Is there a personalized medicine for mood disorders?

The clinical perspective on late-onset depression in European real-world treatment settings

The clinical phenotype of the so-called late-onset depression (LOD) affecting up to 30% of older adults and yielding heterogeneous manifestations concerning symptoms, severity and course has not been fully elucidated yet. This European, cross-sectional, non-interventional, naturalistic multicenter study systematically investigated socio-demographic and clinical correlates of early-onset depression (EOD) and LOD (age of onset ≥ 50 years) in 1410 adult in- and outpatients of both sexes receiving adequate psychopharmacotherapy. In a total of 1329 patients (94.3%) with known age of disease onset, LOD was identified in 23.2% and was associated with unemployment, an ongoing relationship, single major depressive episodes, lower current suicidal risk and higher occurrence of comorbid hypertension. In contrast, EOD was related to higher rates of comorbid migraine and additional psychotherapy. Although the applied study design does not allow to draw any causal conclusions, the present results reflect broad clinical settings and emphasize easily obtainable features which might be characteristic for EOD and LOD. A thoughtful consideration of age of onset might, hence, contribute to optimized diagnostic and therapeutic processes in terms of the globally intended precision medicine, ideally enabling early and adequate treatment allocations and implementation of respective prevention programs.

[Premenstrual dysphoric disorder (PMDD): Drug and psychotherapeutique management, a literature review]

INTRODUCTION

Premenstrual Dysphoric Disorder (PMDD) was first recognised in July 2013 in the DSM-5 after a long journey to identify its existence. It was not until 1983 that the US National Institute of Mental Health determined research criteria for the study of PMS. In 1994, the term "premenstrual dysphoric disorder" (PMDD) replaced this term in the 4th edition of the Diagnostic System Manual (DSM). It was listed in the section "Mood Disorder Not Otherwise Specified" and remained under consideration until the DSM-5, in which it appeared in the depressive disorders section. The legitimisation of the psychiatric diagnosis as well as the determination of clear symptomatology criteria in 2013 opened up possibilities for management, development of clinical, pathophysiological, therapeutic and psychotherapeutic studies. This disabling disorder can affect personal, social, family and professional life. In 2019, the ICD-11 in turn introduced the diagnosis of premenstrual dysphoric disorder, which solidifies the recognition of the disorder.

OBJECTIVE

(I) to review the existing treatments, both medicinal and psychotherapeutic, and (II) to review their effectiveness. At the end of this work we will formulate recommendations for the management of these patients.

METHODOLOGY

A bibliographic search was carried out from 7 June 2021 to 7 July2021 on the databases (bases de données) Psychinfo APA, Scopus, PubMed, as well as the bases de données of the Cochrane organisation and the recommendation documents of the Haute Autorité de la santé. After an initial selection based on keywords, the full text of all articles were read to arrive at the final selection of 32 articles.

RESULTS

Antidepressants and Cognitive Behavioural Therapies (CBT) appear to be the most commonly recommended treatments for PMDD. Other research shows the effectiveness of oral contraceptives including drospirenone. Selective serotonin reuptake inhibitors (SSRIs) were identified as an effective treatment for PMDD. These data are consistent with the current etiological hypothesis of PMDD which has a negative impact of natural hormonal fluctuations on certain neurotransmitters. CBT showed positive results in reducing the functional impact of PMDD.

DISCUSSION

Selective serotonin reuptake inhibitor (SSRI) antidepressants were reported to be first-line treatments for PMDD (sertraline 50-150 mg/d, fluoxetine 10-20 mg/d, escitalopram 10-20 mg/d, paroxetine 12.5-25 mg/d). Drospirenone (EE 3 mg and EE 20 mg/d 24 days of hormonal pills, 4 days inactive) appears to have been a first or second line treatment depending on the articles. Current results clearly point to the effectiveness of CBT in helping to reduce: functional impairment, depressed mood, feelings of hopelessness, anxiety, mood swings, sensitivity, irritability, insomnia, conflict with others, impact of premenstrual symptoms on daily life, intensity of symptoms experienced, and symptom handicap. CBTs could also become a first-line treatment if there were to be more evidence of their effectiveness. In the future, it would seem useful to offer a psychotherapeutic treatment that can be reproduced and to multiply research with a high level of scientific comparability in order to clarify the place of CBT in the management of PMDD. Research on the etiopathology of the disorder and the optimal drug regimen is still ongoing. There is a need to develop appropriate psychotherapeutic techniques to support and accompany these patients.

CONCLUSION

In order to better evaluate treatments for PMDD, there is a need to homogenise studies on the subject at several levels: design, treatment doses, psychotherapeutic techniques, and evaluation measures. At present, some studies include both premenstrual syndrome (PMS) and PMDD patients. PMS and PMDD do not include the same symptoms, nor the same severity and potentially the same aetiology in the patients studied. In order to propose rigorous research that evaluates the effectiveness of treatments for PMDD and to properly support people with both these disorders, it seems essential to distinguish the two conditions. The role of the health practitioner is to be able to identify PMDD by differentiating it from other clinically related disorders. The patient must then be accompanied to make a choice of treatment adapted to her symptoms, their severity, her history, her plans for procreation, contraindications and her preferences. In 2021, the French National Authority for Health did not offer any guidelines or recommendations for the management of premenstrual dysphoric disorder. There is a need to develop research in France.

A Systematic Review of Circulatory microRNAs in Major Depressive Disorder: Potential Biomarkers for Disease Prognosis

Major depressive disorder (MDD) is a neuropsychiatric disorder, which remains challenging to diagnose and manage due to its complex endophenotype. In this aspect, circulatory microRNAs (cimiRNAs) offer great potential as biomarkers and may provide new insights for MDD diagnosis. Therefore, we systemically reviewed the literature to explore various cimiRNAs contributing to MDD diagnosis and underlying molecular pathways. A comprehensive literature survey was conducted, employing four databases from 2012 to January 2021. Out of 1004 records, 157 reports were accessed for eligibility criteria, and 32 reports meeting our inclusion criteria were considered for in-silico analysis. This study identified 99 dysregulated cimiRNAs in MDD patients, out of which 20 cimiRNAs found in multiple reports were selected for in-silico analysis. KEGG pathway analysis indicated activation of ALS, MAPK, p53, and P13K-Akt signaling pathways, while gene ontology analysis demonstrated that most protein targets were associated with transcription. In addition, chromosomal location analysis showed clustering of dysregulated cimiRNAs at proximity 3p22-p21, 9q22.32, and 17q11.2, proposing their coregulation with specific transcription factors primarily involved in MDD physiology. Further analysis of transcription factor sites revealed the existence of HIF-1, REST, and TAL1 in most cimiRNAs. These transcription factors are proposed to target genes linked with MDD, hypothesizing that first-wave cimiRNA dysregulation may trigger the second wave of transcription-wide changes, altering the protein expressions of MDD-affected cells. Overall, this systematic review presented a list of dysregulated cimiRNAs in MDD, notably miR-24-3p, let 7a-5p, miR-26a-5p, miR135a, miR-425-3p, miR-132, miR-124 and miR-16-5p as the most prominent cimiRNAs. However, various constraints did not permit us to make firm conclusions on the clinical significance of these cimiRNAs, suggesting the need for more research on single blood compartment to identify the biomarker potential of consistently dysregulated cimiRNAs in MDD, as well as the therapeutic implications of these in-silico insights.

Time Course of Changes in Peripheral Blood Gene Expression During Medication Treatment for Major Depressive Disorder

Changes in gene expression (GE) during antidepressant treatment may increase understanding of the action of antidepressant medications and serve as biomarkers of efficacy. GE changes in peripheral blood are desirable because they can be assessed easily on multiple occasions during treatment. We report here on GE changes in 68 individuals who were treated for 8 weeks with either escitalopram alone, or escitalopram followed by bupropion. GE changes were assessed after 1, 2, and 8 weeks of treatment, with significant changes observed in 156, 121, and 585 peripheral blood gene transcripts, respectively. Thirty-one transcript changes were shared between the 1- and 8-week time points (seven upregulated, 24 downregulated). Differences were detected between the escitalopram- and bupropion-treated subjects, although there was no significant association between GE changes and clinical outcome. A subset of 18 genes overlapped with those previously identified as differentially expressed in subjects with MDD compared with healthy control subjects. There was statistically significant overlap between genes differentially expressed in the current and previous studies, with 10 genes overlapping in at least two previous studies. There was no enrichment for genes overexpressed in nervous system cell types, but there was a trend toward enrichment for genes in the WNT/β-catenin pathway in the anterior thalamus; three genes in this pathway showed differential expression in the present and in three previous studies. Our dataset and other similar studies will provide an important source of information about potential biomarkers of recovery and for potential dysregulation of GE in MDD.

Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping

Research into major depressive disorder (MDD) is complicated by population heterogeneity, which has motivated the search for more homogeneous subtypes through data-driven computational methods to identify patterns in data. In addition, data on biological differences could play an important role in identifying clinically useful subtypes. This systematic review aimed to summarize evidence for biological subtypes of MDD from data-driven studies. We undertook a systematic literature search of PubMed, PsycINFO, and Embase (December 2018). We included studies that identified (1) data-driven subtypes of MDD based on biological variables, or (2) data-driven subtypes based on clinical features (e.g., symptom patterns) and validated these with biological variables post-hoc. Twenty-nine publications including 24 separate analyses in 20 unique samples were identified, including a total of ~ 4000 subjects. Five out of six biochemical studies indicated that there might be depression subtypes with and without disturbed neurotransmitter levels, and one indicated there might be an inflammatory subtype. Seven symptom-based studies identified subtypes, which were mainly determined by severity and by weight gain vs. loss. Two studies compared subtypes based on medication response. These symptom-based subtypes were associated with differences in biomarker profiles and functional connectivity, but results have not sufficiently been replicated. Four out of five neuroimaging studies found evidence for groups with structural and connectivity differences, but results were inconsistent. The single genetic study found a subtype with a distinct pattern of SNPs, but this subtype has not been replicated in an independent test sample. One study combining all aforementioned types of data discovered a subtypes with different levels of functional connectivity, childhood abuse, and treatment response, but the sample size was small. Although the reviewed work provides many leads for future research, the methodological differences across studies and lack of replication preclude definitive conclusions about the existence of clinically useful and generalizable biological subtypes.

Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study

BACKGROUND

Etiological research of depression and anxiety disorders has been hampered by diagnostic heterogeneity. In order to address this, researchers have tried to identify more homogeneous patient subgroups. This work has predominantly focused on explaining interpersonal heterogeneity based on clinical features (i.e. symptom profiles). However, to explain interpersonal variations in underlying pathophysiological mechanisms, it might be more effective to take biological heterogeneity as the point of departure when trying to identify subgroups. Therefore, this study aimed to identify data-driven subgroups of patients based on biomarker profiles.

METHODS

Data of patients with a current depressive and/or anxiety disorder came from the Netherlands Study of Depression and Anxiety, a large, multi-site naturalistic cohort study (n = 1460). Thirty-six biomarkers (e.g. leptin, brain-derived neurotrophic factor, tryptophan) were measured, as well as sociodemographic and clinical characteristics. Latent class analysis of the discretized (lower 10%, middle, upper 10%) biomarkers were used to identify different patient clusters.

RESULTS

The analyses resulted in three classes, which were primarily characterized by different levels of metabolic health: 'lean' (21.6%), 'average' (62.2%) and 'overweight' (16.2%). Inspection of the classes' clinical features showed the highest levels of psychopathology, severity and medication use in the overweight class.

CONCLUSIONS

The identified classes were strongly tied to general (metabolic) health, and did not reflect any natural cutoffs along the lines of the traditional diagnostic classifications. Our analyses suggested that especially poor metabolic health could be seen as a distal marker for depression and anxiety, suggesting a relationship between the 'overweight' subtype and internalizing psychopathology.

Circulating microRNAs as biomarkers for depression: Many candidates, few finalists

BACKGROUND

Recent research has highlighted the potential of microRNAs to serve as physiological indicators of disease process among clinically depressed patients.

METHODS

In a comprehensive literature search through PubMed, we identified 23 articles comparing circulating (blood, plasma, or serum) microRNA expression levels in depressed versus healthy human subjects. Six studies examining circulatory microRNA expression through animal models of depression were also identified through the search and details of each study were outlined. A meta-analytic evaluation of these studies was not considered feasible, given the absence of concordance in the literature to date.

RESULTS

A total of 178 specific microRNA candidates were identified in the human studies as significantly expressed among depressed samples. Ninety-seven of these microRNAs were upregulated, 75 were downregulated, and 6 showed mixed expression in depressed samples. Few microRNAs were consistently expressed across studies; the most consistent evidence was for microRNA-132, with replication in 4 different studies. Among animal studies, 2 studies investigated microRNA-16 through distinct stress-induced depression models.

LIMITATIONS

Structural variations in microRNA sequences, methodological inconsistencies in technology used among studies to measure microRNA expression levels, differences in the clinical severity and forms of depression among subjects, and the overall paucity of studies make it difficult to ascertain any robust, preliminary targets deserving of biomarker potential.

CONCLUSIONS

Ongoing research needs to address this high rate of non-replication as well as the methodological and reporting challenges of microRNA experimentation in order to determine valid effect sizes for the more proliferative candidates associated with depression.

Can we observe epigenetic effects on human brain function?

Imaging genetics has identified many contributions of DNA sequence variation to individual differences in brain function, behavior, and risk for psychopathology. Recent studies have extended this work beyond the genome by mapping epigenetic differences, specifically gene methylation in peripherally assessed DNA, onto variability in behaviorally and clinically relevant brain function. These data have generated understandable enthusiasm for the potential of such research to illuminate biological mechanisms of risk. We use our research on the effects of genetic and epigenetic variation in the human serotonin transporter on brain function to generate a guardedly optimistic opinion that the available data encourage continued research in this direction, and suggest strategies to promote faster progress.

Treatment of premenstrual dysphoric disorder

Premenstrual dysphoric disorder (PMDD) is comprised of a cluster of affective, behavioral and somatic symptoms recurring monthly during the luteal phase of the menstrual cycle. The disorder affects 3-8% of menstruating women and represents the more severe and disabling end of the spectrum of premenstrual disorders, which includes premenstrual syndrome and premenstrual aggravation of underlying affective disorder. Rigorous and specific diagnostic criteria for PMDD were specified in the Diagnostic and Statistical Manual of Mental Disorders IV (1994) and reaffirmed in the Diagnostic and Statistical Manual of Mental Disorders V (2013) and, consequently, there has been a marked increase in well-designed, placebo-controlled studies evaluating treatment modalities. Although the exact pathogenesis of PMDD is still elusive, treatment of PMDD and severe premenstrual syndrome has centered on neuromodulation via serotonin reuptake inhibitor antidepressants, and ovulation suppression utilizing various contraceptive and hormonal preparations. Unlike the approach to the treatment of depression, serotonergic antidepressants need not be given daily, but can be effective when used cyclically, only in the luteal phase or even limited to the duration of the monthly symptoms. Less, well-substantiated alternative treatments, such as calcium supplementation, agnus castus (chasteberry), Hypericum perforatum (St John's wort) and cognitive/behavioral/relaxation therapies, may be useful adjuncts in the treatment of PMDD. This review provides an overview of current information on the treatment of PMDD.

Social adjustment among treatment responder patients with mood disorders

BACKGROUND

Patients with major depression (MD) show reduced social adjustment when compared with healthy controls. However, even among treatment responders, significant differences in social adjustment occur. The main aim of the present work is to study several socio-demographic and clinical variables possibly influencing social adjustment in MD patients who responded to treatment.

METHODS

Two hundred and eleven MD patients experiencing a depressive episode who responded to their current treatment were recruited within the context of a large European multicentre project. Our primary outcome measure was the association between 19 socio-demographic and clinical variables and total social adjustment scores, as measured with the Social Adjustment Scale (SAS). Secondary outcome measures included the associations between the same variables and SAS sub-scales, and the associations between these variables and self-esteem, as measured with the Rosenberg Self-Esteem Scale.

RESULTS

A co-morbidity with anxiety disorders and the severity of residual depression symptoms were the strongest independent factors associated with poorer social adjustment, in terms of total and most sub-areas' SAS scores. Other variables associated with total and sub-areas' SAS scores were identified as well, although some variations across different areas were observed.

LIMITATIONS

The cross-sectional design, the retrospective assessment of data and the lack of a placebo control group.

CONCLUSIONS

Our results confirm that a co-morbidity with anxiety disorders and higher residual depression symptoms could reduce social adjustment among responder MD patients. Further longitudinal studies are needed to confirm our results.

Family history of alcohol dependence modulates functional neurophysiology in mood/anxiety disorders

BACKGROUND

A family history (FH) of alcohol dependence (AD) not only increases the risk for AD, but is also associated with an increased risk for mood and anxiety disorders. However, it is unknown how a FH of AD affects neural substrates in patients with mood and anxiety disorders. In this study we examined the effects of an alcoholic FH on cognitive and emotional functions in these patients using functional magnetic resonance imaging (fMRI). Method In a sample of non-alcoholic patients with depressive and/or anxiety disorders from the Netherlands Study of Depression and Anxiety (NESDA) neuroimaging study, patients with a first-degree FH of AD (FH + ; n = 31) were compared with patients without a FH (FH-; n = 77) on performance and brain activation during visuospatial planning and emotional word encoding. Results were compared with those of healthy controls (HCs) without a FH of AD (n = 31).

RESULTS

FH+ patients performed slower during planning with increasing task load, coupled with stronger blood oxygen level-dependent responses in dorsal prefrontal areas compared with FH- patients and HCs. FH was not associated with performance differences during word encoding, but right insula activation during positive word encoding was present in FH+ patients, comparable with HCs, but absent in FH- patients.

CONCLUSIONS

This study demonstrates subtle impairments during planning in FH+ compared with FH- patients and HCs, whereas activation during mood-incongruent stimuli in FH+ patients was similar to HCs but not FH- patients, suggesting that the presence of a FH of AD is a useful marker for the neurophysiological profile in mood/anxiety disorders and possible predictor for treatment success.

Influence of family history of major depression, bipolar disorder, and suicide on clinical features in patients with major depression and bipolar disorder

The extent to which a family history of mood disorders and suicide could impact on clinical features of patients suffering from major depression (MD) and bipolar disorder (BD) has received relatively little attention so far. The aim of the present work is, therefore, to assess the clinical implications of the presence of at least one first- and/or second-degree relative with a history of MD, BD and suicide in a large sample of patients with MD or BD. One thousand one hundred and fifty-seven subjects with MD and 686 subjects with BD were recruited within the context of two large projects. The impact of a family history of MD, BD, and suicide-considered both separately and together-on clinical and socio-demographic variables was investigated. A family history of MD, BD, and suicide was more common in BD patients than in MD patients. A positive family history of mood disorders and/or suicide as well as a positive family history of MD and BD separately considered, but not a positive history of suicide alone, were significantly associated with a comorbidity with several anxiety disorders and inversely associated with age of onset. The clinical implications as well as the limitations of our findings are discussed.

Effects of lurasidone in behavioral models of depression. Role of the 5-HT₇ receptor subtype

Major depression is a common psychiatric disorder associated with high symptomatic and functional burdens. Pharmacological treatment is often effective, but there remain substantial unmet needs in the form of non-responders, delayed onset of clinical effect, and side effects. Recent studies have positioned the serotonin 5-HT₇ receptor as a new target for the treatment of depression. Preclinical studies have shown that antagonists induce an antidepressant-like response, a phenotype that can also be observed in mice lacking the receptor. Lurasidone is a new atypical antipsychotic agent with very high affinity for the 5-HT₇ receptor. Patients in clinical trials have reported improved scores in depression ratings. We have tested lurasidone in both acute and chronic mouse models of depression. In the tail suspension and forced swim tests lurasidone decreased immobility, an antidepressant-like response. The effect required functional 5-HT₇ receptors as it was absent in mice lacking the receptor. In the repeated open-space swim test lurasidone was able to reverse the despair induced by repeated swims in a manner similar to the commonly used antidepressant citalopram. The results provide evidence that lurasidone can act as a 5-HT₇ receptor antagonist and provide a possible explanation for the antidepressant effect data currently emerging from lurasidone clinical trials. Additionally, the results give further support for targeting the 5-HT₇ receptor in the treatment of depression. It will be of interest to clinically evaluate lurasidone as an antidepressant either as monotherapy or as an adjunctive therapy to available drugs.

Personalized medicine in major depressive disorder -- opportunities and pitfalls

The sequencing of the human genome in the early days of this millennium was greeted with great fanfare as this accomplishment was expected to revolutionize medicine and result in individualized treatments based on the genetic make-up of the patient. The ultimate promise of personalized medicine would be fulfilled with the identification of disease biomarkers that would be widely available for use in diagnosis and treatment. Progress, however, has been slow in providing disease biomarkers or approved diagnostic tests. This is true for major depressive disorder (MDD), despite its prevalence in the general population and the widespread acceptance of its biological basis. Studies using strategies like genome-wide association and candidate gene analyses have identified a number of possible biomarkers of MDD, including serum levels of neurotrophic factors, inflammatory cytokines and HPA axis hormones, but none have proven sufficiently powerful for clinical use. The lack of biologically based tests available for use in identifying patients with MDD is a significant impediment to personalized and more effective treatment, because it means diagnosis continues to be driven by subjective symptoms. While genetic studies of MDD have not yet led to diagnostic and treatment biomarkers, progress in determining the role of the genome in drug metabolism heralds the first effort in personalized prescribing for the antidepressants. The FDA suggested and approved genotyping tests for common variants of drug metabolism genes, such as the cytochrome p450s. By using these tests a physician can select an appropriate antidepressant for a given patient, as differences in clearance, half-life, and peak blood concentrations are controlled by genetic variability in drug metabolism. Personalization in drug choice can be achieved because these tests: (1) identify responders and non-responders; (2) provide alerts to possible adverse drug events; and (3) help optimize dose. Improved ways of diagnosing and prescribing effective treatments for MDD are needed, as the available methods are inadequate and symptom based. In the foreseeable future, further interrogation of the genome may serve as the basis for development of new personalized medicine strategies for diagnosis and treatment of MDD.

On the application of light therapy in German-speaking countries

Many studies have investigated seasonal affective disorder (SAD; fall-winter-depression) and its treatment with light therapy (LT). However, to the best of our knowledge, no other study has investigated the usage of LT in Europe since 1994. Thus, we performed a survey in hospitals with adult psychiatric departments in German-speaking countries by questionnaire. First, a questionnaire was constructed, considering also recent developments in LT. This questionnaire was sent to all hospitals with adult psychiatric departments listed in the "Deutsches Krankenhaus Adressbuch," which contains hospitals from all German-speaking countries (Germany, Switzerland, and Austria). Non-responders were asked to answer the questionnaire by mail and by phone. We achieved a completion rate of 58%. Data show almost no relevant, non-artificial differences between countries as well as between type of hospital. LT is more frequently used in university and state hospitals than in other types of treatment facilities. Compared to 1994, the major findings are (1) a substantial increase in the use of LT from 13.0 to 69.8% with no differences between Germany, Austria, and Switzerland, (2) this increase is mostly due to treatment for various forms of depression and further possible applications are less often considered, (3) there is a shift in the usage of LT from monotherapy to combination of pharmacotherapy with LT as an adjunctive treatment, and (4) a north-south comparison showed no substantial differences. Considerably higher rates of usage of LT have been found compared to the last survey in German-speaking countries taking place in 1994. Usage almost tripled; however, possible indications for LT other than SAD and non-seasonal depression are not applied to full extent. Further efforts on the propagation of LT should therefore be undertaken, with the same rigorous studies as for pharmacotherapy.

Bioavailability of S-adenosyl methionine and impact on response in a randomized, double-blind, placebo-controlled trial in major depressive disorder

OBJECTIVE

To characterize the impact of S-adenosyl methionine (SAMe) on homocysteine and potential risk of adverse cardiovascular effects by examining plasma levels of SAMe, S-adenosyl homocysteine (SAH), total homocysteine (tHCY), methionine (MET), and 5-methyltetrahydrofolate (5-MTHF) in 35 of 73 patients from a 6-week randomized double-blind, placebo-controlled trial of SAMe augmentation in serotonin reuptake inhibitor partial responders with DSM-IV major depressive disorder (MDD), published in 2010.

METHOD

Subjects were randomized from June 4, 2004, until August 8, 2008, to adjunctive placebo or SAMe 800-1600 mg/d for 6 weeks. Primary outcome measures included changes in one-carbon cycle intermediates within each treatment arm (by paired t test) and between treatment arms (by independent samples t test). Univariate analysis of variance and Fisher Protected Least Significant Difference were carried out to compare posttreatment levels of each one-carbon cycle intermediate. Secondary outcome measures included associations between clinical improvement and change in plasma intermediate levels, examined by linear regression (for change in Hamilton Depression Rating Scale scores) and logistic regression (for response or remission).

RESULTS

We found significant differences in pretreatment plasma levels of tHCY (P = .03) between the SAMe and placebo arms. Following 6 weeks of treatment, plasma SAMe (P = .002) and SAH (P < .0001) levels increased significantly in the SAMe arm; no intermediates in the placebo group changed significantly. Posttreatment plasma SAMe (P = .0035), SAH (P < .0001), and tHCY (P = .0016) levels differed significantly between the SAMe and placebo groups. No significant associations were found between plasma intermediate levels and clinical improvement, response, or remission.

CONCLUSIONS

Despite concerns about the impact that SAMe therapy may have on homocysteine levels and risk of adverse cardiovascular effects, the lack of significant increase in tHCY levels after treatment suggests that no toxic effects from SAMe should be expected. Our findings, however, have some significant limitations and should be interpreted with caution.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00093847.

Treatment selection in depression: the role of clinical judgment

The selection of treatment in depression should be filtered by clinical judgment, taking into consideration a number of clinical variables, such as characteristics and severity of depressive episode, co-occurring symptomatology and problems (not necessarily syndromes), medical comorbidities, and patient’s history with particular reference to treatment of previous episodes, if they occurred. Such information should be placed within what is actually available in the specific treatment setting and should be integrated with the patient’s preferences. In clinical practice, on the one end, clinical decisions may be affected by irrational factors (eg, exposure to massive doses of pharmaceutical propaganda or familiarity with a specific psychotherapy or medication). On the other end, psychiatrists often use sophisticated forms of clinical judgment that are suitable for clinical challenges but are not addressed by current research strategies. There is increasing awareness of the need of differentiating depression according to specific subtypes, yet clear-cut indications for these subdivisions are still missing. The role of biomarkers, despite many promising research strategies, is still far from offering reliable clinical guidance. In the meanwhile, there are important indications that come from clinical research. Treatment of depression may be conceptualized as integrated treatment of the various components of symptomatology, lifestyle, and social adjustment. An integrated treatment model, discussed in detail elsewhere, is realistic and practical, and not just idealistic. It may be frustrating to those who like oversimplified biological models; however, approaches that integrate clinimetrics, patient priorities, lifestyle issues, and clinical judgment are more in keeping with the complexity of clinical situations and the challenge of depression treatment.