Glycemic Index of Diverse Rice Genotypes and Rice Products Associated with Health and Diseases
Abstract
Rice (Oryza sativa L.) is the primary source of carbohydrate for more than half of global population. The highest rice consumption is in Asia which more than 100 kg per capita. It has been reported that rice elicits a high glycemic index (GI) ranged from 54 to 121 which considers to the higher GI compared to other starchy foods. Rice consumption showed a positive correlation with diabetes incidences. Regular consumption of high-GI rice has been accelerating the development of type-II diabetes problem due to high blood glucose excursions and related to insulin resistance. The objective of this review is to identify rice genotypes and also the rice products for low GI which potentially provide information associated with good eating habits and prevent type-II diabetes and others related diseases. Information regarding GI value of rice and other rice products might help rice consumers to choose the right food to reduce the risk of health problems. Nowadays, it is difficult to find food products with nutritional label of GI value. Most of the food products, the GI value has not been defined yet. Determination of GI in food products will significantly support healthy eating habits.
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IRRI. Rice basics. 2010. Available from http://irri.org/about-rice/rice-facts/ rice-basics. Accessed 12 April, 2023.
Meng F., Wei Y., et al. Iron content and bioavailability in rice. J. Trace Elem. Med. Bio., 2005;18(4):333–338.
Shobana S., Kokila A., Lakshmipriya N., Subhashini S. et al. Glycaemic index of three Indian rice varieties. International Journal of Food Sciences and Nutrition, 2012;63(2):178–183.
Jaisut D., Prachayawarakorn S., Varanyanond W., Tungtrakul P., Soponronnarit S. Accelerated aging of jasmine brown rice by hightemperature fluidization technique. Food Research International, 2009;42:674–681.
Hu P., Zhao H., Duan Z., Linlin Z., Wu, D. Starch digestibility and the estimated glycemic score of different types of rice differing in amylose contents. Journal of Cereal Science, 2004;40:231–237.
Brand J. C., Nicholson P. L., et al. Food processing and the glycemic index. Am. J. Clin. Nutr., 1985;42(6):1192–1196.
Jenkins D. J. A., Wolever T. M. S., Jenkins A. L., Josse R. G., Wong, G. S. The glycemic response to carbohydrate foods. Lancet, 1984;18:388–391.
Jenkins D. J., Wolever T. M., Taylor R. H., Barker H. et al. Glycemic index of foods: a physiological basis for carbohydrate exchange. The American Journal of Clinical Nutrition, 1981;34(3):362–366.
Dwiningsih Y. Molecular Genetic Analysis of Drought Resistance and Productivity Traits of Rice Genotypes; University of Arkansas: Fayetteville, AR, USA. 2020.
Jenkins D.J.A., Kendall C.W.C., Augustin L.S.A., Franceschi S., Hamidi M., Marchie A., Jenkins A.L., Axelsen M. Glycemic index: overview of implications in health and disease. Am J Clin Nutr., 2002;76(1):266S–273S. Doi:10.1093/ajcn/76/1.266S
Ludwig D.S. The glycemic index. JAMA, 2002;287(18):2414. Doi:10.1001/jama.287.18.2414
Fernandes J., Madalena D., Pinheiro A., Vicente A. Rice in vitro digestion: application of INFOGEST harmonized protocol for glycemic index determination and starch morphological study. J Food Sci Technol., 2020;57(4):1393–1404. Doi:10.1007/s13197-019-04174-x
Dwiningsih Y. Alkahtani J. Genetics, Biochemistry and Biophysical Analysis of Anthocyanin in Rice (Oryza sativa L.). Advance Sustainable Science, Engineering and Technology (ASSET), 2022;4(1). Doi:10.26877/asset.v4i1.11659
Sugiyama M., Tang A.C., Wakaki Y., Koyama W. Glycemic index of single and mixed meal foods among common Japanese foods with white rice as a reference food. European Journal of Clinical Nutrition, 2003;57:743–752
Sun Q., Spiegelman D., et al. White rice, brown rice, and risk of type 2 diabetes in US men and women. Arch. Intern. Med., 2010;170(11):961–969.
Kaur B., Viren R., Jeyakumar H. The Glycemic Index of Rice and Rice Products: A Review, and Table of GI Values, Critical Reviews in Food Science and Nutrition, 2016;56:2, 215-236. Doi: 10.1080/10408398.2012.717976
Dwiningsih Y., Kumar A., Thomas J., Ruiz C., Alkahtani J., Al-hashimi A., Pereira A. Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers. Genes, 2021;12(1690). Doi:10.3390/genes12111690
Jukanti A., Pautong P., Liu Q., Sreenivasulu N. Low glycemic index rice-a desired trait in starchy staples. Trends in Food Science & Technology, 2020:132–149. Doi:10.1016/j.tifs.2020.10.006
Dwiningsih Y., Kumar A., Thomas J., Gupta C., Ruiz, C., Baisakh N., Pereira A. QTLs analysis and identification of candidate genes for flag leaf characteristics related to grain yield in US RIL rice population under drought conditions. American Society of Agronomy (ASA), Crop Science Society of America (CSSA), Soil Science Society of America (SSSA) International Annual Meeting, Salt Lake City, UT. 2021.
Sivakamasundari S.K., S. Priyanga, J. A. Moses, C. Anandharamakrishnan. Impact of processing techniques on the glycemic index of rice. Critical Reviews in Food Science and Nutrition, 2022;62(12): 3323-3344. Doi: 10.1080/10408398.2020.1865259
Dwiningsih Y., Rahmaningsih M., Alkahtani J. Development of single nucleotide polymorphism (SNP) markers in tropical crops. Advance Sustainable Science, Engineering and Technology (ASSET), 2020;2(2).
Srikaeo K. Sangkhiaw J. Effect of amylose and resistant starch on glycemic index of rice noodles. Food Science and Technology, 2014;59:1129–1135. Doi:10.1016/j.lwt.2014.06.012
Denardin C.C., Boufleur N., Reckziegel P., da Silva L.P., Walter, M. Amylose content in rice (Oryza sativa) affects performance, glycemic and lipid metabolism in rats. Ciencia Rural, 2012;42:381–387.
Denardin C.C., Walter M., da Silva L.P., Souto G.D., Fagundes C.A.A. Effect of amylose content of rice varieties on glycemic metabolism and biological responses in rats. Food Chemistry, 2007;105:1474–1479.
Dwiningsih Y., Kumar A., Thomas J., Yingling S., Pereira A. Molecular genetic analysis of drought resistance and productivity in US rice cultivars. Plant and Animal Genome XXVII Conference (January 12-16, 2019). 2019.
Dwiningsih Y., Thomas J., Kumar A., Gupta C., Ruiz C., Yingling S., Crowley E., Pereira, A. Molecular genetic analysis of drought resistance and productivity mechanisms in rice. Plant and Animal Genome XXVIII Conference, January 11-15, 2020.
Fitzgerald M.A., Rahman S., Resurreccion A.P., Concepcion J., Daygon V.D., Dipti S.S., Kabir K.S., Klingner B., Morell M.K., Bird A.R. Identification of a major genetic determinant of glycaemic index in rice. Rice, 2011;4:66–74. Doi: 10.1007/s12284-011-9073-z
Dwiningsih Y., Kumar A., Thomas J., Ruiz C., Alkahtani J., Baisakh N., Pereira A. Quantitative trait loci and candidate gene identification for chlorophyll content in RIL rice population under drought conditions. Indonesian Journal of Natural Pigments, 2021;3(2):54–64. Doi:10.33479/ijnp.2021.03.2.54
Ge X., Khan Z.I., Chen F., Akhtar M., Ahmad K., Ejaz A., Ashraf M.A., Nadeem M., Akhtar S., Alkahtani J., Dwiningsih Y., Elshikh, M.S. A study on the contamination assessment, health risk and mobility of two heavy metals in the soil-plants-ruminants system of a typical agricultural region in the semi-arid environment. Environmental Science and Pollution Research, 2022;29,14584–14594. Doi:10.1007/s11356-021-16756-4
Kumar A., Sahoo U., Baisakha B., Okpani O., Ngangkham U., Parameswaran C., Basak N., Kumar G., Sharma S.G. Resistant starch could be dicisive in determining the glycemic index of rice cultivars. Journal of Cereal Science, 2018;79:348–353. Doi: 10.1016/j.jcs.2017.11.013
Choi Y., Giovannucci E., Lee J.E. Glycaemic index and glycaemic load in relation to risk of diabetes-related cancers: a metaanalysis. Br. J. Nutr., 2012;108(11):1934–1947.
Hu J., La Vecchia C., Augustin L.S., Negri E., de Groh M., Morrison H. Glycemic index, glycemic load and cancer risk. Ann. Oncol., 2013;24:245–251.
Maqsood A., Khan Z.I., Ahmad K., Akhtar S., Ashfaq A., Malik I.S., Sultana R., Nadeem M., Alkahtani J., Dwiningsih Y., Elshikh, M. Quantitative evaluation of zinc metal in meadows and ruminants for health assessment: implications for humans. Environmental Science and Pollution Research, 2022; 29(15)21634–21641. Doi:10.1007/s11356-021-17264-1
Brand-Miller J., Hayne S., Petocz P., Colagiuri S. Low-glycemic index diets in the management of diabetes: a meta-analysis of randomized controlled trials. Diabetes Care, 2003;26:2261–2267.
Chang U., Hong Y., Jung E., Suh H. Rice and the Glycemic Index. Academic Press., 2014;ISBN 9780124017160. 357–363. Doi:10.1016/B978-0-12-401716-0.00027-1.
Sitrarasi R., Nallal U.M., Razia M., Chung W.J., Shim J., Chandrasekaran M., Dwiningsih Y., Rasheed R.A., Alkahtani J., Elshikh M.S., Debnath O., Ravindran B. Inhibition of multi-drug resistant microbial pathogens using an ecofriendly root extract of Furcraea foetida silver nanoparticles. Journal of King Saud University-Science, 2022;34(2)101794. Doi:10.1016/j.jksus.2021.101794
Miller J. B., Pang E., et al. Rice: A high or low glycemic index food? Am. J. Clin. Nutr., 1992;56(6):1034–1036.
Bashir S., Gulshan A.B., Iqbal J., Husain A., Alwahibi M.S., Alkahtani J., Dwiningsih Y., Bakhsh A., Ahmed N., Khan M.J., Ibrahim M., Diao Z-H. Comparative role of animal manure and vegetable waste induced compost for polluted soil restoration and maize growth. Saudi Journal of Biological Sciences, 2021;28(4)2534–2539. Doi:10.1016/j.sjbs.2021.01.057
International Diabetes Federation. IDF Diabetes Atlas Ninth edition 2019. 2019;ISBN: 978-2-930229-87-4
Ali M.H., Khan M.I., Bashir S., Azam M., Naveed M., Qadri R., Bashir S., Mehmood F., Shoukat M.A., Li Y., Alkahtani J., Elshikh M.S., Dwiningsih, Y. Biochar and Bacillus sp. MN54 Assisted Phytoremediation of Diesel and Plant Growth Promotion of Maize in Hydrocarbons Contaminated Soil. Agronomy, 2021;11, 9, 1795. Doi:10.3390/agronomy11091795
Salmeron J., Manson J. E. et al. Dietary fiber, glycemic load, and risk of noninsulin-dependent diabetes mellitus in women. JAMA-J. Am. Med. Assoc. 1997;277(6):472–477.
Adil M., Bashir S., Bashir S., Aslam Z., Ahmad N., Younas T., Asghar R.M.A., Alkahtani J., Dwiningsih Y., Elshikh M.S. Zinc oxide nanoparticles improved chlorophyll contents, physical parameters, and wheat yield under salt stress. Front. Plant Sci. 2022;13,932861. Doi:10.3389/fpls.2022.932861
Augustin L.S., Franceschi S., Jenkins D.J.A., Kendall C.W.C., Vecchia, C.L. Glycaemic index in chronic disease: A review. Eur. J. Clin. Nutr., 2002;56:1049–1071.
Alkahtani J., Elshikh M.S., Dwiningsih Y., Rathi M.A., Sathya R., Vijayaraghavan P. In-vitro antidepressant property of methanol extract of Bacopa monnieri. Journal of King Saud University – Science, 2022;34,102299. Doi:10.1016/j.jksus.2022.102299
Hu E.A., Oand P.A., Malik V., Sun Q. White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review. BMJ, 2012;344:1–9.
Alshiekheid M.A., Dwiningsih Y., Sabour A.A., Alkahtani J. Phytochemical Composition and Antibacterial Activity of Zingiber cassumunar Roxb. against Agricultural and Foodborne Pathogens. Preprint, 2022. Doi:10.20944/preprints202208.0511.v1
Dwiningsih Y., Alkahtani J. Phenotypic Variations, Environmental Effects and Genetic Basis Analysis of Grain Elemental Concentrations in Rice (Oryza sativa L.) for Improving Human Nutrition. Preprints, 2022; 2022090263. Doi:10.20944/preprints202209.0263.v1
Dwiningsih Y., Alkahtani J. Rojolele: a Premium Aromatic Rice Variety in Indonesia. Preprints, 2022; 2022100373. Doi:10.20944/preprints202210.0373.v1
Dwiningsih Y., Thomas J., Kumar A., Gupta C., Gill N., Ruiz C., Alkahtani J., Baisakh N., Pereira A. Identification of QTLs and Candidate Loci Associated with Drought-Related Traits of the K/Z RIL Rice Population. Research Square, 2022. Doi:10.21203/rs.3.rs-1609741/v1
Dwiningsih Y., Al-Kahtani, J. Genome-Wide Association Study of Complex Traits in Maize Detects Genomic Regions and Genes for Increasing Grain Yield and Grain Quality. Advance Sustainable Science Engineering and Technology, 2022;4(2), 0220209. Doi:10.26877/asset.v4i2.12678
Lone J., Shikari A., Sofi N., Ganie S., Sharma M., Sharma M., Kumar M., Saleem M.H., Almaary K.S., Elshikh M.S., Dwiningsih, Y. Screening technique based on seed and early seedling parameters for cold tolerance of selected F2-derived F3 rice genotypes under controlled conditions. Sustainability, 2022;14(14):8447. Doi:10.3390/su14148447
Dwiningsih Y., Kumar A., Thomas J., Gupta C., Ruiz C., Alkahtani J., Baisakh N., Pereira, A. Identification and expression of abscisic acid-regulated genes in US RIL rice population under drought conditions. In 82nd Meeting of Southern Section of the American Society of Plant Biologists. 2021.
Dwiningsih Y., Kumar A., Thomas J., Yingling S., Pereira, A. Identification of QTLs associated with drought resistance traits at reproductive stage in K/Z RILs rice population. In 5th Annual Meeting of the Arkansas Bioinformatics Consortium AR-BIC. 2020.
Dwiningsih Y., Kumar A., Thomas J., Yingling S., Pereira, A. Molecular genetic analysis of drought resistance and productivity in K/Z RIL rice population. Arkansas Bioinformatics Consortium. 2019.
Dwiningsih Y., Thomas J., Kumar A., Gupta C., Crowley E., Ruiz C., Pereira, A. Drought stress response in US recombinant inbred line of rice population. In National Science Foundation (NSF) 26th National Conference. 2019;26(76)127.
Patindol J.A., Siebenmorgen T.J., Wang, Y. Impact of environmental factors on rice starch structure: A review. Starch/Sarke, 2015; 67:2–54. Doi: 10.1002/star.201400174
Dwiningsih Y., Thomas J., Kumar A., Gupta C., Yingling S., Basu S., Pereira, A. Circadian expression patterns of the HYR gene. Arkansas Bioinformatics Consortium, 7(11), 2018;34.
Juliano B. O. Rice in human nutrition. Food and Agriculture Organization of the United Nations, International Rice Research Institute, Rome. 1993.
Dwiningsih Y., Kumar A., Thomas J., Pereira, A. Identification drought-tolerance rice variety for reducing climatic impacts on rice production. In Fulbright Enrichment Seminar Climate Change, Estes Park, Colorado, USA. 2017.
Rock, W. R. L. Artificial Intelligence (AI) in Arkansas (AR). 2020.
Ismanto A., Hadibarata T., Widada S., Indrayanti E., Ismunarti D., Safinatunnajah N., Kusumastuti W., Dwiningsih Y., Alkahtani J. Groundwater contamination status in Malaysia: level of heavy metal, source, health impact, and remediation technologies. Bioprocess and Biosystems Engineering. 2022. Doi:10.1007/s00449-022-02826-5
Dwiningsih Y., Alkahtani, J. Agronomics, Genomics, Breeding and Intensive Cultivation of Ciherang Rice Variety. Preprints, 2022. 2022110489. Doi: 10.20944/preprints202211.0489.v1
Frei M., Siddhuraju P., Becker K. Studies on the in vitro starch digestibility and the glycemic index of six different indigenous rice cultivars from the Philippines. Food Chemistry, 2003;83:395–402. Doi:10.1016/S0308-8146(03)00101-8
Deepa G., Singh V., Naidu K. A comparative study on starch digestibility, glycemic index and resistant starch of pigmented (‘Njavara’ and ‘Jyothi’) and a non-pigmented (‘IR 64’) rice varieties. J Food Sci Technol., 2010; (Nov–Dec 2010) 47(6):644–649. Doi:10.1007/s13197-010-0106-1
Vanavichit, A. The hard solution to develop low glycemic rice for diabetes. Open Access Government. www.openaccessgoverment.org. 2021.
Wenefrida I., Utomo, H. LSU-bred higher-protein, low-glycemic rice variety gains traction. Rice Research Station, Crowley. Louisiana Agriculture. 2021.
Dwiningsih Y., Alkahtani J. Potential of Pigmented Rice Variety Cempo Ireng in Rice Breeding Program for Improving Food Sustainability. Preprints; 2023, 2023020039. Doi: 10.20944/preprints202302.0039.v1
Alshiekheid M.A., Dwiningsih Y., Alkahtani, J. Analysis of Morphological, Physiological, and Biochemical Traits of Salt Stress Tolerance in Asian Rice Cultivars at Different Stages. Preprints, 2023;2023030251. Doi:10.20944/preprints202303.0251.v1.
Dwiningsih Y., Thomas J., Kumar A., Gupta C., Gill N., Ruiz C., Alkahtani J., Baisakh N., Pereira A. Morphological, Physiological, and Genomics Responses of Recombinant Inbred Lines Rice Population under Drought Stress Condition. 2023 Meeting of Southern Section of the American Society of Plant Biologists. Fayetteville, Arkansas. United States of America. https://southern.aspb.org/2023-annual-meeting-2/
Dwiningsih Y., Thomas J., Kumar A., Gupta C., Alkahtani J., Pereira, A. Overexpression of the Transcription Factor HYR in Rice Improves Grain Yield and Grain Quality under Drought and High Temperature Stress Conditions. 2023 Meeting of Southern Section of the American Society of Plant Biologists. Fayetteville, Arkansas. United States of America. https://southern.aspb.org/2023-annual-meeting-2/
Alkahtani J., Ruiz C., Thomas J., Dwiningsih Y., Kumar A., Pereira A. Characterization of Arabidopsis Activation Tagged Genes maintaining Photosynthesis in Response to Salinity and Fluctuating Light conditions. 2023 Meeting of Southern Section of the American Society of Plant Biologists. Fayetteville, Arkansas. United States of America. https://southern.aspb.org/2023-annual-meeting-2/
Larsen H.N., Rasmussen O.W., Rasmussen P.H., Alstrup K.K., Biswas S.K., Tetens I., Thilsted S.H., Hermansen, K. Glycaemic index of parboiled rice depends on the severity of processing: Study in type 2 diabetic subjects. Eur. J. Clin. Nutr., 2000;54:380–385.
Ranawana D.V., Henry C.J.K., et al. Glycaemic index of some commercially available rice and rice products in Great Britain. Int. J. Food Sci. Nutr., 2009;60(s4):99–110.
Wolever T.M., Jenkins D.J., Josse R.G., et al. The glycemic index: similarity of values derived in insulin-dependent and non-insulin-dependent diabetic patients. Journal of the American College of Nutrition, 1987;6(4):295– 305.
Liu S., Willett W.C., et al. A prospective study of dietary glycemic load, carbohydrate intake, and risk of coronary heart disease in US women. Am. J. Clin. Nutr., 2000; 71(6):1455–1461.
Wolever T.M.S., Jenkins D.J.A. Effect of fiber and foods on carbohydrate metabolism. In: Handbook of Dietary Fiber in Human Nutrition. Spiller, G., Ed., CRC Press Inc., Boca Raton. 1986.
Gatti E., Testolin G., Noe D., Brighenti F., Buzzetti G.P., Porrino M., Sirtori, C.R. Plasma glucose and insulin responses to carbohydrate food (rice) with different thermal processing. Annals of Nutrition and Metabolism. 1987;31(5):296–303.
Rahman M., Malik M.A., et al. Glycaemic index of Pakistani staple foods in mixed meals for diabetics. J. Pak Med. Assoc., 1992;42(3):60–62.
Jenkins D.J.A., Wolever T.M.S., Jenkins A.L., Lee R., et al. The glycaemic index of foods tested in diabetic patients: a new basis for carbohydrate exchange favouring the use of legumes. Diabetologia. 1983;24(4):257– 264.
Dilawari J.B., Kamath P.S., et al. Reduction of postprandial plasma glucose by Bengal gram dal (Cicer arietinum) and rajmah (Phaseolus vulgaris). Am. J. Clin. Nutr., 1981;34(11):2450–2453.
Parastouei K., Shahaboddin M.E., Motalebi M., Mirhashemi S.M., Faraji A.M., Seyyedi F. Glycemic index of Iranian rice. Scientific Research and Essays, 2011;6:5302–5307.
Sato S., Fukumura K., et al. Glycemic index and glucose utilization of rice vermicelli in healthy subjects. Biol. Pharm. Bull., 2010;33(8):1385–1393.
Pathiraje P., Madhujith W.M.T., et al. The effect of rice variety and parboiling on in vivo glycemic response. 2010.
Hettiaratchi U.P.K., Ekanayake S., Welihinda J. Do different fractions of digestible carbohydrates in foods influence the glycaemic responses? Journal of Food and Agriculture, 2009;2(2):28–35.
Lin M., Wu M.C., Lu S., Lin, J. Glycemic index, glycemic load and insulinemic index of Chinese starchy foods. World J. Gastroentero, 2010;39:4973–4979.
Kurup P.G., Krishnamurthy S. Glycemic index of selected foodstuffs commonly used in south India. International journal for Vitamin and Nutrition Research. Internationale Zeitschrift fur Vitamin-und Ernahrungsforschung. Journal International de Vitaminologie et de Nutrition, 1991;62 (3):266–268.
Potter J.G., Coffman K.P., Reid R.L., Krall J.M., Albrink, M.J. Effect of test meals of varying dietary fiber content on plasma insulin and glucose response. The American Journal of Clinical Nutrition, 1981;34(3):328–334.
Holt S.H.A.; Brand-Miller J. Increased insulin responses to ingested foods are associated with lessened satiety. Appetite, 1995;24(1):43–54.
Al-Mssallem M.Q., Hampton S.M., et al. A study of Hassawi rice (Oryza sativa L.) in terms of its carbohydrate hydrolysis (in vitro) and glycaemic and insulinaemic indices (in vivo). Eur. J. Clin. Nutr., 2011;65(5):627– 634.
Rasmussen O., Gregersen S., Hermansen K. Influence of the amount of starch on the glycaemic index to rice in non-insulin-dependent diabetic subjects. British Journal of Nutrition, 1992;67(03):371–377.
Krezowski P.A., Nuttall F.Q., Gannon M.C., Billington C.J., Parker S. Insulin and glucose responses to various starch-containing foods in type II diabetic subjects. Diabetes Care, 1987;10(2):205–212.
Chan H.M.S., Brand-Miller J.C., Holt S.H.A., Wilson D., Rozman M., Petocz P. Original communication: The glycaemic index values of vietnamese foods. Eur. J. Clin. Nutr., 2001;55:1076–1083.
Trinidad T.P., Mallillin A.C., et al. Glycemic index of commonly consumed carbohydrate foods in the Philippines. J. Funct. Foods, 2010;2(4):271– 274.
Lok K.Y., Chan R., Chan D., Li L., Leung G., Woo J., Lightowler H.J., Henry C.J.K. Glycaemic index and glycaemic load values of a selection of popular foods consumed in Hong Kong. Brit. J. Nutr., 2010;103 (04):556–560
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