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Dynamic observation and analysis of metabolic response to moxibustion stimulation on ethanol-induced gastric mucosal lesions (GML) rats

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Abstract

Background

Gastric mucosal lesion (GML) is the initiating pathological process in many refractory gastric diseases. And moxibustion is an increasingly popular alternative therapy that prevents and treats diseases. However, there are few published reports about developing pathology of GML and therapeutic mechanism of moxibustion treatment on GML. In this study, we investigated pathology of GML and therapeutic mechanism of moxibustion treatment on GML.

Methods

The male Sprague-Dawley (SD) rats were induced by intragastric administration of 75% ethanol after fasting for 24 h and treated by moxibustion at Zusanli (ST36) and Liangmen (ST21) for 1 day, 4 days or 7 days. Then we applied 1H NMR-based metabolomics to dynamic analysis of metabolic profiles in biological samples (stomach, cerebral cortex and medulla). And the conventional histopathological examinations as well as metabolic pathways assays were also performed.

Results

Moxibustion intervention showed a beneficial effect on GML by modulating comprehensive metabolic alterations caused by GML, including energy metabolism, membrane metabolism, cellular active and neurotransmitters function.

Conclusions

Moxibustion can effectively treat gastric mucosal damage and effectively regulate the concentration of some related differential metabolites to maintain the stability of the metabolic pathway.

Background

Gastric mucosal lesions (GML), characterized by gastric mucosal inflammation, erosion and bleeding, is commonly caused by emotional stress, physical and chemical factors, microorganisms and other factors [1]. It is widely known that GML is the initial pathological of refractory intractable gastric diseases such as Chronic Gastric Ulcers (CGU), chronic atrophic gastritis (CAG) and gastric cancer [2,3,4]. In modern medicine, GML is mainly treated by proton pump inhibitor (PPI) combined with antibiotics or histamine 2-antagonist, or surgery including helicobacter pylori eradication [5]. Although these treatments make a considerable contribution to control of GML, they are not very satisfying because of their limited application in clinical, higher expensive cost, long-term treatment as well as some adverse effects. Recently, the traditional Chinese medicine (TCM) has accepted by more and more people as a complementary alternative and increasingly accepted by the general people because of their significant efficacy, lower costs and few side-effects.

Moxibustion, as the intrinsic part of TCM, exerts therapeutic effects mainly by the heat stimulating acupoints from moxa burning [6, 7]. Currently, several studies have showed a therapeutic effective of moxibustion on GML [8,9,10]. And our previous studies have proved that moxibustion on acupoints of Stomach Meridian can effectively regulate the expression of genes or proteins associated with the proliferation and apoptosis signaling in gastric mucosa rats with GML [11, 12]. But the limited targets and single time point lead to a part of information for us to understanding pathology of GML and mechanism of moxibustion treatment since the complexity and unpredictable ways in organisms respond to stimuli due to diseases or interventions. So, the time-related metabolic profiles in organisms are urgently needed to observe for a more complete picture.

Metabolomics is an emerging system biological approach after genomics and proteomics. NMR-based metabolomics can be used to identify metabolic reactions and potential biomarkers, it can analyse hundreds or even thousands of samples in a relatively short period of time with the help of an auto sample [13]. Meanwhile, metabolomics is a powerful approach for studying pathophysiological processes, and metabolomic analysis of human samples may shed light on the mechanisms of gastric mucosal and help identify potential therapeutic targets [14]. It can analysis changes of metabolic profiles caused by disease and other stimuli from a holistic view, which coincides exactly with the TCM theory [15]. Nuclear magnetic resonance (NMR) is one of the most commonly used platform in metabolomics studies for its advantages including low per-sample cost, non-invasive and nonselective analysis [16]. Many studies have revealed that the metabolism of amino acids, sugars and lipids in the body is disordered after gastric mucosal injury. Metabolic abnormalities are one of the key pathological aspects of gastric mucosal injury [17, 18]. Therefore, the overall regulation characteristics of acupuncture and moxibustion are in line with the technical advantages of metabolomics. The use of metabolomics to study acupuncture theory and its mechanism of action may become the common language for Chinese traditional medicine to become international. Currently, metabolomics was increasingly applied for therapeutic mechanisms of TCM including moxibustion [19, 20]. In this study, to a better understanding for therapeutic mechanism of moxibustion on GML rats, the time-related metabolic profiles of samples (stomach, cerebral cortex and medulla) in GML rats were analyzed by 1H NMR-based metabolomics.

Methods

Reagents and materials

Deuterium oxide (D2O) and sodium 3-trimethylsilyl-(2, 2, 3, 3-d4)-1-propionate (TSP) were purchased from Sigma-Aldrich (St, Louis, MI, USA). Trichloroacetaldehyde hydrate was purchased from Sinopharm Chemical Reagent Co., Ltd (Shanghai, China). Hematoxylin solution and eosin solution for histological stain were purchased from Beijing Leagene Biotechnology Co., Ltd (Beijing, China). Moxa cones were obtained from Nanyang Xian Cao Pharmaceuticals Co., Ltd (Nanyang, China). All other used chemicals were of analytical grade.

Animals

72 healthy male Sprague-Dawley (SD) rats (180–220 g) were used in this study. Animals were purchased from the experimental animal center of Wu (Permit Number: SCXK160803004). Animal care and experimental procedures used in this study were approved by the Animal Care and Use Committee of Xiamen University. The study was performed with the guidelines of National Institutes of Health for the Care and Use of Laboratory Animals. And the animals were euthanized after intervention.

Animal preparation and grouping

All animals were maintained in a controlled condition (22 ± 1 °C, relative humidity of 65 ± 5%, and 12-h light/dark cycle) with ad libitum to feed and water. After 1-week adaptation, all rats were randomly separated into four groups: (a) control group, (b) gastric mucosal lesions (GML) model group, (c) GML rats with moxibustion treatment on the stomach meridian of Foot-Yangming (SMFY) acupoints (MA group), and (d) GML rats with moxibustion on non-acupoints (MNA). All rats except for controls were randomly divided into three subgroups (n = 6, per subgroup). In the first subgroup, rats were executed at 1 day after treatment. As mentioned above, the rats from second and third subgroup was sacrificed at 4 days and 7 days, respectively. All rats except for controls were established GML modeling with alcohol given by gavage with 75% ethanol solution at 4 mL/kg after deprived of food for 24 h [21].

Moxibustion treatment

After GML modeling, Liangmen (ST 21) and Zusanli (ST 36) acupoints of rats in first, second and third subgroups were selected for MA stimulation for 1 day, 4 days and 7 days. And these two acupoints were located according to the Veterinary Acupuncture of China and Government Channel and Points Standard GB12346-90 of China. Corresponding non-acupoints were located 5 mm away from acupoints mentioned above. And these non-acupoints were neither related to stomach meridian nor overlap with other known acupoints.

For moxibustion treatment, moxa cones (height: 5 mm, diameter: 5 mm, “Han Medicine”, Nanyang, China) were ignited and fixed at 2 cm above the selected spots (a 30-min session per day) in MA group as well as the non-acupoints in MNA group. Rats in GML model group were performed with no treatment but similar administration.

Biological sample collections

The animals from three subgroups were respectively sacrificed anesthetized with isoflurane in day 1, day 4 and day 7. Then the cerebral cortex, medulla and stomach tissue samples were excised and snap-frozen in liquid nitrogen immediately for tissue extraction. All of samples were stored at − 80 °C prior to analysis.

Histopathological examination

After dehydration of gastric tissues samples fixed in 4% paraformaldehyde, routine paraffin imbedding was applied. Then the 5-μm thick sections were sliced. Deparaffinage and hydration of the sections were achieve by soaking in xylenes I, II and gradient alcohol solution (absolute alcohol, 95% alcohol, 85% alcohol and 75% alcohol). Subsequently, samples were washed in water and stained with hematoxylin and eosin. Finally, a histopathological examination was conducted under light microscopy.

Evaluation of gastric ulcer index

The rats were sacrificed anesthetized by inhaled isoflurane after treatment. The stomach was cut open along the greater curvature and washed with 0.9% Nacl solution. The area of gastric ulcer was measured with a vernier caliper and the index of gastric ulcer was counted. The severity of gastric lesions are scored as follows: petechial spots = 1, erosions < 1 mm = 2, erosions between 1 and 2 mm = 3, erosions between 2 and 4 mm = 4, and erosions greater than 4 mm = 5, and when the width of ulceration was < 1 mm the score was multiplied by 2. Then, the final total lesion score was obtained from the summery of the partial scores.

Biological samples preparation and 1H NMR experiments

According to our preliminary study [22], each of pre-weighed stomach, cerebral cortex, medulla samples (200 mg) were homogenated in 600 mL of CH3OH and 300 mL of H2O and then vortexed for 1 min. After partitioning on ice for 10 min, the samples were centrifuged for 10 min (10,000 rpm, 4 °C). Next, the upper supernatant were piped into tubes for lyophilization and then mixed with 600 μL D2O comprising sodium 3-trimethylsilyl-(2, 2, 3, 3-d4)-1-propionate (TSP). Finally, the mixture was transferred into 5 mm NMR tube to perform NMR analysis.

1H NMR spectra of these samples were captured using a Bruker 600 MHz spectrometer at 298 K as well. Standard 1D 1H spectra were obtained with a ‘NOESY’ (RD-901-t1-90°-tm-90°-acquire) pulse sequence. For each sample, 64 FIDs were collected into 64 K data points over a spectral width of 12,000 Hz with a relaxation delay of 6.5 μs. The metabolites in all samples of 1H NMR spectra were assigned according to reference in published literature [22,23,24], in-house developed NMR database and HMDB database.

Data preprocessing and multivariate statistical analysis

MestReNova v9.0.1 software (Mestrelab Research, Santiago de Compostela, Spain) was utilized to phase and baseline correct the 1H NMR spectra from all samples. And the 1H NMR spectra were referenced to a single peak from TSP at 0.0 ppm and peak-aligned to deal with peak-shift problem. To obviate the influence of water, the chemical shift range of δ 4.70–5.2 ppm were removed. Then the spectra were segmented at δ 0.01 intervals across the region of 0.5–9.0 ppm. The integral values were normalized to a sum of all integrals in each spectrum to compensate for concentration differences between the samples. Thus, the forming date matrices were conducted further for multivariate analysis.

The 1H NMR spectral data was processed with SIMCA-P14.1 (Umetrics, Sweden) to elucidate patterns of metabolic profiles. Prior to multivariate analysis, the Pareto-scaling was conducted to decrease the effect of noise and artefacts in the models. First, a principal component analysis (PCA) was carried out for a natural separation among the all groups via visual inspection of the score plots in this study. Next, the projection to latent structures discriminant analysis (PLS-DA) and supervised orthogonal projection to latent structures discriminant analysis (OPLS-DA) were conducted to distinguish different groups. In addition, the quality of OPLS-DA model was assessed by parameter R2 for model fitness and parameter Q2 for model predictive ability. Subsequently, the corresponding S-plot of OPLS-DA model was carried out to discover the potential variables for differentiation. The potential biomarkers were filtered according to the variable importance in the project (VIP) of the established OPLS-DA model (VIP > 1.00) and an independent-sample t-test (p < 0.05) using (SPSS21.0).

Results

Histological morphology examinations

Histological morphology examinations of the gastric mucosal tissues from rats in 12 groups were respectively conducted (Fig. 1 and Additional file 1: Figure S1). For controls in three time points, it was showed that the structure of mucous epithelium were preserved integrated with well-arranged cells and there were no inflammatory cellular infiltration in the submucosa and muscularis. At 1 day, rats except for the controls presented a seriously damaged structure of mucous membrane with a large number of cell necrosis and abscission, significant inflammatory cellular infiltration in submucosa and muscularis, where cells were arrayed in disordered state. The result was in accord with the gastric lesions indexes of rats in GML group, MA group and MNA group (Table 1), which were all higher significantly than the control at day 1 (all p < 0.01). Based on these observations, the rat modeling of GML was a successful replication. For the GML rats at 4 days and 7 days, the histological morphology examinations showed a partly improved in structure of mucosa and inflammatory cellular infiltration, indicating a self-restoring occurring during the development of GML. On the other hand, the gastric mucosa of GML rats with moxibustion treatment were decreased in lesions index at 4 days and improved in different degrees with the structure of gastric mucosa and inflammatory cellular infiltration at 4 days and 7 days, where ameliorated better than GML group at the same time point. These observations illustrate that moxibustion treatment a good effect on rats with GML rats. Besides, compared with the same time point of rats in MA group and MNA group, there is more significant improvement in gastric lesions index and gastric mucosa of GML rats with moxibustion on acupoints treatment. It suggests that moxibustion treatment on acupoints had relatively better effect on rats with GML.

Fig. 1
figure1

Histological morphology of gastric mucosa from 12 groups. a1, b1, c1 and d1, rats in control group, gastric mucosal lesions model group, moxibustion-acupoint group and moxibustion-nonacupoint group at 1 day, respectively; a2, b2, c2 and d2, rats in control group, gastric mucosal lesions model group, moxibustion-acupoint group and moxibustion-nonacupoint group at 4 days, respectively; a3, b3, c3 and d3, rats in control group, gastric mucosal lesions model group, moxibustion-acupoint group and moxibustion-nonacupoint group at 7 days, respectively; Scale bars represent 50 μm in each group

Table 1 Gastric lesions indexes of rats in the four groups at day 1, 4 and 7 (mean ± S.D)

Gastric ulcer index detection

The gastric ulcer index was measured in 12 groups of rats (Table 1). Compare to the control, the gastric lesions indexes of GML group, MA group and MNA group were higher significantly at day 1 (all p < 0.01), indicating the GML modeling was replicated successfully. In addition, the gastric lesions index of rats in MA group was the lowest among the GML group, MA group and MNA group at day 4, demonstrating that moxibustion acupoints has better beneficial effective on gastric lesion in GML rats.

1H NMR profiles of stomach and brain tissues from rats

To investigate the time-relative metabolic changes correlated with the therapeutic mechanism of moxibustion on GML, the metabolic profiles of stomach, cerebral cortex and medulla exacts were detected with 1H NMR-based metabolomics at 1 day, 4 days and 7 days. The main metabolites from the spectra were identified according to our own developed NMR database, Human Metabolome Database (HMDB: http://www.hmdb.ca/) and literature data. A list of quantified metabolites from different matrices is shown in Additional file 1: Table S1 and typical 1H NMR spectra of stomach, cerebral cortex and medulla extracts are demonstrated (Fig. 2).

Fig. 2
figure2

Typical 1H NMR spectra of aqueous extracts from stomach, medulla and cerebral cortex tissues. 1, Low density lipoprotein; 2, very low density lipoprotein; 3, isoleucine; 4, leucine; 5, valine; 6, 2-oxoisovalerate; 7, ethanol; 8, methylmalonate; 9, lactate; 10, threonine, 11, alanine; 12, lysine, 13, γ-aminobutyrate; 14, acetate; 15, N-acetyl aspartate; 16, glutamate; 17, glutamine; 18, methionine; 19, glutathione; 20, pyruvate; 21, oxaloacetate, 22, succinate, 23, α-ketoglutarate; 24, citrate, 25, sarcosine, 26, aspartate; 27, N,N-dimethylglycine; 28, creatine; 29, creatinine, 30, phenylalanine; 31, ethanolamine; 32, choline; 33, phosphocholine; 34, glycerophosphocholine; 35, β-glucose; 36, taurine; 37, myo-inositol; 38, methanol; 39, α-glucose; 40, glycine; 41, glycerol; 42, glycogen; 43, guanidoacetate; 44, serine; 45, hippurate; 46, inosine; 47, adenosine; 48, NAD+; 49, allantoin; 50, uridine diphosphate glucose; 51, uracil; 52, cytidine; 53, uridine; 54, fumarate; 55, tyrosine; 56, histidine; 57, 3-methylhistidine; 58, xanthine; 59, nicotinamide

Due to the complexity of the spectra, visual inspecting of these 1H NMR spectra showed less obvious difference. Therefore, all datasets were subsequently analyzed using PLS-DA and tow-group of OPLS-DA to discover any potential variables related to GML and moxibustion treatment. For all tissue types, the OPLS-DA scores from the control group and GML group showed obvious separations in three time points (Fig. 3), indicating a noticeable metabolic profiles perturbation occurred in GML. On the other hand, MA group separated obviously from GML group (Fig. 4), suggesting that moxibustion treatment had an obvious effect on GML.

Fig. 3
figure3

OPLS-DA scores plots from the GML rats and the control rats in stomach tissues at 1 day (a1, R2X = 0.695, R2Y = 0.987, Q2 (cum) = 0.68), 4 days (a2, R2X = 0.944, R2Y = 0.999, Q2 (cum) = 0.877) and 7 days (a3, R2X = 0.687, R2Y = 0.981, Q2 (cum) = 0.4); in cerebral cortex tissues at 1 day (b1, R2X = 0.743, R2Y = 0.993, Q2 (cum) = 0.937), 4 days (b2, R2X = 0.77, R2Y = 0.983, Q2 (cum) = 0.801) and 7 days (b3, R2X = 0.852, R2Y = 0.999, Q2 (cum) = 0.981); in medulla tissues at 1 day (c1, R2X = 0.821, R2Y = 0.981, Q2 (cum) = 0.82), 4 days (c2, R2X = 0.718, R2Y = 0.991, Q2 (cum) = 0.815) and 7 days (c3, R2X = 0.817, R2Y = 0.994, Q2 (cum) = 0.79)

Fig. 4
figure4

OPLS-DA scores plots from the GML rats and the GML rats with moxibustion acupoints (MA) treatment in stomach tissues at 1 day (a1, R2X = 0.729, R2Y = 0.999, Q2 (cum) = 0.959), 4 days (a2, R2X = 0.937, R2Y = 0.999, Q2 (cum) = 0.971) and 7 days (a3, R2X = 0.674, R2Y = 0.997, Q2 (cum) = 0.842); in cerebral cortex tissues at 1 day (b1, R2X = 0.759, R2Y = 0.999, Q2 (cum) = 0.996), 4 days (b2, R2X = 0.817, R2Y = 0.999, Q2 (cum) = 0.993) and 7 days (b3, R2X = 0.923, R2Y = 1, Q2 (cum) = 0.937); in medulla tissues at 1 day (c1, R2X = 0.739, R2Y = 0.974, Q2 (cum) = 0.791), 4 days (c2, R2X = 0.78, R2Y = 0.998, Q2 (cum) = 0.956) and 7 days (c3, R2X = 0.673, R2Y = 0.987, Q2 (cum) = 0.746)

In order to further filter the metabolites related to GML pathology and moxibustion treatment, we performed the corresponding S-plot and t-test (Additional file 1: Figures S2, S3).

Compared with the controls, the levels of β-glucose, α-glucose, pyruvate, oxaloacetate, citrate, acetate, isoleucine, leucine, valine, aspartate, phenylalanine, tyrosine and glutamate in stomach tissues of GML rats underwent significant changes as follows (Additional file 1: Table S2): (a) glutamine was decreased at 1 day; (b) pyruvate, oxaloacetate, glutamate were decreased at 1 day and 4 days; (c) β-glucose and α-glucose was found to increase at 1 day while decrease at 4 days; (d) acetate, isoleucine, leucine, valine, lysine, tyrosine and phenylalanine was decrease at 1 day while increase at 4 days; (e) citrate and aspartate were increase at 7 days. And the metabolites mentioned above in rats with moxibustion treatment, compared with GML rats, were reversed as follows: (a) glutamine, β-glucose, acetate, isoleucine, leucine, valine, lysine, tyrosine and phenylalanine were reversed by both moxibustion on acupoints and non-acupoints for 1 day; (b) aspartate was up-regulation by both moxibustion acupoints and non-acupoints for 1 day; (c) α-glucose, pyruvate, oxaloacetate and glutamate were reversed by moxibustion on acupoints for 1 day while by moxibustion non-acupoints for 4 days; (d) citrate was increased by moxibustion on acupoints for 1 day while by moxibustion non-acupoints for 4 days.

On the other hand, for metabolites in cerebral cortex tissues of GML rats, the levels of creatine, succinate, α-ketoglutarate, fumarate, GPC, taurine, glutamate and glutamine were altered compared with the controls as follows (Additional file 1: Table S3): (a) creatine was increased at 1 day; (b) succinate, α-ketoglutarate, fumarate and taurine were decreased at 1 day; (c) GPC was increased at 1 day and decreased at 7 days; (d) glutamate and glutamine were decreased at 1 day and at 4 days while increased at 7 days. And compared with GML groups, the levels of (a) succinate, creatine, glycerophosphocholine, fumarate were reversed by moxibustion acupoints at 1 day and succinate showed an increasing trend at 7 days while creatine and glycerophosphocholine showed a descended trend at 4 days by both moxibustion acupoints and non-acupoints; (b) taurine was elevated by both moxibustion acupoints and non-acupoints for 1 day and keep increasing at 4 days by moxibustion acupoints; (c) glutamate and glutamine were elevated at 1 day and 4 days by both moxibustion acupoints and non-acupoints and glutamate showed a declined trend to normal at 7 days by moxibustion acupoints.

Additionally, we also found that, in medullary samples of rats, the levels of citrate, lactate, phenylalanine, glutathione, glycine, serine and methionine were significantly changed by GML modeling (Additional file 1: Table S4): (a) lactate was increased at 1 day; (b) citrate was decreased at 1 day; (c) glycine and phenylalanine were decreased at 1 day and 4 days; (d) methionine and serine were decreased at 1 day while increased at 4 days and 7 days; (e) glutathione was decreased at 1 day and increased at 7 days. And these metabolites were reversed in response to moxibustion treatments for 1 day. Threonine, citrate and glutathione kept increasing significantly at 4 days by both moxibustion acupoints and non-acupoints treatments. Specially, the levels of serine at 4 days and phenylalanine at 7 days kept a noticeable increasing by moxibustion acupoints.

Discussion

It is known that the functional dyspepsia is closely related to brain-gut peptide (BGP), which is effective in regulating various physiological functions in gastrointestinal tract by both enteric nervous system and central nervous system [25]. Interestingly, it has been reported that the gut-brain axis plays a potential role in gastric damage and protection [26]. And the cerebral cortex and medulla as the main tissue of the brain-intestinal axis, the effects of the brain-intestinal axis on the gastrointestinal tract can be reflected by the changes of the cerebral cortex and medulla in the whole experimental process. Meanwhile, in Traditional Chinese Medicine (TCM), the stomach meridian had an important connection with the stomach. The stomach diseases can be treated by stimulating the acupoints which on the stomach meridian [11, 27]. So the stomach is mainly related to meridians and can visually reflect local changes. The development of gastric mucosa lesions is a complex process including the occurrence and healing [28]. For all sample types, the different levels of changes caused by GML modeling and reversed by moxibustion treatment may bring about characteristic metabolomics profiles of GML modeling and moxibustion treatment, which will be discussed in further detail as following (Additional file 1: Figure S4).

Metabolic alterations in stomach tissues

Glucose is the primary source of energy involving in glycolysis or gluconeogenesis. And pyruvate is a key intermediate in metabolism of carbohydrates, fats and proteins [29, 30]. Additionally, acetate is mainly utilized in the form of acetyl-CoA, an essential metabolite in three carboxylic acid (TCA) cycle. Besides, citrate and oxaloacetate are also important intermediates during TCA cycle. Previously, decreased citrate in stomach extracts was also recognized as potential biomarker for severe gastric ulcers [23]. In current study, alteration of glucose caused by GML at 1 day and 4 days indicates that GML modeling may bring an unbalance between the glycolysis and gluconeogenesis. In addition, lower levels of pyruvate, acetate, citrate and oxaloacetate in stomach tissues of GML rats at 1 day while increased concentration of citrate at 7 days suggest that GML modeling may cause an inhibition in TCA cycle for energy releasing and this inhibition disappears with the improvement of lesions. On the other hand, compared with moxibustion non-acupoints treatment, the more levels of metabolites mentioned above can be revered after moxibustion acupoints treatment for 1 day, suggesting that moxibustion acupoints treatment may play an important role in regulating energy metabolism at early stage during development of GML (Fig. 5).

Fig. 5
figure5

Disturbed metabolic pathways in stomach related to GML pathology and moxibustion treatment at three time points. 1, Phenylalanine, tyrosine and tryptophan biosynthesis; 2, d-glutamine and d-glutamate metabolism; 3, valine, leucine and isoleucine biosynthesis; 4, alanine, aspartate and glutamate metabolism; 5, phenylalanine metabolism; 6, glyoxylate and dicarboxylate metabolism; 7, citrate cycle (TCA cycle); 8, pyruvate metabolism; 9, starch and sucrose metabolism; 10, Aminoacyl-tRNA biosynthesis; 11, glycolysis or gluconeogenesis; 12, arginine and proline metabolism; 13, tyrosine metabolism. Metabolites in bold were remarked metabolites associated with moxibustion treatment on GML rats. (Those in red (or blue) indicate concentration increases (or decreases) in comparison with the control group, while ones in black present no insignificant change)

Leucine, isoleucine and valines, branched-chain amino acids (BCAAs), play a functional role in accelerating mitochondrial metabolism, which lead to promote cell metabolism and improve immune-related function and gastrointestinal health [31,32,33,34,35]. And lysine is a precursor of cadaverine, an essential factor in fatty acid metabolism through transporting fat into the mitochondria for subsequent β-oxidation [36]. Phenylalanine is required for the synthesis of tyrosine, which readily passes the blood–brain barrier and is a precursor for the neurotransmitters dopamine, norepinephrine and epinephrine. Glutamate can interconvert into glutamine, which is vital energy source to promote mucosal and play important role in maintaining the structure and function of intestinal mucosa [37]. Aspartate is another nonessential amino acid and plays beneficial roles in anti-oxidative capacity, immunity, gastrointestinal absorptive and mucosal barrier function [38, 39]. Depletion in these amino acids in stomach tissues of GML rats at 1 day indicates that GML modeling may lead to disorders in immune-and neurotransmitters-related function as well as anti-oxidative capacity. And this depletion is reversed with the improvement of lesions. On the other hand, most of these amino acids are reversed for 1 day and keep a increasing during the development process of lesions, indicating that moxibustion have a beneficial treatment by regulating anti-oxidative capacity, immunity and the function of neurotransmitters (Fig. 5).

Metabolic alterations in brain

Citrate, α-ketoglutarate (α-KG), succinate and fumarate are important intermediates in TCA cycle. And lactate is final product from pyruvate in anaerobic cellular metabolism. Creatine functions as part of the cell’s energy shuttle that it can transfer ATP and provide energy through catalyzed to phosphocreatine and ADP [22]. Alteration of these metabolites in brain of GML rats suggests again that deficiency energy is an obvious pathology of GML. And the reversion by moxibustion acupoints treatment after 1 day, only citrate, α-KG and lactate reversed by moxibustion non-acupoints, also indicates again that moxibustion acupoints treatment can improve energy metabolism in GML rats (Fig. 6).

Fig. 6
figure6

Disturbed metabolic pathways in brain related to GML pathology and moxibustion treatment at three time points. 1, d-Glutamine and d-glutamate metabolism; 2, alanine, aspartate and glutamate metabolism; 3, glycine, serine and threonine metabolism; 4, glutathione metabolism; 5, methane metabolism; 6, phenylalanine, tyrosine and tryptophan biosynthesis; 7, phenylalanine metabolism; 8, taurine and hypotaurine metabolism; 9, citrate cycle (TCA cycle); 10, arginine and proline metabolism; 11, cysteine and methionine metabolism; 12, pyruvate metabolism; 13, glycerophospholipid metabolism. Metabolites in bold were remarked metabolites associated with Moxibustion treatment on GML rats. [Those in red (or blue) indicate concentration increases (or decreases) in comparison with the control group, while ones in black present no insignificant change]

Glutathione is vital coenzymes with the crucial thiol group that make it have an effective antioxidant and can be synthesized from cysteine [40]. Glycine and serine are important metabolic intermediates in glutathione metabolism. Taurine is synthesized from cysteine and has a vital role in antioxidation, neuroprotective, membrane stabilization and osmoregulation [41,42,43]. Thus, serine and glycine can be used to enhance anti-oxidative reactions, improve immunity and prevent tissue injury [44, 45]. Methionine is known as a donator of the sulfur atom to form cysteine. So lower levels of serine, glycine, glutathione and methionine in medulla extracts as well as taurine in cortex extracts of GML rats and the depletion is reversed by moxibustion acupoints for 1 day and keep a increasing during the development process of lesions for 4 days or 7 days (Fig. 6), suggesting that GML modeling may bring an weaken antioxidant ability and moxibustion treatment has good effect in improving them.

Besides, glycerophosphocholine (GPC) is formed in the breakdown of phosphatidylcholine (PC), a major component of lecithin contributing to cellular proliferation and apoptosis [46, 47]. Increased GPC in cortex of GML rats may associate to a damaged in cell membrane [22], while its self-recovery and even reversion to low levels after 7 days indicates an increased acquirement in synthesis of cell membranes to repair the previous damage (Fig. 6). But the levels of GPC were reversed by moxibustion acupoints treatment for 1 day suggesting that moxibustion acupoints treatment has an effective on accelerating the cellular active.

In addition, glutamine is a precursor for GABA and it is supposed to be linked with positive intestinal effects, including maintenance of gut barrier function, aiding intestinal cell proliferation and differentiation and ant oxidative stress [48, 49]. Phenylalanine is known as a precursor for neurotransmitters catecholamines including tyramine, dopamine, epinephrine and norepinephrine [50]. The down-regulation in levels of glutamate, glutamine and phenylalanine in brains of GML rats suggests a disturbance in neuronal signaling pathways caused by GML. While the reversion by moxibustion treatment gives an indication that moxibustion treatment has a good effect on GML by improving neurotransmitters function (Fig. 6).

Conclusions

Together, these findings suggests GML modeling brought disorders in energy metabolism, antioxidant ability, cellular active and function of neurotransmitters in stomach and brain of rats. Although GML rats had some self-restoration abilities, the moxibustion treatment showed an obvious improvement effects on GML especially in regulating energy metabolism and cellular active. In addition, moxibustion treatment also has a beneficial effect on GML by regulating antioxidant ability and function of neurotransmitters. The current study will be beneficial for better understanding the time-relative therapeutic mechanism of moxibustion on GML.

Availability of data and materials

The all original data supported the findings of this study were supplied by Zong-bao Yang under license and cannot be made freely available. Requests for access to these data should be made to Zongbao Yang, yangzb@xmu.edu.cn.

Abbreviations

GML:

gastric mucosal lesion

SD:

Sprague–Dawley

ST36:

Zusanli

ST21:

Liangmen

CGU:

Chronic Gastric Ulcers

CAG:

chronic atrophic gastritis

PPI:

proton pump inhibitor

TCM:

the traditional Chinese medicine

NMR:

nuclear magnetic resonance

D2O:

deuterium oxide

TSP:

sodium 3-trimethylsilyl-(2, 2, 3, 3-d4)-1-propionate

SMFY:

Foot-Yangming

MNA:

GML rats with moxibustion on non-acupoints

PCA:

principal component analysis

PLS-DA:

the projection to latent structures discriminant analysis

OPLS-DA:

orthogonal projection to latent structures discriminant analysis

VIP:

variable importance in the project

TCA:

three carboxylic acid

BCAAs:

branched-chain amino acids

α-K:

Gα-ketoglutarate

GPC:

glycerophosphocholine

PC:

phosphatidylcholine

References

  1. 1.

    Mozsik G, Javor T. A biochemical and pharmacological approach to the genesis of ulcer disease. I. A model study of ethanol-induced injury to gastric mucosa in rats. Dig Dis Sci. 1988;33(1):92–105.

  2. 2.

    Fromm D. Mechanisms involved in gastric mucosal resistance to injury. Annu Rev Med. 1987;38:119–28.

  3. 3.

    You WC, Chang YS. Epidemiology of precancerous gastric lesions. J Gastroenterol Hepatol. 1993;8(4):375–82.

  4. 4.

    Jing FY, Hu X, Cao YF, Xu MH, Wang YY, Jing Y, Hu XD, Gao Y, Zhu ZT. Discriminating gastric cancer and gastric ulcer using human plasma amino acid metabolic profile. IUBMB Life. 2018;70(6):553–62.

  5. 5.

    Lanas A, Chan FKL. Peptic ulcer disease. Lancet. 2017;390(10094):613–24.

  6. 6.

    Liu CC, Wu YF, Feng GM, Gao XX, Zhou YZ, Hou WJ, Qin XM, Du GH, Tian JS. Plasma-metabolite-biomarkers for the therapeutic response in depressed patients by the traditional Chinese medicine formula Xiaoyaosan: a 1H NMR-based metabolomics approach. J Affect Disord. 2015;185:156–63.

  7. 7.

    Li Y, Sun C, Kuang JJ, Ji CC, Feng SS, Wu JT, You HJ. An in vitro and numerical study of moxibustion therapy on biological tissue. IEEE Trans Biomed Eng. 2018;65(4):779–88.

  8. 8.

    Sun M, Wang Y, Lin S, Wu X, Wang D. Clinical observation and experimental research on moxibustion for protection of gastric mucosa. Chin Acupunct Moxibustion. 2000;7(39):441–5.

  9. 9.

    Freire AO, Sugai GCM, Blanco MM, Tabosa A, Yamamura Y, Mello L. Effect of moxibustion at acupoints Ren-12 (Zhongwan), St-25 (Tianshu), and St-36 (Zuzanli) in the prevention of gastric lesions induced by indomethacin in Wistar rats. Dig Dis Sci. 2005;50(2):366–74.

  10. 10.

    Yu J, Peng H, Lin YP, Yi SX. Effect of moxibustion treatment on cell apoptosis and expressions of heat shock protein and second mitochondrial activator of caspase in acute gastric mucosal lesion of rats. J Tradit Chin Med. 2013;33(2):258–61.

  11. 11.

    Peng L, Wang YD, Chang XR, Wu HG, Liu M, Ma FQ, Wang H, Chen JL, Wang C, Quan RF, et al. Effect of moxa-burning heat stimulating Liangmen (ST 21) and Zusanli (ST 36) on proliferation and apoptosis signaling proteins in rats with stress-induced gastric ulcer. J Tradit Chin Med. 2016;36(3):340–6.

  12. 12.

    Chang XR, Peng L, Yi SX, Peng Y, Yan J. Association of high expression in rat gastric mucosal heat shock protein 70 induced by moxibustion pretreatment with protection against stress injury. World J Gastroenterol. 2007;13(32):4355–9.

  13. 13.

    Shao XQ, He J, Liang RY, Lu YL, Shi YJ, Wang Y, Zheng XQ, Zhang S, Wang T. Mortality, growth and metabolic responses by H-1-NMR-based metabolomics of earthworms to sodium selenite exposure in soils. Ecotoxicol Environ Saf. 2019;181:69–77.

  14. 14.

    Jin HY, Zhu BJ, Liu X, Jin J, Zou HD. Metabolic characterization of diabetic retinopathy: an H-1-NMR-based metabolomic approach using human aqueous humor. J Pharm Biomed. 2019;174:414–21.

  15. 15.

    Kosmides AK, Kamisoglu K, Calvano SE, Corbett SA, Androulakis IP. Metabolomic fingerprinting: challenges and opportunities. Crit Rev Biomed Eng. 2013;41:205–21.

  16. 16.

    Martin M, Legat B, Leenders J, Vanwinsberghe J, Rousseau R, Boulanger B, Eilers PHC, De Tullio P, Govaerts B. PepsNMR for H-1 NMR metabolomic data pre-processing. Anal Chim Acta. 2018;1019:1–13.

  17. 17.

    Wallace M, Cottell E, Cullinane J, McAuliffe FM, Wingfield M, Brennan L. H-1 NMR based metabolic profiling of day 2 spent embryo media correlates with implantation potential. Syst Biol Reprod Med. 2014;60(1):58–63.

  18. 18.

    Xu JJ, Liu CQ, Cai SH, Dong JY, Li XJ, Feng JH, Chen Z. Metabolomic profilings of urine and serum from high fat-fed rats via H-1 NMR spectroscopy and pattern recognition. Appl Biochem Biotechnol. 2013;169(4):1250–61.

  19. 19.

    Song Q, Zhang AH, Yan GL, Liu L, Wang XJ. Technological advances in current metabolomics and its application in tradition Chinese medicine. RSC Adv. 2017;7(84):53516–24.

  20. 20.

    Zhang LM, Wang YL, Xu YX, Lei HH, Zhao Y, Li HH, Lin XS, Chen GZ, Tang HR. Metabonomic analysis reveals efficient ameliorating effects of acupoint stimulations on the menopause-caused alterations in mammalian metabolism. Sci Rep. 2014;4:3641.

  21. 21.

    Singh LP, Kundu P, Ganguly K, Mishra A, Swarnakar S. Novel role of famotidine in downregulation of matrix metalloproteinase-9 during protection of ethanol-induced acute gastric ulcer. Free Radic Biol Med. 2007;43(2):289–99.

  22. 22.

    Xu JJ, Zheng XJ, Cheng KK, Chang XR, Shen GP, Liu M, Wang YD, Shen JC, Zhang Y, He QD, et al. NMR-based metabolomics reveals alterations of electro-acupuncture stimulations on chronic atrophic gastritis rats. Sci Rep. 2017;7:45580.

  23. 23.

    Xu JJ, Cheng KK, Yang ZB, Wang C, Shen GP, Wang YD, Liu Q, Dong JY. H-1 NMR metabolic profiling of biofluids from rats with gastric mucosal lesion and electroacupuncture treatment. Evid Based Complement Altern Med. 2015;2015:801691.

  24. 24.

    Li ZY, He P, Sun HF, Qin XM, Du GH. H-1 NMR based metabolomic study of the antifatigue effect of Astragali Radix. Mol BioSyst. 2014;10(11):3022–30.

  25. 25.

    Huang W, Jiang SM, Jia L, You LQ, Huang YX, Gong YM, Wang GQ. Effect of amitriptyline on gastrointestinal function and brain-gut peptides: a double-blind trial. World J Gastroenterol. 2013;19(26):4214–20.

  26. 26.

    Sgambato D, Capuano A, Sullo MG, Miranda A, Federico A, Romano M. Gut-Brain Axis in gastric mucosal damage and protection. Curr Neuropharmacol. 2016;14(8):959–66.

  27. 27.

    Zhang Y, Liu C, Lian L, Shen J, He Q, Chen J, Ma F, Yang Z. Time-effect relationship and molecular mechanism of electroacupuncture for repair of gastric mucosal lesion. Zhongguo Zhen Jiu. 2018;38(7):747–52.

  28. 28.

    Holt KM, Hollander D. Acute gastric mucosal injury: pathogenesis and therapy. Annu Rev Med. 1986;37:107–24.

  29. 29.

    Corbet C. Stem cell metabolism in cancer and healthy tissues: pyruvate in the limelight. Front Pharmacol. 2018;8:958.

  30. 30.

    Dad A, Jeong CH, Wagner ED, Plewa MJ. Haloacetic acid water disinfection byproducts affect pyruvate dehydrogenase activity and disrupt cellular metabolism. Environ Sci Technol. 2018;52(3):1525–32.

  31. 31.

    Zhang SH, Zeng XF, Ren M, Mao XB, Qiao SY. Novel metabolic and physiological functions of branched chain amino acids: a review. J Anim Sci Biotechnol. 2017;8:10.

  32. 32.

    Gannon NP, Schnuck JK, Vaughan RA. BCAA metabolism and insulin sensitivity—dysregulated by metabolic status? Mol Nutr Food Res. 2018;62(6):e1700756.

  33. 33.

    Qun Z, Xinkai Y, Jing W. Effects of eccentric exercise on branched-chain amino acid profiles in rat serum and skeletal muscle. J Anim Physiol Anim Nutr. 2014;98(2):215–22.

  34. 34.

    Ichikawa K, Okabayashi T, Shima Y, Iiyama T, Takezaki Y, Munekage M, Namikawa T, Sugimoto T, Kobayashi M, Mimura T, et al. Branched-chain amino acid-enriched nutrients stimulate antioxidant DNA repair in a rat model of liver injury induced by carbon tetrachloride. Mol Biol Rep. 2012;39(12):10803–10.

  35. 35.

    Nie CX, He T, Zhang WJ, Zhang GL, Ma X. Branched chain amino acids: beyond nutrition metabolism. Int J Mol Sci. 2018;19(4):954.

  36. 36.

    Niu QY, Li ZY, Du GH, Qin XM. H-1 NMR based metabolomic profiling revealed doxorubicin-induced systematic alterations in a rat model. J Pharm Biomed Anal. 2016;118:338–48.

  37. 37.

    Hu JH, Shi Y, Wang C, Wan HX, Wu D, Wang HY, Peng X. Role of intestinal trefoil factor in protecting intestinal epithelial cells from burn-induced injury. Sci Rep. 2018;8:3201.

  38. 38.

    Kang P, Liu YL, Zhu HL, Li S, Shi HF, Chen F, Leng WB, Pi DN, Hou YQ, Yi D. The effect of aspartate on the energy metabolism in the liver of weanling pigs challenged with lipopolysaccharide. Eur J Nutr. 2015;54(4):581–8.

  39. 39.

    Duan JL, Yin J, Ren WK, Liu T, Cui ZJ, Huang XG, Wu L, Kim SW, Liu G, Wu X, et al. Dietary supplementation with l-glutamate and l-aspartate alleviates oxidative stress in weaned piglets challenged with hydrogen peroxide. Amino Acids. 2016;48(1):53–64.

  40. 40.

    Rushworth GF, Megson IL. Existing and potential therapeutic uses for N-acetylcysteine: the need for conversion to intracellular glutathione for antioxidant benefits. Pharmacol Ther. 2014;141(2):150–9.

  41. 41.

    Idrissi A, Shen CH, L’Amoreaux WJ. Neuroprotective role of taurine during aging. Amino Acids. 2013;45(4):735–50.

  42. 42.

    Pushpakiran G, Mahalakshmi K, Anuradha CV. Taurine restores ethanol-induced depletion of antioxidants and attenuates oxidative stress in rat tissues. Amino Acids. 2004;27(1):91–6.

  43. 43.

    Chou CH, Chang YY, Tzang BS, Hsu CL, Lin YL, Lin HW, Chen YC. Effects of taurine on hepatic lipid metabolism and anti-inflammation in chronic alcohol-fed rats. Food Chem. 2012;135(1):24–30.

  44. 44.

    Wang WW, Wu ZL, Dai ZL, Yang Y, Wang JJ, Wu GY. Glycine metabolism in animals and humans: implications for nutrition and health. Amino Acids. 2013;45(3):463–77.

  45. 45.

    Gao X, Lee K, Reid MA, Sanderson SM, Qiu CP, Li SQ, Liu J, Locasale JW. Serine availability influences mitochondrial dynamics and function through lipid metabolism. Cell Rep. 2018;22(13):3507–20.

  46. 46.

    Mori N, Wildes F, Takagi T, Glunde K, Bhujwalla ZM. The tumor microenvironment modulates choline and lipid metabolism. Front Oncol. 2016;6:262.

  47. 47.

    Park SC, Shinfuku N, Maramis MM, Lee MS, Park YC. Adjunctive antipsychotic prescriptions for outpatients with depressive disorders in Asia: the research on Asian psychotropic prescription patterns for antidepressants (REAP-AD) study. Am J Psychiatry. 2015;172(7):684–5.

  48. 48.

    Moines L, de Barboza GD, Perez A, Benedetto M, de Talamoni NT. Glutamine protects intestinal calcium absorption against oxidative stress and apoptosis. Comp Biochem Physiol A Mol Integr Physiol. 2017;212:64–71.

  49. 49.

    Chen Y, Tseng SH, Yao CL, Li C, Tsai YH. Distinct effects of growth hormone and glutamine on activation of intestinal stem cells. J Parenter Enteral Nutr. 2018;42(3):642–51.

  50. 50.

    Wiggins T, Kumar S, Markar SR, Antonowicz S, Hanna GB. Tyrosine, phenylalanine, and tryptophan in gastroesophageal malignancy: a systematic review. Cancer Epidemiol Biomark Prev. 2015;24(1):32–8.

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Acknowledgements

This research was supported by Xiamen University in 2019.

Funding

This work was supported by the National Natural Science Foundation of China (NO.81973934 and NO.81473751), the 973 Program (NO.2015CB554502), Program of Science and Technology Innovation Committee of Shenzhen of China (JCYJ20160406140612883). Mi Liu and Zong-bao Yang supported the funding and revised the manuscript.

Author information

YZ and M-SH designed the project and wrote this manuscript; C-CL conducted the NMR experiments; L-YL and J-CS performed the pattern recognition analysis of the whole dataset; Q-DH conduced the histopathological experiment; L-BZ conducted the electro-acupuncture operation; Y-JW conducted the animal handling. Z-BY and ML revised the manuscript. All authors read and approved the final manuscript.

Correspondence to Zong-bao Yang.

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Animal care and experimental procedures used in the current study were approved by the Animal Care and Use Committee of Xiamen University (Permit Number: SCXK160803004).

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The authors declare that they have no competing interests.

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Supplementary information

Additional file 1. Figure S1. Histological morphology of gastric mucosa from 12 groups. (A1, B1, C1 and D1, rats in control group, gastric mucosal lesions model group, moxibustion-acupoint group and moxibustion-nonacupoint group at 1 day, respectively; A2, B2, C2 and D2, rats in control group, gastric mucosal lesions model group, moxibustion-acupoint group and moxibustion-nonacupoint group at 4 days, respectively; A3, B3, C3 and D3, rats in control group, gastric mucosal lesions model group, moxibustion-acupoint group and moxibustion-nonacupoint group at 7 days, respectively; Scale bars represent 200 μm in each group.) Figure S2. Corresponding S-plots from the GML rats and the control rats in stomach (a1, a2 and a3), cerebral cortex (b1, b2 and b3) and medulla (c1, c2 and c3) tissues for three time points. Figure S3. Corresponding S-plots from the GML rats and the GML rats with moxibustion acupoints(MA) treatment in stomach (a1, a2 and a3), cerebral cortex (b1, b2 and b3) and medulla (c1, c2 and c3) tissues for three time points. Figure S4. Summaries of metabolic pathways in gut-brain integration altered moxibustion treatment on GML rats. Moxibustion intervention showed beneficial effects by regulating many GML-induced metabolic changes involved in energy metabolism, amino acids metabolism and membrane metabolism. (1, Phenylalanine, tyrosine and tryptophan biosynthesis; 2, d-Glutamine and d-glutamate metabolism; 3, Valine, leucine and isoleucine biosynthesis; 4, Alanine, aspartate and glutamate metabolism; 5, Glycine, serine and threonine metabolism; 6, Glutathione metabolism; 7, Phenylalanine metabolism; 8, Methane metabolism; 9, Glyoxylate and dicarboxylate metabolism; 10, Taurine and hypotaurine metabolism; 11, Citrate cycle (TCA cycle); 12, Pyruvate metabolism; 13, Starch and sucrose metabolism; 14, Aminoacyl-tRNA biosynthesis; 15, Glycolysis or Gluconeogenesis; 16, Arginine and proline metabolism; 17, Cysteine and methionine metabolism; 18, Tyrosine metabolism; 19, Primary bile and biosynthesis; 20, Glycerophospholipid metabolism.). Table S1. Peak attribution of the main marked metabolites in 1H-NMR spectra of stomach, cerebral cortex, medulla. Table S2. The alteration metabolites from stomach tissue. Table S3. The alteration metabolites from cerebral cortex tissue. Table S4. The alteration metabolites from medulla tissue.

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Zhang, Y., Huang, M., Liu, C. et al. Dynamic observation and analysis of metabolic response to moxibustion stimulation on ethanol-induced gastric mucosal lesions (GML) rats. Chin Med 14, 44 (2019) doi:10.1186/s13020-019-0266-5

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Keywords

  • Gastric mucosal lesion
  • Moxibustion
  • Metabolomics
  • 1H NMR
  • Dynamic analysis