TBD Meeting (3567-23)

BARCELONA – The typical lag between treatment initiation with selective serotonin reuptake inhibitors (SSRIs) for depression and enhanced mood may be because of the time it takes to increase brain synaptic density, new imaging data suggest.

In a double-blind study, more than 30 volunteers were randomly assigned to the SSRI escitalopram or placebo for 3-5 weeks. Using PET imaging, the investigators found that over time, synaptic density significantly increased significantly in the neocortex and hippocampus but only in patients taking the active drug.

The results point to two conclusions, said study investigator Gitta Moos Knudsen, MD, PhD, clinical professor and chief physician at the department of clinical medicine, neurology, psychiatry and sensory sciences at Copenhagen (Denmark) University Hospital.

First, they indicate that SSRIs increase synaptic density in brain areas critically involved in depression, a finding that would go some way to indicating that the synaptic density in the brain may be involved in how antidepressants function, “which would give us a target for developing novel drugs against depression,” said Dr. Knudsen.

“Secondly, our data suggest synapses build up over a period of weeks, which would explain why the effects of these drugs take time to kick in,” she added.

The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress and simultaneously published online in Molecular Psychiatry.
 

Marked increase in synaptic density

SSRIs are widely used for depression as well as anxiety and obsessive-compulsive disorder. It is thought that they act via neuroplasticity and synaptic remodeling to improve cognition and emotion processing. However, the investigators note clinical evidence is lacking.

For the study, the researchers randomly assigned healthy individuals to either 20-mg escitalopram or placebo for 3-5 weeks.

They performed PET with the 11C-UCB-J tracer, which allows imaging of the synaptic vesicle glycoprotein 2A (SV2A) in the brain, synaptic density, as well as changes in density over time, in the hippocampus and neocortex.

Between May 2020 and October 2021, 17 individuals were assigned to escitalopram and 15 to placebo. There were no significant differences between two groups in terms of age, sex, and PET-related variables. Serum escitalopram measurements confirmed that all participants in the active drug group were compliant.

When synaptic density was assessed at a single time point, an average of 29 days after the intervention, there were no significant differences between the escitalopram and placebo groups in either the neocortex (P = .41) or in the hippocampus (P = .26).

However, when they performed a secondary analysis of the time-dependent effect on SV2A levels, they found a marked difference between the two study groups.

Compared with the placebo group, participants taking escitalopram had a marked increase in synaptic density in both the neocortex (rp value, 0.58; P = .003) and the hippocampus (rp value, 0.41; P = .048).

In contrast, there were no significant changes in synaptic density in either the neocortex (rp value, –0.01; P = .95) or the hippocampus (rp value, –0.06; P = .62) in the hippocampus.

“That is consistent with our clinical observation that it takes time to evolve synaptic density, along with clinical improvement. Does that mean that the increase in synaptic density is a precondition for improvement in symptoms? We don’t know,” said Dr. Knudsen.
 

Exciting but not conclusive

Session co-chair Oliver Howes, MD, PhD, professor of molecular psychiatry, King’s College London, agreed that the results do not prove the gradual increase in synaptic density the treatment response lag with SSRIs.

“We definitely don’t yet have all the data to know one way or the other,” he said in an interview.

Another potential hypothesis, he said, is that SSRIs are causing shifts in underlying brain circuits that lead to cognitive changes before there is a discernable improvement in mood.

Indeed, Dr. Howes suggested that increases in synaptic density and cognitive changes related to SSRI use are not necessarily dependent on each other and could even be unrelated.

Also commenting on the research, David Nutt, MD, PhD, Edmond J. Safra professor of neuropsychopharmacology at Imperial College London, said that the “delay in therapeutic action of antidepressants has been a puzzle to psychiatrists ever since they were first discerned over 50 years ago. So, these new data in humans, that use cutting edge brain imaging to demonstrate an increase in brain connections developing over the period that the depression lifts, are very exciting.”

A version of this article first appeared on Medscape.com.

BARCELONA – The typical lag between treatment initiation with selective serotonin reuptake inhibitors (SSRIs) for depression and enhanced mood may be because of the time it takes to increase brain synaptic density, new imaging data suggest.

In a double-blind study, more than 30 volunteers were randomly assigned to the SSRI escitalopram or placebo for 3-5 weeks. Using PET imaging, the investigators found that over time, synaptic density significantly increased significantly in the neocortex and hippocampus but only in patients taking the active drug.

The results point to two conclusions, said study investigator Gitta Moos Knudsen, MD, PhD, clinical professor and chief physician at the department of clinical medicine, neurology, psychiatry and sensory sciences at Copenhagen (Denmark) University Hospital.

First, they indicate that SSRIs increase synaptic density in brain areas critically involved in depression, a finding that would go some way to indicating that the synaptic density in the brain may be involved in how antidepressants function, “which would give us a target for developing novel drugs against depression,” said Dr. Knudsen.

“Secondly, our data suggest synapses build up over a period of weeks, which would explain why the effects of these drugs take time to kick in,” she added.

The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress and simultaneously published online in Molecular Psychiatry.
 

Marked increase in synaptic density

SSRIs are widely used for depression as well as anxiety and obsessive-compulsive disorder. It is thought that they act via neuroplasticity and synaptic remodeling to improve cognition and emotion processing. However, the investigators note clinical evidence is lacking.

For the study, the researchers randomly assigned healthy individuals to either 20-mg escitalopram or placebo for 3-5 weeks.

They performed PET with the 11C-UCB-J tracer, which allows imaging of the synaptic vesicle glycoprotein 2A (SV2A) in the brain, synaptic density, as well as changes in density over time, in the hippocampus and neocortex.

Between May 2020 and October 2021, 17 individuals were assigned to escitalopram and 15 to placebo. There were no significant differences between two groups in terms of age, sex, and PET-related variables. Serum escitalopram measurements confirmed that all participants in the active drug group were compliant.

When synaptic density was assessed at a single time point, an average of 29 days after the intervention, there were no significant differences between the escitalopram and placebo groups in either the neocortex (P = .41) or in the hippocampus (P = .26).

However, when they performed a secondary analysis of the time-dependent effect on SV2A levels, they found a marked difference between the two study groups.

Compared with the placebo group, participants taking escitalopram had a marked increase in synaptic density in both the neocortex (rp value, 0.58; P = .003) and the hippocampus (rp value, 0.41; P = .048).

In contrast, there were no significant changes in synaptic density in either the neocortex (rp value, –0.01; P = .95) or the hippocampus (rp value, –0.06; P = .62) in the hippocampus.

“That is consistent with our clinical observation that it takes time to evolve synaptic density, along with clinical improvement. Does that mean that the increase in synaptic density is a precondition for improvement in symptoms? We don’t know,” said Dr. Knudsen.
 

Exciting but not conclusive

Session co-chair Oliver Howes, MD, PhD, professor of molecular psychiatry, King’s College London, agreed that the results do not prove the gradual increase in synaptic density the treatment response lag with SSRIs.

“We definitely don’t yet have all the data to know one way or the other,” he said in an interview.

Another potential hypothesis, he said, is that SSRIs are causing shifts in underlying brain circuits that lead to cognitive changes before there is a discernable improvement in mood.

Indeed, Dr. Howes suggested that increases in synaptic density and cognitive changes related to SSRI use are not necessarily dependent on each other and could even be unrelated.

Also commenting on the research, David Nutt, MD, PhD, Edmond J. Safra professor of neuropsychopharmacology at Imperial College London, said that the “delay in therapeutic action of antidepressants has been a puzzle to psychiatrists ever since they were first discerned over 50 years ago. So, these new data in humans, that use cutting edge brain imaging to demonstrate an increase in brain connections developing over the period that the depression lifts, are very exciting.”

A version of this article first appeared on Medscape.com.

BARCELONA – The typical lag between treatment initiation with selective serotonin reuptake inhibitors (SSRIs) for depression and enhanced mood may be because of the time it takes to increase brain synaptic density, new imaging data suggest.

In a double-blind study, more than 30 volunteers were randomly assigned to the SSRI escitalopram or placebo for 3-5 weeks. Using PET imaging, the investigators found that over time, synaptic density significantly increased significantly in the neocortex and hippocampus but only in patients taking the active drug.

The results point to two conclusions, said study investigator Gitta Moos Knudsen, MD, PhD, clinical professor and chief physician at the department of clinical medicine, neurology, psychiatry and sensory sciences at Copenhagen (Denmark) University Hospital.

First, they indicate that SSRIs increase synaptic density in brain areas critically involved in depression, a finding that would go some way to indicating that the synaptic density in the brain may be involved in how antidepressants function, “which would give us a target for developing novel drugs against depression,” said Dr. Knudsen.

“Secondly, our data suggest synapses build up over a period of weeks, which would explain why the effects of these drugs take time to kick in,” she added.

The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress and simultaneously published online in Molecular Psychiatry.
 

Marked increase in synaptic density

SSRIs are widely used for depression as well as anxiety and obsessive-compulsive disorder. It is thought that they act via neuroplasticity and synaptic remodeling to improve cognition and emotion processing. However, the investigators note clinical evidence is lacking.

For the study, the researchers randomly assigned healthy individuals to either 20-mg escitalopram or placebo for 3-5 weeks.

They performed PET with the 11C-UCB-J tracer, which allows imaging of the synaptic vesicle glycoprotein 2A (SV2A) in the brain, synaptic density, as well as changes in density over time, in the hippocampus and neocortex.

Between May 2020 and October 2021, 17 individuals were assigned to escitalopram and 15 to placebo. There were no significant differences between two groups in terms of age, sex, and PET-related variables. Serum escitalopram measurements confirmed that all participants in the active drug group were compliant.

When synaptic density was assessed at a single time point, an average of 29 days after the intervention, there were no significant differences between the escitalopram and placebo groups in either the neocortex (P = .41) or in the hippocampus (P = .26).

However, when they performed a secondary analysis of the time-dependent effect on SV2A levels, they found a marked difference between the two study groups.

Compared with the placebo group, participants taking escitalopram had a marked increase in synaptic density in both the neocortex (rp value, 0.58; P = .003) and the hippocampus (rp value, 0.41; P = .048).

In contrast, there were no significant changes in synaptic density in either the neocortex (rp value, –0.01; P = .95) or the hippocampus (rp value, –0.06; P = .62) in the hippocampus.

“That is consistent with our clinical observation that it takes time to evolve synaptic density, along with clinical improvement. Does that mean that the increase in synaptic density is a precondition for improvement in symptoms? We don’t know,” said Dr. Knudsen.
 

Exciting but not conclusive

Session co-chair Oliver Howes, MD, PhD, professor of molecular psychiatry, King’s College London, agreed that the results do not prove the gradual increase in synaptic density the treatment response lag with SSRIs.

“We definitely don’t yet have all the data to know one way or the other,” he said in an interview.

Another potential hypothesis, he said, is that SSRIs are causing shifts in underlying brain circuits that lead to cognitive changes before there is a discernable improvement in mood.

Indeed, Dr. Howes suggested that increases in synaptic density and cognitive changes related to SSRI use are not necessarily dependent on each other and could even be unrelated.

Also commenting on the research, David Nutt, MD, PhD, Edmond J. Safra professor of neuropsychopharmacology at Imperial College London, said that the “delay in therapeutic action of antidepressants has been a puzzle to psychiatrists ever since they were first discerned over 50 years ago. So, these new data in humans, that use cutting edge brain imaging to demonstrate an increase in brain connections developing over the period that the depression lifts, are very exciting.”

A version of this article first appeared on Medscape.com.

BARCELONA – Electrodermal activity (EDA) measured via a smart bracelet/wristband may help predict and track changes in mood and more rapidly assess treatment response in patients with bipolar disorder (BD), early research suggests.

In a small observational pilot study, researchers found the E4 wristband (Empatica Inc) was able to detect fluctuations in mood.

The results highlight the potential of EDA to serve as an objective BD biomarker, noted the investigators, led by Diego Hidalgo-Mazzei, MD, PhD, Bipolar and Depressive Disorders Unit, University of Barcelona.

The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress.
 

A need for objective markers

The evaluation of BD currently consists of clinical interviews, questionnaires, and scales, which largely rely on physician assessment, highlighting the need for objective biomarkers.

Previous studies show that EDA, which tracks changes in the skin due to sweat gland activity in response to psychological stimuli, is reduced in unipolar depression.

The researchers hypothesized that EDA could be a biomarker of mood changes in patients with BD. They recruited 38 patients experiencing manic (n = 12) or depressive (n = 9) episodes or who were euthymic (n = 17) and compared their responses with those of 19 healthy control persons.

Study participants were asked to wear the wristband continuously for approximately 48 hours to measure EDA, motion-based activity, blood volume pulse, and skin temperature.

The 48-hour monitoring session was determined by the battery life of the device, Dr. Hidalgo-Mazzei said in an interview.

The acute-phase patients in the study had three sessions at different time points – one during the acute state, another when the clinician determined there was a response to treatment, and again at remission. Euthymic patients and healthy control persons had a single monitoring session.

Dr. Hidalgo-Mazzei said the study’s protocol is unique because it involves unusually long sessions with the device. In this setup, each sensor collects a sample every second, resulting in highly detailed and granular data.

“At the end, it is a trade-off, as handling such an enormous amount of data for each session requires equally large preprocessing, computing power, and analysis,” he said.

Dr. Hidalgo-Mazzei characterized compliance with the device as “outstanding” for the majority of study participants.

Results showed that mean EDA was notably and significantly lower in BD patients during depressive episodes in comparison with those in other groups. Patients with depression also had significantly less frequent EDA peaks per minute (P = .001 for both).

There were also significant differences in EDA measures between baseline and after treatment in the acute BD groups.

Patients with depression had significant increases in mean EDA (P = .033), EDA peaks per minute (P = .002), and the mean amplitude of EDA peaks (P = .001) from baseline, while manic patients experienced a decrease in the mean amplitude of EDA peaks (P = .001).

It is important for the patient and doctor to know how and when mood fluctuations take place, said Dr. Hidalgo-Mazzei, because treatment for manic and depressive states differ.

“Until now, these mood swings have mostly been diagnosed subjectively, through interview with doctors or by questionnaires, and this had led to real difficulties.

“Arriving at the correct drug is difficult, with only around 30% to 40% of treated individuals having the expected response. We hope that the additional information these systems can provide will give us greater certainty in treating patients.”

However, Dr. Hidalgo-Mazzei said that is still a long way off, noting that this is an exploratory, observational study.

“We need to look at a larger sample and use machine learning to analyze all the biomarkers collected by the wearers to confirm the findings,” he said.
 

A true biomarker?

In a comment, Joseph F. Goldberg, MD, clinical professor of psychiatry at Icahn School of Medicine at Mount Sinai, New York, said the study is an “interesting use of this technology to differentiate physiological correlates of mood states.”

However, he said the findings are limited and preliminary because the sample sizes were small and the measures weren’t repeated.

In addition, medications or other factors that may influence electrophysiologic activity, such as anxiety or panic, were not considered, and Dr. Goldberg noted the researchers did not compare the results with those in patients with other diagnoses.

“So, I don’t think one could call this a biomarker in the sense of having diagnostic specificity,” he said, making the comparison with body temperature, which “goes up in an infection; but fever alone doesn’t tell us much about the nature or cause of a presumed infection. More studies are needed before generalizable conclusion can be drawn.”

Also commenting on the research, Paolo Ossola, MD, PhD, assistant professor of psychiatry, department of medicine and surgery, University of Parma, Italy, described the study as exploratory but preliminary.

He said the researchers have “laid the foundation for a new approach to diagnosing and treating bipolar disorders.

“The shift from the subjective to the biological level could also promote understanding of the underlying mechanistic dynamics of mood swings.”

The study was funded by the Instituto de Salud Carlos III and a Baszucki Brain Research Fund grant from the Milken Foundation. The authors have disclosed no relevant financial relationships.
 

A version of this article first appeared on Medscape.com.

BARCELONA – Electrodermal activity (EDA) measured via a smart bracelet/wristband may help predict and track changes in mood and more rapidly assess treatment response in patients with bipolar disorder (BD), early research suggests.

In a small observational pilot study, researchers found the E4 wristband (Empatica Inc) was able to detect fluctuations in mood.

The results highlight the potential of EDA to serve as an objective BD biomarker, noted the investigators, led by Diego Hidalgo-Mazzei, MD, PhD, Bipolar and Depressive Disorders Unit, University of Barcelona.

The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress.
 

A need for objective markers

The evaluation of BD currently consists of clinical interviews, questionnaires, and scales, which largely rely on physician assessment, highlighting the need for objective biomarkers.

Previous studies show that EDA, which tracks changes in the skin due to sweat gland activity in response to psychological stimuli, is reduced in unipolar depression.

The researchers hypothesized that EDA could be a biomarker of mood changes in patients with BD. They recruited 38 patients experiencing manic (n = 12) or depressive (n = 9) episodes or who were euthymic (n = 17) and compared their responses with those of 19 healthy control persons.

Study participants were asked to wear the wristband continuously for approximately 48 hours to measure EDA, motion-based activity, blood volume pulse, and skin temperature.

The 48-hour monitoring session was determined by the battery life of the device, Dr. Hidalgo-Mazzei said in an interview.

The acute-phase patients in the study had three sessions at different time points – one during the acute state, another when the clinician determined there was a response to treatment, and again at remission. Euthymic patients and healthy control persons had a single monitoring session.

Dr. Hidalgo-Mazzei said the study’s protocol is unique because it involves unusually long sessions with the device. In this setup, each sensor collects a sample every second, resulting in highly detailed and granular data.

“At the end, it is a trade-off, as handling such an enormous amount of data for each session requires equally large preprocessing, computing power, and analysis,” he said.

Dr. Hidalgo-Mazzei characterized compliance with the device as “outstanding” for the majority of study participants.

Results showed that mean EDA was notably and significantly lower in BD patients during depressive episodes in comparison with those in other groups. Patients with depression also had significantly less frequent EDA peaks per minute (P = .001 for both).

There were also significant differences in EDA measures between baseline and after treatment in the acute BD groups.

Patients with depression had significant increases in mean EDA (P = .033), EDA peaks per minute (P = .002), and the mean amplitude of EDA peaks (P = .001) from baseline, while manic patients experienced a decrease in the mean amplitude of EDA peaks (P = .001).

It is important for the patient and doctor to know how and when mood fluctuations take place, said Dr. Hidalgo-Mazzei, because treatment for manic and depressive states differ.

“Until now, these mood swings have mostly been diagnosed subjectively, through interview with doctors or by questionnaires, and this had led to real difficulties.

“Arriving at the correct drug is difficult, with only around 30% to 40% of treated individuals having the expected response. We hope that the additional information these systems can provide will give us greater certainty in treating patients.”

However, Dr. Hidalgo-Mazzei said that is still a long way off, noting that this is an exploratory, observational study.

“We need to look at a larger sample and use machine learning to analyze all the biomarkers collected by the wearers to confirm the findings,” he said.
 

A true biomarker?

In a comment, Joseph F. Goldberg, MD, clinical professor of psychiatry at Icahn School of Medicine at Mount Sinai, New York, said the study is an “interesting use of this technology to differentiate physiological correlates of mood states.”

However, he said the findings are limited and preliminary because the sample sizes were small and the measures weren’t repeated.

In addition, medications or other factors that may influence electrophysiologic activity, such as anxiety or panic, were not considered, and Dr. Goldberg noted the researchers did not compare the results with those in patients with other diagnoses.

“So, I don’t think one could call this a biomarker in the sense of having diagnostic specificity,” he said, making the comparison with body temperature, which “goes up in an infection; but fever alone doesn’t tell us much about the nature or cause of a presumed infection. More studies are needed before generalizable conclusion can be drawn.”

Also commenting on the research, Paolo Ossola, MD, PhD, assistant professor of psychiatry, department of medicine and surgery, University of Parma, Italy, described the study as exploratory but preliminary.

He said the researchers have “laid the foundation for a new approach to diagnosing and treating bipolar disorders.

“The shift from the subjective to the biological level could also promote understanding of the underlying mechanistic dynamics of mood swings.”

The study was funded by the Instituto de Salud Carlos III and a Baszucki Brain Research Fund grant from the Milken Foundation. The authors have disclosed no relevant financial relationships.
 

A version of this article first appeared on Medscape.com.

BARCELONA – Electrodermal activity (EDA) measured via a smart bracelet/wristband may help predict and track changes in mood and more rapidly assess treatment response in patients with bipolar disorder (BD), early research suggests.

In a small observational pilot study, researchers found the E4 wristband (Empatica Inc) was able to detect fluctuations in mood.

The results highlight the potential of EDA to serve as an objective BD biomarker, noted the investigators, led by Diego Hidalgo-Mazzei, MD, PhD, Bipolar and Depressive Disorders Unit, University of Barcelona.

The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress.
 

A need for objective markers

The evaluation of BD currently consists of clinical interviews, questionnaires, and scales, which largely rely on physician assessment, highlighting the need for objective biomarkers.

Previous studies show that EDA, which tracks changes in the skin due to sweat gland activity in response to psychological stimuli, is reduced in unipolar depression.

The researchers hypothesized that EDA could be a biomarker of mood changes in patients with BD. They recruited 38 patients experiencing manic (n = 12) or depressive (n = 9) episodes or who were euthymic (n = 17) and compared their responses with those of 19 healthy control persons.

Study participants were asked to wear the wristband continuously for approximately 48 hours to measure EDA, motion-based activity, blood volume pulse, and skin temperature.

The 48-hour monitoring session was determined by the battery life of the device, Dr. Hidalgo-Mazzei said in an interview.

The acute-phase patients in the study had three sessions at different time points – one during the acute state, another when the clinician determined there was a response to treatment, and again at remission. Euthymic patients and healthy control persons had a single monitoring session.

Dr. Hidalgo-Mazzei said the study’s protocol is unique because it involves unusually long sessions with the device. In this setup, each sensor collects a sample every second, resulting in highly detailed and granular data.

“At the end, it is a trade-off, as handling such an enormous amount of data for each session requires equally large preprocessing, computing power, and analysis,” he said.

Dr. Hidalgo-Mazzei characterized compliance with the device as “outstanding” for the majority of study participants.

Results showed that mean EDA was notably and significantly lower in BD patients during depressive episodes in comparison with those in other groups. Patients with depression also had significantly less frequent EDA peaks per minute (P = .001 for both).

There were also significant differences in EDA measures between baseline and after treatment in the acute BD groups.

Patients with depression had significant increases in mean EDA (P = .033), EDA peaks per minute (P = .002), and the mean amplitude of EDA peaks (P = .001) from baseline, while manic patients experienced a decrease in the mean amplitude of EDA peaks (P = .001).

It is important for the patient and doctor to know how and when mood fluctuations take place, said Dr. Hidalgo-Mazzei, because treatment for manic and depressive states differ.

“Until now, these mood swings have mostly been diagnosed subjectively, through interview with doctors or by questionnaires, and this had led to real difficulties.

“Arriving at the correct drug is difficult, with only around 30% to 40% of treated individuals having the expected response. We hope that the additional information these systems can provide will give us greater certainty in treating patients.”

However, Dr. Hidalgo-Mazzei said that is still a long way off, noting that this is an exploratory, observational study.

“We need to look at a larger sample and use machine learning to analyze all the biomarkers collected by the wearers to confirm the findings,” he said.
 

A true biomarker?

In a comment, Joseph F. Goldberg, MD, clinical professor of psychiatry at Icahn School of Medicine at Mount Sinai, New York, said the study is an “interesting use of this technology to differentiate physiological correlates of mood states.”

However, he said the findings are limited and preliminary because the sample sizes were small and the measures weren’t repeated.

In addition, medications or other factors that may influence electrophysiologic activity, such as anxiety or panic, were not considered, and Dr. Goldberg noted the researchers did not compare the results with those in patients with other diagnoses.

“So, I don’t think one could call this a biomarker in the sense of having diagnostic specificity,” he said, making the comparison with body temperature, which “goes up in an infection; but fever alone doesn’t tell us much about the nature or cause of a presumed infection. More studies are needed before generalizable conclusion can be drawn.”

Also commenting on the research, Paolo Ossola, MD, PhD, assistant professor of psychiatry, department of medicine and surgery, University of Parma, Italy, described the study as exploratory but preliminary.

He said the researchers have “laid the foundation for a new approach to diagnosing and treating bipolar disorders.

“The shift from the subjective to the biological level could also promote understanding of the underlying mechanistic dynamics of mood swings.”

The study was funded by the Instituto de Salud Carlos III and a Baszucki Brain Research Fund grant from the Milken Foundation. The authors have disclosed no relevant financial relationships.
 

A version of this article first appeared on Medscape.com.

BARCELONA – Running therapy rivals antidepressant medication for the treatment of depression and anxiety, results of a new study show. However, running provides greater physical health benefits while adherence is greater with drug treatment.

“Both interventions helped with the depression to around the same extent,” study presenter Brenda W.J.H. Penninx, PhD, professor of psychiatric epidemiology at the VU University Medical Center in Amsterdam said in a release.

However, medication “generally had worse impact on body weight, heart rate variability, and blood pressure, whereas running therapy led to improved effect on general fitness and heart rate,” Dr. Penninx added.

The findings were presented at the annual congress of the European College of Neuropsychopharmacology and recently published in the Journal of Affective Disorders.
 

Research gap

Previous research suggests exercise interventions can have a therapeutic effect equivalent to antidepressants, but their impact on physical health has been “poorly examined in a psychiatric population, the investigators note.

The authors note that depressive and anxiety disorders “cause immense suffering by compromising both mental and physical health,” and the need for effective treatments is “pressing.”

Although antidepressant medication is considered a “standard first-line treatment” alongside psychotherapy, the drugs are “not effective for all and [are] often associated with side effects.”

The Mood Treatment with Antidepressant or Running (MOTAR) study was a partially randomized pragmatic trial in adults with depression and/or anxiety disorder, as determined using the DSM-IV algorithms with the Composite International Diagnostic Interview (CIDI).

The 16-week intervention study included 141 patients with depression and/or anxiety. The mean age was 38.2 years and 58% were women. Participants were offered a choice of treatment: 16 weeks of treatment with the selective serotonin reuptake inhibitor (SSRI) escitalopram (Lexapro) or a 16-week group-based running therapy.

Patients without a strong preference for treatment allocation were randomly assigned to either antidepressant medication or running therapy, while those unwilling to be randomized were allocated to their preferred intervention.

A total of 22 patients were randomly assigned to receive antidepressant treatment and 13 to running therapy. A total of 36 participants chose antidepressant treatment, while 83 chose the running therapy.

Running therapy involved 16 weeks of supervised 45-minute outdoor running sessions to a target of two to three sessions per week, in line with U.S. Centers for Disease Control and Prevention/American College of Sports Medicine recommendations.
 

Physical health benefits

Treatment adherence in the antidepressant group, defined as still using treatment at the posttreatment assessment, was 82.2% vs. 52.1% among running therapy participants, where adherence was specified as completing more than 22 sessions.

Remission was defined as no longer meeting the criteria of a current depressive or anxiety disorder via CIDI at week 16.

On intention-to-treat analysis, this requirement was met by 44.8% of patients taking antidepressants and 43.3% of those in the running therapy group (P = .88).

However, running therapy patients showed significant improvements in weight (P = .001), waist circumference (P = .011), systolic and diastolic blood pressure (P = .011 and P = .002, respectively), heart rate (P = .033), and heart rate variability (P = .006).

The investigators note the more favorable physical health changes in the running therapy group were attributable to “larger improvements in the running therapy group but also due to larger deterioration in the antidepressant group.”

Antidepressants are generally safe and effective and work for most people, said Dr. Penninx. She also noted that untreated depression leads to worse outcomes, so “antidepressants are generally a good choice.”

Nevertheless, she said, “we need to extend our treatment arsenal as not all patients respond to antidepressants or are willing to take them.”

The study’s results, she added, suggest that “implementing exercise therapy is something we should take much more seriously, as it could be a good, and maybe even better, choice for some of our patients.”

Francesca Cirulli, PhD, senior researcher and group leader at the National Institute of Health, Rome, said in an interview that the study is notable because it is one of the first to prospectively measure the effects of antidepressants and running on physical health.

Dr. Cirulli suggested that running therapy could be tried ahead of treatment with antidepressants if patients prefer physical exercise and can adhere to it. However, she said, the findings also suggest that an increase in physical activity should accompany treatment with antidepressant medications.

Overall, Dr. Cirulli said “the message should not be that everyone can be helped by running and antidepressants are bad,” but rather “these are both helpful, but not excellent, interventions against depression.”
 

‘Important limitations’

In a comment, Eduard Vieta, MD, PhD, chair of the department of psychiatry and psychology at the University of Barcelona Hospital Clinic, noted the study has “very important limitations.”

Among the limitations: the inclusion of nonrandomized patients who received the treatment of their choice, causing obvious bias and the “lack of binding and power issues” over the number of patients enrolled. 

Dr. Vieta also said that the results “seem obvious, because it is known that exercise improves physical health.”

The trial therefore shows, “if you can find people who are able to do exercise while depressed and adhere to it, those would benefit from that practice,” he noted.

Also commenting on the research, Eric Ruhe, MD, PhD, Radboud University Medical Center, Nijmegen, the Netherlands, said the results are confirmatory and “again show physical health can influence mental health.”

However, Dr. Ruhe underlined, while it is “common practice” to allow patients to follow their treatment preference and is “understandable from a pragmatic point of view,” the group comparison may be “biased,” compared with a “truly randomized study.”

“For example, patients in the antidepressant group were more depressed, which might be associated with less chance of persisting engagement in the exercises,” he said. “So, we have to be careful not to overinterpret the comparisons between groups, which the authors acknowledge properly.”

Turning to the difference in adherence between the two interventions, Dr. Ruhe said the results show adopting, and adhering to, a lifestyle habit is more difficult than taking a pill.

“This is not exclusively found in psychiatry, indicating that we also have to focus on how to improve compliance to healthy behavior. This could have tremendous impact on health care more generally, but also on psychiatric diseases,” Dr. Ruhe said.

The MOTAR study was funded by a NWO-VICI grant. Funding for the inflammatory markers was provided by ZonMw: The Netherlands Organization for Health Research and Development. The study authors and clinicians interviewed for this story declared no relevant financial relationships.

A version of this article first appeared on Medscape.com.

BARCELONA – Running therapy rivals antidepressant medication for the treatment of depression and anxiety, results of a new study show. However, running provides greater physical health benefits while adherence is greater with drug treatment.

“Both interventions helped with the depression to around the same extent,” study presenter Brenda W.J.H. Penninx, PhD, professor of psychiatric epidemiology at the VU University Medical Center in Amsterdam said in a release.

However, medication “generally had worse impact on body weight, heart rate variability, and blood pressure, whereas running therapy led to improved effect on general fitness and heart rate,” Dr. Penninx added.

The findings were presented at the annual congress of the European College of Neuropsychopharmacology and recently published in the Journal of Affective Disorders.
 

Research gap

Previous research suggests exercise interventions can have a therapeutic effect equivalent to antidepressants, but their impact on physical health has been “poorly examined in a psychiatric population, the investigators note.

The authors note that depressive and anxiety disorders “cause immense suffering by compromising both mental and physical health,” and the need for effective treatments is “pressing.”

Although antidepressant medication is considered a “standard first-line treatment” alongside psychotherapy, the drugs are “not effective for all and [are] often associated with side effects.”

The Mood Treatment with Antidepressant or Running (MOTAR) study was a partially randomized pragmatic trial in adults with depression and/or anxiety disorder, as determined using the DSM-IV algorithms with the Composite International Diagnostic Interview (CIDI).

The 16-week intervention study included 141 patients with depression and/or anxiety. The mean age was 38.2 years and 58% were women. Participants were offered a choice of treatment: 16 weeks of treatment with the selective serotonin reuptake inhibitor (SSRI) escitalopram (Lexapro) or a 16-week group-based running therapy.

Patients without a strong preference for treatment allocation were randomly assigned to either antidepressant medication or running therapy, while those unwilling to be randomized were allocated to their preferred intervention.

A total of 22 patients were randomly assigned to receive antidepressant treatment and 13 to running therapy. A total of 36 participants chose antidepressant treatment, while 83 chose the running therapy.

Running therapy involved 16 weeks of supervised 45-minute outdoor running sessions to a target of two to three sessions per week, in line with U.S. Centers for Disease Control and Prevention/American College of Sports Medicine recommendations.
 

Physical health benefits

Treatment adherence in the antidepressant group, defined as still using treatment at the posttreatment assessment, was 82.2% vs. 52.1% among running therapy participants, where adherence was specified as completing more than 22 sessions.

Remission was defined as no longer meeting the criteria of a current depressive or anxiety disorder via CIDI at week 16.

On intention-to-treat analysis, this requirement was met by 44.8% of patients taking antidepressants and 43.3% of those in the running therapy group (P = .88).

However, running therapy patients showed significant improvements in weight (P = .001), waist circumference (P = .011), systolic and diastolic blood pressure (P = .011 and P = .002, respectively), heart rate (P = .033), and heart rate variability (P = .006).

The investigators note the more favorable physical health changes in the running therapy group were attributable to “larger improvements in the running therapy group but also due to larger deterioration in the antidepressant group.”

Antidepressants are generally safe and effective and work for most people, said Dr. Penninx. She also noted that untreated depression leads to worse outcomes, so “antidepressants are generally a good choice.”

Nevertheless, she said, “we need to extend our treatment arsenal as not all patients respond to antidepressants or are willing to take them.”

The study’s results, she added, suggest that “implementing exercise therapy is something we should take much more seriously, as it could be a good, and maybe even better, choice for some of our patients.”

Francesca Cirulli, PhD, senior researcher and group leader at the National Institute of Health, Rome, said in an interview that the study is notable because it is one of the first to prospectively measure the effects of antidepressants and running on physical health.

Dr. Cirulli suggested that running therapy could be tried ahead of treatment with antidepressants if patients prefer physical exercise and can adhere to it. However, she said, the findings also suggest that an increase in physical activity should accompany treatment with antidepressant medications.

Overall, Dr. Cirulli said “the message should not be that everyone can be helped by running and antidepressants are bad,” but rather “these are both helpful, but not excellent, interventions against depression.”
 

‘Important limitations’

In a comment, Eduard Vieta, MD, PhD, chair of the department of psychiatry and psychology at the University of Barcelona Hospital Clinic, noted the study has “very important limitations.”

Among the limitations: the inclusion of nonrandomized patients who received the treatment of their choice, causing obvious bias and the “lack of binding and power issues” over the number of patients enrolled. 

Dr. Vieta also said that the results “seem obvious, because it is known that exercise improves physical health.”

The trial therefore shows, “if you can find people who are able to do exercise while depressed and adhere to it, those would benefit from that practice,” he noted.

Also commenting on the research, Eric Ruhe, MD, PhD, Radboud University Medical Center, Nijmegen, the Netherlands, said the results are confirmatory and “again show physical health can influence mental health.”

However, Dr. Ruhe underlined, while it is “common practice” to allow patients to follow their treatment preference and is “understandable from a pragmatic point of view,” the group comparison may be “biased,” compared with a “truly randomized study.”

“For example, patients in the antidepressant group were more depressed, which might be associated with less chance of persisting engagement in the exercises,” he said. “So, we have to be careful not to overinterpret the comparisons between groups, which the authors acknowledge properly.”

Turning to the difference in adherence between the two interventions, Dr. Ruhe said the results show adopting, and adhering to, a lifestyle habit is more difficult than taking a pill.

“This is not exclusively found in psychiatry, indicating that we also have to focus on how to improve compliance to healthy behavior. This could have tremendous impact on health care more generally, but also on psychiatric diseases,” Dr. Ruhe said.

The MOTAR study was funded by a NWO-VICI grant. Funding for the inflammatory markers was provided by ZonMw: The Netherlands Organization for Health Research and Development. The study authors and clinicians interviewed for this story declared no relevant financial relationships.

A version of this article first appeared on Medscape.com.

BARCELONA – Running therapy rivals antidepressant medication for the treatment of depression and anxiety, results of a new study show. However, running provides greater physical health benefits while adherence is greater with drug treatment.

“Both interventions helped with the depression to around the same extent,” study presenter Brenda W.J.H. Penninx, PhD, professor of psychiatric epidemiology at the VU University Medical Center in Amsterdam said in a release.

However, medication “generally had worse impact on body weight, heart rate variability, and blood pressure, whereas running therapy led to improved effect on general fitness and heart rate,” Dr. Penninx added.

The findings were presented at the annual congress of the European College of Neuropsychopharmacology and recently published in the Journal of Affective Disorders.
 

Research gap

Previous research suggests exercise interventions can have a therapeutic effect equivalent to antidepressants, but their impact on physical health has been “poorly examined in a psychiatric population, the investigators note.

The authors note that depressive and anxiety disorders “cause immense suffering by compromising both mental and physical health,” and the need for effective treatments is “pressing.”

Although antidepressant medication is considered a “standard first-line treatment” alongside psychotherapy, the drugs are “not effective for all and [are] often associated with side effects.”

The Mood Treatment with Antidepressant or Running (MOTAR) study was a partially randomized pragmatic trial in adults with depression and/or anxiety disorder, as determined using the DSM-IV algorithms with the Composite International Diagnostic Interview (CIDI).

The 16-week intervention study included 141 patients with depression and/or anxiety. The mean age was 38.2 years and 58% were women. Participants were offered a choice of treatment: 16 weeks of treatment with the selective serotonin reuptake inhibitor (SSRI) escitalopram (Lexapro) or a 16-week group-based running therapy.

Patients without a strong preference for treatment allocation were randomly assigned to either antidepressant medication or running therapy, while those unwilling to be randomized were allocated to their preferred intervention.

A total of 22 patients were randomly assigned to receive antidepressant treatment and 13 to running therapy. A total of 36 participants chose antidepressant treatment, while 83 chose the running therapy.

Running therapy involved 16 weeks of supervised 45-minute outdoor running sessions to a target of two to three sessions per week, in line with U.S. Centers for Disease Control and Prevention/American College of Sports Medicine recommendations.
 

Physical health benefits

Treatment adherence in the antidepressant group, defined as still using treatment at the posttreatment assessment, was 82.2% vs. 52.1% among running therapy participants, where adherence was specified as completing more than 22 sessions.

Remission was defined as no longer meeting the criteria of a current depressive or anxiety disorder via CIDI at week 16.

On intention-to-treat analysis, this requirement was met by 44.8% of patients taking antidepressants and 43.3% of those in the running therapy group (P = .88).

However, running therapy patients showed significant improvements in weight (P = .001), waist circumference (P = .011), systolic and diastolic blood pressure (P = .011 and P = .002, respectively), heart rate (P = .033), and heart rate variability (P = .006).

The investigators note the more favorable physical health changes in the running therapy group were attributable to “larger improvements in the running therapy group but also due to larger deterioration in the antidepressant group.”

Antidepressants are generally safe and effective and work for most people, said Dr. Penninx. She also noted that untreated depression leads to worse outcomes, so “antidepressants are generally a good choice.”

Nevertheless, she said, “we need to extend our treatment arsenal as not all patients respond to antidepressants or are willing to take them.”

The study’s results, she added, suggest that “implementing exercise therapy is something we should take much more seriously, as it could be a good, and maybe even better, choice for some of our patients.”

Francesca Cirulli, PhD, senior researcher and group leader at the National Institute of Health, Rome, said in an interview that the study is notable because it is one of the first to prospectively measure the effects of antidepressants and running on physical health.

Dr. Cirulli suggested that running therapy could be tried ahead of treatment with antidepressants if patients prefer physical exercise and can adhere to it. However, she said, the findings also suggest that an increase in physical activity should accompany treatment with antidepressant medications.

Overall, Dr. Cirulli said “the message should not be that everyone can be helped by running and antidepressants are bad,” but rather “these are both helpful, but not excellent, interventions against depression.”
 

‘Important limitations’

In a comment, Eduard Vieta, MD, PhD, chair of the department of psychiatry and psychology at the University of Barcelona Hospital Clinic, noted the study has “very important limitations.”

Among the limitations: the inclusion of nonrandomized patients who received the treatment of their choice, causing obvious bias and the “lack of binding and power issues” over the number of patients enrolled. 

Dr. Vieta also said that the results “seem obvious, because it is known that exercise improves physical health.”

The trial therefore shows, “if you can find people who are able to do exercise while depressed and adhere to it, those would benefit from that practice,” he noted.

Also commenting on the research, Eric Ruhe, MD, PhD, Radboud University Medical Center, Nijmegen, the Netherlands, said the results are confirmatory and “again show physical health can influence mental health.”

However, Dr. Ruhe underlined, while it is “common practice” to allow patients to follow their treatment preference and is “understandable from a pragmatic point of view,” the group comparison may be “biased,” compared with a “truly randomized study.”

“For example, patients in the antidepressant group were more depressed, which might be associated with less chance of persisting engagement in the exercises,” he said. “So, we have to be careful not to overinterpret the comparisons between groups, which the authors acknowledge properly.”

Turning to the difference in adherence between the two interventions, Dr. Ruhe said the results show adopting, and adhering to, a lifestyle habit is more difficult than taking a pill.

“This is not exclusively found in psychiatry, indicating that we also have to focus on how to improve compliance to healthy behavior. This could have tremendous impact on health care more generally, but also on psychiatric diseases,” Dr. Ruhe said.

The MOTAR study was funded by a NWO-VICI grant. Funding for the inflammatory markers was provided by ZonMw: The Netherlands Organization for Health Research and Development. The study authors and clinicians interviewed for this story declared no relevant financial relationships.

A version of this article first appeared on Medscape.com.