Publications by authors named "T M Michelsen"
Preeclampsia is a pregnancy disorder with substantial perinatal and maternal morbidity and mortality. Pregnant women at risk of preeclampsia would benefit from early detection for follow-up, timely interventions and delivery. Several attempts have been made to identify protein biomarkers of preeclampsia, but findings vary with demographics, clinical characteristics, and time of sampling.
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- Higher maternal body mass index (BMI) is linked to metabolic issues and complications during pregnancy in women with obesity (BMI ≥ 30 kg/m).
- In a study of 81 obese pregnant women, specific metabolic profiles in the early stages of pregnancy were analyzed to predict complications like gestational diabetes and preeclampsia.
- Results indicated that certain fatty acid ratios impacted the risk of developing these complications, with some ratios increasing risk while others, particularly those involving omega-3 fatty acids, appeared to decrease it.
We aimed to explore novel biomarker candidates and biomarker signatures of late-onset preeclampsia (LOPE) by profiling samples collected in a longitudinal discovery cohort with a high-throughput proteomics platform. Using the Somalogic 5000-plex platform, we analyzed proteins in plasma samples collected at three visits (gestational weeks (GW) 12-19, 20-26 and 28-34 in 35 women with LOPE (birth ≥ 34 GW) and 70 healthy pregnant women). To identify biomarker signatures, we combined Elastic Net with Stability Selection for stable variable selection and validated their predictive performance in a validation cohort.
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- * The study analyzed data from 423 adults with long COVID and found that 37% experienced internal tremors, which were linked to worse health outcomes and higher rates of certain conditions.
- * Participants with these symptoms reported poorer quality of life and more new-onset mast cell and neurologic disorders compared to those without internal tremors.
Objective: To validate self-reported hysterectomy and bilateral oophorectomy.
Design: Validation study.
Setting: Large population-based cohort study in Norway: The Trøndelag Health Study (HUNT).