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Depression is a neuropsychiatric disorder associated with persistent stress and neuronal dysfunction, typically resulting in neurological dysfunction in specific brain regions following stressful stimuli (1). Depression affects millions of individuals worldwide and puts patients at increased risk of suicide, leading to serious health and socioeconomic consequences (2). The pathogenesis of depression is complex and may be associated with low psychological and cognitive activity, and hippocampal neuronal damage due to reduced neurotransmitter levels and loss of neurotrophic factors, leading to dysregulated neuroplasticity (3) and neuroinflammation (4), as well as changes in the gut microbiota (5,6). At present, treatment for depression relies primarily on pharmacotherapy, with tricyclic antidepressants and selective serotonin (5-HT) reuptake inhibitors being commonly used classes of medications (7). However, current medications still have several limitations, including their single-target nature, a high risk of toxicity and drug resistance, and the fact that they do not exert the desired therapeutic effect in certain individuals (8). Therefore, exploring multi-pathway, relatively safe and effective antidepressant drugs is of great significance to the current research on depression. Herbal medicines have demonstrated unique advantages in this regard and have gradually become a common area of research (9).
Morinda officinalis oligosaccharides (MOOs) are bioactive compounds extracted from the root of the Chinese herb Morinda officinalis How (10). MOO is used as a tonic to enhance kidney function and improve sexual performance (11). In addition, MOOs exert neuroprotective effects in vitro and in vivo (12) and have also shown potent antidepressant activity in animal models of depression (13). Due to their own bioactivity, MOOs are also recognised as a functional ingredient that promotes intestinal health (14). Notably, MOO capsules were approved as an oral prescription drug by the National Medical Products Administration of China in 2012 for the clinical treatment of mild to moderate depressive episodes, MOO clinical antidepressant efficacy has been confirmed (15). However, to the best of our knowledge, the regulatory effects of MOOs on the brain-derived neurotrophic factor (BDNF)/tropomyosin receptor kinase B (TrkB)/cAMP response element-binding protein (CREB) signalling pathway in the hippocampus and gut microbiota have not been clearly elucidated. Furthermore, in the corticosterone (CORT)-induced chronic stress depression model, the characteristics of MOO-mediated regulation of gut microbiota composition and MOO protective effect on hippocampal neurons have not been systematically verified experimentally, which provides a core entry point for the present study.
Chronic stress (for example, due to CORT administration) has been used as an animal model of depression in antidepressant studies several times (16,17). In the present study, the effects of CORT on hippocampal damage and the effects of MOO treatment were assessed by examining hippocampal neuronal morphology. In addition, the composition of the gut microbiota of mice was analysed further to elucidate its relationship with depression via the microbiota-gut-brain axis.
The animal experiments were approved by the Experimental Animal Ethics Committee of the Center for Health Food Functional Testing, College of Applied Arts and Sciences (Beijing Union University, Beijing, China; approval no. JCZX11-2404-1). A total of 72 healthy male 8-week-old ICR mice weighing 28–30 g were purchased from Beijing Beiyou Biological Co., Ltd. [SYXK (Beijing) 2023–0013]. All mice were housed in a specific pathogen-free-grade animal room at the Health Food Functional Testing Center, College of Applied Arts and Sciences, Beijing Union University [license no. SYXK (Beijing) 2017–0038; Beijing, China], with a 12-h light-dark cycle at a constant temperature of 22±2°C and a relative humidity level of 45%. All mice were provided ad libitum access to standard laboratory chow and sterile drinking water. In this experiment, the general physiological status, fur condition, mental activity, food and water intake, and dynamic body weight changes of mice were monitored at fixed daily frequencies. Strict criteria for humane animal euthanasia endpoints were established: i) Body weight loss >20% for 3 consecutive days; ii) severe lethargy with inability to eat or drink independently; iii) occurrence of convulsions, severe physical injury or secondary infection; and iv) the animal entering an irreversible moribund state. No accidental animal deaths or unplanned premature euthanasia occurred throughout the study. The mice were anaesthetised via intraperitoneal injection of 1% sodium pentobarbital at a dose of 50 mg/kg calculated based on the body weight of the mouse. After the animal was deeply anesthetized and unconscious, euthanasia was performed by cervical dislocation. The death of animals was confirmed by cardiac arrest, cessation of spontaneous breathing and irreversible loss of the pupillary light reflex. All experimental procedures strictly complied with the 3R Principles and the Animal Research: Reporting of In Vivo Experiments Guidelines to minimize animal stress and suffering (18). The housing environment was maintained under standardized constant temperature and humidity conditions, and mice were housed in separate cages to prevent fighting and injury. Environmental enrichment toys were provided to enrich daily behavioural activities, fully safeguarding the welfare of laboratory animals.
CORT (MilliporeSigma) was dissolved in 0.9% saline containing 0.1% DMSO and 0.1% Tween 80, followed by sonication at 25°C and 40 kHz for 15 min to prepare a uniform suspension. During the experimental period, each mouse not in the control group was injected subcutaneously with 40 mg/kg/day CORT solution for 35 days (19). Mice were given subcutaneous injection of CORT at a dose volume of 0.1 ml/10 g body weight. Control mice were injected with an equal volume of 0.9% saline at the same time point.
After 1 week of acclimation, mice were randomly divided into six groups (n=12 per group): i) Control group, given 0.9% saline by gavage; ii) CORT model group, injected subcutaneously with 40 mg/kg CORT and given 0.9% saline by gavage; iii) MOO-L group, injected subcutaneously with 40 mg/kg CORT and administered 39 mg/kg MOOs by gavage; iv) MOO-M group, injected subcutaneously with 40 mg/kg CORT and administered 78 mg/kg MOOs by gavage; v) MOO-H group, injected subcutaneously with 40 mg/kg CORT and administered 156 mg/kg MOOs by gavage; and vi) fluoxetine group, injected subcutaneously with 40 mg/kg CORT and administered 20 mg/kg fluoxetine by gavage. In the present study, fluoxetine was used as a positive control to verify the validity and reliability of the experimental model and detection system, thereby providing a reference for evaluating the antidepressant effects of MOOs. The concentration of MOOs was set based on the recommended human dose, and the concentration of fluoxetine was performed as previously described (20).
MOO capsules (batch no. 2021B03527; 0.3 g MOO capsule containing 150 mg MOOs; Beijing Tongrentang Company Limited) and fluoxetine hydrochloride (cat. no. F131623; Shanghai Aladdin Biochemical Technology Co., Ltd.) were administered in a volume of 0.1 ml/10 g once per day. The drug was administered by gavage 30 min before CORT injection for 35 days. Behavioural tests were performed on day 36, and the experimental flow chart is shown in Fig. 1A. The samples administered to each group of mice were prepared in 0.9% saline.
The SPT is used to measure reward preference and detect depressive states such as pleasure deprivation (21). The two-bottle choice method was used to assess sucrose preference in mice. On the first day, two bottles containing 1% sucrose solution were placed in each cage for 24 h. Subsequently, the mice were subjected to a 16-h water fast. Next, the mice were provided with food and two bottles of liquid (1% sucrose solution and purified water), which were weighed, randomly placed and exchanged after 12 h to control for location effects on the choice behaviour of the mice. After 24 h, the consumption in each bottle was recorded, and the sucrose preference value was calculated (22) using the following formula: Sucrose preference (%)=sucrose intake (g)/[sucrose intake (g) + water intake (g)] ×100%.
The FST was used to measure depressive states (behavioural despair) in animals. Mice were placed in cylindrical containers (40 cm high and 15 cm in diameter) filled with just enough water to allow them to breathe but not stand upright. On day 1, all mice were trained to swim for 15 min. On day 2, after the mice were placed in the same environment for 1 min to acclimate, the immobility time was recorded within 5 min. Immobility time was defined as the time the mice floated on the water surface, balancing only by sliding their forelimbs. The protocol was performed as described previously (23).
Mice were fasted and dehydrated for 24 h, then placed in a new cage (30×30×25 cm) in the corner. Individual pelletized food was placed on a white sheet of paper in the centre of the box, and the time of the first feeding was recorded (24). Prior to the test, the food was weighed and placed in the home cages of the mice. Immediately after the test, the animals were returned to their own cages and allowed to eat for 15 min. After 15 min, the food was weighed again, and the amount of food consumed was calculated.
Mouse brain tissue was fixed in 4% paraformaldehyde at room temperature for 24 h, dehydrated with an ascending gradient of ethanol solutions, cleared with xylene and embedded in liquid paraffin for 90 min. Coronal sectioning was performed with a sectioning machine (Leica RM 2016; Leica Microsystems GmbH) with a section thickness of ~4 µm (25). All sections were subjected to routine H&E staining at room temperature for 5–10 min. Sections were treated with xylene and sealed with neutral adhesive. Subsequently, the pathological features of the brain tissues from mice were observed under a light microscope with panoramic section-scanning software (Pannoramic DESK/MIDI/250/1000; 3DHISTECH, Ltd.).
Fixed coronal sections (4 µm) were prepared from mouse brain tissues prefixed in 4% paraformaldehyde at room temperature for 24 h, mounted on slides and baked in an oven at 65°C for 1 h. The sections were stained with 0.5% toluidine blue O at room temperature for 10 min. The nidus was observed under a light microscope with SlideViewer (Version 2.9.0; 3DHISTECH) (26). Neurons were studied in three randomly selected fields of view and neurons with prominent nucleoli, observable rounded nuclei and intact cytoplasm with Nissl staining were counted as positive cells. Neurons with condensed cytoplasm and shrunken cytosol were considered damaged. The number of Nissl bodies in the hippocampal cornu ammonis 1 (CA1), CA3 and dentate gyrus (DG) regions was quantified using ImageJ (Version 1.54f; National Institutes of Health, USA).
Immunohistochemistry Immunohistochemistry was performed as described previously with minor modifications (26). Mouse brain tissue was fixed in 4% paraformaldehyde at room temperature for 24 h, dehydrated with an ascending gradient of alcohol solutions, embedded in paraffin and cut into 4 µm thick sections as described previously (27). Routine dewaxing to water was performed. Sections were heated in citrate buffer (pH 6.0) at 95–98°C for 20 min. Sections were washed with PBS three times for 3 min each, incubated with 3% H2O2 for 10 min to block endogenous peroxidase activity and washed with PBS three times for 3 min each. After removing residual PBS, sections were blocked with 10% unimmunized normal sheep serum (Solarbio, Beijing, China) at 37°C for 30 min to eliminate non-specific binding. Sections were then washed with PBS three times for 3 min each. The neuronal nuclear antigen (NeuN; 1:500; cat. no. 26975-1-AP; Proteintech Group, Inc.) and BDNF (1:500; cat. no. ab108319; Abcam) primary antibodies were added overnight at 4°C. Goat anti-rabbit HRP-labelled secondary antibody (1:500; cat. no. SA00001-2; Proteintech Group, Inc.) was added, and the tissues were incubated at 37°C for 60 min. Signals were developed using DAB) chromogen. Tissues were counterstained with haematoxylin at room temperature for 5 min. Sections were dehydrated through a series of descending gradient alcohol solutions, cleared using xylene and sealed with neutral resin. The pathological changes and protein expression in the hippocampal CA1, CA3 and DG regions were observed under a light microscope and analysed using the CaseViewer 2.3.0 image analysis system (3DHISTECH, Ltd.). Three consecutive different fields of view were randomly selected in each section, and the expression levels of NeuN and BDNF were quantitatively analysed using ImageJ software (Version 1.54f; National Institutes of Health, USA).
A total of 100 µg protein lysate was extracted from the hippocampus using RIPA lysis buffer (cat. no. WB-0072; Beijing Dingguo Changsheng Biotechnology Co., Ltd.) and PMSF protease inhibitor cocktail (cat. no. WB-0181; Beijing Dingguo Changsheng Biotechnology Co., Ltd.). The resulting lysate was centrifuged at 5,000 × g for 5 min at 4°C and the supernatant was collected (28). 5-HT (cat. no. CSB-E08365m), dopamine (DA; cat. no. CSB-E08661m) and norepinephrine (NE; cat. no. CSB-E07870m, all from Cusabio Technology, LLC) levels were measured in the hippocampal lysate by ELISA according to the manufacturer's instructions. The absorbance was measured at 450 nm.
RT-qPCR was used to detect the mRNA expression levels of BDNF, TrkB and CREB in the hippocampus. Total RNA was extracted from the hippocampus of mice using RNA extraction kit (cat. no. NEP017; Beijing Dingguo Changsheng Biotechnology Co., Ltd.) and RNA purity and content were assessed. RT was performed using an mRNA RT kit (TransGen Biotech Co., Ltd.) (29) at 42°C for 15 min. The entire RT-qPCR temperature protocol was set as follows: Pre-denaturation at 95°C for 30 sec, followed by 40 cycles of denaturation at 95°C for 15 sec and annealing/extension at 60°C for 30 sec. SYBR Green I fluorophore (TransGen Biotech Co., Ltd.) was used for fluorescence signal detection. Amplification was performed using a real-time fluorescent qPCR system (Anhui Wanyi Science and Technology Co., Ltd.). GAPDH was selected as the reference gene. The relative mRNA expression levels were calculated via the 2−ΔΔCq method (30). The primer sequences are shown in Table I.
Western blotting was performed as described previously with minor modifications (31). Hippocampal tissue was collected and lysed with RIPA lysis buffer (cat. no. WB-0072; Beijing Dingguo Changsheng Biotechnology Co., Ltd.). Tissue homogenate was centrifuged at 5,000 × g for 15 min at 4°C and the supernatant was collected for subsequent protein quantification using a BCA assay. After protein quantification, equal amounts of protein (40 µg of protein per lane) were separated via 10% SDS-PAGE). The separated proteins were transferred to PVDF membranes, which were blocked with 5% BSA (cat. no. FA016-100G; Genview) at room temperature for 2 h to block non-specific binding sites. The membranes were then incubated overnight at 4°C with one of the following primary antibodies: BDNF (1:10,000; cat. no. ab108319), TrkB (1:5,000; cat. no. ab187041; Abcam), phosphorylated (p-)TrkB Tyr705 (1:1,000; cat. no. ab229908; all Abcam), CREB (1:1,000; cat. no. 9197), p-CREB Ser133 (cat. no. 9198) or β-tubulin (all 1:1,000; cat. no. 2128; all Cell Signaling Technology, Inc.). Membranes were washed three times with 0.1% TBST) and incubated with HRP-conjugated anti-rabbit IgG (H+L) secondary antibody (1:1,000; cat. no. A0208; Beyotime Biotechnology) for 2 h at room temperature. After three additional washes with TBST, protein bands were visualised using ECL (cat. no. WBKLS0100, Millipore). The grayscale values of protein bands were quantitatively analyzed using ImageJ software (Version 1.54f; National Institutes of Health).
At the end of the behavioural tests, faecal samples from mice were collected, frozen in liquid nitrogen and stored at −80°C until further processing. Total microbial genomic DNA was extracted from the faecal samples using a Faecal Genomic DNA Extraction Kit (cat. no. DP328; Tiangen Biotech Co., Ltd., Beijing, China) according to the manufacturer's protocol. The quality and integrity of extracted genomic DNA were assessed by 1% agarose gel electrophoresis (performed at 120 V for 20 min in 1X TAE buffer, followed by visualization with a gel imaging system), while DNA concentration and purity were determined using a NanoDrop spectrophotometer. The highly variable V3-V4 region of bacterial 16S rRNA genes was amplified using specific forward and reverse primers: 341F (5′-CCTACGGGGNGGCWGCAG-3′) and 806R (5′-GGACTACHVGGGGTATCTAAT-3′), generating a 470-bp amplicon. PCR amplification was performed using Taq DNA Polymerase (cat. no. ET101; TransGen Biotech Co., Ltd., Beijing, China). The thermocycling conditions were set as follows: initial pre-denaturation at 95°C for 3 min; 35 cycles of 95°C for 30 sec, 55°C for 30 sec, and 72°C for 45 sec and a final extension at 72°C for 10 min. All samples were amplified in triplicate. PCR products were separated via 2% agarose gel electrophoresis and visualized using a gel imaging system, followed by gel extraction and purification. The purified amplicons were quantified using a NanoDrop spectrophotometer. The sequencing library was constructed using the TruSeq DNA PCR-Free Library Preparation Kit (cat. no. FC-121-3001; Illumina, Inc., USA). The final library concentration was measured by qPCR), and the library was loaded at a concentration of 10 nM for sequencing. Paired-end sequencing with a read length of 300 bp was performed on the Illumina MiSeq platform (Illumina, Inc., USA) using the MiSeq Reagent kit v3 (cat. no. MS-102-3003; Illumina, Inc.) for bidirectional sequencing of the V3-V4 region. Bioinformatics analysis of gut microbial community composition and diversity was performed using the NovoMagic analysis platform (Version 3.0; URL: http://magic.novogene.com). Raw sequencing data were processed through quality control, sequence splicing, and taxonomic annotation to complete the analysis of gut microbial characteristics (32). Microbial diversity and community composition analyses were performed using the integrated bioinformatics cloud platform of Novogene Co., Ltd. (Beijing, China). For α diversity analysis, the richness and diversity of microbial communities were evaluated based on the Chao1 and Shannon indices, and statistical differences among groups were analyzed to reflect the complexity of species diversity within each sample. Beta diversity was assessed to compare the similarity of microbial community structures across groups. Principal coordinate analysis (PCoA) was performed based on Bray-Curtis distance to visualize the overall differences in microbial community composition. To verify the significance of community structural differences between groups, analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (ADONIS) were conducted using permutation tests. ANOSIM was used to evaluate the degree of difference between and within groups, while ADONIS was applied to quantify the interpretation degree of grouping factors for microbial community variation and assess the statistical significance of differences. PetalPlot analysis was performed using R software (Version 4.2.1; The R Foundation for Statistical Computing) to systematically display the composition, distribution and relative abundance of dominant microbial taxa at multiple taxonomic levels. Linear discriminant analysis (LDA) effect size (LEfSe) analysis was finally carried out to screen biomarker species with significant differences among groups. The linear discriminant analysis (LDA) threshold was set to identify significantly differential taxa, which could characterize the specific microbial biomarkers responding to experimental treatments.
Statistical analysis was performed using SPSS version 10.0 (SPSS, Inc.) and graphs were generated using GraphPad Prism version 9.0 (Dotmatics). Data are presented as the mean ± standard deviation of three independent biological replicates. Differences between groups were assessed using one-way ANOVA, followed by Tukey's post hoc multiple comparison test. P<0.05 was considered to indicate a statistically significant difference.
Following 35 days of exposure to CORT and MOO treatments, there was a significant difference in sucrose preference between groups. Compared with the control group, mice exposed to CORT exhibited significantly lower sucrose preference in behavioural tests (P<0.01; Fig. 1B), suggesting that CORT induced depressive behaviours in mice. Sucrose preference was significantly higher in the MOO-L, MOO-M, MOO-H and fluoxetine groups compared with the CORT group (MOO-L, P<0.05; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01). In the FST, there were significant differences in immobilisation time among the groups (Fig. 1C). The immobilisation time of mice in the CORT group was significantly higher compared with that of mice in the control group (P<0.01), while different doses of MOOs and Fluoxetine significantly reduced the immobilisation time of mice exposed to CORT compared with that in the CORT group (MOO-L, P<0.05; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01). In the NSFT, the time to first feeding of mice in the CORT group was significantly longer than that of the control group (P<0.01, Fig. 1D), whereas treatment with medium and high doses of MOOs and fluoxetine significantly shortened the time to first feeding of CORT-induced mice (MOO-L, P>0.05; MOO-M, P<0.01; MOO-H, P<0.01; fluoxetine, P<0.01). There were no significant differences among the groups of mice in terms of food consumption within 15 min after returning to their own cages (P>0.05; Fig. 1E). Overall, these results suggested that MOOs reversed CORT-induced depression-like behaviour in mice.
H&E staining was used to assess the effects of different treatments on hippocampal histopathology. The results of H&E staining showed that neuronal cells in the CA1, CA3 and DG regions of the hippocampus of the control group were uniformly distributed, tightly arranged in a well-ordered manner, exhibited a physiologically normal structure without cytosolic wrinkles or deep staining phenomena, and possessed a clearly defined structure of the nuclear membrane and nucleolus, indicative of normal growth of neurons in the hippocampus of these mice (Fig. 2A). However, the CORT group exhibited neuronal structural ambiguities, enlarged gaps, and a loose and disorganized arrangement in the CA1, CA3 and DG regions, with notable cytosolic nuclear crumpling and cytosolic vacuolation phenomena, indicative of mild lesions and neuronal cell damage. Compared with the CORT group, the structural abnormalities were reduced following MOO treatment at different doses and fluoxetine. The morphological integrity of neurons in the CA1, CA3 and DG regions of the hippocampus increased, and disorganisation, aberrant arrangement and cytosolic vacuolization decreased in a dose-dependent manner.
Nissl staining was used to assess morphological changes in hippocampal neurons and to determine whether MOOs could ameliorate CORT-induced hippocampal neuronal injury. The results of Nissl staining showed that in the hippocampal CA1, CA3 and DG regions of control mice, neurons were arranged regularly with clear cell boundaries. Nissl bodies were intact and evenly distributed in the cytoplasm (Fig. 2B). Compared with the control, the hippocampal CA1, CA3 and DG regions of mice in the CORT group exhibited disintegration of Nissl vesicles and a significant reduction in the number of Nissl vesicles (CA1, P<0.01; CA3, P<0.01; DG, P<0.01; Fig. 2C-E), suggesting that CORT promoted hippocampal neuronal damage. Compared with the CORT group, different doses of MOOs and fluoxetine alleviated neuronal damage in hippocampal CA1 (all P<0.01), CA3 (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) and DG (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) regions, based on the significant increase in the number of Nissl vesicles. These results suggested that MOOs attenuated CORT-induced neuronal damage in the mouse hippocampus.
To further confirm whether MOOs improved CORT-induced neuronal damage in the hippocampus, the expression of the neuron-specific nuclear protein NeuN in the hippocampal CA1, CA3 and DG regions was assessed using immunohistochemistry. The CORT group exhibited a significant reduction in NeuN-positive expression in the pyramidal layer of hippocampal CA1, CA3 and DG regions compared with the control group (CA1, P<0.01; CA3, P<0.01; DG, P<0.01; Fig. 3A and C-E). Compared with the CORT group, administration of different doses of MOOs and Fluoxetine resulted in significant increases in the expression levels of NeuN in mouse hippocampal CA1 (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01), CA3 (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) and DG (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; fluoxetine, P<0.01) regions. NeuN was expressed in neuronal cytoplasm, and the positive cells exhibited a yellowish-brown colour. These results indicated that MOOs exerted neuroprotective effects on CORT-induced damage in mice.
BDNF protein expression in the CA1, CA3 and DG regions of the hippocampus after CORT and MOO treatment was subsequently assessed by immunohistochemistry. The BDNF-positive immunoreactive products were brownish-yellow or brown in colour and were centrally located in the cytoplasm and around the nuclear membranes in the form of a ring. Compared with those in the control group, the expression levels of BDNF in hippocampal CA1, CA3 and DG regions (CA1, P<0.01; CA3, P<0.01; DG, P<0.01; Fig. 3B and F-H) were significantly lower in the CORT group. Compared with the CORT group, MOOs and Fluoxetine significantly increased the BDNF protein expression levels in hippocampal CA1 (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01), CA3 (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) and DG (all P<0.01) regions. These results suggested that MOOs promoted the growth and development of hippocampal neurons in CORT-induced depressed mice, contributed to neurogenesis, and thus, exerted antidepressant effects.
To further investigate the effects of MOOs on hippocampal neurons, the mRNA and protein expression levels of genes and proteins involved in the BDNF/TrkB/CREB signalling pathway were examined. RT-qPCR results showed that the mRNA expression levels in the hippocampus of BDNF (P<0.01; Fig. 4A), TrkB (P<0.01; Fig. 4B) and CREB (P<0.01; Fig. 4C) were significantly downregulated in the mice in the CORT group compared with the control group. Treatment with medium and high doses of MOOs and Fluoxetine significantly upregulated BDNF (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; Fluoxetine, P<0.05), TrkB (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; Fluoxetine, P<0.01) and CREB (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; fluoxetine, P<0.01) mRNA expression in the hippocampus compared with that in the CORT group. These results suggested that MOOs reduced depression by regulating the mRNA expression levels of members of the BDNF/TrkB/CREB signalling pathway.
Western blotting results demonstrated that the BDNF (P<0.01; Fig. 4D), p-TrkB/TrkB (P<0.01; Fig. 4E) and p-CREB/CREB (P<0.01; Fig. 4F) levels in the hippocampus were significantly reduced in the CORT group compared with the control group. After MOO administration at medium, high doses and Fluoxetine, compared with the CORT group, the levels of BDNF (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01), p-CREB/CREB (MOO-L, P>0.05; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) and p-TrkB/TrkB (all P<0.01) in the hippocampus were increased. These results suggested that MOOs may alleviate depressive symptoms by regulating signalling in the BDNF/TrkB/CREB pathway, thereby modulating neuroplasticity to exert antidepressant-like effects.
In the present study, an ELISA was used to assess the effects of MOOs on monoamine neurotransmitter levels in the hippocampus. 5-HT (P<0.05; Fig. 5A), DA (P<0.05; Fig. 5B) and NE (P<0.01; Fig. 5C) levels in the hippocampus of CORT mice were significantly lower than those in the control group. The CORT-induced decrease in hippocampal 5-HT levels was significantly reversed by medium and high doses of MOOs and fluoxetine (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; Fluoxetine, P<0.01). DA and NE levels were also elevated (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; Fluoxetine, P<0.01). These results suggested that MOOs may ameliorate depression by modulating the monoamine neurotransmitterergic system.
High-throughput sequencing of full-length 16S rRNA from mouse faeces was performed to analyse the effect of MOOs on CORT-induced dysbiosis in mice. First, comparisons of operable taxonomic units (OTUs) of gut microorganisms were performed using the obtained feature sequences, which were subjected to PetaPlot analysis. The number of feature sequences common to all groups was 201. A total of 152 feature sequences were unique to the control group, 90 feature sequences were unique to the CORT group, 87 feature sequences were unique to the MOO-L group, 228 feature sequences were unique to the MOO-M group, 148 feature sequences were unique to the MOO-H group and 195 feature sequences were unique to the fluoxetine group (Fig. 6A). Anosim and Adonis analyses showed that gut microbiota composition in the control mice was significantly different from mice in the CORT, as well as between the MOO, fluoxetine group and the CORT group (Fig. 6B).
The α-diversity analysis revealed the abundance and diversity of gut microbial communities across the six sample groups. The α-diversity analysis results showed that, compared with the control group, in the CORT group, the Chao (P<0.01; Fig. 6C) and Shannon (P<0.01; Fig. 6D) indices were significantly lower, whereas the Simpson index (P<0.01; Fig. 6E) was significantly higher, indicating relatively low microbial abundance. When compared with the CORT group, medium and high doses of MOOs and Fluoxetine resulted in a relatively high microbial abundance. The Chao (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; Fluoxetine, P<0.01) and Shannon (MOO-L, P>0.05; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) indices were significantly higher, and the Simpson index (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; fluoxetine, P<0.01) was significantly lower, suggesting a relative increase in microbial richness. These results suggested that MOOs could increase the richness and diversity of gut microbiota in mice.
The β-diversity analysis compared species composition across microbial communities from different samples. For β-diversity analysis, principal coordinates analysis (PCoA) and non-metric multidimensional scaling (NMDS) were used to explore similarities or differences in community composition among the six sets of samples, and the coordinate plots were drawn. The closer the sample points were to each other, the more similar the samples were. One of the key parameters in NMDS is the stress coefficient; a stress value <0.2 indicates that the NMDS analysis is reliable. The β-diversity results showed that the NMDS stress value was 0.058 (Fig. 6G), which is <0.2, indicating that the results were significant. At the OTU level, PCoA and NMDS analyses showed that the microbial communities in each group were relatively visibly clustered, and the microbial communities in the control group and the CORT group were farther away and distributed in different areas, indicating that the control group and the CORT group had notably different microbial communities (Fig. 6F). In mice treated with MOOs and fluoxetine, the distribution of the microbial communities became closer to that of the control group in a dose-dependent manner, which was similar to the results obtained in the Anosim and Adonis analyses. These results suggested that MOOs positively influenced the composition of the CORT-induced gut microbiota dysbiosis.
To investigate the effects of MOOs on species composition and species abundance in CORT-induced mouse gut microbiota, species composition and abundance were assessed using species relative abundance histograms, which were generated based on the richness data of the top 10 genera in terms of their mean abundance. Differential species were analysed for each group. Portal-level analysis showed that the mouse gut microbiota consisted primarily of four dominant phyla, namely Bacteroidota, Firmicutes, Actinobacteriota and Proteobacteria, which accounted for >98% of the total in all groups (Fig. 7A). Compared with the control group, mice in the CORT group exhibited a significantly higher relative abundance of Bacteroidota (P<0.01; Fig. 7C), and a significantly lower relative abundance of Firmicutes (P<0.01; Fig. 7D) and Actinobacteriota (P<0.01; Fig. 7E). Compared with the CORT group, mice treated with medium and high doses of MOOs and fluoxetine exhibited a significantly lower relative abundance of Bacteroidota (MOO-L, P>0.05; MOO-M, P<0.01; MOO-H, P<0.01; fluoxetine, P<0.01), and a significantly higher relative abundance of Firmicutes (MOO-L, P>0.05; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01) and Actinobacteriota (MOO-L, P>0.05; MOO-M, P<0.05; MOO-H, P<0.01; Fluoxetine, P<0.01). These results suggested that MOOs had a positive regulatory effect on gut microbiota disorders in mice.
Genus-level analysis revealed that Lactobacillus, Ligilactobacillus and Dubosiella were the three dominant genera in the gut microbiota of mice (Fig. 7B). Compared with the control group, mice in the CORT group exhibited a decrease in the relative abundance of Lactobacillus (P<0.01; Fig. 7F) and Ligilactobacillus (P<0.01; Fig. 7G), and an increase in relative abundance of Dubosiella (P<0.01; Fig. 7H). Compared with the CORT group, the mice administered high doses of MOOs and fluoxetine exhibited an increase in the relative abundance of Lactobacillus (MOO-L, P>0.05; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P>0.05) and Ligilactobacillus (MOO-L, P>0.05; MOO-M, P>0.05; MOO-H, P<0.01; Fluoxetine, P<0.01). The relative abundance of Dubosiella was decreased (MOO-L, P<0.01; MOO-M, P<0.01; MOO-H, P<0.01; Fluoxetine, P<0.01). These results suggested that MOOs partially restored gut microbiota disorders by influencing the composition of the mouse gut microbiota.
LDA and LDA effect size (LEfSe) analysis were used to further identify species that differed significantly among groups and to determine the dominant organisms in each group. The results of the LEfSe analysis consisted of LDA score distribution histograms and evolutionary branching plots. With the LDA score histogram showing the effect size of differentially enriched taxa (Fig. 7I) and the cladogram visualizing their phylogenetic distribution across taxonomic levels (Fig. 7J). The results of LEfSe analysis identified 18 differentially abundant taxa (LDA>4) in the present study. Lactobacillus was the dominant genus in the control group, Negativibacillus was the dominant genus in the CORT group, Parasutterella was the dominant genus in the MOO-L group, Ligilactobacillus was the dominant genus in the MOO-H group and Clostridium_senus_stricto_1 was the dominant genus in the fluoxetine group.
Depression, a common mental illness, has a complex pathogenesis. MOOs, which are active substances in the Chinese herb Morinda officinalis, exhibit potential as a functional food (10,33). In the present study, SPT, FST and NSFT were used as indicators of depressive behaviours in mice to determine the effects of MOOs in terms of alleviating depressive behaviours in the CORT model. In general, a decrease in the sucrose preference rate, as well as an increase in immobilisation time and ingestion latency, are considered signs of depression (34). In the present study, 35 days of MOO treatment significantly improved CORT-induced depression-like behaviour in mice in behavioural tests.
In animal models of depression, the hippocampus is involved in the pathogenesis of depression and is the most widely studied region of the brain (35,36). Typically, pathological structural abnormalities and neurogenic dysfunction are present in the hippocampus of animal models and depressed patients (37,38). Nissl staining is frequently used to assess neuronal viability, as the number of Nissl bodies is considerably reduced in damaged neurons (39,40). Furthermore, NeuN is a key neuron-specific nuclear protein used as a marker for mature neurons, and its absence of expression implies diminished neuronal viability (41,42). There is evidence that fewer neural progenitor cells and mature granule neurons and lower numbers of granule neurons are observed postmortem in the hippocampal DG of depressed patients who have not received medication (43,44). Stress exposure-induced reductions in neurogenesis have been observed in depressed patients and rodent models of depression, and this change was reversed by long-term administration of antidepressant medication over a period of several weeks (45). In the present study, CORT markedly downregulated the expression of neuron-specific markers in the hippocampus and exacerbated neuronal damage., whereas MOO administration restored structural and functional integrity, resulting in increased expression of hippocampal neurogenesis markers, suggesting that the neuroprotective effects of MOOs are associated with the improvement of hippocampal neurogenesis.
The development of depression may be closely associated with an abnormal deficiency of monoaminergic neurotransmitters, and defective 5-HT function is an important cause of depression (46). Damage to neurons in the DG region of the hippocampus has been reported to decrease the number of neuronal synapses, leading to diminished neurotransmission and, in turn, depressive episodes (47). Previously, reduced monoamine neurotransmission between neuronal synapses has been shown to contribute to the development of depression (48,49). Depression is typically accompanied by neuronal damage in the hippocampus; this damage leads directly to decreased levels of monoamine neurotransmitters, such as 5-HT and NE, between neuronal synapses (50). At the molecular level, MOOs serve a role in the upregulation of aminohydroxylase activity and the downregulation of 5-HT decarboxylase activity in the intestines, leading to the synthesis and enrichment of 5-HT in the brain, and thus, exerting antidepressant effects (51). In the present study, MOO treatment at medium and high doses increased the levels of the neurotransmitters 5-HT, DA and NE in the hippocampus in a significant, dose-dependent manner. Thus, MOOs have the potential to ameliorate neuronal damage in mice, thereby increasing neurotransmitter levels and exhibiting antidepressant effects.
Depression and chronic stress are associated with altered synaptic plasticity. BDNF, a key determinant of neuroplasticity highly expressed in the hippocampus, is associated with neurogenesis, neuronal differentiation and synaptic plasticity (33,52). Increasing evidence suggests that decreased levels of BDNF and its receptor TrkB in brain tissues of depressed patients, which downregulate BDNF/TrkB signalling, can lead to reduced synaptic development as well as plasticity and induce depression (53,54). Direct injection of BDNF into the hippocampus has been reported to improve depression-like behavioural changes in depressed mice (55). Lepidium meyenii Walp-derived extracellular vesicles enhance the release of 5-HT by modulating the gut-brain axis to increase serum 5-HT levels, and 5-HT improves BDNF expression, a key regulator of neuronal plasticity, by modulating GTP-cell division cycle 42/ERK pathway activation and activating the BDNF/TrkB/AKT signalling pathway, thereby improving depressive behaviour (56). In another study, deep brain stimulation of the nucleus ambiguus mediated the dopaminergic pathway by increasing the expression levels of BDNF, which resulted in the enhancement of the expression of DA D1 receptors and DA D2 receptors in several brain regions, including the nucleus ambiguus and ventral hippocampus, which resulted in altered functional brain connectivity to promote synaptogenesis, thereby ameliorating the mood deficits in major depressive disorder (57). Consistent with the findings of the present study, rice protein peptide treatment enhances BDNF expression by upregulating the BDNF/TrkB/CREB signalling pathway, thereby improving depressive behaviour (58). These results suggest that MOO modulation of the BDNF/TrkB/CREB signalling pathway may involve other mechanisms, such as modulation of the 5-HTergic and dopaminergic systems and provide a molecular basis for the improvement of synaptic plasticity and enhancement of neurogenesis in hippocampal neurons.
Generally, depression is associated with ecological dysregulation of the gut microbiota, which is widely recognised as a target for the treatment of depression (59,60). 16S sequencing analysis showed that MOOs restored the structure of the gut microbiota and increased the abundance and diversity of the CORT-induced gut microbiota dysregulation. In the present study, MOO intervention elevated the abundance of Lactobacillus and Ligilactobacillus, and decreased the abundance of Dubosiella, with the effect increasing with higher MOO doses. Lactobacillus and Bifidobacterium, representatives of probiotics, have been shown to increase the expression levels of tryptophan hydroxylase 1 in the gut, and this enhancement led to an increase in the synthesis of 5-hydroxytryptophan, and subsequently promoted the release of 5-HT (61), resulting in anxiolytic and antidepressant effects. A related study showed that oral administration of Lactobacillus ameliorated depressive states in mice, with Lactobacillus supplementation increasing hippocampal BDNF levels and exerting antidepressant effects (62). These results suggest that the gut microbiota may be an important target for intervention in depression and that MOO intervention remodelled the composition of the mouse gut microbiota, increasing the abundance of beneficial bacteria and serving a beneficial role in modulating CORT-induced gut microbiota dysregulation in mice. Targeting the gut microbiota with therapeutic strategies holds promise for enhancing the effectiveness of pharmacologic treatments for depression. Our previous study demonstrated that MOOs alleviated chronic unpredictable mild stress (CUMS)-induced depression and sexual dysfunction via the BDNF pathway and gut microbiota remodeling (63). The present study achieved breakthroughs in model selection and mechanistic depth: The CORT-induced depression model, which complements the CUMS model, was employed, and the universality of the antidepressant effects of MOOs was validated. By combining hippocampal neuronal morphological identification and gut microbiota structural remodelling analysis, the present study systematically revealed a novel mechanism by which MOOs exerted antidepressant effects by synergistically repairing neuronal integrity and regulating the gut microbiota, providing more targeted scientific evidence for the clinical translation of MOOs.
In summary, the results of the present study suggest that MOOs attenuated CORT-induced depression-like behaviours exhibited by mice as assessed by SPT, FST and NSFT. This effect was achieved through a synergistic interaction between the BDNF/TrkB/CREB signalling pathway and 5-HT regulation. MOOs ameliorated neuronal damage in the hippocampus of mice by modulating the BDNF/TrkB/CREB signalling pathway, which in turn increased the levels of neurotransmitters in the hippocampus. In addition, MOOs regulated the composition and distribution of gut microbiota, thereby exerting further antidepressant effects. Overall, these findings suggested that MOO treatment may be a promising strategy for intervention and prevention of depression. Although the therapeutic efficacy of this approach was demonstrated in animal models of depression, further studies are required to investigate the underlying molecular mechanisms.
Not applicable.
The present study was supported by the Academic Research Projects of Beijing Union University (grant no. ZK10202204), the Open Research Fund of Beijing Key Laboratory of Bioactive Substances and Functional Foods, Beijing Union University (grant no. SWHX202105), the State Administration for Market Regulation Science and Technology Plan Project (grant no. 2023MK215), and the National Science and Technology Major Project (grant no. 2014ZX09301307).
The raw sequencing data generated in the present study may be found in the Genome Sequence Archive of the National Genomics Data Center, China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences, under accession number CRA041416 or at the following URL: https://ngdc.cncb.ac.cn/gsa/search?searchTerm=CRA041416. The other data generated in the present study may be requested from the corresponding author.
YS, XD and QL conceived the study and supervised the project. MH, ZL and YC performed the experiments. ZZ, XW and SW analyzed the data. MH wrote the manuscript. XW and YS confirm the authenticity of all the raw data. All authors contributed to editorial changes of important content. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work. All authors have read and approved the final version of the manuscript.
The present study was approved by the Health Food Functional Testing Centre of the College of Applied Arts and Sciences of Beijing Union University (approval no. JCZX11-2404-1), Beijing, China.
Not applicable.
ZZ and XW are employees of Beijing Tongrentang Company Limited, which supplied the MOO capsules used in the present study. The other authors declare that they have no competing interests.
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