It is believed that postponing ageing is more effective and less expensive than the treatment of particular age-related diseases. Compounds which could delay symptoms of ageing, especially natural products present in a daily diet, are intensively studied. One of them is curcumin. It causes the elongation of the lifespan of model organisms, alleviates ageing symptoms and postpones the progression of age-related diseases in which cellular senescence is directly involved. It has been demonstrated that the elimination of senescent cells significantly improves the quality of life of mice. There is a continuous search for compounds, named senolytic drugs, that selectively eliminate senescent cells from organisms. In this paper, we endeavor to review the current knowledge about the anti-ageing role of curcumin and discuss its senolytic potential.

Background/Objectives: In the context of accelerating climate change and growing food insecurity, improving crop resilience to abiotic stresses such as drought, salinity, heat, and cold is a critical agricultural and scientific challenge. Understanding the biochemical mechanisms that underlie plant stress responses is essential for developing resilient crop varieties This review aims to provide an integrative overview of how metabolomics can elucidate biochemical mechanisms underlying stress tolerance and guide the development of stress-resilient crops. Methods: We reviewed the recent literature on metabolomic studies addressing abiotic stress responses in various crop species, focusing on both targeted and untargeted approaches using platforms such as nuclear magnetic resonance (NMR), liquid chromatography–mass spectrometry (LC-MS), and gas chromatography–mass spectrometry (GC-MS). We also included emerging techniques such as capillary electrophoresis–mass spectrometry (CE-MS), ion mobility spectrometry (IMS-MS), Fourier transform infrared spectroscopy (FT-IR), and data-independent acquisition (DIA). Additionally, we discuss the integration of metabolomics with transcriptomics and physiological data to support system-level insights. Results: The reviewed studies identify common stress-responsive metabolites, including osmoprotectants, antioxidants, and signaling compounds, which are consistently linked to enhanced tolerance. Novel metabolic biomarkers and putative regulatory hubs are highlighted as potential targets for molecular breeding and bioengineering. We also address ongoing challenges related to data standardization and reproducibility across analytical platforms. Conclusions: Metabolomics is a valuable tool for advancing our understanding of plant abiotic stress responses. Its integration with other omics approaches and phenotypic analyses offers promising avenues for improving crop resilience and developing climate-adaptive agricultural strategies.

Senescence of cancer cells is an important outcome of treatment of many cancer types. Cell senescence is a permanent cell cycle arrest induced by stress conditions, including DNA damage. DNA damage activates DNA damage response (DDR), which involves members of the phosphatidylinositol 3-kinase-related kinase (PIKK) superfamily: protein kinases ATM, ATR, and DNA-PKcs. The so-far collected data indicate that ATM, with its downstream targets CHK2, p53, and p21, is the key protein involved in DDR-dependent senescence. It was also documented that the so-called senescence-associated secretory phenotype-SASP relies on ATM/CHK2, and not on p53 signaling. Moreover, genotoxic agents used in cancer treatment can activate NF-κB, which also induces transcription of SASP genes. In this paper, we have studied the involvement of three PIKK family members in colon cancer cell senescence and connection between DNA-damage-induced senescence and NF-κB-regulated SASP in p53-proficient and p53-deficient colon cancer cells treated with doxorubicin. We showed that doxorubicin induced cell senescence in both p53+/+ and p53−/− HCT116 cells, proving that this process is p53-independent. Senescence was successfully abrogated by a PIKK inhibitor, caffeine, or by simultaneous silencing of three PIKKs by specific siRNAs. By silencing individual members of PIKK family and analyzing common markers of senescence, the level of p21 and SA-β-Gal activity, we came to the conclusion that ATR kinase is crucial for the onset of senescence as, in contrast to ATM and DNA-PKsc, it could not be fully substituted by other PIKKs. Moreover, we showed that in case of silencing the three PIKKs, there was no SASP reduction accompanying the decrease in the level of p21 and SA-β-Gal (Senescence-Associated-β-Galactosidase) activity; whereas knocking down the NF-κB component, p65, abrogated SASP, but did not affect other markers of senescence, proving that DNA damage regulated senescence independently and NF-κB evoked SASP.

Powdery mildew, predominantly caused by Podosphaera xanthii and Golovinomyces orontii, presents a major constraint to cucurbitaceous crop production worldwide. Despite intensive research, the complex interplay between pathogen virulence factors and host immune responses remains only partially understood. Recent advances in genomics, transcriptomics, and gene editing technologies have shed light on key molecular mechanisms underlying host susceptibility, quantitative resistance, and potential durable control strategies. In this review, we summarize the biology of powdery mildew fungi infecting cucurbits, the latest findings on pathogen effectors, plant defense signaling, and the genetic basis of resistance. We also discuss novel breeding and biotechnological approaches for durable powdery mildew resistance and outline future directions for integrative disease management strategies.

Machine learning has become an important tool in plant genomic prediction for modeling complex genotype–phenotype relationships and improving breeding decisions. However, many high-performing models, particularly ensemble and deep learning approaches, remain difficult to interpret, limiting their biological applicability. This review summarizes major machine learning methods and explainable artificial intelligence (XAI) approaches used in plant genomics, including SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-Agnostic Explanations), attention mechanisms, permutation importance, tree-based feature importance, and gradient-based attribution methods. XAI can help identify influential SNPs, genomic regions, candidate genes, regulatory elements, and omics features associated with complex traits. For example, SHAP analysis in an almond germplasm collection identified a genomic region associated with shelling fraction, illustrating how XAI can generate testable hypotheses for further validation. The review further discusses applications in trait prediction, breeding, functional genomics, and multi-omics integration. Importantly, we emphasize major limitations, including data bias, model instability, correlated genomic markers, limited model transferability, and the common misconception that feature importance implies biological causality. We recommend integrating XAI with linkage disequilibrium pruning, stability assessment, biological annotation, and experimental validation before prioritizing candidate genes. Overall, XAI should be considered a framework for model interpretation, feature prioritization, and hypothesis generation rather than a replacement for experimental validation in plant genomics and breeding.

Aging of the organism depends on many factors. One of them is cell senescence, which was first described in the 1960s by Leonard Hayflick, who analyzed fibroblasts cultured in vitro. Further research has shown that cells undergo senescence in the body and, as we age, accumulate in tissues. Senescent cells are characterized by significantly changed morphology, dysfunction of various organelles and altered metabolism. Accordingly, senescent cells acquire new features, that define their role in the aging. One of the most important features of senescent cells is the ability to secrete various types of biologically active factors, that contribute to chronic inflammation and cause tissue and organ dysfunction. Research in recent years has proven that, thanks to pharmacological intervention, it is possible to remove senescent cells from the tissue. This intervention enables to develop new therapeutic strategies aimed at treating age-related diseases and to extent the healthspan of older people.