Cardiovascular disease: Inflammation drives atherosclerosis – and may also help limit it
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Jun-2026 08:16 ET (8-Jun-2026 12:16 GMT/UTC)
A new LMU study shows how differently immune cells influence the formation of dangerous vascular deposits – and identifies miR-147 as a potential starting point for future therapies.
While virtual-reality path integration (VR-PI) may reveal subtle changes that precede the onset of clinical cognitive symptoms, the association between PI performance and structural brain changes remains unclear. Now, researchers have demonstrated that poor PI performance is linked to accelerated cortical thinning in several brain regions and is tied to key blood biomarkers of neurodegeneration. The findings suggest that VR navigation tasks may offer a non-invasive approach for early detection of neurodegenerative diseases.
Traumatic brain injury (TBI) affects millions worldwide, yet effective treatments remain limited. A new review outlines how stem cell-based therapies can promote brain repair by reducing inflammation, supporting neural regeneration, and restoring neural function. It also highlights emerging strategies such as exosome-based therapies and biomaterial scaffolds. While early clinical trials and preclinical findings are encouraging, translating these advances into reliable clinical treatments remains a critical next step.
The risk of being hospitalized or dying from COVID-19 infection was lower among adults with better heart health scores. Adults without cardiovascular disease and with the best levels of heart health, as indexed by the American Heart Association’s Life’s Essential 8 heart health metric, were nearly half as likely to develop severe COVID-19 when compared to adults with the worst levels of heart health. Specifically, the Life’s Essential 8 components of better physical activity, body mass index, blood pressure and sleep were associated with most-reduced risk.
Researchers have proposed a new conceptual framework called “Health Elements” that positions digital technologies and AI as core structural drivers of health alongside biological, behavioral, social, and environmental factors. Published in Health Data Science, the framework argues that health outcomes emerge from dynamic interactions across multiple domains rather than from isolated risk factors alone. The study reflects growing recognition that digital systems—including algorithms, wearable devices, AI-enabled diagnostics, and health data infrastructures—are increasingly shaping health behaviors, access to care, and population-level outcomes.
The authors also discuss how multimodal health data integration, complex systems science, and AI-based analytical methods could support more adaptive public health and clinical decision-making. At the same time, they warn that algorithmic bias, digital inequity, and governance challenges may reinforce existing health disparities if ethical safeguards are not built into future digital health systems. An accompanying editorial describes the framework as a significant extension of traditional Social Determinants of Health models for the digital era.