Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Aim To investigate the effect of safflower yellow (SY) on learning and memory ability of APP/ PS1 mice at different disease stages, and to explore the mechanism of SY anti- Alzheimer's disease by using 3-,6- and 9-month-old APP/PS 1 transgenic mice as experimental animal models. Methods Behavioral experiments were conducted to observe the effects of SY on learning and memory of APP/PS1 mice of different months. ELISA was used to detect the effect of SY on the expression of inflammatory factors in cortex of mice of different months. Western blot was used to detect the microglia activation marker protein, and its mechanism of action was further analyzed. Results SY could enhance the learning and memory ability of mice aged 3, 6 and 9 months, reduce the content of IL-6 and increase the content of TGF-β1 in brain tissue, up-regulate the expression levels of arginase-1 (arg-1) and triggering receptor expressed on myeloid cells 2 (tREM2) in brain tissue of mice of different months, and down-regulate the expression levels of inducible nitric oxide synthase (iNOS), Toll-like receptors 4 (tlr4) and nuclear factor-kappa B (nf-KB). Conclusions Compared with 3- and 9-month-old mice, SY is the most effective in improving learning memory in 6-month-old APP/PS1 mice. SY inhibits TLR4/NF-KB pathway activation by inducing TREM2 expression in brain tissue of APP/PS 1 transgenic mice, promotes microglia phenotype shift to anti-inflammatory phenotype, reduces chronic neuroinflammatory response, and improves learning memory in APP/PS1 mice at all months of age.

Objective To evaluate the characteristics of different antigen-specific T cell immune responses to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)after inoculation with 2 doses of SARS-CoV-2 inactivated vaccine for 12 months.Methods Fifteen healthy adults were enrolled in this study and blood samples collected at 12 months after receiving two doses of SARS-CoV-2 inactivated vaccine.The level and phenotypic characteristics of SARS-CoV-2 antigen-specific T lymphocytes were detected by activation-induced markers(AIM)based on polychromatic flow cytometry.Results After 12 months of inoculation with 2 doses of SARS-CoV-2 inactivated vaccine,more than 90%of adults had detectable Spike and Non-spike antigen-specific CD4+ T cells immune responses(Spike:14/15,P=0.0001;Non-spike:15/15,P<0.0001).80%of adults had detectable Spike and Non-spike antigen-specific CD8+ T cells immune responses(Spike:12/15,P=0.0463;Non-spike:12/15,P=0.0806).Antigen-specific CD4+ T cells induced by SARS-CoV-2 inactivated vaccination after 12 months were composed of predominantly central memory(CM)and effector memory 1(EM1)cells.On the other hand,in terms of helper subsets,antigen-specific CD4+ T cells mainly showed T helper 1/17(Th1/17)and T helper 2(Th2)phenotypes.Conclusions SARS-CoV-2 inactivated vaccination generates durable and extensive antigen-specific CD4+ T cell memory responses,which may be the key factor for the low proportion of severe coronavirus disease 2019(COVID-19)infection in China.

Objective To explore the clinical characteristics and treatment scheme of patients with spinal infection caused by Prevotella intermedia(P.intermedia).Methods Clinical diagnosis and treatment processes of a patient with spinal infection caused by P.intermedia admitted to the spinal surgery department of a hospital were summa-rized,and relevant literature was retrieved from database for reviewing.Results The patient,a 50 year old male,was admitted to the hospital due to"lumbago pain complicated with pain in double lower extremities for 2 months".The lesion tissue was taken for metagenomic next-generation sequencing(mNGS)detection,which detected P.in-termedia,and the patient was diagnosed with P.intermedia spondylitis.After treatments with open lesion clea-rance,tube rinsing+autologous bone transplantation fusion internal fixation,intravenous drip of ceftriaxone sodium and metronidazole,as well as metronidazole rinsing,infection was under control.A total of 16 available papers were retrieved,together with this case,a total of 17 patients were included,with 7 males and 10 females.The main risk factors were diabetes and history of corticosteroid use(35.3％).The most common invasion sites were lumbar ver-tebra(n=12)and thoracic vertebra(n=6).13 cases were positive for pathogen culture,3 cases were positive for molecular detection,and 1 case was positive for staining microscopy.17 patients received anti-anaerobic bacteria treatment,with 14 cases receiving combined surgical treatment.One case died,with a mortality of 5.9％;5 cases had partial neurological impairment,with a disability rate of 29.4％.The survival rate of patients who received treatment of anti-anaerobic bacteria combined with surgery was 92.8％,3 patients only with anti-anaerobic bacteria treatment but without surgery were all cured.Conclusion P.intermedia is an opportunistic pathogeanic bacteria which often causes infection in immunocomprised individuals and is prone to be misdiagnosed.It is recommended to perform mNGS detection to identify the pathogen as early as possible and seize the opportunity for treatment to reduce mortality.

Objective:To investigate the effect of prone position on the prognosis of patients with severe pneumonia in intensive care unit (ICU).Methods:A retrospective cohort study was conducted. The patients with severe pneumonia admitted to the ICU of Qingdao Municipal Hospital from May 2022 to August 2023 were enrolled. The general information, etiology, underlying diseases, vital signs and laboratory indicators at ICU admission, clinical treatment and prognosis during ICU hospitalization were collected. The above clinical data of patients with different prognosis were compared. Multifactorial Logistic regression analysis was used to screen the related factors affecting survival during ICU in patients with severe pneumonia. The change in oxygenation index (PaO 2/FiO 2) of patients with severe pneumonia were observed at 1 hour before the first prone position, 1 hour after the first prone position, and 1 hour after the end of the first prone position. The effect of prone position on oxygenation in patients with severe pneumonia was analyzed. Spearman correlation analysis was used to investigate the correlation between the duration to first prone position and the change in the PaO 2/FiO 2 before and after prone position in patients with severe pneumonia. Results:Finally, a total of 144 patients with severe pneumonia were enrolled, 45 survived and 99 died during ICU hospitalization, with a mortality of 68.8%. Compared with the survival group, the patients in the death group were older [years old: 81.00 (70.75, 86.00) vs. 71.00 (60.50, 81.50), P < 0.01], the proportion of pre-existing lung disease, heart rate (HR), respiratory rate (RR), blood lactic acid (Lac) and the ratio of continuous renal replacement therapy (CRRT) were higher [ratio of pre-existing lung disease: 23.2% (23/99) vs. 8.9% (4/45), HR (bpm): 99.61±22.47 vs. 91.49±18.76, RR (times/min): 22.50 (19.75, 29.25) vs. 20.00 (17.50, 24.50), Lac (mmol/L): 2.00 (1.55, 3.25) vs. 1.60 (1.20, 1.95), CRRT ratio: 25.3% (25/99) vs. 6.7% (3/45), all P < 0.05], and the proportion of prone position was lower [41.4% (41/99) vs. 68.9% (31/45), P < 0.01]. Multifactorial Logistic regression analysis showed that age [odds ratio ( OR) = 0.946, 95% confidence interval (95% CI) was 0.912-0.980, P = 0.002] and Lac ( OR = 0.563, 95% CI was 0.340-0.930, P = 0.025) were negatively correlated with survival during ICU hospitalization in severe pneumonia patients, while prone position was positively correlated with survival ( OR = 2.551, 95% CI was 1.067-6.095, P = 0.035), indicating that prone position was beneficial for improving ICU prognosis in severe pneumonia patients. The results of PaO 2/FiO 2 at different time points in prone position showed that PaO 2/FiO 2 at 1 hour of the first prone position in the patients with severe pneumonia was significantly higher than that at 1 hour before the first prone position [mmHg (1 mmHg ≈ 0.133 kPa): 146.69 (113.92, 257.25) vs. 111.75 (70.15, 212.20), P < 0.01], indicating that the prone position had a relevant effect on the improvement of oxygenation in patients. Spearman correlation analysis showed that the duration of the first prone position in patients with severe pneumonia was significantly and positively correlated with the improvement of oxygenation at 1 hour of the first prone position ( r = 0.565, P < 0.001). Conclusions:The prone position is a therapeutic measure that can independently influence the prognosis of patients with severe pneumonia during ICU hospitalization. The prone position effectively improves oxygenation in patients with severe pneumonia and the first change in oxygenation in patients is related to the duration of the prone position.

Objective To describe the outcomes of extracorporeal membrane oxygenation (ECMO) for patients after aortic surgery and to summarize the experience. Methods The clinical data of patients who received ECMO support after aortic surgery in Fuwai Hospital from 2009 to 2020 were retrospectively analyzed. The patients who received an aortic dissection surgery were allocated into a dissection group, and the other patients were allocated into a non-dissection group. The in-hospital and follow-up survival rates were compared between the two groups, and the causes of death were analyzed. Results A total of 22 patients were enrolled, including 17 patients in the dissection group [13 males and 4 females, with a median age of 54 (46, 61) years] and 5 patients in the non-dissection group [3 males and 2 females, with a median age of 51 (41, 65) years]. There was no statistical difference in the age and gender between the two groups (P>0.05). The in-hospital survival rate (11.8% vs. 100.0%, P=0.001) and follow-up survival rate (11.8% vs. 80.0%, P=0.009) of the patients in the dissection group were significantly lower than those in the non-dissection group. The causes of death in the dissection group included massive bleeding and disseminated intravascular coagulation (3 patients), ventricular thrombosis (1 patient), irreversible brain injury (2 patients), visceral malperfusion syndrome (4 patients) and irreversible heart failure (5 patients). Conclusion ECMO after aortic dissection surgery is associated with high mortality, which is related to the pathological features of aortic dissection and severely disrupted coagulation system after the surgery. For these patients, strict indication selection and optimal management strategy are important.

Cardiovascular and cerebrovascular diseases, usually result from atherosclerosis, has the highest mortality rate globally. Lipid metabolism disorder is the main cause of atherosclerotic cardiovascular and cerebrovascular diseases, which not only lead to acute diseases such as myocardial infarction, stroke, acute pancreatitis, but also chronic kidney disease. In recent years, the advancement of gene therapy technologies has provided novel means for lipid metabolism study, and has also made it possible to cure patients with congenital lipid metabolism abnormalities. Adeno-associatd virus has a wide host range, high safety, low immunogenicity, and especially the ability of long-term stable expression in vivo, making it the preferred delivery tool for gene therapy of monogenic genetic diseases. Alipogene triprivec, also known as Glybera, was approved by the European Medicines Agency in 2012. It is the first gene therapy drug that uses recombinant AAV1 vector to directly deliver a highly active LPL protein S447X mutant to muscle cells for the treatment of patients with hereditary LPL deficiency. To enhance the targeted transduction efficiency of AAV carriers, recombinantAAV8.TBG.hLDLR utilizes the tissue tropsim of AAV8 to liver, meanwhile utilizes a liver specific thyroxine binding globulin promoter to control gene transcription, thereby achieving liver cell specific high expressionof human low-density lipoprotein receptors (LDLR). In patients with familial hypercholesterolemia,AAV8.TBG.hLDLR treatment effectively lower the level of plasma LDL for a long time, thus preventing the occurrence of atherosclerosis.Proprotein convert subunit kexin 9 (PCSK9) is secreted by liver cells. PCSK9 binds and transports LDLR to lysosomes for degradation, preventing the circulation and regeneration of LDLR, leading to accelerated degradation of LDLR and finally resulting in the accumulation of low-density lipoprotein cholesterol in plasma. Using AAV to deliver Cas9 of Staphylococcus aureus and gRNA targeting the Pcsk9 gene can knock out Pcsk9 in mouse liver, leading to a long-term significant decrease in plasma cholesterol levels in mice. Hepatocyte specific angiopoietin related protein 3 (Angptl3) is an endogenous inhibitor of LPL. Using the AAV9 mediated AncBE4max system and the dCas9 mediated single base gene editing system to introduce early termination codons, the knockout of Angptal3 in liver cells was achieved with an average knockout efficiency of 63.3%. After 2-4 weeks of administration in mice, the Angptl3 protein was completely undetectable in the peripheral blood, and serum triglycerides and total cholesterol decreased by 58% and 61%, respectively. Ring finger containing protein 130 (RNF130) is an E3 ubiquitin ligase. Research has shown that overexpression of RNF130 using AAV2/8 leads to ubiquitination degradation and redistribution of LDLR on the cell membrane, significantly reducing LDLR expression on liver cells and increasing plasma LDLC levels, while knocking out Rnf130 gene using the AAV-CRISPR system results in the opposite effect. This AAV mediated RNF130 function study proves that RNF130 is a posttranslational regulatory protein of LDLR and plays an important role in the regulation of serum LDLC. As mentioned above, recently, various lipid-lowering gene therapy drugs carried by different serotypes of adeno-associated virus have been applied in clinic or are undergoing clinical trials, and adeno-associated virus has emerging to be an important tool for lipid metabolism research.This article reviews the new progress of adeno-associated virus vectors in lipid metabolism study and lipid-lowering gene therapy.

Lower-cost genotyping technology has promoted the generation of large genetic datasets with the evolving next-generation sequencing technology. The emergence of genome-wide association studies (GWAS) has facilitated researchers’ understanding of common complex diseases. GWAS refers to finding the sequence variations present in the human genome and screening out disease-related single nucleotide polymorphisms (SNPs). These SNPs are considered as the basis for assessing the stability of complex diseases. However, a single variation is not sufficient to assess an individual’s risk of disease. Polygenic risk score (PRS) is an emerging genetic data analysis method for quantitatively estimating an individual’s genetic risk for complex diseases by comprehensively considering multiple genetic variation sites. A single-value estimate of an individual’s genetic risk for a certain phenotype can be calculated as the cumulative impact of multiple genetic variants by building a PRS model. The finally expected risk score is weighted by the strength and direction of association of each SNP with the phenotype based on the number of alleles carried by each SNP. With the continuous development of various PRS calculation methods and the constant accumulation of genomic data, PRS has received widespread attention in the field of genetics. So far, quite a few studies at home and abroad have shown that PRS is valuable in risk prediction of different types of human traits or complex diseases, and its effectiveness has been further verified in clinical applications. At present, many studies have established PRS models based on GWAS summary statistics to quantify the genetic risk of susceptibility loci and clinical characteristics on diseases such as lung cancer, breast cancer, coronary heart disease, diabetes and Alzheimer’s disease. The disease-susceptible populations can be recognized through comparing the relative risk and absolute risk of the disease in different risk groups according to the population risk stratification results. Additionally, individual-level genotype data and omics data can also be used as data sources for PRS analysis research, especially the latter can dynamically reflect the short-term or long-term effects of environmental factors on human gene expression, and has potential application value in building early warning models to assess health risks. Since the calculation of PRS involves a large amount of genomic data analysis, there are big differences in the methods for data selection, model building and validation. Different PRS construction methods and software have different performances in disease risk prediction, and even the performance of same algorithm varies across diseases. It is worth noting that the PRS model often needs to be re-evaluated and verified for different groups of people, because PRS is affected by race and region. This review combines currently published PRS-related research and algorithms to describe the basic principles of PRS, compares their construction and verification methods, and discusses their applications and prospects. As a powerful genetic risk assessment tool, PRS has great potential in analyzing the genetic code of complex diseases and achieving precise diagnosis and personalized treatment.