Biomarkers Of Depression Research Articles

Depressive Symptoms are Associated With C-Reactive Protein in Older Adults With Obesity.

To test the hypothesis that depressive symptoms vary with high-sensitivity C-reactive protein (hs-CRP), among older adults with obesity. This was a cross-sectional, secondary analysis of baseline data from two related lifestyle intervention trials. The study sample comprises 148 consecutively recruited, community-dwelling older adults (age >=65years) without severe psychiatric illness and with body mass index >=30kg/m2. Logarithmically transformed GDS was analyzed as the dependent variable. Independent variables included log-transformed hs-CRP and covariates: sex, age, and concurrent use of antidepressant medication at baseline. An additional analysis was performed using binary conversion of the GDS scores, wherein a cutoff score of 5 was considered positive for depressive symptoms. Sample mean GDS score was 2.7 (SD 3.0, range 0 - 14). A significant multivariate model of GDS scores (R2 = .089, F = 3.5, P = .010) revealed log-transformed hs-CRP (P = .017) and male sex (P = .012) as associated with depressive symptoms. Supplemental analysis demonstrated associations between depressive symptoms and log-transformed hs-CRP (OR 2.17, P = .001) and between depressive symptoms and male sex (OR 3.78, P = .013). Univariate logistic regression found hs-CRP to be associated with depressive symptoms. In older adults with obese BMI, male sex and higher hs-CRP are associated with depression, even in a group with relatively minimal depressive symptoms. Hs-CRP may offer clinical utility as a biomarker for depression among older adults with obese BMI, even among those with non-severe psychiatric symptomatology.

Diagnostic value of niacin skin blunting response in adolescent patients with depression

ObjectiveTo investigate the differences in the niacin skin flushing response of adolescent depressed patients and healthy adolescents and its diagnostic value in adolescent depression.MethodsThirty-eight cases of acute episodes of depression in unmedicated adolescents and 47 age- and sex-matched healthy controls were included as study subjects, and sociodemographic and clinical data were collected, all of which were stimulated with six concentration gradients (up to 60 mmol/L, followed by sequential 3-fold gradient dilution to a minimum of 0.25 mmol/L) of niacin solution on the forearm skin, and the skin flushing area was applied as an assessment index.ResultsThe total area of redness of the skin in response to niacin was significantly lower in the adolescent depression group than in the healthy adolescent group (Z=-3.36, p = 0.001) and was able to distinguish the adolescent depression group from the healthy adolescent group (area under curve = 0.713, sensitivity 51.1%, specificity 83.2%).ConclusionsNiacin sensitivity is reduced in adolescent depressed patients, and the niacin skin flush response has potential clinical value as a diagnostic biomarker for adolescent depression.

Gamma oscillations in the mPFC: A potential predictive biomarker of depression and antidepressant effects

Gamma oscillations have attracted much attention in the field of mood disorders, but their role in depression remains poorly understood. This study aimed to investigate whether gamma oscillations in the medial prefrontal cortex (mPFC) could serve as a predictive biomarker of depression. Chronic restraint stress (CRS) or lipopolysaccharide (LPS) were used to induce depression-like behaviors in mice; local field potentials (LFPs) in the mPFC were recorded by electrophysiological techniques; We found that both CRS and LPS induced significant depression-like behaviors in mice, including increasing immobility durations in the forced swimming test (FST) and tail suspension test (TST) and increasing the latency to feed in the novelty-suppressed feeding test (NSFT). Electrophysiological results suggested that CRS and LPS significantly reduced low and high gamma oscillations in the mPFC. Furthermore, a single injection of ketamine or scopolamine for 24 h significantly increased gamma oscillations and elicited rapid-acting antidepressant-like effects. In addition, fluoxetine treatment for 21 days significantly increased gamma oscillations and elicited antidepressant-like effects. Taken together, our findings suggest that gamma oscillations are strongly associated with depression, yielding new insights into investigating the predictive biomarkers of depression and the time course of antidepressant effects.

Plasma neurofilament light chain in association to late-life depression in the general population.

Investigating what is underlying late-life depression is becoming increasingly important with the rapidly growing elderly population. Yet, the associations between plasma biomarkers of neuroaxonal damage and late-life depression remain largely unclear. Therefore, we determined cross-sectional and longitudinal associations of neurofilament light chain (NfL) with depression in middle-aged and elderly individuals, and total tau, β-amyloid 40 and 42 for comparison. We included 3,895 participants (71.78 years [SD = 7.37], 53.4% women) from the population-based Rotterdam Study. Between 2002 and 2005, NfL, total tau, β-amyloid 40 and β-amyloid 42 were determined in blood and depressive symptoms were measured with the Center for Epidemiologic Studies Depression scale (CES-D). Incident depressive events (clinically relevant depressive symptoms, depressive syndromes, major depressive disorders) were measured prospectively with the Center for Epidemiologic Studies Depression, a clinical interview and follow-up of medical records over a median follow-up of 7.0 years (interquartile range 1.80). We used linear and Cox proportional hazard regression models. Each log2 pg./mL increase in NfL was cross-sectionally associated with more depressive symptoms (adjusted mean difference: 0.32, 95% CI 0.05-0.58), as well as with an increased risk of any incident depressive event over time (hazard ratio: 1.22, 95% CI 1.01-1.47). Further, more amyloid-β 40 was cross-sectionally associated with more depressive symptoms (adjusted mean difference: 0.70, 95% CI 0.15-1.25). Higher levels of NfL are cross-sectionally associated with more depressive symptoms and a higher risk of incident depressive events longitudinally. The association was stronger for NfL compared to other plasma biomarkers, suggesting a potential role of neuroaxonal damage in developing late-life depression.

Wearable Electrochemical Microneedle Sensors Based on the Graphene-Silver-Chitosan Nanocomposite for Real-Time Continuous Monitoring of the Depression Biomarker Serotonin

Wearable Electrochemical Microneedle Sensors Based on the Graphene-Silver-Chitosan Nanocomposite for Real-Time Continuous Monitoring of the Depression Biomarker Serotonin

Zero-shot personalization of speech foundation models for depressed mood monitoring

The monitoring of depressed mood plays an important role as a diagnostic tool in psychotherapy. An automated analysis of speech can provide a non-invasive measurement of a patient's affective state. While speech has been shown to be a useful biomarker for depression, existing approaches mostly build population-level models that aim to predict each individual's diagnosis as a (mostly) static property. Because of inter-individual differences in symptomatology and mood regulation behaviors, these approaches are ill-suited to detect smaller temporal variations in depressed mood. We address this issue by introducing a zero-shot personalization of large speech foundation models. Compared with other personalization strategies, our work does not require labeled speech samples for enrollment. Instead, the approach makes use of adapters conditioned on subject-specific metadata. On a longitudinal dataset, we show that the method improves performance compared with a set of suitable baselines. Finally, applying our personalization strategy improves individual-level fairness.

Major depressive disorder: Brain signals as biomarkers for depression

Major depressive disorder: Brain signals as biomarkers for depression Tiago Costa from Delft University of Technology explores the potential of neuroimaging techniques, specifically non-invasive electroencephalography (EEG), in detecting biomarkers for depression. Major Depressive Disorder (MDD) is a prevalent and complex mental disorder posing significant challenges to both individuals and societies worldwide. An early and accurate diagnosis of depression is essential for effective treatment and management. In recent years, advancements in neuroimaging techniques have opened new avenues for identifying biomarkers that could aid in the diagnosis and understanding of depression. Among these techniques, non-invasive electroencephalography (EEG) has gained attention in the last decade for its potential to detect depression biomarkers. While there is significant heterogeneity in terms of methodologies, sample sizes, and research objectives, several consistent patterns and findings emerge.

Ruthenium-Anchored Carbon Sphere-Customized Sensor for the Selective Amperometric Detection of Melatonin.

Melatonin (MT), a pineal gland hormone, regulates the sleep/wake cycle and is a potential biomarker for neurodegenerative disorders, depression, hypertension, and several cancers, including prostate cancer and hepatocarcinoma. The amperometric detection of MT was achieved using a sensor customized with ruthenium-incorporated carbon spheres (Ru-CS), possessing C- and O-rich catalytically active Ru surfaces. The non-covalent interactions and ion-molecule adducts between Ru and CS favor the formation of heterojunctions at the sensor-analyte interface, thus accelerating the reactions towards MT. The Ru-CS/Screen-printed carbon electrode (SPCE) sensor demonstrated the outstanding electrocatalytic oxidation of MT owing to its high surface area and heterogeneous rate constants and afforded a lower detection limit (0.27 μM), high sensitivity (0.85 μA μM -1 cm-2), and excellent selectivity for MT with the co-existence of crucial neurotransmitters, including norepinephrine, epinephrine, dopamine, and serotonin. High concentrations of active biomolecules, such as ascorbic acid and tyrosine, did not interfere with MT detection. The practical feasibility of the sensor for MT detection in pharmaceutical samples was demonstrated, comparable to the data provided on the product labels. The developed amperometric sensor is highly suitable for the quality control of medicines because of its low cost, simplicity, small sample size, speed of analysis, and potential for automation.

Biomarkers of Postpartum Depression: A Narrative Review.

Postpartum depression (PPD) is a disorder that impairs the formation of the relationship between mother and child, and reduces the quality of life for affected women to a functionally significant degree. Studying markers associated with PPD can help in early detection, prevention, or monitoring treatment. The purpose of this paper is to review biomarkers linked to PPD and to present selected theories on the pathogenesis of the disease based on data from biomarker studies. The complex etiology of the disorder reduces the specificity and sensitivity of markers, but they remain a valuable source of information to help clinicians. The biggest challenge of the future will be to translate high-tech methods for detecting markers associated with postpartum depression into more readily available and less costly ones. Population-based studies are needed to test the utility of potential PPD markers.

γ-Aminobutyric acids (GABA) and serum GABA/AABA (G/A) ratio as potential biomarkers of physical performance and aging

Declining physical performance with age and disease is an important indicator of declining health. Biomarkers that identify declining physical performance would be useful in predicting treatment outcomes and identifying potential therapeutics. γ-aminobutyric acid (GABA), a muscle autocrine factor, is a potent inhibitor of muscle function and works as a muscle relaxant. L-α-aminobutyric acid (L-AABA) is a biomarker for malnutrition, liver damage, and depression. We sought to determine if GABA and L-AABA may be useful for predicting physical performance. Serum levels of GABA and L-AABA were quantified in 120 individuals divided by age, sex, and physical capacity into low, average, and high performer groups. Analyses explored correlations between serum levels and physical performance. Both GABA and the ratio of GABA/AABA (G/A), but not AABA, were highly positively associated with age (Pearson correlations r = 0.35, p = 0.0001 for GABA, r = 0.31, p = 0.0007 for G/A, n = 120). GABA showed negative associations in the whole cohort with physical performance [fast gait speed, 6 min walk test (6MWT), PROMIS score, and SF36PFS raw score] and with subtotal and femoral neck bone mineral density. L-AABA was positively associated with usual gait speed, 6MWT, total SPPB score, and SF36PFS raw score in the total cohort of 120 human subjects, also with 6MWT and SF36PFS raw score in the 60 male subjects, but no associations were observed in the 60 females. As both GABA and L-AABA appear to be indicative of physical performance, but in opposite directions, we examined the G/A ratio. Unlike GABA, the G/A ratio showed a more distinct association with mobility tests such as total SPPB score, usual and fast gait speed, 6MWT, and SF36PFS raw score in the males, regardless of age and metabolic status. Serum G/A ratio could be potentially linked to physical performance in the male population. Our findings strongly suggest that GABA, L-AABA, and the G/A ratio in human serum may be useful markers for both age and physical function. These new biomarkers may significantly enhance the goal of identifying universal biomarkers to accurately predict physical performance and the beneficial effects of exercise training for older adults.

The Role of Brain-Derived Neurotrophic Factor (BDNF) in Depression and Cardiovascular Disease: A Systematic Review.

Several studies have been conducted to prove the bidirectional relationship between cardiovascular disease (CVD) and depression. These two major illnesses share several common risk factors such that the development of either condition may increase the risk of the occurrence of the other. Brain-derived neurotrophic factor (BDNF) has been suggested as a reliable biomarker for depression and a strong predictor of CVD because it plays an important role in neuron survival and growth, serves as a neurotransmitter modulator, and promotes neuronal plasticity. The aim of this systematic review was to examine the bidirectional relationship between CVD and depression, focusing on the potential role of low serum BDNF levels in the development of either disease in the presence of the other. A systematic search strategy was developed using PRISMA guidelines. Six studies (comprising 1251 patients) were identified, all of which examined the association between CVD and depression. It was found that there may be a strong association between low serum BDNF levels and the risk of post-stroke depression. However, the studies on the role of altered serum BDNF levels and other types of CVD are few. Therefore, the inverse association between depression and CVD cannot be proven.

Comparative Study of Heart Rate Variability in Patients with Major Depressive Disorder and Normal Subjects

Introduction: Major Depressive Disorder is a mood disorder diagnosed on the basis of DSM-5 criteria. Cardiovascular disorders are among the most common causes of deaths worldwide, accounting for about one-third of the mortality in both genders. Cardiac illnesses seem to have a bidirectional relationship with depression. Altered cardiac autonomic tone remains one of the most plausible explanations, which also appears to be a central biological substrate linking depression to a number of concurrent physical (e.g., cardiovascular) dysfunctions. Heart Rate Variability has become the conventionally accepted term to describe variations of both instantaneous heart rate and RR intervals (measured in ms) obtained from ECG or plethysmogram. Material and Method: This study was a prospective observational study involved 150 individuals divided into two groups. Group A – Patients having first episode major depression or new recurrent depressive episode recruited from psychiatric OPD (n=75), Group B– Age, Sex, Height and Weight matched healthy controls (n=75). Results: In our study, among the time domain indices, Mean heart rate was increased in MDD patients in comparison to healthy controls and the difference was statistically significant. Root mean square of successive differences was reduced in MDD patients in comparison to healthy controls and the difference was statistically significant. Standard deviation of NN intervals and percentage of NN intervals differing by >50 ms also showed reduction in depressed patients than controls, but the difference was not statistically significant. The frequency domain indices Total power, very low frequency, High frequency were reduced in MDD patients in comparison to healthy controls and the difference was statistically significant. Low Frequency and Low Frequency / High Frequency ratio were increased in patients of MDD in comparison to healthy controls and the difference was statistically significant. Conclusion: From our study we can conclude that HRV is reduced in MDD patients. We suggest that HRV parameters can be used as diagnostic or predictive biomarkers of depression. Keywords: Major Depressive Disorder (MDD), cardiovascular disease (CVD), Heart Rate Variability (HRV), Time Domain Indices, Frequency Domain Indices.

Potential CSF biomarkers of postpartum depression following delivery via caesarian section

BackgroundPostpartum depression (PPD), the depressive episodes following delivery, is a serious and frequent psychiatric disorder. While numerous screening tools existed for depressive episodes, e.g., the Edinburgh Postnatal Depression Scale (EPDS), there are no objective biological measures for predicting PPD. Despite several studies done to identify biomarkers in PPD, there has been limited exploration into cerebrospinal fluid (CSF) which directly interfaces with the brain. Consequently, novel potential biomarkers of CSF are required to predict PPD, so as to target specific preventive interventions. MethodsSeventy-five parturients undergoing caesarean delivery were enrolled for CSF collection at delivery. Of the twenty-eight subjects who didn't meet any exclusion criteria, the number of the healthy parturients whose score of EPDS 6-weeks postpartum (6-wpp) < 5 and PPD patients whose EPDS 6-wpp ≥ 13 was ten respectively. Gas chromatography–mass spectrometry (GC–MS) analysis of CSF was used for metabolomic assessments. ResultsWe found that capric acid, dodecanoic acid, arachidic acid and behenic acid in CSF were significantly negatively correlated with PPD symptoms, meanwhile L-tryptophan had an obvious positive correlation. Moreover, these five biomarkers can be used as effective predictive biomarkers for PPD. LimitationsThe main limitations are the inclusion of only parturients who underwent caesarean sections and a small sample size. ConclusionsThis study innovatively investigated potential predictive biomarkers of PPD before the onset through intrapartum maternal CSF metabolomics, which offered a more objective approach to predict and diagnose PPD, leading to help identify high-risk parturients for early initiation of secondary prevention to reduce global PPD burden.

Serum Extracellular Vesicle-Derived hsa-miR-2277-3p and hsa-miR-6813-3p Are Potential Biomarkers for Major Depression: A Preliminary Study.

The aim of the present study was to examine the association between miRNA levels in extracellular vesicles (EVs) from serum and the severity of Major Depression (MD). Patient sera from 16 MD cases were collected at our university hospital. The miRNAs contained in EVs were extracted using a nanofiltration method, and their expression levels were analyzed using miRNA microarrays. Intergroup comparisons were performed to validate the diagnostic performance of miRNAs in EVs. Furthermore, candidate miRNAs in EVs were added to neural progenitor cells, astrocytes, and microglial cells in vitro, and the predicted target genes of the candidate miRNAs were extracted. The predicted target genes underwent enrichment analysis. The expression levels of hsa-miR-6813-3p and hsa-miR-2277-3p were significantly downregulated with increasing depression severity of MD. The pathway enrichment analysis suggests that hsa-miR-6813-3p may be involved in glucocorticoid receptor and gamma-aminobutyric acid receptor signaling. Additionally, hsa-miR-2277-3p was found to be involved in the dopaminergic neural pathway. The analysis of serum miRNAs in EVs suggests that hsa-miR-6813-3p and hsa-miR-2277-3p could serve as novel biomarkers for MD, reflecting its severity. Moreover, these miRNAs in EVs could help understand MD pathophysiology.

Brainwave activities reflecting depressed mood: a pilot study

Early diagnosis and treatment of depression are desirable but currently difficult due to a lack of established biomarkers. Although biomarkers for depression based on electroencephalogram (EEG) data have long been explored, most existing methods are thought to capture cognitive decline caused by depression and are unsuccessful in detecting signs of depression. Here we report that some brainwave activities involving phase resetting reflect the depressed mood at the time, which can be easily monitored by measuring the resting EEG with eyes closed for 1 min with a few electrodes. We instructed 10 participants (nine healthy and one diagnosed with depression, aged 18–34) to record their EEG for 14–26 days. We found that indicators of depressed mood were correlated with the occurrence frequency of EEG phase resetting. For most participants, the correlation coefficients swung systematically between large positive and large negative values with respect to EEG frequency; however, the frequencies at which they were maximum or minimum differed among participants. Although this study is in the pilot phase and needs further experimentation, the results are expected to lead to innovative biomarkers for early detection of depression and may contribute to a better understanding and treatment of depression.

The needle in the haystack: Identifying and validating common genes of depression, insomnia, and inflammation

BackgroundInsomnia, inflammation, and depression are often co-occurring conditions. The mechanisms underlying these conditions remain unclear. Materials and methodsWe collected microarray datasets of depression and insomnia from GEO and analyzed them for differentially expressed genes (DEGs). We then overlapped the DEGs with a list of inflammatory response-related genes to identify genes associated with all three conditions. We next performed analyses of enrichment analyses, KEGG mapping, and protein-protein interaction to identify hub genes. Furthermore, we established a depression rat model with inflammation and insomnia to validate the potential genes. At last, a two-sample Mendelian randomization (MR) study was conducted to confirm the association of identified target genes with depression outcomes. ResultsWe obtained 32 common DEGs associated with the depression, insomnia and inflammatory, and found that the PI3K-AKT signaling pathway might be involved in the inflammatory response in insomnia and depression. CREB1, CYBB, FYN, and CCR5 were identified as targets for the next validation. In model rats, the CCR5 and PI3K-AKT pathways were significantly up-regulated, while the model group exhibited significantly lower hippocampal p-CREB protein expression. The MR study suggested a potential causal relationship between CREB1 and the risk of depression (OR = 1.11, p = 0.013). LimitationsThe identified potential genes and pathways require further laboratory and clinical evidence verification. ConclusionWe identified four potential inflammatory related-genes (CREB1, CYBB, FYN, and CCR5). CREB1 may be a potential inflammatory response-related biomarker and drug target for depression and insomnia, as validated by the followed rat model and MR study.

C-reactive protein as a biomarker for unipolar versus bipolar depression: a cross-sectional study

BackgroundDifferentiating unipolar depression from bipolar depression is clinically important. The identification of biomarkers that characterize the pathophysiology of each disorder may provide biological targets for treatment. The objective of the study was to demonstrate a relationship between CRP level and the severity of depressive symptoms and see if C-reactive protein (CRP) levels can be used as a biomarker to distinguish between unipolar and bipolar depression. A convenience sample of 90 individuals was consecutively recruited from the psychiatry outpatient clinic at Beni-Suef University Hospital, Egypt. They were divided into three equal groups: patients with major depressive disorder (MDD) (group 1), bipolar depression (group 2), and a healthy volunteer group (group 3). Patient groups were assessed using semi-structured interviews, and CRP levels were measured.ResultsPatients with bipolar depression and MDD showed a significantly higher score on the Beck Depression Inventory scale than the control group (32.97 ± 2.4 vs. 31.93 ± 2.3 vs. 8.00 ± 2.3 in all groups respectively) (P-value < 0.001). Patients with bipolar depression and MDD showed a significantly higher serum CRP level than the control group (134.96 ± 16.45 vs. 133.86 ± 17.59 vs.56.04 ± 26.71 vs. in all groups respectively) (P-value < 0.001). In all studied groups, elevated plasma CRP levels have a significant linear correlation with the severity of depression as measured by the Beck Depression Inventory (BDI) (r = 0.887, P-value < 0.001).ConclusionsSerum CRP levels are significantly higher in MDD and BD patients when compared to controls. Individuals with higher CRP levels had more severe depression, and this finding was significantly higher in women than in men.

Irisin, adropin, and preptin as biomarkers of energy dysregulation in depressive disorder

Objective Lack of energy, fatigue, debility are often seen in depression and hardly respond to treatment. Finding some biomarkers for these symptoms may be important for diagnosis and treatment. We aimed to investigate the possible relationship between depression and energy-related molecules irisin, adropin and preptin. Methods There were 117 patients with depression and 59 healthy volunteers included in the study. Sociodemographic characteristics and clinical features of groups were evaluated, and depressed patients were divided into subtypes, then irisin, adropin, preptin levels were compared between depressive patients and healthy controls and between subtypes. Depression severity, quality of life, functionality and the relations with irisin, adropin and preptin levels and associations between depression subtypes were evaluated. Results Irisin, adropin, and preptin levels were lower in depression, positively correlated with quality of life, and negatively correlated with depression severity and functional impairment. Depression subtypes showed no difference in irisin, adropin and preptin levels. Conclusions We found decreased serum irisin, adropin and preptin levels in depression. Our results may support investigation of irisin, adropin and preptin as biomarkers for depression but it might be more meaningful to evaluate these biomarkers in a long-term follow-up.

Identification of blood modular genome-wide gene expression biomarkers of cardiovascular health and depression in the young finns study

Identification of blood modular genome-wide gene expression biomarkers of cardiovascular health and depression in the young finns study

Combining inflammatory miRNA molecules as diagnostic biomarkers for depression: a clinical study.

Inflammation has been implicated in core features of depression pathophysiology and treatment resistance. Therefore, new challenges in the discovery of inflammatory mediators implicated in depression have emerged. MicroRNAs (miRNAs) have been found aberrantly expressed in several pathologies, increasing their potential as biomarkers and therapeutical targets. In this study, the aim was to assess the changes and biomarker potential of inflammation-related miRNAs in depression patients. Depression diagnosis was performed according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). 40 healthy controls and 32 depression patients were included in the study. The levels of inflammatory cytokines were measured in plasma, and expression levels of cytokines and inflammation-related miRNAs were evaluated in peripheral blood mononuclear cells (PBMCs). Depression patients were found to have a pro-inflammatory profile in plasma, with significantly higher levels of TNF-α and CCL2 compared with controls. In PBMCs of depression patients, TNF-α and IL-6 expression levels were significantly up and downregulated, respectively. Moreover, miR-342 levels were found upregulated, while miR-146a and miR-155 were significantly downregulated. miR-342 expression levels were positively correlated with TNF-α. Importantly, when analyzed as a diagnostic panel, receiver operating characteristics (ROC) analysis of miR-342, miR-146a, miR-155 in combination, showed to be highly specific and sensitive in distinguishing between depression patients and healthy controls. In summary, these findings suggest that inflammation-related miRNAs are aberrantly expressed in depression patients. Moreover, we show evidences on the potential of the combination of dysregulated miRNAs as a powerful diagnostic tool for depression.