Mitochondrial Peroxiredoxins and Monoamine Oxidase-A: Dynamic Regulators of ROS Signaling in Cardioprotection DOI Creative Commons
Miroslav Ferko, Petra Alánová,

D Janko

и другие.

Physiological Research, Год журнала: 2024, Номер unknown, С. 887 - 900

Опубликована: Дек. 31, 2024

An excessive increase in reactive oxygen species (ROS) levels is one of the main causes mitochondrial dysfunction. However, when ROS are maintained balance with antioxidant mechanisms, fulfill role signaling molecules and modulate various physiological processes. Recent advances bioenergetics research have revealed a significant interplay between peroxiredoxins (PRDXs) monoamine oxidase-A (MAO-A) regulating levels. Both proteins associated hydrogen peroxide (H2O2), MAO-A as producer PRDXs primary scavengers H2O2. This review focuses on currently available knowledge function these their interaction, highlighting importance oxidative damage, apoptosis, metabolic adaptation heart. not only scavenge excess H2O2, but also act regulatory proteins, play an active redox signaling, maintain membrane integrity. Overexpression increased leading to dysfunction subsequent progression cardiovascular diseases (CVD), including ischemia/reperfusion injury heart failure. Considering central damage pathogenesis many CVD, targeting activation inhibition may offer new therapeutic strategies aimed at improving cardiac under conditions pathological load related damage. Keywords: Mitochondria, Peroxiredoxin, Monoamine oxidase-A, Reactive species, Cardioprotective signaling.

Язык: Английский

Epitranscriptomic regulation of HIF-1: bidirectional regulatory pathways DOI Creative Commons

Daniel Benák,

Petra Alánová, Kristýna Holzerová

и другие.

Molecular Medicine, Год журнала: 2025, Номер 31(1)

Опубликована: Март 18, 2025

Abstract Background Epitranscriptomics, the study of RNA modifications such as N 6 -methyladenosine (m A), provides a novel layer gene expression regulation with implications for numerous biological processes, including cellular adaptation to hypoxia. Hypoxia-inducible factor-1 (HIF-1), master regulator response low oxygen, plays critical role in adaptive and pathological cancer, ischemic heart disease, metabolic disorders. Recent discoveries accent dynamic interplay between m A HIF-1 signaling, revealing complex bidirectional regulatory network. While roles other remain largely unexplored, emerging evidence suggests their potential significance. Main body This review examines reciprocal epitranscriptomic machinery, writers, readers, erasers. modulates key components, while its own mRNA is regulated by modifications, positioning both target this system. interaction enhances our understanding hypoxic responses opens avenues clinical applications treating conditions like cancer disease. Promising progress has been made developing selective inhibitors targeting A-HIF-1 axis. However, challenges off-target effects complexity modification dynamics significant barriers translation. Conclusion The intricate highlights epitranscriptomics hypoxia-driven processes. Further research into these networks could drive therapeutic innovation hypoxia-related conditions. Overcoming specificity will be essential realizing therapies.

Язык: Английский

Процитировано

0

Mitochondrial Bioenergetics in Physiology DOI
Martin Jastroch, Michaela Keuper

Acta Physiologica, Год журнала: 2025, Номер 241(6)

Опубликована: Май 19, 2025

Язык: Английский

Процитировано

0

Identification of autophagy-related genes in intestinal ischemia-reperfusion injury and their role in immune infiltration DOI Creative Commons
Yichen Hu,

Qinghua Zou,

Yanbo Sun

и другие.

Frontiers in Physiology, Год журнала: 2025, Номер 16

Опубликована: Май 26, 2025

Background Intestinal ischemia-reperfusion (II/R) injury is a serious condition characterized by high morbidity and mortality rates. Research has shown that II/R closely linked to autophagy immune dysregulation. This study aims investigate the potential correlations between autophagy-related genes infiltrating cells in injury. Methods GSE96733, GSE37013, were obtained from Gene Expression Omnibus (GEO) Human Autophagy Database, respectively. Subsequently, biological functions of differentially expressed (DEGs) explored through DEGs analysis, Kyoto Encyclopedia Genes Genomes (KEGG) Ontology (GO) analysis. Using R software, human converted their mouse homologous (ARGs). The then intersected with ARGs obtain (DEARGs). To identify hub genes, protein-protein interaction (PPI) network Lasso regression, random forest methods employed. A nomogram model was constructed assess its diagnostic value. Following this, infiltration analysis performed evaluate correlation Hub cell infiltration. Additionally, gene-related constructed, drugs targeting for treatment predicted. Finally, expression levels validated dataset verification quantitative real-time polymerase chain reaction (qRT-PCR). Results Our identified 11 DEARGs. Among these, 5 DEARGs (Myc, Hif1a, Zfyve1, Sqstm1, Gabarapl1) as genes. demonstrated excellent Immune indicated these are associated dendritic M2.Macrophage. Furthermore, regulatory illustrated complex relationship microRNAs (miRNAs) trigonelline niacinamide predicted therapeutic agents In both validation qRT-PCR validation, four showed consistency results bioinformatics Conclusion Myc, Gabarapl1 have been These may represent targets

Язык: Английский

Процитировано

0

Unveiling the proteome of the fasting heart: Insights into HIF-1 pathway regulation DOI Creative Commons

Daniel Benák,

Kristýna Holzerová, František Kolář

и другие.

Frontiers in Physiology, Год журнала: 2024, Номер 15

Опубликована: Окт. 14, 2024

Fasting is a common dietary intervention known for its protective effects against metabolic and cardiovascular diseases. While are mostly systemic, understanding tissue-specific changes in the heart crucial identification of mechanisms underlying fasting-induced cardioprotection. In this study, we performed proteomic analysis fasting attempted to clarify molecular basis Our investigation identified total 4,652 proteins, with 127 exhibiting downregulation 118 showing upregulation after fasting. Annotation highlighted significant processes such as lipid metabolism, peroxisome pathway, reactive oxygen species metabolism. Notably, HIF-1 signaling pathway emerged one focal points, various targets differential responses Further experiments demonstrated HIF-1α at both transcript protein levels. Intriguingly, while gene expression Egln3 decreased, product PHD3 remained unaffected by The unchanged levels pro-inflammatory cytokines indicated that observed reduction Hif1a did not stem from decrease basal inflammation. These findings underscore complex regulation well-established cardioprotective within during 3-day

Язык: Английский

Процитировано

2

Sodium Orthovanadate Mitigates Nonalcoholic Fatty Liver Disease by Enhancing Autophagy DOI Open Access
Xudong Zhang, Haiyang Zhou, Zhijun Kong

и другие.

Biological and Pharmaceutical Bulletin, Год журнала: 2024, Номер 47(10), С. 1786 - 1795

Опубликована: Окт. 30, 2024

Sodium orthovanadate (SOV) has been investigated in recent research for its therapeutic efficacy treating metabolic disorders. Considering the rising prevalence of non-alcoholic fatty liver disease (NAFLD), effects SOV on NAFLD remain to be further investigated. The aim this study was investigate role and mechanism NAFLD. Two mouse models were established by induction with high fat diet (HFD) Western supplemented sugar drinking water (WDS), respectively. We searched downstream molecules RNA sequencing, followed rescue experiments an autophagy inhibitor (3-MA) HepG2 cells as well animal models. results showed that HFD WDS-induced models, significantly reduced body weight, inhibited lipid deposition, lowered serum triglyceride cholesterol levels. Then sequencing RT-PCR found effect might related activation coregulated hypoxia-inducible factor 1 autophagy-related gene 5. protective SOV-activated blocked 3-MA, leading restoration deposition vitro vivo. conclude could activate cell autophagy, thereby improving metabolism during course Our findings revealed potential controlling

Язык: Английский

Процитировано

1

How to visualize high‐dimensional data DOI
Ralf Mrowka, Ralf Schmauder

Acta Physiologica, Год журнала: 2024, Номер 240(10)

Опубликована: Авг. 19, 2024

Recently, a colleague asked after lecture about fancy diagram where the axis designation was not clear to him and discussion that raised few interesting thoughts specific matter. Physiological knowledge is often taught at university seminars in textbooks with help of diagrams. A very important first step when discussing diagrams clarify which physical, physiological variable what scale unit represented on axis. Examples typical classical low dimensional physiology publications Acta Physiologica might be blood pressure over time,1 infarct size as percentage Left ventricular mass depending genotype2 or urine excretion volume per time diet.3 Not knowing axes diagrams, they well "just" pieces modern art. We strongly believe graphical representation complex data—for example, diagrams—is essential communicating them. However, for types understanding interpretation their content more complex, requires explanation than Specifically, we refer high-dimensional data, have, recent years, played an increasing role new understandings processes. To visualize data reduction dimensionality applied. simple example black/white photograph colorful moving three object. The snapshot "eliminated" dimension optical projection plane camera eliminated one space gray values just reduced spectral information intensity value photograph. Although does represent compete "dataset" it gives us most cases good impression situation captured by photographer. Times have changed. describe "amount" obtained study 1960s physiologist referred length paper plots curved measurements he analyzing particular study. Compared amount back then are nowadays faced completely situation. With development technology handle huge today. For studies single RNAseq scientists thousands expression genes each cells multiple experimental points possibly interventions. Obviously you cannot produce meaningful plot dimensions. In order make sense out hugely researches can employ methods dimensionality. One would so called principal component analysis (PCA). This linear method projects onto coordinate system (principal components) directions maximum variance. Without diving too deep into mathematics, this done calculating eigenvectors matrix. It turned PCA its transformation sufficient above described case. Here statistical approaches nonlinear been developed. t-Distributed Stochastic Neighbor Embedding (t-SNE) method4 later kind improved version Uniform Manifold Approximation Projection (UMAP).5 Both techniques used visualizing data. features regarding that, unlike well-defined physical quantities such voltage axes, t-SNE UMAP abstract interpretations. positions reflect (probability)-relationships between individual original space, whereby find clustered clouds. clouds close together considered similar closely related space. When comparing UMAP, differentiate local structure global diagram. preserves is, diagram, cluster point higher However accurately preserved method. main comes play. aims preserve both structures effectively Therefore, suitable feature topology relevant interpretation. case lineage stem cell maturation. illustrate performance generated datasets them all tree (Figure 2). also possible perform analysis.6 widely field neurophysiology,7 immunology,8 cancer9, 10 infectious diseases like COVID-19.11 Taken together, applied far. Clusters revealed usage literature has growing steadily scientific since publication 1). meaning straightforward compared traditional physiology, spread showing variance what? mapping while scales neighboring relationships aimed preserve. better preserving scales; however, cautious distances clusters due transformations. There efforts further improve those methods.12 will see whether resonance application community. come beginning: please remember take second explain your show presentation. As rather interdisciplinary develop rapidly, likely part audience otherwise admiring beautiful graphic Generation displayed Figure 2: set (upper row) array 200 5 mean 1, 2, 3, 4, 0.8 standard deviation. (middle accordingly means 8, 16 deviation 0.5 mean. third (lower 10, 100, 1000, 000 deviations equal Data graphs were using R software 4.4.0 (2024-04-24) library RtSNE,13 ggplot2, umap14 default parameters. RM did statistics pubmed occurences. RS anaysis figure 2. wrote initial text. authors edited final manuscript. project these results based funded FreeState Thuringia under number 2018 IZN0002 (Thimedop) co-financed funds from European Union within framework Regional Development Fund (EFRE). Another Carl Zeiss Foundation. None.

Язык: Английский

Процитировано

0

Andrographolide Attenuates Myocardial Ischemia–Reperfusion Injury in Mice by Up-Regulating PPAR-α DOI

Shenjie Zhang,

Ying Ye,

Qi Li

и другие.

Inflammation, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 25, 2024

Язык: Английский

Процитировано

0

Mitochondrial Peroxiredoxins and Monoamine Oxidase-A: Dynamic Regulators of ROS Signaling in Cardioprotection DOI Creative Commons
Miroslav Ferko, Petra Alánová,

D Janko

и другие.

Physiological Research, Год журнала: 2024, Номер unknown, С. 887 - 900

Опубликована: Дек. 31, 2024

An excessive increase in reactive oxygen species (ROS) levels is one of the main causes mitochondrial dysfunction. However, when ROS are maintained balance with antioxidant mechanisms, fulfill role signaling molecules and modulate various physiological processes. Recent advances bioenergetics research have revealed a significant interplay between peroxiredoxins (PRDXs) monoamine oxidase-A (MAO-A) regulating levels. Both proteins associated hydrogen peroxide (H2O2), MAO-A as producer PRDXs primary scavengers H2O2. This review focuses on currently available knowledge function these their interaction, highlighting importance oxidative damage, apoptosis, metabolic adaptation heart. not only scavenge excess H2O2, but also act regulatory proteins, play an active redox signaling, maintain membrane integrity. Overexpression increased leading to dysfunction subsequent progression cardiovascular diseases (CVD), including ischemia/reperfusion injury heart failure. Considering central damage pathogenesis many CVD, targeting activation inhibition may offer new therapeutic strategies aimed at improving cardiac under conditions pathological load related damage. Keywords: Mitochondria, Peroxiredoxin, Monoamine oxidase-A, Reactive species, Cardioprotective signaling.

Язык: Английский

Процитировано

0