Abstract
Objective
Major depressive disorder (MDD) affects 300 million people globally. Because dysbiosis may alter the central nervous system, it plays a potential role in this disorder. Dysbiosis is characterized by a decrease in microbial diversity and an increase in proinflammatory species. The human gut microbiota refers to the trillions of microbes, such as bacteria, that live in the human gut. The purpose of this study was to compare the gut microbiota of patients with MDD with that of healthy controls.
Methods
This case-control study involved 35 MDD cases and 35 healthy age- and sex-matched controls. Stool samples were collected and subjected to quantitative real-time PCR. Four intestinal bacterial phyla (firmicutes, bacteroidetes, actinobacteria, and proteobacteria) were investigated by 16SrRNA analysis.
Results
The findings indicated a relative abundance of bacteroidetes to firmicutes in the control and case groups was 0.66 vs. 1.33, respectively (p < .05). There were no significant differences in actinobacteria or proteobacteria among those in the MDD group compared to the healthy control group.
Conclusions
Gut microbiota dysbiosis may contribute to the onset of depression, underscoring the importance of understanding the relationship between MDD and gut microbiota. Firmicutes, which produce short-chain fatty acids, are crucial for intestinal health. However, dysbiosis can disrupt the gut microbiota, impacting the central nervous system and contributing to the onset of depression.
Introduction
An estimated 300 million people globally suffer from Major Depressive Disorder (MDD), 1 a crippling mental condition that is linked to around 800,000 suicide fatalities per year. 2 The symptoms of MDD include low mood, low self-esteem, and a loss of interest in once-enjoyable activities. 3 In addition, depression is linked to a higher risk of immunological deficiencies, and metabolic diseases, including type 2 diabetes mellitus, atherosclerosis, heart disease, hypertension, stroke, cognitive decline, and dementia. 4 Numerous researchers have tried to use neurotransmission deficits, neurotrophic changes, and abnormalities in neuroanatomical structure to explain the pathophysiology of depression. None of these theories, nevertheless, was able to explain everything.5,6 Additionally, the importance of gut microbiota in preserving homeostasis in health and in the etiology of numerous diseases is becoming increasingly recognized. This is currently being extended to include central nervous system disorders. 7 The term “microbiota” refers to all microorganisms that are present on or in the human body; the gut contains 1014 different types of microbe cells. 8 The study of the microbiome has advanced dramatically over the last 20 years, shedding light on the numerous ways that these microscopic intruders affect our day-to-day existence. It is now clear that the microbiota take part in a major role in regulating host physiology and determining human health and disease. 9 There is growing evidence that the gut microbiota is involved in brain function and the development of neuropsychiatric disorders, such as MDD. 10 Consisting of roughly 40,000 bacterial species and 1800 distinct phyla, the microbiome is a collection of trillions of microorganisms, including bacteria, that live in and interact with human hosts, with effects ranging from beneficial to pathogenic. 11 It has been linked to various aspects of human health and disease. Numerous pieces of evidence support the idea that anxiety disorders and other related behavioral disorders are influenced by the microbiota. Changes in the mice’s microbiota’s structure are influenced by ongoing stress.12,13 The microbiota–gut–brain axis is the name of the communication pathway that the human gut microbiome uses to exchange communication pathways with the central nervous system (CNS). It is thought that the microbiota-gut-brain axis regulates the vagus nerve, which in turn affects the synthesis of immune mediators and microbial metabolites that alter neurotransmission, neuroinflammation, and behavior.14-17 Preclinical research continues to imply that microorganism’s impact host behavior and brain development through the microbiota-gut-brain axis. The disruption of the neuroimmune-neuroendocrine system in depression is triggered by the gut microbiota. 18 The majority of studies on the influence of microbiota on host behavioral patterns have been carried out on mice or rats; the relationship between human depression and microbiota is until now unclear. 19 Due to the high prevalence of depression and the numerous complications and risks of MDD, especially suicide, the present study aimed to evaluate an association between gut microbiota dysbiosis and MDD.
Materials and methods
Sample collection
The study was designed as a case-control study. The stool samples were collected from 2022 to 2023. The inclusion criteria were age and gender, which should have been checked and matched between the case and control groups. Thirty-five outpatients with depression disorders were diagnosed by the physician. The MDD patients were diagnosed according to ICD-5 criteria. (A) Briefly, 5 (or more) of the subsequent symptoms have existed during the same 2-week period and characterize an alteration from the preceding active; at least 1 of the symptoms is either (1) depressed attitude or (2) loss of interest or preference. (1) Depressed mood most of the day, nearly every day, as specified by either a subjective report or clarifications prepared by others. (2) Obviously reduced attention or pleasure in all, or almost all, activities most of the day, nearly every day. (3) Major weight loss when not dieting or weight gain, reduction, or intensification in appetite nearly every day. (4) Insomnia or hypersomnia nearly every day. (5) Psychomotor tension or retardation occurs nearly every day. (6) Fatigue or loss of energy nearly every day. (7) Moods of worthlessness or excessive or inappropriate guilt closely every day. (8) Reduced capability to think or focus, or indecisiveness, nearly every day. (9) Regular thoughts of death, repeated suicidal ideation without a specific plan, a suicide attempt, or a specific plan for obligating suicide.
(B) The symptoms cause clinically significant distress or impairment in social, occupational, or other important areas of functioning. (C) The event is not attributable to the direct physiological effects of a substance or to another medical condition. (D) The occurrence of the major depressive episode is not better clarified by schizoaffective disorder, schizophrenia, schizophreniform disorder, delusional disorder, or other specified and unspecified schizophrenia spectrum and other psychotic disorders. (E) There has never been a manic or hypomanic episode. NOTE: This elimination does not determine if all of the manic-like or hypomanic-like episodes are substance-induced or are attributable to the physiological effects of another medical disorder. 19
In the current study, individuals with MDD were selected at the Razi Tabriz Mental Health Center in Iran. The patients were Iranian MDD outpatients aged 18 to 60 years. The exclusion criteria were treatment-resistant depression, the existence of other psychological illnesses, and neurodegenerative illnesses. Furthermore, persons with other diagnostic maladies such as inflammatory bowel disorders, gastric disease, and gastric cancer; the participants who described changes in diet habits or had unusual dietetic foods or antibiotic use within 1 month prior to sampling were excluded. All participants provided written informed consent. The current study was in agreement with the Declaration of Helsinki.
Thirty-five healthy control (HC) samples were also collected with the same demographic features, age- and sex-matched healthy subjects were recruited as controls.
16SrRNA analysis
Fecal samples were collected for identification by quantitative real-time PCR and transported to a −70°C freezer until the test. Total genomic DNA was extracted from frozen fecal samples that were first allowed to thaw on ice, then 50 g of stool samples were used for DNA extraction by the
DNA extraction kit (Azma Gene Company, Iran) operating as per the manufacturer’s instructions. Then 4 intestinal bacterial phyla, including firmicutes, bacteroidetes, actinobacteria, and proteobacteria, were investigated by 16SrRNA analysis using the real-time PCR reaction previously described. 20
Statistical analysis
Statistical analysis was used by SPSS version 20 software, and both groups were compared in terms of frequency and type of bacterial phyla. The mean standard deviation was used to report quantitative values, and a P value <.05% was considered a significant association.
Results
The total number of bacteria in the phyla in control and depression groups.
aMDD, major depressive disorder.
Discussion
The present study found that there was a significant decrease in the level of firmicutes and bacteroidetes phylum, On the other hand, there were no significant differences in actinobacteria and proteobacteria in the MDD group compared to the HC group. As a matter of fact, a variety of intestinal microbiota can significantly contribute to the development of behavioral and psychiatric illnesses by influencing the body’s immunological and inflammatory systems and generating metabolites. This lends credence to the theory that the gut microbiota influences brain activity through the complexes that mediated inflammatory responses (inflammasome signaling platform), which modifies brain function and behaviors associated with anxiety and depression. 21
The 2 main bacterial phylotypes that inhabit a healthy human gut are firmicutes and bacteroidetes. Firmicutes comprise between 40% and 65% of the colon or fecal microbiota. 22 Reduced intestinal barrier function can result from the firmicutes in the gut microbiota fermenting carbohydrates into a range of short-chain fatty acids (SCFAs).23,24 Acetate, propionate, butyrate, and valerate are examples of SCFAs. Low SCFA has been connected to gut inflammation, an inflammatory state associated with depression, and has been linked to feelings of decreased energy and altered neurotransmission. 25 According to the previous reports, SCFAs can reduce colonic inflammation, increase the expression of IL10, activate regulatory T cells (Tregs), and prevent the generation of pro-inflammatory cytokines. 26 Faecalibacterium prausnitzii is a member of the firmicutes family of bacteria that is found in very small amounts. A reduction in the proportion of bacteria has been linked to a decline in the protective function of the intestinal mucosa. These results imply that firmicutes may function as a helpful and protective agent within the gut microbiome. The consequences of the “microbiota-gut-brain axis” have been the subject of numerous prior investigations. According to the study by Huang et al, 22 firmicutes significantly decreased in the MDD group as opposed to the control group, which is in line with our findings. However, Jiang et al 27 found that while firmicutes significantly decreased, bacteroidetes levels significantly increased in patients with major depressive disorder. Furthermore, Zheng et al 28 discovered that while there were no significant variations in the total relative abundances of firmicutes between MDD patients and healthy controls, there was a significant decrease in bacteroidetes in the MDD patient group. They also showed that mice exhibit depressive-like behaviors when their gut microbiome is absent. Depletion of gut microbiota (by antibiotic administration) during adulthood causes an increase in depressive-like behaviors, reduced visceral hypersensitivity, and impaired cognition, according to a study by Hoban et al. 29 The CNS serotonergic system and regular tryptophan availability depend on healthy gut bacteria. The gut microbiota’s diversity was significantly decreased by prolonged antibiotic usage during adulthood, especially in terms of firmicutes and bacteroidetes.
Prior research by Liu et al 30 showed that whereas bacteroidetes levels considerably rose in the MDD group. Firmicutes levels significantly decreased. Firmicutes exhibited a statistically significant decrease in the study by Kovtun et al, 31 while bacteroidetes showed a substantial rise in the MDD group. Overall, the synthesis of short-chain fatty acids, the metabolism of tryptophan, and the induction of cytokines are just a few of the ways the gut microbiota can impact the central nervous system and result in a variety of neurological and behavioral disorders. 10 The synthesis of active neurotransmitters, that pass from the gut to their target organs, including the brain, is mediated by the gut bacteria. Feces contain 2 neurotransmitters including glutamate and GABA. The CNS’s excitatory neurotransmitter is glutamate. The CNS’s most prevalent inhibitory neurotransmitter is GABA. There are other routes via which microbial GABA may transfer from the gut to other organs, such as the vagal or blood pathways. 32 The gut bacteria are likely responsible for the 400 μg of glutamate that accumulated in the colon. Then, the GABA producing bacteria converted a portion of the glutamate pool to GABA. The presence of bacteria that can decarboxylate glutamate to GABA can result in the production of a novel therapeutic agent for the treatment of psychiatric illnesses, especially those involving an imbalance between glutamate and GABA levels and stress relief.32,33 In our study, bacteroidetes significantly decreased in MDD group. In the previous studies have shown that bacteroidetes, perhaps the major bacterial producers of gamma-aminobutyric acid (GABA) in the human gut, were associated with clinically diagnosed MDD. It has been reported that mental disorders, such as depression, are negatively correlated with the abundance of GABA-producing bacteroidetes. Bacteria that produce GABA aid in the treatment of mental diseases like depression. A changed GABAergic profile has been linked to a number of diseases, including depression and psychiatric disorders linked to decreased fecal GABA.34,35 Furthermore, a reduction in GABA production 32 was seen in the majority of firmicutes bacteria, which were GABA producers, in our study. Due to all the reasons mentioned above, the gut microbiota dysbiosis presumably can be effective in causing psychiatric and behavioral disorders, including MDD, through the gut-brain axis, which was also observed in our study. This underlines the prospect of the gut microbiota as a novel treatment target for depression. Accumulating evidence supports the efficacy of several microbiota-target treatments in treating depression, including dietary interventions, fecal microbiota transplantation (FMT), probiotics, prebiotics, synbiotics, and postbiotics. In fact, based on current research and potential connections between gut microbiota and depression, MDD patients may benefit from improving their gut’s microbial balance. This can be achieved with the aid of the FMT method, and further research in the form of clinical trials is recommended. 36
Study limitations
The present study had some limitations, including a lack of access to sequencing-based methods for gut microbiota evaluation. The small sample size we employed was rather limited due to funding constraints, which is one of the study’s drawbacks. Another is that there aren’t enough relevant inflammatory indicators in our analysis. Also, single location and specific culture (geography) in terms of life style and diet (with foods potentially influencing the gut microbiota characteristics of the culture) were other limitations of this study.
Conclusion
The firmicutes had a significant decrease in the depression group and are the main producers of SCFAs in the human gut, which may be the physiological basis for inflammation in depression. In conclusion, our research indicates that gut microbiota dysbiosis may contribute to the onset of depression or the increasing intensity and progression of MDD. So, the modified microbiome and its metabolites may be useful for the management of MDD. The causative links between depression and gut microbiota may be clarified by future research examining microbiome metabolomics, and more investigation is required to look into how to restore the microbial balance.
Footnotes
Acknowledgements
We thank all the subjects who took part in this study. The research protocol was approved and supported by Student Research Committee, Tabriz University of Medical Sciences (grant number: 74661).
Author contributions
All authors made substantial contributions to conception, design, acquisition of data, analysis, and interpretation of data. Reza Ghotaslou: design the study, interpretation of data, approval the version of draft to be published. Farzaneh Rafie Sedaghat: drafted the article, acquisition of data. Pardis Ghotaslou: sample collection, acquisition of data, interpretation of data.
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
