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Abstract
Age-related cerebromicrovascular endothelial dysfunction underlies the initiation and progression of cognitive dysfunction and dementia, thus increasing the susceptibility of older adults to such conditions. Normal brain function requires dynamic adjustment of cerebral blood flow to meet the energetic demands of active neurons, which is achieved the homeostatic mechanism neurovascular coupling (NVC). In this context, therapeutical strategies aimed at rescuing or preserving NVC responses can delay the incidence or mitigate the severity of age-related cognitive dysfunction, and time-restricted eating (TRE) is a potential candidate for such a strategy. Studies have reported that TRE can improve cardiometabolic risk factors in older adults. However, the effect of TRE on cerebrovascular endothelial function remains unexplored. Thus, this protocol outlines the study procedures to test our hypothesis that a 6-month TRE regimen of 10-h eating window will improve NVC responses and endothelial function in community-dwelling older adults. This is a single-arm, open-label interventional trial. We aim to recruit 32 adults aged 55–80 years. Participants are instructed to maintain a TRE regimen of 10 h of free eating followed by 14 h of fasting for 6 months. Before and after fasting, participants are assessed for cognitive performance, peripheral micro- and macrovascular endothelial function, and NVC responses, as well as for several confounding factors, including body composition, dietary, and physical activity data. We expect that 6 months of TRE will improve NVC response and endothelial function in older adults compared with baseline, and that these improvements will be accompanied by improvements in cognitive performance. The study proposed herein will provide critical insight into a new potential therapeutical strategy for targeting age-related cognitive dysfunction. Ultimately, slowing down or alleviating cognitive decline will translate into improved quality of life and longer healthspan for aging adults. This study was prospectively registered at ClinicalTrials.gov (NCT06019195) on August 24, 2023.
Citation: da C. Pinaffi-Langley AC, Szarvas Z, Peterfi A, Kaposzta Z, Mukli P, Shahriari A, et al. (2024) Time-restricted eating for prevention of age-related vascular cognitive decline in older adults: A protocol for a single-arm open-label interventional trial. PLoS ONE 19(12): e0314871. https://doi.org/10.1371/journal.pone.0314871
Editor: Steve Zimmerman, Public Library of Science, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
Received: October 14, 2024; Accepted: October 21, 2024; Published: December 9, 2024
Copyright: © 2024 da C. Pinaffi-Langley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: No datasets were generated or analysed during the current study. All relevant data from this study will be made available upon study completion.
Funding: Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under Award Number R21AG080775, and by the American Heart Association under Award Number 24DIVSUP1282484. This research was also supported by the Oklahoma Shared Clinical and Translational Resources (U54GM104938) with an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences (NIGMS). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in the conceptualization, design, decision to publish, or preparation of the manuscript.
Competing interests: The authors declare that they have no competing interests.
Introduction
Recent reports estimate 10% of US adults aged 65 years and older have dementia [1, 2], which corresponds to about 7 million people. This proportion is expected to increase as the population becomes older [3], representing a significant public health challenge. Age-related endothelial dysfunction contributes to the development and progression of cognitive impairment and dementia [4–6], thus increasing the susceptibility of older adults to such diseases. In particular, cerebromicrovascular endothelial dysfunction is associated with impaired cerebral blood flow, which in turn is associated with cognitive decline [7–10]. Normal brain function requires moment-to-moment adjustment of cerebral blood flow to meet the energetic demands of active neurons [11–13]. This requirement is achieved by neurovascular coupling (NVC), a homeostatic mechanism that contributes to an optimal cerebral tissue microenvironment. In this context, therapeutical strategies aimed at rescuing age-related cerebromicrovascular endothelial function can delay the incidence or slow the progression of cognitive impairment in older adults.
Dietary modifications are accessible non-pharmacological therapeutical strategies commonly prescribed in clinical settings. Among these, time-restricted eating (TRE) has garnered special attention due to its increased feasibility and acceptability compared with other common dietary interventions such as continuous caloric restriction. TRE regimens divide the day into eating (4–10 h) and fasting (20–14 h) periods; during eating periods, one can consume their total daily energy needs without restriction. To date, few studies on TRE in older adults (>50 years of age) have been published [14–21]. These studies consistently reported decreases in body weight and visceral fat mass, and improvements in glucose homeostasis. They also report good safety and tolerability for this type of intervention in older adults. However, studies published thus far were short, lasting between 3 to 12 weeks. Further, most studies have not conducted nutritional assessments during the intervention, which is a major confounding factor in TRE studies. In this way, the effect of long-term TRE on cerebrovascular function and cognitive performance in older adults remains unexplored. Herein, we describe the protocol of a study on TRE in older adults according to SPIRIT reporting guidelines [22] (S1 File).
Aims and objectives
The main aim of this study is to determine the effect of a 6-month TRE regimen on cerebrovascular function, cognitive performance, and peripheral endothelial function in community-dwelling older adults. Thus, the study objectives are the following:
- Determine whether adhering to 6 months of TRE improves neurovascular coupling responses in older adults
- Determine whether adhering to 6 months of TRE improves micro- and macrovascular endothelial function in older adults
- Determine whether adhering to 6 months of TRE improves crystallized and fluid cognitive performance in older adults
Materials and methods
Trial design and status
This study is a single-arm, open-label interventional trial. This study opened for enrollment on on April 9, 2024. We expect to reach target enrollment by February 2025.
Study setting
This is a single center study primarily set in the Translational Geroscience Laboratory at the University of Oklahoma Health Sciences (Oklahoma City, OK). Collaborating sites are the Oklahoma Clinical and Translational Science Institute (Oklahoma City, OK) and the Laureate Institute for Brain Research (Tulsa, OK). All recruitment and enrollment occur at the Translational Geroscience Laboratory. Collaborating sites perform additional assessments only.
Participants
Ethical considerations.
This study protocol was reviewed and approved by the University of Oklahoma Health Sciences Institutional Review Board (#16102) on July 12, 2023.
Eligibility criteria.
Participants are considered eligible if they meet all the inclusion criteria and do not meet any of the exclusion criteria. The inclusion criteria are as follows: (1) age between 55 and 80 years, inclusive; (2) adequate hearing and visual acuity to participate in the assessments; (3) ability to read and write in English; (4) competence to provide written informed consent; (5) Mini Montreal Cognitive Assessment score equal or greater than 12; and (6) Mini Nutritional Assessment score equal or greater than 12.
The exclusion criteria are the following: (1) active central nervous system disease (e.g., multiple sclerosis, uncontrolled seizures, active brain cancer); (2) cerebrovascular accident other than transient ischemic attack in the preceding 2 months; (3) major uncontrolled or unmedicated psychiatric disease; (4) current alcohol or drug abuse; (5) diabetes diagnosis with prescription of sulfonylureas, meglitinides, and/or insulin; (6) any other condition that, in the opinion of the investigator, would render the participant ineligible for the study.
Sample size estimation.
Our primary endpoint is change in neurovascular coupling response in older adults comparing baseline and endpoint. We estimated the effect size for sample size calculation using preliminary data acquired with our pilot study on TRE (10 h free eating, 14 h fasting) in adults aged 55 years and older (N = 6). Regression coefficients (β values) were estimated for channels in the prefrontal and dorsolateral cortexes (see Statistical methods section for details). The mean difference between endpoint and baseline was 7.4 with a standard deviation of 13.1, representing an effect size of 0.56. At 80% power and 5% significance level, we calculated that we would need 27 participants to detect a similar effect size. Considering a dropout rate of 20%, the final sample size is 32 participants. We will conduct both intention-to-treat and per-protocol analyses.
Recruitment and enrollment.
Participants are recruited using advertisements and partnerships. We use different types of advertisement to reach potential participants, such as electronic/virtual (e-mail blasts, social media), traditional media (local newspapers and magazines), and print media (flyers). Recruitment is also performed using an internal participant pool and partnerships with the Oklahoma Clinical and Translational Sciences Institute and the Section of Geriatric Medicine. This diverse recruitment strategy was devised to ensure an adequate number of participants for reaching the target sample size. Based on past enrollment rates, we estimate that we will need to screen at least 107 potential participants to achieve the target sample size. Eligible participants are considered enrolled in the study after they provide written informed consent. Only trained staff active in the IRB protocol obtain written informed consent. Consenting occurs in person and is conducted following institutional and ethical regulations. Fig 1 details the recruitment and enrollment process, including the scenarios for exclusion and/or screen fail.
Intervention
The intervention is a time-restricted eating regimen that divides the day into 10 h of free eating and 14 h of fasting. Participants are instructed to maintain their usual dietary habits during the free eating period and to avoid skipping meals. Instead, they are instructed to compress their eating schedule into the 10 h of free eating to minimize concurrent caloric restriction. During the fasting period, participants are instructed to only consume water, unsweetened tea, or unsweetened coffee. The fasting period is self-selected so participants can choose what best fits their schedule and lifestyle. We believe that self-selection of the fasting period will increase retention and adherence, and that it represents a more generalizable approach to intermittent fasting studies. The intervention will last 26±2 weeks.
Adherence and monitoring.
At the end of the first study visit, participants receive a fasting diary and are instructed to record the times of their first and last meal each day starting the following day. They are instructed to record these times even if they ate for more than 10 h or fasted for less than 14 h in any given day, and to return the complete diaries on their final study visit. These diaries will be used to estimate overall adherence to the time-restricted eating regimen.
Based on our previous experience with the pilot study and the literature on long-term dietary interventions [23], we expect that study retention will be a major challenge. To promote retention and minimize drop out or loss to follow up, we implemented a follow-up schedule for contacting active study participants every 2 weeks. During follow-up calls, participants are asked about any changes in health status and occurrence of adverse events, their fasting experience, and whether they have any questions or concerns regarding their study participation. If the participant expresses that the frequency of the contact is too high, it will be scaled back to once a month.
Study outcomes
All outcomes are be assessed by trained study staff and research technicians.
Primary outcomes.
The primary outcome of interest for this study is change from baseline in NVC response measured with functional near-infrared spectroscopy (fNIRS) during cognitive stimulation. Although the clinical meaning of NVC response is undetermined, NVC responses are positively correlated with cognitive performance in humans [24]. Thus, we expect that adhering to the intervention will increase NVC responses compared with baseline.
Secondary and exploratory outcomes.
Secondary and exploratory outcomes for this study are described in Table 1. These outcomes include measures of micro- and macrovascular endothelial function, cognitive performance, functional connectivity, systemic inflammation and oxidative stress, and body composition.
Confounding variables.
In addition to the outcomes described above, we will also collect data on several confounding variables that may affect the measured outcomes. These confounding variables will be used in statistical analyses to normalize data and adjust models, as appropriate (see Statistical methods section for further details). Table 2 presents a summary of confounding variables along with their method and time of assessment.
Data collection methods
Assessments described in the following subsections are repeated in Visits 1 and 2 unless otherwise stated.
Demographic, medical, and lifestyle-related assessments.
During Visit 1, demographic and medical history information is collected during an interview with a study team member. Interviews are conducted in a private, dedicated room, and answers are entered directly into a secure data repository system (REDCap, Vanderbilt University). Demographic information includes sex, age, race, ethnicity, and education level. Medical history includes cardiovascular, endocrine, gastrointestinal, genitourinary, infectious, musculoskeletal, neurological, oncological, psychological, and respiratory conditions, as well as a complete list of current medications (both prescription and over the counter) and supplements. At this time, social history information is also collected (smoking status, alcohol use, and recreational drug use). During Visit 2, medical and social history information is updated as needed.
Information on physical activity is collected using the CHAMPS Physical Activity Questionnaire for Older Adults. This questionnaire is self-administered using a printed version, and it assesses the weekly frequency and duration in which one is engaged in a variety of physical activities [25]. The main measure derived from this assessment is estimated weekly caloric expenditure. Dietary intake data will be collected and analyzed using the Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool, version 2024, developed by the National Cancer Institute (https://epi.grants.cancer.gov/asa24). The ASA24 system does not capture any personally identifiable data from respondents and respondents’ data are protected by industry standard security protocols. The ASA24 tool is validated for use in the general US population and has comparable performance to interviewer-administered 24-h recalls [26, 27]. Participants are instructed to complete one 24-h recall biweekly for a total of 12 recalls. They are also instructed to perform the recalls on different days to cover different week and weekend days. If participants express that they cannot use the automated system, a trained study team member conducts interviewer-led dietary recalls over the phone instead. Recall data will be used to estimate participants usual dietary intake during the intervention.
Anthropometric assessments.
Anthropometric data is collected using bioelectrical impedance analysis. Participants are instructed to empty their pockets and step onto the bioimpedance scale (BC-418, Tanita, Tokyo, Japan) while barefoot. After the weight measure stabilizes, participants hold the grips to the side of their bodies and remain still until the measurement is complete. All participants undergo bioelectrical impedance analysis while fasting at the beginning of the study visit, and they are given a chance to urinate prior to stepping onto the scale. As an optional procedure, participants may elect to undergo a whole-body dual X-ray absorptiometry (DEXA; Lunar iDXA with enCORE software version 17, GE Healthcare, Chicago, IL) [28]. This assessment occurs at the Oklahoma Clinical and Translational Science Institute (Oklahoma City, OK) up to two weeks after Visit 1 and up to two weeks before or after Visit 2.
Cognitive performance assessments.
Cognitive performance data are collected using the NIH Toolbox Cognitive Battery (Toolbox Assessments, Inc., Chicago, IL) and the N-back working memory paradigm. The NIH Toolbox Cognitive Battery includes the following tests: Picture Vocabulary, Flanker Inhibitory Control and Attention, List Sorting Working Memory, Dimensional Change Card Sort, Pattern Comparison Processing Speed, Picture Sequence Memory, and Oral Symbol Digit. These tests cover several cognitive domains, including executive function, attention, memory, language, and processing speed. The NIH Toolbox Battery is administered using the iPad version in a quiet, dedicated room and takes about 45 minutes to complete. This tablet version is adequate for older adults (>54 years old) and repeated measures with an interval of at least 4 weeks [29].
The N-back task is administered during cerebrovascular assessments to elicit neurovascular responses (see next section for details on the cerebrovascular assessments) using E-Prime 3.0 software (Psychology Software Tools, Pittsburgh, PA). The N-back task has increasing difficulty levels and is related to working memory function. Briefly, participants watch an instructional video that explains how to perform the task, and the examiner verbally confirms that they understood the task and provides clarification as needed. For the task, the participant monitors several stimuli on a computer screen and engages with the computer program by clicking the left mouse button whenever they recognize the stimulus as equal to another one presented N steps previously, where N is a prespecified number. In the 1-back task, the participant should react when they recognize a letter that is the same as the letter presented 1 step back. For instance, if the participant is presented with the sequence of letters A-B-C-C-D, they should respond to the letter C sequence. In the 2-back task, the participant should react when they recognize a letter that is the same as the letter presented 2 steps back. For example, if the participant is presented with the sequence of letters A-B-C-B-D, they should respond to the letter B sequence. We conduct 0-, 1-, and 2-back tasks, where 0-back tasks are defined as the baseline condition (identification of the prespecified letter W). For cognitive stimulation during fNIRS and electroencephalography (EEG), each task contains 32 letters and lasts 72 seconds, and the sequence of tasks is 0-back, 1-back, 0-back, and 2-back, with 10 seconds of rest between each task, for a total of 4 blocks. For cognitive stimulation during fMRI, each task contains 20 letters and lasts 35 seconds. The sequence of tasks is the same but with 15 seconds of rest between each task and repeated 4 times for a total of 16 blocks. The cognitive performance parameters evaluated with the N-back task are reaction time (defined as the time in ms between stimulus presentation and response) and accuracy index (defined as the subtraction of the z-transformed scores for correct hit and false alarm rates) for each N-back task, as described elsewhere [24].
Physiological assessments.
Single-point blood pressure is measured at pre-specified time points: before NIH Toolbox battery, before dynamic retinal vessel analysis, before laser speckle contrast imaging, and before brachial artery sonography. Blood pressure is also measured continuously during fNIRS and EEG. Single-point blood pressure measurements are taken with an automatic sphygmomanometer (upper arm blood pressure monitor) while participants are seated in an upright position according to clinical guidelines [30]. Continuous blood pressure measurements are taken with an automatic finger cuff system (Human NIBP Nano, ADInstruments, Sydney, Australia) and recorded on LabChart (ADInstruments). Arterial augmentation index is measured using radial artery tonometry and pulse wave analysis (SphygmoCorCVMS, AtCor Medical, New South Wales, Australia).
Flow-mediated dilation of the brachial artery was measured according to published guidelines [31]. Leads are placed on the participant’s torso for a 3-lead electrocardiography to monitor their heart rate continuously during the flow-mediated dilation procedure, and they are allowed to rest supine for at least 15 minutes prior to the measurement. A sphygmomanometer cuff is placed below the antecubital fossa on the right forearm in preparation for the occlusion phase. This cuff is attached to an automatic inflator (Hokanson E20 Rapid Cuff Inflator, Bellevue, WA) set to sustain pressure at 50 mmHg above the participant’s current systolic blood pressure or at a maximum of 200 mmHg. The right brachial artery is visualized using a Doppler ultrasound system equipped with an 8–12 MHz transducer (Phillips Affinity 70, Cambridge, MA). After acquiring 60 seconds of stable baseline imaging, reactive hyperemia is induced by sustaining forearm occlusion for 5 minutes and releasing it. Brachial artery diameter imaging is recorded for the last 30 seconds of occlusion and 2.5 minutes following cuff deflation. Imaging data is analyzed using Brachial Analyzer for Research software (Medical Imaging Applications LLC, Coralville, IA) to obtain artery diameter values and calculate the flow-mediated dilation response [31, 32].
Microvascular perfusion parameters (fold change and acute perfusion) are assessed using laser speckle contrast imaging (PSI System, Perimed, Jarfalla, Sweden) under reactive hyperemia conditions. Participants are seated upright with their left hand placed directly underneath the camera system. A sphygmomanometer cuff is placed proximal to the antecubital fossa on the left upper arm. Before and after the assessment, the temperature along the middle finger (nailbed, medial phalange, and metacarpo-phalangeal joint) is measured using a non-contact thermometer (TW2, Thermoworks, American Fork, UT). After acquiring 60 seconds of stable baseline, reactive hyperemia is induced in the same way as described for the brachial arterial flow-mediated dilation procedure. Continuous perfusion data is analyzed using PIMSoft software (Perimed) to calculate reactive hyperemia-induced fold change and acute perfusion [32].
Sublingual microvascular parameters (glycocalyx-perfused boundary region, capillary density, and red blood cell filling percentage) are obtained using a side-stream dark field camera (CapiScope HVCS, KK Technology, Honiton, UK) and GlycoCheck software (Microvascular Health Solutions Inc., Salt Lake City, UT). Participants are seated upright and instructed to swallow any excess saliva. The camera is then inserted into the participant’s mouth and held in place in the sublingual region for imaging recording. The software conducts quality control in real time, only recording for analysis images within quality parameters of focus, motion, and intensity. The recording takes 5 to 7 minutes to complete, and the analysis is automatically performed by the software.
Retinal vessel reactivity is assessed using a Dynamic Vessel Analyzer (IMEDOS, Jena, Germany) according to published protocols [33, 34]. The pupil of one eye is dilated using topical tropicamide (1% tropicamide ophthalmic solution USP) 20 minutes prior to the assessment. Using a mydriatic retinal camera, retinal arterial and venous diameters are continuously recorded during baseline and flickering light stimulation (total duration: 350 s). After recording 50 seconds of stable baseline, three cycles of stimulation are performed consecutively, each consisting of 20 seconds of flickering light (12.5 Hz) followed by 80 seconds of steady light (resting period). Imaging data is analyzed using the integrated software (IMEDOS) to obtain arterial vessel diameter values and calculate the reactivity parameters, as previously described [35, 36].
Neurovascular coupling responses and brain electrical activity are assessed simultaneously using fNIRS (NIRSport2, NIRx Medical Technologies, LLC, Glen Head, NY) and EEG during cognitive stimulation (N-back task, as described in the Cognitive performance assessments subsection). EEG data are recorded using a 16 channel biosignal amplifier (g.HIamp, g.tec medical engineering GmbH, Castleton-On-Hudson, NY) and 16 active electrodes placed according to the international 10–5 system on a tight fabric cap (EASYCAP GmbH, Herrsching am Ammersee, Germany). fNIRS data are acquired using 16 pairs of sources and detectors placed according to the international 10–20 system on the same fabric cap to form 48 channels and 8 short-distance channels. Sampling frequency for EEG and fNIRS data acquisition are 1200 Hz and 5.1 Hz, respectively. Temporal synchronization is achieved by simultaneous triggers using a parallel port.
As an optional procedure, participants may elect to undergo a fMRI scanning. Both structural (T1-weighted, T2, and tissue characterization scans) and functional (single-shot EPI sequence scan) imaging data are acquired in a 3.0 T magnetic resonance system. Functional runs include a resting state period (10 minutes) and a cognitive task (N-back task, as described in the Cognitive performance assessments subsection). This assessment occurs at the Laureate Institute for Brain Research (Tulsa, OK) up to two weeks after Visit 1 and up to two weeks before or after Visit 2.
Biospecimen collection.
Up to 40 mL of blood is collected by trained staff into heparin, EDTA, and untreated tubes. Heparinized blood is used immediately upon collection for quantifying blood lipids using chemistry reagent discs (Lipid Panel Plus, Piccolo Xpress, Abaxis, Union City, CA). EDTA-treated and untreated blood samples are processed to separate plasma, serum, and buffy coat aliquots, which are stored in -80°C freezers (along with EDTA-treated whole blood aliquots) for further analysis.
Safety considerations.
The procedures in this study incur no more than minimal risks that are associated with routine medical procedures. Nonetheless, some procedures have potential physical risks that require additional safety considerations. For dynamic vessel retinal analysis, physical risks include photosensitive epilepsy induced by the flickering light and acute glaucoma attack induced by pupil dilation. Therefore, participants undergo safety screening prior to the procedure, which includes a questionnaire to assess eye health (prior eye surgery, existing eye pathologies, tropicamide allergy, etc.) and seizure history, and eye examination to assess intraocular pressure (eligibility cutoff <22 mmHg; iCARE CI100 tonometer, Icare, Vantaa, Finland) and anterior chamber depth (slit lamp examination). If a participant has significant eye pathology, tropicamide allergy, positive seizure history, intraocular pressure above the cutoff value, and/or shallow anterior chamber, they are not eligible for dynamic vessel analysis and are excluded from the procedure. Similarly, participants who opt-in to the fMRI undergo safety screening prior to the procedure. These participants will fill out a standard safety form that records medical history relevant to scanner safety (e.g., implanted devices, surgical history, claustrophobia history). If safety criteria are not met, they are not eligible for fMRI and the procedure is not performed.
Table 3 summarizes the participant timeline for the TRE study, including enrollment, intervention, assessments, and adherence and monitoring.
Data management and monitoring
All clinical and digital data obtained during the study are de-identified and stored electronically in HIPAA-compliant storage including institutional shared drive, password-protected encrypted external hard drives, and user-authenticated REDCap database. Access to participant data is limited to study staff only. Physical records are kept in a locked cabined located in a secure room that is only accessible to the research team. Further, a safety officer approved by the sponsor and Institutional Review Board monitors the study data and safety according to the approved Data and Safety Monitoring Plan. They receive biannual reports as well as ongoing reports of harms for classification and monitoring.
Statistical methods
All data will be presented as mean ± standard deviation or standard error, as applicable. Macro- and microvascular endothelial function data will be corrected for mean arterial pressure and analyzed as previously described [32]. For all statistical analyses, we will use visit 1 and visit 2 as repeated measures. We will perform normality tests and then compare baseline and endpoint data using paired t-test or Wilcoxon matched pairs, as appropriate. Regression models will be used to study the association between energy balance and cerebrovascular and endothelial function outcomes with adjusting for confounding factors (Table 3). Missing data will be handled using multiple imputation due to its robustness for small sample sizes. For post-hoc analysis, we will perform the Bonferroni test. The level of significance will be set at less than 5%. fNIRS data will be analyzed using a pipeline based on the general linear model (GLM) approach created using the Brain AnalyzIR toolbox as described previously [24, 37]. EEG data will be analyzed using a pipeline created in the EEGLAB toolbox, as previously described [38]. fNIRS and EEG data will be analyzed in MATLAB (2023b or later version, Mathworks, Natick, MA). Other statistical analyses will be performed in Prism (10 or later version, GraphPad Software, La Jolla, CA).
Discussion
We expect that adhering to a 10:14 TRE regimen for 6 months will significantly improve cerebrovascular and endothelial function in community-dwelling older adults, and that this will be accompanied by improvements in cognitive performance. These results would indicate that TRE is a potential dietary intervention to improve age-related cerebrovascular dysfunction and cognitive impairment. This would provide evidence support for the application of TRE as a non-pharmacological therapeutic strategy to delay the incidence or slow the progression of cognitive impairment in older adults.
We selected a 10:14 regimen considering that previous studies on the effect of TRE in older adults that utilized a shorter eating window (8 h) reported significant weight loss [15–17, 39], which–besides not being an outcome in this study–may be undesirable in this population. Short eating windows (6–8 h) may also be detrimental for skeletal muscle anabolism and worsen muscle mass loss in older adults [40]. Further, recent data suggest that an 8-h eating window TRE regimen negatively affects social activities among adults [41], and social engagement improves quality of life and several health outcomes in older adults [42]. Thus, we selected a 10-h eating window TRE regimen as the most appropriate for older adults to minimize adverse events.
Although older age is defined as starting at 65 years of age, large population-based studies show that endothelial function start to rapidly decline after 50 years of age (33–35). Further, cognitive decline is a gradual process that starts before the manifestation of clinical signs and symptoms, with about 11% of US adults over 45 years of age experiencing subjective cognitive decline [43]. Therefore, our study will recruit individuals between 55 and 80 years of age and will not include the oldest old adults (>80 years of age) because their inclusion may affect data interpretation (enrollment of survivors) and because safety and tolerability of TRE on this age group is not established.
Limitations
This study has important limitations that must be acknowledged. First, this is a single-arm study without a control arm; second, the sample size is small; and third, there may be unmeasured confounders that may introduce bias to the analysis. These limitations limit the generalizability of the study and will be thoroughly considered when reporting the final results.
References
- 1. Manly JJ, Jones RN, Langa KM, Ryan LH, Levine DA, McCammon R, et al. Estimating the Prevalence of Dementia and Mild Cognitive Impairment in the US: The 2016 Health and Retirement Study Harmonized Cognitive Assessment Protocol Project. JAMA Neurol. 2022;79(12):1242–9. pmid:36279130
- 2. Global Burden of Disease Dementia Collaborators. Global, regional, and national burden of Alzheimer’s disease and other dementias, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18(1):88–106. pmid:30497964
- 3. Zissimopoulos JM, Tysinger BC, St Clair PA, Crimmins EM. The Impact of Changes in Population Health and Mortality on Future Prevalence of Alzheimer’s Disease and Other Dementias in the United States. J Gerontol B Psychol Sci Soc Sci. 2018;73(suppl_1):S38–S47. pmid:29669100
- 4. Gorelick PB, Scuteri A, Black SE, Decarli C, Greenberg SM, Iadecola C, et al. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the american heart association/american stroke association. Stroke. 2011;42(9):2672–713. pmid:21778438
- 5. Toth P, Tarantini S, Csiszar A, Ungvari Z. Functional vascular contributions to cognitive impairment and dementia: mechanisms and consequences of cerebral autoregulatory dysfunction, endothelial impairment, and neurovascular uncoupling in aging. Am J Physiol Heart Circ Physiol. 2017;312(1):H1–H20. pmid:27793855
- 6. Katusic ZS, d’Uscio LV, He T. Emerging Roles of Endothelial Nitric Oxide in Preservation of Cognitive Health. Stroke. 2023;54(3):686–96. pmid:36848426
- 7. Sorond FA, Schnyer DM, Serrador JM, Milberg WP, Lipsitz LA. Cerebral blood flow regulation during cognitive tasks: effects of healthy aging. Cortex. 2008;44(2):179–84. pmid:18387547
- 8. Dichgans M, Leys D. Vascular Cognitive Impairment. Circ Res. 2017;120(3):573–91. pmid:28154105
- 9. Tarumi T, Zhang R. Cerebral blood flow in normal aging adults: cardiovascular determinants, clinical implications, and aerobic fitness. J Neurochem. 2018;144(5):595–608. pmid:28986925
- 10. Zhu WM, Neuhaus A, Beard DJ, Sutherland BA, DeLuca GC. Neurovascular coupling mechanisms in health and neurovascular uncoupling in Alzheimer’s disease. Brain. 2022;145(7):2276–92. pmid:35551356
- 11. Attwell D, Buchan AM, Charpak S, Lauritzen M, Macvicar BA, Newman EA. Glial and neuronal control of brain blood flow. Nature. 2010;468(7321):232–43. pmid:21068832
- 12. Claassen JAHR, Thijssen DHJ, Panerai RB, Faraci FM. Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation. Physiological Reviews. 2021;101(4):1487–559. pmid:33769101
- 13. Willie CK, Tzeng YC, Fisher JA, Ainslie PN. Integrative regulation of human brain blood flow. J Physiol. 2014;592(5):841–59. pmid:24396059
- 14. Kortas JA, Reczkowicz J, Juhas U, Ziemann E, Swiatczak A, Prusik K, et al. Iron status determined changes in health measures induced by nordic walking with time-restricted eating in older adults- a randomised trial. BMC Geriatr. 2024;24(1):300. pmid:38553690
- 15. Domaszewski P, Konieczny M, Dybek T, Lukaniszyn-Domaszewska K, Anton S, Sadowska-Krepa E, et al. Comparison of the effects of six-week time-restricted eating on weight loss, body composition, and visceral fat in overweight older men and women. Exp Gerontol. 2023;174:112116. pmid:36739795
- 16. Domaszewski P, Konieczny M, Pakosz P, Lukaniszyn-Domaszewska K, Mikulakova W, Sadowska-Krepa E, et al. Effect of a six-week times restricted eating intervention on the body composition in early elderly men with overweight. Sci Rep. 2022;12(1):9816. pmid:35701451
- 17. Domaszewski P, Konieczny M, Pakosz P, Baczkowicz D, Sadowska-Krepa E. Effect of a Six-Week Intermittent Fasting Intervention Program on the Composition of the Human Body in Women over 60 Years of Age. Int J Environ Res Public Health. 2020;17(11). pmid:32531956
- 18. Anton SD, Lee SA, Donahoo WT, McLaren C, Manini T, Leeuwenburgh C, et al. The Effects of Time Restricted Feeding on Overweight, Older Adults: A Pilot Study. Nutrients. 2019;11(7). pmid:31262054
- 19. Martens CR, Rossman MJ, Mazzo MR, Jankowski LR, Nagy EE, Denman BA, et al. Short-term time-restricted feeding is safe and feasible in non-obese healthy midlife and older adults. Geroscience. 2020;42(2):667–86. pmid:31975053
- 20. Saini SK, Singh A, Saini M, Gonzalez-Freire M, Leeuwenburgh C, Anton SD. Time-Restricted Eating Regimen Differentially Affects Circulatory miRNA Expression in Older Overweight Adults. Nutrients. 2022;14(9). pmid:35565812
- 21. Andriessen C, Fealy CE, Veelen A, van Beek SMM, Roumans KHM, Connell NJ, et al. Three weeks of time-restricted eating improves glucose homeostasis in adults with type 2 diabetes but does not improve insulin sensitivity: a randomised crossover trial. Diabetologia. 2022;65(10):1710–20. pmid:35871650
- 22. Butcher NJ, Monsour A, Mew EJ, Chan AW, Moher D, Mayo-Wilson E, et al. Guidelines for Reporting Outcomes in Trial Protocols: The SPIRIT-Outcomes 2022 Extension. JAMA. 2022;328(23):2345–56. pmid:36512367
- 23. Mirmiran P, Bahadoran Z, Gaeini Z. Common Limitations and Challenges of Dietary Clinical Trials for Translation into Clinical Practices. Int J Endocrinol Metab. 2021;19(3):e108170. pmid:34567133
- 24. Mukli P, Pinto CB, Owens CD, Csipo T, Lipecz A, Szarvas Z, et al. Impaired Neurovascular Coupling and Increased Functional Connectivity in the Frontal Cortex Predict Age-Related Cognitive Dysfunction. Advanced Science. 2024;11(10):2303516. pmid:38155460
- 25. Stewart AL, Mills KM, King AC, Haskell WL, Gillis D, Ritter PL. CHAMPS physical activity questionnaire for older adults: outcomes for interventions. Med Sci Sports Exerc. 2001;33(7):1126–41. pmid:11445760
- 26. Subar AF, Kirkpatrick SI, Mittl B, Zimmerman TP, Thompson FE, Bingley C, et al. The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. J Acad Nutr Diet. 2012;112(8):1134–7. pmid:22704899
- 27. Kirkpatrick SI, Subar AF, Douglass D, Zimmerman TP, Thompson FE, Kahle LL, et al. Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall. Am J Clin Nutr. 2014;100(1):233–40. pmid:24787491
- 28. Krugh M, Langaker M. Dual-Energy X-Ray Absorptiometry. StatPearls. 2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK519042/
- 29. Parsey CM, Bagger JE, Trittschuh EH, Hanson AJ. Utility of the iPad NIH Toolbox Cognition Battery in a clinical trial of older adults. J Am Geriatr Soc. 2021. pmid:34342879
- 30. Whelton PK, Carey RM, Aronow WS, Casey DE, Jr., Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71(6):e13–e115. pmid:29133356
- 31. Harris RA, Nishiyama SK, Wray DW, Richardson RS. Ultrasound assessment of flow-mediated dilation. Hypertension. 2010;55(5):1075–85. pmid:20351340
- 32. Csipo T, Lipecz A, Fulop GA, Hand RA, Ngo BTN, Dzialendzik M, et al. Age-related decline in peripheral vascular health predicts cognitive impairment. GeroScience. 2019;41(2):125–36. pmid:31030329
- 33. Kotliar KE, Lanzl IM, Schmidt-Trucksäss A, Sitnikova D, Ali M, Blume K, et al. Dynamic retinal vessel response to flicker in obesity: A methodological approach. Microvasc Res. 2011;81(1):123–8. pmid:21094174
- 34. Garhofer G, Bek T, Boehm AG, Gherghel D, Grunwald J, Jeppesen P, et al. Use of the retinal vessel analyzer in ocular blood flow research. Acta Ophthalmol. 2010;88(7):717–22. pmid:19681764
- 35. Lipecz A, Csipo T, Tarantini S, Hand RA, Ngo BN, Conley S, et al. Age-related impairment of neurovascular coupling responses: a dynamic vessel analysis (DVA)-based approach to measure decreased flicker light stimulus-induced retinal arteriolar dilation in healthy older adults. Geroscience. 2019;41(3):341–9. pmid:31209739
- 36. Kotliar K, Hauser C, Ortner M, Muggenthaler C, Diehl-Schmid J, Angermann S, et al. Altered neurovascular coupling as measured by optical imaging: a biomarker for Alzheimer’s disease. Sci Rep. 2017;7(1):12906. pmid:29018233
- 37. Santosa H, Zhai XT, Fishburn F, Huppert T. The NIRS Brain AnalyzIR Toolbox. Algorithms. 2018;11(5). pmid:38957522
- 38. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004;134(1):9–21. pmid:15102499
- 39. Zhao L, Hutchison AT, Liu B, Yates CL, Teong XT, Wittert GA, et al. Time-restricted eating improves glycemic control and dampens energy-consuming pathways in human adipose tissue. Nutrition. 2022;96:111583. pmid:35150947
- 40. Lees MJ, Hodson N, Moore DR. A muscle-centric view of time-restricted feeding for older adults. Curr Opin Clin Nutr Metab Care. 2021;24(6):521–7. pmid:34475325
- 41. Antoni R, Robertson T., Robertson M., & Johnston J. A pilot feasibility study exploring the effects of a moderate time-restricted feeding intervention on energy intake, adiposity and metabolic physiology in free-living human subjects. J Nutr Sci. 2018;7(E22).
- 42. Bath PA, Deeg D. Social engagement and health outcomes among older people: introduction to a special section. Eur J Ageing. 2005;2(1):24–30. pmid:28794713
- 43.
Centers for Disease Control and Prevention. Subjective Cognitive Decline—A Public Health Issue. 2019. Available from: https://www.cdc.gov/aging/data/subjective-cognitive-decline-brief.html