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Niu X, Yin P, Shao Q, Chen L, Cui G, Xu C, Zan K. Corneal nerve fibre loss as a marker to identify the impact of diabetes on Parkinson's disease. Psychogeriatrics 2024; 24:1267-1274. [PMID: 39210676 DOI: 10.1111/psyg.13187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Patients with Parkinson's disease (PD) suffer from serious quality of life problems. Diabetes has been demonstrated as an independent risk element for PD, aggravating its severity and accelerating its progression. There are currently no suitable biomarkers to reveal the impact of diabetes on PD. The purpose of our research was to study the impact of diabetes on PD using corneal confocal microscopy (CCM), a non-invasive and objective test. METHODS Fourteen PD patients with diabetes (PD-DM), 60 PD patients without diabetes (PD-NDM), and 30 healthy controls (HC) were included in the study. The clinical symptoms of patients with PD were assessed using the Unified Parkinson's Disease Rating Scale-3 (UPDRS-3) and the Parkinson's Disease Autonomic Symptom Prognosis Scale (SCOPA-AUT). Participants underwent CCM to quantify the corneal nerve fibres. RESULTS Corneal nerve fibre density (CNFD) and corneal nerve fibre length (CNFL) in patients with PD were lower than HC. Furthermore, CNFD in PD-DM was lower than in PD-NDM (P < 0.01). We also assessed the relationship between CCM parameters and clinical scores. CNFL and Hamilton anxiety (HAMA) have a negative correlation (r = -0.261, P = 0.032), but this study did not observe a significant correlation between CCM parameters and SCOPA-AUT. Additionally, CNFD could distinguish PD-DM from PD-NDM, achieving an area under the curve of 75.06% (95% CI, 61.76%-88.36%). CONCLUSIONS The CCM could be served as an objective and sensitive biomarker to investigate the impact of diabetes in PD.
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Affiliation(s)
- Xuebin Niu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Peixiao Yin
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Qiuyue Shao
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Lu Chen
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
- Department of Ophthalmology, Xuzhou Medical University, Xuzhou, China
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Kun Zan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
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Eleftheriadou A, Spallone V, Tahrani AA, Alam U. Cardiovascular autonomic neuropathy in diabetes: an update with a focus on management. Diabetologia 2024:10.1007/s00125-024-06242-0. [PMID: 39120767 DOI: 10.1007/s00125-024-06242-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 06/10/2024] [Indexed: 08/10/2024]
Abstract
Cardiovascular autonomic neuropathy (CAN) is an under-recognised yet highly prevalent microvascular complication of diabetes. CAN affects approximately 20% of people with diabetes, with recent studies highlighting the presence of CAN in prediabetes (impaired glucose tolerance and/or impaired fasting glucose), indicating early involvement of the autonomic nervous system. Understanding of the pathophysiology of CAN continues to evolve, with emerging evidence supporting a potential link between lipid metabolites, mitochondrial dysfunction and genetics. Recent advancements, such as streamlining CAN detection through wearable devices and monitoring of heart rate variability, present simplified and cost-effective approaches for early CAN detection. Further research on the optimal use of the extensive data provided by such devices is required. Despite the lack of specific pharmacological interventions targeting the underlying pathophysiology of autonomic neuropathy, several studies have suggested a favourable impact of newer glucose-lowering agents, such as sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide-1 receptor agonists, where there is a wealth of clinical trial data on the prevention of cardiovascular events. This review delves into recent developments in the area of CAN, with emphasis on practical guidance to recognise and manage this underdiagnosed condition, which significantly increases the risk of cardiovascular events and mortality in diabetes.
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Affiliation(s)
- Aikaterini Eleftheriadou
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Vincenza Spallone
- Endocrinology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Abd A Tahrani
- Institute of Metabolism and Systems, School of Clinical and Experimental Medicine, University of Birmingham, Birmingham, UK
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, Birmingham, UK
| | - Uazman Alam
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
- Department of Medicine, University Hospital Aintree, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, UK.
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3
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Steven P, Setu A. Objective Analysis of Corneal Nerves and Dendritic Cells. Klin Monbl Augenheilkd 2024; 241:713-721. [PMID: 38941998 DOI: 10.1055/a-2307-0313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
Abstract
Corneal nerves and dendritic cells are increasingly being visualised to serve as clinical parameters in the diagnosis of ocular surface diseases using intravital confocal microscopy. In this review, different methods of image analysis are presented. The use of deep learning algorithms, which enable automated pattern recognition, is explained in detail using our own developments and compared with other established methods.
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Affiliation(s)
- Philipp Steven
- Klinik I für Innere Medizin, Centrum für Integrierte Onkologie CIO, Uniklinik Köln, Deutschland
- Zentrum für Augenheilkunde, AG Augenoberfläche, Uniklinik Köln, Deutschland
| | - Asif Setu
- Zentrum für Augenheilkunde, AG Augenoberfläche, Uniklinik Köln, Deutschland
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4
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Mohamed AA, Caussat T, Mouhawasse E, Ali R, Johansen PM, Lucke-Wold B. Neurosurgical Intervention for Nerve and Muscle Biopsies. Diagnostics (Basel) 2024; 14:1169. [PMID: 38893695 PMCID: PMC11172125 DOI: 10.3390/diagnostics14111169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/21/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
(1) Background: Neurologic and musculoskeletal diseases represent a considerable portion of the underlying etiologies responsible for the widely prevalent symptoms of pain, weakness, numbness, and paresthesia. Because of the subjective and often nonspecific nature of these symptoms, different diagnostic modalities have been explored and utilized. (2) Methods: Literature review. (3) Results: Nerve and muscle biopsy remains the gold standard for diagnosing many of the responsible neurological and musculoskeletal conditions. However, the need for invasive tissue sampling is diminishing as more investigations explore alternative diagnostic modalities. Because of this, it is important to explore the current role of neurosurgical intervention for nerve and muscle biopsies and its current relevance in the diagnostic landscape of neurological and musculoskeletal disorders. With consideration of the role of nerve and muscle biopsy, it is also important to explore innovations and emerging techniques for conducting these procedures. This review explores the indications and emerging techniques for neurological intervention for nerve and muscle biopsies. (4) Conclusions: The role of neurosurgical intervention for nerve and muscle biopsy remains relevant in diagnosing many neurological and musculoskeletal disorders. Biopsy is especially relevant as a supportive point of evidence for diagnosis in atypical cases. Additionally, emerging techniques have been explored to guide diagnostics and biopsy, conduct less invasive biopsies, and reduce risks of worsening neurologic function and other symptoms secondary to biopsy.
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Affiliation(s)
- Ali A. Mohamed
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Thomas Caussat
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Edwin Mouhawasse
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Rifa Ali
- College of Medicine, University of Central Florida, Orlando, FL 32827, USA
| | - Phillip M. Johansen
- Department of Neurosurgery and Brain Repair, University of South Florida, Tampa, FL 33613, USA
| | - Brandon Lucke-Wold
- Department of Neurosurgery, University of Florida, Gainesville, FL 32608, USA
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5
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Niu X, Yin P, Guan C, Shao Q, Cui G, Zan K, Xu C. Corneal confocal microscopy may help to distinguish Multiple System Atrophy from Parkinson's disease. NPJ Parkinsons Dis 2024; 10:63. [PMID: 38493181 PMCID: PMC10944503 DOI: 10.1038/s41531-024-00680-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Abstract
Multiple system atrophy (MSA) and Parkinson's disease (PD) have clinical overlapping symptoms, which makes differential diagnosis difficult. Our research aimed to distinguish MSA from PD using corneal confocal microscopy (CCM), a noninvasive and objective test. The study included 63 PD patients, 30 MSA patients, and 31 healthy controls (HC). When recruiting PD and MSA, questionnaires were conducted on motor and non-motor functions, such as autonomic and cognitive functions. Participants underwent CCM to quantify the corneal nerve fibers. Corneal nerve fiber density (CNFD) and corneal nerve fiber length (CNFL) values in MSA are lower than PD (MSA vs. PD: CNFD, 20.68 ± 6.70 vs. 24.64 ± 6.43 no./mm2, p < 0.05; CNFL, 12.01 ± 3.25 vs. 14.17 ± 3.52 no./mm2, p < 0.05). In MSA + PD (combined), there is a negative correlation between CNFD and the Orthostatic Grading Scale (OGS) (r = -0.284, p = 0.007). Similarly, CNFD in the only MSA group was negatively correlated with the Unified Multiple System Atrophy Rating Scale I and II (r = -0.391, p = 0.044; r = -0.382, p = 0.049). CNFD and CNFL were inversely associated with MSA (CNFD: β = -0.071; OR, 0.932; 95% CI, 0.872 ~ 0.996; p = 0.038; CNFL: β = -0.135; OR, 0.874; 95% CI, 0.768-0.994; p = 0.040). Furthermore, we found the area under the receiver operating characteristic curve (ROC) of CNFL was the largest, 72.01%. The CCM could be an objective and sensitive biomarker to distinguish MSA from PD. It visually reflects a more severe degeneration in MSA compared to PD.
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Affiliation(s)
- Xuebin Niu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Peixiao Yin
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chenyang Guan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qiuyue Shao
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Kun Zan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China.
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, Jiangsu, China.
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Marshall A, Rapteas L, Burgess J, Riley D, Anson M, Matsumoto K, Bennett A, Kaye S, Marshall A, Dunham J, Fallon N, Zhao SS, Pritchard A, Goodson N, Malik RA, Goebel A, Frank B, Alam U. Small fibre pathology, small fibre symptoms and pain in fibromyalgia syndrome. Sci Rep 2024; 14:3947. [PMID: 38365860 PMCID: PMC10873371 DOI: 10.1038/s41598-024-54365-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 02/12/2024] [Indexed: 02/18/2024] Open
Abstract
A proportion of people with fibromyalgia demonstrate small fibre pathology (SFP). However, it is unclear how SFP directly relates to pain phenomenology. Thirty-three individuals with FMS and ten healthy volunteers underwent assessment of SFP and sensory phenotyping using corneal confocal microscopy, validated questionnaires and quantitative sensory testing (QST). Corneal nerve fibre length was used to stratify participants with fibromyalgia into with SFP [SFP+] and without SFP [SFP-]. SFP was detected in 50% of the fibromyalgia cohort. Current pain score and QST parameters did not differ between SFP+ and SFP-. Mechanical pain sensitivity (MPS) demonstrated a significant gain-of-function in the SFP- cohort compared to healthy-volunteers (p = 0.014, F = 4.806, η2 = 0.22). Further stratification revealed a cohort without structural SFP but with symptoms compatible with small fibre neuropathy symptoms and a significant gain in function in MPS (p = 0.020 Chi-square). Additionally, this cohort reported higher scores for both depression (p = 0.039, H = 8.483, η2 = 0.312) and anxiety (p = 0.022, F = 3.587, η2 = 0.293). This study confirms that SFP is present in a proportion of people with fibromyalgia. We also show that in a proportion of people with fibromyalgia, small fibre neuropathy symptoms are present in the absence of structural SFP. Greater mechanical pain sensitivity, depression and anxiety are seen in these individuals.
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Affiliation(s)
- Anne Marshall
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
| | - Leandros Rapteas
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Jamie Burgess
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - David Riley
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital, Liverpool, UK
| | - Matthew Anson
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital, Liverpool, UK
| | - Kohei Matsumoto
- Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital, Liverpool, UK
| | - Amanda Bennett
- Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital, Liverpool, UK
| | - Stephen Kaye
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Andrew Marshall
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - James Dunham
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
| | - Nicholas Fallon
- Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Sizheng S Zhao
- Faculty of Biological Medicine and Health, Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - Anne Pritchard
- Fibromates, North West Fibromyalgia Support Group, Liverpool, UK
| | - Nicola Goodson
- Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital, Liverpool, UK
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Rayaz A Malik
- Research Division, Weill Cornell Medicine-Qatar, Qatar Foundation, 24144, Doha, Qatar
| | - Andreas Goebel
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Bernhard Frank
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Uazman Alam
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
- Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital, Liverpool, UK.
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7
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Yeung AM, Huang J, Nguyen KT, Xu NY, Hughes LT, Agrawal BK, Ejskjaer N, Klonoff DC. Painful Diabetic Neuropathy: The Need for New Approaches. J Diabetes Sci Technol 2024; 18:159-167. [PMID: 36305521 PMCID: PMC10899841 DOI: 10.1177/19322968221132252] [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] [Indexed: 11/16/2022]
Abstract
Painful diabetic neuropathy is a common vexing problem for people with diabetes and a costly problem for society. The pathophysiology is not well understood, and no safe and effective mechanistically-based treatment has been identified. Poor glycemic control is a risk factor for painful diabetic neuropathy. Excessive intraneuronal glucose in people with diabetes can be shunted away from physiological glycolysis into multiple pathological pathways associated with neuropathy and pain. The first three treatments that are traditionally offered consist of risk factor reduction, lifestyle modifications, and pharmacological therapy, which includes only three drugs that are approved for this indication by the United States Food and Drug Administration. All of these traditional treatments are often inadequate for relieving neuropathic pain, and thus, new approaches are needed. Modern devices based on neuromodulation technology, which act directly on the nervous system, have been recently cleared by the United States Food and Drug Administration for painful diabetic neuropathy and offer promise as next-in-line therapy when traditional therapies fail.
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Affiliation(s)
| | | | | | - Nicole Y. Xu
- Diabetes Technology Society, Burlingame, CA, USA
| | - Lorenzo T. Hughes
- Balance Health, San Francisco, CA, USA
- Mills-Peninsula Medical Center, Burlingame, CA, USA
| | | | - Niels Ejskjaer
- Steno Diabetes Center North Denmark and Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - David C. Klonoff
- Diabetes Technology Society, Burlingame, CA, USA
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
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Petropoulos IN, John K, Al-Shibani F, Ponirakis G, Khan A, Gad H, Mahfoud ZR, Altarawneh H, Rehman MH, Al-Merekhi D, George P, Ibrahim F, Francis R, Canibano B, Deleu D, El-Sotouhy A, Vattoth S, Stettner M, Own A, Shuaib A, Akhtar N, Kamran S, Malik RA. Corneal immune cells as a biomarker of inflammation in multiple sclerosis: a longitudinal study. Ther Adv Neurol Disord 2023; 16:17562864231204974. [PMID: 37915502 PMCID: PMC10617262 DOI: 10.1177/17562864231204974] [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: 06/05/2023] [Accepted: 09/12/2023] [Indexed: 11/03/2023] Open
Abstract
Background Corneal immune cells (ICs) are antigen-presenting cells that are known to increase ocular and systemic inflammatory conditions. Objective We aimed to assess longitudinal changes in corneal IC in patients with multiple sclerosis (MS) and relation to disability and ongoing treatment. Design Prospective observational study conducted between September 2016 and February 2020. Methods Patients with relapsing-remitting MS (RRMS) (n = 45) or secondary progressive MS (SPMS) (n = 15) underwent corneal confocal microscopy (CCM) at baseline and 2-year follow-up for estimation of corneal IC density [dendritic cells with (DCF) (cells/mm2) or without nerve fiber contact (DCP); and non-dendritic cells with (NCF) or without nerve fiber contact (NCP)]. Optical coherence tomography, neuroimaging, and disability assessments were additionally performed. Healthy controls (n = 20) were assessed at baseline. Results In both RRMS and SPMS compared to controls, DCP (p < 0.001 and p < 0.001, respectively) and DCF (p < 0.001 and p = 0.005) were higher and NCF (p = 0.007 and p = 0.02) was lower at baseline. DCP showed excellent performance in identifying patients with MS (sensitivity/specificity = 0.88/0.90) followed by DCF (0.80/0.75) and NCF (0.80/0.85). At follow-up compared to baseline, DCP (p = 0.01) was significantly reduced, and NCP (p = 0.004) and NCF (p = 0.04) were increased. Subgroup analysis showed that baseline NCP and NCF were significantly higher (p = 0.04-0.05) in patients who switched disease-modifying treatment, and baseline NCP (p = 0.05) was higher in patients on interferon. Conclusion Baseline and change in corneal IC were related to axonal degeneration and treatment status. Evaluation of corneal IC using CCM may allow an assessment of ongoing inflammation, disease progression, and the effect of treatment in MS.
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Affiliation(s)
| | - Karen John
- Division of Research, Weill Cornell Medicine, Doha, Qatar
| | | | | | - Adnan Khan
- Division of Research, Weill Cornell Medicine, Doha, Qatar
| | - Hoda Gad
- Division of Research, Weill Cornell Medicine, Doha, Qatar
| | - Ziyad R. Mahfoud
- Division of Medical Education, Weill Cornell Medicine, Doha, Qatar
- Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | - Pooja George
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Faiza Ibrahim
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Reny Francis
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | | | - Dirk Deleu
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | | | - Surjith Vattoth
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mark Stettner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | - Ahmed Own
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ashfaq Shuaib
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
- Department of Medicine, University of Alberta, Edmonton, Qatar
| | - Naveed Akhtar
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Saadat Kamran
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Rayaz A. Malik
- Weill Cornell Medicine-Qatar of Cornell University, Research Division, Qatar Foundation, Education City, Al-Luqta street, Doha 24144, Qatar
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9
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Petropoulos IN, Malik RA. Spinal muscular atrophy: are small sensory fibres involved? Eur J Neurol 2023; 30:2593-2594. [PMID: 37363823 DOI: 10.1111/ene.15957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 06/23/2023] [Indexed: 06/28/2023]
Affiliation(s)
| | - Rayaz A Malik
- Research Division, Weill Cornell Medicine-Qatar of Cornell University, Doha, Qatar
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
- NIHR Clinical Research Facility, Manchester, UK
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10
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Preston FG, Riley DR, Azmi S, Alam U. Painful Diabetic Peripheral Neuropathy: Practical Guidance and Challenges for Clinical Management. Diabetes Metab Syndr Obes 2023; 16:1595-1612. [PMID: 37288250 PMCID: PMC10243347 DOI: 10.2147/dmso.s370050] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 05/16/2023] [Indexed: 06/09/2023] Open
Abstract
Painful diabetic peripheral neuropathy (PDPN) is present in nearly a quarter of people with diabetes. It is estimated to affect over 100 million people worldwide. PDPN is associated with impaired daily functioning, depression, sleep disturbance, financial instability, and a decreased quality of life. Despite its high prevalence and significant health burden, it remains an underdiagnosed and undertreated condition. PDPN is a complex pain phenomenon with the experience of pain associated with and exacerbated by poor sleep and low mood. A holistic approach to patient-centred care alongside the pharmacological therapy is required to maximise benefit. A key treatment challenge is managing patient expectation, as a good outcome from treatment is defined as a reduction in pain of 30-50%, with a complete pain-free outcome being rare. The future for the treatment of PDPN holds promise, despite a 20-year void in the licensing of new analgesic agents for neuropathic pain. There are over 50 new molecular entities reaching clinical development and several demonstrating benefit in early-stage clinical trials. We review the current approaches to its diagnosis, the tools, and questionnaires available to clinicians, international guidance on PDPN management, and existing pharmacological and non-pharmacological treatment options. We synthesise evidence and the guidance from the American Association of Clinical Endocrinology, American Academy of Neurology, American Diabetes Association, Diabetes Canada, German Diabetes Association, and the International Diabetes Federation into a practical guide to the treatment of PDPN and highlight the need for future research into mechanistic-based treatments in order to prioritise the development of personalised medicine.
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Affiliation(s)
- Frank G Preston
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences and the Pain Research Institute, University of Liverpool, Liverpool, UK
| | - David R Riley
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences and the Pain Research Institute, University of Liverpool, Liverpool, UK
| | - Shazli Azmi
- Institute of Cardiovascular Science, University of Manchester and Manchester Diabetes Centre, Manchester Foundation Trust, Manchester, UK
| | - Uazman Alam
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences and the Pain Research Institute, University of Liverpool, Liverpool, UK
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool University Hospital NHS Foundation Trust, Liverpool, UK
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11
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Paul P, Mahfoud ZR, Malik RA, Kaul R, Muffuh Navti P, Al-Sheikhly D, Chaari A. Knowledge, Awareness, and Attitude of Healthcare Stakeholders on Alzheimer's Disease and Dementia in Qatar. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4535. [PMID: 36901551 PMCID: PMC10002196 DOI: 10.3390/ijerph20054535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
Dementia is characterized by progressive cognitive decline, memory impairment, and disability. Alzheimer's disease (AD) accounts for 60-70% of cases, followed by vascular and mixed dementia. Qatar and the Middle East are at increased risk owing to aging populations and high prevalence of vascular risk factors. Appropriate levels of knowledge, attitudes, and awareness amongst health care professionals (HCPs) are the need of the hour, but literature indicates that these proficiencies may be inadequate, outdated, or markedly heterogenous. In addition to a review of published quantitative surveys investigating similar questions in the Middle East, a pilot cross-sectional online needs-assessment survey was undertaken to gauge these parameters of dementia and AD among healthcare stakeholders in Qatar between 19 April and 16 May 2022. Overall, 229 responses were recorded between physicians (21%), nurses (21%), and medical students (25%), with two-thirds from Qatar. Over half the respondents reported that >10% of their patients were elderly (>60 years). Over 25% reported having contact with >50 patients with dementia or neurodegenerative disease annually. Over 70% had not undertake related education/training in the last 2 years. The knowledge of HCPs regarding dementia and AD was moderate (mean score of 5.3 ± 1.5 out of 7) and their awareness of recent advances in basic disease pathophysiology was lacking. Differences existed across professions and location of respondents. Our findings lay the groundwork for a call-to-action for healthcare institutions to improve dementia care within Qatar and the Middle East region.
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Affiliation(s)
| | - Ziyad Riyad Mahfoud
- Division of Medical Education, Weill Cornell Medicine-Qatar, Doha 24144, Qatar
- Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, NY 10065, New York, USA
| | - Rayaz A. Malik
- Division of Medicine, Weill Cornell Medicine-Qatar, Doha 24144, Qatar
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NT, UK
- Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK
| | | | - Phyllis Muffuh Navti
- Division of Continuing Professional Development, Weill Cornell Medicine-Qatar, Doha 24144, Qatar
| | - Deema Al-Sheikhly
- Division of Medical Education, Weill Cornell Medicine-Qatar, Doha 24144, Qatar
- Division of Continuing Professional Development, Weill Cornell Medicine-Qatar, Doha 24144, Qatar
| | - Ali Chaari
- Premedical Division, Weill Cornell Medicine-Qatar, Doha 24144, Qatar
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Kutafina E, Becker S, Namer B. Measuring pain and nociception: Through the glasses of a computational scientist. Transdisciplinary overview of methods. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:1099282. [PMID: 36926544 PMCID: PMC10013045 DOI: 10.3389/fnetp.2023.1099282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/04/2023] [Indexed: 02/12/2023]
Abstract
In a healthy state, pain plays an important role in natural biofeedback loops and helps to detect and prevent potentially harmful stimuli and situations. However, pain can become chronic and as such a pathological condition, losing its informative and adaptive function. Efficient pain treatment remains a largely unmet clinical need. One promising route to improve the characterization of pain, and with that the potential for more effective pain therapies, is the integration of different data modalities through cutting edge computational methods. Using these methods, multiscale, complex, and network models of pain signaling can be created and utilized for the benefit of patients. Such models require collaborative work of experts from different research domains such as medicine, biology, physiology, psychology as well as mathematics and data science. Efficient work of collaborative teams requires developing of a common language and common level of understanding as a prerequisite. One of ways to meet this need is to provide easy to comprehend overviews of certain topics within the pain research domain. Here, we propose such an overview on the topic of pain assessment in humans for computational researchers. Quantifications related to pain are necessary for building computational models. However, as defined by the International Association of the Study of Pain (IASP), pain is a sensory and emotional experience and thus, it cannot be measured and quantified objectively. This results in a need for clear distinctions between nociception, pain and correlates of pain. Therefore, here we review methods to assess pain as a percept and nociception as a biological basis for this percept in humans, with the goal of creating a roadmap of modelling options.
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Affiliation(s)
- Ekaterina Kutafina
- Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
- Faculty of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland
| | - Susanne Becker
- Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University, Düsseldorf, Germany
- Integrative Spinal Research, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Barbara Namer
- Junior Research Group Neuroscience, Interdisciplinary Center for Clinical Research Within the Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Institute of Physiology, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Diabetic Retinopathy: Soluble and Imaging Ocular Biomarkers. J Clin Med 2023; 12:jcm12030912. [PMID: 36769560 PMCID: PMC9917666 DOI: 10.3390/jcm12030912] [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: 12/31/2022] [Revised: 01/18/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023] Open
Abstract
Diabetic retinopathy (DR), the most common microvascular complication of diabetes mellitus, represents the leading cause of acquired blindness in the working-age population. Due to the potential absence of symptoms in the early stages of the disease, the identification of clinical biomarkers can have a crucial role in the early diagnosis of DR as well as for the detection of prognostic factors. In particular, imaging techniques are fundamental tools for screening, diagnosis, classification, monitoring, treatment planning and prognostic assessment in DR. In this context, the identification of ocular and systemic biomarkers is crucial to facilitate the risk stratification of diabetic patients; moreover, reliable biomarkers could provide prognostic information on disease progression as well as assist in predicting a patient's response to therapy. In this context, this review aimed to provide an updated and comprehensive overview of the soluble and anatomical biomarkers associated with DR.
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Midena E, Cosmo E, Cattelan AM, Briani C, Leoni D, Capizzi A, Tabacchi V, Parrozzani R, Midena G, Frizziero L. Small Fibre Peripheral Alterations Following COVID-19 Detected by Corneal Confocal Microscopy. J Pers Med 2022; 12:jpm12040563. [PMID: 35455679 PMCID: PMC9030195 DOI: 10.3390/jpm12040563] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 12/07/2022] Open
Abstract
A large spectrum of neurological manifestations has been associated with coronavirus disease 2019 (COVID-19), and recently, the involvement of small fibers has been suggested. This study aims to investigate the involvement of small peripheral nervous fibers in recovered COVID-19 patients using in-vivo corneal confocal microscopy (CCM). Patients recovered from COVID-19 and a control group of healthy subjects underwent in-vivo CCM. Corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal nerve fiber length (CNFL), corneal nerve fiber total branch density (CTBD), corneal nerve fiber area (CNFA), corneal nerve fiber width (CNFW), fiber tortuosity (FT), number of beadings (NBe), and dendritic cells (DC) density were quantified. We enrolled 302 eyes of 151 patients. CNBD and FT were significantly higher (p = 0.0131, p < 0.0001), whereas CNFW and NBe were significantly lower (p = 0.0056, p = 0.0045) in the COVID-19 group compared to controls. Only CNBD and FT resulted significantly correlated to antiviral drugs (increased) and corticosteroids (decreased). No significant relationship with disease severity parameters was found. COVID-19 may induce peripheral neuropathy in small fibers even months after recovery, regardless of systemic conditions and therapy, and CCM may be a useful tool to identify and monitor these morphological changes.
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Affiliation(s)
- Edoardo Midena
- Ophthalmology Unit, Department of Neuroscience, University of Padova, 35128 Padova, Italy; (V.T.); (R.P.); (L.F.)
- IRCCS—Fondazione Bietti, 00198 Rome, Italy; (E.C.); (G.M.)
- Correspondence: ; Tel.: +39-049-821-2110
| | - Eleonora Cosmo
- IRCCS—Fondazione Bietti, 00198 Rome, Italy; (E.C.); (G.M.)
| | - Anna Maria Cattelan
- Unit of Infectious Disease, Department of Internal Medicine, University of Padova, 35128 Padova, Italy; (A.M.C.); (D.L.)
| | - Chiara Briani
- Neurology Unit, Department of Neuroscience, University of Padova, 35128 Padova, Italy;
| | - Davide Leoni
- Unit of Infectious Disease, Department of Internal Medicine, University of Padova, 35128 Padova, Italy; (A.M.C.); (D.L.)
| | - Alfio Capizzi
- Department of Directional Hospital Management, University of Padova, 35128 Padova, Italy;
| | - Vanessa Tabacchi
- Ophthalmology Unit, Department of Neuroscience, University of Padova, 35128 Padova, Italy; (V.T.); (R.P.); (L.F.)
| | - Raffaele Parrozzani
- Ophthalmology Unit, Department of Neuroscience, University of Padova, 35128 Padova, Italy; (V.T.); (R.P.); (L.F.)
| | - Giulia Midena
- IRCCS—Fondazione Bietti, 00198 Rome, Italy; (E.C.); (G.M.)
| | - Luisa Frizziero
- Ophthalmology Unit, Department of Neuroscience, University of Padova, 35128 Padova, Italy; (V.T.); (R.P.); (L.F.)
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