Literature DB >> 34420402

Association of toll-like receptor 4, 5 and 10 polymorphisms with Helicobacter pylori-positive peptic ulcer disease in a center in Jordan.

Laith Al-Eitan1, Fouad Abdelaziz Almomani1, Sohaib Mahmoud Al-Khatib1, Hanan Abdulraheem Aljamal1, Mohammed Nayef Al-Qusami1, Rawan Abdulraheem Aljamal1.   

Abstract

BACKGROUND: Helicobacter pylori infection is widespread, affecting about 50% of the global population. Polymorphisms in host genes such as the toll-like receptor 4 (TLR4) might affect the susceptibility and severity of infection and treatment success.
OBJECTIVE: Investigate the susceptibility and severity of H pylori infection with host TLR4 (rs11536889, rs4986790, rs200109652, rs10759932), TLR5 (rs5744174, rs2072493, rs746250566), TLR10 (rs559182335, rs10004195) polymorphisms.
DESIGN: Analytical, cross-sectional.
SETTING: Endoscopy clinic at tertiary care center. PATIENTS AND METHODS: Genomic DNA was extracted from formalin-fixed paraffin-embedded tissues collected from H pylori-infected patients and healthy individuals. The single nucleotide polymorphisms (SNPs) within the targeted TLR genes were genotyped to assess the genetic association of various SNPs with disease severity. MAIN OUTCOME MEASURES: Effect of genotype distribution on H pylori infection. SAMPLE SIZE: 250 peptic ulcer patients and 217 controls.
RESULTS: The TLR10 genotype showed no significant association with H pylori infection except for rs10004195 (T>A) (P=.002). The genotype frequency of Rs5744174 in TLR5 had a significant association with the presence of H pylori infection (P=.046, OR=0.52). Except for gender (P=.022), there were no significant associations between clinical and demographic variables and SNPs relating to the severity of the H pylori infections.
CONCLUSIONS: Our findings are consistent with differences in severity of H pylori infection due to TLR SNPs in different ethnic groups. Understanding differences in genetic susceptibility could help in classifying patients and matching patients with various treatment options on a genetic basis. LIMITATIONS: Lack of H pylori pathogenicity features assessment. CONFLICTS OF INTEREST: None.

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Year:  2021        PMID: 34420402      PMCID: PMC8380278          DOI: 10.5144/0256-4947.2021.206

Source DB:  PubMed          Journal:  Ann Saudi Med        ISSN: 0256-4947            Impact factor:   1.526


INTRODUCTION

Helicobacter pylori is one of the most common pathogenic bacteria that colonizes the stomach of approximately 50% of the population worldwide.[1-3] H pylori infection is a global issue associated with a variety of gastric diseases ranging from chronic gastritis, peptic ulcer disease (PUD), gastric lymphoma, gastric cancer to multiple extraintestinal diseases.[4-11] The risk and severity of H pylori infection is influenced by many factors including the host, environmental conditions, strain-specific virulence factors, diet, high salt intake, smoking, host response genes, genetic polymorphisms, and genetic susceptibility.[5,8,12] The epithelial cells of the gastric mucosa are the first line of defense of innate immunity against H pylori infection.[13] The pathogen recognition receptors (PRRs), which recognize various bacterial molecular patterns, play a major role in the stimulation of adaptive immunity.[11] The presence of infecting microorganisms such as H pylori in the gastrointestinal tract is sensed by toll-like receptors (TLRs) that belong to the PRR family.[15,16] H pylori infection is followed by activation of neutrophils and mononuclear cells, which leads to the stimulation of genes involved in the host response. These genes include those encoding antigen-presenting molecules, regulatory cytokines (IL-10), inflammatory cytokines (TNF-α, IL-1, IL-6, and IL-8), and costimulatory molecules that elicit the adaptive immune response.[17,18] Chronic inflammation can be caused by the long-term presence of H pylori colonization of the gastric epithelium.[19] Therefore, an increased immune response, which may eventually lead to an ulcer, can be a precursor of gastric cancer if not controlled.[20] Thus, after weighing the evidence, it is certain that the study of TLR function as an H pylori receptor on the surface of gastric epithelial cells is highly important.[16,21] The impaired activity of these receptors could be involved in an impaired response, damage of related-tissue, infectious diseases, and autoimmunity.[14] Previous studies have demonstrated the association of polymorphisms in TLRs genes including TLR1, TLR2, TLR6, and TLR10 with increased levels of anti-H pylori antibodies generated via TLR and associated with the severity of intestinal meta-plasia linked to H pylori infection.[5,9,22] Therefore, the objective of this study was to examine the association of certain TLR gene polymorphisms with the presence of H pylori infection (susceptibility and severity) in the Jordanian population.

METHODS

Patients recruitment and selection

Participants were all Jordanians older than 18 years who visited the endoscopy clinic for a gastroscopic examination at King Abdullah University Hospital (KAUH), Ramtha, Jordan. A total of 640 formalin-fixed, paraffin-embedded (FFPE) gastric tissue biopsies were collected by the cytology laboratory at KAUH between 2017 and 2018. Of the 468 samples that fulfilled the inclusion criteria, 251 were H pylori positive patients with PUD; 217 H pylori negative patients were used as control subjects (). Demographic data was collected based on a structured questionnaire, while the clinical history was collected from medical records. Patients were eligible for inclusion in the study if they were Jordanian and had a confirmed H pylori infection using gastric antrum biopsy samples by a specialized physician following gastroscopic examination. Eligible patients had no history of gastric surgery. Patients were classified according to the Updated Sydney Classification on H pylori chronic gastritis into two groups (active/acute and inactive/chronic) based on the presence of mononuclear cells in the histopathological analysis.[23] Moreover, the severity of H pylori infection was categorized based on the number of mononuclear cells into three categories (mild, moderate, and severe).[23] Ethical approval was obtained from the Institutional Review Board (IRB) committee at the Jordan University of Science and Technology (no. 15/105/2017).
Figure 1.

Flow chart of the selection and distribution of the participants. FFPE: formalin-fixed, paraffin-embedded

Flow chart of the selection and distribution of the participants. FFPE: formalin-fixed, paraffin-embedded

DNA analysis

The genomic DNA was extracted from FFPE tissue collected from the patients who visited the endoscopy clinics using the commercially available kit, DNeasy Blood & Tissue Kit (Qiagen Ltd., West Sussex, UK). The concentration and purity of extracted DNA was assessed using a NanoDrop 1000 spectrophotometer. The pure DNA samples with their concentrations were sent to the Australian Genome Research Facility (AGRF, Melbourne Node, Melbourne, Australia) for genotyping of TLR4 (rs11536889, rs4986790, rs200109652, and rs10759932), TLR5 (rs5744174, rs2072493, and rs746250566), and TLR10 (rs559182335, and rs10004195) using the Sequenom MassARRAY system (iPLEX GOLD) (Sequenom, San Diego, CA, United States).

Statistical analysis

Genotypic, allelic, and clinical data association was performed using IBM SPSS version 25.0 (IBM Corp. Armonk, NY). The distribution of the studied single nucleotide polymorphisms (SNPs) in patients and controls and the association of these polymorphisms with the severity and activity of H pylori infection was tested using the chi-square test. The Hardy-Weinberg equilibrium (HWE) values for genotype distribution and minor allele frequency (MAF) was calculated using the SNPStats Web Tool ().

RESULTS

The 468 DNA samples consisted of 217 controls and 250 PUD patients. The median (interquartile range) age of patients and controls were 41 (23.8) and 53 (30), respectively. Overall, there were 98 females (45.2%) and 119 males (54.8%). About half of the H pylori-positive patients (45.2%) had moderate H pylori infection, 26.7% had mild infection, 17.1% had severe infection, and 10.7% had inactive H pylori infection (). Other clinical and demographic characteristics did not differ except for infection activity between males and females (P=.022).
Table 1.

Clinical and demographic characteristics of Jordanian patients with peptic ulcer disease (n=250).

Clinical DataInfection activityP value
MildModerateSevereInactive infection
Total67 (26.7)113 (45.0)43 (17.1)27 (10.7)
Age (years)42 (25.5)39 (18)47 (28.5)34 (27.5).301
Marital status
 Single19(7.6)32 (13.2)6 (2.4)4(1.6).16
 Married48 (19.2)79(31.9)36(14.4)17 (6.8)
 Divorced01 (0.4)00
 Widowed001 (0.4)0
Gender
 Male33 (13.2)57 (22.8)13 (5.2)7 (2.8).022
 Female34 (13.6)56 (22.4)30 (12.0)20 (8.0)
Other diseases
 No36(14.4)73 (29.2)2 (8.4)14(5.6).23
 Yes31 (12.4)40 (16.0)22 (8.8)13 (5.2)
Duodenal ulcer
 No58 (23.2)94 (37.6)37 (14.8)25 (10.0).67
 Yes9 (3.6)19(7.6)6 (2.4)2 (0.8)
Esophagitis
 No55 (22.0)90 (36.0)37 (14.8)22 (8.8).85
 Yes12 (4.8)23 (9.2)6 (2.4)5 (2.0)
Epigastric pain
 Yes28 (11.2)53 (21.2)17 (6.8)15 (6.0).49
 No39(15.6)60 (24.0)26 (10.4)12 (4.8)
Chronicity
 Yes67 (26.2)113 (45.2)43 (17.2)25 (10.0).16
 No0002 (0.8)
Proton-pump inhibitors
 No05 (2.0)1 (0.4)2 (0.8).21
 Lansoprazole50 (20.0)80 (32.0)31 (12.4)21 (8.4)
 Esomeprazole2 (0.8)001 (0.4)
 Omeprazole1 (0.7)1 (0.4)00
 Two or three14(0.6)27 (10.8)11 (4.4)3(1.2)
Antibiotics
 No17 (7.6)26 (10.4)9 (3.6)6 (2.4).81
 Amoxicillin3(1.2)2 (0.8)1 (0.4)1 (0.4)
 Clarithromycin1 (0.4)3(1.2)1 (0.4)0
 Amox+Clarith44 (17.6)80 (32.0)30 (12.0)8 (7.2)
 Others02 (0.8)2 (0.8)2 (0.8)

Numbers are n (%), median (interquartile range) for age. Totals may not add to 100% because of missing data on some variables.

Clinical and demographic characteristics of Jordanian patients with peptic ulcer disease (n=250). Numbers are n (%), median (interquartile range) for age. Totals may not add to 100% because of missing data on some variables. Five SNPs were in Hardy-Weinberg equilibrium and normally distributed (rs11536889, rs4986790, rs2072493, and rs746250566), while the other three SNPs (rs10759932, rs5744174, and rs10004195) were not in HWE (P<.05) (). The presence of selection, mutation, migration, and genetic drift mechanisms will affect allele frequencies, indicating that evolution has occurred in a population; this is reflected by violations of HWE assumptions. The last two SNPs, rs200109652 and rs559182335, are monomorphic SNPs.
Table 2.

Minor allele frequencies and the Hardy-Weinberg equilibrium P values of candidate polymorphisms for patients and controls.

GeneChromosomal locationrs numbersMinor allelePatients (n=223)Controls (n=217)
Minor allele frequencyHWE P valueMinor allele frequencyHWE P value
TLR49q33.1rs11536889C.1.48.09.061
rs4986790G.01.999.02.999
rs200109652C1NA1NA
rs10759932C.16.0005.16.02
TLR51q41rs5744174G.38<.0001.4.011
rs2072493C.1.61.08.999
rs746250566A0.9991.999
TLR104p14rs559182335T1NA1NA
rs10004195A.07<.0001.15<.0001

HWE: Hardy-Weinberg equilibrium

Minor allele frequencies and the Hardy-Weinberg equilibrium P values of candidate polymorphisms for patients and controls. HWE: Hardy-Weinberg equilibrium For the TLR4 gene, there were no significant differences in the distributions of the polymorphisms between the patients and controls (). For the TLR10 gene, allele T has emerged as a risk factor for PUD, with the homozygous TT and heterozygous AT genotypes of the rs10004195, which were significantly abundant in the patients over the A allele in all genetic models (P=.019, .063, .0056, and .002). If PUD patients carry the AA genotype they have a decreased risk of PUD (OR= 0.34 and P=.019). Moreover, the rs5744174/TLR5 heterozygous GA genotype seems to increase the risk of PUD development. The genotype distribution of the variants based on the activity and severity of H pylori infection lack any statistically significant associations ( and , respectively).
Table 3.

Distribution of the genotypes and alleles among cases and controls.

Gene/SNP/AllelesPatients (n=223)Controls (n=217)Odds ratio (95% Cl)P value
TLR4 (rs11536889)
 GG/GC/CC79.8/19.8/0.484.2/13.9/1.91/1.5/.23.083
 GG/GC + CC79.8/20.284.2/15.81/1.35.23
 GG + GC/CC99.6/0.498.1/1.91 0.21.12
 GG + CC/GC80.2/19.886.1/13.91/1.53.096
 C1090.874.516
 G90911.014
TLR4 (rs4986790)
 AA/AG98.3/1.796.4/3.41/0.5.26
 A99980.992.264
 G121.973
TLR4 (rs20010965)
 CC100100NANA
 C100100NANA
TLR4 (rs10759932)
 TT/TC/CC76.1/18.6/5.373.6/21.2/5.21/0.85/0.99.79
 TT/TC + CC76.1/23.973.6/26.41/0.87.55
 TT + TC/CC94.7/5.394.8/5.21/1.03.95
 TT + CC/TC81.4/18.678.8/21.21/0.85.5
 C15161.082.629
 T85840.986
TLR5 (rs5744174)
 GG/GA/AA30.5/63.2/6.332.9/54.1/12.91/1.26/0.52 .046
 GG/GA + AA30.5/69.532.9/67.11/1.12.61
 GG + GA/AA93.7/6.387.1/12.91/0.45 .024
 GG + AA/GA36.8/63.245.9/54.11/1.46.069
 A62600.969.582
 G38401.051
TLR5 (rs2072493)
 TT/TC/CC81.1/18/0.984.3/15.7/01/1.19/NA.28
 TT/TC + CC81.1/18.984.3/15.71/1.25.39
 TT + TC/CC99.1/0.9100/0.01/NA.11
 TT + CC/TC82/1884.3/15.71/1.18.53
 C1080.795.302
 T90921.023
TLR5 (rs74625056)
 GG/GA100/0.099.5/0.51/0.0.21
 A00.5NA.28
 G10099.50.998
TLR10 (rs55918233)
 TT100100NANA
 T100100NANA
TLR10 (rs10004195)
 TT/AT/AA90.5/4.7/4.784/3.1/131/1.42/0.34 .019
 TT/AT + AA90.5/9.583.9/16.11/0.55.063
 TT + AT/AA95.3/4.787/131/0.33 .0056
 TT + AA/AT95.3/4.796.9/3.11/1.56.43
 A7152.0242 .002
 T93850.92
Table 4.

The effect of genotype distribution of single nucleotide polymorphisms on the activity of infection in patients.

Gene/SN P/AllelesActivityOdds ratio (95% Cl)P value
Yes (n=223)No (n=27)
TLR4 (rs11536889)
 GG/GC/CC79.9/19.6/0.585.2/14.8/01/1.41/NA.73
 GG/GC + CC79.9/20.185.2/14.81/1.45.5
 GG + GC/CC99.5A5100/01/NA.63
 GG + CC/GC80.4/19.685.2/14.81/1.4.54
TLR4 (rs4986790)
 AA/AG98.1/1.9100/01/NA.3
TLR 4 (rs200109652)
 CC100100NANA
TLR4 (rs10759932)
 TT/TC/CC76.5/18/5.572/24/41/.71/1.29.76
 TT/TC + CC76.5/23.572/281/.79.63
 TT + TC/CC94.5/5.596/41/1.4.74
 TT + CC/TC82/1876/241/.7.48
TLR5 (rs5744174)
 GG/GA/AA30.5/62.4/7.125/75/01/.68/NA.14
 GG/GA + AA30.5/69.525/751/.79.58
 GG + GA/AA92.9/7.1NA1/NA.068
 GG + AA/GA37.6/62.425/751/.55.21
TLR5 (rs2072493)
 TT/TC/CC80/18.3/184/16/01/1.19/NA.75
 TT/TC + CC80.7/19.384/161/1.25.669
 TT + TC/CC99/1100/01/NA.48
 TT + CC/TC81.7/18.384/161/1.17.79
TLR5 (rs746250566)
 GG100100NANA
TLR10 (rs559182335)
 TT100100NANA
TLR10 (rs10004195)
 TT/AT/AA91.5/4.8/3.681.8/4.5/13.61/.94/.23.2
 TT/AT + AA91.8/8.381.8/18.21/0.41.18
 TT + AT/AA96.4/3.686.4/13.61/0.23.075
 TT + AA/AT95.2/4.795.5/4.51/1.05.96
Table 5.

The effect of genotype distribution of single nucleotide polymorphisms on the severity of H pylori infection in patients.

Gene/SNP/AllelesSeverityP value
Mild (n=67)Moderate (n=113)Severe (n=43)
TLR4 (rs11536889)
 GG54 (25.2)83 (38.8)34 (15.9).053
 GC7 (3.3)29(13.6)6 (2.8)
 CC1 (0.5)0(0)0(0)
 G115 (26.9)195 (45.6)80 (18.7).001
 C9 (2.1)29(12.9)0(0)
TLR4 (rs4986790)
 AG1 (0.5)1 (0.5)2 (1.0).31
 GG58 (28.2)107 (51.9)37(18)
 G1 (0.2)1 (0.2)2 (0.4).31
 A117 (28.4)215(52.2)76(18.4)
TLR4 (rs200109652)
 CC67 (30.0)113(50.7)43 (19.3)NA
 C134 (30.0)226 (50.7)86 (19.3)NA
TLR4 (rs10759932)
 TT41 (20.5)84 (42.0)28(14).63
 TC13 (6.5)16(8.0)7 (3.5)
 CC4 (2.0)4 (2.0)3(1.5)
 T95 (23.8)184 (46.0)63 (2.0).22
 C21 (5.3)24 (6.0)13 (3.3)
TLR5 (rs5744174)
 GG3 (1.5)6 (3.0)5 (2.5).09
 AG43 (21.8)58 (29.4)22 (11.2)
 AA12 (6.1)38 (19.3)10(5.1)
 A67 (17.0)134 (34.0)42 (10.7).24
 G49 (12.4)70(17.8)32 (8.1)
TLR5 (rs2072493)
 TT46 (23.4)86 (43.7)27 (13.7).07
 TC9 (4.6)14(7.1)13 (6.6)
 CC0(0)2(1.0)0(0).13
 T101 (25.6)186 (47.2)67(17)
 C9 (2.3)18(4.6)13 (3.3)
TLR5 (rs746250566)
 GG67 (30.0)113 (50.7)43 (19.3)NA
 G134 (30.0)226 (50.7)86 (19.3)NA
TLR5 (rs559182335)
 TT65 (26.3)113 (45.7)42 (17.0)NA
 T130 (26.3)226 (45.7)84 (19.1)NA
TLR10 (rs10004195)
 TT49 (29.2)78 (46.4)27 (16.1).062
 AT1 (0.6)7 (4.2)2 (1.2)
 AA1 (0.6)2 (1.2)3 (1.5)
 T99 (29.5)163 (48.5)56 (16.1).18
 A3 (0.9)11 (3.3)6 (1.8)
Distribution of the genotypes and alleles among cases and controls. The effect of genotype distribution of single nucleotide polymorphisms on the activity of infection in patients. The effect of genotype distribution of single nucleotide polymorphisms on the severity of H pylori infection in patients.

DISCUSSION

H pylori infection is worldwide spread, especially in developing countries.[11,24] Once acquired, the infection persists for life if not treated.[25] To the best of the authors' knowledge, there are a limited number of studies on the association between TLR polymorphisms and PUD in countries of the Middle East, especially in the Jordanian population. The study explores possible interactions of certain genetic polymorphisms in TLR4, TLR5, and TLR10 with the risk of H pylori infection, in addition to the severity of the disease. TLR4 was the first TLR identified in humans associated with the recognition of bacterial lipopolysac-charides (LPS, an essential component of the gram-negative bacteria outer membrane).[14] Several studies indicated that TLR variants might decrease the responsiveness to the gram-negative bacteria LPS due to alterations in the binding site, and thus influence the clinical outcome of H pylori.[9,26] This could provide a plausible mechanistic explanation for different outcomes in H pylori-positive individuals.[16] The results of this study revealed no association with susceptibility to H pylori infection (The degree to which individuals are liable to be harmed by H pylori) with the TLR4 polymorphisms. In agreement with Meliţ et al,[27] we found no association between TLR4 variants (rs4986790 and rs4986791) and H pylori infection, which was inconsistent with many previous studies. Additionally, a northern Indian study illustrated that TLR4 rs4986791 is associated with a higher risk for plasma cell infiltration, which leads to atrophy and intestinal metaplasia.[28] The rs4986790 GG geno-type may functionally reduce the TLR4 binding affinity to H pylori LPS, resulting in a weakened adaptive immune response compared to the wild TLR4 type, which may vary by population.[18] The TLR10 showed considerable association in the rs10004195 (T>A) variant. The A allele frequency in the patients (7%) is around half of controls (15%). As a result, the A allele could have protective characteristics against the H pylori infection. The heterodimers formed from TLR10 that are expressed on the surface of gastric epithelial cells with TLR2 and/or TLR6 recognize multiple distinct patterns of H pylori LPS.[18] TLR10 (rs10004195) is linked with infection susceptibility, where the frequency of the TT genotype is reported to be 66% in H pylori-positive cases from a Chinese population.[29] Therefore, the T allele of TLR10 rs10004195 polymorphism showed an increased risk of chronic atrophic gastritis. Significant linkage of the TLR5/rs5744174 implies that the AA genotype could decrease the risk of PUD development due to H pylori infection, a finding consistent with a case-control study that examined TLR5 variants with H pylori infection in Chinese patients who have gastric cancer. Among the studied variants, rs5744174 (P=.001) is associated with gastric cancer susceptibility, indicating that TLR5 variants can impact the role of H pylori infection in gastric cancer formation.[30] On the other hand, rs5744174 was not a risk factor for chronic H pylori in the population of Indian Tamils, where rs2072493 conferred resistance to the infection.[31] In summary, different host cytokine responses to the gastric mucosal inflammation induced by H pylori appear to produce a significant role in the clinical outcome, such as the development of gastric diseases and gastric cancer.[9,32,33] However, the correlation between polymorphisms of host cytokine genes and the susceptibility to H pylori infection and severity of the clinical outcome has not been investigated thoroughly.[25,32] Genetic heterogeneity as a result of ethnic diversity is a vital factor in the variation of allele frequency for several markers; hence, genetic heterogeneity affects the susceptibility and severity of the infection.[34,35] Ultimately, rs10004195/TLR10 and rs5744174/TLR5 variants appear to be genetic risk factors for H pylori infection and severity in the Jordanian population. Our findings further support the evidence of TLR polymorphisms as physiopathological actors in susceptibility to H pylori infection and related gastric problems. This type of genetic susceptibility could help in classifying patients based on their genetic profile and matching patients with various treatment options on a genetic basis.
  34 in total

1.  Association of toll-like receptors 2, 4, 9 and 10 genes polymorphisms and Helicobacter pylori-related gastric diseases in Saudi patients.

Authors:  Emad M Eed; Yousry A Hawash; Amany S Khalifa; Khalaf F Alsharif; Saleh A Alghamdi; Abdulraheem A Almalki; Mazen M Almehmadi; Khadiga A Ismail; Azza A Taha; Taisir Saber
Journal:  Indian J Med Microbiol       Date:  2020 Jan-Mar       Impact factor: 0.985

2.  Association of Helicobacter pylori infection with Toll-like receptor-4 Thr399Ile polymorphism increased the risk of peptic ulcer development in North of Iran.

Authors:  Mehdi Tourani; Maryam Habibzadeh; Javad Shokri-Shirvani; Omid Teymournejad; Amrollah Mostafazadeh; Soraya Khafri; Hamid Reza Nouri
Journal:  APMIS       Date:  2017-11-14       Impact factor: 3.205

Review 3.  Extraintestinal manifestations of Helicobacter pylori: a concise review.

Authors:  Frank Wong; Erin Rayner-Hartley; Michael F Byrne
Journal:  World J Gastroenterol       Date:  2014-09-14       Impact factor: 5.742

Review 4.  The updated Sydney system: classification and grading of gastritis as the basis of diagnosis and treatment.

Authors:  M Stolte; A Meining
Journal:  Can J Gastroenterol       Date:  2001-09       Impact factor: 3.522

5.  The influence of Helicobacter pylori on the ethnic distribution of Barrett's metaplasia.

Authors:  A Sonnenberg; K O Turner; S J Spechler; R M Genta
Journal:  Aliment Pharmacol Ther       Date:  2016-11-09       Impact factor: 8.171

6.  Prevalence of Helicobacter pylori cagA, vacA, iceA, babA2 genotypes in Polish children and adolescents with gastroduodenal disease.

Authors:  Monika Maria Biernat; Grażyna Gościniak; Barbara Iwańczak
Journal:  Postepy Hig Med Dosw (Online)       Date:  2014-08-22       Impact factor: 0.270

7.  Lack of association between gene polymorphisms of Angiotensin converting enzyme, Nod-like receptor 1, Toll-like receptor 4, FAS/FASL and the presence of Helicobacter pylori-induced premalignant gastric lesions and gastric cancer in Caucasians.

Authors:  Juozas Kupcinskas; Thomas Wex; Jan Bornschein; Michael Selgrad; Marcis Leja; Elona Juozaityte; Gediminas Kiudelis; Laimas Jonaitis; Peter Malfertheiner
Journal:  BMC Med Genet       Date:  2011-08-24       Impact factor: 2.103

8.  Helicobacter pylori vacA s1m1 genotype but not cagA or babA2 increase the risk of ulcer and gastric cancer in patients from Southern Mexico.

Authors:  Adolfo Román-Román; Dinorah Nashely Martínez-Carrillo; Josefina Atrisco-Morales; Julio César Azúcar-Heziquio; Abner Saúl Cuevas-Caballero; Carlos Alberto Castañón-Sánchez; Roxana Reyes-Ríos; Reyes Betancourt-Linares; Salomón Reyes-Navarrete; Iván Cruz-Del Carmen; Margarita Camorlinga-Ponce; Enoc Mariano Cortés-Malagón; Gloria Fernández-Tilapa
Journal:  Gut Pathog       Date:  2017-04-13       Impact factor: 4.181

9.  Genetic polymorphisms in TLR1, TLR2, TLR4, and TLR10 of Helicobacter pylori-associated gastritis: a prospective cross-sectional study in Thailand.

Authors:  Taweesak Tongtawee; Theeraya Bartpho; Soraya Kaewpitoon; Natthawut Kaewpitoon; Chavaboon Dechsukhum; Wilairat Leeanansaksiri; Ryan A Loyd; Krajang Talabnin; Likit Matrakool; Sukij Panpimanmas
Journal:  Eur J Cancer Prev       Date:  2018-03       Impact factor: 2.497

10.  Polymorphisms at Locus 4p14 of Toll-Like Receptors TLR-1 and TLR-10 Confer Susceptibility to Gastric Carcinoma in Helicobacter pylori Infection.

Authors:  M Ravishankar Ram; Khean Lee Goh; Alex Hwong Ruey Leow; Bee Hoon Poh; Mun Fai Loke; Richard Harrison; Esaki M Shankar; Jamuna Vadivelu
Journal:  PLoS One       Date:  2015-11-11       Impact factor: 3.240

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