Short-chain fatty acids in patients with schizophrenia and ultra-high risk population

Peng, Hongxia; Ouyang, Lijun; Li, David; Li, Zongchang; Liu, Yuan; Fan, Lejia; Liao, Aijun; Li, Jinguang; Wei, Yisen; Yang, Zihao; Ma, Xiaoqian; Chen, Xiaogang; He, Ying

doi:10.3389/fpsyt.2022.977538

Cited by 10 publications

(4 citation statements)

References 93 publications

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“…Butyrate affects the effect of anti-inflammatory and intestinal mucosa repair ( Liang et al, 2021 ). Acetate can serve as an energy substance for surrounding tissues, regulate fat cell differentiation, and synthesize long-chain fatty acids, cholesterol, glutamine, β-hydroxybutyric acid, and other substances ( Peng et al, 2021 ) that are important components of SCFAs.…”

Section: Discussionmentioning

confidence: 99%

Features of gut microbiota and short-chain fatty acids in patients with first-episode depression and their relationship with the clinical symptoms

Wang

Jing

et al. 2023

Front. Psychol.

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ObjectiveTo compare the differences in gut microbiota and short-chain fatty acids (SCFAs; metabolites of gut microbiota) in the serum of patients with first-episode depression and the healthy population and to analyze the relationship between gut microbiota and metabolite SCFAs and the clinical symptoms of major depressive disorder (MDD).MethodsA total of 45 patients with first-episode depression and 22 healthy volunteers were chosen to complete relevant scale evaluations, and feces samples and venous blood samples were collected. The 16S RNA method was used to analyze the intestinal microflora and the characteristics of serum SCFAs detection by ELISA kit, as well as the intestinal flora, SCFAs content and their correlation with MDD clinical indicators.ResultsThe abundance of Akkermansia, Megamonas, Prevotellaceae NK3B31 group, and butyrate-producing bacteria, Lachnospira, Subdoligranulum, Blautia, and Dialister, and acetate-producing bacteria, Streptococcus, in the gut microbiota of the MDD group was lower than that in the control (C) group. The abundance of Parasutterella in the MDD group was higher than that in the C group. Dialister negatively correlated with all measured clinical symptoms (r < 0, P < 0.05). The serum SCFA content in the MDD group was higher than that in the C group, and the content positively correlated with the Hamilton anxiety scale scores (r = 0.584, P < 0.05).ConclusionThe results demonstrated that the MDD group differed from the C group in terms of gut microbiota and SCFAs in the serum and that the change in certain intestinal bacteria might participate in the pathogenic mechanism of MDD.

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Section: Discussionmentioning

confidence: 99%

Features of gut microbiota and short-chain fatty acids in patients with first-episode depression and their relationship with the clinical symptoms

Wang

Jing

et al. 2023

Front. Psychol.

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“…Another recent clinical study showed that alterations in concentrations of SCFAs can be linked to the pathogenesis and the cognitive impairment of schizophrenia. Additionally, a significantly lower concentration of valeric acid was reported in schizophrenia patients compared to healthy controls [83]. According to the "membrane hypothesis of schizophrenia", the abnormal production of SCFAs occurring by the altered composition of the gut microbiome may result in the activation of microglia and then disrupt cell membrane metabolism [84].…”

Section: Microbiome-gut-brain Axis Influence On Brain Functions Media...mentioning

confidence: 99%

Epigenetic Aberrations in Major Psychiatric Diseases Related to Diet and Gut Microbiome Alterations

Nohesara

Abdolmaleky

Thiagalingam

2023

Genes

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Nutrition and metabolism modify epigenetic signatures like histone acetylation and DNA methylation. Histone acetylation and DNA methylation in the central nervous system (CNS) can be altered by bioactive nutrients and gut microbiome via the gut–brain axis, which in turn modulate neuronal activity and behavior. Notably, the gut microbiome, with more than 1000 bacterial species, collectively contains almost three million functional genes whose products interact with millions of human epigenetic marks and 30,000 genes in a dynamic manner. However, genetic makeup shapes gut microbiome composition, food/nutrient metabolism, and epigenetic landscape, as well. Here, we first discuss the effect of changes in the microbial structure and composition in shaping specific epigenetic alterations in the brain and their role in the onset and progression of major mental disorders. Afterward, potential interactions among maternal diet/environmental factors, nutrition, and gastrointestinal microbiome, and their roles in accelerating or delaying the onset of severe mental illnesses via epigenetic changes will be discussed. We also provide an overview of the association between the gut microbiome, oxidative stress, and inflammation through epigenetic mechanisms. Finally, we present some underlying mechanisms involved in mediating the influence of the gut microbiome and probiotics on mental health via epigenetic modifications.

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“…10 As classical ERP components, P3b latency and mismatch negativity amplitude are sensitive to PD dementia, and P3a amplitude is a potential marker of PD disease progression. 11 On the other hand, DFC between brain regions reflects spatial and temporal dynamics of fMRI data using a sliding window approach. 12 Abnormal time variability of the intrinsic brain functional network has also been found in PD.…”

mentioning

confidence: 99%

“…ERPs gained from the scalp‐recorded EEG are calculated by averaging EEG activity that is time‐locked to the occurrence of an event 10 . As classical ERP components, P3b latency and mismatch negativity amplitude are sensitive to PD dementia, and P3a amplitude is a potential marker of PD disease progression 11 . On the other hand, DFC between brain regions reflects spatial and temporal dynamics of fMRI data using a sliding window approach 12 .…”

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confidence: 99%

MRI Assessment of Intrinsic Neural Timescale and Gray Matter Volume in Parkinson's Disease

Wei

Zhang

Peng

et al. 2023

Magnetic Resonance Imaging

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BackgroundNumerous studies have indicated altered temporal features of the brain function in Parkinson's disease (PD), and the autocorrelation magnitude of intrinsic neural signals, called intrinsic neural timescales, were often applied to estimate how long neural information stored in local brain areas. However, it is unclear whether PD patients at different disease stages exhibit abnormal timescales accompanied with abnormal gray matter volume (GMV).PurposeTo assess the intrinsic timescale and GMV in PD.Study TypeProspective.Population74 idiopathic PD patients (44 early stage (PD‐ES) and 30 late stage (PD‐LS), as determined by the Hoehn and Yahr (HY) severity classification scale), and 73 healthy controls (HC).Field Strength/Sequence3.0 T MRI scanner; magnetization prepared rapid acquisition gradient echo and echo planar imaging sequences.AssessmentThe timescales were estimated by using the autocorrelation magnitude of neural signals. Voxel‐based morphometry was performed to calculate GMV in the whole brain. Severity of motor symptoms and cognitive impairments were assessed using the unified PD rating scale, the HY scale, the Montreal cognitive assessment, and the mini‐mental state examination.Statistical TestAnalysis of variance; two‐sample t‐test; Spearman rank correlation analysis; Mann–Whitney U test; Kruskal‐Wallis' H test. A P value <0.05 was considered statistically significant.ResultsThe PD group had significantly abnormal intrinsic timescales in the sensorimotor, visual, and cognitive‐related areas, which correlated with the symptom severity (ρ = −0.265, P = 0.022) and GMV (ρ = 0.254, P = 0.029). Compared to the HC group, the PD‐ES group had significantly longer timescales in anterior cortical regions, whereas the PD‐LS group had significantly shorter timescales in posterior cortical regions.ConclusionThis study suggested that PD patients have abnormal timescales in multisystem and distinct patterns of timescales and GMV in cerebral cortex at different disease stages. This may provide new insights for the neural substrate of PD.Level of Evidence2Technical Efficacy Stage1

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Short-chain fatty acids in patients with schizophrenia and ultra-high risk population

Cited by 10 publications

References 93 publications

Features of gut microbiota and short-chain fatty acids in patients with first-episode depression and their relationship with the clinical symptoms

Features of gut microbiota and short-chain fatty acids in patients with first-episode depression and their relationship with the clinical symptoms

Epigenetic Aberrations in Major Psychiatric Diseases Related to Diet and Gut Microbiome Alterations

MRI Assessment of Intrinsic Neural Timescale and Gray Matter Volume in Parkinson's Disease

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