Next Article in Journal
MicroRNAs as Useful Tools to Estimate Time Since Death. A Systematic Review of Current Literature
Next Article in Special Issue
Salivary Inflammatory Molecules as Biomarkers of Sleep Alterations: A Scoping Review
Previous Article in Journal
PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction
Previous Article in Special Issue
Comparison of Periodontopathic Bacterial Profiles of Different Periodontal Disease Severity Using Multiplex Real-Time Polymerase Chain Reaction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Application of Salivary Biomarkers in the Diagnosis of Fibromyalgia

by
Rebeca Illescas-Montes
1,2,
Víctor J. Costela-Ruiz
1,2,
Lucía Melguizo-Rodríguez
1,2,
Elvira De Luna-Bertos
1,2,
Concepción Ruiz
1,2,3,* and
Javier Ramos-Torrecillas
1,2
1
Biomedical Group (BIO277), Department of Nursing, Faculty of Health Sciences, University of Granada, 18016, Granada, Spain
2
Instituto Investigación Biosanitaria, ibs.Granada, University of Granada, 18016 Granada, Spain
3
Institute of Neuroscience, University of Granada, 18016 Granada, Spain
*
Author to whom correspondence should be addressed.
Diagnostics 2021, 11(1), 63; https://doi.org/10.3390/diagnostics11010063
Submission received: 5 December 2020 / Revised: 23 December 2020 / Accepted: 30 December 2020 / Published: 3 January 2021

Abstract

:
Fibromyalgia (FM) is a highly prevalent syndrome that impairs the quality of life of the patients; however, its diagnosis is complex and mainly centered on pain symptoms. The study of salivary biomarkers has proven highly useful for the diagnosis and prognosis of numerous diseases. The objective of this review was to gather published data on the utilization of salivary biomarkers to facilitate and complement the diagnosis of FM. Salivary biomarkers used in FM diagnosis include cortisol; calgranulin; and the enzymes α-amylase, transaldolase, and phosphoglycerate mutase. Increased serum levels of C-reactive protein, cytokines interleukin 1-β, interleukin 6, interleukin 8, interleukin 10, interleukin 17, tumor necrosis factor α, and various chemokines may serve as salivary biomarkers, given observations of their increased serum levels in patients with FM. Further research is warranted to study in depth the role and performance of biomarkers currently used in FM diagnosis/prognosis and to identify novel salivary biomarkers for this disease.

Graphical Abstract

1. Introduction

Fibromyalgia (FM) is a multifactorial disease that involves the immune-neuroendocrine axis and is typically associated with generalized musculoskeletal pain, pain on digital palpation at “tender points”, lethargy, sleep disorders, anxiety, and/or depression. The severity of symptoms can vary considerably over the course of the disease. FM is not life-threatening and does not have physical sequelae; however, it can severely impair quality of life. It is currently considered a syndrome of unknown etiology, although various causative factors have been proposed, including infection, physical trauma, emotional shock, stress, and even genetics [1,2].
The diagnosis of FM is complex because it has no specific biochemical, imaging, or pathological features. It is usually based on the results of anamnesis and physical examination and obtained by ruling out other diseases. However, involvement of the immune-neuroendocrine axis in this syndrome has prompted study of the diagnostic/prognostic value of different biomarkers [3,4,5]. Information on the biomolecules present in body tissues and fluids contributes to the diagnosis and prognosis of almost all known diseases. Saliva is an especially useful source of clinical data because it can be readily and non-invasively collected [6,7,8].
The objective of this study was to explore available data on the usefulness of different salivary biomarkers for the diagnosis and/or prognosis of FM.

2. Fibromyalgia

FM is the term used to refer to a condition in which the main symptom is generalized chronic musculoskeletal pain that cannot be otherwise explained. It appears to be increasingly prevalent, especially in developed countries; however, it is a complex syndrome associated with multiple symptoms, and its diagnosis is challenging [9,10].
The characteristic symptom of generalized pain has been attributed to an anomalous pain perception caused by an alteration of central nervous system and sensory processing and in which the sensitivity of nociceptors changes, with increased excitability and reduced inhibition. This phenomenon has been related to changes in the levels of neurotransmitters, with the inhibition of endorphins, adrenalin, serotonin, endocannabinoids, or glycine and the promotion of glutamate, aspartate, P substance, or neurokinins, among others. Exposure to stress increases the risk of chronic pain, mainly due to changes in the neuroendocrine and autonomic nervous systems [11]. Immune system alterations can also contribute to generalized pain by inducing an inflammatory state [12].
The chronic pain in FM patients often varies according to the time of the day, the level of activity, and the weather, and it can be exacerbated by a lack of sleep or high level of stress. FM has been associated with a wide range of heterogeneous symptoms, including tiredness; sleeping disorders; anxiety; depression; poor tolerance to effort; generalized stiffness, especially on awakening; diffuse inflammation on hands and feet; hand tingling; irritable bowel syndrome; abdominal pain/swelling; mouth/eye dryness; urinary disorders; cognitive impairment; headache; and, among women, menstrual pain [13]. Patients with FM frequently report physical or psychological trauma in their past [14], and stress and psychological factors have been implicated in the onset and severity of this disease [11].
Various studies have evidenced the strong association between FM and psychiatric diseases such as anxiety (e.g., panic attacks) or depression [11,14,15,16]. Somatization has been described in a subgroup of FM patients with multiple symptoms unrelated to the disease and with more psychiatric comorbidities [13,17,18]. In this sense, therapies aimed at the management of stress, such as mindfulness-based stress reduction, show an improvement in some of the main symptoms of fibromyalgia and a reduction in the subjective burden of disease [19].
Inflammation is another important clinical symptom of FM. It results from the presence and activity of inflammatory mediators such as proinflammatory cytokines, reactive oxygen species, and plasma-derived inflammatory factors, which may be related to various comorbidities associated with the disease [12,20].
The etiology of FM remains poorly understood, and genetic, environmental (infections, traumas), hormonal, neural, and immunological factors have been implicated, as well as the presence or history of other autoimmune diseases such as arthritis, hypothyroidism, lupus, or Sjögren’s syndrome [1,2,12,20,21,22,23]. The syndrome is designated primary FM when a there is a single disorder and concomitant FM when associated with other diseases [2,24,25]. The co-presence of FM with other clinical conditions has led some authors to claim that FM cannot be diagnosed by ruling out other diseases [26].
FM is much more frequently detected in women than in men (ratio of 12:1), and the highest incidence is observed between the ages of 40 and 60 years [14,27,28]. The prevalence of FM is estimated at 2–4% but varies among countries, regions, and even between urban and rural areas.
Clinical criteria established by the American College of Rheumatology for a diagnosis of FM include a history of unexplained pain for >3 months, combining the generalized pain index (GPI) and the symptomatic severity scale (SS). The GPI measures the number of painful areas from a list of 19, and the SS evaluates fatigue, morning tiredness, cognitive symptoms, and the number of somatic signs [29,30]. However, novel diagnostic strategies are required to complement the current diagnostic procedure, including biomarkers for the differential diagnosis with other conditions that share non-specific symptoms, such as rheumatic polymyalgia, spondylarthritis, inflammatory myopathy, systemic inflammatory arthropathy, and hypothyroidism, among others. The selection of biomarkers should consider four key FM-related factors: pain, emotional stress, oxidative stress, and inflammation.

3. Salivary biomarkers in FM

The main salivary biomarkers used for FM diagnosis/prognosis are cortisol; calgranulin; and the enzymes α-amylase, transaldolase, and phosphoglycerate mutase 1 (PGM1) (Table 1).

3.1. Cortisol

Cortisol is a steroidal hormone synthesized from cholesterol, mainly in the suprarenal cortex. Its synthesis is regulated by the hypothalamic–pituitary–adrenal (HPA) axis. In this way, the hypothalamus releases corticotropin-releasing hormone (CRH), which interacts with CRH receptor 1 located in the adenohypophysis, thereby triggering the stimulation and consequent synthesis and release of adrenocorticotropic hormone (ACTH). Finally, the action of ACTH on the fascicular area of the suprarenal cortex augments low-density cholesterol and lipoprotein and increases the activity of cholesterol desmolase, which is responsible for converting cholesterol into pregnenolone, the precursor of steroidal hormones such as cortisol [51,52]. The final cortisol transformation takes place in mitochondrial cytochrome P450, executed by 11ß-hydroxylase (CYP11B1), where 11-deoxycortisol is 11ß-hydroxylated, generating the active form of cortisol [53]. Given that cortisol is a lipid molecule, it binds in the blood to transporting globulin binding proteins (GBPs) and, in a lesser proportion, to albumin; consequently, it circulates in its inactive form, and only 5% of cortisol is present as a free fraction in its bioactive form [54].
The best-known function of cortisol in the organism is the regulation of stress when the sympathetic nervous system activates the synthesis of cortisol and other hormones to maintain a state of alertness [55]. It has also been attributed with different actions on the immune response and metabolism regulation [52,56]. Cortisol is also responsible for increasing the availability of blood glucose by gluconeogenesis [57].
Cortisol has been widely analyzed as biomarker in various diseases, with the measurement of free cortisol levels in serum, saliva, hair, or urine [55,58,59,60]. Salivary cortisol is considered valid for research and clinical purposes and has the advantage of being readily sampled in a non-invasive manner [61].
As noted above, the etiopathology of FM mainly comprises fatigue, pain, cognitive impairment, and stress [21]. Specifically, a direct relationship has been reported between the primary neuroendocrine response and stress response regulation by cortisol segregation, among others [31]. In this line, Fischer et al. related diurnal fluctuations in salivary cortisol fluctuations to the presence of pain, which was in turn associated with peaks of increased stress in patients diagnosed with FM [33]. Likewise, a direct relationship was found in women with FM between salivary cortisol levels and the presence of depression [36]. It has been observed that the clinical manifestations in the early stages of FM can trigger a greater release of cortisol in comparison to healthy individuals [31,32,62]. For this reason, relaxation and massage therapies have been proposed to reduce pain and stress with the aim of modulating cortisol levels [34,35]. However, some authors detected an anomalous reduction in HPA axis activity at some time after the diagnosis of FM [63], producing hypocortisolism in the patients [37]. Similarly, a meta-analysis of 28 studies comparing saliva, serum, and urine cortisol levels between women with FM and healthy women confirmed a relationship between low cortisol levels and FM due to alterations in HPA axis function [38]. The reduction in salivary cortisol levels was found to be greater with longer duration of the disease [39]. This decrease in cortisol has been described as a possible adaptation to the chronic stress generated by the constant pain endured by the patients [37,40,62].
Various studies have proposed salivary cortisol as FM biomarker; however, it should be taken into account that salivary cortisol levels can be elevated in initial stages of FM, and low level in chronic cases, especially in patients experiencing increased stress.

3.2. Enzymes

Various enzymes have been proposed as diagnostic biomarkers after observations of their changed expression in patients with FM, including α-amylase, transaldolase, and PGM1.

3.2.1. α-Amylase

The biological function of this enzyme of the glycoside hydrolase family is to catalyze the hydrolysis of α-glycosidic bonds of high molecular weight polysaccharides such as starch. It is secreted by various tissues, more abundantly in pancreatic juice and in saliva, being one of the most important salivary enzymes. Besides its function in digestion, salivary α-amylase (sAA) is secreted by acinar cells of the salivary glands in response to stimuli of the autonomous nervous system, specifically the sympathetic nervous system [64].
As noted above, stress plays a major role in the physiopathological mechanism of FM. Both the HPA axis and the sympathetic–adrenal–medullary (SAM) axis are physiological mechanisms triggered by stress, and the latter axis also acts by releasing neurohormones [11]. The onset and development of some mental disorders have been related to dysfunctions of these axes [65]. There is increased interest in sAA as an adrenergic biomarker synthesized by stimulation of the SAM axis in response to stress, and various authors have demonstrated a relationship between the stimulation of adrenergic receptors and the secretion of sAA [66,67,68].
Several studies have described significantly increased sAA levels in patients with FM [33,41,42,43]. However, these levels are influenced by the timing of the sampling, which may act as a confounding factor [44]. For instance, Martínez et al. observed higher sAA values in samples gathered from FM patients at midday and night than in those collected in the morning, while values at all three times were above the normal range [42]. This may explain the variability in published results and the finding by some authors of no significant relationship among sAA level, pain, and stress in patients with FM [33]. However, attempts to reduce α-amylase levels in these patients with stress-control strategies using music therapies or physical activities have proven unsuccessful [69,70].
Stress is known to exacerbate pain and vice versa. Ahmadi-Motamayel et al. and Vahedi et al. both found a correlation between pain intensity and sAA level, suggesting that this could be a good biomarker to quantify pain intensity [45,46]. However, Fischer et al. evaluated sAA levels as an indicator of stress-sensitive systems, measuring momentary stress and pain levels and gathering saliva samples at the same time daily for 14 days from 32 women with FM [33]. They found that the relationship between momentary stress and pain was mediated by cortisol but not by α-amylase.
In summary, sAA can be considered as a non-invasive biomarker that can be useful, alongside cortisol, to evaluate the functioning of HPA and SAM axes in response to stress in patients with FM. However, further studies are required to fully elucidate their involvement in symptom modulation and disease development.

3.2.2. Transaldolase

This homodimeric enzyme participates in the pentose phosphate pathway, and its main function is to generate nicotinamide adenine dinucleotide phosphate (NADPH) and five-carbon sugars used to synthesize nucleotides and nucleic acids [71].
In both two-dimensional electrophoresis (2-DE) and Western blot studies, Bazzichi et al. observed transaldolase overexpression in women with FM [47]. This significant increase in expression may be due to increased oxidative stress at tissue level in patients with FM. This can involve glutathione, a protective agent against oxidative stimuli, in whose metabolism NADPH actively participates for its functional recovery [72,73]. Bazzichi et al. constructed receiver operating characteristic curves to assess the diagnostic accuracy of their results and capacity to discriminate between healthy individuals and FM patients, concluding that transaldolase is a useful biomarker of this disease [47]. Thermal treatments (balneotherapy or mud therapy) had no effect on transaldolase expression in women with FM [49], although these therapies act to reduce oxidative stress by increasing the concentration of antioxidants such as coenzyme Q10- CoQ (10-OX) and alpha-tocopherol [74].
Ciregia et al. confirmed the increase in transaldolase expression in a 2-DE study of patients with FM, although this expression did not differentiate between FM and migraine [48].

3.2.3. Phosphoglycerate mutase 1

This widely distributed intracellular protein, with a molecular weight of ≈29kDa, participates in the glycolysis metabolic pathway, which generates ATP from the oxidation of a glucose molecule. PGM1 acts in this pathway by catalyzing the interconversion of monophosphoglycerates (3-phosphoglycerate to 2-phosphoglycerate) [75].
Bazzichi et al. used ELISA and Western blot techniques to demonstrate overexpression of PGM1 in patients with FM [47]. This enzyme was studied by Ciregia et al. in saliva from healthy individuals, migraine sufferers, patients with rheumatoid arthritis, and patients diagnosed with FM, employing ELISA and 2-DE techniques [48]. According to the results, PGM1 is a good biomarker of FM but is also increased in patients with migraine. The expression of PGM1 was markedly decreased in patients with FM after 12 weeks of mud-balneotherapy, unlike the expression of transaldolase [49].

3.3. Calgranulin

The name of these proteins of the S100 family reflect their capacity to dissolve in a saturated ammonium sulfate solution [76]. Calgranulin A and calgranulin C, also known as S100A8 and S100A12 proteins, respectively, have been proposed as diagnostically useful for FM [77,78]. Both proteins are secreted by neutrophils, monocytes, and macrophages, and their functions include the regulation of inflammatory processes, favoring the secretion of proinflammatory cytokines, reactive oxygen species, and nitric oxide; they can also modulate cell proliferation, differentiation, and apoptosis and maintain calcium homeostasis and cytoskeleton, and they possess antimicrobial properties [77,78,79,80,81].
Bazzichi et al. used the 2-DE technique to reveal overexpression of calgranulin A and C in patients with FM in comparison to healthy individuals [47]. These results were verified in a mass spectrometry study by Giacomelli et al., finding increased levels of both biomarkers in the saliva of patients with FM. This increase was attributed to a possible protective role of these molecules against oxidative stress [50].

3.4. Other Biomolecules

The expression of other biomolecules is increased in FM, but their role in the physiopathology of this disease has not been elucidated. This is the case of cyclophilin A, which is involved in the correct folding of other proteins through its peptidylprolyl isomerase enzymatic activity. It is known that cyclophilin A can be secreted by smooth muscle cells and macrophages in response to oxidative stress, which may explain its overexpression in women with FM [82,83]. Other molecules overexpressed in women with FM include Rho GDP-dissociation inhibitor 2, which regulates cell morphology and the motility of non-transformed cells [84]; proteasome subunit-α-type-2, which is related to the proteolysis of most intracellular proteins [85]; and haptoglobin-related protein precursor, related to the innate immune response [86], although its mechanism of action remains unknown.

4. Potential Salivary Biomarkers in FM

Various candidate FM biomarkers have been studied in serum or plasma but not in saliva, despite the multiple advantages of this matrix [6,7]. Among these, C-reactive protein (CRP) and different cytokines have demonstrated high diagnostic potential for this disease (Table 2).
We highlight the role of mast cells in the secretion of some of these cytokines and in the development of mechanisms to increase their levels in FM. Mast cells from the thalamic area secrete interleukin (IL)-6 and tumor necrosis factor (TNF), mediators that activate microglia in the thalamus nucleus or ascending nociceptive pathways, generating the sensation of pain [87].

4.1. C-reactive Protein

This globulin of the pentraxin family [108] is mainly synthesized and secreted by hepatocytes due to an increase in proinflammatory cytokines (e.g., IL-6, IL-1, and TNF-α) in response to acute and chronic inflammatory processes. CRP has demonstrated diagnostic and prognostic value in various diseases [109] and has been found to provide information on the inflammatory status of patients with FM, being proposed as a biomarker of this disease [88,89,90,110]; however, its role in FM is poorly understood.

4.2. Cytokines

Cytokines play a major role in physiological mechanisms in the majority of organs and systems, including the immune system [111]. Imamura et al. described the role of certain cytokines in FM [91], and Wallace et al. associated their action with the onset of FM-related symptoms, especially chronic pain [92]. Some hypotheses on the mechanisms underlying the effect of this disease on the central and peripheral nervous system propose that interleukins and their role in nociception are determinant factors in the development and persistence of FM [87]. The following cytokines have been studied in different fluids in relation to FM: IL-1 β, IL-6, IL-8, IL-10, IL-17, TNF-α [112], and various chemokines.

4.2.1. IL-1 β

This cytokine is considered an important mediator in the inflammatory response. In the central nervous system, macrophages and monocytes in microglia are responsible for IL-1 β production and secretion [113]. It participates in numerous cell mechanisms, including proliferation, apoptosis, and differentiation. Account should be taken of the role of the IL-1 family in the differentiation of Th-17 cells, which are involved in numerous autoimmune and chronic inflammatory diseases [114]. Elevated levels of IL-1 β [91] and IL-1 Receptor antagonist [97] have been reported in serum from patients with FM and increased levels of IL-1 β in skin samples [95], although no relationship between IL-1 β levels and FM was found by other authors [92,93,94,96]. Likewise, Cê et al. did not observe altered IL-1 β salivary levels in patients with fibromyalgia [115].

4.2.2. IL-6

This important proinflammatory cytokine is produced by numerous cell lines and is related to a wide range of physiological processes, autoimmune diseases, and neoplasms [116,117]. IL-6 is involved in the onset and persistence of pain, and elevated levels have been found in patients with chronic pathological pain [118,119]. Many studies have described increased serum/plasma IL-6 levels in FM patients [5,91,96,97,98,99], and these have even been correlated with the intensity of pain [100]. Elevated levels of this biomolecule have also been observed in skin biopsies from FM patients [95] and in their peripheral blood mononuclear cells [92], which was found to be related to hyperalgesia, fatigue, and depression. Geiss et al. described increased IL-6 levels with the stimulation of pressure pain thresholds at tender points in women with FM and associated these levels with the pain and fatigue reported by the patients [101]. However, the mechanism of action of this biomolecule in FM is not well understood.

4.2.3. IL-8

This inflammatory cytokine is produced by a wide range of cell types and is most frequently secreted in response to inflammatory stimuli [120,121]. The presence of this inflammatory biomolecule in the serum of FM patients is well documented [91,92,96,102,103]. In addition, IL-8 levels have been related to reflex sympathetic pain [92] and to the severity and development of pain [5,104]. Kadetoff et al. found elevated IL-8 levels in the serum and cerebrospinal fluid of FM patients [93]. Although Kutu et al. found no significant differences in serum IL-8 levels between FM patients and controls, these levels were related to the severity of pain [94].

4.2.4. IL-10

This anti-inflammatory cytokine inhibits the production of proinflammatory cytokines such as interferon-γ (IFN-γ), TNF-α, IL-1β, and IL-6 in various cell types [122,123]. The detection of elevated IL-10 levels in the serum of FM patients led to its proposal as an FM biomarker [91,102,105,106], although some authors found no relationship between levels of this cytokine and FM [92].

4.2.5. IL-17

This pro-inflammatory cytokine is produced by Th-17 cells and participates in inflammatory processes, promoting the production of chemokines and granulocyte colony-stimulating factors and mobilizing immune cells to infection sites [112,124]. Elevated serum levels of this cytokine have been widely reported in FM patients [99,106], and some authors have related its presence to characteristic symptoms of the disease, such as anxiety [125] and pain [126].

4.2.6. TNF-α

This proinflammatory cytokine has an important function in acute and chronic inflammatory processes [112], and TNF receptor 1 plays a key role in nociceptive signaling [11,127]. Elevated TNF-α levels in sera [96,98,102,105,106] or skin biopsies [95] have been related to the presence of FM, although other authors found no significant differences in serum TNF-α levels between FM patients and controls [91,92,94]. However, Kutu et al. found a positive correlation between TNF-α levels and pain severity [94].

4.2.7. Chemokines

These cytokines actively intervene in cell migration in response to various stimuli. They are classified into four categories according to their functional capacity and the receptor family with which they interact (CC, CXC, CX3C, or XC). Chemokines participate in pain modulation and regulation via direct mechanisms related to neuron activation or via indirect mechanisms related to leukocyte activation [128]. Chemokines therefore have an important role in peripheral and central sensitization by activating nerve cells of both central and peripheral nervous systems. This phenomenon may help to explain the participation of chemokines in FM pathogenesis, given that higher serum chemokine levels have been observed in patients with FM than in healthy individuals [12,92,107,111,129].

5. Conclusions

In conclusion, salivary levels of various biomarkers are known to change in the presence of FM and can therefore be useful for its diagnosis as a complement to clinical findings. These biomarkers include cortisol, calgranulin, and the enzymes α-amylase, transaldolase, and PGM1, which have been related to characteristic FM symptoms of stress, pain, and oxidative stress. Other inflammation-related markers are elevated in the serum of patients with FM and are proposed as potential salivary biomarkers of this disease, with the clinical advantages of saliva as sample matrix. Further in-depth study of known biomarkers of FM is needed, and continued research efforts are warranted to identify novel and reliable salivary biomarkers.

Author Contributions

Conceptualization, R.I.-M., J.R.-T., and C.R.; database analysis, V.J.C.-R., L.M.-R., and E.D.L.-B.; writing—original draft preparation, R.I.-M., J.R.-T., C.R., V.J.C.-R., L.M.-R., and E.D.L.-B.; writing—review and editing, R.I.-M., J.R.-T., and C.R..; supervision, R.I.-M., J.R.-T., and C.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

This study was supported by research group BIO277 (Junta de Andalucía) and Department of Nursing (University of Granada).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Smith, S.B.; Maixner, D.W.; Fillingim, R.B.; Slade, G.; Gracely, R.H.; Ambrose, K.; Zaykin, D.V.; Hyde, C.; John, S.; Tan, K.; et al. Large Candidate Gene Association Study Reveals Genetic Risk Factors and Therapeutic Targets for Fibromyalgia. Arthritis Rheum. 2012, 64, 584–593. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Borchers, A.T.; Gershwin, M.E. Fibromyalgia: A Critical and Comprehensive Review. Clin. Rev. Allergy. Immunol. 2015, 49, 100–151. [Google Scholar] [CrossRef] [PubMed]
  3. McLean, S.A.; Williams, D.A.; Harris, R.E.; Kop, W.J.; Groner, K.H.; Ambrose, K.; Lyden, A.K.; Gracely, R.H.; Crofford, L.J.; Geisser, M.E.; et al. Momentary Relationship between Cortisol Secretion and Symptoms in Patients with Fibromyalgia. Arthritis Rheum. 2005, 52, 3660–3669. [Google Scholar] [CrossRef] [PubMed]
  4. Ruggiero, V.; Era, B.; Cacace, E.; Molin, L.; Corda, M.; Fais, A.; Utzeri, S. A Preliminary Study on Serum Proteomics in Fibromyalgia Syndrome. Clin. Chem. Lab. Med. (CCLM) 2014, 52, e207–e210. [Google Scholar] [CrossRef] [Green Version]
  5. Mendieta, D.; De la Cruz-Aguilera, D.L.; Barrera-Villalpando, M.I.; Becerril-Villanueva, E.; Arreola, R.; Hernández-Ferreira, E.; Pérez-Tapia, S.M.; Pérez-Sánchez, G.; Garcés-Alvarez, M.E.; Aguirre-Cruz, L.; et al. IL-8 and IL-6 Primarily Mediate the Inflammatory Response in Fibromyalgia Patients. J. Neuroimmunol. 2016, 290, 22–25. [Google Scholar] [CrossRef]
  6. Lee, Y.-H.; Wong, D.T. Saliva: An Emerging Biofluid for Early Detection of Diseases. Am. J. Dent. 2009, 22, 241–248. [Google Scholar]
  7. Zhang, C.-Z.; Cheng, X.-Q.; Li, J.-Y.; Zhang, P.; Yi, P.; Xu, X.; Zhou, X.-D. Saliva in the Diagnosis of Diseases. Int. J. Oral Sci. 2016, 8, 133–137. [Google Scholar] [CrossRef] [Green Version]
  8. Melguizo-Rodríguez, L.; Costela-Ruiz, V.J.; Manzano-Moreno, F.J.; Ruiz, C.; Illescas-Montes, R. Salivary Biomarkers and Their Application in the Diagnosis and Monitoring of the Most Common Oral Pathologies. Int. J. Mol. Sci. 2020, 21, 5173. [Google Scholar] [CrossRef]
  9. Laroche, F. Fibromyalgia. Rev. Prat. 2019, 69, 649–651. [Google Scholar]
  10. Marques, A.P.; Santo, A.; Santo, A.d.S.d.E.; Berssaneti, A.A.; Matsutani, L.A.; Yuan, S.L.K. Prevalence of Fibromyalgia: Literature Review Update. Rev. Bras. Reumatol. Engl. Ed. 2017, 57, 356–363. [Google Scholar] [CrossRef]
  11. Sluka, K.A.; Clauw, D.J. Neurobiology of Fibromyalgia and Chronic Widespread Pain. Neuroscience 2016, 338, 114–129. [Google Scholar] [CrossRef] [PubMed]
  12. Benlidayi, I.C. Role of Inflammation in the Pathogenesis and Treatment of Fibromyalgia. Rheumatol. Int. 2019, 39, 781–791. [Google Scholar] [CrossRef] [PubMed]
  13. Williams, T.E.; Chalder, T.; Sharpe, M.; White, P.D. Heterogeneity in Chronic Fatigue Syndrome—Empirically Defined Subgroups from the PACE Trial. Psychol. Med. 2017, 47, 1454–1465. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Martini, A.; Schweiger, V.; Del Balzo, G.; Sartori, G.; Parolini, M.; Chinellato, E.; Sarzi-Puttini, P.; Polati, E. Epidemiological, Pharmacological and Sociodemographic Characterisation of a Population of 386 Fibromyalgic Patients Referred to a Tertiary Pain Centre in Italy. Clin. Exp. Rheumatol. 2019, 37 (Suppl. S116), 27–38. [Google Scholar]
  15. Fietta, P.; Fietta, P.; Manganelli, P. Fibromyalgia and Psychiatric Disorders. Acta Biomed. 2007, 78, 88–95. [Google Scholar]
  16. Loganathan, M.; Ladani, A.; Lippmann, S. Fibromyalgia, Sjogren’s & Depression: Linked? Postgrad. Med. 2020, 132, 575–580. [Google Scholar] [CrossRef]
  17. Wilson, A.; Hickie, I.; Hadzi-Pavlovic, D.; Wakefield, D.; Parker, G.; Straus, S.E.; Dale, J.; McCluskey, D.; Hinds, G.; Brickman, A.; et al. What Is Chronic Fatigue Syndrome? Heterogeneity within an International Multicentre Study. Aust. N. Z. J. Psychiatry 2001, 35, 520–527. [Google Scholar] [CrossRef]
  18. Collin, S.M.; Nikolaus, S.; Heron, J.; Knoop, H.; White, P.D.; Crawley, E. Chronic Fatigue Syndrome (CFS) Symptom-Based Phenotypes in Two Clinical Cohorts of Adult Patients in the UK and The Netherlands. J. Psychosom. Res. 2016, 81, 14–23. [Google Scholar] [CrossRef] [Green Version]
  19. Cash, E.; Salmon, P.; Weissbecker, I.; Rebholz, W.N.; Bayley-Veloso, R.; Zimmaro, L.A.; Floyd, A.; Dedert, E.; Sephton, S.E. Mindfulness Meditation Alleviates Fibromyalgia Symptoms in Women: Results of a Randomized Clinical Trial. Ann. Behav. Med. 2015, 49, 319–330. [Google Scholar] [CrossRef] [Green Version]
  20. Littlejohn, G.; Guymer, E. Neurogenic Inflammation in Fibromyalgia. Semin. Immunopathol. 2018, 40, 291–300. [Google Scholar] [CrossRef]
  21. Chinn, S.; Caldwell, W.; Gritsenko, K. Fibromyalgia Pathogenesis and Treatment Options Update. Curr. Pain Headache Rep. 2016, 20, 25. [Google Scholar] [CrossRef] [PubMed]
  22. Ramírez-Tejero, J.A.; Martínez-Lara, E.; Rus, A.; Camacho, M.V.; Del Moral, M.L.; Siles, E. Insight into the Biological Pathways Underlying Fibromyalgia by a Proteomic Approach. J. Proteom. 2018, 186, 47–55. [Google Scholar] [CrossRef] [PubMed]
  23. Choi, B.Y.; Oh, H.J.; Lee, Y.J.; Song, Y.W. Prevalence and Clinical Impact of Fibromyalgia in Patients with Primary Sjögren’s Syndrome. Clin. Exp. Rheumatol. 2016, 34, S9–S13. [Google Scholar] [PubMed]
  24. Macfarlane, G.J.; Kronisch, C.; Dean, L.E.; Atzeni, F.; Häuser, W.; Fluß, E.; Choy, E.; Kosek, E.; Amris, K.; Branco, J.; et al. EULAR Revised Recommendations for the Management of Fibromyalgia. Ann. Rheum. Dis. 2017, 76, 318–328. [Google Scholar] [CrossRef]
  25. Talotta, R.; Bazzichi, L.; Franco, M.D.; Casale, R.; Batticciotto, A.; Gerardi, M.C.; Sarzi-Puttini, P. One Year in Review 2017: Fibromyalgia. Clin. Exp. Rheumatol. 2017, 35 (Suppl. S105), 6–12. [Google Scholar]
  26. Wolfe, F. Editorial: The Status of Fibromyalgia Criteria. Arthritis Rheumatol. 2015, 67, 330–333. [Google Scholar] [CrossRef]
  27. Mas, A.J.; Carmona, L.; Valverde, M.; Ribas, B. EPISER Study Group Prevalence and Impact of Fibromyalgia on Function and Quality of Life in Individuals from the General Population: Results from a Nationwide Study in Spain. Clin. Exp. Rheumatol. 2008, 26, 519–526. [Google Scholar]
  28. Cabo-Meseguer, A.; Cerdá-Olmedo, G.; Trillo-Mata, J.L. Fibromyalgia: Prevalence, Epidemiologic Profiles and Economic Costs. Med. Clin. (Barc) 2017, 149, 441–448. [Google Scholar] [CrossRef]
  29. Wolfe, F.; Smythe, H.A.; Yunus, M.B.; Bennett, R.M.; Bombardier, C.; Goldenberg, D.L.; Tugwell, P.; Campbell, S.M.; Abeles, M.; Clark, P.; et al. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Arthritis Rheum. 1990, 33, 160–172. [Google Scholar] [CrossRef]
  30. Wolfe, F.; Clauw, D.J.; Fitzcharles, M.-A.; Goldenberg, D.L.; Katz, R.S.; Mease, P.; Russell, A.S.; Russell, I.J.; Winfield, J.B.; Yunus, M.B. The American College of Rheumatology Preliminary Diagnostic Criteria for Fibromyalgia and Measurement of Symptom Severity. Arthritis Care Res. 2010, 62, 600–610. [Google Scholar] [CrossRef] [Green Version]
  31. Yi, T.C.; Moochhala, S. Mini-Review Article—Current Opinion on Salivary Biomarkers as a Measurement for Stress and Fatigue. Open Biomark. J. 2013, 6, 9–14. [Google Scholar] [CrossRef] [Green Version]
  32. Catley, D.; Kaell, A.T.; Kirschbaum, C.; Stone, A.A. A Naturalistic Evaluation of Cortisol Secretion in Persons with Fibromyalgia and Rheumatoid Arthritis. Arthritis Care Res. 2000, 13, 51–61. [Google Scholar] [CrossRef]
  33. Fischer, S.; Doerr, J.M.; Strahler, J.; Mewes, R.; Thieme, K.; Nater, U.M. Stress Exacerbates Pain in the Everyday Lives of Women with Fibromyalgia Syndrome--The Role of Cortisol and Alpha-Amylase. Psychoneuroendocrinology 2016, 63, 68–77. [Google Scholar] [CrossRef] [PubMed]
  34. de Oliveira, F.R.; Gonçalves, L.C.V.; Borghi, F.; da Silva, L.G.R.V.; Gomes, A.E.; Trevisan, G.; de Souza, A.L.; Grassi-Kassisse, D.M.; de Oliveira Crege, D.R.X. Massage Therapy in Cortisol Circadian Rhythm, Pain Intensity, Perceived Stress Index and Quality of Life of Fibromyalgia Syndrome Patients. Complementary Ther. Clin. Pract. 2018, 30, 85–90. [Google Scholar] [CrossRef] [PubMed]
  35. Moraes, L.J.; Miranda, M.B.; Loures, L.F.; Mainieri, A.G.; Mármora, C.H.C. A Systematic Review of Psychoneuroimmunology-Based Interventions. Psychol. Health Med. 2018, 23, 635–652. [Google Scholar] [CrossRef]
  36. Wingenfeld, K.; Nutzinger, D.; Kauth, J.; Hellhammer, D.H.; Lautenbacher, S. Salivary Cortisol Release and Hypothalamic Pituitary Adrenal Axis Feedback Sensitivity in Fibromyalgia Is Associated with Depression but Not with Pain. J. Pain 2010, 11, 1195–1202. [Google Scholar] [CrossRef]
  37. Coppens, E.; Kempke, S.; Van Wambeke, P.; Claes, S.; Morlion, B.; Luyten, P.; Van Oudenhove, L. Cortisol and Subjective Stress Responses to Acute Psychosocial Stress in Fibromyalgia Patients and Control Participants. Psychosom. Med. 2018, 80, 317–326. [Google Scholar] [CrossRef]
  38. Tak, L.M.; Cleare, A.J.; Ormel, J.; Manoharan, A.; Kok, I.C.; Wessely, S.; Rosmalen, J.G.M. Meta-Analysis and Meta-Regression of Hypothalamic-Pituitary-Adrenal Axis Activity in Functional Somatic Disorders. Biol. Psychol. 2011, 87, 183–194. [Google Scholar] [CrossRef]
  39. Riva, R.; Mork, P.J.; Westgaard, R.H.; Rø, M.; Lundberg, U. Fibromyalgia Syndrome Is Associated with Hypocortisolism. Int.J. Behav. Med. 2010, 17, 223–233. [Google Scholar] [CrossRef]
  40. Wingenfeld, K.; Heim, C.; Schmidt, I.; Wagner, D.; Meinlschmidt, G.; Hellhammer, D.H. HPA Axis Reactivity and Lymphocyte Glucocorticoid Sensitivity in Fibromyalgia Syndrome and Chronic Pelvic Pain. Psychosom. Med. 2008, 70, 65–72. [Google Scholar] [CrossRef]
  41. Fernández-de-las-Peñas, C.; Peñacoba-Puente, C.; Cigarán-Méndez, M.; Díaz-Rodríguez, L.; Rubio-Ruiz, B.; Arroyo-Morales, M. Has Catechol-O-Methyltransferase Genotype (Val158Met) an Influence on Endocrine, Sympathetic Nervous and Humoral Immune Systems in Women with Fibromyalgia Syndrome? Clin. J. Pain 2014, 30, 199–204. [Google Scholar] [CrossRef] [PubMed]
  42. Martínez-Pintor, F.M.; Escolano, A.F.; Rodríguez, J.R.; Ardid, J.M.C.; Gourlot, A.R. Niveles de α-Amilasa seriada salival en mujeres con fibromialgia. Cuad. Med. Psicosomática Psiquiatr. Enlace 2014, 110, 18–24. [Google Scholar]
  43. Sánchez, P.T.; Sánchez, J.M.; Lamo, M.d.; Peiró, G. Psicobioquimica (Estrés, Ansiedad y Depresión) En Fibromialgia. Cuad. Monográficos Psicobioquimica 2014, 3, 55–68. [Google Scholar]
  44. Skoluda, N.; Linnemann, A.; Nater, U.M. The Role of Week(End)-Day and Awakening Time on Cortisol and Alpha-Amylase Awakening Responses. Stress 2016, 19, 333–338. [Google Scholar] [CrossRef]
  45. Ahmadi-Motamayel, F.; Shahriari, S.; Goodarzi, M.T.; Moghimbeigi, A.; Jazaeri, M.; Babaei, P. The Relationship between the Level of Salivary Alpha Amylase Activity and Pain Severity in Patients with Symptomatic Irreversible Pulpitis. Restor. Dent. Endod. 2013, 38, 141–145. [Google Scholar] [CrossRef]
  46. Vahedi, M.; Mazdeh, M.; Hajilooi, M.; Farhadian, M.; Barakian, Y.; Sadr, P. The Relationship Between Salivary Alpha Amylase Activity and Score of McGill Pain Questionnaire in Patients with Tension Type Headache. Basic Clin. Neurosci. 2018, 9, 59–64. [Google Scholar] [CrossRef]
  47. Bazzichi, L.; Ciregia, F.; Giusti, L.; Baldini, C.; Giannaccini, G.; Giacomelli, C.; Sernissi, F.; Bombardieri, S.; Lucacchini, A. Detection of Potential Markers of Primary Fibromyalgia Syndrome in Human Saliva. Proteom. Clin. Appl. 2009, 3, 1296–1304. [Google Scholar] [CrossRef]
  48. Ciregia, F.; Giacomelli, C.; Giusti, L.; Boldrini, C.; Piga, I.; Pepe, P.; Consensi, A.; Gori, S.; Lucacchini, A.; Mazzoni, M.R.; et al. Putative Salivary Biomarkers Useful to Differentiate Patients with Fibromyalgia. J. Proteom. 2019, 190, 44–54. [Google Scholar] [CrossRef]
  49. Bazzichi, L.; Da Valle, Y.; Rossi, A.; Giacomelli, C.; Sernissi, F.; Giannaccini, G.; Betti, L.; Ciregia, F.; Giusti, L.; Scarpellini, P.; et al. A Multidisciplinary Approach to Study the Effects of Balneotherapy and Mud-Bath Therapy Treatments on Fibromyalgia. Clin. Exp. Rheumatol. 2013, 31, S111–S120. [Google Scholar]
  50. Giacomelli, C.; Bazzichi, L.; Ciregia, C.; Baldini, Y.; Da Valle, F.; Sernissi, F.; Rossi, A.; Bombardieri, S.; Lucacchini, A. MALDI-TOF and SELDI-TOF Analysis: “Tandem” Techniques to Identify Potential Biomarker in Fibromyalgia. Reumatismo 2011, 63, 166–170. [Google Scholar] [CrossRef]
  51. Angelousi, A.; Margioris, A.N.; Tsatsanis, C. ACTH action on the adrenals. In Endotext; Feingold, K.R., Anawalt, B., Boyce, A., Chrousos, G., de Herder, W.W., Dungan, K., Grossman, A., Hershman, J.M., Hofland, H.J., Kaltsas, G., et al., Eds.; MDText.com, Inc.: South Dartmouth, MA, USA, 2000. [Google Scholar]
  52. Thau, L.; Gandhi, J.; Sharma, S. Physiology, cortisol. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2020. [Google Scholar]
  53. Lisurek, M.; Bernhardt, R. Modulation of Aldosterone and Cortisol Synthesis on the Molecular Level. Mol. Cell. Endocrinol. 2004, 215, 149–159. [Google Scholar] [CrossRef] [PubMed]
  54. Ramamoorthy, S.; Cidlowski, J.A. Corticosteroids-Mechanisms of Action in Health and Disease. Rheum. Dis. Clin. N. Am. 2016, 42, 15–31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Hellhammer, D.H.; Wüst, S.; Kudielka, B.M. Salivary Cortisol as a Biomarker in Stress Research. Psychoneuroendocrinology 2009, 34, 163–171. [Google Scholar] [CrossRef] [PubMed]
  56. Jefferies, W.M. Cortisol and Immunity. Med. Hypotheses 1991, 34, 198–208. [Google Scholar] [CrossRef]
  57. Khani, S.; Tayek, J.A. Cortisol Increases Gluconeogenesis in Humans: Its Role in the Metabolic Syndrome. Clin. Sci. (Lond) 2001, 101, 739–747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Antonelli, M.; Donelli, D. Effects of Balneotherapy and Spa Therapy on Levels of Cortisol as a Stress Biomarker: A Systematic Review. Int. J. Biometeorol. 2018, 62, 913–924. [Google Scholar] [CrossRef] [PubMed]
  59. Butts, C.D.; Bloom, M.S.; Frye, C.A.; Walf, A.A.; Parsons, P.J.; Steuerwald, A.J.; Ilonze, C.; Fujimoto, V.Y. Urine Cortisol Concentration as a Biomarker of Stress Is Unrelated to IVF Outcomes in Women and Men. J. Assist. Reprod. Genet. 2014, 31, 1647–1653. [Google Scholar] [CrossRef] [Green Version]
  60. Wright, K.D.; Hickman, R.; Laudenslager, M.L. Hair Cortisol Analysis: A Promising Biomarker of HPA Activation in Older Adults. Gerontologist 2015, 55 (Suppl. S1), S140–S145. [Google Scholar] [CrossRef] [Green Version]
  61. Weibel, L. [Methodological guidelines for the use of salivary cortisol as biological marker of stress]. Presse Med. 2003, 32, 845–851. [Google Scholar]
  62. Riva, R.; Mork, P.J.; Westgaard, R.H.; Lundberg, U. Comparison of the Cortisol Awakening Response in Women with Shoulder and Neck Pain and Women with Fibromyalgia. Psychoneuroendocrinology 2012, 37, 299–306. [Google Scholar] [CrossRef]
  63. Romano, G.F.; Tomassi, S.; Russell, A.; Mondelli, V.; Pariante, C.M. Fibromyalgia and Chronic Fatigue: The Underlying Biology and Related Theoretical Issues. Adv. Psychosom. Med. 2015, 34, 61–77. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Nater, U.M.; Rohleder, N. Salivary Alpha-Amylase as a Non-Invasive Biomarker for the Sympathetic Nervous System: Current State of Research. Psychoneuroendocrinology 2009, 34, 486–496. [Google Scholar] [CrossRef] [PubMed]
  65. Schumacher, S.; Kirschbaum, C.; Fydrich, T.; Ströhle, A. Is Salivary Alpha-Amylase an Indicator of Autonomic Nervous System Dysregulations in Mental Disorders?—A Review of Preliminary Findings and the Interactions with Cortisol. Psychoneuroendocrinology 2013, 38, 729–743. [Google Scholar] [CrossRef] [PubMed]
  66. Capranica, L.; Condello, G.; Tornello, F.; Iona, T.; Chiodo, S.; Valenzano, A.; De Rosas, M.; Messina, G.; Tessitore, A.; Cibelli, G. Salivary Alpha-Amylase, Salivary Cortisol, and Anxiety during a Youth Taekwondo Championship: An Observational Study. Medicine (Baltimore) 2017, 96, e7272. [Google Scholar] [CrossRef]
  67. Inagaki, T.K.; Eisenberger, N.I. Giving Support to Others Reduces Sympathetic Nervous System-Related Responses to Stress. Psychophysiology 2016, 53, 427–435. [Google Scholar] [CrossRef] [Green Version]
  68. van Stegeren, A.; Rohleder, N.; Everaerd, W.; Wolf, O.T. Salivary Alpha Amylase as Marker for Adrenergic Activity during Stress: Effect of Betablockade. Psychoneuroendocrinology 2006, 31, 137–141. [Google Scholar] [CrossRef]
  69. Doerr, J.M.; Fischer, S.; Nater, U.M.; Strahler, J. Influence of Stress Systems and Physical Activity on Different Dimensions of Fatigue in Female Fibromyalgia Patients. J. Psychosom. Res. 2017, 93, 55–61. [Google Scholar] [CrossRef] [Green Version]
  70. Linnemann, A.; Kappert, M.B.; Fischer, S.; Doerr, J.M.; Strahler, J.; Nater, U.M. The Effects of Music Listening on Pain and Stress in the Daily Life of Patients with Fibromyalgia Syndrome. Front. Hum. Neurosci. 2015, 9, 434. [Google Scholar] [CrossRef] [Green Version]
  71. Samland, A.K.; Sprenger, G.A. Transaldolase: From Biochemistry to Human Disease. Int. J. Biochem. Cell Biol. 2009, 41, 1482–1494. [Google Scholar] [CrossRef]
  72. Gutiérrez, P.B.; Dafa, L.M. Glucose-6-Phosphate Dehydrogenase Deficiency: A Case Report and Review. Pediatría Atención Primaria 2015, 17, 361–368. [Google Scholar] [CrossRef] [Green Version]
  73. Quintanar-Escorza, M.; Calderon, V. La Capacidad Antioxidante Total. Bases y Aplicaciones. Rev. Educ. Bioquímica 2009, 28, 89–101. [Google Scholar]
  74. Gvozdjáková, A.; Kucharská, J.; Sykora, L.; Singh, R. Balneotherapy and Coenzyme Q10 in Clinical and Experimental Medicine. Front. Biosci. 2014. [Google Scholar] [CrossRef]
  75. Nelson, D.L.; Cox, M. Lehninger´s Principles of Biochemistry: International Edition, 4th ed.; WH Freeman and Company: New York, NY, USA, 2005; pp. 521–525. [Google Scholar]
  76. Morán, G.A.G.; Mejía, Ó.R.; Vela, S.H.; Cardona, A.G.; Grimaldi, D.C.; Baez, S.A.; Muñoz, J.G. Biomedicina (Biología, Patobiología, Bioclínica y Fármaco-Terapéutica) de la Familia de las Proteínas S100 en la Especie Humana. Rev. Univ. Ind. Santander. Salud 2006, 38, 128–152. [Google Scholar]
  77. Wang, S.; Song, R.; Wang, Z.; Jing, Z.; Wang, S.; Ma, J. S100A8/A9 in Inflammation. Front. Immunol. 2018, 9, 1298. [Google Scholar] [CrossRef] [PubMed]
  78. Moroz, O.V.; Dodson, G.G.; Wilson, K.S.; Lukanidin, E.; Bronstein, I.B. Multiple Structural States of S100A12: A Key to Its Functional Diversity. Microsc. Res. Tech. 2003, 60, 581–592. [Google Scholar] [CrossRef] [PubMed]
  79. Donato, R. Functional Roles of S100 Proteins, Calcium-Binding Proteins of the EF-Hand Type. Biochim. Biophys. Acta 1999, 1450, 191–231. [Google Scholar] [CrossRef] [Green Version]
  80. Yang, Z.; Tao, T.; Raftery, M.J.; Youssef, P.; Girolamo, N.D.; Geczy, C.L. Proinflammatory Properties of the Human S100 Protein S100A12. J. Leukoc. Biol. 2001, 69, 986–994. [Google Scholar]
  81. Cole, A.M.; Kim, Y.H.; Tahk, S.; Hong, T.; Weis, P.; Waring, A.J.; Ganz, T. Calcitermin, a Novel Antimicrobial Peptide Isolated from Human Airway Secretions. FEBS Lett. 2001, 504, 5–10. [Google Scholar] [CrossRef] [Green Version]
  82. Satoh, K.; Matoba, T.; Suzuki, J.; O’Dell, M.R.; Nigro, P.; Cui, Z.; Mohan, A.; Pan, S.; Li, L.; Jin, Z.-G.; et al. Cyclophilin A Mediates Vascular Remodeling by Promoting Inflammation and Vascular Smooth Muscle Cell Proliferation. Circulation 2008, 117, 3088–3098. [Google Scholar] [CrossRef] [Green Version]
  83. Suzuki, J.; Jin, Z.-G.; Meoli, D.F.; Matoba, T.; Berk, B.C. Cyclophilin A Is Secreted by a Vesicular Pathway in Vascular Smooth Muscle Cells. Circ. Res. 2006, 98, 811–817. [Google Scholar] [CrossRef] [Green Version]
  84. Etienne-Manneville, S.; Hall, A. Rho GTPases in Cell Biology. Nature 2002, 420, 629–635. [Google Scholar] [CrossRef] [PubMed]
  85. Valdés, A.Z. The Proteasome: Subtypes and Involvement in Central Tolerance. Rev. Cuba. Investig. Biomed. 2019, 38, 227–249. [Google Scholar]
  86. Nielsen, M.J.; Petersen, S.V.; Jacobsen, C.; Oxvig, C.; Rees, D.; Møller, H.J.; Moestrup, S.K. Haptoglobin-Related Protein Is a High-Affinity Hemoglobin-Binding Plasma Protein. Blood 2006, 108, 2846–2849. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Theoharides, T.C.; Tsilioni, I.; Bawazeer, M. Mast Cells, Neuroinflammation and Pain in Fibromyalgia Syndrome. Front. Cell Neurosci. 2019, 13. [Google Scholar] [CrossRef]
  88. Xiao, Y.; Haynes, W.L.; Michalek, J.E.; Russell, I.J. Elevated Serum High-Sensitivity C-Reactive Protein Levels in Fibromyalgia Syndrome Patients Correlate with Body Mass Index, Interleukin-6, Interleukin-8, Erythrocyte Sedimentation Rate. Rheumatol. Int. 2013, 33, 1259–1264. [Google Scholar] [CrossRef]
  89. Feinberg, T.; Sambamoorthi, U.; Lilly, C.; Innes, K.K. Potential Mediators between Fibromyalgia and C-Reactive Protein: Results from a Large U.S. Community Survey. BMC Musculoskelet. Disord. 2017, 18. [Google Scholar] [CrossRef] [Green Version]
  90. Kingsbury, C.; Karelis, A.D.; Hains-Monfette, G.; Bernard, P. Association between Daily Level of Objective Physical Activity and C-Reactive Protein in a Representative National Sample of Adults with Self-Reported Diagnosed Arthritis or Fibromyalgia. Rheumatol. Int. 2020, 40, 1463–1471. [Google Scholar] [CrossRef]
  91. Imamura, M.; Targino, R.A.; Hsing, W.T.; Imamura, S.; Azevedo, R.S.; Boas, L.S.V.; Tozetto-Mendoza, T.R.; Alfieri, F.M.; Filippo, T.R.; Battistella, L.R. Concentration of Cytokines in Patients with Osteoarthritis of the Knee and Fibromyalgia. Clin. Interv. Aging 2014, 9, 939–944. [Google Scholar] [CrossRef] [Green Version]
  92. Wallace, D.J.; Linker-Israeli, M.; Hallegua, D.; Silverman, S.; Silver, D.; Weisman, M.H. Cytokines Play an Aetiopathogenetic Role in Fibromyalgia: A Hypothesis and Pilot Study. Rheumatology (Oxford) 2001, 40, 743–749. [Google Scholar] [CrossRef] [Green Version]
  93. Kadetoff, D.; Lampa, J.; Westman, M.; Andersson, M.; Kosek, E. Evidence of Central Inflammation in Fibromyalgia-Increased Cerebrospinal Fluid Interleukin-8 Levels. J. Neuroimmunol. 2012, 242, 33–38. [Google Scholar] [CrossRef] [Green Version]
  94. Kutu, F.C.; Özdolap, Ş.; Sarikaya, S. Pro-Inflammatory Cytokines and Oxidized Low-Density-Lipoprotein in Patients With Fibromyalgia. Arch. Rheumatol. 2019, 34, 123–129. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Salemi, S.; Rethage, J.; Wollina, U.; Michel, B.A.; Gay, R.E.; Gay, S.; Sprott, H. Detection of Interleukin 1beta (IL-1beta), IL-6, and Tumor Necrosis Factor-Alpha in Skin of Patients with Fibromyalgia. J. Rheumatol. 2003, 30, 146–150. [Google Scholar] [PubMed]
  96. Christidis, N.; Ghafouri, B.; Larsson, A.; Palstam, A.; Mannerkorpi, K.; Bileviciute-Ljungar, I.; Löfgren, M.; Bjersing, J.; Kosek, E.; Gerdle, B.; et al. Comparison of the Levels of Pro-Inflammatory Cytokines Released in the Vastus Lateralis Muscle of Patients with Fibromyalgia and Healthy Controls during Contractions of the Quadriceps Muscle—A Microdialysis Study. PLoS ONE 2015, 10, e0143856. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Uçeyler, N.; Häuser, W.; Sommer, C. Systematic Review with Meta-Analysis: Cytokines in Fibromyalgia Syndrome. BMC Musculoskelet. Disord. 2011, 12, 245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Tsilioni, I.; Russell, I.J.; Stewart, J.M.; Gleason, R.M.; Theoharides, T.C. Neuropeptides CRH, SP, HK-1, and Inflammatory Cytokines IL-6 and TNF Are Increased in Serum of Patients with Fibromyalgia Syndrome, Implicating Mast Cells. J. Pharmacol. Exp. Ther. 2016, 356, 664–672. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Dolcino, M.; Tinazzi, E.; Puccetti, A.; Lunardi, C. Gene Expression Profiling in Fibromyalgia Indicates an Autoimmune Origin of the Disease and Opens New Avenues for Targeted Therapy. J. Clin. Med. 2020, 9. [Google Scholar] [CrossRef]
  100. Malhotra, D.; Saxena, A.K.; Dar, S.A.; Kumar, V.; Nasare, N.; Tripathi, A.K.; Banerjee, B.D. Evaluation of Cytokine Levels in Fibromyalgia Syndrome Patients and Its Relationship to the Severity of Chronic Pain†. J. Musculoskelet. Pain 2012, 20, 164–169. [Google Scholar] [CrossRef]
  101. Geiss, A.; Rohleder, N.; Anton, F. Evidence for an Association between an Enhanced Reactivity of Interleukin-6 Levels and Reduced Glucocorticoid Sensitivity in Patients with Fibromyalgia. Psychoneuroendocrinology 2012, 37, 671–684. [Google Scholar] [CrossRef]
  102. Bazzichi, L.; Rossi, A.; Massimetti, G.; Giannaccini, G.; Giuliano, T.; De Feo, F.; Ciapparelli, A.; Dell’Osso, L.; Bombardieri, S. Cytokine Patterns in Fibromyalgia and Their Correlation with Clinical Manifestations. Clin. Exp. Rheumatol. 2007, 25, 225–230. [Google Scholar]
  103. Wang, H.; Buchner, M.; Moser, M.T.; Daniel, V.; Schiltenwolf, M. The Role of IL-8 in Patients with Fibromyalgia: A Prospective Longitudinal Study of 6 Months. Clin. J. Pain 2009, 25, 1–4. [Google Scholar] [CrossRef]
  104. Ang, D.C.; Moore, M.N.; Hilligoss, J.; Tabbey, R. MCP-1 and IL-8 as Pain Biomarkers in Fibromyalgia: A Pilot Study. Pain Med. 2011, 12, 1154–1161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Wang, H.; Weber, A.; Schiltenwolf, M.; Amelung, D. Attachment style and cytokine levels in patients with fibromyalgia. A prospective longitudinal study. Schmerz 2014, 28, 504–512. [Google Scholar] [CrossRef] [PubMed]
  106. Pernambuco, A.P.; Schetino, L.P.L.; Alvim, C.C.; Murad, C.M.; Viana, R.S.; Carvalho, L.S.C.; Reis, D.Á. Increased Levels of IL-17A in Patients with Fibromyalgia. Clin. Exp. Rheumatol. 2013, 31, S60–S63. [Google Scholar] [PubMed]
  107. Furer, V.; Hazan, E.; Mor, A.; Segal, M.; Katav, A.; Aloush, V.; Elkayam, O.; George, J.; Ablin, J.N. Elevated Levels of Eotaxin-2 in Serum of Fibromyalgia Patients. Pain Res. Manag. 2018, 2018. [Google Scholar] [CrossRef]
  108. Volanakis, J.E. Human C-Reactive Protein: Expression, Structure, and Function. Mol. Immunol. 2001, 38, 189–197. [Google Scholar] [CrossRef]
  109. Pepys, M.B.; Hirschfield, G.M. C-Reactive Protein: A Critical Update. J. Clin. Invest. 2003, 111, 1805–1812. [Google Scholar] [CrossRef]
  110. Rus, A.; Molina, F.; Gassó, M.; Camacho, M.V.; Peinado, M.Á.; Moral, M.L.d. Nitric Oxide, Inflammation, Lipid Profile, and Cortisol in Normal- and Overweight Women with Fibromyalgia. Biol. Res. Nurs. 2015. [Google Scholar] [CrossRef]
  111. Rodriguez-Pintó, I.; Agmon-Levin, N.; Howard, A.; Shoenfeld, Y. Fibromyalgia and Cytokines. Immunol. Lett. 2014, 161, 200–203. [Google Scholar] [CrossRef]
  112. Peck, M.M.; Maram, R.; Mohamed, A.; Crespo, D.O.; Kaur, G.; Ashraf, I.; Malik, B.H. The Influence of Pro-Inflammatory Cytokines and Genetic Variants in the Development of Fibromyalgia: A Traditional Review. Cureus 2020, 12, e10276. [Google Scholar] [CrossRef]
  113. Ji, R.-R.; Chamessian, A.; Zhang, Y.-Q. Pain Regulation by Non-Neuronal Cells and Inflammation. Science 2016, 354, 572–577. [Google Scholar] [CrossRef] [Green Version]
  114. Sims, J.E.; Smith, D.E. The IL-1 Family: Regulators of Immunity. Nat. Rev. Immunol. 2010, 10, 89–102. [Google Scholar] [CrossRef] [PubMed]
  115. Cê, P.S.; Barreiro, B.B.; Silva, R.B.; Oliveira, R.B.; Heitz, C.; Campos, M.M. Salivary Levels of Interleukin-1β in Temporomandibular Disorders and Fibromyalgia. J. Oral Facial Pain Headache 2018, 32, 130–136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Trikha, M.; Corringham, R.; Klein, B.; Rossi, J.-F. Targeted Anti-Interleukin-6 Monoclonal Antibody Therapy for Cancer: A Review of the Rationale and Clinical Evidence. Clin. Cancer Res. 2003, 9, 4653–4665. [Google Scholar] [PubMed]
  117. Tanaka, T.; Narazaki, M.; Kishimoto, T. IL-6 in Inflammation, Immunity, and Disease. Cold Spring Harb. Perspect. Biol. 2014, 6, a016295. [Google Scholar] [CrossRef]
  118. Zhou, Y.-Q.; Liu, Z.; Liu, Z.-H.; Chen, S.-P.; Li, M.; Shahveranov, A.; Ye, D.-W.; Tian, Y.-K. Interleukin-6: An Emerging Regulator of Pathological Pain. J. Neuroinflamm. 2016, 13, 141. [Google Scholar] [CrossRef] [Green Version]
  119. Kang, S.; Tanaka, T.; Narazaki, M.; Kishimoto, T. Targeting Interleukin-6 Signaling in Clinic. Immunity 2019, 50, 1007–1023. [Google Scholar] [CrossRef]
  120. Harada, A.; Sekido, N.; Akahoshi, T.; Wada, T.; Mukaida, N.; Matsushima, K. Essential Involvement of Interleukin-8 (IL-8) in Acute Inflammation. J. Leukoc. Biol. 1994, 56, 559–564. [Google Scholar] [CrossRef]
  121. Bester, J.; Pretorius, E. Effects of IL-1β, IL-6 and IL-8 on Erythrocytes, Platelets and Clot Viscoelasticity. Sci. Rep. 2016, 6. [Google Scholar] [CrossRef]
  122. Mumm, J.B.; Emmerich, J.; Zhang, X.; Chan, I.; Wu, L.; Mauze, S.; Blaisdell, S.; Basham, B.; Dai, J.; Grein, J.; et al. IL-10 Elicits IFNγ-Dependent Tumor Immune Surveillance. Cancer Cell 2011, 20, 781–796. [Google Scholar] [CrossRef] [Green Version]
  123. Saraiva, M.; O’Garra, A. The Regulation of IL-10 Production by Immune Cells. Nat. Rev. Immunol. 2010, 10, 170–181. [Google Scholar] [CrossRef] [Green Version]
  124. Abusleme, L.; Moutsopoulos, N.M. IL-17: Overview and Role in Oral Immunity and Microbiome. Oral Dis. 2017, 23, 854–865. [Google Scholar] [CrossRef] [PubMed]
  125. Liu, Y.; Ho, R.C.-M.; Mak, A. The Role of Interleukin (IL)-17 in Anxiety and Depression of Patients with Rheumatoid Arthritis. Int. J. Rheum. Dis. 2012, 15, 183–187. [Google Scholar] [CrossRef] [PubMed]
  126. Meng, X.; Zhang, Y.; Lao, L.; Saito, R.; Li, A.; Bäckman, C.M.; Berman, B.M.; Ren, K.; Wei, P.-K.; Zhang, R.-X. Spinal Interleukin-17 Promotes Thermal Hyperalgesia and NMDA NR1 Phosphorylation in an Inflammatory Pain Rat Model. Pain 2013, 154, 294–305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Baral, P.; Udit, S.; Chiu, I.M. Pain and Immunity: Implications for Host Defence. Nat. Rev. Immunol. 2019, 19, 433–447. [Google Scholar] [CrossRef] [PubMed]
  128. Kiguchi, N.; Kobayashi, Y.; Kishioka, S. Chemokines and Cytokines in Neuroinflammation Leading to Neuropathic Pain. Curr. Opin. Pharmacol. 2012, 12, 55–61. [Google Scholar] [CrossRef] [PubMed]
  129. García, J.J.; Cidoncha, A.; Bote, M.E.; Hinchado, M.D.; Ortega, E. Altered Profile of Chemokines in Fibromyalgia Patients. Ann. Clin. Biochem. 2014, 51, 576–581. [Google Scholar] [CrossRef] [PubMed]
Table 1. Salivary biomarkers involved in fibromyalgia diagnosis.
Table 1. Salivary biomarkers involved in fibromyalgia diagnosis.
BiomarkerSalivary Levels in PatientsFindings
CortisolIncreased levels [31,32]Association between high levels of cortisol in early stages of the pathology [31,32] that correspond to peaks in pain, stress [33,34,35], and depression [36].
Decreased levels [37,38]Low cortisol levels are associated with the duration of the disease, and may be the cause of chronic adaptation to stress in fibromyalgia patients [37,39,40].
α-AmylaseIncreased levels [33,41,42,43]Fluctuations in amylase levels were observed depending on the timing of the sampling [42,44]. These changes may have been related to pain and stress in patients with fibromyalgia [33,45,46].
TransaldolasaIncreased levels [47,48]Overexpression of transaldolase in FM-affected women that may have been due to decreased oxidative tissue damage [47]. Increased expression of transaldolase by two-dimensional electrophoresis was not useful to differentiate between FM and migraine [48].
Unaltered levels [49]Absence of changes in transaldolase expression in response to thermal treatments [49].
Phosphoglycerate mutase 1Increased levels [47,48]Overexpression of PGM1 determined by ELISA, Western blot, and total optical density [47]. This increase in PGM1 expression can also be detected in patients with migraine [48].
Decreased levels [49]FGM1 was significantly reduced in FM subjects after receiving mud-balneotherapy [49].
CalgranulinaIncreased levels [47,50]Increased levels of calgranulin A and C in fibromyalgia patients [47], which may be explained by their protective role against oxidative stress [50].
Table 2. Potential salivary biomarkers in fibromyalgia.
Table 2. Potential salivary biomarkers in fibromyalgia.
BiomarkerFluidBiomarker Levels in Fibromyalgia PatientsFindings
CRPSerumIncreased levels [88,89]CRP has been found to provide information on the inflammatory status of patients with FM [88,89,90].
IL-1βSerumIncreased levels [87,91,92]Higher serum levels were found in patients with fibromyalgia. No differences after adjustment of age as a covariate [91]. IL-1β, released by thalamic mast cells, contributes to inflammation and pain and can also stimulate thalamic nociceptive neurons [87].
Unaltered levels [93,94]No differences in serum levels between healthy and fibromyalgia patients [93,94].
Skin biopsiesIncreased levels [95]There was presence of IL-1β in skin biopsies of fibromyalgia patients compared to healthy controls, which may be associated with an inflammatory component in the induction of pain [95].
Muscle samplesUnaltered levels [96]No differences between cytokine concentrations in healthy control compared to patients with fibromyalgia [96].
Cerebrospinal fluidUnaltered levels [93]No differences of IL-1β were found [93].
IL-6SerumIncreased levels [5,87,91,97,98,99,100,101]Higher serum levels were found in patients with fibromyalgia, which was significantly associated with fatigue and pain ratings [5,100,101]. No differences after adjustment of age as a covariate [91]. Higher levels of IL-6 in peripheral blood of fibromyalgia patients were related to hyperalgesia [92]. IL-6 released by thalamic mast cells contributed to inflammation and pain and can also stimulate thalamic nociceptive neurons [87]. This elevation also contributes to the symptoms of fibromyalgia [98,99].
Skin biopsiesIncreased levels [95]There was presence of IL-6 in skin biopsies of fibromyalgia patients compared to healthy controls, which may be associated with an inflammatory component in the induction of pain [95].
Muscle samplesUnaltered levels [96]No differences between cytokine concentrations in healthy control compared to patients with fibromyalgia [96].
IL-8SerumIncreased levels [5,91,92,102,103,104]Higher serum levels were found in patients with fibromyalgia. No differences after adjustment of age as a covariate [91]. Fatigue and depression were associated with high levels of IL-8 with the promotion of sympathetic pain [5,92,104]. This increase also suggests the presence of anti-inflammatory response and a link with clinical symptoms [102]. Wang el al. did not correlate this cytokine in relation to pain intensity [103].
Unaltered levels [94]Severity of pain was positively correlated with IL-8 [94].
Cerebrospinal fluidIncreased levels [93]Higher levels of IL-8 in serum and cerebrospinal fluid of fibromyalgia patients [93].
Muscle samplesUnaltered levels [96]No differences between cytokine concentrations in healthy control compared to patients with fibromyalgia [96].
IL-10SerumIncreased levels [91,92,100,102,105]Higher serum levels were found in patients with fibromyalgia. No differences after adjustment of age as a covariate [91]. This market was also positively correlated with various pain scores [100]. This increase also suggests the presence of anti-inflammatory response and a link with clinical symptoms [102].
IL-17SerumIncreased levels [106]Fibromyalgia patients showed elevated levels of IL-17a as well as positive correlations with levels of IL-2, IL-4, IL-10, TNF, and IFN-γ [106].
Intracellular levels of mononuclear blood cellsIncreased levels [99]Higher intracellular levels of IL-17 in peripheral blood mononuclear cells in fibromyalgia patients [99].
TNF- αSerumIncreased levels [87,91,92,98,99,102,105]Higher serum levels were found in patients with fibromyalgia. No differences after adjustment of age as a covariate [91]. TNF-α released by thalamic mast cells contributes to inflammation and pain and can also stimulate thalamic nociceptive neurons [87]. This elevation also contributes to the symptoms of fibromyalgia [98]. This increase also suggests the presence of anti-inflammatory response and a link with clinical symptoms [99,102].
Unaltered levels [94]Severity of pain was positively correlated to TNF-α [94].
Skin biopsiesIncreased levels [95]There was presence of TNF-α in skin biopsies of fibromyalgia patients compared to healthy controls, which may be associated with an inflammatory component in the induction of pain [95].
Muscle samplesUnaltered levels [96]No differences between cytokine concentrations in healthy control compared to patients with fibromyalgia [96].
Eoxatin-2SerumIncreased levels [107]Significantly increased circulating levels of eotaxin-2 in serum of fibromyalgia patients compared with healthy controls [107].
CRP: C-reactive protein; IL-1β: interleukin 1-β; IL-2: interleukin 2; IL-4: interleukin 4; IL-6: interleukin 6; IL-8: interleukin 8; IL-10: interleukin 10; IL-17: interleukin 17; IFN-γ: interferon-γ; TNF-α: tumor necrosis factor α.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Illescas-Montes, R.; Costela-Ruiz, V.J.; Melguizo-Rodríguez, L.; De Luna-Bertos, E.; Ruiz, C.; Ramos-Torrecillas, J. Application of Salivary Biomarkers in the Diagnosis of Fibromyalgia. Diagnostics 2021, 11, 63. https://doi.org/10.3390/diagnostics11010063

AMA Style

Illescas-Montes R, Costela-Ruiz VJ, Melguizo-Rodríguez L, De Luna-Bertos E, Ruiz C, Ramos-Torrecillas J. Application of Salivary Biomarkers in the Diagnosis of Fibromyalgia. Diagnostics. 2021; 11(1):63. https://doi.org/10.3390/diagnostics11010063

Chicago/Turabian Style

Illescas-Montes, Rebeca, Víctor J. Costela-Ruiz, Lucía Melguizo-Rodríguez, Elvira De Luna-Bertos, Concepción Ruiz, and Javier Ramos-Torrecillas. 2021. "Application of Salivary Biomarkers in the Diagnosis of Fibromyalgia" Diagnostics 11, no. 1: 63. https://doi.org/10.3390/diagnostics11010063

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

Article Metrics

Back to TopTop