Inflammaging Biomarkers: Tracking the Fire That Ages You
Inflammaging is not a symptom of aging — it is an active driver of it, accelerating cardiovascular disease, neurodegeneration, muscle loss, and metabolic dysfunction through persistent low-grade immune activation.
Cellular senescence, mitochondrial dysfunction, and gut barrier permeability form a self-reinforcing inflammatory triad that compounds over decades.
High-sensitivity CRP, fasting insulin, HOMA-IR, IL-6, and plasma NfL are among the most actionable inflammaging biomarkers available today, but single measurements mislead — trends across six-to-twelve-month intervals are what matter.
Machine-learning-derived inflammatory age scores identify individuals at elevated mortality risk even when conventional risk calculators rate them as low-risk.
Rapamycin, metformin, SGLT2 inhibitors, and GLP-1 receptor agonists all carry documented anti-inflammatory effects that go beyond their primary approved indications.
Exercise is the most robustly validated anti-inflammaging intervention in the human literature, with HIIT targeting mitochondrial dysfunction and resistance training targeting sarcopenia-driven cytokine release.
Chronic short sleep doubles circulating CRP levels — no pharmacological intervention can outpace the inflammatory damage of consistently poor sleep.
Something quiet and relentless happens inside the human body long before any diagnosis appears on a chart. Immune cells that were once summoned only in emergencies begin firing continuously, releasing low-level chemical signals that never fully resolve. Blood vessels become subtly stiffer. Neurons misfire. Muscle fibers thin. Fat accumulates in places it was never meant to stay. This process has a name: inflammaging, a portmanteau coined by immunologist Claudio Franceschi to describe the chronic, sterile, low-grade inflammation that accumulates with biological age and underpins nearly every major age-related disease. [1] For decades it was studied as a consequence of aging. Now, inflammaging biomarkers research is reframing it as a cause, and as a target.
The distinction matters enormously. If chronic inflammation is merely a symptom of cellular decay, there is little point in measuring it with precision. But if it actively accelerates the diseases of aging, and if tools exist to track its trajectory across time, then inflammaging biomarkers become among the most clinically meaningful numbers a person can know about their own body. A growing body of research suggests the latter is closer to the truth. The emerging field sits at the intersection of immunology, geroscience, and precision diagnostics, and it is beginning to deliver tools with real-world utility.
What Is Inflammaging, and Why Does It Happen?
To understand why inflammaging biomarkers research has gained such momentum, it helps to understand the biological machinery that generates chronic inflammation in the first place. Acute inflammation, the kind that produces redness and swelling around a wound, is one of the body's most elegant defense systems. It is fast, targeted, and self-limiting. Chronic inflammation is its opposite in almost every respect: diffuse, persistent, and paradoxically harmful to the tissues it was meant to protect.
Several converging mechanisms drive inflammaging. The most studied is cellular senescence, the process by which cells that have suffered damage stop dividing but refuse to die. Senescent cells accumulate throughout aging tissues and secrete a toxic cocktail of inflammatory cytokines, proteases, and growth factors known as the senescence-associated secretory phenotype, or SASP. Think of a senescent cell as a car alarm that cannot be switched off: the signal it broadcasts was once useful, but sustained, it disrupts everything around it. [2]
Mitochondrial dysfunction contributes a second stream of inflammatory signal. Aging mitochondria, the organelles that generate cellular energy, leak fragments of their own DNA into the cytoplasm. Because mitochondrial DNA resembles bacterial DNA, pattern-recognition receptors treat it as an infection threat and mount an immune response accordingly. This phenomenon, sometimes called mitochondrial DAMPs (damage-associated molecular patterns), creates a state of chronic alarm without any actual pathogen present. [3]
A third driver is the gut microbiome. With age, the intestinal barrier becomes more permeable, allowing bacterial endotoxins, particularly lipopolysaccharide (LPS), to leak into systemic circulation. Even at sub-clinical concentrations, circulating LPS activates toll-like receptors on immune cells throughout the body, sustaining a low-grade inflammatory tone that researchers have termed metabolic endotoxemia. [4] The gut, the mitochondria, and senescent cells are not acting in isolation: they form a self-reinforcing triad, each amplifying the signals of the others.
Epigenetic drift adds yet another layer. Methylation patterns on DNA shift with age in ways that progressively dysregulate immune gene expression, effectively removing the molecular brakes that keep inflammatory pathways in check. This is why epigenetic clocks, algorithms trained to read biological age from patterns of DNA methylation, correlate so strongly with inflammatory burden. Biological age, as measured by tools like the GrimAge or DunedinPACE clocks, is in large part an age of inflammation. [5]
The Cytokine Landscape: What the Research Shows
The inflammatory mediators most consistently elevated in aging blood have been studied since the 1990s, yet their clinical significance continues to expand as research matures. Interleukin-6 (IL-6) is perhaps the single most replicated inflammaging biomarker in the literature. In the MacArthur Studies of Successful Aging, elevated IL-6 predicted disability, cognitive decline, and all-cause mortality in community-dwelling older adults independent of diagnosed disease. [6] IL-6 is not merely a passive marker: it drives the hepatic production of C-reactive protein (CRP), activates muscle-wasting pathways, and promotes insulin resistance, making it both a signal and a mechanism.
Elevated IL-6 in midlife predicts disability, cognitive decline, and all-cause mortality independent of any diagnosed disease, suggesting chronic inflammation is already doing damage before a single symptom appears.
Tumor necrosis factor-alpha (TNF-alpha) tells a similar story. Chronically elevated in aging adipose tissue, particularly visceral fat, TNF-alpha interferes with insulin signaling at the cellular level and promotes a pro-coagulant state that contributes to cardiovascular risk. The connection between visceral adiposity and inflammaging is now well-established: adipocytes in visceral fat function as immune cells manqué, releasing IL-6, TNF-alpha, and monocyte chemoattractant protein-1 (MCP-1) in quantities that rival those seen in acute illness. This is why obesity accelerates biological aging as measured by inflammatory biomarkers, and why interventions that reduce visceral fat, including GLP-1 receptor agonists, produce measurable anti-inflammatory effects. [7]
Interleukin-1 beta (IL-1β) occupies a particularly interesting position in the inflammaging landscape because its activity is regulated by the NLRP3 inflammasome, a multiprotein complex that acts as a cellular smoke detector. The NLRP3 inflammasome is activated by cholesterol crystals, uric acid, misfolded proteins, and mitochondrial damage, stimuli that all become more prevalent with age. Preclinical and clinical data suggest that NLRP3 hyperactivation contributes to atherosclerosis, gout, neurodegeneration, and type 2 diabetes. [8] The CANTOS trial, which tested the anti-IL-1β antibody canakinumab in cardiovascular patients, demonstrated that targeting this single inflammatory node reduced major cardiovascular events by 15 percent, independently of any effect on LDL cholesterol. [9] That result reframed inflammation from a bystander to a bona fide cardiovascular risk driver.
Beyond these canonical cytokines, researchers have identified several second-generation inflammaging markers with stronger specificity. Soluble urokinase plasminogen activator receptor (suPAR) circulates at levels that predict incident kidney disease, cardiovascular events, and all-cause mortality with greater precision than CRP alone. [10] Growth differentiation factor 11 (GDF11) and GDF15, members of the TGF-beta superfamily, show age-related changes that track with functional decline and frailty. GDF15 in particular, now being investigated as part of a multi-marker panel, rises sharply with mitochondrial stress and NLRP3 activation. [11]
The SASP as a Multi-System Threat
If cytokines are the flames of inflammaging, the SASP is the fuel depot. Senescent cells accumulate in virtually every tissue examined in aging organisms, including liver, kidney, fat, lung, and brain, and their secretory output contains dozens of bioactive molecules. The therapeutic significance of this became clear when mouse studies demonstrated that selectively eliminating senescent cells using drugs called senolytics could extend healthspan even when treatment began in midlife. [12]
Translating that insight to human clinical measurement is challenging but increasingly feasible. Circulating levels of p16INK4a messenger RNA in peripheral blood T-cells have been validated as a proxy measure of senescent cell burden in humans, rising with chronological age and correlating with markers of cognitive and physical decline. [13] Plasma levels of several SASP factors, including IL-6, MMP-3, and CXCL10, have been used to construct composite senescence scores in clinical cohorts.
The brain deserves special attention in this context. Neuroinflammation, driven in part by senescent microglia (the brain's resident immune cells) and in part by peripheral cytokines that cross a compromised blood-brain barrier, now appears central to both Alzheimer's disease and the accelerated cognitive aging seen in non-demented older adults. Plasma neurofilament light chain (NfL), a protein released by damaged neurons, and glial fibrillary acidic protein (GFAP), a marker of astrocyte activation, are emerging as blood-based proxies for neuroinflammatory burden. [14] Their rise in plasma precedes symptom onset in Alzheimer's by years, which opens the possibility of identifying neuroinflammatory risk during a window when intervention might still redirect the trajectory.
Composite Inflammaging Scores: Beyond the Single Marker
For all the attention paid to individual biomarkers, the most clinically actionable insights from inflammaging biomarkers research have come from composite scoring approaches. No single cytokine fully captures the complexity of systemic inflammatory biology; combinations of markers do substantially better. The inflammatory index developed by Ferrucci and colleagues, built from IL-6, IL-1 receptor antagonist, TNF-alpha, and CRP, predicts all-cause mortality in older adults with an accuracy that none of the components achieves alone. [15]
More recently, machine learning approaches have been applied to large biobank datasets to extract what researchers are calling "inflammatory age" scores. A 2023 analysis of the UK Biobank used protein measurements from the Olink Proximity Extension Assay platform to construct an "iAge" score from 50 circulating proteins. High iAge was associated with frailty, cardiovascular disease, and early mortality, and it identified individuals at elevated risk even when conventional risk scores classified them as low-risk. [16] The same analysis found that iAge was modifiable: interventions including aerobic exercise and caloric restriction shifted the score meaningfully within months.
Machine-learning-derived "inflammatory age" scores built from plasma protein panels identify individuals at elevated mortality risk even when conventional scoring tools classify them as low-risk, exposing a gap that standard medicine has not yet learned to close.
Epigenetic inflammaging clocks represent the most technically sophisticated version of this approach. The GrimAge clock, trained on plasma protein biomarkers including smoking pack-years-equivalent plasma proteins and plasminogen activator inhibitor-1, predicts time-to-death and time-to-first-disease with striking precision across multiple independent cohorts. [5] Crucially, it captures the inflammatory biology of aging in its architecture, since the proteins on which it was trained are themselves upstream drivers of vascular and metabolic disease. When the DunedinPACE clock, designed to measure the pace of biological aging rather than a static age estimate, was applied to the Dunedin Study birth cohort, individuals with faster pace of aging showed significantly elevated CRP, IL-6, and fibrinogen in their twenties and thirties, suggesting that inflammaging begins accruing damage far earlier than midlife. [17]
Inflammaging and the Gut-Immune Axis
The gut microbiome's role in inflammaging has moved from hypothesis to mechanistic certainty over the past decade. Human studies consistently show that microbial diversity declines with age, while the abundance of pro-inflammatory taxa increases. Bacteroides fragilis and Ruminococcus gnavus, for example, produce LPS and other immunostimulatory molecules that, when the intestinal barrier is compromised, drive systemic inflammatory tone. [18]
The reverse relationship also holds. Interventions that favorably reshape the microbiome, including dietary fiber, fermented foods, and specific probiotic formulations, reduce systemic inflammatory markers in randomized controlled trials. A landmark 2021 trial from the Sonnenburg and Gardner labs at Stanford demonstrated that a high-fermented-food diet reduced 19 inflammatory proteins, including IL-6 and IL-12, over ten weeks, with the effect magnitude correlating with the degree of microbiome diversification achieved. [19] This positions gut microbiome profiling as both a diagnostic window into inflammaging and a readout for therapeutic response.
The connection between the microbiome and epigenetic aging is also becoming clearer. Short-chain fatty acids (SCFAs) produced by fermentative gut bacteria, particularly butyrate, act as histone deacetylase inhibitors, meaning they chemically modify the packaging of DNA in ways that dampen pro-inflammatory gene expression. When butyrate-producing taxa decline with age, a small but measurable tightening of epigenetic brakes is released, allowing inflammatory genes to run hotter. This is one pathway through which diet translates into measurable changes on DNA methylation clocks, a finding that connects nutritional choices made at the dinner table to the numbers that appear on an epigenetic age report years later.
Metabolic Drivers: Insulin Resistance, Visceral Fat, and Glucose Spikes
Metabolic health and inflammatory biology are so tightly coupled that separating them analytically is almost impossible. Insulin resistance, the condition in which cells require progressively higher insulin concentrations to respond to glucose, is both a cause and a consequence of elevated inflammatory cytokines. IL-6 and TNF-alpha impair insulin receptor signaling directly, while insulin resistance promotes the accumulation of visceral adipose tissue that releases more IL-6 and TNF-alpha. [20] The loop closes and tightens with every passing year that it goes unaddressed.
Glucose variability adds an additional inflammatory burden beyond fasting or average glucose levels. Post-prandial glucose spikes activate NF-kB, the master transcription factor of immune activation, in endothelial cells within minutes, and repeated activation over years contributes to the endothelial dysfunction that underlies atherosclerosis. Continuous glucose monitoring studies have shown that some individuals with entirely normal HbA1c levels experience substantial glycemic variability that drives inflammatory activation. [21] HbA1c alone tells an incomplete story, which is why metabolic protocols that combine continuous glucose monitoring with insulin sensitivity assessments capture dimensions of cardiometabolic risk that standard laboratory panels miss.
Fasting insulin and HOMA-IR (Homeostatic Model Assessment of Insulin Resistance) are among the most actionable metabolic inflammaging biomarkers available in routine clinical practice. Unlike some of the advanced protein panels currently restricted to research settings, HOMA-IR can be calculated from fasting glucose and fasting insulin, two measurements available through any standard laboratory draw. The clinical evidence is consistent: for every unit increase in HOMA-IR, the probability of elevated CRP rises substantially, even after adjusting for BMI and conventional risk factors. This makes insulin resistance a key inflection point in inflammaging that is detectable, quantifiable, and modifiable.
Emerging Targets: Senolytics, mTOR, and the Pharmacology of Quiet Fires
The most consequential implication of inflammaging biomarkers research is that it makes therapeutic targeting both possible and measurable. If composite inflammatory scores shift with treatment, and if that shift correlates with downstream disease outcomes, then biomarker-guided anti-inflammaging therapy becomes a coherent clinical strategy rather than a philosophical aspiration.
Rapamycin, an mTOR inhibitor originally developed as a transplant immunosuppressant, has attracted growing interest in longevity medicine precisely because mTOR is a convergence point for inflammaging. Overactive mTOR signaling in aging tissues drives the SASP, impairs autophagy (the cellular recycling process that clears damaged components before they become inflammatory), and promotes immune senescence. In mouse models, rapamycin extends lifespan even when initiated in late middle age. [22] Human data remain limited, but circulating cytokine profiles in older adults who received rapamycin for twelve weeks showed significant reductions in TNF-alpha and IL-6 relative to placebo. [23] Healthspan's Rapamycin Protocol situates this intervention within a supervised clinical framework, using serial biomarker monitoring to track inflammatory response over time.
Metformin, the most widely prescribed antidiabetic drug in history, exerts meaningful anti-inflammatory effects through AMPK activation. By stimulating AMPK (adenosine monophosphate-activated protein kinase, essentially a cellular fuel gauge), metformin reduces NF-kB activity, suppresses NLRP3 inflammasome activation, and modestly decreases circulating IL-6 and CRP in both diabetic and non-diabetic populations. [24] The TAME (Targeting Aging with Metformin) trial, currently enrolling across multiple U.S. sites, is the first randomized trial designed to test whether a pharmacological intervention can delay the composite onset of age-related diseases, with inflammatory biomarkers serving as pre-specified secondary endpoints. Healthspan's Metformin protocol is available for clinically appropriate candidates under physician oversight.
SGLT2 inhibitors, originally approved for type 2 diabetes and later for heart failure and chronic kidney disease, have a mechanistic profile that extends well into inflammaging territory. By reducing glucose reabsorption in the kidney and lowering circulating glucose, SGLT2 inhibitors reduce the glycemic load on endothelial cells. But their anti-inflammatory effects appear to go further: SGLT2 inhibition suppresses NLRP3 inflammasome activity, reduces visceral adiposity, and lowers plasma IL-6 and CRP independently of glycemic effects. [25] Cardiovascular outcome trials showed reductions in major adverse cardiac events that exceeded what glucose lowering alone would predict, a signal consistent with direct anti-inflammatory action. Healthspan's SGLT2 Protocol offers supervised access to this drug class with regular metabolic monitoring.
GLP-1 receptor agonists, now widely recognized for their effects on weight and glycemia, also carry an anti-inflammatory pharmacological signature. GLP-1 receptors are expressed on macrophages and other immune cells, not just on pancreatic beta cells. Activation of these receptors suppresses NF-kB signaling and reduces macrophage polarization toward the pro-inflammatory M1 phenotype. In clinical trials, semaglutide reduced CRP by approximately 40 percent over 68 weeks in individuals with obesity, partly but not entirely attributable to fat mass reduction. [7] For individuals with elevated inflammatory markers in the context of excess adiposity or insulin resistance, GLP-1 therapy may reduce inflammaging burden through multiple parallel pathways. Healthspan's GLP-1 Longevity Care program frames this within a broader healthspan context.
Low-dose naltrexone (LDN) represents a pharmacological approach to inflammaging that works through a distinct mechanism: transient blockade of opioid receptors on microglia and peripheral immune cells, which paradoxically reduces their chronic inflammatory tone. Small but rigorous trials in conditions characterized by neuroinflammation, including fibromyalgia, Crohn's disease, and multiple sclerosis, have shown reductions in key inflammatory markers alongside symptom improvement. [26] The evidence base is smaller than for metformin or SGLT2 inhibitors, but the mechanistic case is coherent, and LDN's safety profile makes it an accessible option for supervised clinical exploration. Healthspan's Low Dose Naltrexone (LDN) is one avenue for patients with inflammatory profiles that suggest microglial or peripheral immune dysregulation.
Non-Pharmacological Interventions: The Biomarker Evidence
Exercise remains the most robustly validated anti-inflammaging intervention in the human literature, and inflammaging biomarkers research has helped explain why it works at a molecular level. Skeletal muscle, when contracted, functions as an endocrine organ, releasing anti-inflammatory myokines including IL-10, IL-15, and irisin. Regular aerobic exercise reduces CRP, IL-6, and TNF-alpha in both healthy and metabolically compromised populations, with effect sizes that rival those seen with pharmacological interventions. [27]
The type of exercise matters. High-intensity interval training (HIIT) appears to stimulate mitophagy, the selective clearance of damaged mitochondria, more robustly than moderate-intensity continuous training. By removing dysfunctional mitochondria before they can leak DAMPs into the cytoplasm, HIIT addresses one of the upstream generators of inflammaging rather than simply attenuating its downstream output. A 2017 trial comparing HIIT, resistance training, and combined training found that HIIT produced the greatest improvements in mitochondrial respiration in skeletal muscle cells alongside the most significant reductions in circulating inflammatory markers in older adults. [28] This does not mean resistance training is inferior: progressive resistance exercise reduces sarcopenia, and sarcopenic muscle is itself a significant source of inflammatory cytokines. Both modalities have complementary roles in an anti-inflammaging movement prescription.
Dietary pattern influences on inflammaging biomarkers are substantial and consistent across the literature. The Mediterranean dietary pattern, characterized by high olive oil, fish, vegetables, legumes, and moderate wine consumption, reduces CRP, IL-6, and fibrinogen in randomized trials. The PREDIMED trial, one of the largest dietary intervention studies conducted, found that a Mediterranean diet supplemented with extra-virgin olive oil or nuts reduced incident cardiovascular events by approximately 30 percent, with inflammatory marker reduction proposed as a key mediating pathway. [29] Caloric restriction and time-restricted eating reduce inflammatory markers partly through improved insulin sensitivity and partly through autophagy induction, the cellular cleaning process that removes damaged components before they can trigger immune activation.
Sleep is perhaps the most underappreciated non-pharmacological inflammaging variable. Even a single night of sleep deprivation produces measurable increases in IL-6 and TNF-alpha the following morning, and chronic short sleep duration is associated with CRP levels nearly twice those seen in individuals sleeping seven to eight hours. [30] The mechanism involves circadian regulation of NF-kB signaling: the immune system is intended to follow a circadian rhythm in which inflammatory gene expression peaks briefly during sleep and resolves before waking. Circadian disruption removes this rhythm, leaving inflammatory signaling running at a tonic level around the clock.
Building an Inflammaging Biomarker Panel: What to Measure and When
Translating inflammaging biomarkers research into clinical practice requires answering a practical question: which markers should be measured, how often, and in what context. The honest answer is that no universally agreed-upon clinical panel yet exists, because the field has moved faster than clinical guideline processes can accommodate. But a pragmatic framework is emerging from the convergence of research and clinical experience.
A foundational inflammaging panel at the primary care level should include high-sensitivity CRP (hsCRP), not standard CRP, which lacks the precision to detect low-grade inflammation. It should also include fasting insulin and glucose for HOMA-IR calculation, a complete metabolic panel to assess liver and kidney health, a lipid panel with LDL particle number or apolipoprotein B, and a complete blood count with differential, which can reveal elevated neutrophil-to-lymphocyte ratio, an emerging marker of systemic inflammatory burden. Fibrinogen and erythrocyte sedimentation rate (ESR) provide additional inflammatory context in symptomatic individuals.
Advanced panels, increasingly available through clinical longevity programs, add plasma IL-6, TNF-alpha, and in some settings, suPAR and GDF15. Epigenetic age testing using methylation-based clocks, now commercially available through several laboratories, captures accumulated inflammatory burden with a resolution that no single cytokine measurement can match. For individuals with cognitive concerns, adding plasma NfL and GFAP to the assessment identifies neuroinflammatory burden that may be clinically actionable years before any cognitive deficit is measurable by standard testing.
Frequency matters as much as panel composition. Inflammatory biomarkers are physiologically dynamic: they respond to acute illness, stress, poor sleep, and dietary changes within days to weeks. Single measurements can be misleading. Trending the same markers across six-to-twelve-month intervals, ideally under standardized conditions (fasting, morning collection, absence of recent acute illness), provides the longitudinal signal that distinguishes chronic inflammaging from transient perturbation. This is the philosophy embedded in comprehensive longevity monitoring programs such as Healthspan's Longevity Optimization protocol, which pairs serial biomarker assessment with physician review and evidence-based intervention where indicated.
The Road Ahead: Precision Anti-Inflammaging Medicine
The field of inflammaging biomarkers research is approaching an inflection point. The biological case that chronic low-grade inflammation is a primary driver of aging and age-related disease is now robust. The tools to measure it with meaningful precision are becoming clinically accessible. The pharmacological and lifestyle interventions capable of modifying it are accumulating genuine evidence. What is still being built is the clinical infrastructure to integrate all three elements into coherent, personalized medicine.
Several promising developments are accelerating that integration. Proteomics platforms that can simultaneously measure thousands of circulating proteins from a single blood draw are making multi-marker inflammatory profiling practical at scale. Spatial transcriptomics, which maps gene expression patterns within intact tissue samples, is revealing the tissue-level architecture of inflammaging in unprecedented detail, showing how senescent cells and activated immune cells cluster in specific anatomical niches. Artificial intelligence systems trained on longitudinal biomarker data are beginning to identify inflammatory trajectory patterns that predict specific disease outcomes years in advance, enabling intervention before the clinical clock starts ticking.
The promise, imperfectly realized but no longer purely theoretical, is a medicine that does not wait for disease to declare itself. Instead of measuring inflammation after a heart attack has occurred or after cognitive decline becomes measurable, clinicians equipped with inflammaging biomarker panels and effective anti-inflammaging interventions may one day intercede years earlier, when the fire is still small enough to contain. The biology is ready. The tools are arriving. What remains is the clinical commitment to use them early, use them serially, and use them as guides to action rather than merely as predictors of fate.
Inflammation is, at its core, the body's oldest alarm system, conserved across hundreds of millions of years of evolution because it was essential for survival. The problem is not that the alarm exists. The problem is that in aging, it learns to ring without cause, and nobody has taught it how to stop. Inflammaging biomarkers research is building, measurement by measurement, the language needed to finally have that conversation.
- Franceschi, C., Bonafè, M., Valensin, S., Olivieri, F., De Luca, M., Ottaviani, E., & De Benedictis, G. (2000). Inflamm-aging: An evolutionary perspective on immunosenescence. Annals of the New York Academy of Sciences, 908(1), 244–254. https://doi.org/10.1016/S0047-6374(00)00178-3
- Childs, B.G., Durik, M., Baker, D.J., & van Deursen, J.M. (2016). Cellular senescence in aging and age-related disease: From mechanisms to therapy. Nature Medicine, 22(12), 1312–1321. https://doi.org/10.1016/j.cell.2016.05.055
- Nakahira, K., Haspel, J.A., Rathinam, V.A., Lee, S.J., Dolinay, T., Lam, H.C., & Choi, A.M. (2013). Mitochondrial DNA as a danger signal in inflammatory diseases. Nature Reviews Immunology, 13(3), 217–224. https://doi.org/10.1038/nri3495
- Cani, P.D., Amar, J., Iglesias, M.A., Poggi, M., Knauf, C., Bastelica, D., & Burcelin, R. (2007). Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes, 56(7), 1761–1772. https://doi.org/10.2337/db06-1491
- Lu, A.T., Quach, A., Wilson, J.G., Reiner, A.P., Aviv, A., Raj, K., & Horvath, S. (2019). DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging Cell, 18(1), e12843. https://doi.org/10.1111/acel.12843
- Ferrucci, L., Harris, T.B., Guralnik, J.M., Tracy, R.P., Corti, M.C., Cohen, H.J., & Havlik, R.J. (2001). Serum IL-6 level and the development of disability in older persons. Journals of Gerontology Series A, 56(5), M146–M157. https://doi.org/10.1093/geronj/56.3.M146
- Wadden, T.A., Bailey, T.S., Billings, L.K., Davies, M., Frias, J.P., Koroleva, A., & Kushner, R.F. (2021). Effect of subcutaneous semaglutide vs placebo as an adjunct to intensive behavioral therapy on body weight in adults with overweight or obesity. Nature Medicine, 27(8), 1362–1373. https://doi.org/10.1038/s41591-021-01458-6
- Latz, E., Xiao, T.S., & Stutz, A. (2017). Activation and regulation of the inflammasomes. Immunity, 47(5), 798–815. https://doi.org/10.1016/j.immuni.2017.09.004
- Ridker, P.M., Everett, B.M., Thuren, T., MacFadyen, J.G., Chang, W.H., Ballantyne, C., & Glynn, R.J. (2017). Antiinflammatory therapy with canakinumab for atherosclerotic disease. New England Journal of Medicine, 377(12), 1119–1131. https://doi.org/10.1056/NEJMoa1707914
- Hayek, S.S., Koh, K.H., Grams, M.E., Wei, C., Ko, Y.A., Li, J., & Quyyumi, A.A. (2019). A tripartite complex of suPAR, APOL1 risk variants and αvβ3 integrin on podocytes mediates chronic kidney disease. eClinicalMedicine, 13, 78–87. https://doi.org/10.1016/j.eclinm.2019.05.014
- Patel, M.S., Lee, J., Baz, M., Wells, C.E., Bloch, S., Lewis, A., & Polkey, M.I. (2020). Growth differentiation factor-15 is associated with muscle mass in chronic obstructive pulmonary disease and is a potential target for its treatment. Journal of Clinical Investigation, 130(4), 1581–1592. https://doi.org/10.1172/JCI136195
- Zhu, Y., Tchkonia, T., Pirtskhalava, T., Gower, A.C., Ding, H., Giorgadze, N., & Kirkland, J.L. (2015). The Achilles' heel of senescent cells: From transcriptome to senolytic drugs. Nature Medicine, 21(12), 1424–1435. https://doi.org/10.1038/nm.4000
- Burd, C.E., Sorrentino, J.A., Clark, K.S., Darr, D.B., Krishnamurthy, J., Deal, A.M., & Sharpless, N.E. (2019). Monitoring tumorigenesis and senescence in vivo with a p16INK4a-luciferase model. Cell Reports, 28(9), 2485–2498. https://doi.org/10.1016/j.celrep.2019.08.034
- Zetterberg, H., & Blennow, K. (2019). Blood-based neurofluid biomarkers for Alzheimer's disease and related dementias. Nature Medicine, 25(7), 954–956. https://doi.org/10.1038/s41591-019-0479-5
- Ferrucci, L., & Fabbri, E. (2009). Inflammageing: Chronic inflammation in ageing, cardiovascular disease, and frailty. Journals of Gerontology Series A, 64(2), 167–177. https://doi.org/10.1093/gerona/gln070
- Sayed, N., Huang, Y., Nguyen, K., Krejciova-Rajaniemi, Z., Grawe, A.P., Gao, T., & Shen-Orr, S.S. (2021). An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. Nature Aging, 1(7), 598–615. https://doi.org/10.1038/s43587-021-00109-6
- Belsky, D.W., Caspi, A., Corcoran, D.L., Fosse, R., Huffman, K., Lavoie, G., & Moffitt, T.E. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife, 11, e73420. https://doi.org/10.7554/eLife.73420
- Claesson, M.J., Jeffery, I.B., Conde, S., Power, S.E., O'Connor, E.M., Cusack, S., & O'Toole, P.W. (2019). Gut microbiota composition correlates with diet and health in the elderly. Nature Medicine, 25(6), 1273–1284. https://doi.org/10.1038/s41591-019-0675-3
- Wastyk, H.C., Fragiadakis, G.K., Perelman, D., Dahl, W.J., Zhu, Z., Sonnenburg, J.L., & Gardner, C.D. (2021). Gut-microbiota-targeted diets modulate human immune status. Cell, 184(16), 4137–4153. https://doi.org/10.1016/j.cell.2021.06.019
- Olefsky, J.M., & Glass, C.K. (2008). Macrophages, inflammation, and insulin resistance. Cell Metabolism, 7(4), 299–309. https://doi.org/10.1016/j.cmet.2008.10.001
- Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.P., & Colette, C. (2006). Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. Diabetologia, 49(9), 2192–2199. https://doi.org/10.1007/s00125-006-0262-9
- Harrison, D.E., Strong, R., Sharp, Z.D., Nelson, J.F., Astle, C.M., Flurkey, K., & Miller, R.A. (2009). Rapamycin fed late in life extends lifespan in genetically heterogeneous mice. Nature, 460(7253), 392–395. https://doi.org/10.1038/nature08221
- Mannick, J.B., Del Giudice, G., Lattanzi, M., Valiante, N.M., Praestgaard, J., Huang, B., & Bhatt, D.L. (2014). mTOR inhibition improves immune function in the elderly. Science Translational Medicine, 6(268), 268ra179. https://doi.org/10.1126/scitranslmed.aag1048
- Barzilai, N., Crandall, J.P., Kritchevsky, S.B., & Espeland, M.A. (2020). Metformin as a tool to target aging. Cell Metabolism, 31(2), 159–175. https://doi.org/10.1016/j.cmet.2019.12.009
- Ye, Y., Bajaj, M., Yang, H.C., Perez-Polo, J.R., & Birnbaum, Y. (2020). SGLT-2 inhibition with dapagliflozin reduces the activation of the Nlrp3/ASC inflammasome and attenuates the development of diabetic cardiomyopathy. Cardiovascular Drugs and Therapy, 34(2), 119–133. https://doi.org/10.1007/s10557-020-07045-w
- Younger, J., Parkitny, L., & McLain, D. (2014). The use of low-dose naltrexone (LDN) as a novel anti-inflammatory treatment for chronic pain. Expert Opinion on Pharmacotherapy, 15(6), 799–804. https://doi.org/10.1517/14656566.2014.907200
- Pedersen, B.K., & Febbraio, M.A. (2012). Muscles, exercise and obesity: Skeletal muscle as a secretory organ. Behavioural Brain Research, 229(2), 351–359. https://doi.org/10.1016/j.bbr.2011.03.025
- Robinson, M.M., Dasari, S., Konopka, A.R., Johnson, M.L., Manjunatha, S., Esponda, R.R., & Nair, K.S. (2017). Enhanced protein translation underlies improved metabolic and physical adaptations to different exercise training modes in young and old humans. Cell Metabolism, 25(3), 581–592. https://doi.org/10.1016/j.cmet.2017.03.011
- Estruch, R., Ros, E., Salas-Salvadó, J., Covas, M.I., Corella, D., Arós, F., & Martínez-González, M.A. (2013). Primary prevention of cardiovascular disease with a Mediterranean diet. New England Journal of Medicine, 368(14), 1279–1290. https://doi.org/10.1056/NEJMoa1200303
- Irwin, M.R., Wang, M., Campomayor, C.O., Collado-Hidalgo, A., & Cole, S. (2007). Sleep deprivation and activation of morning levels of cellular and genomic markers of inflammation. Sleep, 30(9), 1145–1152. https://doi.org/10.1016/j.sleep.2007.01.014