1
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Abdalla MMI. Insulin resistance as the molecular link between diabetes and Alzheimer's disease. World J Diabetes 2024; 15:1430-1447. [DOI: 10.4239/wjd.v15.i7.1430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 04/08/2024] [Accepted: 05/06/2024] [Indexed: 07/08/2024] Open
Abstract
Diabetes mellitus (DM) and Alzheimer's disease (AD) are two major health concerns that have seen a rising prevalence worldwide. Recent studies have indicated a possible link between DM and an increased risk of developing AD. Insulin, while primarily known for its role in regulating blood sugar, also plays a vital role in protecting brain functions. Insulin resistance (IR), especially prevalent in type 2 diabetes, is believed to play a significant role in AD's development. When insulin signalling becomes dysfunctional, it can negatively affect various brain functions, making individuals more susceptible to AD's defining features, such as the buildup of beta-amyloid plaques and tau protein tangles. Emerging research suggests that addressing insulin-related issues might help reduce or even reverse the brain changes linked to AD. This review aims to explore the rela-tionship between DM and AD, with a focus on the role of IR. It also explores the molecular mechanisms by which IR might lead to brain changes and assesses current treatments that target IR. Understanding IR's role in the connection between DM and AD offers new possibilities for treatments and highlights the importance of continued research in this interdisciplinary field.
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Affiliation(s)
- Mona Mohamed Ibrahim Abdalla
- Department of Human Biology, School of Medicine, International Medical University, Bukit Jalil 57000, Kuala Lumpur, Malaysia
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2
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Gunawan F, Matson BC, Coppoli A, Jiang L, Ding Y, Perry R, Sanchez-Rangel E, DeAguiar RB, Behar KL, Rothman DL, Mason GF, Hwang JJ. Deficits in brain glucose transport among younger adults with obesity. Obesity (Silver Spring) 2024; 32:1329-1338. [PMID: 38764181 DOI: 10.1002/oby.24034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/05/2024] [Accepted: 03/13/2024] [Indexed: 05/21/2024]
Abstract
OBJECTIVE Obesity is associated with alterations in eating behavior and neurocognitive function. In this study, we investigate the effect of obesity on brain energy utilization, including brain glucose transport and metabolism. METHODS A total of 11 lean participants and 7 young healthy participants with obesity (mean age, 27 years) underwent magnetic resonance spectroscopy scanning coupled with a hyperglycemic clamp (target, ~180 mg/dL) using [1-13C] glucose to measure brain glucose uptake and metabolism, as well as peripheral markers of insulin resistance. RESULTS Individuals with obesity demonstrated an ~20% lower ratio of brain glucose uptake to cerebral glucose metabolic rate (Tmax/CMRglucose) than lean participants (2.12 ± 0.51 vs. 2.67 ± 0.51; p = 0.04). The cerebral tricarboxylic acid cycle flux (VTCA) was similar between the two groups (p = 0.64). There was a negative correlation between total nonesterified fatty acids and Tmax/CMRglucose (r = -0.477; p = 0.045). CONCLUSIONS We conclude that CMRglucose is unlikely to differ between groups due to similar VTCA, and, therefore, the glucose transport Tmax is lower in individuals with obesity. These human findings suggest that obesity is associated with reduced cerebral glucose transport capacity even at a young age and in the absence of other cardiometabolic comorbidities, which may have implications for long-term brain function and health.
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Affiliation(s)
- Felona Gunawan
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Brooke C Matson
- Division of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Anastasia Coppoli
- Yale Magnetic Resonance Research Center, Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Lihong Jiang
- Yale Magnetic Resonance Research Center, Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Yuyan Ding
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Rachel Perry
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Elizabeth Sanchez-Rangel
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Renata Belfort DeAguiar
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Kevin L Behar
- Yale Magnetic Resonance Research Center, Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Douglas L Rothman
- Yale Magnetic Resonance Research Center, Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA
| | - Graeme F Mason
- Yale Magnetic Resonance Research Center, Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA
| | - Janice J Hwang
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
- Division of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
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Ball BK, Kuhn MK, Fleeman Bechtel RM, Proctor EA, Brubaker DK. Differential responses of primary neuron-secreted MCP-1 and IL-9 to type 2 diabetes and Alzheimer's disease-associated metabolites. Sci Rep 2024; 14:12743. [PMID: 38830911 PMCID: PMC11148169 DOI: 10.1038/s41598-024-62155-3] [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: 12/01/2023] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
Type 2 diabetes (T2D) is implicated as a risk factor for Alzheimer's disease (AD), the most common form of dementia. In this work, we investigated neuroinflammatory responses of primary neurons to potentially circulating, blood-brain barrier (BBB) permeable metabolites associated with AD, T2D, or both. We identified nine metabolites associated with protective or detrimental properties of AD and T2D in literature (lauric acid, asparagine, fructose, arachidonic acid, aminoadipic acid, sorbitol, retinol, tryptophan, niacinamide) and stimulated primary mouse neuron cultures with each metabolite before quantifying cytokine secretion via Luminex. We employed unsupervised clustering, inferential statistics, and partial least squares discriminant analysis to identify relationships between cytokine concentration and disease-associations of metabolites. We identified MCP-1, a cytokine associated with monocyte recruitment, as differentially abundant between neurons stimulated by metabolites associated with protective and detrimental properties of AD and T2D. We also identified IL-9, a cytokine that promotes mast cell growth, to be differentially associated with T2D. Indeed, cytokines, such as MCP-1 and IL-9, released from neurons in response to BBB-permeable metabolites associated with T2D may contribute to AD development by downstream effects of neuroinflammation.
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Affiliation(s)
- Brendan K Ball
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Madison K Kuhn
- Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
- Department of Biomedical Engineering, Penn State University, State College, PA, USA
- Center for Neural Engineering, Penn State University, State College, PA, USA
| | - Rebecca M Fleeman Bechtel
- Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
| | - Elizabeth A Proctor
- Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
- Department of Biomedical Engineering, Penn State University, State College, PA, USA
- Center for Neural Engineering, Penn State University, State College, PA, USA
- Department of Engineering Science & Mechanics, Penn State University, State College, PA, USA
| | - Douglas K Brubaker
- Center for Global Health & Diseases, Department of Pathology, School of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
- Blood Heart Lung Immunology Research Center, University Hospitals, Cleveland, OH, USA.
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4
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Rebelos E, Latva-Rasku A, Koskensalo K, Pekkarinen L, Saukko E, Ihalainen J, Honka MJ, Tuisku J, Bucci M, Laurila S, Rajander J, Salminen P, Nummenmaa L, Jansen JFA, Ferrannini E, Nuutila P. Insulin-stimulated brain glucose uptake correlates with brain metabolites in severe obesity: A combined neuroimaging study. J Cereb Blood Flow Metab 2024; 44:407-418. [PMID: 37824728 PMCID: PMC10870965 DOI: 10.1177/0271678x231207114] [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: 12/12/2022] [Revised: 08/30/2023] [Accepted: 09/15/2023] [Indexed: 10/14/2023]
Abstract
The human brain undergoes metabolic adaptations in obesity, but the underlying mechanisms have remained largely unknown. We compared concentrations of often reported brain metabolites measured with magnetic resonance spectroscopy (1H-MRS, 3 T MRI) in the occipital lobe in subjects with obesity and lean controls under different metabolic conditions (fasting, insulin clamp, following weight loss). Brain glucose uptake (BGU) quantified with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET)) was also performed in a subset of subjects during clamp. In dataset A, 48 participants were studied during fasting with brain 1H-MRS, while in dataset B 21 participants underwent paired brain 1H-MRS acquisitions under fasting and clamp conditions. In dataset C 16 subjects underwent brain 18F-FDG-PET and 1H-MRS during clamp. In the fasting state, total N-acetylaspartate was lower in subjects with obesity, while brain myo-inositol increased in response to hyperinsulinemia similarly in both lean participants and subjects with obesity. During clamp, BGU correlated positively with brain glutamine/glutamate, total choline, and total creatine levels. Following weight loss, brain creatine levels were increased, whereas increases in other metabolites remained not significant. To conclude, insulin signaling and glucose metabolism are significantly coupled with several of the changes in brain metabolites that occur in obesity.
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Affiliation(s)
- Eleni Rebelos
- Turku PET Centre, University of Turku, Turku, Finland
- Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Aino Latva-Rasku
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
| | - Kalle Koskensalo
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Laura Pekkarinen
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
| | - Ekaterina Saukko
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Jukka Ihalainen
- Turku PET Centre, Accelerator Laboratory, Åbo Akademi University, Turku, Finland
| | | | - Jouni Tuisku
- Turku PET Centre, University of Turku, Turku, Finland
| | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Sanna Laurila
- Turku PET Centre, University of Turku, Turku, Finland
| | - Johan Rajander
- Turku PET Centre, Accelerator Laboratory, Åbo Akademi University, Turku, Finland
| | - Paulina Salminen
- Department of Digestive Surgery and Urology, Turku University Hospital, Turku, Finland
- Department of Surgery, University of Turku, Turku, Finland
| | - Lauri Nummenmaa
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Psychology University of Turku, Turku, Finland
| | - Jacobus FA Jansen
- Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Ele Ferrannini
- Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
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Greeny A, Nair A, Sadanandan P, Satarker S, Famurewa AC, Nampoothiri M. Epigenetic Alterations in Alzheimer's Disease: Impact on Insulin Signaling and Advanced Drug Delivery Systems. BIOLOGY 2024; 13:157. [PMID: 38534427 DOI: 10.3390/biology13030157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/28/2024]
Abstract
Alzheimer's disease (AD) is a neurodegenerative condition that predominantly affects the hippocampus and the entorhinal complex, leading to memory lapse and cognitive impairment. This can have a negative impact on an individual's behavior, speech, and ability to navigate their surroundings. AD is one of the principal causes of dementia. One of the most accepted theories in AD, the amyloid β (Aβ) hypothesis, assumes that the buildup of the peptide Aβ is the root cause of AD. Impaired insulin signaling in the periphery and central nervous system has been considered to have an effect on the pathophysiology of AD. Further, researchers have shifted their focus to epigenetic mechanisms that are responsible for dysregulating major biochemical pathways and intracellular signaling processes responsible for directly or indirectly causing AD. The prime epigenetic mechanisms encompass DNA methylation, histone modifications, and non-coding RNA, and are majorly responsible for impairing insulin signaling both centrally and peripherally, thus leading to AD. In this review, we provide insights into the major epigenetic mechanisms involved in causing AD, such as DNA methylation and histone deacetylation. We decipher how the mechanisms alter peripheral insulin signaling and brain insulin signaling, leading to AD pathophysiology. In addition, this review also discusses the need for newer drug delivery systems for the targeted delivery of epigenetic drugs and explores targeted drug delivery systems such as nanoparticles, vesicular systems, networks, and other nano formulations in AD. Further, this review also sheds light on the future approaches used for epigenetic drug delivery.
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Affiliation(s)
- Alosh Greeny
- Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, India
| | - Ayushi Nair
- Department of Pharmaceutics, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Amrita Health Science Campus, Kochi 682041, India
| | - Prashant Sadanandan
- Department of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Amrita Health Science Campus, Kochi 682041, India
| | - Sairaj Satarker
- Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, India
| | - Ademola C Famurewa
- Department of Medical Biochemistry, Faculty of Basic Medical Sciences, College of Medical Sciences, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo 482123, Nigeria
| | - Madhavan Nampoothiri
- Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, India
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Bucci M, Rebelos E, Oikonen V, Rinne J, Nummenmaa L, Iozzo P, Nuutila P. Kinetic Modeling of Brain [ 18-F]FDG Positron Emission Tomography Time Activity Curves with Input Function Recovery (IR) Method. Metabolites 2024; 14:114. [PMID: 38393006 PMCID: PMC10890269 DOI: 10.3390/metabo14020114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/25/2024] Open
Abstract
Accurate positron emission tomography (PET) data quantification relies on high-quality input plasma curves, but venous blood sampling may yield poor-quality data, jeopardizing modeling outcomes. In this study, we aimed to recover sub-optimal input functions by using information from the tail (5th-100th min) of curves obtained through the frequent sampling protocol and an input recovery (IR) model trained with reference curves of optimal shape. Initially, we included 170 plasma input curves from eight published studies with clamp [18F]-fluorodeoxyglucose PET exams. Model validation involved 78 brain PET studies for which compartmental model (CM) analysis was feasible (reference (ref) + training sets). Recovered curves were compared with original curves using area under curve (AUC), max peak standardized uptake value (maxSUV). CM parameters (ref + training sets) and fractional uptake rate (FUR) (all sets) were computed. Original and recovered curves from the ref set had comparable AUC (d = 0.02, not significant (NS)), maxSUV (d = 0.05, NS) and comparable brain CM results (NS). Recovered curves from the training set were different from the original according to maxSUV (d = 3) and biologically plausible according to the max theoretical K1 (53//56). Brain CM results were different in the training set (p < 0.05 for all CM parameters and brain regions) but not in the ref set. FUR showed reductions similarly in the recovered curves of the training and test sets compared to the original curves (p < 0.05 for all regions for both sets). The IR method successfully recovered the plasma inputs of poor quality, rescuing cases otherwise excluded from the kinetic modeling results. The validation approach proved useful and can be applied to different tracers and metabolic conditions.
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Affiliation(s)
- Marco Bucci
- Turku PET Centre, Turku University Hospital, 20521 Turku, Finland
- Turku PET Centre, University of Turku, 20521 Turku, Finland
- Turku PET Centre, Åbo Akademi University, 20521 Turku, Finland
- Theme Inflammation and Aging, Karolinska University Hospital, SE-141 86 Stockholm, Sweden
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska University, SE-141 84 Stockholm, Sweden
| | - Eleni Rebelos
- Turku PET Centre, University of Turku, 20521 Turku, Finland
| | - Vesa Oikonen
- Turku PET Centre, University of Turku, 20521 Turku, Finland
| | - Juha Rinne
- Turku PET Centre, Turku University Hospital, 20521 Turku, Finland
| | - Lauri Nummenmaa
- Turku PET Centre, University of Turku, 20521 Turku, Finland
- Department of Psychology, University of Turku, 20520 Turku, Finland
| | - Patricia Iozzo
- Institute of Clinical Physiology (IFC), National Research Council (CNR), 56124 Pisa, Italy
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, 20521 Turku, Finland
- Department of Endocrinology, Turku University Hospital, 20521 Turku, Finland
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Ruegsegger GN, Ekholm ER, Monroe CE, Rappaport CI, Huppert RD, Anton CR, Ferguson MJ. Glucose tolerance status associates with improvements in cognitive function following high-intensity exercise in adults with obesity. Physiol Behav 2023; 272:114389. [PMID: 37890604 DOI: 10.1016/j.physbeh.2023.114389] [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: 06/19/2023] [Revised: 09/28/2023] [Accepted: 10/24/2023] [Indexed: 10/29/2023]
Abstract
PURPOSE Obesity, insulin resistance (IR), and proinflammatory cytokines associate with cognitive decline. Numerous studies document cognitive benefits of acute exercise bouts in lean individuals. However, how co-morbidities such as obesity and IR influence cognitive changes induced by acute exercise is unclear. We examined the effects of acute high-intensity aerobic exercise on cognitive function in age-matched and BMI-matched obese adults with normal glucose tolerance (NGT) or impaired glucose tolerance (IGT) and in lean, NGT adults. METHODS 49 adults (15 Lean, 18 Obese-NGT, 16 Obese-IGT) performed one session of high-intensity interval exercise (four cycles of 4-min at 75% Wmax with 3-min rest). Cognitive function testing and blood sampling were performed pre- and post-exercise. RESULTS Following exercise, measurements of executive function and working memory were improved in Lean and Obese-NGT (p < 0.05), but not Obese-IGT. Changes in cognitive function following exercise negatively correlated with 2-hr glucose during an OGTT after controlling for body weight and body composition (rp = -0.40, p = 0.007). Serum levels of inflammatory cytokines IL-6 and CRP remained increased 60-minutes post-exercise in Obese-IGT, but not in Lean or Obese-NGT, which positively associated with 2-hr glucose during an OGTT (p < 0.01) and negatively with changes in cognitive function following exercise (p < 0.01). Greater insulin levels in Obese-IGT post-exercise also negatively correlated with changes in cognitive function following exercise (p < 0.01). CONCLUSION Improvements in cognition following acute high-intensity exercise positively associate with glucose tolerance, independent of body weight and body composition. Further, poorer changes in cognitive performance following exercise associate with persistent peripheral inflammation.
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Affiliation(s)
- Gregory N Ruegsegger
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States.
| | - Emily R Ekholm
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States
| | - Chandler E Monroe
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States
| | - Chapin I Rappaport
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States
| | - Rocco D Huppert
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States
| | - Caleb R Anton
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States
| | - Mia J Ferguson
- Department of Health and Human Performance, University of Wisconsin-River Falls, A173 Falcon Center, 410 S. 3rd St., River Falls, WI, 54022, United States
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Ball BK, Kuhn MK, Fleeman RM, Proctor EA, Brubaker DK. Differential responses of primary neuron-secreted MCP-1 and IL-9 to type 2 diabetes and Alzheimer's disease-associated metabolites. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.17.567595. [PMID: 38014333 PMCID: PMC10680853 DOI: 10.1101/2023.11.17.567595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Type 2 diabetes (T2D) is implicated as a risk factor for Alzheimer's disease (AD), the most common form of dementia. In this work, we investigated neuroinflammatory responses of primary neurons to potentially circulating, blood-brain barrier (BBB) permeable metabolites associated with AD, T2D, or both. We identified nine metabolites associated with protective or detrimental properties of AD and T2D in literature (lauric acid, asparagine, fructose, arachidonic acid, aminoadipic acid, sorbitol, retinol, tryptophan, niacinamide) and stimulated primary mouse neuron cultures with each metabolite before quantifying cytokine secretion via Luminex. We employed unsupervised clustering, inferential statistics, and partial least squares discriminant analysis to identify relationships between cytokine concentration and disease-associations of metabolites. We identified MCP-1, a cytokine associated with monocyte recruitment, as differentially abundant between neurons stimulated by metabolites associated with protective and detrimental properties of AD and T2D. We also identified IL-9, a cytokine that promotes mast cell growth, to be differentially associated with T2D. Indeed, cytokines, such as MCP-1 and IL-9, released from neurons in response to BBB-permeable metabolites associated with T2D may contribute to AD development by downstream effects of neuroinflammation.
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Affiliation(s)
- Brendan K. Ball
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Madison K. Kuhn
- Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
- Department of Biomedical Engineering, Penn State University, State College, PA, USA
- Center for Neural Engineering, Penn State University, State College, PA, USA
| | - Rebecca M. Fleeman
- Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
| | - Elizabeth A. Proctor
- Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA
- Department of Biomedical Engineering, Penn State University, State College, PA, USA
- Center for Neural Engineering, Penn State University, State College, PA, USA
- Department of Engineering Science & Mechanics, Penn State University, State College, PA, USA
| | - Douglas K. Brubaker
- Center for Global Health & Diseases, Department of Pathology, School of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Blood Heart Lung Immunology Research Center, University Hospitals, Cleveland, OH, USA
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9
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Rhea EM, Leclerc M, Yassine HN, Capuano AW, Tong H, Petyuk VA, Macauley SL, Fioramonti X, Carmichael O, Calon F, Arvanitakis Z. State of the Science on Brain Insulin Resistance and Cognitive Decline Due to Alzheimer's Disease. Aging Dis 2023:AD.2023.0814. [PMID: 37611907 DOI: 10.14336/ad.2023.0814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/14/2023] [Indexed: 08/25/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is common and increasing in prevalence worldwide, with devastating public health consequences. While peripheral insulin resistance is a key feature of most forms of T2DM and has been investigated for over a century, research on brain insulin resistance (BIR) has more recently been developed, including in the context of T2DM and non-diabetes states. Recent data support the presence of BIR in the aging brain, even in non-diabetes states, and found that BIR may be a feature in Alzheimer's disease (AD) and contributes to cognitive impairment. Further, therapies used to treat T2DM are now being investigated in the context of AD treatment and prevention, including insulin. In this review, we offer a definition of BIR, and present evidence for BIR in AD; we discuss the expression, function, and activation of the insulin receptor (INSR) in the brain; how BIR could develop; tools to study BIR; how BIR correlates with current AD hallmarks; and regional/cellular involvement of BIR. We close with a discussion on resilience to both BIR and AD, how current tools can be improved to better understand BIR, and future avenues for research. Overall, this review and position paper highlights BIR as a plausible therapeutic target for the prevention of cognitive decline and dementia due to AD.
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Affiliation(s)
- Elizabeth M Rhea
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA 98195, USA
| | - Manon Leclerc
- Faculty of Pharmacy, Laval University, Quebec, Quebec, Canada
- Neuroscience Axis, CHU de Québec Research Center - Laval University, Quebec, Quebec, Canada
| | - Hussein N Yassine
- Departments of Neurology and Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Han Tong
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Shannon L Macauley
- Department of Physiology, University of Kentucky, Lexington, KY 40508, USA
| | - Xavier Fioramonti
- Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33000 Bordeaux, France
- International Associated Laboratory OptiNutriBrain, Bordeaux, France and Quebec, Canada
| | - Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Frederic Calon
- Faculty of Pharmacy, Laval University, Quebec, Quebec, Canada
- Neuroscience Axis, CHU de Québec Research Center - Laval University, Quebec, Quebec, Canada
- International Associated Laboratory OptiNutriBrain, Bordeaux, France and Quebec, Canada
| | - Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
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Rebelos E, Malloggi E, Parenti M, Dardano A, Tura A, Daniele G. Near-Infrared Spectroscopy: A Free-Living Neuroscience Tool to Better Understand Diabetes and Obesity. Metabolites 2023; 13:814. [PMID: 37512521 PMCID: PMC10384622 DOI: 10.3390/metabo13070814] [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: 05/31/2023] [Revised: 06/25/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
The human brain is the least accessible of all organs and attempts to study it in vivo rely predominantly on neuroimaging. Functional near-infrared spectroscopy (fNIRS) allows for the study of cortical neural activity in a non-invasive manner that may resemble free-living conditions. Moreover, compared to other neuroimaging tools, fNIRS is less expensive, it does not require the use of ionizing radiation, and can be applied to all study populations (patients suffering from claustrophobia, or neonates). In this narrative review, we provide an overview of the available research performed using fNIRS in patients with diabetes and obesity. The few studies conducted to date have presented controversial results regarding patients with diabetes, some reporting a greater hemodynamic response and others reporting a reduced hemodynamic response compared to the controls, with an unclear distinction between types 1 and 2. Subjects with obesity or a binge eating disorder have reduced prefrontal activation in response to inhibitory food or non-food stimuli; however, following an intervention, such as cognitive treatment, prefrontal activation is restored. Moreover, we discuss the potential of future applications of fNIRS for a better understanding of cortical neural activity in the context of metabolic disorders.
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Affiliation(s)
- Eleni Rebelos
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Eleonora Malloggi
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Martina Parenti
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Angela Dardano
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
- CISUP, Center for Instrument Sharing, University of Pisa, 56124 Pisa, Italy
| | - Andrea Tura
- CNR Institute of Neuroscience, 35131 Padova, Italy
| | - Giuseppe Daniele
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
- CISUP, Center for Instrument Sharing, University of Pisa, 56124 Pisa, Italy
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11
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From Determining Brain Insulin Resistance in a Sporadic Alzheimer's Disease Model to Exploring the Region-Dependent Effect of Intranasal Insulin. Mol Neurobiol 2023; 60:2005-2023. [PMID: 36596966 DOI: 10.1007/s12035-022-03188-5] [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: 04/22/2022] [Accepted: 12/25/2022] [Indexed: 01/05/2023]
Abstract
Impaired response to insulin has been linked to many neurodegenerative disorders like Alzheimer's disease (AD). Animal model of sporadic AD has been developed by intracerebroventricular (icv) administration of streptozotocin (STZ), which given peripherally causes insulin resistance. Difficulty in demonstrating insulin resistance in this model led to our aim: to determine brain regional and peripheral response after intranasal (IN) administration of insulin in control and STZ-icv rats, by exploring peripheral and central metabolic parameters. One month after STZ-icv or vehicle-icv administration to 3-month-old male Wistar rats, cognitive status was determined after which rats received 2 IU of fast-acting insulin aspart intranasally (CTR + INS; STZ + INS) or saline only (CTR and STZ). Rats were sacrificed 2 h after administration and metabolic and glutamatergic parameters were measured in plasma, CSF, and the brain. Insulin and STZ increased amyloid-β concentration in plasma (CTR + INS and STZ vs CTR), while there was no effect on glucose and insulin plasma and CSF levels. INS normalized the levels of c-fos in temporal cortex of STZ + INS vs STZ (co-localized with neurons), while hypothalamic c-fos was found co-localized with the microglial marker. STZ and insulin brain region specifically altered the levels and activity of proteins involved in cell metabolism and glutamate signaling. Central changes found after INS in STZ-icv rats suggest hippocampal and cortical insulin sensitivity. Altered hypothalamic metabolic parameters of STZ-icv rats were not normalized by INS, indicating possible hypothalamic insulin insensitivity. Brain insulin sensitivity depends on the affected brain region and presence of metabolic dysfunction induced by STZ-icv administration.
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Pekkarinen L, Kantonen T, Rebelos E, Latva-Rasku A, Dadson P, Karjalainen T, Bucci M, Kalliokoski K, Laitinen K, Houttu N, Kirjavainen AK, Rajander J, Rönnemaa T, Nummenmaa L, Nuutila P. Obesity risk is associated with brain glucose uptake and insulin resistance. Eur J Endocrinol 2022; 187:917-928. [PMID: 36288097 PMCID: PMC9782452 DOI: 10.1530/eje-22-0509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 10/26/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To investigate whether alterations in brain glucose uptake (BGU), insulin action in the brain-liver axis and whole-body insulin sensitivity occur in young adults in pre-obese state. METHODS Healthy males with either high risk (HR; n = 19) or low risk (LR; n = 22) for developing obesity were studied with [18F]fluoro-d-glucose ([18F]FDG)-positron emission tomography during hyperinsulinemic-euglycemic clamp. Obesity risk was assessed according to BMI, physical activity and parental overweight/obesity and type 2 diabetes. Brain, skeletal muscle, brown adipose tissue (BAT), visceral adipose tissue (VAT) and abdominal and femoral s.c. adipose tissue (SAT) glucose uptake (GU) rates were measured. Endogenous glucose production (EGP) was calculated by subtracting the exogenous glucose infusion rate from the rate of disappearance of [18F]FDG. BGU was analyzed using statistical parametric mapping, and peripheral tissue activity was determined using Carimas Software imaging processing platform. RESULTS BGU was higher in the HR vs LR group and correlated inversely with whole-body insulin sensitivity (M value) in the HR group but not in the LR group. Insulin-suppressed EGP did not differ between the groups but correlated positively with BGU in the whole population, and the correlation was driven by the HR group. Skeletal muscle, BAT, VAT, abdominal and femoral SAT GU were lower in the HR group as compared to the LR group. Muscle GU correlated negatively with BGU in the HR group but not in the LR group. CONCLUSION Increased BGU, alterations in insulin action in the brain-liver axis and decreased whole-body insulin sensitivity occur early in pre-obese state.
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Affiliation(s)
- Laura Pekkarinen
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
| | - Tatu Kantonen
- Turku PET Centre, University of Turku, Turku, Finland
- Clinical Neurosciences, Turku University Hospital, Turku, Finland
| | - Eleni Rebelos
- Turku PET Centre, University of Turku, Turku, Finland
| | | | - Prince Dadson
- Turku PET Centre, University of Turku, Turku, Finland
| | | | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Åbo Akademi University, Turku, Finland
| | | | - Kirsi Laitinen
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, Finland
| | - Noora Houttu
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, Finland
| | | | - Johan Rajander
- Turku PET Centre, Åbo Akademi University, Turku, Finland
| | - Tapani Rönnemaa
- Department of Endocrinology, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Lauri Nummenmaa
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Psychology, University of Turku, Turku, Finland
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
- Correspondence should be addressed to P Nuutila;
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Rhea EM, Banks WA, Raber J. Insulin Resistance in Peripheral Tissues and the Brain: A Tale of Two Sites. Biomedicines 2022; 10:1582. [PMID: 35884888 PMCID: PMC9312939 DOI: 10.3390/biomedicines10071582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 12/12/2022] Open
Abstract
The concept of insulin resistance has been around since a few decades after the discovery of insulin itself. To allude to the classic Charles Dicken's novel published 62 years before the discovery of insulin, in some ways, this is the best of times, as the concept of insulin resistance has expanded to include the brain, with the realization that insulin has a life beyond the regulation of glucose. In other ways, it is the worst of times as insulin resistance is implicated in devastating diseases, including diabetes mellitus, obesity, and Alzheimer's disease (AD) that affect the brain. Peripheral insulin resistance affects nearly a quarter of the United States population in adults over age 20. More recently, it has been implicated in AD, with the degree of brain insulin resistance correlating with cognitive decline. This has led to the investigation of brain or central nervous system (CNS) insulin resistance and the question of the relation between CNS and peripheral insulin resistance. While both may involve dysregulated insulin signaling, the two conditions are not identical and not always interlinked. In this review, we compare and contrast the similarities and differences between peripheral and CNS insulin resistance. We also discuss how an apolipoprotein involved in insulin signaling and related to AD, apolipoprotein E (apoE), has distinct pools in the periphery and CNS and can indirectly affect each system. As these systems are both separated but also linked via the blood-brain barrier (BBB), we discuss the role of the BBB in mediating some of the connections between insulin resistance in the brain and in the peripheral tissues.
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Affiliation(s)
- Elizabeth M. Rhea
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA 98195, USA; (E.M.R.); (W.A.B.)
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA
| | - William A. Banks
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA 98195, USA; (E.M.R.); (W.A.B.)
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA
| | - Jacob Raber
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA
- Departments of Neurology and Radiation Medicine, Division of Neuroscience, ONPRC, Oregon Health & Science University, Portland, OR 97239, USA
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14
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Brain effect of bariatric surgery in people with obesity. Int J Obes (Lond) 2022; 46:1671-1677. [PMID: 35729365 DOI: 10.1038/s41366-022-01162-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/09/2022] [Accepted: 06/01/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES The link between obesity and brain function is a fascinating but still an enigmatic topic. We evaluated the effect of Roux-en-Y gastric bypass (RYGB) on peripheral glucose metabolism, insulin sensitivity, brain glucose utilization and cognitive abilities in people with obesity. SUBJECTS/METHODS Thirteen subjects with obesity (F/M 11/2; age 44.4 ± 9.8 years; BMI 46.1 ± 4.9 kg/m2) underwent 75-g OGTT during a [18F]FDG dynamic brain PET/CT study at baseline and 6 months after RYGB. At the same timepoints, cognitive performance was tested with Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Trail making test (TMT) and Token test (TT). Glucose, insulin, C-peptide, GLP-1, GIP, and VIP levels were measured during OGTT. Leptin and BDNF levels were measured before glucose ingestion. RESULTS RYGB resulted in significant weight loss (from 46.1 ± 4.9 to 35.3 ± 5.0 kg/m2; p < 0.01 vs baseline). Insulin sensitivity improved (disposition index: from 1.1 ± 0.2 to 2.9 ± 1.1; p = 0.02) and cerebral glucose metabolic rate (CMRg) declined in various brain areas (all p ≤ 0.01). MMSE and MoCA score significantly improved (p = 0.001 and p = 0.002, respectively). TMT and TT scores showed a slight improvement. A positive correlation was found between CMRg change and HOMA-IR change in the caudate nucleus (ρ = 0.65, p = 0.01). Fasting leptin decreased (from 80.4 ± 13.0 to 16.1 ± 2.4 ng/dl; p = 0.001) and correlated with CMRg change in the hippocampus (ρ = 0.50; p = 0.008). CMRg change was correlated with cognitive scores changes on the TMT and TT (all p = 0.04 or less). CONCLUSIONS Bariatric surgery improves CMRg directly related to a better cognitive testing result. This study highlights the potential pleiotropic effects of bariatric surgery. TRIAL REGISTRY NUMBER NCT03414333.
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15
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Chakrabarty R, Yousuf S, Singh MP. Contributive Role of Hyperglycemia and Hypoglycemia Towards the Development of Alzheimer's Disease. Mol Neurobiol 2022; 59:4274-4291. [PMID: 35503159 DOI: 10.1007/s12035-022-02846-y] [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: 02/17/2022] [Accepted: 04/20/2022] [Indexed: 11/30/2022]
Abstract
Alzheimer's disease (AD) is one of the causes of dementia that results from several infections/biological conditions leading to either cell disruption or loss of neuronal communication. Studies have documented the accumulation of two proteins, beta-amyloid (Aβ), which accumulates on the exteriors of neurons, and tau (Tau), which assembles at the interiors of brain cells and is chiefly liable for the progression of the disease. Several molecular and cellular pathways account for the accumulation of amyloid-β and the formation of neurofibrillary tangles, which are phosphorylated variants of Tau protein. Moreover, research has revealed a potential connection between AD and diabetes. It has also been demonstrated that both hypoglycemia and hyperglycemia have a significant role in the development of AD. In addition, SUMO (small ubiquitin-like modifier protein) plays a crucial role in the pathogenesis of AD. SUMOylation is the process by which modification of amyloid precursor protein (APP) and Tau takes place. Furthermore, Drosophila melanogaster has proven to be an efficient model organism in studies to establish the relationship between AD and variations in blood glucose levels. In addition, the review successfully identifies the common pathway that links the effects of fluctuations in glucose levels on AD pathogenesis and advancements.
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Affiliation(s)
- Riya Chakrabarty
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar-Ludhiana National Highway, Phagwara, Punjab, 144411, India
| | - Sumaira Yousuf
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar-Ludhiana National Highway, Phagwara, Punjab, 144411, India
| | - Mahendra P Singh
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar-Ludhiana National Highway, Phagwara, Punjab, 144411, India.
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16
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Natali A, Nesti L. Vascular effects of insulin. Metabolism 2021; 124:154891. [PMID: 34563557 DOI: 10.1016/j.metabol.2021.154891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/13/2021] [Accepted: 09/20/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Andrea Natali
- Metabolism, Nutrition and Atherosclerosis Laboratory, Department of Clinical and Experimental Medicine, University of Pisa, Italy.
| | - Lorenzo Nesti
- Metabolism, Nutrition and Atherosclerosis Laboratory, Department of Clinical and Experimental Medicine, University of Pisa, Italy
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17
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Yassine HN, Solomon V, Thakral A, Sheikh-Bahaei N, Chui HC, Braskie MN, Schneider LS, Talbot K. Brain energy failure in dementia syndromes: Opportunities and challenges for glucagon-like peptide-1 receptor agonists. Alzheimers Dement 2021; 18:478-497. [PMID: 34647685 PMCID: PMC8940606 DOI: 10.1002/alz.12474] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/11/2021] [Accepted: 08/11/2021] [Indexed: 12/12/2022]
Abstract
Medications for type 2 diabetes (T2DM) offer a promising path for discovery and development of effective interventions for dementia syndromes. A common feature of dementia syndromes is an energy failure due to reduced energy supply to neurons and is associated with synaptic loss and results in cognitive decline and behavioral changes. Among diabetes medications, glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) promote protective effects on vascular, microglial, and neuronal functions. In this review, we present evidence from animal models, imaging studies, and clinical trials that support developing GLP‐1 RAs for dementia syndromes. The review examines how changes in brain energy metabolism differ in conditions of insulin resistance and T2DM from dementia and underscores the challenges that arise from the heterogeneity of dementia syndromes. The development of GLP‐1 RAs as dementia therapies requires a deeper understanding of the regional changes in brain energy homeostasis guided by novel imaging biomarkers.
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Affiliation(s)
- Hussein N Yassine
- Department of Medicine, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA.,Department of Neurology, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Victoria Solomon
- Department of Medicine, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Angad Thakral
- Department of Medicine, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Nasim Sheikh-Bahaei
- Department of Radiology, Keck School of Medicine USC, Los Angeles, California, USA
| | - Helena C Chui
- Department of Neurology, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Meredith N Braskie
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, USC, Los Angeles, California, USA
| | - Lon S Schneider
- Department of Neurology, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA.,Department of Psychiatry and Behavioral Sciences, Keck School of Medicine USC, Los Angeles, California, USA
| | - Konrad Talbot
- Departments of Neurosurgery, Pathology and Human Anatomy, and Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, USA
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18
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Ennis GE, Kohli A, Jonaitis EM, Betthauser TJ, Oh JM, Taylor CE, Chin N, Koscik RL, Christian BT, Asthana S, Johnson SC, Bendlin BB. The relationship of glucose-stimulated insulin secretion to cerebral glucose metabolism and cognition in healthy middle-aged and older adults. Neurobiol Aging 2021; 105:174-185. [PMID: 34091125 PMCID: PMC8338794 DOI: 10.1016/j.neurobiolaging.2021.04.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 11/04/2020] [Accepted: 04/27/2021] [Indexed: 01/04/2023]
Abstract
Insulin resistance (IR) has been related to reduced cerebral glucose metabolism in regions identified as hypometabolic in Alzheimer's clinical syndrome. Insulin secretion (IS) has been less studied than IR despite findings that decreased IS is an early indicator of future type 2 diabetes and a potential predictor of Alzheimer's clinical syndrome. We investigated whether higher IR and lower IS would be associated with greater age-related reductions in regional cerebral glucose metabolism and worse cognitive performance. Two-hour oral glucose tolerance testing and 18F-fluorodeoxyglucose positron emission tomography were performed on 1-2 occasions on a sample of healthy middle-aged and older adults from the Wisconsin Alzheimer's Disease Research Center. Neuropsychological tests were completed during Alzheimer's Disease Research Center Clinical Core visits. Pattern of findings suggested that lower (not higher) IS was related to higher regional cerebral glucose metabolism in middle aged but not older adults, and lower (not higher) IS was also related to better immediate recall. In the context of healthy insulin sensitivity, lower IS may be beneficial to brain health.
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Affiliation(s)
- Gilda E Ennis
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
| | - Akshay Kohli
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Erin M Jonaitis
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Tobey J Betthauser
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jennifer M Oh
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Chase E Taylor
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Nathaniel Chin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca L Koscik
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Bradley T Christian
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, USA
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19
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Scherer T, Sakamoto K, Buettner C. Brain insulin signalling in metabolic homeostasis and disease. Nat Rev Endocrinol 2021; 17:468-483. [PMID: 34108679 DOI: 10.1038/s41574-021-00498-x] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/22/2021] [Indexed: 02/06/2023]
Abstract
Insulin signalling in the central nervous system regulates energy homeostasis by controlling metabolism in several organs and by coordinating organ crosstalk. Studies performed in rodents, non-human primates and humans over more than five decades using intracerebroventricular, direct hypothalamic or intranasal application of insulin provide evidence that brain insulin action might reduce food intake and, more importantly, regulates energy homeostasis by orchestrating nutrient partitioning. This Review discusses the metabolic pathways that are under the control of brain insulin action and explains how brain insulin resistance contributes to metabolic disease in obesity, the metabolic syndrome and type 2 diabetes mellitus.
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Affiliation(s)
- Thomas Scherer
- Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
| | - Kenichi Sakamoto
- Division of Endocrinology, Metabolism & Nutrition, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Christoph Buettner
- Division of Endocrinology, Metabolism & Nutrition, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
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20
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Almby KE, Lundqvist MH, Abrahamsson N, Kvernby S, Fahlström M, Pereira MJ, Gingnell M, Karlsson FA, Fanni G, Sundbom M, Wiklund U, Haller S, Lubberink M, Wikström J, Eriksson JW. Effects of Gastric Bypass Surgery on the Brain: Simultaneous Assessment of Glucose Uptake, Blood Flow, Neural Activity, and Cognitive Function During Normo- and Hypoglycemia. Diabetes 2021; 70:1265-1277. [PMID: 33674408 PMCID: PMC8275889 DOI: 10.2337/db20-1172] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/25/2021] [Indexed: 12/15/2022]
Abstract
While Roux-en-Y gastric bypass (RYGB) surgery in obese individuals typically improves glycemic control and prevents diabetes, it also frequently causes asymptomatic hypoglycemia. Previous work showed attenuated counterregulatory responses following RYGB. The underlying mechanisms as well as the clinical consequences are unclear. In this study, 11 subjects without diabetes with severe obesity were investigated pre- and post-RYGB during hyperinsulinemic normo-hypoglycemic clamps. Assessments were made of hormones, cognitive function, cerebral blood flow by arterial spin labeling, brain glucose metabolism by 18F-fluorodeoxyglucose (FDG) positron emission tomography, and activation of brain networks by functional MRI. Post- versus presurgery, we found a general increase of cerebral blood flow but a decrease of total brain FDG uptake during normoglycemia. During hypoglycemia, there was a marked increase in total brain FDG uptake, and this was similar for post- and presurgery, whereas hypothalamic FDG uptake was reduced during hypoglycemia. During hypoglycemia, attenuated responses of counterregulatory hormones and improvements in cognitive function were seen postsurgery. In early hypoglycemia, there was increased activation post- versus presurgery of neural networks in brain regions implicated in glucose regulation, such as the thalamus and hypothalamus. The results suggest adaptive responses of the brain that contribute to lowering of glycemia following RYGB, and the underlying mechanisms should be further elucidated.
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Affiliation(s)
- Kristina E Almby
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Martin H Lundqvist
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Niclas Abrahamsson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Sofia Kvernby
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Markus Fahlström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Maria J Pereira
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Malin Gingnell
- Department of Neurosciences and Department of Psychology, Uppsala University, Uppsala, Sweden
| | - F Anders Karlsson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Giovanni Fanni
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Magnus Sundbom
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Urban Wiklund
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Sven Haller
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Mark Lubberink
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Wikström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Jan W Eriksson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
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Rebelos E, Rinne JO, Nuutila P, Ekblad LL. Brain Glucose Metabolism in Health, Obesity, and Cognitive Decline-Does Insulin Have Anything to Do with It? A Narrative Review. J Clin Med 2021; 10:jcm10071532. [PMID: 33917464 PMCID: PMC8038699 DOI: 10.3390/jcm10071532] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 12/13/2022] Open
Abstract
Imaging brain glucose metabolism with fluorine-labelled fluorodeoxyglucose ([18F]-FDG) positron emission tomography (PET) has long been utilized to aid the diagnosis of memory disorders, in particular in differentiating Alzheimer’s disease (AD) from other neurological conditions causing cognitive decline. The interest for studying brain glucose metabolism in the context of metabolic disorders has arisen more recently. Obesity and type 2 diabetes—two diseases characterized by systemic insulin resistance—are associated with an increased risk for AD. Along with the well-defined patterns of fasting [18F]-FDG-PET changes that occur in AD, recent evidence has shown alterations in fasting and insulin-stimulated brain glucose metabolism also in obesity and systemic insulin resistance. Thus, it is important to clarify whether changes in brain glucose metabolism are just an epiphenomenon of the pathophysiology of the metabolic and neurologic disorders, or a crucial determinant of their pathophysiologic cascade. In this review, we discuss the current knowledge regarding alterations in brain glucose metabolism, studied with [18F]-FDG-PET from metabolic disorders to AD, with a special focus on how manipulation of insulin levels affects brain glucose metabolism in health and in systemic insulin resistance. A better understanding of alterations in brain glucose metabolism in health, obesity, and neurodegeneration, and the relationships between insulin resistance and central nervous system glucose metabolism may be an important step for the battle against metabolic and cognitive disorders.
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Affiliation(s)
- Eleni Rebelos
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland; (E.R.); (J.O.R.); (P.N.)
| | - Juha O. Rinne
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland; (E.R.); (J.O.R.); (P.N.)
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland; (E.R.); (J.O.R.); (P.N.)
- Department of Endocrinology, Turku University Hospital, 20520 Turku, Finland
| | - Laura L. Ekblad
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland; (E.R.); (J.O.R.); (P.N.)
- Correspondence: ; Tel.: +358-2-3138721
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22
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Daily JW, Kang S, Park S. Protection against Alzheimer's disease by luteolin: Role of brain glucose regulation, anti-inflammatory activity, and the gut microbiota-liver-brain axis. Biofactors 2021; 47:218-231. [PMID: 33347668 DOI: 10.1002/biof.1703] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/03/2020] [Indexed: 12/26/2022]
Abstract
Luteolin is a widely distributed flavone herbs and vegetables. It has anti-oxidant and anti-inflammatory activities and improves glucose metabolism by potentiating insulin sensitivity and improving β-cell function and mass. Alzheimer's disease (AD) is induced by the deposition of amyloid-beta (Aβ) in the hippocampus and the formation of neurotoxic Aβ plaques. The Aβ deposition is associated with increased formation of Aβ from amyloid precursor protein by up-regulation of β-secretase and β-site amyloid precursor protein-cleaving enzyme 1 (BACE1). Furthermore, Aβ accumulation is increased by brain insulin resistance. The impairment of insulin/IGF-1 signaling mainly in the hippocampus and brain insulin resistance is connected to signals originating in the liver and gut microbiota, known as the gut microbiota-liver-brain axis. This indicates that the changes in the production of short-chain fatty acids by the gut microbiota and pro-inflammatory cytokines can alter insulin resistance in the liver and brain. Luteolin is detected in the brain tissues after passing through the blood-brain barrier, where it can directly influence neuroinflammation and brain insulin resistance and modulate Aβ deposition. Luteolin (10-70 mg/kg bw for rodents) can modulate the systemic and brain insulin resistance, and it suppresses AD development directly, and it influences Aβ deposition by activation of the gut microbiota-liver-brain axis. In this review, we evaluate the potential of luteolin to mitigate two potential causes of AD, neuroinflammatory processes, and disruption of glucose metabolism in the brain. This review suggests that luteolin intake can enhance brain insulin resistance and neuroinflammation, directly and indirectly, to protect against the development of Alzheimer's-like disease, and the gut microbiota-liver-brain axis is mainly involved in the indirect pathway. However, most studies have been conducted in animal studies, and human clinical trials are needed.
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Affiliation(s)
- James W Daily
- Department of R&D, Daily Manufacturing Inc, Rockwell, North Carolina, USA
| | - Suna Kang
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
| | - Sunmin Park
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
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23
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Rebelos E, Bucci M, Karjalainen T, Oikonen V, Bertoldo A, Hannukainen JC, Virtanen KA, Latva-Rasku A, Hirvonen J, Heinonen I, Parkkola R, Laakso M, Ferrannini E, Iozzo P, Nummenmaa L, Nuutila P. Insulin Resistance Is Associated With Enhanced Brain Glucose Uptake During Euglycemic Hyperinsulinemia: A Large-Scale PET Cohort. Diabetes Care 2021; 44:788-794. [PMID: 33446523 PMCID: PMC7896252 DOI: 10.2337/dc20-1549] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 12/04/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Whereas insulin resistance is expressed as reduced glucose uptake in peripheral tissues, the relationship between insulin resistance and brain glucose metabolism remains controversial. Our aim was to examine the association of insulin resistance and brain glucose uptake (BGU) during a euglycemic hyperinsulinemic clamp in a large sample of study participants across a wide range of age and insulin sensitivity. RESEARCH DESIGN AND METHODS [18F]-fluorodeoxyglucose positron emission tomography (PET) data from 194 participants scanned under clamp conditions were compiled from a single-center cohort. BGU was quantified by the fractional uptake rate. We examined the association of age, sex, M value from the clamp, steady-state insulin and free fatty acid levels, C-reactive protein levels, HbA1c, and presence of type 2 diabetes with BGU using Bayesian hierarchical modeling. RESULTS Insulin sensitivity, indexed by the M value, was associated negatively with BGU in all brain regions, confirming that in insulin-resistant participants BGU was enhanced during euglycemic hyperinsulinemia. In addition, the presence of type 2 diabetes was associated with additional increase in BGU. On the contrary, age was negatively related to BGU. Steady-state insulin levels, C-reactive protein and free fatty acid levels, sex, and HbA1c were not associated with BGU. CONCLUSIONS In this large cohort of participants of either sex across a wide range of age and insulin sensitivity, insulin sensitivity was the best predictor of BGU.
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Affiliation(s)
- Eleni Rebelos
- Turku PET Centre, University of Turku, Turku, Finland
| | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland
| | | | - Vesa Oikonen
- Turku PET Centre, University of Turku, Turku, Finland
| | | | | | - Kirsi A Virtanen
- Turku PET Centre, University of Turku, Turku, Finland.,Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | | | - Jussi Hirvonen
- Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland
| | - Ilkka Heinonen
- Turku PET Centre, University of Turku, Turku, Finland.,Rydberg Laboratory of Applied Sciences, University of Halmstad, Halmstad, Sweden
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ele Ferrannini
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Patricia Iozzo
- Turku PET Centre, University of Turku, Turku, Finland.,Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Lauri Nummenmaa
- Turku PET Centre, University of Turku, Turku, Finland.,Department of Psychology, University of Turku, Turku, Finland
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland .,Department of Endocrinology, Turku University Hospital, Turku, Finland
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24
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Malbert CH, Val-Laillet D, Meurice P, Lallès JP, Delarue J. Contrasted central effects of n-3 versus n-6 diets on brain functions in diet-induced obesity in minipigs. Nutr Neurosci 2021; 25:1453-1465. [PMID: 33427097 DOI: 10.1080/1028415x.2020.1866881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
INTRODUCTION N3 polyunsaturated fatty acids (n-3 PUFAs) exert anti-inflammatory effects for the hypothalamus, but their extra-hypothalamic outcome lack documentation. We evaluated the central consequences of the substitution of saturated fatty acids with n-3 or n-6 PUFA in obesogenic diets. METHODS Twenty-one miniature pigs were fed ad libitum obesogenic diets enriched in fat provided either as lard, fish oil (source for n-3 PUFAs), or sunflower oil (source for n-6 PUFAs) for ten weeks. The blood-brain barrier (BBB) permeability was quantified by CT perfusion. Central autonomic network was evaluated using heart rate variability, and PET 18FDG was performed to assess brain metabolism. RESULTS BBB permeability was higher in lard group, but heart rate variability changed only in fish oil group. Brain connectivity analysis and voxel-based comparisons show regional differences between groups except for the cingulate cortex in fish oil vs. sunflower oil groups. DISCUSSION : The minute changes in brain metabolism in obese pigs feed with fish oil compared with saturated fatty acids were sufficient to induce detrimental changes in heart rate variability. On the contrary, the BBB's decreased permeability in n-3 and n-6 PUFAs groups was protective against an obesity-driven damaged BBB.
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Affiliation(s)
| | - David Val-Laillet
- INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Saint-Gilles, France
| | - Paul Meurice
- INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Saint-Gilles, France
| | - Jean-Paul Lallès
- Division of Human Nutrition, INRAE, SDAR, Domaine de la Motte, Le Rheu, France
| | - Jacques Delarue
- Department of Nutritional Sciences & Laboratory of Human Nutrition, Hospital University/Faculty of Medicine/University of Brest, France
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25
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Wang T, Wang J, Hu X, Huang XJ, Chen GX. Current understanding of glucose transporter 4 expression and functional mechanisms. World J Biol Chem 2020; 11:76-98. [PMID: 33274014 PMCID: PMC7672939 DOI: 10.4331/wjbc.v11.i3.76] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 08/22/2020] [Accepted: 09/22/2020] [Indexed: 02/05/2023] Open
Abstract
Glucose is used aerobically and anaerobically to generate energy for cells. Glucose transporters (GLUTs) are transmembrane proteins that transport glucose across the cell membrane. Insulin promotes glucose utilization in part through promoting glucose entry into the skeletal and adipose tissues. This has been thought to be achieved through insulin-induced GLUT4 translocation from intracellular compartments to the cell membrane, which increases the overall rate of glucose flux into a cell. The insulin-induced GLUT4 translocation has been investigated extensively. Recently, significant progress has been made in our understanding of GLUT4 expression and translocation. Here, we summarized the methods and reagents used to determine the expression levels of Slc2a4 mRNA and GLUT4 protein, and GLUT4 translocation in the skeletal muscle, adipose tissues, heart and brain. Overall, a variety of methods such real-time polymerase chain reaction, immunohistochemistry, fluorescence microscopy, fusion proteins, stable cell line and transgenic animals have been used to answer particular questions related to GLUT4 system and insulin action. It seems that insulin-induced GLUT4 translocation can be observed in the heart and brain in addition to the skeletal muscle and adipocytes. Hormones other than insulin can induce GLUT4 translocation. Clearly, more studies of GLUT4 are warranted in the future to advance of our understanding of glucose homeostasis.
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Affiliation(s)
- Tiannan Wang
- Department of Nutrition, The University of Tennessee, Knoxville, TN 37996, United States
| | - Jing Wang
- College of Pharmacy, South-Central University for Nationalities, Wuhan 430074, Hubei Province, China
| | - Xinge Hu
- Department of Nutrition, The University of Tennessee, Knoxville, TN 37996, United States
| | - Xian-Ju Huang
- College of Pharmacy, South-Central University for Nationalities, Wuhan 430074, Hubei Province, China
| | - Guo-Xun Chen
- Department of Nutrition, The University of Tennessee, Knoxville, TN 37996, United States
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26
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Rebelos E, Nummenmaa L, Dadson P, Latva-Rasku A, Nuutila P. Brain insulin sensitivity is linked to body fat distribution-the positron emission tomography perspective. Eur J Nucl Med Mol Imaging 2020; 48:966-968. [PMID: 33029655 PMCID: PMC8041695 DOI: 10.1007/s00259-020-05064-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/01/2020] [Indexed: 12/01/2022]
Affiliation(s)
- Eleni Rebelos
- Department of Endocrinology, Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Lauri Nummenmaa
- Department of Endocrinology, Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Prince Dadson
- Department of Endocrinology, Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Aino Latva-Rasku
- Department of Endocrinology, Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Pirjo Nuutila
- Department of Endocrinology, Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland.
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27
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Dodd GT, Xirouchaki CE, Eramo M, Mitchell CA, Andrews ZB, Henry BA, Cowley MA, Tiganis T. Intranasal Targeting of Hypothalamic PTP1B and TCPTP Reinstates Leptin and Insulin Sensitivity and Promotes Weight Loss in Obesity. Cell Rep 2020; 28:2905-2922.e5. [PMID: 31509751 DOI: 10.1016/j.celrep.2019.08.019] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/29/2019] [Accepted: 08/02/2019] [Indexed: 12/11/2022] Open
Abstract
The importance of hypothalamic leptin and insulin resistance in the development and maintenance of obesity remains unclear. The tyrosine phosphatases protein tyrosine phosphatase 1B (PTP1B) and T cell protein tyrosine phosphatase (TCPTP) attenuate leptin and insulin signaling and are elevated in the hypothalami of obese mice. We report that elevated PTP1B and TCPTP antagonize hypothalamic leptin and insulin signaling and contribute to the maintenance of obesity. Deletion of PTP1B and TCPTP in the hypothalami of obese mice enhances CNS leptin and insulin sensitivity, represses feeding, and increases browning, to decrease adiposity and improve glucose metabolism. The daily intranasal administration of a PTP1B inhibitor, plus the glucocorticoid antagonist RU486 that decreases TCPTP expression, represses feeding, increases browning, promotes weight loss, and improves glucose metabolism in obese mice. Our findings causally link heightened hypothalamic PTP1B and TCPTP with leptin and insulin resistance and the maintenance of obesity and define a viable pharmacological approach by which to promote weight loss in obesity.
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Affiliation(s)
- Garron T Dodd
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Chrysovalantou E Xirouchaki
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Matthew Eramo
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Christina A Mitchell
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Zane B Andrews
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Physiology, Monash University, VIC 3800, Australia
| | - Belinda A Henry
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Physiology, Monash University, VIC 3800, Australia
| | - Michael A Cowley
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Physiology, Monash University, VIC 3800, Australia
| | - Tony Tiganis
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia; Monash Metabolic Phenotyping Facility, Monash University, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
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28
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Disturbances in brain energy metabolism in insulin resistance and diabetes and Alzheimer's disease - Learnings from brain imaging biomarkers. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2020; 154:111-130. [PMID: 32739001 DOI: 10.1016/bs.irn.2020.02.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Medical imaging techniques, such as structural and functional magnetic resonance imaging and positron emission tomography, have been used to gain a better understanding of the alterations of the metabolic processes in the brain relating to type 2 diabetes melltius, insulin resistance and Alzheimer's disease. These studies have shown that there are several similarities in the effects that these seemingly disparate diseases have on the brain, and that some of the abnormalities are reversed by metabolic interventions. This review provides an overview of the overlap between these diseases using medical imaging, focusing on glucose metabolism, mitochondrial function and lipid metabolism.
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29
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Kullmann S, Kleinridders A, Small DM, Fritsche A, Häring HU, Preissl H, Heni M. Central nervous pathways of insulin action in the control of metabolism and food intake. Lancet Diabetes Endocrinol 2020; 8:524-534. [PMID: 32445739 DOI: 10.1016/s2213-8587(20)30113-3] [Citation(s) in RCA: 108] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 01/22/2020] [Accepted: 03/20/2020] [Indexed: 12/18/2022]
Abstract
Insulin acts on the CNS to modulate behaviour and systemic metabolism. Disturbances in brain insulin action represent a possible link between metabolic and cognitive health. Current findings from human research suggest that boosting central insulin action in the brain modulates peripheral metabolism, enhancing whole-body insulin sensitivity and suppressing endogenous glucose production. Moreover, central insulin action curbs food intake by reducing the salience of highly palatable food cues and increasing cognitive control. Animal models show that the mesocorticolimbic circuitry is finely tuned in response to insulin, driven mainly by the dopamine system. These mechanisms are impaired in people with obesity, which might increase their risk of developing type 2 diabetes and associated diseases. Overall, current findings highlight the role of insulin action in the brain and its consequences on peripheral metabolism and cognition. Hence, improving central insulin action could represent a therapeutic option for people at an increased risk of developing metabolic and cognitive diseases.
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Affiliation(s)
- Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology, and Nephrology, Eberhard Karls University of Tübingen, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany.
| | - André Kleinridders
- German Center for Diabetes Research, Neuherberg, Germany; Central Regulation of Metabolism, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Dana M Small
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Psychiatry, Yale University, New Haven, CT, USA; Modern Diet and Physiology Research Centre, Yale University, New Haven, CT, USA
| | - Andreas Fritsche
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology, and Nephrology, Eberhard Karls University of Tübingen, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany
| | - Hans-Ulrich Häring
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University of Tübingen, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology, and Nephrology, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Pharmacy and Biochemistry, Interfaculty Centre for Pharmacogenomics and Pharma Research, Eberhard Karls University of Tübingen, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Martin Heni
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology, and Nephrology, Eberhard Karls University of Tübingen, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany
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30
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Klén R, Honka MJ, Hannukainen JC, Huovinen V, Bucci M, Latva-Rasku A, Venäläinen MS, Kalliokoski KK, Virtanen KA, Lautamäki R, Iozzo P, Elo LL, Nuutila P. Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling. J Endocr Soc 2020; 4:bvaa026. [PMID: 32232183 PMCID: PMC7093091 DOI: 10.1210/jendso/bvaa026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 03/08/2020] [Indexed: 01/22/2023] Open
Abstract
PURPOSE Abnormal lipoprotein and amino acid profiles are associated with insulin resistance and may help to identify this condition. The aim of this study was to create models estimating skeletal muscle and whole-body insulin sensitivity using fasting metabolite profiles and common clinical and laboratory measures. MATERIAL AND METHODS The cross-sectional study population included 259 subjects with normal or impaired fasting glucose or type 2 diabetes in whom skeletal muscle and whole-body insulin sensitivity (M-value) were measured during euglycemic hyperinsulinemic clamp. Muscle glucose uptake (GU) was measured directly using [18F]FDG-PET. Serum metabolites were measured using nuclear magnetic resonance (NMR) spectroscopy. We used linear regression to build the models for the muscle GU (Muscle-insulin sensitivity index [ISI]) and M-value (whole-body [WB]-ISI). The models were created and tested using randomly selected training (n = 173) and test groups (n = 86). The models were compared to common fasting indices of insulin sensitivity, homeostatic model assessment-insulin resistance (HOMA-IR) and the revised quantitative insulin sensitivity check index (QUICKI). RESULTS WB-ISI had higher correlation with actual M-value than HOMA-IR or revised QUICKI (ρ = 0.83 vs -0.67 and 0.66; P < 0.05 for both comparisons), whereas the correlation of Muscle-ISI with the actual skeletal muscle GU was not significantly stronger than HOMA-IR's or revised QUICKI's (ρ = 0.67 vs -0.58 and 0.59; both nonsignificant) in the test dataset. CONCLUSION Muscle-ISI and WB-ISI based on NMR-metabolomics and common laboratory measurements from fasting serum samples and basic anthropometrics are promising rapid and inexpensive tools for determining insulin sensitivity in at-risk individuals.
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Affiliation(s)
- Riku Klén
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
- Turku PET Centre, University of Turku, Turku, Finland
| | | | | | - Ville Huovinen
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Radiology, Turku University Hospital, Turku, Finland
- Department of Radiology, University of Turku, Turku, Finland
| | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Åbo Akademi University, Turku, Finland
| | | | - Mikko S Venäläinen
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | | | - Kirsi A Virtanen
- Turku PET Centre, University of Turku, Turku, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland
| | - Riikka Lautamäki
- Turku PET Centre, University of Turku, Turku, Finland
- Heart Centre, Turku University Hospital, Turku, Finland
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Laura L Elo
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
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31
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Guglielmo P, Ekström S, Strand R, Visvanathar R, Malmberg F, Johansson E, Pereira MJ, Skrtic S, Carlsson BCL, Eriksson JW, Ahlström H, Kullberg J. Validation of automated whole-body analysis of metabolic and morphological parameters from an integrated FDG-PET/MRI acquisition. Sci Rep 2020; 10:5331. [PMID: 32210327 PMCID: PMC7093440 DOI: 10.1038/s41598-020-62353-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 03/11/2020] [Indexed: 11/09/2022] Open
Abstract
Automated quantification of tissue morphology and tracer uptake in PET/MR images could streamline the analysis compared to traditional manual methods. To validate a single atlas image segmentation approach for automated assessment of tissue volume, fat content (FF) and glucose uptake (GU) from whole-body [18F]FDG-PET/MR images. Twelve subjects underwent whole-body [18F]FDG-PET/MRI during hyperinsulinemic-euglycemic clamp. Automated analysis of tissue volumes, FF and GU were achieved using image registration to a single atlas image with reference segmentations of 18 volume of interests (VOIs). Manual segmentations by an experienced radiologist were used as reference. Quantification accuracy was assessed with Dice scores, group comparisons and correlations. VOI Dice scores ranged from 0.93 to 0.32. Muscles, brain, VAT and liver showed the highest scores. Pancreas, large and small intestines demonstrated lower segmentation accuracy and poor correlations. Estimated tissue volumes differed significantly in 8 cases. Tissue FFs were often slightly but significantly overestimated. Satisfactory agreements were observed in most tissue GUs. Automated tissue identification and characterization using a single atlas segmentation performs well compared to manual segmentation in most tissues and will be valuable in future studies. In certain tissues, alternative quantification methods or improvements to the current approach is needed.
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Affiliation(s)
- P Guglielmo
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
- University of Milan Bicocca, Milan, Italy.
| | - S Ekström
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - R Strand
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - R Visvanathar
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - F Malmberg
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - E Johansson
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- GE Healthcare, Chicago, USA
| | - M J Pereira
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - S Skrtic
- Pharmaceutical Technology & Development, AstraZeneca AB, Gothenburg, Sweden
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - B C L Carlsson
- Early Clinical Development, Cardiovascular, Renal & Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - J W Eriksson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - H Ahlström
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical, Mölndal, Sweden
| | - J Kullberg
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical, Mölndal, Sweden
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32
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Garcia-Serrano AM, Duarte JMN. Brain Metabolism Alterations in Type 2 Diabetes: What Did We Learn From Diet-Induced Diabetes Models? Front Neurosci 2020; 14:229. [PMID: 32265637 PMCID: PMC7101159 DOI: 10.3389/fnins.2020.00229] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 03/02/2020] [Indexed: 12/27/2022] Open
Abstract
Type 2 diabetes (T2D) is a metabolic disease with impact on brain function through mechanisms that include glucose toxicity, vascular damage and blood–brain barrier (BBB) impairments, mitochondrial dysfunction, oxidative stress, brain insulin resistance, synaptic failure, neuroinflammation, and gliosis. Rodent models have been developed for investigating T2D, and have contributed to our understanding of mechanisms involved in T2D-induced brain dysfunction. Namely, mice or rats exposed to diabetogenic diets that are rich in fat and/or sugar have been widely used since they develop memory impairment, especially in tasks that depend on hippocampal processing. Here we summarize main findings on brain energy metabolism alterations underlying dysfunction of neuronal and glial cells promoted by diet-induced metabolic syndrome that progresses to a T2D phenotype.
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Affiliation(s)
- Alba M Garcia-Serrano
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden.,Wallenberg Centre for Molecular Medicine, Faculty of Medicine, Lund University, Lund, Sweden
| | - João M N Duarte
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden.,Wallenberg Centre for Molecular Medicine, Faculty of Medicine, Lund University, Lund, Sweden
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33
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McNay EC, Pearson-Leary J. GluT4: A central player in hippocampal memory and brain insulin resistance. Exp Neurol 2020; 323:113076. [PMID: 31614121 PMCID: PMC6936336 DOI: 10.1016/j.expneurol.2019.113076] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/19/2019] [Accepted: 10/01/2019] [Indexed: 12/24/2022]
Abstract
Insulin is now well-established as playing multiple roles within the brain, and specifically as regulating hippocampal cognitive processes and metabolism. Impairments to insulin signaling, such as those seen in type 2 diabetes and Alzheimer's disease, are associated with brain hypometabolism and cognitive impairment, but the mechanisms of insulin's central effects are not determined. Several lines of research converge to suggest that the insulin-responsive glucose transporter GluT4 plays a central role in hippocampal memory processes, and that reduced activation of this transporter may underpin the cognitive impairments seen as a consequence of insulin resistance.
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Affiliation(s)
- Ewan C McNay
- Behavioral Neuroscience, University at Albany, Albany, NY, USA.
| | - Jiah Pearson-Leary
- Department of Anesthesiology, Abramson Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
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34
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Iozzo P, Guzzardi MA. Imaging of brain glucose uptake by PET in obesity and cognitive dysfunction: life-course perspective. Endocr Connect 2019; 8:R169-R183. [PMID: 31590145 PMCID: PMC6865363 DOI: 10.1530/ec-19-0348] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 10/07/2019] [Indexed: 12/17/2022]
Abstract
The prevalence of obesity has reached epidemic proportions and keeps growing. Obesity seems implicated in the pathogenesis of cognitive dysfunction, Alzheimer's disease and dementia, and vice versa. Growing scientific efforts are being devoted to the identification of central mechanisms underlying the frequent association between obesity and cognitive dysfunction. Glucose brain handling undergoes dynamic changes during the life-course, suggesting that its alterations might precede and contribute to degenerative changes or signaling abnormalities. Imaging of the glucose analog 18F-labeled fluorodeoxyglucose (18FDG) by positron emission tomography (PET) is the gold-standard for the assessment of cerebral glucose metabolism in vivo. This review summarizes the current literature addressing brain glucose uptake measured by PET imaging, and the effect of insulin on brain metabolism, trying to embrace a life-course vision in the identification of patterns that may explain (and contribute to) the frequent association between obesity and cognitive dysfunction. The current evidence supports that brain hypermetabolism and brain insulin resistance occur in selected high-risk conditions as a transient phenomenon, eventually evolving toward normal or low values during life or disease progression. Associative studies suggest that brain hypermetabolism predicts low BDNF levels, hepatic and whole body insulin resistance, food desire and an unfavorable balance between anticipated reward from food and cognitive inhibitory control. Emerging mechanistic links involve the microbiota and the metabolome, which correlate with brain metabolism and cognition, deserving attention as potential future prevention targets.
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Affiliation(s)
- Patricia Iozzo
- Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy
- Correspondence should be addressed to P Iozzo:
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35
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Chow HM, Shi M, Cheng A, Gao Y, Chen G, Song X, So RWL, Zhang J, Herrup K. Age-related hyperinsulinemia leads to insulin resistance in neurons and cell-cycle-induced senescence. Nat Neurosci 2019; 22:1806-1819. [DOI: 10.1038/s41593-019-0505-1] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 08/21/2019] [Indexed: 01/17/2023]
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36
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Li N, Yan QT, Jing Q, Pan RY, Wang HJ, Jiang B, Li XJ, Wang Y, Dong JH, Wang XJ, Zhang MJ, Meng QG, Li XZ, Liu ZJ, Gao ZQ, Qu MH. Duodenal-Jejunal Bypass Ameliorates Type 2 Diabetes Mellitus by Activating Insulin Signaling and Improving Glucose Utilization in the Brain. Obes Surg 2019; 30:279-289. [DOI: 10.1007/s11695-019-04153-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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37
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Malbert CH, Horowitz M, Young RL. Low-calorie sweeteners augment tissue-specific insulin sensitivity in a large animal model of obesity. Eur J Nucl Med Mol Imaging 2019; 46:2380-2391. [PMID: 31338548 DOI: 10.1007/s00259-019-04430-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 07/09/2019] [Indexed: 02/07/2023]
Abstract
PURPOSES Whether low-calorie sweeteners (LCS), such as sucralose and acesulfame K, can alter glucose metabolism is uncertain, particularly given the inconsistent observations relating to insulin resistance in recent human trials. We hypothesized that these discrepancies are accounted for by the surrogate tools used to evaluate insulin resistance and that PET 18FDG, given its capacity to quantify insulin sensitivity in individual organs, would be more sensitive in identifying changes in glucose metabolism. Accordingly, we performed a comprehensive evaluation of the effects of LCS on whole-body and organ-specific glucose uptake and insulin sensitivity in a large animal model of morbid obesity. METHODS Twenty mini-pigs with morbid obesity were fed an obesogenic diet enriched with LCS (sucralose 1 mg/kg/day and acesulfame K 0.5 mg/kg/day, LCS diet group), or without LCS (control group), for 3 months. Glucose uptake and insulin sensitivity were determined for the duodenum, liver, skeletal muscle, adipose tissue and brain using dynamic PET 18FDG scanning together with direct measurement of arterial input function. Body composition was also measured using CT imaging and energy metabolism quantified with indirect calorimetry. RESULTS The LCS diet increased subcutaneous abdominal fat by ≈ 20% without causing weight gain, and reduced insulin clearance by ≈ 40%, while whole-body glucose uptake and insulin sensitivity were unchanged. In contrast, glucose uptake in the duodenum, liver and brain increased by 57, 66 and 29% relative to the control diet group (P < 0.05 for all), while insulin sensitivity increased by 53, 55 and 28% (P < 0.05 for all), respectively. In the brain, glucose uptake increased significantly only in the frontal cortex, associated with improved metabolic connectivity towards the hippocampus and the amygdala. CONCLUSIONS In miniature pigs, the combination of sucralose and acesulfame K is biologically active. While not affecting whole-body insulin resistance, it increases insulin sensitivity and glucose uptake in specific tissues, mimicking the effects of obesity in the adipose tissue and in the brain.
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Affiliation(s)
- Charles-Henri Malbert
- Aniscan Unit, Department of Human Nutrition, INRA, 16, le clos, 35590, Saint-Gilles, France.
| | - Michael Horowitz
- Center of Research Excellence in Translating Nutrition to Good Health, The University of Adelaide, Adelaide, 5005, Australia
| | - Richard L Young
- Center of Research Excellence in Translating Nutrition to Good Health, The University of Adelaide, Adelaide, 5005, Australia
- Nutrition & Metabolism, South Australia Health & Medical Research Institute, Adelaide, 5000, Australia
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38
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Williams VJ, Trombetta BA, Jafri RZ, Koenig AM, Wennick CD, Carlyle BC, Ekhlaspour L, Ahima RS, Russell SJ, Salat DH, Arnold SE. Task-related fMRI BOLD response to hyperinsulinemia in healthy older adults. JCI Insight 2019; 5:129700. [PMID: 31211691 DOI: 10.1172/jci.insight.129700] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND There is growing evidence to suggest that the brain is an important target for insulin action, and that states of insulin resistance may extend to the CNS with detrimental effects on cognitive functioning. Although the effect of systemic insulin resistance on peripheral organs is well-studied, the degree to which insulin impacts brain function in vivo remains unclear. METHODS This randomized, single-blinded, 2-way-crossover, sham-controlled, pilot study determined the effects of hyperinsulinemia on fMRI brain activation during a 2-back working memory task in 9 healthy older adults (aged 57-79 years). Each participant underwent two clamp procedures (an insulin infusion and a saline placebo infusion, with normoglycemia maintained during both conditions), to examine the effects of hyperinsulinemia on task performance and associated blood-oxygen-level dependent (BOLD) signal using fMRI. RESULTS Hyperinsulinemia (compared to saline control) was associated with an increase in both the spatial extent and relative strength of task-related BOLD signal during the 2-back task. Further, the degree of increased task-related activation in select brain regions correlated with greater systemic insulin sensitivity, as well as decreased reaction times and performance accuracy between experimental conditions. CONCLUSION Together, these findings provide evidence of insulin action in the CNS among older adults during periods of sustained cognitive demand, with the greatest effects noted for individuals with highest systemic insulin sensitivity. FUNDING This work was funded by the National Institutes of Health (5R21AG051958, 2016).
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Affiliation(s)
- Victoria J Williams
- Department of Neurology, Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Bianca A Trombetta
- Department of Neurology, Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Rabab Z Jafri
- Diabetes Research Center and Pediatric Endocrine Unit and.,Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Aaron M Koenig
- Department of Neurology, Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Chase D Wennick
- Department of Neurology, Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Becky C Carlyle
- Department of Neurology, Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Laya Ekhlaspour
- Diabetes Research Center and Pediatric Endocrine Unit and.,Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Rexford S Ahima
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Steven J Russell
- Diabetes Research Center and Pediatric Endocrine Unit and.,Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - David H Salat
- Brain Aging and Dementia Laboratory, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Steven E Arnold
- Department of Neurology, Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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39
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Olver TD, Laughlin MH, Padilla J. Exercise and Vascular Insulin Sensitivity in the Skeletal Muscle and Brain. Exerc Sport Sci Rev 2019; 47:66-74. [PMID: 30883470 DOI: 10.1249/jes.0000000000000182] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
We present the hypothesis that exercise-induced hyperemia, perhaps through vascular shear stress, represents an important factor responsible for the effects of physical activity (PA) on vascular insulin sensitivity. Specifically, we postulate PA involving the greatest amount of skeletal muscle mass and the greatest central neural recruitment maximizes perfusion and consequently enhances vascular insulin sensitivity in the skeletal muscle and brain.
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Affiliation(s)
- T Dylan Olver
- Department of Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - M Harold Laughlin
- Department of Biomedical Sciences.,Dalton Cardiovascular Research Center
| | - Jaume Padilla
- Dalton Cardiovascular Research Center.,Department of Nutrition and Exercise Physiology, and.,Department of Child Health, University of Missouri, Columbia, MO
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40
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Soares AF, Nissen JD, Garcia‐Serrano AM, Nussbaum SS, Waagepetersen HS, Duarte JMN. Glycogen metabolism is impaired in the brain of male type 2 diabetic Goto‐Kakizaki rats. J Neurosci Res 2019; 97:1004-1017. [DOI: 10.1002/jnr.24437] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 04/15/2019] [Accepted: 04/15/2019] [Indexed: 12/19/2022]
Affiliation(s)
- Ana Francisca Soares
- Laboratory for Functional and Metabolic Imaging École Polytechnique Fédérale de Lausanne Lausanne Switzerland
| | - Jakob D. Nissen
- Faculty of Health and Medical Sciences, Department of Drug Design and Pharmacology University of Copenhagen Copenhagen Denmark
| | - Alba M. Garcia‐Serrano
- Faculty of Medicine, Department of Experimental Medical Science Lund University Lund Sweden
- Wallenberg Centre for Molecular Medicine Lund University Lund Sweden
| | - Sakura S. Nussbaum
- Laboratory for Functional and Metabolic Imaging École Polytechnique Fédérale de Lausanne Lausanne Switzerland
| | - Helle S. Waagepetersen
- Faculty of Health and Medical Sciences, Department of Drug Design and Pharmacology University of Copenhagen Copenhagen Denmark
| | - João M. N. Duarte
- Laboratory for Functional and Metabolic Imaging École Polytechnique Fédérale de Lausanne Lausanne Switzerland
- Faculty of Medicine, Department of Experimental Medical Science Lund University Lund Sweden
- Wallenberg Centre for Molecular Medicine Lund University Lund Sweden
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41
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Lundqvist MH, Almby K, Abrahamsson N, Eriksson JW. Is the Brain a Key Player in Glucose Regulation and Development of Type 2 Diabetes? Front Physiol 2019; 10:457. [PMID: 31133864 PMCID: PMC6524713 DOI: 10.3389/fphys.2019.00457] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 04/01/2019] [Indexed: 01/08/2023] Open
Abstract
Ever since Claude Bernards discovery in the mid 19th-century that a lesion in the floor of the third ventricle in dogs led to altered systemic glucose levels, a role of the CNS in whole-body glucose regulation has been acknowledged. However, this finding was later overshadowed by the isolation of pancreatic hormones in the 20th century. Since then, the understanding of glucose homeostasis and pathology has primarily evolved around peripheral mechanism. Due to scientific advances over these last few decades, however, increasing attention has been given to the possibility of the brain as a key player in glucose regulation and the pathogenesis of metabolic disorders such as type 2 diabetes. Studies of animals have enabled detailed neuroanatomical mapping of CNS structures involved in glucose regulation and key neuronal circuits and intracellular pathways have been identified. Furthermore, the development of neuroimaging techniques has provided methods to measure changes of activity in specific CNS regions upon diverse metabolic challenges in humans. In this narrative review, we discuss the available evidence on the topic. We conclude that there is much evidence in favor of active CNS involvement in glucose homeostasis but the relative importance of central vs. peripheral mechanisms remains to be elucidated. An increased understanding of this field may lead to new CNS-focusing pharmacologic strategies in the treatment of type 2 diabetes.
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Affiliation(s)
| | - Kristina Almby
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | | | - Jan W Eriksson
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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42
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Frazier HN, Ghoweri AO, Anderson KL, Lin RL, Porter NM, Thibault O. Broadening the definition of brain insulin resistance in aging and Alzheimer's disease. Exp Neurol 2019; 313:79-87. [PMID: 30576640 PMCID: PMC6370304 DOI: 10.1016/j.expneurol.2018.12.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 12/05/2018] [Accepted: 12/17/2018] [Indexed: 12/17/2022]
Abstract
It has been >20 years since studies first revealed that the brain is insulin sensitive, highlighted by the expression of insulin receptors in neurons and glia, the presence of circulating brain insulin, and even localized insulin production. Following these discoveries, evidence of decreased brain insulin receptor number and function was reported in both clinical samples and animal models of aging and Alzheimer's disease, setting the stage for the hypothesis that neuronal insulin resistance may underlie memory loss in these conditions. The development of therapeutic insulin delivery to the brain using intranasal insulin administration has been shown to improve aspects of memory or learning in both humans and animal models. However, whether this approach functions by compensating for poorly signaling insulin receptors, for reduced insulin levels in the brain, or for reduced trafficking of insulin into the brain remains unclear. Direct measures of insulin's impact on cellular physiology and metabolism in the brain have been sparse in models of Alzheimer's disease, and even fewer studies have analyzed these processes in the aged brain. Nevertheless, recent evidence supports the role of brain insulin as a mediator of glucose metabolism through several means, including altering glucose transporters. Here, we provide a review of contemporary literature on brain insulin resistance, highlight the rationale for improving memory function using intranasal insulin, and describe initial results from experiments using a molecular approach to more directly measure the impact of insulin receptor activation and signaling on glucose uptake in neurons.
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Affiliation(s)
- Hilaree N Frazier
- University of Kentucky, Department of Pharmacology and Nutritional Sciences, 800 Rose St., Lexington, KY 40536, United States.
| | - Adam O Ghoweri
- University of Kentucky, Department of Pharmacology and Nutritional Sciences, 800 Rose St., Lexington, KY 40536, United States.
| | - Katie L Anderson
- University of Kentucky, Department of Pharmacology and Nutritional Sciences, 800 Rose St., Lexington, KY 40536, United States.
| | - Ruei-Lung Lin
- University of Kentucky, Department of Pharmacology and Nutritional Sciences, 800 Rose St., Lexington, KY 40536, United States.
| | - Nada M Porter
- University of Kentucky, Department of Pharmacology and Nutritional Sciences, 800 Rose St., Lexington, KY 40536, United States.
| | - Olivier Thibault
- University of Kentucky, Department of Pharmacology and Nutritional Sciences, 800 Rose St., Lexington, KY 40536, United States.
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43
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Elksnis A, Martinell M, Eriksson O, Espes D. Heterogeneity of Metabolic Defects in Type 2 Diabetes and Its Relation to Reactive Oxygen Species and Alterations in Beta-Cell Mass. Front Physiol 2019; 10:107. [PMID: 30837889 PMCID: PMC6383038 DOI: 10.3389/fphys.2019.00107] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 01/28/2019] [Indexed: 12/21/2022] Open
Abstract
Type 2 diabetes (T2D) is a complex and heterogeneous disease which affects millions of people worldwide. The classification of diabetes is at an interesting turning point and there have been several recent reports on sub-classification of T2D based on phenotypical and metabolic characteristics. An important, and perhaps so far underestimated, factor in the pathophysiology of T2D is the role of oxidative stress and reactive oxygen species (ROS). There are multiple pathways for excessive ROS formation in T2D and in addition, beta-cells have an inherent deficit in the capacity to cope with oxidative stress. ROS formation could be causal, but also contribute to a large number of the metabolic defects in T2D, including beta-cell dysfunction and loss. Currently, our knowledge on beta-cell mass is limited to autopsy studies and based on comparisons with healthy controls. The combined evidence suggests that beta-cell mass is unaltered at onset of T2D but that it declines progressively. In order to better understand the pathophysiology of T2D, to identify and evaluate novel treatments, there is a need for in vivo techniques able to quantify beta-cell mass. Positron emission tomography holds great potential for this purpose and can in addition map metabolic defects, including ROS activity, in specific tissue compartments. In this review, we highlight the different phenotypical features of T2D and how metabolic defects impact oxidative stress and ROS formation. In addition, we review the literature on alterations of beta-cell mass in T2D and discuss potential techniques to assess beta-cell mass and metabolic defects in vivo.
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Affiliation(s)
- Andris Elksnis
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Mats Martinell
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Olof Eriksson
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Daniel Espes
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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44
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Rebelos E, Immonen H, Bucci M, Hannukainen JC, Nummenmaa L, Honka M, Soinio M, Salminen P, Ferrannini E, Iozzo P, Nuutila P. Brain glucose uptake is associated with endogenous glucose production in obese patients before and after bariatric surgery and predicts metabolic outcome at follow-up. Diabetes Obes Metab 2019; 21:218-226. [PMID: 30098134 PMCID: PMC6586041 DOI: 10.1111/dom.13501] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 08/07/2018] [Accepted: 08/07/2018] [Indexed: 12/16/2022]
Abstract
AIMS To investigate further the finding that insulin enhances brain glucose uptake (BGU) in obese but not in lean people by combining BGU with measures of endogenous glucose production (EGP), and to explore the associations between insulin-stimulated BGU and peripheral markers, such as metabolites and inflammatory markers. MATERIALS AND METHODS A total of 20 morbidly obese individuals and 12 lean controls were recruited from the larger randomized controlled SLEEVEPASS study. All participants were studied under fasting and euglycaemic hyperinsulinaemic conditions using fluorodeoxyglucose-positron emission tomography. Obese participants were re-evaluated 6 months after bariatric surgery and were followed-up for ~3 years. RESULTS In obese participants, we found a positive association between BGU and EGP during insulin stimulation. Across all participants, insulin-stimulated BGU was associated positively with systemic inflammatory markers and plasma levels of leucine and phenylalanine. Six months after bariatric surgery, the obese participants had achieved significant weight loss. Although insulin-stimulated BGU was decreased postoperatively, the association between BGU and EGP during insulin stimulation persisted. Moreover, high insulin-stimulated BGU at baseline predicted smaller improvement in fasting plasma glucose at 2 and 3 years of follow-up. CONCLUSIONS Our findings suggest the presence of a brain-liver axis in morbidly obese individuals, which persists postoperatively. This axis might contribute to further deterioration of glucose homeostasis.
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Affiliation(s)
| | | | - Marco Bucci
- Turku PET CentreUniversity of TurkuTurkuFinland
| | | | - Lauri Nummenmaa
- Turku PET CentreUniversity of TurkuTurkuFinland
- Department of PsychologyUniversity of TurkuTurkuFinland
| | | | - Minna Soinio
- Department of EndocrinologyTurku University HospitalTurkuFinland
| | - Paulina Salminen
- Department of Digestive Surgery and UrologyTurku University HospitalTurkuFinland
| | - Ele Ferrannini
- Institute of Clinical Physiology, National Research Council (CNR)PisaItaly
| | - Patricia Iozzo
- Turku PET CentreUniversity of TurkuTurkuFinland
- Institute of Clinical Physiology, National Research Council (CNR)PisaItaly
| | - Pirjo Nuutila
- Turku PET CentreUniversity of TurkuTurkuFinland
- Department of EndocrinologyTurku University HospitalTurkuFinland
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45
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Guzzardi MA, Iozzo P. Brain functional imaging in obese and diabetic patients. Acta Diabetol 2019; 56:135-144. [PMID: 29959509 DOI: 10.1007/s00592-018-1185-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 06/24/2018] [Indexed: 12/14/2022]
Abstract
Obesity and type 2 diabetes are associated with greater risk of brain damage. Over the last decade, functional imaging techniques (functional magnetic resonance imaging, fMRI, positron emission tomography, PET, electroencephalography, magnetoencephalography, near infrared spectroscopy) have been exploited to better characterize behavioral and cognitive processes, by addressing cerebral reactions to a variety of stimuli or tasks, including hormones and substrates (e.g., glucose, insulin, gut peptides), environmental cues (e.g., presentation of sensory stimuli), and cognitive tasks. Among these techniques, fMRI and PET are most commonly used, and this review focuses on results obtained with these techniques in relation to brain substrate metabolism, appetite control and food intake, and cognitive decline in obesity and type 2 diabetes. The available knowledge indicates that there are a series of cerebral abnormalities associating with, or preceding obesity and type 2 diabetes, including impaired substrate handling, insulin resistance, disruption of inter-organ cross-talk and of resting state networking. Some of these abnormalities are reversed by metabolic interventions, suggesting that they are partly a consequence rather than cause of disease. Therefore, causal implications and mechanisms remain to be determined.
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Affiliation(s)
- Maria Angela Guzzardi
- Institute of Clinical Physiology, National Research Council (CNR), Via Moruzzi 1, 56124, Pisa, Italy.
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council (CNR), Via Moruzzi 1, 56124, Pisa, Italy
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46
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Honkala SM, Johansson J, Motiani KK, Eskelinen JJ, Virtanen KA, Löyttyniemi E, Knuuti J, Nuutila P, Kalliokoski KK, Hannukainen JC. Short-term interval training alters brain glucose metabolism in subjects with insulin resistance. J Cereb Blood Flow Metab 2018; 38:1828-1838. [PMID: 28959911 PMCID: PMC6168908 DOI: 10.1177/0271678x17734998] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Brain insulin-stimulated glucose uptake (GU) is increased in obese and insulin resistant subjects but normalizes after weight loss along with improved whole-body insulin sensitivity. Our aim was to study whether short-term exercise training (moderate intensity continuous training (MICT) or sprint interval training (SIT)) alters substrates for brain energy metabolism in insulin resistance. Sedentary subjects ( n = 21, BMI 23.7-34.3 kg/m2, age 43-55 y) with insulin resistance were randomized into MICT ( n = 11, intensity≥60% of VO2peak) or SIT ( n = 10, all-out) groups for a two-week training intervention. Brain GU during insulin stimulation and fasting brain free fatty acid uptake (FAU) was measured using PET. At baseline, brain GU was positively associated with the fasting insulin level and negatively with the whole-body insulin sensitivity. The whole-body insulin sensitivity improved with both training modes (20%, p = 0.007), while only SIT led to an increase in aerobic capacity (5%, p = 0.03). SIT also reduced insulin-stimulated brain GU both in global cortical grey matter uptake (12%, p = 0.03) and in specific regions ( p < 0.05, all areas except the occipital cortex), whereas no changes were observed after MICT. Brain FAU remained unchanged after the training in both groups. These findings show that short-term SIT effectively decreases insulin-stimulated brain GU in sedentary subjects with insulin resistance.
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Affiliation(s)
| | | | | | | | | | | | - Juhani Knuuti
- 3 Turku PET Centre, Åbo Akademi University, Turku, Finland.,4 Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Pirjo Nuutila
- 1 Turku PET Centre, University of Turku, Turku, Finland.,4 Turku PET Centre, Turku University Hospital, Turku, Finland
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47
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Dodd GT, Michael NJ, Lee-Young RS, Mangiafico SP, Pryor JT, Munder AC, Simonds SE, Brüning JC, Zhang ZY, Cowley MA, Andrikopoulos S, Horvath TL, Spanswick D, Tiganis T. Insulin regulates POMC neuronal plasticity to control glucose metabolism. eLife 2018; 7:38704. [PMID: 30230471 PMCID: PMC6170188 DOI: 10.7554/elife.38704] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Accepted: 09/14/2018] [Indexed: 11/30/2022] Open
Abstract
Hypothalamic neurons respond to nutritional cues by altering gene expression and neuronal excitability. The mechanisms that control such adaptive processes remain unclear. Here we define populations of POMC neurons in mice that are activated or inhibited by insulin and thereby repress or inhibit hepatic glucose production (HGP). The proportion of POMC neurons activated by insulin was dependent on the regulation of insulin receptor signaling by the phosphatase TCPTP, which is increased by fasting, degraded after feeding and elevated in diet-induced obesity. TCPTP-deficiency enhanced insulin signaling and the proportion of POMC neurons activated by insulin to repress HGP. Elevated TCPTP in POMC neurons in obesity and/or after fasting repressed insulin signaling, the activation of POMC neurons by insulin and the insulin-induced and POMC-mediated repression of HGP. Our findings define a molecular mechanism for integrating POMC neural responses with feeding to control glucose metabolism.
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Affiliation(s)
- Garron T Dodd
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Victoria, Australia
| | - Natalie J Michael
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Physiology, Monash University, Victoria, Australia
| | - Robert S Lee-Young
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Victoria, Australia.,Monash Metabolic Phenotyping Facility, Monash University, Victoria, Australia
| | - Salvatore P Mangiafico
- Department of Medicine (Austin Hospital), The University of Melbourne, Melbourne, Australia
| | - Jack T Pryor
- Department of Physiology, Monash University, Victoria, Australia.,Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Astrid C Munder
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Physiology, Monash University, Victoria, Australia
| | - Stephanie E Simonds
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Physiology, Monash University, Victoria, Australia
| | - Jens Claus Brüning
- Department of Neuronal Control of Metabolism, Max Planck Institute for Metabolism Research, Cologne, Germany.,Center for Endocrinology, Diabetes, and Preventive Medicine, University Hospital Cologne, Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany.,Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.,National Center for Diabetes Research, Neuherberg, Germany
| | - Zhong-Yin Zhang
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, United States
| | - Michael A Cowley
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Physiology, Monash University, Victoria, Australia
| | - Sofianos Andrikopoulos
- Department of Medicine (Austin Hospital), The University of Melbourne, Melbourne, Australia
| | - Tamas L Horvath
- Program in Integrative Cell Signaling and Neurobiology of Metabolism, Department of Comparative Medicine, Yale University School of Medicine, New Haven, United States.,Department of Anatomy and Histology, University of Veterinary Medicine, Hungary, Europe
| | - David Spanswick
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Physiology, Monash University, Victoria, Australia.,Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Tony Tiganis
- Metabolism, Diabetes and Obesity Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Victoria, Australia.,Monash Metabolic Phenotyping Facility, Monash University, Victoria, Australia
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48
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Høyer KF, Nielsen TS, Risis S, Treebak JT, Jessen N. Sevoflurane Impairs Insulin Secretion and Tissue-Specific Glucose Uptake In Vivo. Basic Clin Pharmacol Toxicol 2018; 123:732-738. [PMID: 29956485 DOI: 10.1111/bcpt.13087] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 06/21/2018] [Indexed: 01/08/2023]
Abstract
The use of anaesthetics severely influences substrate metabolism. This poses challenges for patients in clinical settings and for the use of animals in diabetes research. Sevoflurane can affect regulation of glucose homoeostasis at several steps, but the tissue-specific response remains to be determined. The aim of the study was to investigate the pharmacological effect of sevoflurane anaesthesia on glucose homoeostasis during hyperinsulinaemic clamp conditions, the gold standard method for assessment of whole-body insulin sensitivity. Conscious mice (n = 6) and mice under sevoflurane anaesthesia (n = 8) underwent a hyperinsulinaemic clamp where constant infusion of insulin and donor blood was administered during variable glucose infusion to maintain isoglycaemia. 2-[1-14 C]-deoxy-D-glucose was infused to determine tissue-specific uptake of glucose in adipose tissue, heart, brain and skeletal muscle. Sevoflurane anaesthesia severely impaired insulin-stimulated whole-body glucose uptake demonstrated by a 50% lower glucose infusion rate (GIR). This was associated with decreased glucose uptake in brain, soleus, triceps and gastrocnemius muscles in sevoflurane-anaesthetized mice compared to conscious mice. Plasma-free fatty acids (FFA), a potent inducer of insulin resistance, increased by 42% in mice during sevoflurane anaesthesia. In addition, insulin secretion from pancreatic β-cell was lower in fasted, anaesthetized mice. Sevoflurane anaesthesia impairs insulin secretion, induces insulin resistance in mice and reduces glucose uptake in non-insulin-sensitive tissue like the brain. The underlying mechanisms may involve sevoflurane-induced mobilization of FFA.
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Affiliation(s)
- Kasper F Høyer
- Department of Biomedicine, Health, Aarhus University, Aarhus C, Denmark.,Research Laboratory for Biochemical Pathology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus C, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Integrative Physiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thomas S Nielsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Integrative Physiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Steve Risis
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Integrative Physiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonas T Treebak
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Integrative Physiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Jessen
- Department of Biomedicine, Health, Aarhus University, Aarhus C, Denmark.,Research Laboratory for Biochemical Pathology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus C, Denmark.,Department of Clinical Pharmacology, Aarhus University Hospital, Aarhus C, Denmark
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49
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Bahri S, Horowitz M, Malbert CH. Inward Glucose Transfer Accounts for Insulin-Dependent Increase in Brain Glucose Metabolism Associated with Diet-Induced Obesity. Obesity (Silver Spring) 2018; 26:1322-1331. [PMID: 29956494 DOI: 10.1002/oby.22243] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 05/21/2018] [Indexed: 02/05/2023]
Abstract
OBJECTIVE There is a general agreement that there are changes in brain metabolism in insulin-resistant individuals during conditions of hyperinsulinemia. However, the impact on obesity is unclear, and the metabolic constants underlying these modifications are unknown. The aim of this study was to evaluate these changes in a large animal model of diet-induced obesity. METHODS Twenty adult miniature pigs were fed with either an obesogenic diet or a regular diet for 5 months. At that time, fat deposition was evaluated using computed tomography scanning, and 18 fluorodeoxyglucose positron emission tomography images were acquired dynamically both in the fasted state and during a euglycemic-hyperinsulinemic clamp. Glucose uptake rates and pixel-wise modeled brain volumes were calculated together with brain connectivity. RESULTS Whole-body insulin sensitivity was reduced by more than 50% in the obesity group. During insulin stimulation, whole-brain insulin-induced increased glucose uptake was unaltered in lean animals but increased markedly in the animals with obesity. The increased glucose uptake reflected an increase in the inward transfer without changes in phosphorylation or outward brain transport. Connectivity was increased in the animals with obesity CONCLUSIONS: Diet-induced obesity is associated with an increase in insulin-stimulated brain glucose uptake as a consequence of a larger inward transfer. These changes occurred together with an increased connectivity in reference to regions associated with memory recollection.
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Affiliation(s)
- Senda Bahri
- Aniscan Unit, Department of Human Nutrition, Institut National de la Recherche Agronomique, Saint-Gilles, France
- Research Unit UR/11ES09, University of Tunis El Manar, Tunis, Tunisia
| | - Michael Horowitz
- Discipline of Medicine, University of Adelaide, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Charles-Henri Malbert
- Aniscan Unit, Department of Human Nutrition, Institut National de la Recherche Agronomique, Saint-Gilles, France
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50
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Kim SR, Lerman LO. Diagnostic imaging in the management of patients with metabolic syndrome. Transl Res 2018; 194:1-18. [PMID: 29175480 PMCID: PMC5839955 DOI: 10.1016/j.trsl.2017.10.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 10/18/2017] [Accepted: 10/26/2017] [Indexed: 02/07/2023]
Abstract
Metabolic syndrome (MetS) is the constellation of metabolic risk factors that might foster development of type 2 diabetes and cardiovascular disease. Abdominal obesity and insulin resistance play a prominent role among all metabolic traits of MetS. Because intervention including weight loss can reduce these morbidity and mortality in MetS, early detection of the severity and complications of MetS could be useful. Recent advances in imaging modalities have provided significant insight into the development and progression of abdominal obesity and insulin resistance, as well as target organ injuries. The purpose of this review is to summarize advances in diagnostic imaging modalities in MetS that can be applied for evaluating each components and target organs. This may help in early detection, monitoring target organ injury, and in turn developing novel therapeutic target to alleviate and avert them.
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Affiliation(s)
- Seo Rin Kim
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minn
| | - Lilach O Lerman
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minn.
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