Dietary acid load as well as dietary phytochemical index, and association with multiple sclerosis: results from a case-control study.
Autoimmune diseases
Dietary acid load
Food frequency questionnaire
Inflammation
Iran
Multiple sclerosis
Neurodegeneration
Phytochemicals index
Journal
BMC nutrition
ISSN: 2055-0928
Titre abrégé: BMC Nutr
Pays: England
ID NLM: 101672434
Informations de publication
Date de publication:
01 Jul 2024
01 Jul 2024
Historique:
received:
20
11
2023
accepted:
19
06
2024
medline:
2
7
2024
pubmed:
2
7
2024
entrez:
2
7
2024
Statut:
epublish
Résumé
Multiple sclerosis (MS) is a chronic inflammatory disease characterized by central nervous system (CNS) lesions. Although the etiology and pathogenesis of MS remains unclear, nutrition is among the environmental factors that may be involved in developing MS. Currently, no specific diet has been associated with MS. This study aimed to investigate the relationship between the dietary phytochemical index (DPI), dietary acid load (DAL), and the risk of developing MS. This case‒control study was conducted on 174 patients with MS and 171 healthy individuals in Mashhad, Iran. Data were collected using a 160-item semiquantitative food frequency questionnaire (FFQ). The study investigated the association between DPI, DAL, and MS, considering anthropometric measures, dietary intake, smoking habits, and sex. DPI, potential renal acid load (PRAL), and net endogenous acid production (NEAP), as indicators of DAL, were calculated based on the FFQ. The study analyzed 345 participants, comprising 174 (50.4%) MS patients and 171 (49.6%) healthy individuals. The mean age of the participants was 32.45 ± 8.66 years. The DPI score was significantly lower among MS patients, while the NEAP and PRAL scores were significantly higher among MS patients compared to the healthy group. There was no relationship between NEAP (OR 1.001; 95% CI 0.959-1.044; P = 0.974) and PRAL (OR 1.019; 95% CI 0.979-1.061; P = 0.356) and MS incidence. The study found higher smoking and obesity rates in MS patients, with a reduced DPI score and increased DAL. Further studies are needed before recommending plant-based foods and dietary acid-base balance evaluation as therapeutic approach.
Identifiants
pubmed: 38951946
doi: 10.1186/s40795-024-00897-z
pii: 10.1186/s40795-024-00897-z
doi:
Types de publication
Journal Article
Langues
eng
Pagination
93Informations de copyright
© 2024. The Author(s).
Références
Matute-Blanch C, Montalban X, Comabella M. Chapter 5 - Multiple sclerosis, and other demyelinating and autoimmune inflammatory diseases of the central nervous system. In: Deisenhammer F, Teunissen CE, Tumani H, editors. Handbook of Clinical Neurology. 146: Elsevier; 2018. p. 67–84.
Keykhaei F, Norouzy S, Froughipour M, Nematy M, Saeidi M, Jarahi L, et al. Adherence to healthy dietary pattern is associated with lower risk of multiple sclerosis. J Central Nerv Syst Dis. 2022;14:11795735221092516.
Dobson R, Giovannoni G. Multiple sclerosis–a review. Eur J Neurol. 2019;26(1):27–40.
doi: 10.1111/ene.13819
pubmed: 30300457
Walton C, King R, Rechtman L, Kaye W, Leray E, Marrie RA, et al. Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS. Multiple Sclerosis J. 2020;26(14):1816–21.
doi: 10.1177/1352458520970841
Petković F, Castellano B. The role of interleukin-6 in central nervous system demyelination. Neural Regen Res. 2016;11(12):1922–3.
doi: 10.4103/1673-5374.195273
pubmed: 28197184
pmcid: 5270426
Waubant E, Lucas R, Mowry E, Graves J, Olsson T, Alfredsson L, Langer-Gould A. Environmental and genetic risk factors for MS: an integrated review. Ann Clin Transl Neurol. 2019;6(9):1905–22.
doi: 10.1002/acn3.50862
pubmed: 31392849
pmcid: 6764632
Esposito S, Bonavita S, Sparaco M, Gallo A, Tedeschi G. The role of diet in multiple sclerosis: A review. Nutr Neurosci. 2018;21(6):377–90.
doi: 10.1080/1028415X.2017.1303016
pubmed: 28338444
Fitzgerald KC, Tyry T, Cofield S, Salter A, Fox R, Cutter G, Marrie R-A. A survey of current dietary habits within a large population of people with multiple sclerosis. Mult Scler Relat Disord. 2018;22:12–18.
Hosseini Z, Behrouz M, Philippou E, Keykhaei F, Nematy M. Dietary patterns and risk of multiple sclerosis: A case control study. J Nutr Sci Dietetics. 2017;3(3):3–10.
Hatami A, Ahmadi-Khorram M, Keykhaei F, Esfehani AJ, Nematy M. Association between the risk of multiple sclerosis and dietary proinflammatory/anti-inflammatory food intake and dietary diversity: a case-control study. Clin Nutr Res. 2024;13(1):61–73.
doi: 10.7762/cnr.2024.13.1.61
pubmed: 38362132
pmcid: 10866681
Storz MA, Ronco AL, Hannibal L. Observational and clinical evidence that plant-based nutrition reduces dietary acid load. J Nutr Sci. 2022;11:e93.
doi: 10.1017/jns.2022.93
pubmed: 36405093
pmcid: 9641522
Shen J, Shan J, Zhong L, Liang B, Zhang D, Li M, Tang H. Dietary phytochemicals that can extend longevity by regulation of metabolism. Plant Foods Hum Nutr. 2022;77(1):12–9.
doi: 10.1007/s11130-021-00946-z
pubmed: 35025006
pmcid: 8756168
McCarty MF. Proposal for a dietary “phytochemical index.” Med Hypotheses. 2004;63(5):813–7.
doi: 10.1016/j.mehy.2002.11.004
pubmed: 15488652
Banerjee T, Crews DC, Wesson DE, Tilea A, Saran R, Rios Burrows N, et al. Dietary acid load and chronic kidney disease among adults in the United States. BMC Nephrol. 2014;15(1): 137.
doi: 10.1186/1471-2369-15-137
pubmed: 25151260
pmcid: 4151375
Buoso E, Biundo F, Attanzio A. New therapeutic approaches against inflammation and oxidative stress in neurodegeneration. Oxid Med Cell Longev. 2022;2022:9824350.
doi: 10.1155/2022/9824350
pubmed: 35633881
pmcid: 9135532
Javed H, Nagoor Meeran MF, Azimullah S, Adem A, Sadek B, Ojha SK. Plant extracts and phytochemicals targeting α-synuclein aggregation in Parkinson’s disease models. Front Pharmacol. 2019;9: 1555.
doi: 10.3389/fphar.2018.01555
pubmed: 30941047
pmcid: 6433754
Saeedirad Z, Ariyanfar S, Noormohammadi M, Ghorbani Z, Naser Moghadasi A, Shahemi S, et al. Higher dietary acid load might be a potent derivative factor for multiple sclerosis: the results from a case–control study. Nutrients. 2023;15(15): 3311.
doi: 10.3390/nu15153311
pubmed: 37571248
pmcid: 10420939
Ruiz-Argüelles A, Méndez-Huerta MA, Lozano CD, Ruiz-Argüelles GJ. Metabolomic profile of insulin resistance in patients with multiple sclerosis is associated to the severity of the disease. Multiple sclerosis and related disorders. 2018;25:316–21.
doi: 10.1016/j.msard.2018.08.014
pubmed: 30193201
Mahdavi A, Bagherniya M, Mirenayat MS, Atkin SL, Sahebkar A. Medicinal plants and phytochemicals regulating insulin resistance and glucose homeostasis in type 2 diabetic patients: a clinical review. Adv Exp Med Biol. 2021;1308:161–83.
doi: 10.1007/978-3-030-64872-5_13
pubmed: 33861444
Smeha L, Fassula AS, Franco Moreno YM, Gonzalez-Chica DA, Nunes EA. Dietary acid load is positively associated with insulin resistance: a population-based study. Clinical nutrition ESPEN. 2022;49:341–7.
doi: 10.1016/j.clnesp.2022.03.025
pubmed: 35623835
Ghazizahedi S, Nouri M, Norouzy A, Nemati M, Safarian M, Mohajeri SAR, et al. Scientific: validity and reproducibility of Iranian food frequency questionnaire. 2014.
Jahromi SR, Toghae M, Jahromi MJR, Aloosh M. Dietary pattern and risk of multiple sclerosis. Iran J Neurol. 2012;11(2):47.
pubmed: 24250861
pmcid: 3829243
Control CfD, Prevention. National health and nutrition examination survey (nhanes): Anthropometry procedures manual. Atlanta, GA: Centers for Disease Control and Prevention. 2007:15-6.
Organization WH. Obesity: preventing and managing the global epidemic: report of a WHO consultation. 2000. Report No.: 9241208945.
Frassetto LA, Todd KM, Morris RC Jr, Sebastian A. Estimation of net endogenous noncarbonic acid production in humans from diet potassium and protein contents. Am J Clin Nutr. 1998;68(3):576–83.
doi: 10.1093/ajcn/68.3.576
pubmed: 9734733
Remer T, Manz F. Estimation of the renal net acid excretion by adults consuming diets containing variable amounts of protein. Am J Clin Nutr. 1994;59(6):1356–61.
doi: 10.1093/ajcn/59.6.1356
pubmed: 8198060
Schober P, Vetter TR. Logistic regression in medical research. Anesth Analg. 2021;132(2):365–6.
doi: 10.1213/ANE.0000000000005247
pubmed: 33449558
pmcid: 7785709
Gianfrancesco MA, Barcellos LF. Obesity and multiple sclerosis susceptibility: a review. J Neurol Neuromedicine. 2016;1(7):1.
doi: 10.29245/2572.942X/2016/7.1064
pubmed: 27990499
pmcid: 5156319
Munger KL, Chitnis T, Ascherio A. Body size and risk of MS in two cohorts of US women. Neurology. 2009;73(19):1543–50.
doi: 10.1212/WNL.0b013e3181c0d6e0
pubmed: 19901245
pmcid: 2777074
Hedström AK, Olsson T, Alfredsson L. High body mass index before age 20 is associated with increased risk for multiple sclerosis in both men and women. Mult Scler J. 2012;18(9):1334–6.
doi: 10.1177/1352458512436596
Wesnes K, Riise T, Casetta I, Drulovic J, Granieri E, Holmøy T, et al. Body size and the risk of multiple sclerosis in Norway and Italy: the EnvIMS study. Mult Scler J. 2015;21(4):388–95.
doi: 10.1177/1352458514546785
De Heredia FP, Gómez-Martínez S, Marcos A. Obesity, inflammation and the immune system. Proceedings of the Nutrition Society. 2012;71(2):332–8.
doi: 10.1017/S0029665112000092
pubmed: 22429824
Stoiloudis P, Kesidou E, Bakirtzis C, Sintila SA, Konstantinidou N, Boziki M, Grigoriadis N. The role of diet and interventions on multiple sclerosis: a review. Nutrients. 2022;14(6):1150.
doi: 10.3390/nu14061150
pubmed: 35334810
pmcid: 8955724
Greer JM, McCombe PA. Role of gender in multiple sclerosis: clinical effects and potential molecular mechanisms. J Neuroimmunol. 2011;234(1–2):7–18.
doi: 10.1016/j.jneuroim.2011.03.003
pubmed: 21474189
Hedström AK, Hillert J, Olsson T, Alfredsson L. Smoking and multiple sclerosis susceptibility. Eur J Epidemiol. 2013;28(11):867–74.
doi: 10.1007/s10654-013-9853-4
pubmed: 24146047
pmcid: 3898140
Liu X, Morris MC, Dhana K, Ventrelle J, Johnson K, Bishop L, et al. Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) study: Rationale, design and baseline characteristics of a randomized control trial of the MIND diet on cognitive decline. Contemp Clin Trials. 2021;102:106270.
doi: 10.1016/j.cct.2021.106270
pubmed: 33434704
pmcid: 8042655
Saeedirad Z, Ariyanfar S, Noormohammadi M, Ghorbani Z, Naser Moghadasi A, Shahemi S, et al. Higher dietary acid load might be a potent derivative factor for multiple sclerosis: the results from a case-control study. Nutrients. 2023;15(15):3311.
Koskderelioglu A, Gedizlioglu M, Eskut N, Tamer P, Yalcin G, Bozkaya G. Impact of chemerin, lipid profile, and insulin resistance on disease parameters in patients with multiple sclerosis. Neurol Sci. 2021;42(6):2471–9.
doi: 10.1007/s10072-020-04847-y
pubmed: 33097973