1
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Mimenza-Alvarado AJ, Arrieta O, Celis MA, Domínguez-Cherit J, Islas-Andrade S, Lifshitz A, Mansilla A, Martínez I, Moreno M, Reyes-Sánchez AA, Rocha-Arrieta LL, Ruiz-Argüelles GJ, Sotelo J, Verástegui E, Vilar-Compte D, Toussaint S. [Clinical research and the pharmaceutical industry]. GAC MED MEX 2023; 159. [PMID: 36857554 DOI: 10.24875/gmm.22000279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 03/03/2023] Open
Affiliation(s)
- Alberto J Mimenza-Alvarado
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Oscar Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Miguel A Celis
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Judith Domínguez-Cherit
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Sergio Islas-Andrade
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Alberto Lifshitz
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Armando Mansilla
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Iris Martínez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Mucio Moreno
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Alejandro A Reyes-Sánchez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Luisa L Rocha-Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Guillermo J Ruiz-Argüelles
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Julio Sotelo
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Emma Verástegui
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Diana Vilar-Compte
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
| | - Sonia Toussaint
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina, Ciudad de México, México
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2
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Islas-Andrade S, Rocha-Arrieta LL, Arrieta O, Celis MA, Domínguez-Cherit J, Lifshitz A, Mansilla-Olivares A, Martínez I, Mimenza-Alvarado AJ, Moreno M, Reyes-Sánchez A, Ruiz-Argüelles GJ, Soda-Merhy A, Sotelo J, Toussaint S, Vilar-Compte D, Verástegui E. Cannabinoides y su uso terapéutico. GAC MED MEX 2023. [DOI: 10.24875/gmm.22000184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
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3
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Ruiz-Argüelles GJ, Rocha-Arrieta LL, Arrieta O, Celis MA, Domínguez-Cherit J, Islas-Andrade S, Lifshitz A, Mansilla-Olivares A, Martínez I, Mimenza AJ, Moreno M, Reyes-Sánchez AA, Soda-Merhy A, Sotelo J, Toussaint S, Vilar-Compte D, Verástegui E. Some reflections about physicians' updating. GAC MED MEX 2023; 159:278-279. [PMID: 37699210 DOI: 10.24875/gmm.m23000791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/30/2023] [Indexed: 09/14/2023] Open
Affiliation(s)
- Guillermo J Ruiz-Argüelles
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Luisa L Rocha-Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Oscar Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Miguel A Celis
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Judith Domínguez-Cherit
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Sergio Islas-Andrade
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alberto Lifshitz
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Armando Mansilla-Olivares
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Iris Martínez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alberto José Mimenza
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Mucio Moreno
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alejandro A Reyes-Sánchez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Antonio Soda-Merhy
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Julio Sotelo
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Sonia Toussaint
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Diana Vilar-Compte
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Emma Verástegui
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
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4
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Islas-Andrade S, Rocha-Arrieta LL, Arrieta O, Celis MA, Domínguez-Cherit J, Lifshitz A, Mansilla-Olivares A, Martínez I, Mimenza AJ, Moreno M, Reyes-Sánchez AA, Ruiz-Argüelles GJ, Soda-Merhy A, Sotelo J, Toussaint S, Vilar-Compte D, Verástegui E. Cannabinoids and their therapeutic use. GAC MED MEX 2023; 159:1-2. [PMID: 36930563 DOI: 10.24875/gmm.m22000731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Affiliation(s)
- Sergio Islas-Andrade
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Luisa L Rocha-Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Oscar Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Miguel A Celis
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Judith Domínguez-Cherit
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alberto Lifshitz
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Armando Mansilla-Olivares
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Iris Martínez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alberto José Mimenza
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Mucio Moreno
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alejandro A Reyes-Sánchez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Guillermo J Ruiz-Argüelles
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Antonio Soda-Merhy
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Julio Sotelo
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Sonia Toussaint
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Diana Vilar-Compte
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Emma Verástegui
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
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5
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Mimenza-Alvarado AJ, Arrieta O, Celis MA, Domínguez-Cherit J, Islas-Andrade S, Lifshitz A, Mansilla A, Martínez I, Moreno M, Reyes-Sánchez AA, Rocha-Arrieta LL, Argüelles GJR, Sotelo J, Verástegui E, Vilar-Compte D, Toussaint S. Clinical research and the pharmaceutical industry. GAC MED MEX 2023; 159:89-90. [PMID: 37094241 DOI: 10.24875/gmm.m22000754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Affiliation(s)
- Alberto J Mimenza-Alvarado
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Oscar Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Miguel A Celis
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Judith Domínguez-Cherit
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Sergio Islas-Andrade
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alberto Lifshitz
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Armando Mansilla
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Iris Martínez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Mucio Moreno
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Alejandro A Reyes-Sánchez
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Luisa L Rocha-Arrieta
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Guillermo J Ruiz Argüelles
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Julio Sotelo
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Emma Verástegui
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Diana Vilar-Compte
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
| | - Sonia Toussaint
- Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Academia Nacional de Medicina de México, Mexico City, Mexico
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6
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Moreno M, Arrieta O, Celis MA, Domínguez J, Islas-Andrade S, Lifshitz A, Mansilla-Olivares A, Martínez I, Mimenza-Alvarado AJ, Reyes-Sánchez A, Ruiz-Argüelles GJ, Soda-Merhy A, Verástegui E, Rocha-Arrieta LL, Toussaint S, Vilar-Compte D, Sotelo J. Who judges medical practice? GAC MED MEX 2022; 158:332-334. [PMID: 36572021 DOI: 10.24875/gmm.m22000704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Lawsuits due to patient perception of inappropriate medical actions are a growing reality in medical practice, which entails widespread concern in the medical community. Lawsuits often entail additional circumstances beyond the primary concern of preventing or sanctioning acts of medical negligence. CETREMI proposes various recommendations aimed at legal and medical professionals to improve this circumstance and avoid harming the doctor-patient relationship.
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Affiliation(s)
- Mucio Moreno
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Oscar Arrieta
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Miguel A Celis
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Judith Domínguez
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Sergio Islas-Andrade
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Alberto Lifshitz
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Armando Mansilla-Olivares
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Iris Martínez
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Alberto J Mimenza-Alvarado
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Alejandro Reyes-Sánchez
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Guillermo J Ruiz-Argüelles
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Antonio Soda-Merhy
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Emma Verástegui
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Luisa L Rocha-Arrieta
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Sonia Toussaint
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Diana Vilar-Compte
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
| | - Julio Sotelo
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia en la Relación Médico-Industria (CETREMI), Mexico City, Mexico
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7
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Lifshitz A, Arrieta O, Celis MA, Domínguez-Cherit J, Islas-Andrade S, Mansilla-Olivares A, Martínez I, Mimenza-Alvarado AJ, Reyes-Sánchez AA, Rocha-Arrieta LL, Ruiz-Argüelles GJ, Soda-Merhy A, Sotelo-Morales J, Toussaint S, Vilar-Compte D, Verástegui E. Role of individual physicians in pharmacovigilance. GAC MED MEX 2022; 158:257-258. [PMID: 36572037 DOI: 10.24875/gmm.m22000692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Alberto Lifshitz
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Oscar Arrieta
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Miguel A Celis
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Judith Domínguez-Cherit
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Sergio Islas-Andrade
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Armando Mansilla-Olivares
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Iris Martínez
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Alberto J Mimenza-Alvarado
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Alejandro A Reyes-Sánchez
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Luisa L Rocha-Arrieta
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Guillermo J Ruiz-Argüelles
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Antonio Soda-Merhy
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Julio Sotelo-Morales
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Sonia Toussaint
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Diana Vilar-Compte
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
| | - Emma Verástegui
- Academia Nacional de Medicina de México, Comité de Ética y Transparencia Médica con la Industria Farmacéutica, Mexico City, Mexico
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8
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Moreno M, Arrieta O, Celis MA, Domínguez J, Islas-Andrade S, Lifshitz A, Mansilla-Olivares A, Martínez I, Mimenza-Alvarado AJ, Reyes-Sánchez A, Ruiz-Argüelles GJ, Soda-Merhy A, Verástegui E, Rocha-Arrieta LL, Toussaint S, Vilar-Compte D, Sotelo J. ¿Quién juzga la actuación médica? GAC MED MEX 2022. [DOI: 10.24875/gmm.22000210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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9
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Lifshitz A, Arrieta O, Celis MA, Domínguez-Cherit J, Islas-Andrade S, Mansilla-Olivares A, Martínez I, Mimenza-Alvarado AJ, Reyes-Sánchez A, Rocha-Arrieta LL, Ruiz-Argüelles GJ, Soda-Merhy A, Sotelo J, Toussaint S, Vilar-Compte D, Verástegui E. El papel de los médicos individuales en la farmacovigilancia. GAC MED MEX 2022. [DOI: 10.24875/gmm.22000125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang YC, Chen YDI, Cheng CY, Choi WJ, Chowdhury R, Contreras-Cubas C, Córdova EJ, Correa A, Cupples LA, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla ME, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando ME, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung YJ, Hwang MY, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HM, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim BJ, Kim RW, Kim YJ, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SH, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LW, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon JY, Moreno-Macías H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJ, Park KS, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo JS, Sim X, Sladek R, Small KS, So WY, Stilp AM, Tai ES, Tam CHT, Taylor KD, Teo YY, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusié-Luna T, Udler MS, van Dam RM, Vasan RS, Viaud Martinez KA, Wang FF, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong TY, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet 2022; 109:81-96. [PMID: 34932938 PMCID: PMC8764201 DOI: 10.1016/j.ajhg.2021.11.021] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/21/2021] [Indexed: 01/14/2023] Open
Abstract
Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.
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Affiliation(s)
- George Hindy
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Population Medicine, Qatar University College of Medicine, QU Health, Doha, Qatar
| | - Peter Dornbos
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Mark D Chaffin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Minxian Wang
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Margaret Sunitha Selvaraj
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - David Zhang
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph Park
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Lucinda Antonacci-Fulton
- Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Diego Ardissino
- ASTC: Associazione per lo Studio Della Trombosi in Cardiologia, Pavia, Italy; Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Universitˆ, degli Studi di Parma, Parma, Italy
| | - Donna K Arnett
- Dean's Office, College of Public Health, University of Kentucky, Lexington, KY 40536, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Gil Atzmon
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; University of Haifa, Faculty of Natural Science, Haifa, Israel
| | - Christie M Ballantyne
- Houston Methodist Debakey Heart and Vascular Center, Houston, TX 77030, USA; Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 49109, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lori L Bonnycastle
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Erwin Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Matthew J Bown
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Jai G Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Noël P Burtt
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | - Edmund Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Yi-Cheng Chang
- Institute of Biomedical Sciences, Academia Sinica, Taiwan
| | - Yii-Der I Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Ching-Yu Cheng
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Won Jung Choi
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Rajiv Chowdhury
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Centre for Non-Communicable Disease Research, Bangladesh
| | | | | | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA; NHLBI Framingham Heart Study, Framingham, MA 01702, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; The National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics at the University of Cambridge, Cambridge, UK
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ralph A DeFronzo
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA
| | - Harsha Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Susan K Dutcher
- Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Leslie S Emery
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 770030, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Valentin Fuster
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Ma Eugenia Garay-Sevilla
- Department of Medical Science, Division of Health Science, University of Guanajuato, Guanajuanto, Mexico
| | | | | | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research, Neuherberg, Germany
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Clicerio Gonzalez
- Unidad de Diabetes y Riesgo Cardiovascular, Instituto Nacional de Salud Pœblica, Cuernavaca, Morelos, Mexico
| | | | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Sarah E Graham
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leif C Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden; Finnish Institute for Molecular Genetics, University of Helsinki, Helsinki, Finland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Sohee Han
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA; Tulane University Translational Science Institute, New Orleans, LA 70112, USA
| | - Nancy L Heard-Costa
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Yi-Jen Hung
- Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan Branch, Taipei, Taiwan
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, UAB, Birmingham, AL 35294, USA
| | - Sergio Islas-Andrade
- Dirección de Investigación, Hospital General de México "Dr. Eduardo Liceaga," Secretaría de Salud, Mexico City, Mexico
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle, WA 98195, USA
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 49109, USA
| | - Tanika Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Eimear E Kenny
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alyna T Khan
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Ryan W Kim
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Heikki A Koistinen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland; University of Helsinki and Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98103, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, University of Eastern Finland, and Kuopio University Hospital, Kuopio, Finland
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Markku Laakso
- Institute of Clinical Medicine, University of Eastern Finland, and Kuopio University Hospital, Kuopio, Finland
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jiwon Lee
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Juyoung Lee
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Seonwook Lee
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Donna M Lehman
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jianjun Liu
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Ruth J F Loos
- Charles R. Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Steven A Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden; University of Bergen, Bergen, Norway
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Lisa Warsinger Martin
- Division of Cardiology, Department of Medicine, George Washington University, Washington, DC 20037, USA
| | | | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Stephen T McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI 02912, USA
| | - Ruth McPherson
- Ruddy Canadian Cardiovascuar Genetics Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; General Medicine Division, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Thomas Meitinger
- Deutsches Forschungszentrum fŸr Herz-Kreislauferkrankungen, Partner Site Munich Heart Alliance, Munich, Germany; Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Olle Melander
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden; Department of Emergency and Internal Medicine, SkŒne University Hospital, Malmö, Sweden
| | | | - Ginger A Metcalf
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xuenan Mi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - May E Montasser
- University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, Baltimore, MD 21201, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Jeffrey R O'Connell
- University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, Baltimore, MD 21201, USA
| | | | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Cheol Joo Park
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Juan M Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 49109, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Michael Preuss
- Charles R. Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98101, USA; Department of Health Services, University of Washington, Seattle, WA 98101, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Nilesh Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Technische UniversitŠt München, Deutsches Zentrum fŸr Herz-Kreislauf-Forschung, München, Germany
| | - Claudia Schurmann
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany; Charles R. Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daekwan Seo
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Jeong-Sun Seo
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Rob Sladek
- Department of Human Genetics, McGill University, Montreal, QC, Canada; Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, QC, Canada; McGill University and Génome Québec Innovation Centre, Montreal, QC, Canada
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Duke-NUS Medical School Singapore, Singapore
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore; Life Sciences Institute, National University of Singapore, Singapore
| | - Farook Thameem
- Department of Biochemistry, Faculty of Medicine, Health Science Center, Kuwait University, Safat, Kuwait
| | - Brian Tomlinson
- Faculty of Medicine, Macau University of Science & Technology, Macau, China
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Tiinamaija Tuomi
- Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Centre, Helsinki, Finland; Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Teresa Tusié-Luna
- Instituto Nacional de Ciencias Medicas y Nutricion, Mexico City, Mexico; Departamento de Medicina Genómica y Toxicología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México/ Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Miriam S Udler
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Ramachandran S Vasan
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA; Departments of Medicine & Epidemiology, Boston University Schools of Medicine & Public Health, Boston, MA 02118, USA
| | | | - Fei Fei Wang
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Xuzhi Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Hugh Watkins
- Cardiovascular Medicine, Radcliffe Department of Medicine and the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Daniel E Weeks
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus, Denmark
| | - Tien-Yin Wong
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Verve Therapeutics, Cambridge, MA 02139, USA
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Cristen J Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Jason A Flannick
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Amit V Khera
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
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11
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Mendoza-Caamal EC, Barajas-Olmos F, Mirzaeicheshmeh E, Ilizaliturri-Flores I, Aguilar-Salinas CA, Gómez-Velasco DV, Cicerón-Arellano I, Reséndiz-Rodríguez A, Martínez-Hernández A, Contreras-Cubas C, Islas-Andrade S, Zerrweck C, García-Ortiz H, Orozco L. Two novel variants in DYRK1B causative of AOMS3: expanding the clinical spectrum. Orphanet J Rare Dis 2021; 16:291. [PMID: 34193236 PMCID: PMC8247206 DOI: 10.1186/s13023-021-01924-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 06/20/2021] [Indexed: 12/28/2022] Open
Abstract
Background We investigated pathogenic DYRK1B variants causative of abdominal obesity-metabolic syndrome 3 (AOMS3) in a group of patients originally diagnosed with type 2 diabetes. All DYRK1B exons were analyzed in a sample of 509 unrelated adults with type 2 diabetes and 459 controls, all belonging to the DMS1 SIGMA-cohort (ExAC). We performed in silico analysis on missense variants using Variant Effect Predictor software. To evaluate co-segregation, predicted pathogenic variants were genotyped in other family members. We performed molecular dynamics analysis for the co-segregating variants. Results After filtering, Mendelian genotypes were confirmed in two probands bearing two novel variants, p.Arg252His and p.Lys68Gln. Both variants co-segregated with the AOMS3 phenotype in classic dominant autosomal inheritance with full penetrance. In silico analysis revealed impairment of the DYRK1B protein function by both variants. For the first time, we describe age-dependent variable expressivity of this entity, with central obesity and insulin resistance apparent in childhood; morbid obesity, severe hypertriglyceridemia, and labile type 2 diabetes appearing before 40 years of age; and hypertension emerging in the fifth decade of life. We also report the two youngest individuals suffering from AOMS3. Conclusions Monogenic forms of metabolic diseases could be misdiagnosed and should be suspected in families with several affected members and early-onset metabolic phenotypes that are difficult to control. Early diagnostic strategies and medical interventions, even before symptoms or complications appear, could be useful. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-01924-z.
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Affiliation(s)
| | - Francisco Barajas-Olmos
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico
| | - Elaheh Mirzaeicheshmeh
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico
| | | | - Carlos A Aguilar-Salinas
- Metabolic Diseases Research Unit, National Institute of Medical Science and Nutrition Salvador Zubirán, Mexico City, Mexico.,Department of Endocrinology and Metabolism, National Institute of Medical Science and Nutrition Salvador Zubirán, Mexico City, Mexico.,Direction of Nutrition, National Institute of Medical Science and Nutrition Salvador Zubirán, Mexico City, Mexico.,School of Medicine and Health Sciences, Monterrey Institute of Technology, Mexico City, Mexico
| | - Donaji V Gómez-Velasco
- Metabolic Diseases Research Unit, National Institute of Medical Science and Nutrition Salvador Zubirán, Mexico City, Mexico.,Department of Endocrinology and Metabolism, National Institute of Medical Science and Nutrition Salvador Zubirán, Mexico City, Mexico.,Direction of Nutrition, National Institute of Medical Science and Nutrition Salvador Zubirán, Mexico City, Mexico.,School of Medicine and Health Sciences, Monterrey Institute of Technology, Mexico City, Mexico
| | | | | | - Angélica Martínez-Hernández
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico
| | - Cecilia Contreras-Cubas
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico
| | - Sergio Islas-Andrade
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico
| | - Carlos Zerrweck
- Integral Clinic of Surgery for Obesity and Metabolic Diseases, General Hospital Tláhuac, SS, Mexico City, Mexico
| | - Humberto García-Ortiz
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico
| | - Lorena Orozco
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS. Periférico Sur 4809, Colonia Arenal Tepepan, Alcaldía Tlalpan, C.P. 14610, Mexico City, Mexico.
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12
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Goodrich JK, Singer-Berk M, Son R, Sveden A, Wood J, England E, Cole JB, Weisburd B, Watts N, Caulkins L, Dornbos P, Koesterer R, Zappala Z, Zhang H, Maloney KA, Dahl A, Aguilar-Salinas CA, Atzmon G, Barajas-Olmos F, Barzilai N, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Centeno-Cruz F, Chambers JC, Chami N, Chan E, Chan J, Cheng CY, Cho YS, Contreras-Cubas C, Córdova E, Correa A, DeFronzo RA, Duggirala R, Dupuis J, Garay-Sevilla ME, García-Ortiz H, Gieger C, Glaser B, González-Villalpando C, Gonzalez ME, Grarup N, Groop L, Gross M, Haiman C, Han S, Hanis CL, Hansen T, Heard-Costa NL, Henderson BE, Hernandez JMM, Hwang MY, Islas-Andrade S, Jørgensen ME, Kang HM, Kim BJ, Kim YJ, Koistinen HA, Kooner JS, Kuusisto J, Kwak SH, Laakso M, Lange L, Lee JY, Lee J, Lehman DM, Linneberg A, Liu J, Loos RJF, Lyssenko V, Ma RCW, Martínez-Hernández A, Meigs JB, Meitinger T, Mendoza-Caamal E, Mohlke KL, Morris AD, Morrison AC, Ng MCY, Nilsson PM, O'Donnell CJ, Orozco L, Palmer CNA, Park KS, Post WS, Pedersen O, Preuss M, Psaty BM, Reiner AP, Revilla-Monsalve C, Rich SS, Rotter JI, Saleheen D, Schurmann C, Sim X, Sladek R, Small KS, So WY, Spector TD, Strauch K, Strom TM, Tai ES, Tam CHT, Teo YY, Thameem F, Tomlinson B, Tracy RP, Tuomi T, Tuomilehto J, Tusié-Luna T, van Dam RM, Vasan RS, Wilson JG, Witte DR, Wong TY, Burtt NP, Zaitlen N, McCarthy MI, Boehnke M, Pollin TI, Flannick J, Mercader JM, O'Donnell-Luria A, Baxter S, Florez JC, MacArthur DG, Udler MS. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes. Nat Commun 2021; 12:3505. [PMID: 34108472 PMCID: PMC8190084 DOI: 10.1038/s41467-021-23556-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 04/27/2021] [Indexed: 11/16/2022] Open
Abstract
Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.
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Affiliation(s)
- Julia K Goodrich
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Moriel Singer-Berk
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rachel Son
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Abigail Sveden
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jordan Wood
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eleina England
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joanne B Cole
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ben Weisburd
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nick Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lizz Caulkins
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter Dornbos
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan Koesterer
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zachary Zappala
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Haichen Zhang
- School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Kristin A Maloney
- School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Andy Dahl
- Department of Neurology, UCLA, Los Angeles, CA, USA
| | | | - Gil Atzmon
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
- Faculty of Natural Science, University of Haifa, Haifa, Israel
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | | | - Nir Barzilai
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Lori L Bonnycastle
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erwin Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Donald W Bowden
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Edmund Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Juliana Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Chuncheon, South Korea
| | | | - Emilio Córdova
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Ralph A DeFronzo
- Department of Medicine, University of Texas Health San Antonio (aka University of Texas Health Science Center at San Antonio), San Antonio, TX, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ma Eugenia Garay-Sevilla
- Department of Medical Science, División of Health Science, University of Guanjuato. Campus León. León, Guanjuato, Mexico
| | | | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Clicerio González-Villalpando
- Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Instituto Nacional de Salud Publica, Cuernavaca, Mexico
| | | | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Genetics Finland, University of Helsinki, Helsinki, Finland
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Sohee Han
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nancy L Heard-Costa
- Boston University and National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Juan Manuel Malacara Hernandez
- Department of Medical Science, División of Health Science, University of Guanjuato. Campus León. León, Guanjuato, Mexico
| | - Mi Yeong Hwang
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | | | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Greenland Centre for Health Research, University of Greenland, Nuuk, Greenland
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Bong-Jo Kim
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Young Jin Kim
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Heikki A Koistinen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
- University of Helsinki and Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Jaspal Singh Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Soo-Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Jong-Young Lee
- Oneomics Soonchunhyang Mirae Medical Center, Bucheon-si Gyeonggi-do, Republic of Korea
| | - Juyoung Lee
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Donna M Lehman
- Department of Medicine, University of Texas Health San Antonio (aka University of Texas Health Science Center at San Antonio), San Antonio, TX, USA
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark
| | - Jianjun Liu
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Valeriya Lyssenko
- Centro de Estudios en Diabetes, Mexico City, Mexico
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | | | - James B Meigs
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | | | - Karen L Mohlke
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Andrew D Morris
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Maggie C Y Ng
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Peter M Nilsson
- Department of Clinical Sciences, Medicine, Lund University, Malmö, Sweden
| | - Christopher J O'Donnell
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Section of Cardiology, Department of Medicine, VA Boston Healthcare, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
- Intramural Administration Management Branch, National Heart Lung and Blood Institute, NIH, Framingham, MA, USA
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, University of Dundee, Dundee, UK
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Research Institute, Seattle, WA, USA
| | | | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Danish Saleheen
- Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Digital Health Center, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Rob Sladek
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, QC, Canada
- McGill University and Génome Québec Innovation Centre, Montreal, QC, Canada
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Informatics Biometry and Epidemiology, Ludwig-Maximilians University, Munich, Germany
| | - Tim M Strom
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
| | - Farook Thameem
- Department of Biochemistry, Faculty of Medicine, Health Science Center, Kuwait University, Safat, Kuwait
| | - Brian Tomlinson
- Faculty of Medicine, Macau University of Science & Technology, Macau, China
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, The Robert Larner M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Biochemistry, The Robert Larner M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - Tiinamaija Tuomi
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Genetics Finland, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
- Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Clinical and Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Medicina Genómica y Toxiología Ambiental, Instituto de Investigaciones Biomédicas, UNAM, Mexico City, Mexico
| | - Rob M van Dam
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Ramachandran S Vasan
- Boston University and National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Preventive Medicine & Epidemiology, and Cardiovascular Medicine, Medicine, Boston University School of Medicine, and Epidemiology, Boston University School of Public health, Boston, MA, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Noël P Burtt
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Noah Zaitlen
- Department of Neurology, UCLA, Los Angeles, CA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Toni I Pollin
- School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Josep M Mercader
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Samantha Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Centre for Population Genomics, Garvan Institute of Medical Research, UNSW Sydney, Sydney, NSW, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Miriam S Udler
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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13
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Méndez-García LA, Cid-Soto M, Aguayo-Guerrero JA, Carrero-Aguirre M, Trejo-Millán F, Islas-Andrade S, Fragoso JM, Olivos-García A, Escobedo G. Low Serum Interleukin-6 Is a Differential Marker of Obesity-Related Metabolic Dysfunction in Women and Men. J Interferon Cytokine Res 2020; 40:131-138. [PMID: 31944871 DOI: 10.1089/jir.2019.0149] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
There is scant information regarding the role of interleukin (IL)-6 in obesity-related metabolic dysfunction in humans. Thus, we studied the serum levels of IL-6 in normal weight, overweight, and obese subjects, and examined associations of IL-6 with hyperglycemia, insulin resistance, dyslipidemia, and systemic inflammation. One hundred three women and men were included in the study. Anthropometric parameters, blood glucose, insulin, total cholesterol, and triglycerides were measured. Serum levels of tumor necrosis factor-alpha (TNF-alpha), IL-10, and IL-6 were measured by enzyme-linked immunosorbent assay (ELISA). One-way analysis of variance (ANOVA) showed a 2.5-fold significant decrease in serum IL-6 in overweight and obese individuals when compared with normal weight controls. Serum IL-6 exhibited significant inverse correlations with body mass index (r = -0.39/P < 0.0001), waist circumference (r = -0.42/P < 0.001), blood glucose (r = -0.40/P < 0.0001), triglycerides (r = -0.34/P < 0.0001), and TNF-alpha (r = -0.48/P < 0.0001), whereas a strongly positive correlation was found with IL-10 (r = 0.77/P < 0.0001). Multiple linear regression analysis revealed that behavior of IL-6 was mainly influenced by IL-10 (beta = 0.28/P = 1.95 × 10-6), TNF-alpha (beta = -0.67/P = 0.0017), and body fat percentage (beta = -5.95/P = 7.67 × 10-5) in women. In contrast, IL-10 (beta = 0.37/P = 1.34 × 10-9), TNF-alpha (beta = -0.85/P = 0.0005), and triglycerides (beta = 1.07/P = 0.0007) were major influencing factors of IL-6 in men. This study demonstrates that IL-6 is a marker of metabolic dysfunction that is differentially regulated in obese women and men. [Figure: see text].
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Affiliation(s)
- Lucia A Méndez-García
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
| | - Miguel Cid-Soto
- Immunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, SS, Mexico City, Mexico
| | - José A Aguayo-Guerrero
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
| | - Miguel Carrero-Aguirre
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
| | - Fernanda Trejo-Millán
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
| | - Sergio Islas-Andrade
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
| | - José M Fragoso
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Alfonso Olivos-García
- Unit of Experimental Medicine, School of Medicine, Universidad Nacional Autónoma de México, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
| | - Galileo Escobedo
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga," Mexico City, Mexico
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14
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León-Moreno LC, Saldaña-Cruz AM, Sánchez-Corona J, Mendoza-Carrera F, García-Zapién AG, Revilla-Monsalve C, Islas-Andrade S, Brito-Zurita O, Pérez-Vargas A, Flores-Martínez SE. Distribution of potential risk alleles and haplotypes of the CYP2C9 and CYP2C19 genes in Mexican native populations: A comparative study among Amerindian populations. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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15
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Méndez-García LA, Trejo-Millán F, Martínez-Reyes CP, Manjarrez-Reyna AN, Esquivel-Velázquez M, Melendez-Mier G, Islas-Andrade S, Rojas-Bernabé A, Kzhyshkowska J, Escobedo G. Infliximab ameliorates tumor necrosis factor-alpha-induced insulin resistance by attenuating PTP1B activation in 3T3L1 adipocytes in vitro. Scand J Immunol 2018; 88:e12716. [PMID: 30260514 DOI: 10.1111/sji.12716] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 08/27/2018] [Accepted: 09/02/2018] [Indexed: 02/06/2023]
Abstract
Insulin resistance is the inability to respond to insulin and is considered a key pathophysiological factor in the development of type 2 diabetes. Tumor necrosis factor-alpha (TNF-alpha) can directly contribute to insulin resistance by disrupting the insulin signalling pathway via protein-tyrosine phosphatase 1B (PTP1B) activation, especially in adipocytes. Infliximab (Remicade® ) is a TNF-alpha-neutralizing antibody that has not been fully studied in insulin resistance. We investigated the effect of infliximab on TNF-alpha-induced insulin resistance in 3T3L1 adipocytes in vitro, and examined the possible molecular mechanisms involved. Once differentiated, adipocytes were cultured with 5 mmol L-1 2-deoxy-D-glucose-3 H and stimulated twice with 2 μmol L-1 insulin, in the presence or absence of 5 ng/mL TNF-alpha and/or 10 ng/mL infliximab. Glucose uptake was measured every 20 minutes for 2 hour, and phosphorylated forms of insulin receptor (IR), insulin receptor substrate-2 (IRS-2), protein kinase B (AKT) and PTP1B were determined by Western blotting. TNF-alpha-treated adipocytes showed a significant 64% decrease in insulin-stimulated glucose uptake as compared with control cells, whereas infliximab reversed TNF-alpha actions by significantly improving glucose incorporation. Although IR phosphorylation remained unaltered, TNF-alpha was able to increase PTP1B activation and decrease phosphorylation of IRS-2 and AKT. Notably, infliximab restored phosphorylation of IRS-2 and AKT by attenuating PTP1B activation. This work demonstrates for the first time that infliximab ameliorates TNF-alpha-induced insulin resistance in 3T3L1 adipocytes in vitro by restoring the insulin signalling pathway via PTP1B inhibition. Further clinical research is needed to determine the potential benefit of using infliximab for treating insulin resistance in patients.
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Affiliation(s)
- Lucia A Méndez-García
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Fernanda Trejo-Millán
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Camilo P Martínez-Reyes
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Aarón N Manjarrez-Reyna
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Marcela Esquivel-Velázquez
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Guillermo Melendez-Mier
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Sergio Islas-Andrade
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
| | - Araceli Rojas-Bernabé
- Research Unit for Experimental Medicine, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Julia Kzhyshkowska
- Department of Innate Immunity and Tolerance, Institute of Transfusion Medicine and Immunology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Galileo Escobedo
- Laboratory for Proteomics and Metabolomics, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City, Mexico
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16
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Martínez-Reyes CP, Gómez-Arauz AY, Torres-Castro I, Manjarrez-Reyna AN, Palomera LF, Olivos-García A, Mendoza-Tenorio E, Sánchez-Medina GA, Islas-Andrade S, Melendez-Mier G, Escobedo G. Serum Levels of Interleukin-13 Increase in Subjects with Insulin Resistance but Do Not Correlate with Markers of Low-Grade Systemic Inflammation. J Diabetes Res 2018; 2018:7209872. [PMID: 29675435 PMCID: PMC5841096 DOI: 10.1155/2018/7209872] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/07/2017] [Accepted: 12/18/2017] [Indexed: 12/29/2022] Open
Abstract
Experimental evidence in mice suggests a role for interleukin- (IL-) 13 in insulin resistance and low-grade systemic inflammation. However, IL-13 serum levels have not been assessed in subjects with insulin resistance, and associations of IL-13 with parameters of low-grade systemic inflammation are still unknown. Our main goal was to examine the systemic levels of IL-13 in patients with insulin resistance, while also studying the relationship of IL-13 with anthropometric, metabolic, and low-grade systemic inflammatory markers. Ninety-two participants were included in the study and divided into insulin-resistant patients and noninsulin-resistant controls. Blood levels of IL-13, glucose, insulin, triglycerides, cholesterol, tumor necrosis factor-alpha (TNF-α), IL-10, proinflammatory (Mon-CD11c+CD206-), and anti-inflammatory (Mon-CD11c-CD206+) monocytes, as well as anthropometric parameters, were measured in all volunteers. Insulin-resistant patients showed 2.5-fold higher serum levels of IL-13 than controls (P < 0.0001) and significantly increased values of TNF-α and Mon-CD11c+CD206-, with concomitant reductions in IL-10 and Mon-CD11c-CD206+. Increased IL-13 was extraordinarily well associated with hyperglycemia (r = 0.7362) and hypertriglyceridemia (r = 0.7632) but unexpectedly exhibited no significant correlations with TNF-α (r = 0.2907), IL-10 (r = -0.3882), Mon-CD11c+CD206- (r = 0.2745) or Mon-CD11c-CD206+ (r = -0.3237). This study demonstrates that IL-13 serum levels are elevated in patients with insulin resistance without showing correlation with parameters of low-grade systemic inflammation.
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Affiliation(s)
- Camilo P. Martínez-Reyes
- Unit of Experimental Medicine, School of Medicine, National University of Mexico, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - Angélica Y. Gómez-Arauz
- Unit of Experimental Medicine, School of Medicine, National University of Mexico, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - Israel Torres-Castro
- Unit of Experimental Medicine, School of Medicine, National University of Mexico, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - Aarón N. Manjarrez-Reyna
- Unit of Experimental Medicine, School of Medicine, National University of Mexico, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - León F. Palomera
- Unit of Experimental Medicine, School of Medicine, National University of Mexico, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - Alfonso Olivos-García
- Departamento de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, 04510 México, DF, Mexico
| | - Edith Mendoza-Tenorio
- Departamento de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, 04510 México, DF, Mexico
| | | | - Sergio Islas-Andrade
- Research Division, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - Guillermo Melendez-Mier
- Research Division, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
| | - Galileo Escobedo
- Unit of Experimental Medicine, School of Medicine, National University of Mexico, General Hospital of Mexico “Dr. Eduardo Liceaga”, 06726 Mexico City, Mexico
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17
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Mercader JM, Liao RG, Bell AD, Dymek Z, Estrada K, Tukiainen T, Huerta-Chagoya A, Moreno-Macías H, Jablonski KA, Hanson RL, Walford GA, Moran I, Chen L, Agarwala V, Ordoñez-Sánchez ML, Rodríguez-Guillen R, Rodríguez-Torres M, Segura-Kato Y, García-Ortiz H, Centeno-Cruz F, Barajas-Olmos F, Caulkins L, Puppala S, Fontanillas P, Williams AL, Bonàs-Guarch S, Hartl C, Ripke S, Tooley K, Lane J, Zerrweck C, Martínez-Hernández A, Córdova EJ, Mendoza-Caamal E, Contreras-Cubas C, González-Villalpando ME, Cruz-Bautista I, Muñoz-Hernández L, Gómez-Velasco D, Alvirde U, Henderson BE, Wilkens LR, Le Marchand L, Arellano-Campos O, Riba L, Harden M, Gabriel S, Abboud HE, Cortes ML, Revilla-Monsalve C, Islas-Andrade S, Soberon X, Curran JE, Jenkinson CP, DeFronzo RA, Lehman DM, Hanis CL, Bell GI, Boehnke M, Blangero J, Duggirala R, Saxena R, MacArthur D, Ferrer J, McCarroll SA, Torrents D, Knowler WC, Baier LJ, Burtt N, González-Villalpando C, Haiman CA, Aguilar-Salinas CA, Tusié-Luna T, Flannick J, Jacobs SBR, Orozco L, Altshuler D, Florez JC. A Loss-of-Function Splice Acceptor Variant in IGF2 Is Protective for Type 2 Diabetes. Diabetes 2017; 66:2903-2914. [PMID: 28838971 PMCID: PMC5652606 DOI: 10.2337/db17-0187] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 08/13/2017] [Indexed: 12/12/2022]
Abstract
Type 2 diabetes (T2D) affects more than 415 million people worldwide, and its costs to the health care system continue to rise. To identify common or rare genetic variation with potential therapeutic implications for T2D, we analyzed and replicated genome-wide protein coding variation in a total of 8,227 individuals with T2D and 12,966 individuals without T2D of Latino descent. We identified a novel genetic variant in the IGF2 gene associated with ∼20% reduced risk for T2D. This variant, which has an allele frequency of 17% in the Mexican population but is rare in Europe, prevents splicing between IGF2 exons 1 and 2. We show in vitro and in human liver and adipose tissue that the variant is associated with a specific, allele-dosage-dependent reduction in the expression of IGF2 isoform 2. In individuals who do not carry the protective allele, expression of IGF2 isoform 2 in adipose is positively correlated with both incidence of T2D and increased plasma glycated hemoglobin in individuals without T2D, providing support that the protective effects are mediated by reductions in IGF2 isoform 2. Broad phenotypic examination of carriers of the protective variant revealed no association with other disease states or impaired reproductive health. These findings suggest that reducing IGF2 isoform 2 expression in relevant tissues has potential as a new therapeutic strategy for T2D, even beyond the Latin American population, with no major adverse effects on health or reproduction.
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Affiliation(s)
- Josep M Mercader
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Barcelona Supercomputing Center, Joint BSC-CRG-IRB Research Programme in Computational Biology, Barcelona, Spain
| | - Rachel G Liao
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Avery D Bell
- Department of Genetics, Harvard Medical School, Boston, MA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Zachary Dymek
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Karol Estrada
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Taru Tukiainen
- Department of Genetics, Harvard Medical School, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA
| | - Alicia Huerta-Chagoya
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Universidad Autónoma Metropolitana, Mexico City, Mexico
| | | | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Geoffrey A Walford
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Ignasi Moran
- Department of Medicine, Imperial College London, London, U.K
| | - Ling Chen
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Vineeta Agarwala
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - María Luisa Ordoñez-Sánchez
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Rosario Rodríguez-Guillen
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Maribel Rodríguez-Torres
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Yayoi Segura-Kato
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | | | | | - Lizz Caulkins
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Sobha Puppala
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Pierre Fontanillas
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Amy L Williams
- Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY
| | - Sílvia Bonàs-Guarch
- Barcelona Supercomputing Center, Joint BSC-CRG-IRB Research Programme in Computational Biology, Barcelona, Spain
| | - Chris Hartl
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Katherine Tooley
- Department of Genetics, Harvard Medical School, Boston, MA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Jacqueline Lane
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Carlos Zerrweck
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Tláhuac, Mexico City, Mexico
| | | | | | | | | | - María E González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | - Ivette Cruz-Bautista
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Liliana Muñoz-Hernández
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Donaji Gómez-Velasco
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Ulises Alvirde
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Loic Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Olimpia Arellano-Campos
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Laura Riba
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Maegan Harden
- The Genomics Platform, Broad Institute, Cambridge, MA
| | | | | | | | - Hanna E Abboud
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | | | - Cristina Revilla-Monsalve
- Unidad de Investigación Médica en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Sergio Islas-Andrade
- Unidad de Investigación Médica en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Xavier Soberon
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX
| | - Christopher P Jenkinson
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX
| | - Ralph A DeFronzo
- Division of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Donna M Lehman
- Departments of Medicine and Cellular & Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Craig L Hanis
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX
| | - Graeme I Bell
- Department of Medicine, The University of Chicago, Chicago, IL
- Department of Human Genetics, The University of Chicago, Chicago, IL
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI
| | - John Blangero
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Daniel MacArthur
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jorge Ferrer
- Department of Medicine, Imperial College London, London, U.K
- Genomic Programming of Beta Cells and Diabetes, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- CIBERDEM, Barcelona, Spain
| | - Steven A McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - David Torrents
- Barcelona Supercomputing Center, Joint BSC-CRG-IRB Research Programme in Computational Biology, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - William C Knowler
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Noel Burtt
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Clicerio González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | | | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Jason Flannick
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Molecular Biology, Harvard Medical School, Boston, MA
| | - Suzanne B R Jacobs
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - David Altshuler
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Genetics, Harvard Medical School, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Molecular Biology, Harvard Medical School, Boston, MA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA
| | - Jose C Florez
- Broad Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
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Sueiras P, Romano-Betech V, Vergil-Salgado A, de Hoyos A, Quintana-Vargas S, Ruddick W, Castro-Santana A, Islas-Andrade S, Altamirano-Bustamante NF, Altamirano-Bustamante MM. Today´s medical self and the other: Challenges and evolving solutions for enhanced humanization and quality of care. PLoS One 2017; 12:e0181514. [PMID: 28759585 PMCID: PMC5536364 DOI: 10.1371/journal.pone.0181514] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Accepted: 07/03/2017] [Indexed: 11/18/2022] Open
Abstract
Background Recent scientific developments, along with growing awareness of cultural and social diversity, have led to a continuously growing range of available treatment options; however, such developments occasionally lead to an undesirable imbalance between science, technology and humanism in clinical practice. This study explores the understanding and practice of values and value clusters in real-life clinical settings, as well as their role in the humanization of medicine and its institutions. The research focuses on the values of clinical practice as a means of finding ways to enhance the pairing of Evidence-Based Medicine (EBM) with Values-based Medicine (VBM) in daily practice. Methods and findings The views and representations of clinical practice in 15 pre-CME and 15 post-CME interviews were obtained from a random sampling of active healthcare professionals. These views were then identified and qualitatively analyzed using a three-step hermeneutical approach. A clinical values space was identified in which ethical and epistemic values emerge, grow and develop within the biomedical, ethical, and socio-economic dimensions of everyday health care. Three main values—as well as the dynamic clusters and networks that they tend to form—were recognized: healthcare personnel-patient relationships, empathy, and respect. An examination of the interviews suggested that an adequate conceptualization of values leads to the formation of a wider axiological system. The role of clinician-as-consociate emerged as an ideal for achieving medical excellence. Conclusions By showing the intricate clusters and networks into which values are interwoven, our analysis suggests methods for fine-tuning educational interventions so they can lead to demonstrable changes in attitudes and practices.
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Affiliation(s)
- Perla Sueiras
- Grupo Transfuncional en Etica Clínica, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, Mexico
| | - Victoria Romano-Betech
- Grupo Transfuncional en Etica Clínica, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, Mexico
| | - Alejandro Vergil-Salgado
- Grupo Transfuncional en Etica Clínica, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, Mexico
| | - Adalberto de Hoyos
- CIECAS, Instituto Politécnico Nacional, Lauro Aguirre 120, Agricultura, Miguel Hidalgo, Ciudad de México, México
| | - Silvia Quintana-Vargas
- Instituto de Salud Pública del Estado de Guanajuato, Tamazuca 4, Centro, Guanajuato, México
| | - William Ruddick
- Center for Bioethics, New York University, New York, NY, United States of America
| | - Anaclara Castro-Santana
- National Research Council for Science and Technology (CONACYT), Ciudad de México, México
- Instituto Nacional de Pediatría, Secretaría de Salud, Insurgentes Sur 3700, Insurgentes Cuicuilco, Ciudad de México, México
| | - Sergio Islas-Andrade
- Grupo Transfuncional en Etica Clínica, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, Mexico
- Unidad de Investigación de Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, México
| | - Nelly F. Altamirano-Bustamante
- Instituto Nacional de Pediatría, Secretaría de Salud, Insurgentes Sur 3700, Insurgentes Cuicuilco, Ciudad de México, México
- * E-mail: (NFAB); (MMAB)
| | - Myriam M. Altamirano-Bustamante
- Grupo Transfuncional en Etica Clínica, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, Mexico
- Unidad de Investigación de Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, IMSS, Doctores, Ciudad de México, México
- * E-mail: (NFAB); (MMAB)
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19
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Islas-Andrade S, Pérez-Vargas A, Juárez-Pérez R, Flores-Martínez S, Gallardo-Hernández A, García-Zapién A, Sánchez-Corona J, Revilla-Monsalve C. Acculturation impact on some metabolic parameters of the Lacandon communities from Chiapas. Revista Médica del Hospital General de México 2017. [DOI: 10.1016/j.hgmx.2016.09.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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20
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De la Chesnaye E, Manuel-Apolinar L, Oviedo-de Anda N, Revilla-Monsalve MC, Islas-Andrade S. [Gender differences in lipocalin 2 plasmatic levels are correlated with age and the triglyceride/high-density lipoprotein ratio in healthy individuals]. GAC MED MEX 2016; 152:612-617. [PMID: 27792695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023] Open
Abstract
INTRODUCTION The increment of lipocalin 2, also called neutrophil gelatinase-associated lipocalin, plasmatic levels is associated with cardiometabolic and nefrologic alterations. Nonetheless, there is much controversy about lipocalin 2 plasmatic concentrations among healthy individuals. AIM The aim of this study was to quantify lipocalin 2 in plasma of healthy men and women and to assess a possible correlation with cardiometabolic risk factors. METHODS Fifty-three subjects (24 men and 29 women) were included. By means of an ELISA, a higher concentration of lipocalin 2 was observed in men than in women (91 ± 9 vs. 57 ± 7 ng/ml). Such difference was statistically significant (p < 0.0001). RESULTS Lipocalin 2 levels were significantly correlated with body mass index, homeostasis model assessment index-insulin resistance index, triglycerides, high-density lipoprotein, and age. CONCLUSION Lipocalin 2 plasmatic concentrations present a gender-specific profile in healthy subjects and its circulating levels appear to be age-dependent and associated with several cardiometabolic risk factors, including the triglycerides/high-density lipoprotein cholesterol ratio, which has proven to be a reliable marker for cardiometabolic risk among the global population.
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Affiliation(s)
- Elsa De la Chesnaye
- Research Unit in Metabolic Diseases, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico
| | - Leticia Manuel-Apolinar
- Research Unit in Endocrine Diseases, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico
| | - Norma Oviedo-de Anda
- Research Unit in Metabolic Diseases, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico
| | | | - Sergio Islas-Andrade
- Research Unit in Metabolic Diseases, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico
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21
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Gallardo-Hernandez AG, Hernandez-Perez AL, Ordoñez-Espinosa G, Sanchez-Lopez A, Revilla-Monsalve C, Islas-Andrade S. Clinical testing of propofol geriatic dose for sedation designed via in silico trial. Comput Methods Programs Biomed 2016; 132:21-7. [PMID: 27282224 DOI: 10.1016/j.cmpb.2016.04.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/07/2016] [Accepted: 04/19/2016] [Indexed: 05/22/2023]
Abstract
The geriatric population shows significant physiological changes due to aging and the multiple co-morbidities that they often present. Conventionally the propofol sedation dose for patients older than 65 years is 80% of the adult dose. We performed an in silico trial for elderly population and the results showed that the necessary simulated dose of propofol was lower than the conventional dose; therefore, a clinical trial was implemented to test three different propofol doses, two of them lower than the conventional dose, during a pacemaker implantation. The clinical trial showed that there was no clinical difference between the effects of the doses. A BIS monitor was used to measure the level of sedation, which proved to be adequate and well maintained by all patients. All the patients maintained an acceptable level of sedation, measured by a BIS monitor. Since propofol has some dose-dependent secondary effects, the use of lower doses, especially the ones designed for this age group, helps to avoid them.
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Affiliation(s)
| | - Ana Luisa Hernandez-Perez
- Research Center in Metabolic Diseases, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico.
| | | | | | - Cristina Revilla-Monsalve
- Research Center in Metabolic Diseases, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Sergio Islas-Andrade
- Research Center in Metabolic Diseases, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
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22
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Velázquez-López L, Muñoz-Torres AV, García-Peña C, López-Alarcón M, Islas-Andrade S, Escobedo-de la Peña J. Fiber in Diet Is Associated with Improvement of Glycated Hemoglobin and Lipid Profile in Mexican Patients with Type 2 Diabetes. J Diabetes Res 2016; 2016:2980406. [PMID: 27144178 PMCID: PMC4842057 DOI: 10.1155/2016/2980406] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Revised: 02/26/2016] [Accepted: 03/21/2016] [Indexed: 12/23/2022] Open
Abstract
Objective. To assess the association of dietary fiber on current everyday diet and other dietary components with glycated hemoglobin levels (HbA1c), glucose, lipids profile, and body weight body weight, in patients with type 2 diabetes. Methods. A cross-sectional survey of 395 patients with type 2 diabetes was performed. HbA1c, fasting glucose, triglycerides, and lipids profile were measured. Weight, waist circumference, blood pressure, and body composition were measured. Everyday diet with a semiquantitative food frequency questionnaire was evaluated. ANOVA, Kruskal-Wallis, chi-square tests and multivariate logistic regression were used in statistical analysis. Results. Higher fiber intake was associated with a low HbA1c, high HDL-c levels, low weight, and waist circumference. The highest tertile of calories consumption was associated with a higher fasting glucose level and weight. The highest tertile of carbohydrate consumption was associated with a lower weight. The lowest tertile of total fat and saturated fat was associated with the highest tertile of HDL-c levels, and lower saturated fat intake was associated with lower weight (p < 0.05). Conclusions. A higher content of fiber in the diet reduces HbA1c and triglycerides, while improving HDL-c levels. Increasing fiber consumption while lowering calorie consumption seems to be an appropriate strategy to reduce body weight and promote blood glucose control.
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Affiliation(s)
- Lubia Velázquez-López
- Unidad de Investigación en Epidemiología Clínica, Hospital “Carlos MacGregor Sánchez Navarro”, Instituto Mexicano del Seguro Social, Avenida Gabriel Mancera No. 222, Colonia del Valle, Delegación Bénito Juárez, 03100 Ciudad de México, Mexico
| | - Abril Violeta Muñoz-Torres
- Departamento de Salud Pública, Facultad de Medicina, Universidad Nacional Autónoma de México, 6 Piso, Edificio B, Circuito Interior, Ciudad Universitaria, Avenida Universidad 3000, Ciudad de México, Mexico
| | - Carmen García-Peña
- Departamento de Investigación, Instituto Nacional de Geriatría, Periférico sur No. 2767, Colonia San Jerónimo Lídice, Delegación Magdalena Contreras, 10200 Ciudad de México, Mexico
| | - Mardia López-Alarcón
- Unidad de Investigación Médica en Nutrición, Hospital de Pediatría, Centro Medico Nacional “Siglo XXI”, Instituto Mexicano del Seguro Social, Avenida Cuauhtémoc 300, Colonia Doctores, Delegación Cuauhtemoc, 06720 Ciudad de México, Mexico
| | - Sergio Islas-Andrade
- Unidad de Investigación Científica de Endocrinología, Diabetes y Metabolismo, y de Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Avenida Cuauhtémoc 300, Colonia Doctores, Delegación Cuauhtemoc, 06720 Ciudad de México, Mexico
| | - Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital “Carlos MacGregor Sánchez Navarro”, Instituto Mexicano del Seguro Social, Avenida Gabriel Mancera No. 222, Colonia del Valle, Delegación Bénito Juárez, 03100 Ciudad de México, Mexico
- *Jorge Escobedo-de la Peña:
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23
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Sablón-Carrazana M, Fernández I, Bencomo A, Lara-Martínez R, Rivera-Marrero S, Domínguez G, Pérez-Perera R, Jiménez-García LF, Altamirano-Bustamante NF, Diaz-Delgado M, Vedrenne F, Rivillas-Acevedo L, Pasten-Hidalgo K, Segura-Valdez MDL, Islas-Andrade S, Garrido-Magaña E, Perera-Pintado A, Prats-Capote A, Rodríguez-Tanty C, Altamirano-Bustamante MM. Drug Development in Conformational Diseases: A Novel Family of Chemical Chaperones that Bind and Stabilise Several Polymorphic Amyloid Structures. PLoS One 2015; 10:e0135292. [PMID: 26327208 PMCID: PMC4556714 DOI: 10.1371/journal.pone.0135292] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 07/20/2015] [Indexed: 11/18/2022] Open
Abstract
The increasing prevalence of conformational diseases, including Alzheimer's disease, type 2 Diabetes Mellitus and Cancer, poses a global challenge at many different levels. It has devastating effects on the sufferers as well as a tremendous economic impact on families and the health system. In this work, we apply a cross-functional approach that combines ideas, concepts and technologies from several disciplines in order to study, in silico and in vitro, the role of a novel chemical chaperones family (NCHCHF) in processes of protein aggregation in conformational diseases. Given that Serum Albumin (SA) is the most abundant protein in the blood of mammals, and Bovine Serum Albumin (BSA) is an off-the-shelf protein available in most labs around the world, we compared the ligandability of BSA:NCHCHF with the interaction sites in the Human Islet Amyloid Polypeptide (hIAPP):NCHCHF, and in the amyloid pharmacophore fragments (Aβ17-42 and Aβ16-21):NCHCHF. We posit that the merging of this interaction sites is a meta-structure of pharmacophore which allows the development of chaperones that can prevent protein aggregation at various states from: stabilizing the native state to destabilizing oligomeric state and protofilament. Furthermore to stabilize fibrillar structures, thus decreasing the amount of toxic oligomers in solution, as is the case with the NCHCHF. The paper demonstrates how a set of NCHCHF can be used for studying and potentially treating the various physiopathological stages of a conformational disease. For instance, when dealing with an acute phase of cytotoxicity, what is needed is the recruitment of cytotoxic oligomers, thus chaperone F, which accelerates fiber formation, would be very useful; whereas in a chronic stage it is better to have chaperones A, B, C, and D, which stabilize the native and fibril structures halting self-catalysis and the creation of cytotoxic oligomers as a consequence of fiber formation. Furthermore, all the chaperones are able to protect and recondition the cerebellar granule cells (CGC) from the cytotoxicity produced by the hIAPP20-29 fragment or by a low potassium medium, regardless of their capacity for accelerating or inhibiting in vitro formation of fibers. In vivo animal experiments are required to study the impact of chemical chaperones in cognitive and metabolic syndromes.
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Affiliation(s)
- Marquiza Sablón-Carrazana
- Dpto. Neurodiagnóstico, Centro de Neurociencias de Cuba, Cubanacán, Playa, La Habana, Cuba
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
| | - Isaac Fernández
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, México D.F., México
| | - Alberto Bencomo
- Dpto. Neurodiagnóstico, Centro de Neurociencias de Cuba, Cubanacán, Playa, La Habana, Cuba
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
| | - Reyna Lara-Martínez
- Laboratorio de Nanobiología Celular, Departamento de Biología Celular, Facultad de Ciencias, UNAM, México D.F., México
| | | | | | - Rafaela Pérez-Perera
- Dpto. Neurodiagnóstico, Centro de Neurociencias de Cuba, Cubanacán, Playa, La Habana, Cuba
| | - Luis Felipe Jiménez-García
- Laboratorio de Nanobiología Celular, Departamento de Biología Celular, Facultad de Ciencias, UNAM, México D.F., México
| | | | - Massiel Diaz-Delgado
- Dpto. Neurodiagnóstico, Centro de Neurociencias de Cuba, Cubanacán, Playa, La Habana, Cuba
| | - Fernand Vedrenne
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
| | - Lina Rivillas-Acevedo
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
| | - Karina Pasten-Hidalgo
- Servicio de Endocrinología, Instituto Nacional de Pediatría, SS, México D.F., México
- Cátedra Conacyt, México D.F., México
| | | | - Sergio Islas-Andrade
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
| | | | | | | | - Chryslaine Rodríguez-Tanty
- Dpto. Neurodiagnóstico, Centro de Neurociencias de Cuba, Cubanacán, Playa, La Habana, Cuba
- * E-mail: (CR-T); (MMA-B)
| | - Myriam M. Altamirano-Bustamante
- Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México D.F., México
- * E-mail: (CR-T); (MMA-B)
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24
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Rodríguez-Ramírez M, Simental-Mendía LE, González-Ortiz M, Martínez-Abundis E, Madero A, Brito-Zurita O, Pérez-Fuentes R, Revilla-Monsalve C, Islas-Andrade S, Rodríguez-Morán M, Guerrero-Romero F. Prevalence of Prehypertension in Mexico and Its Association With Hypomagnesemia. Am J Hypertens 2015; 28:1024-30. [PMID: 25618517 DOI: 10.1093/ajh/hpu293] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2014] [Accepted: 12/15/2014] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Prehypertension (preHTN) increases the risk of developing hypertension. The objectives of this study were to estimate the prevalence of preHTN in the Mexican adult population and evaluate the association between hypomagnesemia and preHTN. METHODS This study was a 2-phase, population-based study. In the first phase, 4,272 Mexican adults (aged 20-65 years) were enrolled to determine the prevalence of preHTN. In the second phase, a cross-sectional analysis was performed to evaluate the association between hypomagnesemia and preHTN. The exclusion criteria were chronic diarrhea, malignancy, hepatic and renal diseases, chronic inflammatory disease, and the intake of magnesium supplements. PreHTN was defined as a systolic blood pressure (BP) of 120-139 mm Hg and/or diastolic BP of 80-89 mm Hg, and hypomagnesemia was defined as a serum magnesium concentration <1.8 mg/dl. RESULTS The prevalence of preHTN was 37.5% (95% confidence interval (CI): 36.0-39.0): 46.7% were men (95% CI: 44.1-49.4) and 33.2% (95% CI: 31.5-5.0) were women. The serum magnesium data were available for 921 participants. Hypomagnesemia was identified in 276 (30.0%; 95% CI: 27.1-33.0) subjects; of them, 176 (63.8%; 95% CI: 58.3-69.6) had preHTN. Individuals with preHTN exhibited lower magnesium levels than individuals without preHTN (1.78±0.36 vs. 1.95±0.37, P < 0.0005). A multiple logistic regression analysis (adjusted for age, sex, smoking, body mass index, waist circumference, fasting glucose, total cholesterol, high-density lipoprotein cholesterol, and triglycerides levels) indicated a significant association between hypomagnesemia and preHTN (odds ratio = 1.78; 95% CI: 1.5-4.0, P < 0.0005). CONCLUSIONS The prevalence of preHTN in the Mexican population is 37.5%, and hypomagnesemia is strongly associated with preHTN.
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Affiliation(s)
- Mariana Rodríguez-Ramírez
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Luis E Simental-Mendía
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Manuel González-Ortiz
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México; Institute of Experimental and Clinical Therapeutics, Department of Physiology, Health Science University Center, University of Guadalajara, Guadalajara, Mexico
| | - Esperanza Martínez-Abundis
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México; Institute of Experimental and Clinical Therapeutics, Department of Physiology, Health Science University Center, University of Guadalajara, Guadalajara, Mexico
| | - Agustín Madero
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Olga Brito-Zurita
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Ricardo Pérez-Fuentes
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Cristina Revilla-Monsalve
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Sergio Islas-Andrade
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Martha Rodríguez-Morán
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México
| | - Fernando Guerrero-Romero
- The Multidisciplinary Research Group on Diabetes of the Mexican Social Security Institute, Durango, Dgo, México;
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Calleja-Sordo EC, de Hoyos A, Méndez-Jiménez J, Altamirano-Bustamante NF, Islas-Andrade S, Valderrama A, García-Peña C, Altamirano-Bustamante MM. Novel ethical dilemmas arising in geriatric clinical practice. Med Health Care Philos 2015; 18:229-236. [PMID: 25185872 DOI: 10.1007/s11019-014-9593-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The purpose of this study is to determine empirically the state of the art of the medical care, when healthcare personal is confronted with ethical dilemmas related with the care they give to the geriatric population. An observational, longitudinal, prospective and qualitative study was conducted by analyzing the correlation between healthcare personnel-patient relationship, and ethical judgments regarding dilemmas that arise in daily clinical practice with geriatric patients. Mexican healthcare personnel with current active practices were asked to write up an ethical dilemma that arose frequently or that had impacted their medical practice. From the narrative input, we were able to draw up a database with 421 dilemmas, and those corresponding to patients 60 years and older were selected (n = 54, 12.8 %). The axiological analysis of the narrative dilemmas of geriatric patients was made using dialectical empiricism. The axiological analysis values found most frequently were classified into three groups: the impact of healthcare, the roles of the physician, and refusal of therapy; the healthcare role of educator, caring for the patients' life and the risk of imminent death where the values found more often. The persistence and universality of certain dilemmas in geriatrics calls for awareness and requires a good training in the ethical discernment of these dilemmas. This would help to improve substantially the care and the life quality of this population.
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Affiliation(s)
- Elisa Constanza Calleja-Sordo
- Grupo transfuncional en ética clínica, Centro Médico Nacional Siglo XXI, IMSS, Av. Cuauhtémoc 330, Col. Doctores, 06720, Mexico, D.F., Mexico
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26
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De la Chesnaye E, Manuel-Apolinar L, Zarate A, Damasio L, Espino N, Revilla-Monsalve MC, Islas-Andrade S. Lipocalin-2 plasmatic levels are reduced in patients with long-term type 2 diabetes mellitus. Int J Clin Exp Med 2015; 8:2853-2859. [PMID: 25932245 PMCID: PMC4402892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 01/21/2015] [Indexed: 06/04/2023]
Abstract
BACKGROUND De-regulation of adipocytokines synthesis and secretion appears to be involved in the pathogenesis of different metabolic diseases. AIMS We assessed a possible association between plasmatic levels of lipocalin-2 (LCN2) and type 2 diabetes mellitus (T2DM), as well as among levels of LCN2 and those of adiponectin, ghrelin, leptin and resistin, in Mexican diabetic patients. SUBJECTS AND METHODS Fifty-three healthy individuals and fifty-three with long-term T2DM were included. Measurements from all patients for BMI, fasting glucose, insulin, lipids and adipocytokine profiles were obtained. RESULTS Comparison of data between the corresponding for diabetic subjects and those of healthy individuals showed significant differences in every anthropometric and metabolic parameter analyzed (P < 0.001). In diabetic subjects, lipocalin-2 and ghrelin plasmatic levels were statistically diminished (P < 0.001) in comparison with the levels registered in healthy subjects. In conclusion, in this study we found that LCN2 plasmatic levels are reduced in Mexican subjects with long-term diabetes and this reduction in circulating concentrations is similar to the one reported for anti-inflammatory adipocytokines, which suggests that lipocalin-2 is somehow involved in insulin resistance and cardiometabolic alterations through an uncharacterized mechanism generated by the inflammation process.
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Affiliation(s)
- Elsa De la Chesnaye
- Cardiovascular and Metabolic Diseases Research Unit, National Medical Center, Instituto Mexicano del Seguro Social México
| | - Leticia Manuel-Apolinar
- Endocrine Research Unit, National Medical Center, Instituto Mexicano del Seguro Social México
| | - Arturo Zarate
- Endocrine Research Unit, National Medical Center, Instituto Mexicano del Seguro Social México
| | - Leticia Damasio
- Endocrine Research Unit, National Medical Center, Instituto Mexicano del Seguro Social México
| | - Nancy Espino
- Cardiovascular and Metabolic Diseases Research Unit, National Medical Center, Instituto Mexicano del Seguro Social México
| | | | - Sergio Islas-Andrade
- Cardiovascular and Metabolic Diseases Research Unit, National Medical Center, Instituto Mexicano del Seguro Social México
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Estrada K, Aukrust I, Bjørkhaug L, Burtt NP, Mercader JM, García-Ortiz H, Huerta-Chagoya A, Moreno-Macías H, Walford G, Flannick J, Williams AL, Gómez-Vázquez MJ, Fernandez-Lopez JC, Martínez-Hernández A, Jiménez-Morales S, Centeno-Cruz F, Mendoza-Caamal E, Revilla-Monsalve C, Islas-Andrade S, Córdova EJ, Soberón X, González-Villalpando ME, Henderson E, Wilkens LR, Le Marchand L, Arellano-Campos O, Ordóñez-Sánchez ML, Rodríguez-Torres M, Rodríguez-Guillén R, Riba L, Najmi LA, Jacobs SBR, Fennell T, Gabriel S, Fontanillas P, Hanis CL, Lehman DM, Jenkinson CP, Abboud HE, Bell GI, Cortes ML, Boehnke M, González-Villalpando C, Orozco L, Haiman CA, Tusié-Luna T, Aguilar-Salinas CA, Altshuler D, Njølstad PR, Florez JC, MacArthur DG. Association of a low-frequency variant in HNF1A with type 2 diabetes in a Latino population. JAMA 2014; 311:2305-14. [PMID: 24915262 PMCID: PMC4425850 DOI: 10.1001/jama.2014.6511] [Citation(s) in RCA: 175] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
IMPORTANCE Latino populations have one of the highest prevalences of type 2 diabetes worldwide. OBJECTIVES To investigate the association between rare protein-coding genetic variants and prevalence of type 2 diabetes in a large Latino population and to explore potential molecular and physiological mechanisms for the observed relationships. DESIGN, SETTING, AND PARTICIPANTS Whole-exome sequencing was performed on DNA samples from 3756 Mexican and US Latino individuals (1794 with type 2 diabetes and 1962 without diabetes) recruited from 1993 to 2013. One variant was further tested for allele frequency and association with type 2 diabetes in large multiethnic data sets of 14,276 participants and characterized in experimental assays. MAIN OUTCOME AND MEASURES Prevalence of type 2 diabetes. Secondary outcomes included age of onset, body mass index, and effect on protein function. RESULTS A single rare missense variant (c.1522G>A [p.E508K]) was associated with type 2 diabetes prevalence (odds ratio [OR], 5.48; 95% CI, 2.83-10.61; P = 4.4 × 10(-7)) in hepatocyte nuclear factor 1-α (HNF1A), the gene responsible for maturity onset diabetes of the young type 3 (MODY3). This variant was observed in 0.36% of participants without type 2 diabetes and 2.1% of participants with it. In multiethnic replication data sets, the p.E508K variant was seen only in Latino patients (n = 1443 with type 2 diabetes and 1673 without it) and was associated with type 2 diabetes (OR, 4.16; 95% CI, 1.75-9.92; P = .0013). In experimental assays, HNF-1A protein encoding the p.E508K mutant demonstrated reduced transactivation activity of its target promoter compared with a wild-type protein. In our data, carriers and noncarriers of the p.E508K mutation with type 2 diabetes had no significant differences in compared clinical characteristics, including age at onset. The mean (SD) age for carriers was 45.3 years (11.2) vs 47.5 years (11.5) for noncarriers (P = .49) and the mean (SD) BMI for carriers was 28.2 (5.5) vs 29.3 (5.3) for noncarriers (P = .19). CONCLUSIONS AND RELEVANCE Using whole-exome sequencing, we identified a single low-frequency variant in the MODY3-causing gene HNF1A that is associated with type 2 diabetes in Latino populations and may affect protein function. This finding may have implications for screening and therapeutic modification in this population, but additional studies are required.
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Affiliation(s)
| | - Karol Estrada
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts2Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston3Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Ingvild Aukrust
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway6Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Lise Bjørkhaug
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway5Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Noël P Burtt
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Josep M Mercader
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts7Center for Human Genetic Research and Diabetes Research Center (Diabetes Unit), Massachusetts General Hospital, Boston8Joint BSC-CRG-IRB Research Prog
| | | | - Alicia Huerta-Chagoya
- Instituto de Investigaciones Biomédicas, UNAM Unidad de Biología Molecular y Medicina Genómica, UNAM/INCMNSZ, Coyoacán, Mexico City, Mexico
| | | | - Geoffrey Walford
- Department of Medicine, Harvard Medical School, Boston, Massachusetts7Center for Human Genetic Research and Diabetes Research Center (Diabetes Unit), Massachusetts General Hospital, Boston
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts13Department of Molecular Biology, Harvard Medical School, Boston, Massachusetts
| | - Amy L Williams
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts14Department of Biological Sciences, Columbia University, New York, New York
| | - María J Gómez-Vázquez
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | | | | | | | | | | | - Cristina Revilla-Monsalve
- Unidad de Investigación Médica en Enfermedades Metabólicas, CMN SXXI, Instituto Mexicano del Seguro Social, Mexico City
| | - Sergio Islas-Andrade
- Unidad de Investigación Médica en Enfermedades Metabólicas, CMN SXXI, Instituto Mexicano del Seguro Social, Mexico City
| | - Emilio J Córdova
- Instituto Nacional de Medicina Genómica, Tlalpan, Mexico City, Mexico
| | - Xavier Soberón
- Instituto Nacional de Medicina Genómica, Tlalpan, Mexico City, Mexico
| | - María E González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Mexico City, Mexico
| | - E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu
| | - Olimpia Arellano-Campos
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | - Maria L Ordóñez-Sánchez
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | - Maribel Rodríguez-Torres
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | - Rosario Rodríguez-Guillén
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | - Laura Riba
- Instituto de Investigaciones Biomédicas, UNAM Unidad de Biología Molecular y Medicina Genómica, UNAM/INCMNSZ, Coyoacán, Mexico City, Mexico
| | - Laeya A Najmi
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway23Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Suzanne B R Jacobs
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Timothy Fennell
- The Genomics Platform, The Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Stacey Gabriel
- The Genomics Platform, The Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Pierre Fontanillas
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Craig L Hanis
- Human Genetics Center, University of Texas Health Science Center at Houston
| | - Donna M Lehman
- Department of Medicine, University of Texas Health Science Center at San Antonio
| | | | - Hanna E Abboud
- Department of Medicine, University of Texas Health Science Center at San Antonio
| | - Graeme I Bell
- Department of Human Genetics, University of Chicago, Chicago, Illinois28Department of Medicine, University of Chicago, Chicago, Illinois
| | - Maria L Cortes
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Michael Boehnke
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor
| | - Clicerio González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Mexico City, Mexico
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Tlalpan, Mexico City, Mexico
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
| | - Teresa Tusié-Luna
- Instituto de Investigaciones Biomédicas, UNAM Unidad de Biología Molecular y Medicina Genómica, UNAM/INCMNSZ, Coyoacán, Mexico City, Mexico17Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, Mexico City, Mexico
| | - David Altshuler
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts3Department of Medicine, Harvard Medical School, Boston, Massachusetts7Center for Human Genetic Research and Diabetes Research Center (Diabetes Unit)
| | - Pål R Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway5Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts3Department of Medicine, Harvard Medical School, Boston, Massachusetts7Center for Human Genetic Research and Diabetes Research Center (Diabetes Unit)
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts3Department of Medicine, Harvard Medical School, Boston, Massachusetts
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Castro-Martínez XH, Leal-Cortés C, Flores-Martínez SE, García-Zapién AG, Sánchez-Corona J, Portilla-de Buen E, Gómez-Espinel I, Zamora-Ginez I, Pérez-Fuentes R, Islas-Andrade S, Revilla-Monsalve C, Guerrero-Romero F, Rodríguez-Morán M, Mendoza-Carrera F. Tumor necrosis factor haplotype diversity in Mestizo and native populations of Mexico. ACTA ACUST UNITED AC 2014; 83:247-59. [PMID: 24517517 DOI: 10.1111/tan.12300] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 12/06/2013] [Accepted: 01/06/2014] [Indexed: 11/30/2022]
Abstract
The so-called tumor necrosis factor (TNF) block includes the TNFA, lymphotoxin alpha and beta (LTA and LTB) genes with single-nucleotide polymorphisms (SNP) and microsatellites with an allele frequency that exhibits interpopulation variability. To date, no reports have included both SNPs and microsatellites at the TNF block to study Mestizo or Amerindian populations from Mexico. In this study, samples of five Mexican Mestizo populations (Durango, Guadalajara, Monterrey, Puebla, and Tierra Blanca) and four native-Mexican populations (North Lacandonians, South Lacandonians, Tepehuanos, and Yaquis) were genotyped for two SNPs (LTA+252A>G and TNFA-308G>A) and four microsatellites (TNFa, d, e, and f), to analyze the genetic substructure of the Mexican population. Allele and haplotype frequencies, linkage disequilibrium (LD), and interpopulation genetic relationships were calculated. There was significant LD along almost all of the TNF block but the lowest D' values were observed for the TNFf-TNFd pair. Mestizos showed higher allele and haplotype diversity than did natives. The genetic differentiation level was reduced among Mestizos; however, a slightly, but significant genetic substructure was observed between northern and southern Mexican Mestizos. Among the Amerindian populations, the genetic differentiation level was significantly elevated, particularly in both North and South Lacandonians. Furthermore, among Southern Lacandonians, inhabitants of Lacanja town were the most differentiated from all the Mexicans analyzed. The data presented here will serve as a reference for further population and epidemiological studies including these TNF polymorphisms in the Mexican population.
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Affiliation(s)
- X H Castro-Martínez
- Molecular Medicine Division, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Mexico; Doctorate Program in Human Genetics, Universidad de Guadalajara, Guadalajara, Mexico
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Altamirano-Bustamante MM, Altamirano-Bustamante NF, Lifshitz A, Mora-Magaña I, de Hoyos A, Avila-Osorio MT, Quintana-Vargas S, Aguirre JA, Méndez J, Murata C, Nava-Diosdado R, Martínez-González O, Calleja E, Vargas R, Mejía-Arangure JM, Cortez-Domínguez A, Vedrenne-Gutiérrez F, Sueiras P, Garduño J, Islas-Andrade S, Salamanca F, Kumate-Rodríguez J, Reyes-Fuentes A. Promoting networks between evidence-based medicine and values-based medicine in continuing medical education. BMC Med 2013; 11:39. [PMID: 23414220 PMCID: PMC3606451 DOI: 10.1186/1741-7015-11-39] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2012] [Accepted: 02/15/2013] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND In recent years, medical practice has followed two different paradigms: evidence-based medicine (EBM) and values-based medicine (VBM). There is an urgent need to promote medical education that strengthens the relationship between these two paradigms. This work is designed to establish the foundations for a continuing medical education (CME) program aimed at encouraging the dialogue between EBM and VBM by determining the values relevant to everyday medical activities. METHODS A quasi-experimental, observational, comparative, prospective and qualitative study was conducted by analyzing through a concurrent triangulation strategy the correlation between healthcare personnel-patient relationship, healthcare personnel's life history, and ethical judgments regarding dilemmas that arise in daily clinical practice.In 2009, healthcare personnel working in Mexico were invited to participate in a free, online clinical ethics course. Each participant responded to a set of online survey instruments before and after the CME program. Face-to-face semi-structured interviews were conducted with healthcare personnel, focusing on their views and representations of clinical practice. RESULTS The healthcare personnel's core values were honesty and respect. There were significant differences in the clinical practice axiology before and after the course (P <0.001); notably, autonomy climbed from the 10th (order mean (OM) = 8.00) to the 3rd position (OM = 5.86). In ethical discernment, the CME program had an impact on autonomy (P ≤0.0001). Utilitarian autonomy was reinforced in the participants (P ≤0.0001). Regarding work values, significant differences due to the CME intervention were found in openness to change (OC) (P <0.000), self-transcendence (ST) (P <0.001), and self-enhancement (SE) (P <0.019). Predominant values in life history, ethical discernment and healthcare personnel-patient relation were beneficence, respect and compassion, respectively. CONCLUSIONS The healthcare personnel participating in a CME intervention in clinical ethics improved high-order values: Openness to change (OC) and Self Transcendence (ST), which are essential to fulfilling the healing ends of medicine. The CME intervention strengthened the role of educators and advisors with respect to healthcare personnel. The ethical values developed by healthcare professionals arise from their life history and their professional formation.
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Baez-Duarte BG, Sánchez-Guillén MDC, Pérez-Fuentes R, Zamora-Ginez I, Leon-Chavez BA, Revilla-Monsalve C, Islas-Andrade S. β-cell function is associated with metabolic syndrome in Mexican subjects. Diabetes Metab Syndr Obes 2010; 3:301-9. [PMID: 21437099 PMCID: PMC3047966 DOI: 10.2147/dmsott.s12375] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
AIMS The clinical diagnosis of metabolic syndrome does not find any parameters to evaluate the insulin sensitivity (IS) or β-cell function. The evaluation of these parameters would detect early risk of developing metabolic syndrome. The aim of this study is to determine the relationship between β-cell function and presence of metabolic syndrome in Mexican subjects. MATERIAL AND METHODS This study is part of the Mexican Survey on the Prevention of Diabetes (MexDiab Study) with headquarters in the city of Puebla, Mexico. The study comprised of 444 subjects of both genders, aged between 18 and 60 years and allocated into two study groups: (1) control group of individuals at metabolic balance without metabolic syndrome and (2) group composed of subjects with metabolic syndrome and diagnosed according to the criteria of the Third Report of the National Cholesterol Education Program Expert Panel on Defection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Anthropometric, biochemical, and clinical assessments were carried out. RESULTS Average age of the subjects in the control group (n = 254) was 35.7 ± 11.5 years and 42.0 ± 10.7 years for subjects in the metabolic syndrome group (n = 190). Subjects at metabolic balance without metabolic syndrome showed decreased IS, increased insulin resistance (IR), and altered β-cell function. Individuals with metabolic syndrome showed a high prevalence (P ≤ 0.05) of family history of type 2 diabetes (T2D). This group also showed a significant metabolic imbalance with glucose and insulin levels and lipid profile outside the ranges considered safe to prevent the development of cardiovascular disease and T2D. CONCLUSION The main finding in this study was the detection of altered β-cell function, decreased IS, an increased IR in subjects at metabolic balance, and the progressive deterioration of β-cell function and IS in subjects with metabolic syndrome as the number of features of metabolic syndrome increases.
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Affiliation(s)
- Blanca G Baez-Duarte
- Posgrado en Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, México
- Centro de Investigación Biomédica de Oriente, Instituto Mexicano del Seguro Social, Atlixco, Puebla, México
| | | | - Ricardo Pérez-Fuentes
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, México
- Centro de Investigación Biomédica de Oriente, Instituto Mexicano del Seguro Social, Atlixco, Puebla, México
| | - Irma Zamora-Ginez
- Posgrado en Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, México
- Centro de Investigación Biomédica de Oriente, Instituto Mexicano del Seguro Social, Atlixco, Puebla, México
| | | | - Cristina Revilla-Monsalve
- Multidiciplinary Research Group on Diabetes (José Sánchez-Corona, Fernando Guerrero-Romero, Martha Rodriguez-Moran, Agustin Madero, Jorge Escobedo-de-la-Peña, Silvia Flores-Martinez, Esperanza, Martinez-Abundis, Manuel Gonzalez-Ortiz, Alberto Rascon-Pacheco, Margarita Torres-Tamayo), Instituto Mexicano del Seguro Social, México, Distrito Federal, México
| | - Sergio Islas-Andrade
- Multidiciplinary Research Group on Diabetes (José Sánchez-Corona, Fernando Guerrero-Romero, Martha Rodriguez-Moran, Agustin Madero, Jorge Escobedo-de-la-Peña, Silvia Flores-Martinez, Esperanza, Martinez-Abundis, Manuel Gonzalez-Ortiz, Alberto Rascon-Pacheco, Margarita Torres-Tamayo), Instituto Mexicano del Seguro Social, México, Distrito Federal, México
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González-Ortiz M, Guerrero-Romero JF, Violante-Ortiz R, Wacher-Rodarte N, Martínez-Abundis E, Aguilar-Salinas C, Islas-Andrade S, Arechavaleta-Granell R, González-Canudas J, Rodríguez-Morán M, Zavala-Suárez E, Ramos-Zavala MG, Metha R, Revilla-Monsalve C, Beltrán-Jaramillo TJ. Efficacy of glimepiride/metformin combination versus glibenclamide/metformin in patients with uncontrolled type 2 diabetes mellitus. J Diabetes Complications 2009; 23:376-9. [PMID: 18849173 DOI: 10.1016/j.jdiacomp.2008.09.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2008] [Revised: 07/29/2008] [Accepted: 09/13/2008] [Indexed: 11/19/2022]
Abstract
AIM The aim of this study was to compare the efficacy of glimepiride/metformin combination versus glibenclamide/metformin for reaching glycemic control in patients with uncontrolled type 2 diabetes mellitus. PATIENTS AND METHODS A randomized, double-blind, multicenter clinical trial was performed in 152 uncontrolled type 2 diabetic patients. Serum fasting and postprandial glucose, hemoglobin A1c (A1C), high-density lipoprotein cholesterol, and triglycerides were measured. After random allocation, all patients received two pills of glimepiride (1 mg)/metformin (500 mg) or glibenclamide (5 mg)/metformin (500 mg) po once a day. Dosage was increased to a maximum of four pills in order to reach the glycemic control goals (fasting glucose <or=7.2 mmol/l, postprandial glucose <10.0 mmol/l, A1C <7%, or an A1C >or=1% reduction). Statistical analyses were carried out using chi-square, ANOVA, or Student's t test. The protocol was approved by an ethics committee and met all requirements needed to perform research in human subjects; all patients gave written informed consent. RESULTS Each study group included 76 patients. No significant differences in basal clinical and laboratory characteristics between groups were found. At the end of the study, A1C concentration was significantly lower in the glimepiride/metformin group (P=.025). A higher proportion of patients from the glimepiride group (44.6% vs. 26.8%, P<.05) reached the goal of A1C <7% at 12 months of treatment. A higher proportion of hypoglycemic events were observed in the glibenclamide group (28.9% vs. 17.1%, P<.047). CONCLUSION Glimepiride/metformin demonstrated being more efficacious than glibenclamide/metformin at reaching the glycemic control goals with less hypoglycemic events in patients with uncontrolled type 2 diabetes mellitus.
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Affiliation(s)
- Manuel González-Ortiz
- Medical Research Unit in Clinical Epidemiology, Specialties Hospital, Medical Unit of High Specialty, West National Medical Center, Mexican Institute of Social Security, Guadalajara, Mexico.
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Guerrero-Romero F, Rodríguez-Morán M, Pérez-Fuentes R, Sánchez-Guillén MC, González-Ortiz M, Martínez-Abundis E, Brito-Zurita O, Madero A, Figueroa B, Revilla-Monsalve C, Flores-Martínez SE, Islas-Andrade S, Rascón-Pacheco RA, Cruz M, Sánchez-Corona J. Prediabetes and its relationship with obesity in Mexican adults: The Mexican Diabetes Prevention (MexDiab) Study. Metab Syndr Relat Disord 2008; 6:15-23. [PMID: 18370832 DOI: 10.1089/met.2007.0020] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Epidemiological data on impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) based on a representative Mexican sample are not available; thus, the objectives of this study were to determine the prevalence and distribution of IFG and IGT, and to establish its relationship with obesity in Mexican adults. METHODS We performed a cross-sectional population-based study on a representative sample of Mexican adults aged 30 to 65 years. Anthropometric measurements of obesity that included waist circumference (WC) and total body fat percentage were collected and the body mass index calculated. All subjects also underwent an oral glucose tolerance test. Diagnosis of glucose metabolism disorders was based on criteria of the American Diabetes Association. RESULTS Prevalence of IFG, IGT, and IFG+IGT was 24.6%, 8.3%, and 10.3%, respectively. The age-adjusted prevalence of IFG (49.5% and 50.5%), IGT (49.1% and 50.9%), and IFG+IGT (57.3% and 42.7%) was similar in men and women. Prevalence of obesity was 45.9% with predominance in women (48.8% versus 42.1%, P = 0.01). A total of 394 (31.0%) individuals were overweight. Among the 550 prediabetic normal weight subjects, 70 (22.4%), 15 (14.2%), and 7 (5.3%) had IFG, IGT, or IFG+IGT. The odds ratio (OR) between WC and IFG (OR 3.1, CI(95%) 1.4-9.7), IGT (OR 3.2, CI(95%) 1.2-9.1), and IFG+IGT (OR 2.8, CI(95%) 1.3-8.2) was higher than the OR of other measurements of obesity. CONCLUSIONS Prevalence of prediabetes in the Mexican adult population is high. WC is the measure of obesity more strongly associated with metabolic glucose disorders. A high proportion of subjects with normal weight exhibit prediabetes.
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Affiliation(s)
- Fernando Guerrero-Romero
- The Multidisciplinary Research Group on Diabetes of the Instituto Mexicano del Seguro Social, Mexico.
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González-Chávez A, Amancio-Chassin O, Islas-Andrade S, Revilla-Monsalve C, Hernández-Q M, Lara-Esqueda A, Naranjo S, Rodríguez-Morán M, Guerrero-Romero F. [Cardiovascular risk factors associated to abdominal obesity in apparently healthy subjects]. Rev Med Inst Mex Seguro Soc 2008; 46:273-279. [PMID: 19133204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
OBJECTIVE to determine the relationship between the abdominal obesity and cardiovascular risk factors in apparently healthy subjects from Mexico City. METHODS a total of 186 apparently healthy men and nonpregnant women from Mexico City, were enrolled in a cross-sectional study. A detailed medical history and physical examination were performed. Abdominal obesity was defined by waist circumference > or = 80 cm for women and > or = 90 cm for men. RESULTS a total of 125 women (67.2 %) and 61 men (32.8 %) were enrolled. Of them, 151 (81.2 %) had insulin resistance and 130 (69.9 %) abdominal obesity. Among obese subjects 96 (46.2 %) showed metabolic syndrome. There were a high prevalence of hypertriglyceridemia (31 %) and low serum levels of HDL-cholesterol (58 %). CONCLUSIONS the used cut point for abdominal obesity, despite identifying a high proportion of subjects with cardiovascular risk, did not recognize a high proportion of subjects with disorders in their lipid profile.
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Rodríguez-Morán M, Guerrero-Romero F, Brito-Zurita O, Rascón-Pacheco RA, Pérez-Fuentes R, Sánchez-Guillén MC, González-Ortiz M, Martínez-Abundis E, Simental-Mendía LE, Madero A, Revilla-Monsalve C, Flores-Martínez SE, Islas-Andrade S, Cruz M, Wacher N, Sánchez-Corona J. Cardiovascular Risk Factors and Acculturation in Yaquis and Tepehuanos Indians from Mexico. Arch Med Res 2008; 39:352-7. [DOI: 10.1016/j.arcmed.2007.12.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2007] [Accepted: 12/03/2007] [Indexed: 10/22/2022]
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Revilla-Monsalve MC, Andrade-Cetto A, Palomino-Garibay MA, Wiedenfeld H, Islas-Andrade S. Hypoglycemic effect of Cecropia obtusifolia Bertol aqueous extracts on type 2 diabetic patients. J Ethnopharmacol 2007; 111:636-40. [PMID: 17291702 DOI: 10.1016/j.jep.2007.01.014] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2006] [Revised: 01/08/2007] [Accepted: 01/12/2007] [Indexed: 05/13/2023]
Abstract
Cecropia obtusifolia is widely used in Mexican traditional medicine due to its reputed hypoglycemic effect. During a period of 32 weeks, aqueous extracts of the leaves of this plant were administrated daily to 12 recently diagnosed type 2 diabetic patients, controlled only with diet and exercise. Serum glucose, cholesterol, triglyceride and insulin levels were determined every 15 days; HbA1c, ALT, AST and ALKP were measured every month. A significant reduction of glucose was detected after 4 weeks of administration but the reduction was significant and sustained after 18 weeks of administration. The HbA1c was also significantly reduced after 6 weeks of treatment. No significant changes on cholesterol, triglycerides ALT, AST, ALKP or insulin could be detected. No collateral effects were observed. After suspending the administration of the extract, and a follow-up of 34 weeks, the glucose and HbA1c levels increased reaching levels higher than the basal ones. It can be concluded that the aqueous extracts of Cecropia obtusifolia have a significant hypoglycemic effect with no adverse effects and that the mechanism of action is not brought about by stimulating the insulin secretion. The results support the fact that the extracts of Cecropia obtusifolia have a great potential to be further developed into a phytomedicine.
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Affiliation(s)
- Ma Cristina Revilla-Monsalve
- Unidad de Investigación Médica en Enfermedades Metabólicas, UMAE Hospital de Cardiología C.M.N. Siglo XXI, México D.F., Mexico.
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Meraz MM, Revilla CM, Martínez CJC, Islas-Andrade S, Aburto EM. Restoration of endocrine function and fertility with a tubo-ovarian autotransplant as the anatomical-functional unit in rabbits using a vascular microsurgical technique. Transplant Proc 2006; 38:945-51. [PMID: 16647516 DOI: 10.1016/j.transproceed.2006.02.041] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Infertility has been considered a global public health problem in many countries worldwide. Our objective was to restore endocrine function and fertility in tubal-oophorectomized rabbits using an orthotopic tubal-ovarian vascularized autotransplant model as the anatomical-functional unit while employing a microvascular surgical technique. Twenty New Zealand white (NZW) sexually mature female rabbits and four male NZW rabbits of proven fertility were divided into two study groups. In group I (n = 10), a left salpingo-oophorectomy was performed. Group II (n = 10) was subjected to a bilateral salpingo-oophorectomy, plus a right orthotopic tubal-ovarian autotransplant. Our testing variables were vascular and tubal-anastomoses permeability, estradiol (E2) and progesterone (P4) serum levels, pregnancy, number of offspring, histopathological study of the uteri, fallopian tubes, and ovaries. One hundred percent immediate permeability of the tubal anastomoses was achieved, while late permeability was found to be 64%. Immediate permeability of vascular anastomoses was 90%, and late permeability was recorded at 80%. E2 serum levels in both groups at different times showed no statistically significant differences. In the case of P4, a small difference was found during pregnancy, especially greater in the control group (P < .05). In the autotransplanted group, four rabbits became pregnant (44%). Endocrine function and fertility were restored in the rabbits with the tubal-ovarian transplant as the anatomical-functional unit. The use of isotransplants and allotransplants should be considered a therapeutic alternative in the infertile woman with irreparable bilateral tubal damage, ovarian dysgenesis, surgical absence of ovaries and fallopian tubes, or when the conventional IVF/TE in these cases has been unsuccessful.
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Affiliation(s)
- M M Meraz
- Luis Castelazo Ayala Gynecological-Obstetrics Hospital (Hospital de Gineco-Obstetricia Luis Castelazo Ayala), IMSS (Mexican Institute of Social Security), Mexico City, Mexico.
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Revilla-Monsalve C, Zendejas-Ruiz I, Islas-Andrade S, Báez-Saldaña A, Palomino-Garibay MA, Hernández-Quiróz PM, Fernandez-Mejia C. Biotin supplementation reduces plasma triacylglycerol and VLDL in type 2 diabetic patients and in nondiabetic subjects with hypertriglyceridemia. Biomed Pharmacother 2006; 60:182-5. [PMID: 16677798 DOI: 10.1016/j.biopha.2006.03.005] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2006] [Accepted: 03/10/2006] [Indexed: 11/29/2022] Open
Abstract
Biotin is a water-soluble vitamin that acts as a prosthetic group of carboxylases. Besides its role as carboxylase prosthetic group, biotin regulates gene expression and has a wide repertoire of effects on systemic processes. The vitamin regulates genes that are critical in the regulation of intermediary metabolism. Several studies have reported a relationship between biotin and blood lipids. In the present work we investigated the effect of biotin administration on the concentration of plasma lipids, as well as glucose and insulin in type 2 diabetic and nondiabetic subjects. Eighteen diabetic and 15 nondiabetic subjects aged 30-65 were randomized into two groups and received either 61.4 micromol/day of biotin or placebo for 28 days. Plasma samples obtained at baseline and after treatment were analyzed for total triglyceride, cholesterol, very low density lipoprotein (VLDL), glucose and insulin. We found that the vitamin significantly reduced (P=0.005) plasma triacylglycerol and VLDL concentrations. Biotin produced the following changes (mean of absolute differences between 0 and 28 day treatment+/-S.E.M.): a) triacylglycerol -0.55+/-0.2 in the diabetic group and -0.92+/-0.36 in the nondiabetic group; b) VLDL: -0.11+/-0.04 in the diabetic group and -0.18+/-0.07 in the nondiabetic group. Biotin treatment had no significant effects on cholesterol, glucose and insulin in either the diabetic or nondiabetic subjects. We conclude that pharmacological doses of biotin decrease hypertriglyceridemia. The triglyceride-lowering effect of biotin suggests that biotin could be used in the treatment of hypertriglyceridemia.
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Báez-Saldaña A, Zendejas-Ruiz I, Revilla-Monsalve C, Islas-Andrade S, Cárdenas A, Rojas-Ochoa A, Vilches A, Fernandez-Mejia C. Effects of biotin on pyruvate carboxylase, acetyl-CoA carboxylase, propionyl-CoA carboxylase, and markers for glucose and lipid homeostasis in type 2 diabetic patients and nondiabetic subjects. Am J Clin Nutr 2004; 79:238-43. [PMID: 14749229 DOI: 10.1093/ajcn/79.2.238] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Several studies have shown that biotin affects glucose homeostasis. Serum biotin concentrations are lower in subjects with type 2 diabetes than in control subjects. Lymphocyte propionyl-CoA carboxylase (PCC; EC 6.4.1.3) activity has proved to be a sensitive indicator of biotin status that is more accurate than is serum biotin concentration. OBJECTIVE We studied the activity of PCC, pyruvate carboxylase (PC; EC 6.4.1.1), and acetyl-CoA carboxylase (ACC; EC 6.4.1.2) in type 2 diabetic and nondiabetic subjects. The effect of biotin administration (6.14 micro mol/d) on the activity of these enzymes and on several plasma metabolites was also studied. DESIGN We compared the activities of carboxylases in circulating lymphocytes from patients with type 2 diabetes (n = 24) with those in circulating lymphocytes from nondiabetic subjects (n = 30). We also assessed the effect of biotin administration for 14 and 28 d on the activity of these enzymes and on the concentrations of several metabolites (type 2 diabetic patients, n = 10; nondiabetic subjects, n = 7). RESULTS No significant differences in lymphocyte carboxylase activities were found between the type 2 diabetic patients and the nondiabetic subjects. Biotin administration increased the activity of PCC, PC, and ACC in all the subjects. No significant change in glucose, insulin, triacylglycerol, cholesterol, or lactate concentration was observed with the treatment in either the diabetic or the nondiabetic subjects. CONCLUSIONS The activity of carboxylases does not differ significantly between type 2 diabetic and nondiabetic subjects. Pharmacologic doses of biotin increase lymphocyte PCC, PC, and ACC activities.
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Affiliation(s)
- Armida Báez-Saldaña
- Departamento de Inmunología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
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Tene Pérez CE, Revilla-Monsalve MC, Amato D, Escobedo de la Peña J, Galván R, Millán-Guerrero RO, Trujillo Hernández B, Zárate A, Islas-Andrade S. Correlation between serum leptin levels and insulin sensitivity in diffuse toxic goiter. Endocr Res 2004; 30:19-27. [PMID: 15098916 DOI: 10.1081/erc-120028384] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE The aim of this survey was to assess the correlation between leptin and insulin sensitivity (IS) in cases of diffuse toxic goiter. DESIGN, PATIENTS, MEASUREMENTS This is a descriptive study on patients with diffuse toxic goiter (DTG) assessing their body mass index (BMI), serum leptin concentrations, circulating insulin (area under the curve (AuC) of insulin), average insulin level, thyroid hormones, thyroid stimulating hormone (TSH), glycemia and IS (using a hyperinsulinemic-euglycemic clamp and the homeostasis model for assessment of insulin resistance (HOMA-IR) before and after euthyroidism induced with metimazol. RESULTS The average patient age was 35 years old (range 31-40 years), height was 157 cm (range 151-160 cm), glycemia was 4.3 +/- 0.3 mmol/L and TSH 0.1 +/- 0.1 microU/mL. Average leptin level was 11.3 +/- 2.8 ng/dL, the average insulin level was 10.13 +/- 3.7 mIU/mL and the AuC for insulin was 50.6 +/- 18 microIU x min/mL. No correlation was found between leptin and BMI, thyroid hormones and glycemia. While controlling for the BMI effect, a correlation was found between leptin and TSH (r = -0.77, p = 0.042), as well as between leptin and insulinemia (r = 0.93, r2 = 0.86, p = 0.001) independently from the state of thyroid function. There was a tendency for a high correlation between leptin and the insulin AuC (hyperthyroidism: r = 0.89, p = 0.056; euthyroidism: r = 0.99, p = 0.056). A negative correlation was found between IS and the insulin AuC (rho = -0.58, p = 0.18). There was a high tendency for correlation between leptin and IS when the BMI effect (HOMA-IR: r = 0.70, p = 0.12; PHE: r = -0.55, p = 0.26) was taken into consideration. CONCLUSIONS There is a high tendency for a negative correlation between leptin and IS when the BMI effect is controlled. There is a high tendency for a positive correlation between leptin and insulin and TSH.
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Affiliation(s)
- C E Tene Pérez
- Medical Research Unit in Clinical Epidemiology, Family Medicine Zone General Hospital No. 1, Mexican Institute of Social Security, Colima, Mexico.
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Islas-Andrade S, Revilla-Monsalve MC, Martínez de Hurtado E, Chacín LF, Caminos QR, Yupanqui H, López G, de la Torre W. Evaluation of the effects of nateglinide on postprandial glycemia in patients with type 2 diabetes mellitus: a multicenter, multinational, non-randomized, non-controlled Latin American study. Pharmacology 2003; 68:89-95. [PMID: 12711836 DOI: 10.1159/000069534] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2002] [Accepted: 11/14/2002] [Indexed: 11/19/2022]
Abstract
One hundred and sixteen Latin American type 2 diabetic patients previously only on a diet were enrolled in this multicenter, multinational, nonrandomized, noncontrolled study. Only 109 completed the study. After 8 weeks of treatment with 120 mg of nateglinide, administered prior to each meal, the postprandial (2 h) glucose concentration decreased to 85.11 +/- 5.65 mg/dl (p < 0.0001), and HbA(1c) values decreased to 1.06 +/- 0.10% (p < 0.0001). No response differences were detected in relation to age, gender, or ethnicity, but we did encounter a better response in recently diagnosed patients (<or=1 year). No serious adverse events were observed. We can, therefore, conclude that nateglinide is a well-tolerated, safe, and effective insulinotropic agent.
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Affiliation(s)
- Sergio Islas-Andrade
- Research Unit in Metabolic Diseases, Centro Médico Nacional, Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
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Islas-Andrade S, Monsalve MR, Peña JEDL, Polanco AC, Palomino MA, Velasco AF. Streptozotocin and Alloxan in Experimental Diabetes. Comparison of the Two Models in Rats. Acta Histochem Cytochem 2000. [DOI: 10.1267/ahc.33.201] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Sergio Islas-Andrade
- Unidad de Investigación Médica en Enfermedades Metabólicas,Centro Médico Nacional Siglo XXI,I.M.S.S.México City
| | | | - Jorge Escobedo de la Peña
- Unidad de Investigación Médica en Enfermedades Metabólicas,Centro Médico Nacional Siglo XXI,I.M.S.S.México City
| | - Ana C Polanco
- Unidad de Investigación Médica en Enfermedades Metabólicas,Centro Médico Nacional Siglo XXI,I.M.S.S.México City
| | - Miguel Angel Palomino
- Unidad de Investigación Médica en Enfermedades Metabólicas,Centro Médico Nacional Siglo XXI,I.M.S.S.México City
| | - Alfredo Feria Velasco
- División de Patología y Biotecnología Ambiental,CIATEJ,(SEP-CONACYT)Guadalajara,Jalisco,México
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Frati AC, Gordillo BE, Altamirano P, Ariza CR, Cortés-Franco R, Chávez-Negrete A, Islas-Andrade S. Influence of nopal intake upon fasting glycemia in type II diabetics and healthy subjects. Arch Invest Med (Mex) 1991; 22:51-6. [PMID: 1668138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
To assess if the acute hypoglycemic effect of nopal which occurs in diabetic patients also appears in healthy individuals, 500 g of nopal stems (O. streptacantha Lem.) were given orally to 14 healthy volunteers and to 14 patients with NIDDM. Serum glucose and insulin levels were measured at 0, 60, 120 and 180 minutes after nopal ingestion. A control test was performed with the intake of 400 ml of water. The intake of nopal by the NIDDM group was followed by a significant reduction of serum glucose and insulin concentration reaching 40.8 + 4.6 mg/dl (n = 14) (mean+SEM) and 7.8 + 1.5 uU/ml (n = 7) less than basal value, respectively, at 180 minutes. (P less than 0.001 vs control test). No significant changes were noticed in the healthy group as compared with the control test (P greater than 0.05). Acute hypoglycemic effect of nopal was observed in patients with NIDDM but not in healthy subjects, thus the mechanisms of this effect differs from current hypoglycemic agents.
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Affiliation(s)
- A C Frati
- Departamento de Medicina Interna y Medicina Nuclear, Hospital de Especialidades del Centro Médico La Raza, Instituto Mexicano del Seguro Social, D.F
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Halabe-Cherem J, Islas-Andrade S, Lifshitz A, Nellen H. Persistent fever as the only symptom of familial Mediterranean fever. Arch Intern Med 1990; 150:1347. [PMID: 2353868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We describe a 54-year-old man who suffered from familial Mediterranean fever, but the fever has been the only symptom during a 10-year period. During this period, results of laboratory tests and roentgenographic studies were negative. On the basis of these findings we propose that familial Mediterranean fever can be included in the causes of persistent fever in patients with long periods of fever.
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Affiliation(s)
- J Halabe-Cherem
- Hospital de Especialidades Centro Médico Nacional y Subjefatura de Investigación, Instituto Mexicano del Seguro Social, Medellin
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Frati-Munari AC, Flores-Garduño MA, Ariza-Andraca R, Islas-Andrade S, Chávez Negrete A. [Effect of different doses of Plantago psyllium mucilage on the glucose tolerance test]. Arch Invest Med (Mex) 1989; 20:147-52. [PMID: 2604498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
To assess the effect of different doses of Plantago psyllium mucilage on glucose tolerance test, four oral glucose tolerance tests were performed to eight healthy volunteers. Glucose load (75 g) was mixed with 0 (control test), 10.20 and 30 g of mucilage. Serum glucose levels were measured at 0, 30, 60, 120 and 180 minutes. Maximum peak of glucose at 30 minutes, and the area under the curve of glucose were significantly lower in the test with 20 and 30 g of mucilage than the tests with 0 and 10g. There was a significant relationship (r = 0.44 p less than 0.025) between the dose of P. psyllium mucilage and its attenuating effect of hyperglycemia.
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Frati-Munari AC, Del Valle-Martínez LM, Ariza-Andraca CR, Islas-Andrade S, Chávez-Negrete A. [Hypoglycemic action of different doses of nopal (Opuntia streptacantha Lemaire) in patients with type II diabetes mellitus]. Arch Invest Med (Mex) 1989; 20:197-201. [PMID: 2557805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
To assess the relationship between the doses of O. streptacantha Lem. and its acute hypoglycemic action in diabetics, eight patients with type II diabetes mellitus were studied. Four test were performed to each patient with the intake of: (a) 400 ml of water, (b) 100 g (c) 300 g and (d) 500 g of broiled stems of O. streptacantha Lem. Serum glucose was measured at 0, 60, 120 and 180 minutes. Maximal decrease of serum glucose was noticed at 180 minutes, with a mean of 2.3, 10, 30.1 and 46.7 mg/dl less than basal value with 0, 100, 300 and 500 g respectively (P = NS, less than 0.05, less than 0.001 and less than 0.001 respectively). A significant direct correlation (r = 0.690, P less than 0.001) was noticed between the doses and the hypoglycemic effect.
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Lifshitz A, Jasso-Gutiérrez L, Frati-Munari AC, Ariza-Andraca R, González-Gutiérrez T, Bañales-Ham MB, Chávez-Negrete A, Islas-Andrade S. [New ideas on fever]. GAC MED MEX 1988; 124:419-34. [PMID: 3246329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
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