Using transfer learning-based causality extraction to mine latent factors for Sjögren's syndrome from biomedical literature.

Understanding causality is a longstanding goal across many different domains. Different articles, such as those published in medical journals, disseminate newly discovered knowledge that is often causal. In this paper, we use this intuition to build a model that leverages causal relations to unearth factors related to Sjögren's syndrome from biomedical literature. Sjögren's syndrome is an autoimmune disease affecting up to 3.1 million Americans. Due to the uncommon nature of the illness, symptoms across different specialties coupled with common symptoms of other autoimmune conditions such as rheumatoid arthritis, it is difficult for clinicians to diagnose the disease timely. Due to the lack of a dedicated dataset for causal relationships built from biomedical literature, we propose a transfer learning-based approach, where the relationship extraction model is trained on a wide variety of datasets. We conduct an empirical analysis of numerous neural network architectures and data transfer strategies for causal relation extraction. By conducting experiments with various contextual embedding layers and architectural components, we show that an ELECTRA-based sentence-level relation extraction model generalizes better than other architectures across varying web-based sources and annotation strategies. We use this empirical observation to create a pipeline for identifying causal sentences from literature text, extracting the causal relationships from causal sentences, and building a causal network consisting of latent factors related to Sjögren's syndrome. We show that our approach can retrieve such factors with high precision and recall values. Comparative experiments show that this approach leads to 25% improvement in retrieval F1-score compared to several state-of-the-art biomedical models, including BioBERT and Gram-CNN. We apply this model to a corpus of research articles related to Sjögren's syndrome collected from PubMed to create a causal network for Sjögren's syndrome. The proposed causal network for Sjögren's syndrome will potentially help clinicians with a holistic knowledge base for faster diagnosis.

Novel Derivatives of Nicotinic Acid as Promising Anticancer Agents.

BACKGROUND: Cancer has become the second leading cause of death worldwide. Despite of the availability of significant number of anticancer agents, cancer is still incurable especially at the last stages. Remarkable targets for anticancer research and drug discovery are heterocyclic compounds, and among them, superior effect has been shown by the nitrogen containing compounds than non-nitrogen containing compounds. Nicotinic acid, a nitrogen containing moiety and its derivatives have gained an immense importance in the development of anticancer drugs owing to the wide variety of biological properties displayed by them. OBJECTIVE: The objective of this review is to provide researchers the information about various synthetic approaches used for the synthesis of anticancer drugs of nicotinic acid from 2001 onwards and to reveal their application and importance in the treatment of this dreadful disease. CONCLUSION: As indicated by this review, considerable work has been done in terms of synthesis and investigation of anticancer potential of nicotinamide derivatives. The information provided in this article may be of great value for the researchers seeking to develop efficient anticancer drugs.

DPP-IV inhibitory potential of naringin: an in silico, in vitro and in vivo study.

The incretin based therapies are an emerging class of antidiabetic drugs, with two categories: one is glucagone like peptide-1 (GLP-1) agonists and the other one is dipeptidyl peptidase (CD26; DPP-IV) inhibitors. However, in the DPP-IV inhibitors category only few compounds are commercially available and also have some undesirable effects. Therefore, in the present work we tried to explore a naturally occurring compound naringin for its potential DPP-IV inhibition and antidiabetic potential. It is noteworthy that this compound is abundantly present in orange peel and thus may provide cost effective treatment for diabetes, especially type 2 diabetes mellitus. In the present study, we have conducted virtual docking study and observed tight binding of naringin, as shown by higher negative values of H bond lengths, while in vitro DPP-IV inhibition assay has also shown better inhibition by naringin. In vivo study, in response to 10 days administration of 40 mg/kg of naringin twice daily to Wistar albino rats, inhibited the serum levels of DPP-IV activity, random glucose concentration with concomitant increase in insulin levels. All the comparisons were made with the standard commercially available drug sitagliptin.