Literature DB >> 30241302

Effect of Chlorogenic Acids on Cognitive Function: A Randomized, Double-Blind, Placebo-Controlled Trial.

Katsuyoshi Saitou1, Ryuji Ochiai2, Kazuya Kozuma3, Hirotaka Sato4, Takashi Koikeda5, Noriko Osaki6, Yoshihisa Katsuragi7.   

Abstract

(1) Background: Chlorogenic acids (CGAs) have been attracting interest of late, owing to their health benefits. Here, we performed a randomized, double-blind, placebo-controlled trial to investigate whether CGAs improved cognitive function in humans. (2)
Methods: Thirty-eight healthy participants were assigned to either the CGA group, which was given CGA-added beverage daily for 16 weeks, or the placebo group. Cognitive functions were assessed using the Japanese version of the CNS Vital Signs (Cognitrax). (3)
Results: The CGA group showed significant increase in the Cognitrax domain scores for motor speed, psychomotor speed, and executive function compared with the placebo group, as well as an improvement in the shifting attention test scores. In blood analysis, the CGA group showed increased levels of apolipoprotein A1 and transthyretin, both of which are putative biomarkers for early-stage cognitive decline. (4) Conclusions: These results suggest that CGAs may improve some cognitive functions, which would help in the efficient performance of complex tasks.

Entities:  

Keywords:  chlorogenic acid; cognitive functions; psychomotor speed

Mesh:

Substances:

Year:  2018        PMID: 30241302      PMCID: PMC6213760          DOI: 10.3390/nu10101337

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


1. Introduction

Cognitive function encompasses a wide range of brain functions, such as memory, attention, language, and executive function, all of which are essential for our daily activities. Cognitive decline threatens independence and quality of life during old age [1,2]. Cross-sectional studies have shown that cognitive function starts declining gradually in the late 20s, and the decline is accelerated by neurodegenerative diseases, including Alzheimer’s disease (AD) [3]. Therefore, early intervention for maintaining normal cognitive function is one of the important factors for successful aging [4]. Epidemiological studies indicate that the progression of cognitive decline is considerably influenced by various lifestyle factors, including diet [5,6,7,8,9]. For example, long-term intake of the Mediterranean diet is associated with better cognition in older adults [9]. In recent years, polyphenols have gained considerable attention owing to their potential in preserving cognitive function and preventing neurodegenerative disorders [8,10,11,12,13]. A 3-year follow-up study found that higher levels of total urinary polyphenols, which are objective biomarkers of total dietary polyphenol intake, were indicative of a lower risk of cognitive decline [10]. Another cross-sectional study showed that consumption of flavonoid-rich foods, including chocolate, wine, and tea, was associated with better performance in cognitive tests in the elderly [11]. Furthermore, an inverse association between dietary polyphenol intake and the incidence of dementia has also been reported [12]. Yet, the mechanism underlying the effects of polyphenols on cognitive function remains unclear. A wide range of attributes of polyphenols are thought to be involved with neuronal preservation, including those that protect cells from oxidative stress, stimulate neurogenesis, increase cerebral blood flow, and improve metabolic disorders [8,12,13]. Chlorogenic acids (CGAs) are polyphenols abundant in coffee, which have been shown to be promising in preventing neurodegenerative disorders [14]. Regular coffee consumption reduces the risk of neurodegenerative conditions [15,16], and CGAs are believed to be the key contributors [17]. This is supported by the fact that CGAs and their metabolites confer neuroprotective effects against oxidative stress [18,19] and promote neuronal differentiation [20]. A number of rodent-model studies have also demonstrated that CGAs can improve learning and memory functions [14,17,21,22]. Moreover, CGAs have been shown to ameliorate vascular function and glucose tolerance [17]. While many studies have shown positive effects of CGAs on brain function, very few human clinical studies have been conducted so far. Cropley et al. showed that the acute administration of CGAs exerts some positive mood and mood-related behavioral effects; however, they did not find any cognitive-improving effects [23], with similar results reported by Camfield et al. [24]. Recently, we performed a preliminary open-label trial to elucidate whether CGAs were beneficial for improving cognitive function in the elderly. In the trial, a 6-month intake of CGAs led to improved scores on cognitive test batteries, suggesting that CGAs conferred cognitive-improving benefits [25]. To further demonstrate the beneficial potential of CGAs, we performed a randomized, double-blind, placebo-controlled trial involving healthy participants.

2. Materials and Methods

2.1. Participants

Healthy voluntary participants aged 50–69 years with subjective memory complaints were recruited from around the Tokyo metropolitan area. The participants were preliminarily assessed for eligibility using questionnaires. After prescreening, the selected participants underwent a medical interview and two neuropsychological tests: a Mini-Mental State Examination (MMSE), a brief 30-point questionnaire widely used in screening for dementia [26], and the Japanese version of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), a brief test comprising 12 subtests that measure various neurocognitive domains [27]. To exclude those with likely dementia, the selection criterion for MMSE scores was 24 or over. The participants with an MMSE score of 29 or 30 were also excluded, since their cognitive functions are considered completely normal. Other exclusion criteria were as follows: food allergies; history of surgery for cerebrovascular diseases; eating disorders; excessive smoking; heavy drinking; severe anemia; history of medication for hepatitis; epileptic seizure; diabetes; thyroid or renal dysfunction; previous experience taking neuropsychological tests in a hospital; having taken RBANS within the previous 3 months; participating in another clinical trial; having taken medicine or supplements that might influence cognitive function; drinking more than 1 cup of coffee per day; and those who were judged inappropriate for participation by the physician in charge. Written informed consent was obtained from all participants before the commencement of the study.

2.2. Experimental Design

The present study was designed as a randomized, double-blind, placebo-controlled, parallel-group trial with a 16-week experimental period. The participants were randomly allocated to a CGA group and a placebo group using a stratified randomization procedure based on MMSE and RBANS scores at screening. During the study period, the participants ingested either a CGA-added beverage or a placebo beverage daily 30–60 min before bedtime, since CGAs have sleep improving effects [28]. On the visit day, the participants received cognitive assessment and blood analysis. They were restricted from eating and drinking anything other than water, from 5 h before visiting the clinic until the end of all the tests. There were no other dietary restrictions, and the participants were instructed to maintain their usual lifestyle and dietary habits during the study period. This study was performed at the Shiba Palace Clinic (Tokyo, Japan) from 3 December 2015 to 1 September 2016, in accordance with the Declaration of Helsinki (2013), managed by a contract research organization, SOUKEN CO., Ltd. (Tokyo, Japan). All the protocols were approved on 8 October 2015 by the Shiba Palace Clinic Ethics Committee, and were registered with the UMIN Clinical Trial Registry before the enrolment of the first participant (UMIN000020181).

2.3. Materials

CGAs were extracted from green coffee beans by using a hot-water extraction method [29]. The extract was filtered to reduce caffeine levels to below the limit of quantification (<1 mg/100 g) to avoid the potential effects of caffeine on cognitive function and sleep quality [30,31]. The filtered extract was then spray-dried to obtain a dry powder. The CGAs in the extract comprised three types of compounds: caffeoylquinic acids (CQAs), feruloylquinic acids (FQAs), and dicaffeoylquinic acids (diCQAs). The composition of these CGA types, as assessed using high-performance liquid chromatography, was as follows: 67.5% CQAs, 13.8% FQAs, and 18.6% diCQAs. The CGA-added beverage was prepared using the coffee bean extract, water, acidifiers, amino acids, vitamins, sweeteners, and flavoring agents. The total amount of CQAs and FQAs was 300 mg. The placebo beverage was identical except that it contained no CGAs.

2.4. Cognitive Function Assessment

For evaluating the cognitive function, the Japanese version of the CNS Vital Signs (CNSVS), known as Cognitrax, was performed at the baseline (0 weeks) and at 8 and 16 weeks after CGA or placebo treatment. CNSVS (CNS Vital Signs, LLC., Morrisville, NC, USA) is a computerized neurocognitive test battery that has been used extensively for its reliability and validity [32,33]. The test battery includes seven tests that are widely used in neuropsychological assessments: verbal memory test (VBM), visual memory test (VIM), finger tapping test (FTT), symbol digit cording (SDC), Stroop test (ST), shifting attention test (SAT), and continuous performance test (CPT). Tests were administered in this order. In the two memory tests, the participants remember 15 words (VBM) or geometric figures (VIM). For immediate recognition, the participants identify those 15 targets nested in the 15 new non-targets (immediate recall). At the end of the battery, the 15 targets are presented again, mixed randomly among 15 new non-targets (delayed recall). The outcomes of these tests are the numbers of correct hits and passes. In the FTT, the participants press the space bar on the keyboard with their right index finger as many times as they can in 10 s. This is repeated three times; then, the same trials are conducted with the left index finger. The outcomes are the average number of taps of the right or left hand. In the SDC, the references of eight symbol–digit pairs are presented on the screen. The participants type in as many of the number that corresponded to the highlighted symbol as possible in 120 s. The outcomes are the numbers of correct responses and errors. The ST has three parts. In the first part, the black Japanese Kanji characters meaning red, yellow, blue, or green, appear randomly on the screen, and the participants respond as soon as they see any characters (simple reaction). In the second part, the differently colored Kanji characters appear on the screen, and the participants respond only when the color matches the meaning of the characters (complex reaction). In the third part, the differently colored Kanji characters appear on the screen, but the participants only respond when the color of the character does not match its meaning (Stroop reaction). The outcomes are reaction times of each part (simple reaction time, complex reaction time and Stroop reaction time) and the number of committed errors in the Stroop reaction test (Stroop commission errors). In the SAT, three figures appear on the screen, one on top and two at the bottom. The participants select one figure from the bottom that matches the top figure either by shape or by color according to the rule, which changes at random. The participants make as many correct matches as possible in 90 s. The outcomes are the number of correct responses and errors, and the reaction times of the correct responses. In the CPT, English letters appear on the screen one by one, and the participants respond to “B” but not to any other letters for 5 min. In total, 200 letters are presented at random in the test, and 40 of these are the target letter “B”. The outcomes are the number of correct responses and errors, and reaction time. As Table 1 shows, the scores obtained by performing the seven tasks generated a composite neurocognitive index (NCI) and 11 domain scores: composite memory, verbal memory, visual memory, psychomotor speed, reaction time, complex attention, cognitive flexibility, processing speed, executive function, and simple attention. For example, composite memory is calculated on the basis of the total number of correct hits and passes in the VBM and VIM. Detailed calculation methods for other domain scores are described elsewhere [32,33]. All individual test scores and domain scores were age-adjusted and standardized by setting the mean score as 100 and the standard deviation (SD) as 15, in which higher scores were always better. Standardized scores less than 20 were truncated at 20, as described previously [34].
Table 1

Cognitive domain scores estimated using Cognitrax.

Cognitive DomainsScore Calculations
Neurocognitive Index (NCI)Average of Five Domain Scores: Composite Memory, Psychomotor Speed, Reaction Time, Complex Attention, Cognitive Flexibility
Composite MemoryVBM (Correct Hits + Correct Passes) + VIM (Correct Hits + Correct Passes)
Verbal MemoryVBM (Correct Hits + Correct Passes)
Visual MemoryVIM (Correct Hits + Correct Passes)
Psychomotor SpeedSDC (Correct Responses) + FTT (Right Tap Average + Left Tap Average)
Reaction TimeST (Complex Reaction Time + Stroop Reaction Time)
Complex AttentionST (Stroop Commission Errors) + SAT (Errors) + CPT (Commission Errors)
Cognitive FlexibilitySAT (Correct Responses − Errors) − ST (Stroop Commission Errors)
Processing SpeedSDC (Correct Responses − Errors)
Executive FunctionSAT (Correct Responses − Errors)
Simple AttentionCPT (Correct Responses − Commission Errors)
Motor SpeedFTT (Right Taps Average + Left Taps Average)

2.5. Blood Analysis

Blood samples were collected at the baseline and at 16 weeks of CGA or placebo treatment. Serum concentrations of apolipoprotein A1 (ApoA1) and transthyretin (TTR) were measured at BML, Inc. (Tokyo, Japan). ApoA1 was evaluated by turbidimetric immunoassay with a commercially available kit (ApoA-I Auto-N’ Daiichi’, Sekisui Medical Co., Ltd., Tokyo, Japan). TTR was measured with a nephelometry kit (N Antiserum to human prealbumin, Siemens Healthcare Diagnostics Inc., Marburg, Germany).

2.6. Statistical Analysis

Data are presented as mean ± SD unless otherwise indicated. The baseline characteristics of the participants were analyzed using an unpaired t-test. The Cognitrax scores were analyzed by a two-way repeated measure ANCOVA with two time points (8 W–16 W) and groups (placebo and CGA) including the baseline score as covariance, which was followed by an unpaired t-test at each time point when the interaction was significant. The interaction between time and group, with three time points (0 W–16 W), was also analyzed using a liner mixed model (LMM). For the blood parameters, changes in the values of 0 W and 16 W were calculated (∆ values), and these were analyzed by an unpaired t-test. Statistical significance was set at p < 0.05, and two-sided. SPSS version 19 (IBM Inc, Tokyo, Japan) was used for all the statistical analysis.

3. Results

3.1. Participants and Baseline Characteristics

Recruitment of participants for this study was carried out in two phases. In total, 209 individuals were screened (144 during the first phase and 65 during the second) and, finally, 38 participants were enrolled. One participant whose MMSE score was 23 was included because the physician in charge judged that he did not have dementia. A participant flow chart is shown in Figure 1. All participants completed the trial by complying with the study protocol, which required the consumption of more than 80% of the test beverage.
Figure 1

Flow diagram of the trial.

Baseline characteristics of the participants are presented in Table 2. None of the parameters measured at the baseline significantly differed between the placebo (n = 18) and CGA groups (n = 20). Throughout the study period, no adverse events were observed in relation to the intake of the test beverage.
Table 2

Baseline characteristics of participants.

GroupPlaceboCGA
Number of participants (male)18 (9)20 (12)
Age, y58.5 ± 6.359.3 ± 5.0
Body weight, kg63.1 ± 11.460.6 ± 11.5
MMSE score26.6 ± 1.526.7 ± 1.4
RBANS total score49.0 ± 10.750.0 ± 16.2

Values represent mean ± SD.

3.2. Cognitive Functions

Table 3 shows the NCI and cognitive domain scores calculated in Cognitrax. In the ANCOVA analysis, a significant time × group interaction was observed in the scores of psychomotor speed, motor speed, and executive function. In addition, a marginal interaction was observed in the scores of cognitive flexibility. Pairwise comparison (unpaired t-test) revealed that the scores of psychomotor speed and executive function at 16 W in the CGA group tended to be higher than those in the placebo group (p = 0.066 and 0.061, respectively). For the main effect of time, significant changes were observed in NCI, verbal memory, complex attention, cognitive flexibility, and executive function.
Table 3

The cognitive domain scores calculated in Cognitrax.

Standardized ScoresANCOVA (p-Values)LMM (p-Values)
Baseline(0 W)8 W16 WT(8 W–16 W)G(8 W–16 W)T × G(8 W–16 W)T × G(0 W–16 W)
Neurocognitive Index (NCI)Placebo82.7 ± 20.592.2 ± 23.295.7± 8.8<0.050.2510.5390.970
CGA87.5 ± 23.097.6 ± 15.9102.0 ± 9.0
Composite MemoryPlacebo86.3 ± 17.2104.7 ± 13.297.6 ± 11.00.1900.3270.1070.269
CGA84.3 ± 25.494.8 ± 24.699.5 ± 12.9
Verbal MemoryPlacebo84.3 ± 13.9105.2 ± 13.098.4 ± 16.4<0.050.3560.2120.594
CGA81.3 ± 25.196.8 ± 24.098.1 ± 19.1
Visual MemoryPlacebo94.2 ± 19.5102.4 ± 13.398.3 ± 13.00.7700.6290.1090.254
CGA92.8 ± 19.395.8 ± 17.8101.3 ± 8.8
Psychomotor SpeedPlacebo94.9 ± 21.299.3 ± 20.695.5 ± 11.90.1410.684<0.05<0.05
CGA91.9 ± 23.992.3 ± 28.7103.4 ± 13.8 #
Reaction TimePlacebo82.8 ± 23.490.4 ± 13.590.7 ± 10.60.7080.3050.4610.273
CGA101.3 ± 36.599.6 ± 27.794.4 ± 11.8
Processing SpeedPlacebo102.3 ± 14.4106.2 ± 13.6110.1 ± 11.40.9460.1580.9380.937
CGA107.7 ± 13.9112.6 ± 9.3116.4 ± 13.1
Motor SpeedPlacebo91.5 ± 25.794.8 ± 21.186.8 ± 14.30.2900.838<0.05<0.05
CGA85.5 ± 25.284.6 ± 28.294.4 ± 14.8
Complex AttentionPlacebo81.9 ± 29.491.7 ± 29.598.1 ± 20.7<0.050.1320.8320.914
CGA88.3 ± 330101.6 ± 22.3108.1 ± 12.6
Simple AttentionPlacebo91.6 ± 27.885.8 ± 31.990.9 ± 29.60.2840.2420.5670.316
CGA84.8 ± 35.489.3 ± 30.3100.7 ± 14.1
Cognitive FlexibilityPlacebo80.8 ± 23.495.9 ± 16.496.1 ± 14.4<0.050.6410.0870.279
CGA91.9 ± 18.4101.0 ± 16.7104.9 ± 11.9
Executive FunctionPlacebo81.2 ± 23.197.0 ± 16.296.6 ± 14.6<0.050.794<0.050.145
CGA91.8 ± 18.1100.6 ± 16.8104.9 ± 11.1 #

Values represent mean ± SD. # p < 0.1 vs. placebo by unpaired t-test. ANCOVA: analysis of covariance. LMM: a mixed linear model. T: time effect analyzed by ANCOVA. G: group effect analyzed by ANCOVA. T × G: time × group interaction analyzed by ANCOVA or LMM.

In the LMM analysis (0 W–16 W), a significant time × group interaction was also obtained in the scores of psychomotor speed and motor speed. Table 4 shows the scores of individual tests from Cognitrax. In the ANCOVA analyses, a significant time × group interaction was observed in the scores for right taps average in the FTT and correct responses in the SAT. In addition, a marginal interaction was observed in the scores of correct hits in the VBM, errors in the SDC, Stroop commission errors in the ST, and errors in the ST. Pairwise comparison showed the score for right taps average in the FTT, and correct responses in the SAT at 16 W in the CGA group tended to be higher than those in the placebo group (p = 0.071 and 0.063, respectively). For the main effect of group, in the CGA group, the scores for errors in the SDC tended to be higher (p = 0.080), and the scores for correct passes in the immediate VBM tended to be lower than those in the placebo group (p = 0.093), For the main effect of time, significant changes were observed in the scores for errors in the SDC, correct responses and errors in the SAT, and reaction time in the CPT.
Table 4

The scores of individual tests in Cognitrax.

Standardized ScoresANCOVA (p-Values)LMM (p-Values)
Baseline(0 W)8 W16 WT(8 W–16 W)G(8 W–16 W)T × G(8 W–16 W)T × G(0 W–16 W)
Verbal Memory Test (VBM)—Immediate
Correct HitsPlacebo89.6 ± 27.4100.6 ± 23.6100.2 ± 16.70.1810.6850.3750.545
CGA82.6 ± 33.694.8 ± 34.2102.0 ± 15.8
Correct PassesPlacebo103.7 ± 8.0105.3 ± 10.9104.3 ± 7.00.2030.0930.6390.739
CGA99.8 ± 16.5101.5 ± 10.097.5 ± 14.3
Verbal Memory Test (VBM)—Delay
Correct HitsPlacebo78.4 ± 20.9104.6 ± 12.295.1 ± 15.70.1540.6430.5900.669
CGA82.2 ± 24.899.9 ± 21.796.0 ± 25.8
Correct PassesPlacebo102.2 ± 11.1104.7 ± 7.7100.7 ± 10.90.6650.2440.2440.418
CGA99.3 ± 15.697.0 ± 16.0100.4 ± 14.6
Visual Memory Test (VIM)—Immediate
Correct HitsPlacebo83.5 ± 27.097.4 ± 18.390.2 ± 17.70.2890.5910.0810.146
CGA77.1 ± 32.186.3 ± 32.694.8 ± 13.1
Correct PassesPlacebo106.9 ± 19.6106.1 ± 16.5110.2 ± 10.00.6360.6290.1890.374
CGA107.0 ± 16.8108.0 ± 12.8105.3 ± 11.6
Visual Memory Test (VIM)—Delay
Correct HitsPlacebo85.3 ± 21.998.7 ± 19.493.3 ± 12.40.3150.9760.1210.303
CGA85.8 ± 31.593.8 ± 21.998.1 ± 15.7
Correct PassesPlacebo109.0 ± 19.4102.4 ± 17.2100.8 ± 17.70.9190.8790.5420.825
CGA110.4 ± 15.9102.3 ± 14.8103.4 ± 14.4
Finger Tapping Test (FTT)
Right Taps AveragePlacebo92.3 ± 28.097.2 ± 17.887.4 ± 12.40.1000.922<0.05<0.05
CGA87.0 ± 25.784.8 ± 31.896.0 ± 16.0 #
Left Taps AveragePlacebo93.8 ± 17.292.9 ± 23.287.9 ± 18.50.4030.5350.1260.054
CGA85.0 ± 25.486.0 ± 25.293.5 ± 13.4
Symbol Digit Coding (SDC)
Correct ResponsesPlacebo102.8 ± 13.0106.9 ± 11.4110.6 ± 9.60.6550.2610.6180.922
CGA107.7 ± 12.6112.6 ± 9.2115.3 ± 12.9
ErrorsPlacebo94.8 ± 23.695.3 ± 24.093.1 ± 18.0<0.050.0800.0660.390
CGA98.8 ± 20.499.1 ± 17.0106.5 ± 9.1
Stroop Test (ST)
Simple Reaction TimePlacebo76.8 ± 25.488.6 ± 14.786.6 ± 19.60.6670.3100.3370.642
CGA64.9 ± 32.576.1 ± 26.980.6 ± 25.3
Complex Reaction TimePlacebo82.3 ± 21.587.1 ± 14.589.2 ± 9.40.0800.2250.8600.367
CGA74.9 ± 26.989.6 ± 18.692.0 ± 11.2
Stroop Reaction TimePlacebo85.8 ± 23.394.9 ± 12.093.9 ± 11.20.2450.7210.1690.251
CGA81.4 ± 29.791.9 ± 21.497.3 ± 11.3
Stroop Commission ErrorsPlacebo94.8 ± 17.590.7 ± 19.396.2 ± 15.80.9200.1050.0750.133
CGA99.2 ± 13.9102.9 ± 8.199.3 ± 14.8
Shifting Attention Test (SAT)
Correct ResponsesPlacebo79.3 ± 20.794.6 ± 14.994.0 ± 13.9<0.050.779<0.050.165
CGA88.3 ± 17.797.9 ± 17.2102.2 ± 12.3 #
ErrorsPlacebo88.8 ± 22.5101.8 ± 14.9102.1 ± 14.0<0.050.7330.0740.168
CGA99.8 ± 16.5105.2 ± 13.2108.7 ± 7.9
Correct Reaction TimePlacebo91.3 ± 14.4101.6 ± 13.9101.9 ± 12.80.1890.5300.2140.518
CGA94.9 ± 15.2104.5 ± 16.6107.8 ± 14.7
Continuous Performance Test (CPT)
Correct ResponsesPlacebo90.0 ± 27.878.8 ± 34.587.0 ± 32.20.5610.3480.9600.434
CGA81.0 ± 36.483.7 ± 33.492.8 ± 20.8
Commission ErrorsPlacebo91.6 ± 28.992.6 ± 28.596.3 ± 22.20.5610.3480.9600.867
CGA94.8 ± 27.497.2 ± 23.0103.5 ± 9.4
Reaction TimePlacebo78.8 ± 17.484.8 ± 19.084.8 ± 8.4<0.050.4010.6070.965
CGA78.4 ± 18.486.3 ± 11.785.9 ± 9.1

Values represent mean ± SD. # p < 0.1 vs. placebo by unpaired t-test. ANCOVA: analysis of covariance. LMM: a mixed linear model. T: time effect analyzed by ANCOVA. G: group effect analyzed by ANCOVA. T × G: time × group interaction analyzed by ANCOVA or LMM.

In the LMM analysis (0 W–16 W), a significant time × group interaction was also observed in the scores for right taps average in the FTT.

3.3. Blood Analysis

Table 5 shows the results of blood analysis. With respect to ApoA1 concentration, values in the CGA group tended to be higher than that of the placebo group (p = 0.070), whereas values of TTR concentration were significantly higher of the CGA group than those of the placebo group.
Table 5

Blood concentrations of Apo A1 and TTR.

Baseline (0 W)16 W∆ Values
Apo A1, mg/dLPlacebo161.1 ± 29.0155.2 ± 29.6−5.9 ± 15.1
CGA161.9 ± 27.6165.9 ± 31.74.0 ± 17.4 #
TTR, mg/dLPlacebo25.9 ± 4.524.7 ± 3.8−1.2 ± 2.5
CGA25.7 ± 4.726.5 ± 5.10.7 ± 2.5 *

Values represent mean ± SD. * p < 0.05, # p < 0.1 vs. placebo by unpaired t-test.

4. Discussion

To the best of our knowledge, this is the first randomized, double-blind, placebo-controlled study that investigated the effects of a 16-week intake of CGAs on cognitive performance in humans. Comparison between CGA and placebo groups indicated the potential beneficial effects of CGAs on some cognitive functions. In the cognitive assessment using Cognitrax, practice effects (defined as improvement in performance due to repeated exposure to test materials and procedures [35,36]), were observed in most of the scores, especially between the 0 W and 8 W scores. Therefore, we performed statistical analysis with two time points (8 W–16 W), including the baseline score as covariance, to isolate the influence of these effects. The primary measures of interest of this study were cognitive domain scores (Table 3). Among these, psychomotor speed was significantly increased in the CGA group compared with the placebo group as well as motor speed. The domain score for psychomotor speed in Cognitrax is defined as “how well a subject perceives, attends, responds to complex visual-perceptual information, and performs motor speed and fine motor coordination” [32,33]. The scores for psychomotor speed is calculated from the FTT, one of the most commonly used tests to detect cognitive decline [32,37], and the SDC, a test for the assessment of attention and speed of information processing [32,38]. In the FTT, the scores in the CGA group were significantly increased compared with those in the placebo group. In the SDC, on the other hand, the CGA group showed a tendency toward lower numbers of errors (main effect of group; p = 0.080, time × group interaction; p = 0.066), which might reflect the improvement of information processing function that is necessary for better psychomotor performance [39]. Considerable evidence highlights the fact that slowing of psychomotor speed is a typical result of normal aging [40,41], and is related to the declines in other cognitive functions such as verbal fluency [42]. In addition, the slowing of psychomotor speed is a risk factor for falls in older adults [43]. Therefore, maintaining psychomotor speed is critical for the elderly, and CGAs could play a beneficial role in this effort, as we have shown here. The domain score for executive function was also significantly increased in the CGA group compared with the placebo group. The domain score for executive function is defined as “how well a subject recognizes rules, categories, and manages or navigates rapid decision making” [32,33]. In addition, we found that the domain score for cognitive flexibility was higher in the CGA group, although the difference was not statistically significant (time × group interaction; p = 0.087). The domain score for cognitive flexibility reflects “how well a subject is able to adapt to rapidly changing and increasingly complex set of directions and/or to manipulate the information” [32,33]. Both executive function and cognitive flexibility scores were calculated using the SAT. The scores for the SAT significantly increased compared with those of the placebo group, indicating improvement in the function of attention control [32]. Considering these findings, CGA intake may improve an individual’s ability to perform complex tasks efficiently by improving not only motor activity but also cognitive functions such as attention control. These findings are in accordance with the results of our previous pilot study, wherein a 6-month intake of CGAs was found to improve cognitive function, especially in the prefrontal cortex [25]. Blood analysis showed that the serum concentrations of TTR and ApoA1 increased due to the CGAs (Table 5). TTR confers neuroprotective properties, and decreased levels of TTR in the cerebrospinal fluid are associated with cognitive impairment [44]. The levels of ApoA1, one of the main constituents of high-density lipoproteins, are reduced in the cerebrospinal fluid of AD patients [45]. Of late, these proteins have been gaining considerable attention because recent cross-sectional and longitudinal cohort studies have shown their potential for use as blood biomarkers of early-stage cognitive decline [46]. Therefore, increased TTR and ApoA1 levels might reflect the improved cognitive functions, as observed in the neuropsychological tests (Table 3 and Table 4). A previous human study reported that a single ingestion of CGAs did not confer any significant benefits with respect to cognitive function [24]. Considering the fact that the duration of our present study was 16 weeks, a relatively long-term intake of CGAs might be necessary for the manifestation of the cognitive-improving effects, which are different from an acute effect as seen with caffeine [24,31]. The proper dosage may also be important since the previous study adopted a higher dose (540 mg). Although the fundamental mechanisms underlying the cognition-improving effects of CGAs remain unelucidated, the various properties of CGAs, such as the ones conferring neuroprotection and stimulating neurogenesis, may be key to the effects observed herein (see Introduction). In addition, CGAs have been shown to counter hypertension and obesity [17,29,47,48], both of which are risk factors for cognitive decline, leading to mild cognitive impairment and AD [8]. A recent study has also shown that CGAs can shorten sleep latency, which is the amount of time taken to transition from wakefulness to sleep [28]. This is significant in improving sleep quality, which is essential in maintaining cognitive function, as metabolic waste products in the brain are cleared during sleep [49]. Considering these findings, it is possible that long-term daily intake of CGAs may prevent cognitive disorders not only via direct neuroprotective action, but also indirectly by improving metabolic syndrome and sleep quality. To summarize, we investigated the effects of a 16-week intake of CGAs on cognitive functions in middle-aged and elderly individuals, as assessed using a cognitive test battery. The results indicated that CGAs improve some cognitive functions, including attention as well as motor speed, which may facilitate efficient performance of complex tasks. Blood concentrations of TTR and ApoA1—proteins whose reduced levels are markers of early-stage cognitive decline—increased after the CGA treatment, which might reflect the improved cognitive functions observed in the neuropsychological tests. A limitation of the present study is that practice effects might occur in some tests, as observed by the increase in the scores of the placebo groups (Table 3 and Table 4). Although practice effects are common in neuropsychological tests involving healthy individuals, they are undesirable and diminish the differences between the experimental and control groups [35,36]. Another limitation was the study period. The intervention period of this study (16 weeks) may be too short to observe the cognitive-improving effects of CGAs in detail, as cognitive decline progresses over the years. In addition, the number of participants was also limited in this study. Further studies with a higher number of participants over longer timescales are necessary, along with reduced practice effects, to confirm the long-term benefits of CGAs for cognitive function.
  48 in total

1.  Reliability and validity of a computerized neurocognitive test battery, CNS Vital Signs.

Authors:  C Thomas Gualtieri; Lynda G Johnson
Journal:  Arch Clin Neuropsychol       Date:  2006-10-02       Impact factor: 2.813

2.  Smoking as a risk factor for dementia and cognitive decline: a meta-analysis of prospective studies.

Authors:  Kaarin J Anstey; Chwee von Sanden; Agus Salim; Richard O'Kearney
Journal:  Am J Epidemiol       Date:  2007-06-14       Impact factor: 4.897

3.  The blood pressure-lowering effect and safety of chlorogenic acid from green coffee bean extract in essential hypertension.

Authors:  Takuya Watanabe; Yoichi Arai; Yuki Mitsui; Tatsuya Kusaura; Wataru Okawa; Yasushi Kajihara; Ikuo Saito
Journal:  Clin Exp Hypertens       Date:  2006-07       Impact factor: 1.749

4.  Coffee consumption is inversely associated with cognitive decline in elderly European men: the FINE Study.

Authors:  B M van Gelder; B Buijsse; M Tijhuis; S Kalmijn; S Giampaoli; A Nissinen; D Kromhout
Journal:  Eur J Clin Nutr       Date:  2006-08-16       Impact factor: 4.016

5.  Does coffee enriched with chlorogenic acids improve mood and cognition after acute administration in healthy elderly? A pilot study.

Authors:  Vanessa Cropley; Rodney Croft; Beata Silber; Chris Neale; Andrew Scholey; Con Stough; Jeroen Schmitt
Journal:  Psychopharmacology (Berl)       Date:  2011-07-20       Impact factor: 4.530

6.  Effects of subacute ingestion of chlorogenic acids on sleep architecture and energy metabolism through activity of the autonomic nervous system: a randomised, placebo-controlled, double-blinded cross-over trial.

Authors:  Insung Park; Ryuji Ochiai; Hitomi Ogata; Momoko Kayaba; Sayaka Hari; Masanobu Hibi; Yoshihisa Katsuragi; Makoto Satoh; Kumpei Tokuyama
Journal:  Br J Nutr       Date:  2017-04-17       Impact factor: 3.718

7.  Caffeinated coffee, decaffeinated coffee, and the phenolic phytochemical chlorogenic acid up-regulate NQO1 expression and prevent H₂O₂-induced apoptosis in primary cortical neurons.

Authors:  Jiyoung Kim; Siyoung Lee; Jaesung Shim; Hyo Won Kim; Jaekyoon Kim; Young Jin Jang; Hee Yang; Jiman Park; Seung Hwan Choi; Ji Hye Yoon; Ki Won Lee; Hyong Joo Lee
Journal:  Neurochem Int       Date:  2012-02-15       Impact factor: 3.921

Review 8.  The potential effects of chlorogenic acid, the main phenolic components in coffee, on health: a comprehensive review of the literature.

Authors:  Narges Tajik; Mahboubeh Tajik; Isabelle Mack; Paul Enck
Journal:  Eur J Nutr       Date:  2017-04-08       Impact factor: 5.614

9.  Low Levels of a Urinary Biomarker of Dietary Polyphenol Are Associated with Substantial Cognitive Decline over a 3-Year Period in Older Adults: The Invecchiare in Chianti Study.

Authors:  Montserrat Rabassa; Antonio Cherubini; Raul Zamora-Ros; Mireia Urpi-Sarda; Stefania Bandinelli; Luigi Ferrucci; Cristina Andres-Lacueva
Journal:  J Am Geriatr Soc       Date:  2015-04-27       Impact factor: 5.562

10.  Effect of Chlorogenic Acid Intake on Cognitive Function in the Elderly: A Pilot Study.

Authors:  Morimasa Kato; Ryuji Ochiai; Kazuya Kozuma; Hirotaka Sato; Yoshihisa Katsuragi
Journal:  Evid Based Complement Alternat Med       Date:  2018-03-07       Impact factor: 2.629

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  13 in total

1.  Neuromodulation and neuroprotective effects of chlorogenic acids in excitatory synapses of mouse hippocampal slices.

Authors:  Mara Yone D Fernandes; Fernando Dobrachinski; Henrique B Silva; João Pedro Lopes; Francisco Q Gonçalves; Felix A A Soares; Lisiane O Porciúncula; Geanne M Andrade; Rodrigo A Cunha; Angelo R Tomé
Journal:  Sci Rep       Date:  2021-05-18       Impact factor: 4.379

Review 2.  Role of phytochemicals as nutraceuticals for cognitive functions affected in ageing.

Authors:  Melanie-Jayne R Howes; Nicolette S L Perry; Carlos Vásquez-Londoño; Elaine K Perry
Journal:  Br J Pharmacol       Date:  2020-02-03       Impact factor: 8.739

Review 3.  The Role of Natural Antioxidants in the Prevention of Dementia-Where Do We Stand and Future Perspectives.

Authors:  Anamaria Jurcau
Journal:  Nutrients       Date:  2021-01-20       Impact factor: 5.717

4.  Pharmacologic Overview of Chlorogenic Acid and its Metabolites in Chronic Pain and Inflammation.

Authors:  Deniz Bagdas; Zulfiye Gul; Julie A Meade; Betul Cam; Nilufer Cinkilic; Mine Sibel Gurun
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

5.  5-Caffeoylquinic Acid Ameliorates Cognitive Decline and Reduces Aβ Deposition by Modulating Aβ Clearance Pathways in APP/PS2 Transgenic Mice.

Authors:  Keiko Ishida; Koichi Misawa; Hitomi Nishimura; Tomoya Hirata; Masaki Yamamoto; Noriyasu Ota
Journal:  Nutrients       Date:  2020-02-14       Impact factor: 5.717

6.  Effect of Chlorogenic Acids on Cognitive Function in Mild Cognitive Impairment: A Randomized Controlled Crossover Trial.

Authors:  Ryuji Ochiai; Katsuyoshi Saitou; Chika Suzukamo; Noriko Osaki; Takashi Asada
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

7.  Effects of Continuous Intake of Rosemary Extracts on Mental Health in Working Generation Healthy Japanese Men: Post-Hoc Testing of a Randomized Controlled Trial.

Authors:  Risa Araki; Kazunori Sasaki; Hiroyuki Onda; Syunsuke Nakamura; Masahiro Kassai; Toshiyuki Kaneko; Hiroko Isoda; Koichi Hashimoto
Journal:  Nutrients       Date:  2020-11-20       Impact factor: 5.717

Review 8.  Beneficial Effects of Epigallocatechin-3-O-Gallate, Chlorogenic Acid, Resveratrol, and Curcumin on Neurodegenerative Diseases.

Authors:  Ryuuta Fukutomi; Tomokazu Ohishi; Yu Koyama; Monira Pervin; Yoriyuki Nakamura; Mamoru Isemura
Journal:  Molecules       Date:  2021-01-14       Impact factor: 4.411

Review 9.  Ethnopharmacology of Fruit Plants: A Literature Review on the Toxicological, Phytochemical, Cultural Aspects, and a Mechanistic Approach to the Pharmacological Effects of Four Widely Used Species.

Authors:  Aline T de Carvalho; Marina M Paes; Mila S Cunha; Gustavo C Brandão; Ana M Mapeli; Vanessa C Rescia; Silvia A Oesterreich; Gustavo R Villas-Boas
Journal:  Molecules       Date:  2020-08-26       Impact factor: 4.411

10.  Short-Term Intake of Chlorogenic Acids Improves Psychomotor Speed and Motor Speed in Adults: A Randomized Crossover Trial.

Authors:  Chika Suzukamo; Ryuji Ochiai; Yuki Mitsui; Noriko Osaki; Takahiro Ono
Journal:  Brain Sci       Date:  2022-03-11
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