Vitamin B12 is needed in only trace amounts, yet its absence can have far-reaching effects. Two micrograms is an almost unimaginably small amount. It weighs less than a tiny fragment of a grain of table salt. Yet adults need only around this amount of vitamin B12 each day, depending on the guideline used, to support [...]Lower vitamin C levels were linked to reduced brain volume and weaker neural connectivity in older adults, suggesting a potential connection between nutrition and brain health. Could a common vitamin help preserve the brain as we age? A new study of more than 2,000 older adults in Japan found that people with lower levels of [...]The aging brain may be far more capable of growth and improvement than scientists once believed. A large three-year study from researchers at The University of Texas at Dallas’ Center for BrainHealth (CBH) is challenging a long-standing assumption about aging. The findings suggest that mental sharpness is not destined to decline over time and that [...]It's really not that big of an effort, and it's absolutely worth it.Scientists say aging may expose decades of hidden damage, helping trigger diseases that seem to appear out of nowhere in later life. A recent review published in Aging-US explores a fresh way of understanding why aging is so closely linked to chronic disease. In the paper, “Aging as a multifactorial disorder with two stages,” researchers [...]Older adults with higher vitamin C levels showed stronger brain-network markers.
In the ever-evolving landscape of energy storage technologies, the lithium–sulfur (Li–S) battery stands out for its promise to deliver unmatched energy density and reduced costs compared to traditional lithium-ion batteries. However, progress toward commercial viability has been hampered by complex electrochemical challenges, particularly those involving interfacial charge transfer dynamics. A new study, recently published in Nature, unveils groundbreaking insights into the intricate reaction pathways occurring at solid–liquid interfaces within Li–S batteries, illuminating mechanisms that govern lithium sulfide deposition under realistic, lean electrolyte conditions.
The difficulty in understanding and controlling the conversion of lithium polysulfides (LiPSs) during battery cycling stems largely from the dynamic and highly concentrated nature of reactant distributions at the electrode–electrolyte interface. In these environments, the balance between surface-bound and dissolved species dictates the overall electrochemical performance. The new research deploys advanced in situ liquid-cell electron microscopy techniques to directly visualize these sophisticated concentration gradients, a feat that has eluded scientists due to the liquid phase’s complexity and the scales involved.
What emerges from this study is a revelation of concentration-driven phase segregation phenomena right at the interfacial layers, termed high-concentration interfacial layers (HCILs). These HCILs form as LiPSs aggregate in the immediate vicinity of the electrode surface during cycling, dramatically altering the local reaction environment. This segregation is not merely a passive occurrence; it actively directs charge-transfer dynamics by establishing competitive conditions between surface-mediated and solution-based pathways. The delicate interplay in these zones influences where and how lithium sulfide (Li₂S) nucleates and grows, directly impacting the battery’s capacity retention and cycling stability.
Complementing the microscopy observations, computational explorations using density functional theory (DFT) provide a molecular-level understanding of how LiPS clusters modify their electronic structure upon aggregation. The study identifies that the molecular geometries and orbital hybridizations evolve as LiPSs coalesce, resulting in enhanced electronic interactions that facilitate charge transfer through the concentrated clusters. This phenomenon fundamentally challenges previously held models which treated LiPS species largely as isolated entities, offering a new paradigm that accounts for collective behavior in highly concentrated solutions.
The practical implications of these mechanistic insights are far-reaching. By comprehending how HCILs govern interfacial reaction pathways, the researchers have engineered electrodes that strategically balance surface and solution reactions amidst high LiPS concentrations. These meticulously optimized electrodes enable impressive fast-charging capabilities—reaching rates up to 4 C with current densities of 26.8 mA cm⁻²—without compromising energy density, which itself surges beyond 400 Wh kg⁻¹. Such milestones represent a substantial leap forward in the achievable performance metrics for Li–S battery technology.
This study’s significance extends beyond the immediate Li–S chemistry, addressing a broader challenge in electrochemical energy conversion: capturing and controlling complex interfacial phenomena under dynamically varying concentrations. The in situ liquid-cell electron microscopy method establishes a powerful approach for observing reactive species and phase evolution directly in their native electrochemical environment. As such, it holds promise to transform research across a host of energy storage and catalysis systems where interfacial reactions dictate overall function.
Notably, this work also clarifies why lean electrolyte conditions—essential for practical high-energy devices—have historically been so difficult to optimize. The rich detail uncovered concerning phase segregation and charge transfer competition suggests that managing HCIL formation and stability may be the key to unlocking robust Li₂S deposition and dissolution cycles. Hence, this strategy could mitigate common pitfalls like cathode passivation and capacity fading, which have limited long-term operational viability.
The fusion of experimental visualization with robust theoretical modeling provides a comprehensive framework that future researchers and engineers can exploit to rationally design electrode interfaces. Moving past empirical trial-and-error, the ability to predict and control molecular aggregation behavior and its effects on electronic properties opens new avenues for tuning battery chemistry on an atomic scale. Such sophistication could accelerate the sustainable deployment of lithium–sulfur batteries within electric vehicles, grid storage, and portable electronics.
Moreover, the study emphasizes the profound impact of molecular-level phenomena on macroscopic performance metrics such as charging speed and energy density. By showing that the electrochemical environment at the nanoscale directly modulates reaction kinetics and phase evolution, this research bridges a critical knowledge gap between fundamental science and technological application. It highlights the necessity for integrated approaches combining real-time imaging, theoretical insight, and materials engineering.
Looking ahead, the insights gained are poised to influence material selection, electrolyte formulation, and cell architecture design. Tailoring these elements to favor desirable HCIL characteristics could lead to batteries that not only charge rapidly and store vast amounts of energy but also maintain stability over many cycles. Furthermore, the foundational principles elucidated may inspire innovations beyond lithium–sulfur systems, potentially transforming a range of emerging battery chemistries where interface complexity rules.
In conclusion, this remarkable study marks a pivotal advance in understanding and harnessing the subtleties of interfacial charge transfer within lithium–sulfur batteries. By unraveling the competitive reactions shaped by concentration gradients and molecular aggregation, it charts a pathway toward high-performance batteries ready for real-world demands. As energy storage solutions continue to underpin the clean energy transition, such elegant fusion of fundamental science and engineering innovation will be indispensable for propelling next-generation technologies.
Subject of Research: Charge transfer and reaction mechanisms at solid–liquid interfaces in lithium–sulfur batteries.
Article Title: Revealing competitive interfacial reactions in high-energy Li–S batteries.
Article References:
Zhou, S., Pei, F., Zheng, Q. et al. Revealing competitive interfacial reactions in high-energy Li–S batteries. Nature (2026). https://doi.org/10.1038/s41586-025-09473-2
Image Credits: AI Generated
In a groundbreaking study set to reshape our understanding of aging, researchers have delved into the intricate relationship between insulin-like growth factor-1 (IGF-1) and various aspects of gait dynamics in older adults. This pioneering investigation leverages wearable sensor technology to decode how IGF-1 influences gait vigor, symmetry, and stability—parameters crucial to mobility and fall prevention in aging populations. As the global demographic shifts towards an older average age, insights like these are not only timely but carry profound implications for enhancing quality of life and reducing healthcare burdens associated with age-related mobility decline.
IGF-1, a hormone structurally similar to insulin, plays a pivotal role in growth and development, muscle function, and neuroprotection. Its significance extends beyond mere biochemical pathways; it acts as a linchpin connecting endocrine health to physical capability in later years. The scientific community has long speculated about the hormone’s potential role in preserving or enhancing motor functions, but empirical evidence directly relating IGF-1 levels with gait characteristics in older adults has remained scarce until now.
This study distinguishes itself through the innovative use of wearable sensor arrays, marking a shift from traditional laboratory-based gait analysis to more ecologically valid, real-world assessments. These sensors capture subtle variations in gait patterns, including vigor, which refers to the intensity and power behind each step; symmetry, the evenness of movement between left and right limbs; and stability, the ability to maintain balance and resist destabilizing forces. Such metrics provide a multidimensional view of an individual’s mobility profile, transcending simplistic measures like walking speed.
Collecting data from a robust cohort of older adults, the researchers meticulously correlated circulating levels of IGF-1 with recorded gait parameters. What emerged was a nuanced portrait revealing that higher IGF-1 concentrations were generally associated with greater gait vigor and improved symmetry, suggesting that this hormone might underpin both the muscular strength and neuromuscular coordination essential for efficient walking. Conversely, diminished IGF-1 corresponded with compromised gait performance, potentially flagging individuals at risk for mobility-related complications.
One of the most striking findings centers on gait stability, a critical factor in fall prevention among seniors. Falls constitute a leading cause of injury and mortality in the elderly population, often triggered by instability during locomotion. The study’s data indicated that participants with elevated IGF-1 exhibited enhanced stability metrics, inferring a protective role for this hormone in maintaining balance and preventing falls. This connection not only advances scientific understanding but also lays groundwork for targeted interventions.
The implications of the study extend into clinical practice, where wearable sensor technology could be harnessed alongside biomarker profiling to develop personalized mobility enhancement strategies. This dual approach holds promise for early detection of decline in motor function and proactive management through tailored exercise regimens or pharmacological modulation of IGF-1 pathways. Such innovations resonate strongly with the burgeoning field of precision medicine in geriatric care.
Moreover, the study casts fresh light on the complex interaction between endocrine health and musculoskeletal performance, hinting at underlying mechanisms that may involve IGF-1’s influence on muscle mass maintenance, neuroplasticity, and even cognitive function related to motor planning. This holistic perspective suggests that interventions aimed at modulating IGF-1 could yield multifaceted benefits, from physical mobility gains to mental well-being enhancements.
Future research inspired by these findings is poised to explore longitudinal impacts of IGF-1 modulation and its potential synergistic effects when combined with lifestyle modifications such as resistance training or nutritional optimization. The integration of wearable sensor data streams with longitudinal biochemical assays could unlock predictive models for decline and recovery patterns, setting a new standard in aging research methodologies.
Importantly, this study also exemplifies the transformative power of wearable technology in health sciences, shifting the paradigm towards continuous monitoring and real-time feedback. Such technologies empower individuals and clinicians alike with actionable insights, fostering a proactive approach to aging gracefully and independently.
In summary, this research elucidates a pivotal hormonal link influencing the subtle dynamics of gait, a vital indicator of overall health and autonomy in older adults. By marrying cutting-edge sensor technology with biochemical analytics, it opens avenues for innovative diagnostic and therapeutic tools that hold great promise for mitigating age-associated mobility challenges.
As the population ages globally, findings like these not only offer hope but also a scientific roadmap to extend the healthspan of older adults, promoting not just longer life but better quality of movement and function. This convergence of endocrinology, biomechanics, and wearable tech heralds an exciting era in gerontological research and care.
The study’s authors advocate for a multidisciplinary approach, integrating endocrinologists, biomechanists, geriatricians, and data scientists to fully harness the potential of these insights. The convergence of expertise is paramount to translating molecular findings into tangible health outcomes for the elderly demographics worldwide.
In closing, the exploration of insulin-like growth factor-1 as a biomarker intimately linked with gait parameters embodies a critical frontier in aging research. With wearable sensors providing real-world data granularity, the path is paved to innovate not only diagnostics but comprehensive management strategies to preserve mobility and independence, core facets of human dignity and quality of life.
Subject of Research: Associations of insulin-like growth factor-1 (IGF-1) with gait vigor, symmetry, and stability metrics in older adults using wearable sensor technology
Article Title: Associations of insulin-like growth factor-1 with gait vigor, symmetry, and stability metrics measured by wearable sensors in older adults
Article References: Zhang, C., Liu, Y., Zhang, Y. et al. Associations of insulin-like growth factor-1 with gait vigor, symmetry, and stability metrics measured by wearable sensors in older adults. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-07822-y
Image Credits: AI Generated
Often hailed as “the window to the soul,” the human eye has long fascinated scientists and philosophers alike. However, beyond its poetic allure, emerging research suggests that the eyes provide a vital window into the health of the brain. A groundbreaking new study spearheaded by the University of Florida’s biomedical engineering department has unveiled a transformative approach to predicting Alzheimer’s disease risk factors by analyzing retinal photographs with cutting-edge deep learning algorithms. This development promises to revolutionize early detection and intervention for one of the most devastating neurodegenerative diseases.
Traditionally, diagnosing Alzheimer’s disease has been a challenge due to its insidious onset and prolonged development over decades. Most diagnostic protocols focus on detecting the disease in its later stages, by which time significant, irreversible brain damage has already occurred. Recognizing this limitation, Dr. Ruogu Fang and her interdisciplinary team leveraged advances in artificial intelligence and biomedicine to explore the retina—a part of the central nervous system accessible via non-invasive imaging—as a potential biosensor for Alzheimer’s risk.
The study capitalized on a rich database of over 40,000 retinal images collected from the UK Biobank, a comprehensive health resource with longitudinal patient data. Retinal photography is commonly conducted during routine eye exams, diabetes management, glaucoma monitoring, and cataract assessments. By harnessing these widely available, inexpensive images, the research team circumvented the need for costly, invasive, or logistically complex diagnostic tools such as MRI or PET scans, thus holding promise for scalable, population-wide screening.
Employing deep learning, a subset of machine learning characterized by neural networks modeled after the human brain, the researchers developed an AI framework that scrutinized retinal morphology. This model was able to discern subtle variations in retinal arteries, veins, and the optic nerve head, features imperceptible to the human eye but correlated strongly with known risk factors for Alzheimer’s disease. Such morphological markers serve as proxies for neurovascular health, which is crucial given Alzheimer’s recognized association with vascular impairment.
One of the most striking revelations of this research was the model’s capacity not only to predict intrinsic biological traits such as sex and blood pressure but also modifiable lifestyle factors that influence Alzheimer’s risk. The AI effectively inferred behaviors like smoking, alcohol consumption, and even insomnia from retinal images alone. This objective measurement circumvents the notorious unreliability of self-reported lifestyle data, often plagued by bias and inaccuracies, thereby enriching risk assessment precision.
As Dr. Fang points out, retinal morphology functions less like a mere clinical questionnaire and more like an integrative biological sensor reflecting a cumulative lifetime burden of neurovascular and lifestyle insults. This conceptual shift underscores the retina’s role in encapsulating decades of physiological data, transforming retinal imaging into a powerful tool for capturing both present health and future vulnerability.
Furthermore, the implications extend beyond risk prediction. Identifying individuals with early signs of retinal changes could trigger timely clinical interventions long before cognitive symptoms manifest. Such preclinical detection enables the implementation of protective lifestyle adjustments, pharmacological therapies, or cognitive training programs designed to delay or mitigate Alzheimer’s progression.
The pioneering work built on previous findings from Fang’s group that demonstrated retinal images’ utility in detecting active Alzheimer’s disease cases. However, this new model pioneers the field by focusing on prodromal markers and risk factors instead of established dementia, bridging a critical gap in neurodegenerative diagnostics.
Importantly, the use of retinal photographs democratizes neurovascular health monitoring. Since retinal imaging is non-invasive, accessible, and affordable, it offers the prospect of integrating brain health assessment into routine eye care, thus expanding preventive neurology beyond specialized clinical settings.
This research also exemplifies the synergy between computational science and biomedical engineering. By combining sophisticated image analysis algorithms with large-scale patient data, it transcends traditional diagnostic constraints, marrying technology with medicine in a profoundly impactful manner.
While challenges remain, including the need for further validation across diverse populations and integration with other biomarkers, this study sets a new paradigm for early Alzheimer’s disease risk stratification. The possibility of preemptive interventions guided by retinal AI analysis heralds a future where the devastating trajectory of Alzheimer’s may be altered through timely and personalized healthcare.
In summary, the novel application of deep learning to retinal photographs opens an unprecedented window into brain health, heralding a new era of precision neurodiagnostics. It moves us closer to the long-sought goal of identifying Alzheimer’s risk decades in advance, fostering opportunities for early intervention and ultimately, better patient outcomes.
Subject of Research: People
Article Title: Prediction of Alzheimer’s disease risk factors from retinal images via deep learning: Development and validation of biologically relevant morphological associations in the UK Biobank
News Publication Date: 16-Jun-2026
Web References:
DOI: 10.1177/13872877261457650
Alzheimer’s disease, Neurodegenerative diseases, Neurological disorders, Eye, Retina, Artificial intelligence, Image analysis, Deep learning, Biomedical engineering, Neurovascular integrity, Retinal biomarkers, Predictive modeling
In the complex landscape of brain development, the formation of the brain’s protective barriers—the blood-brain barrier (BBB) and the blood-cerebrospinal fluid (CSF) barrier—has long fascinated neuroscientists. These barriers are composed of highly specialized cells that serve a critical function: permitting necessary nutrients to enter the brain while preventing harmful substances, pathogens, and toxins circulating in the bloodstream from crossing into the delicate neural environment. Despite a deep understanding of their function, the cellular mechanisms orchestrating their assembly during embryogenesis have remained elusive. A groundbreaking study led by researchers at the University of California San Diego, recently published in Cell, unveils a surprising and paradigm-shifting contributor to brain barrier development: cellular senescence.
Cellular senescence is traditionally characterized as a permanent cessation of cell division, commonly associated with aging and pathology. These so-called “zombie” cells, which remain metabolically active but fail to proliferate, accumulate in aging tissues, contributing to chronic inflammation, tissue dysfunction, and cognitive decline. As a consequence, senescent cells have become key targets in developing therapeutic strategies to mitigate age-related diseases. However, recent evidence challenges the simplistic association of senescence solely with aging and damage. Instead, senescence appears highly context-dependent, playing complex and sometimes beneficial roles in development and healing.
Emerging studies have revealed transient senescent cell populations in mouse embryos during the formation of limbs and kidneys, as well as in wound healing contexts, where senescence promotes tissue repair. These discoveries suggest that senescence may be an evolutionarily conserved mechanism to guide tissue remodeling and regeneration when temporally controlled. The UC San Diego research team, led by Assistant Professor Hiruy Meharena, has extended this concept into the realm of brain development, uncovering diverse senescence-associated cell states that actively contribute to constructing the brain’s vital protective barriers.
Through a multifaceted approach combining single-cell RNA sequencing, advanced imaging, and precise genetic lineage tracing in developing mouse brains, the investigators identified three distinct cell types that transiently or persistently enter senescence during the formation of the BBB and blood-CSF barrier. These cell types include vascular endothelial cells, brain-resident macrophages, and choroid plexus epithelial cells, each exhibiting unique senescence profiles and functional roles in the brain’s developmental timeline.
Vascular endothelial cells, which line the embryonic blood vessels, and brain-resident macrophages engage senescence transiently during critical windows of brain vascular remodeling and patterning. These senescent states appear to fine-tune the formation of the intricate vascular network essential for establishing the highly selective BBB, coordinating cellular interactions and molecular signaling pathways that regulate tight junction formation and barrier integrity. This temporary senescent phase helps orchestrate the vascular architecture that prevents harmful molecules in the blood from infiltrating brain tissue.
In contrast, choroid plexus epithelial cells—responsible for generating cerebrospinal fluid and forming the blood-CSF barrier—exhibit a persistent senescence-like state that endures beyond embryonic development into adulthood. This finding defies the prevailing dogma that developmental senescence is exclusively transient and suggests a novel dimension of senescence’s role in maintaining barrier function over the lifespan. The sustained senescent phenotype in these epithelial cells likely supports the continuous protective and homeostatic functions of the blood-CSF barrier, which plays a critical role in brain fluid regulation and immune surveillance.
One of the study’s most unexpected revelations emerged when the researchers experimentally ablated senescent cells during embryogenesis. The resulting mice exhibited marked abnormalities in the structural and functional development of both brain barriers, accompanied by disrupted fluid balance within the central nervous system. These defects underscore the indispensability of senescent cells in normal brain barrier formation and highlight the complex interplay between senescence and tissue morphogenesis.
This nuanced view of senescence challenges the traditional perception of a monolithic, detrimental “senescence program,” revealing instead a spectrum of senescence-associated cell states tailored to specific developmental contexts and cell types. Senescence acts not as a simple arrest signal but as a dynamic, multifaceted process facilitating intercellular cooperation during neurovascular development. It integrates molecular cues that modulate cell behavior, extracellular matrix remodeling, and immune cell function to sculpt the brain’s defensive frontiers.
The implications of these findings extend beyond developmental biology into the pathophysiology of brain disorders. Since the integrity of the BBB and blood-CSF barrier is compromised in neurodegenerative diseases, stroke, and neuroinflammation, understanding the diverse roles of senescent cells in barrier biology may herald new therapeutic avenues for restoring barrier function and mitigating neurological deficits. The UC San Diego team is now probing how senescence-related mechanisms unfold in disease contexts, aiming to decipher whether modulating senescent cell populations can ameliorate or prevent barrier dysfunction.
Moreover, the identification of persistent senescence in adult choroid plexus cells prompts intriguing questions about the balance between beneficial senescence and potential chronic senescent cell accumulation contributing to pathology. Future research will explore how this persistent senescence is regulated and whether it participates in age-related changes in brain fluid dynamics or susceptibility to CNS infections.
This research challenges the classical narrative that equates senescence with detrimental aging by elucidating its fundamental, constructive roles in brain development. It elevates the concept of senescence from a pathological endpoint to an essential, adaptive cellular state finely tuned in time and space. By redefining senescence as a developmental and homeostatic facilitator, the study sets a new trajectory for investigating cellular aging, brain barrier biology, and neurovascular health.
As neuroscience embraces the complexity of cellular states within the brain’s microenvironment, these insights offer a richer, more integrative framework. The study’s comprehensive use of cutting-edge genomic, imaging, and genetic tools exemplifies the power of modern neurobiology to unravel the elusive choreography underlying brain structure and function. Continued exploration of developmental senescence promises to deepen our understanding of brain physiology and opens transformative possibilities for innovative treatments targeting the blood-brain and blood-CSF barriers across the lifespan.
Subject of Research: Animals
Article Title: Persistent and transient senescent cells contribute to brain barrier development
News Publication Date: 10-Jun-2026
Web References: https://www.cell.com/cell/fulltext/S0092-8674(26)00581-7
References: DOI 10.1016/j.cell.2026.05.022
Image Credits: Ella Maru Studio, conceptualized by Ashley Watson and Hiruy Meharena
Keywords: Cellular neuroscience, cellular senescence, developmental neuroscience, molecular neuroscience, cellular physiology, cell development, cellular processes
A groundbreaking fluorescent reporter enabling real-time visualization of biologically active iron and oxygen at the single-cell level inside living organisms has been developed by researchers at the Institute of Science Tokyo. This revolutionary tool, named LiON (labile iron and oxygen notifier), ushers in a new era for cellular biology by offering unprecedented insight into the dynamic interplay and distribution of these essential elements within living tissues. Published in the esteemed journal Cell Reports Methods, this innovation promises to transform the study of fundamental physiological processes and complex diseases, from oncology and liver pathology to neurodegenerative disorders and aging.
Iron and oxygen are indispensable to cellular function, acting as core contributors to energy production, metabolic regulation, and DNA synthesis. Despite their vital roles, maintaining the delicate balance and spatial distribution of labile ferrous iron and reactive oxygen species remains critical, as disruptions often lead to cellular damage and disease. Historically, the challenge has been the absence of imaging tools capable of monitoring these elements within living cells at sufficient resolution, particularly differentiating biologically active forms from inert reservoirs.
Traditional methods of detecting iron, such as histochemical staining or mass spectrometry, require fixed tissue samples, offering only static snapshots devoid of temporal context. Although advanced clinical imaging modalities like magnetic resonance imaging enable in vivo iron mapping, they lack cellular resolution and fail to discriminate between active and stored iron pools. This limitation impairs the ability to study cellular heterogeneity and microenvironmental influences critical to disease pathogenesis.
To bridge this gap, the team led by Professor Toshiro Moroishi and doctoral researcher Ayato Maeda ingeniously exploited the iron- and oxygen-sensitive regulatory domain of FBXL5, a protein known to undergo degradation in low-iron and low-oxygen conditions. By genetically fusing this domain to a red fluorescent protein while coupling it with a stable green fluorescent protein, they engineered a ratiometric biosensor. Variations in red-to-green fluorescence ratios directly reflect intracellular labile iron and oxygen levels, enabling precise, quantitative assessments at single-cell resolution in living tissues.
Generating transgenic mice expressing LiON, the investigators revealed remarkable gradients and heterogeneity in iron and oxygen distribution across various organs and within homogeneous cell populations. For instance, they identified spatially distinct iron accumulation proximal to portal veins in the liver, highlighting areas susceptible to oxidative stress and metabolic dysfunction. These nuanced observations suggest complex regulatory mechanisms governing iron homeostasis that could not previously be elucidated in vivo.
Beyond fundamental biology, the capacity to monitor labile iron and oxygen in living systems has profound clinical implications. Iron dysregulation and hypoxia are hallmarks of cancer progression, neurodegeneration, and age-related tissue decline. The ability to dynamically track these parameters within specific cell types allows for the investigation of pathophysiological processes at an unprecedented scale, facilitating the development and evaluation of targeted therapies.
Importantly, the modular genetic design of LiON enables conditional activation in defined tissues or cell populations using well-established genetic tools. This versatility empowers researchers to tailor investigations according to disease models or biological questions, drastically expanding the utility of this fluorescent reporter across scientific disciplines. It also paves the way for high-throughput screening approaches and longitudinal studies previously unattainable.
Technically, the LiON sensor leverages competitive degradation pathways mediated by FBXL5’s hemerythrin-like domain, which senses iron and oxygen availability to regulate protein stability. When iron and oxygen are sufficient, FBXL5 remains stable, maintaining the red fluorescence. Under conditions of deficiency, FBXL5 is degraded, reducing red fluorescence and shifting the fluorescence ratio. By normalizing against stable green fluorescence, this ratiometric approach cancels out confounding factors such as expression levels or photobleaching, ensuring robust quantification.
Further development of LiON may enable integration with multiphoton or super-resolution microscopy, amplifying the ability to investigate cellular metabolism and microenvironmental niches in unprecedented detail. Moreover, its application in live imaging models can accelerate translational research by offering real-time insights into therapeutic interventions and disease progression, a vital step toward precision medicine.
The researchers emphasize that understanding heterogeneity in iron and oxygen management at the single-cell level will clarify diverse cellular responses within tissues, facilitating the identification of vulnerable or resistant cell populations. This information is invaluable for unraveling mechanisms underpinning complex diseases, optimizing drug delivery, and minimizing off-target effects.
As the first fluorescent reporter capable of in vivo, single-cell resolution imaging of labile iron and oxygen, LiON represents a transformative leap forward. The integration of this tool into mainstream biomedical research has the potential to catalyze breakthroughs spanning from fundamental cell biology to clinical therapeutics, establishing a new paradigm in the visualization and understanding of elemental biology.
In the words of Professor Moroishi, “LiON opens a window into cellular microenvironments that were previously invisible, enabling us to observe and quantify critical biochemical landscapes that dictate health and disease. We anticipate that this technology will become an indispensable asset across many branches of life science research.”
With the establishment of the Institute of Science Tokyo, a visionary new institution formed through the union of Tokyo Medical and Dental University and Tokyo Institute of Technology, this breakthrough exemplifies a commitment to pioneering innovative science aimed at enhancing human well-being. The convergence of multidisciplinary expertise and cutting-edge technology exemplified by LiON underscores the promise of collaborative research to address some of the most pressing biomedical challenges of our time.
Subject of Research: Animals
Article Title: In vivo visualization of bioactive iron and oxygen using LiON, the labile iron and oxygen notifier
News Publication Date: 8-May-2026
Web References: DOI: 10.1016/j.crmeth.2026.101431
Image Credits: Institute of Science Tokyo
Keywords: Life sciences, Cell biology, Fluorescent proteins, Biomolecules, Biochemistry, Iron, Oxygen, Human health, Diseases and disorders, Neurodegenerative diseases, Cancer research, Clinical medicine
A groundbreaking new study leveraging the China Health and Retirement Longitudinal Study (CHARLS) data has illuminated the intricate relationship between the cardiometabolic index (CMI) and intrinsic capacity in older adults. As populations worldwide continue to age, understanding the multifaceted determinants of healthy aging becomes paramount. This fresh research, published in BMC Geriatrics in 2026, delivers critical insights that could revolutionize how geriatrics and preventive medicine approach elder care and chronic disease management.
Intrinsic capacity, a concept increasingly central to gerontology, represents the composite of all the physical and mental capacities an individual can draw upon. It encompasses diverse domains such as cognition, locomotion, sensory functions, psychological health, and vitality. Maintaining intrinsic capacity is essential for older adults to preserve functional independence and quality of life. The new investigation specifically examined how cardiometabolic health, a field that reflects the interplay of heart health, metabolism, and vascular function, correlates with intrinsic capacity trajectories among the elderly.
At the heart of this research is the cardiometabolic index, a quantitative marker amalgamating several metabolic risk factors—including waist circumference, triglyceride levels, and fasting glucose—as well as blood pressure and lipid profiles. Elevated CMI indicates heightened metabolic dysfunction and cardiovascular risk, which have long been implicated in age-related morbidity and functional decline. Yet, the extent to which CMI corresponds with the multidimensional intrinsic capacity domains has remained understudied until now.
Utilizing an expansive dataset from CHARLS, which tracks a nationally representative sample of Chinese adults aged 45 and older over time, the researchers conducted a rigorous analysis involving thousands of participants. This longitudinal framework provided an unprecedented opportunity to examine baseline cardiometabolic health factors and their dynamic associations with changes in intrinsic capacity across multiple years. Advanced statistical models adjusted for socioeconomic variables, lifestyle factors, comorbidities, and medication usage to isolate the independent effects of CMI.
The findings unveiled a robust inverse association between higher cardiometabolic index values and intrinsic capacity scores. Specifically, elevated CMI was linked to greater declines in locomotion, cognitive function, sensory abilities such as vision and hearing, and psychological well-being domains. This multidimensional impact underscores the pervasive influence of cardiometabolic health on overall physiological resilience and functional aging.
Importantly, the study demonstrated that these relationships persisted even after controlling for age, sex, physical activity levels, smoking status, and educational attainment. This suggests that cardiometabolic mechanisms independently contribute to the deterioration of intrinsic capacity beyond the typical aging process and lifestyle effects. The data imply that subclinical metabolic dysfunction silently erodes physiological reserve, accelerating frailty and disability onset.
Furthermore, disaggregated domain analyses revealed nuanced insights. For instance, cognitive decline exhibited particularly strong correlations with abnormal lipid and glucose regulation metrics, aligning with growing evidence implicating vascular and metabolic risk factors in neurodegeneration and dementia progression. Similarly, locomotor impairments appear linked to systemic inflammation and endothelial dysfunction promoted by metabolic dysregulation.
The practical implications of these results are profound. Cardiometabolic index assessment could serve as a cost-effective, integrative biomarker for early identification of older adults at heightened risk of functional decline, enabling timely interventions. Targeted strategies that optimize cardiometabolic profiles—such as dietary modulation, physical exercise, pharmacotherapy, and chronic disease management—may help preserve intrinsic capacity, prolong autonomy, and reduce healthcare burdens.
Moreover, the study advocates for a paradigm shift in geriatric evaluation frameworks. Rather than focusing solely on diagnosed diseases or disabilities, incorporating composite indices like CMI offers a proactive method to gauge physiological resilience holistically. This could facilitate personalized medicine approaches tailored to individual risk landscapes, enhancing prevention and rehabilitation outcomes.
From a public health standpoint, these findings spotlight the critical need to address cardiometabolic health across the lifespan to foster healthier aging trajectories. Policies promoting early screening, lifestyle education, and equitable access to metabolic disorder treatments will be essential to mitigate the growing socioeconomic impacts of aging populations globally.
Scientifically, this research opens new avenues for exploring the biological underpinnings linking cardiometabolic dysfunction and intrinsic capacity decline. Potential molecular pathways involve oxidative stress, chronic inflammation, mitochondrial impairment, and vascular remodeling. Subsequent investigations involving biomarkers, imaging, and intervention trials could unravel causal mechanisms and optimize therapeutic targets.
In sum, this seminal study elegantly integrates epidemiological data with gerontological constructs, highlighting the cardiometabolic index as a pivotal nexus impacting intrinsic capacity domains in older adults. By portraying metabolic health as a foundational determinant of multidimensional functional aging, it invites a recalibration of clinical priorities and enriches the conceptual fabric of healthy aging sciences.
As populations age globally, fostering intrinsic capacity preservation through cardiometabolic management offers a promising frontier to enhance longevity and life quality. This research embodies a critical step in unraveling the complex biology of aging and encourages cross-disciplinary endeavors that unify metabolic health and functional gerontology.
The collective insights underscore that aging is not an inexorable march towards decline but a modifiable process intricately linked to physiological homeostasis. Leveraging cardiometabolic indices as tools for early detection and targeted intervention can usher in a new epoch of preventive geriatrics, prolonging vitality and independence for millions worldwide.
The integration of cardiovascular and metabolic markers into geriatric assessments represents a monumental advancement with deep ramifications for clinical practice, research innovation, and public health strategy. Future studies can build upon this foundation to craft comprehensive models forecasting aging trajectories and responsively mitigating decline.
As this field evolves, multidisciplinary collaborations bridging endocrinology, neurology, cardiology, and gerontology will be indispensable. This fosters a holistic understanding indispensable for effectively addressing the challenges and opportunities inherent in extending healthspan alongside lifespan in an aging society.
Subject of Research: The relationship between cardiometabolic index and intrinsic capacity, including its various domains, in older adults.
Article Title: Association between the cardiometabolic index and intrinsic capacity and its domains in older adults: a study based on CHARLS data.
Article References:
Chen, Z., Wu, H., Zhou, J. et al. Association between the cardiometabolic index and intrinsic capacity and its domains in older adults: a study based on CHARLS data. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-07659-5
Image Credits: AI Generated
A hidden biological clock has been discovered by genetic researchers, revealing how proteins act as a timing mechanism that controls living organisms’ growth into adulthood.
Cold Spring Harbor Laboratory (CSHL) researchers in New York revealed their findings in a recent paper published in the Proceedings of the National Academy of Sciences, identifying how a feedback circuit between the proteins MYRF-1 and LIN-42 functions as the worm genome’s master developmental clock.
Their research focused on the worm species Caenorhabditis elegans, revealing how these proteins set the timing of pulses that guide the worm through its development.
“Development requires that cells change identity in the correct order while the organism continues to grow. How multicellular animals generate and synchronize this timing information across tissues has remained unclear,” the authors write.
The search for this missing biological clock was the core of the CSHL team’s research. Genetic and developmental problems are often expressed as a failure of developmental processes to initiate, which could be tied to problems with internal timing sequences that organize such behaviors. This marks the first time researchers have discovered a non-repeating biological clock.
“This is the central clock for all cells in the worm,” explained co-author Christopher Hammell. “It’s responsible for coordinating a finite series of sequential pulses of gene expression that must occur only once, and in order, for proper developmental progression. It’s like a ratchet. It turns genes on and off multiple times during development, but ultimately, it’s only going in one direction.”
CSHL researchers paired the modern AI tool AlphaFold with more traditional genetic research techniques, such as protein sequencing, molecular experiments, and DNA sequencing, to identify MYRF-1’s role in the worm’s development.
The team found that protein signals both initiate and terminate developmental stages, keeping growth on track. MYRF-1 pulses fire first, then activate LIN-42, which determines the strength and duration of the timing pulses. This biological clock activates stage-specific regulatory RNAs and synchronizes developmental checkpoints, creating a rhythmic gene-regulation metronome that enforces the irreversible nature of growth and molting.
In tests to confirm how this biological clock operates, researchers discovered that blocking MYRF-1 expression disrupts the worms’ development cycle.
“We’ve never seen anything like this before,” Hammell says. “MYRF-1 is part of this master regulatory clock for all cells, but it’s also acting as a key maker and the master key for each stage of growth. Without the right key for each stage, development hits a wall and can’t progress.”
The researchers say that understanding how these proteins interact to create cellular clocks that guide development will help researchers better understand cell growth, progression, and differentiation.
“The MYRF-1/LIN-42 circuit runs in all cells,” Hammell says. “And every one of these independent cellular clocks appears to be in sync when you watch normal development. But are they communicating with each other? We’ve never thought deeply about that question before.”
A better understanding of these clocks could offer potential routes to cures for genetic and developmental issues by allowing medical science to jump-start processes that fail to initiate naturally.
Fundamentally, by restoring synchronization of these growth, development, and differentiation processes, scientists and medical practitioners could see better future success in alleviating certain genetic conditions.
The team’s recent paper, “A Molecular Timer Couples Organism-Wide Temporal Identity to Developmental Checkpoints,” appeared in Proceedings of the National Academy of Sciences on May 6, 2026.
Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.
A new study reveals that aging changes the body’s walking strategy, prioritizing balance and safety over efficiency. Walking may seem automatic, but every step requires a complex balance between stability, muscle coordination, and forward propulsion. As people age, that balance begins to shift. New research from Australia suggests the body gradually adopts a more cautious [...]Growing evidence suggests that sleep may play a major role in protecting the brain as we get older. Scientists have known for years that poor sleep is linked to memory problems, difficulty concentrating, and a higher risk of dementia. Now, a new study from the University of Arizona suggests that several common sleep habits may […]
The post Three Common Sleep Habits Linked to Faster Brain Aging appeared first on Knowridge Science Report.
Tiny particles from the gut may be carrying aging signals throughout the body, offering a surprising new clue to chronic disease. Researchers at the Marshall University Joan C. Edwards School of Medicine have uncovered new evidence that microscopic particles produced in the gut may contribute to the inflammation and chronic diseases often associated with aging. [...]
The mystery of the Greenland shark’s incredible longevity may finally be unraveling, as a team of international researchers has completed the first comprehensive genome map of the creature.
Native to the cold waters between Greenland, Iceland, and Canada, Greenland sharks boast one of the longest vertebrate lifespans on Earth, approaching 400 years. In a recent paper published in the Proceedings of the National Academy of Sciences, researchers led by Shigeharu Kinoshita of the University of Tokyo have identified some of the genetic basis of that extraordinary lifespan, which they say future researchers may exploit to treat cancer and age-related illnesses.
As genetic sequencing technology has improved and costs have fallen, there has been a major increase in the number of sequences from long-lived species for comparative analysis. Discoveries have included identifying increases in genes related to the immune system and growth hormone receptors in rockfish and bat species noted for their longevity.
With an entire lifecycle in slow motion, Greenland sharks’ longevity can be traced to their prolonged development: they take 150 years to reach sexual maturity, growing only 1 centimeter per year. Despite being one of the slowest swimmers in the ocean, the species undertakes large-scale migrations spanning over 1,000 kilometers.
Large genome sizes, like those of the Greenland shark, pose enormous mapping challenges, full of many repetitive sequences. Despite their importance for management and conservation, few whale and shark species have been sequenced due to the difficulty involved. To fill data gaps in the genetic causes of longevity, aquatic species evolution, and the risks of biodiversity loss, the team chose the Greenland shark as their subject.
The University of Tokyo-led team mapped roughly 5.9 billion DNA base pairs, accounting for 96.7% of the shark’s genome. Among the discoveries were the identification of specific genetic features likely related to the Greenland shark’s longevity.
In their paper, they wrote of discovering “genetic traits associated with cancer, immune response function, genome stability, and cardiac function, deep-sea adaptations, and population size dynamics,” in the new research.
One of the most crucial of these traits is how the shark appears to mitigate the genetic strain that contributes to aging by stabilizing the building blocks of chromosomes. Chromatin is a structure consisting of DNA, RNA, and proteins, which makes up chromosomes.
In the Greenland shark, the histone H1.0 protein, which binds DNA in chromatin, undergoes an amino acid substitution that may enhance stability and reduce the effects of aging.
Another genetic tool aiding the shark’s longevity is the presence of 59 copies of the FTH1b gene, which researchers discovered on pseudochromosome 33, far above the number seen in other shark or fish species. This helps regulate ferroptosis, a form of programmed cell death, thereby mitigating cell damage. Since the gene controls iron storage and ferroptosis is iron-dependent, the researchers say this multiplication of FTH1b could prevent oxidative cell damage.
Beyond those specific expressions, researchers also found expansion of entire gene families associated with DNA repair, immune functions, and cancer resistance.
Although limited to a single species, the research does advance general understanding of the genetic factors involved in extended lifespans. However, it will be up to future researchers to identify how this new information can be applied to human concerns.
The paper, “The Greenland Shark Genome: Insights into Lifespan Extremes and Population Dynamics,” appeared in Earth and Planetary Science Letters on May 19, 2026.
Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.
Have you ever eaten a meal so quickly that you started to glow? Although this behavior likely isn’t relatable for most humans, astronomers are beginning to find more and more baby planets doing just that.
Planets are, famously, quite large. But astronomers know that they don’t start out that way, and that instead, stars and planetary systems start as wispy collections of dust and gas. This raw material eventually compresses itself into stars and planets and life capable of contemplating such things, but how exactly that happens is not perfectly understood.
A schematic of some of the processes involved during giant planet formation. Click to enlarge. [Batygin 2018]
A number of different mechanisms predict that during this process, the protoplanet should emit light at a certain frequency associated with electrons jumping between energy levels in hydrogen atoms — what astronomers call Hα emission. In other words, they should glow at that specific wavelength only when they are accreting, though how strongly and consistently will depend on exactly what is happening around the planet.
These ideas existed only on paper until 2019, when a team first observed two glowing, growing planets around the star PDS 70. Recently, however, a powerful new instrument has begun collecting data, and astronomers just announced it has found another similar protoplanet: WISPIT-2b.
A team of researchers led by Laird Close (University of Arizona) announced the discovery of this new world after analyzing images taken with the powerful new MagAO-X instrument on one of the 6.5-meter Magellan telescopes in Chile. The team outfitted the camera with a narrow filter that only admitted the Hα emission associated with accretion, then collected thousands of images over about two hours in April 2025. After stacking and post-processing their data, a faint dot jumped out beside the central star, right in the gap between two bright rings in the star’s disk.
A follow-up image of WISPIT-2b taken with a broader filter. [Laird et al. 2025]
This remarkable find is only the third protoplanet unambiguously found to be embedded within a disk, and the first to be found in the gap between rings in a disk. With MagAO-X collecting data and the WISPIT survey underway, we’re likely in store for many other discoveries in the coming years. With enough observations and examples of these growing worlds, astronomers will fill in their models of how exactly giant planets as we know them are formed.
“Wide Separation Planets in Time (WISPIT): Discovery of a Gap Hα Protoplanet WISPIT 2b with MagAO-X,” Laird M. Close et al 2025 ApJL 990 L9. doi:10.3847/2041-8213/adf7a5
The post Researchers Spot a Rare Glowing, Growing Planet appeared first on AAS Nova.
Editor’s Note: Astrobites is a graduate-student-run organization that digests astrophysical literature for undergraduate students. As part of the partnership between the AAS and astrobites, we occasionally repost astrobites content here at AAS Nova. We hope you enjoy this post from astrobites; the original can be viewed at astrobites.org.
Title: Clouds Can Enhance Direct-Imaging Detection of O2 and O3 on Terrestrial Exoplanets
Authors: Huanzhou Yang, Michelle Hu, and Dorian S. Abbot
First Author’s Institution: University of Chicago
Status: Published in ApJ
In the hunt for life beyond Earth, studying exoplanet atmospheres is one of our most powerful tools. The atmosphere of an exoplanet acts as a window into its environment and allows astronomers to take a guess at what processes are shaping the planet’s climate, chemistry, and thus, its potential for habitability. The gases present in the planet’s atmosphere impart a unique spectral fingerprint on the light that passes through the atmosphere and allows us to identify what gases might be present and look for possible signs of life.
JWST is already hard at work looking at distant worlds and gathering spectroscopic data for us to analyse. It has already observed several exoplanets and recorded the light that passed through their atmospheres. This has not only sparked a debate over what could be interpreted as the first possible signs of biological activity, but has also given us a glimpse of worlds that are remarkably different from our own.
However, JWST is mostly limited to observing the atmospheres of transiting exoplanets. That means planets that orbit close to their host star and are more or less directly edge-on, as viewed from us, so that they transit across the face of the star. The only planets that the telescope is able to observe directly are big, young, and hot planets farther from their host star, at distances more resembling those of the outer planets in our solar system, like Saturn or Uranus. If only we had a telescope powerful enough to image a potentially habitable planet directly and analyse the light reflected from it.
This is where the Habitable Worlds Observatory (HWO) will come in. Now, I know what you are thinking. Why must astronomers always look towards greener pastures bigger telescopes when we already have perfectly functional space telescopes in orbit or practically on the launch pad? Well, it is true that the next flagship space telescope from NASA, the Nancy Grace Roman Space Telescope, is designed to directly image exoplanets and analyse their atmospheres. But space telescopes can take decades to plan and are often built on lessons learned from previous missions. Roman, with its 2.4-meter primary mirror and coronagraph, will be able to observe planets similar in size and orbital distance to Jupiter and will get us some of the way, for sure, but not all the way. At three times the mirror size, HWO, NASA’s proposed successor to Roman that is planned for the 2040s, will carry the torch even further and be able to directly image Earth-like planets in the habitable zone, where liquid water can exist on the planet’s surface.
This brings us to today’s article. If the HWO is going to potentially observe Earth analogues, we might expect it to run into the same issue that plagues everyone living in the UK for most of the year — clouds. Clouds in the atmosphere of an exoplanet can sometimes cause trouble when trying to analyse the light. Cloud particles scatter different wavelengths of light differently, and cloud variability creates dynamic changes in the observed brightness that can make it hard to know what exactly you are looking at. Clouds can also mean varying levels of opacity to look through depending on cloud composition, and they can hide underlying atmospheric properties such as water content beneath a thick cloud layer. For transmission spectroscopy, even a thin layer of clouds can disrupt the measurements as the light has to travel a long distance through the atmosphere. However, for direct imaging, the effect of clouds is perhaps more nuanced. While a thick cloud deck will block the signal from whatever gas lies beneath it, it will also increase the overall albedo of the planet and make it easier to detect the gas above. This means that cloud height and type are both critical variables in understanding atmospheric properties of exoplanets, which is what the authors of today’s article set out to investigate.
To understand how clouds affect the ability to detect signs of life on distant Earth-like planets, the authors used computer simulations. They focused on two gases, molecular oxygen (O2) and ozone (O3). Both gases are often regarded as biosignatures, although their astrobiological significance has been debated. The authors first used a tool that simulates how a telescope like the HWO might observe an Earth-like planet around a star 15 parsecs away. This tool predicts how light bounces off a planet’s surface and atmosphere, and whether the two gases would show up clearly in the reflected light. Next, they created realistic cloud conditions using a cloud microphysics model. This model calculates how clouds might form and behave depending on factors like surface pressure or how much sunlight the planet gets. With this they were able to change things like cloud height and particle size. They then combined the two tools by adding the simulated clouds into the observations model and building a mathematical model to help explain what they saw in the simulations. The sketch for their model can be seen in Figure 1.
Figure 1: Clouds can affect the amount of reflected light (albedo) from the imaged planet. Depending on the cloud height and particle size, this can have a big impact on the observability of different species of gas in the atmosphere. Here the blue arrows indicate the amount of light entering the atmosphere and being reflected. The arrows get thinner from tail to head, representing absorption in the atmosphere. Depending on the presence of clouds, a varying amount is reflected back. The red colour indicates the assumed distribution of ozone, O3, which is concentrated at a high altitude. [Yang et al. 2025]
The researchers discovered that low clouds can actually make gases like oxygen and ozone easier to detect, because these clouds reflect more light without blocking the gases above them. On the other hand, high clouds can make it harder since they can hide the gases from view. They tested different cloud types using real data from Earth as seen in Figure 2. They looked at five common cloud types, like stratus (flat and low), cirrus (high and wispy), and deep convective clouds (tall, thunderstorm-like), and compared them to their model clouds (labelled as CARMA in the figure).
Figure 2: The figure shows how different types of clouds affect our ability to detect oxygen (blue) and ozone (red) on an Earth-like planet. The dashed lines show the results without clouds, while the bars show what happens when clouds are present. Solid bars represent larger cloud droplets, and striped bars represent smaller ones, which reflect more light. The figure shows that most cloud types — especially low clouds like stratus and thick storm clouds — actually make it easier to detect these gases, particularly when droplets are small. Only high, thin clouds (cirrus) slightly reduce oxygen detection, and even then, the effect is small. This is the article’s main finding: while clouds can block light in some observation methods, for direct imaging of reflected light, they often help us see signs of life better. The cloud types are based on real Earth data while the authors’ simulated cloud model is labelled as CARMA. [Yang et al. 2025]
Original astrobite edited by Maria Vincent.
About the author, Kasper Zoellner:
I have a Master of Science in astronomy and I am currently working towards a PhD in physics and educational science. My greatest passion is the search for exoplanets and how stellar variability may influence the possibility of life. I am also interested in science outreach, education, and discussing what sci-fi novel to read next!
The post Weather Forecast for the Habitable Worlds Observatory: Cloudy with a Chance of Biosignatures appeared first on AAS Nova.
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