Skip to main content
Download PDF

Danggui Sini decoction alleviates oxaliplatin-induced peripheral neuropathy by regulating gut microbiota and potentially relieving neuroinflammation related metabolic disorder

Chinese Medicine volume 19, Article number: 58 (2024) Cite this article

Abstract

Background

Danggui Sini decoction (DSD), a traditional Chinese medicine formula, has the function of nourishing blood, warming meridians, and unblocking collaterals. Our clinical and animal studies had shown that DSD can effectively protect against oxaliplatin (OXA)-induced peripheral neuropathy (OIPN), but the detailed mechanisms remain uncertain. Multiple studies have confirmed that gut microbiota plays a crucial role in the development of OIPN. In this study, the potential mechanism of protective effect of DSD against OIPN by regulating gut microbiota was investigated.

Methods

The neuroprotective effects of DSD against OIPN were examined on a rat model of OIPN by determining mechanical allodynia, biological features of dorsal root ganglia (DRG) as well as proinflammatory indicators. Gut microbiota dysbiosis was characterized using 16S rDNA gene sequencing and metabolism disorders were evaluated using untargeted and targeted metabolomics. Moreover the gut microbiota mediated mechanisms were validated by antibiotic intervention and fecal microbiota transplantation.

Results

DSD treatment significantly alleviated OIPN symptoms by relieving mechanical allodynia, preserving DRG integrity and reducing proinflammatory indicators lipopolysaccharide (LPS), IL-6 and TNF-α. Besides, DSD restored OXA induced intestinal barrier disruption, gut microbiota dysbiosis as well as systemic metabolic disorders. Correlation analysis revealed that DSD increased bacterial genera such as Faecalibaculum, Allobaculum, Dubosiella and Rhodospirillales_unclassified were closely associated with neuroinflammation related metabolites, including positively with short-chain fatty acids (SCFAs) and sphingomyelin (d18:1/16:0), and negatively with pi-methylimidazoleacetic acid, l-glutamine and homovanillic acid. Meanwhile, antibiotic intervention apparently relieved OIPN symptoms. Furthermore, fecal microbiota transplantation further confirmed the mediated effects of gut microbiota.

Conclusion

DSD alleviates OIPN by regulating gut microbiota and potentially relieving neuroinflammation related metabolic disorder.

Introduction

Danggui Sini decoction (DSD) is an herbal formula recorded in the “Treatise on Febrile Diseases” that consists of Angelicae Sinensis Radix from Angelica sinensis (Oliv.) Diels, Paeoniae Radix Alba from Paeonia lactiflora Pall., Cinnamomi Ramulus from Cinnamomum cassia Presl, Asari Radix et Rhizoma from Asarum heterotropoides Fr. Schmidt var. mandshuricum (Maxim.) Kitag., Tetrapanacis Medulla from Tetrapanax papyrifer (Hook.) KKoch, Jujubae Fructus from Ziziphus jujuba Mill. and Glycyrrhizae Radix et Rhizoma from Glycyrrhiza uralensis Fisch.. This prescription has the function of nourishing blood, warming meridians, and unblocking collaterals [1]. Therefore, DSD has anti-inflammatory and analgesic effects, and improves peripheral blood circulation and nerve conduction velocity [2, 3], which can mainly be used to treat diabetes-induced peripheral neuropathy, rheumatoid arthritis, and spinal cord injury-induced neuropathy.

Oxaliplatin (OXA) is a third-generation platinum-based chemotherapeutic drug that has no cross-resistance with cisplatin, and has been widely used in tumor therapy. OXA-induced peripheral neuropathy (OIPN) is the main dose-limiting adverse effect of OXA regimen, which may cause an insufficient dosage resulting in poor chemotherapy effects and severely decrease patient's quality of life [4]. When the cumulative dosage of OXA exceeds 780–850 mg/m2, the incidence of OIPN can reach 76–90% [5, 6] and last for several years [7, 8]. Although numerous preventive therapies are proposed to address OIPN, but many strategies are still ineffective. Duloxetine is the only drug moderately recommended by the American Society of Clinical Oncology (ASCO) for the prevention of OIPN. While this recommendation may help ameliorate the symptom of neuropathic pain in patients experiencing OIPN, but it may also cause adverse events (including weight loss, anorexia, nausea, fatigue, headaches) and weaken the cancer treatment [9, 10]. Given this controversy, identifying safe and effective therapies against OIPN is a prominent concern.

Researchers have shown OXA can cause nervous system inflammation by disrupting dysfunction of gut microbiota including intestinal permeability and bacterial metabolism, then leading to OIPN [11,12,13]. Gut microbiota sends signals to the nervous system by producing inflammation related metabolites and neuroactive metabolites [14]. For example, lipopolysaccharide (LPS) released by pathogenic bacteria activates toll-like receptor (TLR) signaling (especially TLR4) and produces neuroinflammation [11, 15]. While short-chain fatty acids (SCFAs) generated by beneficial bacteria improve neuroinflammation [16]. Besides, unbalanced neurotransmission can induce nervous system inflammation by triggering the release of proinflammatory cytokine [17]. Gut microbiota imbalance caused by OXA can promote the production of bacterial endotoxin (eg. LPS) [11, 18] and neurotransmitters (eg. gamma aminobutyric acid, GABA and glutamate) [19]. These will ultimately result in inflammation of the dorsal root ganglia (DRG), a main site of platinum accumulation during OXA exposure [20]. In this way, gut microbiota-mediated DRG inflammation may induce the development of OIPN [11].

The main clinical manifestations of OIPN are numbness in the hands and feet, abnormal or dull sensation, and with or without pain. It has the characteristic of worsening when encountering cold and slowing down when encountering heat, which is equivalent to the category of “Arthromyodynia” in traditional Chinese medicine. In clinical practice, the classic formula DSD could treat “Arthromyodynia” referred to the traditional function of nourishing blood, warming meridians, and unblocking collaterals [3], therefore, be used to prevent OIPN. Our previous clinical study had demonstrated convincingly that DSD could effectively prevent and treat OIPN [21]. Meanwhile, animal studies also showed that DSD had neuroprotective effects against OIPN by reducing the current amplitude of DRG cells undergoing agonists stimuli, inhibiting the inflammatory response, enhancing amounts of Nissl bodies, and improving ultra-microstructures in DRG cells [22]. Moreover, high-dose of DSD provided the best protective effect by significantly enhancing amounts of Nissl bodies, improving ultra-microstructures in DRG cells [22], and relieving mechanical allodynia in OIPN model rats than the low-dose and medium-dose of DSD [23]. However, the underlying mechanisms of DSD-mediated protection on OIPN are still unclear.

In this study, a rat model of OIPN was established to verify the protective effects of DSD. Then gut microbiota diversity and metabolic changes in feces and plasma were assessed respectively. The mediated mechanism of gut microbiota in protective effects of DSD against OIPN was further verified by fecal microbiota transplantation (FMT). Finally, the correlation among gut microbiota and metabolism involved in DSD treatment was discussed.

Material and methods

OXA, DSD formulation, and antibiotics

OXA was obtained from Jiangsu Hengrui Pharmaceutical Co., Ltd. (Lianyungang, China). The granules of Angelica Sinensis Radix (batch no. 211018303), Paeoniae Radix Alba (batch no. 21071953), Cinnamoni Cortex (batch no. 21100113), Asari Radix et Rhizoma (batch no. 21070893), Akebiae Caulis (batch no. 21012303), Jujubae Fructus (batch no. 21063633) and Glycyrrhizae Radix et Rhizoma (batch no. 21080543) were purchased from Tianjiang Pharmaceutical Co., Ltd. (Jiangyin, China). Antibiotics, including ampicillin (RH279015), metronidazole (RH298141), neomycin (F0649), and vancomycin (FY20390), were from Nantong Jingwei Biotechnology Co., Ltd. (Nantong, China).

Preparation and chemical characterization of DSD

DSD was prepared according to the adult prescription raw drug dosage of 54 g: Angelica Sinensis Radix (12 g), Paeoniae Radix Alba (9 g), Cinnamomi Ramulus (9 g), Asari Radix et Rhizoma (3 g), Tetrapanacis Medulla (6 g), Jujubae Fructus (9 g), and Glycyrrhizae Radix et Rhizoma (6 g). Formula granules were dissolved in warm water at the desired volume. The final concentrations prepared are that low-dosage is 0.62 g/mL, medium-dosage is 1.24 dosage g/mL, and high-dosage is 2.48 g/mL [22]. Our previous studies showed that high-dose of DSD provided the best treatment effect [22, 23], so only a high-dose (2.48 g/mL) experimental group was established. The major chemical constituents in the DSD formula granules were qualitatively characterized by ultraperformance liquid chromatography with quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS/MS) as previously described [24]. Nine main constituents, namely albiflorin, paeoniflorin, liquiritin apposite, liquiritin, galloylpaeoniflorin or galloylalbiflroin or their isomers, glyyunnanprosapogenin, glycyrrhizic acid, uralsaponin B, and ligustilide, were determined. Representative chromatograms and results of chemical marker analysis were shown in Additional file 1: Fig. S1 and Table S1. The voucher specimens were conserved in the Department of Metabolomics, Jiangsu Province Academy of Traditional Chinese Medicine.

Animals

Male Wistar rats (weight 200 ± 20 g) were obtained from the Shanghai Municipal Institute of Family Planning (Shanghai, China). The rats were maintained under a 12-h light/dark cycle with free access to water and chow. Experimental schemes were approved by the Animal Ethics Committee of Jiangsu Province Academy of Traditional Chinese Medicine and implemented in strict accordance with the Guide for Care and Use of Laboratory Animals published by the US National Institutes of Health.

OIPN model and experimental protocols

Rats were randomly divided into four groups (n = 12 per group): Control (CON), Oxaliplatin (OXA), DSD_Oxaliplatin (DSDOXA), and ABX_Oxaliplatin (ABXOXA). We established the OIPN model based on a previously described method [25]. In brief, lyophilized OXA dissolved in a 5% glucose solution was intraperitoneally injected into rats (4 mg/kg twice per week for 4 weeks) on days 1, 2, 8, 9, 15, 16, 22, and 23. The antibiotic cocktail (ABX) was composed of 1 g/L of ampicillin, neomycin, metronidazole and 0.5 g/L of vancomycin [26], and was freshly prepared per two days and kept wrapped in tin foil to avoid exposure to light. The CON group was left untreated, while OIPN was induced in the other three groups as described above. DSD was orally administered to rats in the DSDOXA group at a dose of 10 ml/kg (2.48 g/mL) once daily for 28 days. ABX diluted in drinking water was administered to rats in the ABXOXA group from 14 days before OXA administration until the end of the study. The CON and OXA groups received saline. All rats were dissected on day 29 to collect fresh fecal samples, serum, plasma, DRG, and colon tissue samples. The flow charts of experimental procedures are shown in Fig. 1A and Additional file 1: Fig.S6-1A.

Fig. 1
figure 1

DSD alleviated OIPN and the inflammatory response. A Protocols of drug administration and mechanical allodynia test, in the rat OIPN model. B Body weight measurements. C Measurement of withdrawal threshold for mechanical allodynia (von Frey test). D Representative images of Nissl-stained DRG sections (63 ×). Lightly stained cytoplasm and shrunken nucleoli (red arrow) were analyzed. Histograms showed nucleolar area. E ELISA-based detection of LPS, IL-6, and TNF-α in serum and DRG extracts. F Analysis of IL-6 and TNF-α mRNA levels in DRG by qPCR. *P < 0.05, **P < 0.01, vs. OXA group; n = 11 in the CON group; n = 10 in the OXA and DSDOXA groups, n = 9 in the ABXOXA group

Full size image

Fecal microbiota transplantation (FMT)

ABX was administered to recipient rats (n = 12 per group) during 5 days before FMT [27]. Fresh stools from rats in the OXA, DSD, and DSDOXA groups were administered to OXA-treated recipient rats via FMT once daily for 28 days. Fecal samples were collected daily and mixed with tenfold saline in sterile tubes, and the resulting suspensions were centrifuged at 4000g for 5 min. Bacteria-enriched supernatants were immediately collected and orally administered to recipient rats at a dose of 10 mL/kg to avoid changes in bacterial components [28]. OIPN was induced in recipient rats as described above and sacrificed at day 29 to collect fresh fecal samples, serum, plasma, DRG, and colon tissue.

Assessment of mechanical allodynia

Von Frey filaments (Aesthesio, DanMic Global, LLC, USA) were used to evaluate mechanical allodynia on treatment days 0, 7, 14, 21, and 28, as described before [29]. Rats were placed for about 10 min in a small cage with a mesh floor to acclimatize to the test. A vertical stimulus was focused on the plantar surface of the hind paw, to produce a constant force for 5 s [30]. When the rat manifested a positive response, such as withdrawing or licking the paw, the minimum force eliciting reproducible paw withdrawal or shaking was recorded. Touch responses to Von Frey filaments with varying bending forces were measured 5 consecutive times with 30 s stimulation intervals. Three or more positive reactions were regarded as mechanical pain sensitivity, with a maximum strength of 15 g. A persistent decrease in the mechanical threshold signaled the presence of neurotoxicity.

DRG histology

Nissl’s staining was used to assess damage to DRG neurons. Lumbar (L4-L5) DRG tissues were fixed in 4% paraformaldehyde solution, embedded in paraffin, and sectioned at 4–5 μm before conventional Nissl’s staining. Stained sections were examined through a light microscope.

Colon histology

Hematoxylin and eosin (H&E) staining was used to assess damage to colon tissue. Samples were fixed in 4% paraformaldehyde, embedded in paraffin, and sectioned at 4–5 μm before routine H&E processing. Stained sections were examined through light microscopy.

Immunohistochemistry (IHC) was used to assess the expression of tight junction-related proteins in paraformaldehyde-fixed, paraffin embedded colon tissue. Citrate buffer (pH 6.0) was used for antigen retrieval. Endogenous peroxidase was blocked by 3% H2O2 and non-specific antigens were blocked with serum. The sections were incubated with primary antibodies against Mucin 2 (MUC 2) (1:500; ab272692; Abcam, USA), Claudin-1 (1:100; 13050-1-AP; Proteintech, China), Occludin (1:200; ab216327), and ZO-1 (1:500, ab221547; Abcam, USA), followed by addition of HRP-conjugated antibodies (1:100, Baiqiandu Biological Tech., Wuhan, China). DAB was used as chromogen for signal detection, and images were acquired by light microscopy.

Transmission electron microscopy (TEM) was used to assess the ultrastructure of colon tissue. Samples were fixed in 4% glutaraldehyde, post-fixed in 1% osmic acid at 25 °C for 2 h, dehydrated with graded ethanol series, embedded in Epon 812, sectioned into ultrathin slices (60–80 nm), double-stained with uranium acetate and lead citrate, and finally examined by TEM.

Enzyme-linked immunosorbent assay (ELISA)

ELISA kits for determination of LPS (MBE11054), IL-6 (MBE10288), and TNF-α (MBE10037) in serum and DRG extracts were obtained from Nanjing Mallbio Biotech. Co., Ltd. (Nanjing, China) and utilized based on the manufacturer’s instructions.

Gene expression analysis

Expression levels of TNF-a and IL-6 mRNA were quantified by real-time PCR (qPCR) using total RNA extracted from DRG based on the instructions of the FastPure Cell/Tissue Total RNA Isolation Kit (Vazyme, Nanjing, China). RNA was reverse-transcribed to cDNA using a QuantiTect® Reverse Transcription Kit (Qiagen, CA, USA), and qPCR analysis implemented using a QuantiNova ™ SYBR® Green PCR Kit (Qiagen, CA, USA) on an AB StepOnePlus real-time PCR system (Applied Biosystems, Foster City, CA, USA). Sequences of primers for qPCR are shown in Additional file 1: Table S2. The expressions of target genes were normalized to GAPDH and calculated by the 2−ΔΔCт algorithm.

Sequencing analysis of 16S rDNA

At the end the experimental treatments (day 29) fresh rat feces were collected on dry ice and transferred to Shanghai Biotree Biotech Co., Ltd. (Shanghai, China) for 16S rDNA assays. The QIAamp Fast DNA Stool Mini Kit (Qiagen, CA, USA) was used to extract microbial DNA. The hypervariable V3–V4 region of the 16S rDNA sequence was targeted for PCR amplification, followed by purification and quantification. Purified amplicons were sequenced on an Illumina NovaSeq 6000 platform (Illumina, San Diego, CA, USA), and analyzed for microbial diversity.

GC–MS-based SCFAs analysis

Fecal samples were softened with dH2O, homogenized, ultrasound-treated, and centrifuged. Supernatants were mixed with 0.1 mL 50% H2SO4 and 0.8 mL 2-methylvaleric acid (25 mg/mL stock in ethyl ether) as internal standard. Samples were placed on an oscillating shaker, ultrasonicated, and centrifuged, and the upper ether solution was subjected to GC–MS analysis on An Agilent 7890 gas chromatograph system and an Agilent 5975C mass spectrometer. Data were gathered in multiple reaction monitoring modes with characteristic fragment ions of SCFAs obtained by references. Quantitative measurements of SCFAs in feces were performed according to the data acquired and standard curves from references.

UHPLC-QE-MS-based untargeted metabolomics analysis

Untargeted metabolomics analyses were performed on plasma samples by liquid chromatography-tandem mass spectrometry (LC–MS/MS). The UHPLC system (Vanquish, Thermo Fisher Scientific, MA, USA) with UPLC BEH Amide columns (2.1 mm × 100 mm, 1.7 µm) was connected to a Q Exactive HFX mass spectrometer (Orbitrap MS, Thermo Scientific, MA, USA). Detailed metabolite extraction, LC–MS/MS analysis, data preprocessing and annotation, and data analysis procedures were described in the Additional file 1: Material 3. The online analytical tool MetaboAnalyst (https://www.metaboanalyst.ca) was applied for analyzing pathway enrichment.

Statistical analysis

All data are presented as mean ± standard error of the mean (SEM). Statistical analyses were conducted on GraphPad Prism (GraphPad Software, CA, USA). Differences between groups were analyzed by unpaired two-tailed Student’s t-test. P < 0.05 was considered significant. Correlation coefficients were assessed by Spearman’s correlation analysis.

Results

DSD alleviated OIPN by inhibiting DRG inflammation

In OXA group, OXA caused symptoms of body weight loss, decreased withdrawal threshold for mechanical allodynia, and neuronal cell injury (Fig. 1). DSD treatment improved OXA-induced body weight loss (Fig. 1B). As expected, mechanical pain thresholds were persistently decreased by OXA treatment (P < 0.01; Fig. 1C). Notably, by the end of treatments (day 28), mechanical pain thresholds after DSD treatment were significantly increased by 176% (P < 0.01), with no significant differences compared with the CON group (Fig. 1C). In line with these findings, DSD treatment significantly enhanced stained cytoplasm and increased shrunken nucleoli by 91%, improved OXA-induced DRG injury (P < 0.01) (Fig. 1D).

ELISA results showed that OXA treatment increased the expression of LPS, IL-6, and TNF-α in both serum and DRG, and that DSD treatment significantly reversed this effect (Fig. 1E). DSD significantly inhibited the expressions of LPS (20%), IL-6 (15%), and TNF-α (18%) in serum and LPS (25%), IL-6 (14%), and TNF-α (39%) in DRG comparing to OXA group. Gene expression analysis by qPCR showed that DSD remarkably attenuated the mRNA levels of IL-6 (23%) and TNF-α (59%) in DRG (Fig. 1F). These data support the conclusion that DSD protects against OIPN by inhibiting the inflammatory response in DRG.

DSD protected against OXA-induced gut microbiota dysbiosis

To assess the relationship between OIPN and specific alterations in the gut microbiota, we first examined microbiome diversity. The Chao1 and Shannon indexes were decreased after OXA administration, and DSD treatment reversed this trend (Additional file 1: Fig. S4). Principal coordinate analysis (PCoA) indicated obvious clustering of amplicon sequence variants (ASVs) abundance in the three groups (nanosim: R = 0.442387, P = 0.001, Fig. 2A). Variance analysis was next used to assess changes in gut microbiota related to DSD treatment. At the phylum level, the abundance of Firmicutes was decreased by 30%, while that of Bacteroidetes was increased by 58% after OXA treatment. The ratio of Firmicutes to Bacteroidetes was decreased by 60% after OXA treatment (P < 0.05). Treatment with DSD increased the ratio by 35%, but not significantly (Fig. 2B). Intergroup differences in bacterial composition were next assessed at the genus level (Fig. 2C). 11 genera were significantly different (6 were increased such as Clostridium and Prevotella_9 and 5 were decreased such as Faecalibaculum, Allobaculum, Rhodospirillales_unclassified, and Dubosiella) after OXA administration. 17 genera were significantly different (14 were increased such as Faecalibaculum, Allobaculum, Dubosiella, Rhodospirillales_unclassified, UCG-005, Prevotellaceae_UCG-001, Peptococcaceae_unclassified, UCG-007, Frisingicoccus, Holdemania, Faecalicatena, and Negativibacillus and 3 were decreased including Anaerotignum, Rikenellaceae_RC9_gut_group, and Oscillospiraceae_unclassified) by DSD treatment. In particular, significantly increased abundance of four beneficial genera that were significantly downregulated by OXA treatment, namely Faecalibaculum (90 times), Allobaculum (19 times), Dubosiella, and Rhodospirillales_unclassified, was detected after DSD treatment.

Fig. 2
figure 2

DSD protected against OXA-induced gut microbiota imbalance. A PCoA analysis of gut microbiota composition based on ASVs. B Phylum-level analysis of gut bacteria diversity among experimental groups. Histograms show Firmicutes to Bacteroidetes ratios. C Genus-level analysis of gut bacteria diversity among the experimental groups. D Heatmap of functional profiles of microbial communities in the CON, OXA, and DSDOXA groups. Gradient transition from blue to red reflects change in abundance, from low to high. *P < 0.05, **P < 0.01, vs. OXA group; n = 6 in every group

Full size image

Based on the above data, we next analyzed functional alterations associated with dysregulated gut microbiota in the OIPN rat model (Fig. 2D). Pathway enrichment analysis showed that multiple metabolic pathways, including ribosome biogenesis, carbohydrate metabolism, phenylpropanoid biosynthesis, protein folding and associated processing, mineral absorption, alanine, aspartate, and glutamate metabolism, nitrogen metabolism, d-arginine and d-ornithine metabolism, d-glutamine and d-glutamate metabolism, lipopolysaccharide biosynthesis proteins, lipopolysaccharide biosynthesis, lipid metabolism, and fatty acid metabolism were significantly impacted by OXA treatment. Notably, these metabolic alterations especially d-glutamine and d-glutamate metabolism, lipopolysaccharide biosynthesis, were attenuated or reversed after administration of DSD (Fig. 2D).

DSD attenuated OXA-induced metabolic alterations

To evaluate whether DSD treatment can counteract OXA-related metabolic alterations, we conducted untargeted metabolomics analyses in plasma. Volcano plots indicated a differential metabolite profile after both OXA and DSD treatments (Fig. 3A). Specifically, 31 differential metabolites (20 upregulated and 11 downregulated ones) were recorded after OXA treatment compared to the CON group. In turn, 34 differential metabolites (20 downregulated and 14 upregulated ones) were determined by DSD administration (Additional file 1: Table S5-1 and S5-2). Venn diagram analyses showed four differential metabolites in common among those two groups (Fig. 3B). Under two different comparison strategies, the most relevant pathways co-enriched by the four shared differential metabolites included pyrimidine metabolism, sphingolipid metabolism, alanine, aspartate and glutamate metabolism, ABC transporters, and d-amino acid metabolism (Fig. 3C). DSD significantly adjusted the abundance of the four critical metabolites in all the co-enriched pathways as well as in other three pathways, namely glutamatergic synapse, GABAergic synapse, and dopaminergic synapse (P < 0.05). Specifically, after DSD treatment, pi-methylimidazoleacetic acid (neurotoxins), homovanillic acid, and l-glutamine (neurotransmitters) were decreased, whereas sphingomyelin (d18:1/16:0) (neuroprotective agents) was increased (P < 0.05, Fig. 3D). These data demonstrated that OIPN is associated with significant changes in plasma metabolome, which can be counteracted by treatment with DSD.

Fig. 3
figure 3

DSD attenuated OXA-induced metabolic alterations. A Volcano plots showing differential metabolites under two comparison strategies. B Venn plot showing overlapping differential metabolites under two comparison strategies. C Bubble plots showing the most relevant pathways co-enriched by the differential metabolites. D Relative abundance of critical and prominent secondary metabolites associated with the most relevant metabolic pathways in the three groups, expressed as relative increase. E GC–MS analysis of SCFAs (acetic acid, butyric acid, valeric acid, and decanoic acid) in feces. F Heatmap of Spearman’s correlation between DSD-adjusted gut microbiota and regulated metabolites. *P < 0.05, **P < 0.01, vs. OXA group; n = 6 in every group

Full size image

Given that the pro-proliferative effects of DSD on SCFA-producing bacteria, we employed GC–MS based targeted metabolomics to evaluate fecal levels of SCFAs. Results showed that DSD treatment increased the OXA-induced decrease of acetic acid, butyric acid, valeric acid, and decanoic acid (Fig. 3E).

DSD-recovered gut microbiota was closely related to metabolism

Spearman’s correlation analysis was used to assess potential correlations between gut microbiota composition and metabolite abundance after DSD treatment (Fig. 3F). Acetic acid, butyric acid, valeric acid, and decanoic acid contents were positively correlated with Prevotellaceae_UCG-001, Faecalibaculum, Clostridium, UCG-005, and Peptococcaceae_unclassified. Homovanillic acid levels were positively correlated with Prevotella_9, and while negatively correlated with Faecalibaculum, UCG-005, Dubosiella, Rhodospirillales_unclassified, and Peptococcaceae_unclassified. Sphingomyelin (d18:1/16:0) showed a positive correlation with Dubosiella, Rhodospirillales_unclassified, and UCG-005, and displayed a negative correlation with Prevotella_9. Pi-methylimidazoleacetic acid levels were positively correlated with unclassified Oscillospiraceae and Anaerotignum, and negatively correlated with Holdemania and Allobaculum. l-glutamine was positively correlated with Prevotella_9, and showed a notably negative correlation with UCG-005, Holdemania, Allobaculum, Frisingicoccus, Prevotellaceae_UCG-001, Negativibacillus, Faecalicatena, Peptococcaceae_unclassified, and UCG-007.

DSD attenuated the OXA-induced increase in intestinal permeability

As shown in Fig. 4A, DSD recovered the disruption of tissue morphology including detachment of epithelial cells in the mucosal layer, exposure of the lamina propria, and edema of submucosa in OXA-treated rats. Interestingly, no inflammation was observed in both OXA and DSD-treated rats. IHC revealed DSD treatment increased the lower expression of MUC 2 (201%), Claudin-1 (395%), Occludin (117%), and ZO-1 (495%) proteins in OXA-treated rats (P < 0.01, Fig. 4B). Moreover, results of TEM illustrated DSD treatment restored the damage of junction complexes and bridge, widened intercellular gaps, and swollen, disarranged, and blurred mitochondrial ridges in colon samples from OXA-treated rats (Fig. 4C).

Fig. 4
figure 4

DSD attenuated OXA-induced intestinal permeability. A Representative images of colon sections stained with H&E (20 ×). Epithelial cells (blue arrows) and the mucosal layer (black arrow) are indicated. B Representative IHC images showing the expression of tight junction-related proteins in colon tissues (20 ×). Histograms show IOD/ARE (Mean density). C Transmission electron microscopy (2K × , 10K ×) analysis of epithelial junction complex and bridge and mitochondria in colon tissue. *P < 0.05, **P < 0.01, vs. OXA group; n = 3 in every group

Full size image

OPIN was prevented by antibiotic intervention

Gut microbiota depletion by antibiotic cocktail (ABX) intervention was used to evaluate the potential role of the gut microbiota in OIPN (Additional file 1: Fig. S6-1 and S6-2). We found that after ABX intervention OXA treatment did not significantly decrease body weight, but reduced mechanical pain thresholds, DRG injury and DRG inflammation as well as dysfunction of intestinal tight junction-related proteins, and ultrastructural changes in the colon. The importance of the gut microbiota in OIPN is thus highlighted by the reduced neurotoxicity and intestinal permeability exhibited by our pseudo-sterile rat model.

FMT transferred the protective effects of DSD on OIPN

To confirm that the protective effects of DSD on OIPN were mediated by gut microbiota, fecal samples from OXA-treated, DSD-treated, and DSDOXA-treated donor rats were transferred daily, over 28 days, to OXA-treated recipient rats (Fig. 5A). At the end of the intervention (day 28), there were no significant differences in body weight between DSD and DSDOXA receivers (DSD_OXA, DSDOXA_OXA groups) and OXA receivers (OXA_OXA group) (Fig. 5B). Interestingly, mechanical pain thresholds after FMT from either DSD- or DSDOXA- treated rats were significantly increased by 166% and 195% (P < 0.01) (Fig. 5C). In addition, Nissl’s staining on DRG showed that shrunken nucleoli were significantly increased in the DSD_OXA (284%) and DSDOXA_OXA (282%) groups compared with the OXA_OXA group (P < 0.01) (Fig. 5D). ELISA further showed that FMT from either DSD- and DSDOXA-treated donors remarkably downregulated the levels of LPS (13%, 14%) and IL6 (9%, 15%) in serum, levels of LPS (18%, 20%) and IL6 (25%, 12%) in DRG and levels of TNF-α (12%, 19%) in serum (P < 0.01) (Fig. 5E). Of note, there were no significant differences in paw withdrawal threshold, extent of DRG injury, and changes in LPS, IL6, and TNF-α between the DSD_OXA and the DSDOXA_OXA groups. These data strongly suggested that the beneficial effect of DSD on OXA-mediated DRG inflammation and OIPN is largely mediated by changes in gut microbiota composition.

Fig. 5
figure 5

The protective effects of DSD in OIPN are transferred by FMT. A FMT protocol. B Body weight measurements. C Measurement of withdrawal threshold for mechanical allodynia (von Frey test). D Representative images of Nissl-stained DRG sections (63 ×). Lightly stained cytoplasm and shrunken nucleoli (red arrow) were analyzed. Histograms show nucleolar area. E ELISA-based detection of LPS, IL-6, and TNF-α in serum and DRG extracts. F Alpha-diversity of gut microbiota composition. G PCoA analysis of gut microbiota composition. H Genus-level analysis of bacterial composition under two comparison strategies. I Representative IHC images of colon sections showing the expression of tight junction-related proteins (20 ×). Histograms show IOD/ARE (mean density). *P < 0.05, **P < 0.01, vs. OXA_OXA group; n = 6 in OXA_OXA group, n = 7 in DSD_OXA and DSDOXA_OXA groups

Full size image

Gut microbiota analysis suggested that Pielou_e and Shannon indexes were increased in the DSD_OXA (15%, 8%) and DSDOXA_OXA (16%, 8%) groups compared with the OXA_OXA group (P < 0.05) (Fig. 5F). A distinct clustering of ASVs abundance was observed for the OXA_OXA, DSD_OXA, and DSDOXA_OXA groups (nanosim: R = 0.2671, P = 0.001, Fig. 5G). In Fig. 5H, there were 24 differentially abundant bacteria between the DSD_OXA and the OXA_OXA groups and 35 differentially abundant bacteria between the DSDOXA_OXA and the OXA_OXA groups. Further analysis showed that a common decrease in the abundance of 10 bacterial groups, namely Anaerostipes (84%, 93%), Saccharimonadales_unclassified (89%, 100%), Escherichia-Shigella (93%, 96%), KD4-96_(Cloroflexi)_unclassified (100%, 100%), Ligilactobacillus (75%, 72%), Bacillus (100%, 100%), Enterococcus (99%, 100%), Fonticella (95%, 100%), Gemmatimonadaceae_unclassified (100%, 100%), and Methylococcaceae_unclassified (100%, 100%), occurred in the DSD_OXA and the DSDOXA_OXA groups. These data indicated that FMT from DSD-treated normal or model rats protects against OIPN by restoring the diversity of gut microbiota.

IHC analysis revealed that colonic MUC 2 (300%, 309%), Claudin-1 (850%, 825%), Occludin (558%, 583%), and ZO-1 (409%, 425%) expression levels were significantly increased in the DSD_OXA and DSDOXA_OXA groups compared to the OXA_OXA group (P < 0.01) (Fig. 5I). These findings further indicated that DSD alleviates OIPN by restoring intestinal barrier dysfunction and gut microbiota homeostasis.

Discussion

We found OXA could regulate the intestinal integrity and permeability, disorder gut microbiota and inflammatory metabolite, and ultimately result in OIPN, which is corresponding to previous research [31,32,33,34,35]. OIPN is caused with the existence of gut microbiota [31], which could also be demonstrated in this study by feeding ABX-water before and during OXA treatment. Moreover, DSD treatment could significantly alleviate OIPN by improving gut microbiota homeostasis and metabolism disorder, increasing colon tissue integrity as well as reducing intestinal permeability.

Our results found that the α-diversity of gut microbiota was increased by DSD treatment. Specifically, the abundance of Bacteroidetes was increased and the ratio of Firmicutes to Bacteroidetes was reduced, which may explain the decrease of LPS induced by DSD treatment [36]. Research suggested LPS mediates an inflammatory response in DRG by activating macrophages and TLR4 signaling [11, 15]. An improved epithelial barrier function reduced the leakage of LPS into the enterohepatic circulation, and then attenuated the inflammatory response in DRG neurons. Besides, the abundance of Faecalibaculum, Allobaculum, Dubosiella, and Rhodospirillales_unclassified, SCFA-producing bacteria, was also significantly upregulated by DSD. Thereby, the levels of SCFAs (especially acetic acid, butyric acid, valeric acid, and decanoic acid) were raised by DSD treatment in OIPN model. SCFAs have been reported to maintain microecological stability, enhance the mechanical barrier function of the intestinal mucosa, and inhibite intestinal permeability [37, 38].Taken together, DSD plays a protective role in OIPN through modulating gut microbiota composition, as well as affecting LPS and SCFAs production.

A clinical study suggests that OIPN may be treated by oral glutamine [39].In addition, animal experiments show that OIPN is relieved by N-methyl-D-aspartate receptor (NMDAR) inhibitors [40, 41]. An increase in glutamate concentration in the cerebrospinal fluid of the lumbar spinal cord, downregulation of glutamate transporter-1 (GLT-1) expression, and activation of NMDAR have been described in the OIPN model [42]. Thus, changes in glutamate metabolism pathway are crucially involved in OIPN, in association with peripheral nervous system hyperexcitability and release of pro-inflammatory factors [43]. l-glutamate can be converted into d-glutamate, a constituent of the peptidoglycan cell wall in most gram-negative bacteria, by glutamate racemase from Lactobacillus [44]. After d-glutamine is formed from d-glutamate by synthetase, it is transported into the extracellular fluid, taken up by neurons, and converted back into glutamate by a deaminase [45]. The levels of extracellular glutamate are decreased through this process, which may lead to neuronal excitotoxicity [46]. Our findings showed that DSD treatment enriched glutamate metabolism pathways. After DSD treatment, low abundance of Bacteroides, which encompasses important gram-negative bacteria, and high abundance of Lactobacillus should lead to further reduction in l-glutamate metabolism and increased d-glutamate metabolism. This may be indeed consistent with the decrease of l-glutamine after DSD treatment, which could be associated with decreased release of proinflammatory factors and reduced nociception. However, the specific bacterial genes affecting glutamate synthesis remain incompletely defined, and whether glutamate metabolism may be affected by differential regulation of GLT-1 and NMDAR expression is still unknown.

FMT has gradually arisen as effective strategy to treat diseases mediated by gut microbiota imbalances [13, 32]. In our study, after FMT from donors treated with DSD with or without concomitant OXA treatment, DRG inflammation and intestinal permeability of rats were significantly reduced, while gut microbiota diversity was significantly improved. These findings indicated that DSD confers protective effects on OIPN by regulating gut microbiota, mainly via enriching Faecalibaculum, Allobaculum, Dubosiella, and Rhodospirillales_unclassified, then reducing intestinal permeability and LPS production, increasing SCFA levels and neuroprotective agent, decreasing neurotransmitters and neurotoxin, as well as reducing neuroinflammation and hyperalgesia. A schematic diagram of the hypothetical mechanisms of DSD-induced changes in gut microbiota and ameliorated OIPN symptoms is presented in Fig. 6. DSD also plays an anti-inflammatory role in RA, mainly by affecting intestinal microbiome and its metabolites [1]. Moreover, similar to our results, glutamate metabolism, acetic acid, butyric acid, and valeric acid may also play a key role in the anti-inflammatory mechanism of DSD in RA. However, further research is needed to determine whether these metabolites or LPS through which metabolic pathways play a role in the formation of OIPN.

Fig. 6
figure 6

Schematic illustration of the possible mechanisms that DSD-induced changes in gut microbiota ameliorate OIPN symptoms. DSD treatment beneficially regulated OXA-induced gut dysbiosis by enriching beneficial bacteria such as Faecalibaculum, Allobaculum, Dubosiella, and Rhodospirillales_unclassified. This lead to reduced intestinal permeability, decreased LPS leakage, increased SCFA levels, decreased neurotransmitters and neurotoxins, increased neuroprotective agents, alleviating DRG inflammation and hyperalgesia

Full size image

Conclusion

In summary, this study showed that DSD effectively improves DRG inflammation, gut microbiota homeostasis, intestinal permeability and systemic metabolism in OIPN model. Correlation analysis revealed that the composition and abundance of gut microbiota are closely related to inflammation related metabolism. FMT demonstrated that DSD exerts therapeutic effects against OIPN by regulating gut microbiota diversity. All the results suggested that DSD prevents OIPN by alleviating gut microbiota dysbiosis and thus potentially regulating the neuroinflammation related metabolic disorder. The outcomes of study provide a scientific basis for the clinical application of DSD for the treatment of OIPN, and confirme the gut microbiota as a relevant therapeutic target of OIPN.

Availability of data and materials

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

Abbreviations

OXA:

Oxaliplatin

OIPN:

Oxaliplatin-induced peripheral neuropathy

DSD:

Danggui Sini decoction

DRG:

Dorsal root ganglia

LPS:

Lipopolysaccharide

SCFAs:

Short-chain fatty acids

TLR4:

Toll-like receptor 4

GABA:

Gamma aminobutyric acid

MUC 2:

Mucin 2

ZO-1:

Zonula occludens-1

NMDAR:

n-methyl-d-aspartate receptor

GLT-1:

Glutamate transporter-1

References

  1. He Y, Cheng B, Guo BJ, Huang Z, Qin JH, Wang QY, et al. Metabonomics and 16S rRNA gene sequencing to study the therapeutic mechanism of Danggui Sini decoction on collagen-induced rheumatoid arthritis rats with Cold Bi syndrome. J Pharm Biomed Anal. 2023;222:115109. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpba.2022.115109.

    Article  CAS  PubMed  Google Scholar 

  2. Liu M, Qiang QH, Ling Q, Yu CX, Li X, Liu S, et al. Effects of Danggui Sini decoction on neuropathic pain: experimental studies and clinical pharmacological significance of inhibiting glial activation and proinflammatory cytokines in the spinal cord. Int J Clin Pharmacol Ther. 2017;55(5):453–64. https://0-doi-org.brum.beds.ac.uk/10.5414/cp202613.

    Article  CAS  PubMed  Google Scholar 

  3. Cheng B, Zheng H, Wu F, Wu J, Liu X, Tang C, et al. Metabolomics analysis of Danggui Sini decoction on treatment of collagen-induced arthritis in rats. J Chromatogr B. 2017;1061–1062:282–91. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jchromb.2017.07.043.

    Article  CAS  Google Scholar 

  4. Yoshino T, Kotaka M, Shinozaki K, Touyama T, Manaka D, Matsui T, et al. JOIN trial: treatment outcome and recovery status of peripheral sensory neuropathy during a 3-year follow-up in patients receiving modified FOLFOX6 as adjuvant treatment for stage II/III colon cancer. Cancer Chemother Pharmacol. 2019;84(6):1269–77. https://0-doi-org.brum.beds.ac.uk/10.1007/s00280-019-03957-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Argyriou AA. Updates on oxaliplatin-induced peripheral neurotoxicity (OXAIPN). Toxics. 2015;3(2):187–97. https://0-doi-org.brum.beds.ac.uk/10.3390/toxics3020187.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Palugulla S, Dkhar SA, Kayal S, Narayan SK. Oxaliplatin-induced peripheral neuropathy in South Indian cancer patients: a prospective study in digestive tract cancer patients. Indian J Med Paediatr Oncol. 2017;38(4):502–7. https://0-doi-org.brum.beds.ac.uk/10.4103/ijmpo.ijmpo_143_17.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Pachman DR, Qin R, Seisler DK, Smith EM, Beutler AS, Ta LE, et al. Clinical course of oxaliplatin-induced neuropathy: results from the randomized phase III trial N08CB (alliance). J Clin Oncol. 2015;33(30):3416–22. https://0-doi-org.brum.beds.ac.uk/10.1200/jco.2014.58.8533.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Beijers AJ, Mols F, Vreugdenhil G. A systematic review on chronic oxaliplatin-induced peripheral neuropathy and the relation with oxaliplatin administration. Support Care Cancer. 2014;22(7):1999–2007. https://0-doi-org.brum.beds.ac.uk/10.1007/s00520-014-2242-z.

    Article  CAS  PubMed  Google Scholar 

  9. Derman BA, Davis AM. Recommendations for prevention and management of chemotherapy-induced peripheral neuropathy. JAMA. 2021;326(11):1058–9. https://0-doi-org.brum.beds.ac.uk/10.1001/jama.2021.7458.

    Article  PubMed  Google Scholar 

  10. Yang Y, Zhao B, Gao X, Sun J, Ye J, Li J, et al. Targeting strategies for oxaliplatin-induced peripheral neuropathy: clinical syndrome, molecular basis, and drug development. J Exp Clin Cancer Res. 2021;40(1):331. https://0-doi-org.brum.beds.ac.uk/10.1186/s13046-021-02141-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Shen S, Lim G, You Z, Ding W, Huang P, Ran C, et al. Gut microbiota is critical for the induction of chemotherapy-induced pain. Nat Neurosci. 2017;20(9):1213–6. https://0-doi-org.brum.beds.ac.uk/10.1038/nn.4606.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Xu Y, Zhao Y, Guo X, Li Y, Zhang Y. Plasma metabolic profiling analysis of neurotoxicity induced by oxaliplatin using metabonomics and multivariate data analysis. Toxicol Res. 2018;7(3):529–37. https://0-doi-org.brum.beds.ac.uk/10.1039/c7tx00345e.

    Article  CAS  Google Scholar 

  13. Chang CW, Lee HC, Li LH, Chiang Chiau JS, Wang TE, Chuang WH, et al. Fecal microbiota transplantation prevents intestinal injury, upregulation of toll-like receptors, and 5-fluorouracil/oxaliplatin-induced toxicity in colorectal cancer. Int J Mol Sci. 2020. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21020386.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Yang NJ, Chiu IM. Bacterial signaling to the nervous system through toxins and metabolites. J Mol Biol. 2017;429(5):587–605. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jmb.2016.12.023.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Batista CRA, Gomes GF, Candelario-Jalil E, Fiebich BL, de Oliveira ACP. Lipopolysaccharide-induced neuroinflammation as a bridge to understand neurodegeneration. Int J Mol Sci. 2019. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms20092293.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Xiao C, Fedirko V, Beitler J, Bai J, Peng G, Zhou C, et al. The role of the gut microbiome in cancer-related fatigue: pilot study on epigenetic mechanisms. Support Care Cancer. 2021;29(6):3173–82. https://0-doi-org.brum.beds.ac.uk/10.1007/s00520-020-05820-3.

    Article  PubMed  Google Scholar 

  17. Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat Rev Neurosci. 2012;13(10):701–12. https://0-doi-org.brum.beds.ac.uk/10.1038/nrn3346.

    Article  CAS  PubMed  Google Scholar 

  18. Stojanovska V, McQuade RM, Fraser S, Prakash M, Gondalia S, Stavely R, et al. Oxaliplatin-induced changes in microbiota, TLR4+ cells and enhanced HMGB1 expression in the murine colon. PLoS ONE. 2018;13(6): e0198359. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0198359.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Xu D, Zhao H, Gao H, Zhao H, Liu D, Li J. Participation of pro-inflammatory cytokines in neuropathic pain evoked by chemotherapeutic oxaliplatin via central GABAergic pathway. Mol Pain. 2018;14:1744806918783535. https://0-doi-org.brum.beds.ac.uk/10.1177/1744806918783535.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Zhang H, Li Y, de Carvalho-Barbosa M, Kavelaars A, Heijnen CJ, Albrecht PJ, et al. Dorsal root ganglion infiltration by macrophages contributes to paclitaxel chemotherapy-induced peripheral neuropathy. J Pain. 2016;17(7):775–86. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpain.2016.02.011.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Rong D, Jie-Ge H, Yue W. Clinical observation on Danggui Sini decoction in preventing and treating oxaliplatin neurotoxicity. J Nanjing Univ Tradit Chin Med. 2014;5(30):432–3.

    Google Scholar 

  22. Ding R, Wang Y, Zhu JP, Lu WG, Wei GL, Gu ZC, et al. Danggui Sini decoction protects against oxaliplatin-induced peripheral neuropathy in rats. J Integr Neurosci. 2020;19(4):663–71. https://0-doi-org.brum.beds.ac.uk/10.31083/j.jin.2020.04.1154.

    Article  PubMed  Google Scholar 

  23. Rong D, Yue W, Wu-Guang LU, Guo-Li W, Zhan-Cheng GU, Jie-Ge H. The effect of Danggui Sini decoction on TRPs channel in the DRG of the OXIN Rats. Indian J Pharm Sci. 2019;81:922.

    Google Scholar 

  24. Zhou SS, Xu J, Kong M, Yip KM, Xu JD, Shen H, et al. Synchronous characterization of carbohydrates and ginsenosides yields deeper insights into the processing chemistry of ginseng. J Pharm Biomed Anal. 2017;145:59–70. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpba.2017.06.042.

    Article  CAS  PubMed  Google Scholar 

  25. Holmes J, Stanko J, Varchenko M, Ding H, Madden VJ, Bagnell CR, et al. Comparative neurotoxicity of oxaliplatin, cisplatin, and ormaplatin in a Wistar rat model. Toxicol Sci. 1998;46(2):342–51. https://0-doi-org.brum.beds.ac.uk/10.1006/toxs.1998.2558.

    Article  CAS  PubMed  Google Scholar 

  26. Josefsdottir KS, Baldridge MT, Kadmon CS, King KY. Antibiotics impair murine hematopoiesis by depleting the intestinal microbiota. Blood. 2017;129(6):729–39. https://0-doi-org.brum.beds.ac.uk/10.1182/blood-2016-03-708594.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Zeng SL, Li SZ, Xiao PT, Cai YY, Chu C, Chen BZ, et al. Citrus polymethoxyflavones attenuate metabolic syndrome by regulating gut microbiome and amino acid metabolism. Sci Adv. 2020;6(1):eaax6208. https://0-doi-org.brum.beds.ac.uk/10.1126/sciadv.aax6208.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Borody TJ, Paramsothy S, Agrawal G. Fecal microbiota transplantation: indications, methods, evidence, and future directions. Curr Gastroenterol Rep. 2013;15(8):337. https://0-doi-org.brum.beds.ac.uk/10.1007/s11894-013-0337-1.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Cheng X, Huo J, Wang D, Cai X, Sun X, Lu W, et al. Herbal medicine AC591 prevents oxaliplatin-induced peripheral neuropathy in animal model and cancer patients. Front Pharmacol. 2017;8:344. https://0-doi-org.brum.beds.ac.uk/10.3389/fphar.2017.00344.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Deuis JR, Dvorakova LS, Vetter I. Methods used to evaluate pain behaviors in rodents. Front Mol Neurosci. 2017;10:284. https://0-doi-org.brum.beds.ac.uk/10.3389/fnmol.2017.00284.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Ma P, Mo R, Liao H, Qiu C, Wu G, Yang C, et al. Gut microbiota depletion by antibiotics ameliorates somatic neuropathic pain induced by nerve injury, chemotherapy, and diabetes in mice. J Neuroinflammation. 2022;19(1):169. https://0-doi-org.brum.beds.ac.uk/10.1186/s12974-022-02523-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Yuan W, Xiao X, Yu X, Xie F, Feng P, Malik K, et al. Probiotic therapy (BIO-THREE) mitigates intestinal microbial imbalance and intestinal damage caused by oxaliplatin. Probiotics Antimicro Prot. 2022;14(1):60–71. https://0-doi-org.brum.beds.ac.uk/10.1007/s12602-021-09795-3.

    Article  CAS  Google Scholar 

  33. Luo H, Liu L, Zhao JJ, Mi XF, Wang QJ, Yu M. Effects of oxaliplatin on inflammation and intestinal floras in rats with colorectal cancer. Eur Rev Med Pharmacol Sci. 2020;24(20):10542–9. https://0-doi-org.brum.beds.ac.uk/10.26355/eurrev_202010_23407.

    Article  CAS  PubMed  Google Scholar 

  34. Xia T, Zhang J, Han L, Jin Z, Wang J, Li X, et al. Protective effect of magnolol on oxaliplatin-induced intestinal injury in mice. Phytother Res. 2019;33(4):1161–72. https://0-doi-org.brum.beds.ac.uk/10.1002/ptr.6311.

    Article  CAS  PubMed  Google Scholar 

  35. van Vliet MJ, Harmsen HJ, de Bont ES, Tissing WJ. The role of intestinal microbiota in the development and severity of chemotherapy-induced mucositis. PLoS Pathog. 2010;6(5): e1000879. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.ppat.1000879.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Tinkov AA, Martins AC, Avila DS, Gritsenko VA, Skalny AV, Santamaria A, et al. Gut microbiota as a potential player in Mn-induced neurotoxicity. Biomolecules. 2021. https://0-doi-org.brum.beds.ac.uk/10.3390/biom11091292.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Chen T, Kim CY, Kaur A, Lamothe L, Shaikh M, Keshavarzian A, et al. Dietary fibre-based SCFA mixtures promote both protection and repair of intestinal epithelial barrier function in a Caco-2 cell model. Food Funct. 2017;8(3):1166–73. https://0-doi-org.brum.beds.ac.uk/10.1039/c6fo01532h.

    Article  CAS  PubMed  Google Scholar 

  38. Peng L, Li ZR, Green RS, Holzman IR, Lin J. Butyrate enhances the intestinal barrier by facilitating tight junction assembly via activation of AMP-activated protein kinase in Caco-2 cell monolayers. J Nutr. 2009;139(9):1619–25. https://0-doi-org.brum.beds.ac.uk/10.3945/jn.109.104638.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wang WS, Lin JK, Lin TC, Chen WS, Jiang JK, Wang HS, et al. Oral glutamine is effective for preventing oxaliplatin-induced neuropathy in colorectal cancer patients. Oncologist. 2007;12(3):312–9. https://0-doi-org.brum.beds.ac.uk/10.1634/theoncologist.12-3-312.

    Article  CAS  PubMed  Google Scholar 

  40. Zhou HH, Zhang L, Zhang HX, Xu BR, Zhang JP, Zhou YJ, et al. Tat-HA-NR2B9c attenuate oxaliplatin-induced neuropathic pain. Exp Neurol. 2019;311:80–7. https://0-doi-org.brum.beds.ac.uk/10.1016/j.expneurol.2018.09.014.

    Article  CAS  PubMed  Google Scholar 

  41. Liu X, Zhang G, Dong L, Wang X, Sun H, Shen J, et al. Repeated administration of mirtazapine attenuates oxaliplatin-induced mechanical allodynia and spinal NR2B up-regulation in rats. Neurochem Res. 2013;38(9):1973–9. https://0-doi-org.brum.beds.ac.uk/10.1007/s11064-013-1103-3.

    Article  CAS  PubMed  Google Scholar 

  42. Yamamoto S, Ushio S, Egashira N, Kawashiri T, Mitsuyasu S, Higuchi H, et al. Excessive spinal glutamate transmission is involved in oxaliplatin-induced mechanical allodynia: a possibility for riluzole as a prophylactic drug. Sci Rep. 2017;7(1):9661. https://0-doi-org.brum.beds.ac.uk/10.1038/s41598-017-08891-1.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Zhong S, Zhou Z, Liang Y, Cheng X, Li Y, Teng W, et al. Targeting strategies for chemotherapy-induced peripheral neuropathy: does gut microbiota play a role? Crit Rev Microbiol. 2019;45(4):369–93. https://0-doi-org.brum.beds.ac.uk/10.1080/1040841x.2019.1608905.

    Article  CAS  PubMed  Google Scholar 

  44. Böhmer N, Dautel A, Eisele T, Fischer L. Recombinant expression, purification and characterisation of the native glutamate racemase from Lactobacillus plantarum NC8. Protein Expr Purif. 2013;88(1):54–60. https://0-doi-org.brum.beds.ac.uk/10.1016/j.pep.2012.11.012.

    Article  CAS  PubMed  Google Scholar 

  45. Danbolt NC, Furness DN, Zhou Y. Neuronal vs glial glutamate uptake: Resolving the conundrum. Neurochem Int. 2016;98:29–45. https://0-doi-org.brum.beds.ac.uk/10.1016/j.neuint.2016.05.009.

    Article  CAS  PubMed  Google Scholar 

  46. Pál B. Involvement of extrasynaptic glutamate in physiological and pathophysiological changes of neuronal excitability. Cell Mol Life Sci. 2018;75(16):2917–49. https://0-doi-org.brum.beds.ac.uk/10.1007/s00018-018-2837-5.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

None.

Funding

This work was financially supported by the Natural Science Foundation of China (Grant Number 82004339), the Medical Scientific Research Project of Jiangsu Provincial Health Commission (Grant Number Z2022005), Jiangsu Clinical Innovation Center of Digestive Cancer of Traditional Chinese Medicine (No.2021.6), the Project of National Clinical Research Base of Traditional Chinese Medicine in Jiangsu Province (Grant Number JD2019SZXYB16), the Jiangsu science and technology department social development-clinical frontier technology (Grant Number BE2019767, BRA2019100), and Natural Science Foundation of Jiangsu Province (BK20210984).

Author information

Author notes

  1. Chen Chen, Jian-Lin Xu and Zhan-Cheng Gu have contributed equally to this work.

Authors and Affiliations

  1. Department of Oncology, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, 224001, Jiangsu, China

    Chen Chen & Jian-Lin Xu

  2. Department of Oncology, Yancheng TCM Hospital, Yancheng, 224001, Jiangsu, China

    Chen Chen & Jian-Lin Xu

  3. The Third Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China

    Chen Chen, Jia-Lin Gu, Yan-Qi Feng & Zi-Wei Song

  4. Department of Oncology, Kunshan Hospital of Traditional Chinese Medicine, Suzhou, 215399, China

    Zhan-Cheng Gu

  5. Department of Pharmaceutical Analysis, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, No. 100 Shizi Street Hongshan Road, Nanjing, 210028, Jiangsu, China

    Shan-Shan Zhou & Song-Lin Li

  6. Department of Metabolomics, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, Jiangsu, China

    Shan-Shan Zhou & Song-Lin Li

  7. Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, No. 100 Shizi Street Hongshan Road, Nanjing, 210028, Jiangsu, China

    Guo-Li Wei, Shan Deng, Rong Ding & Jie-Ge Huo

  8. Department of Oncology, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, Jiangsu, China

    Guo-Li Wei, Shan Deng, Rong Ding & Jie-Ge Huo

  9. Department of Oncology, Nanjing Lishui District Hospital of Traditional Chinese Medicine, Nanjing, 211299, Jiangsu, China

    Guo-Li Wei

  10. Department of Paediatrics, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, 224001, Jiangsu, China

    Hai-Long Ma

  11. Clinical Research Department of Chinese and Western Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, Jiangsu, China

    Zhan-Peng Yan

Authors
  1. Chen Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jian-Lin Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhan-Cheng Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shan-Shan Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Guo-Li Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jia-Lin Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Hai-Long Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Yan-Qi Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Zi-Wei Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Zhan-Peng Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Shan Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Rong Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Song-Lin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Jie-Ge Huo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

J-GH, S-LL, CC, and J-LX conceived the study. CC, S-SZ, Z-CG, G-LW, and J-LG conducted the experiments. Y-QF, Z-WS, and Z-PY performed sample collection and data analysis. CC and H-LM wrote the manuscript and prepared figures. SD and RD helped perform the analysis with constructive guidance. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Song-Lin Li or Jie-Ge Huo.

Ethics declarations

Ethics approval and consent to participate

The animal study was reviewed and approved by the Animal Ethics Committee of Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine. (AEWC-202111120-177).

Consent for publication

Not applicable.

Competing interests

We declare no conflicts of financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

Fig. S1. UPLC-QTOF-MS/MS Analysis of BPI plots of DSD. Table S1. UPLC-QTOF-MS/MS constituents identification information table of DSD. Table S2. Sequences of primers for qPCR. Material 3. Supplementary materials of the untargeted Plasma metabolomic analysis. Fig. S4. Chao1 and Shannon index. Table S5-1. Different metabolites identifified between the OXA and CON groups. Table S5-2. Different metabolites identifified between the DSDOXA and OXA groups. Fig. S6-1. ABX alleviated OIPN and the inflammatory response. Fig. S6-2. ABX attenuated OXA-induced intestinal permeability.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, C., Xu, JL., Gu, ZC. et al. Danggui Sini decoction alleviates oxaliplatin-induced peripheral neuropathy by regulating gut microbiota and potentially relieving neuroinflammation related metabolic disorder. Chin Med 19, 58 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s13020-024-00929-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13020-024-00929-7

Keywords

Chinese Medicine

ISSN: 1749-8546

Contact us