1
|
Ubaldi F, Frangella C, Volpini V, Fortugno P, Valeriani F, Romano Spica V. Systematic Review and Meta-Analysis of Dietary Interventions and Microbiome in Phenylketonuria. Int J Mol Sci 2023; 24:17428. [PMID: 38139256 PMCID: PMC10744015 DOI: 10.3390/ijms242417428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/25/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Inborn errors of metabolism (IEMs) comprise a diverse group of monogenic disorders caused by enzyme deficiencies that result either in a toxic accumulation of metabolic intermediates or a shortage of essential end-products. Certain IEMs, like phenylketonuria (PKU), necessitate stringent dietary intervention that could lead to microbiome dysbiosis, thereby exacerbating the clinical phenotype. The objective of this systematic review was to examine the impact of PKU therapies on the intestinal microbiota. This research was conducted following the PRISMA Statement, with data from PubMed, Scopus, ScienceDirect, and Web of Science. A total of 18 articles meeting the inclusion criteria were published from 2011 to 2022. Significant reductions in several taxonomic groups in individuals with PKU when compared to the control group were detected in a quantitative analysis conducted across seven studies. The meta-analysis synthesis indicates a contrast in biodiversity between PKU subjects and the control population. Additionally, the meta-regression results, derived from the Bacillota/Bacteroidota ratio data, suggest a potential influence of diet in adult PKU populations (p = 0.004). It is worth noting that the limited number of studies calls for further research and analysis in this area. Our findings indicate the necessity of enhancing understanding of microbiota variability in reaction to treatments among PKU subjects to design tailored therapeutic and nutritional interventions to prevent complications resulting from microbiota disruption.
Collapse
Affiliation(s)
- Francesca Ubaldi
- Department of Movement, Human, and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (F.U.); (C.F.); (V.V.); (V.R.S.)
| | - Claudia Frangella
- Department of Movement, Human, and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (F.U.); (C.F.); (V.V.); (V.R.S.)
| | - Veronica Volpini
- Department of Movement, Human, and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (F.U.); (C.F.); (V.V.); (V.R.S.)
| | - Paola Fortugno
- Department of Human Sciences for the Promotion of Quality of Life, University San Raffaele, Via di Val Cannuta 247, 00166 Rome, Italy;
- Human Functional Genomics Laboratory, IRCCS San Raffaele Roma, Via di Val Cannuta 247, 00166 Rome, Italy
| | - Federica Valeriani
- Department of Movement, Human, and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (F.U.); (C.F.); (V.V.); (V.R.S.)
| | - Vincenzo Romano Spica
- Department of Movement, Human, and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (F.U.); (C.F.); (V.V.); (V.R.S.)
| |
Collapse
|
2
|
Sun T, Du H, Li Z, Xiong J, Liu Y, Li Y, Zhang W, Liang F, He J, Liu X, Xiang H. Decoding the contributions of gut microbiota and cerebral metabolism in acute liver injury mice with and without cognitive dysfunction. CNS Neurosci Ther 2022. [PMID: 36585803 DOI: 10.1111/cns.14069] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/23/2022] [Accepted: 12/02/2022] [Indexed: 01/01/2023] Open
Abstract
AIMS Patients with acute liver injury (ALI) can develop cognitive dysfunction (CD). The study investigated the role of gut microbiota and cerebral metabolism in ALI mice with and without CD. METHODS Male C57BL/6 mice that received thioacetamide were classified into ALI mice with (susceptible) or without (unsusceptible) CD-like phenotypes by hierarchical cluster analysis of behavior. The role of gut microbiota was investigated by 16S ribosomal RNA gene sequencing and feces microbiota transplantation (FMT). 1 H-[13 C] NMR and electrophysiology were used to detect the changes in cerebral neurotransmitter metabolic and synaptic transition in neurons or astrocytes. RESULTS Apromixlay 55% (11/20) of mice developed CD and FMT from the susceptible group transmitted CD to gut microbiota-depleted mice. Alloprevotella was enriched in the susceptible group. GABA production was decreased in the frontal cortex, while hippocampal glutamine was increased in the susceptible group. Altered Escherichia. Shigella and Alloprevotella were correlated with behaviors and cerebral metabolic kinetics and identified as good predictors of ALI-induced CD. The frequencies of both miniature inhibitory and excitatory postsynaptic currents in hippocampal CA1 and prefrontal cortex were decreased in the susceptible group. CONCLUSION Altered transmitter metabolism and synaptic transmission in the hippocampus and prefrontal cortex and gut microbiota disturbance may lead to ALI-induced CD.
Collapse
Affiliation(s)
- Tianning Sun
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongying Du
- Department of Food Science and Engineering, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing, China
| | - Zhen Li
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Xiong
- Hepatobiliary Surgery Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanbo Liu
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yujuan Li
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wencui Zhang
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fangyuan Liang
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, China
| | - Jingang He
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Xiaodong Liu
- Department of Anaesthesia and Intensive Care, Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, China
| | - Hongbing Xiang
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
3
|
Shang Q, Chen G, Zhang P, Zhao W, Chen H, Yu D, Yu F, Liu H, Zhang X, He J, Yu X, Zhang Z, Tan R, Wu Z, Tang J, Liang D, Shen G, Jiang X, Ren H. Myristic acid alleviates hippocampal aging correlated with GABAergic signaling. Front Nutr 2022; 9:907526. [PMID: 36159502 PMCID: PMC9493098 DOI: 10.3389/fnut.2022.907526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
Previous studies have shown that myristic acid (MA), a saturated fatty acid, could promote the proliferation and differentiation of neural stem cells in vitro. However, the effect of MA on hippocampal neurons aging has not been reported in vivo. Here we employed 22-month-old naturally aged C57BL/6 mice to evaluate the effect and mechanism of MA on hippocampal aging. First, we examined a decreased exploration and spatial memory ability in aging mice using the open field test and Morris water maze. Consistently, aging mice showed degenerative hippocampal histomorphology by H&E and Nissl staining. In terms of mechanism, imbalance of GABRB2 and GABRA2 expression in aging mice might be involved in hippocampus aging by mRNA high throughput sequencing (mRNA-seq) and immunohistochemistry (IHC) validation. Then, we revealed that MA alleviated the damage of exploration and spatial memory ability and ameliorated degeneration and aging of hippocampal neurons. Meanwhile, MA downregulated GABRB2 and upregulated GABRA2 expression, indicating MA might alleviate hippocampal aging correlated with GABAergic signaling. In conclusion, our findings revealed MA alleviated hippocampal aging correlated with GABAergic signaling, which might provide insight into the treatment of aging-associated diseases.
Collapse
Affiliation(s)
- Qi Shang
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guifeng Chen
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Peng Zhang
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenhua Zhao
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Honglin Chen
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Die Yu
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Fuyong Yu
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Huiwen Liu
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xuelai Zhang
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiahui He
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiang Yu
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhida Zhang
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Riwei Tan
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zixian Wu
- Guangzhou University of Chinese Medicine, Guangzhou, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingjing Tang
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - De Liang
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Gengyang Shen
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Nanshan Hospital, The First Affiliated Hospital of Guangzhou University of Chinese Medicine (Shenzhen Nanshan Hospital of Chinese Medicine), Guangzhou, China
- Gengyang Shen
| | - Xiaobing Jiang
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Xiaobing Jiang
| | - Hui Ren
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Hui Ren
| |
Collapse
|
4
|
Chen Z, Feng Y, Li S, Hua K, Fu S, Chen F, Chen H, Pan L, Wu C, Jiang G. Altered functional connectivity strength in chronic insomnia associated with gut microbiota composition and sleep efficiency. Front Psychiatry 2022; 13:1050403. [PMID: 36483137 PMCID: PMC9722753 DOI: 10.3389/fpsyt.2022.1050403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 10/31/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND There is limited evidence on the link between gut microbiota (GM) and resting-state brain activity in patients with chronic insomnia (CI). This study aimed to explore the alterations in brain functional connectivity strength (FCS) in CI and the potential associations among altered FCS, GM composition, and neuropsychological performance indicators. MATERIALS AND METHODS Thirty CI patients and 34 age- and gender-matched healthy controls (HCs) were recruited. Each participant underwent resting-state functional magnetic resonance imaging (rs-fMRI) for the evaluation of brain FCS and was administered sleep-, mood-, and cognitive-related questionnaires for the evaluation of neuropsychological performance. Stool samples of CI patients were collected and subjected to 16S rDNA amplicon sequencing to assess the relative abundance (RA) of GM. Redundancy analysis or canonical correspondence analysis (RDA or CCA, respectively) was used to investigate the relationships between GM composition and neuropsychological performance indicators. Spearman correlation was further performed to analyze the associations among alterations in FCS, GM composition, and neuropsychological performance indicators. RESULTS The CI group showed a reduction in FCS in the left superior parietal gyrus (SPG) compared to the HC group. The correlation analysis showed that the FCS in the left SPG was correlated with sleep efficiency and some specific bacterial genera. The results of CCA and RDA showed that 38.21% (RDA) and 24.62% (CCA) of the GM composition variation could be interpreted by neuropsychological performance indicators. Furthermore, we found complex relationships between Alloprevotella, specific members of the family Lachnospiraceae, Faecalicoccus, and the FCS alteration, and neuropsychological performance indicators. CONCLUSION The brain FCS alteration of patients with CI was related to their GM composition and neuropsychological performance indicators, and there was also an association to some extent between the latter two, suggesting a specific interaction pattern among the three aspects: brain FCS alteration, GM composition, and neuropsychological performance indicators.
Collapse
Affiliation(s)
- Ziwei Chen
- Jinan University, Guangzhou, China.,Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ying Feng
- Department of Radiology, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Shumei Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Kelei Hua
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Feng Chen
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Huiyu Chen
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | | | - Caojun Wu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,Jinan University, Guangzhou, China
| |
Collapse
|