Health, Imaging, and Cognition Across the Menopausal Transition
MOSAIC
Santé, Imagerie et Cognition à Travers la Transition ménopausique
1 other identifier
observational
45
1 country
1
Brief Summary
This observational cross-sectional study aims to better understand how the menopausal transition affects brain energy metabolism and cognition. Menopause, a natural stage in a woman's life, is typically divided into three phases: premenopause, perimenopause, and postmenopause. This transition involves hormonal fluctuations and a decline in estrogen levels, which can impact physical, emotional, and cognitive well-being. Common symptoms include hot flashes, sleep disturbances, mood changes, and difficulties with memory and concentration. Emerging evidence suggests that the decline in estrogen may impair how the brain uses glucose, its primary energy source. This reduction in glucose metabolism is thought to contribute to cognitive difficulties reported during midlife. In contrast, the brain's capacity to use ketones-alternative energy substrates produced during fasting or low-carbohydrate intake-appears preserved during aging and hormonal changes. Increasing circulating ketones may offer a promising strategy to support brain energy and cognitive function. To explore these relationships, the study will employ advanced brain imaging (PET scans) to assess glucose and ketone uptake in the brain. Additional measures will include hormone levels, cognitive testing, continuous glucose monitoring, and MRI. PET tracers will also be used to evaluate estrogen receptor distribution, providing insight into how the brain responds to hormonal changes. A total of 45 women aged 35-60 will be enrolled and categorized into three groups (15 per group): premenopause, perimenopause, and postmenopause. Each participant will attend four study visits that include questionnaires, blood tests, cognitive assessments, metabolic measurements, and imaging procedures. The results may help identify early neurobiological and metabolic markers associated with the menopausal transition. These findings could inform new approaches to preserve brain health and prevent cognitive decline in aging women. Improving understanding of how the female brain adapts to hormonal shifts may ultimately support more targeted strategies for promoting healthy aging.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jul 2025
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 24, 2025
CompletedFirst Posted
Study publicly available on registry
June 15, 2025
CompletedStudy Start
First participant enrolled
July 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2026
ExpectedJune 15, 2025
May 1, 2025
8 months
April 24, 2025
June 12, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
cerebral metabolic rates (μmol/100 g/min) measured by PET (11C-AcAc +18F-FDG)
Brain energy metabolism will be quantified using two PET tracers: 11C-acetoacetate (for ketone use) and 18F-fluorodeoxyglucose (for glucose use). This will allow comparison of brain fuel usage between three menopausal groups (PRE, PERI, POST).Total Cerebral metabolic rates (μmol/100 g/min) (CMR tot= CMR acac + CMRglu)
1 day at baseline
Tracer influx rates (k) measured by PET (11C-AcAc +18F-FDG)
Brain energy metabolism will be quantified using two PET tracers: 11C-acetoacetate (for ketone use) and 18F-fluorodeoxyglucose (for glucose use). This will allow comparison of brain fuel usage between three menopausal groups (PRE, PERI, POST). tracer influx rates (K values).
1 day at baseline
Secondary Outcomes (5)
Time-activity curves of the estrogen receptor in the brain (by 18F-4FMFES PET)
1 day at baseline
distribution volume ratio of the estrogen receptor in the brain (by 18F-4FMFES PET)
1 day at baseline
Glucose variability (SD of glucose measured by continuous glucose monitoring)
Over 5 days following sensor placement et stabilisation
Glucose average (mean of glucose measured by continuous glucose monitoring)
Over 5 days following sensor placement et stabilisation
Time in range
Over 5 days following sensor placement et stabilisation
Other Outcomes (22)
Brain volume
1 day at baseline
Rey Auditory Verbal Learning Test (RAVLT)
1 day at baseline
Stroop Color and Word test (Stroop Test) (secondes)
1 day at baseline
- +19 more other outcomes
Study Arms (3)
premenopause
Women between 35 and 55 years old who still have regular menstrual cycles, with no noticeable changes in the past 10 months.
perimenopause
Women between 40 and 60 years old who have experienced changes in their menstrual cycles, such as irregular timing (varying by more than 7 days) for at least 10 cycles, or no period for 3 to 11 months.
postmenopause
Women between 45 and 65 years old who have not had a menstrual period for 12 months or more.
Eligibility Criteria
Healthy individuals from the general population
You may qualify if:
- Able to read and speak French
- Perimenopause: Women aged 40 to 60; Menstrual cycles varying by more than 7 days per cycle for at least 10 cycles, or no period for 3 to 11 months
- postmenopause: Women aged 45 to 65; No menstrual period for ≥ 12 months
You may not qualify if:
- Pregnancy, childbirth within the past 12 months, or breastfeeding
- Use of hormone replacement therapy or hormonal contraceptives in the past 6 months
- contraindications to MRI (e.g., presence of non-compatible metallic objects)
- Claustrophobia
- Type 1 diabetes
- Adherence to a ketogenic intervention (e.g., ketone supplements, intermittent fasting, ketogenic diet) in the past 3 months
- Engaging in intense physical activity 5 times per week or more
- Any significant neurological disorder (e.g., dementia, brain tumor, seizure disorder, history of significant head trauma with persistent neurological deficits, known structural brain abnormalities)
- History of oophorectomy or hysterectomy
- Any significant psychiatric disorder (e.g., major depression within the past 2 years, bipolar disorder, schizophrenia)
- Systemic diseases or unstable/uncontrolled medical conditions (e.g., cardiovascular disease, uncontrolled diabetes, kidney or liver disorders)
- Any other condition that may interfere with participation, as judged by the study physician
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Université de Sherbrookelead
- Nestlé Health Sciencecollaborator
Study Sites (1)
Centre de recherche sur le Vieillissement
Sherbrooke, Quebec, J1H 4C4, Canada
Related Publications (17)
Andy C, Nerattini M, Jett S, Carlton C, Zarate C, Boneu C, Fauci F, Ajila T, Battista M, Pahlajani S, Christos P, Fink ME, Williams S, Brinton RD, Mosconi L. Systematic review and meta-analysis of the effects of menopause hormone therapy on cognition. Front Endocrinol (Lausanne). 2024 Mar 4;15:1350318. doi: 10.3389/fendo.2024.1350318. eCollection 2024.
PMID: 38501109BACKGROUNDCastellano CA, Baillargeon JP, Nugent S, Tremblay S, Fortier M, Imbeault H, Duval J, Cunnane SC. Regional Brain Glucose Hypometabolism in Young Women with Polycystic Ovary Syndrome: Possible Link to Mild Insulin Resistance. PLoS One. 2015 Dec 9;10(12):e0144116. doi: 10.1371/journal.pone.0144116. eCollection 2015.
PMID: 26650926BACKGROUNDMosconi L, Nerattini M, Matthews DC, Jett S, Andy C, Williams S, Yepez CB, Zarate C, Carlton C, Fauci F, Ajila T, Pahlajani S, Andrews R, Pupi A, Ballon D, Kelly J, Osborne JR, Nehmeh S, Fink M, Berti V, Dyke JP, Brinton RD. In vivo brain estrogen receptor density by neuroendocrine aging and relationships with cognition and symptomatology. Sci Rep. 2024 Jun 20;14(1):12680. doi: 10.1038/s41598-024-62820-7.
PMID: 38902275BACKGROUNDPaquette M, Phoenix S, Lavallee E, Rousseau JA, Guerin B, Turcotte EE, Lecomte R. Cross-Species Physiological Assessment of Brain Estrogen Receptor Expression Using 18F-FES and 18F-4FMFES PET Imaging. Mol Imaging Biol. 2020 Oct;22(5):1403-1413. doi: 10.1007/s11307-020-01520-w. Epub 2020 Jul 22.
PMID: 32699974BACKGROUNDArjmand S, Bender D, Jakobsen S, Wegener G, Landau AM. Peering into the Brain's Estrogen Receptors: PET Tracers for Visualization of Nuclear and Extranuclear Estrogen Receptors in Brain Disorders. Biomolecules. 2023 Sep 18;13(9):1405. doi: 10.3390/biom13091405.
PMID: 37759805BACKGROUNDFortier M, Castellano CA, St-Pierre V, Myette-Cote E, Langlois F, Roy M, Morin MC, Bocti C, Fulop T, Godin JP, Delannoy C, Cuenoud B, Cunnane SC. A ketogenic drink improves cognition in mild cognitive impairment: Results of a 6-month RCT. Alzheimers Dement. 2021 Mar;17(3):543-552. doi: 10.1002/alz.12206. Epub 2020 Oct 26.
PMID: 33103819BACKGROUNDFortier M, Castellano CA, Croteau E, Langlois F, Bocti C, St-Pierre V, Vandenberghe C, Bernier M, Roy M, Descoteaux M, Whittingstall K, Lepage M, Turcotte EE, Fulop T, Cunnane SC. A ketogenic drink improves brain energy and some measures of cognition in mild cognitive impairment. Alzheimers Dement. 2019 May;15(5):625-634. doi: 10.1016/j.jalz.2018.12.017. Epub 2019 Apr 23.
PMID: 31027873BACKGROUNDCroteau E, Castellano CA, Richard MA, Fortier M, Nugent S, Lepage M, Duchesne S, Whittingstall K, Turcotte EE, Bocti C, Fulop T, Cunnane SC. Ketogenic Medium Chain Triglycerides Increase Brain Energy Metabolism in Alzheimer's Disease. J Alzheimers Dis. 2018;64(2):551-561. doi: 10.3233/JAD-180202.
PMID: 29914035BACKGROUNDCunnane SC, Trushina E, Morland C, Prigione A, Casadesus G, Andrews ZB, Beal MF, Bergersen LH, Brinton RD, de la Monte S, Eckert A, Harvey J, Jeggo R, Jhamandas JH, Kann O, la Cour CM, Martin WF, Mithieux G, Moreira PI, Murphy MP, Nave KA, Nuriel T, Oliet SHR, Saudou F, Mattson MP, Swerdlow RH, Millan MJ. Brain energy rescue: an emerging therapeutic concept for neurodegenerative disorders of ageing. Nat Rev Drug Discov. 2020 Sep;19(9):609-633. doi: 10.1038/s41573-020-0072-x. Epub 2020 Jul 24.
PMID: 32709961BACKGROUNDMosconi L, Brinton RD. How would we combat menopause as an Alzheimer's risk factor? Expert Rev Neurother. 2018 Sep;18(9):689-691. doi: 10.1080/14737175.2018.1510320. Epub 2018 Aug 13. No abstract available.
PMID: 30091648BACKGROUNDMosconi L, Berti V, Quinn C, McHugh P, Petrongolo G, Osorio RS, Connaughty C, Pupi A, Vallabhajosula S, Isaacson RS, de Leon MJ, Swerdlow RH, Brinton RD. Perimenopause and emergence of an Alzheimer's bioenergetic phenotype in brain and periphery. PLoS One. 2017 Oct 10;12(10):e0185926. doi: 10.1371/journal.pone.0185926. eCollection 2017.
PMID: 29016679BACKGROUNDMosconi L, Berti V, Quinn C, McHugh P, Petrongolo G, Varsavsky I, Osorio RS, Pupi A, Vallabhajosula S, Isaacson RS, de Leon MJ, Brinton RD. Sex differences in Alzheimer risk: Brain imaging of endocrine vs chronologic aging. Neurology. 2017 Sep 26;89(13):1382-1390. doi: 10.1212/WNL.0000000000004425. Epub 2017 Aug 30.
PMID: 28855400BACKGROUNDSnyder HM, Asthana S, Bain L, Brinton R, Craft S, Dubal DB, Espeland MA, Gatz M, Mielke MM, Raber J, Rapp PR, Yaffe K, Carrillo MC. Sex biology contributions to vulnerability to Alzheimer's disease: A think tank convened by the Women's Alzheimer's Research Initiative. Alzheimers Dement. 2016 Nov;12(11):1186-1196. doi: 10.1016/j.jalz.2016.08.004. Epub 2016 Sep 27.
PMID: 27692800BACKGROUNDGold EB, Sternfeld B, Kelsey JL, Brown C, Mouton C, Reame N, Salamone L, Stellato R. Relation of demographic and lifestyle factors to symptoms in a multi-racial/ethnic population of women 40-55 years of age. Am J Epidemiol. 2000 Sep 1;152(5):463-73. doi: 10.1093/aje/152.5.463.
PMID: 10981461BACKGROUNDDelanerolle G, Phiri P, Elneil S, Talaulikar V, Eleje GU, Kareem R, Shetty A, Saraswath L, Kurmi O, Benetti-Pinto CL, Muhammad I, Rathnayake N, Toh TH, Aggarwal IM, Shi JQ, Taylor J, Riach K, Potocnik K, Litchfield I, Kemp HF, Briggs P; MARIE collaborative. Menopause: a global health and wellbeing issue that needs urgent attention. Lancet Glob Health. 2025 Feb;13(2):e196-e198. doi: 10.1016/S2214-109X(24)00528-X. Epub 2024 Dec 18. No abstract available.
PMID: 39708829BACKGROUNDHarlow SD, Gass M, Hall JE, Lobo R, Maki P, Rebar RW, Sherman S, Sluss PM, de Villiers TJ; STRAW + 10 Collaborative Group. Executive summary of the Stages of Reproductive Aging Workshop + 10: addressing the unfinished agenda of staging reproductive aging. J Clin Endocrinol Metab. 2012 Apr;97(4):1159-68. doi: 10.1210/jc.2011-3362. Epub 2012 Feb 16.
PMID: 22344196BACKGROUNDMosconi L, Rahman A, Diaz I, Wu X, Scheyer O, Hristov HW, Vallabhajosula S, Isaacson RS, de Leon MJ, Brinton RD. Increased Alzheimer's risk during the menopause transition: A 3-year longitudinal brain imaging study. PLoS One. 2018 Dec 12;13(12):e0207885. doi: 10.1371/journal.pone.0207885. eCollection 2018.
PMID: 30540774BACKGROUND
Biospecimen
Whole blood and plasma will be retained
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Stephen Cunnane, Ph.D
Université de Sherbrooke
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 24, 2025
First Posted
June 15, 2025
Study Start
July 1, 2025
Primary Completion
March 1, 2026
Study Completion (Estimated)
July 1, 2026
Last Updated
June 15, 2025
Record last verified: 2025-05