Investigating the cytotoxicity of per- and polyfluoroalkyl substances in HepG2 cells: A structure-activity relationship approach von Amstutz, V.H., Cengo, A., Gehres, F., Sijm, D.T.H.M., Vrolijk, M.F.

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The impact of legacy and novel perfluoroalkyl substances on human cytochrome P450: An in vitro study on the inhibitory potential and underlying mechanisms von Amstutz, V.H., Cengo, A., Sijm, D.T.H.M., Vrolijk, M.F.

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P22-34: An in vitro Quantitative Structure-Activity Relationship (QSAR) approach in the risk assessment of PFAS using HepG2 and THP-1 cells von Amstutz, V.H., Cengo, A., Sijm, D.T., Vrolijk, M.F.

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SOC-VI-07 Using a quantitative structure-activity (QSAR) approach in the risk assessment of PFAS based on in vitro assays von Amstutz, V.H., Cengo, A., Sijm, D.T., Vrolijk, M.F.

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The role of PFAS in non-alcoholic fatty liver disease: a structure-activity relationship on hepatotoxicity von Amstutz, V.H., Gehres, F.G., Cengo, A., Vrolijk, M.F., Sijm, D.T.

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Protective effects of Sulforaphane on Heart Rate Variability upon calorie-induced inflammatory response: A double-blind, crossover, randomized, placebo-controlled study von van Steenwijk, Hidde, Bast, Aalt, Semen, Khrystyna, de Boer, Alie, van Osch, Frits, Cengo, Ardi

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Topical prebiotics/postbiotics and PRURISCORE validation in atopic dermatitis. International study of 396 patients von Gelmetti, Carlo, Rigoni, Corinna, Cantù, Alessandra Maria, Agolzer, Antonina, Agrusa, Alice, Brena, Michela, Dall'Oglio, Federica, Demichelis, Patrizia, Farina, Sandra, Frasin, Lucretia Adina, Lorenzi, Sandra, Mazzola, Giuseppina, Praticò, Marisa, Robotti, Stefania, Tedeschi, Aurora, Villa, Lucia, Ananiadis, Prodromos, Arkoumani, Eirini, Astashonok, Iulia, Baselga Torres, Eulalia, Borici, Sidita, Cano, Elna, Cela, Rozana, Cengo, Amarda, Corella, Francisca, Cubiro Raventos, Xavier, De Jesus Silva, Miriam America, Demiraj, Ermira, Dhima, Entela, Doci, Xhiljola, Domarad, Anna, Didyk, Marina, Dyli, Albana, Efthimiou, Ourania, Filippi, Georgia, Flores Climente, Víctor-Adrian, Garcia Muret, Maria Pilar, Navarro, Javier Garcia, Gega, Migena, Giakoub, Aristea Noura, Giakoubis, Vasileios, Gica, Amarda, Gjomema, Marjeta, Guri, Blerina, Janushaj, Elmijola, Kanelleas, Antonios, Kanelopoulou, Georgia, Kapaj, Entela, Kapoukranidou, Dorothea, Karadima, Konstantina, Katsavou, Athina, Kotrulja, Lena, Kyriakou, Aikaterini, Larios, Georgios, Lopez, Anna, Lopez, Cristina, Manoli, Sofia Magdalini, Matvienko, Tatiana, Mervic, Liljana, Mileounis, Konstantinos, Muja, Diana, Nadezhda, Milkota, Panagioti, Despoina, Papakonstantis, Markos, Papanikou, Maria, Papathemeli, Despoina, Papigkioti, Kyriaki, Pivak, Violetta, Preza, Driada, Roé, Esther, Rogl Butina, Mirjam, Serra Baldrich, Esther, Sgouros, Dimitrios, Shilova, Aleksandra, Shllaku, Eljona, Sideris, Nikolaos, Sina, Ermal, Sinani, Ardiana, Sourli-Chasioti, Fani, Stankaj, Mirsa, Tasioula, Dimitra, Tsalmadoupis, Athanasios, Tsatsou, Fragkiski, Tsenebi, Eftichia, Tsitlakidou, Anastasia, Vassis, Politimos, Vilarrassa, Eva, Vorobey, Olga, Voutsakis, Nikolaos, Yakovleva, Svetlana, Yakubovskaya, Svetlana, Yerygina, Ekaterina, Zarras, Alexios, Zenelaj, Valbona, Zenko, Olga

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A bioinformatics workflow to decipher transcriptomic data from vitamin D studies von Muñoz García, Amadeo, Eijssen, Lars M., Kutmon, Martina, Sarathy, Chaitra, Cengo, Ardi, Hewison, Martin, Evelo, Chris T., Lenz, Michael, Coort, Susan L.

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