Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

High-performance phototheranostics with combined photothermal therapy and photoacoustic imaging have been considered promising approaches for efficient cancer diagnosis and treatment. However, developing phototheranostic materials with efficient photothermal conversion efficiency (PCE), especially over the second near-infrared window (NIR-II, 1000-1700 nm), remains challenging. Herein, we report an ultraefficient NIR-II-activated nanomedicine with phototheranostic and vaccination capability for highly efficient in vivo tumor elimination and metastasis inhibition. The NIR-II nanomedicine of a semiconducting biradical oligomer with a motor-flexible design was demonstrated with a record-breaking PCE of 87% upon NIR-II excitation. This nanomedicine inherently features extraordinary photothermal stability, good biocompatibility, and excellent photoacoustic performance, contributing to high-contrast photoacoustic imaging in living mice and high-performance photothermal elimination of tumors. Moreover, a whole-cell vaccine based on a NIR-II nanomedicine with NIR-II-activated performance was further designed to remotely activate the antitumor immunologic memory and effectively inhibit tumor occurrence and metastasis in vivo, with good biosafety. Thus, this work paves a new avenue for designing NIR-II active semiconducting biradical materials as a promising theranostics platform and further promotes the development of NIR-II nanomedicine for personalized cancer treatment.

Cuproptosis, a recently discovered form of regulated cell death involving copper ion metabolism, has emerged as a promising approach for tumor therapy. This pathway not only directly eliminates tumor cells but also promotes immunogenic cell death (ICD), reshaping the tumor microenvironment (TME) and initiating robust anti-tumor immune responses. However, translating cuproptosis-based therapies into clinical applications is hindered by challenges, including complex metabolic regulation, TME heterogeneity, and the precision required for effective drug delivery. To address these limitations, nanoparticles offer transformative solutions by providing precise delivery of cuproptosis-inducing agents, controlled drug release, and enhanced therapeutic efficacy through simultaneous modulation of metabolic pathways and immune responses. This review systematically discusses recent advancements in nanoparticle-based cuproptosis delivery systems, highlighting nanoparticle design principles and their synergistic effects when integrated with other therapeutic modalities such as ICB, PTT, and CDT. Furthermore, we explore the potential of cuproptosis-based nanomedicine for personalized cancer treatment by emphasizing strategies for TME stratification and therapeutic optimization tailored to patient profiles. By integrating current insights from metabolic reprogramming, tumor immunotherapy, and nanotechnology, this review aims to facilitate the clinical translation of cuproptosis nanomedicine and significantly contribute to the advancement of precision oncology.

Depression is a common disease that affects human mental health in today’s society. The establishment of animal model of depression is of great significance to the study of depression. In recent years, people’s research on depression has gradually increased, and the modeling methods of depression animals have been gradually enriched. Due to the reasons of operation and cost, the modeling of depression in rodents is more common and mature. At present, the main animal models of depression include stress model, drug model, surgical model and genetic model. Each model has its own advantages and disadvantages. Appropriate methods can be selected according to the research purpose, so as to conduct in-depth research on depression. Recent studies have found that some brain signal pathways have become new targets for the treatment of depression. These signal pathways are closely related to depression, and the drugs acting on these targets have significant curative effects. Therefore, this paper reviewed the research progress of animal models and signal pathways of depression in recent years, so as to provide a theoretical basis for the study of the pathogenesis of depression.

BACKGROUND:Atlantoaxial dislocation is often facilitated by interlaminar bone grafting.However,there are relatively few reports on the treatment of complex atlantoaxial dislocation with posterior atlantoaxial lateral mass interarticular release and fusion. OBJECTIVE:To explore the safety and effectiveness of atlantoaxial dislocation treated by simple posterior atlantoaxial lateral block interarticular release and fusion. METHODS:We retrospectively analyzed the clinical data of 30 patients with atlantoaxial dislocation who were treated from January 2017 to July 2021,all of whom suffered from reducible atlantoaxial dislocation.Posterior atlantoaxial lateral mass interarticular release and fusion were performed in all patients.During the surgery,patented instruments were used to release the atlantoaxial lateral mass joint,and posterior screw reduction and fixation were used with bone grafting in the lateral mass joint space.The postoperative follow-up period was 6 to 24 months,mean(13.0±5.4)months.During the follow-up period,cervical MRI was reviewed to observe the decompression of the upper cervical spine.X-ray films and CT scans were reviewed to observe the reduction of the upper cervical spine,as well as the internal fixation for looseness and breakage.CT scans were reviewed to assess interlateral block implant fusion.The Japanese Orthopaedic Association score was used to evaluate the improvement of spinal cord function.The neck disability index and the quality of life scale were used to assess the improvement of daily life function.The atlanto-anterior interspace and atlanto-planar spinal effective space were used to evaluate atlantoaxial repositioning and decompression. RESULTS AND CONCLUSION:(1)The surgery of 30 patients went smoothly,and no serious complications such as spinal nerve and vertebral artery injuries occurred during the operation.Postoperative review of cervical MRI showed that the spinal cord compression was lifted.X-ray film and CT showed that the atlanto-anterior gap was significantly reduced;the effective space of atlantoaxial spinal cord was significantly increased,and neurological dysfunctional symptoms were significantly reduced.(2)During the follow-up period,X-ray film and CT showed that the internal fixation was solid;no broken nails or rods occurred,and there was no recurrence of atlantoaxial dislocation.(3)The Japanese Orthopaedic Association scores,neck disability index,and quality of life scores were significantly improved at the last follow-up compared with the preoperative period(P<0.05).The average improvement rate of Japanese Orthopaedic Association scores at the last follow-up was 73.1%.The average neck disability index was 8.80%.All of the patients had a continuous bone-scalp connection between atlantoaxial lateral block joints to achieve osseous fusion.(4)These findings indicate that the use of simple posterior atlantoaxial lateral block interarticular release and fusion for the treatment of atlantoaxial dislocation can significantly increase the fusion rate and shorten the fusion time.

Heart failure is a disease that seriously threatens human health and has become a global public health problem. Diagnostic and prognostic analysis of heart failure based on medical imaging and clinical data can reveal the progression of heart failure and reduce the risk of death of patients, which has important research value. The traditional analysis methods based on statistics and machine learning have some problems, such as insufficient model capability, poor accuracy due to prior dependence, and poor model adaptability. In recent years, with the development of artificial intelligence technology, deep learning has been gradually applied to clinical data analysis in the field of heart failure, showing a new perspective. This paper reviews the main progress, application methods and major achievements of deep learning in heart failure diagnosis, heart failure mortality and heart failure readmission, summarizes the existing problems and presents the prospects of related research to promote the clinical application of deep learning in heart failure clinical research.
Humans ; Artificial Intelligence ; Deep Learning ; Heart Failure/diagnosis* ; Machine Learning ; Diagnostic Imaging

Objective:To investigate the correlations between expression of long noncoding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), nuclear-enriched abundant transcript 1 (NEAT1) and their functions on exosome secretion, proliferation and invasion in hepatocellular carcinoma (HCC).Methods:We used small interfering RNA of MALAT1 (si-MALAT1) to knockdown MALAT1 in HuH-7. At the meanwhile, cells which were transfected with si-NC were used as the negative control group. Expression of NEAT1, cell proliferation and invasion function were detected these two groups. HuH-7 cells were transfected with lentivirus NEAT1 over expressing vector (lv-NEAT1) or negative control (lv-control). Expression of exosomes secretion related genes were analyzed between lv-NEAT1 and lv-control groups. Cells of lv-NEAT1 were knockdown MALAT1 expression using si-MALAT1, which could be si-MALAT1+ lv-NEAT1 group. exosomes secretion was detected in si-NC, si-MALAT1 and si-MALAT1+ lv-NEAT1 group. We treated cells (si-MALAT1 group) with exosomes from cells with lv-NEAT1 or lv-control to divide cells as si-MALAT1+ exosomes of lv-NEAT1 cells and si-MALAT1+ exosomes of lv-control groups. Cell proliferation and invasion of cells were detected in two groups.Results:Low expression of NEAT1 were found in MALAT1 knockdown cells compared with si-NC group [(0.72±0.02) vs. (0.98±0.01), P<0.05]. Cells with MALAT1 knockdown shown diminished proliferation [(0.66±0.03) vs. (0.98±0.04), P<0.05)] and invasion [(88.33±7.26) vs. (147.70±13.62), P<0.05)]. Compared with si-NC group, CD9 and CD63 expression were decreased in exosomes of si-MALAT1 group. Compared with si-MALAT1 group, CD9 and CD63 expression was increased in exosomes of si-MALAT1+ lv-NEAT1 group. Compared with si-MALAT1+ exosomes of lv-control group, proliferation [(0.97±0.03) vs. (0.74±0.05), P<0.05)] and invasion [ (132.70±7.36) vs. (98.33±6.01), P<0.05) ] were increased in si-MALAT1+ exosomes of lv-NEAT1 group. Exosomes related genes expression including HSPA8 (5.53±0.31), SLC3A2 (0.32±0.07) and SLC7A5 (0.77±0.45) were changed in lv-NEAT1 group compared with lv-control group [(0.98±0.15), P<0.05]. Conclusion:MALAT1 induced exosomes secretion by NEAT1 and exosomes related genes regulation. This regulation might be related with increased proliferation and invasion function in HCC cells with MALAT1 and NEAT1 abnormal expression.