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Causal effect of systolic blood pressure on myocardial injury and mortality: insights from Mendelian randomization and a prospective group study. 收缩压对心肌损伤和死亡率的因果影响:孟德尔随机化和前瞻性组研究的见解。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-20 DOI: 10.1007/s11010-025-05373-1
Chuting Wang, Huadong Tang, Qiuxiang Yang, Yagui Lu, Zhijian Lin, Yuekui Zhang

This study aimed to examine the causal relationship between systolic blood pressure (SBP) and myocardial injury (MI), and to evaluate its prognostic implications for all-cause and cardiovascular mortality. A two-stage analytical approach was used. First, Mendelian randomization (MR) was conducted to assess the independent causal effects of SBP on six MI-related phenotypes, with adjustment for potential confounders, including lipid profiles, glycemic indices, and anthropometric traits. Second, data from 4459 participants in the National Health and Nutrition Examination Survey, with a follow-up period of up to 15 years, were analyzed. The dose-response relationship between SBP and MI was assessed using restricted cubic spline analysis. Thresholds based on sex-, age-, and comorbidities were identified using the Johnson-Neyman interaction model. MR analysis demonstrated a causal association between elevated SBP and increased risks of acute heart failure (odds ratio [OR] = 1.523), MI (OR = 1.014), and ischemic stroke (OR = 33.339). In the prospective group analysis, SBP ≥ 180 mmHg was associated with a 213.4% increased risk of MI (OR = 3.134, p = 0.003), and a graded increase in mortality was observed (hazard ratio [HR] = 2.783 for all-cause death; HR = 1.888 for cardiovascular death). Sex-stratified analysis demonstrated that the lowest MI risk occurred at SBP levels of 120-150 mmHg in men and extended to 162 mmHg in women. Among individuals aged ≥ 43 years, the risk of all-cause mortality significantly increased when SBP exceeded 135 mmHg (p < 0.001). A U-shaped relationship between SBP and mortality was observed in individuals aged ≥ 58 years with MI, with the lowest risk at 113 mmHg. Genetic and observational evidence support a causal role of elevated SBP in the development of MI. The findings demonstrate sex- and age-specific thresholds, along with a U-shaped mortality curve, providing a nuanced framework for individualized blood pressure management strategies.

本研究旨在探讨收缩压(SBP)与心肌损伤(MI)之间的因果关系,并评估其对全因死亡率和心血管死亡率的预后意义。采用了两阶段分析方法。首先,通过孟德尔随机化(MR)来评估收缩压对六种心肌梗死相关表型的独立因果影响,并对潜在的混杂因素进行调整,包括脂质谱、血糖指数和人体测量特征。其次,研究人员分析了4459名全国健康与营养调查参与者的数据,随访时间长达15年。收缩压和心肌梗死之间的剂量-反应关系采用限制三次样条分析进行评估。使用Johnson-Neyman相互作用模型确定基于性别、年龄和合并症的阈值。MR分析显示收缩压升高与急性心力衰竭(优势比[OR] = 1.523)、心肌梗死(OR = 1.014)和缺血性卒中(OR = 33.339)风险增加之间存在因果关系。在前瞻性组分析中,收缩压≥180 mmHg与心肌梗死风险增加213.4%相关(OR = 3.134, p = 0.003),死亡率呈分级增加(全因死亡的风险比[HR] = 2.783;心血管死亡的风险比[HR] = 1.888)。性别分层分析表明,男性收缩压120-150 mmHg时心肌梗死风险最低,女性收缩压为162 mmHg。在年龄≥43岁的个体中,当收缩压超过135 mmHg时,全因死亡风险显著增加(p
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引用次数: 0
Integrative single-cell and spatial transcriptome analysis reveals the functions of TREM2high macrophages and infarct border dynamics post-myocardial infarction. 综合单细胞和空间转录组分析揭示了心肌梗死后trem2高巨噬细胞的功能和梗死边界动力学。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-01 DOI: 10.1007/s11010-025-05317-9
Tao Xiong, Yan Chen, Chang Liu, Yaxiong Li, Yayong Zhang, Qing Chang

This study employs an integrative approach combining single-cell RNA sequencing (scRNA-seq), spatial transcriptomics (ST), and bulk RNA sequencing to investigate the complex cellular and molecular dynamics following myocardial infarction (MI). Quality control, batch correction, dimensionality reduction, clustering, and annotation were performed on scRNA and ST data. The Milo tool was used to analyze differential cell abundance. Developmental trajectory inference was conducted using the Monocle2 algorithm, and cell-cell communication was explored using CellPhoneDB and NicheNet. SCENIC analysis identified active transcription factors (TFs) in macrophage subtypes. Additionally, deconvolution was used to assess the spatial distribution of cell types. The functional roles of different myocardial regions were explored through cell communication patterns. Mouse MI and ischemia-reperfusion (I/R) models were established by ligating the left anterior descending (LAD) coronary artery. Molecular changes were analyzed using RT-qPCR, Western blot, immunohistochemistry and immunofluorescence. In vitro, AC16 cardiomyocytes (CMs) and THP-1-derived M2 macrophages were subjected to oxygen-glucose deprivation/reoxygenation (OGD/R) and co-culture experiments to study TREM2-mediated effects. Cell viability and apoptosis were assessed using CCK-8 and flow cytometry, respectively. The study identified dynamic changes in the proportions of immune cell types at different time points post-MI. ST revealed distinct immune cell infiltration patterns in the infarct, border, and remote zones, with macrophages progressively infiltrating the infarct region over time. Functional enrichment analysis highlighted key pathways involved in inflammation, cell proliferation, and extracellular matrix remodeling across different cardiac regions. The study also identified Trem2high macrophages as key players in tissue repair. SCENIC analysis uncovered TFs regulating macrophage subtypes, emphasizing their roles in immune regulation and tissue reconstruction. Finally, cell-cell communication analysis revealed complex signaling networks influencing immune responses and tissue repair. Our results demonstrated that the expressions of Trem2 were significantly increased in the IZ groups in the MI and I/R model, and co-culture with TREM2-overexpressing M2 macrophages significantly enhanced the proliferative capacity and reduced apoptosis in AC16 CMs under OGD/R conditions, indicating a critical role of Trem2 in the I/R response and CMs survival. This comprehensive analysis provides a detailed map of the cellular and molecular landscape post-MI, highlighting the temporal and spatial dynamics of immune cells and their regulatory networks.

本研究采用单细胞RNA测序(scRNA-seq)、空间转录组学(ST)和大量RNA测序相结合的综合方法来研究心肌梗死(MI)后复杂的细胞和分子动力学。对scRNA和ST数据进行质量控制、批量校正、降维、聚类和注释。使用Milo工具分析差异细胞丰度。使用Monocle2算法进行发育轨迹推断,并使用CellPhoneDB和NicheNet探索细胞间的通信。SCENIC分析确定了巨噬细胞亚型中的活性转录因子(TFs)。此外,反褶积用于评估细胞类型的空间分布。通过细胞通讯模式探讨不同心肌区域的功能作用。结扎左前降支(LAD)建立小鼠心肌梗死(MI)和缺血再灌注(I/R)模型。采用RT-qPCR、Western blot、免疫组织化学和免疫荧光分析分子变化。体外对AC16心肌细胞(CMs)和thp -1来源的M2巨噬细胞进行氧糖剥夺/再氧合(OGD/R)和共培养实验,研究trem2介导的作用。采用CCK-8和流式细胞术分别检测细胞活力和凋亡。该研究确定了心肌梗死后不同时间点免疫细胞类型比例的动态变化。ST在梗死区、边界区和远端区显示不同的免疫细胞浸润模式,巨噬细胞随着时间的推移逐渐浸润梗死区。功能富集分析强调了涉及不同心脏区域炎症、细胞增殖和细胞外基质重塑的关键途径。该研究还发现trem2高巨噬细胞在组织修复中起关键作用。SCENIC分析揭示了调节巨噬细胞亚型的tf,强调了它们在免疫调节和组织重建中的作用。最后,细胞间通讯分析揭示了影响免疫反应和组织修复的复杂信号网络。我们的研究结果表明,在MI和I/R模型中,IZ组Trem2的表达显著增加,并且与过表达Trem2的M2巨噬细胞共培养可显著增强OGD/R条件下AC16 CMs的增殖能力,减少凋亡,表明Trem2在I/R反应和CMs存活中起关键作用。这项全面的分析提供了mi后细胞和分子景观的详细地图,突出了免疫细胞及其调控网络的时空动态。
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引用次数: 0
Licochalcone A inhibits glioma migration, invasion, and growth by triggering mitochondrial dysfunction and ROS-mediated oxidative damage. Licochalcone A通过触发线粒体功能障碍和ros介导的氧化损伤来抑制胶质瘤的迁移、侵袭和生长。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1007/s11010-025-05367-z
Chao Yu, Deyan Yang, Nannan Li, Xiaotong Feng, Qile Song, Fusen Zhang, Yuyang Fu, Ping Li

Glioma is a common malignant tumor in nervous system, but the treatment efficacy is still unsatisfactory. Licochalcone A (Lic-A) is a kind of flavonoid isolated from glycyrrhiza and shows anti-tumor effect. This study aimed to investigate anti-tumor efficacy of Lic-A on glioma using both in vivo and in vitro models. The in vitro results showed that Lic-A inhibited the growth, migration, and invasion of glioma cells in a dose-dependent way. Lic-A induced mitochondrial dysfunction by regulating Bcl-2 family and induced reactive oxygen species (ROS), while ROS inhibition enhanced the migration and invasion of glioma cells. Finally, animal experiments confirmed that Lic-A inhibited the growth of glioma in vivo. In conclusion, our results suggest that Lic-A can inhibit the migration and invasion of glioma cells while inducing apoptosis of glioma cells. The mechanism may be related to the activation of ATM/ATR pathway and the induction of oxidative stress.

胶质瘤是一种常见的神经系统恶性肿瘤,但治疗效果仍不理想。甘草查尔酮A (Licochalcone A, Lic-A)是从甘草中分离得到的一类具有抗肿瘤作用的类黄酮。本研究旨在通过体内和体外模型研究lica对胶质瘤的抗肿瘤作用。体外实验结果显示,lica抑制胶质瘤细胞的生长、迁移和侵袭呈剂量依赖性。lica通过调节Bcl-2家族和诱导活性氧(ROS)诱导线粒体功能障碍,而抑制活性氧可增强胶质瘤细胞的迁移和侵袭。最后,动物实验证实lica在体内抑制胶质瘤的生长。综上所述,我们的研究结果表明lica可以抑制胶质瘤细胞的迁移和侵袭,同时诱导胶质瘤细胞凋亡。其机制可能与激活ATM/ATR通路,诱导氧化应激有关。
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引用次数: 0
Diagnostic potential of neutrophil extracellular traps in ulcerative colitis: a gene-based predictive model. 溃疡性结肠炎中性粒细胞胞外陷阱的诊断潜力:一种基于基因的预测模型。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 DOI: 10.1007/s11010-025-05446-1
Haijian Liang, Ying Xu, Xuan Zhang, Zhongyang Han, Junfeng Zhu
<p><strong>Background: </strong>Neutrophil extracellular traps (NETs), web-like structures released by neutrophils during the process NETosis, aiding in gut mucosal defense against microbial infections but potentially exacerbating inflammation and tissue damage. In Ulcerative Colitis (UC), NET formation is increased and may contribute to gut inflammation. However, the role of NETs in diagnosis of UC remains unclear. This study aims to identify NETs-related genes with diagnostic potential in UC and to develop a diagnostic predictive model based on these genes.</p><p><strong>Method: </strong>The transcriptome dataset of UC retrieved from the GEO database. Differential expression analysis and Gene Set Enrichment Analysis (GSEA) were performed on the training set using R software. The "CIBERSORT" algorithm was utilized to evaluate the immune cell infiltration in UC. Subsequently, differentially expressed NETs (DE-NETs) were identified by intersecting key module genes from Weighted Gene Co-Expression Network Analysis (WGCNA), NETs-related genes, and differentially expressed genes (DEGs). The diagnostic genes were identified through three machine learning algorithms (Least Absolute Shrink-age And Selection Operator (LASSO) algorithm, Random Forests (RF) and Support Vector Machine-Recursive Feature Elimination (SVM-RFE)). The results of the three algorithms were integrated to identify NETs-related diagnostic genes (NDGs). A clinical diagnostic predictive model was constructed based on NDGs, and its performance was assessed using calibration curves, Clinical Impact Curve (CIC), Decision Curve Analysis (DCA), and Receiver Operating Characteristic Curve (ROC) to evaluate its discrimination ability and clinical utility. Immunohistochemical (IHC) examination was performed on colon tissue from UC patients. Additionally, a DSS-induced UC mouse model was constructed, and NDG expression in mouse colon tissues was analyzed by qRT-PCR, Western-blot, and IHC.</p><p><strong>Results: </strong>The UC group exhibits significant enrichment of immune-related pathways, including the IL-17 signaling pathway, cytokine-cytokine receptor interactions, and TNF signaling pathway, as well as enhanced infiltration of immune cells, as demonstrated by GSEA and immune infiltration analysis. Fourteen genes were identified through intersecting DEGs, key module genes in WGCNA, and NETs-related genes. The identification of IL-1β, MMP-9 and CXCR2 as NDGs was using three machine learning methods. The clinical diagnostic predictive model of UC based on NDGs was constructed, and the AUC value of the model was 0.9715 in the training set, and 0.9595 and 0.9597 in external validation sets, respectively. Significant positive correlations were found between NDGs and Mast cells, Neutrophils, resting NK cells, M1 Macrophages, Tregs and Eosinophils. IHC analysis of clinical samples shows high expression of NDGs in the colon of UC patients. A clinical-associated nomogram was constructed from the IHC
背景:中性粒细胞胞外陷阱(NETs)是中性粒细胞在NETosis过程中释放的网状结构,有助于肠道黏膜防御微生物感染,但可能加剧炎症和组织损伤。在溃疡性结肠炎(UC)中,NET的形成增加,并可能导致肠道炎症。然而,NETs在UC诊断中的作用尚不清楚。本研究旨在鉴定具有UC诊断潜力的nets相关基因,并建立基于这些基因的诊断预测模型。方法:从GEO数据库中检索UC的转录组数据集。使用R软件对训练集进行差异表达分析和基因集富集分析(GSEA)。采用“CIBERSORT”算法评价UC免疫细胞浸润情况。随后,通过交叉加权基因共表达网络分析(WGCNA)、NETs相关基因和差异表达基因(DEGs)中的关键模块基因来鉴定差异表达NETs (DE-NETs)。通过三种机器学习算法(最小绝对收缩年龄和选择算子(LASSO)算法、随机森林(RF)和支持向量机递归特征消除(SVM-RFE))识别诊断基因。将三种算法的结果整合以鉴定nets相关诊断基因(NDGs)。建立了基于NDGs的临床诊断预测模型,并通过校准曲线、临床影响曲线(CIC)、决策曲线分析(DCA)和受试者工作特征曲线(ROC)对其性能进行评价,以评价其鉴别能力和临床应用价值。对UC患者结肠组织进行免疫组化(IHC)检查。构建dss诱导UC小鼠模型,采用qRT-PCR、Western-blot和免疫组化检测小鼠结肠组织中NDG的表达。结果:GSEA和免疫浸润分析显示,UC组IL-17信号通路、细胞因子-细胞因子受体相互作用、TNF信号通路等免疫相关通路显著富集,免疫细胞浸润增强。通过交叉deg、WGCNA关键模块基因和nets相关基因鉴定出14个基因。利用三种机器学习方法鉴定IL-1β、MMP-9和CXCR2为NDGs。构建基于NDGs的UC临床诊断预测模型,该模型在训练集的AUC值为0.9715,在外部验证集的AUC值分别为0.9595和0.9597。NDGs与肥大细胞、中性粒细胞、静息NK细胞、M1巨噬细胞、Tregs和嗜酸性粒细胞呈显著正相关。临床样本的免疫组化分析显示,UC患者结肠中NDGs高表达。从临床样本的IHC评分构建临床相关nomogram,显示AUC为100%。在dss诱导的UC小鼠模型中,与正常对照小鼠相比,NDG表达上调。根据小鼠组织的IHC评分构建小鼠相关图,AUC也为100%。结论:我们构建了基于IL-1β、MMP-9和CXCR2的UC临床诊断预测模型,并在临床患者和动物模型中验证了NDGs对UC的预测能力。该模型具有良好的诊断效率,可为UC的临床诊断提供新的思路。
{"title":"Diagnostic potential of neutrophil extracellular traps in ulcerative colitis: a gene-based predictive model.","authors":"Haijian Liang, Ying Xu, Xuan Zhang, Zhongyang Han, Junfeng Zhu","doi":"10.1007/s11010-025-05446-1","DOIUrl":"https://doi.org/10.1007/s11010-025-05446-1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Neutrophil extracellular traps (NETs), web-like structures released by neutrophils during the process NETosis, aiding in gut mucosal defense against microbial infections but potentially exacerbating inflammation and tissue damage. In Ulcerative Colitis (UC), NET formation is increased and may contribute to gut inflammation. However, the role of NETs in diagnosis of UC remains unclear. This study aims to identify NETs-related genes with diagnostic potential in UC and to develop a diagnostic predictive model based on these genes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method: &lt;/strong&gt;The transcriptome dataset of UC retrieved from the GEO database. Differential expression analysis and Gene Set Enrichment Analysis (GSEA) were performed on the training set using R software. The \"CIBERSORT\" algorithm was utilized to evaluate the immune cell infiltration in UC. Subsequently, differentially expressed NETs (DE-NETs) were identified by intersecting key module genes from Weighted Gene Co-Expression Network Analysis (WGCNA), NETs-related genes, and differentially expressed genes (DEGs). The diagnostic genes were identified through three machine learning algorithms (Least Absolute Shrink-age And Selection Operator (LASSO) algorithm, Random Forests (RF) and Support Vector Machine-Recursive Feature Elimination (SVM-RFE)). The results of the three algorithms were integrated to identify NETs-related diagnostic genes (NDGs). A clinical diagnostic predictive model was constructed based on NDGs, and its performance was assessed using calibration curves, Clinical Impact Curve (CIC), Decision Curve Analysis (DCA), and Receiver Operating Characteristic Curve (ROC) to evaluate its discrimination ability and clinical utility. Immunohistochemical (IHC) examination was performed on colon tissue from UC patients. Additionally, a DSS-induced UC mouse model was constructed, and NDG expression in mouse colon tissues was analyzed by qRT-PCR, Western-blot, and IHC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The UC group exhibits significant enrichment of immune-related pathways, including the IL-17 signaling pathway, cytokine-cytokine receptor interactions, and TNF signaling pathway, as well as enhanced infiltration of immune cells, as demonstrated by GSEA and immune infiltration analysis. Fourteen genes were identified through intersecting DEGs, key module genes in WGCNA, and NETs-related genes. The identification of IL-1β, MMP-9 and CXCR2 as NDGs was using three machine learning methods. The clinical diagnostic predictive model of UC based on NDGs was constructed, and the AUC value of the model was 0.9715 in the training set, and 0.9595 and 0.9597 in external validation sets, respectively. Significant positive correlations were found between NDGs and Mast cells, Neutrophils, resting NK cells, M1 Macrophages, Tregs and Eosinophils. IHC analysis of clinical samples shows high expression of NDGs in the colon of UC patients. A clinical-associated nomogram was constructed from the IHC","PeriodicalId":18724,"journal":{"name":"Molecular and Cellular Biochemistry","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PACS2/PKCα/NOX4 pathway damaged the renal vascular endothelial barrier by promoting ROS production in diabetic nephropathy mice. PACS2/PKCα/NOX4通路通过促进糖尿病肾病小鼠ROS的产生破坏肾血管内皮屏障。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-07 DOI: 10.1007/s11010-025-05363-3
Xinru Zheng, Qianjun Zhu, Jie Ouyang, Jing Zhang, Quanjun Liu, Jianing Fan, Peng Gao, Haijiao Long, Hong Xiang, Hongwei Lu

Renal vascular endothelial barrier dysfunction plays an important role in the pathogenesis of diabetic nephropathy (DN). Reactive oxygen species (ROS) contribute to barrier dysfunction in various aspects of diabetes. Phosphofurin acidic cluster sorting protein 2 (PACS2) is related to the ROS production, but the specific signaling pathway in endothelial cells remains unclear. In this study, we explored the mechanistic function of PACS2 and its downstream PKCα/NOX4 signaling pathway in endothelial barrier damage in DN. A significant upregulation of PACS2 expression was observed in human umbilical vein endothelial cells treated with high glucose and palmitic acid and glomerular endothelial cells derived from STZ + HFD-induced DN mice. SiRNA-mediated silencing or knockdown of PACS2 reversed the impaired vascular barrier function in vivo and in vitro. Furthermore, the inhibition of PACS2 significantly downregulated the protein expression of PKCα and NOX4 protein and the production of ROS in endothelial cells. Collectively, our findings indicate that the PACS2/PKCα/NOX4 signaling pathway may participate in the pathogenesis of DN by regulating vascular endothelial barrier function.

肾血管内皮屏障功能障碍在糖尿病肾病(DN)的发病机制中起重要作用。活性氧(ROS)在糖尿病的各个方面都有助于屏障功能障碍。磷酸氟酸簇分选蛋白2 (Phosphofurin acid cluster sorting protein 2, PACS2)与ROS的产生有关,但其在内皮细胞中的具体信号通路尚不清楚。在本研究中,我们探讨了PACS2及其下游PKCα/NOX4信号通路在DN内皮屏障损伤中的机制作用。在高糖和棕榈酸处理的人脐静脉内皮细胞和STZ + hfd诱导的DN小鼠肾小球内皮细胞中,PACS2的表达显著上调。在体内和体外,sirna介导的PACS2沉默或敲低逆转了受损的血管屏障功能。此外,抑制PACS2可显著下调内皮细胞中PKCα和NOX4蛋白的表达以及ROS的产生。总之,我们的研究结果表明,PACS2/PKCα/NOX4信号通路可能通过调节血管内皮屏障功能参与DN的发病过程。
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引用次数: 0
Mitochondrial dysfunction in hepatocellular carcinoma: from metabolism to targeted therapies. 肝癌线粒体功能障碍:从代谢到靶向治疗。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-30 DOI: 10.1007/s11010-025-05377-x
Faezeh Sharafi, Elham Rismani, Mohamad Rhmanian, Arezoo Khosravi, Ali Zarrabi, Massoud Vosough

Globally, liver cancer is reported to be the third leading cause of cancer-related mortality. The most common type of these cancers is hepatocellular carcinoma (HCC). Current preventive strategies, including lifestyle modifications, antiviral therapies, and surveillance, are limited in their effectiveness. Mitochondria play critical roles in regulating cellular metabolism, oxidative stress, and apoptosis. Mitochondrial dysfunction can accelerate HCC progression, particularly in patients with liver diseases such as metabolic-associated fatty liver disease (MAFLD) and metabolic dysfunction-associated steatohepatitis (MASH). In this review, we discuss the mechanisms of mitochondrial dysfunction in HCC from a molecular point of view, including oxidative stress, mitophagy dysregulation, mitochondrial dynamics dysregulation, and mitochondrial DNA (mtDNA)-mediated dysregulation of innate immune responses. Additionally, we explore molecular-targeted therapies aimed at restoring mitochondrial function. Critical approaches include targeting reactive oxygen species pathways through agents such as iridium (III) complexes and Mito Rh S, which induce cancer cell death through apoptosis and ferroptosis. Other compounds, including dehydrocrenatidine, enhance oxidative phosphorylation and promote apoptosis. Inhibitors of dynamin-related protein 1 (Drp1) target mitochondrial fission to reduce tumor growth. Furthermore, mitophagy modulators, such as SIRT1 activators, improve mitochondrial quality control, minimize the negative effects of oxidative stress, and reduce cancer development. Clinical trials are ongoing for the mitochondrial enzyme-targeting agents CPI-613 and Gamitrinib, a heat shock protein-targeting agent, which have hence shown great promise for these therapies. With further investigation, mitochondrial-targeted interventions could be promising for preventing or reducing HCC incidence and recurrence, increasing long-term survival, and improving the quality of life of patients with advanced-stage disease.

据报道,在全球范围内,肝癌是癌症相关死亡的第三大原因。这些癌症最常见的类型是肝细胞癌(HCC)。目前的预防策略,包括改变生活方式、抗病毒治疗和监测,其有效性有限。线粒体在调节细胞代谢、氧化应激和细胞凋亡中起着重要作用。线粒体功能障碍可加速HCC进展,特别是在患有代谢相关脂肪性肝病(MAFLD)和代谢功能障碍相关脂肪性肝炎(MASH)等肝脏疾病的患者中。在这篇综述中,我们从分子角度讨论了HCC中线粒体功能障碍的机制,包括氧化应激、线粒体自噬失调、线粒体动力学失调和线粒体DNA (mtDNA)介导的先天免疫反应失调。此外,我们探索旨在恢复线粒体功能的分子靶向治疗。关键的方法包括通过铱(III)复合物和Mito Rh S等药物靶向活性氧途径,它们通过细胞凋亡和铁凋亡诱导癌细胞死亡。其他化合物,包括脱氢骨碱,增强氧化磷酸化和促进细胞凋亡。动力蛋白相关蛋白1 (Drp1)抑制剂靶向线粒体裂变以减少肿瘤生长。此外,线粒体自噬调节剂,如SIRT1激活剂,改善线粒体质量控制,最大限度地减少氧化应激的负面影响,并减少癌症的发展。线粒体酶靶向药物CPI-613和热休克蛋白靶向药物Gamitrinib的临床试验正在进行中,因此在这些治疗中显示出很大的希望。随着进一步的研究,线粒体靶向干预有望预防或减少HCC的发病率和复发,增加长期生存率,并改善晚期疾病患者的生活质量。
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引用次数: 0
AMPK/mTOR balance during exercise: implications for insulin resistance in aging muscle. 运动过程中AMPK/mTOR平衡:对衰老肌肉胰岛素抵抗的影响
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-04 DOI: 10.1007/s11010-025-05362-4
Xie Mingzheng, Weng You

Age-related reductions in skeletal muscle insulin responsiveness promote metabolic dysregulation and contribute to an elevated probability of type 2 diabetes onset. The malfunction of nutrient-responsive signaling routes, specifically AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR), constitutes a central component of this biological process. The integrated activity of these kinases in controlling energy dynamics, protein formation, and glucose processing is fundamental to ensure metabolic homeostasis in skeletal muscle tissue. Through its modulation of AMPK and mTOR pathways, exercise helps reinstate signaling equilibrium and supports better insulin efficacy in aging skeletal muscle. This review explores the molecular mechanisms by which different forms of exercise-endurance, resistance, and combined training-modulate the AMPK/mTOR axis in aging muscle. This analysis focuses on exercise-induced AMPK signaling as a catalyst for mitochondrial development, enhanced glucose processing, and intensified fatty acid breakdown, while also temporally coordinating mTOR activity to support muscle maintenance without exacerbating insulin resistance. By integrating insights from aging biology, exercise physiology, and molecular metabolism, this review highlights the therapeutic potential of targeting AMPK/mTOR signaling through physical activity to combat insulin resistance in the elderly.

年龄相关的骨骼肌胰岛素反应性降低会促进代谢失调,并导致2型糖尿病发病的概率升高。营养反应信号通路的故障,特别是amp激活的蛋白激酶(AMPK)和雷帕霉素的机制靶点(mTOR),构成了这一生物过程的核心组成部分。这些激酶在控制能量动力学、蛋白质形成和葡萄糖加工中的综合活性是确保骨骼肌组织代谢稳态的基础。通过调节AMPK和mTOR通路,运动有助于恢复信号平衡,并支持老化骨骼肌更好的胰岛素功效。本文探讨了不同形式的运动——耐力、阻力和联合训练——在衰老肌肉中调节AMPK/mTOR轴的分子机制。本研究的重点是运动诱导的AMPK信号作为线粒体发育、增强葡萄糖加工和强化脂肪酸分解的催化剂,同时也暂时协调mTOR活性以支持肌肉维持而不加剧胰岛素抵抗。通过整合衰老生物学、运动生理学和分子代谢的见解,本综述强调了通过身体活动靶向AMPK/mTOR信号以对抗老年人胰岛素抵抗的治疗潜力。
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引用次数: 0
Intermittent fasting and exercise: a dual intervention for orchestrating glycolipid conversion and utilization in healthy mice. 间歇性禁食和运动:协调健康小鼠糖脂转化和利用的双重干预。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-25 DOI: 10.1007/s11010-025-05372-2
Xueping Wu, Jian Shi, Junming Wang, Weiye Li, Jingxin Chen, Ruiying Lyu, Chunhong Liu

Intermittent fasting (IF) and exercise can reverse the impaired glycolipid conversion ability caused by obesity. However, the effects of IF and exercise combination on glycolipid conversion ability in normal individuals remain to be determined. In this study, male KM mice were subjected to IF (including alternate-day fasting (ADF), time-restricted fasting (TRF)), treadmill exercise, and a combination of the two interventions for 6 weeks. The effects of two IF models combined exercise on glycolipid conversion in mice were investigated by detecting serum biochemical indexes, and the expressions of genes and proteins closely related to the glycolipid conversion pathway in liver, gastrocnemius, and inguinal adipose tissue. The results showed that IF combined with exercise significantly reduced fasting blood glucose, glycated serum protein and liver glycogen levels in mice. TRF combined with exercise significantly decreased triglyceride levels in serum, liver and gastrocnemius. IF combined with exercise activated the ChREBP or SREBP1/FASN pathways to enhance the transcriptional activation of the glucose-mediated adipogenesis pathway, and simultaneously promoted the expression of fatty acid oxidation proteins and reduced liver gluconeogenesis genes expression, collectively improving lipid metabolic efficiency. Furthermore, IF increased the expression of glycogen turnover-related protein PPP1R3C and adipose thermogenesis-related protein UCP1 in the inguinal adipose tissue, indicating enhanced glycogen flux coordination with adipose thermogenic activation. In conclusion, IF combined with exercise orchestrates the glycolipid conversion and substrate utilization.

间歇性禁食(IF)和运动可以逆转由肥胖引起的糖脂转化能力受损。然而,干扰素和运动结合对正常人糖脂转化能力的影响仍有待确定。在这项研究中,雄性KM小鼠进行了为期6周的IF(包括隔日禁食(ADF),限时禁食(TRF)),跑步机运动,以及两种干预措施的组合。通过检测小鼠血清生化指标及肝脏、腓肠肌和腹股沟脂肪组织中糖脂转化途径密切相关基因和蛋白的表达,探讨两种IF模型联合运动对小鼠糖脂转化的影响。结果表明,IF与运动结合可显著降低小鼠空腹血糖、糖化血清蛋白和肝糖原水平。TRF联合运动可显著降低血清、肝脏和腓肠肌的甘油三酯水平。IF联合运动激活ChREBP或SREBP1/FASN通路,增强葡萄糖介导的脂肪生成通路的转录激活,同时促进脂肪酸氧化蛋白表达,降低肝脏糖异生基因表达,共同提高脂质代谢效率。此外,IF增加了腹沟脂肪组织中糖原转化相关蛋白PPP1R3C和脂肪生热相关蛋白UCP1的表达,表明糖原通量与脂肪生热激活的协调增强。综上所述,IF与运动相结合可以协调糖脂转化和底物利用。
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引用次数: 0
FABP3 deficiency exacerbates renal Randall plaque formation: insights from single-cell RNA transcriptomic analysis. FABP3缺乏加剧肾兰德尔斑块形成:单细胞RNA转录组学分析的见解。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 DOI: 10.1007/s11010-025-05448-z
Muhammad Sarfaraz Iqbal, Xiaolu Duan, Kotb A Attia, Ghulam Nabi, Kaoqing Peng, Nimra Sardar, Di Gu, Guohua Zeng, Nada S Al-Theyab
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引用次数: 0
A review on the epigenetic regulation of testosterone synthesis in Leydig cells. 间质细胞睾酮合成的表观遗传调控研究进展。
IF 3.7 2区 生物学 Q3 CELL BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1007/s11010-025-05366-0
Haoran Xu, Jing Zhao, Wenfa Lyu, Jun Wang

Epigenetics studies heritable changes in gene expression without altering the DNA sequence and is involved in diverse biological processes. In male reproduction, Leydig cells, the main site of testosterone synthesis, play an important role in maintaining the reproductive process. However, the role of epigenetics in the mechanism of testosterone synthesis in Leydig cells is still not well understood. This review systematically describes how classic epigenetic modifications such as DNA methylation, RNA methylation, histone modification, and non-coding RNA regulate the testosterone synthesis process of Leydig cells in different species. Accumulating evidences revealed that epigenetics can regulate the process of testosterone synthesis in Leydig cells. In future, we aim to provide new ideas for male reproduction by investigating the relationship between testosterone synthesis mechanisms and epigenetics.

表观遗传学研究在不改变DNA序列的情况下基因表达的可遗传变化,并涉及多种生物过程。在雄性生殖中,间质细胞是睾酮合成的主要部位,在维持生殖过程中起着重要作用。然而,表观遗传学在间质细胞中睾酮合成机制中的作用尚不清楚。本文系统地介绍了DNA甲基化、RNA甲基化、组蛋白修饰和非编码RNA等经典表观遗传修饰如何调节不同物种间质细胞的睾酮合成过程。越来越多的证据表明,表观遗传学可以调节间质细胞的睾酮合成过程。未来,我们的目标是通过研究睾酮合成机制与表观遗传学的关系,为男性生殖提供新的思路。
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引用次数: 0
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Molecular and Cellular Biochemistry
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