Abstract
Objective To test whether elevated blood pressure (BP) relates to grey matter volume (GMV) changes in young adults who had not previously been diagnosed as hypertensive (systolic BP (SBP)/diastolic BP (DBP)≥140/90 mmHg).
Methods We associated BP with GMV from structural 3 Tesla T1-weighted MRI of 423 healthy adults between 19-40 years (mean age=27.7±5.3 years, 177 women, SBP/DBP=123.2/73.4±12.2/8.5 mmHg). Data originated from four previously unpublished cross-sectional studies conducted in Leipzig, Germany. We performed voxel-based morphometry on each study separately and combined results in image-based meta-analyses (IBMA) to assess cumulative effects across studies. Resting BP was assigned to one of four categories: (1) SBP<120 and DBP<80 mmHg, (2) SBP 120-129 or DBP 80-84 mmHg, (3) SBP 130-139 or DBP 85-89 mmHg, (4) SBP≥140 or DBP≥90 mmHg.
Results IBMA yielded: (a) lower regional GMV was correlated with higher peripheral BP; (b) lower GMV with higher BP when comparing individuals in sub-hypertensive categories 3 and 2, respectively, to those in category 1; (c) lower BP-related GMV was found in regions including hippocampus, amygdala, thalamus, frontal and parietal structures (e.g. precuneus).
Conclusions BP≥120/80 mmHg was associated with lower GMV in regions that have previously been related to GM decline in older individuals with manifest hypertension. Our study shows that BP-associated GM alterations emerge continuously across the range of BP and earlier in adulthood than previously assumed. This suggests that treating hypertension or maintaining lower BP in early adulthood might be essential for preventing the pathophysiological cascade of asymptomatic cerebrovascular disease to symptomatic end-organ damage, such as stroke or dementia.
Author contributions
Study concept and design: Schaare, Villringer.
Statistical analysis: Schaare.
Acquisition or interpretation of data: All authors.
Drafting of the manuscript: Schaare, Villringer.
Critical revision of the manuscript: All authors.
Acknowledgements
We thank all volunteers for their participation in any of the studies. Furthermore, we thank all researchers, technicians and students who planned, collected, entered and curated data used in this manuscript.
Footnotes
Statistical analysis
Statistical analysis conducted by H. Lina Schaare, Max Planck Institute for Human Cognitive and Brain Sciences
Study funding
Max Planck Institute for Human Cognitive and Brain Sciences
Disclosures
Ms. Schaare reports no disclosures.
Ms. Kharabian Masouleh reports no disclosures.
Ms. Beyer reports no disclosures.
Ms. Kumral reports no disclosures.
Ms. Uhlig reports no disclosures.
Mr. Reinelt reports no disclosures.
Dr. Reiter reports no disclosures.
Dr. Lampe reports no disclosures.
Dr. Babayan reports no disclosures.
Ms. Erbey reports no disclosures.
Ms. Roebbig reports no disclosures.
Dr. Schroeter reports no disclosures.
Dr. Okon-Singer reports no disclosures.
Dr. Müller reports no disclosures.
Dr. Mendes reports no disclosures.
Dr. Margulies reports no disclosures.
Dr. Witte reports no disclosures.
Dr. Gaebler reports no disclosures.
Dr. Villringer reports no disclosures.