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Hölscher C. Glucagon-like peptide-1 class drugs show clear protective effects in Parkinson's and Alzheimer's disease clinical trials: A revolution in the making? Neuropharmacology 2024; 253:109952. [PMID: 38677445 DOI: 10.1016/j.neuropharm.2024.109952] [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: 04/05/2024] [Accepted: 04/11/2024] [Indexed: 04/29/2024]
Abstract
Parkinson's disease (PD) is a complex syndrome for which there is no disease-modifying treatment on the market. However, a group of drugs from the Glucagon-like peptide-1 (GLP-1) class have shown impressive improvements in clinical phase II trials. Exendin-4 (Bydureon), Liraglutide (Victoza, Saxenda) and Lixisenatide (Adlyxin), drugs that are on the market as treatments for diabetes, have shown clear effects in improving motor activity in patients with PD in phase II clinical trials. In addition, Liraglutide has shown improvement in cognition and brain shrinkage in a phase II trial in patients with Alzheimer disease (AD). Two phase III trials testing the GLP-1 drug semaglutide (Wegovy, Ozempic, Rybelsus) are ongoing. This perspective article will summarize the clinical results obtained so far in this novel research area. We are at a crossroads where GLP-1 class drugs are emerging as a new treatment strategy for PD and for AD. Newer drugs that have been designed to enter the brain easier are being developed already show improved effects in preclinical studies compared with the older GLP-1 class drugs that had been developed to treat diabetes. The future looks bright for new treatments for AD and PD.
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Affiliation(s)
- Christian Hölscher
- Henan Academy of Innovations in Medical Science, Neurodegeneration Research Group, 451100 Xinzheng, Henan province, China.
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Deliz JR, Tanner CM, Gonzalez-Latapi P. Epidemiology of Parkinson's Disease: An Update. Curr Neurol Neurosci Rep 2024; 24:163-179. [PMID: 38642225 DOI: 10.1007/s11910-024-01339-w] [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] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
PURPOSE OF REVIEW In recent decades, epidemiological understanding of Parkinson disease (PD) has evolved significantly. Major discoveries in genetics and large epidemiological investigations have provided a better understanding of the genetic, behavioral, and environmental factors that play a role in the pathogenesis and progression of PD. In this review, we provide an epidemiological update of PD with a particular focus on advances in the last five years of published literature. RECENT FINDINGS We include an overview of PD pathophysiology, followed by a detailed discussion of the known distribution of disease and varied determinants of disease. We describe investigations of risk factors for PD, and provide a critical summary of current knowledge, knowledge gaps, and both clinical and research implications. We emphasize the need to characterize the epidemiology of the disease in diverse populations. Despite increasing understanding of PD epidemiology, recent paradigm shifts in the conceptualization of PD as a biological entity will also impact epidemiological research moving forward and guide further work in this field.
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Affiliation(s)
- Juan R Deliz
- Ken and Ruth Davee Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Caroline M Tanner
- Weill Institute for Neurosciences, Department of Neurology, University of California -San Francisco, San Francisco, CA, USA
| | - Paulina Gonzalez-Latapi
- Ken and Ruth Davee Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
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Wang R, Jin Z, Zhen Q, Qi L, Liu C, Wang P, Liu Y, Fang J, Liu Y, Su Y, Wang Y, Meng D, Yan H, Zhen Y, Li Z, Fang B. Hyperglycemia affects axial signs in patients with Parkinson's disease through mechanisms of insulin resistance or non-insulin resistance. Neurol Sci 2024; 45:2011-2019. [PMID: 38146011 DOI: 10.1007/s10072-023-07273-y] [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: 11/02/2023] [Accepted: 12/14/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE To investigate the influence of hyperglycemia on motor symptoms, especially axial signs, and potential mechanisms related to insulin resistance (IR) in patients with Parkinson's disease (PWP). METHODS According to glycated hemoglobin (HbA1c) level, PWP were divided into the low-HbA1c and the high-HbA1c groups. Demographic information, glucose metabolism-related variables, Hoehn-Yahr stage, and motor function were compared between the two groups. Correlations between levels of HbA1c and the homeostatic model assessment (HOMA)-IR and motor function in PWP were further analyzed. RESULTS HbA1c level was significantly and positively correlated with the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part III score, axial signs subscore, the Timed Get Up and Go test time, the center of pressure displacement of standing with eyes open and closed, and significantly and negatively correlated with the 10-m walk test comfortable gait speed. HOMA-IR level was significantly and negatively correlated with 10-m walk test comfortable gait speed, but not with others. CONCLUSIONS PWP with high HbA1c showed worse axial symptoms, including dysfunction of automatic walking, dynamic balance, and postural control than those with low HbA1c. In PWP, the effects of hyperglycemia on automatic walking speed may be associated with the IR-related mechanisms, and the effects on dynamic balance and postural control may be related to mechanisms other than IR.
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Affiliation(s)
- Ruidan Wang
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Zhaohui Jin
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Qiaoxia Zhen
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Lin Qi
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Cui Liu
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Ping Wang
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yonghong Liu
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Jinping Fang
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yanjun Liu
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yuan Su
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yixuan Wang
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Detao Meng
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Hongjiao Yan
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yi Zhen
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Zhenzhen Li
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Boyan Fang
- Neurological Rehabilitation Center, Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China.
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Ribarič S. The Contribution of Type 2 Diabetes to Parkinson's Disease Aetiology. Int J Mol Sci 2024; 25:4358. [PMID: 38673943 PMCID: PMC11050090 DOI: 10.3390/ijms25084358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/29/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Type 2 diabetes (T2D) and Parkinson's disease (PD) are chronic disorders that have a significant health impact on a global scale. Epidemiological, preclinical, and clinical research underpins the assumption that insulin resistance and chronic inflammation contribute to the overlapping aetiologies of T2D and PD. This narrative review summarises the recent evidence on the contribution of T2D to the initiation and progression of PD brain pathology. It also briefly discusses the rationale and potential of alternative pharmacological interventions for PD treatment.
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Affiliation(s)
- Samo Ribarič
- Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia
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Choi KE, Ryu DW, Oh YS, Kim JS. Fasting Plasma Glucose Levels and Longitudinal Motor and Cognitive Outcomes in Parkinson's Disease Patients. J Mov Disord 2024; 17:198-207. [PMID: 38444294 PMCID: PMC11082616 DOI: 10.14802/jmd.23264] [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: 12/14/2023] [Revised: 01/26/2024] [Accepted: 03/06/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVE Hyperglycemia and diabetes mellitus have been identified as poor prognostic factors for motor and nonmotor outcomes in patients with Parkinson's disease (PD), although there is some controversy with this finding. In the present study, we investigated the effects of fasting plasma glucose (FPG) levels on longitudinal motor and cognitive outcomes in PD patients. METHODS We included a total of 201 patients who were diagnosed with PD between January 2015 and January 2020. The patients were categorized based on FPG level into euglycemia (70 mg/dL < FPG < 100 mg/dL), intermediate glycemia (100 mg/dL ≤ FPG < 126 mg/dL), and hyperglycemia (FPG ≥ 126 mg/dL), and longitudinal FPG trajectories were analyzed using group-based trajectory modeling. Survival analysis was conducted to determine the time until motor outcome (Hoehn and Yahr stage ≥ 2) and the conversion from normal cognition to mild cognitive impairment. RESULTS Among the patient cohort, 82 had euglycemia, 93 had intermediate glycemia, and 26 had hyperglycemia. Intermediate glycemia (hazard ratio 1.747, 95% confidence interval [CI] 1.083-2.816, p = 0.0221) and hyperglycemia (hazard ratio 3.864, 95% CI 1.996-7.481, p < 0.0001) were found to be significant predictors of worsening motor symptoms. However, neither intermediate glycemia (hazard ratio 1.183, 95% CI 0.697-2.009, p = 0.5339) nor hyperglycemia (hazard ratio 1.297, 95% CI 0.601-2.800, p = 0.5078) demonstrated associations with the longitudinal progression of cognitive impairment. Diabetes mellitus, defined by self-reported medical history, was not related to poor motor or cognitive impairment outcomes. CONCLUSION Our. RESULTS suggest that both impaired glucose tolerance and hyperglycemia could be associated with motor progression in PD patients.
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Affiliation(s)
- Ko-Eun Choi
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dong-Woo Ryu
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yoon-Sang Oh
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joong-Seok Kim
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Reich N, Hölscher C. Cholecystokinin (CCK): a neuromodulator with therapeutic potential in Alzheimer's and Parkinson's disease. Front Neuroendocrinol 2024; 73:101122. [PMID: 38346453 DOI: 10.1016/j.yfrne.2024.101122] [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: 11/24/2023] [Revised: 01/04/2024] [Accepted: 01/25/2024] [Indexed: 02/16/2024]
Abstract
Cholecystokinin (CCK) is a neuropeptide modulating digestion, glucose levels, neurotransmitters and memory. Recent studies suggest that CCK exhibits neuroprotective effects in Alzheimer's disease (AD) and Parkinson's disease (PD). Thus, we review the physiological function and therapeutic potential of CCK. The neuropeptide facilitates hippocampal glutamate release and gates GABAergic basket cell activity, which improves declarative memory acquisition, but inhibits consolidation. Cortical CCK alters recognition memory and enhances audio-visual processing. By stimulating CCK-1 receptors (CCK-1Rs), sulphated CCK-8 elicits dopamine release in the substantia nigra and striatum. In the mesolimbic pathway, CCK release is triggered by dopamine and terminates reward responses via CCK-2Rs. Importantly, activation of hippocampal and nigral CCK-2Rs is neuroprotective by evoking AMPK activation, expression of mitochondrial fusion modulators and autophagy. Other benefits include vagus nerve/CCK-1R-mediated expression of brain-derived neurotrophic factor, intestinal protection and suppression of inflammation. We also discuss caveats and the therapeutic combination of CCK with other peptide hormones.
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Affiliation(s)
- Niklas Reich
- The ALBORADA Drug Discovery Institute, University of Cambridge, Island Research Building, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0AH, UK; Faculty of Health and Medicine, Biomedical & Life Sciences Division, Lancaster University, Lancaster LA1 4YQ, UK.
| | - Christian Hölscher
- Second associated Hospital, Neurology Department, Shanxi Medical University, Taiyuan, Shanxi, China; Henan Academy of Innovations in Medical Science, Neurodegeneration research group, Xinzhen, Henan province, China
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Bruno MK, Matsunaga M, Krening E, Nakagawa K, Chen JJ, Seto T, Gao F, Tanner C, Ross GW. Racial disparities in hospitalization characteristics among Native Hawaiians, Pacific Islanders and Asian American subgroups with Parkinson's disease. Parkinsonism Relat Disord 2024; 121:106018. [PMID: 38359475 DOI: 10.1016/j.parkreldis.2024.106018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Differences among Native Hawaiians/Pacific Islanders (NHPI) and Asian American (AA) subgroups have not been adequately studied in Parkinson's disease (PD). OBJECTIVE To determine differences in demographics, comorbidities, and healthcare utilization among NHPI, AA subgroups, and White hospitalized PD patients. METHODS We conducted a retrospective cross-sectional analysis of Hawai'is statewide registry (2016-2020). Patients with PD were identified using ICD10 code G20 and categorized as White, Japanese, Filipino, Chinese, NHPI, or Other. Variables collected included: age, sex, residence (county), primary source of payment, discharge status, length of stay, in-hospital expiration, Charlson Comorbidity Index (CCI) and Deep Brain Stimulation (DBS) utilization. Bivariate analyses were performed: differences in age and CCI were further examined by multivariable linear regression and proportional odds models. RESULTS Of 229,238 hospitalizations, 2428 had PD (Japanese: 31.3 %, White: 30.4 %, Filipino: 11.3 %, NHPI: 9.6 %, Chinese: 8.0 %). NHPI were younger compared to rest of the subgroups [estimate in years (95 % CI): Whites: 4.4 (3.0-5.8), Filipinos: 4.3 (2.7-5.9), Japanese: 7.7 (6.4-9.1), Chinese: 7.9 (6.1-9.7), p < 0.001)]. NHPI had a higher CCI compared to White, Japanese, and Chinese (p < 0.001). Among AA subgroups, Filipinos were younger and had a higher CCI compared to Japanese and Chinese (p < 0.001). There were no significant differences in DBS utilization among subgroups. CONCLUSIONS NHPI and Filipinos with PD were hospitalized at a younger age and had a greater comorbidity burden compared to other AAs and Whites. Further research, ideally prospective studies, are needed to understand these racial disparities.
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Affiliation(s)
- Michiko Kimura Bruno
- The Queen's Medical Center, Honolulu, HI, USA; University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu, HI, USA.
| | - Masako Matsunaga
- University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu, HI, USA
| | | | - Kazuma Nakagawa
- The Queen's Medical Center, Honolulu, HI, USA; University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu, HI, USA
| | - John J Chen
- University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu, HI, USA
| | - Todd Seto
- The Queen's Medical Center, Honolulu, HI, USA; University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu, HI, USA
| | - Fay Gao
- The Queen's Medical Center, Honolulu, HI, USA; University of Hawaii at Manoa, John A. Burns School of Medicine, Honolulu, HI, USA
| | | | - G Webster Ross
- Pacific Health Research and Education Institute, VA Pacific Islands Health Care System, USA
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Hwang YS, Kang MG, Yeom SW, Jeong CY, Shin BS, Koh J, Kim JS, Kang HG. Increasing incidence of Parkinson's disease in patients with epilepsy: A Nationwide cohort study. J Neurol Sci 2024; 458:122891. [PMID: 38310734 DOI: 10.1016/j.jns.2024.122891] [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: 08/15/2023] [Revised: 01/11/2024] [Accepted: 01/13/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Although epilepsy is an uncommon comorbidity of Parkinson's disease (PD), the exact incidence of PD among the patients with epilepsy is not clarified yet. OBJECTIVES We aimed to estimate the incidence of PD in patients with epilepsy and explore the association between epilepsy and PD. METHODS Epilepsy patients enrolled in the National Health Insurance Service Health Screening Cohort (NHIS-HealS) (2002-2013) between 2003 and 2007 were set up as the experimental group. The major outcome was the occurrence of PD. Non-epilepsy patients were obtained through Propensity Score Matching of 'greedy nearest neighbor' algorithm in 1:1 ratio. The Cox Proportional Hazards model was used to calculate PD incidence and hazard ratio (HR). RESULTS A total of 10,510 patients were finally included in the study, which contained 5255 patients in epilepsy and non-epilepsy groups, respectively. During the follow-up period, 85 patients with Parkinson's disease among 5255 patients with epilepsy and 57 patients with Parkinson's disease among 5255 patients without epilepsy occurred. The 10,000 Person-Year (PY), representing the number of PD patients per 10,000 per year, was 21.38 in the epilepsy group and 11.18 in the non-epilepsy group. When all variables were adjusted, it was found that the epilepsy group had a 2.19 times significantly higher risk of developing Parkinson's disease than the control group (The adjusted HR: 2.19 (95% CI, 1.55-3.12)). CONCLUSION This study indicates an increased risk of PD in patients with epilepsy. However, further research is needed to prove an exact causal relationship between these two brain disorders.
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Affiliation(s)
- Yun Su Hwang
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Min Gu Kang
- Department of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Sang Woo Yeom
- Department of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Cho Yun Jeong
- Department of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Byoung-Soo Shin
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Jihoon Koh
- Department of Otorhinolaryngology, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Jong Seung Kim
- Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea; Department of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Department of Otorhinolaryngology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
| | - Hyun Goo Kang
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
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Loh JS, Mak WQ, Tan LKS, Ng CX, Chan HH, Yeow SH, Foo JB, Ong YS, How CW, Khaw KY. Microbiota-gut-brain axis and its therapeutic applications in neurodegenerative diseases. Signal Transduct Target Ther 2024; 9:37. [PMID: 38360862 PMCID: PMC10869798 DOI: 10.1038/s41392-024-01743-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 01/02/2024] [Accepted: 01/14/2024] [Indexed: 02/17/2024] Open
Abstract
The human gastrointestinal tract is populated with a diverse microbial community. The vast genetic and metabolic potential of the gut microbiome underpins its ubiquity in nearly every aspect of human biology, including health maintenance, development, aging, and disease. The advent of new sequencing technologies and culture-independent methods has allowed researchers to move beyond correlative studies toward mechanistic explorations to shed light on microbiome-host interactions. Evidence has unveiled the bidirectional communication between the gut microbiome and the central nervous system, referred to as the "microbiota-gut-brain axis". The microbiota-gut-brain axis represents an important regulator of glial functions, making it an actionable target to ameliorate the development and progression of neurodegenerative diseases. In this review, we discuss the mechanisms of the microbiota-gut-brain axis in neurodegenerative diseases. As the gut microbiome provides essential cues to microglia, astrocytes, and oligodendrocytes, we examine the communications between gut microbiota and these glial cells during healthy states and neurodegenerative diseases. Subsequently, we discuss the mechanisms of the microbiota-gut-brain axis in neurodegenerative diseases using a metabolite-centric approach, while also examining the role of gut microbiota-related neurotransmitters and gut hormones. Next, we examine the potential of targeting the intestinal barrier, blood-brain barrier, meninges, and peripheral immune system to counteract glial dysfunction in neurodegeneration. Finally, we conclude by assessing the pre-clinical and clinical evidence of probiotics, prebiotics, and fecal microbiota transplantation in neurodegenerative diseases. A thorough comprehension of the microbiota-gut-brain axis will foster the development of effective therapeutic interventions for the management of neurodegenerative diseases.
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Affiliation(s)
- Jian Sheng Loh
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia
| | - Wen Qi Mak
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia
| | - Li Kar Stella Tan
- School of Pharmacy, Faculty of Health & Medical Sciences, Taylor's University, 1, Jalan Taylors, Subang Jaya, 47500, Selangor, Malaysia
- Digital Health & Medical Advancements, Taylor's University, 1, Jalan Taylors, Subang Jaya, 47500, Selangor, Malaysia
| | - Chu Xin Ng
- School of Biosciences, Faculty of Health & Medical Sciences, Taylor's University, 1, Jalan Taylors, Subang Jaya, 47500, Selangor, Malaysia
| | - Hong Hao Chan
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia
| | - Shiau Hueh Yeow
- UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London, WC1N 1AX, UK
| | - Jhi Biau Foo
- School of Pharmacy, Faculty of Health & Medical Sciences, Taylor's University, 1, Jalan Taylors, Subang Jaya, 47500, Selangor, Malaysia
- Digital Health & Medical Advancements, Taylor's University, 1, Jalan Taylors, Subang Jaya, 47500, Selangor, Malaysia
| | - Yong Sze Ong
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia
| | - Chee Wun How
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
| | - Kooi Yeong Khaw
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
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Greten S, Wegner F, Jensen I, Krey L, Rogozinski S, Fehring M, Heine J, Doll-Lee J, Pötter-Nerger M, Zeitzschel M, Hagena K, Pedrosa DJ, Eggers C, Bürk K, Trenkwalder C, Claus I, Warnecke T, Süß P, Winkler J, Gruber D, Gandor F, Berg D, Paschen S, Classen J, Pinkhardt EH, Kassubek J, Jost WH, Tönges L, Kühn AA, Schwarz J, Peters O, Dashti E, Priller J, Spruth EJ, Krause P, Spottke A, Schneider A, Beyle A, Kimmich O, Donix M, Haussmann R, Brandt M, Dinter E, Wiltfang J, Schott BH, Zerr I, Bähr M, Buerger K, Janowitz D, Perneczky R, Rauchmann BS, Weidinger E, Levin J, Katzdobler S, Düzel E, Glanz W, Teipel S, Kilimann I, Prudlo J, Gasser T, Brockmann K, Hoffmann DC, Klockgether T, Krause O, Heck J, Höglinger GU, Klietz M. The comorbidity and co-medication profile of patients with progressive supranuclear palsy. J Neurol 2024; 271:782-793. [PMID: 37803149 PMCID: PMC10827866 DOI: 10.1007/s00415-023-12006-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND Progressive supranuclear palsy (PSP) is usually diagnosed in elderly. Currently, little is known about comorbidities and the co-medication in these patients. OBJECTIVES To explore the pattern of comorbidities and co-medication in PSP patients according to the known different phenotypes and in comparison with patients without neurodegenerative disease. METHODS Cross-sectional data of PSP and patients without neurodegenerative diseases (non-ND) were collected from three German multicenter observational studies (DescribePSP, ProPSP and DANCER). The prevalence of comorbidities according to WHO ICD-10 classification and the prevalence of drugs administered according to WHO ATC system were analyzed. Potential drug-drug interactions were evaluated using AiDKlinik®. RESULTS In total, 335 PSP and 275 non-ND patients were included in this analysis. The prevalence of diseases of the circulatory and the nervous system was higher in PSP at first level of ICD-10. Dorsopathies, diabetes mellitus, other nutritional deficiencies and polyneuropathies were more frequent in PSP at second level of ICD-10. In particular, the summed prevalence of cardiovascular and cerebrovascular diseases was higher in PSP patients. More drugs were administered in the PSP group leading to a greater percentage of patients with polypharmacy. Accordingly, the prevalence of potential drug-drug interactions was higher in PSP patients, especially severe and moderate interactions. CONCLUSIONS PSP patients possess a characteristic profile of comorbidities, particularly diabetes and cardiovascular diseases. The eminent burden of comorbidities and resulting polypharmacy should be carefully considered when treating PSP patients.
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Affiliation(s)
- Stephan Greten
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
| | - Florian Wegner
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Ida Jensen
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Lea Krey
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Sophia Rogozinski
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Meret Fehring
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Johanne Heine
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Johanna Doll-Lee
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Monika Pötter-Nerger
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Molly Zeitzschel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Keno Hagena
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - David J Pedrosa
- Department of Neurology, University Hospital of Marburg and Gießen, 35043, BaldingerstraßeMarburg, Germany
| | - Carsten Eggers
- Department of Neurology, Knappschaftskrankenhaus Bottrop, Osterfelder Str. 157, 46242, Bottrop, Germany
| | - Katrin Bürk
- Kliniken Schmieder Stuttgart-Gerlingen, Solitudestraße 20, 70839, Gerlingen, Germany
| | | | - Inga Claus
- Department of Neurology with Institute of Translational Neurology, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Muenster, Germany
| | - Tobias Warnecke
- Department of Neurology and Neurorehabilitation, Klinikum Osnabrueck-Academic Teaching Hospital of the WWU Muenster, Am Finkenhügel 1, 49076, Osnabrueck, Germany
| | - Patrick Süß
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schloßplatz 4, 91054, Erlangen, Germany
- Center of Rare Diseases Erlangen (ZSEER), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schloßplatz 4, 91054, Erlangen, Germany
| | - Jürgen Winkler
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schloßplatz 4, 91054, Erlangen, Germany
- Center of Rare Diseases Erlangen (ZSEER), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schloßplatz 4, 91054, Erlangen, Germany
| | - Doreen Gruber
- Movement Disorders Hospital, Beelitz-Heilstätten, Straße Nach Fichtenwalde 16, 14547, Beelitz-Heilstätten, Germany
| | - Florin Gandor
- Movement Disorders Hospital, Beelitz-Heilstätten, Straße Nach Fichtenwalde 16, 14547, Beelitz-Heilstätten, Germany
| | - Daniela Berg
- Department of Neurology, Kiel University, Christian-Albrechts-Platz 4, 24118, Kiel, Germany
| | - Steffen Paschen
- Department of Neurology, Kiel University, Christian-Albrechts-Platz 4, 24118, Kiel, Germany
| | - Joseph Classen
- Department of Neurology, University of Leipzig Medical Center, Liebigstraße, 18, 04103, Leipzig, Germany
| | - Elmar H Pinkhardt
- Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Oberer Eselsberg, 89081, Ulm, Germany
| | - Wolfgang H Jost
- Parkinson-Klinik Ortenau, Kreuzbergstraße 12, 77709, Wolfach, Germany
| | - Lars Tönges
- Department of Neurology, St. Josef-Hospital, Ruhr University Bochum, Gudrunstraße 56, 44791, Bochum, Germany
- Protein Research Unit Ruhr (PURE), Neurodegeneration Research, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité, University Medicine Berlin, Charitépl. 1, 10117, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Charitépl. 1, 10117, Berlin, Germany
| | - Johannes Schwarz
- Department of Neurology, Klinik Haag I. OB, Krankenhausstraße 1, 84453, Mühldorf a. Inn, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Charitépl. 1, 10117, Berlin, Germany
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Charitépl. 1, 10117, Berlin, Germany
| | - Eman Dashti
- Department of Neurology, Charité-Universitätsmedizin Berlin, Charitépl. 1, 10117, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Charitépl. 1, 10117, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitépl. 1, 10117, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Eike J Spruth
- German Center for Neurodegenerative Diseases (DZNE), Charitépl. 1, 10117, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitépl. 1, 10117, Berlin, Germany
| | - Patricia Krause
- German Center for Neurodegenerative Diseases (DZNE), Charitépl. 1, 10117, Berlin, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Aline Beyle
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Okka Kimmich
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Markus Donix
- German Center for Neurodegenerative Diseases (DZNE), Tatzberg 41, 01307, Dresden, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Robert Haussmann
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Moritz Brandt
- German Center for Neurodegenerative Diseases (DZNE), Tatzberg 41, 01307, Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Elisabeth Dinter
- German Center for Neurodegenerative Diseases (DZNE), Tatzberg 41, 01307, Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - Björn H Schott
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Inga Zerr
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Göttingen, Germany
- Department of Neurology, University Medical Center, Georg August University, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Mathias Bähr
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Göttingen, Germany
- Department of Neurology, University Medical Center, Georg August University, Von-Siebold-Str. 5, 37075, Göttingen, Germany
- Cluster of Excellence Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), University Medical Center Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Daniel Janowitz
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, Exhibition Rd, South Kensington, London, SW7 2BX, UK
| | - Boris-Stephan Rauchmann
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Endy Weidinger
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Sabrina Katzdobler
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Universitätspl. 2, 39106, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, Gower St, London, WC1E 6BT, UK
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Universitätspl. 2, 39106, Magdeburg, Germany
- Clinic for Neurology, Medical Faculty, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock-GreifswaldRostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Schillingallee 35, 18057, Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock-GreifswaldRostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Schillingallee 35, 18057, Rostock, Germany
| | - Johannes Prudlo
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock-GreifswaldRostock, Germany
- Department of Neurology, University Medical Center, Schillingallee 35, 18057, Rostock, Germany
| | - Thomas Gasser
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076, Tübingen, Germany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany
| | - Kathrin Brockmann
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076, Tübingen, Germany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany
| | - Daniel C Hoffmann
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Olaf Krause
- Center for Medicine of the Elderly, DIAKOVERE Henriettenstift and Department of General Medicine and Palliative Care, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
- Center for Geriatric Medicine, Hospital DIAKOVERE Henriettenstift, Schwemannstrasse 19, 30559, Hannover, Germany
| | - Johannes Heck
- Institute for Clinical Pharmacology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Günter U Höglinger
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377, Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Feodor-Lynen-Strasse 17, 81377, Munich, Germany
| | - Martin Klietz
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
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11
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Mai AS, Tan BJW, Sun QY, Tan EK. Association between Type 1 Diabetes Mellitus and Parkinson's Disease: A Mendelian Randomization Study. J Clin Med 2024; 13:561. [PMID: 38256693 PMCID: PMC10816052 DOI: 10.3390/jcm13020561] [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: 11/28/2023] [Revised: 01/09/2024] [Accepted: 01/17/2024] [Indexed: 01/24/2024] Open
Abstract
While much evidence suggests that type 2 diabetes mellitus increases the risk of Parkinson's disease (PD), the relationship between type 1 diabetes mellitus (T1DM) and PD is unclear. To study their association, we performed a two-sample Mendelian randomization (MR) using the following statistical methods: inverse variance weighting (IVW), MR-Egger, weight median, and weighted mode. Independent datasets with no sample overlap were retrieved from the IEU GWAS platform. All the MR methods found a lower risk of PD in T1DM (IVW-OR 0.93, 95% CI 0.91-0.96, p = 3.12 × 10-5; MR-Egger-OR 0.93, 95% CI 0.88-0.98, p = 1.45 × 10-2; weighted median-OR 0.93, 95% CI 0.89-0.98, p = 2.76 × 10-3; and weighted mode-OR 0.94, 95% CI 0.9-0.98, p = 1.58 × 10-2). The findings were then replicated with another independent GWAS dataset on T1DM (IVW-OR 0.97, 95% CI 0.95-0.99, p = 3.10 × 10-3; MR-Egger-OR 0.96, 95% CI 0.93-0.99, p = 1.08 × 10-2; weighted median-OR 0.97, 95% CI 0.94-0.99, p = 1.88 × 10-2; weighted mode-OR 0.97, 95% CI 0.94-0.99, p = 1.43 × 10-2). Thus, our study provides evidence that T1DM may have a protective effect on PD risk, though further studies are needed to clarify the underlying mechanisms.
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Affiliation(s)
- Aaron Shengting Mai
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore;
- Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore
| | - Brendan Jen-Wei Tan
- Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore
| | - Qiao-Yang Sun
- Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore
| | - Eng-King Tan
- Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore
- Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore 169857, Singapore
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12
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Naoi M, Maruyama W, Shamoto-Nagai M, Riederer P. Toxic interactions between dopamine, α-synuclein, monoamine oxidase, and genes in mitochondria of Parkinson's disease. J Neural Transm (Vienna) 2024:10.1007/s00702-023-02730-6. [PMID: 38196001 DOI: 10.1007/s00702-023-02730-6] [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: 10/15/2023] [Accepted: 12/15/2023] [Indexed: 01/11/2024]
Abstract
Parkinson's disease is characterized by its distinct pathological features; loss of dopamine neurons in the substantia nigra pars compacta and accumulation of Lewy bodies and Lewy neurites containing modified α-synuclein. Beneficial effects of L-DOPA and dopamine replacement therapy indicate dopamine deficit as one of the main pathogenic factors. Dopamine and its oxidation products are proposed to induce selective vulnerability in dopamine neurons. However, Parkinson's disease is now considered as a generalized disease with dysfunction of several neurotransmitter systems caused by multiple genetic and environmental factors. The pathogenic factors include oxidative stress, mitochondrial dysfunction, α-synuclein accumulation, programmed cell death, impaired proteolytic systems, neuroinflammation, and decline of neurotrophic factors. This paper presents interactions among dopamine, α-synuclein, monoamine oxidase, its inhibitors, and related genes in mitochondria. α-Synuclein inhibits dopamine synthesis and function. Vice versa, dopamine oxidation by monoamine oxidase produces toxic aldehydes, reactive oxygen species, and quinones, which modify α-synuclein, and promote its fibril production and accumulation in mitochondria. Excessive dopamine in experimental models modifies proteins in the mitochondrial electron transport chain and inhibits the function. α-Synuclein and familiar Parkinson's disease-related gene products modify the expression and activity of monoamine oxidase. Type A monoamine oxidase is associated with neuroprotection by an unspecific dose of inhibitors of type B monoamine oxidase, rasagiline and selegiline. Rasagiline and selegiline prevent α-synuclein fibrillization, modulate this toxic collaboration, and exert neuroprotection in experimental studies. Complex interactions between these pathogenic factors play a decisive role in neurodegeneration in PD and should be further defined to develop new therapies for Parkinson's disease.
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Affiliation(s)
- Makoto Naoi
- Department of Health and Nutritional Sciences, Faculty of Health Sciences, Aichi Gakuin University, 12 Araike, Iwasaki-cho, Nisshin, Aichi, 320-0195, Japan.
| | - Wakako Maruyama
- Department of Health and Nutritional Sciences, Faculty of Health Sciences, Aichi Gakuin University, 12 Araike, Iwasaki-cho, Nisshin, Aichi, 320-0195, Japan
| | - Masayo Shamoto-Nagai
- Department of Health and Nutritional Sciences, Faculty of Health Sciences, Aichi Gakuin University, 12 Araike, Iwasaki-cho, Nisshin, Aichi, 320-0195, Japan
| | - Peter Riederer
- Clinical Neurochemistry, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
- Department of Psychiatry, University of Southern Denmark, Odense, Denmark
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13
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Trenkwalder C, Mollenhauer B. The long road to neuroprotection for Parkinson's disease. Lancet Neurol 2024; 23:2-3. [PMID: 38101888 DOI: 10.1016/s1474-4422(23)00462-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023]
Affiliation(s)
- Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany.
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
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14
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Vijiaratnam N, Foltynie T. How should we be using biomarkers in trials of disease modification in Parkinson's disease? Brain 2023; 146:4845-4869. [PMID: 37536279 PMCID: PMC10690028 DOI: 10.1093/brain/awad265] [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: 05/10/2023] [Revised: 07/18/2023] [Accepted: 07/22/2023] [Indexed: 08/05/2023] Open
Abstract
The recent validation of the α-synuclein seed amplification assay as a biomarker with high sensitivity and specificity for the diagnosis of Parkinson's disease has formed the backbone for a proposed staging system for incorporation in Parkinson's disease clinical studies and trials. The routine use of this biomarker should greatly aid in the accuracy of diagnosis during recruitment of Parkinson's disease patients into trials (as distinct from patients with non-Parkinson's disease parkinsonism or non-Parkinson's disease tremors). There remain, however, further challenges in the pursuit of biomarkers for clinical trials of disease modifying agents in Parkinson's disease, namely: optimizing the distinction between different α-synucleinopathies; the selection of subgroups most likely to benefit from a candidate disease modifying agent; a sensitive means of confirming target engagement; and the early prediction of longer-term clinical benefit. For example, levels of CSF proteins such as the lysosomal enzyme β-glucocerebrosidase may assist in prognostication or allow enrichment of appropriate patients into disease modifying trials of agents with this enzyme as the target; the presence of coexisting Alzheimer's disease-like pathology (detectable through CSF levels of amyloid-β42 and tau) can predict subsequent cognitive decline; imaging techniques such as free-water or neuromelanin MRI may objectively track decline in Parkinson's disease even in its later stages. The exploitation of additional biomarkers to the α-synuclein seed amplification assay will, therefore, greatly add to our ability to plan trials and assess the disease modifying properties of interventions. The choice of which biomarker(s) to use in the context of disease modifying clinical trials will depend on the intervention, the stage (at risk, premotor, motor, complex) of the population recruited and the aims of the trial. The progress already made lends hope that panels of fluid biomarkers in tandem with structural or functional imaging may provide sensitive and objective methods of confirming that an intervention is modifying a key pathophysiological process of Parkinson's disease. However, correlation with clinical progression does not necessarily equate to causation, and the ongoing validation of quantitative biomarkers will depend on insightful clinical-genetic-pathophysiological comparisons incorporating longitudinal biomarker changes from those at genetic risk with evidence of onset of the pathophysiology and those at each stage of manifest clinical Parkinson's disease.
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Affiliation(s)
- Nirosen Vijiaratnam
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Thomas Foltynie
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
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15
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Santiago JA, Karthikeyan M, Lackey M, Villavicencio D, Potashkin JA. Diabetes: a tipping point in neurodegenerative diseases. Trends Mol Med 2023; 29:1029-1044. [PMID: 37827904 PMCID: PMC10844978 DOI: 10.1016/j.molmed.2023.09.005] [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: 07/14/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 10/14/2023]
Abstract
Diabetes is associated with an increased risk and progression of Alzheimer's (AD) and Parkinson's (PD) diseases. Conversely, diabetes may confer neuroprotection against amyotrophic lateral sclerosis (ALS). It has been posited that perturbations in glucose and insulin regulation, cholesterol metabolism, and mitochondrial bioenergetics defects may underlie the molecular underpinnings of diabetes effects on the brain. Nevertheless, the precise molecular mechanisms remain elusive. Here, we discuss the evidence from molecular, epidemiological, and clinical studies investigating the impact of diabetes on neurodegeneration and highlight shared dysregulated pathways between these complex comorbidities. We also discuss promising antidiabetic drugs, molecular diagnostics currently in clinical trials, and outstanding questions and challenges for future pursuit.
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Affiliation(s)
| | | | | | | | - Judith A Potashkin
- Center for Neurodegenerative Diseases and Therapeutics, Cellular and Molecular Pharmacology Department, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
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16
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Ogaki K, Fujita H, Nozawa N, Shiina T, Sakuramoto H, Suzuki K. Impact of diabetes and glycated hemoglobin level on the clinical manifestations of Parkinson's disease. J Neurol Sci 2023; 454:120851. [PMID: 37931442 DOI: 10.1016/j.jns.2023.120851] [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: 08/03/2023] [Revised: 09/21/2023] [Accepted: 10/22/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND The coexistence of diabetes mellitus (DM) has been suggested to accelerate the progression of Parkinson's disease (PD) and make the phenotype more severe. In this study, we investigated whether DM or glycated hemoglobin (HbA1c) levels affect the differences in motor and nonmotor symptoms. METHODS We conducted a cross-sectional study including 140 consecutive Japanese patients with PD for whom medical history and serum HbA1c records were available. The PD patients with a DM diagnosis were classified into the diabetes-complicated group (PD-DM) and the nondiabetes-complicated group (PD-no DM). Next, patients were classified based on a median HbA1c value of 5.7, and clinical parameters were compared. The correlations between HbA1c levels and other clinical variables were analyzed. RESULTS Of 140 patients, 23 patients (16%) had DM. Compared to PD-no DM patients, PD-DM patients showed lower MMSE scores. Compared to the lower HbA1c group, the higher HbA1c group showed a higher MDS-UPDRS part III score and a lower metaiodobenzylguanidine (MIBG) scintigraphy heart-to-mediastinum (H/M) ratio. HbA1c levels were positively correlated with age and the MDS-UPDRS part III score and negatively correlated with the MMSE score and H/M ratio on cardiac MIBG scintigraphy. Binary logistic regression analysis, which included age, sex, disease duration, and MMSE and MDS-UPDRS part III scores as independent variables, revealed that a lower MMSE score was an independent contributor to PD-DM and PD with high HbA1c levels. CONCLUSIONS DM complications and high HbA1c levels may affect cognitive function in patients with PD.
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Affiliation(s)
- Keitaro Ogaki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Hiroaki Fujita
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan.
| | - Narihiro Nozawa
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Tomohiko Shiina
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | | | - Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
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17
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Ryu DW, Han K, Cho AH. Mortality and causes of death in patients with Parkinson's disease: a nationwide population-based cohort study. Front Neurol 2023; 14:1236296. [PMID: 37719757 PMCID: PMC10501780 DOI: 10.3389/fneur.2023.1236296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/01/2023] [Indexed: 09/19/2023] Open
Abstract
Objective Parkinson's disease (PD) is a neurodegenerative disease involving multiple systems that can affect mortality. This study aimed to compare all-cause and cause-specific mortality between people with PD and without PD. Methods This population-based prospective cohort study is based on Korean National Health Insurance Service data. The primary outcome was the hazard ratio (HR) of all-cause and cause-specific mortality for PD from 2010 to 2019. Cox proportional hazards regression was applied to calculate HRs under crude and three adjusted models with epidemiologic variables. Results A total of 8,220 PD patients and 41,100 age- and sex-matched controls without PD were registered. Ten-year mortality was 47.9% in PD patients and 20.3% in non-PD controls. The mortality rate was higher among older and male participants. The leading cause of death in PD was nervous system diseases (38.73%), and 97.1% of those were extrapyramidal and movement disorders, followed by circulatory diseases (15.33%), respiratory diseases (12.56%), and neoplasms (9.7%). PD contributed to an increased risk of all-cause death with an HR of 2.96 (95% CI = 2.84-3.08). HRs of death for PD were 3.07 (95% CI = 2.74-3.45) from respiratory diseases, 1.93 (95% CI = 1.75-2.13) from circulatory diseases, 2.35 (95% CI = 2.00-2.77) from external causes, and 2.69 (95% CI = 2.10-3.43) from infectious diseases. Conclusion These results showed that PD was related to a higher risk of mortality in all ages and sexes. The leading causes of death in PD were nervous, circulatory, respiratory, infectious diseases, and external causes.
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Affiliation(s)
- Dong-Woo Ryu
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - A-Hyun Cho
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Lawton M, Ben-Shlomo Y, Athauda D, Malek N, Grosset DG. Commentary: "Association between diabetes mellitus, prediabetes and risk, disease progression of Parkinson's disease: a systematic review and meta-analysis". Front Aging Neurosci 2023; 15:1223636. [PMID: 37396660 PMCID: PMC10309552 DOI: 10.3389/fnagi.2023.1223636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 07/04/2023] Open
Affiliation(s)
- Michael Lawton
- Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Yoav Ben-Shlomo
- Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Dilan Athauda
- Neurodegeneration Biology Laboratory, Francis Crick Institute, London, United Kingdom
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Naveed Malek
- Department of Neurology, Queen's Hospital, Romford, United Kingdom
| | - Donald G. Grosset
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom
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Santiago JA, Potashkin JA. Physical activity and lifestyle modifications in the treatment of neurodegenerative diseases. Front Aging Neurosci 2023; 15:1185671. [PMID: 37304072 PMCID: PMC10250655 DOI: 10.3389/fnagi.2023.1185671] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/03/2023] [Indexed: 06/13/2023] Open
Abstract
Neurodegenerative diseases have reached alarming numbers in the past decade. Unfortunately, clinical trials testing potential therapeutics have proven futile. In the absence of disease-modifying therapies, physical activity has emerged as the single most accessible lifestyle modification with the potential to fight off cognitive decline and neurodegeneration. In this review, we discuss findings from epidemiological, clinical, and molecular studies investigating the potential of lifestyle modifications in promoting brain health. We propose an evidence-based multidomain approach that includes physical activity, diet, cognitive training, and sleep hygiene to treat and prevent neurodegenerative diseases.
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Affiliation(s)
| | - Judith A. Potashkin
- Center for Neurodegenerative Diseases and Therapeutics, Cellular and Molecular Pharmacology Department, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
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20
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Chen L, He X, Tao T, Chen L, Chen Y, Mao L, Liu P. Association between metabolic syndrome components and impulse control disorders in Parkinson's disease. Front Neurosci 2023; 17:1191338. [PMID: 37274186 PMCID: PMC10232783 DOI: 10.3389/fnins.2023.1191338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/04/2023] [Indexed: 06/06/2023] Open
Abstract
Background Current evidence on management of impulse control disorders (ICDs) in Parkinson's disease (PD) remains scarce, and exploring modifiable risk factors is crucial. Objective We evaluated the profiles of ICDs in PD patients and aimed to determine the associations between ICDs, metabolic syndrome components and other clinical features. Methods We enrolled patients diagnosed with PD in this study and conducted comprehensive clinical assessments. Results We recruited 39 PD patients with ICDs and 66 PD patients without ICDs. Out of the 39 patients with ICDs, 19 (48.7%) had one impulse control disorder, while 20 (51.3%) had two or more. The most commonly reported symptom of ICDs was compulsive eating (48.7%). Significant differences were observed between the PD patients with and without ICDs in terms of their HbA1c levels, history of diabetes mellitus, dopamine agonist use, levodopa equivalent dose of dopamine agonists (LED DA), and Hamilton Depression Rating Scale (HAMD) scores. HbA1c levels were significantly higher in the PD patients with compulsive eating. Stepwise logistic regression analyses were performed with the dependent variables of ICDs (yes/no) and compulsive eating (yes/no). Among the 105 PD patients, those with ICDs exhibited higher levels of HbA1c, HAMD score and LED DA than those without ICDs (p < 0.01). Among 39 PD patients with ICDs, those with compulsive eating exhibited higher levels of HbA1c (OR = 2.148, 95% CI = 1.004-4.594, p < 0.05). Among 105 PD patients, those with compulsive eating exhibited higher levels of HbA1c, LED DA and HAMD score (p < 0.05). Conclusion This study provides insights into the profiles of ICDs in PD patients and their associations with various clinical features. Compulsive eating was the most common ICDs symptom reported. Notably, HbA1c levels were found to be higher in patients with compulsive eating, indicating that poor blood glucose control may be a potential risk factor for ICDs in PD. However, it should be noted that the higher HbA1c levels could also be a consequence of compulsive eating rather than a causal factor for ICDs in PD. Further research is needed to confirm the modifiable risk factors for ICDs in PD.
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Affiliation(s)
- Linxi Chen
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
- Department of Pathology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Xinwei He
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Taotao Tao
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Linkao Chen
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Yun Chen
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Lingqun Mao
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Peng Liu
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
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21
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Barter JD, Thomas D, Ni L, Bay AA, Johnson TM, Prusin T, Hackney ME. Parkinson's Disease and Diabetes Mellitus: Individual and Combined Effects on Motor, Cognitive, and Psychosocial Functions. Healthcare (Basel) 2023; 11:healthcare11091316. [PMID: 37174858 PMCID: PMC10178005 DOI: 10.3390/healthcare11091316] [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: 12/22/2022] [Revised: 03/02/2023] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND/OBJECTIVE Understanding the effects of multimorbidity on motor and cognitive function is important for tailoring therapies. Individuals with diabetes mellitus (DM) have a greater risk of developing Parkinson's disease (PD). This study investigated if individuals with comorbid PD and DM experienced poorer functional ability compared to individuals with only PD or DM. METHODS A cross-sectional analysis of 424 individuals: healthy older adults (HOA), n = 170; PD without DM (PD-only), n = 162; DM without PD (DM-only), n = 56; and comorbid PD and DM (PD+DM), n = 36. Motor, motor-cognitive, cognitive, and psychosocial functions and PD motor symptoms were compared among groups using a two-way analyses of covariance with PD and DM as factors. RESULTS The PD-only and DM-only participants exhibited slower gait, worse balance, reduced strength, and less endurance. Motor-cognitive function was impaired in individuals with PD but not DM. DM-only participants exhibited impaired inhibition. Individuals with comorbid PD+DM had worse PD motor symptoms and exhibited impaired attention compared to the PD-only group. CONCLUSIONS Having PD or DM was independently associated with poorer physical and mental quality of life, depression, and greater risk for loss of function. Both PD and DM have independent adverse effects on motor function. Comorbid PD+DM further impairs attention compared to the effect of PD-only, suggesting the importance of therapies focusing on attention. Understanding the functional ability levels for motor and cognitive domains will enhance the clinical care for PD, DM, and PD+DM.
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Affiliation(s)
- Jolie D Barter
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Dwaina Thomas
- School of Arts and Sciences, Clark Atlanta University, Atlanta, GA 30314, USA
| | - Liang Ni
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Allison A Bay
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Theodore M Johnson
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Birmingham/Atlanta VA Geriatric Research Education and Clinical Center, Brookhaven, GA 30319, USA
| | - Todd Prusin
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Madeleine E Hackney
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Birmingham/Atlanta VA Geriatric Research Education and Clinical Center, Brookhaven, GA 30319, USA
- School of Nursing, Emory University, Atlanta, GA 30322, USA
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA 30033, USA
- Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
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22
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Yan Y, Shimoga D, Sharma A. Parkinson's Disease and Diabetes Mellitus: Synergistic Effects on Pathophysiology and GI Motility. Curr Gastroenterol Rep 2023; 25:106-113. [PMID: 37067721 DOI: 10.1007/s11894-023-00868-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2023] [Indexed: 04/18/2023]
Abstract
PURPOSE OF REVIEW Parkinson's disease and diabetes affect an increasing proportion of the aging global population. Both conditions extensively affect gastrointestinal (GI) motility with similar and differing clinical symptoms. Nonetheless, GI symptoms in Parkinson's disease and diabetes pose significant morbidity and impairment of quality of life. Their pathophysiology is poorly understood, and therefore, effective treatment options are lacking. RECENT FINDINGS Parkinson's disease patients have oropharyngeal dysphagia and constipation. They also have mild or absent upper GI symptoms associated with delayed gastric emptying, which is prevalent in 70% of patients. Delayed gastric emptying in Parkinson's disease leads to erratic medication absorption and fluctuating motor symptoms. Half of diabetics have upper GI symptoms, which correlate to gastric emptying and changes in brain activity of the insular cortex. The majority of diabetics also have constipation. Diabetics have an increased risk for developing Parkinson's disease and anti-diabetic medications are associated with risk reduction of developing Parkinson's disease. Hyperglycemia is associated with advanced glycated end products formation and acceleration of α-synuclein aggregation. GLP-1 receptor agonists have also demonstrated efficacy in improving motor symptoms and cognition in Parkinson's disease patients with diabetes. Parkinson's disease and diabetes are pan-enteric disorders with significant GI symptoms and impairment of gut motility. Both conditions have synergistic pathophysiologies that propagate neurodegenerative changes. Treatment options for GI symptoms in diabetic and Parkinson's disease patients are lacking. Anti-diabetic treatment improves motor symptoms in Parkinson's disease, however, its effect on GI symptoms is unclear.
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Affiliation(s)
- Yun Yan
- Division of Gastroenterology and Hepatology, Department of Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, AD 2226, Augusta, GA, 30912, USA
| | - Dhanush Shimoga
- Division of Gastroenterology and Hepatology, Department of Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, AD 2226, Augusta, GA, 30912, USA
| | - Amol Sharma
- Division of Gastroenterology and Hepatology, Department of Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, AD 2226, Augusta, GA, 30912, USA.
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23
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Zhong Q, Wang S. Association between diabetes mellitus, prediabetes and risk, disease progression of Parkinson's disease: A systematic review and meta-analysis. Front Aging Neurosci 2023; 15:1109914. [PMID: 37009459 PMCID: PMC10060805 DOI: 10.3389/fnagi.2023.1109914] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/17/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundPrevious studies reported inconsistent results regarding association between diabetes mellitus (DM), prediabetes and risk, disease progression of Parkinson's disease (PD). The meta-analysis was made to investigate association between DM, prediabetes and risk, disease progression of PD.MethodsLiteratures investigating association between DM, prediabetes and risk, disease progression of PD were searched in these databases: PubMed and Web of Science. Included literatures were published before October 2022. STATA 12.0 software was used to compute odds ratios (ORs)/relative risks (RRs) or standard mean differences (SMDs).ResultsDM was associated with a higher risk of PD, compared to non-diabetic participants with a random effects model (OR/RR = 1.23, 95% CI 1.12–1.35, I2 = 90.4%, p < 0.001). PD with DM (PD-DM) was associated with a faster motor progression compared to PD without DM (PD-noDM) with a fixed effects model (RR = 1.85, 95% CI 1.47–2.34, I2 = 47.3%, p = 0.091). However, meta-analysis for comparison in change rate of United Rating Scale (UPDRS) III scores from baseline to follow-up time between PD-DM and PD-noDM reported no difference in motor progression between PD-DM and PD-noDM with a random effects model (SMD = 2.58, 95% CI = −3.11 to 8.27, I2 = 99.9%, p < 0.001). PD-DM was associated with a faster cognitive decline compared to PD-noDM with a fixed effects model (OR/RR = 1.92, 95% CI 1.45–2.55, I2 = 50.3%, p = 0.110).ConclusionsIn conclusion, DM was associated with a higher risk and faster disease decline of PD. More large-scale cohort studies should be adopted to evaluate the association between DM, prediabetes and PD.
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Cullinane PW, de Pablo Fernandez E, König A, Outeiro TF, Jaunmuktane Z, Warner TT. Type 2 Diabetes and Parkinson's Disease: A Focused Review of Current Concepts. Mov Disord 2023; 38:162-177. [PMID: 36567671 DOI: 10.1002/mds.29298] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/25/2022] [Accepted: 11/15/2022] [Indexed: 12/27/2022] Open
Abstract
Highly reproducible epidemiological evidence shows that type 2 diabetes (T2D) increases the risk and rate of progression of Parkinson's disease (PD), and crucially, the repurposing of certain antidiabetic medications for the treatment of PD has shown early promise in clinical trials, suggesting that the effects of T2D on PD pathogenesis may be modifiable. The high prevalence of T2D means that a significant proportion of patients with PD may benefit from personalized antidiabetic treatment approaches that also confer neuroprotective benefits. Therefore, there is an immediate need to better understand the mechanistic relation between these conditions and the specific molecular pathways affected by T2D in the brain. Although there is considerable evidence that processes such as insulin signaling, mitochondrial function, autophagy, and inflammation are involved in the pathogenesis of both PD and T2D, the primary aim of this review is to highlight the evidence showing that T2D-associated dysregulation of these pathways occurs not only in the periphery but also in the brain and how this may facilitate neurodegeneration in PD. We also discuss the challenges involved in disentangling the complex relationship between T2D, insulin resistance, and PD, as well as important questions for further research. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Patrick W Cullinane
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom.,Reta Lila Weston Institute of Neurological Studies and Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Eduardo de Pablo Fernandez
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom.,Reta Lila Weston Institute of Neurological Studies and Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Annekatrin König
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany
| | - Tiago Fleming Outeiro
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany.,Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.,Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom.,Scientific Employee with an Honorary Contract at Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Göttingen, Germany
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom.,Reta Lila Weston Institute of Neurological Studies and Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,Division of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, United Kingdom.,Queen Square Movement Disorders Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Thomas T Warner
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom.,Reta Lila Weston Institute of Neurological Studies and Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,Queen Square Movement Disorders Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
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25
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Klein C, Bloem BR. Research in movement disorders in 2022: a new era of biomarker and treatment development. Lancet Neurol 2023; 22:17-19. [PMID: 36517158 DOI: 10.1016/s1474-4422(22)00494-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/25/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Christine Klein
- Institute of Neurogenetics, University of Lübeck, Lübeck, 23538, Germany.
| | - Bastiaan R Bloem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Centre of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
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26
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Chen J, Zhao D, Wang Q, Chen J, Bai C, Li Y, Guo X, Chen B, Zhang L, Yuan J. Predictors of cognitive impairment in newly diagnosed Parkinson's disease with normal cognition at baseline: A 5-year cohort study. Front Aging Neurosci 2023; 15:1142558. [PMID: 36926634 PMCID: PMC10011149 DOI: 10.3389/fnagi.2023.1142558] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 02/10/2023] [Indexed: 03/08/2023] Open
Abstract
Background and objective Cognitive impairment (CI) is a substantial contributor to the disability associated with Parkinson's disease (PD). We aimed to assess the clinical features and explore the underlying biomarkers as predictors of CI in patients with newly diagnosed PD (NDPD; less than 2 years). Methods We evaluated the cognitive function status using the Montreal Cognitive Assessment (MoCA) and a battery of neuropsychological tests at baseline and subsequent annual follow-up for 5 years from the Parkinson's Progression Markers Initiative (PPMI) database. We assessed the baseline clinical features, apolipoprotein (APO) E status, β-glucocerebrosidase (GBA) mutation status, cerebrospinal fluid findings, and dopamine transporter imaging results. Using a diagnosis of CI (combined mild cognitive impairment and dementia) developed during the 5-year follow-up as outcome measures, we assessed the predictive values of baseline clinical variables and biomarkers. We also constructed a predictive model for the diagnosis of CI using logistic regression analysis. Results A total of 409 patients with NDPD with 5-year follow-up were enrolled, 232 with normal cognitive function at baseline, and 94 patients developed CI during the 5-year follow-up. In multivariate analyses, age, current diagnosis of hypertension, baseline MoCA scores, Movement disorder society Unified PD Rating Scale part III (MDS-UPDRS III) scores, and APOE status were associated with the development of CI. Predictive accuracy of CI using age alone improved by the addition of clinical variables and biomarkers (current diagnosis of hypertension, baseline MoCA scores, and MDS-UPDRS III scores, APOE status; AUC 0.80 [95% CI 0.74-0.86] vs. 0.71 [0.64-0.77], p = 0.008). Cognitive domains that had higher frequencies of impairment were found in verbal memory (12.6 vs. 16.8%) and attention/processing speed (12.7 vs. 16.9%), however, no significant difference in the prevalence of CI at annual follow-up was found during the 5-year follow-up in NDPD patients. Conclusion In NDPD, the development of CI during the 5-year follow-up can be predicted with good accuracy using a model combining age, current diagnosis of hypertension, baseline MoCA scores, MDS-UPDRS III scores, and APOE status. Our study underscores the need for the earlier identification of CI in NDPD patients in our clinical practice.
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Affiliation(s)
- Jing Chen
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Danhua Zhao
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Qi Wang
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Junyi Chen
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Chaobo Bai
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Yuan Li
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Xintong Guo
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Baoyu Chen
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Lin Zhang
- Department of Neurology and Neurological Surgery, UC Davis Deep Brain Stimulation (DBS), Sacramento, CA, United States
| | - Junliang Yuan
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
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Faizan M, Sarkar A, Singh MP. Type 2 diabetes mellitus augments Parkinson's disease risk or the other way around: Facts, challenges and future possibilities. Ageing Res Rev 2022; 81:101727. [PMID: 36038113 DOI: 10.1016/j.arr.2022.101727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 08/01/2022] [Accepted: 08/24/2022] [Indexed: 01/31/2023]
Abstract
About 10% of the adult population is living with type 2 diabetes mellitus (T2DM) and 1% of the population over 60 years of age is suffering from Parkinson's disease (PD). A school of thought firmly believes that T2DM, an age-related disease, augments PD risk. Such relationship is reflected from the severity of PD symptoms in drug naive subjects possessing T2DM. Onset of Parkinsonian feature in case controls possessing T2DM corroborates the role of hyperglycemia in PD. A few cohort, meta-analysis and animal studies have shown an increased PD risk owing to insulin resistance. High fat diet and role of insulin signaling in the regulation of sugar metabolism, oxidative stress, α-synuclein aggregation and accumulation, inflammatory response and mitochondrial function in PD models and sporadic PD further connect the two. Although little is reported about the implication of PD in hyperglycemia and T2DM, a few studies have also contradicted. Ameliorative effect of anti-diabetic drugs on Parkinsonian symptoms and vague outcome of anti-PD medications in T2DM patients also suggest a link. The article reviews the literature supporting augmented risk of one by the other, analysis of proof of the concept, facts, challenges, future possibilities and standpoint on the subject.
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Affiliation(s)
- Mohd Faizan
- Toxicogenomics and Predictive Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226 001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India
| | - Alika Sarkar
- Toxicogenomics and Predictive Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226 001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India
| | - Mahendra Pratap Singh
- Toxicogenomics and Predictive Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226 001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India.
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Actions of Metformin in the Brain: A New Perspective of Metformin Treatments in Related Neurological Disorders. Int J Mol Sci 2022; 23:ijms23158281. [PMID: 35955427 PMCID: PMC9368983 DOI: 10.3390/ijms23158281] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 11/17/2022] Open
Abstract
Metformin is a first-line drug for treating type 2 diabetes mellitus (T2DM) and one of the most commonly prescribed drugs in the world. Besides its hypoglycemic effects, metformin also can improve cognitive or mood functions in some T2DM patients; moreover, it has been reported that metformin exerts beneficial effects on many neurological disorders, including major depressive disorder (MDD), Alzheimer’s disease (AD) and Fragile X syndrome (FXS); however, the mechanism underlying metformin in the brain is not fully understood. Neurotransmission between neurons is fundamental for brain functions, and its defects have been implicated in many neurological disorders. Recent studies suggest that metformin appears not only to regulate synaptic transmission or plasticity in pathological conditions but also to regulate the balance of excitation and inhibition (E/I balance) in neural networks. In this review, we focused on and reviewed the roles of metformin in brain functions and related neurological disorders, which would give us a deeper understanding of the actions of metformin in the brain.
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Vijiaratnam N, Lawton M, Real R, Heslegrave AJ, Guo T, Athauda D, Gandhi S, Girges C, Ben‐Shlomo Y, Zetterberg H, Grosset DG, Morris HR, Foltynie T. Diabetes and Neuroaxonal Damage in Parkinson's Disease. Mov Disord 2022; 37:1568-1569. [PMID: 35856732 PMCID: PMC9543586 DOI: 10.1002/mds.29067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 04/18/2022] [Indexed: 11/11/2022] Open
Affiliation(s)
- Nirosen Vijiaratnam
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Michael Lawton
- School of Social and Community MedicineUniversity of BristolBristolUnited Kingdom,Department of Social MedicineUniversity of BristolBristolUnited Kingdom
| | - Raquel Real
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom,Aligning Science Across Parkinson's (ASAP) Collaborative Research NetworkChevy ChaseMarylandUSA
| | - Amanda J. Heslegrave
- Dementia Research InstituteUniversity College LondonLondonUnited Kingdom,Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen, SquareLondonUnited Kingdom
| | - Tong Guo
- Dementia Research InstituteUniversity College LondonLondonUnited Kingdom,Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen, SquareLondonUnited Kingdom
| | - Dilan Athauda
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Sonia Gandhi
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Christine Girges
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Yoav Ben‐Shlomo
- Department of Social MedicineUniversity of BristolBristolUnited Kingdom
| | - Henrik Zetterberg
- Dementia Research InstituteUniversity College LondonLondonUnited Kingdom,Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen, SquareLondonUnited Kingdom,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden,Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of GothenburgMölndalSweden,Hong Kong Center, for Neurodegenerative DiseasesHong KongPeople's Republic of China
| | - Donald G. Grosset
- Department of Neurology, Southern General HospitalUniversity of Glasgow and Institute of Neurological SciencesGlasgowUnited Kingdom
| | - Huw R. Morris
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom,Aligning Science Across Parkinson's (ASAP) Collaborative Research NetworkChevy ChaseMarylandUSA
| | - Thomas Foltynie
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
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