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Journal of Pain Research logoLink to Journal of Pain Research
. 2020 Dec 29;13:3479–3492. doi: 10.2147/JPR.S283782

Curcumin Improves Chronic Pain Induced Depression Through Regulating Serum Metabolomics in a Rat Model of Trigeminal Neuralgia

Li Zhang 1,*,, Zhijie Ma 2, Zhe Wu 3, Mu Jin 1, Lixin An 1, Fushan Xue 1,*
PMCID: PMC7778445  PMID: 33402844

Abstract

Background

Depression is a prevalent and complex psychiatric disorder with high incidence in patients with chronic pain. The underlying pathogenesis of chronic pain-induced depression is complicated and remains largely unclear. An integrated analysis of endogenous substance-related metabolisms would help to understand the molecular mechanism of chronic pain-induced depression. Curcumin was reported to exert various health benefits, such as anti-depression, antioxidant, antineoplastic, analgesia, and anti-inflammation.

Objective

The aim of this study was to analyze the biomarkers related to depression in serum and to evaluate the anti-depression properties of curcumin in a chronic pain-induced depression model of rats.

Design

This is a randomized, controlled experiment.

Setting

This study was conducted at the Experimental Animal Center, Beijing Friendship Hospital, Capital Medical University.

Methods

Trigeminal neuralgia (TN) was produced by injecting 4 µL, 10% cobra venom saline solution into the infraorbital nerve (ION). Curcumin was administered by gavage twice a day from post-operation day (POD) 15 to POD 42. Mechanical allodynia was assessed using von Frey filaments. Sucrose preference and forced swimming tests were performed to evaluate depression-like behaviors. The metabolomics analysis was preceded by LCMS-IT-TOF and multivariate statistical methods for sample detection and biomarker screening.

Results

Cobra venom intra-ION injection led to chronic mechanical allodynia, reduced sucrose preference, and prolonged immobility during forced swimming. Curcumin treatment alleviated chronic mechanical allodynia, regained sucrose preference, and reduced immobility time. Differential analysis identified 30 potential metabolites changed under TN condition. The integrated analyses further revealed two major metabolic changes by comparing the serums from sham operated rats, TN rats, and TN rats treated with curcumin: 1) ether lipid metabolism; and 2) glycerophospholipid metabolism, and suggested that curcumin may improve chronic pain-induced depression by regulating these two types of lipid metabolisms.

Conclusion

Ether lipid and glycerophospholipid metabolism might be two of the pathways with the most potential related to chronic pain induced-depression; and curcumin could alleviate chronic pain induced-depression by modulating these two pathways. These results provide further insights into the mechanisms of chronic pain-induced depression and may help to identify potential targets for anti-depression properties of curcumin.

Keywords: curcumin, depression, chronic pain, trigeminal neuralgia, metabolomics

Introduction

Chronic pain patients often develop into depression,1,2 which leads to additional emotional and cognitive deficits,3,4 and has become a general medical problem. The involvements of anatomical, neurochemical, and psychological changes in depression induced by chronic pain have been intensively studied.5–7 However, the potential contributions of microcosmic metabolite changes under pathologic pain conditions to development of depression has not had enough attention yet. As a powerful approach to directly reflect the underlying biochemical activity and state of cells or tissues, metabolome reveals the entire metabolic profile by detecting over 1,000 molecules in various biological samples, such as blood, urine, saliva, and cerebrospinal fluid.8 By analyzing specific biomarkers, metabolic profiling can provide a complete insight of disease progression and the outcome of drug treatment by functional readout of the physiological state of a whole biologic system.9

Due to its antioxidant, anti-inflammatory,10 antimutagenic, antimicrobial,11,12 and anticancer properties,13,14 curcuma longa has been traditionally used in Asian countries as a medical herb. Curcumin (1,7-bis(4-hydroxy-3-methoxyphenyl)-1,6-heptadiene-3,5-dione), also called diferuloylmethane, is the main natural polyphenol found in the root of turmeric (Curcuma longa) and in others Curcuma spp. [PMID:12680238], and has been shown to target multiple signaling molecules while also demonstrating activity at the cellular level, which has helped to support curcuma longa multiple health benefits.15 Curcumin has been shown to benefit pain and depression through inhibiting monoamine oxidase, modulating the level of serotonin and monoamine, inhibiting glutamate release in the prefrontal cortex,16–18 and activating MAPK/ERK-dependent BDNF expression in the amygdala region.19 However, a detailed metabolic profiling for the anti-depression effects of curcumin has not been done yet. In our previous studies, our team developed a new trigeminal neuralgia rat model induced by cobra venom injected into the infraorbital nerve (ION); the model displays persistent pain and mimics the trigeminal neuralgia onset in human patients.20

In this study, we performed a metabolomics assay using HPLC coupled with IT-TOF mass spectrometry and characterized the metabolic profiles underlying depression evoked by trigeminal neuralgia, which was induced by injecting cobra venom into the infraorbital nerve (ION), as reported in our previous study.20 Furthermore, we studied if curcumin can be used to treat depression induced by chronic pain, and its regulation to biomarkers and metabolic profiles, which were specifically changed under neuropathic conditions.

Methods

Animals

Male SD rats (200–220 g) were purchased from The Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College and used in this study. All animal procedures were approved by the Ethical Committee of Beijing Friendship Hospital, Capital Medical University (Beijing, China), and were performed in accordance with the guidelines of the International Association for the Study of Pain. Rats were housed under a 12-hour light/dark cycle and at a temperature of 22–24°C. All rats were given food and water ad libitum. Twenty-five rats were randomly divided into three groups: sham group (n=8), TN+vehicle group (n=8), and TN+curcumin group (n=9). Curcumin or vehicle was orally administered by gavage twice a day (morning and evening) from POD 15 to 42.

Drug Preparation

Lyophilized cobra venom (Formosan cobra; Sigma, St. Louis, MO) was dissolved in 0.9% sterile saline to make 10% solution.20 Curcumin (CAS: 458–37-7, Sigma Aldrich, purity ≥99.5%) 0.3% was made in peanut oil and administered to rats in the TN+curcumin group (45 mg/kg, 1.5 mL) based on earlier literature.21–23

Blood Sample Preparation

Orbital blood (1.5 mL) was collected from all rats weekly in the morning for 6 weeks except weeks 3 and 5, and centrifuged at 4,000×g for 15 minutes to obtain serum, which was sterilized without hemolysis and stored at −80°C. To prepare the samples for chromatography and mass spectrometry, 200 µL thawed serum was added into 600 µL methanol and mixed for 30 minutes at 4°C followed by high-speed centrifugation at 12,000 rpm and 10 minutes incubation at 4°C to remove solid debris. Finally, the supernatant was filtered through a microfiltration membrane (0.22 μm) to obtain the injection samples.

Surgical Procedure

Models of TN were produced according to the method described in our previous studies.20,22 Briefly, after the rats were anesthetized by sodium pentobarbital (40 mg/kg, i.p.), a 1-cm radical incision was made above the left superciliary arch to expose the infraorbital nerve (ION). For rats assigned to the TN group, 4 µL cobra venom solution (10% in saline) was injected into the ION. The incision was closed in layers. Rats in the sham group received 4 µL of saline injection instead.

Behavioral Testing

Mechanical Sensitivity Test

Mechanical allodynia was used to verify trigeminal neuralgia induced by cobra venom intra-ION injection. The rats were placed in a plastic chamber (20 cm × 25 cm × 15 cm) and acclimated for 15 minutes. Their mechanical withdrawal thresholds (MWT) were measured via von Frey filaments (Stoelting, Chicago, IL) and calculated through up–down method as described previously.20 Each filament was placed perpendicularly on the facial skin innervated by left ION, which is near the center of the vibrissa pad. A positive response was defined by brutally turning the head away, scratching the left side of the face, or attacking the filaments.

Sucrose Preference Test

Before the test, all rats received water and 1% sucrose solution alternately for 48 hours and fast for 24 hours. On the testing day rats were allowed to acclimate in the test room for 20 minutes and provided by a bottle of water and a bottle of 1% sucrose solution for 30 minutes, followed by another 30 minutes after swapping the two bottles. Sucrose preference was calculated by dividing the volume of consumed sucrose solution by total liquid consumption.

Forced Swim Test

In the forced swim test, immobility time was collected to evaluate depression-like behaviors. After 20 minutes acclimation in the test room rats were placed into a standard clear Porsolt chamber filled with water (25°C and 25-cm depth) for 15 minutes, and then removed from the chamber, dried, and returned to their home cages. Twenty-four hours later, the rats were placed into the same Porsolt chamber for 5 minutes. Immobility, defined as no hind paw movement for over 1 seconds during swimming,24 was recorded and analyzed in the second session by two independent researchers who were blinded to the rats before operation, and weekly after operation for 6 weeks, except the 3rd and 5th week.

Chromatography and Mass Spectrometry Assay of Serum Samples

Chromatography and mass spectrometry assay were performed on a LCMS-IT-TOF system (Shimadzu, Japan). Blood serum was separated on an XBridge® C18 Column (3.5 μm, 2.1×100 mm, Waters). The temperature of the column was set to 40°C. The mobile phase flow rate was 0.30 mL/min and consisted of 0.1% formic acid in water (A) and 0.1% formic acid in acetonitrile (B). Serum sample injected (5 μL) was trapped using 100% mobile phase A for 13 minutes at a flow rate of 5 μL/min before being placed in-line with the analytical column and subjected to the gradient profile which was set as follows: 5% B for 3 minutes, 3–50% B for 3–5 minutes, 50% B for 3 minutes, 50–70% B for 8.0 to 10.0 minutes, 70% B for 10 minutes, 70–95% B for 20.0 to 22.0 minutes, 95% B for 3 minutes, 95–5% B for 25.0–27.0 minutes, and 5% B for 8 minutes. The eluent was directly introduced to the mass spectrometer. To ensure the stability and repeatability of the LCMS systems, a QC was run after every 10 samples were analyzed, and followed by a blank. The Q-Exactive mass spectrometer parameters were as follows: electrospray voltage was 1.57 kV, Orbitrap precursor spectra (AGC 3×106) were collected from 100–1,000 m/z; the gas temperature was 200°C; the gas flow was 0.8 L/min; and charge state screening was with a dynamic exclusion time of 30 seconds to discriminate against previously analyzed ions. The method was validated for selectivity, sensitivity, linearity, accuracy and precision, recovery, matrix effect, dilution integrity, and stability.

Multivariate Data Analysis and Statistical Analysis of Metabolic Profiling

Sample data were extracted using Profiling Solution software for peak detection and alignment. The full scan mode was set in the range of 100–1,000 m/z and data collection as the initial and final retention times. Resultant data matrices was analyzed by software SIMCA-P11.0 (Umetrics, Umea, Sweden) for multivariate data analysis, such as principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA). Prior to PCA, all data obtained from the matrix were mean centered and scaled to a Pareto variance. As an unsupervised pattern recognition approach, PCA was usually used for reducing the matrix dimension and demonstrating the intrinsic simples clustering degree. On this basis, PLS-DA was used to identify the variables responsible for separation, and correlating with the variable influence on projection (VIP) parameter select the most significant variables contributing to discriminate metabolomics profiles between sham and TN + vehicle groups and between TN + vehicle and TN + curcumin groups. In a PLS-DA model, the VIP is a weighted sum of squares of the PLS weight, indicating the importance of the variable to the entire model. The variables with VIP values ≥1.5 were considered as significant differences and were selected for further data analysis. Then, the compounds corresponding to the significantly changed variables between groups (P-value<0.05) were screened as biomarkers.25 All potential biomarkers were annotated by the Human Metabolome Database (HMDB) and METLIN database. Finally, the compounds and their KEGG data numbers were imported to Metaboanalyst 3.0 for further pathway and enrichment analysis.

Behavioral data were analyzed using SPSS 19.0 Software. Statistical significance was determined (P<0.05) using repeated measures two-way ANOVA.

Results

Curcumin Alleviated Mechanical Allodynia After Trigeminal Neuralgia

Intra-ION injection of cobra venom but not saline produced a fast-onset (within 1 week) and long-lasting (over 6 weeks) mechanical allodynia, which is one of the symptoms of trigeminal neuralgia in rats. From POD 15–42, curcumin (45 mg/kg in 1.5 mL) was administrated twice a day by gavage (10:00 am and 18:00 pm) (Figure 1A). TN rats treated by curcumin exhibited a significant higher mechanical withdrawal threshold than TN rats that only received vehicle treatment (F(2,22)=17.25, P<0.0001) (Figure 1B), suggesting long-term curcumin treatment significantly alleviated mechanical allodynia observed in intra-ION injection of cobra venom induced trigeminal neuralgia.

Figure 1.

Figure 1

Curcumin alleviated mechanical allodynia induced by cobra venom intra-ION injection. (A) Schematic for the timeline of surgery (cobra venom or sterile saline injection) and curcumin administrations. (B) Mechanical allodynia induced by cobra venom intra-ION injection was attenuated by curcumin treatment. Two-way ANOVA, *P<0.05 vs the sham group, #P<0.05 vs the cobra venom group, n=8 or 9.

Curcumin Alleviated Trigeminal Neuralgia-Induced Depression

Forced swimming test and sucrose preference test were used to evaluate rat depression-like behaviors in this study. From POD 28, TN rats exhibited significantly less sucrose consumption and longer immobility time during swimming than rats in the sham group, indicating that TN induced depression-like behaviors, which on the other hand were alleviated after curcumin treatment demonstrated by regained sucrose consumption (F(2,22)=19.85, P<0.0001) and decreased immobility time during swimming (F(2,22)=66.58, P<0.0001) (Figure 2A-B).

Figure 2.

Figure 2

The effects of curcumin treatment on depression behaviors observed in rats with chronic pain. (A) Sucrose preferences were progressively reduced in rats with TN, and recovered by curcumin treatment. (B) Immobility time during forced swimming were progressively increased in rats with TN and normalized after curcumin treatment. Two-way ANOVA, *P<0.05 vs the sham group, #P<0.05 vs the cobra venom group, n=8 or 9.

Changes in Serum Metabolites from Rats with Trigeminal Neuralgia with or Without Curcumin Treatments

The PCA, as an unsupervised analysis method, was used to compare serum metabolites between sham, TN plus curcumin treatment, and TN plus vehicle groups. As shown in Figure 3A, no significant differences were detected between three groups via PCA according to their score-plot clusters. Meanwhile, no significant differences were detected between different time points (week 1, 2, 4, and 6) after cobra venom intra-ION injection (Figure 3B). To detect any potential differences between groups, which may be difficult to be found by PCA, we further used partial least-squares discriminant analysis (PLS-DA) to screen any potentially changed biomarkers. As shown in Figure 4A, the score-plot clusters of the sham, TN, and TN plus curcumin groups were discriminated in positive models, in which the three parameters of PLS-DA R2X, R2Y, and Q2 (cum) values used for model fitting the matrix data were 0.414, 0.997, and 0.914, indicating that the fitting model was high quality and could provide accurate predictions. The clusters in the TN group for different time points after cobra venom intra-ION injection were also discriminated in positive models (Supplementary Figure 1A), in which the R2X, R2Y, and Q2 (cum) values were 0.478, 0.986, and 0.856, respectively. Finally, the fitting models were validated by the permutation test with 100 iterations, which compared the fitting goodness of the origin model with that of the updated model. As shown in Figure 4B and Supplementary Figure 1B, the validation plots indicated that the original models were valid. The loading plots displayed variables that positively correlated with the score plots (Figure 4C and Supplementary Figure 1C) and demonstrated in more detail several crucial variables, which were far from the center of the coordinates, and contributed the most to PLS-DA clustering. Only VIP value as shown in Figure 4D and Supplementary Figure 1D was above 1.5, being used to card and structurally identify potential biomarkers, and was considered as a screening standard to select metabolites and |P(corr)| above 0.58.

Figure 3.

Figure 3

Score-Plot of principal component analysis for different groups of rats. (A) Score-Plot of PCA for the serum samples collected from different groups 6 weeks after surgery. Black, sham group; Red, TN+vehicle group; and Blue, TN+curcumin group. (B) Score-Plot PCA for the serum samples collected at different time points after cobra venom intra-ION injection. Green, week 1; Orange, week 2; Grey, week 4; and Violet, week 6.

Figure 4.

Figure 4

Partial least-squares discriminant analysis of metabolomics data in different experimental groups. (A) Score plot. Black, sham group; Red, TN group, and Blue, TN+ curcumin group. (B) 100-permutation test. (C) loading plot. (D) VIP value plot.

Characterizing Potential Metabolites and Metabolic Pathways

Through PCA and combined PLS-DA we detected that serum metabolites were changed in rats with trigeminal neuralgia. Among 1,256 signals detected after trigeminal neuralgia, we selected 29 variables as candidates, which significantly contributed to the clustering and discrimination between groups, according to VIP≥1.5 and |P(corr)|≥0.58 (Supplementary Table 1), to compare between weeks 1, 2, 4, and 6 after cobra venom intra-ION injection via ANOVA analyses, and found 14 candidates, which were significantly different among groups (P<0.05), and recognized as candidate biomarkers according to HMDB and Metaboanalyst identification. The 14 potential biomarkers were also significantly changed along the progress of trigeminal neuralgia from week 1–6 after cobra venom injection (Table 1 and Figure 5A).

Table 1.

Identified Metabolites from the Serum Collected at Different Time Points After Venom Cobra Intra-ION Injecton

VIP M/Z RT Biomarker [M+X]+ Adduct MW Delta (ppm)
2.01 263.1987 23.696 9-Pentadecenoic acid 263.1981 M+Na 6
1.63 301.1398 29.242 alpha-CEHC 301.141 M+Na 4
1.76 319.1932 29.417 Ubiquinone-2 319.1904 M+H 9
2.02 329.2457 28.233 5,8,11-Eicosatrienoic acid 329.2451 M+Na 2
1.64 377.2642 26.549 G(0:0/18:2(9Z,12Z)/0:0) 377.2662 M+Na 5
1.54 379.2794 29.885 MG(0:0/18:1(11Z)/0:0) 379.2819 M+Na 7
1.61 413.2657 27.193 9ʹ-Carboxy-alpha-chromanol 413.2662 M+Na 1
1.51 520.3376 20.843 LysoPC(18:2(9Z,12Z)) 520.3398 M+H 4
1.51 524.3662 23.709 LysoPC(0:0/18:0) 524.3711 M+H 9
1.51 553.3871 30.444 LysoPE(22:1(13Z)/0:0) 553.3976 M+HN4 19
1.58 592.34 23.119 LysoPC(22:5(4Z,7Z,10Z,13Z,16Z)/0:0) 592.3374 M+Na 4
1.55 400.3399 23.276 MG(0:0/20:2(11Z,14Z)/0:0) 400.3421 M+NH4 6
1.99 334.2046 28.061 2-trans,4-cis-Decadienoylcarnitine 334.1989 M+Na 17
1.62 136.0219 14.858 Lysylvaline 263.2078 M+NH4 21

Figure 5.

Figure 5

Serum metabolic profiling. (A) Heatmap of metabolic profiles at different time points after cobra venom intra-ION injection. (B) Heatmap of metabolic profiles in different groups of rats.

To examine if curcumin treatment changed metabolites in trigeminal neuralgia conditions, we found 29 potential biomarkers, which were significantly different between TN + curcumin treatment group and TN + vehicle group in the serum samples (Figure 5B), and are summarized in Table 2. Among them the amounts of CE (20:0), LysoPC(O-18:0), 9ʹ-Carboxy-alpha-chromanol, and LysoPC(14:1(9Z)) were much less in the TN + curcumin group than in the TN + vehicle group.

Table 2.

Identified Metabolites from the Serum Collected from TN Rats Received Curcumin Treatment or Vehicle

VIP M/Z RT Biomarker [M+X]+ Adduct MW Delta Ratio (Sham/Cobra Venom/Curcumin) Ratio (1/2/4/6 Weeks)
2.11 400.3416 23.1 Thyroxine M+H+Na 400.341588 0.000012 1.23/0/1.00 0/0/0/0
1.98 563.3063 20.51 Tauroursodeoxycholic acid M+ACN+Na 563.312524 0.006224 1.00/0/0 0/1.00/0/0
1.96 352.3379 10.09 CE(20:0) M+H+Na 352.321813 0.016087 1.00/6.02/0 1.70/1.37/1.19/1.00
1.96 553.3871 30.44 LysoPE(22:1(13Z)/0:0) M+NH4 553.397613 0.010513 9.74/1.00/11.44 0/0/0/1.00
1.9 834.8802 1.14 Somatostatin M+H+NH4 834.886702 0.006502 12.02/1.00/0 2.51/3.82/3.89/1.00
1.82 810.5966 33.55 PC(20:1(11Z)/16:0) M+Na 810.598323 0.001723 12.55/1.00/5.54 3.81/12.28/7.64/1.00
1.77 1,107.617 20.49 Ganglioside GT1c (d18:0/24:0) M+2H 1,107.598171 0.018829 1.00/0/0 1.07/1.45/1.00/0
1.7 1,531.913 21.79 Ganglioside GM2 (d18:1/23:0) M+DMSO+H 1,531.928052 0.014852 14.53/15.38/1 1.00/1.34/1.52/1.49
1.7 1,088.6519 22.39 Trihexosylceramide (d18:1/9Z-18:1) M+K 1,088.649373 0.002527 1.65/1.00/0 1.05/1.61/1.74/1.00
1.69 1,132.6215 20.85 Ganglioside GT1b (d18:0/26:0) M+H+Na 1,132.604792 0.016708 1.47/1.00/1.04 1.04/1.49/1.05/1.00
1.69 539.3086 20.44 1-Oleoylglycerophosphoserine M+NH4 539.309192 0.000592 2.47/1.00/0 1.00/1.95/2.16/1.09
1.68 264.2662 19.3 Cer(d18:1/14:0) M+H+NH4 264.260947 0.005253 7.59/7.81/0 1.00/1.31/1.87/2.01
1.68 572.368 22.71 PC(18:1(9Z)e/2:0) M+Na 572.368658 0.000658 5.71/1.00/1.43 4.04/4.14/3.49/1.00
1.64 504.304 20.6 LysoPE(0:0/18:0) M+Na 504.306057 0.002057 1.29/1.00/0 3.58/1.00/1.38/3.92
1.64 542.3227 19.73 LysoPC(20:5(5Z,8Z,11Z,14Z,17Z)) M+H 542.324115 0.001415 9.73/5.47/1.00 1.20/1.65/1.79/1.00
1.6 1,530.9088 21.79 Ganglioside GD3 (d18:0/22:0) M+H 1,530.925401 0.016601 4.86/5.22/1.00 1.00/1.34/1.52/1.49
1.56 520.3376 20.84 LysoPC(18:2(9Z,12Z)) M+H 520.339765 0.002165 1.41/1.41/1.00 1.12/1.00/1.13/1.06
1.56 540.3058 21.79 LysoPC(18:3(9Z,12Z,15Z)) M+Na 540.306057 0.000257 1.34/1.33/1.00 1.00/1.20/1.28/1.27
1.56 506.299 22.4 Lithocholyltaurine M+Na 506.291062 0.007938 1.91/1.60/1.00 1.13/1.17/1.25/1.00
1.55 566.3179 20.96 LysoPC(20:4(8Z,11Z,14Z,17Z)) M+Na 566.321707 0.003807 1.14/1.00/1.41 1.51/1.17/1.00/1.09
1.55 541.3245 22.4 1-Stearoylglycerophosphoserine M+NH4 541.324842 0.000342 2.59/1.95/1.00 1.00/1.88/2.03/1.55
1.54 569.3402 20.74 Deoxycholic acid 3-glucuronide M+H 569.332024 0.008176 1.61/1.22/1.00 1.00/1.43/1.11/1.03
1.53 510.3868 25.74 LysoPC(O-18:0) M+H 510.391801 0.005001 0/3.00/1.00 1.00/0/3.61/6.27
1.53 413.2673 23.63 9ʹ-Carboxy-alpha-chromanol M+Na 413.266228 0.001072 0/3.54/1.00 2.84/1.00/1.34/6.01
1.53 522.3531 22.41 LysoPC(18:1(9Z)) M+H 522.355416 0.002316 1.61/1.42/1.00 1.20/1.16/1.20/1.00
1.51 526.2891 20.59 LysoPE(0:0/20:3(8Z,11Z,14Z)) M+Na 526.290407 0.001307 2.85/2.92/1.00 1.00/1.39/1.39/1.37
1.51 466.3025 22.42 LysoPC(14:1(9Z)) M+H 466.292815 0.009685 2.56/7.63/1.00 1.00/1.15/6.69/8.95
1.5 494.3218 20.09 LysoPC(16:1(9Z)) M+H 494.324115 0.002315 3.10/1.70/1.00 1.53/2.09/1.66/1.00
1.5 546.3526 21.68 LysoPC(18:0) M+Na 546.353008 0.000408 2.34/1.22/1.00 2.15/2.62/1.77/1.00

Last, we conducted metabolic pathway analysis and found that the metabolites changed along the progress of TN after cobra venom intra-ION injection were related to glycerophospholipid metabolism (Supplementary Figure 2). Considering that curcumin treatment can effectively relieve chronic pain and depressive-like behaviors in our TN model, we furthermore compared small molecule metabolites between the TN + curcumin treatment and TN + vehicle groups, and found differences in several metabolic pathways between groups such as glycerophospholipid metabolism, ether lipid metabolism, linoleic acid metabolism, alpha-linolenic acid metabolism, pentose and glucoronate interconversions, starch and sucrose metabolism, steroid biosynthesis, arachidonic acid metabolism, and tyrosine metabolism, suggesting their potential roles in the development of chronic pain and chronic pain induced depression (Figure 6).

Figure 6.

Figure 6

Pathway enrichment analysis of metabolites changed by curcumin treatment. (A) Pathway analysis of the effects of curcumin treatment on (a) Ether lipid metabolism, (b) Glycerophospholipid metabolism, (c) Pentose and glucuronate interconversions, and (d) Starch and sucrose metabolism in TN rats. (B) Glycerophospholipid metabolism (C04598: 2-Acetyl-1-alkyl-sn-glycero-3-phosphocholine, C04317: 1-Alkyl-2-lyso-sn-glycero-3-phosphocholine). (C) Ether lipid metabolism (C00157: Phosphatidylcholine, C04230: 1-Acyl-sn-glycero-3-phosphocholine. C03033: Glucuronide). (D–F) The enrichment pathway analysis of the effects of curcumin treatment in TN rats.

Discussion

In this study, we investigate the metabolic mechanism underlying chronic pain-induced depression through using a previously described trigeminal neuralgia rat model. Significant depression-like behaviors indicated by decreased sucrose preference and prolonged immobility during swimming, were observed in rats with trigeminal neuralgia. Furthermore, curcumin treatment may alleviate mechanical allodynia and depression-like behaviors in rats with trigeminal neuralgia through regulating metabolites and metabolic pathways.

Previous studies on the mechanisms of depression induced by chronic pain were mainly focused on psychology, anatomy, and neurochemistry. It is still unclear if the changes of serum metabolites under neuropathy conditions contribute to chronic pain and its induced depression. As sensitive markers of physiological activity, small molecule metabolites are the final products of cellular activities, which may reflect the abnormal molecular changes contributing to pain and pain-induced depression. In our study, we discovered 29 metabolite biomarkers in the blood serum from TN rats, which involve in phospholipids, lipids, cholic acids, and ganglioside metabolisms, etc (Figure 7).

Figure 7.

Figure 7

The effects of curcumin treatment on the expression of serum metabolite in TN rats. Differentially expressed metabolite pathways and their associated signaling networks (potential biomarkers were labeled by green solid box.).

Abundant studies have reported that neurotransmitters were changed by chronic pain in depression patients.26,27 In the present study, through metabolic profiling we found some hormones such as thyroxine and somatostatin were downregulated in TN rats. Both of them can regulate the endocrine system as neurotransmitters.28 Previous studies have indicated that thyroid dysfunction was related to depression in young patients. In animal model studies, rats with subclinical hypothyroidism showed depression-like behaviors indicated by increased immobility in both forced swimming and tail suspension tests.29–31 Somatostatin receptor subtype 4 was also found to be involved in anxiety and depression-like behaviors in a mouse model.32

We also detected a series of abnormal changes in phospholipid metabolism in TN rats, such as progressively decreased production of PC(18:1(9Z)e/2:0)) and LysoPC(20:4(8Z,11Z,14Z,17Z), and increased production of LysoPC(O-18:0) and LysoPC(14:1(9Z)). Phospholipids, ingredients for biological membranes, bile, and surface active substances participated in the recognition and signal transduction performed by cell membrane proteins.33,34 PC is a precursor of acetylcholine, which is a neurotransmitter associated with memory and cognition,35 and can be transformed from PS or PE. PC belonging to (20:1(11Z)/16:0) phosphatidylcholine (KEGG Database Compound ID C00157) and lysoPC (20:5(5Z,8Z,11Z,14Z,17Z)), lysoPC (18:2(9Z,12Z)), lysoPC (18:3(9Z,12Z,15Z)), lysoPC (20:4(8Z,11Z,14Z,17Z)), lysoPC (18:1(9Z)), lysoPC (14:1(9Z)), lysoPC (16:1(9Z)), and lysoPC (18:0) belonging to 2-Lysolecithin (KEGG Database Compound ID C04230) are two big groups of glycerophospholipid and important for various biological functions. Under TN condition, we found phosphatidylcholine was progressively decreased; and on the other hand, 2-Lysolecithin was increased suggesting their potential roles in the development of chronic pain and the pain related depression.

The altered ganglioside metabolism found in our TN models also confirmed its important role in depression reported by a previous study.36–38

It has been widely believed that there is a close correlation between depression and liver diseases. A recent study found lipid metabolism in liver was significantly changed in a mouse model of depression,39 demonstrated by increased liver secreting lecithin cholesterol acyltransferase, which enhanced the blood level of lysophosphatidyl choline. Consistent with these findings, we also detected metabolites changes related to bile acid metabolism, such as CE (20:0), tauroursodeoxycholic acid,40 lithocholyltaurine,41 and deoxycholic acid 3-glucuronide.42

The benefits to the nervous system from curcumin have been intensively studied. In summary, curcumin can modulate the expression of monoamine oxidase, serotonin, dopamine, and neurotropic factors, and regulate the hypothalamus pituitary adrenal axis, and hippocampal neurogenesis and neuroplasticity, which are involved in the development of depression induced by chronic pain.43–47 Antinociceptive and antidepressant properties of curcumin have been evidenced in quite a few of the studies done in animal models.48–51 Moreover, curcumin was suggested to improve depressive symptoms in several clinical trials.49,52 A recent meta-analysis also suggested that curcumin as an add-on therapy may improve depressive and anxiety symptoms in human patients.53

In the present study, consistent with previous studies, we found curcumin effectively relieve mechanical allodynia and pain related depression in our TN rat models. More importantly, our results demonstrated that curcumin treatment normalized two most significant glycerophospholipid metabolism changes in TN rats by increasing the expression of PC(18:1(9Z)e/2:0) and LysoPC(20:4(8Z,11Z,14Z,17Z)) and decreasing the expression of LysoPC(O-18:0) and LysoPC(14:1(9Z)). Normalizing dysregulated glycerophospholipid metabolism under neuropathic condition may be a newly discovered mechanism, through which curcumin reduces chronic pain and improves pain related depression symptoms.

We admit that there are some limitations in this study. Based on our results we cannot exclude the possibility that our findings on the changes in serum metabolomic in neuropathic condition was the result instead of reasons of chronic pain, which had been found altering sphingomyelin-ceramide metabolism in the dorsal horn in a neuropathic pain model.54 Furthermore, the corresponding positive drug should be done as the control in animal experiments. In future studies, to avoid adaptation, appropriate control groups of animals would be added to forced swim test, if it has to be performed in multiple time points.

Conclusion

In this study, we found that metabolisms of ether lipid and glycerophospholipid were significantly changed in trigeminal nerve neuropathy condition, and may contribute to the generation of chronic pain and the correlated depression symptoms. Curcumin could alleviate pain and depression by modulating small molecule metabolite changes. The roles of small molecule metabolite changes in chronic pain conditions has only been studied in recent years, and has been proved to be a very promising research direction.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (81901125) and the Research Foundation of Beijing Friendship Hospital, Capital Medical University # yyqdkt2018-23 (LX.A.). The authors thank Fan Liu for discussions on data analysis and manuscript drafting.

Abbreviations

ION, infraorbital nerve; MWT, mechanical withdrawal thresholds; HPLC, high performance liquid chromatography; SD, Sprague Dawley; LCMS-IT-TOF, liquid chromatography liquid chromatography-ion trap-time of flight; PCA, principal component analysis; PLS-DA, partial least squares discriminant analysis. TN, trigeminal neuropathy.

Data Sharing Statement

There is no data, software, databases, and application/tool available apart from those reported in the present study. All data is provided in the manuscript and Supplementary Table 1 and Supplementary Figures 1 and 2. Data sharing statements: Participants gave informed consent for anonymized data sharing. The full data set is available on reasonable request from the corresponding author, Dr Zhang zhangli8828@163.com.

Details of Ethical Approval

All animal procedures performed in this study were reviewed and approved by the Institutional Animal Care and Use Committee in Beijing Friendship Hospital, Capital Medical University (Beijing, China) and were conducted in accordance with the guidelines of the International Association for the Study of Pain.

Consent for Publication

Not applicable.

Author Contributions

All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; agreed to submit to the current journal; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.

Disclosure

The authors declare that they have no competing interests.

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