Basic Study Open Access
Copyright ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Dec 15, 2019; 11(12): 1115-1125
Published online Dec 15, 2019. doi: 10.4251/wjgo.v11.i12.1115
Improved method for inducing chronic atrophic gastritis in mice
Xian Wei, Xue-Ping Feng, Lu-Yao Wang, Yan-Qiang Huang, Ling-Ling Liang, Xiao-Qiang Mo, Hong-Yu Wei, Breeding Base of Microbial Infection Key Laboratory in the West Guangxi, Youjiang Medical University for Nationalities, Baise 533000, Guangxi Zhuang Autonomous Region, China.
ORCID number: Xian Wei (0000-0003-0421-114X); Xue-Ping Feng (0000-0003-0725-1067); Lu-Yao Wang (0000-0001-5545-0170); Yan-Qiang Huang (0000-0003-1093-9110); Lin-Ling Liang (0000-0002-1498-2370); Xiao-Qiang Mo (0000-0002-6706-336X); Hong-Yu Wei (0000-0003-1481-741X).
Author contributions: Wei X and Feng XP performed the research and contributed equally to this work; Wang LY, Liang LL, Mo XQ, and Wei HY analyzed the data; Huang YQ designed the research and analyzed the data; all authors drafted the article, made critical revisions related to the intellectual content of the manuscript, and approved the final version of the article to be published.
Supported by National Natural Science Foundation of China, No. 31460023; Science Research and Technology Development Project of Guangxi, No. 1598025-33.
Institutional review board statement: All specimens from the patients were obtained after informed consent and ethical permission were obtained for participation in the study.
Conflict-of-interest statement: The authors report no relevant conflicts of interest.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Yan-Qiang Huang, MD, PhD, Professor, Breeding Base of Microbial Infection Key Laboratory in the West Guangxi, Youjiang Medical University for Nationalities, No. 98, Countryside Road, Baise 533000, Guangxi Zhuang Autonomous Region, China. hyq77615@163.com
Telephone: +86-776-2849490 Fax: +86-776-2853272
Received: May 16, 2019
Peer-review started: May 21, 2019
First decision: July 31, 2019
Revised: August 5, 2019
Accepted: October 1, 2019
Article in press: October 1, 2019
Published online: December 15, 2019

Abstract
BACKGROUND

Chronic atrophic gastritis (CAG) is a common disease of the digestive system with pathological characteristics of a decreasing number, or disappearance, of inherent glands of the gastric mucosa. CAG has been defined as a precancerous condition of gastric cancer. Intestinal metaplasia or intraepithelial neoplasia accompanying atrophied glands of the stomach is regarded as one of the most important precancerous lesions of gastric cancer. As a common malignant tumour, gastric cancer remains without a satisfactory therapy and its pathogenesis remains unclear, seriously threatening human life. Therefore, some scholars have proposed to prevent the incidence of gastric cancer by avoiding precancerous lesions. If CAG can be reversed, the incidence of gastric cancer can be substantially reduced. To reverse and prevent CAG and study its pathogenesis and therapy, it is necessary to develop an ideal, safe, stable, animal model.

AIM

To study a rapid, stable, and safe method of establishing a mouse model of human CAG.

METHODS

Six-week-old Kunming mice were divided into a phosphate buffered solution control group, a Helicobacter pylori (H. pylori) group, an N-methyl-N'-nitroguanidine (MNNG) group, an ammonia water group, and a group combining H. pylori, MNNG, and ammonia water (hereinafter referred to as the combined group). The mice were administrated with drinking water containing ammonia or infected with H. pylori through gavage. At the 30th, 60th, 90th, and 120th day after the last H. pylori infection, mice were selected randomly to collect their gastric mucosa for hematoxylin eosin staining, terminal nick-end labelling staining detection, and immunohistochemical staining for Bax and Bcl-2. In addition, H. pylori was isolated, cultured, and identified, and its extent of colonisation calculated. Blood was collected to detect inflammatory factors interleukin (IL)-1β, IL-8, and tumor necrosis factor (TNF)-α and immune function markers CD4 and CD8 to confirm successful establishment of the CAG model.

RESULTS

The combined group showed slight CAG at the 90th day and moderate CAG at the 120th day, while other groups did not show CAG at that time.

CONCLUSION

The combination of H. pylori, MNNG, and ammonia is an effective method of developing a mouse model of human CAG.

Key Words: Method, Chronic atrophic gastritis, Mice, Helicobacter pylori, N-methyl-N'-nitroguanidine, Ammonia water

Core tip: A chronic atrophic gastritis (CAG) model was successfully established at the 90th day after the last Helicobacter pylori (H. pylori) infection of six-week-old mice, with a success rate reaching 90%. The method overcomes the difficulty in colonising H. pylori in mice and the fact that the colonisation time is short. In addition, rats are replaced with mice, and the method is thus simpler and also cheaper. The established models are stable and safe, therefore, the method is a relatively ideal method for establishing a mouse model of CAG. It provides a significant help when exploring the mechanisms of occurrence and prevention CAG.



INTRODUCTION

Chronic atrophic gastritis (CAG) is a common disease of the digestive system with pathological characteristics of a decreasing number, or disappearance, of inherent glands of gastric mucosa[1,2]. As early as 1978, the World Health Organization had announced a close relationship between CAG and the incidence of gastric cancer[3]. CAG has been defined as a precancerous condition of gastric cancer. Intestinal metaplasia or intraepithelial neoplasia accompanying atrophied glands of the stomach is regarded as one of the most important precancerous lesions of gastric cancer. As a common malignant tumour, gastric cancer remains without a satisfactory therapy and its pathogenesis remains unclear, seriously threatening human life[4,5]. Therefore, some scholars have proposed to prevent the incidence of gastric cancer by avoiding precancerous lesions. If CAG can be reversed, the incidence of gastric cancer can be substantially reduced. To reverse and prevent CAG and study its pathogenesis and therapy, it is necessary to develop an ideal, safe, stable, animal model. An ideal animal model of CAG needs to meet the following conditions: (1) The model develops disease to resemble the same condition in humans; (2) Animals are abundant and easily raised; and (3) The model is simple and provides a high success rate, and readily guarantees survival of the animals. In recent years, scholars mainly established animal models by imitating human CAG etiology. Commonly used animals include rats and Mongolian gerbils. Methods based on live Helicobacter pylori (H. pylori), N-methyl-N'-nitroguanidine (MNNG), ammonia, sodium deoxycholate, sodium salicylate, and immunology are commonly used to establish animal models[6-8]. In addition to this, the animal model can also be developed through combination of diseases and syndromes according to traditional Chinese medicine (TCM)[9]. Regardless of what method is used, the results differ to some extent from the ideal animal model and certain deficiencies therein require to be overcome. It is a challenge to build a CAG model with mice. For example, even if the methods of chemical mutagens and stimulation of the gastric mucosa with a combination of factors are used for establishing animal models with a high success rate, they retain certain shortcomings. These include various problems, such as the selection of experimental animals, drug combination, drug dosages, and lack of a unified standard for the duration of the modelling. Besides, spontaneous animal models are seldom studied. TCM diagnoses and treats CAG mainly based on an overall analysis of patient condition, rather than the method applied by Western medicine that treats CAG in a general way according to the classification of diseases. Therefore, it is a preferable research approach to establish experimental animals combining diseases and syndromes using TCM to carry out TCM basic and clinical research. Even so, there are also some drawbacks. For instance, there is a lack of a recognised method of developing models and objective evaluation indices thereof. Therefore, it is necessary to improve the animal model of CAG, and explore an ideal method of developing mouse models of CAG. H. pylori is the primary pathogenic factor of CAG; the MNNG method is an acknowledged method of making mouse models of CAG; and ammonia simulates the injury of alkaline environment to the gastric mucosa, so it is also a clinically common method for establishing animal models based on etiology. Considering this, this study proposed an improved comprehensive method for establishing an animal model by combining H. pylori, MNNG, and ammonia. To our knowledge, the combined modelling method has not yet been reported.

MATERIALS AND METHODS
Animals

Female six-week-old Kunming mice, weighing between 180 and 200 g, were purchased from the Experimental Animal Center, Youjiang Medical University for Nationalities. The animals were housed at controlled humidity (50% ± 5%) and temperature (25 ± 2 °C) with a light-dark cycle of 12 h. Animal treatment was in accordance with National Institute of Health guidelines and experimental protocols were approved by the Institutional Animal Care and Use Committee of Youjiang Medical University for Nationalities.

Materials

The study involved H. pylori strains (Affiliated Hospital of Youjiang Medical University for Nationalities), MNNG (BIDE PHARMATECH Co., ltd), ammonia water (Sinopharm Chemical Reagent Co., Ltd.), IL-1β, IL-8, TNF-α, CD4, CD8, CagA, Bax, a Bcl-2 kit (Beijing Solarbio Science and Technology Co., ltd.), and a DNA kit (TIANGEN, BIOTECH Co., ltd.). All reagents were of analytical grade.

Animal groups

A total of 220 six-week-old Kunming mice were randomly divided into a phosphate buffered solution control group, an H. pylori group, an MNNG group, an ammonia water group, and a group combining H. pylori, MNNG, and ammonia water (hereinafter referred to as the combined group). Each group contained equal numbers of male and female mice.

Mutagenesis and injury by MNNG

Mice in the MNNG and combined groups were administrated with MNNG (5 mL/kg body mass) at a concentration of 120 μg/mL through daily gavage for seven successive days.

Inducing injury and neutralising gastric acid by ammonia water

Mice were fed drinking water containing 0.02 wt% ammonia throughout. Mice in the control group were fed regularly without intervention.

H. pylori infection

Clinically isolated H. pylori strains were used, and they were subjected to Gram staining, urease testing, oxidase testing, and catalase testing, and identified as H. pylori through 16S ribosomal RNA sequencing. Strains were CagA and VagA positive and were proliferated and cultured for three days. The concentration of biosynthetic human insulin (BHI) medium was adjusted to 1 × 109 CFU/mL. H. pylori was applied to the mice through gavage after intragastric administration of MNNG. The mice were fasted for 12 h before gavage. The mice in the H. pylori and combined groups were intragastrically administrated with 5 × 108 CFU of H. pylori. Thereafter, the mice were fasted for solids and liquids for 2 h. The administration was conducted every other day, five times in succession. In comparison, 0.5 mL of BHI medium was applied to each mouse in the control group through gavage (also five times).

Confirming modelling results

Five male and five female mice were chosen from each group on the 30th, 60th, 90th, and 120th days. Then, gastric mucosal samples were collected for pathological examination by hematoxylin eosin (HE) staining, terminal nick-end labelling (TUNEL) staining, and immunohistochemical staining for Bax and Bcl-2. In addition, H. pylori was isolated, cultured, and identified, and the extent of its colonisation calculated. Blood was collected to detect the inflammatory factors IL-1β, IL-8, and TNF-α, and immune function markers CD4 and CD8. Besides, the liver, kidney, and spleen samples of the modelling groups were detected by HE staining to confirm whether or not CAG has been successfully induced.

RESULTS
HE-stained gastric mucosa

On the 30th day after infection, all of the mice in the combined group were found to have developed acute gastritis, while there were no CAG mice. No significant difference was shown on the 60th day compared with that on the 30th day. On the 90th day, 90% (nine out of ten) of mice had developed slight CAG which developed to moderate CAG on the 120th day, as shown in Figure 1.

Figure 1
Figure 1 HE-stained gastric mucosal tissues of mice in the combined group (magnification, ×100).
TUNEL-stained gastric mucosa

The detection of TUNEL-stained gastric mucosa of mice in the combined group on the 30th, 60th, 90th, and 120th days after infection revealed that epithelial cells of the gastric mucosa all presented significant apoptosis. There was greater cell apoptosis by the 30th day, while at the 90th and 120th days, similar, less severe, apoptosis than that at the 30th day was found, as shown in Figure 2.

Figure 2
Figure 2 TUNEL-stained gastric mucosal tissues of mice in the combined group (magnification, ×100).
Immunohistochemical staining for Bax and Bcl-2

Bax, directly activated by p53, can improve apoptotic sensitivity and promote p53-mediated cell apoptosis. Bcl-2 protein can form a heterodimer with other pro-apoptotic proteins to inhibit cell apoptosis. It also plays an anti-apoptosis effect by interacting with apoptotic protease activating factor or inhibiting the release of cytochrome c, an activator of mitochondrial caspases. Therefore, cell apoptosis can be examined by detecting the expression of Bcl-xL and Bax. The expression of Bax in the combined group was up-regulated at the 90th and 120th day, while that of Bcl-2 was down-regulated, which indicated that the mice in the combined group had undergone significant cell apoptosis, conforming to the characteristics of CAG, as shown in Figure 3.

Figure 3
Figure 3 Immunohistochemical staining for Bax and Bcl-2 in the gastric mucosa of mice in the combined group (magnification, ×100).
Identification and colonisation of isolated cultures

According to the postulates of Robert Koch, infecting H. pylori has to be isolated and cultured from the modelling groups, so the gastric mucosa was collected for isolation and culture of H. pylori, and the cultures were identified. The specific results are described below.

Gram staining: Isolated cultures were selected for Gram staining. The bacteria were Gram negative under a microscope and curving, which is consistent with the morphological characteristics of stained H. pylori, as shown in Figure 4.

Figure 4
Figure 4 Gram staining of Helicobacter pylori cultures isolated from the gastric mucosa of mice in the combined group (magnification, ×100).

CagA detection: CagA is a typical virulence factor of H. pylori. It had been verified that the infecting H. pylori strains contain the CagA gene before H. pylori infection through gavage. Therefore, if the isolated bacterium was H. pylori, the genome was bound to contain the CagA gene. It was verified that the isolated cultures did contain the CagA gene, as shown in Figure 5.

Figure 5
Figure 5 Cag A detection for Helicobacter pylori isolated and cultured from the gastric mucosa of mice in the combined group.

Detection of oxidase, peroxidase, and urease:H. pylori shows the biochemical characteristic of positive oxidase, peroxidase, and urease, so the three factors are commonly used as biochemical indices for identifying H. pylori. Detection of the isolated cultures showed that the three were also positive, which accorded with the biochemical characteristics of H. pylori, as summarised in Table 1.

Table 1 Identification of cultures isolated from gastric mucosa of mice in the combined group based on biochemical indices.
GroupOxidasePeroxidaseUrease
Positive control+++
Negative control---
Isolated culture+++

Extent of H. pylori colonisation: The above identifications revealed that the isolated and cultured bacterium was H. pylori, whose population was calculated then to estimate the extent of its colonisation. At the 30th, 60th, 90th, and 120th days after infection, every gram of gastric mucosa of mice in the combined group was found to contain 1 × 104 to 1 × 105 CFU of H. pylori, and there was no significant difference across different time periods. This indicated that the colonisation of H. pylori did not decrease within 120 d after H. pylori infection, so H. pylori probably played a significant role in the pathogenic process of CAG, as shown in Figure 6.

Figure 6
Figure 6 Helicobacter pylori colonisation in the gastric mucosa of mice in the combined group.
Detection of inflammatory factors

The incidence and development of CAG can trigger the release of various inflammatory factors such as IL-1β, IL-8, and TNF-α. Inflammatory factors IL-1α, IL-8, and TNF-α were found to have increased expression on the 30th, 90th, and 120th days after mice in the combined group were infected with H. pylori. The increase was greater the first month, while the inflammatory factors had equivalent expression at the 90th and 120th days, both being lower than that on the 30th day. The results are consistent with the results of TUNEL staining, also showing the up-regulation of CAG inflammatory factors, as shown in Figure 7.

Figure 7
Figure 7 Inflammatory factors in mice in the combined group.
Detection of immunological functions

The expression of CD4+ and CD8+ immune cells of mice in the combined group were both decreased by the 30th, 90th, and 120th days after infection. The expression was down-regulated significantly by the 30th day, while the two immune cells were expressed in a similar manner on the 90th and 120th days, both having been down-regulated to a lesser extent than that on the 30th day. This was mainly because, by the 30th day, the mice were still affected by the immunosuppressor MNNG, and their immunological functions were impaired. After eliminating the influences of the immunosuppressor, the immunological functions improved while were unable to recover to normal levels. This is also probably because CAG itself is characterised by the impairment of immunological function, as seen from Table 2.

Table 2 Immunological functionsof mice in the combined group.
GroupCD4+
CD8+
30th d90th d120th d30th d90th d120th d
PBS control52.56 ± 1.8251.27 ± 2.0552.84 ± 1.4928.13 ± 1.9229.41 ± 2.3930.07 ± 1.24
Combined40.17 ± 1.3644.38 ± 2.1143.97 ± 2.0822.08 ± 1.4225.53 ± 1.8725.19 ± 1.53
Impairment of other organs

As chemical and biological methods were combined in the study to establish the model, chemical reagents were likely to lead to impairment of organ functions of the mice, and even cancers therein. Therefore, it is necessary to detect the impairment of organs of the mice. By collecting and staining the liver, kidney, and spleen tissues with HE, it revealed that there was no impairment. This indicated that the modelling method did not induce complications of the liver, kidney, and spleen except for the development of CAG, so the method could be deemed safe, as shown in Figure 8.

Figure 8
Figure 8 HE-stained liver, kidney, and spleen tissues of mice in the combined group (magnification, ×100).
Statistics of successful mice models

The aforementioned identifications proved that the established animal models were CAG models. Statistical analysis revealed that 90% of mice in the combined group developed CAG at the 90th and 120th day after infection and H. pylori colonisation was found in all such mice. In contrast, the H. pylori group showed H. pylori colonisation but no CAG. Other groups did not exhibit CAG or H. pylori colonisation, as can be seen from the data in Table 3.

Table 3 Modelling results of chronic atrophic gastritis.
GroupThe number of mice developing CAG
The number of mice with Hp colonisation
Success rate
90th d after infection120th d after infection90th d after infection120th d after infection
PBS control00000
Hp0090% (9/10)100% (10/10)0
MNNG00000
Ammonia water00000
Combined90% (9/10)90 (9/10)100% (10/10)100% (10/10)90%
DISCUSSION

CAG is one of the most common gastrointestinal diseases and an early stage of gastric cancer. CAG is actually one event in a chronic degenerative process beginning with gastritis, proceeding to CAG, then to intestinal metaplasia, dysplasia and, finally, to carcinoma[10]. CAG is hard to be cured with recurrent attacks, severely affecting the health of human. The research and treatment of CAG are very popular. An animal model of CAG is an important basis for research into chronic gastritis. Although there have been numerous reports on the animal models of CAG, it is still not clear which model is best suited to investigating the mechanism of occurrence of human chronic gastritis and there are no unified standards for the type and age of animals to be selected[11-13]. As the modelling of chronic gastritis takes a long time, there is an urgent need to find a more rapid, stable, safe model. At present, biological modelling, chemical injury, and active immunisation are commonly used methods of establishing animal models, and rats are generally used. MNNG, sodium deoxycholate, and sodium salicylate are commonly model materials with chemical methods. Rats and Mongolian gerbils are commonly used animals to develop CAG models, while mice are unusually used. The reasons may be that mice do not control the dose of the intervention and are prone to other complications or toxic side effects.

H. pylori is a human-specific pathogen, which leads to gastric pathologies including gastritis and gastric ulcers. H. pylori is a common risk factor for CAG and can be used to create CAG model. The animal model is due to H. pylori infection, more like a human infection model, and beneficial to studying the pathogenesis of CAG. However, H. pylori is relatively easy to implant in rats and Mongolian gerbils, and the incidence rate is relatively high, but it is difficult to plant in the mouse. Clinically isolated H. pylori strains must be domesticated for adapted planting, and the time of retaining in the stomach is relatively short. After the first month of infection, the maximum number of plants is reached, and it will decrease in the second and third months. The mice will not be able to maintain a relatively high infection rate. Although the C57BL/6 mice and BALB/c mice with H. pylori Sydney strain (SS1) can maintain a high amount of plants in the stomach for a long time, the strain was CagA negative and CAG did not appear in 24 wk after the last infection[14]. “H. pylori + N-methyl-N-nitrourea can induce CAG in 23.1% of animals after infection for 36 wk, which required a long time, and the success rate is low[15]. As it is difficult to colonise H. pylori in the stomach in the long term, and particularly difficult to infect mice for a long time, biological modelling commonly uses rats. However, H. pylori does not readily infect rats without injury to the gastric mucosa, therefore, the gastric mucosa of rats has to be impaired before being infected with H. pylori in many experiments. So, it is very difficult to establish CAG with H. pylori infected mice in a short period of time.

In reference to the methods of Bergin et al[16], Nagahara et al[17], and Jin et al[18], this study established a CAG model with Kunming mice by combining H. pylori, MNNG, and ammonia water. The method was proposed on the basis of the fact that infection with H. pylori can induce gastritis[19,20], the functions of MNNG as a chemical mutagen and carcinogen[21,22], and the role of ammonia water in neutralising gastric acid and impairing gastric mucosa[23,24]. A CAG model was successfully established by the 90th day after the last H. pylori infection of six-week-old mice, with a success rate reaching 90%. The method overcomes the difficulty in colonising H. pylori in mice and the fact that the colonisation time is short. In addition, rats are replaced with mice, and the method is thus simpler and also cheaper. The established models are stable and safe, therefore, the method is a relatively ideal method for establishing a mouse model of CAG. It is demonstrated to be possible to build an animal model that is analogous to human CAG, which provides a significant help when exploring the mechanisms of occurrence and prevention of CAG.

ARTICLE HIGHLIGHTS
Research background

Chronic atrophic gastritis (CAG) is a precancerous lesion of gastric cancer. If it is effectively treated, GC will be prevented. So the prevention and treatment of CAG are very important. It needs a good animal model, which can provide etiological research and screening of therapeutic drugs. It is an important tool for studying CAG.

Research motivation

Current animal models of chronic atrophic gastritis are not ideal, long cycle, high cost, difficult to operate, and unstable, so better animal models are needed.

Research objectives

To construct a more rapid, safe, stable and efficient chronic atrophic gastritis model with mice.

Research methods

The mice selected for this method were six-week-old Kunming mice, and Helicobacter pylori, N-methyl-N'-nitroguanidine, and ammonia water were combined to develop a CAG model.

Research results

The method showed slight CAG at the 90th day and moderate CAG at the 120th day.

Research conclusions

The method presented here is more rapid, safe, stable, and efficient.

Research perspectives

Starting from the etiology of chronic atrophic gastritis, the course of the disease is simulated to explore a simple, fast, convenient, and stable method of modelling.

Footnotes

Manuscript source: Unsolicited manuscript

Specialty type: Oncology

Country of origin: China

Peer-review report classification

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P-Reviewer: Kay TM, Lin JK, Wittkopf N S-Editor: Zhang L L-Editor: Wang TQ E-Editor: Qi LL

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