Indexed In : Science Citation Index Expanded(SCIE), MEDLINE,
Pubmed/Pubmed Central, Elsevier Bibliographic, Google Scholar,
Databases(Scopus & Embase), KCI, KoreaMed, DOAJ
Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
All papers submitted to Gut and Liver are reviewed by the editorial team before being sent out for an external peer review to rule out papers that have low priority, insufficient originality, scientific flaws, or the absence of a message of importance to the readers of the Journal. A decision about these papers will usually be made within two or three weeks.
The remaining articles are usually sent to two reviewers. It would be very helpful if you could suggest a selection of reviewers and include their contact details. We may not always use the reviewers you recommend, but suggesting reviewers will make our reviewer database much richer; in the end, everyone will benefit. We reserve the right to return manuscripts in which no reviewers are suggested.
The final responsibility for the decision to accept or reject lies with the editors. In many cases, papers may be rejected despite favorable reviews because of editorial policy or a lack of space. The editor retains the right to determine publication priorities, the style of the paper, and to request, if necessary, that the material submitted be shortened for publication.
Hee Jin Kim1 , Nayoung Kim2,3,4 , Jae Young Jang2,3,4 , Sihyun Kim2 , Jongchan Lee2 , Hyeon Jeong Oh5
Correspondence to: Nayoung Kim
ORCID https://orcid.org/0000-0002-9397-0406
E-mail nakim49@snu.ac.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Gut Liver.
Published online February 23, 2024
Copyright © Gut and Liver.
Background/Aims: The relationship between genetic polymorphisms and gastric inflammation remains unclear. This study aimed to evaluate the impact of genetic polymorphisms on Helicobacter pylori (HP)-associated gastritis according to sex.
Methods: Two hundred thirty-two male and 404 female subjects with current HP infection were prospectively enrolled. The genotyping of IL-1B-511 C/T, IL-1RN variable number of tandem repeats, IL-6-572 G/C, IL-8-251 A/T, IL-8-781 C/T, IL-10-1082 G/A, IL-10-592 C/A, TNF-A-308 G/A, and transforming growth factor (TGF)-B-509 C/T, was determined by polymerase chain reaction-restriction fragment length polymorphism. The degree of monocyte or neutrophil infiltration, atrophic gastritis, and intestinal metaplasia was evaluated using the updated Sydney system.
Results: Among the male subjects, moderate/severe atrophic gastritis of the corpus was higher in IL-1B-511 CC carriers than in CT and TT carriers independent of age, alcohol consumption, and HP virulence factors (26.9% vs 10.4%; adjusted hazard ratio [HR], 4.377; 95% confidence interval, 1.387 to 13.814). In females, IL-8-251 AA carriers were independently and significantly associated with moderate/severe atrophic gastritis of the corpus compared with that in AT and TT carriers (21.4% vs 6.0%, adjusted HR=3.799). In males, the IL-8-251 TT genotype was associated with moderate/severe intestinal metaplasia of the corpus compared with the AT and AA genotypes (13.4% vs 5.6%, adjusted HR=3.128), while the IL-10-592 CA and CC genotypes were associated with moderate/severe monocyte infiltration of the antrum compared with AA genotype (83.6% vs 71.8%, adjusted HR=2.227).
Conclusions: Genetic polymorphisms in cytokines play different roles in HP-associated gastritis according to sex.
Keywords: Helicobacter pylori, Polymorphism, genetic, Sex, Gastritis, Atrophic gastritis
HP-associated inflammation undergoes complex interaction between the host immune responses and bacterial-specific virulence factors. Specific virulence factors of HP such as cytotoxin-associated gene A (
It is generally understood that the age-adjusted incidence rates of GC are 2- to 3-fold higher in males than in females in most populations11 of patients aged >40 years.12 And there have been reports that AG and IM tend to be more severe in males than females.13,14 In a Japanese case-control study, AG and IM scores of the HP-infected corpus appeared more severe in males than in females, especially among older patients, although no difference in IL-8 messenger RNA levels was detected between sexes.14 In a Korean nationwide multicenter prospective study, the prevalence of endoscopic AG and IM in males diagnosed were significantly higher than that in females, and the most important risk factor for AG was age, followed by sex.13 Our research team previously reported that the greatest risk factors for both AG and IM diagnosed by histological examination were HP infection and age (61 years or older), and bacterial virulence factors including
Although most studies on the effects of cytokine genetic polymorphisms in gastroduodenal diseases focused on the risk of associated disease development, there are still limited studies on the association between inflammation severity and SNPs. Considering our previous research, we hypothesized that genetic polymorphism responsible for cytokine production could be sex-specific and it might influence the degree of gastric inflammation. Based on this background, an association study for SNPs, including
We consecutively enrolled 636 individuals registered at Seoul National University Bundang Hospital between 2013 and 2022. All of them were Koreans and had undergone esophagogastroduodenoscopy (EGD) because of symptoms such as epigastric soreness or indigestion or a screening program for GC and/or gastric precancerous lesions. Participants were enrolled as controls if EGD revealed no significant gastroduodenal diseases, such as gastric ulcer (GU), duodenal ulcer (DU), GC, gastric adenoma, gastric mucosa-associated lymphoid tissue lymphoma, or esophageal cancer despite current HP infection. GU, DU, gastric adenoma, and GC had been diagnosed by EGD, and gastric adenoma and GC had been confirmed histologically. All participants who were older than 18 years provided informed consent to participate, and the ethical approval was given by the Ethics Committee of Seoul National University Bundang Hospital (number: B-0602-030-001).
In all participants, 10 gastric biopsy specimens were obtained during EGD for histological examination,17 and a
The extraction of genomic DNA was performed from tissue of gastric antrum.20 The homogenization of the specimens was done using proteinase K solution with sterile micropestle and incubation was done for 3 hours at 52°C.20 The isolation of DNA was performed from the homogenates after phenol/chloroform extraction and ethanol precipitation.
To determine the polymorphisms of
Analyses of
Statistical analyses were conducted using the chi-square test or Fisher exact test, and Student t-test as appropriate. A goodness-of-fit chi-square test was used for Hardy-Weinberg equilibrium with one degree of freedom. The association between the SNPs and the presence of moderate/severe gastric inflammation was evaluated using a logistic regression analysis adjusted for confounders. A multivariate logistic regression analysis was done to evaluate factors associated with moderate/severe gastric inflammation. Age and all significant variables in the univariate analysis were included in the full multivariate analysis. All statistical analyses were performed using SPSS for Windows (version 23.0; SPSS Inc., Armonk, NY, USA). p-values of less than 0.05 were regarded as statistically significant.
Table 1 shows the general characteristics of study population. The study population includes 636 controls, 210 patients with GU, 202 patients with DU, 246 patients with gastric adenoma, and 795 patients with GC. The risk of development of GU, DU, gastric adenoma, and GC was analyzed adjusted by age and sex (Table 2).
Table 1 Clinical Characteristics of
Diagnosis | No. | Age, yr | Male sex |
---|---|---|---|
Control | 636 | 53.97±11.55 | 232 (36.5) |
Gastric ulcer | 210 | 58.72±13.57 | 158 (75.2) |
Duodenal ulcer | 202 | 51.59±14.85 | 131 (64.9) |
Gastric adenoma | 246 | 62.82±9.63 | 166 (67.5) |
Gastric cancer | 795 | 60.09±26.60 | 523 (65.8) |
Data are presented as mean±SD or number (%).
Table 2 Genotype Frequencies and Risk of Development of Gastric Cancer in
Genetic polymorphism | Genotypes | Control | Gastric ulcer | Duodenal ulcer | Gastric adenoma | Gastric cancer | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. (%) | No. (%) | OR (95% CI)* | p-value | No. (%) | OR (95% CI)* | p-value | No. (%) | OR (95% CI)* | p- value | No. (%) | OR (95% CI)* | p- value | ||||||
TT CT+CC | 199 (31.7) 427 (68.3) | 71 (34.0) 138 (66.0) | 0.868 (0.605–1.246) | 0.443 | 47 (23.3) 155 (76.7) | 1.595 (1.091–2.332) | 0.016 | 71 (29.1) 173 (70.9) | 1.111 (0.774–1.594) | 0.568 | 198 (25.1) 592 (74.9) | 1.391 (1.086–1.783) | 0.009 | |||||
L/L L/2+2/2 | 550 (86.6) 85 (13.4) | 176 (83.8) 34 (16.2) | 1.131 (0.707–1.811) | 0.607 | 167 (83.1) 34 (16.9) | 1.307 (0.834–2.050) | 0.243 | 217 (88.9) 27 (11.1) | 0.746 (0.450–1.238) | 0.257 | 700 (88.3) 93 (11.7) | 0.851 (0.608–1.191) | 0.346 | |||||
TT AT+AA | 280 (45.5) 335 (54.5) | 76 (37.8) 125 (62.2) | 1.263 (0.886–1.801) | 0.197 | 69 (35.6) 125 (64.4) | 1.471 (1.042–2.078) | 0.028 | 92 (39.1) 143 (60.9) | 1.186 (0.843–1.669) | 0.328 | 328 (41.6) 461 (58.4) | 1.197 (0.954–1.502) | 0.121 | |||||
CC+CT TT | 544 (87.9) 75 (12.1) | 175 (87.5) 25 (12.5) | 0.964 (0.568–1.635) | 0.891 | 169 (87.6) 24 (12.4) | 1.056 (0.634–1.759) | 0.833 | 208 (89.7) 24 (10.3) | 0.744 (0.434–1.275) | 0.282 | 683 (87.3) 99 (12.7) | 1.009 (0.718–1.417) | 0.959 | |||||
GG+GC GG | 551 (89.2) 67 (10.8) | 198 (94.9) 10 (5.1) | 0.440 (0.211–0.917) | 0.028 | 189 (97.4) 5 (2.6) | 0.225 (0.088–0.574) | 0.002 | 222 (95.3) 11 (4.7) | 0.456 (0.220–0.944) | 0.034 | 737 (94.4) 44 (5.6) | 0.538 (0.354–0.818) | 0.004 | |||||
GA+AA GG | 596 (99.0) 6 (1.0) | 197 (99.0) 2 (1.0) | 1.043 (0.167–6.538) | 0.964 | 187 (98.4) 3 (1.6) | 1.782 (0.415–7.645) | 0.437 | 233 (99.6) 1 (0.4) | 0.511 (0.053–4.978) | 0.564 | 769 (99.2) 6 (0.8) | 0.976 (0.289–3.296) | 0.968 | |||||
AA+CA CC | 532 (85.8) 88 (14.2) | 185 (92.0) 16 (8.0) | 1.038 (1.023–1.053) | 0.055 | 173 (89.2) 21 (10.8) | 0.829 (0.492–1.398) | 0.482 | 210 (89.7) 24 (10.3) | 0.611 (0.359–1.041) | 0.070 | 690 (88.1) 93 (11.9) | 0.809 (0.579–1.130) | 0.214 | |||||
GG GA+AA | 543 (86.3) 86 (13.7) | 170 (82.1) 37 (17.9) | 1.543 (0.972–2.448) | 0.066 | 169 (83.7) 33 (16.3) | 1.153 (0.732–1.816) | 0.540 | 195 (80.2) 48 (19.8) | 1.591 (1.026–2.467) | 0.038 | 661 (84.1) 125 (15.9) | 1.266 (0.923–1.738) | 0.143 | |||||
CC CT+TT | 190 (31.3) 418 (68.8) | 48 (24.5) 148 (75.5) | 1.326 (0.893–1.969) | 0.162 | 53 (27.5) 140 (72.5) | 1.169 (0.807–1.695) | 0.409 | 56 (23.0) 188 (77.0) | 1.719 (1.173–2.518) | 0.005 | 199 (25.6) 578 (74.4) | 1.258 (0.981–1.614) | 0.071 |
OR, adjusted odds ratio; CI, confidence interval.
*Adjusted for age and sex.
To determine whether the presence of GC-associated SNPs influenced the susceptibility to severe gastric inflammation in the adult Korean population, we examined its association with histological inflammation in a large cohort of healthy controls. In total, 636 controls with current HP infection were genotyped for GC-associated SNPs. The clinical details are shown in Table 3. All SNPs included in this study were in Hardy-Weinberg equilibrium. The mean ages of the male and female patients were 53.57±12.15 and 54.20±11.21 years, respectively. Ex/current smoking and alcohol consumption statuses were more frequent among male than among female patients. A significant difference in the degree of monocyte infiltration of the corpus was noted between the male and female patients; however, the severity of gastric inflammation, such as monocyte infiltration of the antrum, neutrophil infiltration of the antrum and corpus, and AG and IM of the antrum and corpus, did not differ significantly between them, nor did the frequency distributions of the evaluated SNPs.
Table 3 Comparison of Baseline Characteristics between
Characteristic | Male (n=232) | Female (n=404) | p-value |
---|---|---|---|
Age, yr | 53.57±12.15 | 54.20±11.21 | 0.510 |
<40 yr | 31 (13.4) | 36 (8.9) | 0.105 |
40–59 yr | 117 (50.4) | 233 (57.7) | |
≥60 yr | 84 (36.2) | 135 (33.4) | |
Smoking* | |||
Never | 73 (32.3) | 374 (95.9) | <0.001 |
Ex/current | 153 (67.7) | 16 (4.1) | |
Alcohol consumption* | |||
No | 45 (19.9) | 212 (54.6) | <0.001 |
Ex/current | 181 (80.1) | 176 (45.4) | |
Body mass index, kg/m2 | 24.12±2.73 | 22.79±3.08 | <0.001 |
Degree of gastric inflammation* | |||
Neutrophil infiltration | |||
Antrum | |||
No/mild | 82 (35.5) | 143 (35.9) | 0.913 |
Moderate/severe | 149 (64.5) | 255 (64.1) | |
Body | |||
No/mild | 76 (32.9) | 117 (29.1) | 0.318 |
Moderate/severe | 155 (67.1) | 285 (70.9) | |
Monocyte infiltration | |||
Antrum | |||
No/mild | 52 (22.5) | 65 (16.3) | 0.053 |
Moderate/severe | 179 (77.5) | 334 (83.7) | |
Body | |||
No/mild | 61 (26.4) | 76 (18.9) | 0.027 |
Moderate/severe | 170 (73.6) | 326 (81.1) | |
Atrophic gastritis | |||
Antrum | |||
No/mild | 132 (83.0) | 234 (88.0) | 0.153 |
Moderate/severe | 27 (17.0) | 32 (12.0) | |
Body | |||
No/mild | 143 (87.2) | 272 (91.3) | 0.165 |
Moderate/severe | 21 (12.8) | 26 (8.7) | |
Intestinal metaplasia | |||
Antrum | |||
No/mild | 191 (83.0) | 334 (83.5) | 0.882 |
Moderate/severe | 39 (17.0) | 66 (16.5) | |
Body | |||
No/mild | 209 (90.5) | 377 (93.8) | 0.127 |
Moderate/severe | 22 (9.5) | 25 (6.2) | |
Genetic polymorphism* | |||
0.538 | |||
CC | 40 (17.5) | 84 (21.1) | |
CT | 115 (50.4) | 188 (47.2) | |
TT | 73 (32.0) | 126 (31.7) | |
0.330 | |||
L/L† | 196 (84.5) | 354 (87.8) | |
L/2 | 36 (15.5) | 48 (11.9) | |
2/2 | 0 | 1 (0.2) | |
0.345 | |||
TT | 97 (43.5) | 183 (46.7) | |
AT | 102 (45.7) | 157 (40.1) | |
AA | 24 (10.8) | 52 (13.3) | |
0.905 | |||
CC | 109 (48.4) | 193 (49) | |
CT | 87 (38.7) | 155 (39.3) | |
TT | 29 (12.9) | 46 (11.7) | |
0.094 | |||
AA | 200 (91.3) | 327 (85.4) | |
GA | 18 (8.2) | 51 (13.3) | |
GG | 1 (0.5) | 5 (1.3) | |
0.052 | |||
AA | 118 (51.8) | 165 (42.1) | |
CA | 84 (36.8) | 165 (42.1) | |
CC | 26 (11.4) | 62 (5.8) | |
0.438 | |||
CC | 118 (52.4) | 187 (47.6) | |
GC | 86 (38.2) | 160 (40.7) | |
GG | 21 (9.3) | 46 (11.7) | |
0.987 | |||
G/G | 198 (86.5) | 345 (86.3) | |
G/A | 29 (12.7) | 51 (12.8) | |
A/A | 2 (0.9) | 4 (1.0) | |
0.473 | |||
CC | 67 (29.8) | 123 (32.1) | |
CT | 113 (50.2) | 173 (45.2) | |
TT | 45 (20.0) | 87 (22.7) | |
Bacterial virulence factor* | |||
0.721 | |||
Positive | 80 (37.0) | 141 (38.5) | |
Negative | 136 (63.0) | 225 (61.5) | |
0.756 | |||
Positive | 91 (47.4) | 155 (46.0) | |
Negative | 101 (52.6) | 182 (54.0) | |
0.970 | |||
Positive | 175 (91.6) | 310 (91.7) | |
Negative | 16 (8.4) | 28 (8.3) | |
0.982 | |||
Positive | 106 (46.3) | 182 (46.2) | |
Negative | 123 (53.7) | 212 (53.8) | |
0.886 | |||
Positive | 101 (44.1) | 177 (44.7) | |
Negative | 128 (55.9) | 219 (55.3) |
Data are presented as mean±SD or number (%).
*Some data were missing; †L indicates a long variable number tandem repeat consisting of more than two 86-bp repeats. Allele 1 of this polymorphism consists of four repeats and is the commonest allele. Alleles 3 (five repeats), 4 (three repeats), and 5 (six repeats) are very rare. Alleles 3, 4, and 5 grouped with allele 1 are referred to as “L” (long alleles) for analysis purposes.
The degree of gastric inflammation was divided into no/mild and moderate/severe. The genotypes of polymorphism were compared, and an association analysis was performed separately for each sex (Table 4). In males, age,
Table 4 The Association of Clinical, Bacterial and Genetic Factors with Severity of Atrophic Gastritis of the Corpus
Variable | Male | Female | |||||
---|---|---|---|---|---|---|---|
No/mild | Moderate/severe | p | No/mild | Moderate/severe | p-value | ||
Age, yr | 51.94±12.55 | 59.67±8.87 | 0.001 | 53.36±11.15 | 60.19±7.98 | <0.001 | |
Smoking | |||||||
Never | 42 (84.0) | 8 (16.0) | 0.481 | 253 (91.3) | 24 (8.7) | 0.361 | |
Ex/current | 96 (88.1) | 13 (11.9) | 12 (85.7) | 2 (14.3) | |||
Drinking | |||||||
No | 21 (72.4) | 8 (27.6) | 0.028 | 132 (89.2) | 16 (10.8) | 0.261 | |
Yes | 117 (90.0) | 13 (10.0) | 132 (93.0) | 10 (7.0) | |||
Body mass index, kg/m2 | 24.27±2.85 | 23.67±2.82 | 0.373 | 28.12±87.40 | 24.34±4.16 | 0.829 | |
CT+TT | 121 (89.6) | 14 (10.4) | 0.022 | 210 (90.9) | 21 (9.1) | 0.489 | |
CC | 19 (73.1) | 7 (26.9) | 59 (93.7) | 4 (6.3) | |||
2/2 | 0 | 0 | 1 (100) | 0 | 1.000 | ||
L/2+ L/La | 143 (84.2) | 21 (12.8) | 270 (91.2) | 26 (8.8) | |||
AT+TT | 126 (88.1) | 17 (11.9) | 0.943 | 234 (94.0) | 15 (6.0) | 0.001 | |
AA | 14 (87.5) | 2 (12.5) | 33 (78.6) | 9 (21.4) | |||
CC+CT | 128 (88.9) | 16 (11.1) | 0.370 | 240 (93.0) | 18 (7.0) | 0.018 | |
TT | 13 (81.3) | 3 (18.8) | 25 (80.6) | 6 (19.4) | |||
GA+AA | 137 (88.4) | 18 (11.6) | 1.000 | 258 (91.8) | 23 (8.2) | 0.357 | |
GG | 1 (100) | 0 | 4 (80.0) | 1 (20.0) | |||
AA+CA | 128 (87.1) | 19 (12.9) | 0.483 | 225 (91.1) | 22 (8.9) | 0.368 | |
CC | 14 (93.3) | 1 (6.7) | 40 (95.2) | 2 (4.8) | |||
CC+GC | 128 (87.1) | 19 (12.9) | 0.531 | 238 (91.9) | 21 (8.1) | 0.722 | |
GG | 13 (92.9) | 1 (7.1) | 27 (90.0) | 3 (10.0) | |||
GG+GA | 139 (86.9) | 21 (13.1) | 1.000 | 267 (91.8) | 24 (8.2) | 0.235 | |
AA | 1 (100) | 0 | 2 (66.7) | 1 (33.3) | |||
CC+CT | 107 (84.9) | 19 (15.1) | 0.063 | 201 (92.2) | 17 (7.8) | 0.711 | |
TT | 32 (97.0) | 1 (3.0) | 59 (90.8) | 6 (9.2) | |||
Negative | 51 (82.3) | 11 (17.7) | 0.150 | 92 (88.5) | 12 (11.5) | 0.155 | |
Positive | 83 (90.2) | 9 (9.8) | 156 (93.4) | 11 (6.6) | |||
Negative | 64 (97.7) | 9 (12.3) | 0.893 | 111 (93.3) | 8 (6.7) | 0.276 | |
Positive | 61 (88.4) | 8 (11.6) | 127 (89.4) | 15 (10.6) | |||
Negative | 115 (87.8) | 16 (12.2) | 1.000 | 218 (90.8) | 22 (9.2) | 0.704 | |
Positive | 10 (90.9) | 1 (9.1) | 21 (95.5) | 1 (4.5) | |||
Negative | 64 (84.2) | 12 (15.8) | 0.314 | 124 (91.2) | 12 (8.8) | 0.895 | |
Positive | 77 (89.5) | 9 (10.5) | 142 (91.6) | 13 (8.4) | |||
Negative | 64 (81.0) | 15 (19.0) | 0.026 | 117 (90.7) | 12 (9.3) | 0.844 | |
Positive | 77 (92.8) | 6 (7.2) | 148 (91.4) | 14 (8.6) |
Data are presented as mean±SD or number (%).
Table 5 Independent Predictors of Moderate to Severe Atrophic Gastritis and Intestinal Metaplasia of the Corpus at Logistic Regression Analysis
Variable | No. of subjects (%) or mean±SD | HR | 95% CI | p-value |
---|---|---|---|---|
Atrophic gastritis | ||||
Male | ||||
Age, yr | 59.67±8.87 | 1.038 | 0.990–1.088 | 0.126 |
Drinking (no vs yes) | 8 (27.6) vs 13 (10.0) | 0.221 | 0.073–0.666 | 0.007 |
14 (10.4) vs 7 (26.9) | 4.377 | 1.387–13.814 | 0.012 | |
15 (19.0) vs 6 (7.2) | 0.349 | 0.123–0.991 | 0.048 | |
Female | ||||
Age, yr | 60.19±7.98 | 1.061 | 1.014–1.110 | 0.010 |
15 (6.0) vs 9 (21.4) | 3.799 | 1.515–9.523 | 0.004 | |
18 (7.0) vs 6 (19.4) | 1.182 | 0.316–4.426 | 0.804 | |
Intestinal metaplasia | ||||
Male | ||||
Age, yr | 60.73±10.77 | 1.064 | 1.017–1.113 | 0.007 |
7 (5.6) vs 13 (13.4) | 3.128 | 1.149–8.512 | 0.026 | |
6 (5.1) vs 14 (12.7) | 2.334 | 0.837–6.503 | 0.105 | |
Female | ||||
Age, yr | 53.36±10.23 | 1.048 | 1.008–1.090 | 0.019 |
HR, hazard ratio; CI, confidence interval.
The logistic regression analysis considering the variables associated with moderate/severe IM and monocyte and neutrophil infiltration in the univariate analysis as independent variables is shown in Tables 5-7. In males, the
Table 6 Independent Predictors of Moderate to Severe Monocyte Infiltration of the Antrum
Variable | No. of subjects (%) | HR | 95% CI | p-value |
---|---|---|---|---|
Male | ||||
84 (71.8) vs 92 (83.6) | 2.227 | 1.125–4.407 | 0.022 | |
51 (63.8) vs 114 (84.4) | 3.233 | 1.664–6.283 | 0.001 | |
74 (68.8) vs 102 (83.6) | 1.270 | 0.607–2.657 | 0.013 | |
71 (70.3) vs 105 (82.7) | 1.634 | 0.819–3.260 | 0.163 | |
Female | ||||
144 (79.6) vs 181 (87.4) | 1.592 | 0.841–3.015 | 0.153 | |
125 (81.2) vs 162 (90.0) | 1.762 | 0.893–3.487 | 0.021 | |
75 (80.6) vs 128 (95.5) | 2.097 | 1.054–4.197 | 0.037 |
HR, hazard ratio; CI, confidence interval.
Table 7 Independent Predictors of Moderate to Severe Neutrophil Infiltration of the Antrum and Corpus
Variable | No. of subjects (%) or mean±SD | HR | 95% CI | p-value |
---|---|---|---|---|
Antrum | ||||
Male | ||||
37 (46.3) vs 100 (74.1) | 1.918 | 0.957–3.824 | 0.066 | |
50 (54.9) vs 73 (72.3) | 0.886 | 0.423–1.854 | 0.747 | |
54 (50.9) vs 94 (77.0) | 2.209 | 1.105–4.420 | 0.025 | |
49 (48.5) vs 98 (77.2) | 2.719 | 1.407–5.253 | 0.003 | |
Female | ||||
Age, yr | 53.15±11.38 | 0.968 | 0.945–0.991 | 0.007 |
21 (46.7) vs 231 (67.3) | 2.981 | 1.297–6.852 | 0.010 | |
68 (29.1) vs 166 (70.9) | 2.212 | 1.212–4.036 | 0.010 | |
88 (40.6) vs 129 (59.4) | 1.701 | 0.928–3.118 | 0.086 | |
194 (89.0) vs 24 (11.0) | 10.420 | 2.230–48.701 | 0.003 | |
96 (37.8) vs 158 (62.2) | 1.306 | 0.701–2.436 | 0.401 | |
99 (39.1) vs 154 (60.9) | 1.353 | 0.771–2.373 | 0.292 | |
Corpus | ||||
Male | ||||
Age, yr | 54.70±11.93 | 1.025 | 0.998–1.052 | 0.070 |
Smoking (negative vs positive) | 56 (76.7) vs 95 (62.5) | 0.381 | 0.178–0.813 | 0.013 |
13 (46.4) vs 137 (69.9) | 3.516 | 1.388–8.905 | 0.008 | |
43 (53.8) vs 98 (72.6) | 2.138 | 1.080–4.232 | 0.029 | |
60 (56.6) vs 94 (77.0) | 1.866 | 0.956–3.643 | 0.067 | |
Female | ||||
86 (61.0) vs 173 (77.6) | 1.915 | 1.160–3.163 | 0.011 | |
101 (65.2) vs 139 (76.8) | 1.375 | 0.768–2.460 | 0.283 |
HR, hazard ratio; CI, confidence interval.
Cytokine-mediated inflammatory responses to HP infection play key roles in the pathogenesis of GC.23 Genetic polymorphisms related to inflammatory cytokines are often associated with susceptibility to gastric disease owing to differences in the expression levels that interfere with chemotaxis and amplify the immune response. In addition to their risk of developing gastric disease, genetic polymorphisms in cytokines influence the extent of gastric inflammation. Previous studies have showed the significant associations between some SNPs such as
Herein, we reported that the
Another important polymorphism is
Contrary to the results for females, the
The present study reported that male carriers of the
As a complex multifunctional anti-inflammatory cytokine, IL-10 downregulates cytotoxic inflammatory responses and cell-medicated immune responses.42
Studies of the effects of cytokine polymorphisms on HP-induced inflammation and diseases have led to inconsistent results in different cohorts. Small sample sizes, variations in genotyping methods, and variations in minor allelic frequencies across ethnicities lead to a lack of consistency in the results. Possible contributions of these genetic variants to the risk of disease profile would be relatively limited in this population. Therefore, the sample size was extremely small to determine a risk estimate, and possible associations between the SNPs and gastric inflammation or AG might have been missed.
Susceptibility to advanced gastric inflammation is likely determined by the epigenetic interaction of various genes, environmental factors, and bacterial factors, similar to in many other complex diseases.48 In addition, the activation of innate and adaptive immune systems can lead to the recruitment of a variety of inflammatory cells (including dendritic cells, macrophages, neutrophils, mast cells, T cells, and B cells) into the stomach of HP-infected individuals in which T cells are the main coordinator of immunity.49 T helper cells are important type of T cells, which are thought to be differentiated into CD4+ cell types with different functions under the stimulation of different cytokines. However, it is difficult or might be impossible to control for all subtle inter-patient genetic or environmental variability that interact to determine the development or severity of the disease in clinical studies.48 Nevertheless, the strength of our study is that an extensive sampling of Korean healthy controls infected with HP was conducted, and separate analyses were performed according to sex with adjusting for age, environmental factors such as smoking and alcohol consumption, and HP virulence factors. To the best of our knowledge, this is the first study reporting the association between and SNPs considering HP virulence factor. Our sample size is large enough to detect SNPs with low frequency. In addition, the degree of inflammation was evaluated from several aspects such as infiltration of neutrophil and monocyte, AG and IM.
This study also has some limitations. First, the expression levels of cytokine in gastric mucosa were not evaluated. The expression levels of gastric mucosal cytokine might be helpful to determine the actual differences in cytokine production. Second, the effects of the combined SNPs on gastric inflammation were not evaluated. Third, we tried to adjust for various confounding factors in the statistical analysis. However there may have been residual confounders. Fourth, we have not investigated the function of T helper cells. Finally, the crosstalk between function of T helper cells, virulence factors, and cytokine production could not be explained according to sex difference.
In conclusion, the current study highlighted that the
Research data can be shared if it is specifically requested to the corresponding author.
This work was supported by grant no 02-2020-041 from the Seoul National University Bundang Hospital Research fund. This research was supported by the Korea Center for Gendered Innovations for Science and Technology Research (GISTeR), through the Center for Women in Science, Engineering and Technology (WISET) funded by the Ministry of Science and ICT (No. WISET-202203GI01).
No potential conflict of interest relevant to this article was reported.
Study concept and design: N.K. Data acquisition: N.K. Data analysis and interpretation: H.J.K. Drafting of the manuscript: H.J.K. Critical revision of the manuscript for important intellectual content: N.K., Statistical analysis: H.J.K. Obtained funding: N.K. Administrative, technical, or material support; study supervision: J.Y.J., S.K., J.L., H.J.O. Approval of final manuscript: all authors.
Supplementary materials can be accessed at https://doi.org/10.5009/gnl230359.
Gut and Liver
Published online February 23, 2024
Copyright © Gut and Liver.
Hee Jin Kim1 , Nayoung Kim2,3,4 , Jae Young Jang2,3,4 , Sihyun Kim2 , Jongchan Lee2 , Hyeon Jeong Oh5
1Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon, Korea; 2Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea; Departments of 3Internal Medicine and 4Medical Device Development, Seoul National University College of Medicine, Seoul, Korea; 5Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Korea
Correspondence to:Nayoung Kim
ORCID https://orcid.org/0000-0002-9397-0406
E-mail nakim49@snu.ac.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background/Aims: The relationship between genetic polymorphisms and gastric inflammation remains unclear. This study aimed to evaluate the impact of genetic polymorphisms on Helicobacter pylori (HP)-associated gastritis according to sex.
Methods: Two hundred thirty-two male and 404 female subjects with current HP infection were prospectively enrolled. The genotyping of IL-1B-511 C/T, IL-1RN variable number of tandem repeats, IL-6-572 G/C, IL-8-251 A/T, IL-8-781 C/T, IL-10-1082 G/A, IL-10-592 C/A, TNF-A-308 G/A, and transforming growth factor (TGF)-B-509 C/T, was determined by polymerase chain reaction-restriction fragment length polymorphism. The degree of monocyte or neutrophil infiltration, atrophic gastritis, and intestinal metaplasia was evaluated using the updated Sydney system.
Results: Among the male subjects, moderate/severe atrophic gastritis of the corpus was higher in IL-1B-511 CC carriers than in CT and TT carriers independent of age, alcohol consumption, and HP virulence factors (26.9% vs 10.4%; adjusted hazard ratio [HR], 4.377; 95% confidence interval, 1.387 to 13.814). In females, IL-8-251 AA carriers were independently and significantly associated with moderate/severe atrophic gastritis of the corpus compared with that in AT and TT carriers (21.4% vs 6.0%, adjusted HR=3.799). In males, the IL-8-251 TT genotype was associated with moderate/severe intestinal metaplasia of the corpus compared with the AT and AA genotypes (13.4% vs 5.6%, adjusted HR=3.128), while the IL-10-592 CA and CC genotypes were associated with moderate/severe monocyte infiltration of the antrum compared with AA genotype (83.6% vs 71.8%, adjusted HR=2.227).
Conclusions: Genetic polymorphisms in cytokines play different roles in HP-associated gastritis according to sex.
Keywords: Helicobacter pylori, Polymorphism, genetic, Sex, Gastritis, Atrophic gastritis
HP-associated inflammation undergoes complex interaction between the host immune responses and bacterial-specific virulence factors. Specific virulence factors of HP such as cytotoxin-associated gene A (
It is generally understood that the age-adjusted incidence rates of GC are 2- to 3-fold higher in males than in females in most populations11 of patients aged >40 years.12 And there have been reports that AG and IM tend to be more severe in males than females.13,14 In a Japanese case-control study, AG and IM scores of the HP-infected corpus appeared more severe in males than in females, especially among older patients, although no difference in IL-8 messenger RNA levels was detected between sexes.14 In a Korean nationwide multicenter prospective study, the prevalence of endoscopic AG and IM in males diagnosed were significantly higher than that in females, and the most important risk factor for AG was age, followed by sex.13 Our research team previously reported that the greatest risk factors for both AG and IM diagnosed by histological examination were HP infection and age (61 years or older), and bacterial virulence factors including
Although most studies on the effects of cytokine genetic polymorphisms in gastroduodenal diseases focused on the risk of associated disease development, there are still limited studies on the association between inflammation severity and SNPs. Considering our previous research, we hypothesized that genetic polymorphism responsible for cytokine production could be sex-specific and it might influence the degree of gastric inflammation. Based on this background, an association study for SNPs, including
We consecutively enrolled 636 individuals registered at Seoul National University Bundang Hospital between 2013 and 2022. All of them were Koreans and had undergone esophagogastroduodenoscopy (EGD) because of symptoms such as epigastric soreness or indigestion or a screening program for GC and/or gastric precancerous lesions. Participants were enrolled as controls if EGD revealed no significant gastroduodenal diseases, such as gastric ulcer (GU), duodenal ulcer (DU), GC, gastric adenoma, gastric mucosa-associated lymphoid tissue lymphoma, or esophageal cancer despite current HP infection. GU, DU, gastric adenoma, and GC had been diagnosed by EGD, and gastric adenoma and GC had been confirmed histologically. All participants who were older than 18 years provided informed consent to participate, and the ethical approval was given by the Ethics Committee of Seoul National University Bundang Hospital (number: B-0602-030-001).
In all participants, 10 gastric biopsy specimens were obtained during EGD for histological examination,17 and a
The extraction of genomic DNA was performed from tissue of gastric antrum.20 The homogenization of the specimens was done using proteinase K solution with sterile micropestle and incubation was done for 3 hours at 52°C.20 The isolation of DNA was performed from the homogenates after phenol/chloroform extraction and ethanol precipitation.
To determine the polymorphisms of
Analyses of
Statistical analyses were conducted using the chi-square test or Fisher exact test, and Student t-test as appropriate. A goodness-of-fit chi-square test was used for Hardy-Weinberg equilibrium with one degree of freedom. The association between the SNPs and the presence of moderate/severe gastric inflammation was evaluated using a logistic regression analysis adjusted for confounders. A multivariate logistic regression analysis was done to evaluate factors associated with moderate/severe gastric inflammation. Age and all significant variables in the univariate analysis were included in the full multivariate analysis. All statistical analyses were performed using SPSS for Windows (version 23.0; SPSS Inc., Armonk, NY, USA). p-values of less than 0.05 were regarded as statistically significant.
Table 1 shows the general characteristics of study population. The study population includes 636 controls, 210 patients with GU, 202 patients with DU, 246 patients with gastric adenoma, and 795 patients with GC. The risk of development of GU, DU, gastric adenoma, and GC was analyzed adjusted by age and sex (Table 2).
Table 1 . Clinical Characteristics of
Diagnosis | No. | Age, yr | Male sex |
---|---|---|---|
Control | 636 | 53.97±11.55 | 232 (36.5) |
Gastric ulcer | 210 | 58.72±13.57 | 158 (75.2) |
Duodenal ulcer | 202 | 51.59±14.85 | 131 (64.9) |
Gastric adenoma | 246 | 62.82±9.63 | 166 (67.5) |
Gastric cancer | 795 | 60.09±26.60 | 523 (65.8) |
Data are presented as mean±SD or number (%)..
Table 2 . Genotype Frequencies and Risk of Development of Gastric Cancer in
Genetic polymorphism | Genotypes | Control | Gastric ulcer | Duodenal ulcer | Gastric adenoma | Gastric cancer | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. (%) | No. (%) | OR (95% CI)* | p-value | No. (%) | OR (95% CI)* | p-value | No. (%) | OR (95% CI)* | p- value | No. (%) | OR (95% CI)* | p- value | ||||||
TT CT+CC | 199 (31.7) 427 (68.3) | 71 (34.0) 138 (66.0) | 0.868 (0.605–1.246) | 0.443 | 47 (23.3) 155 (76.7) | 1.595 (1.091–2.332) | 0.016 | 71 (29.1) 173 (70.9) | 1.111 (0.774–1.594) | 0.568 | 198 (25.1) 592 (74.9) | 1.391 (1.086–1.783) | 0.009 | |||||
L/L L/2+2/2 | 550 (86.6) 85 (13.4) | 176 (83.8) 34 (16.2) | 1.131 (0.707–1.811) | 0.607 | 167 (83.1) 34 (16.9) | 1.307 (0.834–2.050) | 0.243 | 217 (88.9) 27 (11.1) | 0.746 (0.450–1.238) | 0.257 | 700 (88.3) 93 (11.7) | 0.851 (0.608–1.191) | 0.346 | |||||
TT AT+AA | 280 (45.5) 335 (54.5) | 76 (37.8) 125 (62.2) | 1.263 (0.886–1.801) | 0.197 | 69 (35.6) 125 (64.4) | 1.471 (1.042–2.078) | 0.028 | 92 (39.1) 143 (60.9) | 1.186 (0.843–1.669) | 0.328 | 328 (41.6) 461 (58.4) | 1.197 (0.954–1.502) | 0.121 | |||||
CC+CT TT | 544 (87.9) 75 (12.1) | 175 (87.5) 25 (12.5) | 0.964 (0.568–1.635) | 0.891 | 169 (87.6) 24 (12.4) | 1.056 (0.634–1.759) | 0.833 | 208 (89.7) 24 (10.3) | 0.744 (0.434–1.275) | 0.282 | 683 (87.3) 99 (12.7) | 1.009 (0.718–1.417) | 0.959 | |||||
GG+GC GG | 551 (89.2) 67 (10.8) | 198 (94.9) 10 (5.1) | 0.440 (0.211–0.917) | 0.028 | 189 (97.4) 5 (2.6) | 0.225 (0.088–0.574) | 0.002 | 222 (95.3) 11 (4.7) | 0.456 (0.220–0.944) | 0.034 | 737 (94.4) 44 (5.6) | 0.538 (0.354–0.818) | 0.004 | |||||
GA+AA GG | 596 (99.0) 6 (1.0) | 197 (99.0) 2 (1.0) | 1.043 (0.167–6.538) | 0.964 | 187 (98.4) 3 (1.6) | 1.782 (0.415–7.645) | 0.437 | 233 (99.6) 1 (0.4) | 0.511 (0.053–4.978) | 0.564 | 769 (99.2) 6 (0.8) | 0.976 (0.289–3.296) | 0.968 | |||||
AA+CA CC | 532 (85.8) 88 (14.2) | 185 (92.0) 16 (8.0) | 1.038 (1.023–1.053) | 0.055 | 173 (89.2) 21 (10.8) | 0.829 (0.492–1.398) | 0.482 | 210 (89.7) 24 (10.3) | 0.611 (0.359–1.041) | 0.070 | 690 (88.1) 93 (11.9) | 0.809 (0.579–1.130) | 0.214 | |||||
GG GA+AA | 543 (86.3) 86 (13.7) | 170 (82.1) 37 (17.9) | 1.543 (0.972–2.448) | 0.066 | 169 (83.7) 33 (16.3) | 1.153 (0.732–1.816) | 0.540 | 195 (80.2) 48 (19.8) | 1.591 (1.026–2.467) | 0.038 | 661 (84.1) 125 (15.9) | 1.266 (0.923–1.738) | 0.143 | |||||
CC CT+TT | 190 (31.3) 418 (68.8) | 48 (24.5) 148 (75.5) | 1.326 (0.893–1.969) | 0.162 | 53 (27.5) 140 (72.5) | 1.169 (0.807–1.695) | 0.409 | 56 (23.0) 188 (77.0) | 1.719 (1.173–2.518) | 0.005 | 199 (25.6) 578 (74.4) | 1.258 (0.981–1.614) | 0.071 |
OR, adjusted odds ratio; CI, confidence interval..
*Adjusted for age and sex..
To determine whether the presence of GC-associated SNPs influenced the susceptibility to severe gastric inflammation in the adult Korean population, we examined its association with histological inflammation in a large cohort of healthy controls. In total, 636 controls with current HP infection were genotyped for GC-associated SNPs. The clinical details are shown in Table 3. All SNPs included in this study were in Hardy-Weinberg equilibrium. The mean ages of the male and female patients were 53.57±12.15 and 54.20±11.21 years, respectively. Ex/current smoking and alcohol consumption statuses were more frequent among male than among female patients. A significant difference in the degree of monocyte infiltration of the corpus was noted between the male and female patients; however, the severity of gastric inflammation, such as monocyte infiltration of the antrum, neutrophil infiltration of the antrum and corpus, and AG and IM of the antrum and corpus, did not differ significantly between them, nor did the frequency distributions of the evaluated SNPs.
Table 3 . Comparison of Baseline Characteristics between
Characteristic | Male (n=232) | Female (n=404) | p-value |
---|---|---|---|
Age, yr | 53.57±12.15 | 54.20±11.21 | 0.510 |
<40 yr | 31 (13.4) | 36 (8.9) | 0.105 |
40–59 yr | 117 (50.4) | 233 (57.7) | |
≥60 yr | 84 (36.2) | 135 (33.4) | |
Smoking* | |||
Never | 73 (32.3) | 374 (95.9) | <0.001 |
Ex/current | 153 (67.7) | 16 (4.1) | |
Alcohol consumption* | |||
No | 45 (19.9) | 212 (54.6) | <0.001 |
Ex/current | 181 (80.1) | 176 (45.4) | |
Body mass index, kg/m2 | 24.12±2.73 | 22.79±3.08 | <0.001 |
Degree of gastric inflammation* | |||
Neutrophil infiltration | |||
Antrum | |||
No/mild | 82 (35.5) | 143 (35.9) | 0.913 |
Moderate/severe | 149 (64.5) | 255 (64.1) | |
Body | |||
No/mild | 76 (32.9) | 117 (29.1) | 0.318 |
Moderate/severe | 155 (67.1) | 285 (70.9) | |
Monocyte infiltration | |||
Antrum | |||
No/mild | 52 (22.5) | 65 (16.3) | 0.053 |
Moderate/severe | 179 (77.5) | 334 (83.7) | |
Body | |||
No/mild | 61 (26.4) | 76 (18.9) | 0.027 |
Moderate/severe | 170 (73.6) | 326 (81.1) | |
Atrophic gastritis | |||
Antrum | |||
No/mild | 132 (83.0) | 234 (88.0) | 0.153 |
Moderate/severe | 27 (17.0) | 32 (12.0) | |
Body | |||
No/mild | 143 (87.2) | 272 (91.3) | 0.165 |
Moderate/severe | 21 (12.8) | 26 (8.7) | |
Intestinal metaplasia | |||
Antrum | |||
No/mild | 191 (83.0) | 334 (83.5) | 0.882 |
Moderate/severe | 39 (17.0) | 66 (16.5) | |
Body | |||
No/mild | 209 (90.5) | 377 (93.8) | 0.127 |
Moderate/severe | 22 (9.5) | 25 (6.2) | |
Genetic polymorphism* | |||
0.538 | |||
CC | 40 (17.5) | 84 (21.1) | |
CT | 115 (50.4) | 188 (47.2) | |
TT | 73 (32.0) | 126 (31.7) | |
0.330 | |||
L/L† | 196 (84.5) | 354 (87.8) | |
L/2 | 36 (15.5) | 48 (11.9) | |
2/2 | 0 | 1 (0.2) | |
0.345 | |||
TT | 97 (43.5) | 183 (46.7) | |
AT | 102 (45.7) | 157 (40.1) | |
AA | 24 (10.8) | 52 (13.3) | |
0.905 | |||
CC | 109 (48.4) | 193 (49) | |
CT | 87 (38.7) | 155 (39.3) | |
TT | 29 (12.9) | 46 (11.7) | |
0.094 | |||
AA | 200 (91.3) | 327 (85.4) | |
GA | 18 (8.2) | 51 (13.3) | |
GG | 1 (0.5) | 5 (1.3) | |
0.052 | |||
AA | 118 (51.8) | 165 (42.1) | |
CA | 84 (36.8) | 165 (42.1) | |
CC | 26 (11.4) | 62 (5.8) | |
0.438 | |||
CC | 118 (52.4) | 187 (47.6) | |
GC | 86 (38.2) | 160 (40.7) | |
GG | 21 (9.3) | 46 (11.7) | |
0.987 | |||
G/G | 198 (86.5) | 345 (86.3) | |
G/A | 29 (12.7) | 51 (12.8) | |
A/A | 2 (0.9) | 4 (1.0) | |
0.473 | |||
CC | 67 (29.8) | 123 (32.1) | |
CT | 113 (50.2) | 173 (45.2) | |
TT | 45 (20.0) | 87 (22.7) | |
Bacterial virulence factor* | |||
0.721 | |||
Positive | 80 (37.0) | 141 (38.5) | |
Negative | 136 (63.0) | 225 (61.5) | |
0.756 | |||
Positive | 91 (47.4) | 155 (46.0) | |
Negative | 101 (52.6) | 182 (54.0) | |
0.970 | |||
Positive | 175 (91.6) | 310 (91.7) | |
Negative | 16 (8.4) | 28 (8.3) | |
0.982 | |||
Positive | 106 (46.3) | 182 (46.2) | |
Negative | 123 (53.7) | 212 (53.8) | |
0.886 | |||
Positive | 101 (44.1) | 177 (44.7) | |
Negative | 128 (55.9) | 219 (55.3) |
Data are presented as mean±SD or number (%)..
*Some data were missing; †L indicates a long variable number tandem repeat consisting of more than two 86-bp repeats. Allele 1 of this polymorphism consists of four repeats and is the commonest allele. Alleles 3 (five repeats), 4 (three repeats), and 5 (six repeats) are very rare. Alleles 3, 4, and 5 grouped with allele 1 are referred to as “L” (long alleles) for analysis purposes..
The degree of gastric inflammation was divided into no/mild and moderate/severe. The genotypes of polymorphism were compared, and an association analysis was performed separately for each sex (Table 4). In males, age,
Table 4 . The Association of Clinical, Bacterial and Genetic Factors with Severity of Atrophic Gastritis of the Corpus.
Variable | Male | Female | |||||
---|---|---|---|---|---|---|---|
No/mild | Moderate/severe | p | No/mild | Moderate/severe | p-value | ||
Age, yr | 51.94±12.55 | 59.67±8.87 | 0.001 | 53.36±11.15 | 60.19±7.98 | <0.001 | |
Smoking | |||||||
Never | 42 (84.0) | 8 (16.0) | 0.481 | 253 (91.3) | 24 (8.7) | 0.361 | |
Ex/current | 96 (88.1) | 13 (11.9) | 12 (85.7) | 2 (14.3) | |||
Drinking | |||||||
No | 21 (72.4) | 8 (27.6) | 0.028 | 132 (89.2) | 16 (10.8) | 0.261 | |
Yes | 117 (90.0) | 13 (10.0) | 132 (93.0) | 10 (7.0) | |||
Body mass index, kg/m2 | 24.27±2.85 | 23.67±2.82 | 0.373 | 28.12±87.40 | 24.34±4.16 | 0.829 | |
CT+TT | 121 (89.6) | 14 (10.4) | 0.022 | 210 (90.9) | 21 (9.1) | 0.489 | |
CC | 19 (73.1) | 7 (26.9) | 59 (93.7) | 4 (6.3) | |||
2/2 | 0 | 0 | 1 (100) | 0 | 1.000 | ||
L/2+ L/La | 143 (84.2) | 21 (12.8) | 270 (91.2) | 26 (8.8) | |||
AT+TT | 126 (88.1) | 17 (11.9) | 0.943 | 234 (94.0) | 15 (6.0) | 0.001 | |
AA | 14 (87.5) | 2 (12.5) | 33 (78.6) | 9 (21.4) | |||
CC+CT | 128 (88.9) | 16 (11.1) | 0.370 | 240 (93.0) | 18 (7.0) | 0.018 | |
TT | 13 (81.3) | 3 (18.8) | 25 (80.6) | 6 (19.4) | |||
GA+AA | 137 (88.4) | 18 (11.6) | 1.000 | 258 (91.8) | 23 (8.2) | 0.357 | |
GG | 1 (100) | 0 | 4 (80.0) | 1 (20.0) | |||
AA+CA | 128 (87.1) | 19 (12.9) | 0.483 | 225 (91.1) | 22 (8.9) | 0.368 | |
CC | 14 (93.3) | 1 (6.7) | 40 (95.2) | 2 (4.8) | |||
CC+GC | 128 (87.1) | 19 (12.9) | 0.531 | 238 (91.9) | 21 (8.1) | 0.722 | |
GG | 13 (92.9) | 1 (7.1) | 27 (90.0) | 3 (10.0) | |||
GG+GA | 139 (86.9) | 21 (13.1) | 1.000 | 267 (91.8) | 24 (8.2) | 0.235 | |
AA | 1 (100) | 0 | 2 (66.7) | 1 (33.3) | |||
CC+CT | 107 (84.9) | 19 (15.1) | 0.063 | 201 (92.2) | 17 (7.8) | 0.711 | |
TT | 32 (97.0) | 1 (3.0) | 59 (90.8) | 6 (9.2) | |||
Negative | 51 (82.3) | 11 (17.7) | 0.150 | 92 (88.5) | 12 (11.5) | 0.155 | |
Positive | 83 (90.2) | 9 (9.8) | 156 (93.4) | 11 (6.6) | |||
Negative | 64 (97.7) | 9 (12.3) | 0.893 | 111 (93.3) | 8 (6.7) | 0.276 | |
Positive | 61 (88.4) | 8 (11.6) | 127 (89.4) | 15 (10.6) | |||
Negative | 115 (87.8) | 16 (12.2) | 1.000 | 218 (90.8) | 22 (9.2) | 0.704 | |
Positive | 10 (90.9) | 1 (9.1) | 21 (95.5) | 1 (4.5) | |||
Negative | 64 (84.2) | 12 (15.8) | 0.314 | 124 (91.2) | 12 (8.8) | 0.895 | |
Positive | 77 (89.5) | 9 (10.5) | 142 (91.6) | 13 (8.4) | |||
Negative | 64 (81.0) | 15 (19.0) | 0.026 | 117 (90.7) | 12 (9.3) | 0.844 | |
Positive | 77 (92.8) | 6 (7.2) | 148 (91.4) | 14 (8.6) |
Data are presented as mean±SD or number (%)..
Table 5 . Independent Predictors of Moderate to Severe Atrophic Gastritis and Intestinal Metaplasia of the Corpus at Logistic Regression Analysis.
Variable | No. of subjects (%) or mean±SD | HR | 95% CI | p-value |
---|---|---|---|---|
Atrophic gastritis | ||||
Male | ||||
Age, yr | 59.67±8.87 | 1.038 | 0.990–1.088 | 0.126 |
Drinking (no vs yes) | 8 (27.6) vs 13 (10.0) | 0.221 | 0.073–0.666 | 0.007 |
14 (10.4) vs 7 (26.9) | 4.377 | 1.387–13.814 | 0.012 | |
15 (19.0) vs 6 (7.2) | 0.349 | 0.123–0.991 | 0.048 | |
Female | ||||
Age, yr | 60.19±7.98 | 1.061 | 1.014–1.110 | 0.010 |
15 (6.0) vs 9 (21.4) | 3.799 | 1.515–9.523 | 0.004 | |
18 (7.0) vs 6 (19.4) | 1.182 | 0.316–4.426 | 0.804 | |
Intestinal metaplasia | ||||
Male | ||||
Age, yr | 60.73±10.77 | 1.064 | 1.017–1.113 | 0.007 |
7 (5.6) vs 13 (13.4) | 3.128 | 1.149–8.512 | 0.026 | |
6 (5.1) vs 14 (12.7) | 2.334 | 0.837–6.503 | 0.105 | |
Female | ||||
Age, yr | 53.36±10.23 | 1.048 | 1.008–1.090 | 0.019 |
HR, hazard ratio; CI, confidence interval..
The logistic regression analysis considering the variables associated with moderate/severe IM and monocyte and neutrophil infiltration in the univariate analysis as independent variables is shown in Tables 5-7. In males, the
Table 6 . Independent Predictors of Moderate to Severe Monocyte Infiltration of the Antrum.
Variable | No. of subjects (%) | HR | 95% CI | p-value |
---|---|---|---|---|
Male | ||||
84 (71.8) vs 92 (83.6) | 2.227 | 1.125–4.407 | 0.022 | |
51 (63.8) vs 114 (84.4) | 3.233 | 1.664–6.283 | 0.001 | |
74 (68.8) vs 102 (83.6) | 1.270 | 0.607–2.657 | 0.013 | |
71 (70.3) vs 105 (82.7) | 1.634 | 0.819–3.260 | 0.163 | |
Female | ||||
144 (79.6) vs 181 (87.4) | 1.592 | 0.841–3.015 | 0.153 | |
125 (81.2) vs 162 (90.0) | 1.762 | 0.893–3.487 | 0.021 | |
75 (80.6) vs 128 (95.5) | 2.097 | 1.054–4.197 | 0.037 |
HR, hazard ratio; CI, confidence interval..
Table 7 . Independent Predictors of Moderate to Severe Neutrophil Infiltration of the Antrum and Corpus.
Variable | No. of subjects (%) or mean±SD | HR | 95% CI | p-value |
---|---|---|---|---|
Antrum | ||||
Male | ||||
37 (46.3) vs 100 (74.1) | 1.918 | 0.957–3.824 | 0.066 | |
50 (54.9) vs 73 (72.3) | 0.886 | 0.423–1.854 | 0.747 | |
54 (50.9) vs 94 (77.0) | 2.209 | 1.105–4.420 | 0.025 | |
49 (48.5) vs 98 (77.2) | 2.719 | 1.407–5.253 | 0.003 | |
Female | ||||
Age, yr | 53.15±11.38 | 0.968 | 0.945–0.991 | 0.007 |
21 (46.7) vs 231 (67.3) | 2.981 | 1.297–6.852 | 0.010 | |
68 (29.1) vs 166 (70.9) | 2.212 | 1.212–4.036 | 0.010 | |
88 (40.6) vs 129 (59.4) | 1.701 | 0.928–3.118 | 0.086 | |
194 (89.0) vs 24 (11.0) | 10.420 | 2.230–48.701 | 0.003 | |
96 (37.8) vs 158 (62.2) | 1.306 | 0.701–2.436 | 0.401 | |
99 (39.1) vs 154 (60.9) | 1.353 | 0.771–2.373 | 0.292 | |
Corpus | ||||
Male | ||||
Age, yr | 54.70±11.93 | 1.025 | 0.998–1.052 | 0.070 |
Smoking (negative vs positive) | 56 (76.7) vs 95 (62.5) | 0.381 | 0.178–0.813 | 0.013 |
13 (46.4) vs 137 (69.9) | 3.516 | 1.388–8.905 | 0.008 | |
43 (53.8) vs 98 (72.6) | 2.138 | 1.080–4.232 | 0.029 | |
60 (56.6) vs 94 (77.0) | 1.866 | 0.956–3.643 | 0.067 | |
Female | ||||
86 (61.0) vs 173 (77.6) | 1.915 | 1.160–3.163 | 0.011 | |
101 (65.2) vs 139 (76.8) | 1.375 | 0.768–2.460 | 0.283 |
HR, hazard ratio; CI, confidence interval..
Cytokine-mediated inflammatory responses to HP infection play key roles in the pathogenesis of GC.23 Genetic polymorphisms related to inflammatory cytokines are often associated with susceptibility to gastric disease owing to differences in the expression levels that interfere with chemotaxis and amplify the immune response. In addition to their risk of developing gastric disease, genetic polymorphisms in cytokines influence the extent of gastric inflammation. Previous studies have showed the significant associations between some SNPs such as
Herein, we reported that the
Another important polymorphism is
Contrary to the results for females, the
The present study reported that male carriers of the
As a complex multifunctional anti-inflammatory cytokine, IL-10 downregulates cytotoxic inflammatory responses and cell-medicated immune responses.42
Studies of the effects of cytokine polymorphisms on HP-induced inflammation and diseases have led to inconsistent results in different cohorts. Small sample sizes, variations in genotyping methods, and variations in minor allelic frequencies across ethnicities lead to a lack of consistency in the results. Possible contributions of these genetic variants to the risk of disease profile would be relatively limited in this population. Therefore, the sample size was extremely small to determine a risk estimate, and possible associations between the SNPs and gastric inflammation or AG might have been missed.
Susceptibility to advanced gastric inflammation is likely determined by the epigenetic interaction of various genes, environmental factors, and bacterial factors, similar to in many other complex diseases.48 In addition, the activation of innate and adaptive immune systems can lead to the recruitment of a variety of inflammatory cells (including dendritic cells, macrophages, neutrophils, mast cells, T cells, and B cells) into the stomach of HP-infected individuals in which T cells are the main coordinator of immunity.49 T helper cells are important type of T cells, which are thought to be differentiated into CD4+ cell types with different functions under the stimulation of different cytokines. However, it is difficult or might be impossible to control for all subtle inter-patient genetic or environmental variability that interact to determine the development or severity of the disease in clinical studies.48 Nevertheless, the strength of our study is that an extensive sampling of Korean healthy controls infected with HP was conducted, and separate analyses were performed according to sex with adjusting for age, environmental factors such as smoking and alcohol consumption, and HP virulence factors. To the best of our knowledge, this is the first study reporting the association between and SNPs considering HP virulence factor. Our sample size is large enough to detect SNPs with low frequency. In addition, the degree of inflammation was evaluated from several aspects such as infiltration of neutrophil and monocyte, AG and IM.
This study also has some limitations. First, the expression levels of cytokine in gastric mucosa were not evaluated. The expression levels of gastric mucosal cytokine might be helpful to determine the actual differences in cytokine production. Second, the effects of the combined SNPs on gastric inflammation were not evaluated. Third, we tried to adjust for various confounding factors in the statistical analysis. However there may have been residual confounders. Fourth, we have not investigated the function of T helper cells. Finally, the crosstalk between function of T helper cells, virulence factors, and cytokine production could not be explained according to sex difference.
In conclusion, the current study highlighted that the
Research data can be shared if it is specifically requested to the corresponding author.
This work was supported by grant no 02-2020-041 from the Seoul National University Bundang Hospital Research fund. This research was supported by the Korea Center for Gendered Innovations for Science and Technology Research (GISTeR), through the Center for Women in Science, Engineering and Technology (WISET) funded by the Ministry of Science and ICT (No. WISET-202203GI01).
No potential conflict of interest relevant to this article was reported.
Study concept and design: N.K. Data acquisition: N.K. Data analysis and interpretation: H.J.K. Drafting of the manuscript: H.J.K. Critical revision of the manuscript for important intellectual content: N.K., Statistical analysis: H.J.K. Obtained funding: N.K. Administrative, technical, or material support; study supervision: J.Y.J., S.K., J.L., H.J.O. Approval of final manuscript: all authors.
Supplementary materials can be accessed at https://doi.org/10.5009/gnl230359.
Table 1 Clinical Characteristics of
Diagnosis | No. | Age, yr | Male sex |
---|---|---|---|
Control | 636 | 53.97±11.55 | 232 (36.5) |
Gastric ulcer | 210 | 58.72±13.57 | 158 (75.2) |
Duodenal ulcer | 202 | 51.59±14.85 | 131 (64.9) |
Gastric adenoma | 246 | 62.82±9.63 | 166 (67.5) |
Gastric cancer | 795 | 60.09±26.60 | 523 (65.8) |
Data are presented as mean±SD or number (%).
Table 2 Genotype Frequencies and Risk of Development of Gastric Cancer in
Genetic polymorphism | Genotypes | Control | Gastric ulcer | Duodenal ulcer | Gastric adenoma | Gastric cancer | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. (%) | No. (%) | OR (95% CI)* | p-value | No. (%) | OR (95% CI)* | p-value | No. (%) | OR (95% CI)* | p- value | No. (%) | OR (95% CI)* | p- value | ||||||
TT CT+CC | 199 (31.7) 427 (68.3) | 71 (34.0) 138 (66.0) | 0.868 (0.605–1.246) | 0.443 | 47 (23.3) 155 (76.7) | 1.595 (1.091–2.332) | 0.016 | 71 (29.1) 173 (70.9) | 1.111 (0.774–1.594) | 0.568 | 198 (25.1) 592 (74.9) | 1.391 (1.086–1.783) | 0.009 | |||||
L/L L/2+2/2 | 550 (86.6) 85 (13.4) | 176 (83.8) 34 (16.2) | 1.131 (0.707–1.811) | 0.607 | 167 (83.1) 34 (16.9) | 1.307 (0.834–2.050) | 0.243 | 217 (88.9) 27 (11.1) | 0.746 (0.450–1.238) | 0.257 | 700 (88.3) 93 (11.7) | 0.851 (0.608–1.191) | 0.346 | |||||
TT AT+AA | 280 (45.5) 335 (54.5) | 76 (37.8) 125 (62.2) | 1.263 (0.886–1.801) | 0.197 | 69 (35.6) 125 (64.4) | 1.471 (1.042–2.078) | 0.028 | 92 (39.1) 143 (60.9) | 1.186 (0.843–1.669) | 0.328 | 328 (41.6) 461 (58.4) | 1.197 (0.954–1.502) | 0.121 | |||||
CC+CT TT | 544 (87.9) 75 (12.1) | 175 (87.5) 25 (12.5) | 0.964 (0.568–1.635) | 0.891 | 169 (87.6) 24 (12.4) | 1.056 (0.634–1.759) | 0.833 | 208 (89.7) 24 (10.3) | 0.744 (0.434–1.275) | 0.282 | 683 (87.3) 99 (12.7) | 1.009 (0.718–1.417) | 0.959 | |||||
GG+GC GG | 551 (89.2) 67 (10.8) | 198 (94.9) 10 (5.1) | 0.440 (0.211–0.917) | 0.028 | 189 (97.4) 5 (2.6) | 0.225 (0.088–0.574) | 0.002 | 222 (95.3) 11 (4.7) | 0.456 (0.220–0.944) | 0.034 | 737 (94.4) 44 (5.6) | 0.538 (0.354–0.818) | 0.004 | |||||
GA+AA GG | 596 (99.0) 6 (1.0) | 197 (99.0) 2 (1.0) | 1.043 (0.167–6.538) | 0.964 | 187 (98.4) 3 (1.6) | 1.782 (0.415–7.645) | 0.437 | 233 (99.6) 1 (0.4) | 0.511 (0.053–4.978) | 0.564 | 769 (99.2) 6 (0.8) | 0.976 (0.289–3.296) | 0.968 | |||||
AA+CA CC | 532 (85.8) 88 (14.2) | 185 (92.0) 16 (8.0) | 1.038 (1.023–1.053) | 0.055 | 173 (89.2) 21 (10.8) | 0.829 (0.492–1.398) | 0.482 | 210 (89.7) 24 (10.3) | 0.611 (0.359–1.041) | 0.070 | 690 (88.1) 93 (11.9) | 0.809 (0.579–1.130) | 0.214 | |||||
GG GA+AA | 543 (86.3) 86 (13.7) | 170 (82.1) 37 (17.9) | 1.543 (0.972–2.448) | 0.066 | 169 (83.7) 33 (16.3) | 1.153 (0.732–1.816) | 0.540 | 195 (80.2) 48 (19.8) | 1.591 (1.026–2.467) | 0.038 | 661 (84.1) 125 (15.9) | 1.266 (0.923–1.738) | 0.143 | |||||
CC CT+TT | 190 (31.3) 418 (68.8) | 48 (24.5) 148 (75.5) | 1.326 (0.893–1.969) | 0.162 | 53 (27.5) 140 (72.5) | 1.169 (0.807–1.695) | 0.409 | 56 (23.0) 188 (77.0) | 1.719 (1.173–2.518) | 0.005 | 199 (25.6) 578 (74.4) | 1.258 (0.981–1.614) | 0.071 |
OR, adjusted odds ratio; CI, confidence interval.
*Adjusted for age and sex.
Table 3 Comparison of Baseline Characteristics between
Characteristic | Male (n=232) | Female (n=404) | p-value |
---|---|---|---|
Age, yr | 53.57±12.15 | 54.20±11.21 | 0.510 |
<40 yr | 31 (13.4) | 36 (8.9) | 0.105 |
40–59 yr | 117 (50.4) | 233 (57.7) | |
≥60 yr | 84 (36.2) | 135 (33.4) | |
Smoking* | |||
Never | 73 (32.3) | 374 (95.9) | <0.001 |
Ex/current | 153 (67.7) | 16 (4.1) | |
Alcohol consumption* | |||
No | 45 (19.9) | 212 (54.6) | <0.001 |
Ex/current | 181 (80.1) | 176 (45.4) | |
Body mass index, kg/m2 | 24.12±2.73 | 22.79±3.08 | <0.001 |
Degree of gastric inflammation* | |||
Neutrophil infiltration | |||
Antrum | |||
No/mild | 82 (35.5) | 143 (35.9) | 0.913 |
Moderate/severe | 149 (64.5) | 255 (64.1) | |
Body | |||
No/mild | 76 (32.9) | 117 (29.1) | 0.318 |
Moderate/severe | 155 (67.1) | 285 (70.9) | |
Monocyte infiltration | |||
Antrum | |||
No/mild | 52 (22.5) | 65 (16.3) | 0.053 |
Moderate/severe | 179 (77.5) | 334 (83.7) | |
Body | |||
No/mild | 61 (26.4) | 76 (18.9) | 0.027 |
Moderate/severe | 170 (73.6) | 326 (81.1) | |
Atrophic gastritis | |||
Antrum | |||
No/mild | 132 (83.0) | 234 (88.0) | 0.153 |
Moderate/severe | 27 (17.0) | 32 (12.0) | |
Body | |||
No/mild | 143 (87.2) | 272 (91.3) | 0.165 |
Moderate/severe | 21 (12.8) | 26 (8.7) | |
Intestinal metaplasia | |||
Antrum | |||
No/mild | 191 (83.0) | 334 (83.5) | 0.882 |
Moderate/severe | 39 (17.0) | 66 (16.5) | |
Body | |||
No/mild | 209 (90.5) | 377 (93.8) | 0.127 |
Moderate/severe | 22 (9.5) | 25 (6.2) | |
Genetic polymorphism* | |||
0.538 | |||
CC | 40 (17.5) | 84 (21.1) | |
CT | 115 (50.4) | 188 (47.2) | |
TT | 73 (32.0) | 126 (31.7) | |
0.330 | |||
L/L† | 196 (84.5) | 354 (87.8) | |
L/2 | 36 (15.5) | 48 (11.9) | |
2/2 | 0 | 1 (0.2) | |
0.345 | |||
TT | 97 (43.5) | 183 (46.7) | |
AT | 102 (45.7) | 157 (40.1) | |
AA | 24 (10.8) | 52 (13.3) | |
0.905 | |||
CC | 109 (48.4) | 193 (49) | |
CT | 87 (38.7) | 155 (39.3) | |
TT | 29 (12.9) | 46 (11.7) | |
0.094 | |||
AA | 200 (91.3) | 327 (85.4) | |
GA | 18 (8.2) | 51 (13.3) | |
GG | 1 (0.5) | 5 (1.3) | |
0.052 | |||
AA | 118 (51.8) | 165 (42.1) | |
CA | 84 (36.8) | 165 (42.1) | |
CC | 26 (11.4) | 62 (5.8) | |
0.438 | |||
CC | 118 (52.4) | 187 (47.6) | |
GC | 86 (38.2) | 160 (40.7) | |
GG | 21 (9.3) | 46 (11.7) | |
0.987 | |||
G/G | 198 (86.5) | 345 (86.3) | |
G/A | 29 (12.7) | 51 (12.8) | |
A/A | 2 (0.9) | 4 (1.0) | |
0.473 | |||
CC | 67 (29.8) | 123 (32.1) | |
CT | 113 (50.2) | 173 (45.2) | |
TT | 45 (20.0) | 87 (22.7) | |
Bacterial virulence factor* | |||
0.721 | |||
Positive | 80 (37.0) | 141 (38.5) | |
Negative | 136 (63.0) | 225 (61.5) | |
0.756 | |||
Positive | 91 (47.4) | 155 (46.0) | |
Negative | 101 (52.6) | 182 (54.0) | |
0.970 | |||
Positive | 175 (91.6) | 310 (91.7) | |
Negative | 16 (8.4) | 28 (8.3) | |
0.982 | |||
Positive | 106 (46.3) | 182 (46.2) | |
Negative | 123 (53.7) | 212 (53.8) | |
0.886 | |||
Positive | 101 (44.1) | 177 (44.7) | |
Negative | 128 (55.9) | 219 (55.3) |
Data are presented as mean±SD or number (%).
*Some data were missing; †L indicates a long variable number tandem repeat consisting of more than two 86-bp repeats. Allele 1 of this polymorphism consists of four repeats and is the commonest allele. Alleles 3 (five repeats), 4 (three repeats), and 5 (six repeats) are very rare. Alleles 3, 4, and 5 grouped with allele 1 are referred to as “L” (long alleles) for analysis purposes.
Table 4 The Association of Clinical, Bacterial and Genetic Factors with Severity of Atrophic Gastritis of the Corpus
Variable | Male | Female | |||||
---|---|---|---|---|---|---|---|
No/mild | Moderate/severe | p | No/mild | Moderate/severe | p-value | ||
Age, yr | 51.94±12.55 | 59.67±8.87 | 0.001 | 53.36±11.15 | 60.19±7.98 | <0.001 | |
Smoking | |||||||
Never | 42 (84.0) | 8 (16.0) | 0.481 | 253 (91.3) | 24 (8.7) | 0.361 | |
Ex/current | 96 (88.1) | 13 (11.9) | 12 (85.7) | 2 (14.3) | |||
Drinking | |||||||
No | 21 (72.4) | 8 (27.6) | 0.028 | 132 (89.2) | 16 (10.8) | 0.261 | |
Yes | 117 (90.0) | 13 (10.0) | 132 (93.0) | 10 (7.0) | |||
Body mass index, kg/m2 | 24.27±2.85 | 23.67±2.82 | 0.373 | 28.12±87.40 | 24.34±4.16 | 0.829 | |
CT+TT | 121 (89.6) | 14 (10.4) | 0.022 | 210 (90.9) | 21 (9.1) | 0.489 | |
CC | 19 (73.1) | 7 (26.9) | 59 (93.7) | 4 (6.3) | |||
2/2 | 0 | 0 | 1 (100) | 0 | 1.000 | ||
L/2+ L/La | 143 (84.2) | 21 (12.8) | 270 (91.2) | 26 (8.8) | |||
AT+TT | 126 (88.1) | 17 (11.9) | 0.943 | 234 (94.0) | 15 (6.0) | 0.001 | |
AA | 14 (87.5) | 2 (12.5) | 33 (78.6) | 9 (21.4) | |||
CC+CT | 128 (88.9) | 16 (11.1) | 0.370 | 240 (93.0) | 18 (7.0) | 0.018 | |
TT | 13 (81.3) | 3 (18.8) | 25 (80.6) | 6 (19.4) | |||
GA+AA | 137 (88.4) | 18 (11.6) | 1.000 | 258 (91.8) | 23 (8.2) | 0.357 | |
GG | 1 (100) | 0 | 4 (80.0) | 1 (20.0) | |||
AA+CA | 128 (87.1) | 19 (12.9) | 0.483 | 225 (91.1) | 22 (8.9) | 0.368 | |
CC | 14 (93.3) | 1 (6.7) | 40 (95.2) | 2 (4.8) | |||
CC+GC | 128 (87.1) | 19 (12.9) | 0.531 | 238 (91.9) | 21 (8.1) | 0.722 | |
GG | 13 (92.9) | 1 (7.1) | 27 (90.0) | 3 (10.0) | |||
GG+GA | 139 (86.9) | 21 (13.1) | 1.000 | 267 (91.8) | 24 (8.2) | 0.235 | |
AA | 1 (100) | 0 | 2 (66.7) | 1 (33.3) | |||
CC+CT | 107 (84.9) | 19 (15.1) | 0.063 | 201 (92.2) | 17 (7.8) | 0.711 | |
TT | 32 (97.0) | 1 (3.0) | 59 (90.8) | 6 (9.2) | |||
Negative | 51 (82.3) | 11 (17.7) | 0.150 | 92 (88.5) | 12 (11.5) | 0.155 | |
Positive | 83 (90.2) | 9 (9.8) | 156 (93.4) | 11 (6.6) | |||
Negative | 64 (97.7) | 9 (12.3) | 0.893 | 111 (93.3) | 8 (6.7) | 0.276 | |
Positive | 61 (88.4) | 8 (11.6) | 127 (89.4) | 15 (10.6) | |||
Negative | 115 (87.8) | 16 (12.2) | 1.000 | 218 (90.8) | 22 (9.2) | 0.704 | |
Positive | 10 (90.9) | 1 (9.1) | 21 (95.5) | 1 (4.5) | |||
Negative | 64 (84.2) | 12 (15.8) | 0.314 | 124 (91.2) | 12 (8.8) | 0.895 | |
Positive | 77 (89.5) | 9 (10.5) | 142 (91.6) | 13 (8.4) | |||
Negative | 64 (81.0) | 15 (19.0) | 0.026 | 117 (90.7) | 12 (9.3) | 0.844 | |
Positive | 77 (92.8) | 6 (7.2) | 148 (91.4) | 14 (8.6) |
Data are presented as mean±SD or number (%).
Table 5 Independent Predictors of Moderate to Severe Atrophic Gastritis and Intestinal Metaplasia of the Corpus at Logistic Regression Analysis
Variable | No. of subjects (%) or mean±SD | HR | 95% CI | p-value |
---|---|---|---|---|
Atrophic gastritis | ||||
Male | ||||
Age, yr | 59.67±8.87 | 1.038 | 0.990–1.088 | 0.126 |
Drinking (no vs yes) | 8 (27.6) vs 13 (10.0) | 0.221 | 0.073–0.666 | 0.007 |
14 (10.4) vs 7 (26.9) | 4.377 | 1.387–13.814 | 0.012 | |
15 (19.0) vs 6 (7.2) | 0.349 | 0.123–0.991 | 0.048 | |
Female | ||||
Age, yr | 60.19±7.98 | 1.061 | 1.014–1.110 | 0.010 |
15 (6.0) vs 9 (21.4) | 3.799 | 1.515–9.523 | 0.004 | |
18 (7.0) vs 6 (19.4) | 1.182 | 0.316–4.426 | 0.804 | |
Intestinal metaplasia | ||||
Male | ||||
Age, yr | 60.73±10.77 | 1.064 | 1.017–1.113 | 0.007 |
7 (5.6) vs 13 (13.4) | 3.128 | 1.149–8.512 | 0.026 | |
6 (5.1) vs 14 (12.7) | 2.334 | 0.837–6.503 | 0.105 | |
Female | ||||
Age, yr | 53.36±10.23 | 1.048 | 1.008–1.090 | 0.019 |
HR, hazard ratio; CI, confidence interval.
Table 6 Independent Predictors of Moderate to Severe Monocyte Infiltration of the Antrum
Variable | No. of subjects (%) | HR | 95% CI | p-value |
---|---|---|---|---|
Male | ||||
84 (71.8) vs 92 (83.6) | 2.227 | 1.125–4.407 | 0.022 | |
51 (63.8) vs 114 (84.4) | 3.233 | 1.664–6.283 | 0.001 | |
74 (68.8) vs 102 (83.6) | 1.270 | 0.607–2.657 | 0.013 | |
71 (70.3) vs 105 (82.7) | 1.634 | 0.819–3.260 | 0.163 | |
Female | ||||
144 (79.6) vs 181 (87.4) | 1.592 | 0.841–3.015 | 0.153 | |
125 (81.2) vs 162 (90.0) | 1.762 | 0.893–3.487 | 0.021 | |
75 (80.6) vs 128 (95.5) | 2.097 | 1.054–4.197 | 0.037 |
HR, hazard ratio; CI, confidence interval.
Table 7 Independent Predictors of Moderate to Severe Neutrophil Infiltration of the Antrum and Corpus
Variable | No. of subjects (%) or mean±SD | HR | 95% CI | p-value |
---|---|---|---|---|
Antrum | ||||
Male | ||||
37 (46.3) vs 100 (74.1) | 1.918 | 0.957–3.824 | 0.066 | |
50 (54.9) vs 73 (72.3) | 0.886 | 0.423–1.854 | 0.747 | |
54 (50.9) vs 94 (77.0) | 2.209 | 1.105–4.420 | 0.025 | |
49 (48.5) vs 98 (77.2) | 2.719 | 1.407–5.253 | 0.003 | |
Female | ||||
Age, yr | 53.15±11.38 | 0.968 | 0.945–0.991 | 0.007 |
21 (46.7) vs 231 (67.3) | 2.981 | 1.297–6.852 | 0.010 | |
68 (29.1) vs 166 (70.9) | 2.212 | 1.212–4.036 | 0.010 | |
88 (40.6) vs 129 (59.4) | 1.701 | 0.928–3.118 | 0.086 | |
194 (89.0) vs 24 (11.0) | 10.420 | 2.230–48.701 | 0.003 | |
96 (37.8) vs 158 (62.2) | 1.306 | 0.701–2.436 | 0.401 | |
99 (39.1) vs 154 (60.9) | 1.353 | 0.771–2.373 | 0.292 | |
Corpus | ||||
Male | ||||
Age, yr | 54.70±11.93 | 1.025 | 0.998–1.052 | 0.070 |
Smoking (negative vs positive) | 56 (76.7) vs 95 (62.5) | 0.381 | 0.178–0.813 | 0.013 |
13 (46.4) vs 137 (69.9) | 3.516 | 1.388–8.905 | 0.008 | |
43 (53.8) vs 98 (72.6) | 2.138 | 1.080–4.232 | 0.029 | |
60 (56.6) vs 94 (77.0) | 1.866 | 0.956–3.643 | 0.067 | |
Female | ||||
86 (61.0) vs 173 (77.6) | 1.915 | 1.160–3.163 | 0.011 | |
101 (65.2) vs 139 (76.8) | 1.375 | 0.768–2.460 | 0.283 |
HR, hazard ratio; CI, confidence interval.