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Muñoz‐Delgado L, Luque‐Ambrosiani A, Zamora BB, Macías‐García D, Jesús S, Adarmes‐Gómez A, Ojeda‐Lepe E, Carrillo F, Mir P. Peripheral immune profile and neutrophil-to-lymphocyte ratio in progressive supranuclear palsy: Case-control study and meta-analysis. Eur J Neurol 2024; 31:e16451. [PMID: 39162120 PMCID: PMC11555143 DOI: 10.1111/ene.16451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 07/31/2024] [Accepted: 08/05/2024] [Indexed: 08/21/2024]
Abstract
BACKGROUND AND PURPOSE Peripheral inflammation is probably involved in the pathogenesis of progressive supranuclear palsy (PSP) and it may be a common feature with Parkinson's disease (PD). The peripheral immune profile in PSP remains unclear, as well as whether the inflammatory pathways differ from those in PD. The neutrophil-to-lymphocyte ratio (NLR) has been proven to be a well-established biomarker of systemic inflammation. This study aimed to evaluate the peripheral immune profile in PSP compared with PD. METHODS A cross-sectional study was conducted including patients with PSP and PD and healthy controls (HCs). Leukocyte subpopulations and the NLR were measured in peripheral blood. Multivariate linear regression and post hoc tests were applied. Electronic databases were searched in November 2023 to perform meta-analyses to clarify the peripheral immune profile in PSP. RESULTS Our cohort included 121 patients with PSP, 127 patients with PD and 266 HCs. The NLR was higher in PSP and PD compared with HCs. PSP had a higher neutrophil count compared with HCs. Whilst a lower lymphocyte count was found in PD compared with HCs, the lymphocyte count did not differ between PSP and HCs. The meta-analyses supported this immune profile. CONCLUSIONS PSP and PD show an increased peripheral inflammation and a higher NLR compared with HCs. Different pathogenic inflammatory mechanisms are probably involved in PSP and PD, since in PSP this altered peripheral immune profile is mainly driven by neutrophils. Understanding the neutrophils' role in PSP may allow for the development of targeted therapies.
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Grants
- PI16/01575 Instituto de Salud Carlos III
- PI18/01898 Instituto de Salud Carlos III
- PI19/01576 Instituto de Salud Carlos III
- PI20/00613 Instituto de Salud Carlos III
- CVI-02526 Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía
- CTS-7685 Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía
- NEU-0005-2022 Consejería de Salud y Consumo, Junta de Andalucía
- RTC2019-007150-1 Ministerio de Ciencia e Innovación
- PI-0471-2013 Consejería de Salud y Familia, Junta de Andalucía
- PE-0210-2018 Consejería de Salud y Familia, Junta de Andalucía
- PI-0459-2018 Consejería de Salud y Familia, Junta de Andalucía
- PE-0186-2019 Consejería de Salud y Familia, Junta de Andalucía
- PY20_00896 Consejería de Transformación Económica, Industria, Conocimiento y Universidades
- Instituto de Salud Carlos III
- Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía
- Consejería de Salud y Consumo, Junta de Andalucía
- Consejería de Transformación Económica, Industria, Conocimiento y Universidades
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Affiliation(s)
- Laura Muñoz‐Delgado
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Antonio Luque‐Ambrosiani
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
| | - Belén Benítez Zamora
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
| | - Daniel Macías‐García
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Silvia Jesús
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Astrid Adarmes‐Gómez
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Elena Ojeda‐Lepe
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Fátima Carrillo
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
- Departamento de Medicina, Facultad de MedicinaUniversidad de SevillaSevilleSpain
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
- Departamento de Medicina, Facultad de MedicinaUniversidad de SevillaSevilleSpain
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von Bernhardi R, Eugenín J. Ageing-related changes in the regulation of microglia and their interaction with neurons. Neuropharmacology 2024; 265:110241. [PMID: 39617175 DOI: 10.1016/j.neuropharm.2024.110241] [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: 06/05/2024] [Revised: 09/24/2024] [Accepted: 11/26/2024] [Indexed: 12/12/2024]
Abstract
Ageing is one of the most important risk factors for chronic health conditions, including neurodegenerative diseases. Inflammation is a feature of ageing, as well as a key pathophysiological mechanism for degenerative diseases. Microglia play multiple roles in the central nervous system; their states entail a complex assemblage of responses reflecting the multiplicity of functions they fulfil both under homeostatic basal conditions and in response to stimuli. Whereas glial cells can promote neuronal homeostasis and limit neurodegeneration, age-related inflammation (i.e. inflammaging) leads to the functional impairment of microglia and astrocytes, exacerbating their response to stimuli. Thus, microglia are key mediators for age-dependent changes of the nervous system, participating in the generation of a less supportive or even hostile environment for neurons. Whereas multiple changes of ageing microglia have been described, here we will focus on the neuron-microglia regulatory crosstalk through fractalkine (CX3CL1) and CD200, and the regulatory cytokine Transforming Growth Factor β1 (TGFβ1), which is involved in immunomodulation and neuroprotection. Ageing results in a dysregulated activation of microglia, affecting neuronal survival, and function. The apparent unresponsiveness of aged microglia to regulatory signals could reflect a restriction in the mechanisms underlying their homeostatic and reactive states. The spectrum of functions, required to respond to life-long needs for brain maintenance and in response to disease, would progressively narrow, preventing microglia from maintaining their protective functions.
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Affiliation(s)
- Rommy von Bernhardi
- Universidad San Sebastian, Faculty for Odontology and Rehabilitation Sciences. Lota 2465, Providencia, Santiago, PO. 7510602, Chile.
| | - Jaime Eugenín
- Universidad de Santiago de Chile, Faculty of Chemistry and Biology, Av. Libertador Bernardo O'Higgins 3363, Santiago, PO. 7510602, Chile.
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Yu X, Chen Z, Bao W, Jiang Y, Ruan F, Wu D, Le K. The neutrophil extracellular traps in neurological diseases: an update. Clin Exp Immunol 2024; 218:264-274. [PMID: 38975702 PMCID: PMC11557138 DOI: 10.1093/cei/uxae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/08/2024] [Accepted: 07/06/2024] [Indexed: 07/09/2024] Open
Abstract
Neutrophil extracellular traps (NETs) released by neutrophils are web-like DNA structures adhered to granulin proteins with bactericidal activity and can be an important mechanism for preventing pathogen dissemination or eliminating microorganisms. However, they also play important roles in diseases of other systems, such as the central nervous system. We tracked the latest advances and performed a review based on published original and review articles related to NETs and neurological diseases. Generally, neutrophils barely penetrate the blood-brain barrier into the brain parenchyma, but when pathological changes such as infection, trauma, or neurodegeneration occur, neutrophils rapidly infiltrate the central nervous system to exert their defensive effects. However, neutrophils may adversely affect the host when they uncontrollably release NETs upon persistent neuroinflammation. This review focused on recent advances in understanding the mechanisms and effects of NETs release in neurological diseases, and we also discuss the role of molecules that regulate NETs release in anticipation of clinical applications in neurological diseases.
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Affiliation(s)
- Xiaoping Yu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Zhaoyan Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Wei Bao
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Yaqing Jiang
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Fei Ruan
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Di Wu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Kai Le
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, Hong Kong Polytechnic University, Hong Kong S.A.R., China
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Guo Y, Zhang R, Gan X, Wang E, Lu S, Jiang H, Duan H, Yuan Z, Li W, Liu Y. Systemic Inflammation Predict Neurological Functional Outcome in Patients with Tuberculous Meningitis: A Multicenter Retrospective Cohort Study in China. J Inflamm Res 2024; 17:7561-7571. [PMID: 39464341 PMCID: PMC11512555 DOI: 10.2147/jir.s489495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/15/2024] [Indexed: 10/29/2024] Open
Abstract
Background The predictors associated with clinical outcomes in patients with tuberculous meningitis (TBM) remain unclear. We aimed to analyse the relationship between systemic inflammation and clinical outcomes, as well as to explore whether systemic inflammation level influences the effectiveness of dexamethasone on treatment. Methods Between January 2011 and December 2021, TBM patients admitted to five hospitals were observed consecutively. Baseline and post-treatment systemic inflammation levels were calculated using the neutrophil-lymphocyte-ratio (NLR). Generalized linear mixed models were employed to identify predictors of clinical outcomes. Propensity score matching and subgroup analyses were conducted to evaluate the effect of dexamethasone on treatment outcomes across different NLR levels. Results A total of 1203 TBM patients were included in the study. During the follow-up, 144 (13.6%) participants experienced early neurological deterioration within 7 days after admission, and 345 (28.67%) exhibited poor functional outcome at the 12-month follow-up. Multivariate analysis revealed that post-treatment NLR was significantly associated with early neurological deterioration (OR=1.25; 95% CI, 1.14-1.33; P<0.001), and poor outcome (OR=1.34; 95% CI, 1.26-1.45; P<0.001). After propensity score matching, dexamethasone treatment was not associated with early neurological deterioration (OR=0.83; 95% CI, 0.42-1.66; P=0.610) or poor outcome (OR=1.22; 95% CI, 0.49-2.11; P=0.490) in the highest quartile of post-treatment NLR. The effect of dexamethasone on treatment outcomes did not significantly vary with disease severity stratification. Conclusion Elevated systemic inflammation is an independent risk factor for neurological outcome in TBM patients. Further studies are required to investigate systemic inflammation in more severely affected population to better predict the outcomes following anti-inflammatory therapies.
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Affiliation(s)
- Yijia Guo
- Department of Neurology, Chengdu Medical College, The First Affiliated Hospital, Chengdu, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Ruyun Zhang
- Department of Emergency, Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xinling Gan
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Erli Wang
- Department of Radiology, The First People’s Hospital of Longquanyi District, Chengdu, People’s Republic of China
| | - Shuihua Lu
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People’s Hospital, Southern University of Science and Technology, Shenzhen, People’s Republic of China
| | - Hui Jiang
- Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Hongfei Duan
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Zhengzhou Yuan
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
| | - Weimin Li
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China
- National Tuberculosis Clinical Laboratory of China, Beijing Key Laboratory in Drug Resistance Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Yong Liu
- Department of Neurology, Chengdu Medical College, The First Affiliated Hospital, Chengdu, People’s Republic of China
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Lucero J, Gurnani A, Weinberg J, Shih LC. Neutrophil-to-lymphocyte ratio and longitudinal cognitive performance in Parkinson's disease. Ann Clin Transl Neurol 2024; 11:2301-2313. [PMID: 39031909 PMCID: PMC11537143 DOI: 10.1002/acn3.52144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 06/18/2024] [Accepted: 06/21/2024] [Indexed: 07/22/2024] Open
Abstract
OBJECTIVE Previous studies have suggested a link between peripheral inflammation and cognitive outcomes in the general population and individuals with Parkinson's disease (PD). We sought to test the association between peripheral inflammation, measured by the neutrophil-to-lymphocyte ratio (NLR), cognitive performance, and mild cognitive impairment (MCI) status in individuals with PD. METHODS A retrospective, longitudinal analysis was carried out using data from the Parkinson's Progression Markers Initiative (PPMI), including 422 participants with PD followed over 5 years. Cognitive performance was assessed using a neuropsychological battery including the Montreal Cognitive Assessment (MoCA) and tests of verbal learning, visuospatial function, processing speed, and executive function. Mixed-effect regression models were used to analyze the association between NLR, cognitive performance, and MCI status, controlling for age, sex, education, APOE genotype, and motor severity. RESULTS There was a negative association between NLR and MoCA, even after adjusting for covariates (b = -0.12, p = 0.033). MoCA scores for individuals in the high NLR category exhibited a more rapid decline over time compared to the low NLR group (b = -0.16, p = 0.012). Increased NLR was associated with decreased performance across all cognitive domains. However, NLR was not associated with MCI status over 5 years of follow-up. INTERPRETATION This study demonstrates a link between elevated NLR and cognitive performance in PD, but not with MCI status over 5 years. This suggests that NLR is more strongly associated with day-to-day cognitive performance than with incident MCI, but this requires further study in more heterogeneous cohorts.
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Affiliation(s)
- Jenniffer Lucero
- Department of NeurologyBoston University Chobanian and Avedisian School of MedicineBostonMassachusetts02118USA
- Department of NeurologyBoston Medical CenterBostonMassachusetts02118USA
| | - Ashita Gurnani
- Department of NeurologyBoston University Chobanian and Avedisian School of MedicineBostonMassachusetts02118USA
| | - Janice Weinberg
- Department of BiostatisticsBoston University School of Public HealthBoston02118MassachusettsUSA
| | - Ludy C Shih
- Department of NeurologyBoston University Chobanian and Avedisian School of MedicineBostonMassachusetts02118USA
- Department of NeurologyBoston Medical CenterBostonMassachusetts02118USA
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Nona RJ, Henderson RD, McCombe PA. Neutrophil-to-lymphocyte ratio at diagnosis as a biomarker for survival of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:452-464. [PMID: 38745425 DOI: 10.1080/21678421.2024.2351187] [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: 11/01/2023] [Revised: 04/22/2024] [Accepted: 04/29/2024] [Indexed: 05/16/2024]
Abstract
INTRODUCTION The neutrophil-to-lymphocyte ratio (NLR) has previously been reported to be associated with survival in ALS. To provide further information about the role of NLR as a biomarker in ALS, we performed a systematic review, analyzed data from our local cohort of ALS subjects and performed a meta-analysis. METHODS (1) The systematic review used established methods. (2) Using data from our cohort of subjects, we analyzed the association of NLR with survival. (3) Meta-analysis was performed using previous studies and our local data. RESULTS (1) In the systematic review, higher NLR was associated with shorter survival in all studies. (2) In our subjects, survival was significantly shorter in patients in the highest NLR groups. (3) Meta-analysis showed subjects with highest NLR tertile or with NLR >3 had significantly shorter survival than other subjects. DISCUSSION This study supports NLR as a biomarker in ALS; high NLR is associated with poor survival.
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Affiliation(s)
- Robert J Nona
- University of Queensland Centre for Clinical Research, Brisbane, Queensland, Australia and
| | - Robert D Henderson
- University of Queensland Centre for Clinical Research, Brisbane, Queensland, Australia and
- Department of Neurology, The Royal Brisbane & Women's Hospital, Brisbane, Queensland, Australia
| | - Pamela A McCombe
- University of Queensland Centre for Clinical Research, Brisbane, Queensland, Australia and
- Department of Neurology, The Royal Brisbane & Women's Hospital, Brisbane, Queensland, Australia
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Zhang Z, Wang Y, Wang J, Cai Y, Liu P, Liu S, Wu J, Xie X. The role of peripheral inflammation-related biomarkers in distinguishing Parkinson's disease. Parkinsonism Relat Disord 2024; 123:106102. [PMID: 38507892 DOI: 10.1016/j.parkreldis.2024.106102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/08/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Peripheral inflammation plays a significant role in Parkinson's disease (PD). Conflicting studies on whether inflammatory indicators in blood could serve as biomarkers to distinguish PD. OBJECTIVE Include a wider range of biomarkers and control confounding factors to comprehensively evaluate the value of peripheral inflammation-related indicators. METHODS A total of 80 PD patients were recruited and 80 one-to-one matched healthy controls (HCs). The levels of B-cell, T-cell, and natural killer (NK)-cell in blood were measured using flow cytometry. The levels of neurodegeneration-related proteins in serum were detected and clinical blood test results were collected. Multivariable logistic regression analysis was conducted to explore the role of significant variables in PD. Receiver operating characteristic curve analysis was performed to assess the potential value of these variables. RESULTS Compared to HCs, PD patients showed lower levels of lymphocyte, B-cell, T-cell, high-density lipoprotein cholesterol (HDL-C) and lymphocyte-to-monocyte ratio, while the levels of neutrophil, NK-cell, β-amyloid40, neurofilament light chain, neutrophil-to-lymphocyte ratio, and neutrophil-to-HDL-C ratio (NHR) were increased. A higher B-cell count was associated with a lower risk of PD, while higher levels of NK-cell and NHR were associated with a higher risk of PD. B-cell, NK-cell and NHR have potential value in distinguishing PD from non-PD. B-cell and NHR levels were significantly correlated with PD dyskinesia scores. CONCLUSIONS B-cell, NK-cell, and NHR may potentially contribute to distinguishing PD patients from HCs. There could be a correlation between the number of B-cell, the level of NHR, and the severity of PD dyskinesia.
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Affiliation(s)
- Zhuo Zhang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Yue Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Jin Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Ying Cai
- Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Peipei Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Shoufeng Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Jialing Wu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China; Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital, Tianjin, China.
| | - Xin Xie
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China; Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital, Tianjin, China.
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Gialluisi A, Tirozzi A, Costanzo S, De Bartolo MI, Belvisi D, Magnacca S, De Curtis A, Falciglia S, Ricci M, Cerletti C, Donati MB, Berardelli A, de Gaetano G, Iacoviello L. Blood-based biological ageing and red cell distribution width are associated with prevalent Parkinson's disease: findings from a large Italian population cohort. Front Endocrinol (Lausanne) 2024; 15:1376545. [PMID: 38660510 PMCID: PMC11041016 DOI: 10.3389/fendo.2024.1376545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 03/22/2024] [Indexed: 04/26/2024] Open
Abstract
Background Aging clocks tag the actual underlying age of an organism and its discrepancy with chronological age and have been reported to predict incident disease risk in the general population. However, the relationship with neurodegenerative risk and in particular with Parkinson's Disease (PD) remains unclear, with few discordant findings reporting associations with both incident and prevalent PD risk. Objective To clarify this relationship, we computed a common aging clock based on blood markers and tested the resulting discrepancy with chronological age (ΔPhenoAge) for association with both incident and prevalent PD risk. Methods In a large Italian population cohort - the Moli-sani study (N=23,437; age ≥ 35 years; 52% women) - we carried out both Cox Proportional Hazards regressions modelling ΔPhenoAge as exposure and incident PD as outcome, and linear models testing prevalent PD as exposure and ΔPhenoAge as outcome. All models were incrementally adjusted for age, sex, education level completed and other risk/protective factors previously associated with PD risk in the same cohort (prevalent dysthyroidism, hypertension, diabetes, use of oral contraceptives, exposure to paints, daily coffee intake and cigarette smoking). Results No significant association between incident PD risk (209 cases, median (IQR) follow-up time 11.19 (2.03) years) and PhenoAging was observed (Hazard Ratio [95% Confidence Interval] = 0.98 [0.71; 1.37]). However, a small but significant increase of ΔPhenoAge was observed in prevalent PD cases vs healthy subjects (β (Standard Error) = 1.39 (0.70)). An analysis of each component biomarker of PhenoAge revealed a significant positive association of prevalent PD status with red cell distribution width (RDW; β (SE) = 0.46 (0.18)). All the remaining markers did not show any significant evidence of association. Conclusion The reported evidence highlights systemic effects of prevalent PD status on biological aging and red cell distribution width. Further cohort and functional studies may help shedding a light on the related pathways altered at the organism level in prevalent PD, like red cells variability, inflammatory and oxidative stress mechanisms.
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Affiliation(s)
- Alessandro Gialluisi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
- Department of Medicine and Surgery, LUM University, Casamassima, Italy
| | - Alfonsina Tirozzi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | | | - Daniele Belvisi
- IRCCS NEUROMED, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Sara Magnacca
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Amalia De Curtis
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Stefania Falciglia
- UOC Governance del Farmaco, Azienda Sanitaria Regionale del Molise –ASREM, Campobasso, Italy
| | - Moreno Ricci
- UOC Governance del Farmaco, Azienda Sanitaria Regionale del Molise –ASREM, Campobasso, Italy
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | | | - Alfredo Berardelli
- IRCCS NEUROMED, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
- Department of Medicine and Surgery, LUM University, Casamassima, Italy
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Zhang F, Chen B, Ren W, Yan Y, Zheng X, Jin S, Chang Y. Association analysis of dopaminergic degeneration and the neutrophil-to-lymphocyte ratio in Parkinson's disease. Front Aging Neurosci 2024; 16:1377994. [PMID: 38650864 PMCID: PMC11033456 DOI: 10.3389/fnagi.2024.1377994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 03/28/2024] [Indexed: 04/25/2024] Open
Abstract
Introduction Peripheral inflammatory responses are suggested to play a major role in the pathophysiology of Parkinson's disease (PD). The neutrophil-to-lymphocyte ratio (NLR), a new recognized biomarker, can reflect peripheral inflammation in PD. However, the association between the NLR and dopaminergic degeneration in PD remains unclear. Methods In this retrospective study, 101 enrolled PD patients were categorized into early-stage and advanced-stage PD based on the Hoehn and Yahr (HY) scale. We evaluated the clinical characteristics, peripheral immune profile, and 11C-CFT striatal dopamine transporter (DAT) binding levels. Linear regression analyses were employed to assess the associations between NLR and striatal DAT levels at different stages in PD patients. Results Covariate-controlled regression analysis revealed that higher NLR was significantly associated with lower DAT levels in the caudate (β = -0.27, p = 0.003) and the putamen (β = -0.27, p = 0.011). Moreover, in the early-stage PD subgroup, a similar association was observed (caudate: β = -0.37, p = 0.013; putamen: β = -0.45, p = 0.005). The lymphocytes count was correlated positively with the striatal DAT levels in the Spearman correlation analysis whether in total patients (caudate: ρ = 0.25, p = 0.013; putamen: ρ = 0.22, p = 0.026) or in the early-stage subgroup (caudate: ρ = 0.31, p = 0.023, putamen: ρ = 0.34, p = 0.011). Conclusion Dopaminergic degeneration is associated with peripheral inflammation in PD. The NLR, a widely used inflammatory marker, may have the potential to reflect the degree of dopaminergic degeneration in individuals with early-stage PD.
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Affiliation(s)
- Fengjiao Zhang
- Departments of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Bin Chen
- Departments of Nuclear Medicine, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Wenhua Ren
- Departments of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Yayun Yan
- Departments of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Xiaoqi Zheng
- Departments of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Shuxian Jin
- Departments of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Ying Chang
- Departments of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
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Xia JQ, Cheng YF, Zhang SR, Ma YZ, Fu JJ, Yang TM, Zhang LY, Burgunder JM, Shang HF. The characteristic and prognostic role of blood inflammatory markers in patients with Huntington's disease from China. Front Neurol 2024; 15:1374365. [PMID: 38595854 PMCID: PMC11002148 DOI: 10.3389/fneur.2024.1374365] [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: 01/22/2024] [Accepted: 03/15/2024] [Indexed: 04/11/2024] Open
Abstract
Objectives This study aims to elucidate the role of peripheral inflammation in Huntington's disease (HD) by examining the correlation of peripheral inflammatory markers with clinical manifestations and disease prognosis. Methods This investigation involved 92 HD patients and 92 matched healthy controls (HCs). We quantified various peripheral inflammatory markers and calculated their derived metrics including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII). Clinical assessments spanning cognitive, motor, and disease severity were administered. Comparative analysis of inflammatory markers and clinical correlations between HD and controls was performed. Kaplan-Meier survival analysis and Cox regression model were used to assess the effect of inflammatory markers on survival. Results The study revealed that HD patients had significantly reduced lymphocyte counts, and LMR. Conversely, NLR, PLR, and SII were elevated compared to HCs. Lymphocyte levels inversely correlated with the age of onset and monocyte levels inversely correlated with the UHDRS-total functional capacity (TFC) scores. After adjusting for age, sex, and CAG repeat length, lymphocyte count, NLR, PLR, and SII were significantly correlated with the progression rate of TFC scores. Elevated levels of white blood cells and monocytes were associated with an increased risk of disability and mortality in the HD cohort. Conclusion Our findings indicate that HD patients display a distinct peripheral inflammatory profile with increased NLR, PLR, and SII levels compared to HCs. The peripheral inflammation appears to be linked with accelerated disease progression and decreased survival in HD.
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Affiliation(s)
- Jie-Qiang Xia
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Neurology, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Yang-Fan Cheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Si-Rui Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuan-Zheng Ma
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jia-Jia Fu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tian-Mi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ling-Yu Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jean-Marc Burgunder
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Neurology, Swiss Huntington's Disease Centre, Siloah, University of Bern, Bern, Switzerland
| | - Hui-Fang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Wang H, Liu YT, Ren YL, Guo XY, Wang Y. Association of peripheral immune activation with amyotrophic lateral sclerosis and Parkinson's disease: A systematic review and meta-analysis. J Neuroimmunol 2024; 388:578290. [PMID: 38301596 DOI: 10.1016/j.jneuroim.2024.578290] [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: 09/13/2023] [Revised: 11/19/2023] [Accepted: 01/11/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Recent studies have revealed the link between immune activation and neurodegenerative diseases. METHODS By employing meta-analysis, we estimated the standardized mean difference (SMD) and their corresponding 95% confidence intervals (CIs) between the groups. RESULTS According to the pre-set criteria, a total of 21 published articles including 2377 ALS patients and 1244 HCs, as well as 60 articles including 5111 PD patients and 4237 HCs, were identified. This study provided evidence of peripheral immune activation in the pathogenesis of ALS and PD. CONCLUSION Our results suggested monitoring changes in peripheral blood immune cell populations, particularly lymphocyte subsets, will benefit understanding the developments and exploring reliable and specific biomarkers of these two diseases.
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Affiliation(s)
- Han Wang
- Department of Pathophysiology, West China College of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Yi-Ti Liu
- Department of Neurology, Neurological Diseases and Brain Function Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yan-Ling Ren
- Department of Pathophysiology, West China College of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Xiao-Yan Guo
- Department of Neurology, Neurological Diseases and Brain Function Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
| | - Yi Wang
- Department of Pathophysiology, West China College of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
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Deng M, Song K, Tong Y, Chen S, Xu W, He G, Hu J, Xiao H, Wan C, Wang Z, Li F. Higher fibrinogen and neutrophil-to-lymphocyte ratio are associated with the early poor response to intravenous thrombolysis in acute ischemic stroke. Front Neurol 2024; 15:1291950. [PMID: 38456149 PMCID: PMC10919149 DOI: 10.3389/fneur.2024.1291950] [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: 09/18/2023] [Accepted: 02/06/2024] [Indexed: 03/09/2024] Open
Abstract
Background Inflammation and platelet activation play pivotal roles in acute ischemic stroke (AIS) pathogenesis. Early response to thrombolysis is a vital indicator for the long-term prognosis of AIS. However, the correlation between fibrinogen or the neutrophil-to-lymphocyte ratio (NLR) and the early response to intravenous thrombolysis in patients with AIS remains unclear. Methods AIS patients undergoing intravenous thrombolysis were enrolled between January 2018 and May 2023. Blood cell counts were sampled before thrombolysis. A good response was defined as a National Institutes of Health Stroke Scale (NIHSS) score decreased ≥4 or complete recovery 24 h after thrombolysis treatment. A poor response was defined as any increase in the NIHSS score or a decrease in the NIHSS score <4 at the 24 h after thrombolysis treatment compared with that at admission. Logistic regression analysis was performed to explore the relationship of the fibrinogen level and NLR with a poor thrombolysis response. Receiver operating characteristic (ROC) analysis was used to assess the ability of the fibrinogen level and NLR to discriminate poor responders. Results Among 700 recruited patients, 268 (38.29%) were diagnosed with a good response, and 432 (61.71%) were diagnosed with a poor response to intravenous thrombolysis. A binary logistic regression model indicated that an elevated fibrinogen level (odds ratio [OR], 1.693; 95% confidence interval [CI] 1.325-2.122, P < 0.001) and NLR (OR, 1.253; 95% CI, 1.210-2.005, P = 0.001) were independent factors for a poor response. The area under the curve (AUC) values for the fibrinogen level, NLR and fibrinogen level combined with the NLR for a poor response were 0.708, 0.605, and 0.728, respectively. Conclusions Our research indicates that the levels of fibrinogen and NLR at admission can be used as a prognostic factor to predict early poor response to intravenous thrombolysis.
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Affiliation(s)
- Mingzhu Deng
- Department of Neurology, Brain Hospital of Hunan Province, The Second People's Hospital of Hunan Province, Changsha, Hunan, China
| | - Kangping Song
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Yangping Tong
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Sufen Chen
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Wei Xu
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Guohua He
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Jue Hu
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Hui Xiao
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Changmin Wan
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Zhen Wang
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Fangyi Li
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
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13
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Yuan X, Wan L, Chen Z, Long Z, Chen D, Liu P, Fu Y, Zhu S, Peng L, Qiu R, Tang B, Jiang H. Peripheral Inflammatory and Immune Landscape in Multiple System Atrophy: A Cross-Sectional Study. Mov Disord 2024; 39:391-399. [PMID: 38155513 DOI: 10.1002/mds.29674] [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: 04/17/2023] [Revised: 09/16/2023] [Accepted: 11/09/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Neuroinflammation might contribute to the pathogenesis of multiple systemic atrophy (MSA). However, specific alterations in the peripheral inflammatory and immune profiles of patients with MSA remain unclear. OBJECTIVES To determine the peripheral inflammatory and immune profiles of patients with MSA and their potential value as biomarkers for facilitating clinical diagnosis and monitoring disease severity. METHODS This cross-sectional study included 235, 240, and 235 patients with MSA, patients with Parkinson's disease (PD), and healthy controls (HCs), respectively. Inflammatory and immune parameters were measured in peripheral blood, differences between groups were assessed, and clusters were analyzed. Associations between the parameters and clinical characteristics of MSA were assessed using Spearman and partial correlation analyses. RESULTS Significant differences were observed especially in monocytes, neutrophils-to-lymphocyte ratio (NLR) and neutrophils-to-lymphocyte ratio (MPV) between MSA patients and HCs (P < 0.01). Monocytes and uric acid (UA) levels were also significantly different between the MSA and PD patients (P < 0.05). The combination of NLR and MPV distinguished MSA-P patients from HCs (areas under the curve = 0.824). In addition, complement components C4 and C3 were significantly correlated with the Scale Outcomes in PD for Autonomic Symptoms and Wexner scale, whereas immunoglobulin G (IgG) was significantly correlated with scores of Unified Multiple System Atrophy Rating Scale (P < 0.05). CONCLUSIONS In MSA patients, monocytes, NLR and MPV might serve as potential diagnostic biomarkers, whereas MLR, C3, C4, and IgG significantly correlate with disease severity. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Xinrong Yuan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National International Collaborative Research Center for Medical Metabolomics, Central South University, Changsha, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
| | - Zhe Long
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Daji Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Panyan Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - You Fu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Sudan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Linliu Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Rong Qiu
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- National International Collaborative Research Center for Medical Metabolomics, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
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14
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Li F, Weng G, Zhou H, Zhang W, Deng B, Luo Y, Tao X, Deng M, Guo H, Zhu S, Wang Q. The neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and neutrophil-to-high-density-lipoprotein ratio are correlated with the severity of Parkinson's disease. Front Neurol 2024; 15:1322228. [PMID: 38322584 PMCID: PMC10844449 DOI: 10.3389/fneur.2024.1322228] [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: 10/16/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
Background Inflammation plays a pivotal role in the pathogenesis of Parkinson's disease (PD). However, the correlation between peripheral inflammatory markers and the severity of PD remains unclear. Methods The following items in plasma were collected for assessment among patients with PD (n = 303) and healthy controls (HCs; n = 303) were assessed for the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-high-density-lipoprotein ratio (NHR) in plasma, and neuropsychological assessments were performed for all patients with PD. Spearman rank or Pearson correlation was used to evaluate the correlation between the NLR, the LMR and the NHR and the severity of PD. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the NLR, LMR and NHR for PD. Results The plasma NLR and NHR were substantially higher in patients with PD than in HCs, while the plasma LMR was substantially lower. The plasma NLR was positively correlated with Hoehn and Yahr staging scale (H&Y), Unified Parkinson's Disease Rating Scale (UPDRS), UPDRS-I, UPDRS-II, and UPDRS-III scores. Conversely, it exhibited a negative relationship with Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Furthermore, the plasma NHR was positively correlated with H&Y, UPDRS, UPDRS-I, UPDRS-II and UPDRS-III scores. Moreover, negative associations were established between the plasma LMR and H&Y, UPDRS, UPDRS-I, UPDRS-II, and UPDRS-III scores. Finally, based on the ROC curve analysis, the NLR, LMR and NHR exhibited respectable PD discriminating power. Conclusion Our research indicates that a higher NLR and NHR and a lower LMR may be relevant for assessing the severity of PD and appear to be promising disease-state biomarker candidates.
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Affiliation(s)
- Fangyi Li
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
- Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Guomei Weng
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
- Department of Neurology, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Hang Zhou
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Wenjie Zhang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Bin Deng
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Yuqi Luo
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Xi Tao
- Department of Neurological Rehabilitation, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Mingzhu Deng
- Department of Neurology, Brain Hospital of Hunan Province, The Second People’s Hospital of Hunan Province, Changsha, China
| | - Haiqiang Guo
- Department of Neurology, Dafeng Hospital of Chaoyang District in Shantou City, Shantou, China
| | - Shuzhen Zhu
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Qing Wang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
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15
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Morris HR, Spillantini MG, Sue CM, Williams-Gray CH. The pathogenesis of Parkinson's disease. Lancet 2024; 403:293-304. [PMID: 38245249 DOI: 10.1016/s0140-6736(23)01478-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/31/2022] [Accepted: 07/13/2023] [Indexed: 01/22/2024]
Abstract
Parkinson's disease is a progressive neurodegenerative condition associated with the deposition of aggregated α-synuclein. Insights into the pathogenesis of Parkinson's disease have been derived from genetics and molecular pathology. Biochemical studies, investigation of transplanted neurons in patients with Parkinson's disease, and cell and animal model studies suggest that abnormal aggregation of α-synuclein and spreading of pathology between the gut, brainstem, and higher brain regions probably underlie the development and progression of Parkinson's disease. At a cellular level, abnormal mitochondrial, lysosomal, and endosomal function can be identified in both monogenic and sporadic Parkinson's disease, suggesting multiple potential treatment approaches. Recent work has also highlighted maladaptive immune and inflammatory responses, possibly triggered in the gut, that accelerate the pathogenesis of Parkinson's disease. Although there are currently no disease-modifying treatments for Parkinson's disease, we now have a solid basis for the development of rational neuroprotective therapies that we hope will halt the progression of this disabling neurological condition.
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Affiliation(s)
- Huw R Morris
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK; University College London Movement Disorders Centre, University College London, London, UK; Aligning Science Across Parkinson's Collaborative Research Network, Chevy Chase, MD, USA.
| | - Maria Grazia Spillantini
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Aligning Science Across Parkinson's Collaborative Research Network, Chevy Chase, MD, USA
| | - Carolyn M Sue
- Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia; Department of Neurology, South Eastern Sydney Local Health District, Sydney, NSW, Australia; Aligning Science Across Parkinson's Collaborative Research Network, Chevy Chase, MD, USA; Neuroscience Research Australia, Randwick, NSW, Australia.
| | - Caroline H Williams-Gray
- John Van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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16
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Pike SC, Havrda M, Gilli F, Zhang Z, Salas LA. Immunological shifts during early-stage Parkinson's disease identified with DNA methylation data on longitudinally collected blood samples. NPJ Parkinsons Dis 2024; 10:21. [PMID: 38212355 PMCID: PMC10784484 DOI: 10.1038/s41531-023-00626-6] [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: 06/08/2023] [Accepted: 12/18/2023] [Indexed: 01/13/2024] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease in the United States. Decades before motor symptoms manifest, non-motor symptoms such as hyposmia and rapid eye movement (REM) sleep behavior disorder are highly predictive of PD. Previous immune profiling studies have identified alterations to the proportions of immune cells in the blood of clinically defined PD patients. However, it remains unclear if these phenotypes manifest before the clinical diagnosis of PD. We utilized longitudinal DNA methylation (DNAm) microarray data from the Parkinson's Progression Marker's Initiative (PPMI) to perform immune profiling in clinically defined PD and prodromal PD patients (Prod). We identified previously reported changes in neutrophil, monocyte, and T cell numbers in PD patients. Additionally, we noted previously unrecognized decreases in the naive B cell compartment in the defined PD and Prod patient group. Over time, we observed the proportion of innate immune cells in PD blood increased, but the proportion of adaptive immune cells decreased. We identified decreases in T and B cell subsets associated with REM sleep disturbances and early cognitive decline. Lastly, we identified increases in B memory cells associated with both genetic (LRRK2 genotype) and infectious (cytomegalovirus seropositivity) risk factors of PD. Our analysis shows that the peripheral immune system is dynamic as the disease progresses. The study provides a platform to understand how and when peripheral immune alterations occur in PD and whether intervention at particular stages may be therapeutically advantageous.
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Affiliation(s)
- Steven C Pike
- Integrative Neuroscience at Dartmouth, Guarini School of Graduate and Advanced Studies at Dartmouth College, Hanover, NH, USA.
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
- Department of Neurology, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA.
| | - Matthew Havrda
- Integrative Neuroscience at Dartmouth, Guarini School of Graduate and Advanced Studies at Dartmouth College, Hanover, NH, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA
| | - Francesca Gilli
- Integrative Neuroscience at Dartmouth, Guarini School of Graduate and Advanced Studies at Dartmouth College, Hanover, NH, USA
- Department of Neurology, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | - Ze Zhang
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
| | - Lucas A Salas
- Integrative Neuroscience at Dartmouth, Guarini School of Graduate and Advanced Studies at Dartmouth College, Hanover, NH, USA.
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
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17
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Patel B, Greenland JC, Williams-Gray CH. Clinical Trial Highlights: Anti-Inflammatory and Immunomodulatory Agents. JOURNAL OF PARKINSON'S DISEASE 2024; 14:1283-1300. [PMID: 39331111 PMCID: PMC11492043 DOI: 10.3233/jpd-240353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/13/2024] [Indexed: 09/28/2024]
Abstract
Inflammation and immune dysregulation have been linked to the pathogenesis and progression of Parkinson's disease (PD), and represent an attractive target for therapeutic intervention, given the potential for repurposing of existing anti-inflammatory and immunomodulatory agents. Despite the fact that initial studies of drugs with secondary anti-inflammatory effects did not yield positive results, agents specifically targeting immune and inflammatory pathways may hold more promise. This article will briefly review the evidence base for targeting the immune system and neuroinflammation in PD, and discuss in detail the recently completed and currently active trials of primary anti-inflammatory/immunomodulatory drugs in PD.
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Affiliation(s)
- Bina Patel
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0PY, UK
| | - Julia C. Greenland
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0PY, UK
| | - Caroline H. Williams-Gray
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0PY, UK
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18
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Pilotto A, Zanusso G, Antelmi E, Okuzumi A, Zatti C, Lupini A, Bongianni M, Padovani A, Hattori N. Biofluid Markers and Tissue Biopsies Analyses for the Prodromal and Earliest Phase of Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:S333-S344. [PMID: 39331105 PMCID: PMC11494635 DOI: 10.3233/jpd-240007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/09/2024] [Indexed: 09/28/2024]
Abstract
The recent development of new methods to detect misfolded α-synuclein (αSyn) aggregates in biofluids and tissue biopsies in the earliest Parkinson's disease (PD) phases is dramatically challenging the biological definition of PD. The αSyn seed amplification methods in cerebrospinal fluid (CSF) showed high sensitivity and specificity for early diagnosis of PD and Lewy bodies disorders. Several studies in isolated REM sleep behavior disorders and other at-risk populations also demonstrated a high prevalence of CSF αSyn positivity and its potential value in predicting the phenoconversion to clinically manifested diseases. Growing evidence exists for αSyn aggregates in olfactory mucosa, skin, and other tissues in subjects with PD or at-risk subjects. DOPA decarboxylase and numerous other candidates have been additionally proposed for either diagnostic or prognostic purposes in earliest PD phases. The newly described αSyn detection in blood, through its quantification in neuronally-derived exosome vesicles, represents a technical challenge that could open a new scenario for the biological diagnosis of PD. Despite this growing evidence in the field, most of method of αSyn detection and markers still need to be validated in ongoing longitudinal studies through an accurate assessment of different prodromal disease subtypes and scenarios before being definitively implemented in clinical settings.
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Affiliation(s)
- Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Laboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, Italy
- Neurobiorepository and Laboratory of Advanced Biological Markers, University of Brescia and ASST Spedali Civili of Brescia, Brescia, Italy
| | - Gianluigi Zanusso
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Elena Antelmi
- Neurology Unit, Parkinson Disease and Movement Disorders Division, Department of Engineering and Medicine of Innovation, University of Verona, Verona, Italy
| | - Ayami Okuzumi
- Department of Neurology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Cinzia Zatti
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Laboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, Italy
| | - Alessandro Lupini
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Laboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, Italy
| | - Matilde Bongianni
- Neurobiorepository and Laboratory of Advanced Biological Markers, University of Brescia and ASST Spedali Civili of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Laboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, Italy
- Neurobiorepository and Laboratory of Advanced Biological Markers, University of Brescia and ASST Spedali Civili of Brescia, Brescia, Italy
- Brain Health Center, University of Brescia, Brescia, Italy
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Faculty of Medicine, Tokyo, Japan
- Neurodegenerative Disorders Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, Japan
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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: 4] [Impact Index Per Article: 4.0] [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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20
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Kim R, Kang N, Byun K, Park K, Jun JS. Prognostic significance of peripheral neutrophils and lymphocytes in early untreated Parkinson's disease: an 8-year follow-up study. J Neurol Neurosurg Psychiatry 2023; 94:1040-1046. [PMID: 37451695 DOI: 10.1136/jnnp-2022-330394] [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: 09/14/2022] [Accepted: 06/22/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND To explore whether peripheral blood neutrophils and lymphocytes are associated with longitudinal motor and cognitive decline in patients with early Parkinson's disease (PD) and, to uncover the disease-specific mechanisms underlying these associations. METHODS Data were obtained from the Parkinson's Progression Markers Initiative cohort. We included 376 patients with recently diagnosed, drug-naïve PD and 178 matched healthy controls. The patients underwent annual assessments, including the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part 3 test to measure motor function and the Montreal Cognitive Assessment (MoCA) to measure cognitive function, for up to 8 years of follow-up. Dopamine transporter (DAT) imaging was performed at baseline and the 1-year, 2-year and 4-year follow-up visits. RESULTS At baseline, patients with PD showed higher neutrophil and lower lymphocyte counts, resulting in a higher neutrophil-to-lymphocyte ratio (NLR) than that in healthy controls. Higher neutrophil counts were associated with a greater increase in MDS-UPDRS part 3 scores in patients with PD (estimate: 0.25, 95% CI: 0.12 to 0.37, p<0.001). Correspondingly, higher neutrophil levels were related to a greater reduction in DAT activity in the caudate (estimate: -0.007, 95% CI: -0.014 to -0.001, p=0.046) and putamen (estimate: -0.0039, 95% CI: -0.0077 to -0.0002, p=0.042). However, there were no significant effects of lymphocyte count and NLR on changes in the MDS-UPDRS part 3 and MoCA scores and striatal DAT uptake over time. CONCLUSION Among the blood biomarkers, only a higher neutrophil count was associated with faster motor progression along with accelerated nigrostriatal dopaminergic degeneration in patients with PD. The impact of neutrophils and lymphocytes on longitudinal cognitive changes remains unclear. TRIAL REGISTRATION NUMBER NCT01141023.
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Affiliation(s)
- Ryul Kim
- Department of Neurology, Inha University Hospital, Inha University College of Medicine, Incheon, Korea (the Republic of)
| | - Nyeonju Kang
- Division of Sport Science, Incheon National University, Incheon, Korea (the Republic of)
| | - Kyeongho Byun
- Division of Sport Science, Incheon National University, Incheon, Korea (the Republic of)
| | - Kiwon Park
- Department of Mechatronics Engineering, Incheon National University, Incheon, Korea (the Republic of)
| | - Jin-Sun Jun
- Department of Neurology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea (the Republic of)
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21
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Capelle CM, Ciré S, Hedin F, Hansen M, Pavelka L, Grzyb K, Kyriakis D, Hunewald O, Konstantinou M, Revets D, Tslaf V, Marques TM, Gomes CPC, Baron A, Domingues O, Gomez M, Zeng N, Betsou F, May P, Skupin A, Cosma A, Balling R, Krüger R, Ollert M, Hefeng FQ. Early-to-mid stage idiopathic Parkinson's disease shows enhanced cytotoxicity and differentiation in CD8 T-cells in females. Nat Commun 2023; 14:7461. [PMID: 37985656 PMCID: PMC10662447 DOI: 10.1038/s41467-023-43053-0] [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: 07/07/2022] [Accepted: 10/31/2023] [Indexed: 11/22/2023] Open
Abstract
Neuroinflammation in the brain contributes to the pathogenesis of Parkinson's disease (PD), but the potential dysregulation of peripheral immunity has not been systematically investigated for idiopathic PD (iPD). Here we showed an elevated peripheral cytotoxic immune milieu, with more terminally-differentiated effector memory (TEMRA) CD8 T, CD8+ NKT cells and circulating cytotoxic molecules in fresh blood of patients with early-to-mid iPD, especially females, after analyzing > 700 innate and adaptive immune features. This profile, also reflected by fewer CD8+FOXP3+ T cells, was confirmed in another subcohort. Co-expression between cytotoxic molecules was selectively enhanced in CD8 TEMRA and effector memory (TEM) cells. Single-cell RNA-sequencing analysis demonstrated the accelerated differentiation within CD8 compartments, enhanced cytotoxic pathways in CD8 TEMRA and TEM cells, while CD8 central memory (TCM) and naïve cells were already more-active and transcriptionally-reprogrammed. Our work provides a comprehensive map of dysregulated peripheral immunity in iPD, proposing candidates for early diagnosis and treatments.
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Affiliation(s)
- Christophe M Capelle
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2 Av. de Université, L-4365, Esch-sur-Alzette, Luxembourg
- Institute of Microbiology, ETH Zurich, Vladimir-Prelog-Weg 4, CH-8049, Zurich, Switzerland
| | - Séverine Ciré
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Eligo Bioscience, 111 Av. de France, 75013, Paris, France
| | - Fanny Hedin
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Maxime Hansen
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg
| | - Lukas Pavelka
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Kamil Grzyb
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
| | - Dimitrios Kyriakis
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Icahn School of Medicine at Mount Sinai, New York, NY, 10029-5674, USA
| | - Oliver Hunewald
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Maria Konstantinou
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Dominique Revets
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Vera Tslaf
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2 Av. de Université, L-4365, Esch-sur-Alzette, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Tainá M Marques
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Clarissa P C Gomes
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
| | - Alexandre Baron
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Olivia Domingues
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Mario Gomez
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Ni Zeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2 Av. de Université, L-4365, Esch-sur-Alzette, Luxembourg
| | - Fay Betsou
- Integrated Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (LIH), 1 Rue Louis Rech, L-3555, Dudelange, Luxembourg
- CRBIP, Institut Pasteur, Université Paris Cité, Paris, France
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Department of Physics and Material Science, University of Luxembourg, 162a Av. de la Faïencerie, L-1511, Luxembourg, Luxembourg
- Department of Neurosciences, University California San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093-0662, USA
| | - Antonio Cosma
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Institute of Molecular Psychiatry, University of Bonn, Venusberg-Campus 1, D-53127, Bonn, Germany
| | - Rejko Krüger
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
- Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, Odense, 5000C, Denmark.
| | - Feng Q Hefeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
- Data Integration and Analysis Unit, Luxembourg Institute of Health (LIH), L-1445, Strassen, Luxembourg.
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22
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Li J, Zhang Y, Wang H, Guo Y, Shen X, Li M, Song J, Tan L, Xie A, Yu J. Exploring the links among peripheral immunity, biomarkers, cognition, and neuroimaging in Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12517. [PMID: 38124758 PMCID: PMC10730778 DOI: 10.1002/dad2.12517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 11/25/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION We analyzed relationships among peripheral immunity markers, cognition, Alzheimer's disease (AD)-related biomarkers, and neuroimaging to understand peripheral immunity involvement in AD. METHODS Peripheral immunity markers were assessed in AD, non-AD neurodegenerative disorders, and controls, examining their connections with cognition, AD-related biomarkers, and neuroimaging using multiple regression models. RESULTS The study included 1579 participants. Higher levels of white blood cell, neutrophil, monocyte, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and lower lymphocyte-to-monocyte ratio (LMR) were associated with cognitive decline and more severe anxiety and depression. The impact of lower LMR, lymphocyte count, and higher NLR on cognitive decline is mediated through cerebrospinal fluid amyloid beta (Aβ) levels. Additionally, increased PLR, NLR, and SII were associated with brain atrophy and hippocampal Aβ deposition (amyloid positron emission tomography). DISCUSSION Peripheral immunity markers offer a non-invasive and cost-effective means of studying AD-related pathophysiological changes, providing valuable insights into its pathogenesis and treatment. Highlights Peripheral immunity markers linked to cognitive decline and anxiety/depression.Low LMR, LYM, and high NLR linked to reduced CSF Aβ, impacting cognition.High PLR, NLR, SII associated with brain atrophy and hippocampal Aβ deposition.
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Affiliation(s)
- Jie‐Qiong Li
- Department of Neurologythe Affiliated Hospital of Qingdao UniversityQingdaoChina
- Department of Neurology and National Center for Neurological DisordersHuashan HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Ya‐Ru Zhang
- Department of Neurology and National Center for Neurological DisordersHuashan HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Hui‐Fu Wang
- Department of NeurologyQingdao Municipal HospitalQingdao UniversityQingdaoChina
- Department of NeurologyQingdao HospitalUniversity of Health and Rehabilitation Sciences (Qingdao Municipal Hospital)QingdaoChina
| | - Yu Guo
- Department of Neurology and National Center for Neurological DisordersHuashan HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Xue‐Ning Shen
- Department of Neurology and National Center for Neurological DisordersHuashan HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Meng‐Meng Li
- Department of Neurology and National Center for Neurological DisordersHuashan HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jing‐Hui Song
- Department of Neurologythe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Lan Tan
- Department of NeurologyQingdao Municipal HospitalQingdao UniversityQingdaoChina
- Department of NeurologyQingdao HospitalUniversity of Health and Rehabilitation Sciences (Qingdao Municipal Hospital)QingdaoChina
| | - An‐Mu Xie
- Department of Neurologythe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Jin‐Tai Yu
- Department of Neurology and National Center for Neurological DisordersHuashan HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
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Hosseini S, Shafiabadi N, Khanzadeh M, Ghaedi A, Ghorbanzadeh R, Azarhomayoun A, Bazrgar A, Pezeshki J, Bazrafshan H, Khanzadeh S. Neutrophil to lymphocyte ratio in parkinson's disease: a systematic review and meta-analysis. BMC Neurol 2023; 23:333. [PMID: 37735638 PMCID: PMC10512499 DOI: 10.1186/s12883-023-03380-7] [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: 04/07/2023] [Accepted: 09/11/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND The goal of this research was to explore the role of Neutrophil to lymphocyte ratio (NLR) in Parkinson's disease (PD). METHODS From inception to 4 June 2023, PubMed, Web of Science, and ProQuest were searched for papers comparing NLR in PD to healthy individuals. Standardized mean difference (SMD) with a confidence interval (CI) of 95% were calculated. RESULTS A random-effect model revealed that PD patients had elevated NLR values compared to healthy individuals (SMD = 0.81, 95% CI = 0.47 to 1.14, P < 0.001). The results of subgroup analysis were as follows: (1) study design: We observed that patients with PD had higher levels of NLR than healthy controls in either retrospective (SMD = 1.12, 95% CI = 0.58 to 1.66, P < 0.001) or prospective (SMD = 0.43, 95% CI = 0.18 to 0.68, P = 0.001) studies. (2) Ethnicity: We noticed that individuals with PD had higher levels of NLR than healthy controls, whether they were East Asian (SMD = 0.93, 95% CI = 0.22 to 1.63, P = 0.010) or Caucasian (SMD = 0.75, 95% CI = 0.40 to 1.10, P < 0.001).The pooled sensitivity of NLR in the prediction of PD was 0.67 (95% CI = 0.61-0.73), and the pooled specificity was 0.66 (95% CI, 0.61-0.70). CONCLUSIONS Increased levels of NLR is highly related with the presence of PD. Further research is needed to determine the potential clinical benefits of this simple and low-cost biomarker in the PD diagnosis.
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Affiliation(s)
- Samaneh Hosseini
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Monireh Khanzadeh
- Geriatric & Gerontology Department, Medical School, Tehran University of medical and health sciences, Tehran, Iran
| | - Arshin Ghaedi
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Raziyeh Ghorbanzadeh
- Department of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Amir Azarhomayoun
- Sina trauma and surgery research center, Tehran University of medical sciences, Tehran, Iran
| | - Aida Bazrgar
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Hanieh Bazrafshan
- Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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24
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Han Y, Guo R, Feng Z, Wang H, Li Y, Zou J, Wang Y. Associations of systemic inflammation markers with myocardial enzymes in pediatric adenotonsillar hypertrophy: A cross-sectional study. Heliyon 2023; 9:e17719. [PMID: 37483768 PMCID: PMC10359822 DOI: 10.1016/j.heliyon.2023.e17719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/13/2023] [Accepted: 06/26/2023] [Indexed: 07/25/2023] Open
Abstract
Objective The present study aimed to investigate the relationship between systemic inflammation markers and myocardial enzymes in children with adenotonsillar hypertrophy (ATH). Methods The levels of myocardial enzymes were detected and the systemic inflammatory biomarkers including neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and systemic immune inflammation index (SII) were calculated. Regression analyses were performed and a prediction model for screening myocardial injury was established by receiver operating characteristic (ROC) curve. Results Finally, a total of 804 children with ATH were included. After adjusting for age, BMI, fasting blood glucose and lipid profiles, both NLR and SII were significantly associated with CK-MB (p = 0.041 and 0.034, respectively) and LDH (p = 0.002 and 0.001, respectively), and PLR was associated with CK-MB (p = 0.008). In addition, NLR, SII were independently associated with hyper-LDH [OR = 1.447, 95%CI (1.063, 1.968); OR = 1.001, 95%CI (1.000, 1.002), respectively] and the associations were more significant in girls. A prediction model for hyper-LDH based on SII was developed with the area under the ROC curve of 0.715 (0.682, 0.746). Conclusion Systemic inflammation markers were only independently associated with serum hyper-LDH in children with ATH, especially in girls. Further investigation was needed to determine the relationship between systemic inflammation with myocardial enzymes in ATH children.
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Affiliation(s)
- Yingying Han
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key Laboratory of Otorhinolaryngology (Shandong University), Jinan, China
| | - Ruixiang Guo
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key Laboratory of Otorhinolaryngology (Shandong University), Jinan, China
| | - Ziyu Feng
- School of Basic Medical Sciences, Shandong University, Jinan, China
| | - Haipeng Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Zibo Central Hospital, Zibo, China
| | - Yanzhong Li
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key Laboratory of Otorhinolaryngology (Shandong University), Jinan, China
| | - Juanjuan Zou
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key Laboratory of Otorhinolaryngology (Shandong University), Jinan, China
| | - Yan Wang
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key Laboratory of Otorhinolaryngology (Shandong University), Jinan, China
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25
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Chou OHI, Zhou J, Li L, Chan JSK, Satti DI, Chou VHC, Wong WT, Lee S, Cheung BMY, Tse G, Chang C, Liu T. The Association Between Neutrophil-Lymphocyte Ratio and Variability with New-Onset Dementia: A Population-Based Cohort Study. J Alzheimers Dis 2023:JAD220111. [PMID: 37302029 DOI: 10.3233/jad-220111] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
BACKGROUND Previous studies identified that neutrophil-to-lymphocyte ratio (NLR) may be a predictor of dementia. However, the associations between NLR and dementia at the population level were less explored. OBJECTIVE This retrospective population-based cohort study was designed to identify the associations between NLR and dementia among patients visiting for family medicine consultation in Hong Kong. METHODS The patients were recruited from January 1, 2000, to December 31, 2003, and followed up until December 31, 2019. The demographics, prior comorbidities, medications, and laboratory results were collected. The primary outcomes were Alzheimer's disease and related dementia and non-Alzheimer's dementia. Cox regression and restricted cubic spline were applied to identify associations between NLR and dementia. RESULTS A cohort of 9,760 patients (male: 41.08% ; baseline age median: 70.2; median follow-up duration: 4756.5 days) with complete NLR were included. Multivariable Cox regression identified that patients with NLR >5.44 had higher risks of developing Alzheimer's disease and related dementia (hazard ratio [HR]: 1.50, 95% Confidence interval [CI]: 1.17-1.93) but not non-Alzheimer's dementia (HR: 1.33; 95% CI: 0.60-2.95). The restricted cubic splines demonstrated that higher NLR was associated with Alzheimer's disease and related dementia. The relationship between the NLR variability and dementia was also explored; of all the NLR variability measures, only the coefficient of variation was predictive of non-Alzheimer's dementia (HR: 4.93; 95% CI: 1.03-23.61). CONCLUSION In this population-based cohort, the baseline NLR predicts the risks of developing dementia. Utilizing the baseline NLR during family medicine consultation may help predict the risks of dementia.
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Affiliation(s)
- Oscar Hou In Chou
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
- Department of Medicine, Queen Mary Hospital, Hong Kong, China
| | - Jiandong Zhou
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lifang Li
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Jeffrey Shi Kai Chan
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | - Danish Iltaf Satti
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | - Vanessa Hou Cheng Chou
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | - Wing Tak Wong
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Sharen Lee
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | | | - Gary Tse
- Family Medicine Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
- Kent and Medway Medical School, Canterbury, Kent, UK
| | - Carlin Chang
- Department of Medicine, Queen Mary Hospital, Hong Kong, China
| | - Tong Liu
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
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Yacoubian TA, Fang YHD, Gerstenecker A, Amara A, Stover N, Ruffrage L, Collette C, Kennedy R, Zhang Y, Hong H, Qin H, McConathy J, Benveniste EN, Standaert DG. Brain and Systemic Inflammation in De Novo Parkinson's Disease. Mov Disord 2023; 38:743-754. [PMID: 36853618 PMCID: PMC11403348 DOI: 10.1002/mds.29363] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 03/01/2023] Open
Abstract
OBJECTIVE To assess the presence of brain and systemic inflammation in subjects newly diagnosed with Parkinson's disease (PD). BACKGROUND Evidence for a pathophysiologic role of inflammation in PD is growing. However, several key gaps remain as to the role of inflammation in PD, including the extent of immune activation at early stages, potential effects of PD treatments on inflammation and whether pro-inflammatory signals are associated with clinical features and/or predict more rapid progression. METHODS We enrolled subjects with de novo PD (n = 58) and age-matched controls (n = 62). Subjects underwent clinical assessments, including the Movement Disorder Society-United Parkinson's Disease rating scale (MDS-UPDRS). Comprehensive cognitive assessment meeting MDS Level II criteria for mild cognitive impairment testing was performed. Blood was obtained for flow cytometry and cytokine/chemokine analyses. Subjects underwent imaging with 18 F-DPA-714, a translocator protein 18kd ligand, and lumbar puncture if eligible and consented. RESULTS Baseline demographics and medical history were comparable between groups. PD subjects showed significant differences in University of Pennsylvania Smell Identification Test, Schwab and England Activities of Daily Living, Scales for Outcomes in PD autonomic dysfunction, and MDS-UPDRS scores. Cognitive testing demonstrated significant differences in cognitive composite, executive function, and visuospatial domain scores at baseline. Positron emission tomography imaging showed increased 18 F-DPA-714 signal in PD subjects. 18 F-DPA-714 signal correlated with several cognitive measures and some chemokines. CONCLUSIONS 18 F-DPA-714 imaging demonstrated increased central inflammation in de novo PD subjects compared to controls. Longitudinal follow-up will be important to determine whether the presence of inflammation predicts cognitive decline. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Talene A Yacoubian
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Yu-Hua Dean Fang
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Adam Gerstenecker
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Amy Amara
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Natividad Stover
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Lauren Ruffrage
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Christopher Collette
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Richard Kennedy
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Yue Zhang
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Huixian Hong
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Hongwei Qin
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jonathan McConathy
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Etty N Benveniste
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David G Standaert
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
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27
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Chakraborty S, Tabrizi Z, Bhatt NN, Franciosa SA, Bracko O. A Brief Overview of Neutrophils in Neurological Diseases. Biomolecules 2023; 13:biom13050743. [PMID: 37238612 DOI: 10.3390/biom13050743] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 05/28/2023] Open
Abstract
Neutrophils are the most abundant leukocyte in circulation and are the first line of defense after an infection or injury. Neutrophils have a broad spectrum of functions, including phagocytosis of microorganisms, the release of pro-inflammatory cytokines and chemokines, oxidative burst, and the formation of neutrophil extracellular traps. Traditionally, neutrophils were thought to be most important for acute inflammatory responses, with a short half-life and a more static response to infections and injury. However, this view has changed in recent years showing neutrophil heterogeneity and dynamics, indicating a much more regulated and flexible response. Here we will discuss the role of neutrophils in aging and neurological disorders; specifically, we focus on recent data indicating the impact of neutrophils in chronic inflammatory processes and their contribution to neurological diseases. Lastly, we aim to conclude that reactive neutrophils directly contribute to increased vascular inflammation and age-related diseases.
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Affiliation(s)
| | - Zeynab Tabrizi
- Department of Biology, University of Miami, Coral Gables, FL 33146, USA
| | | | | | - Oliver Bracko
- Department of Biology, University of Miami, Coral Gables, FL 33146, USA
- Department of Neurology, University of Miami-Miller School of Medicine, Miami, FL 33136, USA
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28
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Castellani G, Croese T, Peralta Ramos JM, Schwartz M. Transforming the understanding of brain immunity. Science 2023; 380:eabo7649. [PMID: 37023203 DOI: 10.1126/science.abo7649] [Citation(s) in RCA: 96] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
Contemporary studies have completely changed the view of brain immunity from envisioning the brain as isolated and inaccessible to peripheral immune cells to an organ in close physical and functional communication with the immune system for its maintenance, function, and repair. Circulating immune cells reside in special niches in the brain's borders, the choroid plexus, meninges, and perivascular spaces, from which they patrol and sense the brain in a remote manner. These niches, together with the meningeal lymphatic system and skull microchannels, provide multiple routes of interaction between the brain and the immune system, in addition to the blood vasculature. In this Review, we describe current ideas about brain immunity and their implications for brain aging, diseases, and immune-based therapeutic approaches.
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Affiliation(s)
- Giulia Castellani
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Tommaso Croese
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
| | | | - Michal Schwartz
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
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29
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Muñoz-Delgado L, Labrador-Espinosa MÁ, Macías-García D, Jesús S, Benítez Zamora B, Fernández-Rodríguez P, Adarmes-Gómez AD, Reina Castillo MI, Castro-Labrador S, Silva-Rodríguez J, Carrillo F, García Solís D, Grothe MJ, Mir P. Peripheral Inflammation Is Associated with Dopaminergic Degeneration in Parkinson's Disease. Mov Disord 2023. [PMID: 36912400 DOI: 10.1002/mds.29369] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/27/2023] [Accepted: 02/10/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUND Peripheral inflammatory immune responses are suggested to play a major role in dopaminergic degeneration in Parkinson's disease (PD). The neutrophil-to-lymphocyte ratio (NLR) is a well-established biomarker of systemic inflammation in PD. Degeneration of the nigrostriatal dopaminergic system can be assessed in vivo using [123 I]FP-CIT single photon emission computed tomography imaging of striatal dopamine transporter (DAT) density. OBJECTIVES To assess the relationship between the peripheral immune profile (NLR, lymphocytes, and neutrophils) and striatal DAT density in patients with PD. METHODS We assessed clinical features, the peripheral immune profile, and striatal [123 I]FP-CIT DAT binding levels of 211 patients with PD (primary-cohort). Covariate-controlled associations between the immune response and striatal DAT levels were assessed using linear regression analyses. For replication purposes, we also studied a separate cohort of 344 de novo patients with PD enrolled in the Parkinson's Progression Markers Initiative (PPMI-cohort). RESULTS A higher NLR was significantly associated with lower DAT levels in the caudate (primary-cohort: β = -0.01, p < 0.001; PPMI-cohort: β = -0.05, p = 0.05) and the putamen (primary-cohort: β = -0.05, p = 0.02; PPMI-cohort: β = -0.06, p = 0.02). Intriguingly, a lower lymphocyte count was significantly associated with lower DAT levels in both the caudate (primary-cohort: β = +0.09, p < 0.05; PPMI-cohort: β = +0.11, p = 0.02) and the putamen (primary-cohort: β = +0.09, p < 0.05, PPMI-cohort: β = +0.14, p = 0.01), but an association with the neutrophil count was not consistently observed (caudate; primary-cohort: β = -0.05, p = 0.02; PPMI-cohort: β = 0, p = 0.94; putamen; primary-cohort: β = -0.04, p = 0.08; PPMI-cohort: β = -0.01, p = 0.73). CONCLUSIONS Our findings across two independent cohorts suggest a relationship between systemic inflammation and dopaminergic degeneration in patients with PD. This relationship was mainly driven by the lymphocyte count. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Laura Muñoz-Delgado
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Miguel Ángel Labrador-Espinosa
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, Seville, Spain
| | - Daniel Macías-García
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Silvia Jesús
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Belén Benítez Zamora
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Paula Fernández-Rodríguez
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Servicio de Medicina Nuclear, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Astrid D Adarmes-Gómez
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - María Isabel Reina Castillo
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Sandra Castro-Labrador
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Jesús Silva-Rodríguez
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Fátima Carrillo
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - David García Solís
- Servicio de Medicina Nuclear, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, Seville, Spain
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30
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Muñoz-Delgado L, Macías-García D, Periñán MT, Jesús S, Adarmes-Gómez AD, Bonilla Toribio M, Buiza Rueda D, Jiménez-Jaraba MDV, Benítez Zamora B, Díaz Belloso R, García-Díaz S, Martín-Bórnez M, Pineda Sánchez R, Carrillo F, Gómez-Garre P, Mir P. Peripheral inflammatory immune response differs among sporadic and familial Parkinson's disease. NPJ Parkinsons Dis 2023; 9:12. [PMID: 36720879 PMCID: PMC9889312 DOI: 10.1038/s41531-023-00457-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 01/13/2023] [Indexed: 02/01/2023] Open
Abstract
Peripheral inflammatory immune responses are thought to play a major role in the pathogenesis of Parkinson's disease (PD). The neutrophil-to-lymphocyte ratio (NLR), a biomarker of systemic inflammation, has been reported to be higher in patients with PD than in healthy controls (HCs). The present study was aimed at determining if the peripheral inflammatory immune response could be influenced by the genetic background of patients with PD. We included a discovery cohort with 222 patients with PD (132 sporadic PD, 44 LRRK2-associated PD (with p.G2019S and p.R1441G variants), and 46 GBA-associated PD), as well as 299 HCs. Demographic and clinical data were recorded. Leukocytes and their subpopulations, and the NLR were measured in peripheral blood. Multivariate lineal regression and post-hoc tests were applied to determine the differences among the groups. Subsequently, a replication study using the Parkinson's Progression Markers Initiative cohort was performed which included 401 patients with PD (281 sPD patients, 66 LRRK2-PD patients, 54 GBA-PD patients) and a group of 174 HCs. Patients with sporadic PD and GBA-associated PD showed a significantly lower lymphocyte count, a non-significantly higher neutrophil count and a significantly higher NLR than HCs. The peripheral inflammatory immune response of patients with LRRK2-associated PD did not differ from HCs. Our study supports the involvement of a peripheral inflammatory immune response in the pathophysiology of sPD and GBA-associated PD. However, this inflammatory response was not found in LRRK2-associated PD, probably reflecting different pathogenic inflammatory mechanisms.
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Affiliation(s)
- Laura Muñoz-Delgado
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Daniel Macías-García
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - María Teresa Periñán
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Silvia Jesús
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Astrid D Adarmes-Gómez
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Marta Bonilla Toribio
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Dolores Buiza Rueda
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - María Del Valle Jiménez-Jaraba
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Belén Benítez Zamora
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Rafael Díaz Belloso
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Sergio García-Díaz
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Miguel Martín-Bórnez
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Rocío Pineda Sánchez
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Fátima Carrillo
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Pilar Gómez-Garre
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
- Departamento de Medicina, Universidad de Sevilla, Seville, Spain.
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Zhang P, Zhao L, Li H, Shen J, Li H, Xing Y. Novel diagnostic biomarkers related to immune infiltration in Parkinson's disease by bioinformatics analysis. Front Neurosci 2023; 17:1083928. [PMID: 36777638 PMCID: PMC9909419 DOI: 10.3389/fnins.2023.1083928] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Background Parkinson's disease (PD) is Pengfei Zhang Liwen Zhao Pengfei Zhang Liwen Zhao a common neurological disorder involving a complex relationship with immune infiltration. Therefore, we aimed to explore PD immune infiltration patterns and identify novel immune-related diagnostic biomarkers. Materials and methods Three substantia nigra expression microarray datasets were integrated with elimination of batch effects. Differentially expressed genes (DEGs) were screened using the "limma" package, and functional enrichment was analyzed. Weighted gene co-expression network analysis (WGCNA) was performed to explore the key module most significantly associated with PD; the intersection of DEGs and the key module in WGCNA were considered common genes (CGs). The CG protein-protein interaction (PPI) network was constructed to identify candidate hub genes by cytoscape. Candidate hub genes were verified by another two datasets. Receiver operating characteristic curve analysis was used to evaluate the hub gene diagnostic ability, with further gene set enrichment analysis (GSEA). The immune infiltration level was evaluated by ssGSEA and CIBERSORT methods. Spearman correlation analysis was used to evaluate the hub genes association with immune cells. Finally, a nomogram model and microRNA-TF-mRNA network were constructed based on immune-related biomarkers. Results A total of 263 CGs were identified by the intersection of 319 DEGs and 1539 genes in the key turquoise module. Eleven candidate hub genes were screened by the R package "UpSet." We verified the candidate hub genes based on two validation sets and identified six (SYT1, NEFM, NEFL, SNAP25, GAP43, and GRIA1) that distinguish the PD group from healthy controls. Both CIBERSORT and ssGSEA revealed a significantly increased proportion of neutrophils in the PD group. Correlation between immune cells and hub genes showed SYT1, NEFM, GAP43, and GRIA1 to be significantly related to immune cells. Moreover, the microRNA-TFs-mRNA network revealed that the microRNA-92a family targets all four immune-related genes in PD pathogenesis. Finally, a nomogram exhibited a reliable capability of predicting PD based on the four immune-related genes (AUC = 0.905). Conclusion By affecting immune infiltration, SYT1, NEFM, GAP43, and GRIA1, which are regulated by the microRNA-92a family, were identified as diagnostic biomarkers of PD. The correlation of these four genes with neutrophils and the microRNA-92a family in PD needs further investigation.
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Affiliation(s)
- Pengfei Zhang
- Department of Neurosurgery, Beichen Traditional Chinese Medical Hospital Tianjin, Tianjin, China
| | - Liwen Zhao
- Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Hongbin Li
- Department of Neurology, Beichen Traditional Chinese Medical Hospital Tianjin, Tianjin, China
| | - Jie Shen
- Department of Neurology, Beichen Traditional Chinese Medical Hospital Tianjin, Tianjin, China
| | - Hui Li
- Department of Neurosurgery, Beichen Traditional Chinese Medical Hospital Tianjin, Tianjin, China
| | - Yongguo Xing
- Department of Neurosurgery, Beichen Traditional Chinese Medical Hospital Tianjin, Tianjin, China,*Correspondence: Yongguo Xing,
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Liebert A, Capon W, Pang V, Vila D, Bicknell B, McLachlan C, Kiat H. Photophysical Mechanisms of Photobiomodulation Therapy as Precision Medicine. Biomedicines 2023; 11:biomedicines11020237. [PMID: 36830774 PMCID: PMC9953702 DOI: 10.3390/biomedicines11020237] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023] Open
Abstract
Despite a significant focus on the photochemical and photoelectrical mechanisms underlying photobiomodulation (PBM), its complex functions are yet to be fully elucidated. To date, there has been limited attention to the photophysical aspects of PBM. One effect of photobiomodulation relates to the non-visual phototransduction pathway, which involves mechanotransduction and modulation to cytoskeletal structures, biophotonic signaling, and micro-oscillatory cellular interactions. Herein, we propose a number of mechanisms of PBM that do not depend on cytochrome c oxidase. These include the photophysical aspects of PBM and the interactions with biophotons and mechanotransductive processes. These hypotheses are contingent on the effect of light on ion channels and the cytoskeleton, the production of biophotons, and the properties of light and biological molecules. Specifically, the processes we review are supported by the resonant recognition model (RRM). This previous research demonstrated that protein micro-oscillations act as a signature of their function that can be activated by resonant wavelengths of light. We extend this work by exploring the local oscillatory interactions of proteins and light because they may affect global body circuits and could explain the observed effect of PBM on neuro-cortical electroencephalogram (EEG) oscillations. In particular, since dysrhythmic gamma oscillations are associated with neurodegenerative diseases and pain syndromes, including migraine with aura and fibromyalgia, we suggest that transcranial PBM should target diseases where patients are affected by impaired neural oscillations and aberrant brain wave patterns. This review also highlights examples of disorders potentially treatable with precise wavelengths of light by mimicking protein activity in other tissues, such as the liver, with, for example, Crigler-Najjar syndrome and conditions involving the dysregulation of the cytoskeleton. PBM as a novel therapeutic modality may thus behave as "precision medicine" for the treatment of various neurological diseases and other morbidities. The perspectives presented herein offer a new understanding of the photophysical effects of PBM, which is important when considering the relevance of PBM therapy (PBMt) in clinical applications, including the treatment of diseases and the optimization of health outcomes and performance.
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Affiliation(s)
- Ann Liebert
- Faculty of Medicine and Health, University of Sydney, Sydney 2006, Australia
- Adventist Hospital Group, Wahroonga 2076, Australia
- NICM Health Research Institute, Western Sydney University, Westmead 2145, Australia
- Correspondence:
| | - William Capon
- Faculty of Medicine and Health, University of Sydney, Sydney 2006, Australia
| | - Vincent Pang
- NICM Health Research Institute, Western Sydney University, Westmead 2145, Australia
| | - Damien Vila
- Faculty of Medicine of Montpellier-Nîmes, University of Montpellier, 34090 Montpellier, France
| | - Brian Bicknell
- NICM Health Research Institute, Western Sydney University, Westmead 2145, Australia
| | - Craig McLachlan
- Faculty of Health, Torrens University, Adelaide 5000, Australia
| | - Hosen Kiat
- NICM Health Research Institute, Western Sydney University, Westmead 2145, Australia
- Faculty of Health, Torrens University, Adelaide 5000, Australia
- Cardiac Health Institute, Sydney 2121, Australia
- ANU College of Health and Medicine, Australian National University, Canberra 2600, Australia
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park 2109, Australia
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Huang T, Zhao JY, Pan RR, Jiang T, Fu XX, Huang Q, Wang XX, Gong PY, Tian YY, Zhang YD. Dysregulation of Circulatory Levels of lncRNAs in Parkinson's Disease. Mol Neurobiol 2023; 60:317-328. [PMID: 36264433 DOI: 10.1007/s12035-022-03086-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 10/05/2022] [Indexed: 12/30/2022]
Abstract
Emerging evidence suggested that long non-coding RNAs (lncRNAs) were involved in Parkinson's disease (PD) pathogenesis. Herein, we used gene expression profiles from GEO database to construct a PD-specific ceRNA network. Functional enrichment analysis suggested that ceRNA network might participate in the development of PD. PPI networks were constructed, and the ceRNA subnetwork based on five hub genes was set up. In a cohort of 32 PD patients and 31 healthy controls, the expression of 10 DElncRNAs (TTC3-AS1, LINC01259, ZMYND10-AS1, CHRM3-AS1, MYO16-AS1, AGBL5-IT1, HOTAIRM1, RABGAP1L-IT1, HLCS-IT1, and LINC00393) were further verified. Consistent with the microarray data, LINC01259 expression was significantly lower in PD patients compared with controls (P = 0.008). Intriguingly, such a difference was only observed among male patients and male controls when dividing study participants based on their gender (P = 0.016). However, the expression of other lncRNAs did not differ significantly between the two groups. Receiver operating characteristic (ROC) curve analysis revealed that the diagnostic power of LINC01259 was 0.694 for PD and 0.677 for early-stage PD. GSEA enrichment analysis revealed that LINC01259 was mainly enriched in biological processes associated with immune function and inflammatory response. Moreover, LINC01259 expression was not correlated with age of patients, disease duration, disease stage, MDS-UPDRS score, MDS-UPDRS III score, MMSE score, and MOCA score. The current study provides further evidence for the dysregulation of lncRNAs in circulating leukocytes of PD patients, revealing that LINC01259 has clinical potential as a novel immune and inflammatory biomarker for PD and early-stage PD diagnosis.
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Affiliation(s)
- Ting Huang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Jin-Ying Zhao
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Rong-Rong Pan
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Teng Jiang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Xin-Xin Fu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, 210000, China
| | - Qing Huang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Xi-Xi Wang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Peng-Yu Gong
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - You-Yong Tian
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China.
| | - Ying-Dong Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, China.
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Li W, Shen J, Wu H, Lin L, Liu Y, Pei Z, Liu G. Transcriptome Analysis Reveals a Two-Gene Signature Links to Motor Progression and Alterations of Immune Cells in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:25-38. [PMID: 36591658 PMCID: PMC9912738 DOI: 10.3233/jpd-223454] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/14/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND The motor impairment in Parkinson's disease (PD) can be managed but effective treatments for stopping or slowing the disease process are lacking. The advent of transcriptomics studies in PD shed light on the development of promising measures to predict disease progression and discover novel therapeutic strategies. OBJECTIVE To reveal the potential role of transcripts in the motor impairment progression of patients with PD via transcriptome analysis. METHODS We separately analyzed the differentially expressed genes (DEGs) between PD cases and healthy controls in two cohorts using whole blood bulk transcriptome data. Based on the intersection of DEGs, we established a prognostic signature by regularized regression and Cox proportional hazards analysis. We further performed immune cell analysis and single-cell RNA sequencing analysis to study the biological features of this signature. RESULTS We identified a two-gene-based prognostic signature that links to PD motor progression and the two-gene signature-derived risk score was associated with several types of immune cells in blood. Notably, the fraction of neutrophils increased 5% and CD4+ T cells decreased 7% in patients with high-risk scores compared to that in patients with low-risk scores, suggesting these two types of immune cells might play key roles in the prognosis of PD. We also observed the downregulated genes in PD patients with high-risk scores that enriched in PD-associated pathways from iPSC-derived dopaminergic neurons single-cell RNA sequencing analysis. CONCLUSION We identified a two-gene signature linked to the motor progression in PD, which provides new insights into the motor prognosis of PD.
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Affiliation(s)
- Weimin Li
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiaqi Shen
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Hao Wu
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Lishan Lin
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yanmei Liu
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhong Pei
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ganqiang Liu
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
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Stanca ID, Criciotoiu O, Neamtu SD, Vasile RC, Berceanu-Bora NM, Minca TN, Pirici I, Rosu GC, Bondari S. The Analysis of Blood Inflammation Markers as Prognostic Factors in Parkinson's Disease. Healthcare (Basel) 2022; 10:healthcare10122578. [PMID: 36554101 PMCID: PMC9778576 DOI: 10.3390/healthcare10122578] [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: 11/17/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022] Open
Abstract
Parkinson’s disease is a chronic, progressive, and neurodegenerative disease, and yet with an imprecise etiopathogenesis. Although neuroinflammation was initially thought to be a secondary condition, it is now believed that microglia-induced inflammation could also contribute to the degeneration of the nigrostriatal pathway. Here, we aimed to establish the feasibility of basic inflammatory biomarkers as prognostic factors in PD. The study was based on retrospective analyses of blood samples taken from patients diagnosed with PD, as well as from healthy subjects. Complete medical records, total leukocyte count with subpopulations, and erythrocyte sedimentation rate (ESR) were analyzed. We calculated the serum neutrophils-to-lymphocytes ratio (NLR) and platelet-to lymphocytes ratio (PLR), and also compared the laboratory data between the PD group and the control group. Only PLR and NLR showed statistically significant differences (p < 0.001 and 0.04, respectively). In our study, ESR did not show statistically significant correlations with motor score or with disability. In our research, ESR was correlated with the disease duration (p = 0.04), and PLR showed a significant correlation with disease stage (p = 0.027) and disease duration (p = 0.001), but not with motor state. These biomarkers could prove to be effective tools for a primary evaluation of inflammation in PD, but further tests are required to properly investigate the neuroinflammatory status of these patients.
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Affiliation(s)
- Iulia-Diana Stanca
- Department of Neurology, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
| | - Oana Criciotoiu
- Department of Neurology, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
- Correspondence: (O.C.); (I.P.)
| | - Simona-Daniela Neamtu
- Department of Hematology, Faculty of Pharmacy, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
| | - Ramona-Constantina Vasile
- Department of Epidemiology, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
| | | | - Teodora-Nicoleta Minca
- Department of Neurology, Clinical Hospital of Neuropsychiatry Craiova, Calea Bucuresti 99, 200473 Craiova, Romania
| | - Ionica Pirici
- Department of Anatomy, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
- Correspondence: (O.C.); (I.P.)
| | - Gabriela-Camelia Rosu
- Department of Research Methodology, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
| | - Simona Bondari
- Department of Radiology, University of Medicine and Pharmacy of Craiova, Petru Rares 2, 200349 Craiova, Romania
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Contaldi E, Magistrelli L, Cosentino M, Marino F, Comi C. Lymphocyte Count and Neutrophil-to-Lymphocyte Ratio Are Associated with Mild Cognitive Impairment in Parkinson’s Disease: A Single-Center Longitudinal Study. J Clin Med 2022; 11:jcm11195543. [PMID: 36233411 PMCID: PMC9571051 DOI: 10.3390/jcm11195543] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 11/24/2022] Open
Abstract
Lymphocyte count and neutrophil-to-lymphocyte ratio (NLR) may represent useful biomarkers of Parkinson’s disease (PD), but their role in PD-related mild cognitive impairment (MCI) has not been fully elucidated. The present study aimed to confirm whether these immunological measures can discriminate PD patients from healthy controls (HC) and establish their feasibility as prognostic biomarkers of MCI in PD. Immunological data at baseline were analyzed in 58 drug-naïve PD patients and 58 HC matched 1:1 for age, sex, and cardiovascular comorbidities. We selected a subgroup of 51 patients from this initial cohort who underwent longitudinal neuropsychological assessments through the Addenbrooke’s Cognitive Examination Revised (ACE-R) test. We considered the last examination available to analyze the relationship between ACE-R test scores and immunological measures. We found that lymphocyte count was lower and NLR higher in PD than HC (p = 0.006, p = 0.044), with AUC = 0.649 and 0.608, respectively. Secondly, in PD-MCI there were significantly higher levels of circulating lymphocytes (p = 0.002) and lower NLR (p = 0.020) than PD with normal cognitive status (PD-NC). Correlations between lymphocyte count and ACE-R total score and memory subitem (r = −0.382, p = 0.006; r = −0.362, p = 0.01), as well as between NLR and ACE-R total score and memory subitem (r = 0.325, p = 0.02; r = 0.374, p = 0.007), were also found. ROC curve analysis showed that lymphocyte count and NLR displayed acceptable discrimination power of PD-MCI with AUC = 0.759 and 0.691, respectively. In conclusion, we suggest that an altered peripheral immune phenotype could foster cognitive decline development in PD, thus opening the possibility of immune-targeting strategies to tackle this disabling non-motor feature.
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Affiliation(s)
- Elena Contaldi
- Movement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
- PhD Program in Medical Sciences and Biotechnology, University of Piemonte Orientale, 28100 Novara, Italy
| | - Luca Magistrelli
- Movement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
- PhD Program in Clinical and Experimental Medicine and Medical Humanities, University of Insubria, 21100 Varese, Italy
| | - Marco Cosentino
- Center of Research in Medical Pharmacology, University of Insubria, 21100 Varese, Italy
- Center for Research in Neuroscience, University of Insubria, 21100 Varese, Italy
| | - Franca Marino
- Center of Research in Medical Pharmacology, University of Insubria, 21100 Varese, Italy
- Center for Research in Neuroscience, University of Insubria, 21100 Varese, Italy
| | - Cristoforo Comi
- Center of Research in Medical Pharmacology, University of Insubria, 21100 Varese, Italy
- Department of Translational Medicine, Neurology Unit, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
- Correspondence:
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Xing N, Dong Z, Wu Q, Kan P, Han Y, Cheng X, Zhang B. Identification and validation of key molecules associated with humoral immune modulation in Parkinson’s disease based on bioinformatics. Front Immunol 2022; 13:948615. [PMID: 36189230 PMCID: PMC9520667 DOI: 10.3389/fimmu.2022.948615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 08/26/2022] [Indexed: 12/02/2022] Open
Abstract
Objective Parkinson’s disease (PD) is the most common neurodegenerative movement disorder and immune-mediated mechanism is considered to be crucial to pathogenesis. Here, we investigated the role of humoral immune regulatory molecules in the pathogenesis of PD. Methods Firstly, we performed a series of bioinformatic analyses utilizing the expression profile of the peripheral blood mononuclear cell (PBMC) obtained from the GEO database (GSE100054, GSE49126, and GSE22491) to identify differentially expressed genes related to humoral immune regulatory mechanisms between PD and healthy controls. Subsequently, we verified the results using quantitative polymerase chain reaction (Q-PCR) and enzyme-linked immunosorbent assay (ELISA) in clinical blood specimen. Lastly, receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic effects of verified molecules. Results We obtained 13 genes that were mainly associated with immune-related biological processes in PD using bioinformatic analysis. Then, we selected PPBP, PROS1, and LCN2 for further exploration. Fascinatingly, our experimental results don’t always coincide with the expression profile. PROS1 and LCN2 plasma levels were significantly higher in PD patients compared to controls (p < 0.01 and p < 0.0001). However, the PPBP plasma level and expression in the PBMC of PD patients was significantly decreased compared to controls (p < 0.01 and p < 0.01). We found that PPBP, PROS1, and LCN2 had an area under the curve (AUC) of 0.663 (95%CI: 0.551–0.776), 0.674 (95%CI: 0.569–0.780), and 0.885 (95%CI: 0.814–0.955). Furthermore, in the biological process analysis of gene ontology (GO), the three molecules were all involved in humoral immune response (GO:0006959). Conclusions In general, PPBP, PROS1, and LCN2 were identified and validated to be related to PD and PPBP, LCN2 may potentially be biomarkers or therapeutic targets for PD. Our findings also provide some new insights on the humoral immune modulation mechanisms in PD.
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Affiliation(s)
- Na Xing
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Ziye Dong
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Qiaoli Wu
- Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Pengcheng Kan
- Department of Clinical Laboratory, Tianjin Huanhu Hospital, Tianjin, China
| | - Yuan Han
- Department of Clinical Laboratory, Tianjin Huanhu Hospital, Tianjin, China
| | - Xiuli Cheng
- Department of Clinical Laboratory, Tianjin Huanhu Hospital, Tianjin, China
| | - Biao Zhang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital, Tianjin, China
- Department of Clinical Laboratory, Tianjin Huanhu Hospital, Tianjin, China
- *Correspondence: Biao Zhang,
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Role of the Neutrophil to Lymphocyte Ratio in Guillain Barré Syndrome: A Systematic Review and Meta-Analysis. Mediators Inflamm 2022; 2022:3390831. [PMID: 36133742 PMCID: PMC9484954 DOI: 10.1155/2022/3390831] [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: 06/10/2022] [Revised: 07/20/2022] [Accepted: 08/24/2022] [Indexed: 11/30/2022] Open
Abstract
In this study, we conducted a systematic review and meta-analysis regarding the role of the neutrophil to lymphocyte ratio (NLR) in Guillain Barré syndrome (GBS). The most recent update to the search was on July 18, 2022, through the databases of Web of Science, PubMed, Embase, and Scopus. The Newcastle-Ottawa scale was used for quality assessment of included studies. Finally, 14 studies were included in the review, and among them, ten studies were included in the meta-analysis. Our results showed that NLR levels were significantly increased in the patients with GBS compared with healthy controls (SMD = 1.05; 95%CI = 0.59 to 1.50, P < 0.001). After treatment, NLR levels were decreased to the extent that they became similar to healthy controls (SMD = −0.03, 95%CI = −0.29 to 0.22, P = 0.204). Moreover, NLR was a stable predictor of outcome or response to treatment in such patients (SMD = 1.01, 95%CI = 0.65 to 1.37, P < 0.001); the higher the NLR, the worse the outcome. In addition, patients who underwent mechanical ventilation had higher levels of NLR compared to those who did not (SMD = 0.93, 95%CI = 0.05 to 1.82, P = 0.03). However, NLR levels were not different among distinct GBS subtypes, so it could not distinguish among them. In conclusion, our analysis indicates that the NLR levels are highly elevated in patients with GBS. Therefore, the NLR has the potential to be used as a biomarker to inform diagnosis, prognosis, or treatment responses in GBS, and future studies are warranted.
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Tönges L, Buhmann C, Klebe S, Klucken J, Kwon EH, Müller T, Pedrosa DJ, Schröter N, Riederer P, Lingor P. Blood-based biomarker in Parkinson's disease: potential for future applications in clinical research and practice. J Neural Transm (Vienna) 2022; 129:1201-1217. [PMID: 35428925 PMCID: PMC9463345 DOI: 10.1007/s00702-022-02498-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 03/27/2022] [Indexed: 12/12/2022]
Abstract
The clinical presentation of Parkinson's disease (PD) is both complex and heterogeneous, and its precise classification often requires an intensive work-up. The differential diagnosis, assessment of disease progression, evaluation of therapeutic responses, or identification of PD subtypes frequently remains uncertain from a clinical point of view. Various tissue- and fluid-based biomarkers are currently being investigated to improve the description of PD. From a clinician's perspective, signatures from blood that are relatively easy to obtain would have great potential for use in clinical practice if they fulfill the necessary requirements as PD biomarker. In this review article, we summarize the knowledge on blood-based PD biomarkers and present both a researcher's and a clinician's perspective on recent developments and potential future applications.
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Affiliation(s)
- Lars Tönges
- Department of Neurology, Ruhr-University Bochum, St. Josef Hospital, Gudrunstr. 56, 44791, Bochum, Germany.
- Center for Protein Diagnostics (ProDi), Ruhr University Bochum, 44801, Bochum, Nordrhein-Westfalen, Germany.
| | - Carsten Buhmann
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Stephan Klebe
- Department of Neurology, University Hospital Essen, 45147, Essen, Germany
| | - Jochen Klucken
- Department of Digital Medicine, University Luxembourg, LCSB, L-4367, Belval, Luxembourg
- Digital Medicine Research Group, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
- Centre Hospitalier de Luxembourg, Digital Medicine Research Clinic, L-1210, Luxembourg, Luxembourg
| | - Eun Hae Kwon
- Department of Neurology, Ruhr-University Bochum, St. Josef Hospital, Gudrunstr. 56, 44791, Bochum, Germany
| | - Thomas Müller
- Department of Neurology, St. Joseph Hospital Berlin-Weissensee, 13088, Berlin, Germany
| | - David J Pedrosa
- Department of Neurology, Universitätsklinikum Gießen and Marburg, Marburg Site, 35043, Marburg, Germany
- Center of Mind, Brain and Behaviour (CMBB), Philipps-Universität Marburg, 35043, Marburg, Germany
| | - Nils Schröter
- Department of Neurology and Clinical Neuroscience, University of Freiburg, 79106, Freiburg, Germany
| | - Peter Riederer
- Psychosomatics and Psychotherapy, University Hospital Wuerzburg, Clinic and Policlinic for Psychiatry, 97080, Wuerzburg, Germany
- University of Southern Denmark Odense, 5000, Odense, Denmark
| | - Paul Lingor
- School of Medicine, Klinikum Rechts Der Isar, Department of Neurology, Technical University of Munich, 81675, München, Germany
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Song L, Zhang S, Li H, Hansson O, Sonestedt E, Borné Y. Comparison of risk factors for Parkinson’s disease, coronary events and ischemic stroke. NPJ Parkinsons Dis 2022; 8:107. [PMID: 36008425 PMCID: PMC9411547 DOI: 10.1038/s41531-022-00374-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 08/02/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractParkinson’s disease (PD) and cardiovascular disease share many important risk factors, but some associations differ. However, there are no studies that have compared their shared and specific risk factors. The present study aimed to compare risk factors for PD, coronary events, or ischemic stroke. We prospectively analyzed data from 26,210 participants with lifestyle factors aged 45–73 years enrolled between 1991 and 1996. The Cox proportional hazards model was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of PD, coronary events, or ischemic stroke in relation to each factor. A modified Lunn-McNeil competing risk analysis was performed to compare the HR strength of the three outcomes. A total of 486 incident PD cases, 3288 coronary events cases and 2,972 ischemic stroke cases occurred during a mean follow-up of 21 years. In multivariable models, age (per additional year: HR = 1.08; 95% CI: 1.06, 1.09), diabetes (HR = 1.52; 95% CI: 1.02, 2.26), neutrophil–lymphocyte ratio (per SD increase: HR = 1.09; 95% CI: 1.00, 1.19), and fasting blood glucose (per SD increase: HR = 1.18; 95% CI: 1.03, 1.36) are the risk factors for PD, whereas female sex (HR = 0.54; 95% CI: 0.43, 0.67), smoking (current smoker [HR = 0.57; 95% CI: 0.43, 0.74] and former smoker [HR = 0.81; 95% CI: 0.66, 0.99]), HDL (per SD increase: HR = 0.74; 95% CI: 0.57, 0.95), and LDL (per SD increase: HR = 0.77; 95% CI: 0.61, 0.96) are the protective factors. A comparison of risk factors for PD, coronary events, and ischemic stroke showed the three outcomes had concordant and discordant risk factors. Our results indicated the risk factor profiles for PD, coronary events, or ischemic stroke had many similarities, but also significant differences.
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Li D, Liang J, Guo W, Zhang Y, Wu X, Zhang W. Integrative analysis of DNA methylation and gene expression data for the diagnosis and underlying mechanism of Parkinson’s disease. Front Aging Neurosci 2022; 14:971528. [PMID: 36062142 PMCID: PMC9434001 DOI: 10.3389/fnagi.2022.971528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundParkinson’s disease (PD) is the second most common progressive neurodegenerative disorder and the leading cause of disability in the daily activities. In the management of PD, accurate and specific biomarkers in blood for the early diagnosis of PD are urgently needed. DNA methylation is one of the main epigenetic mechanisms and associated with the gene expression and disease initiation of PD. We aimed to construct a methylation signature for the diagnosis of PD patients, and explore the potential value of DNA methylation in therapeutic options.Materials and methodsWhole blood DNA methylation and gene expression data of PD patients as well as healthy controls were extracted from Gene Expression Omnibus database. Next, differentially expressed genes (DEGs) and differentially methylated genes (DMGs) between PD patients and healthy controls were identified. Least absolute shrinkage and selection operator cox regression analysis was carried out to construct a diagnostic signature based on the overlapped genes. And, the receiver operating characteristic (ROC) curves were drawn and the area under the curve (AUC) was used to assess the diagnostic performance of the signature in both the training and testing datasets. Finally, gene ontology and gene set enrichment analysis were subsequently carried out to explore the underlying mechanisms.ResultsWe obtained a total of 9,596 DMGs, 1,058 DEGs, and 237 overlapped genes in the whole blood between PD patients and healthy controls. Eight methylation-driven genes (HIST1H4L, CDC42EP3, KIT, GNLY, SLC22A1, GCM1, INO80B, and ARHGAP26) were identified to construct the gene expression signature. The AUCs in predicting PD patients were 0.84 and 0.76 in training dataset and testing dataset, respectively. Additionally, eight methylation-altered CpGs were also identified to construct the CpGs signature which showed a similarly robust diagnostic capability, with AUCs of 0.8 and 0.73 in training dataset and testing dataset, respectively.ConclusionWe conducted an integrated analysis of the gene expression and DNA methylation data, and constructed a methylation-driven genes signature and a methylation-altered CpGs signature to distinguish the patients with PD from healthy controls. Both of them had a robust prediction power and provide a new insight into personalized diagnostic and therapeutic strategies for PD.
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Affiliation(s)
- Ding Li
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
- Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
| | - Jiaming Liang
- Department of Internal Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenbin Guo
- Department of Pathology, Pingtan Comprehensive Experimental Area Hospital, Fuzhou, China
| | - Yongna Zhang
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
- Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
| | - Xuan Wu
- Academy of Medical Science, Zhengzhou University, Zhengzhou, China
- *Correspondence: Wenzhou Zhang,
| | - Wenzhou Zhang
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
- Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
- Xuan Wu,
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Pantaleo E, Monaco A, Amoroso N, Lombardi A, Bellantuono L, Urso D, Lo Giudice C, Picardi E, Tafuri B, Nigro S, Pesole G, Tangaro S, Logroscino G, Bellotti R. A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics. Genes (Basel) 2022; 13:genes13050727. [PMID: 35627112 PMCID: PMC9141063 DOI: 10.3390/genes13050727] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/16/2022] [Accepted: 04/18/2022] [Indexed: 12/23/2022] Open
Abstract
The increased incidence and the significant health burden associated with Parkinson’s disease (PD) have stimulated substantial research efforts towards the identification of effective treatments and diagnostic procedures. Despite technological advancements, a cure is still not available and PD is often diagnosed a long time after onset when irreversible damage has already occurred. Blood transcriptomics represents a potentially disruptive technology for the early diagnosis of PD. We used transcriptome data from the PPMI study, a large cohort study with early PD subjects and age matched controls (HC), to perform the classification of PD vs. HC in around 550 samples. Using a nested feature selection procedure based on Random Forests and XGBoost we reached an AUC of 72% and found 493 candidate genes. We further discussed the importance of the selected genes through a functional analysis based on GOs and KEGG pathways.
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Affiliation(s)
- Ester Pantaleo
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
- Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso, Università degli Studi di Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy;
- Dipartimento Interateneo di Fisica M. Merlin, Università degli Studi di Bari Aldo Moro, Via G. Amendola 173, 70125 Bari, Italy
| | - Alfonso Monaco
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
| | - Nicola Amoroso
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
- Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari Aldo Moro, Via A. Orabona 4, 70125 Bari, Italy
| | - Angela Lombardi
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
- Dipartimento Interateneo di Fisica M. Merlin, Università degli Studi di Bari Aldo Moro, Via G. Amendola 173, 70125 Bari, Italy
- Correspondence:
| | - Loredana Bellantuono
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
- Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso, Università degli Studi di Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy;
| | - Daniele Urso
- Centro per le Malattie Neurodegenerative e l’Invecchiamento Cerebrale, Dipartimento di Ricerca Clinica in Neurologia, Università degli Studi di Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy; (D.U.); (B.T.); (S.N.)
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK
| | - Claudio Lo Giudice
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo Moro, Via A. Orabona 4, 70125 Bari, Italy; (C.L.G.); (E.P.); (G.P.)
| | - Ernesto Picardi
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo Moro, Via A. Orabona 4, 70125 Bari, Italy; (C.L.G.); (E.P.); (G.P.)
- Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari, Consiglio Nazionale delle Ricerche, Via G. Amendola 122/O, 70126 Bari, Italy
| | - Benedetta Tafuri
- Centro per le Malattie Neurodegenerative e l’Invecchiamento Cerebrale, Dipartimento di Ricerca Clinica in Neurologia, Università degli Studi di Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy; (D.U.); (B.T.); (S.N.)
| | - Salvatore Nigro
- Centro per le Malattie Neurodegenerative e l’Invecchiamento Cerebrale, Dipartimento di Ricerca Clinica in Neurologia, Università degli Studi di Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy; (D.U.); (B.T.); (S.N.)
- Istituto di Nanotecnologia (NANOTEC), Consiglio Nazionale delle Ricerche, Via Monteroni, 73100 Lecce, Italy
| | - Graziano Pesole
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo Moro, Via A. Orabona 4, 70125 Bari, Italy; (C.L.G.); (E.P.); (G.P.)
- Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari, Consiglio Nazionale delle Ricerche, Via G. Amendola 122/O, 70126 Bari, Italy
| | - Sabina Tangaro
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Via A. Orabona 4, 70125 Bari, Italy
| | - Giancarlo Logroscino
- Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso, Università degli Studi di Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy;
- Centro per le Malattie Neurodegenerative e l’Invecchiamento Cerebrale, Dipartimento di Ricerca Clinica in Neurologia, Università degli Studi di Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy; (D.U.); (B.T.); (S.N.)
| | - Roberto Bellotti
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via A. Orabona 4, 70125 Bari, Italy; (E.P.); (A.M.); (N.A.); (L.B.); (S.T.); (R.B.)
- Dipartimento Interateneo di Fisica M. Merlin, Università degli Studi di Bari Aldo Moro, Via G. Amendola 173, 70125 Bari, Italy
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Kozina E, Byrne M, Smeyne RJ. Mutant LRRK2 in lymphocytes regulates neurodegeneration via IL-6 in an inflammatory model of Parkinson's disease. NPJ Parkinsons Dis 2022; 8:24. [PMID: 35292674 PMCID: PMC8924242 DOI: 10.1038/s41531-022-00289-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 02/01/2022] [Indexed: 12/23/2022] Open
Abstract
Mutations in a number of genes contribute to development of Parkinson’s disease (PD), including several within the LRRK2 gene. However, little is known about the signals that underlie LRRK2-mediated neuronal loss. One clue resides in the finding that the neurodegenerative cascades emanate from signals arising from the peripheral immune system. Here, using two chimeric mouse models, we demonstrate that: 1) the replacement of mutant LRRK2 with wt form of the protein in T- and B-lymphocytes diminishes LPS-mediated inflammation and rescues the SNpc DA neuron loss in the mutant LRRK2 brain; 2) the presence of G2019S or R1441G LRRK2 mutation in lymphocytes alone is sufficient for LPS-induced DA neuron loss in the genotypically wt brain; and 3) neutralization of peripheral IL-6 overproduction prevents the SNpc DA neuron loss in LPS-treated mutant LRRK2 mice. These results represent a major paradigm shift in our understanding of PD pathogenesis and suggest that immune dysfunction in some forms of familial PD may have primacy over the CNS as the initiating site of the disorder.
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Affiliation(s)
- Elena Kozina
- Department of Neurosciences, Jefferson Hospital for Neuroscience, Thomas Jefferson University, 900 Walnut St, Philadelphia, PA, 19107, USA
| | - Matthew Byrne
- Department of Neurosciences, Jefferson Hospital for Neuroscience, Thomas Jefferson University, 900 Walnut St, Philadelphia, PA, 19107, USA
| | - Richard Jay Smeyne
- Department of Neurosciences, Jefferson Hospital for Neuroscience, Thomas Jefferson University, 900 Walnut St, Philadelphia, PA, 19107, USA.
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High neutrophil-to-lymphocyte ratio predicts short survival in multiple system atrophy. NPJ Parkinsons Dis 2022; 8:11. [PMID: 35058467 PMCID: PMC8776861 DOI: 10.1038/s41531-021-00267-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 12/10/2021] [Indexed: 02/05/2023] Open
Abstract
The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, can predict the prognosis of neurodegenerative diseases. However, the significance of NLR for the prognosis of multiple system atrophy (MSA) has not been reported. We aimed to examine the prognostic significance of NLR in MSA. A total of 169 MSA patients and 163 matched healthy controls (HCs) were enrolled. MSA patients were divided into three groups according to the tertiles of their NLR. Kaplan–Meier survival analysis and Cox regression model were used to assessing the effect of NLR on survival. An independent validation cohort of 56 consecutive patients with probable MSA who met the inclusion criteria was included. The NLR was significantly higher in patients with MSA than that in HCs. The survival duration in patients with MSA in group 3 was shorter than that in patients in the other two groups (P = 0.013). In the multivariable Cox regression model, a higher NLR increased the risk of mortality in patients with MSA after adjusting for confounding factors (HR = 1.922, P = 0.035). Additionally, a higher NLR increased the risk of mortality in MSA with predominant cerebellar ataxia (MSA-C) (HR = 2.398, P = 0.033) and in men (HR = 3.483, P = 0.027). The concordance index for the multivariate Cox regression model was more than 0.7 both in the primary cohort and external validation cohort. Patients with MSA had a higher NLR than did HCs. A high NLR increased the risk of mortality with MSA, especially in MSA-C and in men.
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