ABO blood group does not influence Child-Pugh A cirrhosis outcome: An observational study from CIRRAL and ANRS CO12 CIRVIR cohorts.

Background And Aims: Non-O blood group promotes deep vein thrombosis and liver fibrosis in both general population and hepatitis C. We aimed to evaluate the influence of Non-O group on the outcome of Child-Pugh A cirrhotic patients.

Methods: We used two prospective cohorts of Child-Pugh A cirrhosis due to either alcohol or viral hepatitis.

STAG2 loss-of-function affects short-range genomic contacts and modulates the basal-luminal transcriptional program of bladder cancer cells.

Cohesin exists in two variants containing STAG1 or STAG2. STAG2 is one of the most mutated genes in cancer and a major bladder tumor suppressor. Little is known about how its inactivation contributes to tumorigenesis.

MAIT cells numbers and frequencies in patients with acute myeloid leukemia at diagnosis: association with cytogenetic profile and gene mutations.

Harnessing or monitoring immune cells is actually a major topic in pre-clinical and clinical studies in acute myeloid leukemia (AML). Mucosal-Associated Invariant T cells (MAIT) constitute one of the largest subset of innate-like, cytotoxic T cell subsets in humans. Despite some papers suggesting a role for MAIT cells in cancer, their specific involvement remains unclear, especially in myeloid malignancies.

Low Replicative Stress Triggers Cell-Type Specific Inheritable Advanced Replication Timing.

DNA replication timing (RT), reflecting the temporal order of origin activation, is known as a robust and conserved cell-type specific process. Upon low replication stress, the slowing of replication forks induces well-documented RT delays associated to genetic instability, but it can also generate RT advances that are still uncharacterized. In order to characterize these advanced initiation events, we monitored the whole genome RT from six independent human cell lines treated with low doses of aphidicolin.

CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19.

We introduce in this study CovMulNet19, a comprehensive COVID-19 network containing all available known interactions involving SARS-CoV-2 proteins, interacting-human proteins, diseases and symptoms that are related to these human proteins, and compounds that can potentially target them. Extensive network analysis methods, based on a bootstrap approach, allow us to prioritize a list of diseases that display a high similarity to COVID-19 and a list of drugs that could potentially be beneficial to treat patients. As a key feature of CovMulNet19, the inclusion of symptoms allows a deeper characterization of the disease pathology, representing a useful proxy for COVID-19-related molecular processes.

Chromatin network markers of leukemia.

Motivation: The structure of chromatin impacts gene expression. Its alteration has been shown to coincide with the occurrence of cancer. A key challenge is in understanding the role of chromatin structure (CS) in cellular processes and its implications in diseases.

Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships.

Comorbidity is a medical condition attracting increasing attention in healthcare and biomedical research. Little is known about the involvement of potential molecular factors leading to the emergence of a specific disease in patients affected by other conditions. We present here a disease interaction network inferred from similarities between patients' molecular profiles, which significantly recapitulates epidemiologically documented comorbidities.

Unveiling new disease, pathway, and gene associations via multi-scale neural network.

Diseases involve complex modifications to the cellular machinery. The gene expression profile of the affected cells contains characteristic patterns linked to a disease. Hence, new biological knowledge about a disease can be extracted from these profiles, improving our ability to diagnose and assess disease risks.

ChiCMaxima: a robust and simple pipeline for detection and visualization of chromatin looping in Capture Hi-C.

Capture Hi-C (CHi-C) is a new technique for assessing genome organization based on chromosome conformation capture coupled to oligonucleotide capture of regions of interest, such as gene promoters. Chromatin loop detection is challenging because existing Hi-C/4C-like tools, which make different assumptions about the technical biases presented, are often unsuitable. We describe a new approach, ChiCMaxima, which uses local maxima combined with limited filtering to detect DNA looping interactions, integrating information from biological replicates.

Synthesis, characterization and unravelling the molecular interaction of new bioactive 4-hydroxycoumarin derivative with biopolymer: Insights from spectroscopic and theoretical aspect.

In the progress of small molecule as drug candidates, 4-hydroxycoumarin based compounds bearing a crucial place as potent antibiotic agents with appreciable safety in drug invention. Being synthetically and easily obtainable, 4-hydroxycoumarin related compounds with planar structure have been promoted predominantly as DNA targeting agent. Nevertheless, here we elucidate the synthesis, characterization and theoretical study of bio-active small molecule 4-hydroxy-3,4'-bichromenyl-2,2'-dione (4HBD).

Estimate of hepatocellular carcinoma incidence in patients with alcoholic cirrhosis.

Background & Aims: More than 90% of cases of hepatocellular carcinoma (HCC) occur in patients with cirrhosis, of which alcohol is a major cause. The CIRRAL cohort aimed to assess the burden of complications in patients with alcoholic cirrhosis, particularly the occurrence of HCC.

Methods: Patients with biopsy-proven compensated alcoholic cirrhosis were included then prospectively followed.

Nomogram for individualized prediction of hepatocellular carcinoma occurrence in hepatitis C virus cirrhosis (ANRS CO12 CirVir).

Unlabelled: The aim of this work was to develop an individualized score for predicting hepatocellular carcinoma (HCC) in patients with hepatitis C (HCV)-compensated cirrhosis. Among 1,323 patients with HCV cirrhosis enrolled in the French prospective ANRS CO12 CirVir cohort, 720 and 360 were randomly assigned to training and validation sets, respectively. Cox's multivariate model was used to predict HCC, after which a nomogram was computed to assess individualized risk.