Romosozumab for the treatment of osteoporosis – a systematic review

Autor: Mäkinen, V.-N., Sølling, A. S., McClung, M., Langdahl, B. L.

Publikováno v: Journal of Endocrinological Investigation; 20240101, Issue: Preprints p1-26, 26p

Transcriptional targets of senataxin and E2 promoter binding factors are associated with neuro-degenerative pathways during increased autophagic flux

Autor: Casey, A. E. (Aaron E.), Liu, W. (Wenjun), Hein, L. K. (Leanne K.), Sargeant, T. J. (Timothy J.), Pederson, S. M. (Stephen M.), Mäkinen, V.-P. (Ville-Petteri)

Autophagy is an intracellular recycling process that degrades harmful molecules and enables survival during starvation, with implications for diseases including dementia, cancer and atherosclerosis. Previous studies demonstrate how a limited number o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::a92588ac0418500f81684923e0a72362
http://urn.fi/urn:nbn:fi-fe2023060752721

Characteristics of mormalization methods in quantitative urinary metabolomics:implications for epidemiological applications and interpretations

Autor: Li, T. (Tianqi), Tynkkynen, T. (Tuulia), Ihanus, A. (Andrei), Zhao, S. (Siyu), Mäkinen, V.-P. (Ville-Petteri), Ala-Korpela, M. (Mika)

A systematic comparison is presented for the effects of seven different normalization schemes in quantitative urinary metabolomics. Morning spot urine samples were analyzed with nuclear magnetic resonance (NMR) spectroscopy from a population-based gr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::eecd37511d0ab303bd8ee37ce8fc551a
http://urn.fi/urn:nbn:fi-fe2023052949050

Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology:disclosure of fundamental structural and metabolic relationships

Autor: Ala-Korpela, M. (Mika), Zhao, S. (Siyu), Järvelin, M.-R. (Marjo-Riitta), Mäkinen, V.-P. (Ville-Petteri), Ohukainen, P. (Pauli)

Background: Quantitative lipoprotein analytics using nuclear magnetic resonance (NMR) spectroscopy is currently commonplace in large-scale studies. One methodology has become widespread and is currently being utilized also in large biobanks. It allow

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::aabd5f7fbb20666434101dcc35d38862
http://urn.fi/urn:nbn:fi-fe2022020217345

Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity

Autor: Couto Alves, A, Valcarcel, B, Mäkinen, V-P, Morin-Papunen, L, Sebert, S, Kangas, A J, Soininen, P, Das, S, De Iorio, M, Coin, L, Ala-Korpela, M, Järvelin, M-R

Publikováno v: Couto Alves, A, Valcarcel, B, Mäkinen, V-P, Morin-Papunen, L, Sebert, S, Kangas, A J, Soininen, P, Das, S, De Iorio, M, Coin, L, Ala-Korpela, M & Järvelin, M-R 2017, ' Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity ', International Journal of Obesity, vol. 41, no. 9, pp. 1331-1340 . https://doi.org/10.1038/ijo.2017.126

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common reproductive disorder associated with metabolic disturbances including obesity, insulin resistance and diabetes mellitus. Here we investigate whether changes in the metabolic profile of PCOS wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2642::a9c5398d1467cc049c213bc3752ee197
https://research-information.bris.ac.uk/ws/files/169556059/ijo2017126a.pdf