| Literature DB >> 32328138 |
Yun-Kai Dai1, Yun-Zhan Zhang1, Dan-Yan Li1, Xu Chen1,2, Lin Gong1, Qi Luo2, Shao-Yang Lan2, Bin Chen2, Jian-Yu Wu2, Zi-Jing Zhang2, Meng-Xin Huang1, Jin-Tong Ye1, Wei-Jing Chen1, Ru-Liu Li1, Ling Hu1.
Abstract
Cyclooxygenase-2 (COX-2) is an inducible enzyme stimulated by various inflammatory factors (IFs). Chronic gastritis is a classic model of "inflammation-cancer transformation" and Helicobacter pylori-related gastric diseases (HPGD) are specific ones of this model. Traditional Chinese Medicine (TCM) syndromes could play a predictive role in gastric histopathological evolution. To search for early warning evidence about "inflammation-cancer transformation," this study is about to explore interaction of COX-2 with Helicobacter pylori (Hp) in HPGD with different TCM syndromes. All included subjects underwent endoscopy and biopsy. Hp infection was detected by rapid urease test and methylene blue staining. Histopathological characteristics and COX-2 expression in gastric mucosa (GM) were, respectively, observed by hematoxylin-eosin and Elivision™ plus. SPSS 18.0 and Stata 11.0 statistical software packages were used for statistical analysis. Results of immunohistochemical staining in this study showed COX-2 expression in Hp-positive patients was stronger than that in Hp-negative ones. Spearman' analysis indicated that degrees of both Hp infection and COX-2 expression were positively correlated with those of gastric inflammation and inflammatory activity. Compared with the relative normal group, both severe dysplasia group and gastric carcinoma group had more severe Hp infection and COX-2 expression. Compared with the nonsyndrome, syndrome of internal block of static blood (IBSB) had higher scores in semiquantitative analysis of COX-2 protein expression among TCM groups. Moreover, multivariate logistics regression analysis suggested that patients with Hp infection could increase the risk of IBSB. These results indicated that COX-2 interacting with Hp could play an important role in transforming gastric chronic nonresolving inflammation into carcinoma in subjects with HPGD, as well as inducing the formation of IBSB. HPGD together with IBSB could be an early warning evidence for GM with histopathological evolution from benign to malignant.Entities:
Year: 2020 PMID: 32328138 PMCID: PMC7165359 DOI: 10.1155/2020/7340814
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Figure 1Characteristics of subjects. (a) Histopathological groups. Distribution of gender and age: P > 0.05. Hp% (P < 0.05): NOR versus other histopathological groups; SD versus GC. (b) TCM syndromes groups. Distribution of gender and age: P > 0.05. Hp% (P < 0.05): NON versus other TCM groups. Annotation: ages are presented as means ± standard deviation. Hp% = H. pylori positive rate. NOR = the relative normal group; INF = inflammation group; ATR = atrophy group; PL = precancerous lesion group; SD = severe dysplasia group; GC = gastric carcinoma group. NON = nonsyndrome; SSDH = syndrome of spleen-stomach dampness-heat; LQIS = syndrome of liver qi invading the stomach; IBSB = syndrome of internal block of static blood; SQD = syndrome of spleen qi deficiency.
Figure 2Situation of Hp infection and inflammation in gastric mucosa. (a) Situation of Hp infection. A–D: none, mild, moderate, and severe Hp infection. (b) Situation of inflammatory degree. A–C: mild, moderate, and severe inflammatory degree. (c) Situation of inflammatory activity. A–C: mild, moderate, and severe inflammatory activity. (d) Ratio of Hp infection. A: histopathological groups (P < 0.05); B: TCM syndromes groups (P < 0.05). (e) Ratio of inflammatory degree. A: histopathological groups (P < 0.05); B: TCM syndromes groups (P > 0.05). (f) Ratio of inflammatory activity. A: histopathological groups (P < 0.05); B: TCM syndromes groups (P > 0.05). Annotation: P < 0.05; P < 0.01; P < 0.001.
Figure 3COX-2 expression in gastric mucosa. (a) Ratio of COX-2 expression in histopathological groups (P > 0.05). (b) Ratio of COX-2 expression in TCM syndromes groups (P > 0.05). (c) Results of semiquantitative analysis in histopathological groups (P < 0.05: Hp-positive vs. Hp-negative; NOR vs. SD, GC; SD vs. GC). (d) Results of semiquantitative analysis in TCM syndromes groups (P > 0.05). Annotation: semiquantitative analysis is presented as means ± standard deviation. Hp(+): H. pylori positive; Hp(−): H. pylori negative. −: negative expression of COX-2; +: mild expression of COX-2; ++: moderate expression of COX-2; +++: severe expression of COX-2.
Figure 4COX-2 protein expression of gastric mucosa in TCM groups (100x). (a–d) COX-2 expression in SSDH, LQIS, IBSB, and SQD. A–C: situation of COX-2 expression in different histopathological characteristics with Hp-positive; D: situation of COX-2 expression with Hp-negative. (e) COX-2 expression in NOR. A–D: situation of COX-2 expression in NON, SSDH, LQIS, and SQD.
Multivariate logistics regression analysis in pathological groups.
| Histopathological groups | Independent variables | RR | SE |
|
|
|---|---|---|---|---|---|
| NOR | (Base outcome) | ||||
| INF | Hp | 2.277 | 0.8830972 | 2.12 | 0.034 |
| Gender | 1.020 | 0.3954924 | 0.05 | 0.959 | |
| Age | |||||
| <55 | 1.329 | 0.5989521 | 0.63 | 0.527 | |
| <65 | 1.693 | 1.03691 | 0.86 | 0.390 | |
| ≧65 | 0.632 | 0.4200556 | −0.69 | 0.490 | |
| ATR | Hp | 17.324 | 11.90478 | 4.15 | 0.0001 |
| Gender | 1.180 | 0.5480148 | 0.36 | 0.721 | |
| Age | |||||
| <55 | 1.131 | 0.6110357 | 0.23 | 0.820 | |
| <65 | 1.585 | 1.111484 | 0.66 | 0.512 | |
| ≧65 | 0.566 | 0.4547304 | −0.71 | 0.479 | |
| PL | Hp | 15.422 | 6.801805 | 6.2 | 0.0001 |
| Gender | 0.998 | 0.3875241 | −0.01 | 0.995 | |
| Age | |||||
| <55 | 1.277 | 0.5846023 | 0.53 | 0.593 | |
| <65 | 2.572 | 1.561198 | 1.56 | 0.120 | |
| ≧65 | 1.071 | 0.6752688 | 0.11 | 0.913 | |
| SD | Hp | 15.125 | 12.26189 | 3.35 | 0.001 |
| Gender | 1.226 | 0.638497 | 0.39 | 0.696 | |
| Age | |||||
| <55 | 1.393 | 0.8882281 | 0.52 | 0.604 | |
| <65 | 4.059 | 2.973131 | 1.91 | 0.056 | |
| ≧65 | 0.988 | 0.8756455 | −0.01 | 0.989 | |
| GC | Hp | 6.890 | 3.706875 | 3.59 | 0.0001 |
| Gender | 2.393 | 1.113171 | 1.88 | 0.061 | |
| Age | |||||
| <55 | 1.113 | 0.6630165 | 0.18 | 0.857 | |
| <65 | 5.612 | 3.763102 | 2.57 | 0.010 | |
| ≧65 | 4.825 | 3.289365 | 2.31 | 0.021 | |
P < 0.05. RR: relative risk; SE: standard error. Hp: Hp (−) as a reference; Gender: female as a reference; Age: <45 as a reference.
Multivariate logistics regression analysis in TCM groups.
| TCM groups | Independent variables | RR | SE |
|
|
|---|---|---|---|---|---|
| NON | (Base outcome) | ||||
| SSDH | Hp | 66.360 | 71.22943 | 3.91 | 0.0001 |
| Gender | 0.797 | 0.5363312 | −0.34 | 0.737 | |
| Age | |||||
| <55 | 1.103 | 0.7698166 | 0.14 | 0.889 | |
| <65 | 2528084 | 2.19 | 0.02 | 0.986 | |
| ≧65 | 1.338 | 1.55997 | 0.25 | 0.803 | |
| LQIS | Hp | 68.114 | 73.09308 | 3.93 | 0.0001 |
| Gender | 0.532 | 0.3566124 | −0.94 | 0.346 | |
| Age | |||||
| <55 | 1.014 | 0.7049037 | 0.02 | 0.984 | |
| <65 | 1477533 | 1.28 | 0.02 | 0.987 | |
| ≧65 | 0.583 | 0.687404 | −0.46 | 0.647 | |
| IBSB | Hp | 72.048 | 80.58746 | 3.82 | 0.0001 |
| Gender | 0.714 | 0.5035651 | −0.48 | 0.633 | |
| Age | |||||
| <55 | 1.504 | 1.123849 | 0.55 | 0.585 | |
| <65 | 3083635 | 2.67 | 0.02 | 0.986 | |
| ≧65 | 1.673 | 2.022528 | 0.43 | 0.670 | |
| SQD | Hp | 41.117 | 44.61288 | 3.43 | 0.001 |
| Gender | 0.507 | 0.3472169 | −0.99 | 0.321 | |
| Age | |||||
| <55 | 1.871 | 1.344472 | 0.87 | 0.384 | |
| <65 | 3893661 | 3.37 | 0.02 | 0.986 | |
| ≧65 | 1.892 | 2.242295 | 0.54 | 0.591 | |
P < 0.05. RR: relative risk; SE: standard error. Hp: Hp (−) as a reference; Gender: female as a reference; Age: <45 as a reference.
Figure 5Spearman' analysis. Annotation: r correlation coefficient. P < 0.05: Hp infection degree versus COX-2 expression degree, degrees of inflammation and inflammatory activity; COX-2 expression degree versus degrees of inflammation and inflammatory activity.