Chinese medical journal
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Chinese medical journal · Nov 2024
Development of a novel HER2-CAR monocyte cell therapy with controllable proliferation and enhanced anti-tumor efficacy.
One of the significant challenges for cell therapies, such as chimeric antigen receptor (CAR)-T cell therapy, is the poor infiltration of immune cells into tumor tissues. CAR-monocytes/macrophages (CAR-M) are promising therapies because of their enrichment in the tumor microenvironment. Thus, we constructed a novel CAR-M to facilitate the infiltration of T cells and other immune cells. ⋯ CAR-THP1 might be effective against HER2-positive tumor cells and has great potential for combination therapy with other immune cells.
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Chinese medical journal · Nov 2024
Protection of Ndrg2 deficiency on renal ischemia-reperfusion injury via activating PINK1/Parkin-mediated mitophagy.
Renal ischemia-reperfusion (R-I/R) injury is the most prevalent cause of acute kidney injury, with high mortality and poor prognosis. However, the underlying pathological mechanisms are not yet fully understood. Therefore, this study aimed to investigate the role of N-myc downstream-regulated gene 2 ( Ndrg2 ) in R-I/R injury. ⋯ Ndrg2 deficiency might become a therapy target for R-I/R injury by decreasing oxidative stress, maintaining mitochondrial homeostasis, and activating PINK1/Parkin-mediated mitophagy.
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Chinese medical journal · Nov 2024
ReviewRNF213 in moyamoya disease: Genotype-phenotype association and the underlying mechanism.
Moyamoya disease (MMD) is a cerebrovascular disorder characterized by a steno-occlusive internal carotid artery and compensatory vascular network formation. Although the precise pathogenic mechanism remains elusive, genetic association studies have identified RNF213 as the principal susceptibility gene for MMD, with the single nucleotide polymorphism p. R4810K recognized as the founder variant predominantly in the Asian populations. ⋯ This heterogeneity, in conjunction with the observed low disease penetrance of RNF213 mutations, suggests that the presence of these mutations may not be sufficient to cause MMD, underscoring the potential influence of other genetic or environmental factors. Although the current research might not have fully identified these additional contributors, experimental evidence points toward the involvement of RNF213 in angiogenesis, lipid metabolism, and the immune response. Future research is required to unveil the molecular mechanisms and identify the factors that synergize with RNF213 in the pathogenesis of MMD.
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Chinese medical journal · Nov 2024
Global and regional trends in the incidence and prevalence of uterine fibroids and attributable risk factors at the national level from 2010 to 2019: A worldwide database study.
Uterine fibroids (UFs), the most common tumors in women worldwide, may reduce quality of life and daily activities and even lead to adverse fertility and general health events in patients, causing significant societal health and financial burdens. The objective of this study was to evaluate the global burden through epidemiological trends and examine the potential risk factors for UFs at the national level. ⋯ With the increasing incidence and prevalence worldwide, effective targeted prevention and control of relevant risk factors at the national level should be encouraged to reduce the disease burden of UFs.
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Chinese medical journal · Nov 2024
ReviewLeveraging foundation and large language models in medical artificial intelligence.
Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. ⋯ Additionally, it discusses the evaluation, validation, limitations, and regulation of medical AI models, emphasizing their transformative potential in healthcare. The importance of continuous improvement, data security, standardized evaluations, and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.