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1.
Transl Psychiatry ; 14(1): 257, 2024 Jun 17.
Article in English | MEDLINE | ID: mdl-38886359

ABSTRACT

Schizophrenia (SCZ) is a chronic, severe, and complex psychiatric disorder that affects all aspects of personal functioning. While SCZ has a very strong biological component, there are still no objective diagnostic tests. Lately, special attention has been given to epigenetic biomarkers in SCZ. In this study, we introduce a three-step, automated machine learning (AutoML)-based, data-driven, biomarker discovery pipeline approach, using genome-wide DNA methylation datasets and laboratory validation, to deliver a highly performing, blood-based epigenetic biosignature of diagnostic clinical value in SCZ. Publicly available blood methylomes from SCZ patients and healthy individuals were analyzed via AutoML, to identify SCZ-specific biomarkers. The methylation of the identified genes was then analyzed by targeted qMSP assays in blood gDNA of 30 first-episode drug-naïve SCZ patients and 30 healthy controls (CTRL). Finally, AutoML was used to produce an optimized disease-specific biosignature based on patient methylation data combined with demographics. AutoML identified a SCZ-specific set of novel gene methylation biomarkers including IGF2BP1, CENPI, and PSME4. Functional analysis investigated correlations with SCZ pathology. Methylation levels of IGF2BP1 and PSME4, but not CENPI were found to differ, IGF2BP1 being higher and PSME4 lower in the SCZ group as compared to the CTRL group. Additional AutoML classification analysis of our experimental patient data led to a five-feature biosignature including all three genes, as well as age and sex, that discriminated SCZ patients from healthy individuals [AUC 0.755 (0.636, 0.862) and average precision 0.758 (0.690, 0.825)]. In conclusion, this three-step pipeline enabled the discovery of three novel genes and an epigenetic biosignature bearing potential value as promising SCZ blood-based diagnostics.


Subject(s)
Biomarkers , DNA Methylation , Epigenesis, Genetic , Machine Learning , Schizophrenia , Humans , Schizophrenia/genetics , Schizophrenia/blood , Schizophrenia/diagnosis , Female , Male , Adult , Biomarkers/blood , Young Adult , Case-Control Studies
2.
Curr Neuropharmacol ; 22(4): 749-805, 2024.
Article in English | MEDLINE | ID: mdl-37533247

ABSTRACT

Antidepressants are a commonly used, easily accessible, and overall safe treatment option for post-traumatic stress disorder (PTSD). The present review aims to evaluate the efficacy and safety of antidepressants in treating sleep disturbances in patients with PTSD. PubMed and the Cochrane Library were searched (July 2022) for systematic reviews and meta-analyses on the treatment of PTSD. Moreover, PubMed and ClinicalTrials.gov were searched for individual trials investigating the antidepressant treatment of PTSD (up to September 2022), and reference lists of all possibly relevant identified studies were screened. Sleep-related outcomes, i.e., total sleep time, sleep quality, dreams/ nightmares, insomnia, and somnolence, were extracted independently by at least two reviewers. Metaanalytic evaluations were performed wherever possible. 39 randomised controlled trials (RCTs) were identified; data from pooled analyses, reviews, and observational studies were used for antidepressants with a weak evidence base or when their findings were deemed important. Overall, scarce data exist on the effects of antidepressants on sleep outcomes among patients with PTSD. Some evidence may support the use of amitriptyline, nefazodone, paroxetine, and sertraline for improving sleep in patients with PTSD. Τhere was a meta-analytical trend indicating improvement of nightmares with fluoxetine, less insomnia with amitriptyline and more with brofaromine, as well as more somnolence with paroxetine vs. placebo, respectively. However, data from more than 1 RCT with a considerable number of patients were only available for paroxetine. Evidence is insufficient to draw safe conclusions. More and better-designed RCTs, with consistent reporting of sleep-related outcomes, are needed.


Subject(s)
Sleep Initiation and Maintenance Disorders , Stress Disorders, Post-Traumatic , Humans , Stress Disorders, Post-Traumatic/complications , Stress Disorders, Post-Traumatic/drug therapy , Paroxetine/adverse effects , Amitriptyline/therapeutic use , Sleep Initiation and Maintenance Disorders/drug therapy , Sleep Initiation and Maintenance Disorders/chemically induced , Sleepiness , Systematic Reviews as Topic , Antidepressive Agents/therapeutic use
3.
Brain Sci ; 12(7)2022 Jul 18.
Article in English | MEDLINE | ID: mdl-35884746

ABSTRACT

Major depressive disorder is a leading cause of disability worldwide and a major contributor to the overall global burden of disease. While there are several options for antidepressant treatment, only about 40-60% of patients respond to initial monotherapy, while 30-40% of patients may even show resistance to treatment. This article offers a narrative review of those studies evaluating the predictive properties of various blood-based baseline biomarkers regarding treatment responses to the pharmacological, stimulation, or behavioral treatment of patients with treatment-resistant depression (TRD). Our results show that overall, there is only a very limited number of studies assessing baseline peripheral biomarkers regarding treatment response in TRD. Although there is some evidence for the predictive significance of particular biomarkers (e.g., IL-6, CRP, BDNF), the majority of the results are either single-study reports or studies with conflicting results. This may contribute to the wide variety of treatment protocols and different TRD definition criteria, the small number of patients included, and the existence of different biological phenotypes of the disorder used within the various studies. Taken together, there does not yet appear to be any specific baseline peripheral biomarker with sufficient discriminative predictive validity that can be used in the routine clinical practice of TRD. The discovery of new biomarkers and the better clinical characterization of known biomarkers could support the better classification and staging of TRD, the development of personalized treatment algorithms with higher rates of remission and fewer side effects, and the development of new precision drugs for specific subgroups of patients.

4.
BMJ Case Rep ; 20102010.
Article in English | MEDLINE | ID: mdl-22419951

ABSTRACT

Koro syndrome is a psychiatric disorder characterised, in its typical form, by acute and intense anxiety, with complaints in men of a shrinking penis or fear of its retraction into the abdomen and resultant death. Initially, this syndrome was described as a culture specific disorder. Sporadic cases referred to as the koro-like syndrome have been observed in western countries recently. They are more likely to appear in the context of a psychiatric or neurological disorder. The clinical course of culture bound koro syndrome is usually self limited, but in some cases it can be transient or take on a chronic or recurrent form, lasting from days to weeks, months or even years. We present two cases, one of a middle aged man whose koro-like symptoms have persisted for over 18 years in a relapse mode that is rarely observed, and one of a young schizophrenic, who also exhibits koro-like symptoms.

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