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	<title>cardiovascular health and aging &#8211; Science</title>
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	<title>cardiovascular health and aging &#8211; Science</title>
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		<title>Caloric Restriction Slows Biological Aging Markers Even Beyond Weight Loss</title>
		<link>https://scienmag.com/caloric-restriction-slows-biological-aging-markers-even-beyond-weight-loss/</link>
		
		<dc:creator><![CDATA[Beatrice Stafford]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 16:49:06 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[aging intervention outcomes]]></category>
		<category><![CDATA[aging measurement tools]]></category>
		<category><![CDATA[biological aging]]></category>
		<category><![CDATA[biological aging markers in older adults]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[caloric restriction]]></category>
		<category><![CDATA[Caloric restriction and human aging biomarkers]]></category>
		<category><![CDATA[cardiovascular health and aging]]></category>
		<category><![CDATA[composite blood biomarker index for aging]]></category>
		<category><![CDATA[CRP]]></category>
		<category><![CDATA[effects of calorie reduction on lifespan]]></category>
		<category><![CDATA[Geroscience]]></category>
		<category><![CDATA[IL-6]]></category>
		<category><![CDATA[impact]]></category>
		<category><![CDATA[inflammation]]></category>
		<category><![CDATA[insulin]]></category>
		<category><![CDATA[lifespan extension research]]></category>
		<category><![CDATA[mediation analysis]]></category>
		<category><![CDATA[obesity]]></category>
		<category><![CDATA[older adults]]></category>
		<category><![CDATA[osteoarthritis and aging]]></category>
		<category><![CDATA[physical function in older adults]]></category>
		<category><![CDATA[randomized caloric restriction trials]]></category>
		<category><![CDATA[weight loss]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=196591</guid>

					<description><![CDATA[A pooled analysis of seven randomized trials in older adults shows that caloric restriction improves a composite biomarker index of biological aging, with roughly half of the effect independent of weight loss.]]></description>
										<content:encoded><![CDATA[<p>For nearly a century, scientists have known that cutting calories can extend lifespan in laboratory animals, from yeast to mice. Whether the same holds true for humans has been far harder to establish, largely because the tools for measuring human aging are still maturing. A new study published in GeroScience offers some of the strongest evidence yet that caloric restriction can favorably shift the biology of aging in older adults, and it does so using a composite blood biomarker index designed specifically to track responses to aging interventions.</p>
<p>The research, led by Cassidy A. Guida of Wake Forest University School of Medicine, pooled individual participant data from seven randomized caloric restriction trials involving 829 older adults. The trials, drawn from Wake Forest&#8217;s Integrated Aging Studies Databank and Repository, ranged in duration from six to eighteen months and enrolled participants with overweight or obesity, many with coexisting conditions such as cardiovascular disease, knee osteoarthritis, or low physical function. Participants averaged 67.5 years of age, roughly two-thirds were women, and mean body mass index values ranged from about 30 to 36 kilograms per square meter across the contributing studies.</p>
<p>The biomarker index at the heart of the study was constructed following the framework of the TAME, or Targeting Aging with Metformin, Biomarkers Workgroup, which identified blood-based measures that best capture core hallmarks of aging while remaining practical for large clinical trials. Six biomarkers made the cut: C-reactive protein, interleukin-6, cystatin C, insulin, growth differentiation factor-15, and tumor necrosis factor-receptor 1. Together, these markers span inflammation, insulin signaling, metabolic stress, and renal function, domains that animal research has consistently tied to the biology of dietary restriction. Each participant&#8217;s change in each biomarker was converted to a quintile score, and the scores were summed into a single composite index, an approach intended to smooth out the inter-individual variability that plagues single-biomarker measures.</p>
<p>The results were strikingly consistent. Across the pooled trials, randomization to caloric restriction produced an average weight loss of 7.9 kilograms, compared with 1.2 kilograms in control groups, and was associated with a 2.2-point improvement in the composite biomarker quintile score, a statistically robust effect with every contributing study showing a benefit. Reductions were most pronounced in C-reactive protein, interleukin-6, insulin, and TNF-receptor 1, while cystatin C and GDF-15 showed more heterogeneity across studies. The consistency of the direction of effect, even in trials with different designs, intervention intensities, and follow-up periods, strengthens the case that the index is genuinely responsive to caloric restriction rather than an artifact of any single trial.</p>
<p>The most consequential question, however, was not whether caloric restriction improved the index, but how. Critics have long argued that the benefits of dietary restriction simply reflect weight loss itself rather than any special biology of eating less. To address this, the researchers performed a formal mediation analysis exploiting the randomization design: because assignment to caloric restriction was random, any relationship between the intervention and downstream outcomes could be decomposed into a portion mediated by weight loss and a residual, weight-independent effect.</p>
<p>The answer was nuanced. Roughly 48.5 percent of the effect of caloric restriction on the composite biomarker index was explained by the amount of weight participants lost. When change in body weight was added to the statistical model, the effect of caloric restriction shrank from minus 2.2 to minus 1.2 points, but it did not disappear. Conversely, the effect of weight loss itself dropped from 0.22 to 0.16 points per kilogram when caloric restriction assignment was accounted for. Both pathways, in other words, contribute independently. The residual direct effect of caloric restriction, at minus 1.34 points for the composite score, remained statistically significant, indicating that something beyond the number on the scale is driving the improvement.</p>
<p>That something may involve the nutrient-sensing pathways that decades of animal research have implicated in dietary restriction&#8217;s life-extending effects. Caloric restriction is known to activate AMP-activated protein kinase and sirtuin 1 while suppressing mechanistic target of rapamycin signaling, a trio of molecular switches that promotes autophagy, the cellular housekeeping that clears damaged proteins and organelles. These same pathways temper oxidative stress and chronic low-grade inflammation, providing a plausible biological bridge to the observed reductions in C-reactive protein and interleukin-6 that occurred independent of weight loss. Mitochondrial adaptations and shifts in innate immune cell metabolism may similarly underlie the insulin improvements seen in the trials, though the authors caution that these mechanisms were not directly measured and remain inferential.</p>
<p>The findings resonate with a broader pattern emerging across geroscience. In the landmark CALERIE trial, two years of roughly 12 percent caloric restriction in younger, normal-weight adults improved cardiometabolic risk factors and slowed the pace of aging as measured by the DunedinPACE epigenetic algorithm, yet did not change static estimates of biological age. Meanwhile, secondary analyses of the SELECT trial of semaglutide found that cardiovascular benefits persisted across weight categories and were driven in part by reductions in waist circumference rather than body weight alone. Together with the new pooled analysis, these results suggest that interventions targeting energy balance act through weight-dependent and weight-independent routes, and that responsive biomarker indices may capture these effects more faithfully than fixed biological age estimates.</p>
<p>The study has limitations worth noting. All seven trials came from a single research network with overlapping investigators and similar protocols, which may limit generalizability to more diverse populations. The intervention durations were relatively short, so the results demonstrate that caloric restriction favorably modifies aging-related biomarkers rather than proving reductions in disease or mortality. Individual components of the index, particularly GDF-15 and cystatin C, behaved inconsistently across studies, and whether the composite index correlates with epigenetic clocks or validated frailty measures remains an open question for future work.</p>
<p>Still, the implications are considerable. With roughly 40 percent of American adults aged 65 and older now living with obesity, and obesity a major driver of multimorbidity, frailty, and late-life disability, interventions that target the biology of aging hold enormous public health promise. The demonstration that a practical, six-marker blood index can detect intervention effects across heterogeneous trials positions such indices as potential surrogate endpoints for geroscience trials, potentially accelerating the testing of strategies to extend healthspan. And the finding that about half of caloric restriction&#8217;s benefit operates through pathways that weight loss alone cannot explain reinforces a message that biologists have been echoing from animal studies for decades: eating less does something to the machinery of aging that goes far beyond slimming down.</p>
<p><strong>Subject of Research:</strong> The effect of caloric restriction on biological aging measured by a composite blood biomarker index in older adults</p>
<p><strong>Article Title:</strong> Impact of caloric restriction on biological aging: insights from a composite biomarker index in older adults</p>
<p><strong>Article References:</strong> Guida, C. A., Hsu, F.-C., Neiberg, R., Semelka, C., Chen, H., Kramer, P., Houston, D. K., Nicklas, B., Kritchevsky, S. B., &amp; Miller, M. E. (2026). Impact of caloric restriction on biological aging: insights from a composite biomarker index in older adults. <em>GeroScience</em>. <a href="https://doi.org/10.1007/s11357-026-02529-9" rel="noopener noreferrer">https://doi.org/10.1007/s11357-026-02529-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11357-026-02529-9" rel="noopener noreferrer">10.1007/s11357-026-02529-9</a></p>
<p><strong>Keywords:</strong> caloric restriction, biological aging, biomarkers, geroscience, older adults, inflammation, insulin, weight loss, mediation analysis, CRP, IL-6, Impact</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">196591</post-id>	</item>
		<item>
		<title>Park Features Influence Exercise in Older Adults</title>
		<link>https://scienmag.com/park-features-influence-exercise-in-older-adults/</link>
		
		<dc:creator><![CDATA[Beatrice Stafford]]></dc:creator>
		<pubDate>Wed, 28 Jan 2026 12:29:33 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[cardiovascular health and aging]]></category>
		<category><![CDATA[community parks and older adults]]></category>
		<category><![CDATA[community resources for senior fitness]]></category>
		<category><![CDATA[environmental factors influencing senior activity]]></category>
		<category><![CDATA[geriatric health and exercise]]></category>
		<category><![CDATA[impact of environment on senior exercise]]></category>
		<category><![CDATA[maintaining quality of life for older adults]]></category>
		<category><![CDATA[mental well-being in seniors]]></category>
		<category><![CDATA[park design for elderly health]]></category>
		<category><![CDATA[physical activity levels in seniors]]></category>
		<category><![CDATA[promoting physical activity in elderly]]></category>
		<category><![CDATA[public health policies for older adults]]></category>
		<guid isPermaLink="false">https://scienmag.com/park-features-influence-exercise-in-older-adults/</guid>

					<description><![CDATA[The link between physical activity levels among older adults and the characteristics of community parks is gaining attention in the field of geriatric health. A recent study conducted by a team of researchers, including Cai, Wang, and Qiu, sheds light on this intricate relationship, uncovering potential implications for public health policies aimed at enhancing the [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>The link between physical activity levels among older adults and the characteristics of community parks is gaining attention in the field of geriatric health. A recent study conducted by a team of researchers, including Cai, Wang, and Qiu, sheds light on this intricate relationship, uncovering potential implications for public health policies aimed at enhancing the quality of life for senior citizens. By employing a configural path analysis, this research delves into various factors that influence the ways in which older adults engage with their environments, ultimately advocating for the design and maintenance of community parks that promote physical activity among this demographic.</p>
<p>As we age, maintaining physical health becomes increasingly crucial. Regular physical activity is associated with numerous benefits for older adults, including improved cardiovascular health, enhanced mental well-being, and a better overall quality of life. However, many older individuals struggle to find the motivation or opportunity to engage in physical activities. The built environment, particularly community parks, plays a significant role in facilitating or hindering these activities. The study by Cai and colleagues emphasizes the need to understand how various park characteristics influence physical activity levels in older adults.</p>
<p>The researchers utilized a configural path analysis, a sophisticated statistical method that allows for the examination of multiple pathways and interactions among variables simultaneously. This approach enabled the authors to identify not just direct associations but also the nuances of how different characteristics of community parks can intersect to influence older adults&#8217; activity levels. Factors considered included park accessibility, safety, aesthetic appeal, facilities available, and the social environment that parks foster. Each of these elements contributes to the overall attractiveness of parks as venues for physical activity.</p>
<p>Accessibility emerged as a critical factor in the engagement of older adults with community parks. Parks that are within a reasonable walking distance from residential areas encourage more frequent visits. Conversely, parks that are difficult to access or isolated may deter older residents, thus limiting their opportunities for exercise. The implications of this finding suggest that urban planners and policymakers need to prioritize accessibility in park design, ensuring that parks are conveniently located within communities.</p>
<p>Safety also played a vital role in the study&#8217;s findings. Older adults are often concerned about their safety when engaging in physical activities outside their homes. Features such as well-lit paths, visible park staff, and active community engagement can significantly enhance the perception of safety in these environments. This research indicates that efforts to boost safety perceptions in parks could lead to increased physical activity levels among older adults.</p>
<p>Aesthetic appeal, often underestimated, was shown to have a substantial impact on the willingness of older adults to utilize parks for physical activity. Parks that feature vibrant gardens, water features, and interesting landscapes attract visitors and provide an inviting atmosphere for exercise. This finding aligns with broader research indicating that natural beauty in urban settings contributes to psychological well-being, which is particularly important in encouraging older adults to spend time outdoors and engage in physical activities.</p>
<p>Moreover, the presence of various facilities within parks—such as walking trails, exercise equipment, and benches—encourages older adults to partake in physical activities. Facilities that cater to their specific needs, such as shaded areas for rest and social interaction, are essential. The study reveals that parks designed with dedicated pathways for walking and jogging, accessible exercise equipment, and spaces for socialization significantly increase the likelihood of older adults incorporating physical activity into their daily routines.</p>
<p>Social interactions in community parks have implications that extend beyond mere physical exercise. The research underlines that parks serving as social hubs promote a sense of community and belonging among older adults. Participating in group activities or informal gatherings in parks not only provides physical benefits but also enhances emotional health, combating feelings of isolation and depression that can accompany aging. Thus, the social environment that parks foster can be seen as a crucial component in facilitating physical activity.</p>
<p>The study’s findings suggest that interventions aimed at improving park characteristics could be beneficial in enhancing physical activity levels among older adults. Policymakers and community organizers can work collaboratively to revamp existing park designs, introduce new amenities that cater specifically to older adults, and encourage community engagement. By doing so, they could potentially see a rise in physical activity, leading to improved health outcomes for this population.</p>
<p>Additionally, the research provides a strong foundation for further studies exploring additional variables that may influence physical activity levels among older adults. Factors such as socioeconomic status, cultural background, and personal health conditions are critical and merit deeper investigation. A comprehensive understanding of these influences will allow for a more tailored approach to park design and community health initiatives.</p>
<p>The implications of this research extend beyond academic interest. As communities grapple with aging populations, the need to create spaces that encourage healthy lifestyles becomes increasingly urgent. Investing in community parks not only serves the physical health of older adults but can also significantly reduce healthcare costs associated with inactivity-related diseases. Therefore, strategies that promote active aging and enhance the built environment are essential components of public health planning.</p>
<p>In conclusion, the findings from Cai, Wang, and Qiu&#8217;s research on the relationship between physical activity levels among older adults and community park characteristics highlight a critical avenue for improving the health of our aging population. By leveraging the insights gained from configural path analysis, communities can design parks that are not only aesthetically pleasing but also functional and safe, ultimately fostering environments that promote active lifestyles among older adults. The implications of this research could shape future urban planning and health policy developments, stressing the importance of accessible, safe, and engaging community parks as vital resources in aging societies.</p>
<p>The study serves as a clarion call to urban planners, community leaders, and health professionals to reimagine the role of public spaces in supporting healthy aging. As we look to the future, the integration of thoughtful park design with health initiatives could pave the way for a more vibrant, active, and connected older adult population, and in doing so, nurture the health of entire communities.</p>
<hr />
<p><strong>Subject of Research</strong>: The influence of community park characteristics on physical activity levels in older adults.</p>
<p><strong>Article Title</strong>: The association between physical activity level in older adults and community park characteristics: a configural path analysis.</p>
<p><strong>Article References</strong>:</p>
<p class="c-bibliographic-information__citation">Cai, Y., Wang, Q., Qiu, C. <i>et al.</i> The association between physical activity level in older adults and community park characteristics: a configural path analysis.<br />
                    <i>BMC Geriatr</i>  (2026). https://doi.org/10.1186/s12877-026-07051-3</p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: 10.1186/s12877-026-07051-3</p>
<p><strong>Keywords</strong>: Physical activity, older adults, community parks, health, urban planning, configural path analysis.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">132003</post-id>	</item>
		<item>
		<title>USC Scientists Unveil Innovative Brain Imaging Technique to Detect Hidden Vascular Changes in Aging</title>
		<link>https://scienmag.com/usc-scientists-unveil-innovative-brain-imaging-technique-to-detect-hidden-vascular-changes-in-aging/</link>
		
		<dc:creator><![CDATA[Cassandra Pierce]]></dc:creator>
		<pubDate>Thu, 25 Sep 2025 09:18:15 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Alzheimer's disease detection methods]]></category>
		<category><![CDATA[arterial spin labeling MRI technique]]></category>
		<category><![CDATA[brain imaging techniques]]></category>
		<category><![CDATA[cardiovascular health and aging]]></category>
		<category><![CDATA[cerebral microvasculature pulsatility]]></category>
		<category><![CDATA[dynamic brain imaging advancements]]></category>
		<category><![CDATA[microvascular changes in aging]]></category>
		<category><![CDATA[noninvasive MRI innovation]]></category>
		<category><![CDATA[ultra-high field MRI technology]]></category>
		<category><![CDATA[understanding neurological disorders]]></category>
		<category><![CDATA[USC neuroimaging research]]></category>
		<category><![CDATA[vascular space occupancy imaging]]></category>
		<guid isPermaLink="false">https://scienmag.com/usc-scientists-unveil-innovative-brain-imaging-technique-to-detect-hidden-vascular-changes-in-aging/</guid>

					<description><![CDATA[A revolutionary breakthrough in brain imaging has been achieved by researchers at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of USC. This pioneering development has unveiled the potential to noninvasively visualize the volume changes in the brain’s tiny blood vessels—the microvasculature—as they pulse in rhythm with the [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A revolutionary breakthrough in brain imaging has been achieved by researchers at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of USC. This pioneering development has unveiled the potential to noninvasively visualize the volume changes in the brain’s tiny blood vessels—the microvasculature—as they pulse in rhythm with the heartbeat. This pulsatility, a rhythmic expansion and contraction within these smallest of vessels, may hold vital clues to understanding aging and neurological disorders such as Alzheimer’s disease.</p>
<p>Published recently in the prestigious journal Nature Cardiovascular Research, this study introduces a groundbreaking MRI technique that harnesses ultra-high field 7 Tesla (7T) magnetic resonance imaging to quantify cerebral microvascular volumetric pulsatility in unprecedented detail. By capturing dynamic changes occurring over the cardiac cycle, this approach is the first of its kind to measure microvascular pulsations in living humans safely and noninvasively, bombarding conventional limitations that confined prior investigations primarily to animal models.</p>
<p>At the core of this innovation lies the integration of two advanced MRI techniques: vascular space occupancy (VASO) imaging and arterial spin labeling (ASL). VASO sensitively captures blood volume changes by exploiting differences in blood and tissue magnetization, while ASL noninvasively labels arterial blood water molecules as endogenous tracers, enabling precise tracking of cerebral blood flow. The marriage of these modalities allows detection and high-resolution mapping of volumetric changes in the brain’s microvessels across different cortical layers and white matter regions over time.</p>
<p>This technique has revealed compelling evidence that microvessel pulsatility increases with age, particularly in the brain’s deep white matter—an area critical for the communication of neural signals between brain networks. Deep white matter has long been known to be vulnerable to reduced blood supply from distal arteries as people age. These arteries channel oxygenated blood into the farthest reaches of the brain, and their diminishing function is associated with cognitive decline and neurodegeneration. Enhanced pulsatility in these microvessels might contribute to this pathological process by disrupting the delicate vascular environment and affecting brain homeostasis.</p>
<p>Dr. Danny JJ Wang, professor of neurology and radiology and lead senior author of the study, explains that arterial pulsation serves as the brain’s natural pump, facilitating fluid movement and waste clearance essential to brain health. The novel imaging method provides detailed volumetric data for these microscopic vessels, marking a monumental step forward in evaluating how vascular factors influence brain function throughout aging. This advancement is crucial for elucidating the relationships between vascular health and neurodegenerative diseases, such as Alzheimer’s, where compromised microcirculation plays a significant role.</p>
<p>For decades, researchers have understood that increasing stiffness and pulsatility in large arteries are linked to cerebrovascular disease, stroke, and dementia. However, until now, translating these observations to the scale of the brain’s microvessels has remained unattainable due to methodological constraints. The USC team&#8217;s breakthrough pushes the frontier by elucidating how microvascular dynamics change in vivo in humans and how these alterations correlate with aging and vascular risk factors such as hypertension.</p>
<p>The research led by postdoctoral researcher Fanhua Guo identifies that older adults exhibit significantly heightened microvascular volumetric pulsations, especially when combined with hypertension. This finding is essential because it bridges the explanatory gap between observable large vessel impairments and the microvascular damage often implicated in aging-related cognitive decline and Alzheimer&#8217;s disease. By quantifying these subtle vascular volume changes over the cardiac cycle, the study uncovers new biomarkers that could predict disease progression and target interventions effectively.</p>
<p>Beyond vascular mechanics, excessive microvascular pulsatility may disrupt the function of the brain’s glymphatic system—a recently characterized network responsible for clearing metabolic waste including beta-amyloid proteins that accumulate in Alzheimer’s disease. Dysregulated vascular pulsations could impair glymphatic clearance mechanisms, leading to the accumulation of neurotoxic waste and accelerating the progression of cognitive decline. This link offers profound insights into how vascular health directly influences neurodegenerative pathology.</p>
<p>Arthur W. Toga, director of the Stevens INI, emphasizes the significance of this ability to quantify microvascular pulses in living humans as an enormous leap forward. This novel technology not only enriches our understanding of the aging brain but also holds immense promise for early diagnosis, personalized monitoring, and therapeutic interventions for neurodegenerative diseases, thus potentially transforming clinical neurology and preventive medicine.</p>
<p>Currently, the USC research team is exploring the applicability of this MRI technique in more widely available 3 Tesla MRI systems, which have a broader presence in clinical settings globally. If successfully adapted, this would allow the method to be deployed for routine screening and monitoring of at-risk populations, thus accelerating translational impact from the laboratory to bedside clinical practice.</p>
<p>Future investigations aim to refine the measurement of microvascular pulsatility as a predictive biomarker for cognitive decline and Alzheimer’s disease. This could revolutionize early intervention strategies, enabling clinicians to identify vascular dysfunction before irreversible neurodegenerative damage occurs. Such predictive capability would facilitate timely therapeutic interventions, improving outcomes and quality of life for millions of individuals worldwide.</p>
<p>In conclusion, this advancement marks the dawn of a new era in cerebral microvascular imaging—a transformative tool with the potential to illuminate unseen aspects of brain health and disease. Dr. Wang remarks that their ultimate goal is to integrate this technology into everyday clinical practice, offering new hope for diagnosis, prevention, and treatment strategies in the fight against dementia and related neurological disorders.</p>
<hr />
<p><strong>Subject of Research</strong>: Cerebral microvascular volumetric pulsatility and its implications for brain aging and neurodegenerative diseases</p>
<p><strong>Article Title</strong>: Assessing cerebral microvascular volumetric with high-resolution 4D cerebral blood volume MRI at 7 T</p>
<p><strong>News Publication Date</strong>: 25-Sep-2025</p>
<p><strong>Web References</strong>:<br />
<a href="https://www.nature.com/articles/s44161-025-00722-1">https://www.nature.com/articles/s44161-025-00722-1</a><br />
<a href="http://dx.doi.org/10.1038/s44161-025-00722-1">http://dx.doi.org/10.1038/s44161-025-00722-1</a></p>
<p><strong>References</strong>:<br />
Guo, F., Zhao, C., Shou, Q., Jann, K., Shao, X., Jin, N., &amp; Wang, D. J. J. (2025). Assessing cerebral microvascular volumetric with high-resolution 4D cerebral blood volume MRI at 7 T. <em>Nature Cardiovascular Research</em>. <a href="https://doi.org/10.1038/s44161-025-00722-1">https://doi.org/10.1038/s44161-025-00722-1</a></p>
<p><strong>Image Credits</strong>: Stevens INI</p>
<p><strong>Keywords</strong>: Brain, Microvessels, Alzheimer disease, Dementia, Cognitive disorders, Magnetic resonance imaging, Blood vessels</p>
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