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Ghazizadeh H, Mansoori A, Sahranavard T, Nasrabadi M, Hadiloo K, Andalibi NS, Azmon M, Tavallaei S, Timar A, Ferns GA, Ghayour-Mobarhan M. The associations of oxidative stress and inflammatory markers with obesity in Iranian population: MASHAD cohort study. BMC Endocr Disord 2024; 24:56. [PMID: 38685027 PMCID: PMC11057096 DOI: 10.1186/s12902-024-01590-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 04/24/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Low-grade inflammation and stress oxidative condition play a role in the pathogenesis of obesity, and the serum levels of these markers, such as pro-oxidant-antioxidant balance (PAB), high-sensitivity C-reactive protein (hs-CRP), and uric acid may indicate obesity progression. In this study, we aimed to investigate the relationship between obesity with PAB, hs-CRP, and uric acid in the Iranian population. METHODS This study was derived from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study. A total of 7985 subjects aged 35 to 65 years were divided into three groups according to body mass index (BMI) as: normal, overweight and obese groups. Anthropometric indices and biochemical parameters such as PAB, superoxide dismutase type 1 (SOD1), hs-CRP, and uric acid were measured in all the participants. We evaluated the association of obesity with inflammatory factors by using multivariate regression analysis. Also, those participants with hypertension, an endocrine disorder, history of cardiovascular diseases and diabetes mellitus were excluded from the study. RESULTS There was a positive significant correlation between BMI and serum PAB, hs-CRP and uric acid (p < 0.001). While no statistically significant relation was observed between BMI and SOD1 (p = 0.85). Multivariate regression analysis showed that the risk of overweight and obesity increased 1.02 and 1.03-fold according to increase 10 units of PAB raise in comparison to reference group (normal weight) [(odds ratio (OR): 1.02, 95% CI (1.01-1.03)] and [OR: 1.03, 95% CI (1.01-1.04)], respectively). In addition, hs-CRP serum concentration was significantly associated with a high risk of obesity [(OR: 1.02; 95% CI (1.01-1.03)]. While the high levels of serum uric acid were associated with increased odds of overweight and obesity risk [OR: 1.4; CI (1.39-1.58) and OR: 1.76; CI (1.63-1.89), respectively]. CONCLUSIONS Generally, we showed a significant association between BMI and serum PAB, hs-CRP values and uric acid levels, suggesting the role of these factors as risk stratification factors for obesity.
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Affiliation(s)
- Hamideh Ghazizadeh
- CALIPER Program, Division of Clinical Biochemistry, Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Amin Mansoori
- Department of Applied Mathematics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
| | - Toktam Sahranavard
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohamad Nasrabadi
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Kaveh Hadiloo
- Student Research Committee, School of Medicine, Zanjan University in Medical Science, Zanjan, Iran
| | | | - Marzyeh Azmon
- Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Shima Tavallaei
- Department of Biochemistry and Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ameneh Timar
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Gordon A Ferns
- Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex, BN1 9PH, UK
| | - Majid Ghayour-Mobarhan
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Mansoori A, Seifi N, Vahabzadeh R, Hajiabadi F, Mood MH, Harimi M, Poudineh M, Ferns G, Esmaily H, Ghayour-Mobarhan M. The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms. J Hum Hypertens 2024; 38:277-285. [PMID: 38040904 DOI: 10.1038/s41371-023-00877-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 09/10/2023] [Accepted: 11/01/2023] [Indexed: 12/03/2023]
Abstract
Hypertension (HTN) is a common chronic condition associated with increased morbidity and mortality. Anthropometric indices of adiposity are known to be associated with a risk of HTN. The aim of this study was to identify the anthropometric indices that best associate with HTN in an Iranian population. 9704 individuals aged 35-65 years were recruited as part of the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study. Demographic and anthropometric data of all participants were recorded. HTN was defined as a systolic blood pressure (SBP) ≥ 140 mmHg, and/ or a diastolic blood pressure (DBP) ≥ 90 mmHg on two subsequent measurements, or being treated with oral drug therapy for BP. Data mining methods including Logistic Regression (LR), Decision Tree (DT), and Bootstrap Forest (BF) were applied. Of 9704 participants, 3070 had HTN, and 6634 were normotensive. LR showed that body roundness index (BRI), body mass index (BMI) and visceral adiposity index (VAI) were significantly associated with HTN in both genders (P < 0.0001). BRI showed the greatest association with HTN (OR = 1.276, 95%CI = (1.224, 1.330)). For BMI we had OR = 1.063, 95%CI = (1.047, 1.080), for VAI we had OR = 1.029, 95%CI = (1.020, 1.038). An age < 47 years and BRI < 4.04 was associated with a 90% probability of being normotensive. The BF indicated that age, sex and BRI had the most important role in HTN. In summary, among anthropometric indices the most powerful indicator for discriminating hypertensive from normotensive patients was BRI.
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Affiliation(s)
- Amin Mansoori
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran, Mashhad, Iran
| | - Najmeh Seifi
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Reihaneh Vahabzadeh
- Student Research Committee, Paramedicine Faculty, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fatemeh Hajiabadi
- Student Research Committee, Paramedicine Faculty, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Melika Hakimi Mood
- Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran
| | - Mahdiar Harimi
- Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran
| | - Mohadeseh Poudineh
- Faculty of Medicine, Islamic Azad University of Mashhad, Mashhad, Iran
- Student of Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran, Zanjan, Iran
| | - Gordon Ferns
- Brighton and Sussex Medical School, Division of Medical Education, Brighton, UK
| | - Habibollah Esmaily
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Majid Ghayour-Mobarhan
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
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Mansoori A, Farizani Gohari NS, Etemad L, Poudineh M, Ahari RK, Mohammadyari F, Azami M, Rad ES, Ferns G, Esmaily H, Ghayour Mobarhan M. White blood cell and platelet distribution widths are associated with hypertension: data mining approaches. Hypertens Res 2024; 47:515-528. [PMID: 37880498 DOI: 10.1038/s41440-023-01472-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 09/23/2023] [Accepted: 09/27/2023] [Indexed: 10/27/2023]
Abstract
In this paper, we are going to investigate the association between Hypertension (HTN) and routine hematologic indices in a cohort of Iranian adults. The data were obtained from a total population of 9704 who were aged 35-65 years, a prospective study was designed. The association between hematologic factors and HTN was assessed using logistic regression (LR) analysis and a decision tree (DT) algorithm. A total of 9704 complete datasets were analyzed in this cohort study (N = 3070 with HTN [female 62.47% and male 37.52%], N = 6634 without HTN [female 58.90% and male 41.09%]). Several variables were significantly different between the two groups, including age, smoking status, BMI, diabetes millitus, high sensitivity C-reactive protein (hs-CRP), uric acid, FBS, total cholesterol, HGB, LYM, WBC, PDW, RDW, RBC, sex, PLT, MCV, SBP, DBP, BUN, and HCT (P < 0.05). For unit odds ratio (OR) interpretation, females are more likely to have HTN (OR = 1.837, 95% CI = (1.620, 2.081)). Among the analyzed variables, age and WBC had the most significant associations with HTN OR = 1.087, 95% CI = (1.081, 1.094) and OR = 1.096, 95% CI = (1.061, 1.133), respectively (P-value < 0.05). In the DT model, age, followed by WBC, sex, and PDW, has the most significant impact on the HTN risk. Ninety-eight percent of patients had HTN in the subgroup with older age (≥58), high PDW (≥17.3), and low RDW (<46). Finally, we found that elevated WBC and PDW are the most associated factor with the severity of HTN in the Mashhad general population as well as female gender and older age.
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Affiliation(s)
- Amin Mansoori
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran
| | | | - Leila Etemad
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohadeseh Poudineh
- Student of Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Rana Kolahi Ahari
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Mobin Azami
- Student of Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Elias Sadooghi Rad
- Student Research Committee, School of Medicine, Birjand University of Medical sciences, Birjand, Iran
| | - Gordon Ferns
- Brighton and Sussex Medical School, Division of Medical Education, Brighton, United Kingdom
| | - Habibollah Esmaily
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Majid Ghayour Mobarhan
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
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Mansoori A, Hosseini N, Ghazizadeh H, Aghasizadeh M, Drroudi S, Sahranavard T, Izadi HS, Amiriani A, Farkhani EM, Ferns GA, Ghayour-Mobarhan M, Moohebati M, Esmaily H. Association between biochemical and hematologic factors with COVID-19 using data mining methods. BMC Infect Dis 2023; 23:897. [PMID: 38129798 PMCID: PMC10734144 DOI: 10.1186/s12879-023-08676-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 10/06/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND AND AIM Coronavirus disease (COVID-19) is an infectious disease that can spread very rapidly with important public health impacts. The prediction of the important factors related to the patient's infectious diseases is helpful to health care workers. The aim of this research was to select the critical feature of the relationship between demographic, biochemical, and hematological characteristics, in patients with and without COVID-19 infection. METHOD A total of 13,170 participants in the age range of 35-65 years were recruited. Decision Tree (DT), Logistic Regression (LR), and Bootstrap Forest (BF) techniques were fitted into data. Three models were considered in this study, in model I, the biochemical features, in model II, the hematological features, and in model II, both biochemical and homological features were studied. RESULTS In Model I, the BF, DT, and LR algorithms identified creatine phosphokinase (CPK), blood urea nitrogen (BUN), fasting blood glucose (FBG), total bilirubin, body mass index (BMI), sex, and age, as important predictors for COVID-19. In Model II, our BF, DT, and LR algorithms identified BMI, sex, mean platelet volume (MPV), and age as important predictors. In Model III, our BF, DT, and LR algorithms identified CPK, BMI, MPV, BUN, FBG, sex, creatinine (Cr), age, and total bilirubin as important predictors. CONCLUSION The proposed BF, DT, and LR models appear to be able to predict and classify infected and non-infected people based on CPK, BUN, BMI, MPV, FBG, Sex, Cr, and Age which had a high association with COVID-19.
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Affiliation(s)
- Amin Mansoori
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Nafiseh Hosseini
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Faculty of Medicine, Islamic Azad University of Mashhad, Mashhad, Iran
| | - Hamideh Ghazizadeh
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Division of Clinical Biochemistry, CALIPER Program, Pediatric Laboratory Medicine, the Hospital for Sick Children, Toronto, ON, Canada
| | - Malihe Aghasizadeh
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Susan Drroudi
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Toktam Sahranavard
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hanie Salmani Izadi
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Amiriani
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ehsan Mosa Farkhani
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Gordon A Ferns
- Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, BN1 9PH, Sussex, UK
| | - Majid Ghayour-Mobarhan
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohsen Moohebati
- Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Habibollah Esmaily
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Kolahi Ahari R, Mansoori A, Sahranavard T, Miri MS, Feizi S, Esmaily H, Ghayour‐Mobarhan M. Serum uric acid to high-density lipoprotein ratio as a novel indicator of inflammation is correlated with the presence and severity of metabolic syndrome: A large-scale study. Endocrinol Diabetes Metab 2023; 6:e446. [PMID: 37605374 PMCID: PMC10638626 DOI: 10.1002/edm2.446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 07/31/2023] [Accepted: 08/04/2023] [Indexed: 08/23/2023] Open
Abstract
INTRODUCTION We investigated the association of serum uric acid to high-density lipoprotein ratio (UHR) with the presence and severity of metabolic syndrome (MetS) among MASHAD cohort participants. METHODS In this cross-sectional study, according to International Diabetes Federation criteria, the cohort participants were divided into MetS (+) and MetS (-) groups. MetS (+) were classified into Group 1 (those with 3 MetS criteria), Group 2 (those with 4 MetS criteria) and Group 3 (those with 5 MetS criteria). UHR was compared among the groups. RESULTS Data related to 9637 subjects including 3824 MetS (+) and 5813 MetS (-) were analysed. The mean UHR was significantly higher (p < .001) in the MetS (+) group compared with the MetS (-) group. UHR increased as the MetS severity increased (p < .001). ROC analysis revealed that UHR greater than 9.5% has 89.07% sensitivity and 77.03% specificity in differentiating MetS (-) from MetS (+) subjects. CONCLUSION Among MASHAD cohort study participants, a significant association between UHR and MetS was found. Furthermore, there is an increase in UHR as the severity of MetS increases. Registration number of MASHAD cohort study: 85134.
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Affiliation(s)
- Rana Kolahi Ahari
- International UNESCO Center for Health‐Related Basic Sciences and Human NutritionMashhad University of Medical SciencesMashhadIran
| | - Amin Mansoori
- International UNESCO Center for Health‐Related Basic Sciences and Human NutritionMashhad University of Medical SciencesMashhadIran
- Department of Biostatistics, School of HealthMashhad University of Medical SciencesMashhadIran
| | - Toktam Sahranavard
- International UNESCO Center for Health‐Related Basic Sciences and Human NutritionMashhad University of Medical SciencesMashhadIran
| | - Monireh Sadat Miri
- Department of Biology, Faculty of Sciences, Mashhad BranchIslamic Azad UniversityMashhadIran
| | - Sara Feizi
- Department of Biology, Faculty of Sciences, Mashhad BranchIslamic Azad UniversityMashhadIran
| | - Habibollah Esmaily
- Department of Biostatistics, School of HealthMashhad University of Medical SciencesMashhadIran
| | - Majid Ghayour‐Mobarhan
- International UNESCO Center for Health‐Related Basic Sciences and Human NutritionMashhad University of Medical SciencesMashhadIran
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