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"Hadi Emamat"

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"Hadi Emamat"

Original Article

[English]
Red and Processed Meat Intake in Relation to Non-Alcoholic Fatty Liver Disease Risk: Results from a Case-Control Study
Fatemeh Rahimi-Sakak, Mahsa Maroofi, Hadi Emamat, Azita Hekmatdoost
Clin Nutr Res 2022;11(1):42-49.   Published online January 26, 2022
DOI: https://doi.org/10.7762/cnr.2022.11.1.42

Data on the association between dietary red meat intake and non-alcoholic fatty liver disease (NAFLD) are limited. We designed this case-control study to determine the association between red and processed meat consumption and risk of NAFLD in Iranian adults. A total of 999 eligible subjects, including 196 NAFLD patients and 803 non-NAFLD controls were recruited from hepatology clinics in Tehran, Iran. A reliable and validated food frequency questionnaire was used to evaluate the red and processed meat intakes. The analyzes performed showed that in an age- and gender-adjusted model, patients with the highest quartile of red meat intake had an approximately three-fold higher risk of NAFLD than those with the lowest quartile of intake (odds ratio [OR], 3.42; 95% confidence interval [CI], 2.16–5.43; p value < 0.001). Moreover, patients in the highest quartile of processed meat intake had a 3.28 times higher risk of NAFLD, compared to the lowest quartile(OR, 3.28; 95% CI, 1.97–5.46; p value < 0.001).Both these associations remained significant by implementing additional adjustments for body mass index, energy intake, dietary factors, diabetes, smoking, and physical activity (OR, 3.65; 95% CI, 1.85–7.18; p value < 0.001 and OR, 3.25; 95% CI, 1.57–6.73; p value = 0.002, respectively).Our findings indicate that both red and processed meat intakes are related to the increased odds of NAFLD; however, prospective studies are needed to confirm these results.

Citations

Citations to this article as recorded by  
  • Interrelationship between alcohol consumption, overnutrition, and pharmacotherapy for liver steatosis: Considerations and proposals
    Rodrigo Valenzuela, Camila Farías, Yasna Muñoz, Jessica Zúñiga-Hernández, Luis A. Videla
    Molecular and Cellular Endocrinology.2026; 611: 112676.     CrossRef
  • Associations between Ultra-processed Foods and Risk of Non-alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes: A Cross-sectional Study
    A Alikhani, A Seraj, M.H Kakoienejad, H Poustchi, Z Yari
    Journal of Nutrition Sciences and Food Technology.2025; 20(1): 13.     CrossRef
  • Edible mushrooms as meat analogues: A comprehensive review of nutritional, therapeutic, and market potential
    Sibo Boro, Vivek Kambhampati, Sandeep Das, Deepanka Saikia
    Food Research International.2025; 214: 116632.     CrossRef
  • Association Between Meat Intake and Metabolic Dysfunction‐Associated Steatotic Liver Disease Incidence in a Korean Population From the Health Examinees Study
    Uyangamaa Nyamsuren, Yuan Peng, Sangah Shin
    Molecular Nutrition & Food Research.2025;[Epub]     CrossRef
  • Ultra-processed foods and non-alcoholic fatty liver disease: an updated systematic review and dose–response meta-analysis
    Jinghong Zhang, Long Shu, Xiaopei Chen
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • The cross–sectional association between ultra-processed food intake and metabolic dysfunction-associated steatotic liver disease
    Natalie Sun, Brenton Prescott, Jiantao Ma, Vanessa Xanthakis, Paula A. Quatromoni, Michelle T. Long, Maura E. Walker
    Clinical Nutrition ESPEN.2025; 66: 215.     CrossRef
  • Role of gut microbiota in the development of metabolic dysfunction-associated steatotic liver disease in inflammatory bowel disease
    Aneta Sokal-Dembowska, Kübra Ergan, Sara Jarmakiewicz-Czaja
    World Journal of Gastroenterology.2025;[Epub]     CrossRef
  • The Protective Effect of FOXO3 rs2802292 G-Allele on Food Intake in a Southern Italian Cohort Affected by MASLD
    Rossella Donghia, Elisabetta Di Nicola, Rossella Tatoli, Giovanna Forte, Martina Lepore Signorile, Caterina Bonfiglio, Marialaura Latrofa, Katia De Marco, Andrea Manghisi, Vittoria Disciglio, Candida Fasano, Paola Sanese, Filomena Cariola, Antonia Lucia B
    Nutrients.2025; 17(8): 1315.     CrossRef
  • Ultra-Processed Foods and Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): What Is the Evidence So Far?
    Eleni V. Geladari, Dimitris Kounatidis, Gerasimos Socrates Christodoulatos, Sotiria Psallida, Argyro Pavlou, Charalampia V. Geladari, Vassilios Sevastianos, Maria Dalamaga, Natalia G. Vallianou
    Nutrients.2025; 17(13): 2098.     CrossRef
  • Ultra‐Processed Food Intake and Risk of Adverse Liver Outcomes: A Meta‐Analysis
    Chang Guo, Wu‐cai Yang, Jie Zhou, Jian‐Jun Wang, Dong Ji
    Journal of Food Science.2025;[Epub]     CrossRef
  • The association between dietary consumption of amino acids and the risk of non-alcoholic fatty liver disease: a case-control study
    Asieh Mansour, Mohammad Abdollahi, Maryam Mirahmad, Soudabe Motamed, Atie Sadat Khorasanian, Seyed Hossein Mirlohi, Hossein Poustchi, Elaheh Amini, Farnaz Tavakoli, Mohammad Reza Mohajeri-Tehrani, Sayed Mahmoud Sajjadi-Jazi, Azita Hekmatdoost
    Nutrition & Metabolism.2025;[Epub]     CrossRef
  • Diet quality indices and odds of metabolic dysfunction-associated fatty liver disease: a case-control study
    Pushpamala Ramaiah, Kamilya Jamel Baljon, Sana A. Alsulami, Grace M. Lindsay, Lathamangeswari Chinnasamy
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Association between processed and unprocessed red meat consumption and risk of nonalcoholic fatty liver disease: A systematic review and dose-response meta-analysis
    Qin Zhou, Huaidong Hu, Lina Hu, Shuaibin Liu, Jin Chen, Shiwen Tong
    Journal of Global Health.2024;[Epub]     CrossRef
  • Association of ultra-processed food intake with severe non-alcoholic fatty liver disease: a prospective study of 143073 UK Biobank participants
    Yi-Feng Zhang, Wanning Qiao, Jinhong Zhuang, Hanxiao Feng, Zhilan Zhang, Yang Zhang
    The Journal of nutrition, health and aging.2024; 28(10): 100352.     CrossRef
  • Red meat intake, faecal microbiome, serum trimethylamine N‐oxide and hepatic steatosis among Chinese adults
    Yong Huang, Jiawei Zhang, Yaozong Zhang, Wuqi Wang, Meiling Li, Bo Chen, Xiaoyu Zhang, Zhuang Zhang, Jiaqi Huang, Yong Jin, Hua Wang, Xuehong Zhang, Shi Yin, Wanshui Yang
    Liver International.2024; 44(5): 1142.     CrossRef
  • Adding a Leafy Vegetable Fraction to Diets Decreases the Risk of Red Meat Mortality in MASLD Subjects: Results from the MICOL Cohort
    Rossella Donghia, Rossella Tatoli, Angelo Campanella, Francesco Cuccaro, Caterina Bonfiglio, Gianluigi Giannelli
    Nutrients.2024; 16(8): 1207.     CrossRef
  • Ultra-Processed Food Intake Is Associated with Non-Alcoholic Fatty Liver Disease in Adults: A Systematic Review and Meta-Analysis
    Alex E. Henney, Conor S. Gillespie, Uazman Alam, Theresa J. Hydes, Daniel J. Cuthbertson
    Nutrients.2023; 15(10): 2266.     CrossRef
  • Dietary Patterns, Foods, and Nutrients to Ameliorate Non-Alcoholic Fatty Liver Disease: A Scoping Review
    Sofía Montemayor, Silvia García, Margalida Monserrat-Mesquida, Josep A. Tur, Cristina Bouzas
    Nutrients.2023; 15(18): 3987.     CrossRef
  • A review of experimental and clinical studies on the therapeutic effects of pomegranate (Punica granatum) on non‐alcoholic fatty liver disease: Focus on oxidative stress and inflammation
    Mohammad Yassin Zamanian, Mehraveh Sadeghi Ivraghi, Lusine G. Khachatryan, Diana E. Vadiyan, Hanie Yavarpour Bali, Maryam Golmohammadi
    Food Science & Nutrition.2023; 11(12): 7485.     CrossRef
  • Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
    Rossella Donghia, Pasqua Letizia Pesole, Antonino Castellaneta, Sergio Coletta, Francesco Squeo, Caterina Bonfiglio, Giovanni De Pergola, Roberta Rinaldi, Sara De Nucci, Gianluigi Giannelli, Alfredo Di Leo, Rossella Tatoli
    Nutrients.2023; 15(18): 4058.     CrossRef
  • Prevalence of non-alcoholic fatty liver and its related factors in Iran: Systematic review and meta-analysis
    Maryam Chegeni, Sairan Nili, Mehdi Darabi, Elham Gheysvandi, Razieh Zahedi, Elham Sharifian, Hamid Reza Shoraka, Mohammad Rostamkhani, Leili Abedi Gheshlaghi
    Journal of Education and Health Promotion.2023;[Epub]     CrossRef
  • Diet and Risk of Non-Alcoholic Fatty Liver Disease, Cirrhosis, and Liver Cancer: A Large Prospective Cohort Study in UK Biobank
    Wen Guo, Xinyuan Ge, Jing Lu, Xin Xu, Jiaxin Gao, Quanrongzi Wang, Ci Song, Qun Zhang, Chengxiao Yu
    Nutrients.2022; 14(24): 5335.     CrossRef
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Review Article

[English]
Vitamin D and The Gut Microbiota: a Narrative Literature Review
Hadith Tangestani, Hossein Khosravi Boroujeni, Kurosh Djafarian, Hadi Emamat, Sakineh Shab-Bidar
Clin Nutr Res 2021;10(3):181-191.   Published online July 20, 2021
DOI: https://doi.org/10.7762/cnr.2021.10.3.181

Recently several studies have attempted to investigate the association between vitamin D and microbiota. However, studies have reported inconsistent results. This narrative review aimed to investigate the potential association between vitamin D and microbiota population in the gut by pooling together the results from observational studies and clinical trials. We considered animal and human studies in this field. Several studies have shown the correlation of vitamin D deficiency with microbiota. Furthermore, interventional studies were emerging that vitamin D change the microbiota composition in which leads to an increase in beneficial bacteria, such as Ruminococcaceae, Akkermansia, Faecalibacterium, and Coprococcus while decreases in Firmicutes. Vitamin D could change the microbiota toward decreasing in Firmicutes and increasing in Bacteroidetes. At genera level, vitamin D may connect to some genera of Lachnospiaceae family (e.g., Blautia, Rosburia, Dorea, and Coprococcus). It seems that adequate level of vitamin D is an important factor in improving the composition of the gut microbiota. More studies are needed to confirm possible underling mechanisms.

Citations

Citations to this article as recorded by  
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    Brain and Behavior.2025;[Epub]     CrossRef
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    Qiang Zou, Bolin Fu, Yongsheng Gou, Gang Zhong, Yalan Liu
    BMC Nutrition.2025;[Epub]     CrossRef
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    Elizaveta Vinogradova, Zharkyn Jarmukhanov, Madiyar Nurgaziyev, Alibek Kossumov, Ayaulym Nurgozhina, Nurislam Mukhanbetzhanov, Shynggys Sergazy, Laura Chulenbayeva, Argul Issilbayeva, Sholpan Askarova, Aiym Kaiyrlykyzy, Saule Rakhimova, Ulan Kozhamkulov,
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    Nutrients.2025; 17(21): 3421.     CrossRef
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    Nutrients.2025; 17(6): 1028.     CrossRef
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    Russian Medicine.2025; 31(4): 360.     CrossRef
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    Clinical Journal of the American Society of Nephrology.2025; 20(7): 1003.     CrossRef
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    Frontiers in Nutrition.2022;[Epub]     CrossRef
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Original Articles
[English]
Variants in Circadian Rhythm Gene Cry1 Interacts with Healthy Dietary Pattern for Serum Leptin Levels: a Cross-sectional Study
Hadith Tangestani, Hadi Emamat, Mir Saeed Yekaninejad, Seyed Ali Keshavarz, Khadijeh Mirzaei
Clin Nutr Res 2021;10(1):48-58.   Published online January 28, 2021
DOI: https://doi.org/10.7762/cnr.2021.10.1.48

Circadian disruption causes obesity and other metabolic disorders. There is no research considering the role of Cryptochromes (Cry) 1 body clock gene and major dietary patterns on serum leptin level and obesity. We aimed to investigate the interaction between Cry1 circadian gene polymorphisms and major dietary patterns on leptin and obesity related measurements. This study was performed on 377 overweight and obese women. Mean age and body mass index (BMI) of study subjects were 36.64 ± 9.02 years and 30.81 ± 3.8 kg/m2, respectively. Dietary assessment was done using a validated 147-item food frequency questionnaire. Cry1 rs2287161 were genotyped using polymerase chain reaction-restriction fragment length polymorphism. Generalized linear models were used for interaction analysis. Healthy and unhealthy dietary pattern (HDP and UDP, respectively) were extracted using factor analysis (principal component analysis). Our study revealed a significant higher weight (p = 0.003) and BMI (p = 0.042) in women carrying CC homozygote compared with G allele carriers. Moreover, our findings showed a significant gene-diet interaction between HDP and Cry1 rs2287161 on BMI (p = 0.034) and serum leptin level (p = 0.056) in which, BMI and serum leptin level were lower in subjects with CC genotype than in those with GG genotype while following HDP. This study suggests a significant interaction between Cry1 rs2287161 polymorphisms and HDP on BMI and serum leptin and the lowering effects were apparent among C allele carriers compared to G allele ones. This data highlights the role of dietary pattern in relation of gene and obesity.

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    Niloufar Rasaei, Seyedeh Fatemeh Fatemi, Fatemeh Gholami, Mahsa Samadi, Mohammad Keshavarz Mohammadian, Elnaz Daneshzad, Khadijeh Mirzaei
    BMC Medical Genomics.2025;[Epub]     CrossRef
  • Exploring the impact of genetic factors and fatty acid quality on visceral and overall Fat levels in overweight and obese women: a genetic risk score study
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    BMC Nutrition.2025;[Epub]     CrossRef
  • Interaction of genetic risk score (GRS) and Plant-Based diet on atherogenic factors and body fat distribution indices among women with overweight and obesity: a cross-sectional study
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    Scientific Reports.2025;[Epub]     CrossRef
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    BMC Medical Genomics.2024;[Epub]     CrossRef
  • The interaction between ultra-processed foods and genetic risk score on body adiposity index (BAI), appendicular skeletal muscle mass index (ASM), and lipid profile in overweight and obese women
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    Frontiers in Nutrition.2024;[Epub]     CrossRef
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    ranian Journal of Health Education and Health Promotion.2021; 9(4): 327.     CrossRef
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[English]
The Association between Nuts Intake and Non-Alcoholic Fatty Liver Disease (NAFLD) Risk: a Case-Control Study
Omid Asbaghi, Hadi Emamat, Mahnaz Rezaei Kelishadi, Azita Hekmatdoost
Clin Nutr Res 2020;9(3):195-204.   Published online July 27, 2020
DOI: https://doi.org/10.7762/cnr.2020.9.3.195

Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. Nuts are nutrient- and calorie-dense foods with several health-promoting compounds. In this case-control study, we investigated the association between nut intake and NAFLD risk. Hundred ninety-six subjects with NAFLD and eight hundred three controls were recruited. The participants' dietary intakes were assessed by a valid and reliable semi-quantitative food frequency questionnaire (FFQ). Participants were categorized according to deciles of daily nuts intake. Multivariable logistic regression models were used with NAFLD as the dependent and deciles of daily nuts intake as an independent variables. Range of age was 18 to 75 years. Forty three percent of participants were male. Range of nuts intake was between 0 to 90.90 g/day. In model 3, after adjusting for potential confounding variables including, age, sex, BMI, alcohol consumption, smoking, diabetes and physical activity, the relation between daily nuts intake and risk of NAFLD was positive and significant in the deciles 9 and 10 compared to the lowest decile (odds ratio [OR], 3.22; 95% confidence interval [CI], 1.04–7.49; p = 0.039 and OR, 3.03; 95% CI, 1.03–8.90; p = 0.046, respectively). However, in the final model after additional adjusting for energy intake, no significant association was found. According to the findings, there is not any significant relationship between nuts intake and NAFLD risk; while higher intake of nuts is related to the higher risk of NAFLD mediated by energy intake.

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    Nutrients.2023; 15(10): 2394.     CrossRef
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  • Calcium to magnesium intake ratio and non-alcoholic fatty liver disease development: a case-control study
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    Nutrients.2020; 12(11): 3363.     CrossRef
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