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	<title>ELSA &#8211; Science</title>
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	<title>ELSA &#8211; Science</title>
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		<title>Four Blood Markers May Predict Who Becomes Frail in Old Age, Three Global Cohorts Suggest</title>
		<link>https://scienmag.com/four-blood-markers-may-predict-who-becomes-frail-in-old-age-three-global-cohorts-suggest/</link>
		
		<dc:creator><![CDATA[Beatrice Stafford]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 19:24:06 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Aging]]></category>
		<category><![CDATA[aging-related health outcome prediction]]></category>
		<category><![CDATA[biomarker scores for predicting frailty]]></category>
		<category><![CDATA[blood pressure and cholesterol as aging indicators]]></category>
		<category><![CDATA[C-Reactive Protein]]></category>
		<category><![CDATA[C-reactive protein and inflammation in elderly]]></category>
		<category><![CDATA[cardiometabolic vulnerability]]></category>
		<category><![CDATA[CHARLS]]></category>
		<category><![CDATA[Cox proportional hazards]]></category>
		<category><![CDATA[cross-country geriatric research]]></category>
		<category><![CDATA[early detection of frailty in older populations]]></category>
		<category><![CDATA[ELSA]]></category>
		<category><![CDATA[frailty]]></category>
		<category><![CDATA[frailty risk assessment]]></category>
		<category><![CDATA[geriatric biomarker prediction]]></category>
		<category><![CDATA[global aging cohort studies]]></category>
		<category><![CDATA[HbA1c]]></category>
		<category><![CDATA[HDL cholesterol]]></category>
		<category><![CDATA[health biomarkers for elderly care]]></category>
		<category><![CDATA[HRS]]></category>
		<category><![CDATA[longitudinal health studies in older adults]]></category>
		<category><![CDATA[routine clinical measurements in aging]]></category>
		<category><![CDATA[SHAC index]]></category>
		<category><![CDATA[systolic blood pressure]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=231618</guid>

					<description><![CDATA[A fixed-weight score combining blood pressure, HDL cholesterol, HbA1c, and CRP predicts incident frailty across older adults in the United States, England, and China, though its predictive advantage over HbA1c alone remains modest.]]></description>
										<content:encoded><![CDATA[<p>A simple score built from four routine clinical measurements—systolic blood pressure, high-density lipoprotein cholesterol, glycated hemoglobin, and C-reactive protein—appears to flag older adults at heightened risk of developing frailty, according to a new longitudinal analysis published in BMC Geriatrics. The study, led by Zhaobei Cai of Peking University Aerospace Center Hospital and Zhenxiao Ren of the Hospital Nacional de Parapléjicos in Toledo, Spain, and RWTH Aachen University in Germany, set out to answer a deceptively narrow but consequential question: can a biomarker score that was originally calibrated for one aging-related outcome, mobility limitation, still predict a different outcome, incident frailty, without any re-tuning of its mathematical weights? The answer, drawn from more than 12,000 older adults across the United States, England, and China, is a cautious yes—with important caveats that the authors themselves are careful to spell out.</p>
<p>Frailty is one of the most consequential yet elusive syndromes in geriatric medicine. It describes a state of diminished physiological reserve in which relatively minor stressors—a urinary tract infection, a fall, a hospital admission—can trigger disproportionate declines in health, disability, and death. Researchers commonly quantify frailty using a frailty index, a composite measure built from deficits such as chronic diseases, functional limitations, and cognitive symptoms; in this study, a frailty index of 0.25 or higher defined the frail state. Because frailty emerges gradually over years, identifying modifiable physiological signals that precede its onset could open a window for prevention. Cardiometabolic dysfunction—elevated blood pressure, adverse cholesterol profiles, impaired glucose metabolism, and chronic low-grade inflammation—has long been suspected of contributing to this process, but the field has lacked a standardized, transportable way to capture that cumulative vulnerability.</p>
<p>That gap is precisely what the SHAC index was designed to fill. Originally developed for predicting incident mobility limitation, the index combines four biomarkers using fixed weights: systolic blood pressure, high-density lipoprotein cholesterol, glycated hemoglobin (HbA1c), and C-reactive protein (CRP). The crucial methodological twist in the new study is that the authors deliberately did not re-estimate those weights for frailty. Instead, they applied the original fixed-weight formula unchanged, testing whether a score developed for one functional aging outcome retains a meaningful association with a different one. This is a stricter test than most biomarker studies attempt, because re-fitting weights to a new outcome almost always improves apparent performance; a fixed-weight score that still works across outcomes and populations carries stronger evidence of capturing a genuine underlying biological construct.</p>
<p>To test transportability, the researchers turned to three of the world&#8217;s most extensively characterized aging cohorts: the Health and Retirement Study (HRS) in the United States, the English Longitudinal Study of Ageing (ELSA), and the China Health and Retirement Longitudinal Study (CHARLS). Each cohort harmonizes its core survey instruments across waves, allowing researchers to compare aging trajectories across very different economic, dietary, and healthcare contexts. The analysis included adults aged 65 and older who had complete SHAC biomarkers and a valid frailty index at a baseline assessment, and who were not already frail at that baseline. Incident frailty was then tracked longitudinally, defined as reaching a frailty index of at least 0.25 at a subsequent wave. The fully adjusted analytical samples comprised 6,965 HRS participants with 3,334 incident frailty events, 4,150 ELSA participants with 1,192 events, and 1,473 CHARLS participants with 476 events.</p>
<p>The statistical machinery behind the study was correspondingly rigorous. In each cohort, the researchers fitted Cox proportional hazards models estimating hazard ratios for incident frailty per one standard deviation higher SHAC score, using cohort-internal standardization so that the exposure scale was comparable across populations. The fully adjusted cohort-specific estimates were then pooled using random-effects meta-analysis, a technique that explicitly allows for between-cohort heterogeneity rather than assuming a single true effect. The headline result: hazard ratios of 1.12 (95 percent confidence interval 1.08–1.16) in HRS, 1.21 (1.14–1.29) in ELSA, and 1.19 (1.08–1.30) in CHARLS, pooling to a combined hazard ratio of 1.16 (1.10–1.23) with an I-squared heterogeneity statistic of 65.9 percent. In practical terms, each standard deviation increase in the SHAC score was associated with roughly a 12 to 21 percent higher hazard of becoming frail, an association that held in all three countries despite their markedly different baseline cardiometabolic profiles.</p>
<p>The authors did not stop at the primary model. A battery of sensitivity analyses probed the robustness of the finding from multiple angles: alternative ways of scaling the exposure, including a fixed ELSA development-reference scaling that retained positive associations; different definitions of the baseline frailty index; alternative timing of the outcome; various approaches to missing data and selection; competing mortality, addressed through subdistribution hazard models that account for the fact that some participants died before developing frailty; and longitudinally updated SHAC scores that incorporated repeated biomarker measurements over time. Across these analyses, the findings were broadly similar, lending weight to the conclusion that the association is not an artifact of any single modeling choice. Notably, when the models additionally adjusted for the baseline frailty index—a measure of how close participants already were to the frailty threshold—the associations attenuated but did not disappear, to hazard ratios of 1.05 (1.01–1.09) in HRS, 1.13 (1.06–1.20) in ELSA, and 1.12 (1.02–1.23) in CHARLS. This attenuation suggests that part, but not all, of the SHAC signal overlaps with pre-existing health deficits.</p>
<p>Among the four individual biomarkers, HbA1c emerged as the most consistently associated with incident frailty, a finding that aligns with a growing body of evidence linking glycemic dysregulation to accelerated functional decline in later life. Chronic hyperglycemia is implicated in microvascular damage, sarcopenia, and neuromuscular impairment, all of which feed into the frailty phenotype. The comparative performance of the composite score, however, tells a more sobering story. Adding SHAC to prediction models produced only small increases in apparent discrimination—the statistical ability to distinguish who will and will not experience the outcome—and, critically, SHAC did not clearly outperform HbA1c alone. For a score to justify clinical adoption, it must demonstrably add predictive value beyond its components; on that front, the study&#8217;s own data counsel restraint.</p>
<p>The authors are explicit about the limits of what their results support. Cohort-dependent scaling of the biomarkers, the attenuation observed when baseline frailty burden is accounted for, selection effects inherent to longitudinal cohort participation, the substantial between-cohort heterogeneity reflected in the I-squared statistic, and the modest discrimination gains all constrain stronger claims about universal transportability of the score or its use as a clinical prediction tool. In other words, the study establishes an association—consistent across three continents, robust to many sensitivity checks, and biologically plausible—but it does not establish that SHAC is ready for the clinic, nor that the same weight structure applies identically everywhere. This kind of calibrated interpretation is increasingly rare in biomarker research, where overclaimed transportability has repeatedly failed to survive external validation.</p>
<p>Nevertheless, the implications for aging research are significant. If a fixed-weight cardiometabolic vulnerability score, developed for mobility limitation, independently tracks incident frailty across American, English, and Chinese populations, it suggests that a shared physiological axis—spanning blood pressure regulation, lipid metabolism, glucose homeostasis, and systemic inflammation—underlies multiple manifestations of functional aging. That convergence matters for prevention: the same interventions that reduce cardiovascular risk, from glycemic control to anti-inflammatory strategies, might plausibly delay frailty as well. The study received no specific external funding, and it relied on de-identified secondary data from cohorts approved by institutional review boards in the United States, the United Kingdom, and China, with all participants having provided informed consent in the original surveys. Future work, the authors suggest, should focus on refining how such scores are scaled across populations, clarifying their relationship to baseline health status, and testing whether they can genuinely improve prediction beyond simple single-marker measures. For now, the message is measured but encouraging: the biology of frailty may be more unified, and more measurable, than previously thought.</p>
<p><strong>Subject of Research:</strong> Longitudinal association between a fixed-weight cardiometabolic biomarker score and incident frailty in older adults across three international aging cohorts</p>
<p><strong>Article Title:</strong> Cardiometabolic vulnerability and incident frailty across three aging cohorts: a multicohort longitudinal study of HRS, ELSA, and CHARLS</p>
<p><strong>Article References:</strong> Cai, Z., &amp; Ren, Z. (2026). Cardiometabolic vulnerability and incident frailty across three aging cohorts: a multicohort longitudinal study of HRS, ELSA, and CHARLS. <em>BMC Geriatrics</em>. <a href="https://doi.org/10.1186/s12877-026-08417-3" rel="noopener noreferrer">https://doi.org/10.1186/s12877-026-08417-3</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12877-026-08417-3" rel="noopener noreferrer">10.1186/s12877-026-08417-3</a></p>
<p><strong>Keywords:</strong> frailty, cardiometabolic vulnerability, SHAC index, HbA1c, C-reactive protein, systolic blood pressure, HDL cholesterol, HRS, ELSA, CHARLS, aging, Cox proportional hazards</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">231618</post-id>	</item>
		<item>
		<title>New Journal Section Puts Epigenetics on Trial: Ethics, Society and Science Collide</title>
		<link>https://scienmag.com/new-journal-section-puts-epigenetics-on-trial-ethics-society-and-science-collide/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 17:04:37 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[bioethics]]></category>
		<category><![CDATA[biosocial science]]></category>
		<category><![CDATA[CRISPR]]></category>
		<category><![CDATA[DNA Methylation]]></category>
		<category><![CDATA[ELSA]]></category>
		<category><![CDATA[epigenetic editing]]></category>
		<category><![CDATA[epigenetics]]></category>
		<category><![CDATA[epigenetics communications]]></category>
		<category><![CDATA[Epigenetics ethical considerations]]></category>
		<category><![CDATA[ethical challenges in epigenetic modification]]></category>
		<category><![CDATA[gene regulation and environmental influences]]></category>
		<category><![CDATA[interdisciplinarity]]></category>
		<category><![CDATA[interdisciplinary approaches to epigenetics]]></category>
		<category><![CDATA[legal implications of epigenetic data]]></category>
		<category><![CDATA[Public health]]></category>
		<category><![CDATA[public understanding of epigenetics]]></category>
		<category><![CDATA[responsible science and public policy in epigenetics]]></category>
		<category><![CDATA[role of ethics in molecular biology]]></category>
		<category><![CDATA[science and technology studies]]></category>
		<category><![CDATA[social determinants of health]]></category>
		<category><![CDATA[social justice and health disparities in epigenetics]]></category>
		<category><![CDATA[societal consequences of epigenetic discoveries]]></category>
		<category><![CDATA[societal impact of epigenetic research]]></category>
		<category><![CDATA[transgenerational epigenetic inheritance]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=231014</guid>

					<description><![CDATA[The journal Epigenetics Communications has launched a new section, Epigenetics and Society, inviting researchers across disciplines to examine the ethical, legal, social and theoretical dimensions of the burgeoning science of epigenetics.]]></description>
										<content:encoded><![CDATA[<p>Epigenetics has spent the past two decades promising to rewrite the rules of biology. The idea that chemical tags sitting on top of DNA can switch genes on and off, that these tags can be shaped by diet, stress, pollution and poverty, and that some of them might even be passed down through generations, has electrified scientists, unsettled philosophers and captured the public imagination in a way few areas of molecular biology ever have. Now, a journal dedicated to the field is formally acknowledging that this science cannot be understood, or responsibly practised, in isolation from the society that funds it, fears it and hopes to benefit from it. Epigenetics Communications has launched a new section called Epigenetics and Society, a dedicated forum for theoretical, ethical, legal, social and political appraisal of the discipline, and its editors are inviting contributions from well beyond the laboratory bench.</p>
<p>The editorial announcing the section, published as an open-access article in the journal, was written by Luca Chiapperino of the University of Lausanne, Eline Bunnik of Erasmus MC in Rotterdam, and Gerard J. van den Berg of the University of Groningen. Their argument is straightforward but ambitious: epigenetics sits at a crossroads where biology meets the social world so directly that the two cannot be disentangled, and the research community needs a stable venue where life scientists, ethicists, philosophers, historians and social scientists can interrogate the field together. The new section will accept original research, reviews, perspectives and correspondence pieces, and the editors explicitly welcome authors from inside and outside academia. It is an unusual move for a molecular life sciences journal, and it reflects a growing recognition that the questions epigenetics raises are too big for any single discipline to answer alone.</p>
<p>The first pillar of the new section concerns the ethical, legal and social aspects of epigenetic research, often abbreviated to ELSA. The editors point out that this body of scholarship has accumulated for years without settling some of its most fundamental questions. One of the sharpest is the role epigenetics should play in public health promotion. If the science can be read as a molecular account of how social determinants of health, such as deprivation, stress and environmental exposures, become inscribed in our biology and shape disease predispositions, does that strengthen the case for social and community interventions, or does it instead invite a rhetoric of personal responsibility, in which individuals are urged to make positive lifestyle changes to protect their epigenomes? The editorial notes that the ELSA literature remains divided on how public representations of epigenetic knowledge should frame modifiable disease risks, and on what the field implies for the unfair distribution of environmental and transgenerational risks across societies.</p>
<p>Among the most technically provocative issues the section hopes to address is epigenetic editing. Techniques derived from CRISPR-Cas systems can now be repurposed not to cut and rewrite the DNA sequence itself, but to add, remove or reposition the chemical marks that regulate gene expression. Because these marks are, in principle, transient and reversible, epigenetic editing is often assumed to be a safer and less controversial option than genomic editing, which makes permanent, heritable changes to the genetic code. The editors argue that this assumption deserves scrutiny rather than complacency. A decade of debate around genome editing has crystallised a set of ethical intuitions, and the reversible nature of epigenetic modifications challenges them in ways that have not yet been properly dissected. As epigenetic editing approaches clinical translation, the section will seek work that maps the specific concerns and opportunities of the technology on its own terms, rather than treating it as a footnote to the genome editing debate.</p>
<p>The ethical agenda extends to the conduct of research itself. The editors invite contributions on best practices for study design and on the rules of engagement for participants in epigenetic studies, with particular attention to vulnerable populations. This is not an abstract concern. Epigenetic studies increasingly involve refugees, asylum seekers, marginalised communities and people exposed to environmental harms, groups for whom the promise of molecular insight into their suffering carries real risks of stigmatisation, re-identification and exploitation. The section also welcomes ELSA assessments of understudied topics, including the societal concerns attached to the epigenetic engineering of plants, an area where agricultural applications may be outpacing public deliberation. By bringing these questions into a life sciences journal rather than confining them to bioethics periodicals, the editors hope to reach the researchers whose daily decisions actually shape how such studies are designed and communicated.</p>
<p>A second key dimension of the section concerns the clinical promise and peril of epigenetic technologies. The editors are interested in assessments of the utility and limitations of existing and future applications in the diagnosis, stratification and prognosis of disease, along with the risks these applications carry and the models needed for their responsible clinical implementation. Epigenome-wide association studies have proliferated, machine learning approaches are being applied to DNA methylation data to build diagnostic and classification tools, and epigenetic risk-predictive screening for cancers is already being debated. Each of these developments raises questions about validity, interpretability and equity that the editors want examined before, not after, the technologies reach the clinic. The section will serve as a place where the technical literature on biomarkers and screening can be read alongside careful analysis of what these tools mean for patients and health systems.</p>
<p>On a deeper level, the editors encourage submissions that uncover the epigenetic mechanisms and pathways through which socio-economic conditions and life events influence later health outcomes. This is where epigenetics becomes genuinely interdisciplinary in a demanding sense. Epidemiologists and economists have documented transgenerational effects of childhood conditions on the health and education of subsequent generations, and epigenetics offers a candidate molecular substrate for such effects. Studies of this kind, the editorial argues, improve understanding of the long-run implications of social, economic and psychological factors for health and for societal inequality. If adversity leaves molecular traces that shape disease risk decades later, then epigenetics becomes not just a laboratory science but a lens on how inequality is biologically embedded, and potentially reproduced, across lifetimes and generations.</p>
<p>The third pillar of the section addresses the agendas, questions and research practices of epigenetics itself, including how these shape the societal circulation of the knowledge produced. A substantial body of empirical work in Science and Technology Studies has examined the intrinsic biases and limitations of epigenetic research practices, biases that may produce a controversial uptake of the science in public. Scholars in this tradition have analysed, for example, how assumptions about the causal primacy of maternal effects influence research on the developmental origins of health and disease, how gendered imaginaries structure knowledge of epigenetic programming, and how laboratory constructions of early-life adversity frame what counts as an intervention. The editors observe that this work is rarely brought to the attention of life scientists and seldom gains recognition beyond networks of social science collaboration. They are asking Science and Technology Studies scholars to condense their thick socio-anthropological analyses into short perspectives and correspondence articles suitable for a life sciences audience, with the explicit aim of improving the methods, designs and configurations of research that critics have found wanting.</p>
<p>Fourth, the section will serve as an outlet for philosophical, historical and socio-anthropological work on the theoretical and experimental foundations of epigenetics. This literature has interrogated how the field reiterates fundamental questions about life and biology, and how it challenges the established conception of the body as a self-contained entity. Epigenetics straddles disciplinary divides between the life and social sciences, and it straddles research traditions within biology itself, oscillating between mechanism and organicism, reduction and emergence, linear determination and plasticity. The editors argue that these seemingly abstract debates are far from idle. Definitional and methodological disagreements within epigenetics, including disputes over what global methylation measures actually signify and how the epigenetic timeline should be conceptualised, offer a prolific terrain for empirical and conceptual inquiry into foundational notions such as genes, genomes and organisms. They envision the section as a trading zone where theoretical analysis and pragmatic scientific relevance can productively engage with one another.</p>
<p>Underlying the whole enterprise is the notion of the biosocial, a term the editors use to describe a contested experimental space at the crossroads of the social and life sciences, one that captures complex, non-linear social-biological transitions in the shaping of the epigenome and situates biology within its material, social and ecological environments. The section welcomes honest reports on the challenges of interdisciplinary work towards a biosocial science of health, because collaboration, as the editors note, is a loaded practice: the encounter of different research cultures is intricate, power-driven, often frustrating and risky. Extending the journal&#8217;s stated openness to negative data beyond molecular biology, they invite accounts of interdisciplinary experimentations that succeeded and those that did not. The editors believe a venue that connects and integrates different communities of researchers may be a major enabler of a thriving epigenetic science, and that the time is ripe for collaborative approaches capable of structuring an effective contribution of epigenetics to societal flourishing.</p>
<p><strong>Subject of Research:</strong> The ethical, societal and interdisciplinary appraisal of epigenetics research</p>
<p><strong>Article Title:</strong> ‘Epigenetics and Society’: a forum for the theoretical, ethical and societal appraisal of a burgeoning science</p>
<p><strong>Article References:</strong> Chiapperino, L., Bunnik, E., &amp; van den Berg, G. J. (2022). ‘Epigenetics and Society’: a forum for the theoretical, ethical and societal appraisal of a burgeoning science. <em>Epigenetics Communications, 2</em>(1), Article 6. <a href="https://doi.org/10.1186/s43682-022-00013-x" rel="noopener noreferrer">https://doi.org/10.1186/s43682-022-00013-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s43682-022-00013-x" rel="noopener noreferrer">10.1186/s43682-022-00013-x</a></p>
<p><strong>Keywords:</strong> epigenetics, ELSA, bioethics, epigenetic editing, CRISPR, biosocial science, Science and Technology Studies, public health, interdisciplinarity, DNA methylation, social determinants of health, Epigenetics Communications</p>
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