| Literature DB >> 33282895 |
Abstract
To date, chronic pulmonary pathologies represent the third leading cause of death in the elderly population. Evidence-based projections suggest that >65 (years old) individuals will account for approximately a quarter of the world population before the turn of the century. Genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication, are described as the nine "hallmarks" that govern cellular fitness. Any deviation from the normal pattern initiates a complex cascade of events culminating to a disease state. This blueprint, originally employed to describe aberrant changes in cancer cells, can be also used to describe aging and fibrosis. Pulmonary fibrosis (PF) is the result of a progressive decline in injury resolution processes stemming from endogenous (physiological decline or somatic mutations) or exogenous stress. Environmental, dietary or occupational exposure accelerates the pathogenesis of a senescent phenotype based on (1) window of exposure; (2) dose, duration, recurrence; and (3) cells type being targeted. As the lung ages, the threshold to generate an irreversibly senescent phenotype is lowered. However, we do not have sufficient knowledge to make accurate predictions. In this review, we provide an assessment of the literature that interrogates lung epithelial, mesenchymal, and immune senescence at the intersection of aging, environmental exposure and pulmonary fibrosis.Entities:
Keywords: aging; epithelial cells; immune-senescence; inflamm-aging; lung fibrosis; mesenchymal senescence; senescence
Year: 2020 PMID: 33282895 PMCID: PMC7689159 DOI: 10.3389/fmed.2020.606462
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1The nine “hallmarks” of cell fitness. Healthy cells rely on a balance between survival checkpoints and aberrant hallmarks. A total of nine factors have been defined: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication (represented by circles in matching colors). Skewing of this equilibrium generates a progressively senescent phenotype as a result of age-related checkpoint dysfunction driving cellular toxicity.
Figure 2Chemical induced senescence. Acetaminophen, acrolein, chlorpyrofos, chloroquine, and heavy metals exposure disrupts unfolded protein response, UPR. Nutrient utilization is then shifted toward glycolysis, leading to: (1) Enhanced AMPK signaling driven by excess AMP, resulting in proliferative latency and pRB/p16 pathway activation. (2) Excess pyruvate enters mitochondria for conversion into AcCoA; this leads to mitochondria! overload and swelling, ROS generation and toxic cell acidification. (3) Oxidative stress from mitochondria damages cytoplasmic proteins and DNA; AcCoA functions as a acetyl donor for localized histone hyperacetylation, while histone chaperones Asf1 and HIRA greatly remodels chromatin independently of replicative state of the cell. Gene expression resulting from chromatin reprogram results in senescent associated secretory phenotype (SASP), enriched in tumor suppressor proteins, transcription factors, microRNAs, growth factors, proteases, and inflammatory cytokines (e.g., p-galactosidase, p16INK4a, IL-6, CXCR2, IL-1 receptor, C/EBPp, and NF-KB).
Figure 3Modeling chemical exposure on the fibrotic phenotype. Depiction of possible outcomes resulting from aging and chemical exposure and their relationship to fibrogenesis. Highly fibrogenic chemical exposure (1, gray dotted line, ) may drive rapid and possibly lethal fibrosis after a single exposure. By comparison, aging may lead to different disease profiles based on factor such as genetic instability (i.e., SP-C mutation). In such case, an individual presenting somatic mutations may be predisposed to develop a fibrotic phenotype without toxic challenge (2a, blue line, ), compared to a healthy individual (2b, blue dotted line, ). Similar responses can be observed following mild/moderate repeated exposure, with susceptible population (3a, red line, ) passing the “fibrogenic threshold", whereas healthy cohorts will not. (3b, red dotted line, ) or never reach that threshold depending on factor such as genetic susceptibility. Similarly, aging may be associated with fibrotic and non-fibrotic outcomes depending on individual biological clocks.
Figure 4Modeling cell specific responses to chemical exposure. Simplified depiction of the divergent effects of particular matter exposure in immune, epithelial (inclusive of alveolar and mucus producing goblet cells), and mesenchymal (fibroblasts and myofibroblasts).
Phenotypic characterization of nine prototypical macrophage populations including M1, M2a/b/c/d, Mox, Mhb, and M4.
| M1 | IFN-γ, TNF-α, and LPS | STAT1/5, IRFs, NF-κB and AP-1 | Antibacterial, Destructive, Th1 immunity; Type-IV hypersensitivity, tumor resistance | TLR-2/4, CD80, CD86, iNOS, and MHC-II on the surface. Produce TNF-α, IL-1α, IL-1β, IL-6, IL-12, IL-23, CXCL9, CXCL10, CXCL11 |
| M2a | IL-4/-13 | STAT3/6, glucocorticoid receptor, (PPAR)-γ and -δ, STAT6, IRF4, JMJD3 | Repair and remodeling (pro-fibrotic); Th2 immunity; endocytic activity; cell growth | YM1, FIZZ1, Arg-1, CD206, IL1R surface expression. Produce IL-10, TGF-β, CCL17, CCL18, and CCL22 |
| M2b | TLR ligands + IL-1β | Th2 immunity; Immunoregulatory (breadth and depth of inflammatory responses) | CCL1, TNF-α, IL-1β, IL-6, and IL-10 | |
| M2c | Glucocorticoids, IL-10 and TGF-β | Immunoregulation, tissue repair, matrix remodeling; Clearance of apoptotic tissue | TLR-1/8, Arg-1, CD163, CD206 surface expression. Produce IL-10, TGF-β, CXCL13, CCL16, and CCL18 | |
| M2d | Adenosine + TLR2/4/7 antagonists | Pro-angiogenic; clearance of apoptotic tissue | IL-10R, IL-12R surface expression; no Dectin-1 expression. Produce VEGF, IL-10 and iNOS; low levels of TNF-α and IL-12; intermediate Arg-1 | |
| Mox | Oxidized phospholipids | Nuclear factor erythroid 2–related factor 2 (NRF2), Nurr1 | Pro-atherogenic. Reduced phagocytic and chemotactic function | TLR-2 surface expression. Produce NRF2 response genes, reactive oxygen species, IL-1β and IL-10 |
| Mhb | Haptoglobin | – | Phagocytic (erythrocyte clearance) | HO-1 and CD163 surface expression |
| M4 | CXCL4 | KLF2 | Pro-atherogenic; no phagocytic capacity | No CD163, MHC-II, and HO-1 expression. Produce TNF-α, IL-6, CCL2, CXCL8, MMP-12, and S100A8 |
Table describes the chemical mixture necessary to trigger phenotype in vitro; transcription factors involved in macrophage activation; biological function; and activation signature. Appropriate references are listed at the bottom of the table.
Phenotypic characterization of peripheral and tissue resident lymphocyte populations including CD4, CD8, Th17, Treg, innate (innate lymphoid cells, ILCs), and unconventional T cells (invariant natural killer T cells, iNKT); CD8αα+ cells; mucosal-associated invariant T cells, MAIT; γδ T cells; and intestinal intraepithelial lymphocytes, IELs).
| CD4+ (Cellular Response) | Antigen presenting cell and epithelial signals (CXCL10 and CXCR3) | STAT4, Tbet | Th 1 Immunity (Enhance macrophage killing activity, proliferation of cytotoxic CD8+ T cells) | IL-2, IL-12, IFN-γ, and TNFα |
| CD4+ (Humoral Response) | Antigen presenting cell and epithelial signaling (IL-33, IL-25, and TSLP) | STAT6, GATA3 | Th 2 Immunity (Recruit/activation of eosinophils, basophils, mast cells, and B cells | IL-4, IL-5, IL-9, IL-10, IL-13, and IL-25 |
| CD8+ (Cytotoxic T) | Antigen exposure | Tbet, EOMES, RUNX3 | Intracellular pathogen defense, tumor surveillance | (a) TNF-α, IFN-γ secretion; (b) cytotoxic granule release; (c) direct cytotoxicity (Fas/FasL) |
| Th9 | IL-4 and TGF-β | STAT6, PU.1 | Anti-parasitic | IL-9 |
| Th17 | Antigen dependent and independent activation, IL-6 and IL-23 | RORγt, STAT3 | (IL-17A, IL-17F, IL-21, and IL-22) | |
| Th25/Treg | TGF-β | FOXP3 | Immunosuppressive; prevent autoimmunity | IL-10, TGFβ, IL-35 |
| Tissue resident memory T (TRM) | Pathogen exposure, epithelial signaling (IL-25) | BCL6, Blimp-1 | Immunological memory | IL-5, IL-17, and CCR7 |
| Unconventional T (Innate-like, NKTs, IELs, MAITs, γδTs) | IL-33, IL-25, TSLP | PLZF, RORγt, Tbet | IFNγ (all); IL-4, IL-13 (MAIT); IL-17 (MAIT, γδT); | |
Table describes the milieu necessary to trigger phenotype; transcription factors involved in subset activation; biological function; and activation signature. Appropriate references are listed at the bottom of the table.