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ProteomicsQuantitative proteomic analysis of CKD urine samples
Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to specify CKD-related injury markers through proteomics analysis in urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatogr...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2021-06-15 | MSV000087635 | MassIVE
UnknownTargeting mutant KRAS with CRISPR-Cas9 controls tumor growth.
KRAS is the most frequently mutated oncogene in human tumors, and its activating mutations represent important therapeutic targets. The combination of Cas9 and guide RNA from the CRISPR-Cas system recognizes a specific DNA sequence and makes a double-strand break, which enables editing of the...
S-EPMC5848616 | biostudies-literature
UnknownComparison of the Oral Calcimimetics Evocalcet and Cinacalcet in East Asian Patients on Hemodialysis with Secondary Hyperparathyroidism.

Introduction

Evocalcet is an oral calcimimetic agent with proven efficacy and safety in treating secondary hyperparathyroidism (SHPT) in Japanese patients on dialysis.

Methods

This randomized, double-blind, intrapatient dose-adjustment, parallel-group, international multicenter study ...
S-EPMC10658267 | biostudies-literature
UnknownMulti-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries.

Background

Polygenic risk scores (PRSs) improve type 2 diabetes (T2D) prediction beyond clinical risk factors but perform poorly in non-European populations, where T2D burden is often higher, undermining their global clinical utility.

Methods

We conducted the largest global effort to ...
S-EPMC12330429 | biostudies-literature
UnknownGenetic diversity fuels gene discovery for tobacco and alcohol use.
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individua...
S-EPMC9771818 | biostudies-literature
UnknownMulti-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.
We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-an...
S-EPMC9179018 | biostudies-literature
UnknownUsing brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia.
Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schi...
S-EPMC10189495 | biostudies-literature
UnknownGenetic drivers of heterogeneity in type 2 diabetes pathophysiology.
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregat...
S-EPMC10937372 | biostudies-literature
UnknownMulti-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ances...
S-EPMC10081410 | biostudies-literature
UnknownGlobal, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019.
Not available
S-EPMC8429803 | biostudies-literature
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