| Literature DB >> 35159168 |
Thibault Teissier1, Eric Boulanger2, Lynne S Cox1.
Abstract
Acute inflammation is a physiological response to injury or infection, with a cascade of steps that ultimately lead to the recruitment of immune cells to clear invading pathogens and heal wounds. However, chronic inflammation arising from the continued presence of the initial trigger, or the dysfunction of signalling and/or effector pathways, is harmful to health. While successful ageing in older adults, including centenarians, is associated with low levels of inflammation, elevated inflammation increases the risk of poor health and death. Hence inflammation has been described as one of seven pillars of ageing. Age-associated sterile, chronic, and low-grade inflammation is commonly termed inflammageing-it is not simply a consequence of increasing chronological age, but is also a marker of biological ageing, multimorbidity, and mortality risk. While inflammageing was initially thought to be caused by "continuous antigenic load and stress", reports from the last two decades describe a much more complex phenomenon also involving cellular senescence and the ageing of the immune system. In this review, we explore some of the main sources and consequences of inflammageing in the context of immunosenescence and highlight potential interventions. In particular, we assess the contribution of cellular senescence to age-associated inflammation, identify patterns of pro- and anti-inflammatory markers characteristic of inflammageing, describe alterations in the ageing immune system that lead to elevated inflammation, and finally assess the ways that diet, exercise, and pharmacological interventions can reduce inflammageing and thus, improve later life health.Entities:
Keywords: SASP; ageing; cytokines; immunosenescence; immunosurveillance; inflammageing; inflammation; senescence
Mesh:
Substances:
Year: 2022 PMID: 35159168 PMCID: PMC8834134 DOI: 10.3390/cells11030359
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1Cell senescence plays a central role in inflammageing. Cell senescence is promoted by a variety of stressors including age-related telomere attrition, DNA damage, oxidative stress, proteostatic stress, and oncogene activation. Senescence of immune cells can lead to immune failure, while age-related decreased immunity results in the poor immunological clearance of senescent cells. Obesity is associated with a pro-inflammatory state that can drive senescence, with senescent cells detected in adipose tissue; it also predisposes sufferers to diabetes, wherein altered blood sugar control may trigger senescence through glycation and metabolic stress. Inflammation is a primary response to infection, but some inflammatory signals (e.g., IL-6) can promote cell senescence. Moreover, certain viral and bacterial infections can also drive senescence. The pro-inflammatory secretome produced by senescent cells is associated with age-related diseases. Hence, senescent cells lie at the heart of a multi-faceted vicious circle leading to increased inflammation, age-related diseases, and ultimately, death.
Figure 2Pro-inflammatory signature of inflammageing. Orange oval shows factors most strongly associated with age-associated inflammation. Some cytokines usually considered pro-inflammatory can have anti-inflammatory activities, e.g., IL-6 produced as a cytokine through NFKB signalling pathways is pro-inflammatory, while IL-6 produced as a myokine following exercise is anti-inflammatory. Some factors may be anti-inflammatory in children and young adults but pro-inflammatory in later life; biological sex is also important in determining whether the factors act in a pro- or anti-inflammatory manner (see text for details). Hence, factors that overlap between pro- (orange) and anti-inflammatory activity (green) may be informative for the inflammatory signature.
Examples of pro-inflammatory factors identified in major cohort studies. Note this is an indicative and not exhaustive list, covering findings from a subset of large population cohorts, and does not include all known inflammatory factors (NI = not investigated in the study cited).
| IL-1β | IL-6 | CRP | SAA | ICAM | PAI-1 | Fibrinogen | Population Characteristics | Data Processing | Reference |
|---|---|---|---|---|---|---|---|---|---|
| No cluster reported | PCA1—Correlated with age, mortality, morbidity, and age-related diseases | NI | NI | NI | NI | 1010 participants (428 men, 582 women), aged 21–96 y.o. | Cluster analysis | [ | |
| Absence of correlation with age | Positively correlated with age, mortality, morbidity, and some age-related disease | Positively correlated with age, mortality, morbidity, and some age-related disease | General population—InCHIANTI cohort | Individual associations | |||||
| Non-predictive of 5-year mortality | Significant independent predictor of 5- and 10-year mortality | Significant independent predictor of 5- and 10-year mortality | NI | NI | NI | NI | 7043 participants (2995 men, 4048 women), aged 65–102 y.o. | Fully adjusted correlation with 10-year mortality | [ |
| Best predictor of 10-year mortality in combination with sTNFRI | General population—includes CHS and InCHIANTI cohorts | ||||||||
| IL-1/TGF—No adverse outcome reported | “Up”-regulation—Positively correlated with worsened mobility and frailty risk | NI | NI | NI | NI | 967 participants (416 men, 551 women), aged 65 y.o. and older | Cluster analysis | [ | |
| General population—InCHIANTI cohort | |||||||||
| NI | CRP related—Negatively correlated with grip strength; Positively correlated with 400-m walk time | NI | NI | CRP related—Negatively correlated with grip strength; Positively correlated with 400-m walk time | NI | 1269 participants, aged 70–79 y.o. | Cluster analysis | [ | |
| Highest | Highest | Highest | General non-frail population | Individual associations | |||||
| NI | Positively associated with 4-year mortality | NI | NI | NI | NI | 285 participants (67 men, 218 women), aged 90 y.o. and older with a 4-year follow-up | Correlation with 4-year mortality | [ | |
| Removed association with mortality | Predictor of 4-year mortality alone or in combination with IL-1RA | General population | Fully adjusted | ||||||
| NI | NI | Systemic inflammation | NI | Local inflammation-endothelial dysfunction | NI | Systemic inflammation | 320 participants (236 men, 84 women), aged 58–74 y.o. with a 1-year follow-up | Cluster analysis | [ |
| Independent predictor of 1-year recurrent coronary events | No association with 1-year recurrent adverse cardiac events | No association with 1-year recurrent adverse cardiac events | Acute coronary syndrome patients | Individual associations | |||||
| Absence of correlation with age | Positively correlated with age | Positively correlated with age | 1327 participants (586 men, 741 women), aged 20–102 y.o. | Correlation with age | [ | ||||
| NR | Greatly reduced the size of the regression coefficient for age | Removed the effect of age in men only | Removed the effect of age | General population—Includes InCHIANTI cohort | Adjustment for cardiovascular risk factors and morbidities | ||||
| NI | Proinflammation—Strong association with 4-year death rate | No cluster reported but is individually positively correlated with TNF-alpha, CRP, IL-6 and SAA | NI | NI | 580 women aged 31–85 y.o. with a 4.7-year follow-up | Cluster analysis | [ | ||
| Clinically referred for coronary angiography | |||||||||
| No significant association with physical performance | Negatively correlated with global physical performance and hand-grip strength | Negatively correlated with global physical performance and hand-grip strength | NI | NI | NI | NI | 1020 participants (483 men, 537 women), aged 65–102 y.o. | Correlation with physical performance | [ |
IL-18 and TNF-α as examples of factors with both pro- and anti-inflammatory activity identified in several large cohort studies.
| Pro- and Anti-Inflammatory Factors | Evidence | |||
|---|---|---|---|---|
| IL-18 | TNF-α | Population Characteristics | Data Processing | Reference |
| PCA1—Correlated with age, mortality, morbidity and age-related diseases | 1010 participants (428 men, 582 women), aged 21–96 y | Cluster analysis | [ | |
| Positively correlated with age | Absence of correlation with age, mortality, and morbidity. Positively correlated with some age-related diseases | General population—InCHIANTI cohort | Individual associations | |
| Significant independent predictor of 5- and 10-year mortality | Non-predictive of 5-year mortality | 7043 participants (2995 men, 4048 women), aged 65–102 y | Fully adjusted correlation with 10-year mortality | [ |
| General population—includes CHS and InCHIANTI cohorts | ||||
| No cluster reported | “Down”-regulation—Correlated with frailty outcomes | 967 participants (416 men, 551 women), aged 65 y and older | Cluster analysis | [ |
| Individually correlated with worsened mobility | General population—InCHIANTI cohort | |||
| NI | TNF-α related—Negatively correlated with knee strength, HPPB score, and grip strength; Positively correlated with 400-m walk time | 1269 participants, aged 70–79 y | Cluster analysis | [ |
| Highest | General non-frail population | Individual associations | ||
| NI | NI | 285 participants (67 men, 218 women), aged 90 y and older with a 4-year follow-up | Correlation with 4-year mortality | [ |
| General population | Fully adjusted | |||
| Local inflammation-endothelial dysfunction | NI | 320 participants (236 men, 84 women), aged 58–74 y with a 1-year follow-up | Cluster analysis | [ |
| Independent predictor of 1-year recurrent coronary events | Acute coronary syndrome patients | Individual associations | ||
| Positively correlated with age | Absence of correlation with age | 1327 participants (586 men, 741 women), aged 20–102 y | Correlation with age | [ |
| Reduced the size of the regression coefficient for age | NR | General population—Includes InCHIANTI cohort | Adjustment for cardiovascular risk factors and morbidities | |
| Proinflammation and anti-inflammation—Absence of association with 4-year death rate | 580 women aged 31–85 y with a 4.7-year follow-up | Cluster analysis | [ | |
| Clinically referred for coronary angiography | ||||
| NI | Negatively correlated with walking and standing balance performance | 1020 participants (483 men, 537 women), aged 65–102 y | Correlation with physical performance | [ |
Figure 3Epithelial barriers and innate and adaptive immunity constitute three major components of the immune system. Epithelial and endothelial barriers form an essential but often overlooked first line of defence in immunity. The senescence of epithelial and endothelial cells forming such barriers can lead to decreased protection (e.g., through diminished mucous secretions or ciliary activity), ‘leakiness’ through the loss of tight junctions and altered properties, including excess inflammation and tissue damage through the SASP. The second pillar of immunity, the innate immune response, is rapid-onset and, though fairly non-specific, can often be sufficient to prevent pathogens from causing disease, though senescence can lead to non-resolving inflammation. The final pillar of the adaptive immune system involves a slower-onset but highly specific response to infection; however, the senescence of these cells greatly reduces overall immune responses and may contribute to inflammageing (see text for further details).
Figure 4Cross-talk between cells of the innate and adaptive immune systems. Innate cells are labelled in red, with adaptive in green. Both innate and adaptive arms arise from haematopoietic stem cells (HSCs) in the bone marrow. The first line of defence is provided by the rapidly-acting PAMP/DAMP-sensing innate system, with innate cells presenting antigens to adaptive cells; this stimulates rapid proliferation of adaptive cells bearing receptors cognate for the antigen. T cells are ‘educated’ in the thymus to eliminate cells that recognise ‘self’, so that the immune system is self-tolerant. Breakage of this tolerance leads to autoimmunity, wherein the immune system attacks specific molecules or cells of the body as if they were infectious pathogens. Notably autoimmunity rises significantly with increasing age.
Examples of anti-inflammatory factors identified in several large population cohort studies. Note that some of these are elevated with age and poor outcomes, which may reflect the acquisition of pro-inflammatory characteristics or an unsuccessful adaptive response in an attempt to quell elevated inflammation driven by pro-inflammatory factors. (This is not an exhaustive list of anti-inflammatory factors).
| IL-1RA | IL-2sR | IL-6sR | sTNFRI | sTNFRII | IL-10 | TGF-β | HDL Cholesterol | Population Characteristics | Data Processing | Reference |
|---|---|---|---|---|---|---|---|---|---|---|
| PCA1—Correlated with age, mortality, morbidity, and age-related diseases | NI | No cluster reported | PCA1—Correlated with age, mortality, morbidity, and age-related diseases | No cluster reported | No cluster reported | NI | 1010 participants (428 men, 582 women), aged 21–96 y.o | Cluster analysis | [ | |
| Positively correlated with age | Absence of correlation with age | Positively correlated with age, mortality, morbidity and some age-related disease | Positively correlated with age | Negatively correlated with age | Absence of correlation with age | General population—InCHIANTI cohort | Individual associations | |||
| Significant independent predictor of 5- and 10-year mortality | NI | Non-predictive of 5-year mortality | Significant independent predictor of 5- and 10-year mortality | Non-predictive of 5-year mortality | Non-predictive of 5-year mortality | NI | NI | 7043 participants (2995 men, 4048 women), aged 65–102 y.o. | Fully adjusted correlation with 10-year mortality | [ |
| Best predictor of 10-year mortality in combination with IL-6 | General population—Includes CHS and InCHIANTI cohorts | |||||||||
| “Up”-regulation—Positively correlated with worsened mobility and frailty risk | NI | NI | NI | NI | NI | IL-1/TGF—No adverse outcome reported | NI | 967 participants (416 men, 551 women), aged 65 y.o. and older | Cluster analysis | [ |
| General population—InCHIANTI cohort | ||||||||||
| NI | TNF-α related—Negatively correlated with knee strength, HPPB score and grip strength; positively correlated with 400-m walk time | NI | NI | NI | 1269 participants, aged 70–79 y.o. | Cluster analysis | [ | |||
| Highest | Highest | Highest | General non-frail population | Individual associations | ||||||
| Positively associated with 4-year mortality | NI | NI | NI | NI | NI | NI | NI | 285 participants (67 men, 218 women), aged 90 y.o. and older with a 4-year follow-up | Correlation with 4-year mortality | [ |
| Strong independent predictor of 4-year mortality alone or in combination with CRP | General population | Fully adjusted | ||||||||
| NI | NI | NI | NI | NI | Protective or anti-inflammation—negative predictor of adverse cardiac events | NI | Protective or anti-inflammation—negative predictor of adverse cardiac events | 320 participants (236 men, 84 women), aged 58–74 y.o. with a 1-year follow-up | Cluster analysis | [ |
| Significant negative predictor of 1-year adverse cardiac events | Significant negative predictor of 1-year adverse cardiac events | Acute coronary syndrome patients | Individual associations | |||||||
| Positively correlated with age | NI | Positively correlated with age in women only | NI | NI | NI | Absence of correlation with age | NI | 1327 participants (586 men, 741 women), aged 20–102 y.o. | Correlation with age | [ |
| Removed the effect of age | Increased the size of the regression coefficient for age | NR | General population—includes InCHIANTI cohort | Adjustment for cardiovascular risk factors and morbidities | ||||||
| NI | NI | NI | NI | NI | NI | Immunosuppressive—absence of association with 4-year death rate | NI | 580 women aged 31–85 y.o. with a 4.7-year follow-up | Cluster analysis | [ |
| Clinically referred for coronary angiography | ||||||||||
| Negatively correlated with global physical performance but not with hand-grip strength | NI | No significant association with physical performance | NI | NI | No significant association with physical performance | NI | NI | 1020 participants (483 men, 537 women), aged 65–102 y.o. | Correlation with physical performance | [ |
Figure 5Inflammageing arises from increased cell senescence across many tissues, as well as age-related changes to the bone marrow niche and individual innate and adaptive immune cells. Together this leads to inappropriately high levels of sterile inflammation, with a number of secreted factors that may serve as a signature of inflammageing.