- Open Access
Omega-3 fatty acids in bipolar patients with a low omega-3 index and reduced heart rate variability: the “BIPO-3” trial
International Journal of Bipolar Disorders volume 10, Article number: 9 (2022)
Research suggests that a low omega-3 index may contribute to the low heart rate variability and the increased risk of cardiovascular morbidity and mortality in bipolar disorders. However, so far, no intervention trial with EPA and DHA has been conducted in bipolar patients attempting to increase their heart rate variability.
119 patients with bipolar disorder according to DSM-IV were screened, with 55 euthymic bipolar patients—owing to inclusion criteria (e.g. low omega-3 index (< 6%), SDNN < 60 ms.)—being enrolled in a randomized, double-blind, 12-week parallel study design with omega-3 fatty acids (4 capsules of 530 mg EPA, 150 mg DHA) or corn oil as a placebo, in addition to usual treatment. Heart rate variability as well as the omega-3 index were measured at baseline and at the endpoint of the study.
A total of 42 patients (omega-3: n = 23, corn oil: n = 19) successfully completed the study after 12 weeks. There was a significant increase in the omega-3 index (value at endpoint minus value at baseline) in the omega-3 group compared to the corn oil group (p < 0.0001). However, there was no significant difference in the change of the SDNN (value at endpoint minus value at baseline) between the treatment groups (p = 0.22). In addition, no correlation between changes in SDNN and change in the omega-3 index could be detected in the omega-3 group (correlation coefficient = 0.02, p = 0.94) or the corn oil group (correlation coefficient = − 0.11, p = 0.91). Similarly, no significant differences between corn oil and omega-3 group regarding the change of LF (p = 0.19), HF (p = 0.34) and LF/HF ratio (p = 0.84) could be demonstrated.
In our randomized, controlled intervention trial in euthymic bipolar patients with a low omega-3 index and reduced heart rate variability no significant effect of omega-3 fatty acids on SDNN or frequency-domain measures HF, LF and LF/HF ratio could be detected. Possible reasons include, among others, the effect of psychotropic medication present in our trial and/or the genetics of bipolar disorder itself. Further research is needed to test these hypotheses.
Trial registration ClinicalTrials.gov, NCT00891826. Registered 01 May 2009–Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT00891826
Bipolar disorders are common diseases, with a lifetime prevalence of around 1–5%, depending on the definition applied (Merikangas et al. 2011) and are associated with substantial disability (Vos et al. 2012) and reduced life expectancy Kessing et al. 2015a, b). Most studies suggest that patients with bipolar disorders are at increased risk of cardiovascular morbidity and mortality (Goldstein et al. 2015a, b; Marshe al. 2017; Prieto et al. 2014; Wulsin et al. 2018). A low heart rate variability (HRV) is thought to be a risk factor for cardiovascular morbidity and mortality (Huikuri and Stein 2013), specifically in patients with affective disorders and comorbid heart disease (Carney et al. 2005). Even when being euthymic, i.e. showing no significant symptoms, a substantial proportion of bipolar patients, possibly in particular those with more advanced stages of the disorder (Freyberg et al. 2020), have decreased heart rate variability compared to a control group, irrespective of specific pharmacological treatment, possibly indicating a shift of sympathovagal balance towards vagal tone predominance and a reduced sympathetic tone (Cohen et al. 2003). The reasons for this are still largely unclear (Drewery et al. 2017; Faurholt-Jepsen et al. 2017). Notwithstanding, the available data suggest that reduced heart rate variability could therefore contribute to the increased cardiovascular morbidity and mortality in patients with bipolar disorder.
In bipolar patients, levels of the two omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have been found to be low in most (Faurholt-Jepsen et al. 2017; Freyberg et al. 2020), but not all cross-sectional studies (Voggt et al. 2015), including studies with individuals at risk of or with first-episode bipolar disorder (McNamara et al. 2015, 2016; Wulsin et al. 2018). Meta-analyses have demonstrated that EPA-predominant formulations improve symptoms of clinically diagnosed depression (Liao et al. 2019; Saunders et al. 2016), which prompted guidelines to adopt this approach (Guu et al. 2019). Furthermore, omega-3 fatty acids have been demonstrated to increase heart rate variability in many intervention trials in different patient populations (Rovere and Christensen 2015) and may reduce the risk of coronary death and coronary events (Abdelhamid et al. 2020; Zelniker et al. 2021). However, so far, no intervention trial with EPA and DHA has been conducted in bipolar patients attempting to increase their heart rate variability. Therefore, we tested the hypothesis that omega-3 fatty acids significantly improve heart rate variability (Severus et al. 1999), measured as standard deviation of the normal-to-normal interval (SDNN, ms), in a randomized, double blind controlled intervention trial in euthymic patients with bipolar disorders with a low omega-3 index (Harris and von Schacky 2004, 2007) and reduced heart rate variability.
Potential trial participants were screened in the inpatient and outpatient units of the Department of Psychiatry and Psychotherapy of the Ludwig-Maximilians-University, Munich. Potentially eligible patients were approached by one of the authors (MB) and informed about the study. If patients were interested in participating in this study, the following clinical inclusion and exclusion criteria were checked. Patients who were (1) diagnosed with bipolar disorders (I, II) in remission according to the Structured Clinical Interview (SCID) for the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV), (2) able to give written informed consent, (3) between 18 and 65 years of age, (4) on stable psychotropic medication for at least 2 weeks, (5) fluent in German or English to complete baseline and follow-up interviews met the clinical inclusion criteria. Clinical exclusion criteria were (1) a diagnosis of current substance abuse (with or without substance dependence), (2) intake of omega-3 fatty acids was indicated according to recent treatment guidelines, (3) treatment with anticoagulants, (4) any acute or life-threatening comorbidity, such as collapse and shock, acute myocardial infarction, stroke, embolism, or disease seriously limiting life expectancy (5) current significant suicidal or homicidal risk in the investigator’s judgement, (6) low likelihood of compliance with the study protocol, (7) childbearing potential without a medically accepted method of contraception, pregnancy or breastfeeding.
If patients were eligible, they were asked to sign a written informed consent form. After signing, diagnosis was confirmed using the structured clinical interview for DSM-IV (Wittchen et al. 1997). A blood sample was drawn for determination of the omega-3 Index and heart rate variability was measured. A low omega-3-index (< 6%), and a low SDNN (< 60 ms) were inclusion criteria numbers 6 and 7. Patients fulfilling all inclusion and no exclusion criteria were recruited for the trial.
The present trial was approved by the ethics’ committee of the medical faculty of the Ludwig-Maximilians-University, Munich, registered at Clinicaltrials.gov (NCT00891826), and conducted between January 2009 and April 2012 according to the Guidelines laid down in the Declaration of Helsinki and Good Clinical Practice. Informed consent allowed analysis of all the clinical and laboratory data mentioned in the present report. The trial was initiated, designed, conducted, and evaluated by the investigators, and the sponsor had no role in study design, data acquisition, or evaluation or preparation of the manuscript.
The present trial was a randomized, double-blind, single-center, 12-week parallel study comparison of omega-3 fatty acids vs. corn oil, in addition to usual treatment. The primary endpoint of the trial was a change in HRV, as assessed by SDNN in ms. Predefined secondary endpoints were a change in HRV, as assessed by a ratio of low frequency to high frequency (LH/HF ratio); new episodes of bipolar depression; and mood rating scales.
Eligible patients were randomized to 4 capsules EPAX 6015 TG per day (2 in the morning, 2 in the evening), each containing 530 mg of EPA (eicosapentaenoic acid) and 150 mg of DHA (docosahexaenoic acid) as triglycerides or 4 matching capsules containing corn oil as placebo, to be taken with a meal to maximize bioavailability. Both products were produced and provided by EPAX AS: http://www.epax.com/. The placebo was matched to the study drug for taste, color and size. Patients were to continue with their pre-existing psychotropic medication, with adjustments as clinically indicated.
At baseline, demographics, clinical history and medication were assessed by means of the Network Enrolment Questionnaire as previously used by the Stanley Foundation Bipolar Network (Suppes et al. 2001). At baseline and at 12 weeks, HRV and the omega-3 Index and other blood parameters were measured, as was the psychopathological state using standardized rating scales: Young Mania Rating Scale (YMRS), Hamilton Rating Scale for Depression, [HAMD (Hamilton 1967)], Montgomery-Åsberg Depression Rating Scale [MADRS (Montgomery and Asberg 1979)], Beck Depression Inventory [BDI (Beck et al. 1961)] and Clinical Global Impressions Scale for Bipolar Illness [CGI (Spearing et al. 1997)].
Heart rate variability
HRV was assessed as recently described in more detail (Voggt et al. 2015). A slightly darkened room was used which had a comfortable room temperature. Participants were asked to relax and stay awake during the test period. Careful considerations were made to ensure subjects were not disturbed by noise. Recordings took place at the same time of the day, commonly between 10 am and 2 pm, with few exceptions being equally distributed between verum and placebo groups. A ProSciCard III (CPS medical, Tyler, TX, USA), was used to continuously record electrocardiograms (ECG) in a supine position, during normal breathing, after a short rest during a 30 min interval. The RecordProSciCard computer system (ProSciCard III) was installed for analysing HRV. By using the recorded NN intervals, the standard deviation of the NN interval (SDNN) (as a statistical time domain measure) was calculated (CPS GmbH 2009). The system’s intern check of the data was performed by Task Force Analysis, artefacts were marked. Before elimination of the artefacts, it was double-checked if the artefacts set by the software were correct and if overlooked by the software artefacts could be marked by the investigator (CPS GmbH 2009). Artefacts were defined as a fluctuation range of more than 15% of the RR-Intervals. Using power spectrum analysis frequency domain parameters of HRV were derived with high-frequency power (HFP; defined as 0·15–0·40 Hz) and low-frequency power (LFP; defined as 0·04–0·15 Hz) expressed in normalized units adjusting for changes in total power (which is related to HR).
Erythrocyte fatty acid composition was analysed according to the HS-Omega-3 Index® methodology as previously described (Harris and von Schacky 2004). Results are given as EPA plus DHA expressed as a percentage of total identified fatty acids after response factor correction. The coefficient of variation for EPA plus DHA was 5%. Analyses were quality-controlled according to DIN ISO 15189 (Rovere and Christensen 2015).
The power calculation is based on Cohen et al. (2003), in combination with our own data, the statement of the taskforce (Heart rate variability 1996) and the usual assumptions (alpha = 5%, power = 80%): the primary outcome parameter was defined as standard deviation of all normal RR intervals (SDNN, in ms.). Based on the assumption that SDNN will increase by 10 ms on average in the omega-3 fatty acid group, 23 patients per group were needed; a total of 46 patients. Furthermore, as we expected approximately 10% of our patients to drop out prematurely due to a variety of reasons, we planned to recruit a total number of 51 patients.
Data analysis was carried out using the statistical program R 2.9.0 (Hornik 2012). For categorical data, Fisher's Exact test was used, and Wilcoxon rank sum test for metric variables. In the case of HRV, baseline and endpoint values of SDNN, low frequency (LF), high frequency (HF), LF/HF ratio were compared both within and between groups.
Linear mixed models with random intercept were calculated unadjusted, and adjusted for age and gender, as it has been shown in previous studies that HRV measures decline with advancing age (Bigger et al. 1995; Liao et al. 1995; Zulfiqar et al. 2010), and supplementation with omega-3 fatty acids seems to have a beneficial effect on HRV especially in men (Christensen and Schmidt 2007). Linear regression models that explain heart rate variability (SDNN, LF, HF, LF/HF ratio) best were created: In order to explain the dependent variable group affiliation and omega-3 index were integrated as independent variables. As a next step the change/difference (value at endpoint minus value at baseline) was illustrated. This was calculated for SDNN, omega-3 index, LF, HF and LF/HF ratio. First univariate tests, using Wilcoxon signed-rank test, on differences between placebo and verum group were performed. In addition, unadjusted and adjusted (age, gender) linear mixed models on the changes of SDNN were calculated with group affiliation and change in omega-3 index as independent variables. Furthermore, Pearson correlation coefficients with changes in SDNN were calculated for the change of omega-3 index. For all statistical calculations the significance level was set 5% (p < 0.05).
Finally, a linear regression model within the patient group taking omega-3 as well as the control group taking corn oil was calculated in order to explain SDNN change over time. Explaining variables were EPA change, DHA change and omega-3 index at baseline. Age, gender and diagnosis of bipolar disorder were further co-variables in the model.
Of 119 patients with Bipolar I/II Disorder screened, 55 patients met the inclusion criteria, and were willing to participate. Of those, 27 were randomized to omega-3 fatty acids, and 28 patients to corn oil. A total of 42 patients (omega-3 fatty acids: n = 23, corn oil: n = 19) completed the study, while 13 did not (omega-3 fatty acids: n = 4, corn oil: n = 9). The reasons were as follows: 6 patients were excluded from the study due to non-adherence to the study protocol, 6 patients withdrew consent, 1 patient was no longer accessible (Fig. 1: Flow Diagram). Demographic and clinical characteristics of study completers are shown in Table 1. No statistical significant differences could be demonstrated.
The psychotropic medication taken by the bipolar patients in the omega-3 group and in the corn oil group is shown in Table 2. With few exceptions with regard to the dose of the medication prescribed, equally distributed between treatment groups, psychotropic medication was stable during the study period.
Standardized rating scales
At baseline there was a significant difference in terms of the total score of the 21-item HAMD scale. According to this scale, patients in the omega-3 group were more depressed (6.9 ± 6.50) than those in the corn oil group (3.1 ± 3.25) (p = 0.019), though still not meeting the criteria for a depressive episode.
At end of study, in none of the standardized rating scales a significant difference between patients in the omega-3-group and the corn oil group was found. Endpoint and baseline scores were not significantly different (Table 3).
At baseline mean SDNN in patients in the omega-3 group was 34.4 ± 13.30 ms, and in the corn oil group 32.2 ± 16.65 ms (n.s.) (Table 4). At endpoint mean SDNN in patients in the omega-3 group was 39.8 ± 12.25 ms, and in the corn oil group 33.89 ± 17.24 (n.s.) (Table 5). The change in SDNN (value at endpoint minus value at baseline) was 1.8 ± 14.35 ms in the corn oil group and 5.4 ± 18.19 ms. in the omega-3 group. There was no significant difference in the change of the SDNN (in comparison of baseline and endpoint) between groups (Table 6). In addition, no correlation between changes in SDNN and change in the omega-3 index in the omega-3 group was detected (correlation coefficient = 0.02, p = 0.94). The same was true for the corn oil group (correlation coefficient = − 0.11, p = 0.91).
Linear mixed models with random intercept were created, initially unadjusted (Tables 7, 8), then adjusted for age and gender (Tables 9, 10). Unadjusted as well as adjusted for age and gender no significant effect of group affiliation (unadjusted: p = 0.5873, adjusted: p = 0.8270) and the omega-3 index (unadjusted: p = 0.8143, adjusted: p = 0.8377) on SDNN were observed.
In addition, linear models on the SDNN change were calculated including group affiliation and change of omega-3 index as predictors. Neither for group (unadjusted: p = 0.4445, adjusted: p = 0.4447) nor for change of omega-3 index (unadjusted: p = 0.6462, adjusted: p = 0.6241) statistically significant effects were found.
However, in the intervention group, but not in the control group, the result of the regression model, with explaining variables EPA change, DHA change and omega-3 index at baseline and age, gender and diagnosis of bipolar disorder as further co-variables in the model, indicates a positive association of the omega-3 index at baseline with an increase of SDNN during the study (p = 0.04). In addition, the change of DHA shows a positive association with concurrent change of SDNN in the study (i.e. increasing the concentration of DHA goes along with increasing SDNN, (p = 0.01), while the change of EPA shows a negative association with SDNN (i.e. increasing concentration of EPA goes along with decreasing SDNN, p = 0.01).
LF, HF und LF/HF
In terms of the absolute values of HF, LF, and the LF/HF ratio, no significant differences between the corn oil and the omega-3 group were found at baseline and at the end of the study period (Tables 4, 5). Linear mixed models were created including group affiliation and omega-3 index as predictors. Neither for group (LF p = 0.5535, HF p = 0.4579, LF/HF ratio p = 0.4654) nor for omega-3 index (LF p = 0.3810, HF p = 0.7065, LF/HF ratio p = 0.5564) significant influence on frequency parameters were shown.
As a next step the change of LF, HF, LF/HF ratio (value at endpoint minus value at baseline) was illustrated. Using Wilcoxon signed-rank test no significant differences between the corn oil and the omega-3 group regarding the change of LF (p = 0.19), HF (p = 0.34) and LF/HF ratio (p = 0.84) were demonstrated (Table 6).
Linear models on the change of LF, HF, LF/HF ratio were calculated including group affiliation and change of omega-3 index as predictors, initially unadjusted, then adjusted for age and gender. Neither for group (unadjusted: LF p = 0.53, HF p = 0.54, LF/HF ratio p = 0.39. adjusted: LF p = 0.76, HF p = 0.66, LF/HF ratio p = 0.57) nor for change of omega-3 index (unadjusted: LF p = 0.47, HF p = 0.50, LF/HF ratio p = 0.63; adjusted: LF p = 0.49, HF p = 0.47, LF/HF ratio p = 0.63) statistically significant effects on any of these variables was found.
The mean omega-3 index at baseline was 4.6 ± 1.35% in the corn oil group, compared to 4.7 ± 0.69% in the omega-3 group (n.s.), (Table 4), the mean omega-3 index at endpoint was 4.23 ± 0.87% in the corn oil group, compared to 9.69 ± 2.35% in the omega-3 group (p < 0.0001) (Table 5). The change of omega-3 index after 12 weeks (value at endpoint minus value at baseline) was − 0.4 ± 1.06% in the corn oil-group, compared to 5.0 ± 1.94% in the omega-3 group (p = < 0 0.0001) (Table 6).
Mood ratings, new episodes
In the omega-3 group, 3 patients experienced a depressive episode, but none in the placebo group. There were no significant differences in change from baseline to end point in any of the standardized rating scales (Table 3).
In our randomized, controlled intervention trial, comparing the effects of 2120 mg EPA plus 600 mg DHA per day with a corn oil placebo in euthymic bipolar patients with a low omega-3 index and reduced heart rate variability no significant effect of omega-3 fatty acids on SDNN or frequency-domain measures HF, LF and LF/HF ratio could be detected. In light of the positive effects of omega-3 fatty acids on parameters of HRV in cardiovascular patients (Harris et al. 2006) this is a perplexing finding.
Was our trial inadequately designed or conducted to detect an effect? As discussed in the introduction, our trial had a high likelihood of detecting a beneficial effect of EPA and DHA on HRV in bipolar patients. By selecting bipolar patients with low baseline levels of EPA and DHA, and with a low SDNN, we selected a population for our trial likely to benefit from our intervention. The trial design we used has been suggested for all trials with omega-3 fatty acids with cardiovascular endpoints (Rice et al. 2014). Our trial conforms the Guidelines for the Design, Conduct, and Reporting of Human Intervention Studies to Evaluate Health Benefits of Foods, and, inadvertently, the recent Guidelines for Reporting Articles on Psychiatry and Heart Rate variability (Quintana et al. 2016). Also, we fulfilled our case estimate in the verum group, although not completely in the placebo group (Table 1). Of note, however, changes observed in parameters of HRV were minimal (Tables 4–6). The fact that no correlation between changes in SDNN and change in the omega-3 index could be detected, neither in the intervention group nor in the control group, also argues against the fact that an increase in the number of study participants would have led to a significantly different result. Our trial was similar in length, when compared to positive trials in other patient populations (Rovere and Christensen 2015). Taken together, we feel that our trial was adequately designed and conducted to detect an effect of omega-3 fatty acids on HRV. In the intervention group the increase in the concentration of DHA was accompanied by an increase in SDNN, while for EPA it was the opposite. Therefore, would it have been possibly advisable to increase the DHA content of the study medication to improve heart rate variability? Few data exist regarding differential effects of EPA and DHA on heart rate variability (Xin et al. 2013; Innes and Calder 2020). Furthermore it is hard to predict the precise consequences of a modification of the DHA content of the omega-3 fatty acids supplement on membrane fatty acid composition (Harris et al. 2021; Pal et al. 2020; von Schacky 2019). In addition recent evidence suggests that high dose pure EPA has advantages compared to a high-dose combination of EPA/DHA regarding cardiovascular risk reduction in patients at increased cardiovascular risk (Bhatt et al. 2019; Nicholls et al. 2020). Therefore increasing the DHA content of the study medication wouldn’t probably have changed the outcome of the trial.
Did we measure HRV adequately, and were the parameters of HRV measured appropriate? Technically, the method we used fulfills current criteria, and we also took special care to minimize confounders (Quintana et al. 2016). Our primary endpoint was SDNN, and we also measured LF, HF and the LF/HF ratio. According to recent (systematic) reviews, these parameters are informative, and differ from healthy controls in bipolar patients (Bassett 2016; Faurholt-Jepsen et al. 2017). SDNN is thought to reflect predominately (but not exclusively) sympathetic activity, while HF is indicative of parasympathetic activity, with LF reflecting a mix of both (Alvares et al. 2016; Bassett 2016). Therefore, we feel that little additional information could be gleaned from additionally studying root mean square of normal to normal interval differences (RMSSD) and the proportion of RRIs that differ more than 50 ms (pNN50) (Alvares et al. 2016; Bassett 2016). Taken together, we feel that we measured appropriate parameters of HRV and performed the measurement adequately.
We analyzed erythrocyte fatty acids, that have a low biological variability, with a method of analysis that not only has a low analytical variability, but also the largest database of all methods of fatty acid analysis (von Schacky 2012; 2015, 2018). Moreover, in the intervention group, the omega-3 index increased from a mean (± SD) of 4.7 (0. 69) to 9.69 (2.35), while it remained constant in the placebo group; SD’s were small; together indicating excellent compliance with both trial regimens (Tables 4, 5). Therefore we think that we achieved our objective to substantially change omega-3 status in the intervention group, to bring the intervention group into the proposed target range for the omega-3 index of 8–11%, and to generate a large difference in omega-3 status between verum and placebo groups. Furthermore, as noted earlier, we did not find a significant correlation between changes in SDNN and change in the omega-3 index, neither in the omega-3 group, nor in the corn oil group (data not shown). This latter result much resembles the results of our baseline study, in which we did not find any (positive) relationship between omega-3 status of our trial participants and the parameters of HRV measured. Our findings also support our use of corn oil as a placebo (Tables 4–6).
Is the result due to confounders? While our knowledge of the effects of the various psychotropic drugs on measures of HRV is still limited, in particular for lithium, lamotrigine and valproic acid (Tomson et al. 1998) the data so far suggest that psychotropic drugs, including our currently used antidepressants (Kemp et al. 2010; Licht et al. 2008; O'Regan et al. 2015) as well as quetiapine (Huang et al. 2016) appear to have a significant negative effect on measures of heart rate variability (Alvares et al. 2016). Although use of psychotropic medication was evenly distributed between verum and placebo groups, therefore excluding a systematic bias (Table 2) one might speculate whether these psychotropic drugs may not only have a negative impact on parameters of heart rate variability on their own but may also prevent omega-3 fatty acids from improving parameters of HRV (Carney et al. 2010) in the way they usually do. This hypothesis is backed by two lines of evidence. In the first place in the trial our study best compares with in terms of patient population (affective disorders), dose (930 mg of EPA and 750 mg of DHA), and length of intervention (10 weeks) determination of omega-3 fatty acids status (i.e. omega-3 index), use of psychotropic medication (sertraline, an antidepressant) as well as type of placebo (i.e. corn oil) (Carney et al. 2010) there was a significant treatment X time interaction for the primary measure of HRV, in very low frequency [VLF (p = 0.009)], and for heart rate (HR (p = 0.03)). However, the interactions for all secondary HRV indices were not significant [in HF (p = 0.12), in LF (p = 0.11), in ultra low frequency (ULF (p = 0.23))]. SDNN was not measured. In the second place, in our study, in the intervention group, but not in the control group, there was a positive association of the omega-3 index at baseline with an increase of SDNN during the study (p = 0.04).This may indicate that in the presence of psychotropic drugs such as antidepressants or quetiapine a higher omega-3 index at baseline (or possibly a larger dose of omega-3 fatty acids) is needed to bring about a significant increase in SDNN in the intervention group. Interestingly, in the afore mentioned trial our study best compares with (Carney et al. 2009, 2010), in the intervention but not in the control group, baseline red blood cells (RBC) levels of EPA + DHA were significantly higher among those whose depression subsequently remitted compared with those whose depression did not remit (Carney et al. 2016) while there was no significant difference between the treatment groups as a whole in the study in question (Carney et al. 2009) and a more recent trial (Carney et al. 2019). This suggests that a similar mechanism might exist regarding the antidepressant effects of omega-3 fatty acids in the presence of psychotropic drugs such as antidepressants (Guu et al. 2019).
It has recently been suggested that omega-3 fatty acids increase HRV via alterations in intrinsic pacemaker rate rather than via changes in cardiac autonomic neural regulation (Billman 2013). This would be in keeping with an earlier observation in patients with a cardiac transplant, a situation with no or little parasympathetic control of cardiac rhythm. Dietary omega-3 fatty acids appeared to alter electrophysiological properties of the heart itself (Harris et al. 2006). Bipolar disorder has a genetic component, with a striking number of the calcium channel gene superfamily being involved, among many other genes (Xin et al. 2013; Zelniker et al. 2021). Taken together, one might speculate, that in bipolar disorder, a genetically defined variant of a calcium channel of the intrinsic cardiac pacemaker might be resistant to the effects of EPA and DHA. Clearly, however, this speculation needs to be substantiated by further research.
This study could not detect any significant difference between number of new affective episodes or change in mood ratings between the study groups. This is not surprising given that the study was not powered to detect such changes—and the current evidence (McPhilemy et al. 2020). The numerically higher number of mood episodes in the omega-3 group might be a result of patients in the omega-3 group being more depressed at baseline.
In our randomized, controlled intervention trial, comparing the effects of 2120 mg EPA plus 600 mg DHA per day with a corn oil placebo in euthymic bipolar patients with a low omega-3 index and reduced heart rate variability no significant effect of omega-3 fatty acids on SDNN or frequency-domain measures HF, LF and LF/HF ratio could be detected. Given the positive evidence of omega-3 fatty acids on parameters of HRV in cardiovascular patients this was an unexpected finding with, among others, the effect of psychotropic medication present in our trial or the genetics of bipolar disorder itself being possible culprits. Clearly further research is urgently needed to better understand the underlying mechanisms.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Beck Depression Inventory
Clinical Global Impressions Scale for Bipolar Illness
Statistical Manual of Mental Disorders Fourth Edition
Hamilton Rating Scale for Depression
High frequency power
Heart rate variability
- LF/HF ratio:
A ratio of low frequency to high frequency
Low frequency power
Montgomery- Åsberg Depression Rating Scale
Proportion of RRIs that differ more than 50 ms
Red blood cells
Root mean square of normal to normal interval differences
Structured Clinical Interview
Standard deviation of the normal-to-normal interval
Ultra low frequency
Very low frequency
Young Mania Rating Scale
Abdelhamid AS, Brown TJ, Brainard JS, Biswas P, Thorpe GC, Moore HJ, et al. Omega-3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Database Syst Rev. 2020;29(3):CD003177.
Alvares GA, Quintana DS, Hickie IB, Guastella AJ. Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis. J Psychiatry Neurosci. 2016;41(2):89–104.
Bassett D. A literature review of heart rate variability in depressive and bipolar disorders. Aust NZJ Psychiatry. 2016;50(6):511–9.
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–71.
Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, et al. Cardiovascular risk reduction with icosapent ethyl for hypertriglyceridemia. N Engl J Med. 2019;380(1):11–22.
Bigger JT Jr, Fleiss JL, Steinman RC, Rolnitzky LM, Schneider WJ, Stein PK. RR variability in healthy, middle-aged persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction. Circulation. 1995;91(7):1936–43.
Billman GE. The effects of omega-3 polyunsaturated fatty acids on cardiac rhythm: a critical reassessment. Pharmacol Ther. 2013;140(1):53–80.
Carney RM, Blumenthal JA, Freedland KE, Stein PK, Howells WB, Berkman LF, et al. Low heart rate variability and the effect of depression on post-myocardial infarction mortality. Arch Intern Med. 2005;165(13):1486–91.
Carney RM, Freedland KE, Rubin EH, Rich MW, Steinmeyer BC, Harris WS. Omega-3 augmentation of sertraline in treatment of depression in patients with coronary heart disease: a randomized controlled trial. JAMA. 2009;302(15):1651–7.
Carney RM, Freedland KE, Stein PK, Steinmeyer BC, Harris WS, Rubin EH, et al. Effect of omega-3 fatty acids on heart rate variability in depressed patients with coronary heart disease. Psychosom Med. 2010;72(8):748–54.
Carney RM, Steinmeyer BC, Freedland KE, Rubin EH, Rich MW, Harris WS. Baseline blood levels of omega-3 and depression remission: a secondary analysis of data from a placebo-controlled trial of omega-3 supplements. J Clin Psychiatry. 2016;77(2):e138–43.
Carney RM, Freedland KE, Rubin EH, Rich MW, Steinmeyer BC, Harris WS. A randomized placebo-controlled trial of omega-3 and sertraline in depressed patients with or at risk for coronary heart disease. J Clin Psychiatry. 2019. https://doi.org/10.4088/JCP.19m12742.
Christensen JH, Schmidt EB. Autonomic nervous system, heart rate variability and n-3 fatty acids. J Cardiovasc Med (hagerstown ). 2007;8(Suppl 1):S19–22.
Cohen H, Kaplan Z, Kotler M, Mittelman I, Osher Y, Bersudsky Y. Impaired heart rate variability in euthymic bipolar patients. Bipolar Disord. 2003;5(2):138–43.
Drewery ML, Spedale SB, Lammi-Keefe CJ. Modulation of heart rate and heart rate variability by n-3 long chain polyunsaturated fatty acids: speculation on mechanism(s). Med Hypotheses. 2017;107:29–34.
Faurholt-Jepsen M, Kessing LV, Munkholm K. Heart rate variability in bipolar disorder: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2017;73:68–80.
Freyberg J, Brage S, Kessing LV, Faurholt-Jepsen M. Differences in psychomotor activity and heart rate variability in patients with newly diagnosed bipolar disorder, unaffected relatives, and healthy individuals. J Affect Disord. 2020;1(266):30–6.
Goldstein BI, Carnethon MR, Matthews KA, McIntyre RS, Miller GE, Raghuveer G, et al. Major depressive disorder and bipolar disorder predispose youth to accelerated atherosclerosis and early cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2015a;132(10):965–86.
Goldstein BI, Schaffer A, Wang S, Blanco C. Excessive and premature new-onset cardiovascular disease among adults with bipolar disorder in the US NESARC cohort. J Clin Psychiatry. 2015b;76(2):163–9.
Guu TW, Mischoulon D, Sarris J, Hibbeln J, McNamara RK, Hamazaki K, et al. International Society for Nutritional Psychiatry Research Practice Guidelines for Omega-3 fatty acids in the treatment of major depressive disorder. Psychother Psychosom. 2019;88(5):263–73.
Hamilton M. Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967;6(4):278–96.
Harris WS, von Schacky C. The Omega-3 Index: a new risk factor for death from coronary heart disease? Prev Med. 2004;39(1):212–20.
Harris WS, Gonzales M, Laney N, Sastre A, Borkon AM. Effects of omega-3 fatty acids on heart rate in cardiac transplant recipients. Am J Cardiol. 2006;98(10):1393–5.
Harris WS, Tintle NL, Imamura F, Qian F, Korat AVA, Marklund M, et al. Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies. Nat Commun. 2021;12(1):2329.
Harrison PJ. Molecular neurobiological clues to the pathogenesis of bipolar disorder. Curr Opin Neurobiol. 2016;36:1–6.
Heart rate variability group. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996;17(3):354–81.
Heyes S, Pratt WS, Rees E, Dahimene S, Ferron L, Owen MJ, et al. Genetic disruption of voltage-gated calcium channels in psychiatric and neurological disorders. Prog Neurobiol. 2015;134:36–54.
Hornik K. Frequently asked questions on R. 2012. 20–2–2013. Ref type: Online source.
Huang WL, Liao SC, Kuo TB, Chang LR, Chen TT, Chen IM, et al. The effects of antidepressants and quetiapine on heart rate variability. Pharmacopsychiatry. 2016. https://doi.org/10.1055/s-0042-102964.
Huikuri HV, Stein PK. Heart rate variability in risk stratification of cardiac patients. Prog Cardiovasc Dis. 2013;56(2):153–9.
Innes JK, Calder PC. Marine omega-3 (N-3) fatty acids for cardiovascular health: an update for 2020. Int J Mol Sci. 2020. https://doi.org/10.3390/ijms21041362.
Kemp AH, Quintana DS, Gray MA, Felmingham KL, Brown K, Gatt JM. Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis. Biol Psychiatry. 2010;67(11):1067–74.
Kessing LV, Vradi E, Andersen PK. Life expectancy in bipolar disorder. Bipolar Disord. 2015a;17(5):543–8.
Kessing LV, Vradi E, McIntyre RS, Andersen PK. Causes of decreased life expectancy over the life span in bipolar disorder. J Affect Disord. 2015b;15(180):142–7.
La Rovere MT, Christensen JH. The autonomic nervous system and cardiovascular disease: role of n-3 PUFAs. Vascul Pharmacol. 2015;71:1–10.
Liao D, Barnes RW, Chambless LE, Simpson RJ Jr, Sorlie P, Heiss G. Age, race, and sex differences in autonomic cardiac function measured by spectral analysis of heart rate variability–the ARIC study. Atherosclerosis risk in communities. Am J Cardiol. 1995;76(12):906–12.
Liao Y, Xie B, Zhang H, He Q, Guo L, Subramaniapillai M, et al. Efficacy of omega-3 PUFAs in depression: a meta-analysis. Transl Psychiatry. 2019;9(1):190.
Licht CM, de Geus EJ, Zitman FG, Hoogendijk WJ, van Dyck R, Penninx BW. Association between major depressive disorder and heart rate variability in the Netherlands Study of Depression and Anxiety (NESDA). Arch Gen Psychiatry. 2008;65(12):1358–67.
Marshe VS, Pira S, Mantere O, Bosche B, Looper KJ, Herrmann N, et al. C-reactive protein and cardiovascular risk in bipolar disorder patients: a systematic review. Prog Neuropsychopharmacol Biol Psychiatry. 2017;79(Pt B):442–51.
McNamara RK, Welge JA. Meta-analysis of erythrocyte polyunsaturated fatty acid biostatus in bipolar disorder. Bipolar Disord. 2016;18(3):300–6.
McNamara RK, Jandacek R, Tso P, Blom TJ, Welge JA, Strawn JR, et al. First-episode bipolar disorder is associated with erythrocyte membrane docosahexaenoic acid deficits: Dissociation from clinical response to lithium or quetiapine. Psychiatry Res. 2015;230(2):447–53.
McNamara RK, Jandacek R, Tso P, Blom TJ, Welge JA, Strawn JR, et al. Adolescents with or at ultra-high risk for bipolar disorder exhibit erythrocyte docosahexaenoic acid and eicosapentaenoic acid deficits: a candidate prodromal risk biomarker. Early Interv Psychiatry. 2016;10(3):203–11.
McPhilemy G, Byrne F, Waldron M, Hibbeln JR, Davis J, McDonald C, et al. A 52-week prophylactic randomised control trial of omega-3 polyunsaturated fatty acids in bipolar disorder. Bipolar Disord. 2020. https://doi.org/10.1111/bdi.13037.
Merikangas KR, Jin R, He JP, Kessler RC, Lee S, Sampson NA, et al. Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiatry. 2011;68(3):241–51.
Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134:382–9.
Nicholls SJ, Lincoff AM, Garcia M, Bash D, Ballantyne CM, Barter PJ, et al. Effect of high-dose omega-3 fatty acids vs corn oil on major adverse cardiovascular events in patients at high cardiovascular risk: the STRENGTH randomized clinical trial. JAMA. 2020;324(22):2268–80.
O’Regan C, Kenny RA, Cronin H, Finucane C, Kearney PM. Antidepressants strongly influence the relationship between depression and heart rate variability: findings from The Irish Longitudinal Study on Ageing (TILDA). Psychol Med. 2015;45(3):623–36.
Pal A, Metherel AH, Fiabane L, Buddenbaum N, Bazinet RP, Shaikh SR. Do eicosapentaenoic acid and docosahexaenoic acid have the potential to compete against each other? Nutrients. 2020. https://doi.org/10.3390/nu12123718.
Prieto ML, Cuellar-Barboza AB, Bobo WV, Roger VL, Bellivier F, Leboyer M, et al. Risk of myocardial infarction and stroke in bipolar disorder: a systematic review and exploratory meta-analysis. Acta Psychiatr Scand. 2014;130(5):342–53.
Quintana DS, Alvares GA, Heathers JA. Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication. Transl Psychiatry. 2016;10(6): e803.
Rice HB, Bernasconi A, Maki KC, Harris WS, von Schacky C, Calder PC. Conducting omega-3 clinical trials with cardiovascular outcomes: Proceedings of a workshop held at ISSFAL 2014. Prostaglandins Leukot Essent Fatty Acids. 2016;107:30–42.
Saunders EF, Ramsden CE, Sherazy MS, Gelenberg AJ, Davis JM, Rapoport SI. Omega-3 and Omega-6 polyunsaturated fatty acids in bipolar disorder: a review of biomarker and treatment studies. J Clin Psychiatry. 2016;77(10):e1301–8.
Severus WE, Ahrens B, Stoll AL. Omega-3 fatty acids–the missing link? Arch Gen Psychiatry. 1999;56(4):380–1.
Spearing MK, Post RM, Leverich GS, Brandt D, Nolen W. Modification of the Clinical Global Impressions (CGI) Scale for use in bipolar illness (BP): the CGI-BP. Psychiatry Res. 1997;73(3):159–71.
Suppes T, Leverich GS, Keck PE, Nolen WA, Denicoff KD, Altshuler LL, et al. The Stanley Foundation Bipolar Treatment Outcome Network. II. Demographics and illness characteristics of the first 261 patients. J Affect Disord. 2001;67(1–3):45–59.
Tomson T, Ericson M, Ihrman C, Lindblad LE. Heart rate variability in patients with epilepsy. Epilepsy Res. 1998;30(1):77–83.
Voggt A, Berger M, Obermeier M, Low A, Seemueller F, Riedel M, et al. Heart rate variability and Omega-3 Index in euthymic patients with bipolar disorders. Eur Psychiatry. 2015;30(2):228–32.
von Schacky C. Omega-3 Fatty acids: anti-arrhythmic, pro-arrhythmic, or both? Front Physiol. 2012;3:88.
von Schacky C. Omega-3 fatty acids in cardiovascular disease—an uphill battle. Prostaglandins Leukot Essent Fatty Acids. 2015;92:41–7.
von Schacky C. Confusion about the effects of omega-3 fatty acids : Contemplation of study data taking the omega-3 index into consideration. Internist (Berl). 2019;60(12):1319–27.
von Schacky C. Omega-3 index in 2018/19. Proc Nutr Soc. 2020;11:1–7.
von Schacky C, Harris WS. Cardiovascular risk and the omega-3 index. J Cardiovasc Med (Hagerstown). 2007;8(Suppl 1):S46–9.
Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2163–96.
Wittchen H-U, Zaudig M, Frydrich T. Strukturiertes Klinisches Interview für DSM-IV (Achse I und II). Göttingen: Hogrefe Verlag für Psychologie; 1997.
Wulsin LR, Blom TJ, Durling M, Welge JA, DelBello MP, Adler CM, et al. Cardiometabolic risks and omega-3 index in recent-onset bipolar I disorder. Bipolar Disord. 2018;20(7):658–65.
Xin W, Wei W, Li XY. Short-term effects of fish-oil supplementation on heart rate variability in humans: a meta-analysis of randomized controlled trials. Am J Clin Nutr. 2013;97(5):926–35.
Zelniker TA, Morrow DA, Scirica BM, Furtado JD, Guo J, Mozaffarian D, et al. Plasma omega-3 fatty acids and the risk of cardiovascular events in patients after an acute coronary syndrome in MERLIN-TIMI 36. J Am Heart Assoc. 2021;10(8):e017401.
Zulfiqar U, Jurivich DA, Gao W, Singer DH. Relation of high heart rate variability to healthy longevity. Am J Cardiol. 2010;105(8):1181–5.
Dino Santangelo AND Nadine Schaaff helped recruiting patients for this trial.
Open Access funding enabled and organized by Projekt DEAL. The study was supported by EPAX AS, including provision of study medication and matching placebo (http://www.epax.com/). The sponsor had no role in study design, data acquisition, or evaluation or preparation of the manuscript.
Ethics approval and consent to participate
The present trial was approved by the ethics’ committee of the medical faculty of the Ludwig-Maximilians-University, Munich. The trial is registered at ClinicalTrials.gov, number NCT00891826.
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MB, FS, AV, MO, FFK, AL, MR, ES: no competing interests. CvS: operates Omegametrix, a laboratory for fatty acid analyses. CvS received honoraria for consulting and/or speaking from BASF/Pronova, Huntsworth Medical, EPAX, and Norsan.
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Berger, M., Seemüller, F., Voggt, A. et al. Omega-3 fatty acids in bipolar patients with a low omega-3 index and reduced heart rate variability: the “BIPO-3” trial. Int J Bipolar Disord 10, 9 (2022). https://doi.org/10.1186/s40345-022-00253-9
- Bipolar disorders
- Omega-3 fatty acids
- Heart rate variability, omega-3 index
- Randomised controlled trial