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	<title>age-related physiological decline &#8211; Science</title>
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	<title>age-related physiological decline &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Oxygenaging: How the Body&#8217;s Oxygen Cascade Shapes the Biology of Growing Old</title>
		<link>https://scienmag.com/oxygenaging-how-the-bodys-oxygen-cascade-shapes-the-biology-of-growing-old/</link>
		
		<dc:creator><![CDATA[Beatrice Stafford]]></dc:creator>
		<pubDate>Sun, 13 Sep 2026 01:55:02 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[age-related physiological decline]]></category>
		<category><![CDATA[Aging Biology]]></category>
		<category><![CDATA[Aging Cell]]></category>
		<category><![CDATA[Epigenetic Aging]]></category>
		<category><![CDATA[ferroptosis]]></category>
		<category><![CDATA[Geroscience]]></category>
		<category><![CDATA[HIF-1alpha]]></category>
		<category><![CDATA[hyperbaric oxygen therapy]]></category>
		<category><![CDATA[intermittent hypoxia]]></category>
		<category><![CDATA[lungs and respiration]]></category>
		<category><![CDATA[microvascular rarefaction]]></category>
		<category><![CDATA[microvasculature decline]]></category>
		<category><![CDATA[mitochondrial dysfunction]]></category>
		<category><![CDATA[oxidative phosphorylation]]></category>
		<category><![CDATA[oxygen cascade]]></category>
		<category><![CDATA[oxygen transport system]]></category>
		<category><![CDATA[oxygen's role in aging]]></category>
		<category><![CDATA[Oxygenaging]]></category>
		<category><![CDATA[pseudohypoxia]]></category>
		<category><![CDATA[pulmonary and cellular aging]]></category>
		<category><![CDATA[systems-level aging framework]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=200616</guid>

					<description><![CDATA[A new Aging Cell review proposes Oxygenaging, a framework tracing how age-related breakdown across the oxygen cascade — from lungs to microvasculature to mitochondria — amplifies the hallmarks of aging and offers new gerotherapeutic targets.]]></description>
										<content:encoded><![CDATA[<p>Aging has long been studied through the lens of DNA damage, protein misfolding, and cellular senescence, but a new framework published in Aging Cell argues that the story begins far higher up — in the air we breathe. Researchers led by Stefano Donega, Kenneth W. Fishbein, and Luigi Ferrucci of the National Institute on Aging propose the concept of Oxygenaging: a systems-level physiological framework that traces how the progressive breakdown of the body&#8217;s oxygen transport machinery — from the lungs to the microvasculature to the mitochondria — interacts with and amplifies nearly every established hallmark of aging. The review weaves together decades of fragmented literature into a single narrative arc, following a molecule of oxygen as it descends from the atmosphere through the alveoli, the bloodstream, the capillary bed, and finally into the mitochondrial matrix, where oxidative phosphorylation converts it into the energy that sustains life.</p>
<p>The framework rests on a simple but powerful physiological observation. Every step of the oxygen cascade shows measurable age-related decline. Starting at roughly 21 percent of inspired oxygen at sea level, the partial pressure of oxygen drops sequentially across the alveoli, the arterial blood, the microcirculation, the interstitial space, and the mitochondria. In youth, this cascade is buffered by remarkable resilience: ventilation, cardiac output, capillary recruitment, and mitochondrial function adjust continuously to match oxygen supply with metabolic demand. With age, that adaptive capacity erodes at every level simultaneously. The authors emphasize that Oxygenaging is not simply a state of oxygen deficiency. Rather, it reflects a progressive loss of resilience in the mechanisms that maintain oxygen homeostasis, leaving older organisms increasingly vulnerable to mismatches between oxygen availability and energetic requirements — mismatches that compromise cellular function, tissue integrity, and physiological reserve.</p>
<p>The first step of the cascade, pulmonary gas exchange, deteriorates through well-characterized structural changes. Age-related loss of elastin fibers reduces lung elastic recoil, promoting premature closure of small airways, particularly in gravity-dependent regions of the lung. These poorly ventilated but still perfused units act as functional shunts, widening the alveolar-arterial oxygen gradient and increasing ventilation-perfusion heterogeneity — quantified by the log standard deviation of perfusion distribution, which rises from roughly 0.36 in younger adults to 0.47 in older individuals. Empirical reference equations established decades ago show that age is the single most robust predictor of arterial oxygenation, with arterial oxygen partial pressure falling by approximately 15 to 20 mmHg between mid-life and old age. The review also highlights a less appreciated mechanism: systemic iron deficiency, common in aging, mimics hypoxia at the pulmonary endothelium by inhibiting prolyl hydroxylase domain enzymes, exaggerating hypoxic pulmonary vasoconstriction and placing additional strain on the right ventricle.</p>
<p>The second step, central hemodynamics, compounds the problem. Oxygen delivery is the product of arterial oxygen content and cardiac output, and in aging the decline in maximal heart rate — dropping roughly 25 percent, from about 200 beats per minute in youth to about 150 in old age — becomes the dominant bottleneck on peak oxygen delivery. The aging system also fails to shift the hemoglobin-oxygen dissociation curve rightward at baseline to facilitate tissue oxygen unloading; because systemic 2,3-bisphosphoglycerate levels do not rise with healthy aging, tissues depend heavily on acute stressors such as the heat and acidosis of exercise — the Bohr effect — to release oxygen from hemoglobin. Combined with the flat upper plateau of the dissociation curve, which prevents healthy lung regions from over-compensating for failing ones, these deficits translate into a measurable drop in overall arterial saturation and a progressive constraint on systemic oxygen supply.</p>
<p>The third and arguably most consequential step occurs in the microvasculature. Maximal oxygen uptake, the integrated measure of the entire cascade, falls by approximately 10 percent per decade, limited both by reduced central delivery and by peripheral failure of oxygen extraction. Aging brings microvascular rarefaction, endothelial dysfunction with reduced nitric oxide bioavailability, and increased diffusion distances caused by fibrosis and diminished pericyte coverage. Even when bulk blood flow appears adequate, the aged microvasculature mounts a sluggish hyperemic response to exertion, failing to raise microvascular oxygen pressure precisely when the diffusion gradient into mitochondria is needed most. Notably, the authors point to a metabolic peculiarity of endothelial cells: they rely primarily on glycolysis rather than oxidative phosphorylation, and aging disrupts this specialization, crippling the migratory and proliferative machinery required for angiogenesis. This explains why simply supplementing oxygen may fail to rescue microvascular function in older tissues.</p>
<p>Organ-specific evidence grounds the framework in measurable clinical data. Near-infrared spectroscopy studies show regional cerebral oxygen saturation falling from roughly 69.8 percent in young adults to 62.7 percent in older adults, driven by pericyte degeneration, blood-brain barrier leakage, and uncoupling of endothelial nitric oxide synthase within the neurovascular unit. Renal BOLD-MRI reveals progressive medullary hypoxia as peritubular capillary rarefaction and tubulointerstitial fibrosis enlarge diffusion distances. In skin, transcutaneous oxygen measurements expose a blunted neurogenic vasodilatory response to thermal stress, reflecting extracellular matrix stiffness that mechanically limits vessel expansion. In skeletal muscle, phosphorus-31 magnetic resonance spectroscopy shows that post-exercise phosphocreatine recovery slows from about 37 seconds in young muscle to about 52 seconds in aged muscle, paralleled by reduced mitochondrial content, mild uncoupling via uncoupling protein 3, and instability of respiratory supercomplexes.</p>
<p>At the molecular level, the review describes how the hypoxia-inducible factor system — the ancient oxygen-sensing machinery conserved across metazoans — becomes maladaptive with age. In youth, prolyl hydroxylase domain enzymes use oxygen, alpha-ketoglutarate, and iron to tag HIF-1alpha for degradation, keeping the pathway exquisitely responsive to genuine hypoxia. With aging, declining NAD+ reduces SIRT1 activity and lowers von Hippel-Lindau expression, while accumulating succinate directly inhibits PHD catalytic activity. Both routes converge on the same outcome: stabilization of HIF-1alpha under normal oxygen conditions, a state the authors term chronic pseudohypoxia. This maladaptive activation suppresses mitochondrial biogenesis through the MYC-TFAM axis, impairs mitophagy through lysosomal dysfunction, and leaves a pool of damaged, reactive-oxygen-species-leaking mitochondria. The framework also intersects with iron biology — what the authors call Ferroaging — as an expanded labile iron pool catalyzes the Fenton reaction during reoxygenation, priming vulnerable cells for ferroptosis, an iron-dependent form of cell death.</p>
<p>The consequences ripple through metabolism and the genome. Hyperactive mTOR signaling in aging overrides HIF-1alpha&#8217;s normal metabolic brake, forcing cells to continue energy-consuming anabolic growth despite insufficient oxygen. HIF-1alpha-mediated suppression of lipolysis — the so-called lipid lock — promotes triglyceride accumulation and hepatic steatosis. Meanwhile, oxygen availability physically constrains the dioxygenase enzymes that govern the epigenetic clock: ten-eleven translocation enzymes and JmjC-domain histone demethylases all require oxygen as a co-substrate, so declining tissue oxygen pressure may directly accelerate the accumulation of aberrant methylation patterns characteristic of cellular senescence. Supporting this, the authors&#8217; own recent work showed that intermittent hypoxia in old mice accelerated epigenetic age in lung, spleen, and heart by up to five months — an effect that reversed after return to normoxia. Hypoxia also reshapes the RNA splicing landscape, promoting intron retention and isoform switching that, when dysregulated by age-related transcriptomic noise, may generate aberrant proteins and neoepitopes that provoke immune surveillance.</p>
<p>The framework&#8217;s most provocative implications are therapeutic. The authors survey emerging gerotherapies that deliberately modulate the oxygen cascade: intermittent hypoxia, which in carefully dosed protocols activates neurotrophic BDNF-TrkB signaling and enhances motor recovery after spinal cord injury; hyperbaric oxygen therapy, which exploits the hyperoxic-hypoxic paradox — the rapid pressure drop from over two atmospheres back to sea level — to trigger HIF-1alpha signaling without true hypoxia, with preliminary reports of telomere elongation exceeding 20 percent in immune cells and clearance of senescent T cells; and intermittent hypoxic-hyperoxic training, which alternates low and high oxygen to drive mitophagy-based mitochondrial selection. The authors caution, however, that the hormetic dose-response curve likely shifts with age: interventions beneficial in young organisms may prove toxic in frail older adults whose NRF2-mediated antioxidant buffering is compromised. Sex differences, frailty, and individual variability in hypoxic ventilatory response further narrow the therapeutic window. Their prescription for the field is rigorous: define therapeutic windows tailored to biological rather than chronological age, monitor real-time biomarkers of oxidative stress and mitochondrial function during therapy, and conduct randomized controlled trials stratified by frailty status. Oxygen-sensing pathways, they argue, represent a high-leverage gerotherapeutic target — one that could help decouple chronological age from biological decay and chart a roadmap toward extending human healthspan.</p>
<p><strong>Subject of Research:</strong> Age-related decline in the oxygen transport cascade and its role in the biology of aging</p>
<p><strong>Article Title:</strong> Oxygenaging: A Physiological Framework for Geroscience</p>
<p><strong>Article References:</strong> Donega, S., Fishbein, K. W., Dominelli, P., Herman, A. B., de Cabo, R., Gorospe, M., &amp; Ferrucci, L. (2026). Oxygenaging: A Physiological Framework for Geroscience. <em>Aging Cell, 25</em>(9), Article e70664. <a href="https://doi.org/10.1111/acel.70664" rel="noopener noreferrer">https://doi.org/10.1111/acel.70664</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1111/acel.70664" rel="noopener noreferrer">10.1111/acel.70664</a></p>
<p><strong>Keywords:</strong> Oxygenaging, geroscience, oxygen cascade, HIF-1alpha, mitochondrial dysfunction, microvascular rarefaction, pseudohypoxia, ferroptosis, hyperbaric oxygen therapy, intermittent hypoxia, epigenetic aging, Aging Cell</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">200616</post-id>	</item>
		<item>
		<title>Treatment Goals Shape Outcomes in Critically Ill Nonagenarians</title>
		<link>https://scienmag.com/treatment-goals-shape-outcomes-in-critically-ill-nonagenarians/</link>
		
		<dc:creator><![CDATA[Beatrice Stafford]]></dc:creator>
		<pubDate>Mon, 30 Mar 2026 12:36:47 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[age-related physiological decline]]></category>
		<category><![CDATA[clinical decision-making in elderly care]]></category>
		<category><![CDATA[critically ill elderly patients]]></category>
		<category><![CDATA[functional recovery after critical illness]]></category>
		<category><![CDATA[geriatric critical care outcomes]]></category>
		<category><![CDATA[intensive care unit management for elderly]]></category>
		<category><![CDATA[life expectancy and critical illness management]]></category>
		<category><![CDATA[palliative care versus aggressive treatment]]></category>
		<category><![CDATA[quality of life in oldest-old patients]]></category>
		<category><![CDATA[retrospective observational study in geriatrics]]></category>
		<category><![CDATA[survival rates in nonagenarians]]></category>
		<category><![CDATA[treatment goals in nonagenarians]]></category>
		<guid isPermaLink="false">https://scienmag.com/treatment-goals-shape-outcomes-in-critically-ill-nonagenarians/</guid>

					<description><![CDATA[In the evolving landscape of geriatric critical care, a groundbreaking study has shed new light on the nuanced relationship between treatment objectives and patient outcomes among the oldest-old demographic—nonagenarians, or individuals in their nineties. The retrospective observational analysis, recently published in BMC Geriatrics, rigorously examines how the establishment and prioritization of treatment goals influence survival [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the evolving landscape of geriatric critical care, a groundbreaking study has shed new light on the nuanced relationship between treatment objectives and patient outcomes among the oldest-old demographic—nonagenarians, or individuals in their nineties. The retrospective observational analysis, recently published in BMC Geriatrics, rigorously examines how the establishment and prioritization of treatment goals influence survival rates, functional recovery, and quality of life in critically ill patients aged 90 and above. Given the remarkable increase in life expectancy worldwide, this research arrives at a pivotal moment, aiming to refine care strategies for an increasingly vulnerable segment of the population whose medical needs are among the most complex and understudied.</p>
<p>The study meticulously reviewed clinical data from a diverse cohort of critically ill nonagenarians admitted to intensive care units (ICUs) across multiple centers. By employing robust statistical models and comprehensive patient profiling, the authors were able to parse out distinct correlations between varying treatment goals—ranging from aggressive life-sustaining interventions to more conservative, palliative approaches—and key outcome measures. This level of granularity facilitates a better understanding of how nuanced clinical decision-making can modulate trajectories for patients whose physiological reserves are naturally diminished by age-related decline.</p>
<p>One of the pivotal technical insights the study offers is the characterization of treatment goal stratification according to morbidity burden and baseline functional status. Patients with fewer comorbidities and higher pre-illness independence typically underwent more aggressive therapeutic interventions. In contrast, those with a significant disease burden or marked functional limitations were more frequently managed with goals emphasizing comfort and symptom palliation. This finding underscores the paramount importance of individualized care planning, wherein chronological age is de-emphasized in favor of holistic patient assessment.</p>
<p>The authors deployed advanced survival analysis techniques, including Cox proportional hazards models, to adjust for confounders such as severity of critical illness, frailty scores, and organ dysfunction indices. This rigorous approach confirmed that goal-setting was independently predictive of survival, reinforcing the principle that the intentions articulated at the outset of ICU admission have tangible downstream effects. Notably, patients with explicit escalation of care plans emphasizing life-prolonging treatment had significantly different hazard ratios for mortality compared to those with comfort-centered directives.</p>
<p>Another area of substantial clinical implication revealed in the study is the relationship between treatment goals and post-ICU functional outcomes. The researchers employed standardized scales to assess cognitive and physical function at discharge and follow-up intervals, revealing that aggressive treatment goals, while associated with improved survival, did not universally translate to better functional recovery. This dichotomy raises compelling ethical and medical questions about the balance between quantity and quality of life, highlighting the need for shared decision-making models inclusive of patients, families, and multidisciplinary teams.</p>
<p>Furthermore, the research highlights the variability of treatment goal communication and documentation across institutions and care teams. Inconsistent recording of patient wishes and ambiguous treatment directives can lead to suboptimal alignment between clinical interventions and patient values. The authors advocate for enhanced protocols to ensure clear, early, and ongoing dialogue regarding goals of care, especially in high-stakes, time-critical scenarios typical of ICU admissions. Standardizing these conversations could play a critical role in optimizing care trajectories and respecting patient autonomy.</p>
<p>Technologically, the study leaned on electronic health record (EHR) data mining and natural language processing algorithms to extract and categorize nuanced textual information regarding treatment goals, a methodological innovation that allowed for comprehensive large-scale analysis without sacrificing data richness. This illustrates the growing utility of artificial intelligence in geriatric care research, where unstructured data traditionally posed barriers to large cohort studies.</p>
<p>An important consideration emerging from this study is the impact of treatment goal alignment on healthcare resource utilization. Intensive interventions in very elderly critically ill patients often entail substantial consumption of ICU beds, ventilators, and specialized personnel, raising sustainability concerns amidst growing healthcare demands. By identifying which treatment goals correlate with predictable outcomes, healthcare systems can better allocate resources while avoiding potentially futile care, thus achieving ethical stewardship alongside clinical efficacy.</p>
<p>The retrospective nature of the study, while providing valuable insights, also underscores the need for prospective, randomized trials to further elucidate causal pathways and validate optimal treatment goal frameworks for nonagenarians. Future research directions include integrating patient-reported outcomes, health-related quality of life metrics, and biomarker profiles to refine prognostic models and personalize care plans even further.</p>
<p>In a broader socio-medical context, this study contributes to the ongoing discourse about the aging population and the ethical dilemmas inherent in critical care decisions for the very elderly. It challenges clinicians to transcend ageist heuristics and adopt a more nuanced approach that balances medical possibilities, patient preferences, and societal values. In doing so, it sets the stage for transformative changes in how critical care is conceptualized and delivered for the last decades of life.</p>
<p>Ultimately, the findings emphasize that treatment goals are not mere administrative artifacts but are central determinants of patient experience and outcome in the ICU setting. They serve as navigational beacons guiding therapeutic efforts amidst the complex interplay of biological fragility, comorbidities, and psychosocial factors that characterize this unique patient cohort.</p>
<p>The methodological rigor and practical relevance of this study make it a landmark contribution to geriatric critical care literature. It invites clinicians, ethicists, policymakers, and caregivers to rethink existing paradigms and engage in meaningful dialogues that align medical interventions with the lived realities and aspirations of nonagenarians facing critical illness.</p>
<p>As healthcare systems worldwide grapple with the challenges posed by demographic shifts and increasing longevity, such research offers a blueprint for integrating evidence-based clinical strategies with compassionate, patient-centered care philosophies. It affirms the necessity of personalized medicine approaches and highlights that treatment goals, clearly articulated and thoughtfully implemented, profoundly influence not only survival but the dignity and quality of life of the oldest patients who enter the crucible of critical illness.</p>
<p>The implications extend to care training programs, where education about geriatric syndromes, frailty assessment, and communication skills are paramount. Equipping healthcare professionals to navigate the complexities of goal-setting can improve decision-making processes, reduce moral distress, and foster a culture of respect and empathy toward the aging population.</p>
<p>In conclusion, the retrospective observational study by Raykateeraroj, Kitisin, Lee, and colleagues represents a significant step forward in understanding the interplay between treatment goals and outcomes in critically ill nonagenarians. It underscores the complexity of medical decision-making at the intersection of advanced age and critical illness, advocating for nuanced, patient-centered approaches that honor both the science and the humanity of medicine.</p>
<hr />
<p>Subject of Research: Impact of treatment goals on clinical outcomes in critically ill nonagenarian patients</p>
<p>Article Title: Impact of treatment goals on outcomes in critically ill nonagenarians: a retrospective observational study</p>
<p>Article References:<br />
Raykateeraroj, N., Kitisin, N., Lee, D.K. et al. Impact of treatment goals on outcomes in critically ill nonagenarians: a retrospective observational study. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-07408-8</p>
<p>Image Credits: AI Generated</p>
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