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Zumaraga MPP, Rodriguez MP, Aman AYC, Deguit CDT, Biwang JH, Melegrito JB, Duante CA, Madrid ML, Concepcion MAR, Nevado JB. Nutritional and genetic determinants of essential hypertension among adult respondents of the 2013 national nutrition survey, Philippines: a preliminary observational study. J Nutr Biochem 2022; 110:109152. [PMID: 36245136 DOI: 10.1016/j.jnutbio.2022.109152] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 08/11/2022] [Accepted: 08/19/2022] [Indexed: 01/13/2023]
Abstract
Preventive strategies for hypertension and its sequelae require an understanding of their predisposing conditions and recognition of at-risk individuals. Several factors, both genetic and nongenetic, are influential, and likely vary in their effects across ethnicities. This study aimed to identify dietary, lifestyle-related differences and genetic variants associated with hypertension in Filipinos. The study included 147 adult Filipino respondents of the 2013 Philippine National Nutrition Survey living in the National Capital Region. Data on the socio-demographic profile and selected lifestyle factors were obtained via face-to-face interviews. Blood pressure, anthropometric and biochemical indicators of health were determined using standard procedures. Hypertension incidence was determined following American College of Cardiology/American Heart Association guideline. Genotyping utilized the customized Illumina Golden Gate genotyping array, with subsequent allele and genotypic association analytics. Genetic variant effects were adjusted to clinical parameters via logistic regression. Between those with and without hypertension, there was relatively higher intake of dietary protein, fat but not carbohydrates in the latter (P<.05). Of note, other established risk factors for hypertension, such as high lipid levels and fasting blood sugar, were consistently frequently seen among hypertensive respondents. Of the gene markers, 3 SNPs (rs10492602 of APOC [3' UTR], rs12721054 of CYP2C19 [exon] and rs4244285 [intergenic between PCDH17-DIAPH3 locus]) remained significant after multivariable logistic regression. The study highlights that both nutrition and genetic information may contribute to hypertension among Filipinos. This could guide public health initiatives to identify Filipinos susceptible to hypertension and recommend control strategies in lowering its morbidity rate.
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Affiliation(s)
- Mark Pretzel P Zumaraga
- Department of Science and Technology-Food and Nutrition Research Institute, Bicutan, Taguig City, Philippines.
| | - Marietta P Rodriguez
- Department of Science and Technology-Food and Nutrition Research Institute, Bicutan, Taguig City, Philippines
| | - Aimee Yvonne Criselle Aman
- Microarray Core Laboratory, Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines; Department of Science and Technology-Philippine Council for Health Research and Development, Bicutan, Taguig City, Philippines
| | - Christian Deo T Deguit
- Microarray Core Laboratory, Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Jessica H Biwang
- Microarray Core Laboratory, Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Jodelyn B Melegrito
- Microarray Core Laboratory, Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Charmaine A Duante
- Department of Science and Technology-Food and Nutrition Research Institute, Bicutan, Taguig City, Philippines
| | - Marilou L Madrid
- Department of Science and Technology-Food and Nutrition Research Institute, Bicutan, Taguig City, Philippines
| | - Mae Anne R Concepcion
- Department of Science and Technology-Food and Nutrition Research Institute, Bicutan, Taguig City, Philippines
| | - Jose B Nevado
- Microarray Core Laboratory, Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
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Paz-Pacheco E, Nevado JB, Cutiongco-de la Paz EMC, Jasul GV, Aman AYCL, Ribaya ELA, Francisco MDG, Guanzon MLVV, Uyking-Naranjo ML, Añonuevo-Cruz MCS, Maningat MPDD, Jaring CV, Nacpil-Dominguez PD, Pala-Mohamad AB, Canto AU, Quisumbing JPM, Lat AMM, Bernardo DCC, Mansibang NMM, Calpito KJAC, Ribaya VSD, Ferrer JPY, Biwang JH, Melegrito JB, Deguit CDT, Panerio CEG. Variants of SLC2A10 may be Linked to Poor Response to Metformin. J Endocr Soc 2022; 6:bvac092. [PMID: 35854978 PMCID: PMC9278830 DOI: 10.1210/jendso/bvac092] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Indexed: 12/05/2022] Open
Abstract
Purpose A study among Filipinos revealed that only 15% of patients with diabetes achieved glycemic control, and poor response to metformin could be one of the possible reasons. Recent studies demonstrate how genetic variations influence response to metformin. Hence, the present study aimed to determine genetic variants associated with poor response to metformin. Methods Using a candidate variant approach, 195 adult Filipino participants with newly diagnosed type 2 diabetes mellitus (T2DM) were enrolled in a case-control study. Genomic DNA from blood samples were collected. Allelic and genotypic associations of variants with poor response to metformin were determined using exact statistical methods. Results Several polymorphisms were nominally associated with poor response to metformin (Puncorr < 0.05). The most notable is the association of multiple variants in the SLC2A10 gene—rs2425911, rs3092412, and rs2425904—with common additive genetic mode of inheritance. Other variants that have possible associations with poor drug response include rs340874 (PROX-AS1), rs815815 (CALM2), rs1333049 (CDKN2B-AS1), rs2010963 (VEGFA), rs1535435 and rs9494266 (AHI1), rs11128347 (PDZRN3), rs1805081 (NPC1), and rs13266634 (SLC30A8). Conclusion In Filipinos, a trend for the association for several variants was noted, with further observation that several mechanisms may be involved. The results may serve as pilot data for further validation of candidate variants for T2DM pharmacotherapy.
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Affiliation(s)
- Elizabeth Paz-Pacheco
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Jose B Nevado
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | | | - Gabriel V Jasul
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | | | - Elizabeth Laurize A Ribaya
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Mark David G Francisco
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Ma Luz Vicenta V Guanzon
- Corazon Locsin Montelibano Memorial Regional Hospital, Bacolod City, Negros Occidental, Philippines
| | | | - Ma Cecille S Añonuevo-Cruz
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Maria Patricia Deanna D Maningat
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Cristina V Jaring
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Paulette D Nacpil-Dominguez
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Aniza B Pala-Mohamad
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Abigail U Canto
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - John Paul M Quisumbing
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Annabelle Marie M Lat
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Diane Carla C Bernardo
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | - Noemie Marie M Mansibang
- Division of Endocrinology, Diabetes and Metabolism, Philippine General Hospital, University of the Philippines Manila, Philippines
| | | | - Vincent Sean D Ribaya
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Julius Patrick Y Ferrer
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Jessica H Biwang
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Jodelyn B Melegrito
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Christian Deo T Deguit
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
| | - Carlos Emmanuel G Panerio
- Institutes of Human Genetics, National Institutes of Health, University of the Philippines Manila, Philippines
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