Aortic dissection is a life-threatening cardiovascular disease with devastating complications and high mortality. It requires rapid and accurate diagnosis and a focus on prognosis. Many laboratory tests are routinely performed in patients with aortic dissection including D-dimer, brain natriuretic peptide, cardiac troponin I, C-reactive protein, and procalcitonin. D-dimer shows vital performance in the diagnosis of aortic dissection, and brain natriuretic peptide, cardiac troponin I, C-reactive protein, and procalcitonin exhibits important value in risk stratification and prognostic effect in aortic dissection patients. Our review summarized the clinical utility of these laboratory tests in patients with aortic dissection, aiming to provide advanced and comprehensive evidence for clinicians to better understand these laboratory tests and help their clinical practice.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Objective To investigate the role and primary mechanism of a novel fusion gene RELCH-RET in driving the malignant transformation of normal human bronchial epithelial(HBE)cells.Methods Based on retrospective clinical data from 456 non-small cell lung cancer(NSCLC)patients admitted in the Second Affiliated Hospital of Army Medical University from January 2019 to June 2022,a fusion gene,RELCH-RET,was identified as a research target.Three cell models were established:negative control(HBE VC,transfected with empty lentiviral vector),RET control(HBE RET,transfected with lentiviral overexpression vector of Flag-RET),and experimental group(HBE RELCH-RET,transfected with lentiviral overexpression vector of Flag-RELCH-RET).MTS assay and Transwell assay were used to detect cell proliferation and migratory and invasive abilities.In vivo tumorigenicity of the 3 cell models was assessed in 15 female non-obese diabetic/severe combined immunodeficiency(NOD/SCID)mice(SPF grade,4 weeks old,weighing 15.1±0.4 g)via subcutaneous xenograft experiments,with 5 animals in each group.Western blotting was employed to detect the autophosphorylation of RET(Y905)and the phosphorylation of downstream signaling proteins ERK1/2,EGFR(Y845)and STAT3(Y705).Dimerization and multimerization status of RELCH-RET were analyzed by chemical cross-linking(DTME treatment)in combination with Western blotting,with the reversibility being confirmed through de-cross-linking experiments.Results There were 3 cases carrying RELCH-RET fusion gene screened out from the 469 NSCLC patients.Compared with the HBE VC and HBE RET groups,the HBE RELCH-RET group exhibited significantly enhanced cell proliferation(P<0.01),and acquired migratory and invasive abilities(P<0.01),while the control groups did not demonstrate the abilities.In the mouse xenograft tumor model,HBE cells stably expressing RELCH-RET developed significant tumor nodules(P<0.001),whereas the control groups(empty vector and wild-type RET)failed to exhibit detectable tumor growth.Western blotting revealed that RELCH-RET could induce the autophosphorylation of the RET tyrosine residue(Y905)and significantly up-regulate the phosphorylation levels of ERK1/2,EGFR(Y845),and STAT3(Y705)proteins.Chemical cross-linking combined with Western blot analysis demonstrated that RELCH-RET formed a dimer(～170 kDa)in HBE cells,which is reversibly dissociated into monomers upon decross-linking treatment.Conclusion The novel fusion gene RELCH-RET,promotes ligand-independent dimerization/oligomerization,thereby mediating RET autophosphorylation,subsequently activates the downstream typical RET signaling pathway and ultimately drives the malignant transformation of normal HBE cells.

Objective To elucidate the effects of miR-616 on the malignant biological processes of osteosarcoma and to preliminarily explore its potential mechanisms.Methods In situ hybridization(ISH)was employed to analyze miR-616 expression in 11 paraffin-embedded osteosarcoma specimens collected in our department during January 2018 to December 2019.Quantitative real-time PCR(qRT-PCR)was used to compare the mRNA expression level of miR-616 in the osteoblast cell line hFOB1.19 and osteosarcoma cell lines 143B and HOS.Stable cell lines with miR-616 knockdown or overexpression were established via lentiviral transfection in 143B and HOS cells.Cell proliferation and apoptosis were detected by flow cytometry,while cell invasion and migration were assessed using Transwell and colony formation assays,respectively.To evaluate the effect of miR-616 on tumor growth in vivo,10 female nude mice(4 weeks old,weighing 18～20 g)were randomized into a control group and a miR-616 overexpression group.After the xenograft tumor model was constructed,the growth of subcutaneous tumors was monitored.Finally,next-generation sequencing and a dual-luciferase reporter assay were performed to identify the target genes of miR-616.Results ISH results showed that miR-616 expression was up-regulated in osteosarcoma tissues than adjacent tissues,and primarily localized in the cytoplasm.qRT-PCR confirmed that miR-616 level was significantly higher in 143B and HOS cells than hFOB1.19 cells(P<0.05).In vitro experiments revealed that miR-616 overexpression enhanced the proliferation,migration and invasion,while suppressing apoptosis in 143B and HOS cells(P<0.01).Conversely,miR-616 knockdown weakened these malignant phenotypes(P<0.05),with miR-616-3p showing a stronger effect on apoptosis than miR-616-5p.Animal experiments demonstrated that the tumor weight in the miR-616 overexpression group was significantly greater than that of the control group(98.00±17.22 vs 33.60±8.08 mg,P<0.01).Furthermore,KLF2 was identified and confirmed as a direct target of miR-616.Conclusion MiR-616 promotes malignant biological behaviors in osteosarcoma,and its expression level indicates that it may serve as a potential therapeutic target.

The treatment of acute Stanford type A aortic dissection has always been extremely challenging. Organ malperfusion syndrome is a common severe complication of acute aortic dissection, which can cause organ ischemia and internal environment disorder. Malperfusion increases early mortality, and impacts the long-term prognosis. In recent years, many scholars have done some studies on aortic dissection complicated with malperfusion. They explored the pathogenesis, proposed new classification, and innovated new treatment strategies. However, at present, the treatment strategies of acute Stanford type A aortic dissection complicated with organ malperfusion are different at different centers and consensus on its treatment is still lacking. Therefore, this review summarized the pathogenesis, classification, treatment strategy, and prognosis of acute Stanford type A aortic dissection complicated with malperfusion.

Objective:This study examined the development trend and research hotspot of cardiopulmonary brain resuscitation in the last ten years by a visual analysis of the literature on post-cardiac arrest brain injury.Methods:English articles were acquired from the Web of Sciences (WOS) core database. CiteSpace 5.8.R3 software was used to analyze annual publications, countries, institutions, authors. We identified the trending research areas by analyzing collaborative networks, keywords co-occurrence, burst detection analysis, timeline and time-zone diagrams.Results:The search included 10 867 articles in the WOS core database from Jan 1, 2013 to Oct 25, 2023. In the last ten years, the top 3 nations were the United States, China, and Japan, with the United States having the most citation of 3691 and an centrality of 0.47. The author with the highest number of publications was Hans Friberg from Sweden. The top 5 most frequent keywords in WOS were cardiac arrest, cardiopulmonary resuscitation, resuscitation, survival, outcome. Keyword cluster analysis showed 4 clusters, including: #0 of-hospital cardiac arrest, #1 traumatic brain injury, #2 targeted temperature management, #3 global cerebral ischemia. Keyword burst showed that the top 5 ranked by strength are mild hypothermia, emergency cardiovascular care, neuron specific enolase, cerebral ischemia, epinephrine, and the top 5 ranked by the year of burst begins are out-of-hospital cardiac arrest, cpr, epinephrine, coma, and task force. The timeline and time zone charts indicated that, starting in 2017, the main fields of study concentration were traumatic brain injury and out-of-hospital cardiac arrest. Additionally, extracorporeal membrane, intensive care, risk factors, and electroencephalography were identified as new high-frequency keywords.Conclusions:Over the past ten years, the research hotspots on post-cardiac arrest brain injury include out-of-hospital cardiac arrest, traumatic brain injury, and target temperature control. The research development trends will be extracorporeal membrane oxygenation, critical care, and EEG.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To compare the biomechanical effects of contiguous three-level cervical Hybrid surgery[anterior cervical discectomy and fusion (ACDF) + cervical disc arthroplasty ( CDA)] and three-level ACDF. Methods The finite element model of C1-T1 cervical-thoracic spine was developed based on CT data. Three models were simulated by the implantation of Prestige LP and Zero-P prostheses, including two Hybrid models (AFA, Prestige LP implanted at C3-4 and C5-6 segments and Zero-P implanted at C4-5 segment; FAF, Zero-P implanted at C3-4 and C5-6 segments and Prestige LP implanted at C4-5 segment) and three-level ACDF model(FFF). The changes in range of motion (ROM) of adjacent levels during flexion, extension, lateral bending and axial rotation, the overall ROM, as well as the intradiscal pressure ( IDP) and facet contact force ( FCF) of adjacent levels were compared. Results The ROM in adjacent levels and the overall ROM of the AFA modelwere closer to the intact model, and the maximum increases in the ROM of the adjacent levels for the FAF and FFF models were 15. 0% and 23. 4% , respectively. For AFA, FAF and FFF models, the maximum increases in the maximum IDP of adjacent levels were 19. 0% , 66. 7% , 147. 6% , and the maximum increases in FCF were 17. 4% , 55. 7% , 80. 1% , respectively. Conclusions This study provides biomechanical basis for three-level cervical Hybrid surgery in treating patients with the contiguous three-level cervical degenerative disc disease.

新冠病毒感染疫情严重威胁着世界各国人民的生命健康。目前，对病毒感染的防治研究主要集中在抑制病毒与分子受体的结合上。AXL作为新发现的严重急性呼吸综合征冠状病毒2型（SARS-CoV-2）受体，在协助病毒感染人体呼吸系统中发挥着重要作用，是未来临床干预的潜在靶点。本研究对已发表的单细胞测序数据进行整理和分析，发现AXL在年轻人肺细胞中的表达水平明显高于老年人。人胚肺二倍体成纤维细胞（2BS）是衰老研究的公认细胞株。本文采用2BS细胞构建复制性细胞衰老模型，发现年轻细胞中AXL的蛋白水平明显高于衰老细胞，据此推测年轻人感染的风险可能更高，需要注意防护。我们发现一种羊栖菜褐藻多糖硫酸酯组分（SFW-3）可显著下调年轻2BS细胞中AXL的表达水平，表明SFW-3具有一定的抗SARS-CoV-2感染的研究价值，同时表明2BS细胞株也可作为潜在的SARS-CoV-2体外感染模型。
Humans ; SARS-CoV-2 ; Sargassum/metabolism* ; Diploidy ; Sulfates/metabolism* ; COVID-19 ; Polysaccharides/pharmacology* ; Lung

Objective:To investigate the risk factors for bleeding and thrombosis during extracorporeal membrane oxygenation (ECMO) therapy in critically ill patients and determine the best predictors of coagulation-related complications.Methods:A retrospective analysis was performed on patients who received ECMO for respiratory or circulatory failure at Xiangya Hospital of Central South University from January 2020 to December 2022. The outcome was whether bleeding or thrombosis occurred from 24 h after ECMO insertion to before weaning. The differences in demographic characteristics, weaning conditions, prognosis, routine blood tests, organ function, coagulation and blood product transfusion of each group were compared. Logistic regression analysis was used to evaluate the risk factors for bleeding and thrombosis, and ROC curve evaluation was used to assess their capacity to predict complications.Results:A total of 61 patients with ECMO were enrolled, with 21 cases of bleeding and 14 cases of thrombosis during ECMO. Compared with the nonbleeding group, the activated partial thromboplastin time, thromboplastin time (TT), and transfusions of frozen plasma and red blood cells were higher in the bleeding group (all P<0.05). Compared with the nonthrombotic group, the increase in body weight, D-dimer (DD), fibrinogen degradation product (FDP), and improvement of arterial oxygen partial pressure (ΔPO 2) within 24 h were significantly higher in the thrombotic group (all P<0.05). Logistic regression analysis revealed that TT ( OR=1.039, 95% CI: 1.006~1.072, P=0.018) and frozen plasma transfusion volume ( OR=1.046, 95% CI: 1.010-1.083, P=0.012) were risk factors for bleeding events. FDP ( OR=1.030, 95% CI: 1.009-1.051, P=0.005), DD ( OR=1.181, 95% CI: 1.044-1.336, P=0.008), and ΔPO 2 ( OR=1.007, 95% CI: 1.002-1.012, P=0.006) were risk factors for thrombosis. According to ROC curve analysis, the AUCs of TT, frozen plasma transfusion, and combined indexes for predicting bleeding were 0.712, 0.690, and 0.816, respectively. The combined indices had a cut-off value of 0.273, a sensitivity of 75.61%, and a specificity of 80.00%. The AUCs of FDP, DD, ΔPO 2, and combined FDP with ΔPO 2 for predicting thrombosis were 0.778, 0.748, 0.786, and 0.868, respectively. The cut-off value of the combined index was 0.157, the sensitivity was 68.09%, and the specificity was 92.86%. Conclusions:TT combined with frozen plasma transfusion volume predicted bleeding optimally, while FDP plus ΔPO 2 predicted thrombotic events better during ECMO treatment in critically ill patients.