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A correlational study of Weifuchun and its clinical effect on intestinal flora in precancerous lesions of gastric cancer

Chinese Medicine volume 16, Article number: 120 (2021) Cite this article

Abstract

Background

Weifuchun (WFC), a Chinese herbal prescription consisting of Red Ginseng, Isodon amethystoides and Fructus Aurantii, is commonly used in China to treat a variety of chronic stomach disorders. The aim of the paper was to determine the effect of WFC on intestinal microbiota changes in precancerous lesions of gastric cancer (PLGC) patients.

Methods

PLGC patients of H. pylori negative were randomly divided into two groups and received either WFC tablets for a dose of 1.44 g three times a day or vitacoenzyme (Vit) tablets for a dose of 0.8 g three times a day. All patients were treated for 6 months consecutively. Gastroscopy and histopathology were used to assess the histopathological changes in gastric tissues before and after treatment. 16S rRNA gene sequencing was carried out to assess the effects WFC on intestinal microbiota changes in PLGC patients. Receiver Operating Characteristics (ROC) analysis was used to assess the sensitivity and specificity of different intestinal microbiota in distinguishing between PLGC patients and healthy control group.

Results

Gastroscopy and histopathological results indicated that WFC could improve the pathological condition of PLGC patients, especially in the case of atrophy or intestinal metaplasia. The results of 16S rRNA gene sequencing indicated that WFC could regulate microbial diversity, microbial composition, and abundance of the intestinal microbiota of PLGC patients. Following WFC treatment, the relative abundance of Parabacteroides decreased in WFC group when compared with the Vit group. ROC analysis found that the Parabacteroides could effectively distinguish PLGC patients from healthy individuals with sensitivity of 0.79 and specificity of 0.8.

Conclusions

WFC could slow down the progression of PLGC by regulating intestinal microbiota abundance.

Trial registration NCT03814629. Name of registry: Randomized Clinical Trial: Weifuchun Treatment on Precancerous Lesions of Gastric Cancer. Registered 3 August 2018-Retrospectively registered, https://register.clinicaltrials.gov/ NCT03814629.

Background

Among all cancers, gastric cancer ranks fifth in terms of incidence and third in terms of mortality worldwide [1]. More than 70% of new gastric cancer cases are found in developing countries. In addition, 42.6% of the global incidence and 45% of all gastric cancer-related deaths occur in China [2], which is attributed to the low screening and diagnosis rates of early gastric cancer. Early detection of precancerous lesions of gastric cancer (PLGC) to halt their further development can effectively reduce the incidence of gastric cancer.

Recent research has established that gastric cancer is associated with bacterial dysbiosis within the stomach, especially Helicobacter pylori (H. pylori) in the stomach. There is increasingly compelling evidence that the microbiome can affect gastrointestinal carcinogenesis [3], especially gut microbiota, which plays a role in gastric cancer formation, development and response to treatment [4]. Recent advances in metagenomics and bioinformatics have provided new insights on the microbial ecology in gastric tumor. By using advanced sequencing technology, more intestinal flora involved in gastric cancer occurrence and cancer treatment can be found.

So far, no one drug has been shown to be effective in treating PLGC with the exception of anti-H. pylori therapy. In China, vitacoenzyme tablets were approved for the treatment atrophic gastritis and esophageal epithelial hyperplasia. The tablets are a compound preparation from plant Soybean, and their main components are riboflavin and riboflavin derivatives. In fact, vitacoenzyme was included in several studies involving chronic atrophic gastritis (CAG) [5] and gastric precancerous lesions(GPL) [6, 7]. These studies found that vitacoenzyme had limited effect in protecting gastric mucosa against CAG.

Weifuchun (WFC) tablet is a well-known Chinese herbal drug, which was approved by China food and drug administration (CFDA) in 1982. WFC became a patent drug in 1995. It is composed of three herbs, Renshen (Red Ginseng), Xiangchacai (Isodon amethystoides) and Zhike (Fructus Aurantii), and has the effects of strengthening the spleen and replenishing qi, promoting blood circulation and detoxification, eliminating gas and phlegm [8]. Currently, WFC has been widely used in the treatment of a variety of chronic stomach disorders including CAG and GPL [9, 10]. Annual sales of WFC are 260 million US dollars in 2018. Recent studies showed that WFC could inhibit inflammation of H. pylori infected gastric epithelial cells by blocking NF-kappaB pathways [11]. In our previous research, we found that WFC could inhibit inflammation and increase pepsin secretion by inhibiting MAPK signaling pathway [12]. Studies also demonstrated that WFC was antispasmodic and analgesic, and its functions included regulating gastrointestinal motility [13], inhibiting gastric acid secretion, protecting the gastric mucosa [13, 14], and improving histological endoscopic findings and symptoms [10] of PLGC.

However, there is not enough evidence in clinical trials regarding WFC ability to relieve PLGC and its mechanism is still unknown. More large scale randomized and control trials are needed to investigate WFC’s effectiveness on PLGC. In this study, we evaluated WFC’s effect on PLGC and assessed histopathological changes using a randomized and controlled trial. The stool samples of patients were collected to analyze the intestinal microbial abundance by high-throughput sequencing 16SrRNA. The results elucidate the probable mechanism of action of WFC in regulating intestinal microbial balance and treating atrophy and intestinal metaplasia(IM) to alleviate PLGC.

Methods

Quality and quantity analyses of Weifuchun

WFC tablet was kindly provided by Huqingyu-tang Pharmaceutical Co., Ltd. (Hangzhou, China). Quality and quantity analyses of the aqueous extract were performed with UPLC TOF-MS. HPLC-grade acetonitrile, methanol, and formic acid were purchased from Fisher Scientific (Santa Clara, USA). Naringin, ginsenoside Rb1, and oridonin were identified in WFC by UPLC TOF-MS. The following conditions were used to analyze naringin, ordionin, and ginsenoside Rb1: system, Acquity UPLC system (Waters, USA), which consists of a solvent degasser, a binary pump, an auto-sampler and a column oven; column, Acquity UPLC BEH C18 RP column (1.7 μm, 100 mm × 2.1 mm i.d.; Waters, USA); mobile phase A, 0.1% formic acid in water; mobile phase B, 100% acetonitrile; flow rate, 0.3 mL/min; wavelengths, 210 nm for ginsenoside Rb1, 254 nm for ordionin and 280 nm for naringin; injection volume, 10 μL; MS/MS detector, Acquity Synapt G2 Q-TOF tandem mass spectrometer connected to the UPLC system by an ESI interface and controlled by MassLynx version 4.1 (Waters, UK). Samples were analyzed in the positive model. Data were collected and analyzed by Waters MassLynx version 4.1.

Trial oversight

This randomized and controlled trial was conducted in the outpatient clinics of Shuguang Hospital and Shanghai TCM-Integrated Hospital affiliated to Shanghai University of Traditional Chinese Medicine. All subjects (patients and health volunteers) provided written informed consent before enrollment. The trial was approved by the institutional review board at Shuguang Hospital and was conducted in accordance with the provisions of the Declaration of Helsinki and the CONSORT guidelines. An independent data and safety monitoring board reviewed the progress of the trial.

The study protocol, which describes the study in more detail, can be found in the clinical trial registry (https://register.clinicaltrials.gov) with the identifier NCT03814629. The study was approved by the Ethics Committees of Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine (No. 2016-478-29-01). Recruitment and data collection occurred between October 2015 and September 2017. Patients with a previous histological diagnosis of CAG with or without IM/dysplasia were selected as potential subjects. Health volunteers were those never had stomach trouble and other serious diseases. The trial was not registered until all the patients had been enrolled because registration was not mandated after the trial had started.

Participants and eligibility criteria

Only those who fulfilled the diagnosis of both CAG and IM or dysplasia according to diagnosis criteria [15] and H. pylori(-) were considered eligible subjects, male or female, between 18 and 70 years. Participants with H. pylori positive infection without radical treatment, peptic ulcer or severe dysplasia (suspected malignant transformation), severe systemic diseases such as cardiovascular and cerebrovascular disease, hepatic diseases, kidney or lung disease, or with other tumors, were excluded. Participants were excluded if they had an allergic constitution or allergies to any known ingredients in WFC. Finally, patients with other diseases interfering with the study or patients unwilling to undergo repeated endoscopy after treatment were also not included.

The TCM standard for diagnosing syndromes was worked out with reference to the standard for diagnosing the type of spleen and stomach deficiency in the guidelines of diagnosing and treating CAG. Major symptoms were stomach pain or discomfort or stomach symptoms remission after warm or press operation. Minor symptoms included: (1) anorexia; (2) loose stools; (3) physical and mental fatigue; (4) shortness of breath and lazy speech; (5) stomach distention after eating; (6) belching; (7) chest distress; (8) stomach pain and fear of being pressed; and (9) light-colored tongue with small and wiry pulse. Patients with one of the major symptoms and two or more minor symptoms were diagnosed as suffering from the syndrome of spleen and stomach deficiency.

Trial design and treatment

Before endoscopy, patients were randomly assigned in a 1:1 ratio to receive either WFC therapy or vitacoenzyme. Computer-generated randomization was performed in a blinded manner, with status concealed from all the patients and the primary physician, endoscopist, pathologist, and statistician. After randomization, endoscopy was performed. The patients started the assigned trail medication within 1 week after endoscopy.

Each subject received either WFC tablets (1.44 g) (Hangzhou huqingyutang pharmaceutical co. LTD. Hangzhou, China, lot number 16066129) or vitacoenzyme tablets (0.8 g) (Beihai sunshine pharmaceutical co. LTD, Guangxi, China, lot number 102029), taken orally after meal 3 times a day for 6 months. Before randomization, H. pylori status was determined by rapid urease test (RUT) or by pathology. Positive subjects received standard eradication therapy. H. pylori status was re-evaluated at the end of the 6th month. If required, the status would be re-evaluated by 13C-urea breath test at 4 weeks after the cessation of therapy.

Screening measures

The demographics of participants were collected, including age, gender, course of disease, and current and past gastric disease treatment. The histologic diagnosis and grading were made according to the updated Sydney system [16].

Histological scores

The criteria to evaluate the histopathology were made according to the updated Sydney system [16]. Each gastric tissue was evaluated separately for the following items: chronic inflammation (CI), acute inflammation (AI), atrophy, IM, and dysplasia. Atrophy was defined as loss of glands and graded as absent (0), mild (1), moderate (2), or severe (3). IM was graded as absent (0), mild (1), moderate (2), or severe (3) according to the proportion of the gastric mucosa replaced by the metaplastic tissue. Presence and severity of dysplasia defined by atypical cytological and architectural derangement, subcategory of mild (1), moderate (2), and severe (3) grade adhered to the diagnosis for gastric neoplasia.

High-throughput sequencing

Total DNA was extracted using the QIAamp DNA Stool Mini Kit. All extractions yielding > 2 ng/μ of total DNA, as indicated by NanoDrop 2000 UV–Vis Spectrophotometer measuring. Each DNA sample was amplified for the V3 region of 16S rRNA gene and libraries were sequenced in a single run of the Illumina MiSeq sequencing platform at NovelBio Biomedical technology Co.,LTD.

OTU clustering

Bacterial 16S rRNA reads were analyzed using the Quantitative Insights into Microbial Ecology(QIIME) software package [17]. Operational taxonomic units(OUT) were created by single-linkage clustering the reads using Swarm [18] and removing OTUs comprised of only a single or pair of reads. Representative sequences from each OUT were aligned using the PyNAST aligner [19]. All OTUs were tested for correlations between the proportional abundance of OUT and the post-PCR amplicon concentration of a sample according to the methods listed elsewhere [20].

Statistical analysis

According the clinical report and previous research results [9, 21], we calculated the sample size of 35 patients in each group of the trial population. We allowed for a 15% initial dropout rate, and a further 10% loss to follow-up, resulting in the enrollment of 47 patients in each group. An interim analysis was not planned.

The statistical analyses were performed by using IBM SPSS Statistics 21.0. Data were expressed as mean ± standard or median (range) for continuous variables, and frequencies (percentages) for categorical variables. Student's t-test or Mann–Whitney test or Chi square test was used to compare baselines including demographic data and basic evaluating variables. For comparison of variations from baseline to endpoint, paired t-test was performed on variables with normal distributions, and wilcoxon signed-ranks test on non-normal variables. ANOVA test was used to compare microbial abundances between groups. Also, Chi-square test or Fisher's exact test was used for atrophy and intestinal metaplasia disappearance rate and symptom disappearance rate. All statistical tests were two-sided and assumed to be statistically significant at a level of P < 0.05.

Results

Naringin, ginsenoside Rb1, and oridonin contents in the WFC formula

Naringin, ginsenoside Rb1, and oridonin are the major constituents of aqueous extract of Radix Ginseng Rubra, Fructus aurantii, and Isodon amethystoides, respectively. The mass-to charge ratios (m/z) 581.1870, 1109.6107 in positive model for naringin and ginsenoside Rb1, and 363.1826 in negative model for oridonin, were observed in the peaks, confirming that they were protonated forms of naringin, ginsenoside Rb1, and oridonin, respectively.

Baseline characteristics of participants

Of the 87 patients who were screened, a total of 79 patients underwent randomization (Fig. 1). Of these patients, 70 were included in the intention-to-treat population (36 in the WFC treatment group and 34 in the vitacoenzyme group) after the exclusion of 9 patients, including 3 who underwent additional surgery after endoscopic resection, and 4 who did not receive assigned treatment, and 2 who did not meet other eligibility requirements. Demographics (age, gender and course of disease), histopathology (histological score) and clinical symptom (aggregate score) were similar in the two groups (Table 1). We included 60 patients who had undergone gastroscopy at 6-month follow-up in the histologic analysis.

Fig. 1
figure 1

Enrollment, Randomization, and Follow-up. Improvement from baseline in the grade of histopathology detected on gastroscopy at the 6-month follow-up was evaluated in the intention-to treat population. Only patients with gastric tissue specimens obtained at the 6-month follow-up were included in the histologic analysis

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Table 1 Baseline characteristics of participants (n = 60)
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Histology and clinical symptom

After treatment, the results of gastroscopy and histopathology improved both in the WFC group and in the vitacoenzyme group (Vit group), especially with regard to atrophy and IM (Fig. 2A–C). A large number of neat glands, less IM, reduced intercellular congestion edema and inflammatory cell infiltration was observed in histopathological findings in WFC group compared with the Vit group (Fig. 2B). The total change value of pathology aggregate score in WFC group remarkably increased compared with the Vit group (Fig. 2C). Patients with gastric mucosal atrophy or with IM in mild grade or moderate grade were the majority before treatment. But after treatment, patients with non-gastritis (normal) grade or mild grade in the WFC group were more than those in the Vit group, suggesting that WFC could improve atrophy and IM. The total effective rate for alleviating atrophy degree was 80% in the WFC group and 23.33% in the Vit group, respectively. And the total effective rate for alleviating IM degree was 73.33% in the WFC group and 26.67% in the Vit group, respectively (total effective rate of alleviating the atrophy and IM degree = the alleviated atrophy and IM degree/ total cases × 100%) (shown in Tables 2 and 3).

Fig. 2
figure 2

Histopathological Variation. A Endoscope variation. B Pathological staining in HE. C Pathological evaluation. WFC, Weifuchun Group; Vit, vitacoenzyme Group

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Table 2 Comparison of gastric mucosal atrophy level
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Table 3 Comparison of gastric mucosal intestinal metaplasia level
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As shown in Table 4, effective rate of alleviating clinical symptom in the WFC group (86.67%) was higher than in the Vit group (23.33%) (total effective rate for alleviating clinical symptom = (total clinical symptom score before treatment-total clinical symptom score after treatment)/before treatment × 100%), indicating that WFC could dramatically improve clinical symptoms.

Table 4 Comparison of clinical symptom cumulative score
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The taxonomic composition of intestinal microbiome

Sixty-six feces samples from all participants (28 samples from patients before and after treatment with WFC, 28 samples from patients before and after treatment with Vit drug, and 10 samples from healthy volunteers) were collected and sequenced the variable region V3 of the 16SrRNA using the Illumina MiSeq platform. A total 6,122,474 sequences ranging from 86,389 to 102,665 sequences per sample (mean = 92,764.758; median = 92,591) were obtained after quality control analyses. From these data, we identified a total of 62,453 OTUs.

The intestinal microbiomes across all 66 samples included sequences that corresponded to 3 dominant (> 1.00%) Phyla: Firmicutes(52.74%), Bacteroidetes (39.10%) and Proteobacteria (6.44%). These Phyla comprised 7 dominant (> 1.00%) class and 19 dominant (> 1.00%) genera. Top 6 dominant (> 3.00%) genera were Bacteroides (24.51%), Lachnospiraceae (unclassified) (15.87%), Faecalibacterium (6.25%), Prevotella 9(6.07%), Lachnoclostridium (3.37%), and Parabacteroides(3.00%). The mean relative proportion of dominant (> 1%) phyla, class and genera in the five groups were shown in Fig. 3. All these genera are commonly found in the feces of individuals with and without PLGC, although in different proportions [22,23,24,25,26].

Fig. 3
figure 3

Microbial profiles (mean relative proportion) of most abundant (> 1%) phyla, class and genera by comparison for groups. Health: healthy volunteers; WFCB: PLGC patients before treatment with WFC; WFCA: PLGC patients after treatment with WFC; VitB: PLGC patients before treatment with vitacoenzyme; VitA: PLGC patients after treatment with vitacoenzyme

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A variable number of OTUs from these 19 dominant (> 1.00%) genera were included in the core microbiome, which could comprise the stable and consistent members and associations in the whole community [27, 28]. The least stringent definition of the core (presence in at least 50% of the samples) identified 127 OTUs of commensal and pathogenic bacteria; while a more stringent definition (presence in at least 95% of the samples) included 8 OTUs of the following genera: Bacteroides, Lachnospiraceae (unclassified), Faecalibacterium, Lachnoclostridium, Parabacteroides, Streptococcus, Escherichia-Shigella, and Lachnospiraceae. Pathogenic representatives from Bacteroides, Lachnospiracea, Faecalibacterium, Lachnoclostridium and Streptococcus genera have been consistently associated to gastric cancer [29,30,31,32]. Unlike the above 5 dominant genera, Parabacteroides could be more related to the gastric and intestinal disease such as dyspepsia [33], and Escherichia-Shigella and Lachnospiraceae NK4A136 group were involved in gastrointestinal inflammation and immunity [34, 35].

Univariate, receiver operating characteristics (ROC) curve

As shown in Fig. 4, microbial abundances of all the eight dominant bacterial genera was compared between various groups based on the ANOVA, and between WFCB vs WFCA and VitB vs VitA by the paried t-test. All candidates, except for Parabacteroides, were not significantly different between groups. Compared with Health group, the relative abundance of Parabacteroides was significantly higher in WFCB group. On the other side, abundance of Parabacteroides declined observably in WFCA group. This decrease was not observed in the Vit group. The arithmetic mean ± standard deviation of the relative abundance (raw count number reads) were 0.76 ± 0.76 (14729.04 ± 14767.28) for Health group, 1.86 ± 1.01(35775.48 ± 20532.81) for WFCB group and 0.98 ± 0.79 (19062.95 ± 15363.4) for WFCA group. 8 candidate genera were selected to analyze ability to assess PLGC using ROC curve. The results were shown in the Fig. 5 and in Table 5. The area under the curve (AUC) was > 0.7 and p value < 0.05 only for Parabacteroides (AUC=0.7714,p value=0.026). The other 7 candidate genera were all < 0.7 in AUC, suggesting that Parabacteroides may be an important candidate in the assessment of PLGC development and the therapeutic effect of WFC on PLGC.

Fig. 4
figure 4

Comparisons for bacterial abundance. Bacterial relative abundance differences were observed for 8 core genera in each group. TSS: Total -sum normalization. *, p < 0.05

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Fig. 5
figure 5

Receiver operating curve analysis for selected microbial biomarker of PLGC. 8 selected microbial biomarkers of PLGC were tested by ROC analysis

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Table 5 The best cut off points for selected microbial candidates of PLGC
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Discussion

Gastric cancer develops through a multistep process triggered by H. pylori and progression from superficial gastritis to atrophic gastritis, IM, and dysplasia [36]. Atrophy, IM or dysplasia is considered as PLGC and require accurate surveillance programs. PLGC belong to the “stomach distension” and “epigastralgia” category in traditional Chinese medicine. WFC is a clinical effective prescription for body discomfort including distension and fullness of the stomach, belching and poor appetite, constipation or diarrhea, lassitude and weakness, dizziness and emaciation, sallow complexion. In this study, the results showed that WFC could significantly improve clinical symptoms and gastric mucosa pathology, especially atrophy and IM.

The etiology of H. pylori-positive has been well described over the past few decades [37], but H. pylori eradication cannot completely eliminate the recurrence risk of gastric cancer [38], suggesting there is another factor affecting the progression of gastric cancer. It has been reported that the alternations of fecal microbiota involved in the process of H. pylori-related gastric lesion progression [39]. Resident microbes can induce inflammation, leading to cell proliferation and altered stem cell dynamics, which can lead to alternations in DNA integrity and immune regulation and promote carcinogenesis [40]. In this study, we observed gut microbes alternation in PLGC population with H. pylori negative and the effect of WFC on this population. The result found that 8 types of microbes may dominate the bacterial community of PLGC at genus level. Further analysis found that only the abundance of Parabacteroides was significantly different in Health group vs WFCB group and in WFCB group vs WFCA group. AUC was > 0.7 for Parabacteroides in ROC analysis which could effectively distinguish PLGC patients from healthy individuals, with sensitivity of 0.79 and specificity of 0.8, suggesting the importance of Parabacteroides in PLGC occurrence.

Parabacteroides genera belong to the Bacteroidetes phyla and the Porphyromonadaceae family. Among the gut Parabacteroides, Parabacteroides Distasonis (P. distasonis) is defined as one of the 18 core members in the gut microbiota of humans and thought to have important physiological functions in hosts [41]. Results from animal studies proved the protective role of P. distasonis in colonic tumorigenesis and maintenance of intestinal epithelial barrier in AOM-treated mice [42]. A study from 736 American Gut Project sample found that the abundance of P. distasonis is relatively lower in patients with obesity, inflammatory bowel diseases, nonalcoholic fatty liver, and multiple sclerosis [43,44,45]. However, some studies found the relative abundance of Parabacteroides are increased in heart diseases [46], leukemia [47, 48] and early hepatocellular carcinoma [49]. The phenotype of cancer cachexia is associated with increased levels of Parabacteroides [50]. The studies suggested Parabacteroides may perform many biological functions in the human body.

Recent evidence from in vivo and vitro confirmed that P. distasonis possessed a strong ability to transform primary bile acids into secondary bile acids and enhancing the level of succinate in the gut [26, 51]. The gut microbiota and the bile acid pool played pivotal roles in maintaining intestinal homeostasis. Interplay between bile acid and the gut microbiota promoted gastrointestinal carcinogenesis [52]. It was also reported that bacterial metabolites, including secondary bile acid, had the potential to cause direct DNA damage or to provoke inflammation, which in turn promoted carcinogenesis [53]. Bile acids could promote gastric IM by upregulating CDX2 and MUC2 expression via the FXR/NF-kB signaling pathway [54]. Succinate, the intermediates of the mitochondrial pathway known as the Krebs cycle, had extensive evidence for “non-metabolic” signaling functions or metabolic reprogramming leading to altered immune cell and transformed cell function in the initiation of carcinogenesis [55, 56]. Additionally, Parabacteroides in the gut could use type VI secretion systems (T6SSs) to antagonize symbiotic gut E. coli, facilitating colonization and cancer progression [57]. To sum up, Parabacteroides are multifunctional bacteria in the human gut and have the potential capacity to promote gastric carcinogenesis. In our study, the relative abundance of Parabacteroides in PLGC group was significantly high before treatment with WFC. In contrast, a decreased abundance of Parabacteroides was observed in PLGC group after treatment with WFC. The effect of WFC on gut Parabacteroides corresponded with the results of gastric histology in PLGC. Accumulating data suggested that gut microbiota had a role in the etiology of several types of cancer, including gastric cancer. However, data about intestinal microbiota correlation with PLGC were not enough. Further studies on the alteration of intestinal flora in PLGC development are needed. It has been reported that Parabacteroides play a predominant role in anti-obesity effects [58], but short of evidence for its effects on gastric cancer. Our research explore the relationship between PLGC pathology variation and Parabacteroides in clinical trial, which maybe reveal a novel and potential mechanism and will provide help for further studies regarding the mechanisms of action of WFC on chronic gastric disease. In our previous research, we found that WFC could improve histopathological changes of gastric mucosa of PLGC in rats induced by N-methyl-N'-nitro-N-nitrosoguanidine partly by inhibiting MAPK signaling pathway to increase pepsin secretion [12]. In this study, the results suggested that WFC could inhibit inflammation of gastric mucosa by regulating the abundance of gut microbiota. But further studies are needed to investigate causal relationships between WFC and intestinal flora in PLGC. The study had few limitations including the limited sample size, especially for collected feces for intestinal flora. Larger sample sizes are needed in order to confirm the role of Parabacteroides in the development of PLGC.

Conclusions

This study suggested WFC slowed down PLGC, which could be related to Parabacteroides abundance variation. The results will help elucidate the effects of WFC on PLGC and provide a treatment method for PLGC.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding authors on reasonable request.

Abbreviations

PLGC:

Precancerous lesions of gastric cancer

WFC:

Weifuchun

CAG:

Chronic atrophic gastritis

GPL:

Gastric precancerous lesions

IM:

Intestinal metaplasia

CI:

Chronic inflammation

AI:

Acute inflammation

CFDA:

China food and drug administration

Health:

Healthy volunteers

WFCB:

Patients before treatment with WFC

WFCA:

Patients after treatment with WFC

VitB:

Patients before treatment with vitacoenzyme

VitA:

Patients after treatment with vitacoenzyme

OTUs:

Operational taxonomic units

References

  1. Torre LA, Bray F, Siegel RL, et al. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108.

    PubMed  Google Scholar 

  2. Wang W, Sun Z, Deng JY, et al. A novel nomogram individually predicting disease-specific survival after D2 gastrectomy for advanced gastric cancer. Cancer Commun (Lond). 2018;38(1):23.

    Google Scholar 

  3. Chen J, Domingue JC, Sears CL. Microbiota dysbiosis in select human cancers: evidence of association and causality. Semin Immunol. 2017;32:25–34.

    PubMed  PubMed Central  CAS  Google Scholar 

  4. Wong SH, Kwong T, Wu CY, et al. Clinical applications of gut microbiota in cancer biology. Semin Cancer Biol. 2019;55:28–36.

    PubMed  CAS  Google Scholar 

  5. Zhang J, Wang H. Morroniside protects against chronic atrophic gastritis in rat via inhibiting inflammation and apoptosis. Am J Transl Res. 2019;11(9):6016–23.

    PubMed  PubMed Central  CAS  Google Scholar 

  6. Peng L, Xie YF, Wang CG, et al. Moxibustion alleviates gastric precancerous lesions in rats by promoting cell apoptosis and inhibiting proliferation-related oncogenes. Afr J Tradit Complement Altern Med. 2017;14(2):148–60.

    PubMed  PubMed Central  Google Scholar 

  7. Zeng JH, Pan HF, Liu YZ, et al. Effects of Weipixiao (胃痞消) on Wnt pathway-associated proteins in gastric mucosal epithelial cells from rats with gastric precancerous lesions. Chin J Integr Med. 2016;22(4):267–75.

    PubMed  CAS  Google Scholar 

  8. Chen X, Zhao YH, Zhang YQ, Ye G, Sun MY. Clinical applications and modern research progress of Weifuchun. Jiangxi Traditional Chin Med. 2016;47:77–80 (In Chinese).

    Google Scholar 

  9. Li HZ, Wang H, Wang GQ, et al. Treatment of gastric precancerous lesions with Weiansan. World J Gastroenterol. 2006;12(33):5389–92.

    PubMed  PubMed Central  Google Scholar 

  10. Li Y, Xu JK, Uu XR. Clinical and pathological study of weiyan serial recipes in the treatment of gastric precancerous lesions. Zhongguo Zhong Xi Yi Jie He Za Zhi. 2011;31(12):1635–48.

    PubMed  Google Scholar 

  11. Huang X, Lu B, Zhang S, et al. Effect of Weifuchun on inhibiting inflammation of Helicobacter pylori-infected GES-1 cells and NF-kappaB signaling pathway. Zhongguo Zhong Xi Yi Jie He Za Zhi. 2014;34(4):450–4.

    PubMed  Google Scholar 

  12. Wang H, Wu R, Xie D, et al. A combined phytochemistry and network pharmacology approach to reveal the effective substances and mechanisms of Wei-Fu-Chun tablet in the treatment of precancerous lesions of gastric cancer. Front Pharmacol. 2020;11:558471.

    PubMed  PubMed Central  CAS  Google Scholar 

  13. Chen W, Chen WJ, Yang MH. Effect of Wei Fuchun table on gastrointestinal function in functional dyspesia rats. Chin J Modern Appl Pharm. 2019;36:829–32 (In Chinese).

    Google Scholar 

  14. Xu HB, Chen QE, Chen CJ. Effect of matrine combined with Weifuchen tablets on gastric acid secrection in patients with chronic atrophic gastritis. World Chin J Digestol. 2017;25:2139–43 (In Chinese).

    Google Scholar 

  15. Dinis-Ribeiro M, Areia M, de Vries AC, et al. Management of precancerous conditions and lesions in the stomach (MAPS): guideline from the European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter Study Group (EHSG), European Society of Pathology (ESP), and the Sociedade Portuguesa de Endoscopia Digestiva (SPED). Endoscopy. 2012;44(1):74–94.

    PubMed  CAS  Google Scholar 

  16. Dixon MF, Genta RM, Yardley JH, et al. Classification and grading of gastritis. The updated Sydney System. International Workshop on the Histopathology of Gastritis, Houston 1994. Am J Surg Pathol. 1996;20(10):1161–81.

    CAS  PubMed  Google Scholar 

  17. Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335–6.

    PubMed  PubMed Central  CAS  Google Scholar 

  18. Mahe F, Rognes T, Quince C, et al. Swarm: robust and fast clustering method for amplicon-based studies. PeerJ. 2014;2:e593.

    PubMed  PubMed Central  Google Scholar 

  19. Caporaso JG, Bittinger K, Bushman FD, et al. PyNAST: a flexible tool for aligning sequences to a template alignment. Bioinformatics. 2010;26(2):266–7.

    PubMed  CAS  Google Scholar 

  20. Hansen MEB, Rubel MA, Bailey AG, et al. Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana. Genome Biol. 2019;20(1):16.

    PubMed  PubMed Central  Google Scholar 

  21. Deng X, Liu ZW, Wu FS, et al. A clinical study of weining granules in the treatment of gastric precancerous lesions. J Tradit Chin Med. 2012;32(2):164–72.

    PubMed  Google Scholar 

  22. Sitkin S, Pokrotnieks J. Gut microbiota as a host defender and a foe: the 2 faces of commensal bacteroides thetaiotaomicron in inflammatory bowel disease. Inflamm Bowel Dis. 2019;25(6):e71.

    PubMed  Google Scholar 

  23. Lopez-Siles M, Duncan SH, Garcia-Gil LJ, et al. Faecalibacterium prausnitzii: from microbiology to diagnostics and prognostics. Isme J. 2017;11(4):841–52.

    PubMed  PubMed Central  Google Scholar 

  24. Ley RE. Gut microbiota in 2015: prevotella in the gut: choose carefully. Nat Rev Gastroenterol Hepatol. 2016;13(2):69–70.

    PubMed  CAS  Google Scholar 

  25. Youssef O, Lahti L, Kokkola A, Karla T, Tikkanen M, Ehsan H, et al. Stool microbiota composition differs in patients with stomach, colon, and rectal neoplasms. Dig Dis Sci. 2018;63(11):2950–8.

    PubMed  PubMed Central  Google Scholar 

  26. Wang K, Liao M, Zhou N, Bao L, Ma K, Zheng Z, et al. Parabacteroides distasonis alleviates obesity and metabolic dysfunctions via production of succinate and secondary bile acids. Cell Rep. 2019;26(1):222–35.

    PubMed  CAS  Google Scholar 

  27. Bäckhed F, Fraser CM, Ringel Y, Sanders ME, Sartor RB, Sherman PM, et al. Defining a healthy human gut microbiome: current concepts, future directions, and clinical applications. Cell Host Microbe. 2012;12(5):611–22.

    PubMed  Google Scholar 

  28. Shade A, Handelsman J. Beyond the Venn diagram: the hunt for a core microbiome. Environ Microbiol. 2012;14(1):4–12.

    PubMed  CAS  Google Scholar 

  29. Liu X, Shao L, Liu X, Ji F, Mei Y, Cheng Y, et al. Alterations of gastric mucosal microbiota across different stomach microhabitats in a cohort of 276 patients with gastric cancer. EBioMedicine. 2019;40:336–48.

    PubMed  Google Scholar 

  30. He C, Peng C, Wang H, Ouyang Y, Zhu Z, Shu X, et al. The eradication of Helicobacter pylori restores rather than disturbs the gastrointestinal microbiota in asymptomatic young adults. Helicobacter. 2019;24(4):e12590.

    PubMed  Google Scholar 

  31. Gantuya B, El-Serag HB, Matsumoto T, Ajami NJ, Oyuntsetseg K, Azzaya D, et al. Gastric microbiota in Helicobacter pylori-Negative and -Positive gastritis among high incidence of gastric cancer area. Cancers (Basel). 2019;11(4):504.

    CAS  Google Scholar 

  32. Qi YF, Sun JN, Ren LF, Cao XL, Dong JH, Tao K, et al. Intestinal microbiota is altered in patients with gastric cancer from Shanxi province, China. Dig Dis Sci. 2019;64(5):1193–203.

    PubMed  CAS  Google Scholar 

  33. Gao B, Wang R, Peng Y, Li X. Effects of a homogeneous polysaccharide from Sijunzi decoction on human intestinal microbes and short chain fatty acids in vitro. J Ethnopharmacol. 2018;224:465–73.

    PubMed  CAS  Google Scholar 

  34. Li M, Bai Y, Zhou J, Huang W, Yan J, Tao J, et al. Core fucosylation of maternal milk N-Glycan evokes b cell activation by selectively promoting the l-Fucose metabolism of gut Bifidobacterium spp. and Lactobacillus spp. MBio. 2019. https://doi.org/10.1128/mBio.00128-19.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Bashir M, Prietl B, Tauschmann M, Mautner SI, Kump PK, Treiber G, et al. Effects of high doses of vitamin D3 on mucosa-associated gut microbiome vary between regions of the human gastrointestinal tract. Eur J Nutr. 2016;55(4):1479–89.

    PubMed  CAS  Google Scholar 

  36. Nardone G, Rocco A, Malfertheiner P. Review article: Helicobacter pylori and molecular events in precancerous gastric lesions. Aliment Pharmacol Ther. 2004;20(3):261–70.

    PubMed  CAS  Google Scholar 

  37. Cadamuro Cadamuro AC, Rossi AF, Maniezzo NM, Silva AE. Helicobacter pylori infection: host immune response, implications on gene expression and microRNAs. World J Gastroenterol. 2014;20(6):1424–37.

    PubMed  Google Scholar 

  38. Choi IJ, Kook MC, Kim YI, Cho SJ, Lee JY, Kim CG, et al. Helicobacter pylori therapy for the prevention of metachronous gastric cancer. N Engl J Med. 2018;378(12):1085–95.

    PubMed  CAS  Google Scholar 

  39. Gao JJ, Zhang Y, Gerhard M, Mejias-Luque R, Zhang L, Vieth M, et al. Association between gut microbiota and Helicobacter pylori-Related gastric lesions in a High-Risk population of gastric cancer. Front Cell Infect Microbiol. 2018;8:202.

    PubMed  PubMed Central  Google Scholar 

  40. Wroblewski LE, Peek RJ, Coburn LA. The role of the microbiome in gastrointestinal cancer. Gastroenterol Clin North Am. 2016;45(3):543–56.

    PubMed  PubMed Central  Google Scholar 

  41. Falony G, Joossens M, Vieira-Silva S, Wang J, Darzi Y, Faust K, et al. Population-level analysis of gut microbiome variation. Science. 2016;352(6285):560–4.

    PubMed  CAS  Google Scholar 

  42. Koh GY, Kane AV, Wu X, Crott JW. Parabacteroides distasonis attenuates tumorigenesis, modulates inflammatory markers and promotes intestinal barrier integrity in azoxymethane-treated A/J mice. Carcinogenesis. 2020;41(7):909–17.

    PubMed  CAS  Google Scholar 

  43. Cekanaviciute E, Yoo BB, Runia TF, Debelius JW, Singh S, Nelson CA, et al. Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models. Proc Natl Acad Sci U S A. 2017;114(40):10713–8.

    PubMed  PubMed Central  CAS  Google Scholar 

  44. Del CF, Nobili V, Vernocchi P, Russo A, De Stefanis C, Gnani D, et al. Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta-omics-based approach. Hepatology. 2017;65(2):451–64.

    Google Scholar 

  45. Verdam FJ, Fuentes S, de Jonge C, Zoetendal EG, Erbil R, Greve JW, et al. Human intestinal microbiota composition is associated with local and systemic inflammation in obesity. Obesity (Silver Spring). 2013;21(12):E607–15.

    CAS  Google Scholar 

  46. Liu Z, Ma Z, Zhang H, et al. Ferulic acid increases intestinal Lactobacillus and improves cardiac function in TAC mice. Biomed Pharmacother. 2019;120:109482.

    PubMed  CAS  Google Scholar 

  47. Bindels LB, Neyrinck AM, Claus SP, et al. Synbiotic approach restores intestinal homeostasis and prolongs survival in leukaemic mice with cachexia. ISME J. 2016;10(6):1456–70.

    PubMed  CAS  Google Scholar 

  48. Bindels LB, Beck R, Schakman O, et al. Restoring specific lactobacilli levels decreases inflammation and muscle atrophy markers in an acute leukemia mouse model. PLoS ONE. 2012;7(6):e37971.

    PubMed  PubMed Central  CAS  Google Scholar 

  49. Ren Z, Li A, Jiang J, et al. Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma. Gut. 2019;68(6):1014–23.

    PubMed  CAS  Google Scholar 

  50. Herremans KM, Riner AN, Cameron ME, et al. The microbiota and cancer cachexia. Int J Mol Sci. 2019;20(24):6267.

    PubMed Central  CAS  Google Scholar 

  51. Ridlon JM, Devendran S, Alves JM, Doden H, Wolf PG, Pereira GV, et al. The “in vivo lifestyle” of bile acid 7α-dehydroxylating bacteria: comparative genomics, metatranscriptomic, and bile acid metabolomics analysis of a defined microbial community in gnotobiotic mice. Gut Microbes. 2020;11(3):381–404.

    PubMed  Google Scholar 

  52. Wang S, Dong W, Liu L, Xu M, Wang Y, Liu T, et al. Interplay between bile acids and the gut microbiota promotes intestinal carcinogenesis. Mol Carcinog. 2019;58(7):1155–67.

    PubMed  PubMed Central  CAS  Google Scholar 

  53. Louis P, Hold GL, Flint HJ. The gut microbiota, bacterial metabolites and colorectal cancer. Nat Rev Microbiol. 2014;12(10):661–72.

    PubMed  CAS  Google Scholar 

  54. Yu JH, Zheng JB, Qi J, Yang K, Wu YH, Wang K, et al. Bile acids promote gastric intestinal metaplasia by upregulating CDX2 and MUC2 expression via the FXR/NF-κB signalling pathway. Int J Oncol. 2019;54(3):879–92.

    PubMed  PubMed Central  CAS  Google Scholar 

  55. Ryan DG, Murphy MP, Frezza C, Prag HA, Chouchani ET, O’Neill LA, et al. Coupling Krebs cycle metabolites to signalling in immunity and cancer. Nat Metab. 2019;1:16–33.

    PubMed  PubMed Central  CAS  Google Scholar 

  56. Sajnani K, Islam F, Smith RA, Gopalan V, Lam AK. Genetic alterations in Krebs cycle and its impact on cancer pathogenesis. Biochimie. 2017;135:164–72.

    PubMed  CAS  Google Scholar 

  57. Coyne MJ, Comstock LE. Type VI secretion systems and the gut microbiota. Microbiol Spectr. 2019;7(2). https://doi.org/10.1128/microbiolspec.PSIB-0009-2018.

    Article  PubMed  Google Scholar 

  58. Wu TR, Lin CS, Chang CJ, et al. Gut commensal Parabacteroides goldsteinii plays a predominant role in the anti-obesity effects of polysaccharides isolated from Hirsutella sinensis. Gut. 2019;68(2):248–62.

    PubMed  CAS  Google Scholar 

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Acknowledgements

We gratefully acknowledge Dr. Zhang and Dr. Guo from NovelBio Biomedical technology Co.,LTD, who provided us much technical help.

Funding

This work was supported by the major Project of Shanghai Municipal Science and Technology Commission (No. 15DZ1900104, 19401972300); The fourth batch of outstanding TCM talents of the State Administration of Traditional Chinese Medicine(2017-124); Innovation course of Postgraduate students in Shanghai University of Traditional Chinese Medicine (2017); Outstanding TCM talents of Shanghai University of Traditional Chinese Medicine (2020); Outstanding TCM reserve talents of Shanghai University of Traditional Chinese Medicine (2020);Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Key Disciplines of Liver and Gall Bladder Diseases and Key Laboratory of Chronic Deficiency Liver Disease of State Administration of Traditional Chinese Medicine of the People’s Republic of China. The study authors were independent of the funder. The funding sources had no involvement in the study.

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Author notes

  1. Yanqin Bian and Xi Chen contributed equally to this work

Authors and Affiliations

  1. Key Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Pudong New District, Shanghai, 201203, China

    Yanqin Bian, Xi Chen, Dong Xie, Nong Yuan, Lu Lu, Bingjie Lu, Chao Wu, Nisma Lena Bahaji Azami, Zheng Wang & Mingyu Sun

  2. Arthritis Institute of Integrated Traditional Chinese and Western Medicine, Shanghai Academy of Traditional Chinese Medicine, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China

    Yanqin Bian

  3. Department of Infectious Disease and Gastroenterology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200080, China

    Xi Chen & Hongyan Cao

  4. Department of Gastroenterology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China

    Meiping Zhu

  5. Central Research Institute, Shanghai Pharmaceuticals Holding Co., Ltd., Building 4, No. 898, Halei Road, Pudong New Area, Shanghai, 201203, China

    Huijun Wang, Yeqing Zhang, Kun Li & Guan Ye

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  1. Yanqin Bian
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Contributions

YB, XC, GY and MS conceived and designed the clinical trial; YB and XC wrote the paper; MS, MZ and NY recruited patients; XC, HC, DX, BL, LL and CW collected the samples; YB, XC, HC and ZW analyzed clinical data; HW and YZ finished the drug quality and quantity analyses; NLBA helped proofread the manuscript; GY and MS critically revised the paper for important intellectual content and gave final approval for publication of the paper. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Guan Ye or Mingyu Sun.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics Committees of Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine (No. 2016-478-29-01) and performed in accordance with the Declaration of Helsinki. All patients were fully informed of the study and informed consent were obtained from all patients.

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Not applicable.

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The authors declare that they have no competing interests.

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Bian, Y., Chen, X., Cao, H. et al. A correlational study of Weifuchun and its clinical effect on intestinal flora in precancerous lesions of gastric cancer. Chin Med 16, 120 (2021). https://doi.org/10.1186/s13020-021-00529-9

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Keywords

Chinese Medicine

ISSN: 1749-8546

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