Papers by Marianthi Logotheti
Chemical Communications, 2007
Gut Microbiome-Related Diseases and Therapies, 2021
In the past few years, significant progress has been made in characterizing the function of the g... more In the past few years, significant progress has been made in characterizing the function of the gut–brain axis, i.e., the interactions between the central nervous system, the enteric nervous system, and the gastrointestinal tract. Preclinical studies described the important role of the gut microbiota in gut brain interactions Furthermore, gut microbiome has been linked to various serious mental illnesses, such as schizophrenia, bipolar disorder, anxiety disorders, depression. This chapter will describe the possible mechanisms that enhance the connection between them and the gut microbiome.
The Scientific World Journal, 2013
Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%-5% of the global popul... more Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%-5% of the global population constitute two severe mental disorders. e catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and other related psychiatric disorders. e aim of the study was to perform and interpret the results of a comparative genomic pro�ling study in schizophrenic patients as well as in healthy controls and in patients with bipolar disorder and try to relate and integrate our results with an aberrant amino acid transport through cell membranes. In particular we have focused on genes and mechanisms involved in amino acid transport through cell membranes from whole genome expression pro�ling data. �e performed bioinformatic analysis on raw data derived from four different published studies. In two studies postmortem samples from prefrontal cortices, derived from patients with bipolar disorder, schizophrenia, and control subjects, have been used. In another study we used samples from postmortem orbitofrontal cortex of bipolar subjects while the �nal study was performed based on raw data from a gene expression pro�ling dataset in the postmortem superior temporal cortex of schizophrenics. e data were downloaded from NCBI's GEO datasets.
Journal of Personalized Medicine, 2021
Asthma is a multifactorial inflammatory disorder of the respiratory system characterized by high ... more Asthma is a multifactorial inflammatory disorder of the respiratory system characterized by high diversity in clinical manifestations, underlying pathological mechanisms and response to treatment. It is generally established that human microbiota plays an essential role in shaping a healthy immune response, while its perturbation can cause chronic inflammation related to a wide range of diseases, including asthma. Systems biology approaches encompassing microbiome analysis can offer valuable platforms towards a global understanding of asthma complexity and improving patients’ classification, status monitoring and therapeutic choices. In the present review, we summarize recent studies exploring the contribution of microbiota dysbiosis to asthma pathogenesis and heterogeneity in the context of asthma phenotypes–endotypes and administered medication. We subsequently focus on emerging efforts to gain deeper insights into microbiota–host interactions driving asthma complexity by integrat...
Bipolar disorder is a complex and highly heritable psychiatric disorder characterized by severe m... more Bipolar disorder is a complex and highly heritable psychiatric disorder characterized by severe mood alterations. The precise geneticunderpinnings of the disease have not been identified so far, de ...
Bipolar disorder and schizophrenia are two severe psychiatric disorders characterized by a comple... more Bipolar disorder and schizophrenia are two severe psychiatric disorders characterized by a complex genetic basis, coupled to the influence of environmental factors. In this thesis, functional genom ...
Biometrics & Biostatistics International Journal, Sep 29, 2016
Schizophrenia (SZ) is a serious psychiatric disease, with a complex genetic basis that affects ar... more Schizophrenia (SZ) is a serious psychiatric disease, with a complex genetic basis that affects around 1% of the population worldwide. The symptoms of the disease are divided into positive, negative and cognitive symptoms. Positive symptoms include hallucinations, delusions as well as disorganised speech and behaviour. Negative symptoms include anhedonia, social withdrawal, and lack of motivation and energy. Finally, cognitive symptoms involve cognitive dysfunctions of patients suffering from SZ. Pharmacological treatment of the disease mostly deals with the positive, psychotic symptoms of the disease, but does not improve cognitive and social dysfunction. Moreover, the etiology of SZ predicates upon a combination of genetic and environmental factors, probably in early life, that affect neurogenesis and neuronal plasticity [1]. DNA microarray technologies enabling genome-wide gene expression profiling have been intensely exploited in the last decade, in order to promote the elucidation of the underlying biological mechanisms of SZ [2-5]. These studies, through the high dimensional data that they yield, can prove to be very useful for the generation of diagnostic biomarker signatures in the management of SZ. The usefulness of these data is based on the fact that they may reveal several genes that act synergistically. Probably, the genes that present these synergistic effects with other genes cannot be associated with SZ on their own. The importance of the development of classification models in SZ is great as, at the moment, the diagnosis of the disease is based exclusively on the evaluation of the clinical symptoms after they have manifested. Despite much research effort, some of the most crucial questions regarding SZ have not been answered. The heterogeneity and the multi-factorial background of SZ suggest the study of this disease through statistical methods for the identification of patterns in the data. Differentially expressed genes occurring from microarray experiments can be utilized as classifying biomarkers gain and can reveal underlying genetic factors in relation to important psychiatric diseases, such as SZ [6].
Journal of Neuropsychopharmacology & Mental Health, 2016
Access to the published version may require subscription. N.B. When citing this work, cite the or... more Access to the published version may require subscription. N.B. When citing this work, cite the original published paper.
EMBO molecular medicine, Mar 8, 2018
Proteostasis imbalance is emerging as a major hallmark of cancer, driving tumor aggressiveness. E... more Proteostasis imbalance is emerging as a major hallmark of cancer, driving tumor aggressiveness. Evidence suggests that the endoplasmic reticulum (ER), a major site for protein folding and quality control, plays a critical role in cancer development. This concept is valid in glioblastoma multiform (GBM), the most lethal primary brain cancer with no effective treatment. We previously demonstrated that the ER stress sensor IRE1α (referred to as IRE1) contributes to GBM progression, through XBP1 mRNA splicing and regulated IRE1-dependent decay (RIDD) of RNA Here, we first demonstrated IRE1 signaling significance to human GBM and defined specific IRE1-dependent gene expression signatures that were confronted to human GBM transcriptomes. This approach allowed us to demonstrate the antagonistic roles of XBP1 mRNA splicing and RIDD on tumor outcomes, mainly through selective remodeling of the tumor stroma. This study provides the first demonstration of a dual role of IRE1 downstream signali...
AIMS Bioengineering, 2016
Gene expression profiles of non-neural tissues through microarray technology could be used in sch... more Gene expression profiles of non-neural tissues through microarray technology could be used in schizophrenia studies, adding more information to the results from similar studies on postmortem brain tissue. The ultimate goal of such studies is to develop accessible biomarkers. Supervised machine learning methodologies were used, in order to examine if the gene expression from skin fibroblast cells could be exploited for the classification of schizophrenic subjects. A dataset of skin fibroblasts gene expression of schizophrenia patients was obtained from Gene Expression Omnibus database. After applying statistical criteria, we concluded to genes that present a differential expression between the schizophrenic patients and the healthy controls. Based on those genes, functional profiling was performed with the BioInfoMiner web tool. After the statistical analysis, 63 genes were identified as differentially expressed. The functional profiling revealed interesting terms and pathways, such as mitogen activated protein kinase and cyclic adenosine monophosphate signaling pathways, as well as immune-related mechanisms. A subset of 16 differentially expressed genes from fibroblast gene expression profiling that occurred after Support Vector Machines Recursive Feature Elimination could efficiently separate schizophrenic from healthy controls subjects. These findings suggest that through the analysis of fibroblast based gene 553 AIMS Bioengineering Volume 3, Issue 4, 552-565. expression signature and with the application of machine learning methodologies we might conclude to a diagnostic classification model in schizophrenia.
The Scientific World Journal, 2013
Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%-5% of the global popul... more Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%-5% of the global population constitute two severe mental disorders. e catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and other related psychiatric disorders. e aim of the study was to perform and interpret the results of a comparative genomic pro�ling study in schizophrenic patients as well as in healthy controls and in patients with bipolar disorder and try to relate and integrate our results with an aberrant amino acid transport through cell membranes. In particular we have focused on genes and mechanisms involved in amino acid transport through cell membranes from whole genome expression pro�ling data. �e performed bioinformatic analysis on raw data derived from four different published studies. In two studies postmortem samples from prefrontal cortices, derived from patients with bipolar disorder, schizophrenia, and control subjects, have been used. In another study we used samples from postmortem orbitofrontal cortex of bipolar subjects while the �nal study was performed based on raw data from a gene expression pro�ling dataset in the postmortem superior temporal cortex of schizophrenics. e data were downloaded from NCBI's GEO datasets.
The Scientific World Journal, 2013
Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%-5% of the global popul... more Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%-5% of the global population constitute two severe mental disorders. e catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and other related psychiatric disorders. e aim of the study was to perform and interpret the results of a comparative genomic pro�ling study in schizophrenic patients as well as in healthy controls and in patients with bipolar disorder and try to relate and integrate our results with an aberrant amino acid transport through cell membranes. In particular we have focused on genes and mechanisms involved in amino acid transport through cell membranes from whole genome expression pro�ling data. �e performed bioinformatic analysis on raw data derived from four different published studies. In two studies postmortem samples from prefrontal cortices, derived from patients with bipolar disorder, schizophrenia, and control subjects, have been used. In another study we used samples from postmortem orbitofrontal cortex of bipolar subjects while the �nal study was performed based on raw data from a gene expression pro�ling dataset in the postmortem superior temporal cortex of schizophrenics. e data were downloaded from NCBI's GEO datasets.
Uploads
Papers by Marianthi Logotheti