Pilot Feasibility Study With Doulas

Conditions: Post Partum; Maternal Depression; Maternal Depression and Parent Practices, Postpartum

Interventions: Behavioral: YouMatter

Sponsors: Duke University

Not yet recruiting

Detecting Alzheimer’s Early by Brain Scan or Blood

While Alzheimer’s disease accounts for about 60-70% of dementia diagnoses, the timing of these diagnoses occur late in disease progression. Identifying early signs of Alzheimer’s may allow individuals time to address potential risk factors in their lives.

“Alzheimer’s disease pathology begins years before symptoms emerge,” said Kristine Yaffe, MD, vice chair in the UCSF Department of Psychiatry and Behavioral Sciences. Yaffe and her team have spent years researching modifiable risk factors that may play a role in dementia development, including physical and cognitive activity, depression, smoking, and cardiovascular health.

A current trajectory of research into Alzheimer’s disease is focusing on ways to detect the disease early, before major symptoms manifest. Two new studies published in The Lancet present different methods for detecting Alzheimer’s disease that converge in their early detection ability.

Alzheimer’s disease is characterized by increased amounts of tau and amyloid-β plaques. Growing research indicates the importance of tau pathology and amyloid-β  accumulation at initiating changes to the brain associated with Alzheimer’s disease.

“Tau is the biology most closely tied to symptoms and future decline,” said Tharick Pascoal, MD, PhD, associate professor of psychiatry and neurology at the University of Pittsburgh and a behavioral neurologist at University of Pittsburgh School of Medicine. “If we can detect tau earlier and stage it more precisely, we can make better decisions about who is truly on an Alzheimer’s trajectory, which matters for clinical trials now and could shape clinical decision-making as new therapies emerge.”

Researchers at the University of Pittsburgh led by Guilherme Povala, PhD, and Bruna Bellaver, PhD, have focused their work on brain scan imaging to detect tau both more effectively, and earlier.

The team’s recently published work compared the ability of two tracers used in non-invasive PET scans to visualize Alzheimer’s-associated tangles of tau protein. To do this, participants underwent paired tau PET scans, the first using a standard tau tracer, Flortaucipir, or a new tracer, MK6240. Within 45 days of the PET scan, participants also received an amyloid-β PET scan and detailed cognitive assessments. Of the 775 initial participants, 682 completed all of the study components.

“Because participants received both tracer scans within a short window, we’re looking at the same moment in the disease course, so differences we see reflect the tracers, not changes over time,” explained co-lead author, Guilherme Povala, PhD, postdoctoral associate at the University of Pittsburgh, about the experimental design.

Analysis showed that imaging with the MK6240 tracer detected more tau than tracing with Flortaucipir. In participants with cognitive impairment and positive amyloid-β results, MK6240 identified move than twice as many tau-positive cases, 15% compared with six percent, which was an additional 23 patients per 100. Tracing with MK6240 also identified increased tau, 28% vs. 16% with Flortaucipir, in patients with mild cognitive impairment and dementia, resulting in 15 or 21 additional cases per 100 participants scanned.

“People typically seek evaluation because they have memory concerns or other symptoms,” pointed out co-lead author, Bruna Bellaver, PhD, research assistant professor of psychiatry at the University of Pittsburgh. “Tau PET is one tool that can help clinicians stage disease biology and make more informed decisions.”

Across the country in California, researchers from University of California, San Francisco, have drawn on their experience with blood biomarkers in an effort to develop a method for detecting Alzheimer’s before major symptoms develop.

The west coast study included 1,350 participants (out of an initial 2248) who were retained in the U.S. Coronary Artery Risk Development in Young Adults (CARDIA) study. Participant blood plasma was tested from samples that were collected at project year 35 (2020-2022) and five years prior. Plasma biomarkers for amyloid-β (Aβ42 and Aβ40) and tau (p-tau217) were measured and used to calculate p-tau217-to-Aβ42 and Aβ42-to-Aβ40 ratios and then those were compared to the cognitive assessment scores that were measured at the same time period. Any participants missing materials were excluded from the initial cohort. During analysis, participants were also classified by Alzheimer’s disease neuropathy status of negative, intermediate and positive based on amyloid PET-validated cutpoints for each marker.

Results from the initial analysis showed that participants with high biomarkers also had both lower processing speeds and lower executive function in the first time point. After five years, the group that initially had high levels of biomarkers now had a 2.5 to 4 times increased risk of rapid decline in verbal memory, and three to four times the risk for rapid decline in processing speed. Together, these data suggest a connection between the observed cognitive decline and increase in biomarkers.

While brain scans, and spinal fluid tests are often used and widely available, blood tests are less invasive and relatively inexpensive, potentially enabling more patients access to diagnostics along with early detection prior to symptom development. While there is potential for measuring blood biomarkers for clinical use, senior author, Yaffe, prescribes cautious optimism. “There’s a possibility of false positives and [these markers] can only be used for Alzheimer’s, not other dementias, meaning about 60% to 70% of all dementia cases,” she said. “But for some people who discover they have the biomarkers, testing could open a window to embark on interventions that may postpone Alzheimer’s onset.” More work is still needed to clarify the utility of both early detection methods in the clinic.

Overall, both studies show significant progress in developing strategies to identify dementia, and specifically Alzheimer’s disease, earlier. Earlier diagnosis may lead to earlier intervention and potentially more positive outcomes for patients. As Yaffee concluded, “Detecting the disease early means patients can target modifiable risk factors and maybe seek other care.”

The post Detecting Alzheimer’s Early by Brain Scan or Blood appeared first on Inside Precision Medicine.

<![CDATA[Phase 3 data show COMP360 psilocybin rapidly lifts treatment-resistant depression, with durable MADRS gains and stronger effects from two sessions.]]>

Perceived stress and depression among Chinese nurses: a cross-sectional mediation analysis of psychological flexibility and its components

BackgroundPerceived stress is a significant risk factor for depression among healthcare professionals. While this fundamental relationship is well-documented, the potential mediating mechanisms—specifically the role of psychological flexibility and its distinct components—in buffering the impact of perceived stress on depression within the nursing community remain poorly understood.MethodsThis cross-sectional study recruited 3,920 nurses from three tertiary Grade A public hospitals in Xi’an, China, using convenience sampling, of whom 3,611 were included in the final analysis. Data were collected online using the Chinese versions of Cohen’s Perceived Stress Scale and the Comprehensive Assessment of Acceptance and Commitment Therapy Processes, as well as the Patient Health Questionnaire-9. Pearson correlation analyzes and mediation analysis were conducted to examine the associations among perceived stress, psychological flexibility, and depression.ResultsDepression was positively correlated with perceived stress (r = 0.63, p < 0.01). Mediation analysis indicated that perceived stress was significantly associated with depression both directly (b = 0.47, 95% CI: 0.45 to 0.49) and indirectly via psychological flexibility (b = 0.12, 95% CI: 0.11 to 0.13) and its components, including acceptance and cognitive defusion (b = 0.14, 95% CI: 0.13 to 0.15), and values and committed action (b = 0.06, 95% CI: 0.04 to 0.08). The indirect association through mindfulness and self-as-context was not significant (b = 0.01, 95% CI: 0.00 to 0.02).ConclusionsPsychological flexibility and some of its components were involved in partial indirect associations between perceived stress and depression among Chinese nurses. These findings suggest that psychological flexibility may help understand how perceived stress is statistically associated with depression in this population. Given the cross-sectional design, however, the results should be interpreted as statistical associations rather than evidence of causal relationships.

Beyond empirically supported treatments: a new contextualized evidence framework for evidence based psychology

Over the past three decades, criteria for Empirically Supported Treatments (ESTs) have strengthened methodological rigor in psychotherapy research by prioritizing randomized controlled trials and systematic evidence synthesis. However, prevailing frameworks remain largely centered on efficacy under controlled conditions, offering limited operational guidance for integrating contextual factors that critically shape real-world effectiveness. We propose the Contextualized Empirically Supported Treatment Framework (C-EST), a normative and operational model that integrates certainty of evidence with structured appraisal of contextual domains essential for clinical decision-making, guideline development, and policy. Building on the Tolin criteria, GRADE, GRADE-CERQual, and the GRADE Evidence-to-Decision approach, C-EST embeds assessment of empirical certainty within five interconnected domains (1): empirical evidence (2), critical appraisal of the body of evidence, (3) functional and cultural impact, (4) contextual factors, including values, acceptability, feasibility, and equity, and (5) transparency and living evidence. Rather than relying on binary classifications (“supported” vs. “unsupported”), the framework enables nuanced judgments such as “supported with contextual concerns,” explicitly documenting boundaries of applicability. Using Cognitive Behavioral Therapy for depression and psychological interventions for postpartum depression as illustrative cases, we demonstrate how contextual appraisal refines, rather than weakens, established evidence classifications. By aligning internal validity with external, cultural, and equity relevance, C-EST transforms evidence evaluation from a static designation into a dynamic decision-support tool. Integrating contextual evidence is not an ethical add-on but a methodological imperative to ensure that psychological treatments are not only efficacious, but applicable, equitable, and responsive to diverse real-world mental health needs.

A bidirectional relationship between atrial fibrillation and depression: epidemiology, mechanisms, and clinical implications

Atrial fibrillation (AF) represents a common cardiac arrhythmia that carries substantial morbidity and mortality risks, whereas depression serves as a significant psychological factor affecting cardiovascular health. Recent findings underscore a reciprocal relationship between AF and depression, suggesting that depression may heighten the likelihood of developing AF, while AF may, in turn, worsen depressive symptoms. This review aims to provide a thorough examination of the epidemiological features that underpin this relationship, focusing on population-based research that clarifies prevalence rates and associated risk factors. Furthermore, it delves into the intricate biological and psychosocial mechanisms that connect these two conditions, which include dysregulation of the autonomic nervous system, inflammation, neurohormonal pathways, and behavioral influences. The clinical ramifications of this reciprocal association are also addressed, highlighting the necessity for integrated screening and management approaches to enhance patient outcomes. By consolidating existing research, this article seeks to enrich the understanding of the relationship between AF and depression, as well as to assist clinicians in optimizing therapeutic strategies tailored to address this dual burden.

Plasma microRNA signatures in drug-naïve Romanian adolescents with first-episode psychosis

Psychotic disorders are a group of severe psychiatric conditions with onset typically occurring in adolescence or early adulthood. Despite significant efforts to identify clinically useful candidates, no validated biomarkers for psychiatric disorders currently exist. The diagnosis of psychotic disorders is exclusively based on clinical assessment, significantly affected by individual differences and symptom overlap. Although circulating microRNAs (miRNAs) have emerged as potential peripheral biomarkers for early diagnosis and disease evolution, most studies concentrate on adult, medicated cohorts. Studies on miRNA profiles in drug-naïve adolescents with first-episode psychosis (FEP) are scarce. This study aims to identify the plasma miRNA profile in treatment-naïve Romanian adolescents with first-episode psychosis and to compare it with that of age- and sex-matched healthy controls. The plasma from 14 adolescents, seven drug-naïve FEP and seven and age-matched controls (CTRL) aged 15–18 years was collected. Psychiatric symptoms were assessed using PANSS, HAM-D, and YMRS scales. The levels of 179 miRNAs were assessed using qRT-PCR. A case-control analysis on miRNAs levels between FEP and CTRL was performed, as well as correlations with clinical measures. Twenty-one miRNAs showed significantly lower levels and two higher levels in FEP patients compared to controls. After adjustment for multiple comparisons, miR-125a-5p, miR-205-5p, miR-145-5p, miR-363-3p, and miR-23b-3p remained statistically significant (FDR<0.05). Notably, miR-125a-5p, miR-23b-3p, and miR-146a-5p levels negatively correlated with psychotic, depressive, and manic symptom severity, while miR-16-5p and miR-363-3p positively correlated with symptom scores. Comparison with previous studies indicated limited overlap, reflecting potential influences of age, treatment status, and genetic or environmental factors. This work demonstrates that Romanian treatment-naïve adolescents with first-episode psychosis had a unique circulating miRNA profile correlated with symptom severity, indicating their potential as early-stage biomarkers. The results underscore the necessity of accounting for age, treatment status, and environmental variables in the interpretation of miRNA modifications in psychotic illnesses.