DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization.

Fibromyalgia (FM) has been explained as a result of gene-environment interactions. The present study aims to verify DNA methylation differences in eleven candidate genome regions previously associated to FM, evaluating DNA methylation patterns as potential disease biomarkers. DNA methylation was analyzed through bisulfite sequencing, comparing 42 FM women and their 42 healthy sisters. The associations between the level of methylation in these regions were further explored through a network analysis. Lastly, a logistic regression model investigated the regions potentially associated with FM, when controlling for sociodemographic variables and depressive symptoms. The analysis highlighted significant differences in the GCSAML region methylation between patients and controls. Moreover, seventeen single CpGs, belonging to other genes, were significantly different, however, only one cytosine related to GCSAML survived the correction for multiple comparisons. The network structure of methylation sites was different for each group; GRM2 methylation represented a central node only for FM patients. Logistic regression revealed that depressive symptoms and DNA methylation in the GRM2 region were significantly associated with FM risk. Our study encourages better exploration of GCSAML and GRM2 functions and their possible role in FM affecting immune, inflammatory response, and central sensitization of pain.

DNA methylation changes in genes involved in inflammation and depression in fibromyalgia: a pilot study.

OBJECTIVES: The present pilot study aims to investigate DNA methylation changes of genes related to fibromyalgia (FM) development and its main comorbid symptoms, including sleep impairment, inflammation, depression and other psychiatric disorders. Epigenetic modifications might trigger or perpetuate complex interplay between pain transduction/transmission, central pain processing and experienced stressors in vulnerable individuals. METHODS: We conducted DNA methylation analysis by targeted bisulfite NGS sequencing testing differential methylation in 112 genomic regions from leukocytes of eight women with FM and their eight healthy sisters as controls. RESULTS: Tests for differentially methylated regions and cytosines brought focus on the GRM2 gene, encoding the metabotropic glutamate receptor2. The slightly increased DNA methylation observed in the GRM2 region of FM patients may confirm the involvement of the glutamate pathway in this pathological condition. Logistic regression highlighted the simultaneous association of methylation levels of depression and inflammation-related genes with FM. CONCLUSIONS: Altogether, the results evidence the glutamate pathway involvement in FM and support the idea that a combination of methylated and unmethylated genes could represent a risk factor to FM or its consequence, more than single genes. Further studies on the identified biomarkers could contribute to unravel the causative underlying FM mechanisms, giving reliable directions to research, improving the diagnosis and effective therapies.

A family-based study to identify genetic biomarkers of fibromyalgia: consideration of patients' subgroups.

OBJECTIVES: Evidence from genome-wide and candidate gene association studies, familial aggregation and linkage analyses demonstrate the genetic contribution to fibromyalgia (FM) disease. This study aimed to identify genetic biomarkers of FM and its related comorbid disorders, by exploring 41 polymorphisms potentially involved in FM pathogenesis in families with at least one patient with FM. METHODS: Core symptoms were assessed, and blood samples collected from 556 patients with FM and 395 healthy relatives. For the genetic study, a final sample of 401 FM patients and 232 healthy controls was selected, discarding patients with concomitant pathologies and controls with chronic pain. A family-based approach using DFAM test (Plink) and SNPs (single nucleotide polymorphisms) combination analyses to compare FM patients vs. controls were first applied. Second, the genotypic distribution of subgroups of FM patients, stratified by severe vs. mild symptoms of pain, depression and sleep impairment, was considered. RESULTS: No evidence of associations with FM per se were detected, using either a family-based approach or SNPs combination analyses. However, considering the subgroups of FM patients, the SNP rs6454674 (CNR1, cannabinoid receptor 1 gene) was found as a potential genetic marker of FM correlated with depression (p<.001). CONCLUSIONS: No significant associations using either the family-based analysis or the SNPs combination tests dissociated FM patients and their healthy relatives. FM patients with and without depression showed a significant difference in the genotypic distribution related to the SNP rs6454674 in the cannabinoid receptor 1 gene (CNR1) indicating that FM is not a homogenous disorder.

Effects of the COVID-19 pandemic on chronic pain in Spain: a scoping review.

The COVID-19 outbreak has been a great challenge in the management of chronic pain patients. We have conducted a rapid scoping review to assess the impact of the pandemic (and the associated public health measures) on the health status and management practices of chronic pain patients in Spain. To this end, we performed a bibliographic search in LitCOVID and PubMed, and reviewed official websites and documents, and expert reports. The review showed that (1) the studies consistently indicate that the pandemic has had a very negative impact on the physical and psychological health of chronic pain patients; (2) there are scarce data on how the pandemic affected pain unit consultations and a lack of protocols to organize health care in the face of future waves of contagion, with little implementation of telehealth. We make proposals to improve management of chronic pain patients in pandemic situations, which should pivot around 3 axes: (1) a coordinated response of all the relevant stakeholders to define a future roadmap and research priorities, (2) a biopsychosocial approach in pain management, and (3) development and implementation of novel telemedicine solutions.

Patients with fibromyalgia show increased beta connectivity across distant networks and microstates alterations in resting-state electroencephalogram.

Fibromyalgia (FM) is a chronic condition characterized by widespread pain of unknown etiology associated with alterations in the central nervous system. Although previous studies demonstrated altered patterns of brain activity during pain processing in patients with FM, alterations in spontaneous brain oscillations, in terms of functional connectivity or microstates, have been barely explored so far. Here we recorded the EEG from 43 patients with FM and 51 healthy controls during open-eyes resting-state. We analyzed the functional connectivity between different brain networks computing the phase lag index after group Independent Component Analysis, and also performed an EEG microstates analysis. Patients with FM showed increased beta band connectivity between different brain networks and alterations in some microstates parameters (specifically lower occurrence and coverage of microstate class C). We speculate that the observed alterations in spontaneous EEG may suggest the dominance of endogenous top-down influences; this could be related to limited processing of novel external events and the deterioration of flexible behavior and cognitive control frequently reported for FM. These findings provide the first evidence of alterations in long-distance phase connectivity and microstate indices at rest, and represent progress towards the understanding of the pathophysiology of fibromyalgia and the identification of novel biomarkers for its diagnosis.

Toward a Strategy to Involve Patients in Health Technology Assessment in Spain.

OBJECTIVES: The aim of this study was to develop a feasible and effective strategy to involve patients in the Spanish Network of Agencies of Health Technology Assessment (RedETS). METHODS: The framework for patient involvement (PI) in the assessment activities and processes of RedETS were developed through a research project that included: (i) a systematic search of the international literature describing a strategy and/or a methodology linking health technology assessment (HTA) and PI; (ii) a qualitative study through interviews with RedETS members to analyze the perceptions of PI among HTA managers in the Spanish context; (iii) a Delphi consultation with three large platforms of patients, carers and consumer organizations in Spain about their perspectives of PI; (iv) a consensus process with the members of the RedETS Governing Council to define the final strategy. RESULTS: Three main themes were identified in the literature and Web site review: (i) PI methods for the different HTA phases; (ii) Participant definition and selection; (iii) Resources needed. A three-step implementation strategy was proposed: (i) short-term actions: piloting and testing patient participation in HTA and building patients' capacity; (ii) medium-term actions: broadening the participation of patients, and building internal capacity; (iii) long-term actions: consolidating and mainstreaming patient involvement CONCLUSIONS: Patient participation can be incorporated into almost all the HTA phases and products with greater or lesser degrees of difficulty. However, a progressive implementation strategy is suggested for a feasible PI process.

Evaluation of the accuracy of several symptoms and domains in distinguishing patients diagnosed with fibromyalgia from healthy controls.

OBJECTIVES: To assess the discriminative power of several symptoms and domains that may assist in the diagnosis of subjects with Fibromyalgia (FM). METHODS: 79 individuals with FM and 66 healthy controls participated in the study. The potential domains proposed by the American College of Rheumatology (ACR) criteria were considered (Wolfe et al., 1990). Binary logistic regression and area under a ROC curve (AUC) were used to rank the importance of the variables in distinguishing patients from pain-free controls. Z values were then calculated to compare the AUC values obtained for each variable with that which yielded the highest AUC (reference standard). For each measure, the cut-offs that maximise sensitivity and specificity were also calculated. RESULTS: The mean pressure pain threshold (PPT) yielded the highest discriminative power (AUC, 0.991) and was therefore chosen as the reference standard; considering an optimal cut- off ≤3.97, it correctly classified 95% of patients and 97% of controls. The discriminative powers of tender point count (cut-off ≥9), health-related quality of life (cut-off ≤63.27) and vitality (cut-off ≤46.97) were as good as that of the reference standard. Finally, items related to physical role and function, body pain, fatigue and memory loss showed adequate discriminative power, although slightly lower than that of the reference. CONCLUSIONS: In addition to pain, health-related quality of life and fatigue/vitality were confirmed as the best predictors of individuals with FM. The study findings indicate that tender point count and especially pressure pain threshold (measured with an algometer) continue to be key issues in the clinical assessment of subjects with FM relative to pain-free controls.

First-time admissions for opioid treatment: cross-sectional and descriptive study of new opioid users seeking treatment.

BACKGROUND: The purpose of this study was to gain an understanding of the profiles of the new treatment demands posed by opioid addicts between 2005 and 2010 at the addictive disorders assistance units in Galicia, Spain. METHODS: A cluster analysis was performed using data from 1,655 treatment entrants. Clusters were constructed using sociodemographic and medicolegal variables. A cluster analysis was also conducted according to age. Once clusters were defined, their association with the following variables was analyzed: age at first use of opioids, years of use, frequency of opioid use in the previous month, psychiatric treatment, cocaine use, existence of a drug-dependent partner, and source of referral. RESULTS: Four clusters were obtained in the main analysis. Cluster 1 (34.01%) consisted of young males, cluster 2 (16.19%) consisted of not-so-young males, cluster 3 (32.62%) consisted mainly of older males and a small group of females, and cluster 4 (17.18%) was made up entirely of women. With regard to age-related clusters, two clusters were obtained in those under the age of 30 years: cluster 1 (73%) without medicolegal complications and cluster 2 (27%) with medicolegal complications. For those over the age of 30 years, two clusters were obtained: cluster 1 (53.92%) with hardly any medicolegal complications and cluster 2 (46.08%) with medicolegal complications. CONCLUSION: Cluster analysis suggests that there have been no substantial changes in variables indicating greater severity in this new group of patients. Women are likely to seek help earlier, which reduces their duration of opioid use. The younger the patient, the shorter the duration of opioid use and the greater the likelihood of cessation of intravenous use. Public health systems should use a two-pronged treatment strategy of short but intense cessation therapies for women and younger treatment entrants and longer maintenance and replacement therapies for older treatment entrants with more psychosocial and medical complications.

Desarrollo e impacto de los sistemas informatizados de apoyo a las decisiones en el manejo clínico de la depresión: revisión sistemática / Development and impact of computerised decision support systems for clinical management of depression: a systematic review

Una de las propuestas para conseguir mejorar la práctica clínica es la incorporación de sistemas informatizados de apoyo a las decisiones (SADC) y su integración con los registros clínicos electrónicos. El objetivo de este trabajo es revisar de forma sistemática la evidencia sobre la eficacia de los SADC en el manejo de la depresión. Para ello se realizó una búsqueda bibliográfica en Medline, EMBASE y PsycInfo. La calidad de los estudios cuantitativos se evaluó mediante el método SIGN y los estudios cualitativos mediante el checklist de CASPe. Se identificaron 7 estudios (3 ensayos clínicos aleatorizados, 3 ensayos no aleatorizados y un estudio cualitativo). Los SADC evaluados incorporaron contenidos derivados de guías u otros productos basados en la evidencia. En líneas generales, los SADC mostraron un impacto positivo sobre diferentes aspectos como el cribado y diagnóstico, tratamiento, mejora de síntomas depresivos y calidad de vida y derivación de pacientes a asistencia especializada. El empleo de SADC podría optimizar la atención de la depresión en diversos escenarios mediante la provisión de recomendaciones basadas en la mejor evidencia disponible y la facilitación de la toma de decisiones de los profesionales en la práctica clínica (AU)

One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitative studies was assessed using the SIGN method, and qualitative studies using the CASPe checklist. Seven studies were identified (3 randomised clinical trials, 3 non-randomised trials, and one qualitative study). The CDSS assessed incorporated content drawn from guidelines and other evidence-based products. In general, the CDSS had a positive impact on different aspects, such as the screening and diagnosis, treatment, improvement in depressive symptoms and quality of life, and referral of patients. The use of CDSS could thus serve to optimise care of depression in various scenarios by providing recommendations based on the best evidence available and facilitating decision-making in clinical practice (AU)

Development and impact of computerised decision support systems for clinical management of depression: A systematic review.

One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitative studies was assessed using the SIGN method, and qualitative studies using the CASPe checklist. Seven studies were identified (3 randomised clinical trials, 3 non-randomised trials, and one qualitative study). The CDSS assessed incorporated content drawn from guidelines and other evidence-based products. In general, the CDSS had a positive impact on different aspects, such as the screening and diagnosis, treatment, improvement in depressive symptoms and quality of life, and referral of patients. The use of CDSS could thus serve to optimise care of depression in various scenarios by providing recommendations based on the best evidence available and facilitating decision-making in clinical practice.

Suicidality in chronic pain: predictors of suicidal ideation in fibromyalgia.

OBJECTIVES: Fibromyalgia (FM) has been associated with a higher prevalence of suicidal behavior. Nevertheless, much remains unknown about suicide risk factors for this chronic pain disorder. In the present study, the relationship of suicidal ideation in FM with a number of sociodemographic, clinical, and psychological variables was analyzed. METHODS: One hundred seventeen women with Fibromyalgia were assessed. The procedure included the exploration of sleep problems (Pittsburgh Sleep Quality Index), depression (Beck Depression Inventory [BDI]), health-related quality of life (SF-36 and Fibromyalgia Impact Questionnaire), the core symptoms of FM (visual analogue scales), and algometry of tender points. Suicidal ideation was evaluated by item 9 of the BDI. Patients with presence vs. absence of suicidal ideation were compared in all the variables studied. RESULTS: The prevalence of suicidal ideation among FM patients was 32.5%. Significant differences between patients with vs. without suicidal ideas emerged mainly for the various indices of depression. Patients with suicidal ideation also reported higher levels of anxiety, more day dysfunction due to sleepiness and more limitations due to emotional and physical problems. Logistic regression analysis revealed that cognitive depression symptoms such as BDI Self-Blame cluster are the more closely related to suicide ideation. CONCLUSIONS: The presence of suicidal ideation in FM patients is closely related to comorbid depression, anxiety and to a higher impact of the disease in daily life.

Profiles in fibromyalgia: algometry, auditory evoked potentials and clinical characterization of different subtypes.

The heterogeneity found in fibromyalgia (FM) patients has led to the investigation of disease subgroups, mainly based on clinical features. The aim of this study was to test the hypothesis that clinical FM subgroups are associated with different underlying pathophysiological mechanisms. Sixty-three FM patients were classified in type I or type II, according to the Fibromyalgia Impact Questionnaire (FIQ), and in mild/moderate versus severe FM, according to the severity of three cardinal symptoms considered in the American College of Rheumatology (ACR) 2010 criteria (unrefreshed sleep, cognitive problems and fatigue). To validate the subgroups obtained by these two classifications, we calculated the area under the receiver operating characteristic curves for various clinical variables and for two potential biomarkers of FM: Response to experimental pressure pain (algometry) and the amplitude/intensity slopes of the auditory evoked potentials (AEPs) obtained to stimuli of increasing intensity. The variables that best discriminated type I versus type II were those related to depression, while the indices of clinical or experimental pain (threshold or tolerance) did not significantly differ between them. The variables that best discriminated the mild/moderate versus severe subgroups were those related to the algometry. The AEPs did not allow discrimination among the generated subsets. The FIQ-based classification allows the identification of subgroups that differ in psychological distress, while the index based on the ACR 2010 criteria seems to be useful to characterize the severity of FM mainly based on hyperalgesia. The incorporation of potential biomarkers to generate or validate classification criteria is crucial to advance in the knowledge of FM and in the understanding of pathophysiological pathways.

Brain processing of task-relevant and task-irrelevant emotional words: an ERP study.

Although there is evidence for preferential perceptual processing of written emotional information, the effects of attentional manipulations and the time course of affective processing require further clarification. In this study, we attempted to investigate how the emotional content of words modulates cerebral functioning (event-related potentials, ERPs) and behavior (reaction times, RTs) when the content is task-irrelevant (emotional Stroop Task, EST) or task-relevant (emotional categorization task, ECT), in a sample of healthy middle-aged women. In the EST, the RTs were longer for emotional words than for neutral words, and in the ECT, they were longer for neutral and negative words than for positive words. A principal components analysis of the ERPs identified various temporospatial factors that were differentially modified by emotional content. P2 was the first emotion-sensitive component, with enhanced factor scores for negative nouns across tasks. The N2 and late positive complex had enhanced factor scores for emotional relative to neutral information only in the ECT. The results reinforce the idea that written emotional information has a preferential processing route, both when it is task-irrelevant (producing behavioral interference) and when it is task-relevant (facilitating the categorization). After early automatic processing of the emotional content, late ERPs become more emotionally modulated as the level of attention to the valence increases.