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J Oral Rehabil. 2020;00:1–8. wileyonlinelibrary.com/journal/joor

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1 | INTRODUCTION

Human saliva contains a variety of molecules that may be used as biomarkers for oral conditions and systemic health conditions.1

Recently, several neuropeptides were successfully detected and analysed in whole and glandular saliva from healthy individuals.2

Neuropeptides are small molecules that are released from neural cells and are commonly used by neurons to communicate with each Received: 9 December 2019 

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  Revised: 20 March 2020 

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  Accepted: 28 March 2020

DOI: 10.1111/joor.12977 O R I G I N A L A R T I C L E

Daytime changes of salivary biomarkers involved in pain

Hajer Jasim

1

 | Bijar Ghafouri

2

 | Anders Carlsson

2

 | Britt Hedenberg-Magnusson

1,3

 |

Malin Ernberg

1

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

© 2020 The Authors. Journal of Oral Rehabilitation published by John Wiley & Sons Ltd

The peer review history for this article is available at https://publo ns.com/publo n/10.1111/joor.12977

1Division of Oral Diagnostics and

Rehabilitation, Department of Dental Medicine, Karolinska Institutet, Scandinavian Center for Orofacial neuroscience (SCON), Huddinge, Sweden

2Division of Community Medicine,

Department of Medical and Health Sciences, Faculty of Health Sciences, Anaesthetics, Operations and Specialty Surgery Center, Linköping University and Pain and Rehabilitation Center, Region Östergötland, Linköping, Sweden

3Folktandvården Stockholms Län AB,

Stockholm, Sweden Correspondence

Hajer Jasim, Division of Oral Diagnostics and Rehabilitation, Department of Dental Medicine, Karolinska Institutet, Scandinavian Center for Orofacial neuroscience (SCON), SE 14104 Huddinge, Sweden.

Email: hajer.jasim@ki.se Funding information

County Council of Stockholm; Karolinska Institutet; Reumatikerförbundet; Public Dental Health in Stockholm; Åke Wiberg Stiftelse; Sveriges Tandläkarförbund; Länsstyrelsen Östergötland

Abstract

The study aimed to investigate salivary levels of nerve growth factor (NGF), brain-de-rived neurotrophic factor (BDNF), substance P (SP) and glutamate at five time points from morning to afternoon in a well-characterised healthy and pain-free individuals. Ten young adults were included. Unstimulated and stimulated whole saliva were col-lected from each participant repeatedly across the day. Blood samples were drawn in connection with the first and last saliva sample as reference standard. Levels of NGF and BDNF were determined using gel-free Western blot technology, glutamate levels were analysed using a colorimetric assay, and SP was determined using a com-mercially available ELISA. Salivary NGF and BDNF showed significant differences between the different collection times in both unstimulated (NGF; P = .006; BDNF;

P = .026) and stimulated whole saliva (NGF; P = .006; BDNF; P = .019). The highest

concentrations of the neuropeptides were expressed in the early morning, and they thereafter decreased across the day. In contrast, the expression of salivary glutamate and SP did not show any significant changes across the day. Plasma levels of NGF were higher in the evening sample (P = .028); otherwise, there were no significant differences for any of the other markers between morning and evening samples. NGF and BDNF in whole saliva showed a significant variation across the day. On the con-trary, no variation in the levels of SP and glutamate was detected. These findings highlight the importance of consistency in the collection time and approach in bio-marker studies using saliva.

K E Y W O R D S

brain-derived neurotrophic factor (BDNF), diurnal variation, glutamate, nerve growth factor (NGF), saliva, substance P

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other. Several neuropeptides are co-released with other neurotrans-mitters. Besides their main function as neurotransmitters, neuro-peptides have a variety of other significant functions.

The neuropeptide brain-derived neurotrophic factor (BDNF) promotes neurogenesis and neural plasticity during brain devel-opment and adulthood.3 Studies have shown an altered

produc-tion and secreproduc-tion of peripheral BDNF in a variety of diseases. Neurodegenerative disorders, such as Alzheimer's and Parkinson's, as well as depression appear to be associated with decreased levels of BDNF.4,5 In addition, BDNF has also been recognised as an

im-portant modulator of nociceptive pathways. A recent study found that serum BDNF is significantly elevated in patients with migraine during migraine attacks.6 Animal studies have indicated a diurnal

endogenous cyclical change in expression of the BDNF receptor in central areas of the brain.7

The first evidence of the presence of diurnal BDNF expression in human circulation emerged a decade ago.8 BDNF was shown to peak

in the morning with a trend of constant decrease during the day. These findings have also been confirmed by later studies.9,10 Tirassa

and co-authors confirmed in women a daily variation in serum and salivary BDNF levels, and further showed relationship between BDNF trend and personality traits.11

Nerve growth factor (NGF) is another neuropeptide that has been quantified in saliva.2,12,13 The release of NGF in the brain and

periphery promotes neural growth and plasticity, in addition to regu-lation of endocrine and immune cell activity.12 It has been suggested

that NGF plays an important role in hyperalgesia as the concentra-tion of the peptide has been found to be increased in many clini-cal pain conditions, such as rheumatoid arthritis, chronic headache and cancer pain.12,14-16 Besides pain conditions, NGF has also been

assumed in behavioural changes and neuropsychiatric disorders af-fected by the endocrine mechanism.15,17 Several studies have

ad-dressed NGF concentration in saliva and plasma2,12-18 but no study

has investigated the NGF secretion across the day in stimulated and unstimulated saliva of healthy individuals.

Other neurotransmitters that have been discussed in pain processing are the amino-acid glutamate and the neuropeptide substance P (SP). They are present in both central and peripheral nerve terminals and released in response to noxious stimulus, and as such have been implicated in different pain conditions.19-21

Salivary glutamate and SP have mainly been analysed earlier in patients with ongoing pain.14,22-24 There are, however, no earlier

studies on the periodicity of either glutamate or SP in healthy individuals.

Salivary glands are integrated into the neuroendocrine system through complex regulatory pathways. The accurate determina-tion of neuropeptides and other neurotransmitters in saliva may therefore be of great interest and provide valuable information for research into pathophysiological mechanism of neurodegener-ative diseases or chronic pain conditions by non-invasive sampling methods. Since there is lack of knowledge regarding the influence of sampling time on the expression of many biomarkers in saliva,

the present study aimed to investigate whether the levels of NGF, BDNF, SP and glutamate in stimulated and unstimulated saliva of healthy participants differ between samples collected at different time points. Based on previous results, we expected that the sali-vary concentration of these neurotransmitters would show variation across the day and that this variation would differ between stimu-lated and unstimustimu-lated saliva.

2 | MATERIALS AND METHODS

2.1 | Participants

Ten healthy participants, with a mean (SD) age of 26.3 ± 3.1 years, were included in the study.

Inclusion criteria were good general health, age ≥ 18 years and body mass index < 30 kg/m2. Participants had also to be free of

fever/or cold and maintain exceptional oral hygiene on the day of collection.

Exclusion criteria were (a) any current pain, (b) diagnosed sys-temic muscular or joint diseases, such as fibromyalgia and rheuma-toid arthritis, (c) whiplash-associated disorder, (d) neurological or neuropsychiatric disorders, (e) pregnancy or lactation, (f) high blood pressure, (g) regular use of medications including oral contracep-tives, (h) use of antidepressants or analgesics during the last week, (i) oral complaints, such as oral dryness or mucosal lesions, (j) partic-ipants with <22 teeth and extensive prosthodontic rehabilitations, (k) poor oral hygiene, hyposalivation, oral diseases, mucosal lesions or extensive dental abrasion and (l) elevated levels of psychological distress.

All participants underwent a careful clinical examination and were asked to fill in validated questionnaires around 1 week prior to the trial as described below. Participants were requested not to eat, drink or brush their teeth at least one hour prior to each saliva collection, and not to consume alcoholic beverages 24 hours prior to collection. They were also instructed to keep a detailed food log 24 hours prior to and during the day of collection. A brief interview was carried out by the examiner (HJ) at the time of collection to en-sure that they had followed the instructions, which all had.

All participants received careful information regarding the ob-jectives and procedures of the study and signed an informed writ-ten consent form before the start of the study. The study was approved by the Regional Ethical Review Board in Stockholm, Sweden (2014/17-31/3) and followed the guidelines according to the Declaration of Helsinki.

2.2 | Questionnaires and clinical examination

Participants were evaluated by the Swedish version of the Diagnostic Criteria for Temporomandibular Disorders (DC/ TMD) axis I and II.25 The evidence-based protocol was used as a

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screening instrument for identification of participants with TMD signs that may not be presented during the interview and general examination. Participants showing clinical signs of TMD (except for disc displacement with reduction, which was considered as normal variation) were excluded from further involvement in the study.

In addition to the DC/TMD examination, the participants under-went an oral examination. During the clinical examination, partici-pants were checked for attrition as a sign of bruxism, decayed teeth, periodontal diseases, pericoronitis, mucosal lesions, oral hygiene and occlusal contacts.

The following brief screening instruments included in the DC/TMD axis II questionnaire were used to measure symptoms of depression, somatisation, anxiety, stress, and jaw function: the Patient Health Questionnaire (PHQ-9 and PHQ-15), the Generalized Anxiety Disorder scale (GAD-7), the Perceived Stress Scale-10 (PSS-10) and the Jaw Functional Limitation Scale (JFLS).

2.3 | Saliva collection

Unstimulated and stimulated whole saliva were collected from all participants. Prior to each saliva collection session, participants were instructed to rinse their mouth with 10 mL of distilled deion-ised water for 30 seconds to remove debris and moisturise the mucosa.

Unstimulated whole saliva was first collected as described earlier by Jasim et al (2016, 2018). In brief, participants were instructed to sit upright with their head slightly titled forward and a polypropyl-ene tube was used to collect saliva during passive drooling. Five min-utes after sampling of unstimulated saliva, stimulated whole saliva was collected using paraffin gum (Orion Diagnostica). For pre-stim-ulation, the participants were instructed to chew the gum until it was smooth and flexible. After 60 seconds of pre-stimulation, the participants were asked to swallow the saliva present in the mouth. Subsequently, whole saliva, stimulated by the same piece of paraffin, was collected for around 3 minutes. Total collection time was re-corded for both sampling methods, and salivary flow was measured (mL/min).

Saliva samples were collected at five times across the same day during the exact same circumstances. Samples were collected at 7:30, 10:30, 13:30, 16:30 and 19:30 hours. All participants were asked to come fasting to the first sample. Between each session, participants were asked to not eat/drink 1 hour prior to sample collection.

To prevent degradation of sensitive peptides, all samples were collected on ice in pre-cooled polypropylene tubes. Immediately after collection a Protease Inhibitor Cocktail (Sigma Aldrich v/v 1:500) was added. All samples were then centrifuged at 1500 × g for 15 minutes at 4°C to remove debris. The supernatant (upper 2/3) of each sample was fractionated into 100 µL aliquots and frozen at −70°C until analyses.

2.4 | Blood collection

After the first and the last saliva sample, venous blood samples were collected in 8.5 mL EDTA PPT tubes (BD Vacutainer® PPT™,

BD) from all subjects. The sample was mixed gently for 1 minute and then immediately placed on ice for maximum 30 minutes. The sam-ples were then centrifuged at 1000 × g for 15 minutes at 4°C, and the upper 2/3 of the plasma was stored as aliquots at −70°C until analysis.

2.5 | Glutamate quantification

The concentration of glutamate was determined essentially as de-scribed previously.26 Briefly, 20 µL saliva or plasma was centrifuged

at 4°C for 5 minutes at 12 000 x g. The supernatant was collected and transferred to a new tube, and 5 µL of it was immediately ana-lysed using an ISCUS Analyser (CMA Microdialysis). The detection limit was 1.0-150 µmol/L.

2.6 | Enzyme-linked immunosorbent assay

SP quantitation was performed by using an enzyme-linked immu-nosorbent assay kit from Enzo Life Sciences (ADI-900-018). Saliva and plasma samples were prepared and analysed according to the manufacturer´s recommendations. The detection limit was 8.04 pg/mL.

2.7 | Capillary isoelectric focusing immunoassay

NGF and BDNF were analysed with a Capillary Isoelectric Focusing (CIEF) immunoassay. Saliva samples were centrifuged to remove de-bris, and the supernatants were extracted to a new tube. The samples were then diluted/buffer-exchanged with Bicine/Chaps and concen-trated and desalted using Amicon® Ultra centrifugal filters (Merck

Millipore). Total protein of saliva was measured with 2D-Quant kit according to the user manual (GE Healthcare). The treated saliva samples were analysed using a size assay molecular weight 1-40 kDa using CIEF with Peggy system (ProteinSimple) according to the user manual. A protein concentration of 0.5 mg/mL was used for analysis of both BDNF and NGF. Antibodies for BDNF (Mouse monoclonal, ab10505) and NGF (Rabbit polyclonal, ab6199) were diluted with an-tibody diluent 1:50 and 1:12.5, respectively (Abcam). All including secondary antibodies were loaded onto a 384-well plate. Proteins were separated in the capillary by applying 250 volts over 42 min-utes, UV immobilisation and incubation with primary antibody were 5 and 30 minutes, respectively. Signal was detected with Luminol and Peroxide and scanned with a CCD camera. A high chemilumi-nescence equals high expression. Negative controls for BDNF and NGF were included in every run. Data generated were analysed in compass software version 3.1.7 (ProteinSimple).

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2.8 | Statistics

The normal distribution of the data was tested with Shapiro-Wilk test. Only substances that were detected in more than half of the samples were included in the statistical analysis. Differences in background variables between males and females in the study were tested with the Mann-Whitney U test since most variables did not show normal distribution. Salivary flow showed a normal distribution why repeated measures analysis of variance (ANOVA) was applied. Bonferroni was used as post hoc test. To analyse the concentrations of neuropeptides in saliva over time, Friedman's ANOVA was used for each substance separately, since these did not show a normal distribution. When significant, post hoc analy-sis with Wilcoxon matched pair test was applied with Bonferroni correction for multiple comparison between time points as well as between unstimulated and stimulated saliva levels at the different time points. Wilcoxon test was also used when analysing differ-ences in plasma concentration between morning and afternoon samples. Correlations between saliva and plasma were tested for statistical significance with Spearman correlation test. Descriptive data are presented as mean ± SD or median and interquartile range (IQR). For all analyses, the significance level was set at P < .05. The statistical analyses were performed using Statistica version 13 (StatSoft).

3 | RESULTS

3.1 | Descriptive data

Descriptive data for the men and women in the study are presented separately in Table 1. Participants included in the study reported no perceived signs of psychological distress. There were no significant differences between sexes in any background variables (P > .05).

3.2 | Salivary flow rate

The secretion rate between collection points differed significantly for both stimulated (F = 6.50; P < .001) and unstimulated saliva (F = 6.84; P < .001) and showed an increasing rate during the day (Table 2). Unstimulated saliva showed higher secretion rate at 19:30 hours compared to the fasting sample at 07:30 hours, while stimulated saliva showed significantly higher flow rate at 16:30 hours compared to 7:30 hours after adjustment for multiple comparison. Salivary flow differed between simulated and unstimulated saliva but was not affected by sex (F = 0.94; P > .6). As there were no sex differences in either background variable or salivary flow rate and the sample size was small, data are further on presented for the group as a whole.

3.3 | Nerve growth factor

NGF was detected as two different isoforms in saliva based on size, described as NGF-1 and NGF-2 (Figure 1). The former had a mol-ecule weight of 33 kDa, while NGF-2 displayed a molecular weight of 60 kDa. The different isoforms were quantified separately.

NGF-1 showed significant differences between the different collection points in both unstimulated and stimulated whole sa-liva. The post hoc test showed that NGF-1 in stimulated saliva was significantly higher in the fasting sample compared to the sample taken at 13:30 hours, but there were no significant differences between collection times in unstimulated saliva after adjustment for multiple comparisons. Neither were there any significant dif-ferences between stimulated and unstimulated saliva samples at any time point.

For NGF-2, there were no significant differences over time, ei-ther for unstimulated or stimulated whole saliva, but the levels in stimulated saliva were significantly higher than in unstimulated sa-liva at all time points (P < .05).

The plasma NGF expression showed a similar tendency to NGF-2 in saliva and was significantly higher expressed in the evening TA B L E 1   Background data of age, anthropometric data,

psychological distress and jaw functional limitations of the healthy participants in the study (n = 10)

Variable Males (n = 5) Females (n = 5) P-value

Age (Years) 26.1 ± 3.2 26.4 ± 3.4 1.000 BMI (kg/m2) 21.5 ± 2.8 21.6 ± 3.6 1.000 Number of teeth 30 (1) 32 (0) .256 PHQ-9 Score 0 (5) 2 (2) .671 PHQ-15 Score 1 (4) 4 (2) .083 GAD-7 Score 0 (2) 1 (3) .449 PSS-10 Score 8 (3) 7 (6) .917 JFLS Score 0 (0) 0 (0) .424

Note: Data are presented as mean (SD) or median (IQR).

Abbreviations: BMI, Body Mass Index; GAD, Generalized Anxiety Disorder; JFLS, Jaw Functional Limitation Scale; n, number of subjects in each group; PHQ, Patient Health Questionnaire; PSS, Perceived Stress Scale.

TA B L E 2   Mean (±SD) salivary flow during collection of unstimulated and stimulated whole saliva at different time points among 10 healthy individuals

Collection time Unstimulated whole saliva mL/min Stimulated whole saliva mL/min 7:30 am 0.217 ± 0.149 1.810 ± 0.905 10:30 am 0.294 ± 0.179 2.106 ± 0.984 1:30 pm 0.338 ± 0.178 2.283 ± 1.080 4:30 pm 0.357 ± 0.211 2.581 ± 1.449b  7:30 pm 0.536 ± 0.321a  2.566 ± 1.450

Note: For both unstimulated and stimulated saliva, the flow rate varied significantly throughout the day (ANOVA, P < .001).

aSignificantly higher than at 7:30 am (Bonferroni test, P < .001). bSignificantly higher than at 7.30 am (Bonferroni test, P < .01).

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compared to in the morning. Evening samples of NGF in plasma and NGF-1 in unstimulated whole saliva correlated significantly (rs = −.833; P < .05). However, there was no significant correlation between saliva types for neither NGF-1 nor NGF-2.

3.4 | Brain-derived neurotrophic factor

Salivary BDNF showed significant differences between the differ-ent collection points in both unstimulated and stimulated whole sa-liva (Figure 1). The highest concentration of the neuropeptide was expressed in stimulated whole saliva during the early morning, and the concentration thereafter significantly decreased throughout the day. Also, unstimulated whole saliva showed higher concentration at 07.30 hours compared to 10.30 hours (P = .007) and 19.30 hours. (P = .011). The expression of BDNF in unstimulated whole saliva was significantly higher than those in stimulated whole saliva at 10:30, 13:30 and 19:30 hours (P < .05).

The expression of BDNF in plasma did not express any signif-icant differences between early morning and evening and did not correlate to saliva. There were further no correlations between stim-ulated and unstimstim-ulated saliva in BDNF expression.

3.5 | Glutamate

The expression of salivary glutamate was relatively constant during the day (Figure 1). Consequently, neither unstimulated nor stimu-lated whole saliva expressed any significant differences between the collection points. However, glutamate levels in unstimulated and stimulated whole saliva showed a moderate correlation at 13:30 hours (rs = .720; P < .05), 16:30 hours (rs = .733; P < .05) and

19:30 hours (rs = .720; P < .05).

Plasma glutamate expression was lower in the morning (44.2 ± 9.9 µmol/L) compared to in the evening (51.4 ± 5.3 µmol/L), with a trend towards significance. There was no significant correla-tion between plasma and saliva levels of glutamate.

3.6 | Substance P

SP expression in unstimulated whole saliva and plasma did not change significantly over time (Figure 1). In stimulated whole saliva, the expression could not be studied accurately due to failure to de-tect the peptide in all samples. There was no significant correlation in SP levels between plasma and unstimulated whole saliva. F I G U R E 1   Salivary (A and B) and plasma (C) expressions of nerve growth factor (NGF), brain-derived neurotrophic factor (D), glutamate (E) and substance P (F) across the day in 10 healthy individuals matched for age and gender. Both stimulated (yellow) and unstimulated (red) saliva were analysed (except for SP due to technical problems). Two isoforms were detected for NGF bases on molecule weight; NGF-1 (A) has a molecule weight of 33 kDa and NGF-2 of 60 kDa (B). NGF-NGF-1 in both unstimulated and stimulated saliva differed across time (P’s = 0.006) and was significantly lower at 13.30 h compared to 7.30 h in stimulated saliva (P = .005). Plasma NGF was higher in the evening compared to in the morning (P = .028). BDNF in unstimulated and stimulated saliva differed across time (P = .026 and P = .019, respectively), but there were no significant differences in plasma. There were no significant differences for salivary SP or glutamate, but plasma glutamate tended to be higher at 19.30 h than 07.30 h (P = .067)

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4 | DISCUSSION

The present study aimed to investigate the variation of salivary NGF, BDNF, SP and glutamate in healthy young adults during awak-ing hours. The main findawak-ings were that salivary NGF and BDNF lev-els, but not glutamate or SP levlev-els, differed across the day and that the levels of NGF-2 and BDNF differed between unstimulated and stimulated saliva. To our knowledge, this is the first study designed to study daytime periodicity of these peptides in both unstimulated and stimulated saliva. Most earlier studies on neuropeptide and other neurotransmitter levels focus mainly on the plasma concentra-tion. Nevertheless, saliva has the advantages such as an easy and non-invasive collection method, and the close relationship between saliva and plasma levels of various substances makes saliva a suitable diagnostic and prognostic fluid.1

In our study, NGF was detected using gel-free Western blot based on capillary electrophoresis technology based on size, and the pre-dicted band sizes were at about 27 and 53 kDa for the dimer of NFG. However, in saliva two notable bands were detected at around 33 and 60 kDa, which indicates expression of both NGF and the dimer of NGF in human saliva. Since NGF goes through several transitions before becoming fully matured,18 multiple bands for salivary NGF

were somehow expected. Indeed, in a previous study from our group five different isoforms of NGF were detected in both unstimulated and stimulated saliva.2 Furthermore, as described earlier, stimulated

whole saliva showed higher concentration of NGF compared to un-stimulated whole saliva.2 Though there are some previous studies

on the salivary and plasma concentration of NGF, there is only one study that have studied the daily variation of the neuropeptide in human plasma samples. Nevertheless, there are no studies on sal-ivary regulation. Bersani et al reported a rhythmic NGF regulation in plasma with higher levels in the morning which decreased in the evening.17 Similar findings were observed for salivary NGF-1 in the

current study. In particular, the morning NGF-1 chemiluminescence in stimulated whole saliva was higher than those measured around noon. The elevated NGF levels in the morning suggest an increased NGF production during the night, similar to what is observed for other endocrine molecules.17,27

The plasma NGF, with similar molecular mass as NGF-2, was higher expressed in the evening compared to in the morning. Since plasma samples were only collected in the morning and evening in connection with the first and last saliva sample, it is difficult to con-clude if salivary NGF completely mirrors the plasma NGF. Further research dealing with simultaneous daytime periodicity of plasma and salivary NGF is needed to reveal such interface.

Several studies have shown that BDNF modulates several neu-ronal activates and influence cell survival, proliferation and mat-uration. BDNF has also been suggested to play an important role modulating synaptic plasticity, and altered secretion of BDNF has been proposed in several diseases.4,5 Experimental animal

stud-ies have shown that the light-darkness cycles may influence BDNF expression by modulating the cerebral circadian pacemaker local-ised in the suprachiasmatic nucleus of the hypothalamus gland.9

Both BDNF mRNA and protein levels in these regions as well as its receptors have been shown to fluctuate rhythmically in the rat central nervous system with peak levels during the dark hours and the lowest levels in the light hours.3,7,9 Several human studies have

also confirmed a systemic circadian variation of BDNF secretion in plasma, with significant decrease throughout the day.8-10 These

fluctuations resemble the cortisol circadian rhythm that allows for speculations that BDND and cortisol may be physiologically co-regulated in order to maintain homeostasis.8 In women, the

am-plitude of the fluctuation has been shown to vary across the men-strual cycle in fertile women and to be reduced in post-menopausal women.10 However, these studies have been conducted on blood

samples. Our study showed that salivary BDNF presents a char-acteristic trend during the day; the highest BDNF expression was detected in the early morning, where after it decreased across the day and had the lowest expression in the evening. These results are in accordance with a previous study measuring BDNF in un-stimulated whole saliva.11 Plasma expression of BDNF was also in

accordance with earlier studies with peak expression in the morn-ing (906 ± 431) and decrease towards the evenmorn-ing (809 ± 376).10,11

The results emphasise a positive interaction between salivary and plasma BDNF.

Salivary glutamate and SP, on the other hand, showed no clear fluctuations across the day. In our previous study, we found that plasma glutamate and SP had higher concentration in plasma com-pared to saliva 2 and that SP exhibit a higher concentration in

unstim-ulated saliva compared to stimunstim-ulated saliva.2,24 A similar tendency

was also observed in the current study population, with higher con-centrations of glutamate and SP in plasma compared to saliva. When comparing the variability between saliva types, it clearly appears that stimulated whole saliva is less variable than unstimulated whole saliva. The latter is far more exposed to external stimuli and more difficult to control.

A strength in our study design was that stimulated and unstim-ulated whole saliva were structurally collected each third hour from ten individuals during the exactly same time and surrounding con-ditions. It was ensured via the anamnesis and the careful oral and dental examination that the participants were healthy. The inclusion criteria were very strict to reduce the influence of external factors on salivary flow and secretion. The participants were also closely related in age and in order to minimise the influence of this factor on the flow rate and peptide expression.28

Nevertheless, our findings should be interpreted within the con-text of certain limitations. For instance, the study was performed in healthy young adults and included a small number of participants, different age groups were not taken into consideration because of the possibility of age-variability29 and the chemiluminescence

and not absolute concentration was measured for NGF and BDNF. Moreover, the female subjects were not screened for menstrual phase cycle, although one earlier study has shown possible influ-ence of sex hormones on BDNF secretion.10 The absence of samples

during the night may have prohibited observations of some import-ant fluctuations affected by the sleep-wake phase. On the other

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hand, the current study was not undertaken to investigate diurnal variation throughout 24 hours. Instead, the intention was to explore if samples collected at different time points differ during a day, that is if sampling time is important to consider in studies exploring sali-vary levels of these biomarkers.

In conclusion, the present study indicated that NGF and BDNF show a dynamic daily variation in saliva, which somehow resemble the fluctuations observed in plasma. It further demonstrated that daily variation may not exist for SP and glutamate. These findings are the first to show salivary fluctuations in secretion of these neu-rotransmitters in healthy individuals. It also emphasise the great significance in clinical and research settings of consistency in the collection time and approach.

ACKNOWLEDGMENTS

This work was supported by the County Council of Stockholm, Karolinska Institutet, Swedish Rheumatism Association, Swedish Dental Society, Public Dental Health in Stockholm, County council of Östergötland and the Åke Wiberg foundation.

CONFLIC T OF INTEREST

The authors declare no conflict of interest. No financial or personal relationships have inappropriately influenced this work.

AUTHOR CONTRIBUTION

AC, BG, BM, HJ and ME designed the experiment. HJ examined and collected the samples. AC and BG performed the analysis. HJ per-formed the statistics. HJ wrote the first draft of the manuscript and prepared figures and tables. All authors wrote and revised the manu-script and approved the final version of the manumanu-script.

ORCID

Hajer Jasim https://orcid.org/0000-0003-2352-8070

Malin Ernberg https://orcid.org/0000-0003-4152-5439

REFERENCES

1. Jasim H, Olausson P, Hedenberg-Magnusson B, Ernberg M, Ghafouri B. The proteomic profile of whole and glandular saliva in healthy pain-free subjects. Sci Rep. 2016;6:39073.

2. Jasim H, Carlsson A, Hedenberg-Magnusson B, Ghafouri B, Ernberg M. Saliva as a medium to detect and measure biomarkers related to pain. Sci Rep. 2018;8(1):3220.

3. Liang FQ, Allen G, Earnest D. Role of brain-derived neurotrophic factor in the circadian regulation of the suprachiasmatic pacemaker by light. J Neurosci. 2000;20(8):2978-2987.

4. Cunha AB, Frey BN, Andreazza AC, et al. Serum brain-derived neu-rotrophic factor is decreased in bipolar disorder during depressive and manic episodes. Neurosci Lett. 2006;398(3):215-219.

5. Ikeda Y, Yahata N, Ito I, et al. Low serum levels of brain-derived neurotrophic factor and epidermal growth factor in patients with chronic schizophrenia. Schizophr Res. 2008;101(1–3):58-66. 6. Fischer M, Wille G, Klien S, et al. Brain-derived neurotrophic factor

in primary headaches. J Headache Pain. 2012;13(6):469-475. 7. Dolci C, Montaruli A, Roveda E, et al. Circadian variations in

ex-pression of the trkB receptor in adult rat hippocampus. Brain Res. 2003;994(1):67-72.

8. Begliuomini S, Lenzi E, Ninni F, et al. Plasma brain-derived neuro-trophic factor daily variations in men: correlation with cortisol cir-cadian rhythm. J Endocrinol. 2008;197(2):429-435.

9. Choi SW, Bhang S, Ahn JH. Diurnal variation and gender differences of plasma brain-derived neurotrophic factor in healthy human sub-jects. Psychiatry Res. 2011;186(2–3):427-430.

10. Pluchino N, Cubeddu A, Begliuomini S, et al. Daily variation of brain-derived neurotrophic factor and cortisol in women with nor-mal menstrual cycles, undergoing oral contraception and in post-menopause. Human Reprod. 2009;24(9):2303-2309.

11. Tirassa P, Iannitelli A, Sornelli F, et al. Daily serum and sali-vary BDNF levels correlate with morning-evening personality type in women and are affected by light therapy. Riv Psichiatr. 2012;47(6):527-534.

12. Nam JW, Chung JW, Kho HS, Chung SC, Kim YK. Nerve growth factor concentration in human saliva. Oral Dis. 2007;13(2):187-192. 13. Komatsu K, Hasegawa H, Honda T, Yabashi A, Kawasaki T. Nerve

growth factor in saliva stimulated by mastication. Oral Sci Int. 2008;5(2):78-84.

14. Jang MU, Park JW, Kho HS, Chung SC, Chung JW. Plasma and sa-liva levels of nerve growth factor and neuropeptides in chronic mi-graine patients. Oral Dis. 2011;17(2):187-193.

15. Laurent HK, Laurent SM, Granger DA. Salivary nerve growth factor reactivity to acute psychosocial stress: a new frontier for stress re-search. Psychosom Med. 2013;75(8):744-750.

16. Wong H, Kang I, Dong XD, et al. NGF-induced mechanical sensitiza-tion of the masseter muscle is mediated through peripheral NMDA receptors. Neuroscience. 2014;269:232-244.

17. Bersani G, Iannitelli A, Massoni E, et al. Ultradian variation of nerve growth factor plasma levels in healthy and schizophrenic subjects. Int J Immunopathol Pharmacol. 2004;17(3):367-372.

18. Naesse EP, Schreurs O, Messelt E, Hayashi K, Schenck K. Distribution of nerve growth factor, pro-nerve growth factor, and their recep-tors in human salivary glands. Eur J Oral Sci. 2013;121(1):13-20. 19. Castrillon EE, Ernberg M, Cairns BE, et al. Interstitial glutamate

con-centration is elevated in the masseter muscle of myofascial temporo-mandibular disorder patients. J Orofac Pain. 2010;24(4):350-360. 20. Rosendal L, Larsson B, Kristiansen J, et al. Increase in muscle

no-ciceptive substances and anaerobic metabolism in patients with trapezius myalgia: microdialysis in rest and during exercise. Pain. 2004;112(3):324-334.

21. Shimada A, Castrillon EE, Baad-Hansen L, et al. Increased pain and muscle glutamate concentration after single ingestion of monoso-dium glutamate by myofascial temporomandibular disorders pa-tients. Eur J Pain. 2016;20(9):1502-1512.

22. Greco R, Tassorelli C, Sandrini G, Di Bella P, Buscone S, Nappi G. Role of calcitonin gene-related peptide and substance P in different models of pain. Cephalalgia. 2008;28(2):114-126.

23. Parris WC, Kambam JR, Naukam RJ, Rama Sastry BV. Immunoreactive substance P is decreased in saliva of patients with chronic back pain syndromes. Anest Analg. 1990;70(1):63-67. 24. Nam JH, Lee HS, Kim J, Kim J, Chu MK. Salivary glutamate

is elevated in individuals with chronic migraine. Cephalalgia. 2017;38(8):1485-1492.

25. Schiffman E, Ohrbach R, Truelove E, et al. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for clinical and re-search applications: recommendations of the International RDC/ TMD Consortium Network* and Orofacial Pain Special Interest Groupdagger. J Oral Facial Pain Headache. 2014;28(1):6-27. 26. Gerdle B, Larsson B, Forsberg F, et al. Chronic widespread pain:

in-creased glutamate and lactate concentrations in the trapezius mus-cle and plasma. Clin J Pain. 2014;30(5):409-420.

27. Sei H, Saitoh D, Yamamoto K, Morita K, Morita Y. Differential effect of short-term REM sleep deprivation on NGF and BDNF protein levels in the rat brain. Brain Res. 2000;877(2):387-390.

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28. Fleissig Y, Reichenberg E, Redlich M, et al. Comparative proteomic analysis of human oral fluids according to gender and age. Oral Dis. 2010;16(8):831-838.

29. Prodan A, Brand HS, Ligtenberg AJ, et al. Interindividual vari-ation, correlations, and sex-related differences in the sal-ivary biochemistry of young healthy adults. Eur J Oral Sci. 2015;123(3):149-157.

How to cite this article: Jasim H, Ghafouri B, Carlsson A, Hedenberg-Magnusson B, Ernberg M. Daytime changes of salivary biomarkers involved in pain. J Oral Rehabil. 2020;00:1–8. https://doi.org/10.1111/joor.12977

References

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