Article
Chemistry, Multidisciplinary
Abraham Madariaga-Mazon, Jose J. Naveja, Jose L. Medina-Franco, Karla O. Noriega-Colima, Karina Martinez-Mayorga
Summary: Natural products, especially from medicinal plants, are important sources of bioactive compounds, including those with potential antidiabetic properties. Despite the abundance of research articles on antidiabetic compounds, the lack of a chemical database hampers their application in drug development.
Article
Biochemical Research Methods
Huadong Xing, Dachuan Zhang, Pengli Cai, Rui Zhang, Qian-Nan Hu
Summary: This study developed a rare disease data acquisition framework using text mining and knowledge graphs and constructed the most comprehensive rare disease knowledge graph to date, called Rare Disease Bridge (RDBridge). RDBridge offers search functions for genes, potential drugs, pathways, literature, and medical imaging data, which will support mechanistic research, drug development, diagnosis, and treatment for rare diseases.
Article
Biochemical Research Methods
Anku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, Aayushi Mittal, Krishan Gupta, Aditya Arya, Suvendu Kumar, Nikhil Katyayan, Nilesh Kumar Dixit, Siddhant Kalra, Manshi Goel, Megha Sahni, Vrinda Singhal, Tripti Mishra, Debarka Sengupta, Gaurav Ahuja
Summary: Machine learning techniques are becoming state-of-the-art methods in chemoinformatics for identifying biologically relevant molecules efficiently. However, challenges exist due to the limited availability of such techniques. MOA is a user-friendly open-source computational framework that integrates popular chemical databases and allows customized screening of chemical datasets.
Review
Nutrition & Dietetics
Arslan Shaukat, Arsalan Zaidi, Haseeb Anwar, Nadeem Kizilbash
Summary: This review examines the pharmacological and pharmacokinetic properties of Nigella sativa (NS) as a herbal diabetes medication. It discusses the efficacy and safety of NS in diabetes management, as well as its interaction with oxidative stress.
FRONTIERS IN NUTRITION
(2023)
Article
Food Science & Technology
Mrunmai Tapadia, Stuart Johnson, Ranjeet Utikar, Philip Newsholme, Rodrigo Carlessi
Summary: The gamma-conglutin peptides showed a potential insulin-mimetic action in muscle cells by activating insulin signaling pathways and also effectively inhibited DPP4 activity, indicating their potential to prolong the half-life of incretin hormones in circulation. These results support the health benefits of consuming lupin seeds and suggest a shift in the market towards lupin-based food products for human consumption.
JOURNAL OF FUNCTIONAL FOODS
(2021)
Article
Endocrinology & Metabolism
Jenny W. Sun, Sonia Hernandez-Diaz, Florence T. Bourgeois, Sebastien Haneuse, Gregory Brill, Brian T. Bateman, Krista F. Huybrechts
Summary: From 2004 to 2019, there was a significant increase in non-insulin antidiabetic medication use among commercially insured paediatric patients, with most patients being treated with metformin and low use of newer agents. Poor medication adherence was observed, with many patients experiencing early treatment interruptions after initiation.
DIABETES OBESITY & METABOLISM
(2021)
Article
Chemistry, Multidisciplinary
Arwa R. R. Althaher, Andrea Mastinu
Summary: This study aimed to assess the antioxidant and antidiabetic properties of ethanolic phytoextracts of Calamintha incana (Sm.) Helder leaves. The chemical characterization of the phytocomplex was performed using HPLC/MS. The extract demonstrated low toxicity and potent antioxidant activity, and showed some inhibition of glucose metabolism.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Tom E. de Vries, Elias Vlieg, Rene de Gelder
Summary: Networks are important for describing relationships between people, roads between cities, reactions between chemicals, and other interactions. Bipartiteness, dividing the network into two groups, can facilitate the study of the network's structure. We have developed an algorithm that can find a near-optimal bipartisation within a reasonable time frame and used it to uncover the hidden structure of the CSD cocrystal network.
Article
Biochemistry & Molecular Biology
Dalwinder Singh, Joy Roy
Summary: The identification of protein-coding and non-coding transcripts is crucial for understanding their biological roles. Computational approaches have been used for over a decade, but reliable and high-performance models are still lacking. This benchmark study evaluated the performance of 24 tools on diverse datasets and identified the key limitations affecting their performance.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Oncology
Li Pang, Zhiqiang Guo
Summary: This study investigated the characteristics and outcomes of ovarian large-cell neuroendocrine carcinoma compared to high-grade serous ovarian cancer. The study found that patients with ovarian large-cell neuroendocrine carcinoma were more likely to present with advanced-stage disease and had lower overall and cancer-specific survival rates.
FRONTIERS IN ONCOLOGY
(2022)
Article
Respiratory System
Marc Humbert, Arnaud Bourdin, Camille Taille, Driss Kamar, Celine Thonnelier, Audrey Lajoinie, Alexandre Rigault, Antoine Deschildre, Mathieu Molimard
Summary: This study assessed the treatment patterns of omalizumab in adult and pediatric asthma patients in France. It showed that after 2 years of treatment, the hospitalization rate for asthma and the use of oral corticosteroids significantly decreased. Additionally, patients who discontinued omalizumab while their asthma was controlled maintained good asthma control and low healthcare resource utilization during the follow-up period.
EUROPEAN RESPIRATORY JOURNAL
(2022)
Article
Environmental Sciences
Barbara Sladonja, Danijela Damijanic, Mirela Uzelac, Danijela Poljuha
Summary: Large and monumental trees are vital for the ecosystem and hold ecological, environmental, and historical significance. However, Croatia lacks a comprehensive inventory of these trees. In the Istria region, a citizen science project was launched in 2022 to identify the locations of significant trees with the help of the public. The project resulted in a geo-referenced catalogue of 64 super-trees, which serves as a crucial first step towards the establishment of a regional or national registry.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Psychiatry
Daisuke Shinjo, Hisateru Tachimori, Keiko Maruyama-Sakurai, Kenji Fujimori, Norihiko Inoue, Kiyohide Fushimi
Summary: The study examined CLP services in Japan from 2012 to 2016, finding that patients aged 75-84 were the main recipients, with a fairly even male-to-female ratio. While 14 prefectures provided CLP in 2012, this number increased to 33 by 2016, with 14 still lacking CLP services. Adjusted for covariates, the Tohoku, Chugoku, and Shikoku regions showed a significant negative correlation with the number of consultations per CLP patient compared to Hokkaido.
Article
Biochemistry & Molecular Biology
Shuwei Yao, Ronghui You, Shaojun Wang, Yi Xiong, Xiaodi Huang, Shanfeng Zhu
Summary: This study addresses the challenge of large-scale automated protein function prediction and introduces NetGO 2.0, which incorporates literature information and deep sequence information to enhance prediction performance. Experimental results demonstrate significant improvements of NetGO 2.0 over the previous version in predicting biological process ontology and cellular component ontology.
NUCLEIC ACIDS RESEARCH
(2021)
Article
Biochemical Research Methods
Ronghui You, Shuwei Yao, Hiroshi Mamitsuka, Shanfeng Zhu
Summary: DeepGraphGO is a multispecies graph neural network-based method aimed at solving the problem of automated function prediction of proteins. By utilizing protein sequence and high-order protein network information, a single model can be trained for all species, providing more training samples for AFP. Experimental results demonstrate that DeepGraphGO significantly outperforms other state-of-the-art methods, including network-based GeneMANIA, deepNF, and clusDCA.