Shortened telomere length in bipolar disorder: a comparison of the early and late stages of disease

Barbé-Tuana, Florencia M.; Parisi, Mariana M.; Panizzutti, Bruna S.; Fries, Gabriel R.; Grun, Lucas K.; Guma, Fátima T.; Kapczinski, Flávio; Berk, Michael; Gama, Clarissa S.; Rosa, Adriane R.; Barbé-Tuana, Florencia M.; Parisi, Mariana M.; Panizzutti, Bruna S.; Fries, Gabriel R.; Grun, Lucas K.; Guma, Fátima T.; Kapczinski, Flávio; Berk, Michael; Gama, Clarissa S.; Rosa, Adriane R.

doi:10.1590/1516-4446-2016-1910

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Brazilian Journal of Psychiatry

Print version ISSN 1516-4446On-line version ISSN 1809-452X

Rev. Bras. Psiquiatr. vol.38 no.4 São Paulo Oct./Dec. 2016 Epub Oct 17, 2016

http://dx.doi.org/10.1590/1516-4446-2016-1910

Original Articles

Shortened telomere length in bipolar disorder: a comparison of the early and late stages of disease

Florencia M. Barbé-Tuana¹^*

Mariana M. Parisi¹^*

Bruna S. Panizzutti²³^*

Gabriel R. Fries⁴

Lucas K. Grun¹

Fátima T. Guma¹⁵

Flávio Kapczinski²³

Michael Berk⁶⁷

Clarissa S. Gama²³

Adriane R. Rosa²⁸

^¹Programa de Pós-Graduação em Bioquímica, Laboratório de Biologia Molecular e Bioinformática, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil

^²Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, UFRGS, Porto Alegre, RS, Brazil

^³Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, UFRGS, Porto Alegre, RS, Brazil

^⁴Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA

^⁵Laboratório de Bioquímica e Biologia Celular de Lipídeos, Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil

^⁶Centre for Innovation in Mental and Physical Health and Clinical Treatment (IMPACT), Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia

^⁷Department of Psychiatry, The Florey Institute of Neuroscience and Mental Health, Orygen-The National Centre of Excellence in Youth Mental Health, University of Melbourne, Parkville, Australia

^⁸Departamento de Farmacologia, UFRGS, Porto Alegre, Brazil

ABSTRACT

Objective:

Bipolar disorder (BD) has been associated with increased rates of age-related diseases, such as type II diabetes, metabolic syndrome, osteoporosis, and cardiovascular disorders. Several biological findings have been associated with age-related disorders, including increased oxidative stress, inflammation, and telomere shortening. The objective of this study was to compare telomere length among participants with BD at early and late stages and age- and gender-matched healthy controls.

Methods:

Twenty-six euthymic subjects with BD and 34 healthy controls were recruited. Genomic DNA was extracted from peripheral blood and mean telomere length was measured using real-time quantitative polymerase chain reaction.

Results:

Telomere length was significantly shorter in both the early and late subgroups of BD subjects when compared to the respective controls (p = 0.002 and p = 0.005, respectively). The sample size prevented additional subgroup analyses, including potential effects of medication, smoking status, and lifestyle.

Conclusion:

This study is concordant with previous evidence of telomere shortening in BD, in both early and late stages of the disorder, and supports the notion of accelerated aging in BD.

Key words: Bipolar disorder; telomeres; telomere shortening; senescence; genetics; oxidative stress; inflammation; mania, depression; aging

Introduction

Bipolar disorder (BD) is a chronic, severe, and disabling disorder.¹,² It is also associated with increased risk for multiple general medical conditions³ and higher mortality rates.⁴ Patients with BD experience higher rates of illnesses associated with aging, such as type II diabetes, metabolic syndrome, cancer, immune dysregulation, dementia, osteoporosis, and cardiovascular and cerebrovascular illness.⁵ Several explanations for these age-related comorbidities in BD have been proposed, such as increased oxidative stress, a chronic inflammatory process, and stress-related dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, culminating in the allostatic load (AL).²,⁶-⁹ Furthermore, unhealthy lifestyles or environmental factors (e.g., smoking, unhealthy diet, physical inactivity, psychological or physical stress) - which are frequent among bipolar patients - and adverse events of pharmacotherapy may contribute to the additional medical morbidity associated with psychiatric disorders.⁵

Telomeres are highly specialized DNA-protein structures located at the end of linear chromosomes in eukaryotic organisms. They preserve genetic information by mitigating non-homologous recombination, end-to-end fusion, and nucleolytic degradation.¹⁰ Telomere shortening is a natural physiologic process that occurs with each round of somatic cell division¹¹ and is progressive with aging.¹² However, under conditions of chronic stress, telomere shortening can be prematurely induced or accelerated.¹³ In this regard, an unhealthy lifestyle or environmental factors can have a negative effect on telomere maintenance, inducing a premature aging phenotype that can lead to cell death or eventual organ failure.

Studies investigating a connection between telomere shortening and psychiatric disorders have shown inconsistent findings. For instance, Simon et al.¹⁴ showed that patients with severe psychiatric disorders (major depression, BD, and anxiety) had shorter telomeres than healthy controls. Likewise, patients with bipolar depression presented shorter telomeres.¹⁵ These findings have not been replicated in other studies that showed no changes in telomere length (measured as the T/S ratio) in subjects with BD or schizophrenia.¹⁶ Hoen et al.¹⁷ found that anxiety disorders were strongly associated with telomere shortening after 2 years of follow-up, while no prospective correlation was observed in patients with major depression. More recently, Garcia-Rizo et al.¹⁸ reported significantly decreased telomere length in newly diagnosed, antidepressant-naïve patients with depression compared to controls. Recent evidence from a BD cohort further demonstrated that patients on long-term lithium therapy had longer telomeres (about 10%) than those not responding well to lithium or healthy controls.¹⁹ A recent study reported immunosenescent cells and shortened telomeres in female patients with BD.²⁰

A 2015 multicenter study and meta-analysis addressing whether BD can be considered an accelerated aging (AA) disease included seven cohorts with 1,115 patients.²¹ Although the authors did not find shorter telomeres in individuals with BD, they detected high heterogeneity among the methodologies employed, which could explain the unexpected similarities. To date, no studies have addressed telomere shortening in early and late stages of BD patients. Given that the issue of telomere length among BD patients is still under debate, the present study aimed to investigate the association of BD with mean telomere length in a sample of euthymic bipolar patients in the early and late stages of the disorder and thus provide additional knowledge on the impacts of early-stage BD on health and cellular aging.

Methods

Subjects

Outpatients were recruited from the Bipolar Disorder Program at Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, southern Brazil. Inclusion criteria were: 1) age > 18 years; 2) meeting DSM-IV criteria for BD type I; and 3) meeting remission criteria, defined as a score < 7 on both the 17-item Hamilton Depression Rating Scale (17-HAM-D)²² and the Young Mania Rating Scale (YMRS)²³ for at least 1 month before assessment. All patients received pharmacotherapy in accordance with predetermined protocols. Patients were classified as being in the early or late stage of BD following the Kapczinski et al. classification.²⁴

Healthy volunteers (n=34) were divided into two age- and sex-matched groups to control for age differences in the early- and late-stage experimental groups (early and late groups, age [range] = 32 [25-57] and 36 [28-64] years, respectively). All volunteers were recruited at HCPA. They had no current or previous history and no first-degree family history of major psychiatric disorders, including dementia or mental retardation, as assessed by the non-patient version of the Structured Clinical Interview for DSM-IV (SCID).

This study was approved by the HCPA Ethics Committee. Participants were informed of the goals and procedures of the study and were only included after signing an informed consent form. The investigation was carried out in accordance with the latest version of the Declaration of Helsinki.

Assessments

The SCID for DSM-IV Axis I and Axis II Disorders (SCID-I and SCID-II) assessments were administered to confirm diagnosis. Sociodemographic and clinical data were collected by administering a structured interview and examining patients’ clinical records. Raters experienced in the assessment of depressive and manic symptoms administered the 17-HAM-D and YMRS questionnaires, as well as the Functioning Assessment Short Test (FAST) to assess functioning.²⁵

Measurement of relative T/S

Laboratory staff were blinded to all clinical information. Whole peripheral venous blood was used for genomic DNA (gDNA) extraction with a commercial kit (Illustra blood genomicPrep Mini Spin Kit, GE Healthcare, Little Chalfont, England) following manufacturer instructions. Nucleic acid quantification and purity were checked spectrophotometrically (BioPhotometer plus; Eppendorf, Hamburg, Germany) and samples were stored at -20 °C for subsequent analysis. gDNA (25 ng/reaction) was used as template for quantification of relative mean T/S ratio by real-time quantitative polymerase chain reaction (qPCR), with minor modifications from a previously reported protocol.²⁶ In summary, for each sample, two separate qPCR runs were performed in triplicate in separate 96-well plates in the same position. One reaction amplified the telomere (T) repeat sequence, while the other amplified a single copy gene, 36B4 (S), which served as a quantitative control. For each participant, relative telomere length was expressed as the T/S ratio. Previously published primer sequences²⁶ were (5′→3′): tel 1, GGTTTTTGAGGGTGAGGGTGAGGGTGAGGGTGAGGGT; tel 2, TCCCGACTATCCCTATCCCTATCCCTATCCCTATCCCTA; 36B4u, CAGCAAGTGGGAAGGTGTAATCC; and 36B4d, CCCATTCTATCATCAACGGGTACAA. T and S master mix reactions were identical in a final volume of 20 µL with 0.1 x SYBR^® Green (Molecular Probes, CA, USA), 2 mM MgCl₂, and 0.1 mM each dNTP, 1% DMSO, and 0.5 U of Platinum^® Taq DNA Polymerase (Invitrogen, Carlsbad, USA). Final primer concentrations for telomere amplification were 270 and 1,125 nM for telomere primers, respectively, and 300 and 500 nM for 36B4u and 36B4d primers. PCR reactions were performed in a StepOnePlus™ Real-Time PCR System (Applied Biosystems, Carlsbad, USA) and analyzed in StepOne™ Software v.2.3. (Applied Biosystems). The thermal cycling profile for amplification consisted of an initial incubation step for 2 min at 94 °C to activate hot-start Platinum Taq DNA polymerase, followed by 22 cycles of denaturing at 94 °C for 15 s, and annealing and extension for 2 min at 54 °C for telomere amplification. For 36B4 amplification, the profile consisted of 30 cycles of denaturing at 94°C for 15 s followed by annealing and extension for 2 min at 60°C. The specificity of amplification was confirmed at the end of each run using melting curve analysis. We additionally confirmed PCR products by agarose gel electrophoresis. In each run, a reference sample was included as a calibrator to normalize the participants’ T/S ratio and calculate the final T/S ratio. Finally, to check for PCR amplification efficiency, standard curves for telomere and 36B4 amplification were generated from the reference sample over a fivefold range by serial dilution from 100 to 0.16 ng of gDNA. Inter-plate variability was 2.7%.

Statistical analysis

All statistical analysis was performed in PASW Statistics version 18. Demographic and clinical characteristics were analyzed using the chi-square test and Student t-test. Because telomere length was not always normally distributed, as tested by the Kolmogorov-Smirnov test, we compared T/S between groups nonparametrically, using the Mann-Whitney U test. A p-value < 0.005 was considered significant, and 95% confidence intervals (95%CIs) were used.

Results

The BD (n=26) and control (n=34) groups were similar regarding age and gender distribution. There were statistically significant differences in functioning in the late-stage group (p = 0.001), which was expected in view of BD progression. Other clinical and demographic characteristics of the sample are shown in Table 1. The small sample size prevented us from analyzing the effects of pharmacotherapy on telomere length. All patients were on one or more drugs for BD management, except for two receiving lithium monotherapy and one taking only olanzapine. Of the 23 other patients, 13 were on lithium, 14 were taking some antipsychotic, and four were using some antidepressant. As demonstrated in Figure 1, significantly shorter telomere length was found in early- and late-stage patients as compared with the respective control groups (p = 0.002 and p = 0.005, respectively; Mann-Whitney U test).

Table 1 Characteristics of healthy controls and patients with bipolar disorder

	Early-stage BD			Late-stage BD
	BD (n=14)	Controls (n=15)	p-value	BD (n=12)	Controls (n=19)	p-value
Gender (male/female)	3/11	6/9	0.427*	4/8	7/12	1.000*
Age (years), mean (SD)	40.71 (11.77)	38.13 (11.44)	0.555†	53.83 (11.44)	50.26 (9.48)	0.354†
BD duration (years)	8.00 (5-11.7)	-	-	22.50 (11.2-34.7)	-	-
Number of mood episodes	4.0 (2.2-5.7)	-	-	17.0 (10-40)	-	-
Education (years/study)	11.0 (8.25-12.0)	12.0 (9.0-14.0)	0.366†	8.0 (6.0-9.0)	8.0 (6.0-10.0)	0.673†
FAST	12.00 (6.0-32.0)	6.00 (4.0-12.0)	0.055‡	46.00 (35.7-54.5)	7.50 (4.2-22.5)	< 0.001‡
HAM-D	1.0 (0.0-2.25)	-	-	5.0 (3.0-2.0)	-	-
YMRS	0.0 (0.0-3.0)	-	-	1.0 (1.0-3.0)	-	-
BMI, mean (SD)	26.94 (5.99)	26.75 (3.46)	0.920†	31.56 (7.32)	26.73 (4.71)	-
Telomere length	0.85 (0.6-1.1)	1.32 (1.1-2.0)	0.002‡	0.68 (0.5-0.8)	1.15 (0.7-1.9)	0.058†

Data expressed as median (interquartile range), unless otherwise specified.

BD = bipolar disorder; BMI = body mass index; FAST = Functioning Assessment Short Test; HAM-D = Hamilton Depression Rating Scale; YMRS =Young Mania Rating Scale.

^*Chi-square,

^†Student’s t-test,

^‡Mann-Whitney U.

Figure 1 Telomere length (median and interquartile range [95% confidence interval]) in patients with BD and healthy subjects. BD = bipolar disorder; T/S ratio = telomere repeat (T) copy number to single (S) copy number (T/S). * p > 0.005, Mann-Whitney U test.

Discussion

Our results are in agreement with most previous studies that analyzed telomere length in BD, insofar as patients with BD presented shorter telomeres when compared to healthy subjects. In 2006, Simon et al.¹⁴ were the first to report shortened telomeres in subjects with mood disorders vs. healthy subjects. Three other studies subsequently reported similar findings, including a higher load of short telomeres in BD patients when compared to controls, which was associated with number of depressive episodes (many vs. few), and a mean telomere length approximately 552 base pairs shorter in BD patients.²⁷ Shorter telomeres in mononuclear cells from female euthymic bipolar patients were associated with cellular senescence.²⁰ Shorter telomere length in a sample of moderately depressed BD patients seemed not to be influenced by medication, although a decreased mean telomere length was observed in drug-free patients when compared to controls.¹⁵ In contrast, Mansour et al.¹⁶ reported no difference in telomere length between BD patients and a healthy control group.

Multiple mechanisms might be implicated in telomere shortening in BD, including oxidative stress²⁸ leading to secondary DNA damage,²⁹ inflammation,³⁰ and glucocorticoid load.⁷ Mechanistically, oxidative stress can lead to the formation of 8-oxo-7,8-dihydro-2′-deoxyguanosine (8-oxodG) at the GGG triplet in telomere sequences,³¹ which is noted to be increased in patients with BD.³² Chronic systemic inflammation has also been shown to accelerate aging via reactive oxygen species-mediated exacerbation of telomere dysfunction.³³ Of note, exacerbated oxidative stress might be a consequence of chronic activation of the autonomic and neuroendocrine stress responses,¹³ which is thought to occur in BD.⁹

Telomere shortening has also been associated with reduced activity and levels of telomerase, which is the enzyme responsible for catalyzing addition of the necessary telomeric DNA repeats onto the 3′ ends of the telomere after each cell division.¹³ Accordingly, chronically stressed individuals have shown lower telomerase activity,¹³ and ex vivo exposure of lymphocytes to cortisol has been shown to reduce telomerase activity.³⁴ HPA axis impairment has been found in patients with BD,⁷,³⁵ as demonstrated by increased cortisol levels³⁶ and cortisol non-suppression in the dexamethasone suppression test.³⁷ Increased stress exposure and cortisol levels might thus accelerate telomere shortening. In this same vein, telomerase may be a promising therapeutic target among BD patients.

Interestingly, shorter telomeres can trigger cell senescence³⁸ and apoptosis,³⁹ which is consistent with the reported increase in early apoptosis in patients with BD.⁴⁰ In addition, cell senescence is associated with increased cellular secretion of proinflammatory cytokines⁴¹,⁴² contributing to the senescence-associated secretory phenotype (SASP), which may also link telomere shortening with age-associated medical conditions, most of which are highly prevalent in patients with BD.⁵

Our results add to the evidence base because we classified BD participants into early and late stages of illness, with control groups matched for age and gender. This staging system allowed us to suggest that telomere shortening occurs early in the course of BD. This contributes to the theory that shortened telomeres in psychiatric illness may be a risk factor, both preceding and leading to all the changes in oxidative stress and inflammatory response reported in BD.⁴³ However, the precise timing of this phenomenon - whether, e.g., it is evident at the first (or the first few) episodes, or even at the prodromal stage - is unclear. Longitudinal studies are necessary to explore this question and clarify whether shortened telomeres are a result of chronic exposure to inflammation and oxidative stress or a factor leading to these systemic maladaptations. These findings may contribute to the theory of AA in BD.⁵

This finding is concordant with several aspects already known to be related to BD: increased prevalence of comorbid medical illness, structural brain alterations, cognitive and functioning impairments, oxidative stress and immunological imbalance, neurotrophic deficiencies that form the basis of neuroprogression,⁴⁴ and, ultimately, decreased telomere length.⁵ A relation between AA and AL has been proposed,⁵,⁹ whereby saturation of the body’s ability to maintain homeostasis would lead to a series of maladaptive systemic alterations (AL) resulting in an increased occurrence of comorbidities, appearing as an AA process and, possibly, resulting in decreased life expectancy due to natural causes in patients with BD.⁴⁵

Limitations of this study include the small sample size, which precluded analysis of differences in effects of medication, smoking status,⁴⁶ and lifestyle factors⁴⁷ between specific subgroups of patients. Ethnic background is a possible confounder⁴⁷; however, we did not have information about this variable. A potential gender difference, with longer telomeres in females, has been an issue of intense debate. A recent systematic review and meta-analysis of 36,230 participants may have clarified this problem, concluding that gender differences are detectable with Southern blot methods, but not when real-time PCR or flow-FISH are used.⁴⁸ Accordingly, in our sample there was no difference in T/S between males and females. Additionally, because of the cross-sectional nature of the study, causal associations could not be inferred. Finally, the lack of data on inflammation and oxidative stress might hinder a mechanistic exploration of our results.

In conclusion, our data support previous studies showing telomere shortening in a sample of euthymic bipolar patients, suggesting this is a critical mechanism present since BD onset⁴⁹ and which may play a role in the AA seen in these patients. Further studies using longitudinal designs and the possibility of including non-BD relatives will allow us to explore additional heritable traits.

Acknowledgements

This study received financial support from the Ministério da Ciência, Tecnologia e Inovação (MCT)/Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-Universal (grants 479305/2009-9, 473515/2013-0, and 443526/2014-1), CNPq Produtividade em Pesquisa (304443/2014-0), and Ciências sem Fronteiras (CSF) (40.00032/2012-0). FMB-T and BSP received fellowships from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). MMP and GRF received a fellowship from CNPq. BSP received a scholarship from CAPES/CSF and CNPq/GD. MB is supported by the National Health and Medical Research Council (NHMRC) Senior Principal Research Fellowship (1059660). ARR is grateful for the support provided by L’Oréal Brasil, Academia Brasileira de Ciências, and the UNESCO National Commission For Women in Science.

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Received: January 5, 2016; Accepted: April 19, 2016

*These authors have contributed equally to this manuscript

Correspondence: Adriane Ribeiro Rosa, Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2350, CEP 90035-903, Porto Alegre, RS, Brazil. E-mail: adrianerrosa@gmail.com

Disclosure MB has received grant/research support from Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, the Meat and Livestock Board, Organon, Novartis, Mayne Pharma, Servier, and Woolworths; has been a speaker for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Janssen-Cilag, Lundbeck, Merck, Pfizer, Sanofi-Synthélabo, Servier, Solvay, and Wyeth; and served as a consultant to AstraZeneca, BioAdvantex, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Janssen-Cilag, Lundbeck, Merck, and Servier. CSG has been a paid consultant/speaker for Actelion, Janssen-Cilag, and Lundbeck. ARR has served as speaker for Eli Lilly. The other authors report no conflicts of interest.

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