Next Article in Journal
The Effects of Commonly Consumed Dietary Fibres on the Gut Microbiome and Its Fibre Fermentative Capacity in Adults with Inflammatory Bowel Disease in Remission
Previous Article in Journal
Moderate Folic Acid Supplementation in Pregnant Mice Results in Altered Sex-Specific Gene Expression in Brain of Young Mice and Embryos
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 14
Issue 5
10.3390/nu14051052
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Incremental Doses of Nitrate-Rich Beetroot Juice Do Not Modify Cognitive Function and Cerebral Blood Flow in Overweight and Obese Older Adults: A 13-Week Pilot Randomised Clinical Trial

by
Abrar M. Babateen
1,2,
Oliver M. Shannon
1,
Gerard M. O’Brien
1,
Edward Okello
1,3,
Ellen Smith
4,5,
Dilara Olgacer
1,
Christina Koehl
1,
William Fostier
1,
Emma Wightman
4,5,
David Kennedy
4,5,
John C. Mathers
1 and
Mario Siervo
1,6,*
1
Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
2
Clinical Nutrition Department, College of Applied Medical Sciences, Umm Al-Qura University, Makkah 21955, Saudi Arabia
3
Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
4
Brain Performance and Nutrition Research Centre, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
5
Nutrition Trials at Northumbria (NUTRAN), Northumbria University, Newcastle upon Tyne NE1 8ST, UK
6
School of Life Sciences, Queen’s Medical Centre, The University of Nottingham Medical School, Nottingham NG7 2UH, UK
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(5), 1052; https://doi.org/10.3390/nu14051052
Submission received: 21 January 2022 / Revised: 20 February 2022 / Accepted: 25 February 2022 / Published: 2 March 2022
(This article belongs to the Section Nutrition and Obesity)
Browse Figures
Review Reports Versions Notes

Abstract

:
Nitrate-rich food increases nitric oxide (NO) production and may have beneficial effects on vascular, metabolic, and brain function. This pilot study tested the effects of prolonged consumption of a range of doses of dietary nitrate (NO3−), provided as beetroot juice, on cognitive function and cerebral blood flow (CBF) in overweight and obese older participants. The study had a 13-week single-blind, randomised, parallel design, and 62 overweight and obese older participants (aged 60 to 75 years) received the following interventions: (1) high NO3− (2 × 70 mL beetroot juice/day) (2) medium NO3− (70 mL beetroot juice/day), (3) low NO3− (70 mL beetroot juice on alternate days), or (4) placebo (70 mL of NO3−-depleted beetroot juice on alternate days). Cognitive functions were assessed using the Computerised Mental Performance Assessment System (COMPASS) assessment battery. CBF, monitored by concentration changes in oxygenated and deoxygenated haemoglobin, was assessed in the frontal cortex using near-infrared spectroscopy. The findings of this pilot study showed that cognitive function and CBF were not affected by supplementation with NO3−-rich beetroot juice for 13 weeks, irrespective of the NO3− dose administered. These findings require confirmation in larger studies using more sophisticated imaging methods (i.e., MRI) to determine whether prolonged dietary NO3− supplementation influences brain function in older overweight people.

1. Introduction

Ageing is associated with a progressive decline in cognitive, metabolic, and cardiovascular functions [1,2,3]. Vascular risk factors, including hypertension and obesity, are independently related to increased risk of cognitive decline and dementia in middle-aged and older adults [4]. The association between cognitive impairment and reduced cerebral blood flow (CBF) has been reported in several studies [5,6,7,8], and reduced CBF may contribute to the development of dementia [8,9]. Data from 1730 older individuals (aged 55 years or older) showed that higher baseline CBF was associated with a lower risk of cognitive decline and dementia diagnosis after a 6.5-year follow-up [10]. In addition, a recent observational study showed that higher CBF was associated with improved executive, attention, and memory function in 452 older white Europeans [11].
Nitric oxide (NO) is a gaseous and highly reactive molecule that can diffuse easily to surrounding tissues. NO is produced via the activity of inter-connected enzymatic and non-enzymatic pathways [12]. The former pathway utilises arginine as a precursor, which is converted into equimolar amounts of NO and citrulline by NO synthase, existing in three different function-specific isoforms (i.e., endothelial, inducible, and neuronal). Optimal functioning of this pathway requires various cofactors, including NADPH, calmodulin, and tetrahydrobiopterin [12]. The non-enzymatic pathway includes the action of oral commensal bacteria that reduce NO3− into NO2−, which is then converted into NO under conditions of low pH (i.e., in the stomach) or low oxygen tension (i.e., in peripheral microcirculation) [13]. NO is a neurotransmitter regulating multiple neurobiological processes, such as the regulation of synaptic plasticity [12]. NO production decreases with ageing, which is likely to contribute to degenerative processes of the cardiovascular and central nervous systems [14]. Ageing-related NO insufficiency is multifactorial, but oxidative stress has been suggested as the primary factor [15,16]. NO is scavenged by reactive oxygen species, mainly superoxide, to form a potent oxidant called peroxynitrite [17] that reduces NO concentration in cells [18]. Peroxynitrite generation is one of the crucial pathogenic mechanisms in neurodegenerative disorders [19].
Nutrition plays a key role in the development, maintenance, and treatment of mental health and related disorders, whose importance has been unified under the umbrella term nutritional psychiatry [20,21]. Nutritional and lifestyle interventions capable of maintaining or restoring normal NO production may reduce the risk of atherosclerosis and cardiovascular diseases [22]. In turn, this may reduce the risk of cognitive impairment and dementia, since better cardiovascular health is associated with a lower rate of cognitive decline and risk of dementia [23]. For instance, polyphenols and polyunsaturated fatty acids may improve brain health via their anti-inflammatory properties and increased NO availability [24]. Specifically, the two NO pathways can be targeted by nutritional and dietary interventions that boost NO production via the enzymatic (i.e., arginine, citrulline, polyphenols, and tetrahydrobiopterin cofactor) or non-enzymatic (NO3− or NO2 supplementation or NO3−-rich foods, such as beetroot, cabbage, spinach, or rocket) pathways [13].
NO3− supplementation may provide a non-pharmacological dietary strategy with which to improve CBF. Recent studies have reported improvements in cognitive function (executive performance) and motor skills after dietary NO3− supplementation, which appear to be mediated by augmented CBF and the efficiency of neuronal metabolism [25,26]. However, Clifford et al. [27] conducted a systematic review and meta-analysis on the topic, which indicated a lack of convincing evidence for the effects of nitrate (NO3−) supplementation on cognitive function and CBF. Overall, trials were characterized by small sample sizes (<30 participants), short duration (only one study had a duration of 10 weeks [28], whereas the remaining trials had a duration of less than two weeks), and most of the trials included healthy, normal-weight participants. In contrast, a recent study found that the consumption of raw beetroot for eight weeks improved components of cognitive function, including sustained attention, processing speed, and fatigue resistance, in older patients with diabetes [29]. The presence of effects in this sample could be due to the poorer health of these participants, including being overweight. It is now well established that obesity is associated with endothelial dysfunction, which is characterised by NO insufficiency [30,31].
We hypothesised that prolonged supplementation with dietary NO3− would enhance brain health in older obese and overweight individuals, who are at greater risk of cognitive dysfunction. This pilot RCT was designed primarily to determine the feasibility and acceptability of the protocol for a 13-week intervention study in which overweight and obese older participants were asked to consume a range of doses of NO3−-rich beetroot juice for 13 weeks, and the primary outcomes for this have been described elsewhere [32]. The secondary aim of the study tested whether the different doses of dietary NO3− result in changes in cognitive, vascular, and pulmonary functions and CBF. This paper focuses on cognitive function and CBF.

2. Materials and Methods

2.1. Ethical Approval and Consent

The study (ISRCTN14746723) was approved by the Faculty of Medical Sciences, Newcastle University (1504/4477/2018). Potential participants were asked to read and sign the consent form before entering the study.

2.2. Participants and Study Design

This was a 13-week, randomized, single-blind, placebo-controlled, four-arm parallel feasibility trial. Male and female older participants (60 to 75 years old) with a body mass index (BMI) range between 25 and 40 kg/m2 were included in the study. A detailed list of the inclusion and exclusion criteria is reported elsewhere [32]. Eligible participants were randomized into one of four treatments:
  • High NO3−: two 70 mL shots of concentrated beetroot juice per day (approximately ~400 mg of NO3− per shot, as reported by manufacturer (James White Company, Ashbocking, Suffolk, UK)), one every morning (~8 am) and one every evening (~9 pm).
  • Medium NO3−: one shot of concentrated beetroot juice every evening (~9 pm).
  • Low NO3−: one shot of concentrated beetroot juice every other evening (~9 pm).
  • Placebo: one shot of NO3−-depleted beetroot juice (~0.001 mg of NO3−) every other evening (~9 pm).
All included participants were cognitively healthy with no self-reported history of cognitive impairment.

2.3. Study Setting

The study visits were conducted at the NU-Food research facility at Newcastle University. The CBF measurements were performed at the Brain Performance Nutrition Research Centre at Northumbria University.

2.4. Data Collection Procedures

Measurements were performed at the Newcastle University research facilities between 09:00 and 10:00. Body composition, waist circumference, and biological samples, including blood, saliva, and urine samples, as well as salivary strips, were collected. Biological sample collection procedures and related results have been reported elsewhere [32,33]. Self-reported physical activity was assessed using the short version of the international physical activity questionnaire (IPAQ). In addition, measurements of cognitive, vascular, and pulmonary functions were performed. The measurement protocols have been described in detail previously [32]. Before they left the research facility, participants were provided with a small snack (orange juice and a muffin) and were asked to continue following the low-NO3− diet for the rest of the day. All measurements were taken in fasting condition (~12 h). Measurements of CBF performed at Northumbria University occurred between 15:00 and 16:00. Results related to peripheral vascular and pulmonary functions will be published in due course.
The end-of-study visits were performed after 13 weeks following the same order as for the baseline measurements. These two visits were scheduled to occur ~12 h after the consumption of the last beetroot juice dose for high-NO3− and medium-NO3− groups, and ~36 h after the consumption of the last beetroot juice dose for the low-NO3− and placebo groups.
Participants were asked to follow a low-NO3− diet during the day before these visits and to limit their alcohol and caffeine consumption for 24 h before the visit. Participants were also instructed to maintain their habitual dietary habits and physical activity and to avoid using mouthwash during the study [34]. Self-reported dietary NO3− intake for the participants (excluding the intervention supplement) during the study was also assessed via an online validated platform (Intake 24) [33].

2.5. Compliance with Intervention

Compliance with the intervention was assessed subjectively by completing a daily compliance log, which was used to record the time when participants consumed the beetroot juice. Compliance was also assessed objectively by measuring NO3− and nitrite (NO2−) concentrations in plasma, saliva, and urine samples [33].

2.6. Measurements

The measurements described below were applied at baseline and after 13 weeks.

2.6.1. Anthropometry and Body Composition

Height to the nearest 0.5 cm was measured using a stadiometer with an adjustable headpiece. Body weight and body composition parameters (fat mass, fat-free mass, body fat %, and total body water) were assessed using bioelectrical impedance analysis (Tanita BC420 MA, Tanita Corporation, Tokyo, Japan). Weight and height were used to calculate BMI. Waist circumference was measured at the midpoint between the lowest margin of the last rib and the top of the iliac crest.

2.6.2. Cognitive Function

Participants were informed about the cognitive tasks and given three full practice runs at the screening visit to reduce learning effects and test anxiety prior to baseline testing day. This approach has been described by Bell et al. [35] and Goldberg et al. [36] as a solution to confounder practice effects in cognitive testing. The Computerised Mental Performance Assessment System software (COMPASS, University of Northumbria, Newcastle-upon-Tyne, www.cognitivetesting.co.uk (accessed on 31 December 2019)), which is sensitive to a range of nutritional interventions [37,38], was used to assess cognitive function. In addition, Trail Making Tasks A and B (TMT-A & TMT-B), which reportedly improved after 10 weeks of NO2− supplementation in older adults [28], were also included. The order of the tests included in the COMPASS software were: word presentation, immediate word recall, numeric working memory, choice reaction time, Stroop, digit vigilance, computerized corsi blocks, peg and ball, delayed word recall, and word recognition. The scores from appropriate tasks were combined to deliver measures of the following cognitive domains, namely, (a) accuracy of attention, (b) speed of attention, (c) working memory, (d) episodic memory, (e) speed of memory, (f) overall accuracy, and (g) overall speed, using the method described recently by Wightman et al. [39]. Figure 1 shows how these global cognitive measures were compiled from individual task sub-scores. The tasks were presented on a laptop PC with responses made either with the keyboard or using a mouse. A description of these cognitive tasks is provided in Table S1.
Figure 1 shows the order in which each of the cognitive tasks was completed at baseline and after 13 weeks with the approximate task timings and predominant cognitive domain of each task. It also demonstrates how measures of each of the global cognitive domains were constructed.

2.6.3. Quantitative Near-Infrared Spectroscopy (qNIRS)

A frequency domain “quantitative” NIRS system (OxiplexTS Frequency-Domain Near-Infrared Tissue Oximeter; ISS, Inc., Champaign, IL, USA) was used to measure CBF. NIRS has been used widely in neuroscience research to detect changes in cerebral blood oxygenation related to brain activity [40]. It allows for the quantification of oxygenated haemoglobin (HbO2) and deoxygenated haemoglobin (HHb) by giving the absolute measurements of absorption of near-infrared light emitted at two different wavelengths. From these values, total haemoglobin (THb) and oxygen saturation (Ox%) can be determined as follows: THb = HbO2 + HHB and Ox% = HbO2/THb.
After attaching the sensors to the participant’s forehead, a 5 min resting measurement of CBF parameters was recorded. Then, participants performed cognitive tasks known to activate the prefrontal cortex of the brain (serial subtraction 3 (3:20 min) and 7 (3:20 min), Stroop (3:00 min), and peg and ball (2:30 min) tasks), which are associated with an activation of the prefrontal cortex [41,42,43]. The qNIRS assessment timeline is described in Figure 2.
The qNIRS device was located in the Brain Performance Nutrition Centre, Northumbria University, and, therefore, this measurement was conducted on a separate day from the main cognitive function measurements that were conducted at Newcastle University. The measurement was performed between 15.00 and 16.00 after participants consumed a low-NO3− meal around 12.00.

2.7. Sample Size Calculation

This was a pilot study designed to assess the feasibility and acceptability of the proposed intervention. A sample size of 15 per intervention group was based on (i) the predicted effect size of the intervention on cognitive changes (Trail Making Task B) [28] and (ii) the guidelines indicated by Whitehead et al. [44], who provided guidance on sample size calculation for pilot studies with the aim of maximising the use of resources and avoiding type II errors. Specifically, a sample size of 15 individuals per group would provide a 90% power to detect a medium effect size between 0.3 and 0.7.

2.8. Statistical Methods

The Statistical Package for Social Sciences (IBM SPSS, version 23, Armonk, NY, USA) was used to perform the analysis. Data were checked for normality by visual inspections of histograms and by the Shapiro–Wilk test. One-way ANOVA tests were used to assess differences between the four intervention groups at baseline. Participants who did not complete the study were excluded from the main analyses; the baseline characteristics of non-completers were compared to participants with complete data using an independent t-test to identify the risk of selection bias.
To assess the effect of the 13-week intervention on cognitive performance, the 13-week data were used to calculate change from baseline for each cognitive score. A one-way ANOVA was then applied to evaluate differences between the intervention groups for each calculated change in cognitive score. The Dunnett test was conducted to compare active NO3− groups to the placebo control group. Summary data are presented as means ± SEM.
Regarding NIRS data analysis, the data were averaged across the two hemispheres. To test the effect on the resting CBF, data recorded at resting time (5 min) at 13 weeks were averaged and converted to establish the change from resting period at baseline, and a one-way ANOVA was then used to analyse the data. The NIRS data recorded during performing cognitive tasks were converted to the change from the resting period (average of the 5 min) at baseline, and then averaged into 4 different epochs for analysis. Epoch 1, 2, 3, and 4 represent the average of the data collected when performing serial subtraction 3 (3:20 min), serial subtraction 7 (3:20 min), Stroop (3 min), and peg and ball (2:30 min), respectively. Then, analysis was conducted via a repeated measures ANOVA, utilising the interventions and epochs as factors. Models were tested for sphericity using Mauchly’s test, and multivariate models were applied if these assumptions were violated. The Dunnett test was conducted to compare active NO3− groups to placebo control group. Statistical significance was set at p < 0.05. Summary data are presented as means ± SEM.

3. Results

3.1. Baseline Characteristics

Baseline characteristics of the trial participants are shown in Table 1. There were 24 (38.7%) males and 38 (61.3%) females, with a mean age 66 years (range: 60–73). BMI ranged from 25 to 39 kg/m2, with a mean of 30.4 kg/m2. Thirty-five participants (56%) were overweight and twenty-seven (44%) were obese. Intervention groups were well matched across all variables. Although sixty-two participants were enrolled in the study, twelve participants dropped out. The baseline characteristics of the 12 participants who dropped out did not differ from those of the participants who completed the study (data are shown in Table S2).

3.2. Effects of Nitrate Supplementation on Measures of Cognitive Function

The examination of the change from baseline (using an ANOVA) did not reveal any significant differences between intervention groups for any of the individual measures of cognitive function. In addition, when scores for the individual tests were combined to provide estimates of global cognitive measures, there were no significant treatment effects. The effects of NO3− dose on each cognitive measure and on the global cognitive domains are summarized in Table 2 and Table 3, respectively.

3.3. Effects of Nitrate Supplementation on Measures of qNIRS Parameters Used to Estimate Cerebral Blood Flow

No significant difference was found between the two resting periods at baseline and after 13 weeks for any CBF-related parameter (p > 0.05). The repeated measures ANOVA did not reveal any significant difference with epochs (cognitive tasks used; serial sub3, serial sub7, Stroop, and peg and ball) (p > 0.05), intervention group (p > 0.05), or the interaction between epoch and intervention group (p > 0.05) on any of the CBF parameters. Since no significant difference was found between epochs, data for all epochs within each participant were combined. Figure 3A–D show the effect on CBF-related measures including oxygen saturation, total haemoglobin, oxyhaemoglobin, and deoxyhaemoglobin. The mean values of qNIRS parameters for each intervention group at baseline and after 13 weeks are reported in Table S3.

3.4. Plasma Nitrate and Nitrite Concentrations

Other results have been reported elsewhere [33]. Briefly, a one-way ANOVA revealed that there was a statistically significant increase in the change from baseline in plasma NO3− concentration at 13 weeks (p < 0.001) with increasing beetroot juice consumption. However, evidence for a change from baseline in plasma NO2− concentration was less convincing (p = 0.054). Data are summarised in Figure S1.

4. Discussion

4.1. Summary of Main Findings

To date, this is one of the largest and longest-duration RCTs investigating the effects of incremental doses of supplemental NO3− in the form of beetroot juice on cognitive function and CBF in overweight and obese older adults. This study was designed primarily as a feasibility study and was not intended to provide a definitive investigation of the effects of supplemental NO3− on CBF and cognitive function. With that proviso, there was no evidence that cognitive function or CBF measured by NIRS were influenced by NO3− supplementation at any dose.

4.2. Effects of Prolonged Beetroot Juice Consumption on Cognition and on CBF

Beetroot juice is a rich source of NO3−, which is converted to NO following consumption. NO plays an important role in the regulation of CBF, neurotransmission, and neurovascular coupling [45,46]. Ageing is associated with endothelial dysfunction, which is characterised by a lowered release of endothelial NO. As a consequence, cerebral haemodynamics can be disturbed by reduced NO availability and higher reactive oxygen species production [47]. Lowered CBF is widely acknowledged as a key contributor to cognitive decline [48,49]. The present study is the first to investigate the effect of 13 weeks of consumption of beetroot juice as a rich source of NO3− on cognition and CBF in older overweight and obese individuals who are at greater risk of endothelial dysfunction and cognitive impairment.
The study found no effect of supplementation with beetroot juice on resting CBF or stimulated CBF (during the performance of cognitive tasks that activate the prefrontal cortex) following high-NO3−, medium-NO3−, or low-NO3− doses in comparison with a placebo. It has previously been reported that acute dietary NO3− supplementation with beetroot juice increased CBF in young healthy adults, when measured using a similar approach (NIRS) to the one used in the current study [25]. However, evidence regarding possible associations between dietary NO3− and CBF in older people is very limited. Working with older adults, Presley et al. found that resting regional white matter perfusion (dorsolateral prefrontal cortex only), assessed via magnetic resonance imaging, was improved following two days of high-NO3− diet supplementation [26]. In contrast, Kelly et al. did not detect any changes in apparent diffusion coefficients in the aforementioned regions of the brain following three days of NO3− supplementation in older adults [50], despite the fact that a larger dose of NO3− was used than that employed in the Presley et al. study. With regard to this apparent disparity in outcomes, Kelly et al. have postulated that the participants in the Presley et al. study, who were on average 10 years older than those in the Kelly et al. study, may have been more responsive to dietary NO3−. The same rationale might explain the lack of observed effect in the present study, where the participants were—on average—eight years younger than those in the Presley et al. study. In normotensive and hypertensive subjects, the forearm vasodilatory response to acetylcholine measured by strain-gauge venous plethysmography was inversely associated with ageing [51].
Alternatively, the lack of effect on CBF observed in the present study may be explained by a potential reduction in NO formation with longer term NO3− supplementation. As noted, NO is synthesised via enzymatic (L-arginine–NOS pathway) and non-enzymatic (NO3−–NO2−–NO) pathways [13]. Long-term dietary NO3− supplementation in rats results in the reversible down-regulation of endothelial nitric oxide synthase activity, suggesting cross-talk between the two pathways [52]. We hypothesise that, after continuous NO3− intake for three months, as in the present study, the endogenous pathway was down-regulated. This hypothesis could be tested by quantifying whole-body NO production before and after long-term NO3− supplementation.
Findings from the present study provided no evidence that the 13-week ingestion of different doses of NO3− in the form of beetroot juice had any beneficial effect on cognitive function in our participants. The only statistically significant difference found was restricted to a single task outcome (delayed word recall), which most likely represents a chance finding. Gilchrist and co-authors were the first to report the beneficial effects of beetroot juice ingestion on cognitive performance, specifically in simple reaction time, in older adults with type-II diabetes following 14 days of beetroot juice consumption [53]. Justice et al. reported a 14% and 18% improvement in TMT-B following 10 weeks of consumption of 80 mg/d and 160 mg/d NO2− in older adults, respectively [28]. Although the present study was 11 weeks longer than the Gilchrist et al. study and three weeks longer than the Justice et al. study, no such beneficial effects were found with any of the cognitive outcomes. The lack of cognitive effects in the current study may be attributable to several factors, including a lack of effect on CBF, and is consistent with the findings from our earlier systematic review [27]. Nevertheless, the inclusion of interim assessments in any future chronic supplementation study would pick up on any earlier effects, if they exist.
A recent study found a positive association between CBF and executive function in a multi-ethnic older cohort [11]. However, improvement in CBF is not always associated with improvement in cognitive performance [38]. Because CBF was not measured, it is not known whether improved CBF mediated the improvements in cognitive function following NO3− supplementation in the Gilchrist et al. (2014) and Justice et al. (2015) studies. Furthermore, it is possible that health status influences the impact of NO3− supplementation on cognitive performance. The diabetic participants included in the Gilchrist et al. (2014) study had deficits in cognitive function compared with healthy participants, which may have amplified their sensitivity to cognitive testing. Although the participants in the present study were apparently healthy, they had a raised BMI, which is associated with impaired NO availability [31]. In addition, raised BMI is negatively correlated with global cognitive performance in long-term prospective cohort studies [54,55].

4.3. Strengths and Limitations of the Study

Few studies have tested the effect of dietary NO3− in older overweight/obese people, and most studies to date regarding that age group have featured short-duration intervention periods. The strength of the present study was the prolonged duration of the intervention; this is one of the longest RCTs that has investigated the effect of NO3− supplementation on CBF and cognitive function in older overweight and obese adults. Thus, this study contributes to the small but growing body of research on the effects of dietary NO3− supplementation on brain function. Further, the use of incremental doses of NO3− in the form of beetroot juice during such a period, with the low dose being consumed on alternate days during the study, gave the study a unique design feature. Our participants were asked to maintain their habitual dietary habits, physical activity, and medication throughout the study. Finally, the increase in concentrations of NO3− and NO2− biomarkers with increasing beetroot juice dose (as reported elsewhere [33]) provide assurance that the participants were compliant in consuming the beetroot juice supplements.
On the other hand, this study had limitations. The CBF assessment was conducted on a separate study day from other measurements due to the different location of the NIRS apparatus. However, participants were asked to follow similar instructions to the previous study day that included following a low-NO3− diet and avoiding alcohol and caffeine consumption for 24 h before the visit. The only significant difference was that participants were not required to fast before the CBF assessment. Participants were asked to have their low-NO3− lunch ~4 h before the assessment. In addition, due to limited access to the NIRS equipment (we had only less than one hour to collect the data), only a short period was available to collect NIRS data compared with other studies that have used similar equipment [25,39,56], which might be not sufficient to see CBF parameters alterations. Furthermore, during the data collection period, NIRS equipment stopped working for 2 weeks, which led to the loss of follow up data for three participants. The most important was that this study was designed primarily to test the feasibility and acceptability of the intervention in older adults and was not designed (or powered) to make definitive conclusions regarding the prolonged effect of NO3− on cognition and CBF.

5. Conclusions

These preliminary findings indicate no beneficial effects of NO3− supplementation on cognitive performance or CBF in older overweight and obese adults. The findings from this study will help to inform the design of future larger definitive trials to investigate the long-term effects of dietary NO3− supplementation on cognitive functions and CBF. Although this study was conducted on an apparently healthy at-risk population (i.e., older overweight and obese individuals), studies in those with mild cognitive impairment or hypertension may be more sensitive to the beneficial effects of prolonged beetroot juice consumption on cognitive function.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu14051052/s1, Table S1: A description of cognitive tasks used during the study; Table S2: Comparison of baseline characteristics of the participants who dropped out with those of the participants who completed the study. Table S3: Mean values for baseline and after 13 weeks intervention on cerebral blood flow measures assessed by qNIRS for different doses of nitrate; Figure S1: Mean of plasma NO3− (A) and NO2− (B) concentrations of incremental doses of dietary NO3− in form of BJ in older overweight and obese adults. HN (High NO3−; two 70 mL shots of BJ/day, morning and evening), MN (Medium NO3−; 70 mL of BJ/day), LN (Low NO3−; 70 mL of BJ every alternate days) and PL (placebo; 70 mL of NO3− depleted BJ). Each shot of BJ contains 400 mg of NO3−. p value is for comparison of the change between different study arms. Data are expressed as mean ± standard error of the mean (SEM) (n = 49).

Author Contributions

Conceptualization, A.M.B., M.S. and J.C.M.; methodology, A.M.B.; formal analysis, A.M.B., M.S. and J.C.M.; investigation, A.M.B.; resources, M.S. and J.C.M.; data curation, A.M.B., M.S. and J.C.M.; writing—original draft preparation, A.M.B.; writing—review and editing, J.C.M., G.M.O., M.S., O.M.S., D.O., E.W., D.K., E.S., E.O., W.F. and C.K.; visualization, A.M.B.; supervision, M.S., J.C.M. and G.M.O.; project administration, M.S. and J.C.M.; funding acquisition, M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Newcastle University core budget.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Faculty of Medical Sciences, Newcastle University (1503/4477/2018).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

We would like to thank the study participants and staff.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Deary, I.J.; Corley, J.; Gow, A.; Harris, S.E.; Houlihan, L.M.; Marioni, R.; Penke, L.; Rafnsson, S.B.; Starr, J.M. Age-associated cognitive decline. Br. Med. Bull. 2009, 92, 135–152. [Google Scholar] [CrossRef] [PubMed]
  2. Barzilai, N.; Huffman, D.M.; Muzumdar, R.H.; Bartke, A. The critical role of metabolic pathways in aging. Diabetes 2012, 61, 1315–1322. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Strait, J.B.; Lakatta, E.G. Aging-associated cardiovascular changes and their relationship to heart failure. Heart Fail. Clin. 2012, 8, 143–164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Reitz, C.; Luchsinger, A.J.; Mayeux, R. Vascular disease and cognitive impairment. Expert Rev. Neurother. 2008, 8, 1171–1174. [Google Scholar] [CrossRef] [Green Version]
  5. Leeuwis, A.E.; Benedictus, M.R.; Kuijer, J.P.; Binnewijzend, M.A.; Hooghiemstra, A.M.; Verfaillie, S.C.; Koene, T.; Scheltens, P.; Barkhof, F.; Prins, N.D.; et al. Lower cerebral blood flow is associated with impairment in multiple cognitive domains in Alzheimer’s disease. Alzheimer’s Dement. 2017, 13, 531–540. [Google Scholar] [CrossRef]
  6. Wolters, F.J.; de Bruijn, R.F.; Hofman, A.; Koudstaal, P.J.; Ikram, M.A. Cerebral vasoreactivity, apolipoprotein E, and the risk of dementia: A population-based study. Arterioscler. Thromb. Vasc. Biol. 2016, 36, 204–210. [Google Scholar] [CrossRef] [Green Version]
  7. Bangen, K.J.; Nation, D.A.; Clark, L.R.; Harmell, A.L.; Wierenga, C.E.; Dev, S.I.; Edelano-Wood, L.; Zlatar, Z.Z.; Salmon, D.P.; Liu, T.; et al. Interactive effects of vascular risk burden and advanced age on cerebral blood flow. Front. Aging Neurosci. 2014, 6, 159. [Google Scholar] [CrossRef] [Green Version]
  8. Wolters, F.J.; Ikram, M.A. Cerebral Perfusion and the Risk of Dementia: A Population-Based Study. Circulation 2017, 136, 719–728. [Google Scholar] [CrossRef] [Green Version]
  9. Mokhber, N.; Shariatzadeh, A.; Avan, A.; Saber, H.; Babaei, G.S.; Chaimowitz, G.; Azarpazhooh, M.R. Cerebral blood flow changes during aging process and in cognitive disorders: A review. Neuroradiol. J. 2021, 34, 300–307. [Google Scholar] [CrossRef]
  10. Ruitenberg, A.; den Heijer, T.; Bakker, S.L.; van Swieten, J.C.; Koudstaal, P.J.; Hofman, A.; Breteler, M.M. Cerebral hypoperfusion and clinical onset of dementia: The Rotterdam Study. Ann. Neurol. Off. J. Am. Neurol. Assoc. Child Neurol. Soc. 2005, 57, 789–794. [Google Scholar] [CrossRef]
  11. Leeuwis, A.E.; Smith, L.A.; Melbourne, A.; Hughes, A.; Richards, M.; Prins, N.D.; Sokolska, M.; Atkinson, D.; Tillin, T.; Jäger, H.R.; et al. Cerebral blood flow and cognitive functioning in a community-based, multi-ethnic cohort: The SABRE Study. Front. Aging Neurosci. 2018, 10, 279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Picón-Pagès, P.; Garcia-Buendia, J.; Muñoz, F.J. Functions and dysfunctions of nitric oxide in brain. Biochim. Biophys. Acta (BBA) Mol. Basis Dis. 2019, 1865, 1949–1967. [Google Scholar] [CrossRef] [PubMed]
  13. Weitzberg, E.; Lundberg, J.O. Novel Aspects of Dietary Nitrate and Human Health. Annu. Rev. Nutr. 2013, 33, 129–159. [Google Scholar] [CrossRef] [PubMed]
  14. Venturelli, M.; Pedrinolla, A.; Boscolo Galazzo, I.; Fonte, C.; Smania, N.; Tamburin, S.; Muti, E.; Crispoltoni, L.; Stabile, A.; Pistilli, A.; et al. Impact of Nitric Oxide Bioavailability on the Progressive Cerebral and Peripheral Circulatory Impairments During Aging and Alzheimer’s Disease. Front. Physiol. 2018, 9, 169. [Google Scholar] [CrossRef] [PubMed]
  15. Torregrossa, A.C.; Aranke, M.; Bryan, N.S. Nitric oxide and geriatrics: Implications in diagnostics and treatment of the elderly. J. Geriatr. Cardiol. JGC 2011, 8, 230. [Google Scholar]
  16. Seals, D.R.; Jablonski, K.L.; Donato, A.J. Aging and vascular endothelial function in humans. Clin. Sci. 2011, 120, 357–375. [Google Scholar] [CrossRef] [Green Version]
  17. Herrera, M.D.; Mingorance, C.; Rodriguez-Rodriguez, R.; Alvarez de Sotomayor, M. Endothelial dysfunction and aging: An update. Ageing Res. Rev. 2010, 9, 142–152. [Google Scholar] [CrossRef]
  18. Van Der Loo, B.; Labugger, R.; Skepper, J.N.; Bachschmid, M.M.; Kilo, J.; Powell, J.M.; Palacios-Callender, M.; Erusalimsky, J.; Quaschning, T.; Malinski, T.; et al. Enhanced Peroxynitrite Formation Is Associated with Vascular Aging. J. Exp. Med. 2000, 192, 1731–1744. [Google Scholar] [CrossRef] [Green Version]
  19. Torreilles, F.; Salman-Tabcheh, S.; Guérin, M.-C.; Torreilles, J. Neurodegenerative disorders: The role of peroxynitrite. Brain Res. Rev. 1999, 30, 153–163. [Google Scholar] [CrossRef]
  20. Gómez-Pinilla, F. Brain foods: The effects of nutrients on brain function. Nat. Rev. Neurosci. 2008, 9, 568–578. [Google Scholar] [CrossRef] [Green Version]
  21. Adan, R.A.; van der Beek, E.M.; Buitelaar, J.K.; Cryan, J.F.; Hebebrand, J.; Higgs, S.; Schellekens, H.; Dickson, S.L. Nutritional psychiatry: Towards improving mental health by what you eat. Eur. Neuropsychopharmacol. 2019, 29, 1321–1332. [Google Scholar] [CrossRef] [PubMed]
  22. Siervo, M.; Scialò, F.; Shannon, O.M.; Stephan, B.C.; Ashor, A.W. Does dietary nitrate say NO to cardiovascular ageing? Current evidence and implications for research. Proc. Nutr. Soc. 2018, 77, 112–123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Samieri, C.; Perier, M.-C.; Gaye, B.; Proust-Lima, C.; Helmer, C.; Dartigues, J.-F.; Berr, C.; Tzourio, C.; Empana, J.-P. Association of cardiovascular health level in older age with cognitive decline and incident dementia. JAMA 2018, 320, 657–664. [Google Scholar] [CrossRef] [PubMed]
  24. Joris, P.J.; Mensink, R.P.; Adam, T.C.; Liu, T.T. Cerebral blood flow measurements in adults: A review on the effects of dietary factors and exercise. Nutrients 2018, 10, 530. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Wightman, E.L.; Haskell-Ramsay, C.F.; Thompson, K.; Blackwell, J.R.; Winyard, P.; Forster, J.; Jones, A.M.; Kennedy, D.O. Dietary nitrate modulates cerebral blood flow parameters and cognitive performance in humans: A double-blind, placebo-controlled, crossover investigation. Physiol. Behav. 2015, 149, 149–158. [Google Scholar] [PubMed] [Green Version]
  26. Presley, T.D.; Morgan, A.R.; Bechtold, E.; Clodfelter, W.; Dove, R.W.; Jennings, J.M.; Kraft, R.A.; King, S.B.; Laurienti, P.J.; Rejeski, W.J.; et al. Acute effect of a high nitrate diet on brain perfusion in older adults. Nitric Oxide 2011, 24, 34–42. [Google Scholar]
  27. Clifford, T.; Babateen, A.; Shannon, O.M.; Capper, T.; Ashor, A.; Stephan, B.; Robinson, L.; O’Hara, J.P.; Mathers, J.C.; Stevenson, E.; et al. Effects of inorganic nitrate and nitrite consumption on cognitive function and cerebral blood flow: A systematic review and meta-analysis of randomised clinical trials. Crit. Rev. Food Sci. Nutr. 2019, 59, 2400–2410. [Google Scholar] [CrossRef]
  28. Justice, J.N.; Johnson, L.C.; DeVan, A.; Cruickshank-Quinn, C.; Reisdorph, N.; Bassett, C.J.; Evans, T.D.; Brooks, F.A.; Bryan, N.S.; Chonchol, M.B.; et al. Improved motor and cognitive performance with sodium nitrite supplementation is related to small metabolite signatures: A pilot trial in middle-aged and older adults. Aging 2015, 7, 1004. [Google Scholar] [CrossRef] [Green Version]
  29. Aliahmadi, M.; Amiri, F.; Bahrami, L.S.; Hosseini, A.F.; Abiri, B.; Vafa, M. Effects of raw red beetroot consumption on metabolic markers and cognitive function in type 2 diabetes patients. J. Diabetes Metab. Disord. 2021, 20, 673–682. [Google Scholar] [CrossRef]
  30. Williams, I.; Wheatcroft, S.; Shah, A.; Kearney, M. Obesity, atherosclerosis and the vascular endothelium: Mechanisms of reduced nitric oxide bioavailability in obese humans. Int. J. Obes. 2002, 26, 754–764. [Google Scholar] [CrossRef] [Green Version]
  31. Toda, N.; Okamura, T. Obesity impairs vasodilatation and blood flow increase mediated by endothelial nitric oxide: An overview. J. Clin. Pharmacol. 2013, 53, 1228–1239. [Google Scholar] [CrossRef] [PubMed]
  32. Babateen, A.M.; Rubele, S.; Shannon, O.; Okello, E.; Smith, E.; McMahon, N.; O’Brien, G.; Wightman, E.; Kennedy, D.; Mathers, J.C.; et al. Protocol and recruitment results from a 13-week randomized controlled trial comparing the effects of different doses of nitrate-rich beetroot juice on cognition, cerebral blood flow and peripheral vascular function in overweight and obese older people. Contemp. Clin. Trials Commun. 2020, 18, 100571. [Google Scholar] [CrossRef]
  33. Babateen, A.; Shannon, O.; O’Brien, G.; Okello, E.; Khan, A.; Rubele, S.; Wightman, E.; Smith, E.; McMahon, N.; Olgacer, D.; et al. Acceptability and Feasibility of a 13-Week Pilot Randomised Controlled Trial Testing the Effects of Incremental Doses of Beetroot Juice in Overweight and Obese Older Adults. Nutrients 2021, 13, 769. [Google Scholar] [CrossRef] [PubMed]
  34. Bescos, R.; Ashworth, A.; Cutler, C.; Brookes, Z.L.; Belfield, L.; Rodiles, A.; Casas-Agustench, P.; Farnham, G.; Liddle, L.; Burleigh, M.; et al. Effects of Chlorhexidine mouthwash on the oral microbiome. Sci. Rep. 2020, 10, 14336. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Bell, L.; Lamport, D.J.; Field, D.T.; Butler, L.T.; Williams, C.M. Practice effects in nutrition intervention studies with repeated cognitive testing. Nutr. Healthy Aging 2018, 4, 309–322. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Goldberg, T.E.; Harvey, P.D.; Wesnes, K.; Snyder, P.; Schneider, L.S. Practice effects due to serial cognitive assessment: Implications for preclinical Alzheimer’s disease randomized controlled trials. Alzheimer’s Dement. Diagn. Assess. Dis. Monit. 2015, 1, 103–111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Haskell, C.F.; Robertson, B.; Jones, E.; Forster, J.; Jones, R.; Wilde, A.; Maggini, S.; Kennedy, D.O. Effects of a multi-vitamin/mineral supplement on cognitive function and fatigue during extended multi-tasking. Hum. Psychopharmacol. Clin. Exp. 2010, 25, 448–461. [Google Scholar] [CrossRef]
  38. Kennedy, D.O.; Wightman, E.L.; Reay, J.L.; Lietz, G.; Okello, E.J.; Wilde, A.; Haskell, C.F. Effects of resveratrol on cerebral blood flow variables and cognitive performance in humans: A double-blind, placebo-controlled, crossover investigation. Am. J. Clin. Nutr. 2010, 91, 1590–1597. [Google Scholar] [CrossRef]
  39. Wightman, E.L.; Jackson, P.A.; Khan, J.; Forster, J.; Heiner, F.; Feistel, B.; Suarez, C.G.; Pischel, I.; Kennedy, D.O. The Acute and Chronic Cognitive and Cerebral Blood Flow Effects of a Sideritis scardica (Greek Mountain Tea) Extract: A Double Blind, Randomized, Placebo Controlled, Parallel Groups Study in Healthy Humans. Nutrients 2018, 10, 955. [Google Scholar] [CrossRef] [Green Version]
  40. Jackson, P.A.; Kennedy, D.O. The application of near infrared spectroscopy in nutritional intervention studies. Front. Hum. Neurosci. 2013, 7, 473. [Google Scholar] [CrossRef] [Green Version]
  41. Kazui, H.; Kitagaki, H.; Mori, E. Cortical activation during retrieval of arithmetical facts and actual calculation: A functional magnetic resonance imaging study. Psychiatry Clin. Neurosci. 2000, 54, 479–485. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Grandjean, J.; D’Ostilio, K.; Phillips, C.; Balteau, E.; Degueldre, C.; Luxen, A.; Maquet, P.; Salmon, E.; Collette, F. Modulation of brain activity during a Stroop inhibitory task by the kind of cognitive control required. PLoS ONE 2012, 7, e41513. [Google Scholar]
  43. Ruocco, A.C.; Rodrigo, A.H.; Lam, J.; Di Domenico, S.I.; Graves, B.; Ayaz, H. A problem-solving task specialized for functional neuroimaging: Validation of the Scarborough adaptation of the Tower of London (S-TOL) using near-infrared spectroscopy. Front. Hum. Neurosci. 2014, 8, 185. [Google Scholar] [CrossRef] [Green Version]
  44. Whitehead, A.L.; Julious, S.A.; Cooper, C.L.; Campbell, M.J. Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable. Stat. Methods Med. Res. 2016, 25, 1057–1073. [Google Scholar] [CrossRef] [PubMed]
  45. Dormanns, K.; Brown, R.; David, T. The role of nitric oxide in neurovascular coupling. J. Theor. Biol. 2016, 394, 1–17. [Google Scholar] [CrossRef] [PubMed]
  46. Toda, N.; Ayajiki, K.; Okamura, T. Cerebral blood flow regulation by nitric oxide in neurological disorders. Can. J. Physiol. Pharmacol. 2009, 87, 581–594. [Google Scholar] [CrossRef]
  47. Bor-Seng-Shu, E.; Kita, W.S.; Figueiredo, E.G.; Paiva, W.; Fonoff, E.T.; Teixeira, M.J.; Panerai, R.B. Cerebral hemodynamics: Concepts of clinical importance. Arq. Neuro-Psiquiatr. 2012, 70, 352–356. [Google Scholar] [CrossRef]
  48. Korte, N.; Nortley, R.; Attwell, D. Cerebral blood flow decrease as an early pathological mechanism in Alzheimer’s disease. Acta Neuropathol. 2020, 140, 793–810. [Google Scholar]
  49. Bangen, K.J.; Werhane, M.L.; Weigand, A.J.; Edmonds, E.C.; Delano-Wood, L.; Thomas, K.; Nation, D.A.; Evangelista, N.D.; Clark, A.L.; Liu, T.T.; et al. Reduced regional cerebral blood flow relates to poorer cognition in older adults with type 2 diabetes. Front. Aging Neurosci. 2018, 10, 270. [Google Scholar] [CrossRef] [Green Version]
  50. Kelly, J.; Fulford, J.; Vanhatalo, A.; Blackwell, J.R.; French, O.; Bailey, S.J.; Gilchrist, M.; Winyard, P.G.; Jones, A.M. Effects of short-term dietary nitrate supplementation on blood pressure, O2 uptake kinetics, and muscle and cognitive function in older adults. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2013, 304, R73–R83. [Google Scholar] [CrossRef] [Green Version]
  51. Taddei, S.; Virdis, A.; Ghiadoni, L.; Salvetti, G.; Bernini, G.; Magagna, A.; Salvetti, A. Age-related reduction of NO availability and oxidative stress in humans. Hypertension 2001, 38, 274–279. [Google Scholar] [CrossRef] [PubMed]
  52. Carlström, M.; Liu, M.; Yang, T.; Zollbrecht, C.; Huang, L.; Peleli, M.; Borniquel, S.; Kishikawa, H.; Hezel, M.; Persson, A.E.G.; et al. Cross-talk between nitrate-nitrite-NO and NO synthase pathways in control of vascular NO homeostasis. Antioxid. Redox Signal. 2015, 23, 295–306. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Gilchrist, M.; Winyard, P.G.; Fulford, J.; Anning, C.; Shore, A.C.; Benjamin, N. Dietary nitrate supplementation improves reaction time in type 2 diabetes: Development and application of a novel nitrate-depleted beetroot juice placebo. Nitric Oxide 2015, 40, 67–74. [Google Scholar] [CrossRef] [PubMed]
  54. Hassing, L.B.; Dahl, A.K.; Pedersen, N.L.; Johansson, B. Overweight in midlife is related to lower cognitive function 30 years later: A prospective study with longitudinal assessments. Dement. Geriatr. Cogn. Disord. 2010, 29, 543–552. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Elias, M.F.; Elias, P.K.; Sullivan, L.M.; Wolf, P.A.; D’Agostino, R.B. Obesity, diabetes and cognitive deficit: The Framingham Heart Study. Neurobiol. Aging 2005, 26, 11–16. [Google Scholar] [CrossRef]
  56. Wightman, E.L.; Haskell-Ramsay, C.F.; Reay, J.L.; Williamson, G.; Dew, T.; Zhang, W.; Kennedy, D.O. The effects of chronic trans-resveratrol supplementation on aspects of cognitive function, mood, sleep, health and cerebral blood flow in healthy, young humans. Br. J. Nutr. 2015, 114, 1427–1437. [Google Scholar] [CrossRef] [Green Version]
Nutrients 14 01052 g001 550
Figure 1. Cognitive task battery.
Figure 1. Cognitive task battery.
Nutrients 14 01052 g001
Nutrients 14 01052 g002 550
Figure 2. Protocol of the near-infrared spectroscopy (NIRS) assessment; 3S: serial subtraction 3, 7S: serial subtraction 7, P&B: peg and ball. * Stroop and peg and ball are not based on a fixed time, so the data were extracted based on the least time recorded by a participant.
Figure 2. Protocol of the near-infrared spectroscopy (NIRS) assessment; 3S: serial subtraction 3, 7S: serial subtraction 7, P&B: peg and ball. * Stroop and peg and ball are not based on a fixed time, so the data were extracted based on the least time recorded by a participant.
Nutrients 14 01052 g002
Nutrients 14 01052 g003 550
Figure 3. Prolonged effect of incremental doses of supplemental NO3− in form of beetroot juice on cerebral oxygen saturation (A), total haemoglobin (B), oxyhaemoglobin (C), and deoxyhaemoglobin (D). HN, high nitrate; MN, medium nitrate; LN, low nitrate; PL, placebo. No significant differences between groups were found for any of the cerebral blood flow (CBF)-related parameters (p > 0.05). HN (high NO3−; two 70 mL shots of beetroot juice/day, morning and evening), MN (medium NO3−; 70 mL of beetroot juice/day), LN (low NO3−; 70 mL of beetroot juice every alternate days), and PL (placebo; 70 mL of NO3−-depleted beetroot juice every alternate days). Each shot of beetroot juice contains 400 mg of NO3−. Data represent the change of CBF parameters recorded when performing cognitive tasks at 13 weeks from the resting period at baseline and were analysed using a one-way ANOVA. Data are expressed as mean ± SEM, (n = 47).
Figure 3. Prolonged effect of incremental doses of supplemental NO3− in form of beetroot juice on cerebral oxygen saturation (A), total haemoglobin (B), oxyhaemoglobin (C), and deoxyhaemoglobin (D). HN, high nitrate; MN, medium nitrate; LN, low nitrate; PL, placebo. No significant differences between groups were found for any of the cerebral blood flow (CBF)-related parameters (p > 0.05). HN (high NO3−; two 70 mL shots of beetroot juice/day, morning and evening), MN (medium NO3−; 70 mL of beetroot juice/day), LN (low NO3−; 70 mL of beetroot juice every alternate days), and PL (placebo; 70 mL of NO3−-depleted beetroot juice every alternate days). Each shot of beetroot juice contains 400 mg of NO3−. Data represent the change of CBF parameters recorded when performing cognitive tasks at 13 weeks from the resting period at baseline and were analysed using a one-way ANOVA. Data are expressed as mean ± SEM, (n = 47).
Nutrients 14 01052 g003
Table
Table 1. Baseline characteristics of the study participants [33].
Table 1. Baseline characteristics of the study participants [33].
CharacteristicsAllHNMNLNPL
Number6216171415
Gender, M/F24/3810/65/124/105/10
Age (years)66.3 ± 3.764.7 ± 3.566.7 ± 4.267.3 ± 2.765.7 ± 3.9
Education (years)15.3 ± 3.016.0± 315.7± 2.615.0 ± 3.114.6 ± 3.1
Body weight (kg)84.9 ± 12.690.9 ± 13.484.6 ± 10.580.1 ± 12.583.9 ± 12.6
BMI (kg/m2)30.3 ± 3.730.5 ± 3.630.5 ± 3.229.9 ± 3.430.3 ± 4.8
WC (cm)102.4 ± 9.2104.5 ± 10.3100.6 ± 9.6102.1 ± 8.9102.6 ± 8.2
FM (kg)32.4 ± 8.732.1 ± 8.734.5 ± 9.031.3 ± 7.231.5± 10.0
FFM (%)37.8 ± 7.835.2 ± 8.239.2 ± 7.839.3 ± 6.637.1 ± 8.1
TBW (kg)38.6 ± 6.341.3 ± 7.438.6 ± 4.535.6 ± 6.338.8 ± 5.9
SBP (mm Hg)135.1 ± 14.7130.8 ± 12.0136.1 ± 10.4139.5 ± 13.2134.1 ± 12.9
DBP (mm Hg)76.9 ± 9.475.8 ± 9.777.3 ± 9.177.8 ± 8.176.9 ± 11.2
PA (METs/wk)3667 ± 56042741 ± 15223257 ± 18452262 ± 19336280 ± 10,512
M/F, male/female; BMI, body mass index; WC, waist circumference; FM, fat mass; FFM, fat-free mass; SBP, systolic blood pressure; DBP, diastolic blood pressure; PA, physical activity. Data are expressed as mean ± SD. p values are based on one-way ANOVA, except for gender, which was based on Chi square test. HN, high nitrate; MN, medium nitrate; LN, low nitrate; PL, placebo.
Table
Table 2. Mean values for baseline and for change from baseline after 13 weeks of intervention on individual cognitive tasks for different doses of nitrate.
Table 2. Mean values for baseline and for change from baseline after 13 weeks of intervention on individual cognitive tasks for different doses of nitrate.
MeasureHigh NO3− (n = 10)Medium NO3− (n = 13)Low NO3− (n = 14)Placebo (n = 13)p Value
Baseline13 Weeks
(Change)		Baseline13 Weeks
(Change)		Baseline13 Weeks
(Change)		Baseline13 Weeks
(Change)
IWR correct (number)5.4 ± 0.40.05 ± 0.56.5 ± 0.40.2 ± 0.35.6 ± 0.5−0.07 ± 0.46.8 ± 0.5−0.7 ± 0.60.45
IWR error (number)0.2 ± 0.20.00.4 ± 0.20.1 ± 0.20.6 ± 0.20.01 ± 0.10.3 ± 0.2−0.1 ± 0.10.83
NWM (% accuracy)98.0 ± 0.3−0.23 ± 1.593.8 ± 1.71.2 ± 0.796.5 ± 1.4−1.3 ± 1.691.1 ± 3.41.3 ± 1.40.61
NWM-RT (ms)1126 ± 813 ± 371288 ± 179−185 ± 1431087 ± 7763 ± 611091 ± 48−78 ± 460.76
CRT (% accuracy)98.4 ± 0.5−0.6 ± 0.698.0 ± 0.50.8 ± 0.698.7 ± 0.5−0.1 ± 0.498.8 ± 0.5−0.6 ± 0.50.49
CRT RT (ms)570 ± 37−18 ± 21622 ± 30−31 ± 27641 ± 46−4 ± 0.5603 ± 27−6 ± 210.21
Stroop % accuracy *99.3 ± 0.40.29 ± 0.398.8 ± 0.86.5 ± 7.199.9 ± 0.1−0.2 ± 0.299.8 ± 0.1−1.9 ± 100.79
Stroop RT (ms) *1304 ± 28−45 ± 481434 ± 70128 ± 1951523 ± 174−40 ± 741261 ± 3851 ± 1590.78
DV (% accuracy)96.5 ± 1.4−2.5 ± 1.790.4 ± 2.2−7.2 ± 7.986.1 ± 3.73.8 ± 2.384.8 ± 4.6−0.89 ± 2.00.49
DV RT (ms)483 ± 11−2.8 ± 7.7469 ± 10−41.5 ± 38512 ± 1133 ± 40498 ± 8−0.03 ± 40.36
DV false alarms (number)1.3 ± 0.30.7 ± 1.04.2 ± 0.7−0.3 ± 1.05.7 ± 1.10.2 ± 0.85.6 ± 1.2−0.4 ± 0.80.79
Corsi blocks span5.6 ± 0.10.1 ± 0.15.4 ± 0.20.1 ± 0.25.2 ± 0.40.3 ± 0.35.4 ± 0.3−0.3 ± 0.40.29
P&B thinking time4106 ± 582−367 ± 3495221 ± 429−1066 ± 3824600 ± 317−695 ± 2635092 ± 541−653 ± 3450.46
P&B working time (ms)11,640 ± 747−974 ± 46014,311 ± 980−2325 ± 89314,186 ± 1675−1882 ± 14412,624 ± 729−963 ± 6410.59
P&B errors3.7 ± 2.50.8 ± 1.52.2 ± 1.9−0.2 ± 0.84.2 ± 4.6−1.3 ± 1.63.3 ± 3.3−2.3 ± 1.10.48
DWR correct (number)3.8 ± 0.50.3 ± 0.55.3 ± 0.4−0.8 ± 0.33.5 ± 0.50.8 ± 0.35.0 ± 0.5−0.1 ± 0.60.03
DWR error (number)0.6 ± 0.20.4 ± 0.20.8 ± 0.20.4 ± 0.10.6 ± 0.20.1 ± 0.10.6 ± 0.20.1 ± 0.30.65
WR (%accuracy)77.0 ± 7.9−1.3 ± 4.379.4 ± 8.10.7 ± 2.278.6 ± 12.7−0.7 ± 3.682.4 ± 7.8−2.2 ± 2.70.77
WR RT (ms)1277 ± 187−14 ± 1031085 ± 19117 ± 391226 ± 3166.1 ± 521287 ± 48065 ± 480.39
TMT-a (s)24.1 ± 1.7−2.4 ± 1.528.1 ± 1.8−2.5 ± 2.228.5 ± 2.7−0.1 ± 1.824.6 ± 1.5−1.2 ± 1.30.75
TMT-b (s)52.1 ± 3.6−8.1 ± 3.052.2 ± 4.22.2 ± 4.956.3 ± 5.5−7.1 ± 2.455.0 ± 4.5−9.7 ± 3.90.11
Data are presented as means ± SEM. Data were analysed using one-way ANOVA. p value is for comparison of the change in score between different study arms. * Due to non-compliance with the task instructions, data of some participants were removed. HN: high NO3− (baseline: n = 13, 13 weeks: n = 9), MN: medium NO3− (baseline: n = 15, 13 weeks: n = 11), LN: low NO3− (baseline: n = 13, 13 weeks: n = 13), PL: placebo (baseline: n = 14, 13 weeks: n = 11). IWR: immediate word recall, NWM: numeric working memory, CRT: choice reaction time, DV: digit vigilance, P&B: peg and ball, DWR: delayed word recall, WR: word recognition, RT: reaction time.
Table
Table 3. Mean values for baseline and for change from baseline after 13 weeks of intervention on global cognitive measures for different doses of nitrate.
Table 3. Mean values for baseline and for change from baseline after 13 weeks of intervention on global cognitive measures for different doses of nitrate.
MeasureHigh NO3− (n = 10)Medium NO3− (n = 13)Low NO3− (n = 14)Placebo (n = 13)p Value
Baseline13-Weeks
(Change)		Baseline13-Weeks
(Change)		Baseline13-Weeks
(Change)		Baseline13-Weeks
(Change)
Accuracy of attention (%)96.6 ± 0.8−1.8 ± 0.893.2 ± 1.3−2.2 ± 2.394.2 ± 1.4−0.8 ± 1.091.7 ± 2.27.2 ± 7.20.88
Speed of attention (msec)735 ± 36−6.1 ± 13.5788 ± 54−95.7 ± 52.3763 ± 3717.9 ± 21.3742 ± 2132 ± 62.80.16
Accuracy of working memory (%)96.3 ± 1.7−0.2 ± 1.591.6 ± 2.81.2 ± 0.796.4 ± 1.2−1.3 ± 1.791.3 ± 3.28.0 ± 6.80.49
Accuracy of episodic memory (%)45.2 ± 1.90.7 ± 3.152.0 ± 2.1−1.2 ± 1.846.3 ± 2.51.4 ± 1.354.8 ± 2.92.5 ± 6.10.42
Speed of memory (msec)1205 ± 51−5.6 ± 44.31186 ± 72−83.7 ± 67.21155 ± 6634.7 ± 32.11214 ± 7688.2 ± 97.50.37
Overall speed (msec)947 ± 25−15.8 ± 15.2969 ± 37−42.3 ± 40.6997 ± 572.5 ± 25.1954 ± 3576.3 ± 73.10.77
Overall accuracy (%)74.6 ± 1.20.7 ± 1.675.7 ± 1.3−1.1 ± 1.673.9 ± 1.40.2 ± 0.676.9 ± 1.54.8 ± 6.60.53
Data are presented as means ± SEM. Data were analysed using one-way ANOVA. p value is for comparison of the change in score between different study arms.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Babateen, A.M.; Shannon, O.M.; O’Brien, G.M.; Okello, E.; Smith, E.; Olgacer, D.; Koehl, C.; Fostier, W.; Wightman, E.; Kennedy, D.; et al. Incremental Doses of Nitrate-Rich Beetroot Juice Do Not Modify Cognitive Function and Cerebral Blood Flow in Overweight and Obese Older Adults: A 13-Week Pilot Randomised Clinical Trial. Nutrients 2022, 14, 1052. https://doi.org/10.3390/nu14051052

AMA Style

Babateen AM, Shannon OM, O’Brien GM, Okello E, Smith E, Olgacer D, Koehl C, Fostier W, Wightman E, Kennedy D, et al. Incremental Doses of Nitrate-Rich Beetroot Juice Do Not Modify Cognitive Function and Cerebral Blood Flow in Overweight and Obese Older Adults: A 13-Week Pilot Randomised Clinical Trial. Nutrients. 2022; 14(5):1052. https://doi.org/10.3390/nu14051052

Chicago/Turabian Style

Babateen, Abrar M., Oliver M. Shannon, Gerard M. O’Brien, Edward Okello, Ellen Smith, Dilara Olgacer, Christina Koehl, William Fostier, Emma Wightman, David Kennedy, and et al. 2022. "Incremental Doses of Nitrate-Rich Beetroot Juice Do Not Modify Cognitive Function and Cerebral Blood Flow in Overweight and Obese Older Adults: A 13-Week Pilot Randomised Clinical Trial" Nutrients 14, no. 5: 1052. https://doi.org/10.3390/nu14051052

APA Style

Babateen, A. M., Shannon, O. M., O’Brien, G. M., Okello, E., Smith, E., Olgacer, D., Koehl, C., Fostier, W., Wightman, E., Kennedy, D., Mathers, J. C., & Siervo, M. (2022). Incremental Doses of Nitrate-Rich Beetroot Juice Do Not Modify Cognitive Function and Cerebral Blood Flow in Overweight and Obese Older Adults: A 13-Week Pilot Randomised Clinical Trial. Nutrients, 14(5), 1052. https://doi.org/10.3390/nu14051052

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop