Aggregator
Mapping structural aging across human tissues reveals tissue-specific trajectories and coordinated deterioration
Organ structure, including the organization of cells, vasculature and extracellular matrix, underpins its function, yet how structure changes with age remains mostly unknown. Here we developed PathStAR, a framework that quantifies tissue structural aging from routine histopathology images, without being trained to predict chronological age. Applying PathStAR to 25,306 post-mortem biopsies from 40 tissues in 970 donors aged 21-70 years revealed that organ structural aging progresses via distinct,...
Sodium-glucose cotransporter 2 inhibitors are associated with reduced circulating activin A and modulation of BMP/activin signaling in ischemic cardiomyopathy with high echocardiographic probability of pulmonary hypertension
Pulmonary hypertension (PH) frequently complicates heart failure with reduced ejection fraction (HFrEF), worsening prognosis despite limited therapeutic options. Whether sodium-glucose cotransporter 2 inhibitors (SGLT2i) improve PH beyond their established hemodynamic effects remains unclear. Seventy-four patients with ischemic HFrEF after acute myocardial infarction and a high echocardiographic probability of PH were prospectively enrolled in a single-center, non-randomized study. Patients...
VAVL motor thalamus activity pattern changes following levodopa-induced dyskinesia in a rat model of Parkinson's disease
Levodopa is the gold-standard treatment for Parkinson's disease, but chronic use results in levodopa-induced dyskinesia (LID) in approximately 80% of patients. Previous research has identified critical network changes in the cortico-basal ganglia pathway associated with LID; however, no study has extensively recorded motor thalamus single-cell activity in a LID model. The motor thalamus is a key node in the movement pathway, receiving basal ganglia and cerebellar inputs and projecting an...
Not So Fast
No abstract
Inflammaging and cytokine-driven cardiovascular senescence in age-related myocardial infarction: mechanisms, biomarkers, and precision immunotherapy strategies
Ageing is an independent, non-modifiable risk factor for myocardial infarction (MI). It is also characterized by chronic, low-grade inflammation (inflammaging) and progressive cardiovascular senescence. These ageing-associated processes alter cytokine networks and innate and adaptive immune-cell function, promote endothelial dysfunction, and compromise post-infarction repair, thereby increasing myocardial susceptibility to ischaemia and adverse cardiac remodelling in the elderly. Lifestyle...
RNA-binding protein OTUD1 maintains skeletal homeostasis by determining mesenchymal stem cell lineage commitment
Mesenchymal stem cells (MSCs) maintain bone homeostasis through osteogenic differentiation. During aging, MSCs undergo a fate shift toward adipogenesis rather than osteogenesis, but the post-transcriptional mechanisms remain unclear. Here, we identify ovarian tumor domain-containing protein 1 (OTUD1) as an RNA-binding protein that controls MSC fate by stabilizing osteogenic transcripts. OTUD1 directly binds and stabilizes BMP2 mRNA, thereby supporting osteogenic differentiation. In vivo, OTUD1...
A cross-species drug-discovery platform to accelerate the identification of lifespan-extending interventions
We develop an integrated, high-throughput platform to evaluate pharmacological lifespan-extending interventions across five model organisms spanning unicellular to mammalian biology including yeast, nematodes, fruit flies, killifish, and mice. By combining automated imaging, miniaturized assays, and deep-learning-based death detection, we evaluate over 400 compounds across thousands of conditions. In S. cerevisiae, a miniaturized PI/flow cytometry CLS assay enables scalable screening and...
Snake embryos often coil in one direction. Now, we may know why
Mismatch between growth of body and digestive system bends the body, study suggests
Mapping structural aging across human tissues reveals tissue-specific trajectories and coordinated deterioration
Multimorbidity patterns influence mobility disability prevention in frail older adults from the SPRINTT trial
Why are rich people so pessimistic? What the numbers say
The leap second is dead. Long live the leap hour?
Order from disorder: do we need a new law of physics?
What’s your lab’s archetype? The answer could inform how you use AI
Scale of snakebites estimated globally
In autism advisory committee’s funding plan, critics see a veiled antivaccine focus
The new plan, marked by a turbulent rollout and vote, urges more research on poorly understood “regression” to autism
Russia bets on new research facilities to rebuild foreign ties
As Ukraine war drags on, a new synchrotron and two other megaprojects aim to attract scientists from “friendly” nations
Common supplements rival antibiotics for severe gum disease
Omega-3 and low-dose aspirin matched the effectiveness of antibiotics in a year-long study of patients with severe gum disease, with both approaches helping about 58% reach the treatment goal. The unexpected result could point to a new way to treat some patients while reducing reliance on antibiotics and the growing problem of antibiotic resistance.
HEPA air purifiers may boost brain function after just one month
Adults aged 40 and older performed about 12% faster on a test of executive function after using a HEPA air purifier at home for one month. The findings suggest that cleaner indoor air could offer a simple way to help protect the brain from the effects of traffic-related pollution.
A machine learning framework for predicting and modulating condition-dependent protein phase separation
Protein phase separation is a fundamental process in organizing membraneless organelles and is implicated in pathological conditions. Importantly, this process is dynamic and depends on conditions such as concentration, temperature, and solvent composition. However, current machine learning models infer phase separation propensity solely from amino acid sequences, failing to capture these context-dependent behaviors. Here we show that LLPSense, a machine learning framework that integrates...