1.Phenotypic distribution and population genetic frequency analysis of ABO and Rh blood group antigens among voluntary blood donors in Yantai
Hewei SONG ; Xiaojun ZHANG ; Qun XU ; Xiangzhong LIU ; Nan GUO ; Di SUN
Chinese Journal of Blood Transfusion 2026;39(1):69-75
Objective: To investigate the distribution characteristics of ABO and Rh blood group antigen phenotypes among blood donors in the Yantai, Shandong. Methods: Blood samples from 310 180 voluntary blood donors in Yantai collected from January 2019 to December 2023 were tested for ABO and Rh blood group antigens using standard serological methods. RhD-negative samples were further typed for C, c, E, and e antigens. Population genetic analysis of blood groups was performed: allele frequencies were inferred from ABO phenotypes, and Rh allele/haplotype frequencies were estimated based on the proportion of RhD-negative donors and CcEe antigen typing, followed by Hardy-Weinberg equilibrium testing. Results: The phenotypic distribution frequency of ABO blood groups was B(32.72%)>O(28.93%)>A(27.65%)>AB(10.70%). The inferred allele frequencies were r(53.74%)>q(24.78%)>p(21.48%), consistent with Hardy-Weinberg equilibrium (P>0.05). A total of 1 872 Rh-negative donors (0.603%) were identified. The most common Rh phenotypes were ccdee (59.56%) and Ccdee (30.18%). The distribution of Rh antigen phenotypes deviated significantly from Hardy-Weinberg equilibrium (χ
=37.15, P<0.001), with the cde haplotype showing the highest frequency. There was no statistically significant difference in ABO blood group distribution between RhD-positive and RhD-negative donors (P>0.05). Conclusion: The ABO blood group distribution among voluntary blood donors in Yantai is generally stable and consistent with population genetic equilibrium, whereas the Rh antigen phenotype distribution deviates from equilibrium, indicating potential underlying genetic structural differences.
2.Expression and Clinical Significance of Nucleoporin 93 in Patients with Neuroblastoma
Minting LIANG ; Yang YANG ; Xiaojun LIU ; Huiya LIANG ; Hanyi ZHANG ; Yihan SUN ; Xiuyu SHI ; Xia YANG
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(3):420-430
ObjectiveTo screen key genes associated with neuroblastoma (NB) diagnosis and prognosis using the Gene Expression Omnibus (GEO) database, and to investigate the expression and clinical significance of nucleoporin 93 (NUP93) in NB tissues. MethodsNB gene chip data (GSE73517, GSE49710, GSE19274) were retrieved from the GEO database. Differentially expressed genes (DEGs) commonly upregulated in high-risk groups were screened. The R2 database was then used to assess the prognostic value of DEGs that were commonly upregulated in the MYCN amplification group. Finally, NUP93 expression levels in the tissues from 60 NB, 25 ganglioneuroblastoma (GNB), and 26 ganglioneuroma (GN) cases were measured by immunohistochemistry . ResultsTwenty-five DEGs were identified as commonly upregulated in high-risk groups. Among these, 10 genes (SIVA1, NUP93, STIP1, LSM4, RAI14, MYOZ3, KNTC1, TNFRSF10B, TACC3 and CEP152) showed significantly higher expression in MYCN-amplified subgroups (P<0.05). Survival analysis revealed that high NUP93 expression was associated with shorter overall survival (HR = 4.0, 95% CI: 3.0,5.3, P = 1.80 × 10⁻³⁴). Immunohistochemistry results revealed that NUP93 expression in NB tissues was significantly higher than in GNB and GN tissues (P<0.001). NUP93 expression was positively correlated with high mitosis-karyorrhexis index (MKI; P=0.040), poor differentiation (P<0.001), and MYCN expression (rs = 0.793, P <0.001). ConclusionsHigh expression of NUP93 is associated with high MKI and poor differentiation, and predicts unfavorable prognosis in patients with NB, suggesting it may promote tumor progression by regulating MYCN. NUP93 has the potential to be a novel diagnostic biomarker and therapeutic target for NB.
3.Epidemiological characteristics and immunization history of pertussis cases in Yichang City 2018 - 2023
Weiwei WANG ; Xiaojun LIU ; Yi YAN ; Jing JIANG ; Qiujing YU ; Wei JIANG ; Li GUO ; Jialian YU ; Guiwen LI ; Qiwei WANG
Journal of Public Health and Preventive Medicine 2025;36(6):86-89
Objective To analyze the epidemiological characteristics and immunization history of pertussis cases in Yichang City, Hubei Province from 2018 to 2023. Methods Data on the incidence and immunization history of pertussis cases were collected in Yichang City from 2018 to 2023, and the epidemiological characteristics was analyzed and described. Results A total of 109 cases of pertussis were reported in Yichang from 2018 to 2023, and the annual average reported incidence rate was 0.45/100,000. The incidence rate reported in each year was between 0~1.58/100,000. The area with the highest annual reported incidence rate was Xiling District (1.19/100,000). There was a statistically significant difference in the incidence rate between different years (χ2=208.26, P < 0.001). The annual reported incidence rate showed a significant increasing trend (χ2 trend =125.71, P < 0.001). The ratio of male to female cases was 1.22. There was no significant difference in the annual reported incidence rates between males and females (χ2=0.85, P=0.36). Children aged 3-9 years accounted for 60.55%. Students and scattered children accounted for 45.87% and 36.70%, respectively. Before the onset of the disease, 72.48% had a history of immunization with pertussis-containing vaccine, and 27.52% had no history of immunization. The shortest interval between the last dose of pertussis-containing vaccine and the onset of the disease was 8 days, the longest was 4057 days, and the median was 1882 days. Conclusion From 2018 to 2023, the reported incidence of pertussis in Yichang City has been on the rise, with the majority of cases occurring in children and students under the age of 9. It is recommended to strengthen pertussis disease monitoring.
4.Chinese expert consensus on integrated case management by a multidisciplinary team in CAR-T cell therapy for lymphoma.
Sanfang TU ; Ping LI ; Heng MEI ; Yang LIU ; Yongxian HU ; Peng LIU ; Dehui ZOU ; Ting NIU ; Kailin XU ; Li WANG ; Jianmin YANG ; Mingfeng ZHAO ; Xiaojun HUANG ; Jianxiang WANG ; Yu HU ; Weili ZHAO ; Depei WU ; Jun MA ; Wenbin QIAN ; Weidong HAN ; Yuhua LI ; Aibin LIANG
Chinese Medical Journal 2025;138(16):1894-1896
5.Risk factors for positive post-transplantation measurable residual disease in patients with acute lymphoblastic leukemia.
Yuewen WANG ; Guomei FU ; Lanping XU ; Yu WANG ; Yifei CHENG ; Yuanyuan ZHANG ; Xiaohui ZHANG ; Yanrong LIU ; Kaiyan LIU ; Xiaojun HUANG ; Yingjun CHANG
Chinese Medical Journal 2025;138(9):1084-1093
BACKGROUND:
The level of measurable residual disease (MRD) before and after transplantation is related to inferior transplant outcomes, and post-hematopoietic stem cell transplantation measurable residual disease (post-HSCT MRD) has higher prognostic value in determining risk than pre-hematopoietic stem cell transplantation measurable residual disease (pre-HSCT MRD). However, only a few work has been devoted to the risk factors for positive post-HSCT MRD in patients with acute lymphoblastic leukemia (ALL). This study evaluated the risk factors for post-HSCT MRD positivity in patients with ALL who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT).
METHODS:
A total of 1683 ALL patients from Peking University People's Hospital between January 2009 and December 2019 were enrolled to evaluate the cumulative incidence of post-HSCT MRD. Cox proportional hazard regression models were built for time-to-event outcomes. Multivariable analysis was performed to determine independent influencing factors from the univariable analysis.
RESULTS:
Both in total patients and in T-cell ALL or B-cell ALL, pediatric or adult, human leukocyte antigen-matched sibling donor transplantation or haploidentical SCT subgroups, positive pre-HSCT MRD was a risk factor for post-HSCT MRD positivity ( P <0.001 for all). Disease status (complete remission 1 [CR1] vs . ≥CR2) was also a risk factor for post-HSCT MRD positivity in all patients and in the B cell-ALL, pediatric, or haploidentical SCT subgroups ( P = 0.027; P = 0.003; P = 0.035; P = 0.003, respectively). A risk score for post-HSCT MRD positivity was developed using the variables pre-HSCT MRD and disease status. The cumulative incidence of post-HSCT MRD positivity was 12.3%, 25.1%, and 38.8% for subjects with scores of 0, 1, and 2-3, respectively ( P <0.001). Multivariable analysis confirmed the association of the risk score with the cumulative incidence of post-HSCT MRD positivity and relapse as well as leukemia-free survival and overall survival.
CONCLUSION
Our results indicated that positive pre-MRD and disease status were two independent risk factors for post-HSCT MRD positivity in patients with ALL who underwent allo-HSCT.
Humans
;
Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology*
;
Neoplasm, Residual
;
Hematopoietic Stem Cell Transplantation/methods*
;
Male
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Female
;
Risk Factors
;
Adolescent
;
Adult
;
Child
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Child, Preschool
;
Young Adult
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Middle Aged
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Infant
;
Transplantation, Homologous
;
Proportional Hazards Models
;
Retrospective Studies
6.Preemptive immunotherapy for KMT2A rearranged acute leukemias post-allogeneic stem cell transplantation.
Jing LIU ; Shuang FAN ; Xiaohui ZHANG ; Lanping XU ; Yu WANG ; Yifei CHENG ; Chenhua YAN ; Yuhong CHEN ; Yuanyuan ZHANG ; Meng LV ; Yazhen QIN ; Xiaosu ZHAO ; Xiaojun HUANG ; Xiaodong MO
Chinese Medical Journal 2025;138(22):3034-3036
7.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
8.Targeting farnesoid X receptor as aging intervention therapy.
Lijun ZHANG ; Jing YU ; Xiaoyan GAO ; Yingxuan YAN ; Xinyi WANG ; Hang SHI ; Minglv FANG ; Ying LIU ; Young-Bum KIM ; Huanhu ZHU ; Xiaojun WU ; Cheng HUANG ; Shengjie FAN
Acta Pharmaceutica Sinica B 2025;15(3):1359-1382
Environmental toxicants have been linked to aging and age-related diseases. The emerging evidence has shown that the enhancement of detoxification gene expression is a common transcriptome marker of long-lived mice, Drosophila melanogaster, and Caenorhabditis elegans. Meanwhile, the resistance to toxicants was increased in long-lived animals. Here, we show that farnesoid X receptor (FXR) agonist obeticholic acid (OCA), a marketed drug for the treatment of cholestasis, may extend the lifespan and healthspan both in C. elegans and chemical-induced early senescent mice. Furthermore, OCA increased the resistance of worms to toxicants and activated the expression of detoxification genes in both mice and C. elegans. The longevity effects of OCA were attenuated in Fxr -/- mice and Fxr homologous nhr-8 and daf-12 mutant C. elegans. In addition, metabolome analysis revealed that OCA increased the endogenous agonist levels of the pregnane X receptor (PXR), a major nuclear receptor for detoxification regulation, in the liver of mice. Together, our findings suggest that OCA has the potential to lengthen lifespan and healthspan by activating nuclear receptor-mediated detoxification functions, thus, targeting FXR may offer to promote longevity.
9.Inhibition of WAC alleviates the chondrocyte proinflammatory secretory phenotype and cartilage degradation via H2BK120ub1 and H3K27me3 coregulation.
Peitao XU ; Guiwen YE ; Xiaojun XU ; Zhidong LIU ; Wenhui YU ; Guan ZHENG ; Zepeng SU ; Jiajie LIN ; Yunshu CHE ; Yipeng ZENG ; Zhikun LI ; Pei FENG ; Qian CAO ; Zhongyu XIE ; Yanfeng WU ; Huiyong SHEN ; Jinteng LI
Acta Pharmaceutica Sinica B 2025;15(8):4064-4077
Several types of arthritis share the common feature that the generation of inflammatory mediators leads to joint cartilage degradation. However, the shared mechanism is largely unknown. H2BK120ub1 was reportedly involved in various inflammatory diseases but its role in the shared mechanism in inflammatory joint conditions remains elusive. The present study demonstrated that levels of cartilage degradation, H2BK120ub1, and its regulator WW domain-containing adapter protein with coiled-coil (WAC) were increased in cartilage in human rheumatoid arthritis (RA) and osteoarthritis (OA) patients as well as in experimental RA and OA mice. By regulating H2BK120ub1 and H3K27me3, WAC regulated the secretion of inflammatory and cartilage-degrading factors. WAC influenced the level of H3K27me3 by regulating nuclear entry of the H3K27 demethylase KDM6B, and acted as a key factor of the crosstalk between H2BK120ub1 and H3K27me3. The cartilage-specific knockout of WAC demonstrated the ability to alleviate cartilage degradation in collagen-induced arthritis (CIA) and collagenase-induced osteoarthritis (CIOA) mice. Through molecular docking and dynamic simulation, doxercalciferol was found to inhibit WAC and the development of cartilage degradation in the CIA and CIOA models. Our study demonstrated that WAC is a key factor of cartilage degradation in arthritis, and targeting WAC by doxercalciferol could be a viable therapeutic strategy for treating cartilage destruction in several types of arthritis.
10.Fingerprint-enhanced hierarchical molecular graph neural networks for property prediction.
Shuo LIU ; Mengyun CHEN ; Xiaojun YAO ; Huanxiang LIU
Journal of Pharmaceutical Analysis 2025;15(6):101242-101242
Accurate prediction of molecular properties is crucial for selecting compounds with ideal properties and reducing the costs and risks of trials. Traditional methods based on manually crafted features and graph-based methods have shown promising results in molecular property prediction. However, traditional methods rely on expert knowledge and often fail to capture the complex structures and interactions within molecules. Similarly, graph-based methods typically overlook the chemical structure and function hidden in molecular motifs and struggle to effectively integrate global and local molecular information. To address these limitations, we propose a novel fingerprint-enhanced hierarchical graph neural network (FH-GNN) for molecular property prediction that simultaneously learns information from hierarchical molecular graphs and fingerprints. The FH-GNN captures diverse hierarchical chemical information by applying directed message-passing neural networks (D-MPNN) on a hierarchical molecular graph that integrates atomic-level, motif-level, and graph-level information along with their relationships. Additionally, we used an adaptive attention mechanism to balance the importance of hierarchical graphs and fingerprint features, creating a comprehensive molecular embedding that integrated hierarchical molecular structures with domain knowledge. Experiments on eight benchmark datasets from MoleculeNet showed that FH-GNN outperformed the baseline models in both classification and regression tasks for molecular property prediction, validating its capability to comprehensively capture molecular information. By integrating molecular structure and chemical knowledge, FH-GNN provides a powerful tool for the accurate prediction of molecular properties and aids in the discovery of potential drug candidates.


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