8 research outputs found
UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein–protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250 000 interactions between ∼22 300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies
Bardet–Biedl syndrome with nonalcoholic steatohepatitis, hypertension, and hypothyroidism
Bardet–Biedl syndrome (BBS) is a rare, genetically heterogeneous, autosomal recessive inherited disorder with wide variability in expression. The accepted major criteria for diagnosis include retinal dystrophy, obesity, polydactyly, male hypogonadism, mental retardation, and renal dysfunction. We are presenting a 20-year-old male patient exhibiting characteristic features of BBS in association with nonalcoholic steatohepatitis, hypertension, and hypothyroidism, which is uncommon. Literature is also reviewed in brief
Biochemical Analysis and Human Aldose Reductase Inhibition Activity of Selected Medicinal Plants of Nepal
Aldose reductase has received extensive research as a key enzyme in the development of long-term problems linked to diabetes mellitus. Overexpression of this enzyme or with exceeded glucose concentration in the blood increases sorbitol on the retina leading to retinopathy, which is the adverse effect of type II diabetes. Approximately 100 million people are suffering from diabetic retinopathy globally. This research is focused on studying the total phenolic content (TPC), total flavonoid content (TFC), antioxidant potential, and aldose reductase inhibiting properties of selected medicinal plants such as Anacyclus pyrethrum, Bergenia ciliata, Rhododendron arboreum, and Swertia chirayita. In addition, ADMET analysis and molecular docking of seven previously identified compounds from the chosen medicinal plants were carried out against human aldose reductase (PDB ID: 4JIR). The ethanol extract of S. chirayita exhibited the highest TPC (4.63 ± 0.16 mg GAE/g) and TFC (0.90 ± 0.06 mg QE/g). Analysis of 2,2-diphenyl-1-picrylhydrazyl (DPPH)-based antioxidant assay showed that IC50 of the ethanolic extract of B. cilata and R. arboreum showed a significant antioxidant activity with IC50 value of 0.05 mg/mL. The percentage inhibition of AR by extract of B. ciliata (94.74 ± 0.01%) was higher than other plant extracts. A molecular docking study showed that morin isolated from B. ciliata showed a good binding interaction with AR. This study showed that the extracts of A. pyrethrum, B. ciliata, and R. arboreum could be potential sources of inhibitors against AR to treat retinopathy
Book of Abstracts of the 2nd International Conference on Applied Mathematics and Computational Sciences (ICAMCS-2022)
It is a great privilege for us to present the abstract book of ICAMCS-2022 to the authors and the delegates of the event. We hope that you will find it useful, valuable, aspiring, and inspiring. This book is a record of abstracts of the keynote talks, invited talks, and papers presented by the participants, which indicates the progress and state of development in research at the time of writing the research article. It is an invaluable asset to all researchers. The book provides a permanent record of this asset.
Conference Title: 2nd International Conference on Applied Mathematics and Computational SciencesConference Acronym: ICAMCS-2022Conference Date: 12-14 October 2022Conference Organizers: DIT University, Dehradun, IndiaConference Mode: Online (Virtual
International Nosocomial Infection Control Consortiu (INICC) report, data summary of 43 countries for 2007-2012. Device-associated module
We report the results of an International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2007-December 2012 in 503 intensive care units (ICUs) in Latin America, Asia, Africa, and Europe. During the 6-year study using the Centers for Disease Control and Prevention's (CDC) U.S. National Healthcare Safety Network (NHSN) definitions for device-associated health care–associated infection (DA-HAI), we collected prospective data from 605,310 patients hospitalized in the INICC's ICUs for an aggregate of 3,338,396 days. Although device utilization in the INICC's ICUs was similar to that reported from ICUs in the U.S. in the CDC's NHSN, rates of device-associated nosocomial infection were higher in the ICUs of the INICC hospitals: the pooled rate of central line–associated bloodstream infection in the INICC's ICUs, 4.9 per 1,000 central line days, is nearly 5-fold higher than the 0.9 per 1,000 central line days reported from comparable U.S. ICUs. The overall rate of ventilator-associated pneumonia was also higher (16.8 vs 1.1 per 1,000 ventilator days) as was the rate of catheter-associated urinary tract infection (5.5 vs 1.3 per 1,000 catheter days). Frequencies of resistance of Pseudomonas isolates to amikacin (42.8% vs 10%) and imipenem (42.4% vs 26.1%) and Klebsiella pneumoniae isolates to ceftazidime (71.2% vs 28.8%) and imipenem (19.6% vs 12.8%) were also higher in the INICC's ICUs compared with the ICUs of the CDC's NHSN