# Neurovascular and metabolic sex differences in contributions to cognitive impairment and dementia including Alzheimer's disease

> **NIH NIH RF1** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2020 · $2,581,762

## Abstract

Project summary
 Fifty million people worldwide are living with dementia and a new case of dementia is diagnosed every 3
seconds. Dementia is a major cause of disability among older people and it has a profound health and economic
impact, not only on people with dementia, but also on their caregivers, families and the larger society. Alzheimer’s
disease (AD) is the main dementia afflicting 5.8 million Americans and nearly two-thirds (3.6 million) are women.
Long-held view for the cause of this disparity pointed at the greater female life-span. However recent emerging
evidence shows that the lifetime risk, incidence and severity of cognitive impairment and dementia are much
higher among older women than in older men. This positions aging and female gender as two of the major risk
factors for sporadic AD, particularly after menopause, but the biological basis of the sex-based distinctions in
dementia onset and progression remain elusive. In a significant portion of the human studies the gender is
regressed out and the data is pooled together to increase the effect size. Until recently, the bulk of the animal
studies used only males in effort to keep the cost low by reducing the experimental groups. As a direct
consequence, even though metabolic and vascular dysfunctions are now accepted to be major contributors to
cognitive impairment and dementia, the sex differences for this influence are largely unknown.
 The goal of this project is to deliver an integrative view on sex differences in dynamic neurovascular
coupling and real time neuroenergetics in rodent dementia models, particularly AD. Our central hypothesis is
that vascular and metabolic dysfunctions in cognitive impairment and dementia interact with neuroendocrine
regulators to drive pathology in a sex-specific manner. Our approach combines in vivo multimodal vascular and
metabolic brain imaging with single cell transcriptomics to relate functional aspects of neurovascular resilience
to specific cell types and uncover personalized molecular targets for therapy. We conjecture that both males and
females with dementia experience decline in vascular and metabolic function that contributes to the disease
etiology, however the severity, mechanism and timeline between the sexes is different. Our preliminary data in
AD models shows that both sexes have decline in cerebral blood flow during the disease onset with female mice
having more severe reductions and specific patters. We will measure the concomitant drop in tissue oxygenation
where the with sex differences is still unclear and look for changes of glycolytic rates in the brain. We will correlate
an array of vascular and metabolic measures with well described hallmarks of AD such as vascular and tissue
amyloid plaques. At time points where we can observe the highest functional changes, we will use single-cell
transcriptomics to look which cell types drive the neuroenergetic shifts. We aim to elucidate how the particular
gene clusters sorted by...

## Key facts

- **NIH application ID:** 9945106
- **Project number:** 1RF1NS116450-01
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Bistra Iordanova
- **Activity code:** RF1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $2,581,762
- **Award type:** 1
- **Project period:** 2020-04-15 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9945106

## Citation

> US National Institutes of Health, RePORTER application 9945106, Neurovascular and metabolic sex differences in contributions to cognitive impairment and dementia including Alzheimer's disease (1RF1NS116450-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9945106. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
