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. 2024 Oct 24;25(9):695–709. doi: 10.2174/0118715303325372241014152811

Effects of Ethanol Extract from Senna Leaf (EESL) on Inflammation and Oxidative Stress in Mice: A Non-targeted Metabolomic Study

Xiaoli Huang 1, Wen Sun 2, Chang Sun 3, Jiajun Tan 3, Liang Wu 3,*, Fumeng Yang 4
PMCID: PMC12376119  PMID: 39449343

Abstract

Background

Senna leaf is a commonly used medication for treating constipation, and long-term use can cause damage to the intestinal mucosa and lead to drug dependence. But the exact mechanism remains unclear.

Objective

Using non-targeted metabolomics technology to study the mechanism of senna leaf ethanol extract (EESL) inducing inflammation and oxidative stress in mice and causing side effects.

Methods

EESL was administered to mice by gavage to detect inflammation and oxidative stress-related factors in mice, and the EESL components and differential metabolites in mouse plasma were analyzed using non-targeted metabolome techniques.

Results

23 anthraquinone compounds were identified in the EESL, including sennoside and their derivatives. Administration of EESL to mice resulted in a significant increase in pro-inflammatory factors, IL-1β, and IL-6 in the plasma, while the levels of IgA significantly decreased. The levels of oxidative stress significantly increased, and the intestinal mucosal integrity was impaired. 21 endogenous in plasma metabolites were identified as differential metabolites related with taurine and taurine metabolism, glycerophospholipid metabolism, arachidonic acid metabolism, tryptophan metabolism, and sphingolipid metabolism. These metabolic pathways are related to oxidative stress and inflammation.

Conclusion

Senna leaf can inhibit the expression of tight junction proteins in the intestinal mucosa and disrupt intestinal mucosal barrier integrity, exacerbating oxidative stress and inflammation induced by bacterial LPS entering the bloodstream. In addition, the impact of Senna leaf on tryptophan metabolism may be linked to the occurrence of drug dependence.

Keywords: Ethanol extract of Senna leaf (EESL), oxidative stress, inflammation, intestinal mucosa, tight junction, drug dependence

1. INTRODUCTION

Cassia angustifolia Vahl is a leguminous plant called Senna, and Senna leaf is a commonly used cathartic drug. It can directly act on intestine, enhance the peristalsis of the large intestine, and make constipation patients defecate in a short time [1]. Senna leaf is an effective remedy for intractable constipation [2]. However, clinical studies have also found that long-term use of Senna leaf in the treatment of constipation can easily lead to drug dependence, digestivetract bleeding, and even intestinal mucosa damage [3-5]. The dependence symptoms of Senna leaf are observed in habitual constipation patients who use Senna leaf for treatment [6]. The withdrawal symptoms are similar to the early symptoms of opioid drug dependence, mainly manifesting as anxiety, restlessness, body aches, insomnia, loss of appetite, increased blood pressure, and weight loss [7, 8]. Other studies have shown that when the amount of senna leaf brewed with boiling water is greater than 10 g-30 g, symptoms of upper gastrointestinal bleeding may occur [9, 10].

The main components of Senna leaf are anthraquinones and their derivatives [11]. It is believed that they can improve the structure of intestinal flora and the formation of metabolites, and can cause damage to the intestinal mucosa [12, 13]. Due to the destruction of the intestinal mucosal barrier, a large amount of lipopolysaccharides from intestinal bacteria are released into the blood, triggering systemic chronic inflammation [14]. It is well known that chronic inflammation is a major cause of various chronic diseases, and long-term low-grade chronic inflammation is extremely harmful to health [15]. Therefore, studying the mechanism of how Senna leaf destroys the intestinal mucosal barrier and induces systemic chronic inflammation is of great significance for the use of Senna leaf.

In this study, we investigated the effects of oral EESL on mouse intestinal mucosal injury, in vivo inflammatory and oxidative stress response levels, as well as the impact on plasma metabolic profiling, using a mouse model. We aimed to explore the mechanism underlying the side effects of Senna leaf.

2. MATERIALS AND METHODS

2.1. Chemicals and Reagents

Senna leaf in this study was purchased from Bozhou Mingjie Biotechnology Co., LTD (Bozhou, Anhui, China). To prepare the ethanol extract from the Senna leaf, the method reported by Ontong et al. was followed [8]. The operation steps were as follows: 2 g coarse Senna leaf powder was precisely weighed and placed in a round-bottomed flask, and 20 mL 50% ethanol was added and heated for reflux for 15 min. The above operation was repeated three times, and the obtained liquid was filtered by 0.45 μm filter membrane, and then the ethanol extract of senna leaf (EESL) was obtained by vacuum rotary evaporation. Each ml of the above ethanol extract contains 0.2 g senna components. The EESL components were analyzed by UPLC-MS technique. The analysis of UPLC-MS was performed by Wekemo Tech Group Co., Ltd. (Shenzhen, China).

2.2. Animal Treatment and Sample Collection

The male ICR mice (weighing 18-22 g) were provided by Wukong Biotechnology Co., Ltd. (Nanjing, China). The study was conducted in accordance with the National Institutes of Health guide for the care and use of Laboratory animals (NIH Publications No. 8023, revised 1978), and approved by the Ethics Committee of Jiangsu University (protocol code UJS-IACUC-AP-2021022804 and date of approval: January 2021).

In this study, the mice were divided into three groups including the normal control group (NC group), the low concentration of EESL treated group (FL group) and the high concentration of EESL group (FH group) with 10 mice in each group. All mice were held under standard laboratory conditions, fed with Lab Rat and Mouse Diet from Xietong Biotechnology Co., Ltd. (Nanjing, China), the temperature was (25 ± 1)°C, the humidity was (50 ± 10)%, and dark/light 12 h/12 h cycle.

The mice in the NC group were given 200 μL sterilized distilled water by gavage daily, and those in the FL and FH groups were given 20 μL and 200 μL EESL by gavage daily for 15 days. Mice were sacrificed on the 16th day, and plasma was collected for subsequent study.

2.3. Lipolyaccharide (LPS) Level Detection

The LPS detection in mouse plasma was determined using the BET-24A bacterial endotoxin analyzer employing the dynamic turbidimetric limulus reagent method. The kit utilized for this analysis was provided by Xiamen Limulus Reagent Biotechnology, based in Xiamen, China. The instructions provided with the kit were meticulously followed.

2.4. Oxidative Stress and Inflammatory Factor Detection

The levels of plasma pro-inflammatory cytokines including IL-1β and IL-6, as well as the indicators of mucosal defense of IgA were detected by ELISA assay. The ELISA kits were purchased from Jiangsu Meimiang Industry (Yanchen, China). After the reaction, the absorbance was measured at 450 nm, and the concentration of each cytokine was calculated according to the standard curve. The levels of relevant indicators in mouse plasma were detected using the malondialdehyde (MDA) reagent kit and superoxide dismutase (SOD) reagent kit from Nanjing Jiancheng Bioengineering Institute (Nanjing, China). The mouse reactive oxygen species cluster (ROS) ELISA kit from Jining Shiye Bioengineering Institute (Shanghai, China). The detection procedures were strictly conducted according to the instructions of the respective reagent kits.

2.5. Non-targeted Metabolomics Analysis

The mouse plasma of the NC and FH groups stored at -80°C was thawed at 4°C for non-targeted metabolomics analysis. Non-targeted metabolomics detection was performed by Wekemo Tech Group Co., Ltd. (Shenzhen, China). The data were analyzed on the free online platform of Wekemo Bioincloud (https://www.bioincloud.tech/) including the unsupervised principal component analysis (PCA) and orthogonal least squares discrimination analysis (OPLS-DA). Variable importance in the projection (VIP) reflects the contribution of the analyzed variables to the OPLS-DA model. The differential metabolites were screened according to the criteria of VIP > 1 and P < 0.05. These differential metabolites were identified using mass spectroscopic data, which were retrieved and confirmed in the Human Metabolome Database (HMDB, http://www.hmdb.ca/). Kyoto Encyclopedia of Genes and Genomes Database (KEGG, http://kegg.jp/kegg/kegg1.html) was used for the detection of metabolic pathways associated with potential differential metabolites.

2.6. HE Staining and Immunohistochemistry of Mouse Jejunum Tissue

Intestine tissue was obtained 10 cm from the blind part of the mouse, fixed with 4% paraformaldehyde, dehydrated, embedded in paraffin, and stained with hematoxylin and eosin after sectioning. The morphological changes of the intestinal mucosa were observed under a microscope. In the immunohistochemical staining of tight junction proteins ZO-1 and Occludin, the paraffin sections of the intestinal tissue were dewaxed and washed three times with pH 7.4 PBS buffer. A citric acid antigen retrieval solution was used to block endogenous peroxidase activity in the tissue samples. The primary antibody was added and incubated at room temperature for 2 hours, followed by DAB staining and counterstaining with hematoxylin. The slides were then sealed with neutral gum and observed under a microscope.

2.7. Statistical Analysis

Results were expressed as mean ± standard deviation. SPSS 22.0 statistical software was used for statistical analysis; the one-way ANOVA test was used to test the overall mean; the LSD-t method was used to test the multiple comparisons of sample means between groups. P <0.05 was considered statistically significant and Graphpad Prism 9.2 was used for mapping.

3. RESULTS

3.1. Analysis of EESL Components by UPLC-MS

The EESL component analysis was performed by Wekemo Tech Group Co., Ltd. (Shenzhen, China). For a more comprehensive analysis of the compounds in EESL, total ion chromatograms (TICs) obtained in both positive and negative modes were compared in this study. Twenty-three components were identified in EESL by UPLC-Q-TOF-MS, including sennoside A, sennoside B, sennoside C and sennoside D (Fig. 1 and Table 1).

Fig. (1).

Fig. (1)

Analysis of ethanol extract components of senna leaf (EESL) based on UPLC-MS technique. A: Total ion chromatography (TIC) in positive ion mode (ESI+); B: Total ion chromatography (TIC) in negative ion mode (ESI-).

Table 1.

Components identified in ethanol extract from senna leaf (EESL).

Peak No. t R
(min)a
Molecular formula Observed (m/z) MS2 ions (m/z) Identification
1 0.88 C19H16O4 307.09775 (M-H) 175.04898, 157.03708 Didemethoxycurcumin
2 0.96 C20H18O5 337.09073 (M-H) 307.09775, 175.04898, 157.03708 Demethoxycurcumin
3 1.61 C15H20O10 383.09862 (M+Na) 245.06558, 199.06010 Glucosyringic acid
4 5.73 C25H22O9 465.12413 (M-H) 285.05292, 241.06130, 224.05689 Kaempferol derivative
5 6.83 C29H38O16 641.16159 (M-H) 441.15922, 353.10197, 299.03212, 255.04088 Hydroxy-rhein derivative
6 9.13 C23H21O10 457.15489 (M-H) 387.18168, 185.02920, 163.11865, 119.05476 Anthraquinones derivative
7 15.54 C27H30O17 627.16700 (M+H) 465.11231, 303.05564, 229.05411, 153.02038 Quercetin-3-O-gentiobioside
8 18.87 C27H30O16 609.17277 (M-H) 285.05292, 255.04088, 229.06047 Rutin
9 20.04 C28H32O17 639.18480 (M-H) 315.06356, 300.03967, 285.05292, 271.03654, 255.04088, 243.04048 Isorhamnetin-3-O-gentiobioside
10 20.44 C42H40O19 847.24651 (M-H) 685.18401, 641.19370, 545.10708, 431.11530, 386.11676, 224.05689 Sennoside C
11 20.65 C42H38O20 861.22167 (M-H) 699.16529, 655.17221, 610.17178, 559.08668, 537.10288, 431.11530, 386.11676, 269.05651, 224.05689 Sennoside B
12 20.89 C42H40O19 847.24651 (M-H) 685.18401, 641.19049, 545.10708, 479.13189, 431.11530, 386.11676, 341.07979, 269.05651, 224.05689 Sennoside D
13 21.39 C28H34O15 609.17277 (M-H) 479.12654, 317.07126, 270.05650, 153.02038 Neohesperidin
14 22.60 C27H30O15 593.17638 (M-H) 285.05292, 255.04088, 227.04362 Kaempferol-3-O-rutinoside
15 23.26 C21H20O11 447.111181 (M-H) 285.05078, 255.04088, 227.04362 Kaempferol-3-O-glucoside
16 23.48 C42H40O19 847.24282 (M-H) 685.18401, 386.11676, 224.05689 Sennoside derivative
17 23.74 C28H32O16 623.18905 (M-H) 315.06356, 300.03967, 271.03654 Narcissoside
18 24.58 C22H22O12 477.12399 (M-H) 431.11530, 315.06131, 299.03212, 285.05292, 271.03654, 243.04048 Isorhamnetin-3-O-glucoside
19 25.14 C42H40O19 847.24282 (M-H) 685.18401, 386.11676, 224.05689 Sennoside derivative
20 25.36 C42H38O20 861.22167 (M-H) 699.16194, 677.52644, 431.11530, 386.11676, 269.05651, 224.05689 Sennoside derivative
21 26.78 C42H38O20 861.22167 (M-H) 699.15629, 386.11676, 224.05689 Sennoside A
22 29.29 C20H24O9 407.15105 (M-H) 245.09128, 230.06744, 215.07954, 201.06376, 199.04738 Tinnevellin glycoside
23 30.85 C27H30O15 593.17638 (M-H) 269.05651, 225.06422 Emodin-1-O-β-gentiobioside

3.2. EESL Increased Plasma Inflammatory Factors and Disruption of Mucosal Barrier in Mice

The concentration of LPS in the FL and FH groups was significantly increased after oral administration of EESL compared with the NC group (P <0.05); there was a positive correlation between plasma LPS level and the dosage of EESL (Fig. 2A).

Fig. (2).

Fig. (2)

Expressions of pro-inflammatory cytokines and IgA by ELISA assay. The ICR mice were pretreated with 20 μL and 200 μL EESL. A: LPS level; B: IL-1β level; C: IL-6 level; D: IgA level. After treated with the high concentration and low concentration of EESL, the concentrations of inflammatory factors LPS, IL-1β and IL-6 were decreased, and mucosal immunity index IgA was decreased. It was concentration-dependent (*: P < 0.05, n=3).

Compared to the NC group, the expressions of IL-1β and IL-6 were significantly increased (P <0.05); compared to the FL group, the expressions of IL-1β and IL-6 were significantly increased (P <0.05) (Fig. 2B and 2C). The level of plasma IgA in the FL and FH groups significantly decreased (P < 0.05) compared with the NC group; moreover, IgA level in the FL group was significantly higher than in the FH group (P > 0.05) (Fig. 2D).

3.3. EESL Enhance Oxidative Stress Response in Mice

Compared with the NC group, the levels of SOD in the plasma of the FL and FH groups of mice were significantly decreased (P < 0.05), but there was no significant difference between the FL and FH groups (P > 0.05). The levels of MDA and ROS in the plasma of FL and FH groups of mice were significantly increased (P < 0.05), but there was no significant difference between the FL and FH groups (P > 0.05) (Fig. 3).

Fig. (3).

Fig. (3)

SOD and MDA levels in plasma of mice. The ICR mice were pretreated with 20 μL and 200 μL EESL. A: SOD level; B: MDA level; C: ROS level. After treated with the high dose and low dose of EESL, the level of oxidative stress in mice was significantly increased. The SOD levels decreased significantly, MDA and ROS levels increased significantly (*: P < 0.05, n=3).

3.4. EESL Damaged the Tight Junction Structure of Intestinal Mucosa in Mice

After HE staining of the small intestine of experimental mice, it can be observed that the intestinal mucosa of the NC group mice were intact and the cells were arranged neatly, with only a small amount of cell necrosis and shedding. In the FL and FH groups, obvious necrosis of intestinal mucosal cells and loss of mucosa can be seen, and there was significant dilation and congestion of the submucosal capillaries, with a small amount of neutrophil infiltration in the stroma. There was no significant difference between the FL and FH groups (Fig. 4).

Fig. (4).

Fig. (4)

HE staining of mouse intestinal mucosa. A: NC group; B: FL group; C: FH group. The intestinal mucosal structure of mice in NC group was normal. After EESL treatment, obvious necrosis of intestinal mucosal cells and loss of mucosa can be seen, and there was significant dilation and congestion of the submucosal capillaries, with a small amount of neutrophil infiltration in the stroma. There was no significant difference between the FL and FH groups.

Immunohistochemical staining showed that in the NC group, the tight junction proteins ZO-1 and Occludin were distributed along the surface of the intestinal epithelial cells, appearing brownish-yellow, with no expression in the cell nuclei and nuclear membranes. In the FL and FH groups, the ZO-1 and Occludin proteins on the surface of the intestinal epithelial cells were significantly reduced, and some of the surface expression was completely absent; the ZO-1 and Occludin proteins on the surface of the intestinal epithelial cells were further reduced compared to the FL group (Fig. 5).

Fig. (5).

Fig. (5)

Immunohistochemical staining of ZO-1 and Occludin in mouse intestinal mucosa. A: ZO-1 expression in the NC group; B: ZO-1 expression in the FL group; C: ZO-1 expression in the FH group; D: Occludin expression in the NC group; E: Occludin expression in the FL group; F: Occludin expression in the FH group. After immunohistochemical staining, the tight junction proteins ZO-1 and Occludin expression site showed brownish-yellow. ZO-1 and Occludin were distributed along the surface of the intestinal epithelial cells, with no expression in the cell nuclei and nuclear membranes. After EELS treatment, the expressions of ZO-1 and Occludin on the surface of the intestinal epithelial cells were significantly reduced, and some of the surface expression was completely absent. The expressions of ZO-1 and Occludin were concentration-dependent.

3.5. EESL Regulates Plasma Metabolites in Mice

From the PCA scatter plot and OPLS-DA scatter plot, it can be seen that the samples of the NC and FH groups were completely separated in the ESI+ and ESI- modes (Fig. 6). This suggests that EESL can significantly affect plasma metabolomics in mice. It can be seen from the clustering heat map that metabolites in plasma samples of the NC and FH groups differ markedly (Fig. 7).

Fig. (6).

Fig. (6)

PCA score plot and OPLS-DA score plot in the ESI+ and ESI- modes analysis (n = 7). A: PCA score plot analysis in the ESI+ and ESI- modes in NC and FH groups; B: OPLS-DA score plot analysis in the ESI+ and ESI- modes in the NC and FH groups. The samples of the FH and NC groups could be separated and clustered respectively under the ESI+ and ESI- modes, indicating that the metabolomics of mice treated with EESL had significant changes.

Fig. (7).

Fig. (7)

The heat maps of differential metabolites analysis. Rows: metabolites, columns: samples. On the top is the cluster of samples, and on the left is the cluster of metabolites. Red means the metabolites were expressed at a higher level, and blue means the metabolites were expressed at a lower level. A: the ESI+ mode; B: the ESI- mode. Heat map results showed that there were significant changes in plasma concentrations of several metabolites in the FH and NC groups.

In the ESI+ mode, the plasma levels of hydroxybutyric acid, acetic acid, L-acetyl-carnitine, 7α-hydroxy-3-oxo-4-cholestenoate, (E)-2-butenal, creatine, indoles, betaine and niacinamide in the FH group increased if compared with the NC group. However, phosphatidyl choline reduced flavin mononucleotide, ceramide, phosphatidyl ethanolamine, tetrahydrodeoxycorticosterone, 17α,21-dihydroxypregnenol- one, 4-oxy-retinol, retinoid, enolone, 8,11,14-eicosatrienoic acid and m-coumaric acid decreased in the FH group (Table 2).

Table 2.

The differential metabolites between the NC and FH groups.

Metabolite HMDB ID KEGG ID m/z t R (min) vs. NC group
ESI+
2-Hydroxybutyric acid HMDB0000008 C05984 231.08 1.73
PC(16:0/0:0) HMDB0010382 C04230 518.32 6.27
Acetic acid HMDB0000042 C00033 98.98 1.09
L-Acetylcarnitine HMDB0000201 C02571 204.12 1.36
Tetrahydrodeoxycorticosterone HMDB0000879 C13713 373.23 7.52
Methoxamine HMDB0014861 C07513 229.15 0.97
7-Alpha-hydroxy-3-oxo-4-cholestenoate HMDB12458 C17337 431.31 6.15
Indole HMDB0000738 C00463 118.07 3.14
Betaine HMDB0000043 C00719 118.09 0.86
Niacinamide HMDB0001406 C00153 123.06 1.37
ESI-
Arachidonic acid HMDB0001043 C00219 683.59 23.00
PE(18:2(9Z,12Z)/22:4(7Z,10Z,13Z,16Z)) HMDB0009108 C00350 836.55 6.05
Tryptophanol HMDB0003447 C00955 206.08 4.41
15(S)-Hydroxyeicosatrienoic acid HMDB0005045 C00861 321.24 7.15
7α-hydroxy-3-oxo-4-cholestenoate HMDB12458 C17337 429.30 6.15
L-Leucine HMDB0000687 C00123 130.09 1.92
Enkephalin L HMDB0001045 C16041 554.26 0.01
Hypoxanthine HMDB0000157 C00262 271.07 3.15
12-HETE HMDB0006111 C14777 319.23 6.76
Deoxycorticosterone HMDB0000016 C03205 311.20 7.70

In the ESI- mode, compared with the NC group, phosphatidyl ethanolamine, cysteine sulfonic acid, apigenin, gamma-L-glutamyl taurine, 15(S)-hydroxyeicosanotrienoic acid, monohydroxy-bile acid, L-leucine, 3-(3-hydroxyphenyl) propionic acid, phosphatidylcholine, taurine, vitamin E, norepinephrine, indolealdehyde, hypoxanthine 2,3-diaminopropionic acid, xanthine, and deoxycorticosterone increased in the plasma of mice in FH group, but arachidonic acid, 5'-pyridoxine phosphate, n-oleylethanolamine, tryptophan, epinephrine, xanthine nucleoside, dihydroisoflavone, dihydrocortisol, enkephalin, 12-hydroxy-eicosanotetraenoic acid, and ceramide decreased (Table 2).

The potential differential metabolites were imported into the KEGG database for enrichment analysis. The results showed that EESL could affect multiple metabolic pathways in mice, including taurine and taurine metabolism, glycerol phospholipid metabolism, arachidonic acid metabolism, tryptophan metabolism, sphingolipid metabolism (Fig. 8).

Fig. (8).

Fig. (8)

EESL regulates metabolic pathways in mice. a: Glycerophospholipid metabolism; b: Arachidonic acid metabolism; c: Glycerophospholipid metabolism; d: Tryptophan metabolism; f: Sphingolipid metabolism. The regulation of EESL on mouse plasma metabolism involves several pathways, including glycerophospholipid metabolism, arachidonic acid metabolism, glycerophospholipid metabolism, tryptophan metabolism and sphingolipid metabolism.

4. DISCUSSION

Senna Leaf is a commonly used herbal remedy for constipation [9, 16]. Many users believe that Chinese herbs are safe, but this belief is not incorrect. Our study found that oral EESL increased the concentration of bacterial exotoxins in the blood of mice. In this study, we first found that EESL can increase the concentration of Lipopolysaccharides (LPS) in mouse plasma. LPS are primarily derived from gram-negative bacteria in the host gut and have strong pro-inflammatory ability [14, 17]. We speculated that EESL can damage the integrity of the mucosal barrier, and intestinal bacterial LPS can enter the bloodstream through the intestinal mucosa to further induce an inflammatory response. Our immunohistochemical results also confirmed that EESL could inhibit the expression of intestinal mucosal barrier proteins ZO-1 and Occludin in mice. Excessive use of Senna leaves can cause disruption of the intestinal flora, it may also increase the number of gram-negative bacteria, that is, increase the production of LPS [18, 19]. We speculate that oral administration of EESL may disrupt the normal structure of the intestinal flora and increase the number of harmful gram-negative bacteria in the intestines, thereby increasing the concentration of the main inflammatory factor LPS in gram-negative bacteria, causing damage to the intestinal mucosa and further triggering systemic inflammation.

In this study, the plasma levels of proinflammatory cytokines such as IL-1β in EESL treated mice were significantly increased. IL-1β and IL-6 are important pro-inflammatory cytokines, which can induce inflammatory tissue damage [20]. We believe that the increased levels of pro-inflammatory cytokines IL-1β and IL-6 in mouse plasma may be the result of LPS-induced inflammation. The high levels of pro-inflammatory cytokines in the plasma not only reflect immune damage to the mouse intestinal mucosa, but also indicate a systemic high-level inflammatory response [21]. Prolonged systemic inflammation can trigger various chronic diseases, such as aging, non-alcoholic fatty liver disease, and chronic obstructive pulmonary disease [22, 23]. Therefore, it is necessary for patients who use senna leaf for a long time to pay attention to the levels of pro-inflammatory cytokines in their own plasma. IgA plays an important role in host mucosal immunity [24, 25]. The observed effects may be related to the damage of the mucosal barrier, and the change that helps the proinflammatory substances of gut bacteria to enter the blood circulation and induce an inflammatory response [26].

ROS, SOD and MDA are important factors in the oxidative stress response, and the essence of the oxidative stress response is the imbalance between oxidation and antioxidant systems in cells [27, 28]. In this study, the plasma oxidative stress level of EESL treated mice was significantly increased. When the organism or cells are stimulated, a large amount of oxygen free radicals are produced, leading to tissue damage [29]. MDA is the end product of lipid peroxidation of polyunsaturated fatty acids and is involved in lipid oxidation [30]. It is one of the most commonly used biomarkers for evaluating oxidative stress response [31]. SOD is one of the main members of the antioxidant enzyme system in the organism and is a cytoplasmic low-molecular-weight metal protein that can reduce reactive oxygen species to reduce the degree of cell damage [32, 33]. The increase in LPS levels in the blood after EESL administration in mice was the main cause of enhanced oxidative stress response in the mice. Oxidative stress and inflammation were closely related and mutually promote each other, leading to intestinal mucosal damage in mice [34].

The results of mice plasma metabolomics showed that the plasma metabolism of arachidonic acid, tryptophan and glycerophospholipid significantly changed. Arachidonic acid is one of the most widely distributed and biologically active omega-6 polyunsaturated fatty acids [35]. Arachidonic acid binds mainly to phosphatidyl choline or phosphatidyl ethanolamine glycerol and is present in cell membranes [36]. In vivo phospholipase A2 (PLA2) is activated when an inflammatory substance (e.g., LPS) intrudes into an organism, catalyzing the hydrolysis of phospholipid diacylates, resulting in the decomposition of arachidonic acid into free forms for release into cytoplasm [37, 38]. Free arachidonic acid, when combined with free 5-lipoxyase activator protein, can be catalyzed by 5-lipoxyase into intermediate eicosanotetraenoic acid 5-hydroxyperoxide, which is then oxidized to leukotriene A4 and 5-hydroxyeicosanotetraenoic acid [39, 40]. Leukotriene is a highly potent chemokine of inflammatory cells, which can also induce inflammatory response [41].

We also found that the content of hydroxybutyric acid, acetic acid, 7α-hydroxy-3-oxo-4-cholestenoate, indoles, betaine and niacinamide increased in mice plasma, suggesting that this was a stress response to inflammation in vivo. Hydroxybutyric acid and acetic acid belong to short-chain fatty acids, which are anti-inflammatory substances obtained from intestinal flora fermentation of indigestible dietary fiber, and have a wide range of anti-inflammatory functions [42-44]. Betaine is an amino acid derivative that is not only ingested by humans in food, but also synthesized in liver and kidneys as endogenous betaine [45]. An important function of betaine is to suppress the expression of inflammatory factors, scavenge free radicals, and act as an antioxidant, which can effectively inhibit the inflammatory response in live organisms [46, 47]. Indole is the metabolite of tryptophan in human gut [48]. Some cells in the gut can metabolize tryptophan into indole derivatives, which are ligands of aryl hydrocarbon receptor (AHR) [49, 50]. AHR can affect cellular signaling by interacting with various regulatory signaling proteins, including PAS heterodimer chaperones ARNT (aromatics receptor nuclear transporters), immune-like proteins such as heat shock protein-90, AIP, p23, protein kinases, and phosphokinases (e.g., tyrosine kinases, CK2, PKC, etc.) [51, 52]. AHR also interacts with signaling pathway mediated by ESR (estrogen receptor) and other hormone receptors, such as hypoxia, NF-κB, and Rb proteins [53].

Tryptophan and its metabolites are currently a hot topic of research in the prevention and alleviation of drug dependence and addiction [54, 55]. Patients who use Senna leaves for long-term treatment of constipation may also experience drug dependence, but the exact mechanism is not clear [56]. In this study, we noticed a significant decrease in tryptophan levels in the plasma of mice after oral administration of Senna leaves. Tryptophan is an essential amino acid that cannot be synthesized by the human body and must be obtained from food [57]. It plays a crucial role in various metabolic processes in the human body, including promoting muscle development and enzyme function, as well as regulating the production and physiological effects of various neurotransmitters in the body [58, 59]. Tryptophan is a precursor to metabolites in the serum, including serotonin, melatonin, and kynurenine [60]. Most of the daily intake of tryptophan is oxidized through the kynurenine pathway, while the rest is degraded through the serotonin pathway [61-63]. Tryptophan is first converted into 5-hydroxytryptophan, which is then metabolized into serotonin by different enzymes, and further metabolized into melatonin [64, 65]. The kynurenine pathway involves the generation of kynurenic acid (KA) and the formation of 3-hydroxyanthranilic acid, and is involved in the further synthesis of quinolinic acid (QA) [66]. It is currently believed that both QA and KA have significant effects on neurons in the central nervous system, with QA being a potential neurotoxin and KA being a neuroprotective agent [67, 68]. 3-hydroxykynurenine is a third metabolite of kynurenine, which may generate free radicals and exacerbate neuronal damage [69, 70]. We speculate that the regulation of tryptophan metabolism by Senna leaves may be a potential cause of addiction, and whether supplementation with tryptophan can prevent and treat Senna leaf dependence is worthy of further in-depth study in the next stage.

CONCLUSION

In summary, we believe that Ethanol Extract of Senna Leaf (EESL) can disrupt intestinal mucosal integrity, leading to the entry of bacterial lipopolysaccharides (LPS) into the bloodstream and triggering systemic inflammatory and oxidative stress reactions. We believe that patients who use Senna leaf for a long period of time should regularly test indicators such as LPS and SOD in their blood to avoid chronic inflammatory reactions caused by LPS from the intestines entering the bloodstream. The reason for patients developing drug dependence on Senna Leaf may be related to its regulation of plasma tryptophan metabolism. Supplementing exogenous tryptophan may be an effective method for preventing drug dependence, but further research is still needed.

ACKNOWLEDGEMENTS

Thanks to associate professor Shi Yingjuan, School of Foreign Languages, Jiangsu University for her help in editing. Thanks to Professor Li Haitao, Energy Research Institute of Jiangsu University, for providing experimental conditions and technical guidance for senna leaf extraction.

LIST OF ABBREVIATIONS

AHR

Aryl Hydrocarbon Receptor

ARNT

Aromatics Receptor Nuclear Transporters

EESL

Ethanol Extract of Senna Leaf

KA

Kynurenic Acid

LPS

Lipopolysaccharides

PLA2

Phospholipase A2

QA

Quinolinic Acid

AUTHORS’ CONTRIBUTIONS

The authors confirm their contribution to the paper as follows:

Study concept or design: X.H., W.S., C.S., J.T., L.W.

Writing the paper: F.Y.

All authors reviewed the results and approved the final version of the manuscript.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

The animal study was conducted in accordance with the National Institutes of Health guide for the care and use of Laboratory animals (NIH Publications No. 8023, revised 1978), and approved by the Ethics Committee of Jiangsu University (protocol code UJS-IACUC-AP-2021022804).

HUMAN AND ANIMAL RIGHTS

This study adheres to internationally accepted standards for animal research. The ARRIVE guidelines were employed for reporting experiments involving live animals, promoting ethical research practices.

CONSENT FOR PUBLICATION

Not applicable.

AVAILABILITY OF DATA AND MATERIALS

The data and supportive information is available within the article.

FUNDING

This research was funded by Suqian city guiding science and technology plan (No. 2022032).

CONFLICT OF INTEREST

The authors declare no conflict of interest financial or otherwise.

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Data Availability Statement

The data and supportive information is available within the article.


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