6 results on '"Ramírez, Francisca"'
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2. Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study
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Fountoulakis, Konstantinos N., Vrublevska, Jelena, Abraham, Seri, Adorjan, Kristina, Ahmed, Helal Uddin, Alarcón, Renato D., Arai, Kiyomi, Auwal, Sani Salihu, Berk, Michael, Bjedov, Sarah, Bobes, Julio, Bobes-Bascaran, Teresa, Bourgin-Duchesnay, Julie, Bredicean, Cristina Ana, Bukelskis, Laurynas, Burkadze, Akaki, Abud, Indira Indiana Cabrera, Castilla-Puentes, Ruby, Cetkovich, Marcelo, Colon-Rivera, Hector, Corral, Ricardo, Cortez-Vergara, Carla, Crepin, Piirika, De Berardis, Domenico, Delgado, Sergio Zamora, De Lucena, David, De Sousa, Avinash, Di Stefano, Ramona, Dodd, Seetal, Elek, Livia Priyanka, Elissa, Anna, Erdelyi-Hamza, Berta, Erzin, Gamze, Etchevers, Martin J., Falkai, Peter, Farcas, Adriana, Fedotov, Ilya, Filatova, Viktoriia, Fountoulakis, Nikolaos K., Frankova, Iryna, Franza, Francesco, Frias, Pedro, Galako, Tatiana, Garay, Cristian J., Garcia-Álvarez, Leticia, García-Portilla, Maria Paz, Gonda, Xenia, Gondek, Tomasz M., González, Daniela Morera, Gould, Hilary, Grandinetti, Paolo, Grau, Arturo, Groudeva, Violeta, Hagin, Michal, Harada, Takayuki, Hasan, Tasdik M., Hashim, Nurul Azreen, Hilbig, Jan, Hossain, Sahadat, Iakimova, Rossitza, Ibrahim, Mona, Iftene, Felicia, Ignatenko, Yulia, Irarrazaval, Matias, Ismail, Zaliha, Ismayilova, Jamila, Jacobs, Asaf, Jakovljević, Miro, Jakšić, Nenad, Javed, Afzal, Kafali, Helin Yilmaz, Karia, Sagar, Kazakova, Olga, Khalifa, Doaa, Khaustova, Olena, Koh, Steve, Kosenko, Korneliia, Koupidis, Sotirios A., Lalljee, Alisha, Liewig, Justine, Majid, Abdul, Malashonkova, Evgeniia, Malik, Khamelia, Malik, Najma Iqbal, Mammadzada, Gulay, Mandalia, Bilvesh, Marazziti, Donatella, Marčinko, Darko, Martinez, Stephanie, Matiekus, Eimantas, Mejia, Gabriela, Memon, Roha Saeed, Martínez, Xarah Elenne Meza, Mickevičiūtė, Dalia, Milev, Roumen, Mohammed, Muftau, Molina-López, Alejandro, Morozov, Petr, Muhammad, Nuru Suleiman, Mustač, Filip, Naor, Mika S., Nassieb, Amira, Navickas, Alvydas, Okasha, Tarek, Pandova, Milena, Panfil, Anca-Livia, Panteleeva, Liliya, Papava, Ion, Patsali, Mikaella E., Pavlichenko, Alexey, Pejuskovic, Bojana, Da Costa, Mariana Pinto, Popkov, Mikhail, Popovic, Dina, Raduan, Nor Jannah Nasution, Ramírez, Francisca Vargas, Rancans, Elmars, Razali, Salmi, Rebok, Federico, Rewekant, Anna, Flores, Elena Ninoska Reyes, Rivera-Encinas, María Teresa, Saiz, Pilar, de Carmona, Manuel Sánchez, Martínez, David Saucedo, Saw, Jo Anne, Saygili, Görkem, Schneidereit, Patricia, Shah, Bhumika, Shirasaka, Tomohiro, Silagadze, Ketevan, Sitanggang, Satti, Skugarevsky, Oleg, Spikina, Anna, Mahalingappa, Sridevi Sira, Stoyanova, Maria, Szczegielniak, Anna, Tamasan, Simona Claudia, Tavormina, Giuseppe, Tavormina, Maurilio Giuseppe Maria, Theodorakis, Pavlos N., Tohen, Mauricio, Tsapakis, Eva Maria, Tukhvatullina, Dina, Ullah, Irfan, Vaidya, Ratnaraj, Vega-Dienstmaier, Johann M., Vukovic, Olivera, Vysotska, Olga, Widiasih, Natalia, Yashikhina, Anna, and Smirnova, Daria
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- 2024
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3. The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study.
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Fountoulakis, Konstantinos N., Karakatsoulis, Grigorios N., Abraham, Seri, Adorjan, Kristina, Ahmed, Helal Uddin, Alarcón, Renato D., Arai, Kiyomi, Auwal, Sani Salihu, Berk, Michael, Bjedov, Sarah, Bobes, Julio, Bobes-Bascaran, Teresa, Bourgin-Duchesnay, Julie, Bredicean, Cristina Ana, Bukelskis, Laurynas, Burkadze, Akaki, Abud, Indira Indiana Cabrera, Castilla-Puentes, Ruby, Cetkovich, Marcelo, Colon-Rivera, Hector, Corral, Ricardo, Cortez-Vergara, Carla, Crepin, Piirika, De Berardis, Domenico, Delgado, Sergio Zamora, De Lucena, David, De Sousa, Avinash, Stefano, Ramona Di, Dodd, Seetal, Elek, Livia Priyanka, Elissa, Anna, Erdelyi-Hamza, Berta, Erzin, Gamze, Etchevers, Martin J., Falkai, Peter, Farcas, Adriana, Fedotov, Ilya, Filatova, Viktoriia, Fountoulakis, Nikolaos K., Frankova, Iryna, Franza, Francesco, Frias, Pedro, Galako, Tatiana, Garay, Cristian J., Garcia-Álvarez, Leticia, García-Portilla, Maria Paz, Gonda, Xenia, Gondek, Tomasz M., González, Daniela Morera, Gould, Hilary, Grandinetti, Paolo, Grau, Arturo, Groudeva, Violeta, Hagin, Michal, Harada, Takayuki, Hasan, Tasdik M., Hashim, Nurul Azreen, Hilbig, Jan, Hossain, Sahadat, Iakimova, Rossitza, Ibrahim, Mona, Iftene, Felicia, Ignatenko, Yulia, Irarrazaval, Matias, Ismail, Zaliha, Ismayilova, Jamila, Jacobs, Asaf, Jakovljević, Miro, Jakšić, Nenad, Javed, Afzal, Kafali, Helin Yilmaz, Karia, Sagar, Kazakova, Olga, Khalifa, Doaa, Khaustova, Olena, Koh, Steve, Kopishinskaia, Svetlana, Kosenko, Korneliia, Koupidis, Sotirios A., Kovacs, Illes, Kulig, Barbara, Lalljee, Alisha, Liewig, Justine, Majid, Abdul, Malashonkova, Evgeniia, Malik, Khamelia, Malik, Najma Iqbal, Mammadzada, Gulay, Mandalia, Bilvesh, Marazziti, Donatella, Marčinko, Darko, Martinez, Stephanie, Matiekus, Eimantas, Mejia, Gabriela, Memon, Roha Saeed, Martínez, Xarah Elenne Meza, Mickevičiūtė, Dalia, Milev, Roumen, Mohammed, Muftau, Molina-López, Alejandro, Morozov, Petr, Muhammad, Nuru Suleiman, Mustač, Filip, Naor, Mika S., Nassieb, Amira, Navickas, Alvydas, Okasha, Tarek, Pandova, Milena, Panfil, Anca-Livia, Panteleeva, Liliya, Papava, Ion, Patsali, Mikaella E., Pavlichenko, Alexey, Pejuskovic, Bojana, Da Costa, Mariana Pinto, Popkov, Mikhail, Popovic, Dina, Raduan, Nor Jannah Nasution, Ramírez, Francisca Vargas, Rancans, Elmars, Razali, Salmi, Rebok, Federico, Rewekant, Anna, Flores, Elena Ninoska Reyes, Rivera-Encinas, María Teresa, Saiz, Pilar, de Carmona, Manuel Sánchez, Martínez, David Saucedo, Saw, Jo Anne, Saygili, Görkem, Schneidereit, Patricia, Shah, Bhumika, Shirasaka, Tomohiro, Silagadze, Ketevan, Sitanggang, Satti, Skugarevsky, Oleg, Spikina, Anna, Mahalingappa, Sridevi Sira, Stoyanova, Maria, Szczegielniak, Anna, Tamasan, Simona Claudia, Tavormina, Giuseppe, Tavormina, Maurilio Giuseppe Maria, Theodorakis, Pavlos N., Tohen, Mauricio, Tsapakis, Eva Maria, Tukhvatullina, Dina, Ullah, Irfan, Vaidya, Ratnaraj, Vega-Dienstmaier, Johann M., Vrublevska, Jelena, Vukovic, Olivera, Vysotska, Olga, Widiasih, Natalia, Yashikhina, Anna, Prezerakos, Panagiotis E., and Smirnova, Daria
- Published
- 2022
- Full Text
- View/download PDF
4. Results of the COVID-19 mental health international for the general population (COMET-G) study
- Author
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Fountoulakis, Konstantinos N, Karakatsoulis, Grigorios, Abraham, Seri, Adorjan, Kristina, Ahmed, Helal Uddin, Alarcón, Renato D., Arai, Kiyomi, Auwal, Sani Salihu, Berk, Michael, Bjedov, Sarah, Bobes, Julio, Bobes-Bascaran, Teresa, Bourgin-Duchesnay, Julie, Bredicean, Cristina Ana, Bukelskis, Laurynas, Burkadze, Akaki, Abud, Indira Indiana Cabrera, Castilla-Puentes, Ruby, Cetkovich, Marcelo, Colon-Rivera, Hector, Corral, Ricardo, Cortez-Vergara, Carla, Crepin, Piirika, De Berardis, Domenico, Zamora Delgado, Sergio, De Lucena, David, De Sousa, Avinash, Stefano, Ramona Di, Dodd, Seetal, Elek, Livia Priyanka, Elissa, Anna, Erdelyi-Hamza, Berta, Erzin, Gamze, Etchevers, Martin J., Falkai, Peter, Farcas, Adriana, Fedotov, Ilya, Filatova, Viktoriia, Fountoulakis, Nikolaos K., Frankova, Iryna, Franza, Francesco, Frias, Pedro, Galako, Tatiana, Garay, Cristian J., Garcia-Álvarez, Leticia, García-Portilla, Maria Paz, Gonda, Xenia, Gondek, Tomasz M., González, Daniela Morera, Gould, Hilary, Grandinetti, Paolo, Grau, Arturo, Groudeva, Violeta, Hagin, Michal, Harada, Takayuki, Hasan, M. Tasdik, Hashim, Nurul Azreen, Hilbig, Jan, Hossain, Sahadat, Iakimova, Rossitza, Ibrahim, Mona, Iftene, Felicia, Ignatenko, Yulia, Irarrazaval, Matias, Ismail, Zaliha, Ismayilova, Jamila, Jacobs, Asaf, Jakovljević, Miro, Jakšić, Nenad, Javed, Afzal, Kafali, Helin Yilmaz, Karia, Sagar, Kazakova, Olga, Khalifa, Doaa, Khaustova, Olena, Koh, Steve, Kopishinskaia, Svetlana, Kosenko, Korneliia, Koupidis, Sotirios A., Kovacs, Illes, Kulig, Barbara, Lalljee, Alisha, Liewig, Justine, Majid, Abdul, Malashonkova, Evgeniia, Malik, Khamelia, Malik, Najma Iqbal, Mammadzada, Gulay, Mandalia, Bilvesh, Marazziti, Donatella, Marčinko, Darko, Martinez, Stephanie, Matiekus, Eimantas, Mejia, Gabriela, Memon, Roha Saeed, Martínez, Xarah Elenne Meza, Mickevičiūtė, Dalia, Milev, Roumen, Mohammed, Muftau, Molina-López, Alejandro, Morozov, Petr, Muhammad, Nuru Suleiman, Mustač, Filip, Naor, Mika S., Nassieb, Amira, Navickas, Alvydas, Okasha, Tarek, Pandova, Milena, Panfil, Anca-Livia, Panteleeva, Liliya, Papava, Ion, Patsali, Mikaella E., Pavlichenko, Alexey, Pejuskovic, Bojana, Pinto Da Costa, Mariana, Popkov, Mikhail, Popovic, Dina, Raduan, Nor Jannah Nasution, Ramírez, Francisca Vargas, Rancans, Elmars, Razali, Salmi, Rebok, Federico, Rewekant, Anna, Flores, Elena Ninoska Reyes, Rivera-Encinas, María Teresa, Saiz, Pilar, de Carmona, Manuel Sánchez, Martínez, David Saucedo, Saw, Jo Anne, Saygili, Görkem, Schneidereit, Patricia, Shah, Bhumika, Shirasaka, Tomohiro, Silagadze, Ketevan, Sitanggang, Satti, Skugarevsky, Oleg, Spikina, Anna, Mahalingappa, Sridevi Sira, Stoyanova, Maria, Szczegielniak, Anna, Tamasan, Simona Claudia, Tavormina, Giuseppe, Tavormina, Maurilio Giuseppe Maria, Theodorakis, Pavlos N., Tohen, Mauricio, Tsapakis, Eva Maria, Tukhvatullina, Dina, Ullah, Irfan, Vaidya, Ratnaraj, Vega-Dienstmaier, Johann M., Vrublevska, Jelena, Vukovic, Olivera, Vysotska, Olga, Widiasih, Natalia, Yashikhina, Anna, Prezerakos, Panagiotis E., and Smirnova, Daria
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- 2022
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5. Development of a bienzymatic amperometric biosensor to determine uric acid in human serum, based on mesoporous silica (MCM-41) for enzyme immobilization.
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Mundaca-Uribe, Rodolfo, Bustos-Ramírez, Francisca, Zaror-Zaror, Claudio, Aranda-Bustos, Mario, Neira-Hinojosa, Jose, and Peña-Farfal, Carlos
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AMPEROMETRIC sensors , *BIOSENSORS , *URIC acid , *SERUM , *MESOPOROUS materials , *SILICA , *IMMOBILIZED enzymes - Abstract
Abstract: The aim of this work is the development of a biosensor to determine uric acid on serum. The biosensor has been developed through enzymatic immobilization of uricase from Candida spp. and peroxidase from horseradish on mesoporous silica with hexagonal symmetry (MCM-41). The mesoporous material was immobilized by Nafion assisted adsorption on a glassy carbon electrode, which was used as working electrode. Measurements were performed in a conventional three electrodes cell. The biosensor configuration allowed a fast, sensitive and stable electrochemical detection of hydrogen peroxide generated by the enzyme reaction. All experimental variables involved in the preparation and performance of the enzyme biosensor were optimized. Amperometry in stirred solutions at −100mV provided a linear calibration plot for uric acid in the 2–10μM concentration range. Furthermore, the proposed biosensor showed excellent analytical performance with detection and quantification limits of 0.33μM and 2μM, respectively; analytical sensitivity of 3.908nAμM−1, repeatability <2.11% and a long-term stability of 14 days (daily measurements). The biosensor yielded good results in the determination of uric acid in spiked human serum samples. [Copyright &y& Elsevier]
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- 2014
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6. ThnY Is a Ferredoxin Reductase-like Iron-Sulfur Flavoprotein That Has Evolved to Function as a Regulator of Tetralin Biodegradation Gene Expression.
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García, Laura Ledesma, Rivas-Marín, Elena, Floriano, Belén, Bernhardt, Rita, Ewen, Kerstin Maria, Reyes-Ramírez, Francisca, and Santero, Eduardo
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FERREDOXIN-NADP reductase , *FLAVOPROTEINS , *GENETIC regulation , *TETRAHYDRONAPHTHALENE , *SPHINGOMONAS , *GENE expression , *PYRIDINE nucleotides - Abstract
Previous genetic studies in Sphingomonas macrogolitabida strain TFA have established that expression of genes involved in tetralin biodegradation (thn genes) requires the function of the LysR type activator ThnR and also ThnY. Sequence comparison indicated that ThnY is homologous to bacterial oxygenase-coupled NAD(P)H-dependent ferredoxin reductases. However, ThnY showed substitutions in highly conserved positions of the pyridine nucleotide binding domain of these ferredoxin reductases. ThnY expression is co-regulated with all other genes required for tetralin biodegradation, and presumably thnY is part of the thnCA3A4RY operon. ThnY has been purified, and its biochemical and functional properties were characterized. ThnY was found to be a monomeric orange-brown iron-sulfur flavoprotein (estimated mass of 37,000 Da) containing one non-covalently attached flavin adenine dinucleotide and one plant type ferredoxin 2Fe-2S cluster, It can be efficiently reduced by dithionite, but reduction by pyridine nucleotides was very poor. Consistently, ThnY-dependent reduction of cytochrome c, ferricyanide, or 2,6-dichlorophenolindophenol using NAD(P)H as the electron donor was undetectable or very weak. The addition of ThnY to electrophoretic mobility shift assays containing ThnR and a probe bearing two thn divergent promoters resulted in a 3-fold increase in protein-DNA complex formation affinity, which indicates that ThnY directly promotes thn transcription activation by ThnR. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
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