Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Once ischemic stroke occurs,severely insufficient blood supply causes massive neuronal apoptosis and necrosis,leading to the release of damage-associated molecular patterns(DAMPs)that exacerbate neuroinflammation and worsen brain damage.As the resident efferocytes in central nervous system,microglia possess the capability to phagocytose and eliminate ap-optotic cells by efferocytosis before necrosis occurs,thereby mit-igating the release of DAMPs and the accumulation of cellular debris.This process is crucial for neuroinflammation reduction and neurorestoration.Hence,a comprehensive understanding of the regulatory mechanism of microglial efferocytosis post-ische-mia,as well as its impact on neuroinflammation and cerebral damage,has the potential to advance diagnostic and therapeutic approaches for ischemic stroke.Here,we outline the molecular mechanisms and signaling pathways involved in microglial effero-cytosis following ischemic stroke,and summarize the research progress on drugs targeting microglial efferocytosis to enhance stroke prognosis.

Aim To investigate the involvement of mesencephalic astrocyte-derived neurotrophic factor(MANF)in rifampicin(RFP)-induced cholestatic liv-er injury.Methods We investigated the impact of MANF gene deletion on rifampicin-induced BAT ex-pression in mice by the MANF gene knockout mouse model.We investigated the influence of MANF knock-down on nuclear factor erythroid 2-related factor 2(Nrf2)in HepG2 cells by the MANF knockdown cell model.Results Compared with the wild-type(WT)mice,the mRNA and protein expression levels of bile salt export pump(BSEP)and multidrug-resistant asso-ciated protein4(MRP4)significantly increased in WT mice treated with RFP.However,compared to the WT mice treated with RFP,the mRNA and protein expres-sion levels of BSEP,Multidrug resistance protein 1(MDR1),multidrug resistance associated proteins 2/3/4(MRP2/3/4),and organic solute transport pro-teins α(OST α)were significantly reduced.In cell experiments we found that MANF knockdown weakened the expression of Nrf2 and its nuclear translocation by RFP.Conclusion MANF may regulate adaptive BAT expression by modulating Nrf2 expression,thereby pla-ying a protective role in RFP-induced liver injury.

Objective To explore the efficiency of artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures(OVCF).Methods The clinical data of 455 patients diagnosed as lumbar OVCF by MRI in our hospital were selected.The patients were divided into the training group(n=364)and the validation group(n=91),X-ray films were extracted,the image delineation,feature extraction and data analysis were carried out,and the artificial intelligence radiomics deep learning was applied to establish a diagnostic model for OVCF.After verifying the effectiveness of the model by receiver operating characteristic(ROC)curve,area under the curve(AUC),calibration curve,and decision curve analysis(DCA),the efficiencies of manual reading,model reading,and model-assisted manual reading of X-ray in the early diagnosis of OVCF were compared.Results The ROC curve,AUC and calibration curve proved that the model had good discrimination and calibration,and excellent diagnostic performance.DCA demonstrated that the model had a higher clinical net benefit.The diagnostic efficiency of the manual reading group:the accuracy rate was 0.89,the recall rate was 0.62.The diagnostic efficiency of the model reading group:the accuracy rate was 0.93,the recall rate was 0.86,the model diagnosis showed good predictive performance,which was significantly better than the manual reading group.The diagnostic efficiency of the model-assisted manual reading group:the accuracy rate was 0.92,the recall rate was 0.72,and the recall rate of the model-assisted manual reading group was higher than that of the manual reading group,but lower than that of the model reading group,indicating the superiority of the model diagnosis.Conclusion The diagnostic model established based on artificial intelligence and radiomics in this study has reached an ideal level of efficacy,with better diagnostic efficacy compared with manual reading,and can be used to assist X-ray in the early diagnosis of OVCF.

Objective To develop a clinical prediction model for predicting risk factors for prolonged hospital stay after anterior cervical discectomy and fusion(ACDF).Methods The clinical data of 914 patients underwent ACDF treatment for cervical spondylotic myelopathy(CSM)were retrospectively analyzed.According to the screening criteria,800 eligible patients were eventually included,and the patients were divided into the development cohort(n=560)and the validation cohort(n=240).LASSO regression was used to screen variables,and multivariate Logistic regression analysis was used to establish a prediction model.The prediction model was evaluated from three aspects:differentiation,calibration and clinical effectiveness.The performance of the model was evaluated by area under the curve(AUC)and Hosmer-Lemeshow test.Decision curve analysis(DCA)was used to evaluate the clinical effectiveness of the model.Results In this study,the five factors that were significantly associated with prolonged hospital stay were male,abnormal BMI,mild-to-moderate anemia,stage of surgery(morning,afternoon,evening),and alcohol consumption history.The AUC of the development cohort was 0.778(95%CI:0.740 to 0.816),with a cutoff value of 0.337,and that of the validation cohort was 0.748(95%CI:0.687 to 0.809),with a cutoff value of 0.169,indicating that the prediction model had good differentiation.At the same time,the Hosmer-Lemeshow test showed that the model had a good calibration degree,and the DCA proved that it was effective in clinical application.Conclusion The prediction model established in this study has excellent comprehensive performance,which can better predict the risk of prolonged hospital stay,and can guide clinical intervention as soon as possible,so as to minimize the postoperative hospital stay and reduce the cost of hospitalization.

Objective To explore the risk factors for surgical site infection(SSI)after transforaminal lumbar interbody fusion(TLIF)for the treatment of lumbar degenerative diseases.Methods A total of 1 000 patients who underwent TLIF for lumbar degenerative diseases in our hospital were included and divided into the infection group(n=23)and the non-infection group(n=977)according to whether the surgical incision was infected.General data,surgical and laboratory indicators of patients were collected,and potential risk factors of SSI were screened by univariate analysis and multivariate regression analysis,a nomogram model was established,and its predictive efficiency was validated by the receive operating characteristic(ROC)curve.Results The incidence of SSI in patients after TLIF was 2.3％.The results of univariate analysis showed that age,operative time,intraoperative blood loss,preoperative C-reactive protein(CRP),smoking,and diabetes mellitus were the significant risk factors for the occurrence of SSI.Multivariate regression analysis showed that older age,longer operation time,more intraoperative blood loss,smoking and diabetes mellitus were the independent risk factors for postoperative SSI.ROC curve showed that the nomogram model established in this study has good predictive efficiency.Conclusion Older age,longer operation time,more intraoperative blood loss,smoking,and diabetes mellitus were independent risk factors for postoperative SSI.For patients with these high risk factors,corresponding intervention measures should be taken before operation to reduce the incidence of SSI.

The nasal swab samples of swine influenza(SI)suspected pigs were collected and tested for H3 subtype swine influenza virus(SIV)positive by RT-qPCR.The positive samples were inoc-ulated into SPF chicken embryos for virus isolation.The full genome sequencing and sequence anal-ysis of the isolated H3N2 subtype SIV were conducted,and its pathogenicity was studied.The re-sults showed that a strain of SIV was successfully isolated and identified as H3N2 subtype by RT-PCR,named A/Swine/Yunnan/KM/06/2023(H3N2).The BLSAT results showed that the eight segments of SIV H3N2 KM had the highest homology with eight different strains of swine influ-enza or human influenza viruses,reaching 95.41％-97.49％.The HA and NA segments were de-rived from H3N2 subtype SIV,the NP segment was derived from H1N1 subtype human influenza virus,the M segment was derived from H1N2 subtype SIV,and all other segments were derived from H1N1 subtype SIV.The key receptor sites(190D,223V,226I,228S)of HA protein remained unchanged.The pathogenicity experiment results showed that infected piglets exhibited symptoms such as fever,sneezing,runny nose,the virus could be detoxified to the outside through the nasal cavity,and the lungs had different degrees of lesion.Immunohistochemistry(IHC)showed that the virus could replicate in the lungs.In conclusion,a strain of H3N2 subtype SIV was successfully iso-lated,and the genetic evolution,molecular characteristics and pathogenicity of the virus were stud-ied.It revealed that H3N2 subtype SIV is constantly evolving and had pathogenicity to piglets,pro-viding a reference for monitoring and preventing SIV epidemics in China,and provided a candidate strain for SI vaccine development.

Allyl isothiocyanate (AITC) is a natural product commonly used in food preservation and pharmaceutical applications. Toxoplasmosis, caused by the protozoan pathogen Toxoplasma gondii, is prevalent globally while the impact of AITC on toxoplasmosis is unclear. We explored the effect of AITC on acute toxoplasmosis. We infected C57BL/6 mice with T. gondii type I RH strain following AITC administration. On the 4th day after infection, which corresponds to the initial stage of infection, we collected serum for the determination of inflammatory cytokine levels. The mice serum of the AITC-administered group contained significantly lower levels of granulocyte colony-stimulating factor, interferon-gamma, interleukin (IL)-23 subunit p19, IL-4, IL-6, and monocyte chemoattractant protein-1. The lifespan of the mice in the AITC-administered group was significantly reduced. In vitro experiments showed that AITC promoted the proliferation of intracellular T. gondii accompanied by the inhibition of IL-4, IL-1β, and IL-6 production in RAW264.7 macrophages. Our results showed that AITC facilitated T. gondii infection in the early stage by inhibiting the production of several inflammatory cytokines.

Allyl isothiocyanate (AITC) is a natural product commonly used in food preservation and pharmaceutical applications. Toxoplasmosis, caused by the protozoan pathogen Toxoplasma gondii, is prevalent globally while the impact of AITC on toxoplasmosis is unclear. We explored the effect of AITC on acute toxoplasmosis. We infected C57BL/6 mice with T. gondii type I RH strain following AITC administration. On the 4th day after infection, which corresponds to the initial stage of infection, we collected serum for the determination of inflammatory cytokine levels. The mice serum of the AITC-administered group contained significantly lower levels of granulocyte colony-stimulating factor, interferon-gamma, interleukin (IL)-23 subunit p19, IL-4, IL-6, and monocyte chemoattractant protein-1. The lifespan of the mice in the AITC-administered group was significantly reduced. In vitro experiments showed that AITC promoted the proliferation of intracellular T. gondii accompanied by the inhibition of IL-4, IL-1β, and IL-6 production in RAW264.7 macrophages. Our results showed that AITC facilitated T. gondii infection in the early stage by inhibiting the production of several inflammatory cytokines.

Allyl isothiocyanate (AITC) is a natural product commonly used in food preservation and pharmaceutical applications. Toxoplasmosis, caused by the protozoan pathogen Toxoplasma gondii, is prevalent globally while the impact of AITC on toxoplasmosis is unclear. We explored the effect of AITC on acute toxoplasmosis. We infected C57BL/6 mice with T. gondii type I RH strain following AITC administration. On the 4th day after infection, which corresponds to the initial stage of infection, we collected serum for the determination of inflammatory cytokine levels. The mice serum of the AITC-administered group contained significantly lower levels of granulocyte colony-stimulating factor, interferon-gamma, interleukin (IL)-23 subunit p19, IL-4, IL-6, and monocyte chemoattractant protein-1. The lifespan of the mice in the AITC-administered group was significantly reduced. In vitro experiments showed that AITC promoted the proliferation of intracellular T. gondii accompanied by the inhibition of IL-4, IL-1β, and IL-6 production in RAW264.7 macrophages. Our results showed that AITC facilitated T. gondii infection in the early stage by inhibiting the production of several inflammatory cytokines.