1
|
Yao Y, Jin C, Liao Y, Huang X, Wei Z, Zhang Y, Li D, Su H, Han W, Qin D. Schizophrenia-Like Behaviors Arising from Dysregulated Proline Metabolism Are Associated with Altered Neuronal Morphology and Function in Mice with Hippocampal PRODH Deficiency. Aging Dis 2024; 15:1952-1968. [PMID: 37815900 PMCID: PMC11272211 DOI: 10.14336/ad.2023.0902] [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: 06/01/2023] [Accepted: 09/02/2023] [Indexed: 10/12/2023] Open
Abstract
Despite decades of research being conducted to understand what physiological deficits in the brain are an underlying basis of psychiatric diseases like schizophrenia, it has remained difficult to establish a direct causal relationship between neuronal dysfunction and specific behavioral phenotypes. Moreover, it remains unclear how metabolic processes, including amino acid metabolism, affect neuronal function and consequently modulate animal behaviors. PRODH, which catalyzes the first step of proline degradation, has been reported as a susceptibility gene for schizophrenia. It has consistently been shown that PRODH knockout mice exhibit schizophrenia-like behaviors. However, whether the loss of PRODH directly impacts neuronal function or whether such neuronal deficits are linked to schizophrenia-like behaviors has not yet been examined. Herein, we first ascertained that dysregulated proline metabolism in humans is associated with schizophrenia. We then found that PRODH was highly expressed in the oreins layer of the mouse dorsal hippocampus. By using AAV-mediated shRNA, we depleted PRODH expression in the mouse dorsal hippocampus and subsequently observed hyperactivity and impairments in the social behaviors, learning, and memory of these mice. Furthermore, the loss of PRODH led to altered neuronal morphology and function both in vivo and in vitro. Our study demonstrates that schizophrenia-like behaviors may arise from dysregulated proline metabolism due to the loss of PRODH and are associated with altered neuronal morphology and function in mice.
Collapse
Affiliation(s)
- Yuxiao Yao
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510799, China.
| | - Chenchen Jin
- Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
| | - Yilie Liao
- Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore.
| | - Xiang Huang
- Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
| | - Ziying Wei
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510799, China.
| | - Yahong Zhang
- Guangzhou Laboratory, Guangzhou, Guangdong, China.
| | - Dongwei Li
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510799, China.
| | - Huanxing Su
- Institute of Chinese Medical Sciences, University of Macau, Macau, China.
| | - Weiping Han
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore.
| | - Dajiang Qin
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510799, China.
- Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences; Hong Kong SAR, China.
| |
Collapse
|
2
|
Protti M, Cirrincione M, Palano S, Poeta E, Babini G, Magnifico MC, Barile SN, Balboni N, Massenzio F, Mahdavijalal M, Giorgi FM, Mandrioli R, Lasorsa FM, Monti B, Mercolini L. Targeted quantitative metabolic profiling of brain-derived cell cultures by semi-automated MEPS and LC-MS/MS. J Pharm Biomed Anal 2023; 236:115757. [PMID: 37801818 DOI: 10.1016/j.jpba.2023.115757] [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: 07/05/2023] [Revised: 09/11/2023] [Accepted: 09/26/2023] [Indexed: 10/08/2023]
Abstract
The accurate characterisation of metabolic profiles is an important prerequisite to determine the rate and the efficiency of the metabolic pathways taking place in the cells. Changes in the balance of metabolites involved in vital processes such as glycolysis, tricarboxylic acid (TCA) cycle, oxidative phosphorylation (OXPHOS), as well as in the biochemical pathways related to amino acids, lipids, nucleotides, and their precursors reflect the physiological condition of the cells and may contribute to the development of various human diseases. The feasible and reliable measurement of a wide array of metabolites and biomarkers possesses great potential to elucidate physiological and pathological mechanisms, aid preclinical drug development and highlight potential therapeutic targets. An effective, straightforward, sensitive, and selective liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was developed for the simultaneous quali-quantitative analysis of 41 compounds in both cell pellet and cell growth medium obtained from brain-derived cell cultures. Sample pretreatment miniaturisation was achieved thanks to the development and optimisation of an original extraction/purification approach based on digitally programmed microextraction by packed sorbent (eVol®-MEPS). MEPS allows satisfactory and reproducible clean-up and preconcentration of both low-volume homogenate cell pellet lysate and cell growth medium with advantages including, but not limited to, minimal sample handling and method sustainability in terms of sample, solvents, and energy consumption. The MEPS-LC-MS/MS method showed good sensitivity, selectivity, linearity, and precision. As a proof of concept, the developed method was successfully applied to the analysis of both cell pellet and cell growth medium obtained from a line of mouse immortalised oligodendrocyte precursor cells (OPCs; Oli-neu cell line), leading to the unambiguous determination of all the considered target analytes. This method is thus expected to be suitable for targeted, quantitative metabolic profiling in most brain cell models, thus allowing accurate investigations on the biochemical pathways that can be altered in central nervous system (CNS) neuropathologies, including e.g., mitochondrial respiration and glycolysis, or use of specific nutrients for growth and proliferation, or lipid, amino acid and nucleotide metabolism.
Collapse
Affiliation(s)
- Michele Protti
- Research group of Pharmaco-Toxicological Analysis (PTA Lab), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Marco Cirrincione
- Research group of Pharmaco-Toxicological Analysis (PTA Lab), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Sarah Palano
- Research group of Pharmaco-Toxicological Analysis (PTA Lab), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Eleonora Poeta
- Cellular Neurobiology Lab, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Giorgia Babini
- Cellular Neurobiology Lab, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Maria Chiara Magnifico
- Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, Via E. Orabona 4, 70125 Bari, Italy
| | - Simona Nicole Barile
- Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, Via E. Orabona 4, 70125 Bari, Italy
| | - Nicola Balboni
- Cellular Neurobiology Lab, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Francesca Massenzio
- Cellular Neurobiology Lab, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Mohammadreza Mahdavijalal
- Research group of Pharmaco-Toxicological Analysis (PTA Lab), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Federico M Giorgi
- Computational Genomics Lab, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum - University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Roberto Mandrioli
- Department for Life Quality Studies, Alma Mater Studiorum - University of Bologna, Corso d'Augusto 237, 47921 Rimini, Italy
| | - Francesco M Lasorsa
- Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, Via E. Orabona 4, 70125 Bari, Italy; National Research Council (CNR) Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IBIOM), Via Giovanni Amendola 122, 70126 Bari, Italy
| | - Barbara Monti
- Cellular Neurobiology Lab, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Laura Mercolini
- Research group of Pharmaco-Toxicological Analysis (PTA Lab), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy.
| |
Collapse
|
3
|
Recent Advances of Ambient Mass Spectrometry Imaging and Its Applications in Lipid and Metabolite Analysis. Metabolites 2021; 11:metabo11110780. [PMID: 34822438 PMCID: PMC8625079 DOI: 10.3390/metabo11110780] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 11/08/2021] [Accepted: 11/11/2021] [Indexed: 01/02/2023] Open
Abstract
Ambient mass spectrometry imaging (AMSI) has attracted much attention in recent years. As a kind of unlabeled molecular imaging technique, AMSI can enable in situ visualization of a large number of compounds in biological tissue sections in ambient conditions. In this review, the developments of various AMSI techniques are discussed according to one-step and two-step ionization strategies. In addition, recent applications of AMSI for lipid and metabolite analysis (from 2016 to 2021) in disease diagnosis, animal model research, plant science, drug metabolism and toxicology research, etc., are summarized. Finally, further perspectives of AMSI in spatial resolution, sensitivity, quantitative ability, convenience and software development are proposed.
Collapse
|
4
|
Namavar Y, Duineveld DJ, Both GIA, Fiksinski AM, Vorstman JAS, Verhoeven-Duif NM, Zinkstok JR. Psychiatric phenotypes associated with hyperprolinemia: A systematic review. Am J Med Genet B Neuropsychiatr Genet 2021; 186:289-317. [PMID: 34302426 DOI: 10.1002/ajmg.b.32869] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/26/2021] [Accepted: 06/30/2021] [Indexed: 12/29/2022]
Abstract
Hyperprolinemia Type I and II are genetic metabolic disorders caused by disrupted proline degradation. It has been suggested that hyperprolinemia is associated with increased risk of developmental and mental disorders but detailed information on the psychiatric phenotype in hyperprolinemic patients is limited. Following PRISMA guidelines, we carried out a systematic review to clarify psychiatric phenotypes in patients with hyperprolinemia. We screened 1753 studies and included 35 for analysis, including 20 case reports and 15 case-control and cohort studies. From these studies, a common psychiatric phenotype is observed with a high prevalence of developmental delay, intellectual disability, autism spectrum disorders, and psychosis spectrum disorders. In most cases, a genetic cause of hyperprolinemia was known, these included mutations in the PRODH and ALDH4A1 genes and deletions of chromosome 22q11.2. No evidence for a biochemical phenotype-clinical phenotype correlation was found; that is, no association between higher proline levels and specific psychiatric phenotypes was observed. This suggests that genomic and environmental factors are likely to contribute to clinical outcomes. More studies are needed to clarify whether hyperprolinemia is a primary causal factor underlying the increased risk of developing psychiatric disorders seen in patients with hyperprolinemia, or whether hyperprolinemia and psychiatric disorders are both consequences of a shared underlying mechanism.
Collapse
Affiliation(s)
- Yasmin Namavar
- Department of Psychiatry and Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Denise Joanne Duineveld
- Department of Psychiatry and Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Ania Maria Fiksinski
- Department of Psychiatry and Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,The Dalglish Family 22q Clinic for 22q11.2 Deletion Syndrome, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Jacob Abraham Schrey Vorstman
- Program in Genetics and Genome Biology, Research Institute, Toronto, Ontario, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Nanda Margriet Verhoeven-Duif
- Section of Metabolic Diagnostics, Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | |
Collapse
|
5
|
Sui W, Gan Q, Liu F, Ou M, Wang B, Liao S, Lai L, Chen H, Yang M, Dai Y. Dynamic Metabolomics Study of the Bile Acid Pathway During Perioperative Primary Hepatic Carcinoma Following Liver Transplantation. Ann Transplant 2020; 25:e921844. [PMID: 32572018 PMCID: PMC7333510 DOI: 10.12659/aot.921844] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Background There are many situations of abnormal metabolism influencing liver graft function. This study aims to provide data for the development of liver function recovery after liver transplantation by dynamically analyzing metabolites of bile acids pathway in serum. Material/Methods A comprehensive metabolomics profiling of serum of 9 liver transplantation patients before transplantation, on the 1st, 3rd, and 7th days after liver transplantation, and healthy individuals were performed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Multivariate data and dynamic analysis were used to search for biomarkers between the metabolomics profiles present in perioperative liver transplantation and normal controls. Results Thirty-three differential endogenous metabolites were screened by the threshold of variable importance in the projection (VIP) from an orthogonal partial least square discriminant analysis (OPLS-DA) greater than 1.0, q-value <0.05, and fold change (FC) ≤0.8 or ≥1.2 between the preoperative group and the normal controls in negative mode. The metabolite intensities of taurocholic acid, taurochenodeoxycholic acid, chenodeoxycholic acid glycine conjugate, and glycocholic acid pre-transplantation were significantly higher than those of normal controls. The average metabolite intensities of taurocholic acid and taurochenodesoxycholic acid on the first day after liver transplantation were lower than those observed pre-transplantation. The average metabolite intensities on day 3 after liver transplantation showed a sudden increase and then decreased after 7 postoperative days. The average metabolite intensities of glycocholic acid and chenodeoxycholic acid glycine conjugate showed an increasing trend on the 1st, 3rd, and 7th days after liver transplantation. Conclusions Use of taurocholic acid and taurochenodeoxycholic acid-related bile secretion, liver regeneration, and de novo bile acid synthesis may help clinical evaluation and provide data for the development of liver function recovery after liver transplantation.
Collapse
Affiliation(s)
- Weiguo Sui
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Qing Gan
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Fuhua Liu
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Minglin Ou
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Bingguo Wang
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Songbai Liao
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Liusheng Lai
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Huaizhou Chen
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Ming Yang
- Nephrology Department of Guilin No. 924 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin Key Laboratory of Kidney Diseases Research, Guilin, Guangxi, China (mainland)
| | - Yong Dai
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China (mainland)
| |
Collapse
|
6
|
Tkachev A, Stepanova V, Zhang L, Khrameeva E, Zubkov D, Giavalisco P, Khaitovich P. Differences in lipidome and metabolome organization of prefrontal cortex among human populations. Sci Rep 2019; 9:18348. [PMID: 31797944 PMCID: PMC6893025 DOI: 10.1038/s41598-019-53762-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 10/31/2019] [Indexed: 12/11/2022] Open
Abstract
Human populations, despite their overwhelming similarity, contain some distinct phenotypic, genetic, epigenetic, and gene expression features. In this study, we explore population differences at yet another level of molecular phenotype: the abundance of non-polar and polar low molecular weight compounds, lipids and metabolites in the prefrontal cortical region of the brain. We assessed the abundance of 1,670 lipids and 258 metabolites in 146 Han Chinese, 97 Western European, and 60 African American individuals of varying ages, covering most of the lifespan. The statistical analysis and logistic regression models both demonstrated extensive lipid and metabolic divergence of the Han Chinese individuals from the other two populations. This divergence was age-dependent, peaking in young adults, and involved metabolites and lipids clustering in specific metabolic pathways.
Collapse
Affiliation(s)
- Anna Tkachev
- Skolkovo Institute of Science and Technology, 121205, Moscow, Russia
- Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoy Karetny Per. 19/1, 127051, Moscow, Russia
| | - Vita Stepanova
- Skolkovo Institute of Science and Technology, 121205, Moscow, Russia
- Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoy Karetny Per. 19/1, 127051, Moscow, Russia
| | - Lei Zhang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, 320 Yue Yang Road, 200031, Shanghai, China
| | | | - Dmitry Zubkov
- Skolkovo Institute of Science and Technology, 121205, Moscow, Russia
| | - Patrick Giavalisco
- Max Planck Institute for Biology of Ageing, Joseph-Stelzmann-Straße 9B, 50931, Cologne, Germany.
| | - Philipp Khaitovich
- Skolkovo Institute of Science and Technology, 121205, Moscow, Russia.
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, 320 Yue Yang Road, 200031, Shanghai, China.
- Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103, Leipzig, Germany.
| |
Collapse
|