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A perspective on muscle phenotyping in musculoskeletal research.
Foessl I, Ackert-Bicknell CL, Kague E, Laskou F, Jakob F, Karasik D, Obermayer-Pietsch B; Co-Authors; Alonso N, Bjørnerem Å, Brandi ML, Busse B, Calado Â, Cebi AH, Christou M, Curran KM, Hald JD, Semeraro MD, Douni E, Duncan EL, Duran I, Formosa MM, Gabet Y, Ghatan S, Gkitakou A, Hassler EM, Högler W, Heino TJ, Hendrickx G, Khashayar P, Kiel DP, Koromani F, Langdahl B, Lopes P, Mäkitie O, Maurizi A, Medina-Gomez C, Ntzani E, Ohlsson C, Prijatelj V, Rabionet R, Reppe S, Rivadeneira F, Roshchupkin G, Sharma N, Søe K, Styrkarsdottir U, Szulc P, Teti A, Tobias J, Valjevac A, van de Peppel J, van der Eerden B, van Rietbergen B, Zekic T, Zillikens MC. Foessl I, et al. Among authors: szulc p. Trends Endocrinol Metab. 2024 Mar 28:S1043-2760(24)00018-3. doi: 10.1016/j.tem.2024.01.004. Online ahead of print. Trends Endocrinol Metab. 2024. PMID: 38553405 Free article. Review.
Fracture risk based on high-resolution peripheral quantitative computed tomography measures does not vary with age in older adults-the bone microarchitecture international consortium prospective cohort study.
Szulc P, Dufour AB, Hannan MT, Kiel DP, Chapurlat R, Sornay-Rendu E, Merle B, Boyd SK, Whittier DE, Hanley DA, Goltzman D, Wong AKO, Lespessailles E, Khosla S, Ferrari S, Biver E, Bouxsein ML, Samelson EJ. Szulc P, et al. J Bone Miner Res. 2024 May 24;39(5):561-570. doi: 10.1093/jbmr/zjae033. J Bone Miner Res. 2024. PMID: 38477737
A meta-analysis of previous falls and subsequent fracture risk in cohort studies.
Vandenput L, Johansson H, McCloskey EV, Liu E, Schini M, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, McGuigan FEA, Mellström D, Merlijn T, Nguyen TV, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens M, Zwart M, Harvey NC, Lorentzon M, Leslie WD, Kanis JA. Vandenput L, et al. Among authors: szulc p. Osteoporos Int. 2024 Mar;35(3):469-494. doi: 10.1007/s00198-023-07012-1. Epub 2024 Jan 17. Osteoporos Int. 2024. PMID: 38228807 Free article.
Machine Learning Analysis of the Impact of Silver Nitrate and Silver Nanoparticles on Wheat (Triticum aestivum L.): Callus Induction, Plant Regeneration, and DNA Methylation.
Türkoğlu A, Haliloğlu K, Demirel F, Aydin M, Çiçek S, Yiğider E, Demirel S, Piekutowska M, Szulc P, Niedbała G. Türkoğlu A, et al. Among authors: szulc p. Plants (Basel). 2023 Dec 13;12(24):4151. doi: 10.3390/plants12244151. Plants (Basel). 2023. PMID: 38140479 Free PMC article.
232 results