Publications by authors named "L I Levitsky"
Article Synopsis
- - Myhre syndrome is a rare genetic disorder linked to mutations in the SMAD4 gene, with recent studies from Massachusetts General Hospital highlighting its complexities through evaluations of 47 patients.
- - The findings indicate that symptom progression occurs in all patients after at least 5 years of observation, with different SMAD4 variants associated with varying health outcomes, particularly regarding hearing loss and aortic hypoplasia.
- - There is a call for more research and evidence-based guidelines to improve understanding and treatment of Myhre syndrome, especially given the serious complications observed, including deaths related to cardiovascular issues.
Article Synopsis
- Youth-onset type 2 diabetes (T2D) shows more severe symptoms and complications compared to adult-onset T2D, prompting researchers to analyze its underlying factors.
- The study stemmed from the TODAY clinical trial, involving 398 adolescents aged 10 to 17 with T2D, who were monitored over nearly 4 years to assess the impact of growth hormone mediators on their condition.
- Key outcomes included tracking glycemic control, insulin sensitivity, and beta cell function, with findings indicating a correlation between increasing IGF-1 levels and better management of diabetes in youth.
Article Synopsis
- * A study examined genetic sequences from over 3,000 youth-onset T2D patients, finding specific gene variants and associations related to obesity and diabetes.
- * The research indicates that youth-onset T2D shares genetic factors with adult-onset T2D but shows a higher prevalence of rare variants, suggesting it is a diverse condition that falls between monogenic diabetes and adult-onset T2D.
One of the key steps in data dependent acquisition (DDA) proteomics is detection of peptide isotopic clusters, also called "features", in MS1 spectra and matching them to MS/MS-based peptide identifications. A number of peptide feature detection tools became available in recent years, each relying on its own matching algorithm. Here, we provide an integrated solution, the intensity-based Quantitative Mix and Match Approach (IQMMA), which integrates a number of untargeted peptide feature detection algorithms and returns the most probable intensity values for the MS/MS-based identifications.
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