We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Plasma Vitamin C Levels Associated with Brain Structure and Connectivity in Aging

By LabMedica International staff writers
Posted on 11 Jun 2026

Previous studies have linked vitamin C–rich diets with lower risk of cognitive impairment in older adults. More...

However, few investigations have directly examined blood plasma vitamin C in relation to brain structure or connectivity within large-scale networks. Clarifying such relationships may inform understanding of cognitive function in aging. A new study now shows that plasma vitamin C levels are associated with gray matter volume and default mode network connectivity in older adults.

Hirosaki University (Hirosaki, Japan) researchers analyzed magnetic resonance imaging (MRI) scans and blood plasma vitamin C levels from a community cohort of older Japanese adults. The analysis focused on gray and white matter volume and structural connectivity within the default mode network (DMN), a set of regions linked to attention and autobiographical memory. Investigators adjusted for age, physical activity, education, and other factors that can affect brain structure or connectivity. The work identifies statistical associations between plasma vitamin C and MRI-derived neuroanatomical features.

The observational analysis included 2,044 participants over the age of 64. For each participant, the team quantified gray and white matter volumes while accounting for individual differences in total brain volume. They also evaluated connectivity within the DMN. After statistical adjustment for potential confounders, lower plasma vitamin C levels were linked to lower gray matter volume and reduced DMN connectivity.

The findings were published in PLOS One on June 10, 2026. The authors note that the associations do not establish causation and that further work is required to elucidate underlying biological mechanisms. Suggested next steps include repeated plasma vitamin C measurements over time, broader accounting for lifestyle and nutritional variables, and inclusion of participants from additional ethnic and socioeconomic backgrounds. The results suggest the possibility that optimal plasma vitamin C could potentially support cognitive function in aging, while underscoring the need for prospective research.

“Our study demonstrates that higher plasma vitamin C levels are associated with better preserved structural connectivity of the default mode network (DMN), a key brain network involved in cognitive function. This finding generates the exciting hypothesis that a diet rich in vitamin C might play a supportive role in maintaining brain health and mitigating age-related cognitive decline in older adults,” said Tomohiro Shintaku, Department of Radiology, Graduate School of Medicine, Hirosaki University.

Related Links
Hirosaki University


Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
Online QC Software
Acusera 24•7
Steam Sterilizer
Hi Vac II Line
Chromogenic Culture System
InTray™ COLOREX™ ECC
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.