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1.
Cells ; 13(8)2024 Apr 09.
Article En | MEDLINE | ID: mdl-38667274

Skin ageing is defined, in part, by collagen depletion and fragmentation that leads to a loss of mechanical tension. This is currently believed to reflect, in part, the accumulation of senescent cells. We compared the expression of genes and proteins for components of the extracellular matrix (ECM) as well as their regulators and found that in vitro senescent cells produced more matrix metalloproteinases (MMPs) than proliferating cells from adult and neonatal donors. This was consistent with previous reports of senescent cells contributing to increased matrix degradation with age; however, cells from adult donors proved significantly less capable of producing new collagen than neonatal or senescent cells, and they showed significantly lower myofibroblast activation as determined by the marker α-SMA. Functionally, adult cells also showed slower migration than neonatal cells. We concluded that the increased collagen degradation of aged fibroblasts might reflect senescence, the reduced collagen production likely reflects senescence-independent processes.


Cellular Senescence , Collagen , Fibroblasts , Skin , Humans , Fibroblasts/metabolism , Skin/metabolism , Skin/cytology , Adult , Collagen/metabolism , Extracellular Matrix/metabolism , Infant, Newborn , Aging/metabolism , Cell Proliferation , Matrix Metalloproteinases/metabolism , Cell Movement , Cells, Cultured , Middle Aged
3.
Subcell Biochem ; 102: 415-424, 2023.
Article En | MEDLINE | ID: mdl-36600142

The ageing process is highly complex involving multiple processes operating at different biological levels. Systems Biology presents an approach using integrative computational and laboratory study that allows us to address such complexity. The approach relies on the computational analysis of knowledge and data to generate predictive models that may be validated with further laboratory experimentation. Our understanding of ageing is such that translational opportunities are within reach and systems biology offers a means to ensure that optimal decisions are made. We present an overview of the methods employed from bioinformatics and computational modelling and describe some of the insights into ageing that have been gained.


Computational Biology , Systems Biology , Systems Biology/methods , Computational Biology/methods , Computer Simulation , Models, Biological
4.
Exp Gerontol ; 166: 111889, 2022 09.
Article En | MEDLINE | ID: mdl-35811018

The regulation of mitochondrial turnover under conditions of stress occurs partly through the AMPK-NAD+-PGC1α-SIRT1 signalling pathway. This pathway can be affected by both genomic instability and chronic inflammation since these will result in an increased rate of NAD+ degradation through PARP1 and CD38 respectively. In this work we develop a computational model of this signalling pathway, calibrating and validating it against experimental data. The computational model is used to study mitochondrial turnover under conditions of stress and how it is affected by genomic instability, chronic inflammation and biological ageing in general. We report that the AMPK-NAD+-PGC1α-SIRT1 signalling pathway becomes less responsive with age and that this can prime for the accumulation of dysfunctional mitochondria.


NAD , Sirtuin 1 , AMP-Activated Protein Kinases/metabolism , Aging/genetics , Aging/metabolism , Genomic Instability , Humans , Inflammation/genetics , Inflammation/metabolism , Mitochondria/metabolism , NAD/metabolism , Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha/metabolism , Sirtuin 1/genetics , Sirtuin 1/metabolism
5.
Mech Ageing Dev ; 207: 111709, 2022 Oct.
Article En | MEDLINE | ID: mdl-35868541

Ageing is widely believed to reflect the accumulation of molecular damage due to energetic costs of maintenance, as proposed in disposable soma theory (DST). Here we use agent-based modelling to describe an alternative theory by which ageing could undergo positive selection independent of energetic costs. We suggest that the selective advantage of aberrant cells with fast growth might necessitate a mechanism of counterselection we name selective destruction that specifically removes the faster cells from tissues, preventing the morbidity and mortality risks they pose. The resulting survival advantage of slower mutants could switch the direction of selection, allowing them to outcompete both fast mutants and wildtype cells, causing them to spread and induce ageing in the form of a metabolic slowdown. Selective destruction could therefore provide a proximal cause of ageing that is both consistent with the gene expression hallmarks of ageing, and independent of accumulating damage. Furthermore, negligible senescence would acquire a new meaning of increased basal mortality.

6.
Mech Ageing Dev ; 170: 30-36, 2018 03.
Article En | MEDLINE | ID: mdl-28837845

Cell senescence is an important driver of the ageing process. The accumulation of senescent cells in tissues is accelerated by stress signals from senescent cells that induce DNA damage and ultimately senescence in bystander cells. We examine here the interplay of senescence-associated mitochondrial dysfunction (SAMD)-driven production of reactive oxygen species (ROS) and senescence-associated secretory phenotype (SASP) in causing the bystander effect. We show that in various modes of fibroblast senescence ROS are necessary and sufficient to activate the transcription factor nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), which facilitates a large part of the SASP. This ROS-NF-κB axis causes the DNA damage response in bystander cells. Cytokines IL-6 and IL-8 are major components of the pro-inflammatory SASP in senescent fibroblasts. However, their activation in senescence is only partially controlled by NF-κB, and they are thus not strong candidates as intercellular mediators of the bystander effect as mediated by the ROS-NF-κB axis.


Bystander Effect , Cellular Senescence , DNA Damage , Fibroblasts/metabolism , NF-kappa B/metabolism , Reactive Oxygen Species/metabolism , Cell Line , Fibroblasts/pathology , Humans , Interleukin-6 , Interleukin-8 , Signal Transduction
7.
Aging Cell ; 11(2): 345-9, 2012 Apr.
Article En | MEDLINE | ID: mdl-22321662

Senescent cells produce and secrete various bioactive molecules including interleukins, growth factors, matrix-degrading enzymes and reactive oxygen species (ROS). Thus, it has been proposed that senescent cells can damage their local environment, and a stimulatory effect on tumour cell growth and invasiveness has been documented. However, it was unknown what effect, if any, senescent cells have on their normal, proliferation-competent counterparts. We show here that senescent cells induce a DNA damage response, characteristic for senescence, in neighbouring cells via gap junction-mediated cell-cell contact and processes involving ROS. Continuous exposure to senescent cells induced cell senescence in intact bystander fibroblasts. Hepatocytes bearing senescence markers clustered together in mice livers. Thus, senescent cells can induce a bystander effect, spreading senescence towards their neighbours in vitro and, possibly, in vivo.


Cellular Senescence , Bystander Effect , Cell Line , Coculture Techniques , DNA Damage , Hepatocytes/cytology , Hepatocytes/metabolism , Humans , Reactive Oxygen Species/metabolism
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