Potential Use of GLP-1 and GIP/GLP-1 Receptor Agonists for Respiratory Disorders: Where Are We at?

Chronic respiratory disorders are the third leading cause of mortality globally. Consequently, there is a continuous pursuit of effective therapies beyond those currently available. The therapeutic potential of the glucagon-like peptide-1 (GLP-1) and the glucose-dependent insulinotropic polypeptide/GLP-1 (GIP/GLP-1) receptor agonists extends beyond the regulation of glycemia, including glucometabolic, cardiovascular, and renal effects, rendering them viable candidates, due to their mechanisms of action, for the possible treatment of respiratory disorders.

Diabetes: Recent Advances and Future Perspectives.

Diabetes is a chronic metabolic disorder distinguished by persistent hyperglycemia [...

Methodologies for Monitoring Mental Health on Twitter: Systematic Review.

Background: The use of social media data to predict mental health outcomes has the potential to allow for the continuous monitoring of mental health and well-being and provide timely information that can supplement traditional clinical assessments. However, it is crucial that the methodologies used to create models for this purpose are of high quality from both a mental health and machine learning perspective. Twitter has been a popular choice of social media because of the accessibility of its data, but access to big data sets is not a guarantee of robust results.

Epicosm-a framework for linking online social media in epidemiological cohorts.

Motivation: Social media represent an unrivalled opportunity for epidemiological cohorts to collect large amounts of high-resolution time course data on mental health. Equally, the high-quality data held by epidemiological cohorts could greatly benefit social media research as a source of ground truth for validating digital phenotyping algorithms. However, there is currently a lack of software for doing this in a secure and acceptable manner.

Sound-Induced Flash Illusions Support Cortex Hyperexcitability in Fibromyalgia.

Objectives: Fibromyalgia (FM) is characterized by spontaneous chronic widespread pain in combination with hyperalgesia to pressure stimuli. Sound-induced flash illusions (SIFIs) reflect cross-modal interactions between senses allowing to assess a visual cortical hoerexcitability (VCH) by evaluating the fission and fusion illusions disruption. The aims of the present study were to explore whether SIFIs are perceived differently in patients with fibromyalgia as compared to healthy controls (HCs) and how migraine affects fission and fusion illusions in fibromyalgia.

Nutrition and food literacy among young Canadian adults living with type 1 diabetes.

Aim: Nutrition and food literacy encompasses knowledge, skills and confidence to prepare healthy meals. This project aimed to assess and compare the proportion of young Canadian adults (18-29 years old) living with type 1 diabetes and without diabetes (controls) who demonstrated adequate nutritional health literacy.

Methods: This cross-sectional study involved participants completing an online survey that included questions on socio-economic status, nutrition knowledge, confidence and skills in meal preparation and the Short Food Literacy Questionnaire (SFLQ).

Data Ethics Club: Creating a collaborative space to discuss data ethics.

Awareness and management of ethical issues in data science are becoming crucial skills for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data-science work to be influenced by those with expertise in sociological fields and so improve the ability of data scientists to think critically about the ethics of their work. However, opportunities to do so are limited.

Colorectal cancer inhibition by BET inhibitor JQ1 is MYC-independent and not improved by nanoencapsulation.

Bromodomain and extraterminal domain protein inhibitors (BETi) for cancer treatment did not convince during their first clinical trials. Their epigenetic mechanism of action is still not well understood, even if MYC is generally considered as its main downstream target. In this context, we intended to assess two new nanoformulations of the BETi JQ1 for the treatment of colorectal cancer (CRC).

The impact of dual antiplatelet therapy administration on the risk of bleeding complications during coronary artery bypass surgery.

Introduction: Dual antiplatelet therapy reduces the risk of cardiovascular death, myocardial infarction and recurrence of adverse ischemic events in patients affected by acute coronary syndromes, but in patients urgently needing coronary artery surgery it can increase the risk of severe perioperative bleeding complications.

Aim: We evaluated the impact of dual antiplatelet therapy (DAPT) based on acetylsalicylic acid plus clopidogrel or ticagrelor in patients undergoing coronary artery bypass grafting (CABG).

Material And Methods: Three hundred and thirty-three patients underwent coronary artery bypass grafting with DAPT discontinuation > 72 hours or 3-4 days (group A, = 159), 48-72 hours or 2-3 days (group B, = 126), < 24 hours or 0-1 day (group C, = 24) prior to CABG.

Mapping population vulnerability and community support during COVID-19: a case study from Wales.

Background: Disasters such as the COVID-19 pandemic pose an overwhelming demand on resources that cannot always be met by official organisations. Limited resources and human response to crises can lead members of local communities to turn to one another to fulfil immediate needs. This spontaneous citizen-led response can be crucial to a community's ability to cope in a crisis.

STAT3 inhibition with galiellalactone effectively targets the prostate cancer stem-like cell population.

Cancer stem cells (CSCs) are a small subpopulation of quiescent cells with the potential to differentiate into tumor cells. CSCs are involved in tumor initiation and progression and contribute to treatment failure through their intrinsic resistance to chemo- or radiotherapy, thus representing a substantial concern for cancer treatment. Prostate CSCs' activity has been shown to be regulated by the transcription factor Signal Transducer and Activator of Transcription 3 (STAT3).

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting.

We introduce TAASRAD19, a high-resolution radar reflectivity dataset collected by the Civil Protection weather radar of the Trentino South Tyrol Region, in the Italian Alps. The dataset includes 894,916 timesteps of precipitation from more than 9 years of data, offering a novel resource to develop and benchmark analog ensemble models and machine learning solutions for precipitation nowcasting. Data are expressed as 2D images, considering the maximum reflectivity on the vertical section at 5 min sampling rate, covering an area of 240 km of diameter at 500 m horizontal resolution.

Autophagy inhibition as a promising therapeutic target for laryngeal cancer.

To identify the putative relevance of autophagy in laryngeal cancer, we performed an immunohistochemistry study to analyze the expression of the proteins involved in this process, namely, LC3, ATG5 and p62/SQSTM1. Additionally, Prostate tumor-overexpressed gene 1 protein (PTOV1) was included due to its potential relevance in laryngeal cancer. Moreover, as cancer resistance might involve autophagy in some circumstances, we studied the intrinsic drug resistance capacity of primary tumor cultures derived from 13 laryngeal cancer biopsies and their expression levels of LC3, ATG5, p62 and PTOV1.

A novel DNA-binding motif in prostate tumor overexpressed-1 (PTOV1) required for the expression of ALDH1A1 and CCNG2 in cancer cells.

PTOV1 is a transcription and translation regulator and a promoter of cancer progression. Its overexpression in prostate cancer induces transcription of drug resistance and self-renewal genes, and docetaxel resistance. Here we studied PTOV1 ability to directly activate the transcription of ALDH1A1 and CCNG2 by binding to specific promoter sequences.

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.

Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing results across trials. Deep learning features inferred from digital pathology scans can improve validity and robustness of current clinico-pathological features, up to identifying novel histological patterns, e.

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep learning that incorporates a clinical algorithm, e.g., a risk stratification schema to improve prognostic profiling.

Phylogenetic convolutional neural networks in metagenomics.

Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels in images. We introduce here Ph-CNN, a novel deep learning architecture for the classification of metagenomics data based on the Convolutional Neural Networks, with the patristic distance defined on the phylogenetic tree being used as the proximity measure. The patristic distance between variables is used together with a sparsified version of MultiDimensional Scaling to embed the phylogenetic tree in a Euclidean space.

Prostate Tumor Overexpressed-1 (PTOV1) promotes docetaxel-resistance and survival of castration resistant prostate cancer cells.

Metastatic prostate cancer is presently incurable. The oncogenic protein PTOV1, first described in prostate cancer, was reported as overexpressed and significantly correlated with poor survival in numerous tumors. Here, we investigated the role of PTOV1 in prostate cancer survival to docetaxel and self-renewal ability.

Behavior problems in children with specific language impairment.

We studied behavior in a group of children with specific language impairment in its 2 subtypes (expressive and mixed receptive/expressive). After exclusion of other psychiatric conditions, we evaluated 114 children of ages 2 to 7 years using language developmental tests and behavioral screening scales. Behavior problems appeared in 54% of the children.

[Silent sinus syndrome--two cases report].

Introduction: Silent Sinus Syndrome (SSS) is a rare pathology, characterized by retraction of the maxillary sinus walls, leading to enophthalmos, sometimes diplopia and midfacial depression. It is usually not associated with sinonasal symptoms. Sinus ventilation and drainage stops its progression, but usually cannot reverse the process.

Equine bone marrow mesenchymal or amniotic epithelial stem cells as feeder in a model for the in vitro culture of bovine embryos.

Various studies have shown that the in vitro culture environment is one of the key determinants of the blastocyst output. In the present study we investigated the effects of co-culturing bovine embryos with equine bone marrow mesenchymal stem cells (BM-MSCs) or equine amniotic epithelial stem cells (AE-SCs) on in vitro blastocysts development. BM specimens were obtained aseptically from sternal aspirates of horses under local anaesthesia and the isolated cells were resuspended in Dulbecco Modified Earle's Medium supplemented with 10 ng/ml of basic fibroblast growth factor (bFGF).