Purpose: The aim of this study is to determine the impact of solute carrier family 3 member 2 (SLC3A2) on the malignant phenotype of gliomas and its role in regulating ferroptosis sensitivity. Materials and Methods: The malignant phenotype of glioma was assessed by cell proliferation assay, colony formation assay, EdU assay, wound healing, and Transwell experiments. We further validated the impact of reduced SLC3A2 expression on the sensitivity to ferroptosis in glioma cells through Cell Counting Kit-8 assays, flow cytometry, western blotting, and transmission electron microscopy. Western blot was used to explore how SLC3A2 affects glioma sensitivity to ferroptosis through the AKT/NF-E2-related factor 2 (NRF2)/glutathione peroxidase 4 (GPX4) axis. By establishing a subcutaneous xenograft tumor model in BALB/c-nude mice, we investigated the growth of tumors following the knockout of SLC3A2 in glioma cells. Results: Downregulation of SLC3A2 suppressed the malignant phenotype of glioma by blocking the cell cycle and epithelial-mesenchymal transition processes. On the other hand, loss of SLC3A2 not only downregulated SLC7A11 but also prevented the activation of the AKT/NRF2/GPX4 axis. These lead to increased accumulation of reactive oxygen species and lipid peroxides, ultimately enhancing the susceptibility of glioma to ferroptosis. Conclusion Our findings suggest that SLC3A2 is an oncogene in gliomas, promoting their occurrence and development. It plays a critical role in ferroptosis resistance through the AKT/NRF2/GPX4 axis.

In recent years, the situation of climate change has intensified, posing a threat to public health. There is an urgent need to promote public health adaptation actions to climate change. In January 2025, the National Disease Control and Prevention Administration issued the "Guidelines for Public Health Adaptation Actions to Climate Change" (hereinafter referred to as the "Guidelines"). The Guidelines put forward 20 items of guidance on six categories of public health adaptation actions, including understanding basic concepts, comprehending important policies, learning core knowledge, paying attention to key populations, practicing a low-carbon lifestyle, and mastering protection skills. It elaborates on the key concepts and the latest policies that the public needs to understand, and also provides the behavioral concepts and protection skills that should be mastered to adapt to climate change. This article provides a systematic interpretation of the Guidelines, introducing the background, ideas, connotations, and applications of their compilation, with the aim of enhancing society′s cognitive understanding of the Guidelines.

Energy metabolism disorders are a critical factor contributing to cognitive dysfunction.Astrocytes,as key suppliers of energy substrates to neurons,help to sustain normal cognitive function via their extensive energy metabolism activities in the brain,coordinated by various energy supply mechanisms.Imbalances in astrocyte-neuron energy metabolism coupling lead to abnormal neuronal activity,thereby driving the pathogenesis and progression of Alzheimer's disease(AD).It is therefore essential to investigate the pathological mechanisms and therapeutic targets associated with AD from the perspective of energy metabolism to support the future development of AD treatments and interventions.Traditional Chinese medicine(TCM),characterized by multi-component and multi-target effects,has shown potential efficacy for regulating cerebral energy metabolism,suggesting that modulating brain energy metabolism may represent a significant pathway by which TCM might ameliorate AD.This review systematically elucidates the mechanistic role of the dysregulation of astrocyte-neuron bioenergetic coupling in the pathogenesis and progression of AD,and critically evaluates recent advancements in therapeutic interventions mediated by TCM.

In recent years, the situation of climate change has intensified, posing a threat to public health. There is an urgent need to promote public health adaptation actions to climate change. In January 2025, the National Disease Control and Prevention Administration issued the "Guidelines for Public Health Adaptation Actions to Climate Change" (hereinafter referred to as the "Guidelines"). The Guidelines put forward 20 items of guidance on six categories of public health adaptation actions, including understanding basic concepts, comprehending important policies, learning core knowledge, paying attention to key populations, practicing a low-carbon lifestyle, and mastering protection skills. It elaborates on the key concepts and the latest policies that the public needs to understand, and also provides the behavioral concepts and protection skills that should be mastered to adapt to climate change. This article provides a systematic interpretation of the Guidelines, introducing the background, ideas, connotations, and applications of their compilation, with the aim of enhancing society′s cognitive understanding of the Guidelines.

Objective:To explore the feasibility of high-level deep learning image reconstruction (DLIR-H) algorithm in dynamic myocardial perfusion (CTP) and coronary CT angiography (CCTA) extraction.Methods:From October 2021 to October 2022, 41 patients with confirmed or suspected coronary heart disease who underwent traditional CCTA and dynamic CTP examinations on GE Apex CT were prospectively collected. Traditional CCTA used 100 kVp tube voltage scan and DLIR-H to reconstruct the original image, while dynamic CTP used 80 kVp tube voltage scan to reconstruct the original image with ASiR-V 100% and DLIR-H, respectively. Comparing subjective and objective scores and myocardial blood flow (MBF) values?of rest and stress CTP between ASiR-V100% and DLIR-H. Subjective and objective scores, as well as stenosis degree and coronary CT blood flow reserve fraction (CT-FFR) value were analyzed on a vessel basis, and the image quality and diagnostic performance of traditional CCTA and single-phase CCTA (SP-CCTA) extracted under DLIR-H CTP were compared. Statistical analysis were performed using paired t test, Wilcoxon signed-rank test and χ2 test. Results:In the subjective image quality analysis of resting and stress CTP, DLIR-H was improved compared with ASiR-V100%, and the difference was statistically significant (all P<0.05). There was no significant difference in MBF values obtained by the two reconstruction methods in the assessment of quantitative myocardial perfusion ( P>0.05). Compared with traditional CCTA, the vascular CT value of SP-CCTA increased by 15.12%, the noise value increased by 32.27%, and the subjective score was also slightly lower (4.23±0.05). However, there were no statistically significant differences in total plaque volume, maximum stenosis degree, and number of CT-FFR positive vessels between SP-CCTA and traditional CCTA (all P>0.05). Conclusion:The deep learning reconstruction algorithm can not only improve the quality of the original image to a certain extent on dynamic CTP, but also extract high-quality single-phase CCTA to meet clinical diagnosis and realize a “one-stop” dynamic myocardial perfusion examination, which will help simplify the examination process, reduce contrast agent and radiation doses in the future.

Objective To investigate the effects of electroacupuncture(EA)at"Baihui(GV 20),""Pishu(BL 20),"and"Zusanli(ST 36)"on the learning and memory functions of rats with Alzheimer's disease(AD)induced by Aβ1-42.Additionally,the mechanism of EA in treating AD was explored from the perspective of the inflammatory cascade mediated by the NF-κ B/NLRP3/Caspase-1 signaling pathway.Methods A rat model of Alzheimer's disease was established by bilateral injection of Aβ1-42 solution into the C1 region of the hippocampus.According to the random number table method,32 male SPF-grade rats were divided into four groups(n=8 per group):a sham-operated group,a model group,an electroacupuncture(EA)group,and a Western medicine group(donepezil hydrochloride).The EA group received electroacupuncture at the"Baihui","Pishu",and"Zusanli"acu-points;the Western medicine group received donepezil hydrochloride via gavage.After the treatment period,Morris water maze experiments were conducted to evaluate learning and memory abilities.Hematoxylin and eosin(HE)staining was used to examine morphological changes in hippocampal tissues.Enzyme-linked immunosorbent assay(ELISA)was employed to measure serum levels of TNF-α and IL-1β.Western blotting and immunofluorescence staining were utilized to assess the co-expression levels of NF-κB p65,NLRP3,and Caspase-1 proteins in the hippocampal region.Results Compared with the sham-operated group,rats in the post-modeling group exhibited significantly prolonged escape latency(P<0.05),reduced crossings of the original platform location,and decreased time spent in the target quadrant(P<0.05).Additionally,nuclear morphology was altered,neurons surrounding the hippocampus displayed necrosis,vacuolar degeneration,and chromatin marginalization.Serum levels of TNF-α and IL-1β were elevated(P<0.05),and protein expression levels as well as fluorescent positivity for NF-κB p65,NLRP3,and caspase-1 in the hippocampus were increased(P<0.05).Compared with the model group,rats in both the EA and Western medicine groups showed a trend toward shorter escape latency(P<0.05),increased crossings of the original platform location and time spent in the target quadrant(P<0.05).Cell structures were largely intact,with only a few nuclei showing slight irregularities and some chromatin accumulation at the edges.Serum levels of TNF-α and IL-1β were reduced(P<0.05),and protein expression levels and fluorescence positivity for NF-κB p65,NLRP3,and caspase-1 in the hippocampus were also decreased(P<0.05).Conclusion EA enhances the learning and memory capabilities of AD rats,potentially by downregulating the NF-κ B/NLRP3/Caspase-1+signaling+pathway and decreasing the release of neuroinflammatory factors,thereby alleviating cognitive dysfunction in AD rats.

Energy metabolism disorders are a critical factor contributing to cognitive dysfunction.Astrocytes,as key suppliers of energy substrates to neurons,help to sustain normal cognitive function via their extensive energy metabolism activities in the brain,coordinated by various energy supply mechanisms.Imbalances in astrocyte-neuron energy metabolism coupling lead to abnormal neuronal activity,thereby driving the pathogenesis and progression of Alzheimer's disease(AD).It is therefore essential to investigate the pathological mechanisms and therapeutic targets associated with AD from the perspective of energy metabolism to support the future development of AD treatments and interventions.Traditional Chinese medicine(TCM),characterized by multi-component and multi-target effects,has shown potential efficacy for regulating cerebral energy metabolism,suggesting that modulating brain energy metabolism may represent a significant pathway by which TCM might ameliorate AD.This review systematically elucidates the mechanistic role of the dysregulation of astrocyte-neuron bioenergetic coupling in the pathogenesis and progression of AD,and critically evaluates recent advancements in therapeutic interventions mediated by TCM.

Objective To investigate the effects of electroacupuncture(EA)at"Baihui(GV 20),""Pishu(BL 20),"and"Zusanli(ST 36)"on the learning and memory functions of rats with Alzheimer's disease(AD)induced by Aβ1-42.Additionally,the mechanism of EA in treating AD was explored from the perspective of the inflammatory cascade mediated by the NF-κ B/NLRP3/Caspase-1 signaling pathway.Methods A rat model of Alzheimer's disease was established by bilateral injection of Aβ1-42 solution into the C1 region of the hippocampus.According to the random number table method,32 male SPF-grade rats were divided into four groups(n=8 per group):a sham-operated group,a model group,an electroacupuncture(EA)group,and a Western medicine group(donepezil hydrochloride).The EA group received electroacupuncture at the"Baihui","Pishu",and"Zusanli"acu-points;the Western medicine group received donepezil hydrochloride via gavage.After the treatment period,Morris water maze experiments were conducted to evaluate learning and memory abilities.Hematoxylin and eosin(HE)staining was used to examine morphological changes in hippocampal tissues.Enzyme-linked immunosorbent assay(ELISA)was employed to measure serum levels of TNF-α and IL-1β.Western blotting and immunofluorescence staining were utilized to assess the co-expression levels of NF-κB p65,NLRP3,and Caspase-1 proteins in the hippocampal region.Results Compared with the sham-operated group,rats in the post-modeling group exhibited significantly prolonged escape latency(P<0.05),reduced crossings of the original platform location,and decreased time spent in the target quadrant(P<0.05).Additionally,nuclear morphology was altered,neurons surrounding the hippocampus displayed necrosis,vacuolar degeneration,and chromatin marginalization.Serum levels of TNF-α and IL-1β were elevated(P<0.05),and protein expression levels as well as fluorescent positivity for NF-κB p65,NLRP3,and caspase-1 in the hippocampus were increased(P<0.05).Compared with the model group,rats in both the EA and Western medicine groups showed a trend toward shorter escape latency(P<0.05),increased crossings of the original platform location and time spent in the target quadrant(P<0.05).Cell structures were largely intact,with only a few nuclei showing slight irregularities and some chromatin accumulation at the edges.Serum levels of TNF-α and IL-1β were reduced(P<0.05),and protein expression levels and fluorescence positivity for NF-κB p65,NLRP3,and caspase-1 in the hippocampus were also decreased(P<0.05).Conclusion EA enhances the learning and memory capabilities of AD rats,potentially by downregulating the NF-κ B/NLRP3/Caspase-1+signaling+pathway and decreasing the release of neuroinflammatory factors,thereby alleviating cognitive dysfunction in AD rats.

Objective:To explore the feasibility of high-level deep learning image reconstruction (DLIR-H) algorithm in dynamic myocardial perfusion (CTP) and coronary CT angiography (CCTA) extraction.Methods:From October 2021 to October 2022, 41 patients with confirmed or suspected coronary heart disease who underwent traditional CCTA and dynamic CTP examinations on GE Apex CT were prospectively collected. Traditional CCTA used 100 kVp tube voltage scan and DLIR-H to reconstruct the original image, while dynamic CTP used 80 kVp tube voltage scan to reconstruct the original image with ASiR-V 100% and DLIR-H, respectively. Comparing subjective and objective scores and myocardial blood flow (MBF) values?of rest and stress CTP between ASiR-V100% and DLIR-H. Subjective and objective scores, as well as stenosis degree and coronary CT blood flow reserve fraction (CT-FFR) value were analyzed on a vessel basis, and the image quality and diagnostic performance of traditional CCTA and single-phase CCTA (SP-CCTA) extracted under DLIR-H CTP were compared. Statistical analysis were performed using paired t test, Wilcoxon signed-rank test and χ2 test. Results:In the subjective image quality analysis of resting and stress CTP, DLIR-H was improved compared with ASiR-V100%, and the difference was statistically significant (all P<0.05). There was no significant difference in MBF values obtained by the two reconstruction methods in the assessment of quantitative myocardial perfusion ( P>0.05). Compared with traditional CCTA, the vascular CT value of SP-CCTA increased by 15.12%, the noise value increased by 32.27%, and the subjective score was also slightly lower (4.23±0.05). However, there were no statistically significant differences in total plaque volume, maximum stenosis degree, and number of CT-FFR positive vessels between SP-CCTA and traditional CCTA (all P>0.05). Conclusion:The deep learning reconstruction algorithm can not only improve the quality of the original image to a certain extent on dynamic CTP, but also extract high-quality single-phase CCTA to meet clinical diagnosis and realize a “one-stop” dynamic myocardial perfusion examination, which will help simplify the examination process, reduce contrast agent and radiation doses in the future.

Objective:To analyze the correlation between frailty and health literacy in elderly patients with chronic cardiac insufficiency.Methods:The convenience sampling method was used to select 290 elderly patients with chronic cardiac insufficiency who were hospitalized in the Department of Geriatrics and Department of Cardiovascular Medicine of a tertiary first-class hospital in Wuhu City from Mar 2022 to Jun 2022.The patients were investigated with the general information questionnaire,FRAIL scale,Health Literacy Management Scale,etc.Spearman analysis was used to analyze the correlation between frailty and health literacy.Binary logistic regression were used to analyze the risk factors of frailty in elderly patients with chronic cardiac insufficiency.Results:The incidence of frailty in elderly patients with chronic cardiac insufficiency was 22.8% .Spearman analysis showed that the total score of health literacy was negatively correlated with frailty(r=-0.291,P= 0.000).Results of binary logistic regression analysis showed that health literacy score(OR=0.419,95% CI:0.266-0.908),long-term insomnia(OR=6.466,95% CI:2.099-19.914),nutritional risk(OR=11.202,95% CI:3.983-31.508),depression risk(OR=10.014,95% CI:1.963-51.075),chronic disease types≥5(OR=12.784,95% CI:3.811-42.878),exercise self-efficacy(OR=0.512,95% CI:0.304-0.956),and chronic disease information acquisition ability(OR=0.512,95% CI:0.304-0.956)were independent predictors of frailty in elderly patients with chronic cardiac insufficiency(P＜0.05).Conclusions:The incidence of frailty in elderly patients with chronic cardiac insufficiency is high,and clinical staff should pay more attention to the elderly with frailty,especially patients with long-term insomnia,risk of nutrition and depression,coexistence of chronic diseases,low level of health literacy and exercise self-efficacy.Targeted measures should be actively taken to improve the quality of life of patients and reduce the readmission rate.