The Institutional Review Board Statement and Informed Consent Statement sections in the original publication [...]

Type 1 Diabetes (T1D) is a chronic autoimmune disorder causing dys-glycaemia. Technological advancements, such as continuous glucose sensors and closed-loop insulin delivery systems, are potential solutions to more efficient disease management. Hyperglycaemia contributes to the development of long-term micro-or macro-vascular complications; on the other hand, hypoglycaemia remains an acute and potentially life-threatening challenge impacting the quality of life for individuals with T1D. This study is a prodromal analysis of how specific genetic variants related to hypoglycaemia can be introduced to short-term predictive modelling methods of subcutaneous glucose concentration prediction in people with T1D, aiming at improving prediction errors, especially, in hypoglycaemic regions. We employed a K-mode-based clustering of study participants based on their genetic data and we developed separate population-based univariate long short-term memory (LSTM) models per cluster. Cluster-wise population models, developed and tested on a dataset of 47 T1D patients, exhibited a MAPE of 11.6%, 12.8% and 12.0% on the 3 identified clusters, respectively, for a prediction horizon of 30 min. Cluster-wise predictions outperformed global population models for the case of Group 0 which possess an increased percentage of very low (<54 mg/dL) and very high (>250 mg/dL) glucose values. This finding shows that incorporating genetic data into the pipeline of population-based glucose predictive modelling in T1D can improve the prediction error.

Retrotransposable elements are implicated in genome rearrangements and gene expression alterations that result in various human disorders. In the current study, we sought to investigate the potential effects of long interspersed elements-1 (LINE-1) overexpression on the integrity and methylation of DNA and on the expression of three major pluripotency factors (OCT4, SOX2, NANOG) during the preimplantation stages of human embryo development. Human MI oocytes were matured in vitro to MII and transfected through intracytoplasmic sperm injection (ICSI) either with an EGFP vector carrying a cloned active human LINE-1 retroelement or with the same EGFP vector without insert as control. The occurrence of retrotransposition events was screened by fluorescent microscopy. The in vitro preimplantation development as well as the methylation, pluripotency, and DNA double-strand breaks (DSBs) of the transfected embryos were examined. LINE-1 retrotransposons gave rise to new retrotransposition events in the transfected embryos. LINE-1 injected embryos were characterized by accelerated asymmetrical cell division, multiple cellular fragments, cleavage arrest, and degeneration. Early OCT4 expression remained unaltered, but cleavage arrest and a high fragmentation rate hindered the expression of SOX2/NANOG at the morula stage. Increased DNA DSBs were observed in cleavage-stage blastomeres, while no methylation changes were detected before the cleavage arrest. Our data provide evidence that LINE-1 retrotransposition in human preimplantation embryos may induce DNA DSBs, while at the same time, it appears to interfere with the expression patterns of pluripotency factors. The morphological, structural, and cleavage abnormalities of the transfected embryos show that aberrant retroelement expression may negatively affect human embryo development.

In early 2020, Greece was affected by the SARS-CoV-2 epidemic, and since then, the continuous emergence of fast-spreading variants has caused surges of new SARS-CoV-2 infections. In this study, we performed genomic, phylogenetic, and epidemiological analyses to investigate the SARS-CoV-2 epidemic in northwestern Greece. From March 2020 to February 2022, nasopharyngeal samples obtained from patients suspected to have COVID-19 were tested for SARS-CoV-2 detection. Complete SARS-CoV-2 genomic sequences were generated from selected positive samples. Northwestern Greece experienced four distinct waves of the epidemic following the first wave, which was mainly observed in Attica and other parts of Greece. The positivity index was rising throughout the pandemic waves in several geographical units, with the highest levels recorded in prominent tourist destinations characterized by high agricultural density. The phylogenetic analyses revealed 34 different lineages, with B.1, B.1.1, B.1.1.305, B.1.1.318, B.1.177, B.1.1.7, B.1.617.2, AY.43, and BA.1 being the most prevalent lineages in the region. Although multiple lineages were co-circulating, each pandemic wave was dominated by a different lineage. The SARS-CoV-2 epidemic in northwestern Greece was characterized by the successive introduction of new lineages, resulting in surges of new SARS-CoV-2 infections.

Prior research has substantiated the vital role of telomeres in human fertility. Telomeres are prerequisites for maintaining the integrity of chromosomes by preventing the loss of genetic material following replication events. Little is known about the association between sperm telomere length and mitochondrial capacity involving its structure and functions. Mitochondria are structurally and functionally distinct organelles that are located on the spermatozoon's midpiece. Mitochondria produce adenosine triphosphate (ATP) through oxidative phosphorylation (OXPHOS), which is necessary for sperm motility and generate reactive oxygen species (ROS). While a moderate concentration of ROS is critical for egg—sperm fusion, and fertilization, excessive ROS generation is primarily related to telomere shortening, sperm DNA fragmentation, and alterations in the methylation pattern leading to male infertility. This review aims to highlight the functional connection between mitochondria biogenesis and telomere length in male infertility, as mitochondrial lesions have a damaging impact on telomere length, leading both to telomere lengthening and reprogramming of mitochondrial biosynthesis. Furthermore, it aims to shed light on how both inositol and antioxidants can positively affect male fertility.

Several SARS-CoV-2 variants have emerged and early detection for monitoring their prevalence is crucial. Many identification strategies have been implemented in cases where sequencing data for confirmation is pending or not available. The presence of B.1.1.318 among prevalent variants was indicated by an unusual amplification pattern in various RT-qPCR commercial assays. Positive samples for SARS-CoV-2, as determined using the Allplex SARS-CoV-2 Assay, the Viasure SARS-CoV-2 Real Time Detection Kit and the GeneFinder COVID-19 Plus RealAmp Kit, presented a delay or failure in the amplification of the N gene, which was further investigated. Whole-genome sequencing was used for variant characterization. The differences between the mean Ct values for amplification of the N gene vs. other genes were calculated for each detection system and found to be at least 14 cycles. Sequencing by WGS revealed that all the N gene dropout samples contained the B.1.1.318 variant. All the isolates harbored three non-synonymous mutations in the N gene, which resulted in four amino acid changes (R203K, G204R, A208G, Met234I). Although caution should be taken when the identification of SARS-CoV-2 variants is based on viral gene amplification failure, such patterns could serve as a basis for rapid and cost-effective screening, functioning as indicators of community circulation of specific variants, requiring subsequent verification via sequencing.

The completion of the human genome sequencing in 2003 redefined the molecular basis for understanding many diseases and illnesses at the genetic level. Sequencing of the human genome has led to a radical change in genetic medicine as well as the association of genes with diseases. The application of genetic knowledge in clinical practice in the last 4 years is due to the development of next generation sequencing systems (NGS). NGS technology, also known as massive parallel sequencing, is an innovative high throughput DNA sequencing methodology. NGS technology is the new genetic “weapon” enabling the sequencing of all genes (whole exome sequencing) and the entire human genome (whole genome sequencing) in just a few days, producing huge amounts of information. NGS is rapidly gaining ground in the field of genetic diagnosis and research. It can give combined results for both small gene damage and structural abnormalities of chromosomes. Based on this technology, the goal of GeneScreening project is to create a genetic platform for the detection of pathogenic variants in the copy number variations (CNVs) of wide clinical utility and application in order to prevent and diagnose developmental disorders and mental illnesses. Sub-objectives are: (i) the mapping of repetitive sequences in which the recombination points that cause deficits and microplications are identified, (ii) the creation of biomarkers of pathogenic recombinations, (iii) creating a database of sequences involved in pathogenic recombinations and (iv) the creation of standard recombination point detection software in NGS data.

Applications and indications of assisted reproduction technology are expanding, but every new approach is under scrutiny and thorough consideration. Recently, groups of assisted reproduction experts have presented data that support the clinical use of mosaic preimplantation embryos at the blastocyst stage, previously excluded from transfer. In the light of published contemporary studies, with or without clinical outcomes, there is growing evidence that mosaic embryos have the capacity for further in utero development and live birth. Our in-depth discussion will enable readers to better comprehend current developments. This expansion into the spectrum of ART practices requires further evidence and further theoretical documentation, basic research, and ethical support. Therefore, if strict criteria for selecting competent mosaic preimplantation embryos for further transfer, implantation, fetal growth, and healthy birth are applied, fewer embryos will be excluded, and more live births will be achieved. Our review aims to discuss the recent literature on the transfer of mosaic preimplantation embryos. It also highlights controversies as far as the clinical utilization of preimplantation embryos concerns. Finally, it provides the appropriate background to elucidate and highlight cellular and genetic aspects of this novel direction.

The detection of actionable mutations in tumor tissue is a prerequisite for treatment customization in patients with metastatic colorectal cancer (mCRC). Analysis of circulating tumor DNA (ctDNA) for the identification of such mutations in patients' plasma is an attractive alternative to invasive tissue biopsies. Despite having the high analytical sensitivity required for ctDNA analysis, digital polymerase chain reaction (dPCR) technologies can only detect a very limited number of hotspot mutations, whilst a broader mutation panel is currently needed for clinical decision making. Recent advances in next-generation sequencing (NGS) have led to high-sensitivity platforms that allow screening of multiple genes at a single assay. Our goal was to develop a small, cost- and time-effective NGS gene panel that could be easily integrated in the day-to-day clinical routine in the management of patients with mCRC. We designed a targeted panel comprising hotspots in six clinically relevant genes (KRAS, NRAS, MET, BRAF, ERBB2 and EGFR) and validated it in a total of 68 samples from 30 patients at diagnosis, first and second disease progression. Results from our NGS panel were compared against plasma testing with BEAMing dPCR regarding the RAS gene status. The overall percent of agreement was 83.6%, with a positive and negative percent agreement of 74.3% and 96.2%, respectively. Further comparison of plasma NGS with standard tissue testing used in the clinic showed an overall percent agreement of 86.7% for RAS status, with a positive and negative percent agreement of 81.2% and 92.8%, respectively. Thus, our study strongly supports the validity and efficiency of an affordable targeted NGS panel for the detection of clinically relevant mutations in patients with mCRC.

Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep Learning (DL) architectures. In this review article we focus on the ML aspect of AI applications in cancer research and present the most indicative studies with respect to the ML algorithms and data used. The PubMed and dblp databases were considered to obtain the most relevant research works of the last five years. Based on a comparison of the proposed studies and their research clinical outcomes concerning the medical ML application in cancer research, three main clinical scenarios were identified. We give an overview of the well-known DL and Reinforcement Learning (RL) methodologies, as well as their application in clinical practice, and we briefly discuss Systems Biology in cancer research. We also provide a thorough examination of the clinical scenarios with respect to disease diagnosis, patient classification and cancer prognosis and survival. The most relevant studies identified in the preceding year are presented along with their primary findings. Furthermore, we examine the effective implementation and the main points that need to be addressed in the direction of robustness, explainability and transparency of predictive models. Finally, we summarize the most recent advances in the field of AI/ML applications in cancer research and medical oncology, as well as some of the challenges and open issues that need to be addressed before data-driven models can be implemented in healthcare systems to assist physicians in their daily practice. (C) 2021 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.

Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep Learning (DL) architectures. In this review article we focus on the ML aspect of AI applications in cancer research and present the most indicative studies with respect to the ML algorithms and data used. The PubMed and dblp databases were considered to obtain the most relevant research works of the last five years. Based on a comparison of the proposed studies and their research clinical outcomes concerning the medical ML application in cancer research, three main clinical scenarios were identified. We give an overview of the well-known DL and Reinforcement Learning (RL) methodologies, as well as their application in clinical practice, and we briefly discuss Systems Biology in cancer research. We also provide a thorough examination of the clinical scenarios with respect to disease diagnosis, patient classification and cancer prognosis and survival. The most relevant studies identified in the preceding year are presented along with their primary findings. Furthermore, we examine the effective implementation and the main points that need to be addressed in the direction of robustness, explainability and transparency of predictive models. Finally, we summarize the most recent advances in the field of AI/ML applications in cancer research and medical oncology, as well as some of the challenges and open issues that need to be addressed before data-driven models can be implemented in healthcare systems to assist physicians in their daily practice.

Background/Aim: The expression of reverse transcriptase (RT) in ovaries, testes, gametes and embryos highlights its critical role in cell growth and differentiation. We sought to investigate the effects of the potent RT inhibitor lamivudine in gametogenesis and mouse embryo preimplantation development. Materials and Methods: Male and female FVB/N mice were treated with the reverse transcriptase inhibitor Lamivudine for seven consecutive weeks. Following treatment, mouse sperm parameters, testicular and ovarian morphology as well as post-IVF embryo development were evaluated. Results: Lamivudine impaired the sperm parameters and the testicular structure in male mice, the number of primordial germ cells and primary oocytes in ovaries of female mice, and the embryos' morphology and development up to the blastocyst stage during in vitro culture. Conclusion: The administration of lamivudine affected the processes of spermatogenesis and oogenesis as well as the in vitro preimplantation development of mouse embryos.

Particular Microdeletion and Microduplication Syndromes (MMS) are rare recombinations, but as a whole (cumulatively) they represent a significant group of genetic abnormalities almost equal to aneuploidies. Some of them and in particular Di George Microdeletion can be found in frequencies second only to trisomy 21. Based on our database of MMS we found that almost all MMS span in length less than 5Mbs which is the cut-off point of resolution in standard cytogenetics. Furthermore, a significant percentage of them are in length less than 0.5Mbs and all together, short and long MMS, have a high probability to harbor Holliday Junction sequence motifs and PRDM9 sequence motifs. Collectively, we propose that HJ sequence motifs and other recombination primers such as PRDM9 binding motif that exist in regions spanning MMS hotspots underlie a possible mechanism for their occurrence during probably in gametogenesis. In this context, we created the GeneScreening, a web-based system, a tool that allows for the advanced processing of user genomic data, along with visualization tools to identify and display the regions of interest regarding MMS in reference with the sequence motifs of HJs and PRDM9. This system will provide useful information for potential drug targets and new strategies for individual therapy as it serves as a prognostic tool for the MMS referenced in this paper.

Retroelements are expressed during male and female gametes differentiation and are normally regulated by the methylation machinery, chromatin modifications, non-coding RNAs and transcription factors. In this review, we discuss recent data concerning retroelement expression and retrotransposition events in mammalian gametes, as well as the importance of their impact on the preimplantation embryo development.

Retroelement transcripts are present in male and female gametes, where they are typically regulated by methylation, noncoding RNAs and transcription factors. Such transcripts are required for occurrence of retrotransposition events, while failure of retrotransposition control may exert negative effects on cellular function and proliferation. In order to investigate the occurrence of retrotransposition events in mouse epididymal spermatozoa and to address the impact of uncontrolled retroelement RNA expression in early preimplantation embryos, we performed in vitro fertilization experiments using spermatozoa preincubated with plasmid vectors containing the human retroelements LINE-1, HERVK-10 or the mouse retroelement VL30, tagged with an enhanced green fluorescence (EGFP) gene-based cassette. Retrotransposition events in mouse spermatozoa and embryos were detected using PCR, FACS analysis and confocal microscopy. Our findings show that: (i) sperm cell incorporates exogenous retroelements and favors retrotransposition events, (ii) the inhibition of spermatozoa reverse transcriptase can decrease the retrotransposition frequency in sperm cells, (iii) spermatozoa can transfer exogenous human or mouse retroelements to the oocyte during fertilization and (iv) retroelement RNA overexpression affects embryo morphology and impairs preimplantation development. These findings suggest that the integration of exogenous retroelements in the sperm genome, as well as their transfer into the mouse oocyte, could give rise to new retrotransposition events and genetic alterations in mouse spermatozoa and embryos.