Literature DB >> 32184641

Relationship Between Helicobacter pylori Infection and Nonalcoholic Fatty Liver Disease (NAFLD) in a Developing Country: A Cross-Sectional Study.

Yousry Esam-Eldin Abo-Amer1, Aisha Sabal2, Rehab Ahmed2, Nabil Fathy Esmael Hasan3, Rasha Refaie4, Sahar Mohamed Mostafa2, Ahmed Abdelhaleem Mohamed2, Mahmoud Khalil2, Waleed Elagawy5, Sherief Abd-Elsalam6.   

Abstract

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a very common disease that affects 25-30% of the population in western countries. Many studies have observed the importance of H. pylori infection in the development of insulin resistance, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis, and liver fibrosis and cirrhosis. However, the evidence from different studies was controversial. The present study aimed to investigate the relationship between H. pylori infection and NAFLD in a developing country. PATIENTS AND METHODS: This cross-sectional study included all the attending outpatient clinics at four Major University hospitals and two research and clinical institutes in a developing country in the period between June and October 2019. Patients were assessed for the diagnosis of H. pylori infection as detected by H. pylori antigen in stool; they were also assessed for the diagnosis of NAFLD by ultrasound, fibroscan, and CAP.
RESULTS: The study was conducted on 646 patients; H. pylori infection was found to be present in 538 patients (83.3%). NAFLD (diagnosed by both U/S and Fibroscan with CAP), ALT, AST, hepatomegaly, hypertension, fasting blood sugar were significantly higher in H. pylori +ve group than H. pylori -ve group. After performing Linear regression of independent risk factors of NAFLD to prove or to refute the role of Helicobacter; H. pylori positivity, total cholesterol, degree of fatty liver by ultrasound, fasting blood sugar and diastolic blood pressure were independent risk factors for NAFLD.
CONCLUSION: Helicobacter pylori infection was independent risk factors for NAFLD and correlated with increased degree of steatosis.
© 2020 Abo-Amer et al.

Entities:  

Keywords:  Helicobacter pylori; NAFLD; fibroscan; fibrosis; prevalence; steatosis

Year:  2020        PMID: 32184641      PMCID: PMC7060033          DOI: 10.2147/DMSO.S237866

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Warren and Marshall discovered Helicobacter pylori (H. pylori) in 1983 and reported it in 1984 and in 2005, and they were awarded the Noble prize for this important discovery.1 H. pylori is prevalent throughout the world but is specially more endemic in developing countries.2–4 This infection is also present more in elderly persons than adolescents.5,6 H. pylori infection causes many gastric diseases, such as chronic gastritis, peptic ulcer disease, gastric cancer, and gastric mucosa-associated lymphoid tissue (MALT) lymphoma.6,7 Many studies have observed the importance of H. pylori infection in the development of insulin resistance, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis, and autoimmune diseases in the liver and biliary tract, liver fibrosis, and cirrhosis.8 Non-alcoholic fatty liver disease (NAFLD) is a very common disease that affects 25–30% of the population in western countries.9 Non-alcoholic steatohepatitis (NASH), liver fibrosis and cirrhosis are the consequences of NAFLD and influence the prevalence of morbidity and mortality.9 Fatty liver is significantly more often diagnosed in H. pylori-positive patients.10 A study conducted in Japan demonstrated that H. pylori infection was one of the independent risk factors for the development of NAFLD.11 In another study, H. pylori infection may be one of the hits that contributes to the pathogenesis of NAFLD, and the eradication of H. pylori may be significant in the treatment of this disease.12 The pathogenic mechanism of this phenomenon is unclear. The effect of the gut microbiota, including H. pylori, on liver damage, has not been explored sufficiently. Helicobacter species may cause liver injury via specific toxins.13 Moreover, invasion of Helicobacter in the small bowel mucosa might increase gut permeability and facilitate the passage of bacterial endotoxins via the portal vein to the liver.14 On the other hand, Polyzos et al15 found that there were no significant differences regarding steatosis grade, fibrosis stage, lobular or portal inflammation, or ballooning. This study claimed the role of H. pylori infection in the early-stage NAFLD pathogenesis, which is described as simple steatosis; However, with no further contribution of H. pylori to the progression of NASH. It also remains to be determined if H. pylori are implicated in the natural course of NAFLD, or if it is just an incidental finding. The present study aimed to determine the relationship between H. pylori infection and NAFLD in patients attending the outpatient clinics at four Major University hospitals and two research and clinical institutes in the period between June and October 2019.

Patients and Methods

The study protocol was performed according to the ethical guidelines of the Helsinki Declaration and was approved by the Tanta University Faculty of Medicine clinical research and ethics committee. A written informed consent was signed by all patients participating in the study. This cross-sectional study included all the attending outpatient clinics above 18 years at four Major University hospitals and two research and clinical institutes in a developing country in the period between June and October 2019 and who approved to be enrolled in this study. However, patients with history of Diabetes or hypertension or Dyslipidemia or previous history of steatotic drugs (eg, corticosteroids, contraceptive pills) or previous history of alcohol consumption or a previous history of viral hepatitis or with a history of gastrectomy, or history of auto-immune hepatitis or any other forms of chronic liver disease were excluded from the study. Patients with a previous history of respiratory, heart failure, or renal diseases were also excluded from the study. All patients enrolled in the study were assessed by anthropometric and biochemical measurements. All subjects were assessed after overnight fasting for at least 12–14 hrs. Bodyweight, height, systolic, and diastolic blood pressure (SBP, DBP) were measured by an experienced physician. Body Mass Index (BMI) was calculated as body weight in kilograms divided by body height squared in meters. The guidelines of the United States National Institutes of Health (NIH) stratified the degrees of obesity as follows: BMI below 18.5 kg/m2 as underweight; BMI 18.5 to 24.9 kg/m2 as normal weight; BMI 25.0 to 29.9 kg/m2 as overweight; BMI 30.0 to 34.9kg/m2 as obesity class I; BMI 35.0 to 39.9 kg/m2 as obesity class II and BMI 40.0 kg/m2 or more as obesity class III.15 Blood samples were collected from the cubital vein by one experienced nurse. Fasting serum triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), and serum creatinine (Scr) were measured using Chemistry autoanalyzer Cobas c 311 (Roche diagnostics, Germany). Patients were assessed for the diagnosis of H. pylori infection as detected by H. pylori antigen in stool; they were also assessed for the diagnosis of NAFLD by ultrasound, fibroscan, and CAP. Helicobacter pylori Infection Test: The diagnosis of H. pylori infection was done by ELISA technique using IBL International Kit (Flughafenstrasse, Hamburg, Germany), and Tecan Spectra ELISA reader (supplied by Tecan Group Ltd., Switzerland). Fibroscan: Liver fibrosis and steatosis can be staged using Dimensional ultrasound TE (transient elastography) (FibroScan®, Echosens, Paris, France), which measures the velocity of a low-frequency (50 Hz) elastic shear wave propagating through the liver. This velocity is directly related to tissue stiffness, called the elastic modules (expressed as E=3qv2, where v is the shear velocity and q is the density of tissue, assumed to be constant). The stiffer the tissue, the faster the shear wave propagates. Transient elastography was performed on a patient lying supine, with the right arm elevated to facilitate access to the right liver lobe. The tip of the probe is contacted to the intercostal skin with coupling gel in the 9th to 11th intercostal space at the level where a liver biopsy would be performed. The operator, assisted by a time-motion image, located a liver portion at least 6 cm deep and free of large vascular structures. The operator then pressed the probe button to start the measurements (shots). TE measures LS in a volume that approximates a cylinder 1 cm wide and 4 cm long, between 25 mm and 65 mm below the skin surface. The software determines whether each measurement is successful or not. When a shot is unsuccessful, the machine does not return a value. The final result of a TE session can be regarded as valid if the following criteria are fulfilled: 1) a number of valid shots of a least 10; 2) a success rate (the ratio of valid shots to the total number of shots) above 60%; and 3) an interquartile range (IQR, reflecting the variability of measurements) less than 30% of the median LS measurements (M) value (IQR/M 60.30%). The results are expressed in Kilopascals (KPa) and range from 1.5 to 75 KPa with normal values around 5 KPa, higher in men and in patients with low or high body mass index (BMI) (U-shaped distribution). Machine model is 502. The metabolic syndrome was defined according to the definitions of the American Heart Association and the National Heart, Lung, and Blood Institute, and the International Diabetes Federation as ≥ 3 of the following: (1) waist circumference ≥ 90 cm in men and ≥ 80 cm in women, which are the modified criteria for the Asian population; (2) triglyceride concentration ≥ 150 mg/dL or use of triglyceride-lowering medication; (3) low HDL-C concentration (<40 mg/dL in men and <50 mg/dL in women); (4) systolic blood pressure ≥ 130 mmHg, diastolic blood pressure ≥ 85 mmHg, or use of antihypertensive medication; or (5) fasting glucose level ≥ 100 mg/dL or use of antidiabetic medication or previously diagnosed type 2 diabetes. Statistical Analysis: All statistical analyses were performed using SPSS 25. Continuous variables were presented as mean ± SD or median (interquartile range), and categorical variables were displayed as percentages (%). Non-normally distributed data were logarithmically transformed before analysis. Differences between two groups were tested by χ2 test and Monte Carlo for categorical variables. Linear regression was also used to evaluate the association between H. pylori infection and NAFLD. P < 0.05 was considered statistically significant.

Results

The study was conducted on 646 patients, males were 327 (50.6%) and females were 319 (49.4%). The mean age, weight, height, BMI, ALT, AST, cholesterol, HDL, LDL, triglycerides, liver span, systolic BP, diastolic BP and fasting blood sugar were (36.65 ±11.15, 80.58±14.48, 159.77±32.10, 50.54±22.31, 41.59±14.74, 200.50±40.21, 46.92±6.46, 121.51±33.86, 161.69±60.42, 16.68±1.97, 125.82±13.46, 80.97±8.29, and 107.33±18.32), respectively. Demographic data of all the patients are demonstrated in Table 1.
Table 1

Demographic Data Among All Patients in the Study

Mean±SD
Age (years)36.65±11.146
Weight (kg)80.584±14.4816
Height (cm)159.7690±32.10094
BMI (kg/cm)29.213±5.0612
ALT (IU/L)50.538±22.3057
AST (IU/L)41.591±14.7357
Cholesterol (mg/dL)200.50±40.211
Triglycerides (mg/dL)161.685±60.4182
Liver span (cm)16.680±1.9695
Systolic BP (mmHg)125.82±13.461
Diastolic BP (mmHg)80.97±8.285
Fasting blood sugar (mg/dL)107.33±18.321
HDL (mg/dL)46.92±6.457
LDL (mg/dL)121.51±33.860

Abbreviations: BMI, body mass index; ALT, alanine aminotransferase; AST, aspartate transaminase; BP, blood pressure; HDL, high-density lipoproteins; LDL, low-density Lipoproteins.

Demographic Data Among All Patients in the Study Abbreviations: BMI, body mass index; ALT, alanine aminotransferase; AST, aspartate transaminase; BP, blood pressure; HDL, high-density lipoproteins; LDL, low-density Lipoproteins. H. pylori infection was found to be present in 538 patients (83.3%) and it was higher in females than males. NAFLD (diagnosed by both U/S and Fibroscan with CAP), ALT, AST, hepatomegaly, hypertension, fasting blood sugar were significantly higher in H. pylori +ve group than H. pylori –ve group. However, BMI was higher in H. pylori +ve group than H. pylori –ve group but did not reach the statistical significance. However, there were no significant differences between both groups regarding LDL, metabolic syndrome, and fibrosis stage. HDL level was lower in H. Pylori +ve group than H. Pylori −ve groups. The difference in sociodemographic, anthropometric, and biochemical measurements between H. Pylori +ve and H. Pylori –ve patients are demonstrated in Table 2.
Table 2

Comparison Between Sociodemographic, Anthropometric and Biochemical Measurements Between H. pylori +ve and H. pylori −ve

H. pylori +ve (538) (83.3%)H. pylori –ve (108)(16.7%)P-value
Sex

Male

242(45%)85(78.7%)0.000*

Female

296(55%)23(21.3%)
ALT (IU/L)

Normal

136(25.3%)85(78.7%)0.000*

Elevated

402(74.7%)23(21.3%)
AST (IU/L)

Normal

266(49.4%)72(66.7%)0.001*

Elevated

272(50.6%)36(33.3%)
TAG (mg/dL)

Normal

280(52%)46(42.6%)0.074

Elevated

258(48%)62(57.4%)
Cholesterol (mg/dL)

Normal

312(58%)62(57.4%)0.915

Elevated

226(42%)46(42.6%)
Liver span (cm)

<15 cm

104(19.3%)49(45.4%)0.000*

>15 cm

434(80.7%)59(54.6%)
Systolic BP (mmHg)

Normal

468(87%)78(72.2%)0.002*

Elevated

70(13%)30(27.8%)
Diastolic BP (mmHg)

Normal

468(87%)78(72.2%)0.002*

Elevated

70(13%)30(27.8%)
Fasting bl. Sugar(mg/dL)

Normal

176(32.7%)82(75.9%)0.004*

Elevated

362(67.3%)26(24.1%)
HDL (mg/dL)

Normal

284(52.8%)39(36.1%)0.002*

Elevated

254(47.2%)69(63.9%)
LDL (mg/dL)

Normal

346(64.3%)69(63.9%)1.000

Elevated

192(35.7%)39(36.1%)
BMI (kg/m2)

Underweight

0(0%)0(0%)0.050

Normal

96(17.8%)13(12%)

Overweight

184(34.2)52(48.1%)

Obesity grade I

170(31.6%)33(30.6)

Obesity grade II

76(14.2%)10(9.2%)

Morbid obesity

12(2.2%)0(0%)
Degree of fatty liver (by ultrasound)

0

96(17.8%)26(24%)0.000*

1

80(14.9%)49(45.4%)

2

202(37.6%)10(9.3%)

3

160(29.7%)23(21.3%)
Steatosis

S0

210(39%)40(37%)0.000*

S1

64(11.9%)39(36.1%)

S1-2

8(1.5%)0(0%)

S2

120(22.3%)19(17.6%)

S2-3

8(1.5%)0(0%)

S3

128(23.8%)10(9.3%)
Metabolic Syndrome

Negative

301(56%)67(62%)0.203

Positive

237(44%)41(38%)
Fibrosis

0

446(82.9%)93(86.1%)0.413

1

77(14.3%)14(12.9%)

2

15(2.8%)1(1%)

Note: *Means significant difference.

Comparison Between Sociodemographic, Anthropometric and Biochemical Measurements Between H. pylori +ve and H. pylori −ve Male Female Normal Elevated Normal Elevated Normal Elevated Normal Elevated <15 cm >15 cm Normal Elevated Normal Elevated Normal Elevated Normal Elevated Normal Elevated Underweight Normal Overweight Obesity grade I Obesity grade II Morbid obesity 0 1 2 3 S0 S1 S1-2 S2 S2-3 S3 Negative Positive 0 1 2 Note: *Means significant difference. After performing binary logistic regression BMI, triglycerides (TAG), liver span were negative independent risk factors for NAFLD. However, ALT, degree of fatty liver (By U/S), systolic blood pressure, HDL and LDL were positive independent risk factors for NAFLD. This is demonstrated in Table 3.
Table 3

Binary Logistic Regression of Independent Risk Factors of NAFLD

BS.E.WalddfSig.Exp(B)
Age0.010.0111.22110.2691.012
BMI−0.660.13623.31110.000*0.519
ALT1.100.3499.96510.002*3.010
AST0.130.2690.22810.6331.137
Cholesterol0.320.2581.57510.2101.383
TAG−0.750.2578.47410.004*0.474
Liver span−1.490.43012.05710.001*0.225
Degree of fatty liver (By U/S)1.130.15850.94710.000*3.092
Systolic BP0.800.2828.01610.005*2.224
Diastolic BP0.400.2362.80510.0941.484
Fasting blood sugar−0.130.2180.34110.5590.880
HDL0.740.21312.19010.000*2.101
LDL2.700.28788.04510.000*14.735
Metabolic syndrome−0.230.2141.11710.2910.798
Fibrosis−0.040.2290.02910.8650.962
H. pylori0.030.2210.01710.8971.029
Constant−1.270.4338.61510.003*0.281

Note: *Means significant difference.

Abbreviations: BMI, body mass index, ALT, alanine aminotransferase, AST, aspartate transaminase; BP, blood pressure; HDL, high-density lipoproteins; LDL, low-density lipoproteins; TAG, triglycerides.

Binary Logistic Regression of Independent Risk Factors of NAFLD Note: *Means significant difference. Abbreviations: BMI, body mass index, ALT, alanine aminotransferase, AST, aspartate transaminase; BP, blood pressure; HDL, high-density lipoproteins; LDL, low-density lipoproteins; TAG, triglycerides.

Discussion

H. pylori prevalence varies among countries; generally, the prevalence is about 30% in developed and up to 80% in developing countries.16–18 This was similar to our results, as we found that H. pylori prevalence was 83.3% among the participants in the study. NAFLD was significantly higher in H. pylori (+ve) group than H. pylori (−ve) group. This is in accordance with Dogan et al10 and Polyzos et al15 who found that fatty liver is significantly more often diagnosed in H. pylori-positive patients. The prevalence of NASH was significantly higher in the H. pylori-positive patients (80.8%) than in the H. pylori negative subjects (50.7%, p = 0.008).19 On the other hand, no association between H. pylori infection and NAFLD was found in two recent large clinical trials.20,21 In the current study, H. Pylori infection was more significantly higher in females. This disagrees with Fan et al22 who found that males were more infected with H. pylori positive. H. pylori infection was associated with male gender. ALT, AST, hepatomegaly, hypertension, and fasting blood sugar were significantly higher in H. pylori +ve group than H. pylori −ve group. However, BMI was higher in H. pylori +ve group than H. pylori −ve group but did not reach the statistical significance. There were no significant differences between both groups regarding LDL, metabolic syndrome, and fibrosis stage. HDL level was lower in H. Pylori +ve group than H. Pylori -ve groups. Some studies had shown an association between H. pylori infection and obesity and a more unfavorable metabolic profile.23 Also, Kim et al24 reported higher blood pressure, BMI, total cholesterol, LD-C, triglycerides and HOMA-IR, and lower levels of HDL-C in H. pylori infected patients than those without H. pylori infection. Significantly higher BMI, blood pressure, TG, LDL-C and UA levels in H. pylori group than the control group, also found by Fan et al.22 Consistent to these previous studies, our present study showed higher BMI, hypertension, fasting blood sugar, lower HDL higher in H. pylori +ve group than H. pylori −ve group. However, the prevalence of obesity and T2DM was similar between the subjects with and without H. pylori according to a recent study.19 Also, Akbas et al25 reported that there were no significant differences regarding serum HDL-C, LDL-C, or TC levels between H. pylori-seropositive and H. pylori-seronegative individuals, whereas the serum TG level was higher in the H. pylori-positive group. The levels of AST and ALT were significantly higher in H. pylori infected patients than those without infection. This agrees with that found by Sumida et al19 who reported that there was significant difference between both groups regarding AST and ALT between those with or without H. pylori infection. Ultrasonic examination, which was applied in the present study for diagnosis of NAFLD, is not sensitive enough to detect mild liver steatosis.22 The sensitivity and specificity of ultrasound for detecting hepatic steatosis vary from 60% to 94% and 88% to 95%, respectively. However, the sensitivity of ultrasound decreases with lower degrees of fatty infiltration. In the presence of ≥30% fatty infiltration, the sensitivity of ultrasound is 80% compared with a sensitivity of 55% when hepatic fat content is 10% to 19%.26 Steatosis is reported to be detectable by US when more than 20% of hepatocytes contain histologically visible fat droplets, with a reported sensitivity of 79.7% and specificity of 86.2%.27 We found that there was no statistically significant difference between both groups as regards liver fibrosis. This is in agreement with Polyzos et al12 who found no significant difference in fibrosis stage between both groups, with or without infection. But, this is in disagreement with Sumida et al19 who reported that the hepatic fibrosis grades were higher in H. pylori seropositive patients. On the other hand, Polyzos et al12 reported that there was no significant difference between both groups regarding steatosis grade, which in contrary to our results, as we found that H. pylori positive group had more steatosis. The present study showed that BMI, triglycerides (TAG), liver span were negative independent risk factors for NAFLD. However, ALT, degree of fatty liver (By U/S), systolic BP, HDL, and LDL were positive independent risk factors for NAFLD. This is in agreement with, Sumida et al19 who reported that univariate analysis revealed that hypertension was significantly correlated with NASH. In agreement to our results, a recent study showed that the risk factors for NAFLD were age, male gender, BMI, smoking, and CRP concentration.21 However, multivariate logistic analysis showed no independent association between H. pylori infection and NAFLD.22 Meta-analysis of data from longitudinal studies showed that H. pylori infection was also associated with increased NAFLD incidence.28 The pooled results from 12 studies indicated a higher risk of NAFLD in patients infected with H. pylori.29 Helicobacter pylori infection may be an independent risk factor in NAFLD progress.30 The main limitations of the study are the relatively small-sized population. So, large-scale studies are needed. Also, our study relied on imaging and Fibroscan assessment for NAFLD and not on liver biopsy which is the gold standard for evaluation of fibrosis stage and necroinflammatory grade as many of patients refuse doing liver biopsy. In conclusion, H. pylori was an independent risk factor for NAFLD and correlated with increased degree of steatosis.
  30 in total

1.  A case-control study of association of Helicobacter pylori infection with morbid obesity in Taiwan.

Authors:  Ming-Shiang Wu; Wei-Jei Lee; Hsih-Hsi Wang; Shi-Pei Huang; Jaw-Town Lin
Journal:  Arch Intern Med       Date:  2005-07-11

2.  Helicobacter pylori infection might have a potential role in hepatocyte ballooning in nonalcoholic fatty liver disease.

Authors:  Yoshio Sumida; Kazuyuki Kanemasa; Shunsuke Imai; Kojiro Mori; Saiyu Tanaka; Hideto Shimokobe; Yoko Kitamura; Kohei Fukumoto; Akira Kakutani; Tomoyuki Ohno; Hiroyoshi Taketani; Yuya Seko; Hiroshi Ishiba; Tasuku Hara; Akira Okajima; Kanji Yamaguchi; Michihisa Moriguchi; Hironori Mitsuyoshi; Kohichiroh Yasui; Masahito Minami; Yoshito Itoh
Journal:  J Gastroenterol       Date:  2015-01-28       Impact factor: 7.527

3.  A cohort study on Helicobacter pylori infection associated with nonalcoholic fatty liver disease.

Authors:  Tae Jun Kim; Dong Hyun Sinn; Yang Won Min; Hee Jung Son; Jae J Kim; Yoosoo Chang; Sun-Young Baek; Soo Hyun Ahn; Hyuk Lee; Seungho Ryu
Journal:  J Gastroenterol       Date:  2017-04-05       Impact factor: 7.527

4.  Ultrasonographic quantitative estimation of hepatic steatosis in children With NAFLD.

Authors:  Angela Shannon; Naim Alkhouri; Christine Carter-Kent; Lidia Monti; Rita Devito; Rocio Lopez; Ariel E Feldstein; Valerio Nobili
Journal:  J Pediatr Gastroenterol Nutr       Date:  2011-08       Impact factor: 2.839

5.  Helicobacter pylori infection increases mucosal permeability of the stomach and intestine.

Authors:  Y Fukuda; H Bamba; M Okui; K Tamura; N Tanida; M Satomi; T Shimoyama; T Nishigami
Journal:  Digestion       Date:  2001       Impact factor: 3.216

6.  The assessment of carotid intima media thickness and serum paraoxonase-1 activity in Helicobacter pylori positive subjects.

Authors:  Halide S Akbas; Sebahat Basyigit; Inci Suleymanlar; Didem Kemaloglu; Serkan Koc; Fatih Davran; Ibrahim Demir; Gultekin Suleymanlar
Journal:  Lipids Health Dis       Date:  2010-08-30       Impact factor: 3.876

Review 7.  Helicobacter pylori research: historical insights and future directions.

Authors:  Kwong Ming Fock; David Y Graham; Peter Malfertheiner
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2013-06-11       Impact factor: 46.802

8.  Helicobacter pylori Infection Is Not Associated with Non-alcoholic Fatty Liver Disease: A Cross-Sectional Study in China.

Authors:  Nengguang Fan; Liang Peng; Zhenhua Xia; Lijuan Zhang; Yufan Wang; Yongde Peng
Journal:  Front Microbiol       Date:  2018-01-31       Impact factor: 5.640

9.  Helicobacter pylori infection and risk of salmonella infection.

Authors:  Rasha I Salama; Mohamed H Emara; Hanan M Mostafa; Sherief Abd-Elsalam; Sherein Mohamed Alnabawy; Samah A Elshweikh; Mariam Salah Zaghloul
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

10.  A 2-week Nitazoxanide-based quadruple treatment as a rescue therapy for Helicobacter pylori eradication: A single center experience.

Authors:  Sherief Abd-Elsalam; Abdelrahman Kobtan; Ferial El-Kalla; Walaa Elkhalawany; Sally El Nawasany; Sabry Abou Saif; Mohamed Yousef; Lobna Abo Ali; Samah Soliman; Loai Mansour; Eslam Habba; Hanan Soliman; Fatma Rizk; Mona Ah Shehata
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

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1.  Helicobacter pylori Infection and Non-alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis.

Authors:  Keyvan Heydari; Mohammad Yousefi; Reza Alizadeh-Navaei; Parisa Lotfi; Fateme Sheydaee; Maedeh Raei; Alireza Vahdatinia; Amirhossein Hessami; Sajjad Rafati; Mahmood Moosazadeh; Roya Ghasemian; Fatemeh Salehi; Haleh Massoudi; Fatemeh Ghaffari-Saravi; Sahar Rismantab
Journal:  Turk J Gastroenterol       Date:  2022-03       Impact factor: 1.555

Review 2.  Relationship between Helicobacter pylori infection and nonalcoholic fatty liver disease: What should we expect from a meta-analysis?

Authors:  Lin Wei; Hui-Guo Ding
Journal:  Medicine (Baltimore)       Date:  2021-08-06       Impact factor: 1.817

3.  Intracellular Presence of Helicobacter pylori and Its Virulence-Associated Genotypes within the Vaginal Yeast of Term Pregnant Women.

Authors:  Kimberly Sánchez-Alonzo; Lillian Matamala-Valdés; Cristian Parra-Sepúlveda; Humberto Bernasconi; Víctor L Campos; Carlos T Smith; Katia Sáez; Apolinaria García-Cancino
Journal:  Microorganisms       Date:  2021-01-08

4.  A Non-Invasive Prediction Model for Non-Alcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Based on the Population of Northern Urumqi, China.

Authors:  Mingyue Xue; Xiaoping Yang; Yuan Zou; Tao Liu; Yinxia Su; Cheng Li; Hua Yao; Shuxia Wang
Journal:  Diabetes Metab Syndr Obes       Date:  2021-02-02       Impact factor: 3.168

5.  A combined association of serum uric acid, alanine aminotransferase and waist circumference with non-alcoholic fatty liver disease: a community-based study.

Authors:  Min Wang; Minxian Wang; Ru Zhang; Liuxin Zhang; Yajie Ding; Zongzhe Tang; Haozhi Fan; Hongliang Wang; Wei Zhang; Yue Chen; Jie Wang
Journal:  PeerJ       Date:  2022-03-04       Impact factor: 2.984

6.  Effects of Exosomes Derived From Helicobacter pylori Outer Membrane Vesicle-Infected Hepatocytes on Hepatic Stellate Cell Activation and Liver Fibrosis Induction.

Authors:  Masoumeh Ebadi Zahmatkesh; Mariyeh Jahanbakhsh; Negin Hoseini; Saina Shegefti; Amir Peymani; Hossein Dabin; Rasoul Samimi; Shahin Bolori
Journal:  Front Cell Infect Microbiol       Date:  2022-06-27       Impact factor: 6.073

7.  Associations between Helicobacter pylori with nonalcoholic fatty liver disease and other metabolic conditions in Guatemala.

Authors:  Christian S Alvarez; Andrea A Florio; Julia Butt; Alvaro Rivera-Andrade; María F Kroker-Lobos; Tim Waterboer; Maria Constanza Camargo; Neal D Freedman; Barry I Graubard; Mariana Lazo; Eliseo Guallar; John D Groopman; Manuel Ramírez-Zea; Katherine A McGlynn
Journal:  Helicobacter       Date:  2020-10-02       Impact factor: 5.182

8.  Active Helicobacter pylori Infection is Independently Associated with Nonalcoholic Steatohepatitis in Morbidly Obese Patients.

Authors:  Michael Doulberis; Simone Srivastava; Stergios A Polyzos; Jannis Kountouras; Apostolis Papaefthymiou; Jolanta Klukowska-Rötzler; Annika Blank; Aristomenis K Exadaktylos; David S Srivastava
Journal:  J Clin Med       Date:  2020-03-30       Impact factor: 4.241

  8 in total

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