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Kang S, Kim W, Nam J, Li K, Kang Y, Bae B, Chun KH, Chung C, Lee J. Non-Targeted Metabolomics Investigation of a Sub-Chronic Variable Stress Model Unveils Sex-Dependent Metabolic Differences Induced by Stress. Int J Mol Sci 2024; 25:2443. [PMID: 38397124 PMCID: PMC10889542 DOI: 10.3390/ijms25042443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/16/2024] [Accepted: 02/18/2024] [Indexed: 02/25/2024] Open
Abstract
Depression is twice as prevalent in women as in men, however, most preclinical studies of depression have used male rodent models. This study aimed to examine how stress affects metabolic profiles depending on sex using a rodent depression model: sub-chronic variable stress (SCVS). The SCVS model of male and female mice was established in discovery and validation sets. The stress-induced behavioral phenotypic changes were similar in both sexes, however, the metabolic profiles of female plasma and brain became substantially different after stress, whereas those of males did not. Four stress-differential plasma metabolites-β-hydroxybutyric acid (BHB), L-serine, glycerol, and myo-inositol-could yield biomarker panels with excellent performance to discern the stressed individuals only for females. Disturbances in BHB, glucose, 1,5-anhydrosorbitol, lactic acid, and several fatty acids in the plasma of stressed females implied a systemic metabolic shift to β-oxidation in females. The plasma levels of BHB and corticosterone only in stressed females were observed not only in SCVS but also in an acute stress model. These results collectively suggest a sex difference in the metabolic responses by stress, possibly involving the energy metabolism shift to β-oxidation and the HPA axis dysregulation in females.
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Affiliation(s)
- Seulgi Kang
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea; (S.K.); (K.L.); (Y.K.); (B.B.)
| | - Woonhee Kim
- Department of Biological Sciences, Konkuk University, Seoul 05029, Republic of Korea; (W.K.); (J.N.); (C.H.C.)
| | - Jimin Nam
- Department of Biological Sciences, Konkuk University, Seoul 05029, Republic of Korea; (W.K.); (J.N.); (C.H.C.)
| | - Ke Li
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea; (S.K.); (K.L.); (Y.K.); (B.B.)
| | - Yua Kang
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea; (S.K.); (K.L.); (Y.K.); (B.B.)
| | - Boyeon Bae
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea; (S.K.); (K.L.); (Y.K.); (B.B.)
| | - Kwang-Hoon Chun
- Gachon Institute of Pharmaceutical Sciences, College of Pharmacy, Gachon University, Incheon 21936, Republic of Korea;
| | - ChiHye Chung
- Department of Biological Sciences, Konkuk University, Seoul 05029, Republic of Korea; (W.K.); (J.N.); (C.H.C.)
| | - Jeongmi Lee
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea; (S.K.); (K.L.); (Y.K.); (B.B.)
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Huang N, Chen W, Jiang H, Yang J, Zhang Y, Shi H, Wang Y, Yuan P, Qiao J, Wei Y, Zhao Y. Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study. BMC Med 2023; 21:455. [PMID: 37996847 PMCID: PMC10666385 DOI: 10.1186/s12916-023-03134-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Selective fetal growth restriction (sFGR) is an extreme complication that significantly increases the risk of perinatal mortality and long-term adverse neurological outcomes in offspring, affecting approximately 15% of monochorionic diamniotic (MCDA) twin pregnancies. The lack of longitudinal cohort studies hinders the early prediction and intervention of sFGR. METHODS We constructed a prospective longitudinal cohort study of sFGR, and quantified 25 key metabolites in 337 samples from maternal plasma in the first, second, and third trimester and from cord plasma. In particular, our study examined fetal growth and brain injury data from ultrasonography and used the Ages and Stages Questionnaire-third edition subscale (ASQ-3) to evaluate the long-term neurocognitive behavioral development of infants aged 2-3 years. Furthermore, we correlated metabolite levels with ultrasound data, including physical development and brain injury indicators, and ASQ-3 data using Spearman's-based correlation tests. In addition, special combinations of differential metabolites were used to construct predictive models for the occurrence of sFGR and fetal brain injury. RESULTS Our findings revealed various dynamic patterns for these metabolites during pregnancy and a maximum of differential metabolites between sFGR and MCDA in the second trimester (n = 8). The combination of L-phenylalanine, L-leucine, and L-isoleucine in the second trimester, which were closely related to fetal growth indicators, was highly predictive of sFGR occurrence (area under the curve [AUC]: 0.878). The combination of L-serine, L-histidine, and L-arginine in the first trimester and creatinine in the second trimester was correlated with long-term neurocognitive behavioral development and showed the capacity to identify fetal brain injury with high accuracy (AUC: 0.94). CONCLUSIONS The performance of maternal plasma metabolites from the first and second trimester is superior to those from the third trimester and cord plasma in discerning sFGR and fetal brain injury. These metabolites may serve as useful biomarkers for early prediction and promising targets for early intervention in clinical settings.
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Affiliation(s)
- Nana Huang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Wei Chen
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
| | - Hai Jiang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Jing Yang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Youzhen Zhang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Huifeng Shi
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Ying Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Pengbo Yuan
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Jie Qiao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China.
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- Beijing Advanced Innovation Center for Genomics, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
| | - Yuan Wei
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
| | - Yangyu Zhao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
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Urbanski G, Chabrun F, Delattre E, Lacout C, Davidson B, Blanchet O, Chao de la Barca JM, Simard G, Lavigne C, Reynier P. An immuno-lipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögren's syndrome. Front Immunol 2023; 14:1205616. [PMID: 37520535 PMCID: PMC10375713 DOI: 10.3389/fimmu.2023.1205616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/28/2023] [Indexed: 08/01/2023] Open
Abstract
Introduction Assessing labial salivary gland exocrinopathy is a cornerstone in primary Sjögren's syndrome. Currently this relies on the histopathologic diagnosis of focal lymphocytic sialadenitis and computing a focus score by counting lym=phocyte foci. However, those lesions represent advanced stages of primary Sjögren's syndrome, although earlier recognition of primary Sjögren's syndrome and its effective treatment could prevent irreversible damage to labial salivary gland. This study aimed at finding early biomarkers of primary Sjögren's syndrome in labial salivary gland combining metabolomics and machine-learning approaches. Methods We used a standardized targeted metabolomic approach involving high performance liquid chromatography coupled with mass spectrometry among newly diagnosed primary Sjögren's syndrome (n=40) and non- primary Sjögren's syndrome sicca (n=40) participants in a prospective cohort. A metabolic signature predictive of primary Sjögren's syndrome status was explored using linear (logistic regression with elastic-net regularization) and non-linear (random forests) machine learning architectures, after splitting the data set into training, validation, and test sets. Results Among 126 metabolites accurately measured, we identified a discriminant signature composed of six metabolites with robust performances (ROC-AUC = 0.86) for predicting primary Sjögren's syndrome status. This signature included the well-known immune-metabolite kynurenine and five phospholipids (LysoPC C28:0; PCaa C26:0; PCaaC30:2; PCae C30:1, and PCaeC30:2). It was split into two main components: the first including the phospholipids was related to the intensity of lymphocytic infiltrates in salivary glands, while the second represented by kynurenine was independently associated with the presence of anti-SSA antibodies in participant serum. Conclusion Our results reveal an immuno-lipidomic signature in labial salivary gland that accurately distinguishes early primary Sjögren's syndrome from other causes of sicca symptoms.
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Affiliation(s)
- Geoffrey Urbanski
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Orofacial Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Floris Chabrun
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
| | - Estelle Delattre
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
| | - Carole Lacout
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
| | - Brittany Davidson
- Department of Orofacial Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Odile Blanchet
- Centre de Ressources Biologiques, University Hospital, Angers, France
| | - Juan Manuel Chao de la Barca
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
| | - Gilles Simard
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
| | - Christian Lavigne
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
| | - Pascal Reynier
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
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Wang Z, Xiao H, Dong J, Li Y, Wang B, Chen Z, Zeng X, Liu J, Dong Y, Ma L, Xu J, Cheng L, Li C, Liu X, Cui M. Sexual dimorphism in gut microbiota dictates therapeutic efficacy of intravenous immunoglobulin on radiotherapy complications. J Adv Res 2022; 46:123-133. [PMID: 35700918 PMCID: PMC10105085 DOI: 10.1016/j.jare.2022.06.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/16/2022] [Accepted: 06/07/2022] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION With the mounting number of cancer survivors, the complications following cancer treatment become novel conundrums and starve for countermeasures. Intravenous immunoglobulin (IVIg) is a purified preparation for immune-deficient and autoimmune conditions. OBJECTIVES Here, we investigated whether IVIg could be employed to fight against radiation injuries and explored the underlying mechanism. METHODS Hematopoietic or gastrointestinal (GI) tract toxicity was induced by total body or abdominal local irradiation. High-throughput sequencing was performed to analyze the gut microbiota configurations and gene expression profile of small intestine. The untargeted metabolomics of gut microbiome was assessed by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) analyses. Hydrodynamic-based gene delivery was used to knockdown the target genes in vivo. RESULTS Intravenous injection of IVIg protected against radiation-induced hematopoietic and GI tract toxicity in female mice but not in males. IVIg structured sex-characteristic gut microbiota configurations in abdominal irradiated mice. The irradiation enriched gut Lachnospiraceae in female mice but reduced those in males. IVIg injection combined with oral gavage of Lachnospiraceae or its metabolite hypoxanthine, alleviated radiation toxicity in male mice however, Lachnospiraceae or hypoxanthine alone failed to ameliorate the injuries. Abdominal local irradiation drove sex-distinct gene expression signatures in small intestine. Mechanistic investigation showed that replenishment of Lachnospiraceae or hypoxanthine offset abdominal radiation-reduced PLD1 expression in male mice. In females, irradiation elevated PLD1 expression. Deletion of PLD1 in GI tract of female mice erased the radioprotective effects of IVIg. CONCLUSION IVIg battles against radiation injuries in a sex-specific, gut microbiome-dependent way through Lachnospiraceae/hypoxanthine/PLD1 axis. Our findings provide a sex-precise therapeutic avenue to improve the prognosis of cancer patients with radiotherapy in pre-clinical settings.
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Affiliation(s)
- Zongkui Wang
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences & Peking Union Medical College, Chengdu, 610052, China
| | - Huiwen Xiao
- Department of Microbiology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Jiali Dong
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Yuan Li
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Bin Wang
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Zhiyuan Chen
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Xiaozhou Zeng
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Jia Liu
- Department of Microbiology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Yanxi Dong
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Li Ma
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences & Peking Union Medical College, Chengdu, 610052, China
| | - Jun Xu
- Shanghai RAAS Blood products Co., Ltd., Shanghai, 201401, China
| | - Lu Cheng
- Shanghai RAAS Blood products Co., Ltd., Shanghai, 201401, China
| | - Changqing Li
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences & Peking Union Medical College, Chengdu, 610052, China.
| | - Xingzhong Liu
- Department of Microbiology, College of Life Sciences, Nankai University, Tianjin, 300071, China.
| | - Ming Cui
- Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China.
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5
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Chiral secondary amino acids, their importance, and methods of analysis. Amino Acids 2022; 54:687-719. [PMID: 35192062 DOI: 10.1007/s00726-022-03136-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 02/04/2022] [Indexed: 11/01/2022]
Abstract
Naturally occurring secondary amino acids, with proline as the main representative, contain an alpha-imino group in a cycle that is typically four-, five-, and six-membered. The unique ring structure exhibits exceptional properties-conformational rigidity, chemical stability, and specific roles in protein structure and folding. Many proline analogues have been used as valuable compounds for the study of metabolism of both prokaryotic and eukaryotic cells and for the synthesis of compounds with desired biological, pharmaceutical, or industrial properties. The D-forms of secondary amino acids play different roles in living organisms than the L-forms. They have different metabolic pathways, biological, physiological, and pharmacological effects, they can be indicators of changes and also serve as biomarkers of diseases. In the scientific literature, the number of articles examining D-amino acids in biological samples is increasing. The review summarises information on the occurrence and importance of D- and L-secondary amino acids-azetidic acid, proline, hydroxyprolines, pipecolic, nipecotic, hydroxypipecolic acids and related peptides containing these D-AAs, as well as the main analytical methods (mostly chromatographic) used for their enantiomeric determination in different matrices (biological samples, plants, food, water, and soil).
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6
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Lee JW, Profant M, Wang C. Metabolic Sex Dimorphism of the Brain at the Gene, Cell, and Tissue Level. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 208:212-220. [PMID: 35017210 DOI: 10.4049/jimmunol.2100853] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 11/09/2021] [Indexed: 12/21/2022]
Abstract
The palpable observation in the sex bias of disease prevalence in the CNS has fascinated scientists for several generations. Brain sex dimorphism has been visualized by imaging and analytical tools at the tissue, cellular, and molecular levels. Recent work highlighted the specificity of such sex bias in the brain and its subregions, offering a unique lens through which disease pathogenesis can be investigated. The brain is the largest consumer of energy in the body and provides a unique metabolic environment for diverse lineages of cells. Immune cells are increasingly recognized as an integral part of brain physiology, and their function depends on metabolic homeostasis. This review focuses on metabolic sex dimorphism in brain tissue, resident, and infiltrating immune cells. In this context, we highlight the relevance of recent advances in metabolomics and RNA sequencing technologies at the single cell resolution and the development of novel computational approaches.
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Affiliation(s)
- Jun Won Lee
- Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada; and
| | - Martin Profant
- Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada; and.,Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Chao Wang
- Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada; and .,Department of Immunology, University of Toronto, Toronto, Ontario, Canada
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Chabrun F, Dieu X, May-Panloup P, Chupin S, Bourreau J, Henrion D, Letournel F, Procaccio V, Bonneau D, Lenaers G, Mirebeau-Prunier D, Chao de la Barca JM, Reynier P. Metabolomic Sexual Dimorphism of the Mouse Brain is Predominantly Abolished by Gonadectomy with a Higher Impact on Females. J Proteome Res 2021; 20:2772-2779. [PMID: 33851846 DOI: 10.1021/acs.jproteome.1c00045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The importance of sexual dimorphism of the mouse brain metabolome was recently highlighted, in addition to a high regional specificity found between the frontal cortex, the cerebellum, and the brain stem. To address the origin of this dimorphism, we performed gonadectomy on both sexes, followed by a metabolomic study targeting 188 metabolites in the three brain regions. While sham controls, which underwent the same surgical procedure without gonadectomy, reproduced the regional sexual dimorphism of the metabolome previously identified, no sex difference was identifiable after gonadectomy, through both univariate and multivariate analyses. These experiments also made it possible to identify which sex was responsible for the dimorphism for 35 metabolites. The female sex contributed to the difference for more than 80% of them. Our results show that gonads are the main contributors to the brain sexual dimorphism previously observed, especially in females.
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Affiliation(s)
- Floris Chabrun
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Xavier Dieu
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Pascale May-Panloup
- Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France.,Département de Biologie de la Reproduction, Centre Hospitalier Universitaire, 49933 Angers, France
| | - Stéphanie Chupin
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France
| | - Jennifer Bourreau
- Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Daniel Henrion
- Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Franck Letournel
- Laboratoire de Neurobiologie et Neuropathologie, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MINT, Centre National de la Recherche Scientifique (CNRS) 6021, Institut National de la Santé et de la Recherche Médicale (INSERM) U1066, Université d'Angers, 49933 Angers, France
| | - Vincent Procaccio
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Dominique Bonneau
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Guy Lenaers
- Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Delphine Mirebeau-Prunier
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Juan Manuel Chao de la Barca
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
| | - Pascal Reynier
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, 49933 Angers, France.,Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, 49933 Angers, France
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8
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Dienel GA. Stop the rot. Enzyme inactivation at brain harvest prevents artifacts: A guide for preservation of the in vivo concentrations of brain constituents. J Neurochem 2021; 158:1007-1031. [PMID: 33636013 DOI: 10.1111/jnc.15293] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/30/2020] [Accepted: 01/05/2021] [Indexed: 12/25/2022]
Abstract
Post-mortem metabolism is widely recognized to cause rapid and prolonged changes in the concentrations of multiple classes of compounds in brain, that is, they are labile. Post-mortem changes from levels in living brain include components of pathways of metabolism of glucose and energy compounds, amino acids, lipids, signaling molecules, neuropeptides, phosphoproteins, and proteins. Methods that stop enzyme activity at brain harvest were developed almost 50 years ago and have been extensively used in studies of brain functions and diseases. Unfortunately, these methods are not commonly used to harvest brain tissue for mass spectrometry-based metabolomic studies or for imaging mass spectrometry studies (IMS, also called mass spectrometry imaging, MSI, or matrix-assisted laser desorption/ionization-MSI, MALDI-MSI). Instead these studies commonly kill animals, decapitate, dissect out brain and regions of interest if needed, then 'snap' freeze the tissue to stop enzymatic activity after harvest, with post-mortem intervals typically ranging from ~0.5 to 3 min. To increase awareness of the importance of stopping metabolism at harvest and preventing the unnecessary complications of not doing so, this commentary provides examples of labile metabolites and the magnitudes of their post-mortem changes in concentrations during brain harvest. Brain harvest methods that stop metabolism at harvest eliminate post-mortem enzymatic activities and can improve characterization of normal and diseased brain. In addition, metabolomic studies would be improved by reporting absolute units of concentration along with normalized peak areas or fold changes. Then reported values can be evaluated and compared with the extensive neurochemical literature to help prevent reporting of artifactual data.
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Affiliation(s)
- Gerald A Dienel
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Department of Cell Biology and Physiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
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Xie Z, Ferreira CR, Virequ AA, Cooks RG. Multiple reaction monitoring profiling (MRM profiling): Small molecule exploratory analysis guided by chemical functionality. Chem Phys Lipids 2021; 235:105048. [PMID: 33561466 DOI: 10.1016/j.chemphyslip.2021.105048] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 10/17/2020] [Accepted: 01/04/2021] [Indexed: 02/06/2023]
Abstract
Small molecules, including metabolites and lipids, provide information on metabolic pathways and active biological processes in living organisms. They are often diagnostic of disease. Current exploratory methods for metabolomics and lipidomics mostly rely on separation using liquid or gas chromatography (LC or GC) coupled with mass spectrometers capable of acquiring high resolution data to generate an enormous data, but at the cost of lengthy processing and data acquisition. Even though many molecules can be identified and quantified by these methods, the laborious protocols for purification, identification, and validation limit the accessible sample chemical information. To improve the speed and efficiency of exploratory metabolomics and lipidomics, multiple reaction monitoring profiling (MRM profiling) has been developed. This strategy involves a three-stage workflow which starts by considering the metabolome as a collection of functional groups. The Discovery Stage interrogates a representative sample mixture for functional groups using the functional group specific precursor ion (Prec) scans and neutral loss (NL) scans. This experiment usually uses a triple quadrupole mass spectrometer without chromatography, i.e. by direct sample infusion. In the second Screening Stage, the main features seen in the Prec and NL scans are organized into lists of precursor ion/product ion transitions (MRMs) which are then used for the fast, specific, and sensitive interrogation of each individual sample. Data analysis by univariate and multivariate statistical methods is used to identify the most informative MRMs and so classify the individual samples. The compounds (biomarkers) which are responsible for the most informative MRMs in particular sample classes can be investigated in an optional third Identification Stage i.e. in a structural identification study. MRM profiling benefits from the much smaller number of functional groups compared to the number of individual metabolites existing in biological samples (where most metabolites are still unknown), resulting in acquisition of a much smaller data set and a shorter analysis time. The application of MRM Profiling to several biological and clinical problems is used to illustrate its features.
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Affiliation(s)
- Zhuoer Xie
- Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA
| | - Christina R Ferreira
- Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA; Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA
| | - Alessandra A Virequ
- Invitra - Assisted Reproductive Technologies LTD, Supera Innovation and Technology Park, Ribeirão Preto, São Paulo, 14056-680, Brazil
| | - R Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.
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Metabolomic and Imaging Mass Spectrometric Assays of Labile Brain Metabolites: Critical Importance of Brain Harvest Procedures. Neurochem Res 2020; 45:2586-2606. [PMID: 32949339 DOI: 10.1007/s11064-020-03124-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/29/2020] [Accepted: 09/03/2020] [Indexed: 12/12/2022]
Abstract
Metabolomic technologies including imaging mass spectrometry (IMS; also called mass spectrometry imaging, MSI, or matrix-assisted laser desorption/ionization-mass spectrometry imaging, MALDI MSI) are important methods to evaluate levels of many compounds in brain with high spatial resolution, characterize metabolic phenotypes of brain disorders, and identify disease biomarkers. ATP is central to brain energetics, and reports of its heterogeneous distribution in brain and regional differences in ATP/ADP ratios reported in IMS studies conflict with earlier studies. These discordant data were, therefore, analyzed and compared with biochemical literature that used rigorous methods to preserve labile metabolites. Unequal, very low regional ATP levels and low ATP/ADP ratios are explained by rapid metabolism during postmortem ischemia. A critical aspect of any analysis of brain components is their stability during and after tissue harvest so measured concentrations closely approximate their physiological levels in vivo. Unfortunately, the requirement for inactivation of brain enzymes by freezing or heating is not widely recognized outside the neurochemistry discipline, and procedures that do not prevent postmortem autolysis, including decapitation, brain removal/dissection, and 'snap freezing' are commonly used. Strong emphasis is placed on use of supplementary approaches to calibrate metabolite abundance in units of concentration in IMS studies and comparison of IMS results with biochemical data obtained by different methods to help identify potential artifacts.
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