1.Introduction and enlightenment of the Recommendations and Expert Consensus for Plasma and Platelet Transfusion Strategies in Critically Ill Children Following Severe Trauma, Traumatic Brain Injury, and/or Intracranial Hemorrhage: From the Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding
Zhenzhen JIANG ; Rong GUI ; Rong HUANG ; Junhua ZHANG ; Jiaohui ZENG ; Hao TANG ; Zhi LIN ; Dan WAN ; Mingyi ZHAO ; Minghua YANG ; Lan GU ; Haiting LIU
Chinese Journal of Blood Transfusion 2026;39(2):285-293
Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.
2.Dual Targeting of TBK1 and JAK-STAT1 Pathways by (-)-epigallocatechin-3-gallate Suppresses Type I Interferon-driven Inflammation
Liang LI ; Qi-Huan SHENG ; Huan LIU ; Wen-Hao YANG ; Jia-Lin SHI ; Ying-Jie SUN ; Rui JING ; Wei-Hua MAI ; Zhi-Min LI ; Xiao-Li XIE
Progress in Biochemistry and Biophysics 2026;53(7):1969-1983
ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.
3.Assessing The Contribution of Non-crossover (NCO) to Genetic Diversity From a Complete Recombination Map
Zhi-Hao DU ; Jing CANG ; Guo-Qing LIU
Progress in Biochemistry and Biophysics 2026;53(10):2835-2840
Meiotic recombination is a core molecular event that generates genetic diversity in sexually reproducing organisms, and is of great significance for both genome evolution and proper chromosome segregation. Meiotic recombination occurs in two forms: crossover (CO) and non-crossover (NCO). Although NCO events are far more abundant than CO events, they have been difficult to detect. Consequently, previous research has largely focused on CO, leaving the characteristics and functional roles of NCO poorly understood. A recent study published in Nature used large-scale family-based whole-genome sequencing data to construct a high-resolution recombination map. This map revealed the mutational features induced by NCO—the dominant form of recombination—along with their sex-specific differences, and quantified, for the first time, the contribution of NCOs to de novo mutations and age-related effects, representing an important milestone in the field of meiotic recombination. Specifically, compared with paternal NCOs, maternal NCOs are fewer in number but span longer regions; they accumulate continuously with increasing maternal age and occur largely outside programmed recombination hotspots. NCOs also represent a major source of de novo mutations, with approximately 11% of maternal de novo mutations being attributable to NCOs. This study not only provides a high-resolution map of human meiotic recombination as a resource for future research, but also offers, for the first time, a genome‑wide perspective on the contribution of meiotic NCO recombination to genetic diversity.
4.Cancer-associated fibroblasts mediate migration of myeloid-derived suppressor cells in pancreatic ductal adenocarcinoma through SDF-1/CXCR4 pathway
Bingbing ZHANG ; Hao HU ; Yuchuan SHI ; Xuefei LIU ; Zhi ZHU ; Jing ZHANG
Academic Journal of Naval Medical University 2025;46(7):838-846
Objective To explore the mechanism by which cancer-associated fibroblasts(CAFs)regulate CD13-high expression neutrophil-like myeloid-derived suppressor cell(CD13hi-nMDSC)migration in pancreatic ductal adenocarcinoma(PDAC),so as to provide potential molecular targets and experimental evidences for immunotherapy in patients.Methods CAFs were isolated and purified from pancreatic cancer tissues of 5 PDAC patients.The phenotype and purity of CAFs were identified by immunofluorescence and flow cytometry.The expression of related factors in CAF was detected by quantitative polymerase chain reaction(qPCR)and enzyme-linked immunosorbent assay(ELISA).CAF conditioned medium and myeloid-derived suppressor cell(MDSC)migration system were constructed by Transwell to observe the migration of MDSCs and to study the specific mechanisms by which the aforementioned cytokines participate in regulating the migration of MDSCs.Results The isolated primary CAFs expressed activation biomarkers fibroblast activation protein(FAP)and α-smooth muscle actin(α-SMA),while the human foreskin fibroblasts(HFFs)of control cells did not express FAP and α-SMA.qPCR results showed that the mRNA expression levels of interleukin 6(IL-6),monocyte chemotactic protein 1(MCP-1),and stromal cell-derived factor 1(SDF-1)in CAFs were higher than those in HFFs(all P<0.01).The contents of IL-6,MCP-1,and SDF-1 in the CAF culture supernatant were significantly higher than those in the HFF culture supernatant(all P<0.01),and the secretion content increased with the prolongation of culture time.Compared with HFF conditioned medium and regular medium(RPMI 1640),CAF conditioned medium could recruit more total MDSCs and CD13hi-nMDSCs(all P<0.01).The addition of SDF-1 recombinant protein alone in the culture system could induce the migration of total MDSCs and CD13hi-nMDSCs,and the addition of SDF-1 neutralizing antibodies or C-X-C motif chemokine receptor 4(CXCR4)blocking antibodies could significantly reduce the migration of CD13hi-nMDSCs induced by CAF conditioned medium(all P<0.01).Although MCP-1 alone could also induce the migration of total MDSCs and CD13hi-nMDSCs,the number of CD13hi-nMDSCs migrating was significantly less than that of the SDF-1 experimental group.The IL-6 recombinant protein did not induce the migration of total MDSCs or CD13hi-nMDSCs.Conclusion CAFs can mediate the migration of total MDSCs and CD13hi-nMDSCs in PDAC through SDF-1/CXCR4 pathway.
5.Fluorescence Method for Determination of Metolazone and Valsartan in Human Serum and Urine:A Comparison from Zero-order to Second-order Calibration Method
Zi-Wei DING ; Hai-Long WU ; Xiao-Zhi WANG ; Tong WANG ; Hao-Ran LIU
Chinese Journal of Analytical Chemistry 2025;53(2):224-234
A second-order calibration method combined with excitation-emission matrix(EEM)fluorescence spectroscopy was presented for simultaneous quantitative analysis of two anti-hypertensive drugs,metolazone(MET)and valsartan(VAL),in human serum and urine,and the quantitative results were compared with the results obtained by zero-and first-order calibration methods.The results indicated that the methods based on zero-and first-order calibration were inadequate for accurately quantifying the components of interest in cases where severe spectral overlap and unknown interferences coexisted.However,it was possible to obtain satisfactory results with the second-order calibration method based on alternating normalization-weighted error(ANWE)algorithm because of its strong"mathematical separation",even when the fluorescence spectra of the target analytes and unknown interferents considerably overlapped.Correlation coefficients for both analytes were greater than 0.99,with mean recoveries of 104.9%±5.7%and 107.8%±9.2%for MET and VAL in human serum,and 103.7%±8.9%and 94.7%±3.8%in human urine,respectively.In addition,the sensitivity,selectivity,limit of detection,limit of quantification,repeatability,and reproducibility of the proposed second-order calibration method were thoroughly examined.All results indicated that the established method was capable of achieving simultaneous and accurate quantification of MET and VAL in human body fluids,which was expected to be applied to analysis of both drugs in clinical settings.
6.An Electronic Microbial Growth Analyzer-based Method for Rapidly Screening Viable Salmonella in Food
Ruo-Han LIANG ; Xiao-Dan PU ; Feng LU ; Xue-Ting ZHU ; Yuan-Yuan ZHANG ; Xiao-Yang WANG ; Qian-Qian YANG ; Hao LI ; Xu-Zhi ZHANG ; Chen-Zhong LI ; Shan LIU
Chinese Journal of Analytical Chemistry 2025;53(10):1694-1704
Foodborne illnesses caused by Salmonella pose significant threats to worldwide public health safety.In this study,a rapid method for screening viable Salmonella in oyster sauce and milk was developed by utilizing an electronic microbial growth analyzer(EMGA).Target food samples were diluted 10-fold with RVS broth and loaded into test tubes.Test tubes were positioned in the EMGA to determine the bacterial growth curves and the time required to reach the maximum growth rate(Tmgr).Using Salmonella typhimurium(S.typhimurium)asan model species,there was linear relationship between the logarithmic value of viable bacterial concentration(lgC)and Tmgr over the range of 5×101-5×106 CFU/mL,with a detection limit of 10 CFU/mL.For oyster sauce,the regression equation was Tmgr(min)=-80.775lg[C/(CFU/mL)]+754.96(R2=0.9907),and the recovery rates of S.typhimurium ranged from 95.2%to 119.8%,with relative standard deviations(RSD)ranging from 3.5%to 16.3%.For milk,the regression equation was Tmgr(min)=-71.922 lg[C/(CFU/mL)]+618.65(R2=0.9985),with recovery rates ranging from 98.4%to 110.6%and RSD ranging from 6.4%to 12.8%.The EMGA method required only one portable instrument,and involving only three manual steps,i.e.,dilution,transfer,and insertion.When S.typhimurium contamination reached 106 CFU/mL,the total time consumption,from the unwrapping of samples to the readout of bacterial concentration,was no more than 7 h.When applied to detection of actual oyster sauce and milk samples,the new method demonstrated strong consistency with plate counting results in positive detection rates.This method was superior to the plate counting method,which was generally considered as a gold standard,in terms of accuracy,precision,simplicity and efficiency,representing a promising alternative for the on-site screening and quantification of viable Salmonella in oyster sauce and milk products.
7.Functional Analysis of the Promoter of the deSUMOylation Enzyme senp8 and Its Relationship with Lipid Metabolism in Yellow Catfish(Pelteobagrus fulvidraco)
Fu-Xuan DUAN ; Zhi-Wei HAO ; Tao LIU ; Chang-Chun SONG ; Tian-Hua ZHANG ; Chong-Chao ZHONG ; Xiao-Ying TAN
Chinese Journal of Biochemistry and Molecular Biology 2025;41(4):607-616
To investigate the transcriptionally regulatory mechanism of the senp8 promoter in yellow cat-fish(Pelteobagrus fulvidraco);this study used P.fulvidraco as the research subject.Dual-luciferase re-porter assay and electrophoretic mobility shift assay were employed to analyze the functional activity of the promoter;coupled with in vivo experiments.The results indicated that the 2 045 bp senp8 promoter se-quence contained key transcription factor binding sites such as SP1;TATA-Box;CCAAT-Box;SREBP1;PPARα;and PPARγ.The binding sites of SREBP1(-901/-910 bp);PPARα(-1 291/-1 308 bp);and PPARγ(-1 292/-1 306 bp)in the senp8 promoter positively regulate its activity;and oleic acid or palmitic acid promote this binding.Furthermore;high-fat feeding promoted the expression of the senp8 gene and its protein in the liver of P.fulvidraco;oleic acid or palmitic acid treatment significantly en-hanced the activity of the senp8 promoter;and this enhancement could be achieved through the regulatory effects of SREBP1;PPARα;and PPARγ response elements.Additionally;high-fat feeding influenced the mRNA and protein expression levels of genes related to deSUMOylation modification in the liver of P.fulvidraco.This study provides new insights into the relationship between deSUMOylation modification and the regulation of lipid metabolism in the vertebrates.
8.Construction of CD8+T cell-associated Risk Model in Hepatocellular Carcinoma Based on Bulk and Single-cell RNA-seq Data
Xin-Tong ZHANG ; Jian-Jun ZHU ; Jin WU ; Hao WU ; Fan LU ; Wen-Tao ZHANG ; Jing-Jia CHANG ; Ting TANG ; Zhi-Gao OU ; Feng-Feng JIA ; Li LI ; Peng-Fei YU ; Ming LIU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(10):1511-1528
Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P<0.0001)and lower CD8+T cells infiltration(P<0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P<0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.
9.Predictive model for intra-abdominal pressure in critically ill patients based on multiple regression and variational auto-encoders
Yi ZHANG ; Zhi-qin ZHU ; Wen-lin LI ; Dong-chu ZHAO ; Chang LIU ; Zhi-wei FAN ; Zhen WANG ; Lian-yang ZHANG ; Hao TANG
Chinese Medical Equipment Journal 2025;46(11):10-17
Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.
10.Bone Marrow Microenvironment and Targeted Therapies for Multiple Myeloma
Chinese Journal of Biochemistry and Molecular Biology 2025;41(8):1085-1095
Multiple myeloma(MM)is a hematologic malignancy characterized by clonal proliferation of plasma cells within the bone marrow,with pathological features including abnormal secretion of mono-clonal immunoglobulins,osteolytic bone disease,and multi-organ dysfunction.Despite significant ad-vancements in therapeutic approaches that have markedly extended patient survival,primary drug resist-ance and relapse remain major obstacles to clinical cure.The pathogenesis and progression of MM are in-tricately regulated by the bone marrow microenvironment(BMME),a dynamic network composed of di-verse cellular and non-cellular components.The BMME not only supports the survival and proliferation of MM cells but also plays a pivotal role in disease progression by modulating bone metabolic homeostasis,mediating immune escape,and promoting drug resistance.In recent years,groundbreaking therapeutic strategies targeting the BMME have emerged,including immunomodulatory drugs,bispecific antibodies,CAR T-cell therapies,and microenvironment-modulating agents.These approaches have significantly im-proved objective response rates and survival outcomes in relapsed/refractory MM by disrupting cytokine signaling,reprogramming the immunosuppressive microenvironment,or inhibiting tumor-stromal interac-tions.However,challenges such as drug resistance,treatment-related toxicity,and tumor heterogeneity persist in clinical practice.This review systematically delineates the roles of BMME components in MM pathogenesis,analyzes the molecular mechanisms underlying MM cell-BMME interactions,and explores innovative strategies to enhance therapeutic efficacy and prognosis through targeted modulation of the BMME.These insights provide a foundation for developing novel therapeutic paradigms aimed at overco-ming current limitations in MM treatment.

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