Features of immunometabolic depression as predictors of antidepressant treatment outcomes: pooled analysis of four clinical trials.

BACKGROUND: Profiling patients on a proposed 'immunometabolic depression' (IMD) dimension, described as a cluster of atypical depressive symptoms related to energy regulation and immunometabolic dysregulations, may optimise personalised treatment. AIMS: To test the hypothesis that baseline IMD features predict poorer treatment outcomes with antidepressants. METHOD: Data on 2551 individuals with depression across the iSPOT-D (n = 967), CO-MED (n = 665), GENDEP (n = 773) and EMBARC (n = 146) clinical trials were used. Predictors included baseline severity of atypical energy-related symptoms (AES), body mass index (BMI) and C-reactive protein levels (CRP, three trials only) separately and aggregated into an IMD index. Mixed models on the primary outcome (change in depressive symptom severity) and logistic regressions on secondary outcomes (response and remission) were conducted for the individual trial data-sets and pooled using random-effects meta-analyses. RESULTS: Although AES severity and BMI did not predict changes in depressive symptom severity, higher baseline CRP predicted smaller reductions in depressive symptoms (n = 376, ßpooled = 0.06, P = 0.049, 95% CI 0.0001-0.12, I2 = 3.61%); this was also found for an IMD index combining these features (n = 372, ßpooled = 0.12, s.e. = 0.12, P = 0.031, 95% CI 0.01-0.22, I2= 23.91%), with a higher - but still small - effect size compared with CRP. Confining analyses to selective serotonin reuptake inhibitor users indicated larger effects of CRP (ßpooled = 0.16) and the IMD index (ßpooled = 0.20). Baseline IMD features, both separately and combined, did not predict response or remission. CONCLUSIONS: Depressive symptoms of people with more IMD features improved less when treated with antidepressants. However, clinical relevance is limited owing to small effect sizes in inconsistent associations. Whether these patients would benefit more from treatments targeting immunometabolic pathways remains to be investigated.

Comparing diagnostic criteria for posttraumatic stress disorder in a diverse sample of trauma-exposed youth.

Divergent conceptualization of posttraumatic stress disorder (PTSD) within the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) and International Statistical Classification of Diseases and Related Health Problems (11th ed..; ICD-11) significantly confounds both research and practice. Using a diverse sample of trauma-exposed youth (N = 1,542, age range: 8-20 years), we compared these two diagnostic approaches along with an expanded version of the ICD-11 PTSD criteria that included three additional reexperiencing symptoms (ICD-11+). Within the sample, PTSD was more prevalent using the DSM-5 criteria (25.7%) compared to the ICD-11 criteria (16.0%), with moderate agreement between these diagnostic systems, κ = .57. The inclusion of additional reexperiencing symptoms (i.e., ICD-11+) reduced this discrepancy in prevalence (24.7%) and increased concordance with DSM-5 criteria, κ = .73. All three PTSD classification systems exhibited similar comorbidity rates with major depressive episode (MDE) or generalized anxiety disorder (GAD; 78.0%-83.6%). Most youths who met the DSM-5 PTSD criteria also met the criteria for ICD-11 PTSD, MDE, or GAD (88.4%), and this proportion increased when applying the ICD-11+ criteria (95.5%). Symptom-level analyses identified reexperiencing/intrusions and negative alterations in cognition and mood symptoms as primary sources of discrepancy between the DSM-5 and ICD-11 PTSD diagnostic systems. Overall, these results challenge assertions that nonspecific distress and diagnostically overlapping symptoms within DSM-5 PTSD inflate comorbidity with depressive and anxiety disorders. Further, they support the argument that the DSM-5 PTSD criteria can be refined and simplified without reducing the overall prevalence of psychiatric diagnoses in youth.

Recognizing the importance of childhood maltreatment as a critical factor in psychiatric diagnoses, treatment, research, prevention, and education.

Childhood maltreatment is the most important preventable risk factor for psychiatric disorders. Maltreated individuals typically develop psychiatric disorders at an earlier age, have a more pernicious course, more comorbidities, greater symptom severity, and respond less favorably to treatments than non-maltreated individuals with the same primary DSM-5 diagnosis. Furthermore, maltreated individuals have alterations in stress-susceptible brain regions, hypothalamic-pituitary-adrenal response, and inflammatory marker levels not discernible in their non-maltreated counterparts. Hence, maltreated and non-maltreated individuals with the same primary DSM-5 diagnoses appear to be clinically and neurobiologically distinct. The failure to embody this distinction in DSM-5 has interfered with our ability to discover novel treatments, to recommend currently available treatments most likely to be efficacious, and has been a largely unrecognized confound that has thwarted our ability to identify the biological basis for major psychiatric disorders. Incorporating this distinction into DSM will help transform this sign and symptom-based classification system to a more etiologically informed nosology. We discuss several diagnostic alternatives and recommend the inclusion of a Developmental Trauma Disorder diagnosis for severely dysregulated individuals, of all ages, with numerous comorbidities, who experienced interpersonal victimization and disruptions in attachment, such as emotional maltreatment or neglect. For less severely affected maltreated individuals, we suggest using conventional diagnostic categories, such as major depression, but with an essential modifier indicating a history of childhood maltreatment, or early life stress, to delineate the ecophenotypic variant. Implementing this strategy should improve our ability to effectively diagnose and treat individuals with psychiatric disorders and to accelerate discovery.

A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials.

Criteria for treatment-resistant depression (TRD) and partially responsive depression (PRD) as subtypes of major depressive disorder (MDD) are not unequivocally defined. In the present document we used a Delphi-method-based consensus approach to define TRD and PRD and to serve as operational criteria for future clinical studies, especially if conducted for regulatory purposes. We reviewed the literature and brought together a group of international experts (including clinicians, academics, researchers, employees of pharmaceutical companies, regulatory bodies representatives, and one person with lived experience) to evaluate the state-of-the-art and main controversies regarding the current classification. We then provided recommendations on how to design clinical trials, and on how to guide research in unmet needs and knowledge gaps. This report will feed into one of the main objectives of the EUropean Patient-cEntric clinicAl tRial pLatforms, Innovative Medicines Initiative (EU-PEARL, IMI) MDD project, to design a protocol for platform trials of new medications for TRD/PRD.

Suicide and Inflammation.

Suicide is a leading cause of death worldwide. Although the neurobiological dysfunction underlying suicidal behavior remains unclear, recent work suggests that the immune system may play a role in the pathophysiology of suicide. In this chapter, we discuss a nascent body of literature suggesting that peripheral and central nervous systems (CNS) inflammation are associated with suicidal behavior. Because early-life stress is a major risk factor for suicidal behavior and is also associated with immune dysregulation, we hypothesize that such immune dysregulation may be the mechanism by which childhood maltreatment leads to an increased risk of suicidal behavior and suicide. Targeting inflammatory processes may be a novel treatment strategy, especially in populations that have experienced childhood trauma and exhibit elevated inflammation. Future work should directly test the hypothesis that reducing inflammation would result in a reduction in suicidal behavior.

Specific Associations Between Type of Childhood Abuse and Elevated C-Reactive Protein in Young Adult Psychiatric Rehabilitation Participants.

BACKGROUND: Early-life adversity such as childhood emotional, physical, and sexual trauma is associated with later-life psychiatric and chronic medical conditions, including elevated inflammatory markers. Although previous research suggests a role for chronic inflammatory dysfunctions in several disease etiologies, specific associations between childhood trauma types and later-life inflammation and health status are poorly understood. METHODS: We studied patients (n = 280) admitted to a psychiatric rehabilitation center. Self-reported histories of childhood emotional, physical, and sexual trauma were collected with a standard instrument. At the time of admission, we also assessed individuals' body mass index and collected blood samples used to examine inflammatory marker C-reactive protein (CRP) levels. RESULTS: The prevalence of all 3 types of abuse was relatively high at 21% or more. Fifty percent of the sample had elevations in CRP, with clinically significant elevations in 26%. We found that compared with a history of emotional or physical abuse, a history of childhood sexual trauma was more specifically associated with elevated CRP. This result held up when using linear regressions to examine the contribution of body mass index. LIMITATION: Our sample was relatively young, with an average age of 27.2 years and minimal representation of ethnic and racial minority participants. CONCLUSION: Relative to childhood emotional and physical trauma, childhood sexual trauma may lead to elevated inflammatory responses, as confirmed in our finding of an association between CRP and sexual abuse. Future studies need to assess the causal link between childhood sexual trauma and poorer health outcomes later in life.

Integration of peripheral transcriptomics, genomics, and interactomics following trauma identifies causal genes for symptoms of post-traumatic stress and major depression.

Posttraumatic stress disorder (PTSD) is a debilitating syndrome with substantial morbidity and mortality that occurs in the aftermath of trauma. Symptoms of major depressive disorder (MDD) are also a frequent consequence of trauma exposure. Identifying novel risk markers in the immediate aftermath of trauma is a critical step for the identification of novel biological targets to understand mechanisms of pathophysiology and prevention, as well as the determination of patients most at risk who may benefit from immediate intervention. Our study utilizes a novel approach to computationally integrate blood-based transcriptomics, genomics, and interactomics to understand the development of risk vs. resilience in the months following trauma exposure. In a two-site longitudinal, observational prospective study, we assessed over 10,000 individuals and enrolled >700 subjects in the immediate aftermath of trauma (average 5.3 h post-trauma (range 0.5-12 h)) in the Grady Memorial Hospital (Atlanta) and Jackson Memorial Hospital (Miami) emergency departments. RNA expression data and 6-month follow-up data were available for 366 individuals, while genotype, transcriptome, and phenotype data were available for 297 patients. To maximize our power and understanding of genes and pathways that predict risk vs. resilience, we utilized a set-cover approach to capture fluctuations of gene expression of PTSD or depression-converting patients and non-converting trauma-exposed controls to find representative sets of disease-relevant dysregulated genes. We annotated such genes with their corresponding expression quantitative trait loci and applied a variant of a current flow algorithm to identify genes that potentially were causal for the observed dysregulation of disease genes involved in the development of depression and PTSD symptoms after trauma exposure. We obtained a final list of 11 driver causal genes related to MDD symptoms, 13 genes for PTSD symptoms, and 22 genes in PTSD and/or MDD. We observed that these individual or combined disorders shared ESR1, RUNX1, PPARA, and WWOX as driver causal genes, while other genes appeared to be causal driver in the PTSD only or MDD only cases. A number of these identified causal pathways have been previously implicated in the biology or genetics of PTSD and MDD, as well as in preclinical models of amygdala function and fear regulation. Our work provides a promising set of initial pathways that may underlie causal mechanisms in the development of PTSD or MDD in the aftermath of trauma.

Efficacy of Vortioxetine Monotherapy for Posttraumatic Stress Disorder: A Randomized, Placebo-Controlled Trial.

PURPOSE/BACKGROUND: There are few efficacious pharmacological treatments for posttraumatic stress disorder (PTSD) and many patients fail to benefit from existing treatments. Vortioxetine, a recently developed antidepressant, acts as a serotonin modulator through inhibition of the serotonin transporter and actions at multiple types of serotonin receptors. Its unique pharmacodynamic profile suggests it may have efficacy for the treatment of PTSD. METHODS/PROCEDURES: We conducted a 12-week placebo-controlled, randomized clinical trial of vortioxetine (flexibly dosed from 10 to 20 mg/d) versus placebo in adults with PTSD. The primary outcome was change from baseline in the past-month version of the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), analyzed using a mixed-model repeated-measures analysis of variance. FINDINGS/RESULTS: Forty-one patients were randomized, and 32 (78%) completed the 12 weeks of treatment. The mean reduction in CAPS-5 scores at week 12 did not significantly differ between the 2 arms; the effect size for the difference in changes between vortioxetine and placebo on CAPS-5 total scores at week 12 was Cohen d = 0.29. However, at week 8, the drug-placebo difference was d = 0.78, which met the multivariate criteria for statistical significance, P = 0.014. IMPLICATIONS/CONCLUSIONS: In this study of 41 patients, vortioxetine did not demonstrate superiority over placebo for adults with PTSD. Future PTSD trials may benefit from stratifying the randomization based on number of years since the index traumatic event and a history of failure to respond to treatment.

Prior trauma-related experiences predict the development of posttraumatic stress disorder after a new traumatic event.

BACKGROUND: Many reports have documented the relationship between previous traumatic experiences, including childhood trauma, and the development of later life psychopathology, including posttraumatic stress disorder (PTSD). Identification of individuals at greatest risk for the development of PTSD could lead to preventative interventions. The present study examined the developmental course of PTSD after trauma exposure, using histories of previous traumatic experiences and the severity of the reaction to the trauma as predictors. METHODS: Participants (N = 713) were recruited from Emergency Departments in Miami and Atlanta immediately following a traumatic experience. Histories of previous traumatic experiences and the immediate reaction to the new trauma were examined at baseline. Follow-up assessments of PTSD severity were conducted at 1, 3, and 6 months. RESULTS: Histories of child abuse and pre-existing trauma symptoms predicted the immediate response to stress (R2 = .21, p < .001) and the initial trauma reaction (p < .005).) A mixed-model repeated-measures analysis of variance found that immediate stress response and a history of prior trauma (p < .001) significantly predicted the course of PTSD symptoms. Area under the curve (AUC) analyses suggested that the presence of PTSD at each successive assessment was predicted most substantially by the severity of PTSD at the immediately prior follow-up assessment (AUC > 0.86). CONCLUSIONS: The current findings suggest that previous traumatic experiences lead to a greater immediate reaction to trauma and combine to predict the development of PTSD, the maintenance of which is not moderated by these earlier experiences. The identification of people likely to develop PTSD may be aided by the assessment of prior experiences and immediate reactions.

Precision Psychiatry: Biomarker-Guided Tailored Therapy for Effective Treatment and Prevention in Major Depression.

Depression contributes greatly to global disability and is a leading cause of suicide. It has multiple etiologies and therefore response to treatment can vary significantly. By applying the concepts of personalized medicine, precision psychiatry attempts to optimize psychiatric patient care by better predicting which individuals will develop an illness, by giving a more accurate biologically based diagnosis, and by utilizing more effective treatments based on an individual's biological characteristics (biomarkers). In this chapter, we discuss the basic principles underlying the role of biomarkers in psychiatric pathology and then explore multiple biomarkers that are specific to depression. These include endophenotypes, gene variants/polymorphisms, epigenetic factors such as methylation, biochemical measures, circadian rhythm dysregulation, and neuroimaging findings. We also examine the role of early childhood trauma in the development of, and treatment response to, depression. In addition, we review how new developments in technology may play a greater role in the determination of new biomarkers for depression.

Psychotherapy or medication for depression? Using individual symptom meta-analyses to derive a Symptom-Oriented Therapy (SOrT) metric for a personalised psychiatry.

BACKGROUND: Antidepressant medication (ADM) and psychotherapy are effective treatments for major depressive disorder (MDD). It is unclear, however, if treatments differ in their effectiveness at the symptom level and whether symptom information can be utilised to inform treatment allocation. The present study synthesises comparative effectiveness information from randomised controlled trials (RCTs) of ADM versus psychotherapy for MDD at the symptom level and develops and tests the Symptom-Oriented Therapy (SOrT) metric for precision treatment allocation. METHODS: First, we conducted systematic review and meta-analyses of RCTs comparing ADM and psychotherapy at the individual symptom level. We searched PubMed Medline, PsycINFO, and the Cochrane Central Register of Controlled Trials databases, a database specific for psychotherapy RCTs, and looked for unpublished RCTs. Random-effects meta-analyses were applied on sum-scores and for individual symptoms for the Hamilton Rating Scale for Depression (HAM-D) and Beck Depression Inventory (BDI) measures. Second, we computed the SOrT metric, which combines meta-analytic effect sizes with patients' symptom profiles. The SOrT metric was evaluated using data from the Munich Antidepressant Response Signature (MARS) study (n = 407) and the Emory Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study (n = 234). RESULTS: The systematic review identified 38 RCTs for qualitative inclusion, 27 and 19 for quantitative inclusion at the sum-score level, and 9 and 4 for quantitative inclusion on individual symptom level for the HAM-D and BDI, respectively. Neither meta-analytic strategy revealed significant differences in the effectiveness of ADM and psychotherapy across the two depression measures. The SOrT metric did not show meaningful associations with other clinical variables in the MARS sample, and there was no indication of utility of the metric for better treatment allocation from PReDICT data. CONCLUSIONS: This registered report showed no differences of ADM and psychotherapy for the treatment of MDD at sum-score and symptom levels. Symptom-based metrics such as the proposed SOrT metric do not inform allocation to these treatments, but predictive value of symptom information requires further testing for other treatment comparisons.

Candidate Biomarkers of Suicide Crisis Syndrome: What to Test Next? A Concept Paper.

BACKGROUND: There has been increasing interest in both suicide-specific diagnoses within the psychiatric nomenclature and related biomarkers. Because the Suicide Crisis Syndrome-an emotional crescendo of several interrelated symptoms-seems to be promising for the identification of individuals at risk of suicide, the aim of the present paper is to review the putative biological underpinnings of the Suicide Crisis Syndrome symptoms (entrapment, affective disturbance, loss of cognitive control, hyperarousal, social withdrawal). METHODS: A PubMed literature search was performed to identify studies reporting a link between each of the 5 Suicide Crisis Syndrome symptoms and biomarkers previously reported to be associated with suicidal outcomes. RESULTS: Disturbances in the hypothalamic-pituitary-adrenal axis, with dysregulated corticotropin-releasing hormone and cortisol levels, may be linked to a sense of entrapment. Affective disturbance is likely mediated by alterations in dopaminergic circuits involved in reward and antireward systems as well as endogenous opioids. Loss of cognitive control is linked to altered neurocognitive function in the areas of executive function, attention, and decision-making. Hyperarousal is linked to autonomic dysregulation, which may be characterized by a reduction in both heart rate variability and electrodermal activity. Social withdrawal has been associated with oxytocin availability. There is also evidence that inflammatory processes may contribute to individual Suicide Crisis Syndrome symptoms. CONCLUSION: The Suicide Crisis Syndrome is a complex syndrome that is likely the consequence of distinct changes in interconnected neural, neuroendocrine, and autonomic systems. Available clinical and research data allow for development of empirically testable hypotheses and experimental paradigms to scrutinize the biological substrates of the Suicide Crisis Syndrome.

Common genes associated with antidepressant response in mouse and man identify key role of glucocorticoid receptor sensitivity.

Response to antidepressant treatment in major depressive disorder (MDD) cannot be predicted currently, leading to uncertainty in medication selection, increasing costs, and prolonged suffering for many patients. Despite tremendous efforts in identifying response-associated genes in large genome-wide association studies, the results have been fairly modest, underlining the need to establish conceptually novel strategies. For the identification of transcriptome signatures that can distinguish between treatment responders and nonresponders, we herein submit a novel animal experimental approach focusing on extreme phenotypes. We utilized the large variance in response to antidepressant treatment occurring in DBA/2J mice, enabling sample stratification into subpopulations of good and poor treatment responders to delineate response-associated signature transcript profiles in peripheral blood samples. As a proof of concept, we translated our murine data to the transcriptome data of a clinically relevant human cohort. A cluster of 259 differentially regulated genes was identified when peripheral transcriptome profiles of good and poor treatment responders were compared in the murine model. Differences in expression profiles from baseline to week 12 of the human orthologues selected on the basis of the murine transcript signature allowed prediction of response status with an accuracy of 76% in the patient population. Finally, we show that glucocorticoid receptor (GR)-regulated genes are significantly enriched in this cluster of antidepressant-response genes. Our findings point to the involvement of GR sensitivity as a potential key mechanism shaping response to antidepressant treatment and support the hypothesis that antidepressants could stimulate resilience-promoting molecular mechanisms. Our data highlight the suitability of an appropriate animal experimental approach for the discovery of treatment response-associated pathways across species.

A health care workers mental health crisis line in the age of COVID-19.

INTRODUCTION: The COVID-19 pandemic has brought a health care crisis of unparalleled devastation. A mental health crisis as a second wave has begun to emerge in our front-line health care workers. OBJECTIVE: To address these needs, The Healthcare Worker Mental Health COVID-19 Hotline, based on crisis intervention principles, was developed and launched in 2 weeks. METHODS: Upon reflection of why this worked, we decided it might be useful to describe what we now recognize as 13-steps which led to our success. The process included the following: (1) anticipate mental health needs; (2) use leadership capable of mobilizing the systems and resources; (3) convene a multidisciplinary team; (4) delegate tasks and set timelines; (5) choose a clinical service model; (6) motivate staff as a workforce of volunteers; (7) develop training and educational materials; (8) develop personal, local, and national resources; (9) develop marketing plans; (10) deliver the training; (11) launch a 24 hr/7days per week Healthcare Worker Mental Health COVID-19 Hotline, and launch follow-up sessions for staff; (12) structure data collection to determine effectiveness and outcomes; and (13) obtain funding (not required). DISCUSSION: We believe the process we used is specifically useful for others who may want to develop a COVID-19 hotline services for health care workers and generally useful for the development of other mental health services. CONCLUSION: We hope that this process may serve as a guide for other heath care systems.

Somatic symptoms in treatment-naïve Hispanic and non-Hispanic patients with major depression.

BACKGROUND: Somatic complaints are a major driver of health care costs among patients with major depressive disorder (MDD). Some epidemiologic and clinical data suggest that Hispanic and non-Hispanic Black patients with MDD endorse higher levels of somatic symptoms than non-Hispanic White patients. METHODS: Somatic symptoms in 102 Hispanic, 61 non-Hispanic Black, and 156 non-Hispanic White patients with treatment-naïve MDD were evaluated using the somatic symptom subscale of the Hamilton anxiety rating scale (HAM-A). The other seven items of the HAM-A comprise the psychic anxiety subscale, which was also evaluated across ethnicities. RESULTS: Hispanic patients reported significantly greater levels of somatic symptoms than non-Hispanic patients, but levels of psychic anxiety symptoms did not differ by ethnicity. Levels of somatic symptoms did not significantly differ between Black and White non-Hispanic patients. Within the Hispanic sample, somatic symptom levels were higher only among those who were evaluated in Spanish; Hispanics who spoke English showed no significant differences versus non-Hispanics. CONCLUSIONS: In this medically healthy sample of patients with MDD, monolingual Spanish-speaking Hispanic patients endorsed high levels of somatic symptoms. Clinicians should be mindful that the depressive experience may manifest somatically and be judicious in determining when additional medical work-up is warranted for somatic complaints.

Social media recruitment for mental health research: A systematic review.

BACKGROUND: Social media holds exciting promise for advancing mental health research recruitment, however, the extent and efficacy to which these platforms are currently in use are underexplored. OBJECTIVE: A systematic review was conducted to characterize the current use and efficacy of social media in recruiting participants for mental health research. METHOD: A literature review was performed using MEDLINE, EMBASE, and PsychINFO. Only non-duplicative manuscripts written in the English language and published between 1/1/2004-3/31/2019 were selected for further screening. Data extracted included study type and design, participant inclusion criteria, social media platform, advertising strategy, final recruited sample size, recruitment location, year, monetary incentives, comparison to other recruitment methods if performed, and final cost per participant. RESULTS: A total of 176 unique studies that used social media for mental health research recruitment were reviewed. The majority of studies were cross-sectional (62.5%) in design and recruited adults. Facebook was overwhelmingly the recruitment platform of choice (92.6%), with the use of paid advertisements being the predominant strategy (60.8%). Of the reviewed studies, substance abuse (43.8%) and mood disorders (15.3%) were the primary subjects of investigation. In 68.3% of studies, social media recruitment performed as well as or better than traditional recruitment methods in the number and cost of final enrolled participants. The majority of studies used Facebook for recruitment at a median cost per final recruited study participant of $19.47. In 55.6% of the studies, social media recruitment was the more cost-effective recruitment method when compared to traditional methods (e.g., referrals, mailing). CONCLUSION: Social media appears to be an effective and economical recruitment tool for mental health research. The platform raises methodological and privacy concerns not covered in current research regulations that warrant additional consideration.

Personalized Clinical Approaches to Anxiety Disorders.

Anxiety disorders (ADs) are common psychiatric disorders, with a lifetime prevalence estimated at 33.7% in epidemiological studies. ADs are associated with serious disability and severe impairment in quality of life. Although several treatments [e.g. selective serotonin reuptake inhibitors (SSRIs), serotonin-noradrenaline reuptake inhibitors (SNRIs), pregabalin, tricyclic antidepressants and benzodiazepines and/or cognitive-behaviour therapy (CBT)] are recommended, a large number of patients (i.e. from 30 to 70%) do not achieve complete remission. According to the novel paradigm of personalized medicine, the search of possible predictors of both disease vulnerability and treatment response might be the best way to prevent more accurately disease risk and to tailor the most effective treatment for each individual. Although a growing body of studies have proposed several endophenotypes/markers (i.e. neurochemical, neuroimaging, physiological, genetic and epigenetic endophenotypes/markers) as possible predictors of ADs susceptibility and/or treatment response, findings are not robust enough to be considered acceptable to incorporate in the clinical practice. In order to obtain more reliable results, larger studies with a multimodal approach, based on a combination of different biomarkers, are needed.

The Moderating Effect of Resilience on the Relationship between Adverse Childhood Experiences (ACEs) and Quality of Physical and Mental Health among Adult Sexual and Gender Minorities.

Sexual and gender minority (SGM) individuals experience a greater burden of poor mental health compared to heterosexual individuals. One factor that helps to explain this disparity is trauma experienced during childhood. SGM are more likely to report traumatic experiences during childhood contributing to this disparity. Previous research has shown that resilience moderates the relationship between childhood trauma and adults mental health outcomes. As part of the Strengthening Colors of Pride project, data on 463 SGM adults living in San Antonio were collected using surveys. A diverse recruitment strategy was used in conjunction with a community advisory board. The brief resilience scale (BRS) was used to assess intrapersonal level resilience to determine if there was an effect on the relationship between ACEs and quality of mental and physical health. Differences were noted for some items across low, normal, and high levels of resilience. Both ACEs and BRS significantly predicted quality of mental and physical health. We also noted a significant interaction between ACEs and BRS with regard to quality of mental health. Findings suggest there is a relationship between intrapersonal level resilience, ACEs, and quality of mental health.

Suicidal ideation and other persisting symptoms after CBT or antidepressant medication treatment for major depressive disorder.

BACKGROUND: Persisting symptoms after treatment for major depressive disorder (MDD) contribute to ongoing impairment and relapse risk. Whether cognitive behavior therapy (CBT) or antidepressant medications result in different profiles of residual symptoms after treatment is largely unknown. METHODS: Three hundred fifteen adults with MDD randomized to treatment with either CBT or antidepressant medication in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study were analyzed for the frequency of residual symptoms using the Montgomery Asberg Depression Rating Scale (MADRS) item scores at the end of the 12-week treatment period. Separate comparisons were made for treatment responders and non-responders. RESULTS: Among treatment completers (n = 250) who responded to CBT or antidepressant medication, there were no significant differences in the persistence of residual MADRS symptoms. However, non-responders treated with medication were significantly less likely to endorse suicidal ideation (SI) at week 12 compared with those treated with CBT (non-responders to medication: 0/54, 0%, non-responders to CBT: 8/30, 26.7%; p = .001). Among patients who terminated the trial early (n = 65), residual MADRS item scores did not significantly differ between the CBT- and medication-treated groups. CONCLUSIONS: Depressed adults who respond to CBT or antidepressant medication have similar residual symptom profiles. Antidepressant medications reduce SI, even among patients for whom the medication provides little overall benefit.

Brain Structural and Amyloid Correlates of Recovery From Semantic Interference in Cognitively Normal Individuals With or Without Family History of Late-Onset Alzheimer's Disease.

Failure to recover from proactive semantic interference (frPSI) has been shown to be more sensitive than traditional cognitive measures in different populations with preclinical Alzheimer's disease. The authors sought to characterize the structural and amyloid in vivo correlates of frPSI in cognitively normal offspring of patients with late-onset Alzheimer's disease (O-LOAD), compared with individuals without a family history of neurodegenerative disorders (CS). The authors evaluated the LASSI-L, a test tapping frPSI and other types of semantic interference and delayed recall on the RAVLT, along with 3-T MRI volumetry and positron emission tomography Pittsburgh compound B, in 27 O-LOAD and 18 CS with equivalent age, sex, years of education, ethnicity, premorbid intelligence, and mood symptoms. Recovery from proactive semantic interference (frPSI) and RAVLT delayed recall were lower in O-LOAD cases. Structural correlates of both cognitive dimensions were different in CS and O-LOAD, involving brain regions concerned with autonomic, motor, and motivational control in the former, and regions traditionally implicated in Alzheimer's disease in the latter. Better recovery from retroactive semantic interference was associated with less amyloid load in the left temporal lobe in O-LOAD but not CS. In middle-aged cognitively normal individuals with one parent affected with LOAD, frPSI was impaired compared with persons without a family history of LOAD. The neuroimaging correlates of such cognitive measure in those with one parent with LOAD involve Alzheimer's-relevant brain regions even at a relatively young age.