Neuropsychiatric disorders in preeclampsia (PE) women are prevalent and worsen PE outcome. Immune-related biomarkers including soluble sCD80 and cytotoxic T-lymphocyte antigen-4 (sCTLA-4) are not well studied in relation to depression, anxiety, and chronic fatigue due to PE.

The aim is to study serum immune-inflammatory biomarkers of PE and delineate their associations with the Hamilton Depression (HAMD), Anxiety (HAMA), and Fibro-Fatigue (FF) rating Scale scores. sCD80, sCTLA-4, vitamin D, granulocyte-macrophage colony-stimulating factor, zinc, copper, magnesium, and calcium were measured in 90 PE compared with 60 non-PE pregnant women.

PE women show higher depression, anxiety and FF rating scale scores as compared with control women. sCTLA-4, sCD80, and copper were significantly higher and zinc, magnesium, and calcium significantly lower in PE women than in controls. Multiple regression analysis showed that around 55.8%-58.0% of the variance in the HAMD, HAMA and FF scores was explained by the regression on biomarkers; the top 3 most important biomarkers were sCTLA-4, sCD80, and vitamin D. The sCTLA-4/sCD80 ratio was significantly and inversely associated with the HAMD/HAMA/FF scores. We found that around 70% of the variance in systolic blood pressure could be explained by sCTLA-4, vitamin D, calcium, and copper.

The findings underscore that PE and depression, anxiety, and chronic fatigue symptoms due to PE are accompanied by activation of the immune-inflammatory response system. More specifically, disbalances among soluble checkpoint molecules seem to be involved in the pathophysiology of hypertension and neuropsychiatric symptoms due to PE.

Endothelial cell activation seems to be an important process in the multifactorial pathophysiology of delayed cerebral ischemia (DCI) and subsequent poor clinical outcome after aneurysmal subarachnoid hemorrhage (aSAH).

To assess the association between biomarker levels of endothelial activation and the occurrence of DCI and poor clinical outcome six months after aSAH.

Between October 2018 and November 2020, 75 aSAH patients were included. Blood samples were taken on admission, days 3–5 and days 9–11 after aSAH. Ten patients with unruptured intracranial aneurysms served as controls. Poor outcome was assessed at six months, defined by a modified Rankin Scale score of 4–6. The cohort was dichotomized into patients with and without DCI and good and poor outcomes. Biomarker levels of von Willebrand factor (vWF), E-selectin, thrombomodulin, syndecan-1 and matrix metalloproteinase (MMP-9) were analyzed and compared between groups by a T-test or Mann–Whitney U test, depending on the normality of the data.

Twelve (16.0%) patients developed DCI, and 39 (41.9%) patients had poor outcomes at six months post-aSAH. None of the biomarkers showed significant differences between patients with and without DCI. vWF and syndecan-1 were elevated on admission and on days 9–11 in patients with poor outcomes (p < 0.05 and p = 0.02, respectively).

Levels of vWF, E-selectin, thrombomodulin, syndecan-1 and MMP-9 were not associated with the occurrence of DCI, although higher levels of vWF and syndecan-1 were associated with poor outcome at six months. Further research is needed to establish the role of these biomarkers in aSAH patients.

Cardiac surgery-associated acute kidney injury (CS-AKI) and fluid overload (FO) are common among neonates who undergo cardiopulmonary bypass, and increase mortality risk. Current diagnostic criteria may delay diagnosis. Thus, there is a need to identify urine biomarkers that permit earlier and more accurate diagnosis.

This single-centre ancillary prospective cohort study describes age- and disease-specific ranges of 14 urine biomarkers at perioperative time points and explores associations with CS-AKI and FO. Neonates (≤28 days) undergoing cardiac surgery were included. Preterm neonates or those who had pre-operative acute kidney injury were excluded. Urine biomarkers were measured pre-operatively, at 0 to < 8 hours after surgery, and at 8 to 24 hours after surgery. Exploratory outcomes included CS-AKI, defined by the modified Kidney Disease Improving Global Outcomes criteria, and>10% FO, both measured at 48 hours after surgery.

Overall, α-glutathione S-transferase, β-2 microglobulin, albumin, cystatin C, neutrophil gelatinase-associated lipocalin, osteopontin, uromodulin, clusterin, and vascular endothelial growth factor concentrations peaked in the early post-operative period; over the sampling period, kidney injury molecule-1 increased and trefoil factor-3 decreased. In the early post-operative period, β-2 microglobulin and α-glutathione S-transferase were higher in neonates who developed CS-AKI; and clusterin, cystatin C, neutrophil gelatinase-associated lipocalin, osteopontin, and α-glutathione S-transferase were higher in neonates who developed FO.

In a small, single-centre cohort, age- and disease-specific urine biomarker concentrations are described. These data identify typical trends and will inform future studies.

Recent theories have implicated inflammatory biology in the development of psychopathology and maladaptive behaviors in adolescence, including suicidal thoughts and behaviors (STB). Examining specific biological markers related to inflammation is thus warranted to better understand risk for STB in adolescents, for whom suicide is a leading cause of death.

Participants were 211 adolescent females (ages 9–14 years; Mage = 11.8 years, SD = 1.8 years) at increased risk for STB. This study examined the prospective association between basal levels of inflammatory gene expression (average of 15 proinflammatory mRNA transcripts) and subsequent risk for suicidal ideation and suicidal behavior over a 12-month follow-up period.

Controlling for past levels of STB, greater proinflammatory gene expression was associated with prospective risk for STB in these youth. Similar effects were observed for CD14 mRNA level, a marker of monocyte abundance within the blood sample. Sensitivity analyses controlling for other relevant covariates, including history of trauma, depressive symptoms, and STB prior to data collection, yielded similar patterns of results.

Upregulated inflammatory signaling in the immune system is prospectively associated with STB among at-risk adolescent females, even after controlling for history of trauma, depressive symptoms, and STB prior to data collection. Additional research is needed to identify the sources of inflammatory up-regulation in adolescents (e.g., stress psychobiology, physiological development, microbial exposures) and strategies for mitigating such effects to reduce STB.

The novel South London and Maudsley Brain Health Clinic (SLaM BHC) leverages advances in remote consultations and biomarkers to provide a timely, cost-efficient and accurate diagnosis in mild cognitive impairment (MCI).

To describe the organisation, patient cohort and acceptability of the remote diagnostic and interventional procedures.

We describe the recruitment, consultation set-up, the clinical and biomarker programme, and the two online group interventions for cognitive wellbeing and lifestyle change. We evaluate the acceptability of the remote consultations, lumbar puncture, saliva genotyping, and remote cognitive and functional assessments.

We present the results of the first 68 (mean age 73, 55% female, 43% minoritised ethnicity) of 146 people who enrolled for full remote clinical, cognitive, genetic, cerebrospinal fluid and neuroimaging phenotyping. A total of 86% were very satisfied/satisfied with the remote service. In all, 67% consented to lumbar puncture, and 95% of those were very satisfied, all having no significant complications. A total of 93% found taking saliva genotyping very easy/easy, and 93% found the cognitive assessments instructions clear. In all, 98% were satisfied with the Cognitive Wellbeing Group, and 90% of goals were achieved in the Lifestyle Intervention Group.

The SLaM BHC provides a highly acceptable and safe clinical model for remote assessments and lumbar punctures in a representative, ethnically diverse population. This allows early and accurate diagnosis of Alzheimer's disease, differentiation from other MCI causes and targets modifiable risk factors. This is crucial for future disease modification, ensuring equitable access to research, and provides precise, timely and cost-efficient diagnoses in UK mental health services.

Executive dysfunction, including working memory deficits, is prominent in posttraumatic stress disorder (PTSD) and can impede treatment effectiveness. Intervention approaches that target executive dysfunction alongside standard PTSD treatments could boost clinical response. The current study reports secondary analyses from a randomized controlled trial testing combined PTSD treatment with a computerized training program to improve executive dysfunction. We assessed if pre-treatment neurocognitive substrates of executive functioning predicted clinical response to this novel intervention.

Treatment-seeking veterans with PTSD (N = 60) completed a working memory task during functional magnetic resonance imaging prior to being randomized to six weeks of computerized executive function training (five 30-minute sessions each week) plus twelve 50-minute sessions of cognitive processing therapy (CEFT + CPT) or placebo training plus CPT (PT + CPT). Using linear mixed effects models, we examined the extent to which the neurocognitive substrates of executive functioning predicted PTSD treatment response.

Results indicated that veterans with greater activation of working memory regions (e.g. lateral prefrontal and cingulate cortex) had better PTSD symptom improvement trajectories in CEFT + CPT v. PT + CPT. Those with less neural activation during working memory showed similar trajectories of PTSD symptom change regardless of treatment condition.

Greater activity of frontal regions implicated in working memory may serve as a biomarker of response to a novel treatment in veterans with PTSD. Individuals with greater regional responsiveness benefited more from treatment that targeted cognitive dysfunction than treatment that did not include active cognitive training. Clinically, findings could inform our understanding of treatment mechanisms and may contribute to better personalization of treatment.

The assessment of technology in hospital settings is a crucial step towards ensuring the delivery of efficient, effective, and safe healthcare.

This study conducts a Hospital-Based Health Technology Assessment to evaluate the efficacy of a screening rapid test for mild Traumatic Brain Injury (mild TBI) utilizing blood biomarkers, specifically Glial Fibrillary Acidic Protein (GFAP) and Ubiquitin C-terminal Hydrolase L1 (UCH-L1). The assessment focuses on the clinical utility and performance characteristics of the proposed rapid test within a hospital setting.

The screening model was meticulously examined for its ability to accurately detect mild TBI, considering the sensitivity and specificity of GFAP and UCH-L1 as blood biomarkers. The study involved a thorough evaluation of the test’s diagnostic accuracy, comparing its outcomes with established standards for mild TBI diagnosis.

Results from the Hospital-Based Health Technology Assessment highlight the potential of the GFAP and UCH-L1 blood biomarker-based rapid test as an efficient screening tool for mild TBI within a hospital environment. The evidence results show that the test is highly sensitive (91 percent to 100 percent) for the prediction of acute traumatic intracranial lesions, which helps rule out injury when the result is negative. When used within 12 hours of injury in adult patients with mild TBI, this test holds promise in reducing the utilization of CT.

The findings contribute valuable insights into the feasibility and reliability of implementing this technology for timely and accurate identification of mild TBI, enhancing clinical decision making and patient care in hospital settings.

Inflammation is increasingly recognised as a fundamental component of the pathophysiology of major depressive disorder (MDD), with a variety of inflammatory biomarkers playing pivotal roles. These markers are closely linked to both the severity of symptoms and the responsiveness to treatments in MDD.

This scoping review aims to explore the scientific literature investigating the complex relationships between inflammatory biomarkers and depression, by identifying new studies and critical issues in current research.

Following the PRISMA Extension for Scoping Reviews guidelines, we systematically searched databases including PubMed, Scopus, PsycINFO, Open Grey and Cochrane Library. Our search focused on articles published from 1 January 2020 to 1 May 2024. We included studies evaluating inflammatory biomarkers in adult patients with MDD, utilising observational and randomised controlled trial designs, and review studies.

Our analysis examined 44 studies on the complex interplay between inflammation and its multiple effects on MDD. Significant associations between specific inflammatory biomarkers and depression severity were found, requiring cautious interpretation. We also highlight several methodological limitations in the current studies, which warrant caution in directly applying these findings to clinical practice. However, identified methodologies show potential for using these biomarkers as diagnostic tools or therapeutic targets, including anti-inflammatory interventions.

The findings emphasise the need for sophisticated, integrative research to understand inflammation's role in MDD. Future studies should identify specific biomarker panels for diagnosing depression and bridging peripheral biomarker measurements with central neuroinflammatory processes, leading to better diagnostic and treatment strategies.

The Mini-Mental State Examination (MMSE) is a composite scale that is included in diagnostic algorithms and in procedures to assess severity of cognitive impairment and efficacy of therapeutic interventions. It is unclear, however, whether the MMSE provides information about the same deficits in different diseases.

To assess patterns of MMSE scores in patients with confirmed diagnosis of Alzheimer's disease or depressive disorder.

We used data from a previously published cross-sectional retrospective observational clinical cohort study. The final analysis included only patients in whom biomarker analysis showed results characteristic of Alzheimer's disease (n = 167) and patients with depressive disorder in whom Alzheimer's disease had been ruled out by analysis of biomarkers (n = 69).

A three-point decline in MMSE score from 30 to 27 reflected impairment of memory recall in patients with Alzheimer's disease, whereas it reflected impairments in calculation and memory recall in patients with depressive disorder. A further three-point decline in MMSE score from 27 to 24 predominantly reflected additional calculation impairment in patients with Alzheimer's disease.

Our results indicate that memory performance is the most important measure of disease severity and the main contributor to the decline in MMSE score at onset of clinical manifestation of Alzheimer's disease. In general, this suggests that memory should be the primary measure used in routine clinical care and the primary endpoint in clinical trials involving patients with Alzheimer's disease at onset of clinical manifestation. Changes in other measures of cognition should prompt consideration of possible comorbidities as a cause, rather than the impact of Alzheimer's disease itself.