Fimlab (Finland)

SOX10 Expression in Primary Salivary Gland Tumors: A Meta-Analysis

Abstract Purpose Primary salivary gland tumors form a heterogeneous group with diagnostic challenges. Sex-determining region Y-related homeobox 10 (SOX10) is a transcription factor studied in primary salivary gland tumors for over a decade. To date, no systematic review or meta-a...

Microbial differences and continuity across rectal, vaginal and endometrial sites in obese and normal-weight infertile women

Abstract Background This study characterizes microbial relationships and bacterial transfer across the rectal, vaginal and endometrial microbiomes upon embryo transfer, and evaluates the influence of obesity on site-specific profiles. The Tampere Infertility Microbiome Project (T...

Toward Optimized Proteomics Analysis to Detect Bacterial and Host Proteins in Calcified Coronary Artery Plaques

Abstract Coronary calcification is the final stage in coronary heart disease, associated with significantly increased morbidity and mortality. The molecular pathology of calcification and especially events triggering calcification are poorly understood. Metagenomic and molecular...

Robust inference and correlates from genetic associations with personality

Personality traits describe stable differences in how people think, feel and behave, and how they interact with and experience their social and physical environments1,2. Many questions remain unanswered about associations between DNA and personality traits, such as their robustne...

Long-term type 2 diabetes risk prediction using machine learning with childhood, adolescent, and genetic factors

Abstract Late diagnosis of type 2 diabetes increases patient morbidity and healthcare burden, yet current prediction models use adult risk factors to estimate 5–10-year risk. In this manuscript, we evaluate long-term prediction of type 2 diabetes over 38 years using childhood fac...

Uncovering food purchase behaviors and their shifts using Hidden Markov Modeling

Abstract Background Investigating food purchase data is a novel and effective approach to large-scale dietary assessment, but many traditional analysis methods often overlook the temporal structure of food purchases. This study demonstrates a data-driven approach for identifying...