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Minhas PS, Jones JR, Latif-Hernandez A, Sugiura Y, Durairaj AS, Wang Q, Mhatre SD, Uenaka T, Crapser J, Conley T, Ennerfelt H, Jung YJ, Liu L, Prasad P, Jenkins BC, Ay YA, Matrongolo M, Goodman R, Newmeyer T, Heard K, Kang A, Wilson EN, Yang T, Ullian EM, Serrano GE, Beach TG, Wernig M, Rabinowitz JD, Suematsu M, Longo FM, McReynolds MR, Gage FH, Andreasson KI. Restoring hippocampal glucose metabolism rescues cognition across Alzheimer's disease pathologies. Science 2024; 385:eabm6131. [PMID: 39172838 DOI: 10.1126/science.abm6131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 06/25/2024] [Indexed: 08/24/2024]
Abstract
Impaired cerebral glucose metabolism is a pathologic feature of Alzheimer's disease (AD), with recent proteomic studies highlighting disrupted glial metabolism in AD. We report that inhibition of indoleamine-2,3-dioxygenase 1 (IDO1), which metabolizes tryptophan to kynurenine (KYN), rescues hippocampal memory function in mouse preclinical models of AD by restoring astrocyte metabolism. Activation of astrocytic IDO1 by amyloid β and tau oligomers increases KYN and suppresses glycolysis in an aryl hydrocarbon receptor-dependent manner. In amyloid and tau models, IDO1 inhibition improves hippocampal glucose metabolism and rescues hippocampal long-term potentiation in a monocarboxylate transporter-dependent manner. In astrocytic and neuronal cocultures from AD subjects, IDO1 inhibition improved astrocytic production of lactate and uptake by neurons. Thus, IDO1 inhibitors presently developed for cancer might be repurposed for treatment of AD.
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Affiliation(s)
- Paras S Minhas
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Jeffrey R Jones
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Amira Latif-Hernandez
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Yuki Sugiura
- Central Institute for Experimental Medicine and Life Science, Keio University, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki 210-0821, Japan
- WPI-Bio2Q Research Center, Keio University, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki 210-0821 Japan
- Center for Cancer Immunotherapy and Immunobiology, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan
| | - Aarooran S Durairaj
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Qian Wang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Siddhita D Mhatre
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Takeshi Uenaka
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Joshua Crapser
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Travis Conley
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Hannah Ennerfelt
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Yoo Jin Jung
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ling Liu
- Lewis Institute for Cancer Research, Princeton University, Princeton, NJ 08544, USA
- Department of Chemistry, Princeton University, Princeton 08544 NJ, USA
| | - Praveena Prasad
- Department of Biochemistry and Molecular Biology, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Brenita C Jenkins
- Department of Biochemistry and Molecular Biology, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Yeonglong Albert Ay
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Matthew Matrongolo
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ryan Goodman
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Traci Newmeyer
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Kelly Heard
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Austin Kang
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Edward N Wilson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Tao Yang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Erik M Ullian
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Geidy E Serrano
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Marius Wernig
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA
| | - Joshua D Rabinowitz
- Lewis Institute for Cancer Research, Princeton University, Princeton, NJ 08544, USA
- Department of Chemistry, Princeton University, Princeton 08544 NJ, USA
| | - Makoto Suematsu
- Central Institute for Experimental Medicine and Life Science, Keio University, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki 210-0821, Japan
- WPI-Bio2Q Research Center, Keio University, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki 210-0821 Japan
| | - Frank M Longo
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Melanie R McReynolds
- Lewis Institute for Cancer Research, Princeton University, Princeton, NJ 08544, USA
- Department of Chemistry, Princeton University, Princeton 08544 NJ, USA
- Department of Biochemistry and Molecular Biology, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Fred H Gage
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Katrin I Andreasson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
- The Phil and Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, CA 94305, USA
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Minhas PS, Jones JR, Latif-Hernandez A, Sugiura Y, Durairaj AS, Uenaka T, Wang Q, Mhatre SD, Liu L, Conley T, Ennerfelt H, Jung YJ, Prasad P, Jenkins BC, Goodman R, Newmeyer T, Heard K, Kang A, Wilson EN, Ullian EM, Serrano GE, Beach TG, Rabinowitz JD, Wernig M, Suematsu M, Longo FM, McReynolds MR, Gage FH, Andreasson KI. Restoring hippocampal glucose metabolism rescues cognition across Alzheimer's disease pathologies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.23.598940. [PMID: 38979192 PMCID: PMC11230169 DOI: 10.1101/2024.06.23.598940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Impaired cerebral glucose metabolism is a pathologic feature of Alzheimer Disease (AD), and recent proteomic studies highlight a disruption of glial carbohydrate metabolism with disease progression. Here, we report that inhibition of indoleamine-2,3-dioxygenase 1 (IDO1), which metabolizes tryptophan to kynurenine (KYN) in the first step of the kynurenine pathway, rescues hippocampal memory function and plasticity in preclinical models of amyloid and tau pathology by restoring astrocytic metabolic support of neurons. Activation of IDO1 in astrocytes by amyloid-beta 42 and tau oligomers, two major pathological effectors in AD, increases KYN and suppresses glycolysis in an AhR-dependent manner. Conversely, pharmacological IDO1 inhibition restores glycolysis and lactate production. In amyloid-producing APP Swe -PS1 ΔE9 and 5XFAD mice and in tau-producing P301S mice, IDO1 inhibition restores spatial memory and improves hippocampal glucose metabolism by metabolomic and MALDI-MS analyses. IDO1 blockade also rescues hippocampal long-term potentiation (LTP) in a monocarboxylate transporter (MCT)-dependent manner, suggesting that IDO1 activity disrupts astrocytic metabolic support of neurons. Indeed, in vitro mass-labeling of human astrocytes demonstrates that IDO1 regulates astrocyte generation of lactate that is then taken up by human neurons. In co-cultures of astrocytes and neurons derived from AD subjects, deficient astrocyte lactate transfer to neurons was corrected by IDO1 inhibition, resulting in improved neuronal glucose metabolism. Thus, IDO1 activity disrupts astrocytic metabolic support of neurons across both amyloid and tau pathologies and in a model of AD iPSC-derived neurons. These findings also suggest that IDO1 inhibitors developed for adjunctive therapy in cancer could be repurposed for treatment of amyloid- and tau-mediated neurodegenerative diseases.
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Wei Y, Sun Y, Jia S, Yan P, Xiong C, Qi M, Wang C, Du Z, Jiang H. Identification of endogenous carbonyl steroids in human serum by chemical derivatization, hydrogen/deuterium exchange mass spectrometry and the quantitative structure-retention relationship. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1226:123776. [PMID: 37311272 DOI: 10.1016/j.jchromb.2023.123776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/09/2023] [Accepted: 05/30/2023] [Indexed: 06/15/2023]
Abstract
Steroids are tetracyclic aliphatic compounds, and most of them contain carbonyl groups. The disordered homeostasis of steroids is closely related to the occurrence and progression of various diseases. Due to high structural similarity, low concentrations in vivo, poor ionization efficiency, and interference from endogenous substances, it is very challenging to comprehensively and unambiguously identify endogenous steroids in biological matrix. Herein, an integrated strategy was developed for the characterization of endogenous steroids in serum based on chemical derivatization, ultra-performance liquid chromatography quadrupole Exactive mass spectrometry (UPLC-Q-Exactive-MS/MS), hydrogen/deuterium (H/D) exchange, and a quantitative structure-retention relationship (QSRR) model. To enhance the mass spectrometry (MS) response of carbonyl steroids, the ketonic carbonyl group was derivatized by Girard T (GT). Firstly, the fragmentation rules of derivatized carbonyl steroid standards by GT were summarized. Then, carbonyl steroids in serum were derivatized by GT and identified based on the fragmentation rules or by comparing retention time and MS/MS spectra with those of standards. H/D exchange MS was utilized to distinguish derivatized steroid isomers for the first time. Finally, a QSRR model was constructed to predict the retention time of the unknown steroid derivatives. With this strategy, 93 carbonyl steroids were identified from human serum, and 30 of them were determined to be dicarbonyl steroids by the charge number of characteristic ions and the number of exchangeable hrdrogen or comparing with standards. The QSRR model built by the machine learning algorithms has an excellent regression correlation, thus the accurate structures of 14 carbonyl steroids were determined, among which three steroids were reported for the first time in human serum. This study provides a new analytical method for the comprehensive and reliable identification of carbonyl steroids in biological matrix.
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Affiliation(s)
- Yinyu Wei
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi Sun
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shuailong Jia
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China
| | - Pan Yan
- Department of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha 410028, China
| | - Chaomei Xiong
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Meiling Qi
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chenxi Wang
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhifeng Du
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Hongliang Jiang
- Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China.
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Ohta A, Hobo W, Ogawa S, Sugiura Y, Nishikawa T, Nishimoto K, Nishimoto-Kusunose S, Higashi T. A method for determination of aldosterone concentrations of six adrenal venous serum samples during a single LC/ESI-MS/MS run using a sextet of Girard reagents. J Pharm Biomed Anal 2022; 207:114423. [PMID: 34670179 DOI: 10.1016/j.jpba.2021.114423] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 10/04/2021] [Accepted: 10/04/2021] [Indexed: 12/31/2022]
Abstract
The accurate quantification of aldosterone (ALD) in adrenal tributary venous serum/plasma collected by a super-selective adrenal venous sampling (ssAVS) technique has become a definitive procedure to identify the forms (laterality) of primary aldosteronism (PA) and the location of the affected segment(s), and to subsequently make the treatment decision. In this study, a stable isotope-dilution LC/ESI-MS/MS-based method was developed and validated for the determination of the ALD concentrations of the six ssAVS serum samples during a single run. A sextet of Girard reagents was used to convert ALD to the derivatives having different masses for each sample. Based on the validation tests, satisfactory specificity, precision and accuracy were observed and the matrix effect was found to be acceptable. The developed method was used for the analysis of the ssAVS serum samples from eight PA patients. The batch analysis of the six samples permitted the direct comparison of the ALD concentrations between the samples and enhanced to determine the laterality and location of the affected segment(s). The total analysis time after the sample purification was also reduced to 1/3 for the 24 samples by the sample-sextuplex procedure, which was also an advantage of the developed method.
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Affiliation(s)
- Arisa Ohta
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan
| | - Wataru Hobo
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan
| | - Shoujiro Ogawa
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan; Faculty of Pharmacy and Pharmaceutical Sciences, Fukuyama University, 1 Sanzo, Gakuen-cho, Fukuyama-shi, Hiroshima 729-0292, Japan
| | - Yuki Sugiura
- Department of Biochemistry, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Tetsuo Nishikawa
- Endocrinology & Diabetes Center, Yokohama Rosai Hospital, 3211 Kozukue-Cho, Kohoku-Ku, Yokohama 222-0036, Japan
| | - Koshiro Nishimoto
- Department of Uro-Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka-shi, Saitama 350-1298, Japan
| | - Shoichi Nishimoto-Kusunose
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan
| | - Tatsuya Higashi
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan.
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Song Z, Gao H, Xie W, Sun Q, Liang K, Li Y. Quantitative MALDI-MS assay of steroid hormones in plasma based on hydroxylamine derivatization. Anal Biochem 2020; 616:114089. [PMID: 33359147 DOI: 10.1016/j.ab.2020.114089] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 12/26/2022]
Abstract
Measuring the concentrations of steroid hormones in plasma is critical for understanding their role in various vital physiological processes. The detection of underivatized steroid hormones in biofluids through mass spectrometry (MS) is typically hindered by low ionization efficiency. We described a novel matrix-assisted laser desorption/ionization-MS (MALDI-MS) approach based on hydroxylamine derivatization (HA-D) to analyze low-concentration steroid hormones in plasma. The ketonic carbonyl group containing steroid hormones could be derivatized using HA to form oxime derivatives, which considerably enhanced the MS sensitivity for detecting steroid hormones. By using the optimized conditions, estrone (E1), testosterone (T), and progesterone (Prog), could be simultaneously quantified in plasma with a limit of detection (LOD) from 0.019 to 0.031 nM, recoveries from 86% to 108%, and coefficient of variation (CV%) from 4.59% to 11.90%. HA-D/MALDI-MS exhibited higher sensitivity than those using Girard T (GT). To establish potential utility of our method, we characterized fatty liver patient plasmas to demonstrate that the HA-D/MALDI-MS procedure could generate quantitative results comparable to the current clinical liquid chromatography-electrospray ionization tandem MS (LC-ESI MS/MS) method. This approach facilitates the rapid and accurate characterization of plasma hormones, and renders the MALDI-MS approach for steroid hormones more adaptable for clinical research and use.
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Affiliation(s)
- Zhijing Song
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Huanyu Gao
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenchun Xie
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qing Sun
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Kai Liang
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, China.
| | - Yan Li
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, China.
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