CClinicalTrials.gg
RecruitingNCT07177781Updated Sep 17, 2025

Effects of Wild Blueberry Consumption on Brain Function in Elderly

An interventional study of Wild blueberry powder in Brain Insulin-sensitivity, Brain Vascular Function and Cerebral Blood Flow, sponsored by Maastricht University Medical Center. Recruiting at 1 site in Netherlands. Open to participants aged 60 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-09-17.

Sponsored by Maastricht University Medical Center · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Primary completion was expected by Jun 2026, 4 months ago, but the record still lists the study as recruiting.
  • Started Dec 2024; still recruiting 1 year 10 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
36
Allocation
Randomized
Ages
60 Years to 75 Years
Sex
All
01

Study summary

Impaired brain vascular function precedes the development of reduced cognitive performance, while brain insulin-resistance is associated with cognitive decline. Evidence from epidemiological studies has already suggested beneficial effects of wild blueberry consumption on cognitive performance. However, underlying mechanisms have not yet been established, while well-controlled trials on longer-term effects of wild blueberries on cognitive performance are highly needed. This study hypothesizes that longer-term wild blueberry intake improves (regional) brain vascular function and insulin-sensitivity, thereby improving cognitive performance in older men and women. The primary objectives are to investigate in older adults the effect wild blueberry consumption on (regional) vascular function and insulin-sensitivity in the brain, and to focus on changes in cognitive performance as assessed with the CANTAB neuropsychological test battery (i.e., secondary objective). Cerebral blood flow responses before (brain vascular function) and after the administration of intranasal insulin spray (brain insulin-sensitivity) will be non-invasively quantified by the non-invasive gold standard magnetic resonance imaging (MRI)- perfusion method Arterial Spin Labeling (ASL).

02

Conditions studied

  • Brain Insulin-sensitivity
  • Brain Vascular Function
  • Cerebral Blood Flow

Keywords

  • Cognitive performance
  • Brain insulin-resistance
  • Brain vascular function
  • Cerebral blood flow
  • Wild blueberry
  • Brain insulin-sensitivity
  • Anthocyanin
03

In context

Lead sponsor

Maastricht University Medical Center is the lead sponsor of 835 studies on the registry; 122 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Men and women, aged between 60-75 years
  • BMI between 25-35 kg/m2 (overweight or obese)
  • Fasting plasma glucose \< 7.0 mmol/L
  • Fasting serum total cholesterol \< 8.0 mmol/L
  • Fasting serum triacylglycerol \< 4.5 mmol/L
  • Systolic blood pressure \< 160 mmHg and diastolic blood pressure \< 100 mmHg
  • Stable body weight (weight gain or loss \< 3 kg in the past three months)
  • Willingness to give up being a blood donor from 8 weeks before the start of the study, during the study and for 4 weeks after completion of the study.
  • No difficult venipuncture as evidences during the screening visit.

Exclusion criteria

Exclusion Criteria:

  • Allergy or intolerance to berries
  • Left-handedness
  • Current smoker, or smoking cessation \< 12 months
  • Diabetic patients
  • Familial hypercholesterolemia
  • Abuse of drugs
  • More than 3 alcoholic consumptions per day
  • Use of products or dietary supplements known to interfere with the main outcomes as judged by the principal investigators
  • Use medication to treat blood pressure, lipid, or glucose metabolism
  • Use of an investigational product within another biomedical intervention trial within the previous 1-month
  • Severe medical conditions that might interfere with the study, such as epilepsy, asthma, kidney failure or renal insufficiency, chronic obstructive pulmonary disease, inflammatory bowel diseases, auto inflammatory diseases, and rheumatoid arthritis.
  • Active cardiovascular disease like congestive heart failure or cardiovascular event, such as an acute myocardial infarction or cerebrovascular accident.
  • Contra-indications for MRI imaging (e.g., pacemaker, surgical clips/material in body, metal splinter in eye, claustrophobia)
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Triple (Participant, Investigator, Outcomes assessor)
Enrollment
36 participants (estimated)

Study arms

  • No intervention
    Matched placebo

    Adults will receive in a random order, freeze-dried wild blueberry powder or a matched placebo for sixteen weeks, with a wash-out period of minimal eight weeks in-between. The placebo is an appearance, taste and macronutrient, fiber and vitamin C-matched powder containing blueberry flavoring and aroma, coloring, glucose, fructose, citric acid, ascorbic acid, cellulose, fibersol-2, xanthin gum, pectin, and silica. The placebo does not contain any form of anthocyanin that could potentially interfere with the wild blueberry intervention.

  • Experimental
    Wild blueberry powder (wild blueberry intervention)

    The wild blueberry intervention consist of 100% freeze-dried wild blueberry powder, containing anthocyanins. Participants will consume daily 26 grams of freeze-dried wild blueberry powders for 16 weeks. Participants should consume the powders by mixing them with water once daily in the morning

    Dietary Supplement: Wild blueberry powder

Interventions

  • Dietary supplementWild blueberry powder

    Study volunteers will consume daily 26 grams of wild blueberry powder for 16 weeks, which has to be dissolved in a glass of water.

06

What researchers measure

Primary outcomes

  1. MRI-brain perfusion measurement Arterial Spin Labeling

    Cerebral blood flow responses before (brain vascular function) and after the administration of intranasal insulin (brain insulin-sensitivity) will be non-invasively quantified by MRI-perfusion method Arterial Spin Labeling (ASL).

    Time frame: Change in brain perfusion at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

Secondary outcomes

  1. Cognitive performance measurement by Cambridge Neuropsychological Test Automated Battery

    Cognitive performance will be investigated using Cambridge Neuropsychological Test Automated Battery (CANTAB), which will be performed on an Ipad. The cognitive task performance will be tested in three important cognitive domains namely attention, memory and executive function. Learning effects are prevented by randomization of the intervention periods and the settings of CANTAB, including parallel modes and stimuli randomization. The test will be performed in Dutch.

    Time frame: Change in cognitive performance at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  2. Brain Insulin Sensitivity

    Change in cerebral blood flow, as quantified non-invasively by the MRI perfusion method Arterial Spin Labeling (ASL), before and after application of intranasal insulin (160 IU).

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

Other outcomes

  1. Assessment of Glucose Metabolism by 7-Point OGTT

    Glucose metabolism will be evaluated using a 7-point oral glucose tolerance test (OGTT). In this test, a participant drinks a glucose-containing solution, and blood samples are collected at seven time points (0', 15', 30', 45', 60', 90', 120') over two hours. Measuring glucose levels at seven different points provides a detailed picture of how the body processes and clears sugar from the blood, helping to identify early changes in insulin sensitivity and overall metabolic health.

    Time frame: Change in glucose metabolism at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  2. Assessment of cardiovascular function by Flow-Mediated Vasodilation (FMD)

    Vascular health will be assessed by flow-mediated vasodilation (FMD, expressed as %), a non-invasive ultrasound technique that measures how well a blood vessel widens in response to increased blood flow. By briefly restricting blood flow in the arm (by means of a cuff on the fore arm) and then releasing it, investigators can see how effectively the brachial artery relaxes and dilates. This response reflects the function of the endothelium, the inner lining of blood vessels, and is considered an important indicator of cardiovascular health. The percentage indicates the relative increase in the brachial diameter compared to its baseline size.

    Time frame: Change in cardiovascular function at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  3. Assessment of cardiovascular function by Carotid Artery Reactivity (CAR)

    The peripheral vascular function will be assessed by the carotid artery reactivity (CAR, expressed as %), a non-invasive technique that evaluates the ability of the carotid artery to dilate or constrict in response to specific physiological or pharmacological stimuli. The percentage indicates the relative change in the carotid artery's diameter compared to its baseline size. This method provides insight into endothelial function, vascular smooth muscle responsiveness, and overall arterial health, serving as an early marker for cardiovascular risk.

    Time frame: Change in peripheral vascular function at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  4. Assessment of Arterial Stiffness by Pulse Wave Analysis (PWA)

    Arterial stiffness and central blood pressure will be assessed by pulse wave analysis (PWA). This non-invasive method records the shape of the pulse wave generated by each heartbeat, from the wrist or arm. From this signal, central blood pressure is expressed in millimeters of mercury (mmHg), while derived indices of arterial stiffness (such as the augmentation index, AIx) are expressed in percentages (%), representing the relative contribution of reflected waves to the overall pulse wave. By analyzing how the wave travels and reflects in the arteries, investigators can gain insight into arterial elasticity, vascular resistance, and the overall condition of the cardiovascular system.

    Time frame: Change in arterial stiffness at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  5. Assessment of arterial stiffness by Pulse Wave Velocity (PWV)

    Arterial stiffness will be assessed by pulse wave velocity (PWV, expressed in meters per second \[m/s\]). This non-invasive technique measures the speed at which the pressure wave created by the heartbeat travels through the arteries. Since stiffer arteries allow the wave to move faster, PWV provides a reliable indicator of vascular elasticity and cardiovascular risk.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  6. Assessment of microvasculature by Retinal Microvascular Calibers

    The microcirculation will be assessed by measuring retinal microvascular calibers. Using non-invasive retinal imaging, the diameters of small blood vessels in the back of the eye are quantified. Because the retina offers a unique 'window' to the body's microvascular system, changes in these tiny vessel widths can reveal early signs of vascular dysfunction and give an indication about cardiometabolic health.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  7. Measuring blood pressure using office and 24-hour ambulatory monitoring

    Blood pressure (systolic and diastolic) and heart rate will be assessed through both office measurements and 24-hour ambulatory monitoring. Office blood pressure provides standardized readings taken in a clinical setting, while ambulatory blood pressure monitoring records values at regular intervals throughout the day (every 15 minutes) and night (every 30 minutes) as individuals go about their daily lives. Together, these methods give a more complete picture of blood pressure patterns, capturing variability, nighttime values, and potential masked or white-coat hypertension.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  8. Assessment of blood lipids: TAG, TC, and HDL-C

    Blood lipid levels will be assessed by measuring triacylglycerol (TAG), total cholesterol (TC), and high-density lipoprotein cholesterol (HDL-C). These standard blood tests provide important information about fat metabolism and cardiovascular risk.

    Time frame: Change in blood lipids at the end of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  9. Assessment of blood glucose levels

    Blood glucose will be measured from blood samples to determine the concentration of sugar in the bloodstream. Measuring blood glucose provides important information about metabolic health.

    Time frame: Change in blood glucose levels at the end of a 16-week wild blueberry powder and a 16-week control period with a matched placebo.

  10. Evaluation of metabolic function by insulin measurement

    Insulin levels will be measured from blood samples to evaluate how the body regulates glucose. Measuring insulin provides insight into metabolic function and insulin sensitivity.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  11. Metabolic risk markers - Low-grade systemic inflammation

    Markers for low-grade systemic inflammation (IL-6,TNF-alfa) will be assessed in the blood plasma to determine low-grade systemic inflammation.

    Time frame: Change in metabolic risk markers at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  12. High-resolution structural brain imaging with MPRAGE

    Brain structure will be assessed using a structural MRI with an MPRAGE sequence. This high-resolution imaging technique provides detailed pictures of brain anatomy, allowing investigators to examine the size and shape of different brain regions.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  13. Single nucleotide polymorphism (SNPs)

    Leucocytes will be isolated from EDTA blood. DNA will be isolated from these leucocytes according to standard procedures. DNA will be used for analyzing the presence of known SNPs in genes encoding proteins known to play a role in cholesterol metabolism.

    Time frame: Change in outcomes at baseline measurements at the start of a 16-week wild blueberry intervention and a 16-week control period with a matched placebo.

  14. Other perceivable benefits: Assessment of Quality of Life

    Quality of life will be assessed using a 32-item questionnaire that covers multiple aspects of daily living and well-being. The questionnaire asks about physical health, emotional state, social relationships, and overall life satisfaction. By combining responses across these domains, it provides a broad picture of how individuals perceive and experience their quality of life.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  15. Other perceivable benefits: assessment of sleep by the Pittsburgh Sleep Quality Index (PSQI)

    Sleep characteristics will be assessed using the 10-item Pittsburgh Sleep Quality Index (PSQI). This standardized questionnaire asks about different aspects of sleep over the past month, including sleep duration, quality, and disturbances. By combining the responses, the PSQI provides an overall score that reflects both subjective sleep quality and potential sleep problems

    Time frame: Change in sleep characteristics at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  16. Other perceivable benefits: assessment of mood by the Affect Grid

    Mood will be assessed using the Affect Grid, a simple self-report tool that measures two key dimensions of emotion: pleasure (ranging from positive to negative feelings) and arousal (ranging from calm to highly activated). Participants indicate their current state on a single-page grid, providing a quick and intuitive snapshot of their mood at that moment.

    Time frame: Change in mood at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  17. Other perceivable benefits: Assessment of Stress by the Perceived Stress Scale (PSS)

    Stress will be assessed using the Perceived Stress Scale (PSS), a widely used questionnaire that asks about feelings and thoughts during the past month. The PSS captures how unpredictable, uncontrollable, and overloaded participants perceive their lives to be. Higher scores indicate greater levels of perceived stress, providing a useful measure of everyday psychological strain.

    Time frame: Change in outcomes at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  18. Weight

    Weight will be determined in kilograms.

    Time frame: At all test days (week 0, 8, 16, 24, 32, 40).

  19. Length

    Length will be determined in meters.

    Time frame: At all test days (week 0, 8, 16, 24, 32, 40).

  20. Waist circumference

    Waist circumference in centimeters.

    Time frame: At all test days (week 0, 8, 16, 24, 32, 40).

  21. Hip circumference

    Hip circumference in centimeters.

    Time frame: At all test days (week 0, 8, 16, 24, 32, 40).

  22. Assessment of food intake by Food Frequency Questionnaire (FFQ)

    Food intake will be assessed using the Food Frequency Questionnaire (FFQ), a standardized dietary survey that asks participants how often they consume a wide range of foods and beverages in the past month. This method provides an overview of habitual dietary patterns, nutrient intake, and overall diet quality, making it a useful tool for linking nutrition with health outcomes.

    Time frame: Change in food intake at the end of a 16-week wild blueberry intervention and 16-week control period with a matched placebo.

  23. Assessment of cerebral perfusion by Transcranial Doppler Ultrasound (TCD)

    Cerebral perfusion will be assessed using Transcranial Doppler ultrasound, a non-invasive method that measures blood flow in the middle cerebral artery. During the procedure, continuous blood flow velocity (CBFv) is recorded through the skull using ultrasound waves. This approach provides valuable information about the cerebrovascular health and function.

    Time frame: Change in cerebral perfusion by TCD will be measured during baseline and at the end of 16-week intervention (wild blueberry) or placebo period.

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Wolters FJ, Zonneveld HI, Hofman A, van der Lugt A, Koudstaal PJ, Vernooij MW, Ikram MA; Heart-Brain Connection Collaborative Research Group. Cerebral Perfusion and the Risk of Dementia: A Population-Based Study. Circulation. 2017 Aug 22;136(8):719-728. doi: 10.1161/CIRCULATIONAHA.117.027448. Epub 2017 Jun 6. PubMed 28588075 ↗
  • Ahles S, Stevens YR, Joris PJ, Vauzour D, Adam J, de Groot E, Plat J. The Effect of Long-Term Aronia melanocarpa Extract Supplementation on Cognitive Performance, Mood, and Vascular Function: A Randomized Controlled Trial in Healthy, Middle-Aged Individuals. Nutrients. 2020 Aug 17;12(8):2475. doi: 10.3390/nu12082475. PubMed 32824483 ↗
  • Ivanov D, Gardumi A, Haast RAM, Pfeuffer J, Poser BA, Uludag K. Comparison of 3T and 7T ASL techniques for concurrent functional perfusion and BOLD studies. Neuroimage. 2017 Aug 1;156:363-376. doi: 10.1016/j.neuroimage.2017.05.038. Epub 2017 May 19. PubMed 28528845 ↗
  • Kullmann S, Veit R, Peter A, Pohmann R, Scheffler K, Haring HU, Fritsche A, Preissl H, Heni M. Dose-Dependent Effects of Intranasal Insulin on Resting-State Brain Activity. J Clin Endocrinol Metab. 2018 Jan 1;103(1):253-262. doi: 10.1210/jc.2017-01976. PubMed 29095982 ↗
  • Alsop DC, Detre JA, Golay X, Gunther M, Hendrikse J, Hernandez-Garcia L, Lu H, MacIntosh BJ, Parkes LM, Smits M, van Osch MJ, Wang DJ, Wong EC, Zaharchuk G. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med. 2015 Jan;73(1):102-16. doi: 10.1002/mrm.25197. Epub 2014 Apr 8. PubMed 24715426 ↗
  • Azari H, Morovati A, Pourghassem Gargari B, Sarbakhsh P. Beneficial effects of blueberry supplementation on the components of metabolic syndrome: a systematic review and meta-analysis. Food Funct. 2022 May 10;13(9):4875-4900. doi: 10.1039/d1fo03715c. PubMed 35445669 ↗
  • Joris PJ, Plat J, Bakker SJ, Mensink RP. Long-term magnesium supplementation improves arterial stiffness in overweight and obese adults: results of a randomized, double-blind, placebo-controlled intervention trial. Am J Clin Nutr. 2016 May;103(5):1260-6. doi: 10.3945/ajcn.116.131466. Epub 2016 Apr 6. PubMed 27053384 ↗
  • Joris PJ, Plat J, Kusters YH, Houben AJ, Stehouwer CD, Schalkwijk CG, Mensink RP. Diet-induced weight loss improves not only cardiometabolic risk markers but also markers of vascular function: a randomized controlled trial in abdominally obese men. Am J Clin Nutr. 2017 Jan;105(1):23-31. doi: 10.3945/ajcn.116.143552. Epub 2016 Nov 23. PubMed 27881395 ↗
  • Nijssen KMR, Mensink RP, Plat J, Joris PJ. Longer-term mixed nut consumption improves brain vascular function and memory: A randomized, controlled crossover trial in older adults. Clin Nutr. 2023 Jul;42(7):1067-1075. doi: 10.1016/j.clnu.2023.05.025. Epub 2023 Jun 3. PubMed 37296019 ↗
  • Tischmann L, Adam TC, Mensink RP, Joris PJ. Longer-term soy nut consumption improves vascular function and cardiometabolic risk markers in older adults: Results of a randomized, controlled cross-over trial. Clin Nutr. 2022 May;41(5):1052-1058. doi: 10.1016/j.clnu.2022.03.014. Epub 2022 Mar 14. PubMed 35395555 ↗
  • Nijssen KM, Mensink RP, Plat J, Ivanov D, Preissl H, Joris PJ. Mixed nut consumption improves brain insulin sensitivity: a randomized, single-blinded, controlled, crossover trial in older adults with overweight or obesity. Am J Clin Nutr. 2024 Feb;119(2):314-323. doi: 10.1016/j.ajcnut.2023.12.010. Epub 2023 Dec 20. PubMed 38128733 ↗
  • Kleinloog JPD, Mensink RP, Smeets ETHC, Ivanov D, Joris PJ. Acute inorganic nitrate intake increases regional insulin action in the brain: Results of a double-blind, randomized, controlled cross-over trial with abdominally obese men. Neuroimage Clin. 2022;35:103115. doi: 10.1016/j.nicl.2022.103115. Epub 2022 Jul 14. PubMed 35843050 ↗
  • Nijssen KMR, Mensink RP, Joris PJ. Effects of Intranasal Insulin Administration on Cerebral Blood Flow and Cognitive Performance in Adults: A Systematic Review of Randomized, Placebo-Controlled Intervention Studies. Neuroendocrinology. 2023;113(1):1-13. doi: 10.1159/000526717. Epub 2022 Aug 24. PubMed 36219990 ↗
  • Kleinloog JPD, Tischmann L, Mensink RP, Adam TC, Joris PJ. Longer-term soy nut consumption improves cerebral blood flow and psychomotor speed: results of a randomized, controlled crossover trial in older men and women. Am J Clin Nutr. 2021 Dec 1;114(6):2097-2106. doi: 10.1093/ajcn/nqab289. PubMed 34510189 ↗
  • Rees A, Dodd GF, Spencer JPE. The Effects of Flavonoids on Cardiovascular Health: A Review of Human Intervention Trials and Implications for Cerebrovascular Function. Nutrients. 2018 Dec 1;10(12):1852. doi: 10.3390/nu10121852. PubMed 30513729 ↗
  • Wood E, Hein S, Mesnage R, Fernandes F, Abhayaratne N, Xu Y, Zhang Z, Bell L, Williams C, Rodriguez-Mateos A. Wild blueberry (poly)phenols can improve vascular function and cognitive performance in healthy older individuals: a double-blind randomized controlled trial. Am J Clin Nutr. 2023 Jun;117(6):1306-1319. doi: 10.1016/j.ajcnut.2023.03.017. Epub 2023 Mar 25. PubMed 36972800 ↗
  • Ahles S, Joris PJ, Plat J. Effects of Berry Anthocyanins on Cognitive Performance, Vascular Function and Cardiometabolic Risk Markers: A Systematic Review of Randomized Placebo-Controlled Intervention Studies in Humans. Int J Mol Sci. 2021 Jun 17;22(12):6482. doi: 10.3390/ijms22126482. PubMed 34204250 ↗
  • Snyder HM, Corriveau RA, Craft S, Faber JE, Greenberg SM, Knopman D, Lamb BT, Montine TJ, Nedergaard M, Schaffer CB, Schneider JA, Wellington C, Wilcock DM, Zipfel GJ, Zlokovic B, Bain LJ, Bosetti F, Galis ZS, Koroshetz W, Carrillo MC. Vascular contributions to cognitive impairment and dementia including Alzheimer's disease. Alzheimers Dement. 2015 Jun;11(6):710-7. doi: 10.1016/j.jalz.2014.10.008. Epub 2014 Dec 12. PubMed 25510382 ↗
  • Joris PJ, Mensink RP, Adam TC, Liu TT. Cerebral Blood Flow Measurements in Adults: A Review on the Effects of Dietary Factors and Exercise. Nutrients. 2018 Apr 25;10(5):530. doi: 10.3390/nu10050530. PubMed 29693564 ↗
  • Baker LD, Cross DJ, Minoshima S, Belongia D, Watson GS, Craft S. Insulin resistance and Alzheimer-like reductions in regional cerebral glucose metabolism for cognitively normal adults with prediabetes or early type 2 diabetes. Arch Neurol. 2011 Jan;68(1):51-7. doi: 10.1001/archneurol.2010.225. Epub 2010 Sep 13. PubMed 20837822 ↗
  • Kullmann S, Heni M, Hallschmid M, Fritsche A, Preissl H, Haring HU. Brain Insulin Resistance at the Crossroads of Metabolic and Cognitive Disorders in Humans. Physiol Rev. 2016 Oct;96(4):1169-209. doi: 10.1152/physrev.00032.2015. Epub 2016 Aug 3. PubMed 27489306 ↗
  • Craft S. The role of metabolic disorders in Alzheimer disease and vascular dementia: two roads converged. Arch Neurol. 2009 Mar;66(3):300-5. doi: 10.1001/archneurol.2009.27. PubMed 19273747 ↗
  • Neergaard JS, Dragsbaek K, Christiansen C, Nielsen HB, Brix S, Karsdal MA, Henriksen K. Metabolic Syndrome, Insulin Resistance, and Cognitive Dysfunction: Does Your Metabolic Profile Affect Your Brain? Diabetes. 2017 Jul;66(7):1957-1963. doi: 10.2337/db16-1444. Epub 2017 Apr 7. PubMed 28389469 ↗
  • van der Flier WM, Skoog I, Schneider JA, Pantoni L, Mok V, Chen CLH, Scheltens P. Vascular cognitive impairment. Nat Rev Dis Primers. 2018 Feb 15;4:18003. doi: 10.1038/nrdp.2018.3. PubMed 29446769 ↗
  • Biessels GJ, Deary IJ, Ryan CM. Cognition and diabetes: a lifespan perspective. Lancet Neurol. 2008 Feb;7(2):184-90. doi: 10.1016/S1474-4422(08)70021-8. PubMed 18207116 ↗
  • Gorelick PB, Scuteri A, Black SE, Decarli C, Greenberg SM, Iadecola C, Launer LJ, Laurent S, Lopez OL, Nyenhuis D, Petersen RC, Schneider JA, Tzourio C, Arnett DK, Bennett DA, Chui HC, Higashida RT, Lindquist R, Nilsson PM, Roman GC, Sellke FW, Seshadri S; American Heart Association Stroke Council, Council on Epidemiology and Prevention, Council on Cardiovascular Nursing, Council on Cardiovascular Radiology and Intervention, and Council on Cardiovascular Surgery and Anesthesia. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the american heart association/american stroke association. Stroke. 2011 Sep;42(9):2672-713. doi: 10.1161/STR.0b013e3182299496. Epub 2011 Jul 21. PubMed 21778438 ↗
  • Arnold SE, Arvanitakis Z, Macauley-Rambach SL, Koenig AM, Wang HY, Ahima RS, Craft S, Gandy S, Buettner C, Stoeckel LE, Holtzman DM, Nathan DM. Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums. Nat Rev Neurol. 2018 Mar;14(3):168-181. doi: 10.1038/nrneurol.2017.185. Epub 2018 Jan 29. PubMed 29377010 ↗

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 17, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07177781
Lead sponsor
Maastricht University Medical Center
Collaborators
Wild Blueberry Association of North America
Responsible party
Sponsor
First posted
Sep 17, 2025
Start date
Dec 5, 2024
Primary completion
Jun 2026 (estimated)
Completion
Aug 31, 2026 (estimated)
Last update
Sep 17, 2025

Study contacts

Peter P.J. Joris, PhD
Contact
p.joris@maastrichtuniversity.nl
0031883887250
Tineke Degens, MSc
Contact
tineke.degens@maastrichtuniversity.nl
0031433883547

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

Contact study team

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion