J
Janina Piotrowska-Jastrzębska
Researcher at Medical University of Białystok
Publications - 49
Citations - 519
Janina Piotrowska-Jastrzębska is an academic researcher from Medical University of Białystok. The author has contributed to research in topics: Elimination diet & Bone mineral. The author has an hindex of 11, co-authored 49 publications receiving 485 citations.
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Journal ArticleDOI
HPLC method for simultaneous determination of retinol, α-tocopherol and coenzyme Q10 in human plasma
TL;DR: The proposed HPLC method with UV detection was applied to the determination of the levels of retinol, tocopherol and coenzyme Q(10) in plasma of healthy children and children treated by elimination diet.
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Fractures during growth: potential role of a milk-free diet
Jerzy Konstantynowicz,Jerzy Konstantynowicz,Tuan V. Nguyen,Maciej Kaczmarski,Jacek Jamiołkowski,Janina Piotrowska-Jastrzębska,Ego Seeman +6 more
TL;DR: The data suggest that the contribution of milk-free diet to fracture liability among children and adolescents is modest, and cow’s milk allergy is associated with increased fracture risk in girls.
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Application of derivative spectrophotometry for determination of coenzyme Q10 in pharmaceuticals and plasma
TL;DR: The use of derivative spectrophotometry is proposed in this work for determination of coenzyme Q10 in formulations and in human plasma and the results agree well with declared value and with these obtained by HPLC.
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A potential pathogenic role of oxalate in autism
Jerzy Konstantynowicz,Tadeusz Porowski,Walentyna Zoch-Zwierz,Jolanta Wasilewska,Halina Kadziela-Olech,Wojciech Kułak,Susan Costen Owens,Janina Piotrowska-Jastrzębska,Maciej Kaczmarski +8 more
TL;DR: Hyperoxalemia and hyperoxaluria may be involved in the pathogenesis of ASD in children and whether this is a result of impaired renal excretion or an extensive intestinal absorption, or both, remains unclear.
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ATM gene founder haplotypes and associated mutations in Polish families with ataxia-telangiectasia.
Midori Mitui,E. Bernatowska,B. Pietrucha,Janina Piotrowska-Jastrzębska,Laura Eng,Shareef A. Nahas,Sharon N. Teraoka,Sharon N. Teraoka,G. Sholty,A. Purayidom,Patrick Concannon,Patrick Concannon,Richard A. Gatti +12 more
TL;DR: 44 of the expected 48 mutations were identified: sixty‐nine percent were nonsense mutations, 23% caused aberrant splicing, and 5% were missense mutations, which greatly improved the efficiency of mutation detection.