Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective: To investigate the association of physical activity and screen time with overweight and obesity among children and adolescents with special needs in Tianjin, so as to provide scientific evidence for childhood obesity prevention and intervention measures in the population. Methods: From January 2022 to June 2024, 296 children and adolescents with intellectual disabilities and autism spectrum disorders aged 2-18 years were recruited from special education schools and institutions in Tianjin. Height and weight were measured, and a standardized questionnaire was used to assess physical activity and screen time. Binary Logistic regression analysis was carried out to investigate the association of physical activity and screen time with overweight and obesity. Results: The prevalence of overweight and obesity among children and adolescents with special needs in Tianjin were 17.2% and 21.6%, respectively, and the combined prevalence of overweight and obesity was 38.9%. The median of moderatetovigorous physical activity (MVPA) time was 0.20 h/d, and physical activity sufficiency rate was 7.8%. The median of screen time was 1.79 h/d, and the screen time compliance rate was 68.2%. The binary Logistic regression results showed that lower levels of MVPA time and increased screen time were associated with a higher risk of overweight and obesity among children and adolescents with special needs [OR(95%CI)=1.80(1.06-3.07), 2.40(1.42-4.07),P<0.05]. Conclusions Insufficient physical activity and excessive screen time are associated with an increased risk of overweight and obesity among children and adolescents with special needs. Therefore, comprehensive intervention measures should be implemented as early as possible to prevent and reduce the incidence of overweight and obesity in this population.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

The circadian clock plays a critical role in regulating various physiological processes, including gene expression, metabolic regulation, immune response, and the sleep-wake cycle in living organisms. Post-translational modifications (PTMs) are crucial regulatory mechanisms to maintain the precise oscillation of the circadian clock. By modulating the stability, activity, cell localization and protein-protein interactions of core clock proteins, PTMs enable these proteins to respond dynamically to environmental and intracellular changes, thereby sustaining the periodic oscillations of the circadian clock. Different types of PTMs exert their effects through distincting molecular mechanisms, collectively ensuring the proper function of the circadian system. This review systematically summarized several major types of PTMs, including phosphorylation, acetylation, ubiquitination, SUMOylation and oxidative modification, and overviewed their roles in regulating the core clock proteins and the associated pathways, with the goals of providing a theoretical foundation for the deeper understanding of clock mechanisms and the treatment of diseases associated with circadian disruption.
Protein Processing, Post-Translational/physiology* ; Circadian Rhythm/physiology* ; Humans ; Animals ; CLOCK Proteins/physiology* ; Circadian Clocks/physiology* ; Phosphorylation ; Acetylation ; Ubiquitination ; Sumoylation

Objective This paper aims to construct a system integrating mixed reality technology with artificial algo-rithm and to evaluate its effectiveness in vascular localization during anterolateral thigh perforator flap surgery to provide new insights for clinical practice.Methods Twenty patients undergoing anterolateral thigh perforator flap repair were selected.After attaching positioning devices on the lower limb,CT angiography(CTA)scans were performed.The 2D data obtained were converted into a 3D model of the positioning device and vessels.Mixed reality technology was uti-lized to achieve 3D visualization of perforator vessels.An artificial algorithm was developed in HoloLens 2 to match the positioning device automatically with its 3D model intraoperatively to overlap the perforator vessels with their 3D mod-els.The number of perforator vessels identified within the flap harvesting area and the actual number detected during sur-gery were recorded to calculate the accuracy rate of vessel identification based on CTA data reconstruction.The distance between the perforator vessel exit points located by the system and the actual exit points was measured,and the error val-ues were calculated.The surgical time required for the system to harvest the anterolateral thigh perforator flap was docu-mented and compared with the surgical time required by conventional methods.The clinical applicability of the system was discussed.Results The CTA data reconstruction identified 30 perforator vessels,while the actual number found during surgery was 32,resulting in an identification accuracy rate of 93.75％.The average distance between the perfora-tor vessel exit points located by the system and the actual exit points was(1.65±0.52)mm.The average surgical time for flap harvesting with the assistance of the system was(43.45±4.6)min compared with(57.6±7.9)min required by conven-tional methods.All perforator flaps survived the procedure.One case of flap infection occurred seven days postoperative-ly,and one case of partial flap necrosis was treated with symptomatic therapy,resulting in delayed healing.Conclusion The system constructed in this paper can achieve 3D visualization of perforator vessels through mixed reality technology and improve the accuracy of perforator vessel localization using artificial algorithms,hence demonstrating potential ap-plication in anterolateral thigh perforator flap harvesting surgeries.

Background::Although some well-established oncogenes are involved in cancer initiation and progression such as prostate cancer (PCa), the long tail of cancer genes remains to be defined. Goosecoid ( GSC) has been implicated in cancer development. However, the comprehensive biological role of GSC in pan-cancer, specifically in PCa, remains unexplored. The aim of this study was to investigate the role of GSC in PCa development. Methods::We performed a systematic bioinformatics exploration of GSC using datasets from The Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, German Cancer Research Center, and our in-house cohorts. First, we evaluated the expression of GSC and its association with patient prognosis, and identified GSC-relevant genetic alterations in cancers. Further, we focused on the clinical characterization and prognostic analysis of GSC in PCa. To understand the transcriptional regulation of GSC by E2F transcription factor 1 ( E2F1), we performed chromatin immunoprecipitation quantitative polymerase chain reaction (qPCR). Functional experiments were conducted to validate the effect of GSC on the tumor cellular phenotype and sensitivity to trametinib. Results::GSC expression was elevated in various tumors and significantly correlated with patient prognosis. The alterations of GSC contribute to the progression of various tumors especially in PCa. Patients with PCa and high GSC expression exhibited worse progression-free survival and biochemical recurrence outcomes. Further, GSC upregulation in patients with PCa was mostly accompanied with higher Gleason score, advanced tumor stage, lymph node metastasis, and elevated prostate-specific antigen (PSA) levels. Mechanistically, the transcription factor, E2F1, stimulates GSC by binding to its promoter region. Detailed experiments further demonstrated that GSC acted as an oncogene and influenced the response of PCa cells to trametinib treatment. Conclusions::GSC was highly overexpressed and strongly correlated with patient prognosis in PCa. We found that GSC, regulated by E2F1, acted as an oncogene and impeded the therapeutic efficacy of trametinib in PCa.

Objective To study the population distribution characteristics and follow-up results of a health examination institution in Xinjiang.Methods 65 045 subjects who took physical examination in the Health Management Center of Xinjiang Medical University in 2022,and 4 665 subjects with important abnormal results were selected.The follow-up rules of important abnormal results class B were formulated,telephone notification and follow-up in January and June,and follow-up were recorded by follow-up information system.Results Of the 4665 cases,447 cases(9.58% )had important abnormal results of class A and 4 218 cases(90.42% )had important abnormal results of class B;there were 2 815 males(60.34% )and 1 850 females(39.66% ),indicating cases were higher in males than in females(P＜0.05);there was a correlation between age and impor-tant abnormal results(P＜0.05).The number of abnormal results in important sections of 41-50 years old(1 114 cases)and 51-60 years old(1 211 cases)accounted for a high proportion.4 457 cases(95.54% )were effectively notified,4 397 cases(98.65% )were effectively followed up after notification,and 60 cases(1.35% )lost follow-up.After telephone follow-up,2118 cases(48.17% )were treated and 2 279 cases(51.83% )were not treated.1 562(58.57% )ofmales who did not see a doctor,compared with 717(41.45% )of females,and there was statistical significance between sex and whether they saw a doc-tor or not(P＜0.05).There were 1 194 cases(56.40% )of non-tumor diseases,97 cases(4.5% )of malignant diseases and 827 cases(39.1% )of undefined diseases.Conclusion Significant abnormal results are higher in men than women,and the in-cidence of significant abnormalities increases with age.The notification and follow-up success rate in the implementation of the follow-up pathway should also be improved.The subjects did not fully understand and paid enough attention to the important abnormal outcome indicators(60.44% )or see a doctor in time according to the follow-up recommendations.Health education needs to be strengthened to improve their health awareness and urge them to get timely treatment,which was of great significance to improve the"early screening,early evaluation and early intervention"of the disease.

Multiple sclerosis (MS) is a neuroinflammatory demyelinating disease, mediated by pathogenic T helper 17 (Th17) cells. However, the therapeutic effect is accompanied by the fluctuation of the proportion and function of Th17 cells, which prompted us to find the key regulator of Th17 differentiation in MS. Here, we demonstrated that the triggering receptor expressed on myeloid cells 2 (TREM-2), a modulator of pattern recognition receptors on innate immune cells, was highly expressed on pathogenic CD4-positive T lymphocyte (CD4⁺ T) cells in both patients with MS and experimental autoimmune encephalomyelitis (EAE) mouse models. Conditional knockout of Trem-2 in CD4⁺ T cells significantly alleviated the disease activity and reduced Th17 cell infiltration, activation, differentiation, and inflammatory cytokine production and secretion in EAE mice. Furthermore, with Trem-2 knockout in vivo experiments and in vitro inhibitor assays, the TREM-2/zeta-chain associated protein kinase 70 (ZAP70)/signal transducer and activator of transcription 3 (STAT3) signal axis was essential for Th17 activation and differentiation in EAE progression. In conclusion, TREM-2 is a key regulator of pathogenic Th17 in EAE mice, and this sheds new light on the potential of this therapeutic target for MS.
Animals ; Humans ; Mice ; CD4-Positive T-Lymphocytes/pathology* ; Cell Differentiation ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Mice, Inbred C57BL ; Multiple Sclerosis ; Th1 Cells/pathology*