Literature DB >> 28458704

Association of Helicobacter pylori infection with metabolic parameters and dietary habits among medical undergraduate students in southeastern of Iran.

Omid Eslami1, Mansour Shahraki2, Touran Shahraki3, Hossein Ansari4.   

Abstract

BACKGROUND: To date, there is still inconclusive evidence on the extra-gastric manifestations of Helicobacter pylori (H.pylori) infection. This study aimed to determine whether there is an association between H.pylori infection with metabolic syndrome and dietary habits among medical undergraduate students in south-eastern of Iran, Zahedan.
MATERIALS AND METHODS: This cross-sectional study was done among 363 undergraduate students in Zahedan University of Medical Sciences during spring 2014. All subjects completed a questionnaire including demographic factors and dietary habits. Serum H. pylori-specific IgG antibodies, total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), and fasting blood sugar (FBS) levels were measured after an overnight fast.
RESULTS: The seroprevalence of H. pylori infection was 45.7%. H. pylori-positive subjects had lower mean levels of TC and TG and higher levels of HDL-C compared to H. pylori-negative subjects. In addition, lower levels of LDL-C (P = 0.044) and FBS (P = 0.05) were observed among subjects with positive H pylori infection. Only rare consumption of raw vegetables (odds ratio [OR] =3.74, 95% confidence interval [CI] =1.37-5.24) as well as higher levels of FBS (OR = 1.031, 95% CI = 1.001-1.99) were significantly associated with higher odds of H. pylori infection in both the univariate and multiple logistic regression analysis.
CONCLUSION: In a small population of young students in southeastern of Iran, H. pylori infection was associated with low consumption of raw vegetables and higher serum blood glucose.

Entities:  

Keywords:  Dietary habits; Helicobacter pylori; metabolic parameters; southeastern of Iran; undergraduate students

Year:  2017        PMID: 28458704      PMCID: PMC5367208          DOI: 10.4103/1735-1995.199091

Source DB:  PubMed          Journal:  J Res Med Sci        ISSN: 1735-1995            Impact factor:   1.852


INTRODUCTION

Helicobacter pylori is a Gram-negative, microaerophilic, spiral-shaped bacterium which is categorized as a Class I carcinogen in 1994 by the World Health Organization.[12] The infection rate varies by country and is higher in developing countries than in developed nations.[3] In Iran, it is estimated about half the population is infected with H. pylori.[45] The role of H. pylori infection in gastric-related diseases, such as peptic ulcers, mucosa-associated lymphoid tissue - lymphoma, and gastric cancer has been well documented.[6] In recent years, researchers have investigated the extragastric manifestations of H. pylori. It is hypothesized that chronic inflammation induced by H. pylori may alter lipid and glucose metabolism through releasing inflammatory mediators including cytokines (e.g., interleukin [IL]-1, IL-6, tumor necrosis factor-α [TNF-α], interferon-α], and acute phase proteins (e.g., C-reactive protein [CRP]). Moreover, H. pylori colonization can influence on releasing gastrointestinal hormones such as ghrelin, leptin, gastrin, and somatostatin which may result in alteration in glucose homeostasis. Therefore, chronic H. pylori infection may increase the risk of the development of dyslipidemia, insulin resistance, and related morbidities.[789] This hypothesize was confirmed in a large population of Taiwanese adults by Chen et al. which showed H. pylori infected participants had significantly higher fasting blood sugar (FBS), low-density lipoprotein-cholesterol (LDL-C) and triglycerides (TG), and lower high-density lipoprotein-cholesterol (HDL-C) levels compared to uninfected ones.[10] Although some researches did not report such a relation.[1112] It is believed that environmental factors can potentially affect the development of H. pylori infection in different population.[13] In comparison with other environmental factors, less attention has been paid to the relationship of diet with H. pylori infection. It is suggested that some dietary factors such as fruits and vegetables may have a protective effect against H. pylori infection likely due to their antioxidants-rich contents.[1415] On the other hand, some reports indicated that diet may increase the susceptibility to H. pylori infection through contamination of foods with H. pylori bacterium.[1617] The relationship of diet-infection is still unclear and providing further evidences to elucidate this association seems to be crucial. Although there are many epidemiological studies in Iran on the prevalence of H. pylori infection in different geographical regions and subpopulations, but only a few of them have investigated the extragastric manifestations of H. pylori. For this reason, the aim of this study was to investigate the prevalence of H. pylori infection and its relationship with serum lipid profile, FBS, and dietary habits among undergraduate students of Zahedan University of Medical Sciences.

MATERIALS AND METHODS

Study subjects, geographical area, inclusion and exclusion criteria

This cross-sectional descriptive study was performed on undergraduate students of Zahedan University of Medical Sciences during spring 2014 at Zahedan City, Center of Sistan and Baluchestan Province, Iran. All undergraduate students aged 18–24-year-old were enrolled at the study. Subjects with previous or current treatment with proton pump inhibitors or prior H. pylori eradication therapy or serious illness were excluded from the study. Finally, a total of 363 students were recruited into the study. Informed consent was obtained from each subject. The study protocol was approved by the Ethics Committee of Zahedan University of Medical Sciences (Research Project Number: 6751) and Research Center for Children and Adolescent Health, Zahedan, Islamic Republic of Iran.

Data collection

Data were collected by a self-questionnaire including demographic characteristics and dietary habits. Age, sex, parental education, marital status, family size, place of living, drinking water source, consumption of tea, cola, raw vegetables, fruits, and dairy foods of study subjects were recorded in a database.

Serological detection of Helicobacter pylori-specific IgG antibodies

Blood samples were collected from the subjects by taking 5 ml of venous blood between 07:00 and 10:00 am after an overnight fast (12 h of fasting). H. pylori-specific IgG antibodies were determined by an enzyme-linked immunosorbent assay (ELISA) using PishtazTeb Kits (PhishtazTeb Diagnostic Co., Tehran, Iran) with reported a sensitivity of 97% and a specificity of 91%. A cutoff antibody titers ≥20 were interpreted as positive according to the manufacturer's instructions.

Evaluation of serum lipid profile and fasting blood sugar

Total cholesterol (TC) and TG concentrations were measured by enzymatic methods with cholesterol esterase, cholesterol oxidase, and glycerol phosphate oxidase using ParsAzmoon Kits (ParsAzmoon Co., Tehran, Iran). The interassay coefficients of variability (inter-assay %CV) of TC and TG kits were reported 2% and 1.6%. The HDL-C levels were measured by use of a phosphotungstic acid and magnesium chloride fluid for the precipitation of the apolipoprotein B-containing lipoproteins. The LDL-C levels were calculated according to the Friedewald formula.[18] Serum FBS was assayed using an enzymatic method with glucose oxidase (ParsAzmoon Kit, inter-assay %CV = 3%).

Statistical analysis

All data were analyzed using Stata version 12 software (Stata Corporation, College Station, Texas, USA). Categorical variables were compared using the Chi-square test. The normality of parameters was determined using the Kolmogorov–Smirnov test. The independent sample t-test or Mann–Whitney U-test were used to compare continuous variables between two groups as appropriate. Logistic regression analysis was done to evaluate the adjusted association of H. pylori infection as a binary dependent variable with other study variables. Model estimation and the goodness-of-fit of the logistic regression model were evaluated by the Hosmer and Lemeshow test. The test showed a goodness-of-fit for the model adjustment (P = 0.51), obtaining a sensitivity of 76%, and a specificity of 81% with a cutoff of 49%. Variance inflation factor was used to assess the multicollinearity, and there was no collinearity between independent variables. Hence, all independent variables were entered to the final multiple logistic regression model. P < 0.05 was defined as statistically significant.

RESULTS

Among 363 students, 166 (45.7%) had H. pylori infection. Table 1 shows the demographic and lifestyle characteristics of students. The subjects of study were consisted of 52.9% male and 47.1% female with the mean age of 21.9 ± 2.12, respectively. The majority were unmarried, lived in urban regions, and came from at least four member families. On the basis of parental education level, almost one-third (35.5%) had a father with university degree or a mother with <8 years of education. The piped water was the main drinking water source of study subjects. Consumption of tea, cola, raw vegetables, fruits, and dairy foods were reported one to six times per week by half of the students, respectively. The Chi-square test showed no statistically significant difference in mentioned demographic variables and dietary habits between H. pylori-positive and H. pylori-negative subjects.
Table 1

Bivariate analysis of the demographic characteristics and dietary habits (as independent variables) with Helicobacter pylori infection among medical undergraduate students in southeastern of Iran

Bivariate analysis of the demographic characteristics and dietary habits (as independent variables) with Helicobacter pylori infection among medical undergraduate students in southeastern of Iran Table 2 compared the serum blood lipids and glucose between H. pylori-positive and H. pylori-negative subjects. H. pylori-positive subjects had significantly lower mean levels of LDL-C (P = 0.044) and FBS (P = 0.05) compared to H. pylori-negative ones. No significant difference was found in mean levels of TC, TG and HDL-C between the two groups.
Table 2

The mean and standard deviation of laboratory data for Helicobacter pylori-positive and Helicobacter pylori-Negative students in southeastern of Iran

The mean and standard deviation of laboratory data for Helicobacter pylori-positive and Helicobacter pylori-Negative students in southeastern of Iran As it shown in Table 3, univariate analysis showed that male gender (odds ratio [OR] =1.4, 95% confidence interval [CI] =1.05–2.67) and higher level of LDL-C (OR = 1.11, 95% CI = 1.05–1.98) were significantly associated with higher odds of H. pylori infection. While such an association was not maintained in multiple logistic regression model. Also, living in families with four family members or less was significantly associated with increased odds of H. pylori infection in logistic regression analysis (OR = 1.95, 95% CI = 1.17–4.23). Only rare consumption of raw vegetables (OR = 3.74, 95% CI = 1.37–5.24), as well as higher levels of FBS (OR = 1.031, 95% CI = 1.001–1.99) were significantly correlated with higher odds of H. pylori infection in both the univariate and multiple logistic regression analysis.
Table 3

Results of univariate and multiple logistic regression analysis between dependent and independent variables (dependent variable is Helicobacter pylori infection status)

Results of univariate and multiple logistic regression analysis between dependent and independent variables (dependent variable is Helicobacter pylori infection status)

DISCUSSION

With respect to the high prevalence of both H. pylori infection and metabolic syndrome in Iranian population,[419] the present study aimed to examine the relationship of H. pylori infection and metabolic parameters among a group of young individuals. Despite the lower mean levels of LDL-C and FBS among H. pylori-positive subjects in bivariate analysis, a higher odds of H. pylori infection was observed with elevated levels of LDL-C in the univariate analysis as well as elevated levels of FBS in both univariate and multiple logistic regression analysis. One possible explanation for these differences is that such adjusted associations might be mediated by the negative effect of confounding variables which were not considered in the univariate analysis model. Therefore, we used the results of logistic regression analysis to interpret our study findings. In terms of H. pylori infection and lipid profile, studies reported contradictory findings. It is believed that proinflammatory cytokines activated by chronic H. pylori infection can create an atherogenic lipid profile through multiple ways such as stimulating lipoprotein lipase activity in adipose tissue, increasing hepatic fatty acid synthesis, and affecting lipolysis.[20] With this regard, some authors considered H. pylori as a possible risk factor for dyslipidemia due to increasing TC, TG, LDL, and decreasing HDL levels.[91021] In the present study, H. pylori-positive subjects had lower mean levels of TC, TG, LDL-C, and higher levels of HDL-C compared to H. pylori-negative subjects, but it was only significant for LDL-C levels in bivariate analysis. Although in univariate analysis, we observed higher odds of H. pylori infection with elevated levels of LDL-C, which was not sustained significant in logistic regression analysis. Similar results were reported by Sotuneh et al. and Naja et al. They suggested that the strain type of H. pylori or the host genetic factors could affect inflammatory response to H. pylori and by this way, H. pylori might act differently in blood lipids modifications.[1112] The variation observed in blood lipid levels in the present study in comparison with above-mentioned reports may be the result of different lifestyle habits of study population such as differences in dietary factors, physical activity, and smoking status. These factors can potentially affect blood lipids and thus should be regarded alongside with H. pylori infection when interpreting the results.[22] The association between glycemic status and H. pylori infection remains unclear. In this study, logistic regression analysis revealed that H. pylori infection was significantly associated with elevated FBS levels. Some authors have considered H. pylori infection as a risk factor for the development of insulin resistance. They suggested that proinflammatory cytokines produced by H. pylori infection such as CRP, IL-6, and TNF-α may shift glucose metabolism toward a diabetogenic direction by multiple mechanisms including stimulatory effect on secretion of insulin counter-regulatory hormones or cytokines, increasing free fatty acids oxidation, interfering with the action of glucose transporter protein GLUT4, altering the structure of insulin receptor substrate, and thus impairing action of insulin. In addition, H. pylori decreases ghrelin levels, which related to higher fasting insulin concentrations, and increases leptin levels, which may result in impairment of glucose-stimulated insulin secretion and apoptosis of pancreatic β-cells. On the other hand, H. pylori can increases gastrin levels which increase glucose-stimulated insulin secretion, and decreases somatostatin levels, which inhibits insulin secretion. Therefore, H. pylori infection may lead to the development of insulin resistance.[7923] However, other studies found no association between H. pylori infection and glycemic status.[1112] The inconsistent results reported by studies may be due to the differences in study population characteristics and their methodology. In terms of H. pylori infection and dietary habits, we found an inverse association between H. pylori infection and consumption of raw vegetables. This is in line with findings of some previous reports.[1415] New evidence suggested that phytochemical components found in vegetables such as isothiocyanate sulforaphane and glucosinolate can inhibit H. pylori colonization and gastric mucosa inflammation and thus, they may have antibacterial activity against H. pylori.[24] In contrast, some studies reported that H. pylori-positive individuals had significantly higher intake of raw vegetables compared to negative ones which may be contributed intransmission of bacteria through contaminated foods probably due to poor hygiene conditions of study population.[1617] Moreover, the results of some clinical trials represented the beneficial effects of dietary factors such as Omega-3 polyunsaturated fatty acids or sulforaphane-rich broccoli sprouts in inhibition of H. pylori colonization, attenuation of H. pylori-induced inflammation, and modifying blood lipid distortion among H. pylori- infected patients.[2526] These finding may strengthen the possible role of diet in H. pylori infection. However, more researches especially longitudinal ones are needed to clarify the relationship of diet-infection. A potential limitation of this study is the small sample size of study which might limited the ability to detect significant results. Increased sample size would be needed to confirm the observed tendency toward metabolic parameters in H. pylori-infected subjects. Another limitation is the lack of ability of serological tests to distinguish a current H. pylori infection from a past one. As a result, it might lead to false positive results particularly in those with a history of H. pylori eradication treatment.[27] However, to reduce this error, we had already excluded individuals with a history of H. pylori eradication treatment. In addition, the fact that we did not consider some confounding factors such as physical activity and smoking status in this study might weakened our findings regarding to metabolic parameters and therefore should be regarded as a limitation.

CONCLUSION

The present study showed that in a small population of young students in southeastern of Iran, H. pylori infection was only associated with low consumption of raw vegetables and higher serum blood glucose levels after adjusting for other parameters. It is recommended that future researches examine the interaction between H. pylori infection and metabolic parameters according to different genotypes of H. pylori in Iran as well as the host genetic factors.

Financial support and sponsorship

The study was supported by Zahedan University of Medical Sciences.

Conflicts of interest

There are no conflicts of interest.

AUTHORS' CONTRIBUTION

OE contributed in the conception of the work, conducting the study, writing the manuscript, approval of the final version of the manuscript, and agreed for all aspects of the work, MSh contributed in the conception and design of the work, revising the draft, approval of the final version of the manuscript, and agreed for all aspects of the work, TSh contributed in the conception of the work, revising the draft, approval of the final version of the manuscript, and agreed for all aspects of the work, HA contributed in the conception of the work, analyzing the data, approval of the final version of the manuscript, and agreed for all aspects of the work.
  27 in total

Review 1.  Clinical practice. Helicobacter pylori infection.

Authors:  Kenneth E L McColl
Journal:  N Engl J Med       Date:  2010-04-29       Impact factor: 91.245

2.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

3.  Helicobacter Pylori infection is a significant risk for modified lipid profile in Japanese male subjects.

Authors:  Hiroki Satoh; Yasuaki Saijo; Eiji Yoshioka; Hiroyuki Tsutsui
Journal:  J Atheroscler Thromb       Date:  2010-07-02       Impact factor: 4.928

4.  Prevalence and risk factors of Helicobacter pylori infection in Chinese maritime workers.

Authors:  Dongmei Hu; Jing Shao; Ligang Wang; Huichun Zheng; Yan Xu; Guirong Song; Qigui Liu
Journal:  Ann Hum Biol       Date:  2013-06-25       Impact factor: 1.533

5.  Dietary and socio-economic factors in relation to Helicobacter pylori re-infection.

Authors:  Mirosław Jarosz; Ewa Rychlik; Magdalena Siuba; Wioleta Respondek; Małgorzata Ryzko-Skiba; Iwona Sajór; Sylwia Gugała; Tomasz Błazejczyk; Janusz Ciok
Journal:  World J Gastroenterol       Date:  2009-03-07       Impact factor: 5.742

Review 6.  Helicobacter pylori infection and endocrine disorders: is there a link?

Authors:  Konstantinos X Papamichael; Garyphallia Papaioannou; Helen Karga; Anastasios Roussos; Gerassimos J Mantzaris
Journal:  World J Gastroenterol       Date:  2009-06-14       Impact factor: 5.742

Review 7.  Evidence of lifestyle modification in the management of hypercholesterolemia.

Authors:  G S Mannu; M J S Zaman; A Gupta; H U Rehman; P K Myint
Journal:  Curr Cardiol Rev       Date:  2013-02-01

8.  Helicobacter pylori infection and metabolic parameters: is there an association in elderly population?

Authors:  Narges Sotuneh; Seyed Reza Hosseini; Javad Shokri-Shirvani; Ali Bijani; Reza Ghadimi
Journal:  Int J Prev Med       Date:  2014-12

Review 9.  Diagnostic Methods of Helicobacter pylori Infection for Epidemiological Studies: Critical Importance of Indirect Test Validation.

Authors:  Muhammad Miftahussurur; Yoshio Yamaoka
Journal:  Biomed Res Int       Date:  2016-01-19       Impact factor: 3.411

Review 10.  Meta-analysis of the Prevalence of Helicobacter Pylori Infection among Children and Adults of Iran.

Authors:  Mahmood Moosazadeh; Kamran B Lankarani; Mahdi Afshari
Journal:  Int J Prev Med       Date:  2016-03-01
View more
  2 in total

1.  Is the Occurrence or Reversal of Nonalcoholic Fatty Liver Disease Associated with Long-Term Helicobacter pylori Infection among Chinese Adults? A Cohort Study.

Authors:  Xia-Xia Zhao; Rui-Ling Wang; Ming-Hao Liu; Xiao-Jun Huang
Journal:  Gastroenterol Res Pract       Date:  2021-11-24       Impact factor: 2.260

2.  Association between Dietary Habits and Helicobacter pylori Infection among Bahraini Adults.

Authors:  Fatema Habbash; Tariq Abdulkarim Alalwan; Simone Perna; Naila Ahmed; Omar Sharif; Adel Al Sayyad; Clara Gasparri; Cinzia Ferraris; Mariangela Rondanelli
Journal:  Nutrients       Date:  2022-10-10       Impact factor: 6.706

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.