{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T14:24:37Z","timestamp":1768746277046,"version":"3.49.0"},"reference-count":147,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,2,16]],"date-time":"2022-02-16T00:00:00Z","timestamp":1644969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,16]],"date-time":"2022-02-16T00:00:00Z","timestamp":1644969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s11517-022-02505-3","type":"journal-article","created":{"date-parts":[[2022,2,16]],"date-time":"2022-02-16T06:03:54Z","timestamp":1644991434000},"page":"991-1013","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Exploring diet associations with Covid-19 and other diseases: a Network Analysis\u2013based approach"],"prefix":"10.1007","volume":"60","author":[{"given":"Rashmeet","family":"Toor","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inderveer","family":"Chana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,2,16]]},"reference":[{"key":"2505_CR1","unstructured":"\u201cCoronavirus disease 2019.\u201d [Online]. Available: https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019. [Accessed: 01-May-2020]."},{"issue":"1","key":"2505_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12879-019-4717-5","volume":"20","author":"MC Chang","year":"2020","unstructured":"Chang MC, Park YK, Kim BO, Park D (2020) Risk factors for disease progression in COVID-19 patients. BMC Infect Dis 20(1):1\u20136","journal-title":"BMC Infect Dis"},{"key":"2505_CR3","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ijid.2020.03.017","volume":"94","author":"J Yang","year":"2020","unstructured":"Yang J et al (2020) Prevalence of comorbidities and its effects in coronavirus disease 2019 patients: a systematic review and meta-analysis. Int J Infect Dis 94:91\u201395","journal-title":"Int J Infect Dis"},{"key":"2505_CR4","doi-asserted-by":"crossref","unstructured":"Adekunle, Sanyaolu Chuku, Okorie Aleksandra, Marinkovic Risha, Patidar Kokab, Younis Priyank, Desai Zaheeda, Hosein Inderbir, Padda Jasmine, Mangat Mohsin, Altaf (2020) Comorbidity and its Impact on Patients with COVID-19. SN Comprehensive Clinical Medicine 2(8) 1069-1076 10.1007\/s42399-020-00363-4","DOI":"10.1007\/s42399-020-00363-4"},{"issue":"7","key":"2505_CR5","doi-asserted-by":"publisher","first-page":"6049","DOI":"10.18632\/aging.103000","volume":"12","author":"Bolin Wang","year":"2020","unstructured":"Bolin, Wang Ruobao, Li Zhong, Lu Yan, Huang (2020) Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis. Aging 12(7) 6049-6057 10.18632\/aging.103000","journal-title":"Aging"},{"issue":"8","key":"2505_CR6","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1038\/s41591-020-0965-6","volume":"26","author":"QX Long","year":"2020","unstructured":"Long QX et al (2020) Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nat Med 26(8):1200\u20131204","journal-title":"Nat Med"},{"issue":"6","key":"2505_CR7","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1038\/s41577-020-0311-8","volume":"20","author":"MZ Tay","year":"2020","unstructured":"Tay MZ, Poh CM, R\u00e9nia L, MacAry PA, Ng LFP (2020) The trinity of COVID-19: immunity, inflammation and intervention. Nat Rev Immunol 20(6):363\u2013374","journal-title":"Nat Rev Immunol"},{"issue":"1","key":"2505_CR8","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1136\/bmjnph-2020-000085","volume":"3","author":"PC Calder","year":"2020","unstructured":"Calder PC (2020) Nutrition, immunity and COVID-19. BMJ Nutr Prev Health 3(1):74","journal-title":"BMJ Nutr Prev Health"},{"key":"2505_CR9","doi-asserted-by":"crossref","unstructured":"Gasmi A, Noor S, Tippairote T, Dadar M, Menzel A, Bj\u00f8rklund G (2020108409) Individual risk management strategy and potential therapeutic options for the COVID-19 pandemic. Clin Immunoly 215","DOI":"10.1016\/j.clim.2020.108409"},{"issue":"8","key":"2505_CR10","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1038\/s41430-020-0634-3","volume":"74","author":"F Naja","year":"2020","unstructured":"Naja F, Hamadeh R (2020) Nutrition amid the COVID-19 pandemic: a multi-level framework for action. Eur J Clin Nutr 74(8):1117\u20131121","journal-title":"Eur J Clin Nutr"},{"issue":"6","key":"2505_CR11","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1038\/s41430-020-0635-2","volume":"74","author":"G Muscogiuri","year":"2020","unstructured":"Muscogiuri G, Barrea L, Savastano S, Colao A (2020) Nutritional recommendations for CoVID-19 quarantine. Eur J Clin Nutr 74(6):850\u2013851","journal-title":"Eur J Clin Nutr"},{"key":"2505_CR12","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.bbi.2020.04.040","volume":"87","author":"MJ Butler","year":"2020","unstructured":"Butler MJ, Barrientos RM (2020) The impact of nutrition on COVID-19 susceptibility and long-term consequences. Brain Behav Immun 87:53\u201354","journal-title":"Brain Behav Immun"},{"key":"2505_CR13","doi-asserted-by":"crossref","unstructured":"Bhattacharyya M (2015) Disease dietomics. XRDS: Crossroads, The ACM Mag Stud 21(4):38\u201344","DOI":"10.1145\/2788508"},{"issue":"3","key":"2505_CR14","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1109\/TNB.2017.2654121","volume":"16","author":"M Bhattacharyya","year":"2017","unstructured":"Bhattacharyya M, Maity S, Bandyopadhyay S (2017) Exploring the Missing Links between Dietary Habits and Diseases. IEEE Trans Nanobiosci 16(3):226\u2013238","journal-title":"IEEE Trans Nanobiosci"},{"issue":"5","key":"2505_CR15","doi-asserted-by":"crossref","first-page":"1453","DOI":"10.1109\/TCBB.2017.2752703","volume":"15","author":"W Bao","year":"2018","unstructured":"Bao W et al (2018) Mutli-Features Prediction of Protein Translational Modification Sites. IEEE\/ACM Trans Comput Biol Bioinforma 15(5):1453\u20131460","journal-title":"IEEE\/ACM Trans Comput Biol Bioinforma"},{"key":"2505_CR16","doi-asserted-by":"crossref","first-page":"104351","DOI":"10.1016\/j.chemolab.2021.104351","volume":"215","author":"W Bao","year":"2021","unstructured":"Bao W, Yang B, Chen B (2021) 2-hydr_Ensemble: Lysine 2-hydroxyisobutyrylation identification with ensemble method. Chemom Intell Lab Syst 215:104351","journal-title":"Chemom Intell Lab Syst"},{"issue":"1","key":"2505_CR17","doi-asserted-by":"crossref","first-page":"59","DOI":"10.2174\/1574893614666190730110747","volume":"15","author":"W Bao","year":"2020","unstructured":"Bao W, Huang D-S, Chen Y-H (2020) MSIT: Malonylation Sites Identification Tree. Curr Bioinforma 15(1):59\u201367","journal-title":"Curr Bioinforma"},{"issue":"3","key":"2505_CR18","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1007\/s11831-020-09435-z","volume":"28","author":"R Toor","year":"2020","unstructured":"Toor R, Chana I (2020) Network analysis as a computational technique and its benefaction for predictive analysis of healthcare data: a systematic review. Arch Comput Methods Eng 28(3):1689\u20131711","journal-title":"Arch Comput Methods Eng"},{"key":"2505_CR19","unstructured":"\u201cNetwork Analysis. Lecture 1. Introduction to Network Science - YouTube.\u201d [Online]. Available: https:\/\/www.youtube.com\/watch?v=UHnmPu8Zevg. [Accessed: 08-Oct-2020]"},{"key":"2505_CR20","unstructured":"\u201cGraph Analytics for Big Data | Coursera.\u201d [Online]. Available: https:\/\/www.coursera.org\/learn\/big-data-graph-analytics. [Accessed: 08-Oct-2020]"},{"key":"2505_CR21","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.jbi.2016.10.003","volume":"64","author":"Z Razaghi-Moghadam","year":"2016","unstructured":"Razaghi-Moghadam Z, Abdollahi R, Goliaei S, Ebrahimi M (2016) HybridRanker: integrating network topology and biomedical knowledge to prioritize cancer candidate genes. J Biomed Inf 64:139\u2013146","journal-title":"J Biomed Inf"},{"issue":"5","key":"2505_CR22","doi-asserted-by":"publisher","first-page":"e58977","DOI":"10.1371\/journal.pone.0058977","volume":"8","author":"U. Martin Singh-Blom","year":"2013","unstructured":"U. Martin, Singh-Blom Nagarajan, Natarajan Ambuj, Tewari John O., Woods Inderjit S., Dhillon Edward M., Marcotte Patrick, Aloy (2013) Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses. PLoS ONE 8(5) e58977-10.1371\/journal.pone.0058977","journal-title":"PLoS ONE"},{"issue":"1","key":"2505_CR23","first-page":"1","volume":"5","author":"X Zhou","year":"2014","unstructured":"Zhou X, Menche J, Barab\u00e1si AL, Sharma A (2014) Human symptoms-disease network. Nat Commun 5(1):1\u201310","journal-title":"Nat Commun"},{"key":"2505_CR24","doi-asserted-by":"crossref","unstructured":"Ma W, Zhang L, Zeng P, Huang C, \u2026 JL-B In, and U (2017) An analysis of human microbe\u2013disease associations. academicoupcom 18(1):85\u201397","DOI":"10.1093\/bib\/bbw005"},{"issue":"9","key":"2505_CR25","doi-asserted-by":"crossref","first-page":"e2019722","DOI":"10.1001\/jamanetworkopen.2020.19722","volume":"3","author":"DO Meltzer","year":"2020","unstructured":"Meltzer DO, Best TJ, Zhang H, Vokes T, Arora V, Solway J (2020) Association of Vitamin D Status and Other Clinical Characteristics With COVID-19 Test Results. JAMA Netw Open 3(9):e2019722\u2013e2019722","journal-title":"JAMA Netw Open"},{"key":"2505_CR26","doi-asserted-by":"crossref","unstructured":"Quan, Zou Jinjin, Li Qingqi, Hong Ziyu, Lin Yun, Wu Hua, Shi Ying, Ju (2015) Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods. BioMed Research International 20151-9 10.1155\/2015\/810514","DOI":"10.1155\/2015\/810514"},{"key":"2505_CR27","doi-asserted-by":"crossref","unstructured":"Razeghi Jahromi S et al. (2021) The correlation between serum selenium, zinc, and COVID-19 severity: an observational study. BMC Infect Dis 21(1):1\u20139","DOI":"10.1186\/s12879-021-06617-3"},{"key":"2505_CR28","doi-asserted-by":"crossref","unstructured":"Abdulah DM, Hassan AB (2020) Relation of Dietary Factors with Infection and Mortality Rates of COVID-19 across the World. J Nutr Health Aging 24(9):1011\u20131018","DOI":"10.1007\/s12603-020-1512-3"},{"key":"2505_CR29","doi-asserted-by":"crossref","unstructured":"Gasmi A et al (2020) Micronutrients as immunomodulatory tools for COVID-19 management. Clin Immunol 220:108545","DOI":"10.1016\/j.clim.2020.108545"},{"key":"2505_CR30","doi-asserted-by":"crossref","unstructured":"Jayawardena R, Sooriyaarachchi P, Chourdakis M, Jeewandara C, Ranasinghe P (2020) Enhancing immunity in viral infections, with special emphasis on COVID-19: a review. Diabetes Metab Syndr 14(4):367\u2013382","DOI":"10.1016\/j.dsx.2020.04.015"},{"issue":"6","key":"2505_CR31","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.1007\/s43440-020-00176-1","volume":"72","author":"A Abobaker","year":"2020","unstructured":"Abobaker A, Alzwi A, Alraied AHA (2020) Overview of the possible role of vitamin C in management of COVID-19. Pharmacol Rep 72(6):1517\u20131528","journal-title":"Pharmacol Rep"},{"issue":"3","key":"2505_CR32","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1007\/s13668-020-00325-1","volume":"9","author":"S Budhwar","year":"2020","unstructured":"Budhwar S, Sethi K, Chakraborty M (2020) A Rapid Advice Guideline for the Prevention of Novel Coronavirus Through Nutritional Intervention. Curr Nutr Rep 9(3):119\u2013128","journal-title":"Curr Nutr Rep"},{"issue":"3","key":"2505_CR33","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1007\/s11130-021-00907-6","volume":"76","author":"JN Losso","year":"2021","unstructured":"Losso JN, Losso MJN, Toc M, Inungu JN, Finley JW (2021) The Young Age and Plant-Based Diet Hypothesis for Low SARS-CoV-2 Infection and COVID-19 Pandemic in Sub-Saharan Africa. Plant Foods Hum Nutr 76(3):270\u2013280","journal-title":"Plant Foods Hum Nutr"},{"issue":"10","key":"2505_CR34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40137-021-00301-w","volume":"9","author":"J Rocha","year":"2021","unstructured":"Rocha J, Basra T, El Kurdi B, Venegas-Borsellino C (2021) Effects of Potential Micro- and Macro-nutrients in Combatting COVID-19. Curr Surg Rep 9(10):1\u20136","journal-title":"Curr Surg Rep"},{"key":"2505_CR35","volume-title":"Encyclopedia of Social Network Analysis and Mining,\u201d Encyclopedia of Social Network Analysis and Mining","year":"2018","unstructured":"Alhajj Reda, Rokne Jon (eds) (2018) Encyclopedia of Social Network Analysis and Mining,\u201d Encyclopedia of Social Network Analysis and Mining. Springer, New York"},{"issue":"8","key":"2505_CR36","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1080\/1062936X.2016.1209241","volume":"27","author":"H Moghadam","year":"2016","unstructured":"Moghadam H, Rahgozar M, Gharaghani S (2016) Scoring multiple features to predict drug disease associations using information fusion and aggregation. SAR QSAR Environ Res 27(8):609\u2013628","journal-title":"SAR QSAR Environ Res"},{"issue":"1","key":"2505_CR37","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1177\/1460458217702943","volume":"25","author":"N Carroll","year":"2019","unstructured":"Carroll N, Richardson I (2019) Mapping a Careflow Network to assess the connectedness of Connected Health. Health Inform J 25(1):106\u2013125","journal-title":"Health Inform J"},{"issue":"3","key":"2505_CR38","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.physrep.2012.03.001","volume":"519","author":"P Holme","year":"2012","unstructured":"Holme P, Saram\u00e4ki J (2012) Temporal networks. Phys Rep 519(3):97\u2013125","journal-title":"Phys Rep"},{"issue":"11","key":"2505_CR39","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s10654-013-9852-5","volume":"28","author":"D Aune","year":"2013","unstructured":"Aune D, Norat T, Romundstad P, Vatten LJ (2013) Whole grain and refined grain consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies. Eur J Epidemiol 28(11):845\u2013858","journal-title":"Eur J Epidemiol"},{"issue":"5","key":"2505_CR40","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/s10654-017-0246-y","volume":"32","author":"L Schwingshackl","year":"2017","unstructured":"Schwingshackl L et al (2017) Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol 32(5):363\u2013375","journal-title":"Eur J Epidemiol"},{"issue":"2","key":"2505_CR41","doi-asserted-by":"crossref","first-page":"569","DOI":"10.2337\/dc13-1203","volume":"37","author":"M Ding","year":"2014","unstructured":"Ding M, Bhupathiraju SN, Chen M, Van Dam RM, Hu FB (2014) Caffeinated and decaffeinated coffee consumption and risk of type 2 diabetes: a systematic review and a dose-response meta-analysis. Diabetes Care 37(2):569\u2013586","journal-title":"Diabetes Care"},{"issue":"1","key":"2505_CR42","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.ipm.2016.10.001","volume":"53","author":"J Wu","year":"2017","unstructured":"Wu J, Zhang G, Ren Y (2017) A balanced modularity maximization link prediction model in social networks. Inf Process Manag 53(1):295\u2013307","journal-title":"Inf Process Manag"},{"issue":"10","key":"2505_CR43","doi-asserted-by":"crossref","first-page":"e111668","DOI":"10.1371\/journal.pone.0111668","volume":"9","author":"M Oh","year":"2014","unstructured":"Oh M, Ahn J, Yoon Y (2014) A network-based classification model for deriving novel drug-disease associations and assessing their molecular actions. PLoS ONE 9(10):e111668","journal-title":"PLoS ONE"},{"key":"2505_CR44","unstructured":"\u201cPersonalized Nutrition Project.\u201d [Online]. Available: http:\/\/newsite.personalnutrition.org\/WebSite\/Home.aspx. [Accessed: 10-Oct-2020]"},{"key":"2505_CR45","unstructured":"\u201c100K Wellness Project \u00b7 Institute for Systems Biology.\u201d [Online]. Available: https:\/\/isbscience.org\/research\/100k-wellness-project\/. [Accessed: 24-Jul-2021]"},{"key":"2505_CR46","unstructured":"\u201cEating & Health Module Dataset | Kaggle.\u201d [Online]. Available: https:\/\/www.kaggle.com\/bls\/eating-health-module-dataset. [Accessed: 10-Oct-2020]"},{"issue":"5","key":"2505_CR47","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1002\/jmv.25707","volume":"92","author":"L Zhang","year":"2020","unstructured":"Zhang L, Liu Y (2020) Potential interventions for novel coronavirus in China: a systematic review. J Med Virol 92(5):479\u2013490","journal-title":"J Med Virol"},{"key":"2505_CR48","unstructured":"\u201cMedical Subject Headings.\u201d [Online]. Available: https:\/\/www.nlm.nih.gov\/mesh\/meshhome.html. [Accessed: 10-2-2022]"},{"key":"2505_CR49","unstructured":"\u201cHome - PubMed - NCBI.\u201d [Online]. Available: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/. [Accessed: 11-Feb-2020]"},{"key":"2505_CR50","unstructured":"Jones KS (1972) A statistical interpretation of term specificity and its application in retrieval. 1972. J Inf Sci Eng"},{"issue":"2","key":"2505_CR51","doi-asserted-by":"crossref","first-page":"152","DOI":"10.5395\/rde.2017.42.2.152","volume":"42","author":"H-Y Kim","year":"2017","unstructured":"Kim H-Y (2017) Statistical notes for clinical researchers: Chi-squared test and Fisher\u2019s exact test. Restor Dent Endod 42(2):152\u2013155","journal-title":"Restorative dentistry & endodontics"},{"key":"2505_CR52","doi-asserted-by":"crossref","first-page":"104219","DOI":"10.1016\/j.compbiomed.2021.104219","volume":"130","author":"MK Singh","year":"2021","unstructured":"Singh MK, Mobeen A, Chandra A, Joshi S, Ramachandran S (2021) A meta-analysis of comorbidities in COVID-19: which diseases increase the susceptibility of SARS-CoV-2 infection? Comput Biol Med 130:104219","journal-title":"Comput Biol Med"},{"issue":"9","key":"2505_CR53","doi-asserted-by":"crossref","first-page":"107621","DOI":"10.1016\/j.jdiacomp.2020.107621","volume":"34","author":"I Kyrou","year":"2020","unstructured":"Kyrou I, Robbins T, Randeva HS (2020) COVID-19 and diabetes: no time to drag our feet during an untimely pandemic. J Diabetes Complicat 34(9):107621","journal-title":"J Diabetes Complicat"},{"issue":"10","key":"2505_CR54","doi-asserted-by":"crossref","first-page":"e13338","DOI":"10.1111\/eci.13338","volume":"50","author":"P Portincasa","year":"2020","unstructured":"Portincasa P, Krawczyk M, Smyk W, Lammert F, Di Ciaula A (2020) COVID-19 and non-alcoholic fatty liver disease: Two intersecting pandemics. Eur JClin Investig 50(10):e13338","journal-title":"Eur JClin Investig"},{"key":"2505_CR55","doi-asserted-by":"crossref","unstructured":"Prins GH, Olinga P (2020) Potential implications of COVID-19 in non-alcoholic fatty liver disease. Liver Int","DOI":"10.1111\/liv.14484"},{"issue":"12","key":"2505_CR56","doi-asserted-by":"crossref","first-page":"1758","DOI":"10.1002\/hep4.1592","volume":"4","author":"R Huang","year":"2020","unstructured":"Huang R et al (2020) Clinical Features of Patients With COVID-19 With Nonalcoholic Fatty Liver Disease. Hepatol Commun 4(12):1758\u20131768","journal-title":"Hepatology communications"},{"key":"2505_CR57","unstructured":"\u201c6.3. Preprocessing data \u2014 scikit-learn 1.0.1 documentation.\u201d [Online]. Available: https:\/\/scikit-learn.org\/stable\/modules\/preprocessing.html. [Accessed: 06-Dec-2021]"},{"issue":"1","key":"2505_CR58","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1504\/IJKESDP.2009.021985","volume":"1","author":"MJ Lesot","year":"2009","unstructured":"Lesot MJ, Rifqi M, Benhadda H (2009) Similarity measures for binary and numerical data: a survey. Int J Knowl Eng Soft Data Paradigms 1(1):63\u201384","journal-title":"Int J Knowl Eng Soft Data Paradigms"},{"issue":"10","key":"2505_CR59","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1093\/bioinformatics\/btm087","volume":"23","author":"JZ Wang","year":"2007","unstructured":"Wang JZ, Du Z, Payattakool R, Yu PS, Chen CF (2007) A new method to measure the semantic similarity of GO terms. Bioinformatics 23(10):1274\u20131281","journal-title":"Bioinformatics"},{"issue":"11","key":"2505_CR60","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.1093\/bioinformatics\/bty002","volume":"34","author":"L Cheng","year":"2018","unstructured":"Cheng L, Hu Y, Sun J, Zhou M, Jiang Q (2018) DincRNA: A comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function. Bioinformatics 34(11):1953\u20131956","journal-title":"Bioinformatics"},{"issue":"4","key":"2505_CR61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3012704","volume":"49","author":"V Mart\u00ednez","year":"2016","unstructured":"Mart\u00ednez V, Berzal F, Cubero JC (2016) A survey of link prediction in complex networks. ACM Comput Surv 49(4):1\u201333","journal-title":"ACM Comput Surv"},{"key":"2505_CR62","doi-asserted-by":"crossref","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"10","author":"VD Blondel","year":"2008","unstructured":"Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 10:P10008","journal-title":"J Stat Mech Theory Exp"},{"key":"2505_CR63","unstructured":"Page L, Brin S, Motwani R, Winograd T (1998) The PageRank Citation Ranking: Bringing Order to the Web"},{"issue":"1","key":"2505_CR64","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s00394-016-1315-9","volume":"57","author":"AE Yanni","year":"2018","unstructured":"Yanni AE et al (2018) Controlling type-2 diabetes by inclusion of Cr-enriched yeast bread in the daily dietary pattern: a randomized clinical trial. Eur J Nutr 57(1):259\u2013267","journal-title":"European journal of nutrition"},{"issue":"9","key":"2505_CR65","doi-asserted-by":"crossref","first-page":"1434","DOI":"10.1093\/jn\/nxy112","volume":"148","author":"C Kyr\u00f8","year":"2018","unstructured":"Kyr\u00f8 C, Tj\u00f8nneland A, Overvad K, Olsen A, Landberg R (2018) Higher whole-grain intake is associated with lower risk of type 2 diabetes among middle-aged men and women: the Danish diet, cancer, and health cohort. J Nutr 148(9):1434\u20131444","journal-title":"J Nutr"},{"issue":"6","key":"2505_CR66","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1017\/S0007114512003017","volume":"109","author":"U Ericson","year":"2013","unstructured":"Ericson U et al (2013) High intakes of protein and processed meat associate with increased incidence of type 2 diabetes. Br J Nutr 109(6):1143\u20131153","journal-title":"Br J Nutr"},{"issue":"2","key":"2505_CR67","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.diabet.2008.09.004","volume":"35","author":"S Liatis","year":"2009","unstructured":"Liatis S et al (2009) The consumption of bread enriched with betaglucan reduces LDL-cholesterol and improves insulin resistance in patients with type 2 diabetes. Diabetes Metab 35(2):115\u2013120","journal-title":"Diabetes Metab"},{"key":"2505_CR68","doi-asserted-by":"crossref","unstructured":"Akhoundan M, et al. (2016) The association of bread and rice with metabolic factors in type 2 diabetic patients. PLoS ONE 11(12)","DOI":"10.1371\/journal.pone.0167921"},{"key":"2505_CR69","doi-asserted-by":"crossref","unstructured":"Haimoto H, Watanabe S, Maeda K, Murase T, Wakai K (2020) Reducing carbohydrate from individual sources has differential effects on glycosylated hemoglobin in Type 2 Diabetes Mellitus Patients on Moderate Low-Carbohydrate Diets. Diabetes Metab 44","DOI":"10.4093\/dmj.2020.0033"},{"issue":"5","key":"2505_CR70","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/s10654-017-0246-y","volume":"32","author":"L Schwingshackl","year":"2017","unstructured":"Schwingshackl L et al (2017) Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol 32(5):363\u2013375","journal-title":"European journal of epidemiology"},{"issue":"11","key":"2505_CR71","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s10654-013-9852-5","volume":"28","author":"D Aune","year":"2013","unstructured":"Aune D, Norat T, Romundstad P, Vatten LJ (2013) Whole grain and refined grain consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies. Eur J Epidemiol 28(11):845\u2013858","journal-title":"Eur J Epidemiol"},{"key":"2505_CR72","unstructured":"Basiak-Rasa\u0142a A, R\u00f3\u017ca\u0144ska D, Zato\u0144ska K (2019) Food groups in dietary prevention of type 2 diabetes. Roczniki Panstwowego Zakladu Higieny 70(4)"},{"issue":"2","key":"2505_CR73","doi-asserted-by":"crossref","first-page":"132","DOI":"10.3923\/pjbs.2020.132.138","volume":"23","author":"SGN Gabrial","year":"2020","unstructured":"Gabrial SGN, Shakib MCR, Haleem MSMA, Gabrial GN, El-Shobaki FA (2020) Hypoglycemic potential of supplementation with a vegetable and legume juice formula in type 2 diabetic patients. Pak J Biol Sci 23(2):132\u2013138","journal-title":"Pakistan Journal of Biological Sciences: PJBS"},{"issue":"2","key":"2505_CR74","doi-asserted-by":"crossref","first-page":"S207","DOI":"10.4103\/0973-1296.133211","volume":"10","author":"A Tiwari","year":"2014","unstructured":"Tiwari A (2014) Revisiting \u2018Vegetables\u2019 to combat modern epidemic of imbalanced glucose homeostasis. Pharmacogn Mag 10(2):S207","journal-title":"Pharmacogn Mag"},{"issue":"9933","key":"2505_CR75","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1016\/S0140-6736(14)60613-9","volume":"383","author":"SH Ley","year":"2014","unstructured":"Ley SH, Hamdy O, Mohan V, Hu FB (2014) Prevention and management of type 2 diabetes: dietary components and nutritional strategies. Lancet 383(9933):1999\u20132007 (Elsevier B.V.)","journal-title":"Lancet"},{"issue":"6","key":"2505_CR76","doi-asserted-by":"crossref","first-page":"1174","DOI":"10.3945\/jn.116.242552","volume":"147","author":"F Jannasch","year":"2017","unstructured":"Jannasch F, Kr\u00f6ger J, Schulze MB (2017) Dietary patterns and type 2 diabetes: a systematic literature review and meta-analysis of prospective studies. J Nutr 147(6):1174\u20131182","journal-title":"J Nutr"},{"issue":"SUPPL","key":"2505_CR77","first-page":"2","volume":"21","author":"J Salas-Salvad\u00f3","year":"2011","unstructured":"Salas-Salvad\u00f3 J, Martinez-Gonz\u00e1lez M\u00c1, Bull\u00f3 M, Ros E (2011) The role of diet in the prevention of type 2 diabetes. Nutr Metab Cardiovasc Dis 21(SUPPL):2","journal-title":"Nutr Metab Cardiovasc Dis"},{"issue":"11","key":"2505_CR78","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11892-019-1251-1","volume":"19","author":"GD Carrasquilla","year":"2019","unstructured":"Carrasquilla GD, Jakupovi\u0107 H, Kilpel\u00e4inen TO (2019) Dietary fat and the genetic risk of type 2 diabetes. Curr Diabetes Rep 19(11):1\u20136","journal-title":"Curr Diabetes Rep"},{"issue":"4","key":"2505_CR79","doi-asserted-by":"crossref","first-page":"780","DOI":"10.3945\/ajcn.115.112581","volume":"102","author":"J Tay","year":"2015","unstructured":"Tay J et al (2015) Comparison of low- and high-carbohydrate diets for type 2 diabetes management: a randomized trial. Am J Clin Nutr 102(4):780\u2013790","journal-title":"Am J Clin Nutr"},{"issue":"4","key":"2505_CR80","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1007\/s00394-016-1206-0","volume":"55","author":"RMM Santos","year":"2016","unstructured":"Santos RMM, Lima DRA (2016) Coffee consumption, obesity and type 2 diabetes: a mini-review. Eur J Nutr 55(4):1345\u20131358 (Dr. Dietrich Steinkopff Verlag GmbH and Co. KG)","journal-title":"Eur J Nutr"},{"key":"2505_CR81","doi-asserted-by":"crossref","unstructured":"Guasch-Ferr\u00e9 M, Merino J, Sun Q, Fit\u00f3 M, Salas-Salvad\u00f3 J (2017) Dietary polyphenols, Mediterranean diet, prediabetes, and type 2 diabetes: a narrative review of the evidence. Oxidative Med Cell Longev 2017","DOI":"10.1155\/2017\/6723931"},{"issue":"6","key":"2505_CR82","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1093\/nutrit\/nuy014","volume":"76","author":"M Carlstr\u00f6m","year":"2018","unstructured":"Carlstr\u00f6m M, Larsson SC (2018) \u201cCoffee consumption and reduced risk of developing type 2 diabetes: a systematic review with meta-analysis. Nutr Rev 76(6):395\u2013417 (Oxford University Press)","journal-title":"Nutrition reviews"},{"key":"2505_CR83","doi-asserted-by":"crossref","unstructured":"Neuenschwander M, et al. (2019) Role of diet in type 2 diabetes incidence: umbrella review of meta-analyses of prospective observational studies. BMJ 366 BMJ Publishing Group","DOI":"10.1136\/bmj.l2368"},{"issue":"4","key":"2505_CR84","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.3945\/ajcn.111.018978","volume":"94","author":"A Pan","year":"2011","unstructured":"Pan A et al (2011) Red meat consumption and risk of type 2 diabetes: 3 Cohorts of US adults and an updated meta-analysis. Am J Clin Nutr 94(4):1088\u20131096","journal-title":"Am J Clin Nutr"},{"key":"2505_CR85","doi-asserted-by":"crossref","unstructured":"Shetty SS, Kumari SN, Shetty PK (2020) \u03c9-6\/\u03c9-3 fatty acid ratio as an essential predictive biomarker in the management of type 2 diabetes mellitus. Nutrition (Burbank, Los Angeles County, Calif) 79\u201380","DOI":"10.1016\/j.nut.2020.110968"},{"key":"2505_CR86","doi-asserted-by":"crossref","unstructured":"Misra A, Singhal N, Khurana L (2010) Obesity, the metabolic syndrome, and type 2 diabetes in developing countries: role of dietary fats and oils. J Am Coll Nutr 29(3 Suppl):289S-301S","DOI":"10.1080\/07315724.2010.10719844"},{"issue":"2","key":"2505_CR87","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.jdiacomp.2017.11.002","volume":"32","author":"KM Davison","year":"2018","unstructured":"Davison KM, Temple NJ (2018) Cereal fiber, fruit fiber, and type 2 diabetes: explaining the paradox. J Diabetes Complicat 32(2):240\u2013245","journal-title":"J Diabetes Complicat"},{"issue":"6380","key":"2505_CR88","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1126\/science.aao5774","volume":"359","author":"L Zhao","year":"2018","unstructured":"Zhao L et al (2018) Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes. Science (New York, NY) 359(6380):1151\u20131156","journal-title":"Science (New York, NY)"},{"issue":"3","key":"2505_CR89","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1177\/1043659613514115","volume":"25","author":"NS Pcsolyar","year":"2014","unstructured":"Pcsolyar NS, de Jonghe BC (2014) Examining the Use of Dietary Fiber in Reducing the Risk of Type 2 Diabetes Mellitus in Latino Youth. J Transcult Nurs 25(3):249\u2013255","journal-title":"J Transcult Nurs"},{"key":"2505_CR90","doi-asserted-by":"crossref","unstructured":"Jung CH, Choi KM (2017) Impact of High-Carbohydrate Diet on Metabolic Parameters in Patients with Type 2 Diabetes. Nutrients 9(4)","DOI":"10.3390\/nu9040322"},{"issue":"5","key":"2505_CR91","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1097\/MED.0000000000000569","volume":"27","author":"BJ O\u2019Neill","year":"2020","unstructured":"O\u2019Neill BJ (2020) Effect of low-carbohydrate diets on cardiometabolic risk, insulin resistance, and metabolic syndrome. Cur Opin Endocrino Diabetes Obesity 27(5):301\u2013307","journal-title":"Current Opinion in Endocrinology, Diabetes and Obesity"},{"key":"2505_CR92","doi-asserted-by":"crossref","unstructured":"Qin P et al (2020) Sugar and artificially sweetened beverages and risk of obesity, type 2 diabetes mellitus, hypertension, and all-cause mortality: a dose-response meta-analysis of prospective cohort studies. Eur J Epidemiol 35(7):655\u2013671","DOI":"10.1007\/s10654-020-00655-y"},{"issue":"2","key":"2505_CR93","first-page":"89","volume":"20","author":"L Paglia","year":"2019","unstructured":"Paglia L (2019) The sweet danger of added sugars. Eur J Paediatr Dent 20(2):89\u201389","journal-title":"Eur J Paediatr Dent"},{"issue":"1","key":"2505_CR94","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.physbeh.2010.01.036","volume":"100","author":"FB Hu","year":"2010","unstructured":"Hu FB, Malik VS (2010) Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence. Physiol Behav 100(1):47\u201354","journal-title":"Physiol Behav"},{"key":"2505_CR95","doi-asserted-by":"crossref","unstructured":"Tsilas CS, et al. (2017) \u201cRelation of total sugars, fructose and sucrose with incident type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. CMAJ: Can Med Assoc J 189,( 20):E711\u2013E720","DOI":"10.1503\/cmaj.160706"},{"issue":"4","key":"2505_CR96","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.dsx.2020.03.019","volume":"14","author":"V Behrouz","year":"2020","unstructured":"Behrouz V, Dastkhosh A, Sohrab G (2020) Overview of dietary supplements on patients with type 2 diabetes. Diabetes Meta synd 14(4):325\u2013334","journal-title":"Diabetes Meta synd"},{"key":"2505_CR97","doi-asserted-by":"crossref","unstructured":"Pittas AG, Jorde R, Kawahara T, Dawson-Hughes B (2020) \u201cVitamin D Supplementation for Prevention of Type 2 Diabetes Mellitus: To D or Not to D? J Clin Endocrinol Metab 105(12)","DOI":"10.1210\/clinem\/dgaa594"},{"key":"2505_CR98","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jnim.2018.08.004","volume":"14","author":"ME Patterson","year":"2018","unstructured":"Patterson ME, Yee JK, Wahjudi P, Mao CS, Lee WNP (2018) Acute metabolic responses to high fructose corn syrup ingestion in adolescents with overweight\/obesity and diabetes. J Nutr Intermediary Metab 14:1\u20137","journal-title":"J Nutr Intermediary Metab"},{"issue":"7","key":"2505_CR99","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1111\/liv.13435","volume":"37","author":"S Zelber-Sagi","year":"2017","unstructured":"Zelber-Sagi S, Salomone F, Mlynarsky L (2017) The Mediterranean dietary pattern as the diet of choice for non-alcoholic fatty liver disease: evidence and plausible mechanisms. Liver Int 37(7):936\u2013949 (Blackwell Publishing Ltd)","journal-title":"Liver Int"},{"issue":"4","key":"2505_CR100","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1111\/liv.12990","volume":"36","author":"M Razavi Zade","year":"2016","unstructured":"Razavi Zade M, Telkabadi MH, Bahmani F, Salehi B, Farshbaf S, Asemi Z (2016) The effects of DASH diet on weight loss and metabolic status in adults with non-alcoholic fatty liver disease: a randomized clinical trial. Liver Int 36(4):563\u2013571","journal-title":"Liver Int"},{"key":"2505_CR101","doi-asserted-by":"crossref","unstructured":"Riazi K, Raman M, Taylor L, Swain MG, Shaheen AA (2019) \u201cDietary patterns and components in nonalcoholic fatty liver disease (NAFLD): what key messages can health care providers offer? Nutrients 11(12)","DOI":"10.3390\/nu11122878"},{"issue":"1","key":"2505_CR102","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1093\/advances\/nmx007","volume":"9","author":"ES George","year":"2018","unstructured":"George ES et al (2018) Practical dietary recommendations for the prevention andmanagement of nonalcoholic fatty liver disease in adults. Adv Nutr 9(1):30\u201340 (Oxford University Press)","journal-title":"Adv Nutr"},{"key":"2505_CR103","doi-asserted-by":"crossref","unstructured":"Hayat U, Siddiqui AA, Okut H, Afroz S, Tasleem S, Haris A (2021) The effect of coffee consumption on the non-alcoholic fatty liver disease and liver fibrosis: a meta-analysis of 11 epidemiological studies. Ann Hepatol 20","DOI":"10.1016\/j.aohep.2020.08.071"},{"issue":"9","key":"2505_CR104","doi-asserted-by":"crossref","first-page":"1038","DOI":"10.1111\/apt.12489","volume":"38","author":"A Yesil","year":"2013","unstructured":"Yesil A, Yilmaz Y (2013) Review article: coffee consumption, the metabolic syndrome and non-alcoholic fatty liver disease. Aliment Pharmacol Ther 38(9):1038\u20131044","journal-title":"Aliment Pharmacol Ther"},{"issue":"2","key":"2505_CR105","doi-asserted-by":"crossref","first-page":"e8","DOI":"10.1097\/MEG.0000000000000776","volume":"29","author":"K Wijarnpreecha","year":"2017","unstructured":"Wijarnpreecha K, Thongprayoon C, Ungprasert P (2017) Coffee consumption and risk of nonalcoholic fatty liver disease: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol 29(2):e8\u2013e12","journal-title":"Eur J Gastroenterol Hepatol"},{"issue":"6","key":"2505_CR106","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1016\/j.jhep.2018.01.015","volume":"68","author":"S Zelber-Sagi","year":"2018","unstructured":"Zelber-Sagi S et al (2018) High red and processed meat consumption is associated with non-alcoholic fatty liver disease and insulin resistance. J Hepatol 68(6):1239\u20131246","journal-title":"J Hepatol"},{"issue":"8","key":"2505_CR107","first-page":"1007","volume":"46","author":"P Mirmiran","year":"2017","unstructured":"Mirmiran P, Amirhamidi Z, Ejtahed HS, Bahadoran Z, Azizi F (2017) Relationship between diet and non-alcoholic fatty liver disease: a review article. Iran J Public Health 46(8):1007\u20131017 (Iranian Journal of Public Health)","journal-title":"Iran J Public Health"},{"issue":"5","key":"2505_CR108","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1016\/j.jhep.2018.01.019","volume":"68","author":"T Jensen","year":"2018","unstructured":"Jensen T et al (2018) Fructose and sugar: a major mediator of non-alcoholic fatty liver disease. J Hepatol 68(5):1063\u20131075 (Elsevier B.V.)","journal-title":"J Hepatol"},{"issue":"1","key":"2505_CR109","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1002\/ncp.10449","volume":"35","author":"MS Mundi","year":"2020","unstructured":"Mundi MS, Velapati S, Patel J, Kellogg TA, Abu Dayyeh BK, Hurt RT (2020) Evolution of NAFLD and Its Management. Nutr Clin Pract 35(1):72\u201384 (John Wiley and Sons Inc.)","journal-title":"Nutr Clin Pract"},{"issue":"2","key":"2505_CR110","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1172\/JCI89444","volume":"127","author":"EA Hern\u00e1ndez","year":"2017","unstructured":"Hern\u00e1ndez EA et al (2017) Acute dietary fat intake initiates alterations in energy metabolism and insulin resistance. J Clin Investig 127(2):695\u2013708","journal-title":"J Clin Investig"},{"issue":"1","key":"2505_CR111","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1017\/S0029665119000569","volume":"79","author":"L Hodson","year":"2020","unstructured":"Hodson L, Rosqvist F, Parry SA (2020) The influence of dietary fatty acids on liver fat content and metabolism. Proc Nutr Soc 79(1):30\u201341","journal-title":"Proc Nutr Soc"},{"issue":"10","key":"2505_CR112","first-page":"1","volume":"12","author":"APM de Oca","year":"2020","unstructured":"de Oca APM, Juli\u00e1n MT, Ramos A, Puig-Domingo M, Alonso N (2020) Microbiota, fiber, and NAFLD: is there any connection? Nutrients 12(10):1\u20139","journal-title":"Nutrients"},{"key":"2505_CR113","doi-asserted-by":"crossref","unstructured":"Krawczyk M, et al. (2018) Gut Permeability Might be Improved by Dietary Fiber in Individuals with Nonalcoholic Fatty Liver Disease (NAFLD) Undergoing Weight Reduction. Nutrients 10(11)","DOI":"10.3390\/nu10111793"},{"issue":"4","key":"2505_CR114","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1097\/MCO.0000000000000469","volume":"21","author":"S Chiu","year":"2018","unstructured":"Chiu S, Mulligan K, Schwarz JM (2018) Dietary carbohydrates and fatty liver disease: de novo lipogenesis. Curr Opin Clin Nutr Metab Care 21(4):277\u2013282","journal-title":"Current Opinion in Clinical Nutrition & Metabolic Care"},{"issue":"5","key":"2505_CR115","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1016\/j.jhep.2018.01.019","volume":"68","author":"T Jensen","year":"2018","unstructured":"Jensen T et al (2018) Fructose and sugar: a major mediator of non-alcoholic fatty liver disease. J Hepatol 68(5):1063\u20131075","journal-title":"J Hepatol"},{"issue":"5","key":"2505_CR116","doi-asserted-by":"crossref","first-page":"1282","DOI":"10.1007\/s10620-016-4054-0","volume":"61","author":"S Softic","year":"2016","unstructured":"Softic S, Cohen DE, Kahn CR (2016) Role of Dietary Fructose and Hepatic De Novo Lipogenesis in Fatty Liver Disease. Dig Dis Sci 61(5):1282\u20131293","journal-title":"Dig Dis Sci"},{"issue":"2","key":"2505_CR117","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1080\/17446651.2020.1740588","volume":"15","author":"K Kakleas","year":"2020","unstructured":"Kakleas K, Christodouli F, Karavanaki K (2020) Nonalcoholic fatty liver disease, insulin resistance, and sweeteners: a literature review. Expert Rev Endocrinol Metab 15(2):83\u201393","journal-title":"Expert Rev Endocrinol Metab"},{"issue":"3","key":"2505_CR118","first-page":"80","volume":"6","author":"B Perumpail","year":"2018","unstructured":"Perumpail B et al (2018) Potential Therapeutic Benefits of Herbs and Supplements in Patients with NAFLD. Diseases (Basel, Switzerland) 6(3):80","journal-title":"Diseases (Basel, Switzerland)"},{"issue":"8","key":"2505_CR119","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/nu12082302","volume":"12","author":"B Kilchoer","year":"2020","unstructured":"Kilchoer B, Vils A, Minder B, Muka T, Glisic M, Bally L (2020) Efficacy of Dietary Supplements to Reduce Liver Fat. Nutrients 12(8):1\u201316","journal-title":"Nutrients"},{"key":"2505_CR120","doi-asserted-by":"crossref","first-page":"110974","DOI":"10.1016\/j.biopha.2020.110974","volume":"133","author":"RS Hamida","year":"2021","unstructured":"Hamida RS, Shami A, Ali MA, Almohawes ZN, Mohammed AE, Bin-Meferij MM (2021) Kefir: a protective dietary supplementation against viral infection. Biomedicine and Pharmacotherapy 133:110974 (Elsevier Masson s.r.l.)","journal-title":"Biomedicine and Pharmacotherapy"},{"issue":"4","key":"2505_CR121","doi-asserted-by":"crossref","first-page":"1891","DOI":"10.1007\/s11010-021-04054-z","volume":"476","author":"SC Tyagi","year":"2021","unstructured":"Tyagi SC, Singh M (2021) Multi-organ damage by covid-19: congestive (cardio-pulmonary) heart failure, and blood-heart barrier leakage. Mol Cell Biochem 476(4):1891\u20131895","journal-title":"Mol Cell Biochem"},{"key":"2505_CR122","doi-asserted-by":"crossref","unstructured":"Thota SM, Balan V, Sivaramakrishnan V (2020) Natural products as home-based prophylactic and symptom management agents in the setting of COVID-19. Phytother Res 34(12):3148\u20133167 John Wiley and Sons Ltd","DOI":"10.1002\/ptr.6794"},{"key":"2505_CR123","doi-asserted-by":"crossref","unstructured":"Pieroni A, et al. (2020) Taming the pandemic? The importance of homemade plant-based foods and beverages as community responses to COVID-19. J Ethnobiol Ethnomed 16(1) BioMed Central Ltd","DOI":"10.1186\/s13002-020-00426-9"},{"key":"2505_CR124","doi-asserted-by":"crossref","first-page":"106654","DOI":"10.1016\/j.intimp.2020.106654","volume":"85","author":"R Somasundaram","year":"2020","unstructured":"Somasundaram R, Choraria A, Antonysamy M (2020) An approach towards development of monoclonal IgY antibodies against SARS CoV-2 spike protein (S) using phage display method: a review. Int Immunopharmacol 85:106654","journal-title":"International immunopharmacology"},{"key":"2505_CR125","doi-asserted-by":"crossref","first-page":"107172","DOI":"10.1016\/j.intimp.2020.107172","volume":"90","author":"S Wei","year":"2021","unstructured":"Wei S et al (2021) Chicken Egg Yolk Antibodies (IgYs) block the binding of multiple SARS-CoV-2 spike protein variants to human ACE2. Int Immunopharmacol 90:107172","journal-title":"Int Immunopharmacol"},{"issue":"3","key":"2505_CR126","doi-asserted-by":"crossref","first-page":"486","DOI":"10.3390\/vaccines8030486","volume":"8","author":"JM P\u00e9rez de la Lastra","year":"2020","unstructured":"P\u00e9rez de la Lastra JM, Baca-Gonz\u00e1lez V, Asensio-Calavia P, Gonz\u00e1lez-Acosta S, Morales-Delanuez A (2020) Can immunization of hens provide oral-based therapeutics against covid-19? Vaccines 8(3):486","journal-title":"Vaccines"},{"key":"2505_CR127","doi-asserted-by":"crossref","unstructured":"Lu Y, et al. (2020) Generation of Chicken IgY against SARS-COV-2 Spike Protein and Epitope Mapping. J Immunol Res","DOI":"10.1155\/2020\/9465398"},{"issue":"1","key":"2505_CR128","doi-asserted-by":"crossref","first-page":"10","DOI":"10.24911\/SJP.1061585398078","volume":"20","author":"M Khalil","year":"2020","unstructured":"Khalil M, Salih M, Mustafa A (2020) Broad beans (Vicia faba) and the potential to protect from COVID-19 coronavirus infection. Sudanese J Paediatr 20(1):10\u201312","journal-title":"Sudanese Journal of Paediatrics"},{"key":"2505_CR129","doi-asserted-by":"crossref","unstructured":"Al-Sanea MM, et al. (2021) Strawberry and Ginger Silver Nanoparticles as Potential Inhibitors for SARS-CoV-2 Assisted by In Silico Modeling and Metabolic Profiling. Antibiotics (Basel, Switzerland), 10(7)","DOI":"10.3390\/antibiotics10070824"},{"issue":"12","key":"2505_CR130","doi-asserted-by":"crossref","first-page":"4427","DOI":"10.1080\/07391102.2020.1777903","volume":"39","author":"A Singh","year":"2021","unstructured":"Singh A, Mishra A (2021) Leucoefdin a potential inhibitor against SARS CoV-2 M pro. J Biomol Struct Dyn 39(12):4427\u20134432","journal-title":"Journal of Biomolecular Structure and Dynamics"},{"key":"2505_CR131","doi-asserted-by":"crossref","unstructured":"Hossain KS, et al. Prospects of honey in fighting against COVID-19: pharmacological insights and therapeutic promises. Heliyon 6(12)","DOI":"10.1016\/j.heliyon.2020.e05798"},{"issue":"1","key":"2505_CR132","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.endien.2020.01.010","volume":"68","author":"M Rondanelli","year":"2021","unstructured":"Rondanelli M et al (2021) A food pyramid, based on a review of the emerging literature, for subjects with inflammatory bowel disease. Endocrinol Diabetes Nutr 68(1):17\u201346","journal-title":"Endocrinolog\u00eda, Diabetes y Nutrici\u00f3n (English ed.)"},{"issue":"34","key":"2505_CR133","doi-asserted-by":"crossref","first-page":"4297","DOI":"10.3748\/wjg.v16.i34.4297","volume":"16","author":"G Maconi","year":"2010","unstructured":"Maconi G, Ardizzone S, Cucino C, Bezzio C, Russo AG, Porro GB (2010) Pre-illness changes in dietary habits and diet as a risk factor for inflammatory bowel disease: a case-control study. World J Gastroenterol 16(34):4297\u20134304","journal-title":"World journal of gastroenterology: WJG"},{"key":"2505_CR134","doi-asserted-by":"crossref","first-page":"523","DOI":"10.3390\/foods9040523","volume":"9","author":"CM Galanakis","year":"2020","unstructured":"Galanakis CM (2020) The Food Systems in the Era of the Coronavirus (COVID-19) Pandemic Crisis. Foods 9:523","journal-title":"Foods"},{"key":"2505_CR135","doi-asserted-by":"crossref","unstructured":"Emmanuel, Lazega Stanley, Wasserman Katherine, Faust (1995) Social Network Analysis: Methods and Applications. Revue Fran\u00e7aise de Sociologie 36(4) 781-10.2307\/3322457","DOI":"10.2307\/3322457"},{"key":"2505_CR136","doi-asserted-by":"crossref","unstructured":"Wen, Zhang Yanlin, Chen Feng, Liu Fei, Luo Gang, Tian Xiaohong, Li (2017) Predicting potential drug-drug interactions by integrating chemical biological phenotypic and network data. BMC Bioinformatics 18(1) 10.1186\/s12859-016-1415-9","DOI":"10.1186\/s12859-016-1415-9"},{"key":"2505_CR137","doi-asserted-by":"crossref","unstructured":"Pujari, M., & Kanawati, R. (2012, April). Supervised rank aggregation approach for link prediction in complex networks. In Proceedings of the 21st international conference on world wide web 1189-1196.","DOI":"10.1145\/2187980.2188260"},{"key":"2505_CR138","doi-asserted-by":"crossref","unstructured":"Wang, D., Pedreschi, D., Song, C., Giannotti, F., & Barabasi, A. L. (2011, August). Human mobility, social ties, and link prediction. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1100-1108).","DOI":"10.1145\/2020408.2020581"},{"key":"2505_CR139","unstructured":"S., Ghasemi A., Zarei Improving link prediction in social networks using local and global features: a clustering-based approach. Progress in Artificial Intelligence 10.1007\/s13748-021-00261-3"},{"key":"2505_CR140","unstructured":"Needham, M., & Hodler, A. E. (2019). Graph algorithms: practical examples in Apache Spark and Neo4j. O'Reilly Media."},{"key":"2505_CR141","doi-asserted-by":"crossref","unstructured":"Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications.","DOI":"10.1017\/CBO9780511815478"},{"key":"2505_CR142","doi-asserted-by":"crossref","unstructured":"Paolo, Tessari Anna, Lante (2017) A Multifunctional Bread Rich in Beta Glucans and Low in Starch Improves Metabolic Control in Type 2 Diabetes: A Controlled Trial. Nutrients 9(3) 297-10.3390\/nu9030297","DOI":"10.3390\/nu9030297"},{"key":"2505_CR143","doi-asserted-by":"crossref","unstructured":"Huimin, Zhao Aihua, Yang Lina, Mao Yaning, Quan Jiajia, Cui Yongye, Sun (2020) Association Between Dietary Fiber Intake and Non-alcoholic Fatty Liver Disease in Adults. Frontiers in Nutrition 710.3389\/fnut.2020.593735","DOI":"10.3389\/fnut.2020.593735"},{"key":"2505_CR144","doi-asserted-by":"crossref","unstructured":"Mohammad A. I., Al-Hatamleh Ma\u2019mon M., Hatmal Kamran, Sattar Suhana, Ahmad Mohd Zulkifli, Mustafa Marcelo De Carvalho, Bittencourt Rohimah, Mohamud (2020) Antiviral and Immunomodulatory Effects of Phytochemicals from Honey against COVID-19: Potential Mechanisms of Action and Future Directions. Molecules 25(21) 5017-10.3390\/molecules25215017","DOI":"10.3390\/molecules25215017"},{"key":"#cr-split#-2505_CR145.1","doi-asserted-by":"crossref","unstructured":"Esposito K, Maiorino MI, Bellastella G, Chiodini P, Panagiotakos D, Giugliano D (2015) A journey into a Mediterranean diet and type 2 diabetes: a systematic review with meta-analyses. BMJ Open 5","DOI":"10.1136\/bmjopen-2015-008222"},{"key":"#cr-split#-2505_CR145.2","unstructured":"(8) BMJ Publishing GroupEsposito K, Maiorino MI, Bellastella G, Chiodini P, Panagiotakos D, Giugliano D (2015) A journey into a Mediterranean diet and type 2 diabetes"},{"key":"2505_CR146","unstructured":"Rashmeet Toor and Inderveer Chana (2022) DIDACE: literature mining and exploration of disease-diet associations. J Inf Sci Eng 38(1)"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02505-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-022-02505-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02505-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T15:18:19Z","timestamp":1700234299000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-022-02505-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,16]]},"references-count":147,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["2505"],"URL":"https:\/\/doi.org\/10.1007\/s11517-022-02505-3","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,16]]},"assertion":[{"value":"30 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 February 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}