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Nocturnal Hypertension and Prognosis in Patients of Very Advanced Age

RESEARCH ARTICLE: nocturnal hypertension and prognosis in patients of very advanced age.


BACKGROUND: Nocturnal blood pressure (BP) is a better predictor of health outcomes than office or daytime BP. However, the clinical significance of nocturnal hypertension in patients of very advanced age remains unexplored. We aimed to assess the association between nocturnal hypertension and composite cardiovascular outcomes in this population. METHODS: This was a prospective observational study including Japanese elderly outpatients aged ≥80 years. All patients underwent 24-hour ambulatory BP monitoring at baseline. Nocturnal hypertension was defined as nocturnal systolic BP ≥120 mm Hg or diastolic BP≥70 mm Hg. Daytime hypertension was defined as daytime systolic BP ≥135 mm Hg and diastolic BP ≥85 mm Hg.

New DNA tools outperform traditional methods for detecting genetic risk in wildlife

Wildlife populations that become small and isolated, often due to habitat loss, inevitably experience inbreeding which can lead to the loss of fitness and eventual extinction. One solution is to perform a genetic rescue: a management intervention where new blood is brought in by introducing outsiders to a population to reduce inbreeding and restore diversity. But how do researchers know the inbreeding problem has been solved?

A new long-term study from Western, led by biology professor and chair David Coltman, shows DNA-based tools detected changes in inbreeding more accurately than traditional pedigree methods in a wild population of bighorn sheep that was recently genetically rescued. The study was published in the journal Evolutionary Applications.

Pedigree approaches estimate genetic health from family history, whereas genomic approaches directly analyze DNA.

Real-time protein quality control keeps cells healthy

Scientists from the National University of Singapore (NUS) have developed a biochemical technique that captures fleeting “handshakes” between newly made proteins and the cellular helpers. These short interactions are important because they can determine whether a protein turns out healthy and useful or is faulty and in need of removal. The research has been published in the journal Molecular Cell.

Cells produce vast numbers of proteins to sustain life. But building a protein is not only about assembling a chain of amino acids in the right order. As the protein chain is being produced, it must begin folding into the correct three-dimensional shape and avoid attaching to the wrong partners.

When folding goes wrong, misfolded proteins can become sticky, clump together, and disrupt cellular health. Cells reduce this risk by running “quality checks” even while proteins are still being made. However, identifying the key players in this early surveillance has been challenging because their interactions with newly forming protein chains are brief and easily missed.

Oligodendrocyte molecular perturbations associated with tau in Alzheimer’s

The findings suggest that in AD, part of what happens in the brain may involve changes in DNA tagging that affect the function of oligodendrocytes, particularly in relation to the buildup of the toxic protein tau.

Oligodendrocytes are the brain cells that make myelin, the insulation that helps nerve cells communicate. Scientists have theorized that disrupting neuron communication contributes to symptoms for people with AD. Researchers in this study found that nearly all significant methylation changes — small chemical tags added to DNA that help control when genes are turned on or off — were linked to the tau protein. This supports the idea that this protein plays a key role in brain cell changes tied to AD.

“Our team has previously shown that oligodendrocytes are affected in Alzheimer’s and another tau-related disease, progressive supranuclear palsy (PSP),” says the author. “These new results further highlight that problems in oligodendrocytes and myelin are central to AD. They also point to specific molecular pathways, particularly epigenetic changes, that could be targeted in future therapies.”

The study results identified new genes that may play a role in AD, including one called LDB3, and confirmed many findings across multiple independent datasets, showing its reliability. The identification of specific genes provides potential targets for future research — for example, scientists might investigate whether interventions that reverse methylation or support oligodendrocyte health can slow or modify disease progression for patients with AD. ScienceMission sciencenewshighlights.


In a study published in Nature Communications, the researchers have identified specific DNA-level changes in the brains of people with Alzheimer’s disease (AD). Using advanced biological analysis, the team mapped alterations in the brain’s regulatory landscape that may help explain why Alzheimer’s presents and progresses differently from person to person. The findings could also open new avenues for understanding other neurodegenerative diseases.

Alzheimer’s disease is the most common cause of dementia. Biologically, the disease begins with the formation of protein deposits, known as amyloid plaques, and neurofibrillary tangles in the brain. This causes brain cells to die over time and the brain to shrink. About 6.9 million people in the U.S. age 65 and older live with Alzheimer’s disease. There is no cure, and in advanced stages, complications can result in a significant decline in quality of life and death.

Exercise, nutrition, physical agent therapy in older adults with sarcopenic obesity: a systematic review and network meta-analysis

Sarcopenic obesity (SO) is characterized by the co-existence of excess adiposity and low muscle performance, with a high prevalence and poor prognosis in the geriatric population.

This systematic review and network meta-analysis (NMA) aims to assess the most effective non-pharmacological interventions for SO patients, including nutrition, exercise, and physical agent therapy.

A systematic search of six electronic databases was conducted from their inception until July 5, 2025, for randomized controlled trials. The NMA utilized a random-effects model, pooled mean difference (MD) and standardized mean difference (SMD), with 95% credible intervals (CrI), accounting for correlations within multi-arm trials. Subgroup analyses and sensitivity analyses were also performed.

Developmental reprogramming in melanocortin neurons modulates diet-induced obesity in mice

Reprogramming in melanocortin modulates diet-induced obesity.

Hypothalamic proopiomelanocortin (POMC) neurons promote satiety, while agouti-related peptide (AgRP) neurons drive hunger and maintain energy balance.

However, it is not clear how the system is diversified developmentally.

The researchers in this study show that transcription factor Otp act as a developmental ‘‘switch’’ in the hypothalamus and determines whether immature neurons become appetite suppressing (POMC) or appetite stimulating (AgRP).

Disrupting this switch reshapes feeding behavior and protects mice from obesity, revealing how early life programming shapes lifelong metabolic health. sciencenewshighlights ScienceMission https://sciencemission.com/melanocortin-neurons-modulates-diet-induced-obesity


Xu et al. show that a developmental “switch” in the hypothalamus determines whether immature neurons become appetite suppressing or appetite stimulating. Disrupting this switch reshapes feeding behavior and protects mice from obesity, revealing how early-life programming shapes lifelong metabolic health.

Patient Safety Begins With Access: Safety Events That Occur Before Meeting the Patient

💬 Viewpoint by Victor Hassid, MD, MBA, and Haytham Kaafarani, MD, MPH: Administrative delays and access failures introduce patient safety risks but are rarely treated as safety events in health systems.


More than 2 decades after To Err Is Human,1 health care has made substantial progress in defining, measuring, and mitigating clinical harm—by adopting high-reliability principles, implementing safety reporting systems, standardizing protocols, and embedding accountability instead of blame into clinical workflows. Yet access to care—despite being the gateway to all downstream clinical activity—remains largely outside this safety framework.

Delays in access are often discussed as throughput problems, capacity constraints, or scheduling inefficiencies. Rarely are they framed as patient safety issues. This distinction is consequential. When access failures are viewed as operational challenges, they are addressed as desk tasks—episodically and locally. When they are viewed as safety failures, they require immediate systematic analysis, leadership attention, and organizational accountability.

High-reliability organization principles provide a useful lens for reframing patient access to care as safety, even when accountability spans multiple stakeholders rather than a single organization.2 The preoccupation of high-reliability organization with failure requires attention to near misses, not just catastrophic outcomes. Reluctance to simplify acknowledges that access pathways are complex sociotechnical systems, not simplistic linear workflows. Sensitivity to operations requires understanding how delays in record retrieval, insurance authorization, or appointment scheduling propagate through the system and translate into patient harm. Deference to expertise elevates the voices of frontline access staff who understand when and where systems break down. Commitment to resilience requires learning from access failures and rapidly redesigning processes to prevent recurrence.

Brain-inspired device could lead to faster, more energy-efficient AI hardware

A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of artificial intelligence. By combining memory and computation on the same chip—and allowing its components to interact collectively like neurons in the brain—the brain-inspired platform improved the speed, accuracy, and energy efficiency of pattern recognition in two simulated tasks: recognizing spoken digits and detecting epileptic seizures early from brain-wave recordings.

The approach could lead to the development of compact, energy-efficient hardware for smaller AI systems such as those used in wearable health monitors, smart sensors, and other autonomous devices.

The work, published on March 9 in Nature Nanotechnology, falls within the field of neuromorphic computing, which aims to build machines that mimic how the brain processes information. The researchers emphasize that the technology is brain-inspired, rather than brain-like; it draws ideas from how neural networks interact but does not attempt to replicate the brain itself.

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