Depressive State Research Articles

Terbinafine Resistance in Trichophyton Strains Isolated from Humans and Animals: A Retrospective Cohort Study in Italy, 2016 to May 2024.

Background: In recent decades, globalization and international migration have increased the spread of infectious agents, including dermatophytes. Although considered minor infections, dermatophytoses are highly contagious, and they significantly reduce the quality of life, inducing itching, burning, sleep disturbances, and even depressive states. Moreover, the increasing resistance to antifungals threats the public health and burdens the costs for the healthcare system. Methods: DermaGenius® Resistance Multiplex real-time PCR assay allowed to analyze the terbinafine susceptibility/resistance of 172 Trichophyton strains, which were isolated from human and animal samples collected from 2016 to May 2024 and previously identified by Sanger sequencing. Results: All the 11 animal strains belonged to the T. interdigitale/T. mentagrophytes complex and tested terbinafine sensitive. Out of 161 human strains, 9 (5.6%) showed terbinafine resistance and 7 (4.3%) were identified as T. indotineae. Conclusions: This study provides preliminary data about behavior toward antifungals in animals and finalizes the scientific information currently available about human strains, highlighting the importance of the One Health concept. Moreover, it supports the relevant role of T. indotineae as an emerging dermatophyte with high proportion of terbinafine resistance.

Fibromyalgia in patients with non-psychotic mental disorders: Prevalence, associated factors and validation of a brief screening instrument.

Fibromyalgia (FM) is a chronic pain syndrome associated with significant distress and numerous unpleasant consequences. Mental health problems in people with FM have been reported in many studies. People with mental disorders are thought to be at higher risk of FM than the general population, but the prevalence has not been established. We aimed to investigate the prevalence of FM in a representative sample of inpatients with non-psychotic mental disorders. Additionally, we aimed to assess the psychometric properties of the Fibromyalgia Rapid Screening Tool (FiRST) in the Russian-speaking population of people with mental disorders. Consecutive inpatients admitted to the Moscow Research and Clinical Center for Neuropsychiatry for treatment of non-psychotic mental disorders were evaluated for FM by a neurologist and completed the FiRST, Beck Depression Inventory (BDI), and State and Trait Anxiety Inventory (STAI). Of the 1168 patients evaluated 9.0% met the diagnostic criteria for FM. FM was associated with being female, having a diagnosis of unipolar depression, and having higher total scores on the BDI and STAI. The psychometric properties of the FiRST were good (McDonald's omega 0.79, corrected item-total correlation greater than 0.45). An optimal cut-off point with the highest Yuden's index (J = 0.75) was >3 (AUC of 0.89). FM is a common comorbidity in people with non-psychotic mental disorders, associated with being female, having a diagnosis of unipolar depression, and having more severe anxiety and depression. The FiRST can be used for the FM screening with its cut-off >3 in people with non-psychotic mental disorders. It is the first study to determine the prevalence of FM in people with non-psychotic spectrum mental disorders. The study design included a consecutive sample in a real-life setting to avoid bias. In addition, we evaluated the psychometric properties of the FM screening instrument in a population of people with mental disorders and established the cut-off. The specificity of this subpopulation is explained by both the high prevalence of pain symptoms and the overlap of some psychiatric and FM symptoms.

Machine Learning Framework for Classifying and Predicting Depressive Behavior Based on PPG and ECG Feature Extraction

Depression is a significant risk factor for other serious health conditions, such as heart failure, dementia, and diabetes. In this study, a quantitative method was developed to detect depressive states in individuals using electrocardiogram (ECG) and photoplethysmogram (PPG) signals. Data were obtained from 59 people affiliated with the high-specialized medical center of Bajio T1, which consists of medical professionals, administrative personnel, and service workers. Data were analyzed using the Beck Depression Inventory (BDI-II) to discern potential false positives. The statistical analyses performed elucidated distinctive features with variable behavior in response to diverse physical stimuli, which were adeptly processed through a machine learning classification framework. The method achieved an accuracy rate of up to 92% in the identification of depressive states, substantiating the potential of biophysical data in increasing the diagnostic process of depression. The results suggest that this method is innovative and has significant potential. With additional refinements, this approach could be utilized as a screening tool in psychiatry, incorporated into everyday devices for preventive diagnostics, and potentially lead to alarm systems for individuals with suicidal thoughts.

The possibilities of improving the effectiveness of acne therapy

Acne is one of the most urgent problems of dermatology, since this dermatosis is widespread, often occurs during puberty, is accompanied by cosmetic defects, causes increased anxiety, dysmorphic phobia and depressive states. As a result, the quality of life and the possibility of social adaptation decrease in patients. Therefore, it is necessary to optimize the treatment of this disease with the inclusion of modern highly effective drugs. When prescribing treatment, it is necessary to take into account all links in the pathogenesis of acne, and also remember that inflammation plays an important role in the development of dermatosis (especially severe course). With mild acne, it is recommended to prescribe only external therapy, with medium – external therapy and, if necessary, systemic, with severe systemic therapy is used as the main one. The appointment of antibiotics for this dermatosis is dictated by the presence of bacterial flora. Clindamycin is one of the antibiotics that effectively reduce colonization of C. аcnes. To ensure the high efficiency and safety of topical therapy, as well as the prevention of the development of resistance of microorganisms, there is a need to use a combination of at least two drugs. Thus, the combination of clindamycin with benzoyl peroxide makes it possible to increase the effectiveness of therapy due to bactericidal, bacteriostatic, anti-inflammatory and keratolytic actions. The convenient mode of use and the rapid therapeutic effect make it possible to include this combination in the group of priority drugs for the treatment of acne. Comedonolytic, anti-inflammatory and bactericidal effects are also observed in azelaic acid, and therefore drugs containing this component show a high pathogenetic effect in acne.

Effects of positive psychology intervention based on the PERMA model on psychological status and quality of life in patients with Parkinson's disease

ObjectiveTo explore the effect of a positive psychology intervention based on the PERMA model on depressive mood and the quality of life of patients with Parkinson's disease (PD). MethodsA total of 60 patients with PD with depression hospitalised between February 2022 and February 2023 were selected using a convenience sampling method. They were divided into a study group (30 cases) and control group (30 cases) using the random number table method. The control group was given routine nursing, whereas the observation group was treated using the PERMA model of positive psychological intervention. The Unified Parkinson's Disease Rating Scale (UPDRS), Parkinson's Disease Quality-of-Life Questionnaire (PDQ-39), Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Positive and Negative Affect Schedule (PANAS), and Connor–Davidson Resilience Scale (CD-RISC) scores were collected and compared before and after the intervention, and patient care satisfaction after the intervention was also recorded and compared. ResultsStatistically significant differences were identified in the UPDRS (t = 4.221, p < 0.001), PDQ-39 (t = 5.331, p < 0.001), HAMD (t = 4.298, p < 0.001), HAMA (t = 3.412, p < 0.001), CD-RISC (t = 3.426, p < 0.001), and PANAS (t = 3.432, t = 4.523, p < 0.001) scores. The UPDRS, PDQ-39, HAMD, HAMA, and negative emotion scores in the study group were lower than those in the control group, whereas the CD-RISC and positive emotion scores in the study group were higher than those in the control group. A significant difference in nursing satisfaction was also determined between the two groups (Z = −2.700, p = 0.012), and this result was higher in the study group (93.33 %) than in the control group (73.33 %). ConclusionA positive psychology intervention using the PERMA model can effectively counter the negative psychological states of depression, anxiety, and negative emotion in patients with PD, thereby significantly improving their quality of life, psychological resilience levels, and patient satisfaction.

The importance of monitoring neurological manifestations in rehabilitation after radical hysterectomy

Background. Hysterectomy is currently one of the most frequently performed surgical operations in obstetrics and gynecology, second only to cesarean section. However, such intervention is often associated with the risk of complications, including neurological ones. Neurological consequences, due to their characteristics, go beyond physical manifestations and exert psycho-emotional pressure on patients.Objective: to determine the need for monitoring neurological manifestations in women undergoing rehabilitation after hysterectomy.Material and methods. The search and selection of studies in Russian and English languages were conducted according to PRISMA recommendations in scientific databases and electronic libraries: PubMed/MEDLINE, ScienceDirect, Google Scholar, Microsoft Academic, DOAJ, eLibrary, CiberLeninka. In total, 2569 publications were revealed; after subsequent screening 57 articles were selected, which were devoted to the study of neurological adverse effects of hysterectomy and met all the screening criteria.Results. Among all the neurological complications mentioned, the most common is chronic postoperative pain. It is detected in 30% of cases. At the same time, in the vast majority of cases, such pains are rare and are tolerated as mild discomfort. However, there is no unambiguous understanding of the nature of this complication. There is a theory about the essential role of estrogen production and substance P ratio in pain manifestations. Thus, a decrease in estrogen production with unchanged synthesis of substance P significantly reduces the pain threshold in patients, which is the cause of the observed chronic pain. A certain contribution to the formation of this neurological complication is made by residual ovarian syndrome, which is associated with incomplete removal of the ovaries during ovariectomy, traumatic neuroma and mononervopathy. Damage to the nerves or their plexuses in the pelvic area can cause intestinal and urinary disorders, leading to a decrease in the quality of life of patients. Excessive anxiety and depression are additional risk factors for the development of chronic pain after hysterectomy, and the accompanying postoperative changes often have a physical manifestation, for example, in the form of insomnia, restless legs syndrome and sexual dysfunction.Conclusion. Hysterectomy is certainly an effective way to treat a number of gynecological diseases, but it often causes complications that require correction of the rehabilitation program. Neurological negative manifestations need special monitoring, since the depressive state of patients may lead to chronicity of pathological processes.

Neuromolecular and behavioral effects of cannabidiol on depressive-associated behaviors and neuropathic pain conditions in mice

Background and aimsNeuropathic pain (NP) has a high incidence in the general population, is closely related to anxiety disorders, and has a negative impact on the quality of life. Cannabidiol (CBD), as a natural product, has been extensively studied for its potential therapeutic effects on symptoms such as pain and depression (DP). However, the mechanism of CBD in improving NP with depression is not fully understood. MethodsFirst, we used bioinformatics tools to deeply mine the intersection genes associated with NP, DP, and CBD. Secondly, the core targets were screened by Protein-protein interaction network, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes analysis, molecular docking and molecular dynamics simulation. Next, the effects of CBD intervention on pain and depressive behaviors in the spinal nerve ligation (SNL) mouse model were evaluated using behavioral tests, and dose-response curves were plotted. After the optimal intervention dose was determined, the core targets were verified by Western blot (WB) and Quantitative Polymerase Chain Reaction (qPCR). Finally, we investigated the potential mechanism of CBD by Nissl staining, Immunofluorescence (IF) and Transmission Electron Microscopy (TEM). ResultsA total of five core genes of CBD most associated with NP and DP were screened by bioinformatics analysis, including PTGS2, GPR55, SOD1, CYP1A2 and NQO1. Behavioral test results showed that CBD by intraperitoneal administration 5 mg/kg can significantly improve the pain behavior and depressive state of SNL mice. WB, qPCR, IF, and TEM experiments further confirmed the regulatory effects of CBD on key molecules. ConclusionIn this study, we found five targets of CBD in the treatment of NP with DP. These findings provide further theoretical and experimental basis for CBD as a potential therapeutic agent.

Symptoms of depression, anxiety and stress in women with chronic pelvic pain attended at a private hospital in São Luís, Maranhão: a cross-sectional study

ABSTRACT The study aimed to evaluate the relation between depression, anxiety stress symptoms, duration and pain intensity in women with chronic pelvic pain (CPP). This study consisted of a sample of women diagnosed with CPP from April 2021 to August 2023, including women aged 18 years or older who agreed in writing to participate in the study with the Free Informed Consent Form, who could understand the study’s objectives and participate. Women between 31 and 37 years old, married or in a stable relationship, with a higher education degree predominated. Were observed outside the normal range scale 58.8 percent of depression, 66.7 percent of anxiety and 59.8 percent of stress. The level of alteration most often observed in patients was extremely severe in 24 percent of with depression and 33.3 percent of anxiety, and the level was mild in 19.6 percent of stress symptoms. No statistical association was found between duration of pain and emotional states of anxiety, depression or stress. Regarding pain intensity levels, there was no significant association with the presence or absence of symptoms of depression outside the normal range or its levels. It’s was significantly associated with the presence or absence of anxiety symptoms outside the normal range (p = .003) and with their levels (p = .005). Also significantly associated with the presence or absence of stress symptoms outside the normal range (p = .007), as was its levels (p = .023). The symptoms of depression, anxiety and stress occur frequently in women with CPP and that the intensity of pain experienced is significantly associated with the presence of stress and anxiety but not with depression.

Integration of basic and clinical researches to develop the biomarker of ‍depression

Because of absence of the objective biomarker for major depressive disorder (MDD) or depressive state, psychiatrists depend on subjective examinations in order to properly diagnose their patients. We recently identified the candidates of the objective biomarker of depressive state of late-onset MDD by profiling gene expressions in white blood cells of patients and model mice. We also investigated whether gene expression profiling of white blood cells was useful to elucidate the biological alterations in the brain. Furthermore, we newly developed transgenic mice which will be useful for elucidating the neurological mechanisms of emotional abnormalities in psychiatric disorder. In this review, I introduce our recent research to help for understanding of translational approaches to develop the biomarker of depression.

Depression Takes a Toll on Academic Performance: Evidence from Rural Students in China.

Depression is a growing public health concern around the world. For adolescents, depression not only impedes healthy development, but is negatively associated with academic performance. The purpose of this paper is to examine the prevalence of adolescent depressive symptoms in a sample of rural primary and junior high school students. Additionally, we examine various factors to identify subgroups within the sample that may be more vulnerable to depression. Finally, we explore the extent to which depression correlates with academic performance and conduct a series of heterogeneity analyses. We utilize cross-sectional data derived from 30 schools in underdeveloped regions of rural China encompassing primary and junior high school students (n = 1,609). We find a high prevalence of depression, with 23% and 9% of students experiencing general depression (depression score ≥ 14) and severe depression (depression score ≥ 21), respectively. Female gender, elevated stress and anxiety levels, boarding at school, exposure to bullying, and having depressed caregiver(s) are positively correlated with depressive symptoms, while high social support exhibits a negative association. Importantly, our analyses consistently show a significantly negative link between depression and academic performance, which is measured using standardized math tests. For instance, transitioning from a non-depressed state to a state of general depression (depression score ≥ 14) is linked to a decline of 0.348-0.406 standard deviations in math scores (p < 0.01). Heterogeneity analyses reveal that this adverse relationship is more pronounced for male students, boarding students, those with lower social support, individuals with more educated mothers, and those with lower family assets. Our findings underscore the high prevalence of depression in rural schools and the detrimental impact on academic performance. We advocate for the implementation of policies aimed at reducing student depression, particularly within vulnerable populations and subgroups.

Depression exacerbates myocardial ischemia-reperfusion injury in mice via CNR2 gene and MIF-AMPK signaling pathway

BackgroundMyocardial ischemia-reperfusion(I/R)injury constitute the fundamental pathophysiology of acute myocardial infarction (AMI). Ischemic heart releases macrophage migration inhibitory factor (MIF), which activates MIF- AMPK signaling pathway. Depression is a significant risk factor for AMI. In a state of depression, peripheral expression of cannabinoid receptor 2 (CNR2) genes was downregulated. AimsWe investigated the mechanism by which depression exacerbates myocardial I/R injury through the CNR2 and MIF-AMPK signaling pathways. MethodsWe established mouse models of depression and myocardial I/R. Left ventricular function was assessed using cardiac ultrasound and TTC staining. The protein levels of myocardial CNR2, MIF, AMPK, and ACC were determined by Western blot, while the expression level of CNR2 was measured using RT-qPCR. Additionally, MIF content in peripheral blood was quantified using ELISA. ResultsAfter I/R, the expression level of CNR2 was found to be lower in the depression group, leading to a deterioration in left heart function. Depressed mice exhibited lower secretion of MIF, accompanied by a decrease in the activation of the MIF-AMPK signaling pathway. However, injection of CNR2 agonist JWH133 prior to ischemia increased the activation of the MIF-AMPK signaling pathway, while CNR2 inhibitor AM630 decreased the activation. LimitationsFurther research is needed to investigate the specific neuroendocrine mechanism affecting myocardial CNR2 expression in depression. And these experimental conclusions require further verification at the cellular level. ConclusionsThe activation of CNR2 in myocardium following I/R is impeded by depression, thereby exacerbating myocardial I/R injury through attenuation of the MIF-AMPK signaling pathway activation.

What is this thing called misfit? A systematic review into how employee misfit has been defined and researched

AbstractSince 2015, there was a significant surge of interest in employee misfit. These studies demonstrate that although misfit is generally associated with negative outcomes such as organizational exit, social isolation, and depressive states, it can also be viewed more positively as an opportunity for job crafting, growth, and development. In these studies, misfit has been conceptualized, defined, and measured in a myriad of different ways making the interpretation of results problematic. This systematic review investigates how scholars have approached misfit with the goals of documenting and organizing the various ways it has been conceptualized and measured to highlight the main themes and forms of empirical misfit research. The systematic review surfaced 107 studies in 91 papers investigating workplace misfit within the domain of person-environment fit. Close analysis of the design and construction of these studies reveals that misfit has largely been conceptualized atomistically or as value incongruence and there is considerable variation in the way that researchers have defined the concept. It has mainly been measured using atomistic and molar measures rather than molecular ones, which are more suited to misfit investigation. The paper ends with a discussion of the elusiveness of misfit with an argument that it is an umbrella concept beyond definition. Instead, researchers take perspectives on the topic and six different perspectives of employee misfit are identified and defined. Avenues for future research are outlined for each perspective. There is also a discussion of the methodological challenges currently limiting misfit research.

LT-102, an AMPA receptor potentiator, alleviates depression-like behavior and synaptic plasticity impairments in prefrontal cortex induced by sleep deprivation

BackgroundSleep loss is closely related to the onset and development of depression, and the mechanisms involved may include impaired synaptic plasticity. Considering the important role of glutamate α-amino-3-hydroxyl-5-methyl-4-isoxazole-propionate receptors (AMPARs) in synaptic plasticity as well as depression, we introduce LT-102, a novel AMPARs potentiator, to evaluate the potential of LT-102 in treating sleep deprivation-induced depression-like behaviors. MethodsWe conducted a comprehensive behavioral assessment to evaluate the effects of LT-102 on depression-like symptoms in male C57BL/6J mice. This assessment included the open field test to measure general locomotor activity and anxiety-like behavior, the forced swimming test and tail suspension test to assess despair behaviors indicative of depressive states, and the sucrose preference test to quantify anhedonia, a core symptom of depression. Furthermore, to explore the impact of LT-102 on synaptic plasticity, we utilized a combination of Western blot analysis to detect protein expression levels, Golgi-Cox staining to visualize neuronal morphology, and immunofluorescence to examine the localization of synaptic proteins. Additionally, we utilized primary cortical neurons to delineate the signaling pathway modulated by LT-102. ResultsTreatment with LT-102 significantly reduced depression-like behaviors associated with sleep deprivation. Quantitative Western blot (WB) analysis revealed a significant increase in GluA1 phosphorylation in the prefrontal cortex (PFC), triggering the Ca2+/calmodulin-dependent protein kinase II/cAMP response element-binding protein/brain-derived neurotrophic factor (CaMKII/CREB/BDNF) and forkhead box protein P2/postsynaptic density protein 95 (FoxP2/PSD95) signaling pathways. Immunofluorescence imaging confirmed that LT-102 treatment increased spine density and co-labeling of PSD95 and vesicular glutamate transporter 1 (VGLUT1) in the PFC, reversing the reductions typically observed following sleep deprivation. Golgi staining further validated these results, showing a substantial increase in neuronal dendritic spine density in sleep-deprived mice treated with LT-102. Mechanistically, application of LT-102 to primary cortical neurons, resulted in elevated levels of phosphorylated AKT (p-AKT) and phosphorylated glycogen synthase kinase-3 beta (p-GSK3β), key downstream molecules in the BDNF signaling pathway, which in turn upregulated FoxP2 and PSD95 expression. LimitationsIn our study, we chose to exclusively use male mice to eliminate potential influences of the estrous cycle on behavior and physiology. As there is no widely accepted positive drug control for sleep deprivation studies, we did not include one in our research. ConclusionOur results suggest that LT-102 is a promising therapeutic agent for counteracting depression-like behaviors and synaptic plasticity deficits induced by sleep deprivation, primarily through the activation of CaMKII/CREB/BDNF and AKT/GSK3β/FoxP2/PSD95 signaling pathways.

Sleep disturbance as a poor prognostic predictor in patients with advanced non-small-cell lung cancer treated with immune checkpoint inhibitors: A prospective study

BackgroundSleep disturbances are highly prevalent in oncology and often exacerbate symptoms, leading to reduced quality of life, which in turn may further affect the tolerability and efficacy of oncological treatments. Sleep disturbance and cancer have an intimate and complicated relationship, and may be a negative predictor of cancer treatment. The present study aimed to characterize the relationship between sleep disturbance and immune checkpoint inhibitor (ICI) therapy in patients with advanced non-small cell lung cancer (NSCLC). MethodsData from 171 patients with advanced NSCLC, who underwent ICI treatment between December 2020 and October 2022, were analysed in our prospective study. Sleep disturbances were evaluated according to the Pittsburgh Sleep Quality Index (PSQI), with a cut-off value of 5, to investigate the impact of sleep disturbance on the survival of patients with NSCLC and the efficacy of ICI treatment. ResultsThe median progression-free survival (PFS) was10.4 months (9 5% confidence interval [CI]:9.84–10.97). Univariate and multivariate analyses revealed that sleep disturbance and depressive symptom predicted worse prognosis with shortened PFS. Patients who experienced sleep disturbance exhibited a significant reduction in PFS (9.2 vs. 11.8 months; HR: 1.83 [9 5% CI 1.27–2.6 5]; p = 0.001), as did those with depressive states (HR 1.5 5 [9 5% CI 1.06–2.28]; p = 0.02 5). Additionally, patients with sleep disturbance and depressive symptoms exhibited significantly lower objective response rates and disease control rates. ConclusionSleep disturbance could be a factor for prognosis in patients with advanced NSCLC undergoing first- or second-line treatment with ICIs, including shorter PFS and reduced efficacy.

Stany depresyjne młodych matek a konceptualizacje macierzyństwa

The article analyses selected posts published by young mothers in two private Facebook groups entitled Noworodki, niemowlaki, dzieci – wymiana doświadczeń (Newborns, toddlers, children – sharing experiences) and Karmienie piersią i między karmieniami (Breastfeeding and between feedings). The issue influencing the analysis is conceptualisation which is one of the basic concepts in cognitive linguistics. The result of linguistic reflection is the observation of ways for conceptualising motherhood that are associated with psychophysical problems and depressive states of women in the perinatal period. Due to the thematic and temporal scope of the material, 45 entries published in 2022 and 2023 concerning the most difficult experiences were described. The collected examples were assigned to one of six distinguished conceptualisations, each related to the poor psychophysical condition of mothers.

Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions

Mobile sensing-based depression severity assessment could complement the subjective questionnaires-based assessment currently used in practice. However, previous studies on mobile sensing for depression severity assessment were conducted on homogeneous mental health condition participants; evaluation of possible generalization across heterogeneous groups has been limited. Similarly, previous studies have not investigated the potential of free-living audio data for depression severity assessment. Audio recordings from free-living could provide rich sociability features to characterize depressive states. We conducted a study with 11 healthy individuals, 13 individuals with major depressive disorder, and eight individuals with schizoaffective disorders. Communication logs and location data from the participants’ smartphones and continuous audio recordings of free-living from a wearable audioband were obtained over a week for each participant. The depression severity prediction model trained using communication log and location data features had a root mean squared error (rmse) of 6.80. Audio-based sociability features further reduced the rmse to 6.07 (normalized rmse of 0.22). Audio-based sociability features also improved the F1 score in the five-class depression category classification model from 0.34 to 0.46. Thus, free-living audio-based sociability features complement the commonly used mobile sensing features to improve depression severity assessment. The prediction results obtained with mobile sensing-based features are better than the rmse of 9.83 (normalized rmse of 0.36) and the F1 score of 0.25 obtained with a baseline model. Additionally, the predicted depression severity had a significant correlation with reported depression severity (correlation coefficient of 0.76, p<\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p<$$\\end{document}0.001). Thus, our work shows that mobile sensing could model depression severity across participants with heterogeneous mental health conditions, potentially offering a screening tool for depressive symptoms monitoring in the broader population.

Resting-state EEG features modulated by depressive state in healthy individuals: insights from theta PSD, theta-beta ratio, frontal-parietal PLV, and sLORETA.

Depressive states in both healthy individuals and those with major depressive disorder exhibit differences primarily in symptom severity rather than symptom type, suggesting that there is a spectrum of depressive symptoms. The increasing prevalence of mild depression carries lifelong implications, emphasizing its clinical and social significance, which parallels that of moderate depression. Early intervention and psychotherapy have shown effective outcomes in subthreshold depression. Electroencephalography serves as a non-invasive, powerful tool in depression research, with many studies employing it to discover biomarkers and explore underlying mechanisms for the identification and diagnosis of depression. However, the efficacy of these biomarkers in distinguishing various depressive states in healthy individuals and in understanding the associated mechanisms remains uncertain. In our study, we examined the power spectrum density and the region-based phase-locking value in healthy individuals with various depressive states during their resting state. We found significant differences in neural activity, even among healthy individuals. Participants were categorized into high, middle, and low depressive state groups based on their response to a questionnaire, and eyes-open resting-state electroencephalography was conducted. We observed significant differences among the different depressive state groups in theta- and beta-band power, as well as correlations in the theta-beta ratio in the frontal lobe and phase-locking connections in the frontal, parietal, and temporal lobes. Standardized low-resolution electromagnetic tomography analysis for source localization comparing the differences in resting-state networks among the three depressive state groups showed significant differences in the frontal and temporal lobes. We anticipate that our study will contribute to the development of effective biomarkers for the early detection and prevention of depression.

Central effects of &lt;i&gt;ex vivo&lt;/i&gt; caffeine-modulated immune cells in the mechanisms of editing depressive-like behavior

Depression is a serious medical and social problem due to its high prevalence, involvement of people of working age and lack of highly effective therapy. Social stressors contribute to the prevalence of depression. The COVID-19 pandemic and the associated rules of social distancing, military clashes, and a deteriorating economic situation can lead to a painful “breakdown” of socio-biological adaptation mechanisms and contribute to an increase in the prevalence of depressive disorders, which, according to WHO forecasts, may take second place in the world by 2030, which leads to interest in studying this problem and finding new effective approaches to therapy. Decreased cognitive function in depressive disorders is caused by neuroinflammatory and neurodegenerative changes. The latter are predominantly recorded in the hippocampus, numerous changes in the plasticity of which have been observed both in patients with clinical depression and in rodent models of depression. There is also a sufficient amount of data on the significant role of immune cells and their cytokines in depression, including in the development of behavioral phenotype. We have previously shown that spleen cells of depressive-like mice after ex vivo treatment with caffeine, a psychoactive drug with a wide range of immunomodulatory properties, change their functional activity and, after intravenous administration to syngeneic depressive-like recipients, have editing depressive-like behavior effect. The purpose of this work was to investigate the central effects of caffeine-modulated spleen cells in the mechanisms of editing depressive-like behavior. It was found that in depressive-like recipients after transplantation of syngeneic caffeine-modulated splenocytes, there is an increase in the density of neurons in the CA1 and CA3 zones of the hippocampus, accompanied by BDNF level increase in the hippocampus and prefrontal cortex against the background of a decrease of a number of pro-inflammatory (IL-1β, IL-6, IFNγ and TNFα) and increased of anti-inflammatory (IL-10 and IL-4) cytokines in brain structures pathogenetically significant for the state of depression. The mechanisms of the identified structural and functional changes in the recipient’s brain after the caffeine-modulated splenocytes transplantation are discussed, including their possible direct influence, confirmed by visualization of transplanted cells in the brain parenchyma of depressed-like recipients.

Maternal symptoms of depression and anxiety as modifiers of the relationship between prenatal phthalate exposure and infant neurodevelopment in the Atlanta African American maternal-child cohort

BackgroundPrenatal exposure to phthalates, a group of synthetic chemicals widely used in consumer products, has previously been associated with adverse infant and child development. Studies also suggest that maternal depression and anxiety, may amplify the harmful effects of phthalates on infant and child neurodevelopment. Study designOur analysis included a subset of dyads enrolled in the Atlanta African American Maternal-Child Cohort (N = 81). We measured eight phthalate metabolites in first and second trimester (8–14 weeks and 24–32 weeks gestation) maternal urine samples to estimate prenatal exposures. Phthalate metabolite concentrations were averaged across visits and natural log-transformed for analysis. Maternal symptoms of depression and anxiety were assessed using validated questionnaires (Edinberg Postnatal Depression Scale and State Trait Anxiety Inventory, respectively) and the total score on each scale was averaged across study visits. The NICU Network Neurobehavioral Scale (NNNS) was administered at two weeks of age. Our primary outcomes included two composite NNNS scores reflecting newborn attention and arousal. Linear regression was used to estimate associations between individual phthalate exposures and newborn attention and arousal. We assessed effect modification by maternal depression and anxiety. ResultsHigher levels of urinary phthalate metabolites were not associated with higher levels of infant attention and arousal, but true associations may still exist given the limited power of this analysis. In models examining effect modification by maternal depression, we observed that an interquartile range increase in mono (2-ethlyhexyl) phthalate (MEHP), mono (2-ethyl-5-oxohexyl) phthalate (MEOHP), and mono (2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) was associated with a significant increase in newborn arousal only among those with high depressive symptoms (MEHP: β = 0.71, 95% confidence interval [CI] = 0.10, 1.32 for high, β = −0.30, 95% CI = −0.73, 0.12 for low; MEOHP: β = 0.60, 95% CI = −0.03, 1.23 for high, β = −0.12, 95% CI = −0.58, 0.33 for low; MEHHP: β = 0.54, 95% CI = −0.04, 1.11 for high, β = −0.11, 95% CI = −0.54, 0.32 for low). Similar patterns were observed in models stratified by maternal anxiety, although CIs were wide. ConclusionOur results suggest maternal anxiety and depression symptoms may exacerbate the effect of phthalates on infant neurodevelopment. Future studies are needed to determine the optimal levels of attention and arousal in early infancy.

Bulimia Nervosa and Depression, from the Brain to the Gut Microbiota and Back.

Bulimia nervosa (BN) is a condition marked by a typical cyclical behavioural activity, characterized by restrictions, binges and vomiting, as well as a disturbance of the emotional value of food. Food stimuli acquire excessive relevance, giving rise to a succession of states of excitement and anxiety. The depressive condition accompanies very often BN. Most people with BN also experience one or more anxiety disorders. The aim of the review is to identify a link at a central and peripheral level that connects an eating disorder with a mood state. Altered nervous mechanisms are involved in BN. Among the cerebral areas, the insula is functionally compromised in BN. The insula is also implicated in depressive states. The insula is the primary gustatory cortex, where gustatory sensory information such as taste discrimination and higher cognitive functions such as food anticipation and reward are processed. The insula is anatomically connected to a wide range of cortical, limbic and paralimbic structures, and functionally implicated in high-order cognition, emotional responses, and empathic processes. The insula plays a crucial role in empathy, or in the ability to share the emotional states of others, and in particular negative emotions. In fact, the insular cortex is also activated in conditions of anxiety and depression. One of the pathophysiological factors that influences bulimia and depression is the composition of gut microbiota, as there is a strong association between the microbial signature and the brain function. Gut dysbiosis condition may contribute to the development of eating disorders, including BN. Dysbiosis may promote intestinal inflammation, alter gut permeability, and trigger immune reactions in the hunger/satiety regulation center contributing to the pathophysiological development of eating disorders. From this emerges the importance of adequate probiotic integration as a preventive and/or therapeutic tool in these pathologies.