1.Expression regulation of lipid metabolism gene ABHD5 in the mouse of testes
Hao LIU ; Ze-yu LI ; Kai-cheng SHEN ; Yuan-di HUANG ; De-xi SU ; Rui CHENG ; Ke XIONG ; Yi ZHI ; Wei-bing LI
National Journal of Andrology 2025;31(6):492-498
Objective:To explore the expression regulation of lipid metabolism gene ABHD5 in testes.Methods:Differential gene analysis was performed by integrating databases of TCGA and GTEx to identify the target gene ABHD5.The expression trends of ABHD5 gene in testicular carcinoma tissue were analyzed.Human testis single-cell atlases were obtained from the Human Protein Atlas and Male Health Atlas databases to determine the expression distribution of ABHD5 across different testicular cell types.Additionally,the GTEx database was utilized to visualize the expression pattern of ABHD5 in the testis,thereby enhancing the understanding of its transcriptional profile.The relationship between ABHD5 expression and age was assessed through integrated database analysis.Western blotting and immunofluorescence were performed to detect differential expressions of ABHD5 in testicular tissues of young and aged mice respectively.Results:The TCGA database indicated that the expression of ABHD5 in human testicular carcinoma tissue was significantly lower than that in normal testicular tissue which showed a negative correlation with patient survival.ABHD5 was highly ex-pressed in germ cells of the testis reveaked from Human Protein Atlas and Male Health Atlas databases.The stability of ABHD5 protein was crucial for testicular tissue,and its expression decreased with age.Furthermore,Western blot and immunofluorescence staining demonstrated that ABHD5 expression in the testicular tissue of aged mice was significantly lower than that in young mice.Conclu-sion:ABHD5 plays an important role in testicular tissue,and may be inseparable from testicular tumors and reproductive aging.How-ever,its mechanism of action remains to be further studied.
2.The Epigenetic Regulation of Decitabine Resistance in TP53-Mutated Myelodysplastic Syndromes:Integrated Analysis Based on RNA-seq and Methylomics
Lan ZHANG ; Yu-Ye REN ; Wei CHEN ; Wen-Ya HU ; Chen-Xi ZHAO ; Li-Ping SU
Journal of Experimental Hematology 2025;33(6):1681-1687
Objective:To investigate the effects of TP53 genetic status(wild-type/mutated/null)on the drug resistance of decitabine(DAC)in myelodysplastic syndromes(MDS)and identify key resistance-associated genes.Methods:Two myeloid cell lines with distinct TP53 status(M-07e:wild-type;SKM-1:mutated;)were treated with gradient DAC concentrations(0-10 μmol/L)for 0-72 h.Cell viability was detected by CCK-8 assay.RNA-Seq transcriptomics,and methylation profiling were integrated to analyze differentially expressed genes.Results:Decitabine(DAC)treatment induced time-and dose-dependent inhibition of cell viability in CCK-8 assays,with SKM-1 cells exhibiting the highest resistance(IC50=5 μmol/L vs M-07e=0.5 μmol/L,P<0.01).Transcriptomic analysis revealed 662 upregulated and 452 downregulated genes in DAC-treated M-07e cells,while SKM-1 cells showed 515 upregulated and 73 downregulated genes.By proteomic profiling,117 upregulated and 136 downregulated proteins were identified in M-07e cells,while 91 upregulated and 46 downregulated proteins were identified in SKM-1 cells following DAC exposure.Through integrated analysis of upregulated genes and proteins expression profiles,181 candidate genes were screened out,while methylation studies identified 884 hypomethylated genes with high-sensitivity loci and CpG density.Notably,31 genes overlapped between these datasets,and functional annotation indicated these drug-resistance-associated genes are primarily involved in positive regulation of cell differentiation,negative regulation of binding processes,and negative regulation of cellular component organization.Conclusion:TP53 mutations drive DAC resistance via epigenetic reprogramming.Targeting these genes may improve outcomes in TP53-mutated MDS.
3.Impact of epstein-barr virus infection on treatment response and survival in newly diagnosed multiple myeloma
Yanting MA ; Xi SU ; Yunjie ZHU ; Li YU ; Chunyan ZHANG ; Baishen PAN ; Beili WANG ; Wei GUO
Chinese Journal of Laboratory Medicine 2025;48(10):1323-1330
Objective:To explore the impact of Epstein-Barr Virus(EBV) infection on treatment response and survival in newly diagnosed multiple myeloma(MM).Methods:The clinical data of 196 patients with newly diagnosed MM admitted to Zhongshan Hospital of Fudan University from June 1st, 2019 to February 25th,2021 were analyzed retrospectively and divided into EBV-positive group (106 cases) and negative group (90 cases) according to the primary EBV DNA results in peripheral blood mononuclear cells.To analyse the distribution of EBV positive rates in each type and in each stage of the Revised International Staging System (R-ISS), and to compare EBV DNA loads in EBV-positive patients among R-ISS stages.Rank sum test, 2×2 chi-square test and independent sample t-test were used to compare laboratory findings, such as liver and kidney function, immunohistochemistry and cytogenetics, treatment efficacy and survival prognosis between the two groups.The clinical prognosis of EBV-positive patients was summarized through survival analysis and Cox regression.Results:The EBV positive rate in patients with newly diagnosed MM was 54% (106/196), with the highest rate in patients with κ light chain type (9/12).Patients with R-ISS stage Ⅲ had a significantly higher positive rate than with stage Ⅰ ( χ2=4.68, P=0.031) and stage Ⅱ ( χ2=6.04, P=0.014), but there was no significant difference in EBV DNA loads between EBV-positive MM patients by stage ( Z=3.27, P=0.195).Serum creatinine (Scr) and β 2-microglobulin (β 2-MG) levels were higher in the EBV-positive group than in the EBV-negative group ( Z=1.98, P=0.048 and Z=2.08, P=0.038), and the occurrence of t(4;14) was also higher in the EBV-positive group ( χ2=3.93, P=0.047).The proportion of complete response (CR)/stringent complete response(sCR) and very good partial response(VGPR) after completion of the fourth chemotherapy were significantly lower in the EBV-positive group than in the EBV-negative group ( χ2=12.82, P=0.001 and χ2=8.30, P=0.004), and a higher rate of progressive disease (PD) occurred in the EBV-positive group ( χ2=4.48, P=0.046).The 2-year progression-free survival (PFS) of MM patients was shorter in the EBV-positive group compared to that in the EBV-negative group ( Z=-4.50, P0.01).Cox regression analysis showed that R-ISS stage Ⅲ ( HR=5.38, 95% CI 1.28-22.56, P=0.021), failure to achieve VGPR after the fourth chemotherapy ( HR=3.02, 95% CI 1.42-6.46, P=0.004), EBV-positive ( HR=1.98, 95% CI 1.02-3.87, P=0.045), with 1q21 amplification ( HR=2.35, 95% CI 1.16-4.75, P=0.017) and 13q14 deletion ( HR=1.93, 95% CI 1.01-3.67, P=0.046) were independent risk factors for PFS in newly diagnosed MM. Conclusions:EBV infection is an independent risk factor for poor prognosis, which has important clinical implications for the outcome and prognosis of patients with newly diagnosed MM, and may become a novel clinical assessment indicator.
4.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
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Drugs, Chinese Herbal/standards*
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Quality Control
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Medicine, Chinese Traditional/standards*
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Humans
5.Longitudinal Associations between Vitamin D Status and Systemic Inflammation Markers among Early Adolescents.
Ting TANG ; Xin Hui WANG ; Xue WEN ; Min LI ; Meng Yuan YUAN ; Yong Han LI ; Xiao Qin ZHONG ; Fang Biao TAO ; Pu Yu SU ; Xi Hua YU ; Geng Fu WANG
Biomedical and Environmental Sciences 2025;38(1):94-99
6.Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults (version 2025)
Bobin MI ; Faqi CAO ; Weixian HU ; Wu ZHOU ; Chenchen YAN ; Hui LI ; Yun SUN ; Yuan XIONG ; Jinmi ZHAO ; Qikai HUA ; Xinbao WU ; Xieyuan JIANG ; Dianying ZHANG ; Zhongguo FU ; Dankai WU ; Guangyao LIU ; Guodong LIU ; Tengbo YU ; Jinhai TAN ; Xi CHEN ; Fengfei LIN ; Zhangyuan LIN ; Dongfa LIAO ; Aiguo WANG ; Shiwu DONG ; Gaoxing LUO ; Zhao XIE ; Dong SUN ; Dehao FU ; Yunfeng CHEN ; Changqing ZHANG ; Kun LIU ; Deye SONG ; Yongjun RUI ; Fei WU ; Ximing LIU ; Junwen WANG ; Meng ZHAO ; Biao CHE ; Bing HU ; Chengjian HE ; Guanglin WANG ; Xiao CHEN ; Guandong DAI ; Shiyuan FANG ; Wenchao SONG ; Ming CHEN ; Guanghua GUO ; Yongqing XU ; Lei YANG ; Wenqian ZHANG ; Kun ZHANG ; Xin TANG ; Hua CHEN ; Weiguo XU ; Shuquan GUO ; Yong LIU ; Xiaodong GUO ; Zhewei YE ; Liming XIONG ; Tian XIA ; Hongbin WU ; Qisheng ZHOU ; Mengfei LIU ; Yiqiang HU ; Yanjiu HAN ; Hang XUE ; Kangkang ZHA ; Wei CHEN ; Zhiyong HOU ; Bin YU ; Jiacan SU ; Peifu TANG ; Baoguo JIANG ; Guohui LIU
Chinese Journal of Trauma 2025;41(5):421-432
Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.
7.Comparison of small-sample multi-class machine learning models for plasma concentration prediction of valproic acid
Xi CHEN ; Shen’ao YUAN ; Hailing YUAN ; Jie ZHAO ; Peng CHEN ; Chunyan TIAN ; Yi SU ; Yunsong ZHANG ; Yu ZHANG
China Pharmacy 2025;36(11):1399-1404
OBJECTIVE To construct three-class (insufficient, normal, excessive) and two-class (insufficient, normal) models for predicting plasma concentration of valproic acid (VPA), and compare the performance of these two models, with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 (a total of 695 sets of data). In this study, predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation, and the performance of the models was evaluated using three indexes: accuracy, F1 score, and the area under the working characteristic curve of the subject (AUC). RESULTS XGBoost feature importance scores revealed that in the three-class model, the importance ranking of kidney disease and electrolyte disorders was higher. However, in the two-class model, the importance ranking of these features significantly decreased, suggesting a close association with the excessive blood concentration of VPA. In the three-class model, Random Forest method performed best, with F1 score of 0.704 0 and AUC of 0.519 3 on the test set; while in the two-class model, CatBoost method performed optimally, with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration, but its prediction and model generalization abilities are poor; the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases, but its model performance is stronger.
8.The Epigenetic Regulation of Decitabine Resistance in TP53-Mutated Myelodysplastic Syndromes:Integrated Analysis Based on RNA-seq and Methylomics
Lan ZHANG ; Yu-Ye REN ; Wei CHEN ; Wen-Ya HU ; Chen-Xi ZHAO ; Li-Ping SU
Journal of Experimental Hematology 2025;33(6):1681-1687
Objective:To investigate the effects of TP53 genetic status(wild-type/mutated/null)on the drug resistance of decitabine(DAC)in myelodysplastic syndromes(MDS)and identify key resistance-associated genes.Methods:Two myeloid cell lines with distinct TP53 status(M-07e:wild-type;SKM-1:mutated;)were treated with gradient DAC concentrations(0-10 μmol/L)for 0-72 h.Cell viability was detected by CCK-8 assay.RNA-Seq transcriptomics,and methylation profiling were integrated to analyze differentially expressed genes.Results:Decitabine(DAC)treatment induced time-and dose-dependent inhibition of cell viability in CCK-8 assays,with SKM-1 cells exhibiting the highest resistance(IC50=5 μmol/L vs M-07e=0.5 μmol/L,P<0.01).Transcriptomic analysis revealed 662 upregulated and 452 downregulated genes in DAC-treated M-07e cells,while SKM-1 cells showed 515 upregulated and 73 downregulated genes.By proteomic profiling,117 upregulated and 136 downregulated proteins were identified in M-07e cells,while 91 upregulated and 46 downregulated proteins were identified in SKM-1 cells following DAC exposure.Through integrated analysis of upregulated genes and proteins expression profiles,181 candidate genes were screened out,while methylation studies identified 884 hypomethylated genes with high-sensitivity loci and CpG density.Notably,31 genes overlapped between these datasets,and functional annotation indicated these drug-resistance-associated genes are primarily involved in positive regulation of cell differentiation,negative regulation of binding processes,and negative regulation of cellular component organization.Conclusion:TP53 mutations drive DAC resistance via epigenetic reprogramming.Targeting these genes may improve outcomes in TP53-mutated MDS.
9.Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults (version 2025)
Bobin MI ; Faqi CAO ; Weixian HU ; Wu ZHOU ; Chenchen YAN ; Hui LI ; Yun SUN ; Yuan XIONG ; Jinmi ZHAO ; Qikai HUA ; Xinbao WU ; Xieyuan JIANG ; Dianying ZHANG ; Zhongguo FU ; Dankai WU ; Guangyao LIU ; Guodong LIU ; Tengbo YU ; Jinhai TAN ; Xi CHEN ; Fengfei LIN ; Zhangyuan LIN ; Dongfa LIAO ; Aiguo WANG ; Shiwu DONG ; Gaoxing LUO ; Zhao XIE ; Dong SUN ; Dehao FU ; Yunfeng CHEN ; Changqing ZHANG ; Kun LIU ; Deye SONG ; Yongjun RUI ; Fei WU ; Ximing LIU ; Junwen WANG ; Meng ZHAO ; Biao CHE ; Bing HU ; Chengjian HE ; Guanglin WANG ; Xiao CHEN ; Guandong DAI ; Shiyuan FANG ; Wenchao SONG ; Ming CHEN ; Guanghua GUO ; Yongqing XU ; Lei YANG ; Wenqian ZHANG ; Kun ZHANG ; Xin TANG ; Hua CHEN ; Weiguo XU ; Shuquan GUO ; Yong LIU ; Xiaodong GUO ; Zhewei YE ; Liming XIONG ; Tian XIA ; Hongbin WU ; Qisheng ZHOU ; Mengfei LIU ; Yiqiang HU ; Yanjiu HAN ; Hang XUE ; Kangkang ZHA ; Wei CHEN ; Zhiyong HOU ; Bin YU ; Jiacan SU ; Peifu TANG ; Baoguo JIANG ; Guohui LIU
Chinese Journal of Trauma 2025;41(5):421-432
Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.
10.Impact of epstein-barr virus infection on treatment response and survival in newly diagnosed multiple myeloma
Yanting MA ; Xi SU ; Yunjie ZHU ; Li YU ; Chunyan ZHANG ; Baishen PAN ; Beili WANG ; Wei GUO
Chinese Journal of Laboratory Medicine 2025;48(10):1323-1330
Objective:To explore the impact of Epstein-Barr Virus(EBV) infection on treatment response and survival in newly diagnosed multiple myeloma(MM).Methods:The clinical data of 196 patients with newly diagnosed MM admitted to Zhongshan Hospital of Fudan University from June 1st, 2019 to February 25th,2021 were analyzed retrospectively and divided into EBV-positive group (106 cases) and negative group (90 cases) according to the primary EBV DNA results in peripheral blood mononuclear cells.To analyse the distribution of EBV positive rates in each type and in each stage of the Revised International Staging System (R-ISS), and to compare EBV DNA loads in EBV-positive patients among R-ISS stages.Rank sum test, 2×2 chi-square test and independent sample t-test were used to compare laboratory findings, such as liver and kidney function, immunohistochemistry and cytogenetics, treatment efficacy and survival prognosis between the two groups.The clinical prognosis of EBV-positive patients was summarized through survival analysis and Cox regression.Results:The EBV positive rate in patients with newly diagnosed MM was 54% (106/196), with the highest rate in patients with κ light chain type (9/12).Patients with R-ISS stage Ⅲ had a significantly higher positive rate than with stage Ⅰ ( χ2=4.68, P=0.031) and stage Ⅱ ( χ2=6.04, P=0.014), but there was no significant difference in EBV DNA loads between EBV-positive MM patients by stage ( Z=3.27, P=0.195).Serum creatinine (Scr) and β 2-microglobulin (β 2-MG) levels were higher in the EBV-positive group than in the EBV-negative group ( Z=1.98, P=0.048 and Z=2.08, P=0.038), and the occurrence of t(4;14) was also higher in the EBV-positive group ( χ2=3.93, P=0.047).The proportion of complete response (CR)/stringent complete response(sCR) and very good partial response(VGPR) after completion of the fourth chemotherapy were significantly lower in the EBV-positive group than in the EBV-negative group ( χ2=12.82, P=0.001 and χ2=8.30, P=0.004), and a higher rate of progressive disease (PD) occurred in the EBV-positive group ( χ2=4.48, P=0.046).The 2-year progression-free survival (PFS) of MM patients was shorter in the EBV-positive group compared to that in the EBV-negative group ( Z=-4.50, P0.01).Cox regression analysis showed that R-ISS stage Ⅲ ( HR=5.38, 95% CI 1.28-22.56, P=0.021), failure to achieve VGPR after the fourth chemotherapy ( HR=3.02, 95% CI 1.42-6.46, P=0.004), EBV-positive ( HR=1.98, 95% CI 1.02-3.87, P=0.045), with 1q21 amplification ( HR=2.35, 95% CI 1.16-4.75, P=0.017) and 13q14 deletion ( HR=1.93, 95% CI 1.01-3.67, P=0.046) were independent risk factors for PFS in newly diagnosed MM. Conclusions:EBV infection is an independent risk factor for poor prognosis, which has important clinical implications for the outcome and prognosis of patients with newly diagnosed MM, and may become a novel clinical assessment indicator.

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