Literature DB >> 27658238

The Effect of Exercise Training on Resting Concentrations of Peripheral Brain-Derived Neurotrophic Factor (BDNF): A Meta-Analysis.

Adam Dinoff1,2, Nathan Herrmann1,3, Walter Swardfager1,2, Celina S Liu1,2, Chelsea Sherman1, Sarah Chan1, Krista L Lanctôt1,2,3.   

Abstract

BACKGROUND: The mechanisms through which physical activity supports healthy brain function remain to be elucidated. One hypothesis suggests that increased brain-derived neurotrophic factor (BDNF) mediates some cognitive and mood benefits. This meta-analysis sought to determine the effect of exercise training on resting concentrations of BDNF in peripheral blood.
METHODS: MEDLINE, Embase, PsycINFO, SPORTDiscus, Rehabilitation & Sports Medicine Source, and CINAHL databases were searched for original, peer-reviewed reports of peripheral blood BDNF concentrations before and after exercise interventions ≥ 2 weeks. Risk of bias was assessed using standardized criteria. Standardized mean differences (SMDs) were generated from random effects models. Risk of publication bias was assessed using funnel plots and Egger's test. Potential sources of heterogeneity were explored in subgroup analyses.
RESULTS: In 29 studies that met inclusion criteria, resting concentrations of peripheral blood BDNF were higher after intervention (SMD = 0.39, 95% CI: 0.17-0.60, p < 0.001). Subgroup analyses suggested a significant effect in aerobic (SMD = 0.66, 95% CI: 0.33-0.99, p < 0.001) but not resistance training (SMD = 0.07, 95% CI: -0.15-0.30, p = 0.52) interventions. No significant difference in effect was observed between males and females, nor in serum vs plasma.
CONCLUSION: Aerobic but not resistance training interventions increased resting BDNF concentrations in peripheral blood.

Entities:  

Year:  2016        PMID: 27658238      PMCID: PMC5033477          DOI: 10.1371/journal.pone.0163037

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Evidence suggests that physical activity confers cognitive benefits and can alleviate symptoms of psychiatric disorders in many individuals [1-11]. However, the mechanisms through which physical activity confers these benefits have not been fully elucidated. It is likely that a combination of physiological changes induced by physical activity results in these beneficial effects [12-14]. One current hypothesis is that physical activity stimulates the production of brain-derived neurotrophic factor (BDNF), a protein of the neurotrophin family involved in the growth, differentiation, and survival of neurons [12, 15–18]. An increase in BDNF resulting from physical activity is thought to increase adult neurogenesis and synaptogenesis, and prevent neuronal loss, possibly contributing to cognitive benefits and reduced psychiatric symptoms [19-25]. Importantly, studies suggest that peripheral BDNF concentrations may reflect CNS health to some extent, with concentrations typically being lower in patients with psychiatric disorders [26-32] and metabolic disorders [33]. Human and animal studies have examined the impact of physical activity on BDNF concentrations in different body compartments such as blood, muscle, and the brain [34-47]. Animal studies have reported an increase in BDNF after physical activity in various regions of the brain including the hippocampus, prefrontal cortex, motor cortex, lateral septum, cerebellum, striatum, and amygdala [42-56]. Peripheral blood studies in humans have been inconsistent, with some studies reporting increases in BDNF after physical activity and others reporting no significant change or even decreases in BDNF concentrations [20, 40, 57–66]. Possible reasons for this inconsistency include population heterogeneity, differences in type, intensity, and duration of the exercise intervention, and BDNF measurement from different blood components such as serum or plasma [67]. Previous reviews on the effect of exercise on BDNF have highlighted the impact of those study differences [68-71]. A systematic review by Knaepen et al. found a transient increase in peripheral BDNF after acute aerobic exercise but not after resistance training [69]. Furthermore, they concluded that chronic exercise training was unlikely to increase resting concentrations of BDNF but that more research was needed in this area. A review by Zoladz et al. on the same topic found similar results regarding acute exercise but reported mixed results regarding the effect of chronic exercise training on resting peripheral BDNF concentrations [70]. More recently, a systematic review by Huang et al. concluded that both acute and chronic aerobic exercise result in an increase in peripheral BDNF [68]. Consistent with previous reviews, no effect of resistance training on peripheral BDNF concentrations was found. A meta-analysis on the effect of exercise on peripheral BDNF concentrations in humans was published in 2015 by Szuhany et al. [72]. In their analysis, they found a moderate effect size for increases in BDNF following acute exercise and a small but significant increase in resting BDNF concentrations after exercise training. The effect of acute exercise on peripheral blood BDNF concentrations appears to be consistent; however, the effect of chronic exercise training on resting BDNF concentrations is less clear. Since the last review, more than 20 clinical studies investigating the effect of exercise on peripheral BDNF concentrations have been published, underscoring the importance of this topic. Thus, there is opportunity to re-evaluate the evidence to date and to further investigate moderators of this effect, such as exercise intensity and potential gender differences. This meta-analysis of human studies sought to quantify the magnitude and consistency of the effect of exercise training on resting concentrations of BDNF in peripheral blood. Potential differences in this effect across gender, age, and blood component (i.e. serum vs plasma) were also examined. Furthermore, the impacts of exercise modality, intensity, and duration on this effect were examined as possible sources of heterogeneity.

Methods

Data Sources

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [73] were followed for this meta-anlysis (S1 Text). English-language literature was searched using MEDLINE, Embase, PsycINFO, SPORTDiscus, Rehabilitation & Sports Medicine Source, and Cumulated Index to Nursing and Allied Health Literature (CINAHL) databases. One non-English language study was included (Koichiro et al. 2015), as a translator was available to extract information from that study. Databases were searched up to February 2016 for original reports of BDNF changes after exercise. A sample search strategy (MEDLINE) is presented in S2 Text. Reference lists of retrieved studies were searched for additional reports.

Study Selection

Inclusion criteria were as follows: 1) measured serum, plasma, or whole blood BDNF concentration; 2) BDNF measured before and after an exercise intervention; 3) intervention ≥ 2 weeks; 4) exercise intensity ≥ 50% of peak oxygen uptake (VO2Peak), or if exercise intensity was not reported, exercise described as running, cycling, or resistance training. Exclusion criteria were as follows: 1) study included a diseased population (e.g. diabetes, Parkinson’s disease, multiple sclerosis, etc.) or a psychiatric population (e.g. depression, schizophrenia, etc.); 2) study population consisted of children below the age of 18; or 3) study had significant co-interventions likely to impact the effect of exercise on BDNF concentrations (e.g. military training [74], restricted sleep, etc.) as these groups have altered BDNF concentrations which may modify the effect of exercise training on BDNF concentrations [33, 75–79]. Some studies that met these initial eligibility criteria were not included in this meta-analysis as the data were not extractable (e.g. standard deviation not reported) or the exercise intensity description implied that the intervention intensity was < 50% VO2Peak (e.g. yoga or easy walking).

Data Extraction

Two independent raters examined each article for eligibility. Disagreements regarding inclusion were settled by consensus with a third rater. Data on pre- and post-intervention mean BDNF concentrations and standard deviations [picograms/millilitre], population characteristics, exercise intervention characteristics, risk of bias items, and other study details were extracted into a pre-formatted spreadsheet by two raters. Missing data were requested from the corresponding authors. Exercise intensity prescriptions for percentage of maximum heart rate were converted to percentage of maximum VO2Peak as described by the National Council on Strength & Fitness [80]. In studies with multiple exercise intervention groups, groups were combined for the overall analysis. Studies were additionally categorized by whether the exercise intervention was aerobic or resistance training. In studies with an exercise intervention consisting of both aerobic and resistance training, interventions in which >50% of the time was spent performing aerobic exercise were considered aerobic and vice-versa.

Statistical Analyses

Standardized mean differences (SMD) and 95% confidence intervals (CI) were calculated using random-effects models [81]. SMDs were chosen because of variability in absolute BDNF concentrations between assays used by different laboratories and between measures of BDNF in different components of blood [82]. Random-effects models are preferred if significant heterogeneity is expected, as they account for variable underlying effects in estimates of uncertainty, including both within- and between- study variance. Heterogeneity across studies was summarized by Q statistics calculated in Chi-square analysis and I2 indices were calculated to investigate inconsistencies among results of the included studies [83]. Heterogeneity was further explored via subgroup analysis. In one study that measured BDNF in both serum and plasma [41], serum measurements were used in all analyses except subgroup analysis of serum versus plasma (in which both measurements were used), as serum BDNF measurements were more common across studies than plasma measurements. Inverse variance-weighted meta-regression analyses were used to investigate associations between SMD and population characteristics and intervention characteristics. Risk of publication bias was assessed visually using funnel plots and quantitatively with Egger’s test [84]. Study quality was assessed using criteria adapted from the Cochrane Collaboration’s Risk of Bias tool as done previously [85]. Analyses were conducted using Review Manager Version 5.3 (Cochrane Collaboration, Oxford, UK) and Stata (Release 14.1; StataCorp, College Station, TX).

Results

Population Characteristics

Twenty-nine studies met inclusion criteria and presented sufficient data to be included in this meta-analysis (Fig 1). Disagreement on whether a study met inclusion criteria arose for one study, and consensus was reached. Reasons for exclusion are shown in Fig 1. 910 participants (61.3% male, mean age 42.2 ± 22.4, mean BMI 25.8 ± 2.3) were included. Included studies ranged in size from 7 to 304 participants (Table 1) completing an exercise intervention. Mean exercise prescriptions were 50.9 ± 16.3 (20–90) minutes for 3.1 ± 1.0 (2–7) sessions per week for 12.4 ± 8.7 (5–52) weeks (Table 2).
Fig 1

Search and selection of articles.

Table 1

Baseline study population characteristics.

Author, yearnGender (% male)Mean age (years)Mean BMI (kg/m2)Mean VO2 Peak (mL∙kg-1∙min-1)
Araya et al [41], 2013154038.330.6?
Babaei et al [86], 20132210055.727.6?
Bos et al [87], 20132437.532.12438.3
Cho et al [88], 201423042.723.429.4
Coelho et al [89], 201220071.529.7?
Damirchi et al [58], 20141110054.129.828.4
Erickson et al [20], 2011602767.6?21.4
Ferris et al [90], 20061816.720??
Forti et al [60], 2014195565.724.7?
Forti et al [91], 201549496827.1?
Fragala et al [92], 201413????
Gapin et al [93], 2013204051.430.2?
Goekint et al [61], 2010a158020.123.9?
Goekint et al [94], 2010b9?21.223.2?
Kim H et al [95], 201566081.1??
Kim Y [96], 2015710020.621.8?
Koichiro et al [97], 2015121003524.624.5
Lemos et al [98], 201630410024.324.8?
Levinger et al [99], 2008234850.728.5?
Mueller et al [100], 20151643.827.233.6?
Murawska-Cialowicz et al [101], 20151258.325.624.238.3
Prestes et al [102], 201539067.427.9?
Ruiz et al [103], 2015202092.325.5?
Schiffer et al [104], 200918?22.4??
Seifert et al [105], 201071002927.3?
Wagner et al [106], 2015171002523.845.9
Williams & Ferris [107], 20121816.72021.933.8
Yarrow et al [108], 20102010021.925.9?
Zoladz et al [109], 20081310022.723.745.3

? indicates uncertain

Table 2

Exercise intervention characteristics of included studies.

Author, yearDuration (weeks)Frequency (sessions per week)InterventionIntensitySession time (mins)Modality
Araya et al [41], 2013103Exercise≥ 65% VO2 Peak60running or cycling
Babaei et al [86], 201363Exercise50–60% VO2 Peak60walking and running
Bos et al [87], 2013123Exercise?29.5walking and running
Cho et al [88], 2014244ExerciseAerobic training group: 50–80% VO2 Peak; Combined exercise group:?60Resistance training, ab exercises, running, jogging
Coelho et al [89], 2012103Exercise50–75% of 1RM, 8 reps for each exercise60resistance training
Damirchi et al [58], 201463Exercise50–60% VO2 Peak62.5walking and running
Erickson et al [20], 2011523ExerciseWeeks 1–7: 50–60% HR Max Weeks 8–52: 60–75% HR Max40walking
Ferris et al [90], 2006123Exercise65–75% VO2 Peak30running
Forti et al [60], 2014123Exercise50–80% of 1RM, 10 reps x 3 sets for each exercise60resistance training
Forti et al [91], 2015123Exercise6 on the OMNI scale of perceived exertion37.5resistance training
Fragala et al [92], 201462Exercise5 or 6 on the OMNI scale of perceived exertion?resistance training
Gapin et al [93], 201313?Exercise, Dietary Restrictions???
Goekint et al [61], 2010a103Exercise50–80% of 1RM, 10 reps x 3 sets for each exercise45resistance training
Goekint et al [94], 2010b83Exercise?30walking, running, or cycling
Kim H et al [95], 2015132Exercise, One group given milk fat globule membrane supplements12–14 RPE on the Borg Scale60resistance training
Kim Y [96], 201585Exercise11–15 RPE on the Borg Scale80running and taekwondo
Koichiro et al [97], 2015162ExerciseHigh intensity interval training; >90% VO2 peak separated by periods of 60 sec active rest20cycling or arm and leg ergometer
Lemos et al [98], 2016173Exercise80% VO2 Peak90jogging and running, body weight exercises
Levinger et al [99], 2008103ExerciseWeek 1: 40–50% of 1RM, 15–20 reps x 2 sets for each exercise; Week 2–10: 50–85% of 1RM, 8–20 reps x 3 sets for each exercise55resistance training
Mueller et al [100], 2015132Exercise70–80% HR Max60resistance training
Murawska-Cialowicz et al [101], 2015132Exercise85–95% HR Max60crossfit
Prestes et al [102], 2015162Exercise?45resistance training
Ruiz et al [103], 201583ExerciseAerobic training group: 10–12 RPE on Borg Scale; Resistance training group: 30–70% of 1RM, 8–10 reps x 2–3 sets for each exercise42.5cycling and resistance training
Schiffer et al [104], 2009123ExerciseAerobic training group: 50–60% HR Max; Resistance training group: 70–80% of 1RM, 8–10 reps x 3 sets for each exercise45resistance training and running
Seifert et al [105], 2010127Exercise, Dietary Restrictions70% HR Max or 65% VO2 Peak60cycling, running, swimming, or rowing
Wagner et al [106], 201563Exercise77% VO2 Peak60cycling
Williams & Ferris [107], 2012123Exercise65–70% HR Max30jogging
Yarrow et al [108], 201053Exercise70% of 1RM, 6 reps for each exercise?resistance training
Zoladz et al [109], 200854Exercise90% of VO2 at Lactate Threshold42.5cycling

? indicates uncertain

? indicates uncertain ? indicates uncertain

Comparison of Pre- and Post-Intervention BDNF Concentration

Resting concentrations of peripheral blood BDNF were significantly higher after an exercise training intervention (Fig 2). Neither a Funnel plot (S1 Fig) nor Egger’s test (p = 0.18) revealed significant risk of small-study effects. A Q2 value of 112.28 and I2 index of 75% signify considerable heterogeneity and inconsistency, respectively, among included studies. Qualitatively, nine of twenty-nine studies (31.0%) reported a significant increase in resting peripheral BDNF concentrations, no studies reported a significant decrease in resting peripheral BDNF concentrations, and twenty studies (69.0%) reported no significant change. Twenty-eight of the twenty-nine included studies were deemed to have high methodological quality (S1 Table).
Fig 2

Resting peripheral BDNF concentration change pre- to post-intervention.

Diamond indicates SMD and 95% CI. Significance of overall effect: Z = 5.00, P < 0.00

Resting peripheral BDNF concentration change pre- to post-intervention.

Diamond indicates SMD and 95% CI. Significance of overall effect: Z = 5.00, P < 0.00

Investigations of Heterogeneity

Aerobic Exercise vs Resistance Training

In eighteen studies in which the exercise intervention consisted of entirely or mostly (>50% of the time) of aerobic exercise, a greater increase in resting peripheral BDNF concentration was found (SMD = 0.66, 95% CI: 0.33–0.99, p < 0.001) than that found when all studies were combined. Substantial heterogeneity and inconsistency were present in this subgroup (Q2 = 86.26, I2 = 80%). In contrast, in twelve studies in which the exercise intervention consisted entirely or mostly of resistance training, there was no change in resting peripheral BDNF concentration after exercise (SMD = 0.07, 95% CI: -0.15–0.30, p = 0.52, Q2 = 19.12, I2 = 42%). The difference in effect size between these two subgroups was significant (Fig 3). Of note, one study [104] included both an aerobic exercise group and a resistance training group and these separate groups were included in their respective subgroups.
Fig 3

Subgroup analysis of aerobic exercise interventions vs resistance training interventions.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.004.

Subgroup analysis of aerobic exercise interventions vs resistance training interventions.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.004.

Other Exercise Intervention Characteristics

In meta-regression analyses, duration of exercise intervention (β = 0.038, p = 0.97, df = 28), exercise session time (β = 0.520, p = 0.61, df = 25), and number of exercise sessions per week (β = 1.471, p = 0.15, df = 27) were not significantly associated with changes in resting BDNF concentration (S2 Fig). Among studies in which exercise intensity was reported in percentage of VO2Peak or percentage of maximum heart rate (n = 15), there was no association between exercise intensity and changes in resting BDNF concentration (β = 1.478, p = 0.16, df = 14). The median and modal exercise intervention duration was 12 weeks. Effect sizes in studies with an intervention duration of less than 12 weeks (n = 13) were not significantly different from effect sizes in studies with an intervention duration of 12 weeks or greater (Fig 4). Significant heterogeneity and inconsistency were observed in both subgroups (Fig 4).
Fig 4

Subgroup analysis of studies with an intervention duration less than 12 weeks vs studies with an intervention duration of 12 weeks or greater.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.39.

Subgroup analysis of studies with an intervention duration less than 12 weeks vs studies with an intervention duration of 12 weeks or greater.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.39.

Serum vs Plasma

BDNF was measured more commonly in serum than in plasma (Fig 5). Fig 5 shows subgroup differences in change in BDNF concentration after exercise between serum and plasma. The difference between these two subgroups was not significant.
Fig 5

Subgroup analysis of BDNF concentration changes in serum vs plasma.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.06.

Subgroup analysis of BDNF concentration changes in serum vs plasma.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.06.

Gender

Nine studies included only men in their study population and four studies consisted entirely of females. Subgroup analysis showed no significant difference between effect sizes in studies that included only males and studies that included only females (Fig 6). Among studies in which the number of male and female participants was reported, no association was observed between percentage of male study participants and changes in resting BDNF concentration (β = -0.070, p = 0.95, df = 25).
Fig 6

Subgroup analysis of difference in effect sizes between males and females.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.50.

Subgroup analysis of difference in effect sizes between males and females.

Diamonds indicate SMD and 95% CI. Test for subgroup differences: P = 0.50.

Age and Body Mass Index (BMI)

The mean age of the study population was not associated with change in resting BDNF concentration (β = -1.182, p = 0.25, df = 27). Among studies reporting mean baseline BMI of participants, BMI was not associated with changes in resting BDNF concentration (β = 0.046, p = 0.96, df = 23).

Discussion

Collectively, the evidence suggests an increase in resting peripheral BDNF concentrations after aerobic exercise training interventions but not after resistance training interventions. The increase in resting peripheral BDNF concentrations after an exercise intervention is heterogeneous and was found to have a small effect size [110]. This is important, as an increase in BDNF is proposed to be a mechanism through which physical activity enhances cognition and alleviates psychiatric symptoms [24, 25, 111–113]. This finding strengthens the evidence that aerobic exercise and resistance training constitute different physiological stimuli with respect to neurotrophin concentrations. For brain health, this finding suggests a basis for possible differential benefits from different exercise modalities. Furthermore, since BDNF is significantly lower in individuals with psychiatric disorders [26, 28–31], an increase in BDNF via exercise may confer clinical benefit by ameliorating this abnormality. These results are similar to those reported in a previous meta-analysis on the effect of exercise on resting peripheral BDNF concentrations [72]. This current meta-analysis differs from that one due to the inclusion of 21 additional reports that were included due to a different search strategy and a later search period (February 2016). The larger number of included studies allowed for a more robust exploration of heterogeneity across studies and a stronger evaluation of current evidence. As suggested by high Q2 and I2 values, heterogeneity across studies, as opposed to random sampling error, contributed considerably to variability in effect estimates. Inconsistency in effect estimates may be due to differences in study populations, exercise intervention characteristics, measurement techniques, and study quality. Our explorations of heterogeneity suggested that inconsistency was not significantly related to gender or age. This is important as exercise is recommended in elderly to promote brain health [114-116]. Similarly, exercise intervention duration, intensity and session time were not associated with degree of change in resting peripheral BDNF concentrations. As such, the current evidence could not determine an ideal exercise prescription for increasing resting peripheral BDNF concentrations. No significant differences were found between studies measuring BDNF in serum versus plasma, although this subgroup analysis was limited by the relatively small number of studies measuring BDNF in plasma. As BDNF is stored in platelets, which are activated and release their contents in serum, serum concentrations of BDNF are substantially higher than plasma BDNF concentrations [67, 117]. Plasma BDNF concentration represents freely-floating, not stored, BDNF and thus may have a different physiological role from serum BDNF [118]. It is likely that there is a combination of different mechanisms through which physical activity confers benefits to neural health [12-14]. These may include increases in cerebral blood flow, changes in neuroendocrine responses, changes in endocannabinoid and neurotransmitter release, and structural changes in the central nervous system (CNS) [12, 113]. Increased BDNF is one proposed mechanism by physical activity confers these benefits [119]. Increased resting peripheral BDNF concentrations may indicate an increase in central BDNF production [120-123]. Increased BDNF production in the CNS may result in enhanced synaptogenesis and neuronal survival, resulting in structural changes and enhanced cognition [20, 22, 124–127]. While the findings support the hypothesis that BDNF concentration is increased in the blood after an exercise training intervention, it cannot be inferred that BDNF concentration is increased in the brain. Although one human study suggested an association between peripheral and central BDNF concentrations [121], the evidence in humans is limited. Since the human BBB is structurally and functionally different from those in animal models, we cannot infer from those models that BDNF can cross the human BBB [128, 129]. The roles of BDNF in the periphery are not well characterized and may involve regulation of energy homeostasis, modification of insulin activity, and modification of neuronal function in certain neuronal subpopulations in the peripheral nervous system [130-132]. Interestingly, a single nucleotide polymorphism (SNP) in the gene encoding BDNF, resulting in an amino acid substitution from valine to methionine, may impact the effect of exercise on BDNF concentrations [37, 133]. This SNP is present in approximately 30% of the global population and is associated with altered secretion of BDNF as well as a possible increase in serum BDNF concentration relative to those without the SNP [134-136]. The presence of this polymorphism may alter the relationship between fitness and brain outcomes such as cognition, mood, and response to mood treatments [133, 137, 138]. Few studies have assessed the potential impact of this SNP on the effect of exercise training on peripheral BDNF and brain outcomes. Findings from these reports suggest an increase in BDNF and improvements in memory after exercise only in those without the SNP [37, 133, 137]. However, those findings are limited by the small number of studies. Future work assessing the potential impact of this polymorphism on this effect and on the relationship between exercise and brain outcomes is required to determine whether exercise interacts equally with BDNF and brain outcomes in those with and without the polymorphism. The large number of studies assessing the impact of exercise on resting concentrations of peripheral blood BDNF indicates the importance of this topic and allowed for a robust exploration of this effect. Nevertheless, this meta-analysis was limited by the heterogeneity in study populations and exercise interventions prescribed across different studies. A variety of populations and exercise interventions were included in this report, which we attempted to address via subgroup and meta-regression analyses. In addition, variable adherence to the intervention may have detracted from the quality of evidence. Overall, this meta-analysis provides evidence for an increase in resting concentrations of peripheral blood BDNF after an exercise intervention. This effect is heterogeneous and may not be present in all individuals, suggesting the importance of further research to elucidate predictors of response. Interestingly, an increase in BDNF concentration may occur after aerobic exercise interventions but not resistance training interventions. Future studies in humans to determine whether peripheral concentrations of BDNF reflect central BDNF concentrations and whether BDNF can cross the human BBB are needed to assess the importance of these findings. In addition, further work to determine if changes in blood BDNF concentrations mediate clinical benefits, such as those on mood, cognition and other psychiatric disorders, would help to determine the usefulness of peripheral BDNF as a putative biomarker.

Funnel plot.

(DOCX) Click here for additional data file.

Meta-regression analyses graphs.

(DOCX) Click here for additional data file.

Assessment of risk of bias and study reporting quality.

+ indicates yes;—indicates no;? indicates uncertain; NA indicates not applicable. (XLSX) Click here for additional data file.

PRISMA checklist.

(DOC) Click here for additional data file.

Sample search strategy (Medline database).

(DOCX) Click here for additional data file.
  118 in total

Review 1.  Neurotrophins: roles in neuronal development and function.

Authors:  E J Huang; L F Reichardt
Journal:  Annu Rev Neurosci       Date:  2001       Impact factor: 12.449

2.  Recovery of endocrine and inflammatory mediators following an extended energy deficit.

Authors:  Paul C Henning; Dennis E Scofield; Barry A Spiering; Jeffery S Staab; Ronald W Matheny; Martha A Smith; Shalender Bhasin; Bradley C Nindl
Journal:  J Clin Endocrinol Metab       Date:  2013-12-11       Impact factor: 5.958

3.  Effects of adjunctive exercise on physiological and psychological parameters in depression: a randomized pilot trial.

Authors:  Arno Kerling; Uwe Tegtbur; Elke Gützlaff; Momme Kück; Luise Borchert; Zeynep Ates; Anne von Bohlen; Helge Frieling; Katja Hüper; Dagmar Hartung; Ulrich Schweiger; Kai G Kahl
Journal:  J Affect Disord       Date:  2015-01-15       Impact factor: 4.839

4.  Hippocampal structure, metabolism, and inflammatory response after a 6-week intense aerobic exercise in healthy young adults: a controlled trial.

Authors:  Gerd Wagner; Marco Herbsleb; Feliberto de la Cruz; Andy Schumann; Franziska Brünner; Claudia Schachtzabel; Alexander Gussew; Christian Puta; Stefan Smesny; Holger W Gabriel; Jürgen R Reichenbach; Karl-Jürgen Bär
Journal:  J Cereb Blood Flow Metab       Date:  2015-06-17       Impact factor: 6.200

Review 5.  Exercise and the treatment of clinical depression in adults: recent findings and future directions.

Authors:  Alisha L Brosse; Erin S Sheets; Heather S Lett; James A Blumenthal
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

6.  Moderate-intensity interval training increases serum brain-derived neurotrophic factor level and decreases inflammation in Parkinson's disease patients.

Authors:  J A Zoladz; J Majerczak; E Zeligowska; J Mencel; A Jaskolski; A Jaskolska; J Marusiak
Journal:  J Physiol Pharmacol       Date:  2014-06       Impact factor: 3.011

7.  Postnatal developmental profile of brain-derived neurotrophic factor in rat brain and platelets.

Authors:  Félicien Karege; Michèle Schwald; Mbaye Cisse
Journal:  Neurosci Lett       Date:  2002-08-16       Impact factor: 3.046

8.  Differential effects of treadmill running and wheel running on spatial or aversive learning and memory: roles of amygdalar brain-derived neurotrophic factor and synaptotagmin I.

Authors:  Yu-Fan Liu; Hsiun-ing Chen; Chao-Liang Wu; Yu-Min Kuo; Lung Yu; A-Min Huang; Fong-Sen Wu; Jih-Ing Chuang; Chauying J Jen
Journal:  J Physiol       Date:  2009-05-18       Impact factor: 5.182

9.  Effect of treadmill exercise on the BDNF-mediated pathway in the hippocampus of stressed rats.

Authors:  Zheng Huan Fang; Chan Hong Lee; Mi Kyoung Seo; Hyeyeon Cho; Jung Goo Lee; Bong Ju Lee; Sung Woo Park; Young Hoon Kim
Journal:  Neurosci Res       Date:  2013-05-09       Impact factor: 3.304

10.  The effect of regular Taekwondo exercise on Brain-derived neurotrophic factor and Stroop test in undergraduate student.

Authors:  Youngil Kim
Journal:  J Exerc Nutrition Biochem       Date:  2015-06-30
View more
  63 in total

Review 1.  Exercise and Hippocampal Memory Systems.

Authors:  Michelle W Voss; Carmen Soto; Seungwoo Yoo; Matthew Sodoma; Carmen Vivar; Henriette van Praag
Journal:  Trends Cogn Sci       Date:  2019-02-16       Impact factor: 20.229

Review 2.  Promoting Successful Cognitive Aging: A Ten-Year Update.

Authors:  Taylor J Krivanek; Seth A Gale; Brittany M McFeeley; Casey M Nicastri; Kirk R Daffner
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

3.  Chronic Swimming Exercise Ameliorates Low-Soybean-Oil Diet-Induced Spatial Memory Impairment by Enhancing BDNF-Mediated Synaptic Potentiation in Developing Spontaneously Hypertensive Rats.

Authors:  Mei Cheng; Jiyan Cong; Yulong Wu; Jiacun Xie; Siyuan Wang; Yue Zhao; Xiaoying Zang
Journal:  Neurochem Res       Date:  2018-03-24       Impact factor: 3.996

Review 4.  Exercise in Treatment of Migraine Including Chronic Migraine.

Authors:  Tae-Jin Song; Min Kyung Chu
Journal:  Curr Pain Headache Rep       Date:  2021-02-25

Review 5.  Rehabilitation and the Neural Network After Stroke.

Authors:  Norihito Shimamura; Takeshi Katagai; Kiyohide Kakuta; Naoya Matsuda; Kosuke Katayama; Nozomi Fujiwara; Yuuka Watanabe; Masato Naraoka; Hiroki Ohkuma
Journal:  Transl Stroke Res       Date:  2017-07-05       Impact factor: 6.829

Review 6.  Physical Activity, Cognition, and Brain Outcomes: A Review of the 2018 Physical Activity Guidelines.

Authors:  Kirk I Erickson; Charles Hillman; Chelsea M Stillman; Rachel M Ballard; Bonny Bloodgood; David E Conroy; Richard Macko; David X Marquez; Steven J Petruzzello; Kenneth E Powell
Journal:  Med Sci Sports Exerc       Date:  2019-06       Impact factor: 5.411

Review 7.  Promoting brain health through physical activity among adults exposed to early life adversity: Potential mechanisms and theoretical framework.

Authors:  Shannon D Donofry; Chelsea M Stillman; Jamie L Hanson; Margaret Sheridan; Shufang Sun; Eric B Loucks; Kirk I Erickson
Journal:  Neurosci Biobehav Rev       Date:  2021-10-05       Impact factor: 8.989

Review 8.  Effect of Exercise on Major Depressive Disorder and Schizophrenia: A BDNF Focused Approach.

Authors:  Evrim Gökçe; Emel Güneş; Erhan Nalçaci
Journal:  Noro Psikiyatr Ars       Date:  2019-10-15       Impact factor: 1.339

9.  A Critical Systematic Review of Current Evidence on the Effects of Physical Exercise on Whole/Regional Grey Matter Brain Volume in Populations at Risk of Neurodegeneration.

Authors:  Lars G Hvid; Dylan L Harwood; Simon F Eskildsen; Ulrik Dalgas
Journal:  Sports Med       Date:  2021-04-16       Impact factor: 11.136

10.  Recovery-Stress Response of Blood-Based Biomarkers.

Authors:  Sebastian Hacker; Thomas Reichel; Anne Hecksteden; Christopher Weyh; Kristina Gebhardt; Mark Pfeiffer; Alexander Ferrauti; Michael Kellmann; Tim Meyer; Karsten Krüger
Journal:  Int J Environ Res Public Health       Date:  2021-05-27       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.