The future of neuroimaging and gut-brain axis research for substance use disorders.

The gut-brain axis (GBA) has gained significant attention due to its putative contribution to neuropsychiatric disorders; however, the integration of GBA and the commonly used approach of MR neuroimaging in substance use disorders (SUD) research is unexplored. GBA research potentially will expand our understanding of addiction and provide a new paradigm to develop new SUDs therapeutics. SUDs research has a long history of describing the role of dopaminergic signaling in motivated behaviors and abnormal behavior traits distinctive of drug-seeking and drug use. Neuroimaging has been a valuable tool in this endeavor providing insights to understand in vivo mechanisms of drug-induced neural changes and aberrant circuitry after exposure to drugs of abuse in humans and animal models of SUDs. However, the up-and-coming GBA focus research can be an ideal complement to neuroimaging. GBA and neuroimaging can elucidate the complex interactions between the brain and gut that lead to pathological drug seeking and consumption and their relation to GBA components (i.e., bacterial populations, gut peptides, and gut signaling). Functional MRI and diffusion MRI are suitable candidates to elucidate new biomarkers of altered brain function and structure. In conjunction with gut microbiota analysis, neuroimaging provides us with the means to further understand the role of dysbiosis alternations in the gut microbiota in SUDs and further understand the bi-directional relationship between gut and brain. To this end, we review the potential avenues of GBA and neuroimaging collaboration for SUD research and potential targets for MR research biomarkers of SUD.

Impaired salivary SIgA antibodies elicit oral dysbiosis and subsequent induction of alveolar bone loss.

OBJECTIVE: Secreted IgA (SIgA) plays a central role in preventing bacterial and viral infections on mucosal surfaces by neutralizing toxins and viruses and inhibiting bacterial attachment to epithelial cells. However, the role of salivary SIgA antibodies (Abs) in regulating oral flora is still unknown. This study aimed to evaluate the association among oral bacteria, their metabolites and periodontitis in IgA-deficient (IgA KO) and wild-type (WT) control mice. METHODS: Microcomputed tomography (micro-CT) analysis was used to assess alveolar bone resorption as a development of periodontitis. The bacterial profiles of saliva were determined using the next-generation sequencing assays. Furthermore, the metabolites in saliva were measured and compared using CE-TOFMS. RESULTS: Salivary microbiota of IgA KO mice revealed a remarkably decreased frequency of Streptococcus, and increased percentages of Aggregatibacer, Actinobacillus, and Prevotella at the genus level when compared with those of WT. Compared to WT control mice of the same age, the level of alveolar bone loss was significantly increased in IgA KO mice, and infiltration of osteoclasts was found on the surface of the alveolar bone. The metabolome profile indicated that the metabolites of IgA KO mice had greater variability in carbon metabolic, urea cycle, and lipid pathways than WT mice. CONCLUSION: These results suggest that salivary SIgA plays an important role in regulating and maintaining normal oral microflora to prevent the development of periodontal disease.

Short-Chain Fatty Acids and Lipopolysaccharide as Mediators Between Gut Dysbiosis and Amyloid Pathology in Alzheimer's Disease.

BACKGROUND: Metagenomic data support an association between certain bacterial strains and Alzheimer's disease (AD), but their functional dynamics remain elusive. OBJECTIVE: To investigate the association between amyloid pathology, bacterial products such as lipopolysaccharide (LPS) and short chain fatty acids (SCFAs: acetate, valerate, butyrate), inflammatory mediators, and markers of endothelial dysfunction in AD. METHODS: Eighty-nine older persons with cognitive performance from normal to dementia underwent florbetapir amyloid PET and blood collection. Brain amyloidosis was measured with standardized uptake value ratio versus cerebellum. Blood levels of LPS were measured by ELISA, SCFAs by mass spectrometry, cytokines by using real-time PCR, and biomarkers of endothelial dysfunction by flow cytometry. We investigated the association between the variables listed above with Spearman's rank test. RESULTS: Amyloid SUVR uptake was positively associated with blood LPS (rho≥0.32, p≤0.006), acetate and valerate (rho≥0.45, p < 0.001), pro-inflammatory cytokines (rho≥0.25, p≤0.012), and biomarkers of endothelial dysfunction (rho≥0.25, p≤0.042). In contrast, it was negatively correlated with butyrate (rho≤-0.42, p≤0.020) and the anti-inflammatory cytokine IL10 (rho≤-0.26, p≤0.009). Endothelial dysfunction was positively associated with pro-inflammatory cytokines, acetate and valerate (rho≥0.25, p≤0.045) and negatively with butyrate and IL10 levels (rho≤-0.25, p≤0.038). CONCLUSION: We report a novel association between gut microbiota-related products and systemic inflammation with brain amyloidosis via endothelial dysfunction, suggesting that SCFAs and LPS represent candidate pathophysiologic links between the gut microbiota and AD pathology.

Constipation Increases Disability and Decreases Dopamine Levels in the Nigrostriatal System through Gastric Inflammatory Factors in Parkinson's Disease.

OBJECTIVE: Recent studies suggest that not only is constipation a clinical marker of premotor phase in Parkinson's Disease (PD), but is also correlated with the duration and severity. Some reports indicated that inflammatory from gut dysbiosis might be involved in the pathogenesis of PD, but the correlation between them remains poorly understood. This study aims to investigate how the presence of constipation affects the dopamine level of nigrostriatal system and whether gastrointestinal (GI) inflammation is involved in the brain-gut axis. METHODS: Clinical materials, serum inflammatory factors, and datum of dopamine level including 84 cases and 83 controls, were collected consecutively and randomly from November 1, 2017 to October 31, 2018. Dopamine levels of nigrostriatal system were detected by [18F]-DTBZ radiotracer (18F-AV-133). Data analysis was conducted by variance, covariance analysis, bicorrelation, partial correlation, chi-square analysis and logistic regression. RESULTS: The mean age of cases was older than that of controls, and male predominance was also observed (P<0.05). The mean scores of Hoehn-Yahr and unified Parkinson's disease rating scale Ⅲ (UPDRS-Ⅲ) were of significantly different duration between two groups (P<0.05). The total dose of levodopa was not different between two groups (P>0.05). The dopamine levels of putamen and caudate nucleus, especially in the dorsal part of putamen, were significantly decreased in cases than that in controls (P<0.05). There were significant differences of complement 3 (C3) and complement 4 (C4) between cases and controls (P<0.05). Dopamine levels in putamen and caudate nucleus were negatively correlated with serum concentrations of immunoglobulin A (IgA), immunoglobulin G (IgG) and C3 in cases (P<0.05). But we did not observe similar negative correlations in controls (P>0.05). CONCLUSION: The presence of constipation may increase the severity of motor symptoms and decrease dopamine levels of nigrostriatal system in PD. Inflammatory factors may be involved in the brain-gut axis of PD.

Alterations in Enteric Virome Are Associated With Colorectal Cancer and Survival Outcomes.

BACKGROUND & AIMS: Patients with colorectal cancer (CRC) have a different gut microbiome signature than individuals without CRC. Little is known about the viral component of CRC-associated microbiome. We aimed to identify and validate viral taxonomic markers of CRC that might be used in detection of the disease or predicting outcome. METHODS: We performed shotgun metagenomic analyses of viromes of fecal samples from 74 patients with CRC (cases) and 92 individuals without CRC (controls) in Hong Kong (discovery cohort). Viral sequences were classified by taxonomic alignment against an integrated microbial reference genome database. Viral markers associated with CRC were validated using fecal samples from 3 separate cohorts: 111 patients with CRC and 112 controls in Hong Kong, 46 patients with CRC and 63 controls in Austria, and 91 patients with CRC and 66 controls in France and Germany. Using abundance profiles of CRC-associated virome genera, we constructed random survival forest models to identify those associated with patient survival times. RESULTS: The diversity of the gut bacteriophage community was significantly increased in patients with CRC compared with controls. Twenty-two viral taxa discriminated cases from controls with an area under the receiver operating characteristic curve of 0.802 in the discovery cohort. The viral markers were validated in 3 cohorts, with area under the receiver operating characteristic curves of 0.763, 0.736, and 0.715, respectively. Clinical subgroup analysis showed that dysbiosis of the gut virome was associated with early- and late-stage CRC. A combination of 4 taxonomic markers associated with reduced survival of patients with CRC (log-rank test, P = 8.1 × 10-6) independently of tumor stage, lymph node metastases, or clinical parameters. We found altered interactions between bacteriophages and oral bacterial commensals in fecal samples from patients with CRC compared with controls. CONCLUSIONS: In a metagenomic analysis of fecal samples from patients and controls, we identified virome signatures associated with CRC. These data might be used to develop tools to identify individuals with CRC or predict outcomes.

Selective Imaging of Gram-Negative and Gram-Positive Microbiotas in the Mouse Gut.

The diverse gut microbial communities are crucial for host health. How the interactions between microbial communities and between host and microbes influence the host, however, is not well understood. To facilitate gut microbiota research, selective imaging of specific groups of microbiotas in the gut is of great utility but remains technically challenging. Here we present a chemical approach that enables selective imaging of Gram-negative and Gram-positive microbiotas in the mouse gut by exploiting their distinctive cell wall components. Cell-selective labeling is achieved by the combined use of metabolic labeling of Gram-negative bacterial lipopolysaccharides with a clickable azidosugar and direct labeling of Gram-positive bacteria with a vancomycin-derivatized fluorescent probe. We demonstrated this strategy by two-color fluorescence imaging of Gram-negative and Gram-positive gut microbiotas in the mouse intestines. This chemical method should be broadly applicable to different gut microbiota research fields and other bacterial communities studied in microbiology.