
Zefeng XU ; Tiejun QIN ; Hongli ZHANG ; Liwei FANG ; Naibo HU ; Lijuan PAN ; Shiqiang QU ; Bing LI ; Xin YAN ; Zhongxun SHI ; Huijun HUANG ; Dan LIU ; Ya’nan CAI ; Yudi ZHANG ; Peihong ZHANG ; Zhijian XIAO
Chinese Journal of Hematology 2019;40(1):12-16
Objective:
To evaluate clinical characteristics and prognosis of primary myelofibrosis (PMF) patients with thrombocytopenia in varied degrees.
Methods:
Clinical features and survival data of 1 305 Chinese patients with PMF were retrospectively analyzed. The prognostic value of thrombocytopenia in patients with PMF was evaluated.
Results:
320 subjects (47%) presented severe thrombocytopenia (PLT<50×109/L), 198 ones (15.2%) mild thrombocytopenia [PLT (50-99)×109/L] and 787 ones (60.3%) without thrombocytopenia (PLT ≥ 100×109/L). The more severe the thrombocytopenia, the higher the proportions of HGB<100 g/L, WBC<4×109/L, circulating blasts ≥ 3%, abnormal karyotype and unfavourable cytogenetics (


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