Telomere attrition is a hallmark of cellular aging and shorter telomeres have been reported in mood and anxiety disorders. Telomere shortening is counteracted by the enzyme telomerase and cellular protection is also provided by the antioxidant enzyme glutathione peroxidase (GPx). Here, telomerase, GPx, and telomeres were investigated in 46 social anxiety disorder (SAD) patients in a within-subject design with repeated measures before and after cognitive behavioral therapy. Treatment outcome was assessed by the Liebowitz Social Anxiety Scale (self-report), administered three times before treatment to control for time and regression artifacts, and posttreatment. Venipunctures were performed twice before treatment, separated by 9 weeks, and once posttreatment. Telomerase activity and telomere length were measured in peripheral blood mononuclear cells and GPx activity in plasma. All patients contributed with complete data. Results showed that social anxiety symptom severity was significantly reduced from pretreatment to posttreatment (Cohen’s d = 1.46). There were no significant alterations in telomeres or cellular protection markers before treatment onset. Telomere length and telomerase activity did not change significantly after treatment, but an increase in telomerase over treatment was associated with reduced social anxiety. Also, lower pretreatment telomerase activity predicted subsequent symptom improvement. GPx activity increased significantly during treatment, and increases were significantly associated with symptom improvement. The relationships between symptom improvement and putative protective enzymes remained significant also after controlling for body mass index, sex, duration of SAD, smoking, concurrent psychotropic medication, and the proportion of lymphocytes to monocytes. Thus, indices of cellular protection may be involved in the therapeutic mechanisms of psychological treatment for anxiety.
Psychiatric disorders have been linked to increased risks of somatic illnesses and even premature death1, although the underlying mechanisms are not clear. Recent studies raise the possibility that accelerated cellular aging and deficiencies in cellular protection contribute to this association2,3. An often-used indicator of accelerated cellular aging is telomere length measured in blood leukocytes. Telomeres protect the chromosomes from damage and shorten with age4. They are restored by the major telomere-lengthening enzyme telomerase5,6. Oxidative stress also contributes to accelerated cellular aging and cellular apoptosis7,8,9, and this process can be counteracted by antioxidant enzymes, such as glutathione peroxidase (GPx)10. A large study including >1200 participants found that anxiety-disordered patients, relative to healthy controls, exhibit shorter mean leukocyte telomere length11. This is in alignment also with other studies on disorders of the anxiety and affective spectrum12,13, including depression and posttraumatic stress disorder—for a review see Darrow et al.14. Thus, it is likely that accelerated cellular aging is involved in the pathophysiology of anxiety. Preclinical data suggest that these effects could be modulated by a compensatory activation of telomerase or GPx10,15. Moreover, telomerase activation may represent a biological mechanism mediating treatment efficacy of various psychotropics, including antidepressants15, lithium16, and antipsychotics17. A small-scale study showed that antidepressant response to a selective serotonin reuptake inhibitor (SSRI) was associated with lower pretreatment telomerase and a greater increase in telomerase activity over the course of treatment18. Markers of oxidative stress have also been related to treatment outcome19, e.g., increased oxidative stress is associated with poorer response to antidepressants20. There are also studies in healthy individuals proposing that meditation training may be associated with increased mononuclear cell telomerase activity21,22,23, and telomerase-stress reduction relationships have also been reported in obese women after mindfulness training24. Moreover, human and animal studies suggest that physical exercise increases telomerase activity25. It is also possible that beneficial effects of psychosocial interventions are linked to reduced oxidative stress. For instance, there are studies showing reductions in oxidized low-density lipoprotein after cognitive behavioral therapy (CBT) for sleep disturbance26 and major depression27. There are early reports suggesting a decrease in GPx after SSRI treatment for major depression28 and social anxiety29, while more recent studies have not found SSRI-associated GPx changes after short-30,31 or long-term32 treatment of depression. Thus, previous studies on this topic are still scarce, treatments and study populations vary, and findings have been mixed.
In sum, there is a growing literature pointing to the importance of telomere biology in psychiatric disorders and that telomere-related cellular protection may be targeted by psychosocial and behavioral interventions. To our knowledge, no previous study has investigated changes in telomerase and GPx activity after psychological treatment for a psychiatric disorder.
Anxiety disorders, including social anxiety disorder (SAD), are highly prevalent and debilitating psychiatric conditions33. In the US, the estimated lifetime prevalence is 28.8% for anxiety disorders and 12.1% for SAD34. Among currently available treatment options, CBT and SSRIs are efficacious35. However, despite robust effects35,36, a large proportion, ~40–50% of patients with SAD, has been reported to be either treatment resistant or not responding sufficiently to current treatments37. Identifying biomarkers involved in the anxiolytic response could potentially improve current clinical practice by providing targets for novel interventions and increase treatment precision. CBT delivered via the internet is a promising strategy to treat patients with SAD, and there is evidence suggesting that internet-delivered CBT is as effective as conventional CBT for this condition38. Internet-delivered interventions provide an excellent research context for clinical trials, e.g., with respect to facilitated monitoring of treatment compliance and progress39. We have previously evaluated internet-delivered CBT for SAD by use of functional and structural magnetic resonance imaging (MRI)40,41, noting a CBT-related reduction of amygdala activity as previously demonstrated for traditional CBT and SSRI pharmacotherapy42. Thus, robust effects can be expected from internet-delivered CBT for SAD, and this treatment can be used as a means to further our understanding of the biological mechanisms of action in psychological treatments.
The purpose of the present study was to investigate the relationship between telomerase and GPx enzyme activities, relative telomere length, and social anxiety symptom reduction after psychological treatment for SAD. We hypothesized that the response to CBT would be associated with improved cellular protection, as indexed by increased telomerase and GPx enzyme activities.
Materials and methods
The study was registered at ClinicalTrials.gov (id: NCT01312571), and approval was obtained from the regional ethics committee at Umeå University, Sweden (dnr: 2015-310-31 M). All participants gave written informed consent prior to participation.
Media ads targeting individuals experiencing social anxiety were used for recruitment, and individuals responded by answering online questionnaires on demographics and social anxiety, including the Liebowitz Social Anxiety Scale Self-Report (LSAS-SR)43. All participants were at least 18 years of age, had no neurological disorder, no concurrent psychological treatment and if treated with a psychotropic medication, they agreed to maintain a stable dose at least 3 months before enrollment and during treatment in the current study. All participants also met MRI safety criteria, e.g., not being pregnant and having no ferromagnetic object in the body.
A total of 51 patients with SAD were recruited, but after dropout (n = 2) and incidental findings after initial MRI (n = 3), 46 participants entered treatment. All of them remained for the final assessments. Before treatment and baseline assessments, the patients were interviewed via telephone using the full Mini-International Neuropsychiatric Interview (M.I.N.I.) version 7.0 and the social phobia section of the Structured Clinical Interview for DSM-IV—Axis I Disorders (SCID-I). The patients had to meet the diagnostic criteria for SAD as their principal diagnosis. Patients were excluded if they had a severe ongoing depression (as indexed by scoring > 34 on the self-rated Montgomery Åsberg Depression Rating Scale, MADRS-S)44, current bipolar or psychotic disorders, current alcohol or substance use disorders, or antisocial personality disorder. Other acute illness was not an exclusion criterion.
Four (9%, n = 4/46) patients were on concurrent psychotropic medication, i.e., stable dosage of SSRIs that did not change throughout the study period. Two (4%, n = 2/46) patients had previously used beta blockers in social situations but agreed not to use them during the study period. Seventeen (37%, n = 17/46) had previous experience with some form of psychological treatment but no one had an ongoing therapy. Also, the patients did not change their level of physical exercise during the study, as assessed with a single open-ended question. At the time of recruitment, one patient was on short-term sick leave due to non-psychiatric reasons (and was later not identified as an outlier on any biomarker), all the others were currently employed or students. See Table 1 for a detailed summary of descriptive characteristics. Power calculation based on the main finding in Wolkowitz et al.18 (telomerase activity change correlating with change in depressive symptoms), suggest that the achieved power in this study was above 99%.
General procedure and design
This study used a within-subject design including screening, and two baseline assessments before treatment initiation (pretreatment), and one assessment at posttreatment. Multiple baseline assessments were included to control for standard confounds related to time and measurements, like regression to the mean, repeated testing, and spontaneous remission. Two baseline assessments were separated by 9 weeks, which equals the number of weeks of the current intervention. All 46 patients contributed with complete clinical and biomarker data, and there were no missing data on the primary clinical outcome measure.
The LSAS-SR is a 24-item self-report questionnaire used internationally to assess treatment-related changes in social anxiety symptoms45. LSAS-SR was the primary outcome and all patients completed assessments at screening, first and second baseline, and posttreatment.
Internet-delivered CBT for SAD has been described extensively elsewhere46,47. Relative to conventional CBT, patients should go through the same behavioral changes, i.e., only the administration format differs. Briefly, the internet-delivered CBT was a guided self-help intervention lasting 9 weeks47. Each week, the patients were provided with a module containing text and homework assignments based on CBT. The content was standardized, i.e., all were provided with the same material, and identical to our previous randomized controlled trials (RCTs), e.g., refs. 47,48. Exposure-based exercises, a main treatment component, were introduced midway, i.e., in the fifth module of the treatment. Patients were in weekly contact with a clinical psychologist providing written feedback and guidance via a secured platform via the Internet. The clinical psychologist provided feedback on the homework assignments, and the patients undertook a weekly test with questions related to CBT and the content of the modules. To control for adherence, the patients had to give 100% correct responses on the multiple-choice questionnaire (with the possibility of redoing the test multiple times). After completion of the homework assignments and the multiple-choice quiz, the next module was made available to the patient.
Seven clinical psychologists were therapists in the current study. Five (n = 71.4%) were licensed clinical psychologists and two (n = 28.6%) were clinical psychology students in their final year and received clinical supervision. At posttreatment, the therapists gave subjective reports on each patient’s compliance to the exposure exercises, and the ratings were “no/minor”, “satisfactory”, or “to a large extent”.
Experienced research nurses collected all blood samples in the morning (from 7:00 a.m. to 11:30 a.m.) after patients had been fasting since 10:00 p.m. the night before. To ensure compliance, all the patients received a mobile phone text message the day before to remind about fasting instructions. The patients were resting for 15 min before the blood was obtained.
Whole blood was obtained in 8 ml BD Vacutainer® CPT™ Mononuclear Cell Preparation Tube—Sodium Citrate (Becton Dickinson). Plasma and mononuclear cells, being lymphocytes and monocytes, were separated within 15 min to 2 h of sampling according to manufacturer’s protocol. Briefly, whole blood was centrifuged for 20 min at 1500 g, whereafter plasma and the mononuclear cell layer were separated and centrifuged again for 15 min at 300 g with phosphate-buffered saline added to the cells for washing. The plasma was immediately frozen at –80 °C. Approximately, half of the pelleted cells were lysed by incubation with 120 µl CHAPS (Merck Millipore, including 0.15 units/µl RiboLock [LifeTechnologies, Thermo Fisher Scientific]) on wet ice for 30 min and three short vortexes, thereafter the lysate was stored at –80 °C.
Approximately, half of the pelleted cells were stored at –80 °C until DNA extraction. Genomic DNA was extracted using DNeasy® Blood & Tissue Kit (Qiagene), with a modified protocol to reduce DNA shearing. Briefly, cell lysis was done at 37 °C for 3 h, vortex was avoided, and centrifugations were performed at 6000 g49. DNA concentration was quantified with NanoDrop ND-1000 Spectrophotometer (Nano-Drop Technologies Inc., Wilmington, DE, USA).
Differential leukocyte counts were determined in whole blood collected in ethylenediaminetetraacetic acid (EDTA) tubes by the University Hospital of Umeå.
Telomerase activity assay
Telomerase activity was assayed by modified real-time telomeric repeat amplification protocol50. Samples, controls, and standard curve dilutions were run in triplicate, and standard curve and controls were present on all plates. All samples from each patient were run on the same plate. Efficiency was 95–101%. The mean of the correlation coefficients of the standard curves were all above 0.98. The coefficients of variation (CV) of intra-assay Ct values for the standard dilutions of the four plates was 1.0% and inter-assay was 0.47%. The detection success rate was 100%, and all samples were run in the same batch. See also Supplementary Material.
GPx activity assay
GPx activity was determined using BioVision Glutathione Peroxidase Activity Colorimetric Assay Kit (Catalog#K726-100) according to the protocol, where the GPx activity was calculated using an NADPH standard curve. The correlation coefficients of the standard curves were all above 0.99. The inter-plate CV of GPx activity was 6.3% and the within-plate CV was 4.4% calculated from positive control run in nine 96-well plates. The assay success rate was 100% (n = 46 at each timepoint), and all samples were run in the same batch. See also Supplementary Material.
Relative telomere length assay
Relative telomere length was determined using real-time quantitative PCR according to Cawthon et al.’s protocol51, where the relative telomere to single copy gene (T/S) ratios was determined using a standard curve. In brief, each DNA sample (10 ng) was assessed for the telomere and the single-copy gene (hemoglobin-b, HBB) in triplicate within the same 384-well plate, amplified by using Platinum® SYBR® Green and 0.5 µM of each primer in 10 µl total reaction volume. The correlation coefficients of the standard curves were above 0.99 for each primer set and 384 plate. The inter-plate CV of T/S ratio was 6.3% calculated from a patient sample run in four 384-well plates. The detection success rate was 100%. Samples from all three timepoints per individual were assayed in the same 384-well plate. See also Supplementary Material.
There is evidence that smoking, sex, and body mass index (BMI) are linked to leukocyte telomere length, i.e., smokers52, males53, and high BMI54 are associated with shorter telomeres. Changes in telomerase activity are associated with antidepressant response18. Also, in a large study duration of depressive disorder was inversely associated with telomere length55. In the current study, we were interested in the psychological treatment response in relation to biomarkers, and thus, smoking, BMI, concurrent SSRIs, and duration of illness were considered possible confounders. For calculations of pre–post change in telomerase and telomere length showing statistical significance, change in the proportion of lymphocytes to monocytes was added as a nuisance variable56.
Demographic, clinical, and biomarker statistics were evaluated using the STATA Statistical Software, v. 15.0 (STATA Corporation, College Station, TX, USA).
Generalized Estimating Equations (GEE) with exchangeable correlation structure were used to evaluate panel data on treatment effects across time. Linear regression models were used to assess associations between biomarkers and clinical outcome. The linear regression models including biomarkers and symptom scores were checked for outliers using measures of influence (Cook’s D)57, discrepancy (studentized residuals), and Hosmer–Lemeshow leverage. Individual values with both high influence (Cook’s D > 4/46 = 0.09) and either high residuals (±3) or leverage (>2/46 = 0.04) were determined to be outliers. One patient’s baseline GPx, and two patients’ baseline telomerase were outliers. Three patients’ telomerase change, two patients’ GPx change, and two patients’ change in telomere length were determined to be outliers and excluded from further linear regression. To account for normality violations in biomarkers, nonparametric bootstrapping (×1000) was used to estimate standard errors (Bootstrapped Standard Errors) in the GEE’s and linear regression models.
Within-group effect sizes (Cohen’s d) were based on observed values and calculated by dividing the mean difference with respective standard deviations and correction for the correlation between timepoints. Pre–post change on LSAS-SR was determined by calculating each patient’s change score from pretreatment (mean of the screening, the first and second baseline assessment) to posttreatment [posttreatment – (mean baseline)]. Similarly, the change scores are reported for biomarkers. BMI, sex, duration of SAD, smoking, and concurrent SSRI-treatment were added as covariates in multiple regressions, including the respective biomarker.
Main effect of treatment on social anxiety symptoms
Self-reported social anxiety
As shown in Fig. 1, LSAS-SR scores from screening (LSAS-SR mean = 77.98, s.e. = 3.00, 95% confidence interval (CI) 72.09, 83.86) did not change significantly to the first (Z = 0.78, p = 0.438) or second baseline (Z = 1.81, p = 0.071). As expected, LSAS-SR scores decreased markedly (B = –33.46, s.e. = 2.55, Z = 13.13, p < 0.001) to posttreatment (LSAS-SR mean = 44.52, s.e. = 3.00, 95% CI 38.64, 50.41). The within-group Cohen’s d effect size for improvement (difference between the mean of screening, first and second baseline, and posttreatment) was large (d = 1.46; 95% CI 1.05, 1.87).
The mean (±s.d.) number of completed treatment modules was 7.8 (±1.8), and 78.3% (n = 36/46) of the patients completed at least seven out of nine modules. Six patients did not complete the fifth module in which the exposure interventions were initiated; thus, 40 patients undertook exposure interventions. The clinical psychologists estimated that 35.0% (n = 14/40) completed “some” exposure exercises, while 47.5% (n = 19/40) performed exposure exercises “to a large extent”.
Across all patients, there was an association between compliance to exposure exercises and reduction of LSAS-SR symptoms (pretreatment vs posttreatment; Adj-R2 = 0.08, β = –0.31, B = –6.19, BSE = 2.47, Z = 2.51, p = 0.012). LSAS-SR at baseline was not associated with compliance to exposure (β = –0.05, p = 0.729).
Pretreatment telomerase, GPx, and relative telomere length as predictors of treatment response
Pretreatment telomerase activity was significantly associated with pre–post changes in LSAS-SR (Adj-R2 = 0.10, β = 0.35, B = 27.34, BSE = 11.35, Z = 2.41, p = 0.016), with lower levels of telomerase activity predicting greater improvement in social anxiety. This association remained after adding the proportion of lymphocytes to monocytes (p = 0.024), BMI (p = 0.021), sex (p = 0.031), years with SAD (p = 0.009), smoking (p = 0.018), and concurrent SSRIs (p = 0.013) as nuisance variables. Neither pretreatment GPx activity (β = 0.19, Z = 1.53, p = 0.127) nor pretreatment telomere length (β = 0.02, Z = 0.14, p = 0.890) were significantly associated with pre–post change in LSAS-SR symptoms. Furthermore, as implemented in regression models with age as a covariate of no interest, telomerase (p = 0.906), GPx (p = 0.900), and telomere length (p = 0.870) at baseline, were not associated with length of illness, i.e., number of years with SAD.
Changes in telomerase and GPx activities, and telomere length over the course of treatment
Telomerase activity was stable from first to second baseline (B = 0.05, BSE = 0.05, Z = 1.16, p = 0.246), and to posttreatment (B = 0.03, BSE = 0.07, Z = 0.48, p = 0.633). GPx activity was stable across the two baselines (B = –3.45, BSE = 2.77, Z = 1.25, p = 0.213), but then increased significantly to posttreatment (B = 9.60, BSE = 3.34, Z = 2.87, p = 0.004; see Fig. 2). After adding covariates (i.e., BMI, sex, years with disorder, smoking, and concurrent SSRIs), the pre-to-post increase in GPx remained significant (p < 0.006). Relative leukocyte telomere length did not change from the first to second baseline B = 0.01, BSE = 0.03, Z = 0.31, p = 0.753; or to posttreatment, B = –0.01, BSE = 0.03, Z = 0.32, p = 0.746.
Associations between telomerase, GPx, relative telomere length, and treatment response
Telomerase activity and treatment response
Pre–post change in telomerase activity was negatively associated with pre–post change in LSAS-SR, indicating that patients with increases in telomerase activity over the course of treatment exhibited greater reduction of social anxiety symptoms (Adj-R2 = 0.09, β = –0.33, B = –25.21, BSE = 7.82, Z = 3.22, p = 0.001); Fig. 3a. Change in telomerase activity remained significantly associated with pre–post change in LSAS-SR also after adding baseline LSAS-SR severity to the regression model (Adj-R2 = 0.16, Z = 2.97, p = 0.003).
GPx activity and treatment response
Pre–post change in GPx activity was negatively associated with pre–post change in LSAS-SR, indicating that patients with increased GPx activity showed greater reduction of social anxiety (Adj-R2 = 0.05, β = –0.28, B = –0.26, BSE = 0.11, Z = 2.34, p = 0.024; Fig. 3b). Change in GPx activity remained significantly associated with pre–post change in LSAS-SR also after adding baseline LSAS-SR severity to the regression model (Adj-R2 = 0.08, Z = 2.19, p = 0.029).
Relative telomere length and treatment response
Pre–post change in relative telomere length was not significantly associated with pre–post change in LSAS-SR (Adj-R2 < 0.01, β = 0.14, B = 26.22, BSE = 26.11, Z = 1.00, p = 0.315).
Concurrent changes in telomerase, GPx enzyme activities and relative telomere length
Pre–post changes in telomerase and GpX activity were not significantly associated (β = 0.08, p = 0.565). Similarly, telomerase (β = –0.05, p = 0.781) or GpX (β = 0.04, p = 0.844) were not significantly associated with telomere length alterations from pretreatment to posttreatment. Because both telomerase and GPx changes were associated with LSAS-SR symptom change, both were included in the same multiple regression model, which also included telomere length changes. Alterations in telomerase and GPx activities were still independently and significantly associated with pre–post change in LSAS-SR (Adj-R2 = 0.26; telomerase: β = –0.32, B = –22.47, BSE = 6.64, Z = 3.38, p = 0.002; GPx: β = –0.34, B = –0.30, BSE = 0.11, Z = 2.78, p = 0.009). Importantly, after adding the covariates, i.e., BMI (p ≤ .010), sex (p ≤ .019), years with SAD (p ≤ .012), smoking (p ≤ .004), concurrent SSRIs (p ≤ .017), and pre–post change in proportion of lymphocytes to monocytes (p ≤ 0.020), the significant relationships remained between changes in LSAS-SR symptoms and telomerase and GPx activity, respectively.
In this longitudinal study, indices of cellular aging and oxidative stress protection were assessed twice before, and immediately after a psychological treatment (CBT) for a common psychiatric disorder (SAD). A large within-group treatment effect (Cohen’s d = 1.46) was observed on the primary social anxiety measure, indicating substantial symptom improvement that exceeded effects reported in our previous RCTs on internet-delivered CBT for SAD, e.g., refs. 47,48,58. We found that putatively enhanced cellular protection, as indexed by increases in activity of the telomere-preserving enzyme telomerase and antioxidant enzyme GPx, paralleled social anxiety reduction. Also, pretreatment telomerase activity was predictive of symptom improvement. Although enzyme activities did not increase in all patients, those who showed the greatest clinical improvement were more likely to show increases in telomerase or GPx activity over the course of treatment. Interestingly, anxiety-related changes in GPx and telomerase activity were statistically unrelated, suggesting at least partially independent cellular mechanisms underlying the beneficial effects of treatment. GPx is primarily involved in redox homeostasis as well as several other important functions59, whereas, telomerase is involved in telomere maintenance and a wide variety of extratelomeric functions, including suspected neuroprotective and antidepressant-like effects. The intracellular effects of GPx involve enzymatic reduction of hydrogen peroxide to water, thereby limiting its harmful effects60. Reactive oxygen species including hydrogen peroxide are also involved in other cellular processes, such as mitochondrial function and growth factor-mediated cell signaling, thus GPx may also affect such aspects of cellular function60.
Telomere maintenance, telomerase, and oxidative stress have complicated intracellular relationships. Telomeres are particularly sensitive to shortening under conditions of oxidative stress61. Telomerase re-extends telomeres, but under conditions of oxidative stress, it shuttles from the nucleus to the mitochondria62,63,64, where it protects mitochondria biogenesis and decreases oxidative stress, partly by potentiating cellular antioxidant defense systems, such as by increasing the ratio of reduced (GSH) to oxidized (GSSG) glutathione65 that is catalyzed by GPx and glutathione reductase activities. Thus, telomerase and GPx are expected to have cellular protective effects, either at the locus of the nucleus or the mitochondria. Apart from affecting redox homeostasis, GPx is also involved in several other pathways59, making it difficult to ascribe particular functions to its role in the present findings. Due to limitations in our ability to pinpoint the subcellular localization of these enzymes in different clinical conditions, it would be only speculative to posit specific intracellular mechanisms related to the effects we report. Increases in both telomerase and GPx activities could reflect a more favorable cellular milieu and it is possible that these functions are linked to symptom improvement following CBT. This is, to the best of our knowledge, the first study to demonstrate evidence of increased cellular protection indices in psychiatric patients after a psychosocial intervention.
The current findings are in line with Wolkowitz et al.18 showing that both lower baseline telomerase activity, and greater increase in telomerase activity over 8 weeks of SSRI treatment were associated with superior antidepressant response in patients with major depression. It has been speculated that improved telomerase activity is a possible mechanism of action by psychotropic medications17. Here, we found that a psychological treatment targeting a common anxiety disorder was associated with increases in telomerase activity, suggesting that also nonpharmacological interventions for psychiatric conditions may influence indices of cellular aging. It is possible that the relationship between increased telomerase activity and successful treatment response cuts across different treatment modalities and diagnostic groups, although it is still unknown whether this is a causal mechanism. With regards to behavioral change, physical exercise can affect cellular aging and telomerase activity in the healthy individuals without a psychiatric disorder (for a review see Deng et al.)25. The patients in the current study did not change their level of physical exercise throughout the study period, making this confound unlikely. Our results partly support the hypothesis that accelerated cellular aging in individuals with psychiatric conditions could be a reversible process66, and that some of these effects, to the extent they exist, may be mediated via mechanisms involving telomerase and/or an antioxidant enzyme systems. The short-term increases in telomerase and GPx activations were not significantly related to telomere length. Telomeres are dynamic and changes in leukocyte telomere length can be detected after a few months67. The current CBT was in total 9 weeks, thus, this time frame is too narrow to determine treatment-related telomere length alterations. Changes in relative telomere length in association with cellular protection and reductions in social anxiety, needs to be investigated with long-term follow-ups.
Treatment-associated increases in the antioxidative stress marker GPx activity were related to reduced social anxiety. There is previous evidence demonstrating CBT-associated oxidative stress reductions in relation to improved mental health26,27. Thus, it is possible that the antioxidant GPx is linked to reduced anxiety and oxidative stress. In the present study, we did not, however, measure oxidative stress substrate markers, such as F2-isoprostanes, 8-OHdG, or malondialdehyde. There are some suggestions that GPx activity is directly, rather than inversely, correlated with oxidation by-products, signifying a homeostatic response to elevated oxidative stress68. In the absence of other measures, it is not known if the observed increases in GPx activity with treatment are correlated with increased or decreased oxygen/nitrogen free radicals. Thus, we were not able to determine net changes in oxidative status20,69. There have been mixed findings regarding therapeutic responses and GPx activity alterations, with reports of no changes, increases and reductions20,29,31. We assayed GPx activity in plasma, whereas some other studies testing the relationship between GPx and antidepressant response assessed GPx activity in hemolyzed erythrocytes28,29. Although the significance of differences between these two compartments are not fully understood, they are genetically and immunologically distinct and show different physical and kinetic properties70. Thus, our GPx results cannot uncritically be compared with the results of some previous studies.
This study included multiple and complete biological assessments of all treated patients and we had no patients dropping out from CBT. However, among the limitations it should be noted that our study was not an RCT, thereby lacking active treatment or psychological placebo control groups. This is partly because the treatment program has been evaluated previously in numerous RCTs47,48 and we here sought to maximize the number of subjects receiving CBT in order to reveal treatment effects on cellular markers with sufficient statistical power. Nevertheless, we included multiple baseline assessments to control for standard confounds related to time and repeated testing, noting no changes between the two baselines, marked symptom improvement after treatment onset and a significant association between compliance to exposure exercises and anxiety relief. A minority of the patients had concurrent SSRI medication, but results remained significant after adding this as a nuisance variable. Thus, it is reasonable to assume that improved symptomatology is explained mainly by the psychological intervention alone. Considering the stable pharmacotherapy and low number of concurrent mental and somatic illnesses, other pharmacological explanations to the current effects on telomerase activity and GPx are also unlikely. Telomerase activity was measured in peripheral blood mononuclear cells, therefore, possible changes in telomerase, but not GPx, could be confounded by changes in the cellular subtype composition in the blood samples obtained. However, the ratio of these cell types was added as nuisance variable, and the results did not alter accordingly.
Apart from further validating internet-delivered CBT as an effective psychological treatment for SAD, our findings suggest improvement in indices of cellular health in tandem with mental health. The current findings are novel and need to be replicated, but provide initial evidence for the notion that biological processes related to cellular protection are involved in the response to a psychosocial intervention for anxiety and are also potentially useful for treatment prediction. Identifying biological correlates of successful treatments, at the cellular level, could advance our understanding of the mechanisms underlying remission, and pave the way for the development of novel treatment options.
All the STATA statistical software commands are available upon request to the corresponding author.
Penninx, B. W., Milaneschi, Y., Lamers, F. & Vogelzangs, N. Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile. BMC Med. 11, 129 (2013).
Lindqvist, D. et al. Psychiatric disorders and leukocyte telomere length: underlying mechanisms linking mental illness with cellular aging. Neurosci. Biobehav. Rev. 55, 333–364 (2015).
Epel, E. S. et al. Accelerated telomere shortening in response to life stress. Proc. Natl Acad. Sci. USA 101, 17312–17315 (2004).
Harley, C. B., Futcher, A. B. & Greider, C. W. Telomeres shorten during ageing of human fibroblasts. Nature 345, 458–460 (1990).
Greider, C. W. & Blackburn, E. H. Identification of a specific telomere terminal transferase activity in Tetrahymena extracts. Cell 43, 405–413 (1985).
Greider, C. W. & Blackburn, E. H. The telomere terminal transferase of Tetrahymena is a ribonucleoprotein enzyme with two kinds of primer specificity. Cell 51, 887–898 (1987).
Espinoza, S. E. et al. Glutathione peroxidase enzyme activity in aging. J. Gerontol. A Biol. Sci. Med. Sci. 63, 505–509 (2008).
von Zglinicki, T. Oxidative stress shortens telomeres. Trends Biochem. Sci. 27, 339–344 (2002).
Monaghan P., Ozanne S. E. Somatic growth and telomere dynamics in vertebrates: relationships, mechanisms and consequences. Philos. Trans. R Soc. Lond. B Biol. Sci. 373, https://doi.org/10.1098/rstb.2016.0446.
Kayanoki, Y. et al. The protective role of glutathione peroxidase in apoptosis induced by reactive oxygen species. J. Biochem. 119, 817–822 (1996).
Verhoeven, J. E. et al. Anxiety disorders and accelerated cellular ageing. Br. J. Psychiatry 206, 371–378 (2015).
Kananen, L. et al. Childhood adversities are associated with shorter telomere length at adult age both in individuals with an anxiety disorder and controls. PLoS ONE 5, e10826 (2010).
Needham, B. L. et al. Depression, anxiety and telomere length in young adults: evidence from the National Health and Nutrition Examination Survey. Mol. Psychiatry 20, 520–528 (2015).
Darrow, S. M. et al. The association between psychiatric disorders and telomere length: a meta-analysis involving 14,827 persons. Psychosom. Med. 78, 776–787 (2016).
Zhou, Q.-G. et al. Hippocampal telomerase is involved in the modulation of depressive behaviors. J. Neurosci. 31, 12258–12269 (2011).
Wei, Y. B., Backlund, L., Wegener, G., Mathé, A. A. & Lavebratt, C. Telomerase dysregulation in the hippocampus of a rat model of depression: normalization by lithium. Int. J. Neuropsychopharmacol. 18, yv002 (2015).
Bersani, F. S. et al. Telomerase activation as a possible mechanism of action for psychopharmacological interventions. Drug Disco. Today 20, 1305–1309 (2015).
Wolkowitz, O. M. et al. Resting leukocyte telomerase activity is elevated in major depression and predicts treatment response. Mol. Psychiatry 17, 164–172 (2012).
Michel, T. M., Pülschen, D. & Thome, J. The role of oxidative stress in depressive disorders. Curr. Pharm. Des. 18, 5890–5899 (2012).
Lindqvist, D. et al. Oxidative stress, inflammation and treatment response in major depression. Psychoneuroendocrinology 76, 197–205 (2017).
Schutte, N. S. & Malouff, J. M. A meta-analytic review of the effects of mindfulness meditation on telomerase activity. Psychoneuroendocrinology 42, 45–48 (2014).
Lavretsky, H. et al. A pilot study of yogic meditation for family dementia caregivers with depressive symptoms: effects on mental health, cognition, and telomerase activity. Int. J. Geriatr. Psychiatry 28, 57–65 (2013).
Jacobs, T. L. et al. Intensive meditation training, immune cell telomerase activity, and psychological mediators. Psychoneuroendocrinology 36, 664–681 (2011).
Daubenmier, J. et al. Changes in stress, eating, and metabolic factors are related to changes in telomerase activity in a randomized mindfulness intervention pilot study. Psychoneuroendocrinology 37, 917–928 (2012).
Deng, W., Cheung, S. T., Tsao, S. W., Wang, X. M. & Tiwari, A. F. Y. Telomerase activity and its association with psychological stress, mental disorders, lifestyle factors and interventions: a systematic review. Psychoneuroendocrinology 64, 150–163 (2016).
Chen, H.-Y. et al. Cognitive-behavioral therapy for sleep disturbance decreases inflammatory cytokines and oxidative stress in hemodialysis patients. Kidney Int. 80, 415–422 (2011).
Kaufmann, F. N. et al. Cognitive psychotherapy treatment decreases peripheral oxidative stress parameters associated with major depression disorder. Biol. Psychol. 110, 175–181 (2015).
Bilici, M. et al. Antioxidative enzyme activities and lipid peroxidation in major depression: alterations by antidepressant treatments. J. Affect Disord. 64, 43–51 (2001).
Atmaca, M., Tezcan, E., Kuloglu, M., Ustundag, B. & Tunckol, H. Antioxidant enzyme and malondialdehyde values in social phobia before and after citalopram treatment. Eur. Arch. Psychiatry Clin. Neurosci. 254, 231–235 (2004).
Sarandol, A. et al. Major depressive disorder is accompanied with oxidative stress: short-term antidepressant treatment does not alter oxidative-antioxidative systems. Hum. Psychopharmacol. 22, 67–73 (2007).
Gałecki, P., Szemraj, J., Bieńkiewicz, M., Florkowski, A. & Gałecka, E. Lipid peroxidation and antioxidant protection in patients during acute depressive episodes and in remission after fluoxetine treatment. Pharm. Rep. 61, 436–447 (2009).
Kotan, V. O., Sarandol, E., Kirhan, E., Ozkaya, G. & Kirli, S. Effects of long-term antidepressant treatment on oxidative status in major depressive disorder: a 24-week follow-up study. Prog. Neuropsychopharmacol. Biol. Psychiatry 35, 1284–1290 (2011).
Wittchen, H. U. et al. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur. Neuropsychopharmacol. 21, 655–679 (2011).
Kessler, R. C. et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 62, 593–602 (2005).
Mayo-Wilson, E. et al. Psychological and pharmacological interventions for social anxiety disorder in adults: a systematic review and network meta-analysis. Lancet Psychiatry 1, 368–376 (2014).
Acarturk, C., Cuijpers, P., van Straten, A. & de Graaf, R. Psychological treatment of social anxiety disorder: a meta-analysis. Psychol. Med. 39, 241–254 (2009).
Blanco, C., Bragdon, L. B., Schneier, F. R. & Liebowitz, M. R. The evidence-based pharmacotherapy of social anxiety disorder. Int. J. Neuropsychopharmacol. 16, 235–249 (2013).
Carlbring, P., Andersson, G., Cuijpers, P., Riper, H. & Hedman-Lagerlöf, E. Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis. Cogn. Behav. Ther. 47, 1–18 (2018).
Andersson, G. & Titov, N. Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry 13, 4–11 (2014).
Månsson, K. N. T. et al. Neuroplasticity in response to cognitive behavior therapy for social anxiety disorder. Transl. Psychiatry 6, e727 (2016).
Månsson, K. N. T. et al. Altered neural correlates of affective processing after internet-delivered cognitive behavior therapy for social anxiety disorder. Psychiatry Res. 214, 229–237 (2013).
Furmark, T. et al. Common changes in cerebral blood flow in patients with social phobia treated with citalopram or cognitive-behavioral therapy. Arch. Gen. Psychiatry 59, 425–433 (2002).
Baker, S. L., Heinrichs, N., Kim, H.-J. & Hofmann, S. G. The Liebowitz social anxiety scale as a self-report instrument: a preliminary psychometric analysis. Behav. Res. Ther. 40, 701–715 (2002).
Svanborg, P. & Åsberg, M. A comparison between the Beck Depression Inventory (BDI) and the self-rating version of the Montgomery Asberg Depression Rating Scale (MADRS). J. Affect Disord. 64, 203–216 (2001).
Fresco D. M. et al. The liebowitz social anxiety scale: a comparison of the psychometric properties of self-report and clinician-administered formats. Psychol. Med. 31, https://doi.org/10.1017/S0033291701004056.
Andersson, G. Internet-delivered psychological treatments. Annu. Rev. Clin. Psychol. 12, 157–179 (2016).
Andersson, G. et al. Internet-based self-help with therapist feedback and in vivo group exposure for social phobia: a randomized controlled trial. J. Consult Clin. Psychol. 74, 677–686 (2006).
Furmark, T. et al. Guided and unguided self-help for social anxiety disorder: randomised controlled trial. Br. J. Psychiatry 195, 440–447 (2009).
O’Callaghan, N. J. & Fenech, M. A quantitative PCR method for measuring absolute telomere length. Biol. Proced. Online 13, 3 (2011).
Hou, M., Xu, D., Björkholm, M. & Gruber, A. Real-time quantitative telomeric repeat amplification protocol assay for the detection of telomerase activity. Clin. Chem. 47, 519–524 (2001).
Cawthon, R. M. Telomere measurement by quantitative PCR. Nucleic Acids Res. 30, e47 (2002).
Huzen, J. et al. Telomere length loss due to smoking and metabolic traits. J. Intern. Med. 275, 155–163 (2014).
Gardner, M. et al. Gender and telomere length: systematic review and meta-analysis. Exp. Gerontol. 51, 15–27 (2014).
Gielen, M. et al. Body mass index is negatively associated with telomere length: a collaborative cross-sectional meta-analysis of 87 observational studies. Am. J. Clin. Nutr. 108, 453–475 (2018).
Verhoeven, J. E. et al. Major depressive disorder and accelerated cellular aging: results from a large psychiatric cohort study. Mol. Psychiatry 19, 895–901 (2014).
Pritchard D. A. Estimating Cell-Type Profiles and Cell-Type Proportions in Heterogeneous Gene Expression Data http://etd.auburn.edu/handle/10415/3156 (2012).
Cook, R. D. Detection of influential observation in linear regression. Technometrics 19, 15–18 (1977).
El Alaoui, S. et al. Effectiveness of Internet-based cognitive-behavior therapy for social anxiety disorder in clinical psychiatry. J. Consult. Clin. Psychol. 83, 902–914 (2015).
Lushchak, V. I. Glutathione homeostasis and functions: potential targets for medical interventions. J. Amino Acids 2012, 736837 (2012).
Lubos, E., Loscalzo, J. & Handy, D. E. Glutathione peroxidase-1 in health and disease: from molecular mechanisms to therapeutic opportunities. Antioxid. Redox Signal. 15, 1957–1997 (2011).
Saretzki, G. Telomeres, telomerase and ageing. Subcell. Biochem. 90, 221–308 (2018).
Ahmed, S. et al. Telomerase does not counteract telomere shortening but protects mitochondrial function under oxidative stress. J. Cell Sci. 121, 1046–1053 (2008).
Passos, J. F., Saretzki, G. & von Zglinicki, T. DNA damage in telomeres and mitochondria during cellular senescence: is there a connection? Nucleic Acids Res. 35, 7505–7513 (2007).
Saretzki, G. Extra-telomeric functions of human telomerase: cancer, mitochondria and oxidative stress. Curr. Pharm. Des. 20, 6386–6403 (2014).
Indran, I. R., Hande, M. P. & Pervaiz, S. hTERT overexpression alleviates intracellular ROS production, improves mitochondrial function, and inhibits ROS-mediated apoptosis in cancer cells. Cancer Res. 71, 266–276 (2011).
Verhoeven, J. E., Révész, D. & Wolkowitz, O. M. Penninx BWJH. Cellular aging in depression: permanent imprint or reversible process? Bioessays 36, 968–978 (2014).
Svenson, U. et al. Blood cell telomere length is a dynamic feature. PLoS ONE 6, e21485 (2011).
Lindqvist, D. et al. Circulating cell-free mitochondrial DNA, but not leukocyte mitochondrial DNA copy number, is elevated in major depressive disorder. Neuropsychopharmacology 43, 1557–1564 (2018).
Lindqvist, D. et al. Peripheral antioxidant markers are associated with total hippocampal and CA3/dentate gyrus volume in MDD and healthy controls–preliminary findings. Psychiatry Res.: Neuroimaging 224, 168–174 (2014).
Takahashi, K. et al. Primary structure of human plasma glutathione peroxidase deduced from eDNA sequences. J. Biochem. 108, 145–148 (1990).
Dr. Furmark gratefully acknowledges support by research grants from the Swedish Brain Foundation (FO2016-0106 and FO2018-0255), the Swedish Research Council (2016-0228), and Riksbankens Jubileumsfond—the Swedish Foundation for Humanities and Social Sciences (2017-0639:1). Dr. Lindqvist gratefully acknowledges support from the Swedish Research Council (2015-00387), Marie Sklodowska Curie Actions, Cofund (Project INCA 600398), the Swedish Society of Medicine, the Söderström-Königska Foundation, the Sjöbring Foundation, and OM Persson Foundation and the province of Scania (Sweden) state grants (ALF). Dr. Lavebratt gratefully acknowledges support from the Swedish Research Council (2014-10171), the Swedish Brain Foundation, the regional agreement (ALF) on medical training, and clinical research between Stockholm County Council and Karolinska Institutet and the Ekhaga Foundation. The authors would like to express their sincere gratitude to the staff of Kliniskt Forskningscentrum, Biobanken Norr, and Klinisk Kemi at Umeå University Hospital for providing excellent research conditions, with special thanks to Camilla Ring, Inger Arnesjö, Ingegerd Valinger, Kerstin Enquist Olsson, Gunilla Backman, and Lena Nordström. We also warmly thank all the participants for providing complete behavioral data and blood samples.
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Månsson, K.N.T., Lindqvist, D., Yang, L.L. et al. Improvement in indices of cellular protection after psychological treatment for social anxiety disorder. Transl Psychiatry 9, 340 (2019). https://doi.org/10.1038/s41398-019-0668-2
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