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Yuan X, Yan F, Gao L, Ma Q, Wang J. Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning. CNS Neurosci Ther 2023; 29:3307-3321. [PMID: 37183545 PMCID: PMC10580347 DOI: 10.1111/cns.14260] [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: 02/15/2023] [Revised: 04/25/2023] [Accepted: 04/29/2023] [Indexed: 05/16/2023] Open
Abstract
AIMS Alzheimer's disease (AD) and type 2 diabetes (T2D) are two of the most common diseases in elderly population and they have a high rate of comorbidity. Study has revealed that T2D is a major risk factor of AD, and thus exploring therapeutic approaches that can target both diseases has drawn much interest in recent years. In this study, we tried to explore drugs that could be potentially used to prevent or treat both AD and T2D via a drug repositioning approach. METHODS We first searched the known drugs that may be effective to T2D treatment based on the network distance between the T2D-associated genes and drugs deposited in the DrugBank database. Then, via molecular docking, we further screened these drugs by examining their interaction with islet amyloid polypeptide (IAPP) and Aβ42 peptide, the key components involved in the pathogenesis of T2D or AD. Finally, the binding between the selected drug candidates and the target proteins was verified by molecular dynamics (MD) simulation; and the potential function of the drug candidates and the corresponding targets were analyzed. RESULTS From multiple resources, 734 T2D-associated genes were collected, and a list of 1109 drug candidates for T2D was obtained. We found that hypericin had the lowest binding energy and the most stable interaction with either IAPP or Aβ42 peptide. In addition, we also found that the target genes regulated by hypericin were differentially expressed in the tissues related to the two diseases. CONCLUSION Our results show that hypericin may be able to bind with IAPP and Aβ42 stably and prevent their accumulation, and thus could be a promising drug candidate for treating the comorbidity of AD and T2D.
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Affiliation(s)
- Xin Yuan
- School of Biomedical EngineeringTianjin Medical UniversityTianjinChina
| | - Fei Yan
- School of Biomedical EngineeringTianjin Medical UniversityTianjinChina
| | - Li‐Hui Gao
- School of Biomedical EngineeringTianjin Medical UniversityTianjinChina
| | - Qian‐Hui Ma
- School of Biomedical EngineeringTianjin Medical UniversityTianjinChina
| | - Ju Wang
- School of Biomedical EngineeringTianjin Medical UniversityTianjinChina
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Izuo N, Watanabe N, Noda Y, Saito T, Saido TC, Yokote K, Hotta H, Shimizu T. Insulin resistance induces earlier initiation of cognitive dysfunction mediated by cholinergic deregulation in a mouse model of Alzheimer's disease. Aging Cell 2023; 22:e13994. [PMID: 37822109 PMCID: PMC10652326 DOI: 10.1111/acel.13994] [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: 06/06/2023] [Revised: 08/29/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
Although insulin resistance increases the risk of Alzheimer's disease (AD), the mechanisms remain unclear, partly because no animal model exhibits the insulin-resistant phenotype without persistent hyperglycemia. Here we established an AD model with whole-body insulin resistance without persistent hyperglycemia (APP/IR-dKI mice) by crossbreeding constitutive knock-in mice with P1195L-mutated insulin receptor (IR-KI mice) and those with mutated amyloid precursor protein (AppNL-G-F mice: APP-KI mice). APP/IR-dKI mice exhibited cognitive impairment at an earlier age than APP-KI mice. Since cholinergic dysfunction is a major characteristic of AD, pharmacological interventions on the cholinergic system were performed to investigate the mechanism. Antagonism to a nicotinic acetylcholine receptor α7 (nAChRα7) suppressed cognitive function and cortical blood flow (CBF) response to cholinergic-regulated peripheral stimulation in APP-KI mice but not APP/IR-dKI mice. Cortical expression of Chrna7, encoding nAChRα7, was downregulated in APP/IR-dKI mice compared with APP-KI. Amyloid β burden did not differ between APP-KI and APP/IR-dKI mice. Therefore, insulin resistance, not persistent hyperglycemia, induces the earlier onset of cognitive dysfunction and CBF deregulation mediated by nAChRα7 downregulation. Our mouse model will help clarify the association between type 2 diabetes mellitus and AD.
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Affiliation(s)
- Naotaka Izuo
- Department of Endocrinology, Hematology and Gerontology, Graduate School of MedicineChiba UniversityChibaJapan
- Department of Pharmaceutical Therapy and Neuropharmacology, Graduate School of Medical and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan
| | - Nobuhiro Watanabe
- Department of Autonomic NeuroscienceTokyo Metropolitan Institute for Geriatrics and GerontologyTokyoJapan
| | - Yoshihiro Noda
- Department of Animal FacilityTokyo Metropolitan Institute for Geriatrics and GerontologyTokyoJapan
| | - Takashi Saito
- Laboratory for Proteolytic NeuroscienceRIKEN Center for Brain ScienceWakoJapan
- Department of Neurocognitive ScienceInstitute of Brain Science, Nagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Takaomi C. Saido
- Laboratory for Proteolytic NeuroscienceRIKEN Center for Brain ScienceWakoJapan
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Graduate School of MedicineChiba UniversityChibaJapan
| | - Harumi Hotta
- Department of Autonomic NeuroscienceTokyo Metropolitan Institute for Geriatrics and GerontologyTokyoJapan
| | - Takahiko Shimizu
- Department of Endocrinology, Hematology and Gerontology, Graduate School of MedicineChiba UniversityChibaJapan
- Aging Stress Response Research Project TeamNational Center for Geriatrics and GerontologyObuJapan
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Phongpreecha T, Cholerton B, Bhukari S, Chang AL, De Francesco D, Thuraiappah M, Godrich D, Perna A, Becker MG, Ravindra NG, Espinosa C, Kim Y, Berson E, Mataraso S, Sha SJ, Fox EJ, Montine KS, Baker LD, Craft S, White L, Poston KL, Beecham G, Aghaeepour N, Montine TJ. Prediction of neuropathologic lesions from clinical data. Alzheimers Dement 2023; 19:3005-3018. [PMID: 36681388 PMCID: PMC10359434 DOI: 10.1002/alz.12921] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/15/2022] [Accepted: 12/12/2022] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Post-mortem analysis provides definitive diagnoses of neurodegenerative diseases; however, only a few can be diagnosed during life. METHODS This study employed statistical tools and machine learning to predict 17 neuropathologic lesions from a cohort of 6518 individuals using 381 clinical features (Table S1). The multisite data allowed validation of the model's robustness by splitting train/test sets by clinical sites. A similar study was performed for predicting Alzheimer's disease (AD) neuropathologic change without specific comorbidities. RESULTS Prediction results show high performance for certain lesions that match or exceed that of research annotation. Neurodegenerative comorbidities in addition to AD neuropathologic change resulted in compounded, but disproportionate, effects across cognitive domains as the comorbidity number increased. DISCUSSION Certain clinical features could be strongly associated with multiple neurodegenerative diseases, others were lesion-specific, and some were divergent between lesions. Our approach could benefit clinical research, and genetic and biomarker research by enriching cohorts for desired lesions.
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Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
| | - Brenna Cholerton
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Syed Bhukari
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Alan L. Chang
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Davide De Francesco
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Melan Thuraiappah
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Dana Godrich
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami 1501 NW 10 Ave, Miami, Florida 33136 USA
| | - Amalia Perna
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Martin G. Becker
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Neal G. Ravindra
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Yeasul Kim
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Eloise Berson
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Samson Mataraso
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Sharon J. Sha
- Department of Neurology & Neurological Sciences, Stanford University 213 Quarry Road, MC 5979 Palo Alto, CA 94304 USA
| | - Edward J. Fox
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Kathleen S. Montine
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Laura D. Baker
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine 475 Vine Street, Winston-Salem, NC 27101 USA
| | - Suzanne Craft
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine 475 Vine Street, Winston-Salem, NC 27101 USA
| | - Lon White
- Pacific Health Research and Education Institute, Hawaii 3375 Koapaka Street, I-540, Honolulu, HI 96819 USA
| | - Kathleen L. Poston
- Department of Neurology & Neurological Sciences, Stanford University 213 Quarry Road, MC 5979 Palo Alto, CA 94304 USA
| | - Gary Beecham
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami 1501 NW 10 Ave, Miami, Florida 33136 USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Thomas J. Montine
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
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McDonald TS, Lerskiatiphanich T, Woodruff TM, McCombe PA, Lee JD. Potential mechanisms to modify impaired glucose metabolism in neurodegenerative disorders. J Cereb Blood Flow Metab 2023; 43:26-43. [PMID: 36281012 PMCID: PMC9875350 DOI: 10.1177/0271678x221135061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 09/01/2022] [Accepted: 09/21/2022] [Indexed: 01/28/2023]
Abstract
Neurodegeneration refers to the selective and progressive loss-of-function and atrophy of neurons, and is present in disorders such as Alzheimer's, Huntington's, and Parkinson's disease. Although each disease presents with a unique pattern of neurodegeneration, and subsequent disease phenotype, increasing evidence implicates alterations in energy usage as a shared and core feature in the onset and progression of these disorders. Indeed, disturbances in energy metabolism may contribute to the vulnerability of neurons to apoptosis. In this review we will outline these disturbances in glucose metabolism, and how fatty acids are able to compensate for this impairment in energy production in neurodegenerative disorders. We will also highlight underlying mechanisms that could contribute to these alterations in energy metabolism. A greater understanding of these metabolism-neurodegeneration processes could lead to improved treatment options for neurodegenerative disease patients.
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Affiliation(s)
- Tanya S McDonald
- School of Biomedical Sciences, Faculty of Medicine, The
University of Queensland, St. Lucia, Australia
| | - Titaya Lerskiatiphanich
- School of Biomedical Sciences, Faculty of Medicine, The
University of Queensland, St. Lucia, Australia
| | - Trent M Woodruff
- School of Biomedical Sciences, Faculty of Medicine, The
University of Queensland, St. Lucia, Australia
- Queensland Brain Institute, The University of Queensland, St.
Lucia, Australia
| | - Pamela A McCombe
- Centre for Clinical Research, Faculty of Medicine, The
University of Queensland, St. Lucia, Australia
- Department of Neurology, Royal Brisbane & Women’s Hospital,
Herston, Australia
| | - John D Lee
- School of Biomedical Sciences, Faculty of Medicine, The
University of Queensland, St. Lucia, Australia
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Daly T. To understand the diabetes-dementia association, frailty may prove more fruitful than neuropathology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12342. [PMID: 35845264 PMCID: PMC9275657 DOI: 10.1002/dad2.12342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 02/12/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Timothy Daly
- Philosophy DepartmentUMR 8011, Science, Norms, DemocracySorbonne UniversitéParisFrance
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D’Cunha NM, Sergi D, Lane MM, Naumovski N, Gamage E, Rajendran A, Kouvari M, Gauci S, Dissanayka T, Marx W, Travica N. The Effects of Dietary Advanced Glycation End-Products on Neurocognitive and Mental Disorders. Nutrients 2022; 14:nu14122421. [PMID: 35745150 PMCID: PMC9227209 DOI: 10.3390/nu14122421] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 02/04/2023] Open
Abstract
Advanced glycation end products (AGEs) are glycated proteins or lipids formed endogenously in the human body or consumed through diet. Ultra-processed foods and some culinary techniques, such as dry cooking methods, represent the main sources and drivers of dietary AGEs. Tissue accumulation of AGEs has been associated with cellular aging and implicated in various age-related diseases, including type-2 diabetes and cardiovascular disease. The current review summarizes the literature examining the associations between AGEs and neurocognitive and mental health disorders. Studies indicate that elevated circulating AGEs are cross-sectionally associated with poorer cognitive function and longitudinally increase the risk of developing dementia. Additionally, preliminary studies show that higher skin AGE accumulation may be associated with mental disorders, particularly depression and schizophrenia. Potential mechanisms underpinning the effects of AGEs include elevated oxidative stress and neuroinflammation, which are both key pathogenetic mechanisms underlying neurodegeneration and mental disorders. Decreasing dietary intake of AGEs may improve neurological and mental disorder outcomes. However, more sophisticated prospective studies and analytical approaches are required to verify directionality and the extent to which AGEs represent a mediator linking unhealthy dietary patterns with cognitive and mental disorders.
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Affiliation(s)
- Nathan M. D’Cunha
- Discipline of Nutrition and Dietetics, Faculty of Health, University of Canberra, Canberra, ACT 2601, Australia (N.N.); (M.K.)
- Functional Foods and Nutrition Research (FFNR) Laboratory, University of Canberra, Bruce, ACT 2617, Australia
| | - Domenico Sergi
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy;
| | - Melissa M. Lane
- Food and Mood Centre, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia; (M.M.L.); (E.G.); (A.R.); (T.D.); (W.M.)
| | - Nenad Naumovski
- Discipline of Nutrition and Dietetics, Faculty of Health, University of Canberra, Canberra, ACT 2601, Australia (N.N.); (M.K.)
- Functional Foods and Nutrition Research (FFNR) Laboratory, University of Canberra, Bruce, ACT 2617, Australia
- Department of Nutrition-Dietetics, Harokopio University, 17671 Athens, Greece
| | - Elizabeth Gamage
- Food and Mood Centre, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia; (M.M.L.); (E.G.); (A.R.); (T.D.); (W.M.)
| | - Anushri Rajendran
- Food and Mood Centre, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia; (M.M.L.); (E.G.); (A.R.); (T.D.); (W.M.)
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3216, Australia
| | - Matina Kouvari
- Discipline of Nutrition and Dietetics, Faculty of Health, University of Canberra, Canberra, ACT 2601, Australia (N.N.); (M.K.)
- Functional Foods and Nutrition Research (FFNR) Laboratory, University of Canberra, Bruce, ACT 2617, Australia
- Department of Nutrition-Dietetics, Harokopio University, 17671 Athens, Greece
| | - Sarah Gauci
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC 3122, Australia;
- Heart and Mind Research, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, School of Medicine, Deakin University, Geelong, VIC 3220, Australia
| | - Thusharika Dissanayka
- Food and Mood Centre, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia; (M.M.L.); (E.G.); (A.R.); (T.D.); (W.M.)
| | - Wolfgang Marx
- Food and Mood Centre, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia; (M.M.L.); (E.G.); (A.R.); (T.D.); (W.M.)
| | - Nikolaj Travica
- Food and Mood Centre, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia; (M.M.L.); (E.G.); (A.R.); (T.D.); (W.M.)
- Correspondence:
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Kamalı A, Çakmak R, Boğa M. Anticholinesterase and antioxidant activities of novel heterocyclic Schiff base derivatives containing an aryl sulfonate moiety. J CHIN CHEM SOC-TAIP 2022. [DOI: 10.1002/jccs.202100511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Ayfer Kamalı
- Department of Medical Services and Techniques, Medical Laboratory Techniques Program, Vocational School of Health Services Batman University Batman Turkey
| | - Reşit Çakmak
- Department of Medical Services and Techniques, Medical Laboratory Techniques Program, Vocational School of Health Services Batman University Batman Turkey
| | - Mehmet Boğa
- Department of Analytical Chemistry, Faculty of Pharmacy Dicle University Diyarbakır Turkey
- Dicle University Health Sciences Application and Research Center (DÜSAM) Diyarbakır Turkey
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