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Malik RA, Hwu CM, Jammah AA, Arteaga-Díaz JM, Djaballah K, Pilorget V, Alvarez A, Vera C, Vikulova O. Real-world effectiveness and safety of insulin glargine 100 U/mL plus lixisenatide in adults with type 2 diabetes: An international, multicentre, 12-month, prospective observational study. Diabetes Obes Metab 2024. [PMID: 38637981 DOI: 10.1111/dom.15599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/19/2024] [Accepted: 03/30/2024] [Indexed: 04/20/2024]
Abstract
AIM To assess the impact of insulin glargine (100 U/mL) and lixisenatide (iGlarLixi) fixed-ratio combination therapy on the overall management of glycaemia in patients with type 2 diabetes (T2D), previously inadequately controlled with oral antidiabetic drugs ± basal insulin or glucagon-like peptide-1 receptor agonists (GLP-1 RAs). MATERIALS AND METHODS This 12-month, international, multicentre, prospective, observational study included patients (age ≥ 18 years) with T2D who had initiated iGlarLixi within 1 month prior to study inclusion. Data were collected at study inclusion, month 3, month 6 and month 12 from patient diaries, self-measured plasma glucose, and questionnaires. The primary endpoint was change in HbA1c from baseline to month 6. RESULTS Of the 737 eligible participants (mean age: 57.8 [standard deviation: 11.2] years; male: 49%), 685 had baseline and post-baseline HbA1c data available. The least squares mean change in HbA1c from baseline to month 6 was -1.4% (standard error [95% confidence interval (CI)]: 0.05 [-1.5, -1.3]). The absolute change from baseline at month 12 was -1.7% ± 1.9% (95% CI: -1.9, -1.5). There were 72 hypoglycaemia events reported during the study period, with a very low incidence of severe hypoglycaemia (two participants [rate: 0.003 events per patient-year]). CONCLUSIONS This real-world observational study shows that initiation of iGlarLixi in people with T2D inadequately controlled on oral antidiabetic drugs ± basal insulin or GLP-1 RAs improves glycaemic control with a low incidence of hypoglycaemia.
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Affiliation(s)
- Rayaz A Malik
- Research Division, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Qatar
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Anwar A Jammah
- Endocrinology and DM Division, Department of Medicine, King Saud University, King Saud University Medical City, Riyadh, Saudi Arabia
| | - Juan M Arteaga-Díaz
- Division of Endocrinology, Department of Internal Medicine, School of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
| | | | | | | | - Carine Vera
- Ividata Life Sciences, Levallois-Perret, France
| | - Olga Vikulova
- Endocrinology Research Centre, Moscow, Russian Federation
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Schnell O, Barnard-Kelly K, Battelino T, Ceriello A, Larsson HE, Fernández-Fernández B, Forst T, Frias JP, Gavin JR, Giorgino F, Groop PH, Heerspink HJL, Herzig S, Hummel M, Huntley G, Ibrahim M, Itzhak B, Jacob S, Ji L, Kosiborod M, Lalic N, Macieira S, Malik RA, Mankovsky B, Marx N, Mathieu C, Müller TD, Ray K, Rodbard HW, Rossing P, Rydén L, Schumm-Draeger PM, Schwarz P, Škrha J, Snoek F, Tacke F, Taylor B, Jeppesen BT, Tesfaye S, Topsever P, Vilsbøll T, Yu X, Standl E. CVOT Summit Report 2023: new cardiovascular, kidney, and metabolic outcomes. Cardiovasc Diabetol 2024; 23:104. [PMID: 38504284 PMCID: PMC10953147 DOI: 10.1186/s12933-024-02180-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/21/2024] Open
Abstract
The 9th Cardiovascular Outcome Trial (CVOT) Summit: Congress on Cardiovascular, Kidney, and Metabolic Outcomes was held virtually on November 30-December 1, 2023. This reference congress served as a platform for in-depth discussions and exchange on recently completed outcomes trials including dapagliflozin (DAPA-MI), semaglutide (SELECT and STEP-HFpEF) and bempedoic acid (CLEAR Outcomes), and the advances they represent in reducing the risk of major adverse cardiovascular events (MACE), improving metabolic outcomes, and treating obesity-related heart failure with preserved ejection fraction (HFpEF). A broad audience of endocrinologists, diabetologists, cardiologists, nephrologists and primary care physicians participated in online discussions on guideline updates for the management of cardiovascular disease (CVD) in diabetes, heart failure (HF) and chronic kidney disease (CKD); advances in the management of type 1 diabetes (T1D) and its comorbidities; advances in the management of CKD with SGLT2 inhibitors and non-steroidal mineralocorticoid receptor antagonists (nsMRAs); and advances in the treatment of obesity with GLP-1 and dual GIP/GLP-1 receptor agonists. The association of diabetes and obesity with nonalcoholic steatohepatitis (NASH; metabolic dysfunction-associated steatohepatitis, MASH) and cancer and possible treatments for these complications were also explored. It is generally assumed that treatment of chronic diseases is equally effective for all patients. However, as discussed at the Summit, this assumption may not be true. Therefore, it is important to enroll patients from diverse racial and ethnic groups in clinical trials and to analyze patient-reported outcomes to assess treatment efficacy, and to develop innovative approaches to tailor medications to those who benefit most with minimal side effects. Other keys to a successful management of diabetes and comorbidities, including dementia, entail the use of continuous glucose monitoring (CGM) technology and the implementation of appropriate patient-physician communication strategies. The 10th Cardiovascular Outcome Trial Summit will be held virtually on December 5-6, 2024 ( http://www.cvot.org ).
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Affiliation(s)
- Oliver Schnell
- Forschergruppe Diabetes e. V, Helmholtz Center Munich, Ingolstaedter Landstraße 1, 85764, Neuherberg (Munich), Germany.
| | | | - Tadej Battelino
- University Medical Center, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Helena Elding Larsson
- Department of Pediatrics, Skåne University Hospital, Malmö/Lund, Sweden
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | | | - Thomas Forst
- CRS Clinical Research Services Mannheim GmbH, Mannheim, Germany
| | | | - James R Gavin
- Emory University School of Medicine, Atlanta, GA, United States of America
| | - Francesco Giorgino
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy
| | - Per-Henrik Groop
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Diabetes, Central Medical School, Monash University, Melbourne, Australia
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Stephan Herzig
- Division Diabetic Complications, Institute for Diabetes and Cancer, Helmholtz Center Munich, Neuherberg, Germany
| | - Michael Hummel
- Forschergruppe Diabetes e. V, Helmholtz Center Munich, Ingolstaedter Landstraße 1, 85764, Neuherberg (Munich), Germany
| | - George Huntley
- Diabetes Leadership Council, Indianapolis, IN, United States of America
| | - Mahmoud Ibrahim
- Center for Diabetes Education, EDC, Charlotte, NC, United States of America
| | - Baruch Itzhak
- Clalit Health Services, Haifa, Israel
- Technion Faculty of Medicine, Haifa, Israel
| | - Stephan Jacob
- Practice for Prevention and Therapy and Cardio-Metabolic Institute, Villingen-Schwenningen, Germany
| | - Linong Ji
- Peking University People's Hospital, Xicheng District, Beijing, China
| | - Mikhail Kosiborod
- Department of Cardiovascular Disease, Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, MO, United States of America
| | - Nebosja Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation-Education City, Ar-Rayyan, Doha, Qatar
| | - Boris Mankovsky
- Shupyk National Healthcare University of Ukraine, Kyiv, Ukraine
| | - Nikolaus Marx
- Clinic for Cardiology, Pneumology, Angiology and Internal Intensive Care Medicine (Medical Clinic I), RWTH Aachen University Hospital, Aachen, Germany
| | - Chantal Mathieu
- Department of Endocrinology, Catholic University Leuven, Leuven, Belgium
| | - Timo D Müller
- Institute for Diabetes and Obesity, Helmholtz Munich, Munich, Germany
- Walther-Straub Institute for Pharmacology and Toxicology, Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Kausik Ray
- School of Public Health, Imperial College London, London, United Kingdom
| | - Helena W Rodbard
- Endocrine and Metabolic Consultants, Rockville, MD, United States of America
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Rydén
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Peter Schwarz
- Medical Clinic III, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Jan Škrha
- Third Medical Department and Laboratory for Endocrinology and Metabolism, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Frank Snoek
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum and Campus Charité Mitte, Berlin, Germany
| | - Bruce Taylor
- Diabetes Patient Advocacy Coalition, Tampa, FL, United States of America
| | | | - Solomon Tesfaye
- Sheffield Teaching Hospitals, Sheffield, United Kingdom
- University of Sheffield, Sheffield, United Kingdom
| | - Pinar Topsever
- Department of Family Medicine, Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Türkiye
| | - Tina Vilsbøll
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Eberhard Standl
- Forschergruppe Diabetes e. V, Helmholtz Center Munich, Ingolstaedter Landstraße 1, 85764, Neuherberg (Munich), Germany
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Gad H, Kalra S, Pinzon R, Gracia RAN, Yotsombut K, Coetzee A, Nafach J, Lim LL, Fletcher PE, Lim V, Malik RA. Earlier diagnosis of peripheral neuropathy in primary care: A call to action. J Peripher Nerv Syst 2024; 29:28-37. [PMID: 38268316 DOI: 10.1111/jns.12613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 01/26/2024]
Abstract
Peripheral neuropathy (PN) often remains undiagnosed (~80%). Earlier diagnosis of PN may reduce morbidity and enable earlier risk factor reduction to limit disease progression. Diabetic peripheral neuropathy (DPN) is the most common PN and the 10 g monofilament is endorsed as an inexpensive and easily performed test for DPN. However, it only detects patients with advanced neuropathy at high risk of foot ulceration. There are many validated questionnaires to diagnose PN, but they can be time-consuming and have complex scoring systems. Primary care physicians (PCPs) have busy clinics and lack access to a readily available screening method to diagnose PN. They would prefer a short, simple, and accurate tool to screen for PN. Involving the patient in the screening process would not only reduce the time a physician requires to make a diagnosis but would also empower the patient. Following an expert meeting of diabetologists and neurologists from the Middle East, South East Asia and Latin America, a consensus was formulated to help improve the diagnosis of PN in primary care using a simple tool for patients to screen themselves for PN followed by a consultation with the physician to confirm the diagnosis.
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Affiliation(s)
- Hoda Gad
- Research Department, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital, Karnal, India
| | - Rizaldy Pinzon
- Neurology Department of the Bethesda, General Hospital Yogyakarta, Yogyakarta, Indonesia
| | - Rey-An Nino Gracia
- College of Medicine, De LA Salle, Health Medical and Science Institute College of Medicine, Manila, Philippines
| | - Kitiyot Yotsombut
- Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Ankia Coetzee
- Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Jalal Nafach
- Dubai Diabetes Center, Dubai Academic Health Corporation, Dubai, UAE
| | - Lee-Ling Lim
- Department of Medicine, Diabetes Care Unit, University of Malaya, Kuala Lumpur, Malaysia
| | - Pablo E Fletcher
- Endocrinology Department, Medical School, University of Panama, Panama, Panama
| | - Vivien Lim
- Endocrinology Department, Gleneagles Hospital, Singapore, Singapore
| | - Rayaz A Malik
- Research Department, Weill Cornell Medicine-Qatar, Doha, Qatar
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
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4
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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5
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Al-Akl NS, Khalifa O, Ponirakis G, Parray A, Ramadan M, Khan S, Chandran M, Ayadathil R, Elsotouhy A, Own A, Al Hamad H, Decock J, Alajez NM, Albagha O, Malik RA, El-Agnaf OMA, Arredouani A. Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study. Int J Mol Sci 2024; 25:2247. [PMID: 38396924 PMCID: PMC10889568 DOI: 10.3390/ijms25042247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
Diabetes is recognized as a risk factor for cognitive decline, but the underlying mechanisms remain elusive. We aimed to identify the metabolic pathways altered in diabetes-associated cognitive decline (DACD) using untargeted metabolomics. We conducted liquid chromatography-mass spectrometry-based untargeted metabolomics to profile serum metabolite levels in 100 patients with type 2 diabetes (T2D) (54 without and 46 with DACD). Multivariate statistical tools were used to identify the differentially expressed metabolites (DEMs), and enrichment and pathways analyses were used to identify the signaling pathways associated with the DEMs. The receiver operating characteristic (ROC) analysis was employed to assess the diagnostic accuracy of a set of metabolites. We identified twenty DEMs, seven up- and thirteen downregulated in the DACD vs. DM group. Chemometric analysis revealed distinct clustering between the two groups. Metabolite set enrichment analysis found significant enrichment in various metabolite sets, including galactose metabolism, arginine and unsaturated fatty acid biosynthesis, citrate cycle, fructose and mannose, alanine, aspartate, and glutamate metabolism. Pathway analysis identified six significantly altered pathways, including arginine and unsaturated fatty acid biosynthesis, and the metabolism of the citrate cycle, alanine, aspartate, glutamate, a-linolenic acid, and glycerophospholipids. Classifier models with AUC-ROC > 90% were developed using individual metabolites or a combination of individual metabolites and metabolite ratios. Our study provides evidence of perturbations in multiple metabolic pathways in patients with DACD. The distinct DEMs identified in this study hold promise as diagnostic biomarkers for DACD patients.
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Affiliation(s)
- Neyla S. Al-Akl
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Olfa Khalifa
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Georgios Ponirakis
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation (QF), Doha P.O. Box 24144, Qatar
| | - Aijaz Parray
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Marwan Ramadan
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Shafi Khan
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Mani Chandran
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Raheem Ayadathil
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Ahmed Elsotouhy
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
- Department of Clinical Radiology, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha P.O. Box 24144, Qatar
| | - Ahmed Own
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
- Neuroradiology Department, Hamad General Hospital, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar
| | - Hanadi Al Hamad
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Julie Decock
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Nehad M. Alajez
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Omar Albagha
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Rayaz A. Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation (QF), Doha P.O. Box 24144, Qatar
| | - Omar M. A. El-Agnaf
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Abdelilah Arredouani
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
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Ponirakis G, Odriozola A, Ortega L, Martinez L, Odriozola S, Torrens A, Coroleu D, Martínez S, Sanz X, Ponce M, Meije Y, Clemente M, Duarte A, Odriozola MB, Malik RA. Quantitative sensory testing defines the trajectory of sensory neuropathy after severe COVID-19. Diabetes Res Clin Pract 2024; 207:111029. [PMID: 38007044 DOI: 10.1016/j.diabres.2023.111029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/01/2023] [Accepted: 11/22/2023] [Indexed: 11/27/2023]
Abstract
AIMS To assess sensory neuropathy development after severe COVID-19. METHODS Patients with severe COVID-19 underwent assessment of neuropathic symptoms, tendon reflexes, and quantitative sensory testing to evaluate vibration (VPT), cold (CPT), warm (WPT) and heat perception thresholds (HPT) within 1-3 weeks of admission and after 1-year. RESULTS 32 participants with severe COVID-19 aged 68.6 ± 12.4 (18.8 % diabetes) were assessed. At baseline, numbness and neuropathic pain were present in 56.3 % and 43.8 % of participants, respectively. On the feet, VPT, WPT, and HPT were abnormal in 81.3 %, CPT was abnormal in 50.0 % and HPT on the face was abnormal in 12.5 % of patients. At 1-year follow-up, the prevalence of abnormal VPT (81.3 % vs 50.0 %, P < 0.01), WPT (81.3 % vs 43.8 %, P < 0.01), and HPT (81.3 % vs 50.0 %, P < 0.01) decreased, with no change in CPT (P = 0.21) on the feet or HPT on the face (P = 1.0). Only participants without diabetes recovered from an abnormal VPT, CPT, and WPT. Patients with long-COVID (37.5 %) had comparable baseline VPT, WPT and CPT with those without long-COVID (P = 0.07-0.69). CONCLUSIONS Severe COVID-19 is associated with abnormal vibration and thermal thresholds which are sustained for up to 1 year in patients with diabetes. Abnormal sensory thresholds have no association with long-COVID development.
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Affiliation(s)
- Georgios Ponirakis
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
| | | | | | | | | | | | | | | | - Xavier Sanz
- Hospital of Barcelona SCIAS, Barcelona, Spain
| | | | | | | | | | | | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
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7
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Rashid A, Al-Obeidat F, Hafez W, Benakatti G, Malik RA, Koutentis C, Sharief J, Brierley J, Quraishi N, Malik ZA, Anwary A, Alkhzaimi H, Zaki SA, Khilnani P, Kadwa R, Phatak R, Schumacher M, Shaikh MG, Al-Dubai A, Hussain A. ADVANCING THE UNDERSTANDING OF CLINICAL SEPSIS USING GENE EXPRESSION-DRIVEN MACHINE LEARNING TO IMPROVE PATIENT OUTCOMES. Shock 2024; 61:4-18. [PMID: 37752080 DOI: 10.1097/shk.0000000000002227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
ABSTRACT Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of machine learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. The lack of a clear definition of sepsis is highlighted as a major hurdle, but ML models offer a workaround by focusing on endpoint prediction. We emphasize the significance of gene transcript information and its use in ML models to provide insights into sepsis pathophysiology and biomarker identification. Temporal analysis and integration of gene expression data further enhance the accuracy and predictive capabilities of ML models for sepsis. Although challenges such as interpretability and bias exist, ML research offers exciting prospects for addressing critical clinical problems, improving sepsis management, and advancing precision medicine approaches. Collaborative efforts between clinicians and data scientists are essential for the successful implementation and translation of ML models into clinical practice. Machine learning has the potential to revolutionize our understanding of sepsis and significantly improve patient outcomes. Further research and collaboration between clinicians and data scientists are needed to fully understand the potential of ML in sepsis management.
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Affiliation(s)
| | - Feras Al-Obeidat
- College of Technological Innovation Zayed University, Abu Dhabi, UAE
| | | | | | | | - Christos Koutentis
- Department of Anesthesiology, SUNY Downstate Medical Center, Brooklyn, New York
| | | | - Joe Brierley
- University College London, NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - Nasir Quraishi
- Centre for Spinal Studies & Surgery, Queen's Medical Centre; The University of Nottingham, Nottingham, UK
| | - Zainab A Malik
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, U.A.E
| | - Arif Anwary
- School of Computing, Edinburgh Napier University, Edinburgh, UK
| | | | - Syed Ahmed Zaki
- All India Institute of Medical Sciences, Bibinagar, Hyderabad, India
| | | | - Raziya Kadwa
- Department of Anesthesiology, SUNY Downstate Medical Center, Brooklyn, New York
| | - Rajesh Phatak
- Pediatric Intensive Care, Burjeel Hospital, Najda, Abu Dhabi
| | | | - M Guftar Shaikh
- Department of Paediatric Endocrinology, Royal Hospital for Children, Glasgow, UK
| | - Ahmed Al-Dubai
- School of Computing, Edinburgh Napier University, Edinburgh, UK
| | - Amir Hussain
- School of Computing, Edinburgh Napier University, Edinburgh, UK
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Lim SH, Ferdousi M, Bhattacharjee S, Kalteniece A, Mahfoud ZR, Petropoulos IN, Malik RA, Kobylecki C, Silverdale M. Corneal confocal microscopy demonstrates varying degrees of neurodegeneration in atypical parkinsonian disorders. Parkinsonism Relat Disord 2023; 117:105899. [PMID: 37948830 DOI: 10.1016/j.parkreldis.2023.105899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/27/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE We have used corneal confocal microscopy (CCM) to identify corneal nerve loss as a potential marker of neurodegeneration in participants with Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). METHODS Patients with PD (n = 19), PSP (n = 11), MSA (n = 8) and healthy controls (n = 18) underwent neurological assessment and CCM. RESULTS Corneal nerve fibre density was significantly lower in participants with PD (p = 0.005), PSP (p = 0.005) and MSA (p = 0.0003) compared to controls. Corneal nerve branch density was significantly lower in participants with PD (p = 0.01) and MSA (p = 0.019), but not in participants with PSP (p = 0.662), compared to controls. Corneal nerve fibre length was significantly lower in participants with PD (p = 0.002) and MSA (p = 0.001) but not in participants with PSP (p = 0.191) compared to controls. CONCLUSION CCM detects corneal nerve loss in participants with PD and MSA and to a lesser extent in PSP compared to healthy controls.
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Affiliation(s)
- Sze Hway Lim
- Department of Neurology, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK
| | - Maryam Ferdousi
- Faculty of Biology, Medicine and Health, Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - Shakya Bhattacharjee
- Department of Neurology, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.
| | - Alise Kalteniece
- Faculty of Biology, Medicine and Health, Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | | | | | - Rayaz A Malik
- Faculty of Biology, Medicine and Health, Division of Cardiovascular Sciences, University of Manchester, Manchester, UK; Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Christopher Kobylecki
- Department of Neurology, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK
| | - Monty Silverdale
- Department of Neurology, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK
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Srinivasan S, Sivaprasad S, Rajalakshmi R, Anjana RM, Malik RA, Kulothungan V, Raman R, Bhende M. Association of OCT and OCT angiography measures with the development and worsening of diabetic retinopathy in type 2 diabetes. Eye (Lond) 2023; 37:3781-3786. [PMID: 37280352 PMCID: PMC10698183 DOI: 10.1038/s41433-023-02605-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 04/30/2023] [Accepted: 05/25/2023] [Indexed: 06/08/2023] Open
Abstract
OBJECTIVE To assess if optical coherence tomography (OCT) and OCT angiography (OCTA) measures are associated with the development and worsening of diabetic retinopathy (DR) over four years. METHODS 280 participants with type 2 diabetes underwent ultra-wide field fundus photography, OCT and OCTA. OCT-derived macular thickness measures, retinal nerve fibre layer and ganglion cell-inner plexiform layer thickness and OCTA-derived foveal avascular zone area, perimeter, circularity, vessel density (VD) and macular perfusion (MP) were examined in relation to the development and worsening of DR over four years. RESULTS After four years, 206 eyes of 219 participants were eligible for analysis. 27 of the 161 eyes (16.7%) with no DR at baseline developed new DR, which was associated with a higher baseline HbA1c and longer diabetes duration. Of the 45 eyes with non-proliferative DR (NPDR) at baseline, 17 (37.7%) showed DR progression. Baseline VD (12.90 vs. 14.90 mm/mm2, p = 0.032) and MP (31.79% vs. 36.96%, p = 0.043) were significantly lower in progressors compared to non-progressors. Progression of DR was inversely related to VD ((hazard ratio [HR] = 0.825) and to MP (HR = 0.936). The area under the receiver operating characteristic curves for VD was AUC = 0.643, with 77.4% sensitivity and 41.8% specificity for a cut-off of 15.85 mm/mm2 and for MP it was AUC = 0.635, with 77.4% sensitivity and 25.5% specificity for a cut-off of 40.8%. CONCLUSIONS OCTA metrics have utility in predicting progression rather than the development of DR in individuals with type 2 diabetes.
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Affiliation(s)
| | | | | | - Ranjit Mohan Anjana
- Dr. Mohan's Diabetes Specialties Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Education City, Doha, Qatar & Central Manchester University Hospitals Foundation Trust, Manchester, UK
| | - Vaitheeswaran Kulothungan
- National Centre for Disease Informatics and Research (NCDIR) & Indian Council of Medical Research (ICMR), Bangalore, India
| | - Rajiv Raman
- Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, India
| | - Muna Bhende
- Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, India.
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Oh J, Airas L, Harrison D, Järvinen E, Livingston T, Lanker S, Malik RA, Okuda DT, Villoslada P, de Vries HE. Neuroimaging to monitor worsening of multiple sclerosis: advances supported by the grant for multiple sclerosis innovation. Front Neurol 2023; 14:1319869. [PMID: 38107636 PMCID: PMC10722910 DOI: 10.3389/fneur.2023.1319869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
Key unmet needs in multiple sclerosis (MS) include detection of early pathology, disability worsening independent of relapses, and accurate monitoring of treatment response. Collaborative approaches to address these unmet needs have been driven in part by industry-academic networks and initiatives such as the Grant for Multiple Sclerosis Innovation (GMSI) and Multiple Sclerosis Leadership and Innovation Network (MS-LINK™) programs. We review the application of recent advances, supported by the GMSI and MS-LINK™ programs, in neuroimaging technology to quantify pathology related to central pathology and disease worsening, and potential for their translation into clinical practice/trials. GMSI-supported advances in neuroimaging methods and biomarkers include developments in magnetic resonance imaging, positron emission tomography, ocular imaging, and machine learning. However, longitudinal studies are required to facilitate translation of these measures to the clinic and to justify their inclusion as endpoints in clinical trials of new therapeutics for MS. Novel neuroimaging measures and other biomarkers, combined with artificial intelligence, may enable accurate prediction and monitoring of MS worsening in the clinic, and may also be used as endpoints in clinical trials of new therapies for MS targeting relapse-independent disease pathology.
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Affiliation(s)
- Jiwon Oh
- Division of Neurology, St. Michael’s Hospital, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Laura Airas
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Turku University Hospital and University of Turku, Turku, Finland
| | - Daniel Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
- Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, MD, United States
| | - Elina Järvinen
- Neurology and Immunology, Medical Unit N&I, Merck OY (an affiliate of Merck KGaA), Espoo, Finland
| | - Terrie Livingston
- Patient Solutions and Center of Excellence Strategic Engagement, EMD Serono, Inc., Rockland, MA, United States
| | - Stefan Lanker
- Neurology & Immunology, US Medical Affairs, EMD Serono Research & Development Institute, Inc., (an affiliate of Merck KGaA), Billerica, MA, United States
| | - Rayaz A. Malik
- Weill Cornell Medicine-Qatar, Research Division, Doha, Qatar
- Institute of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
| | - Darin T. Okuda
- Department of Neurology, Neuroinnovation Program, Multiple Sclerosis and Neuroimmunology Imaging Program, Clinical Center for Multiple Sclerosis, UT Southwestern Medical Center, Dallas, TX, United States
| | - Pablo Villoslada
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Helga E. de Vries
- MS Center Amsterdam, Department of Molecular Cell Biology and Immunology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Centers (Amsterdam UMC), Location VUmc, Amsterdam, Netherlands
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Ehtewish H, Mesleh A, Ponirakis G, Lennard K, Al Hamad H, Chandran M, Parray A, Abdesselem H, Wijten P, Decock J, Alajez NM, Ramadan M, Khan S, Ayadathil R, Own A, Elsotouhy A, Albagha O, Arredouani A, Blackburn JM, Malik RA, El-Agnaf OMA. Profiling the autoantibody repertoire reveals autoantibodies associated with mild cognitive impairment and dementia. Front Neurol 2023; 14:1256745. [PMID: 38107644 PMCID: PMC10722091 DOI: 10.3389/fneur.2023.1256745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/31/2023] [Indexed: 12/19/2023] Open
Abstract
Background Dementia is a debilitating neurological disease affecting millions of people worldwide. The exact mechanisms underlying the initiation and progression of the disease remain to be fully defined. There is an increasing body of evidence for the role of immune dysregulation in the pathogenesis of dementia, where blood-borne autoimmune antibodies have been studied as potential markers associated with pathological mechanisms of dementia. Methods This study included plasma from 50 cognitively normal individuals, 55 subjects with MCI (mild cognitive impairment), and 22 subjects with dementia. Autoantibody profiling for more than 1,600 antigens was performed using a high throughput microarray platform to identify differentially expressed autoantibodies in MCI and dementia. Results The differential expression analysis identified 33 significantly altered autoantibodies in the plasma of patients with dementia compared to cognitively normal subjects, and 38 significantly altered autoantibodies in the plasma of patients with dementia compared to subjects with MCI. And 20 proteins had significantly altered autoantibody responses in MCI compared to cognitively normal individuals. Five autoantibodies were commonly dysregulated in both dementia and MCI, including anti-CAMK2A, CKS1B, ETS2, MAP4, and NUDT2. Plasma levels of anti-ODF3, E6, S100P, and ARHGDIG correlated negatively with the cognitive performance scores (MoCA) (r2 -0.56 to -0.42, value of p < 0.001). Additionally, several proteins targeted by autoantibodies dysregulated in dementia were significantly enriched in the neurotrophin signaling pathway, axon guidance, cholinergic synapse, long-term potentiation, apoptosis, glycolysis and gluconeogenesis. Conclusion We have shown multiple dysregulated autoantibodies in the plasma of subjects with MCI and dementia. The corresponding proteins for these autoantibodies are involved in neurodegenerative pathways, suggesting a potential impact of autoimmunity on the etiology of dementia and the possible benefit for future therapeutic approaches. Further investigations are warranted to validate our findings.
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Affiliation(s)
- Hanan Ehtewish
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Areej Mesleh
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Georgios Ponirakis
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation (QF), Doha, Qatar
| | - Katie Lennard
- Sengenics Corporation, Level M, Plaza Zurich, Damansara Heights, Kuala Lumpur, Malaysia
| | - Hanadi Al Hamad
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Mani Chandran
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Aijaz Parray
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Houari Abdesselem
- Proteomics Core Facility, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Patrick Wijten
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Julie Decock
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Nehad M. Alajez
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Marwan Ramadan
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Shafi Khan
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Raheem Ayadathil
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Ahmed Own
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha, Qatar
- Department of Neuroradiology, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Ahmed Elsotouhy
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha, Qatar
- Department of Clinical Radiology, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
| | - Omar Albagha
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Abdelilah Arredouani
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Jonathan M. Blackburn
- Sengenics Corporation, Level M, Plaza Zurich, Damansara Heights, Kuala Lumpur, Malaysia
- Department of Integrative Biomedical Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Rayaz A. Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation (QF), Doha, Qatar
| | - Omar M. A. El-Agnaf
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
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12
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Belkadi A, Thareja G, Khan A, Stephan N, Zaghlool S, Halama A, Ahmed AA, Mohamoud YA, Malek J, Suhre K, Malik RA. Retinal nerve fibre layer thinning and corneal nerve loss in patients with Bardet-Biedl syndrome. BMC Med Genomics 2023; 16:301. [PMID: 37996899 PMCID: PMC10666305 DOI: 10.1186/s12920-023-01739-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 11/13/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Bardet-Biedl syndrome (BBS) is an autosomal recessive, genetically heterogeneous, pleiotropic disorder caused by variants in genes involved in the function of the primary cilium. We have harnessed genomics to identify BBS and ophthalmic technologies to describe novel features of BBS. CASE PRESENTATION A patient with an unclear diagnosis of syndromic type 2 diabetes mellitus, another affected sibling and unaffected siblings and parents were sequenced using DNA extracted from saliva samples. Corneal confocal microscopy (CCM) and retinal spectral domain optical coherence tomography (SD-OCT) were used to identify novel ophthalmic features in these patients. The two affected individuals had a homozygous variant in C8orf37 (p.Trp185*). SD-OCT and CCM demonstrated a marked and patchy reduction in the retinal nerve fiber layer thickness and loss of corneal nerve fibers, respectively. CONCLUSION This report highlights the use of ophthalmic imaging to identify novel retinal and corneal abnormalities that extend the phenotype of BBS in a patient with syndromic type 2 diabetes.
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Affiliation(s)
- Aziz Belkadi
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Gaurav Thareja
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Adnan Khan
- Faculty of Health Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Nisha Stephan
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Shaza Zaghlool
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Anna Halama
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | | | - Yasmin A Mohamoud
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Joel Malek
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Karsten Suhre
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
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Malik RA. Is the 10 g monofilament fit for purpose for diagnosing DPN? BMJ Open Diabetes Res Care 2023; 11:e003773. [PMID: 37989348 PMCID: PMC10660155 DOI: 10.1136/bmjdrc-2023-003773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 11/03/2023] [Indexed: 11/23/2023] Open
Affiliation(s)
- Rayaz A Malik
- Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Division of Cardiovascular Sciences, University of Manchester-The Victoria University of Manchester Campus, Manchester, UK
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Bitirgen G, Kucuk A, Ergun MC, Satirtav G, Malik RA. Corneal nerve loss and increased Langerhans cells are associated with disease severity in patients with rheumatoid arthritis. Eye (Lond) 2023; 37:2950-2955. [PMID: 36808180 PMCID: PMC10516870 DOI: 10.1038/s41433-023-02447-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 01/05/2023] [Accepted: 02/09/2023] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND/OBJECTIVES Rheumatoid arthritis (RA) is a multisystem autoimmune disorder characterized by articular and extra-articular manifestations. Neuropathy is a poorly studied manifestation of RA. The aim of this study was to utilize the rapid non-invasive ophthalmic imaging technique of corneal confocal microscopy to identify whether there is evidence of small nerve fibre injury and immune cell activation in patients with RA. SUBJECTS/METHODS Fifty consecutive patients with RA and 35 healthy control participants were enrolled in this single-centre, cross-sectional study conducted at a university hospital. Disease activity was assessed with the 28-Joint Disease Activity Score and erythrocyte sedimentation rate (DAS28-ESR). Central corneal sensitivity was measured with a Cochet-Bonnet contact corneal esthesiometer. A laser scanning in vivo corneal confocal microscope was used to quantify corneal nerve fibre density (CNFD), nerve branch density (CNBD), nerve fibre length (CNFL), and Langerhans cell (LC) density. RESULTS Corneal sensitivity (P = 0.01), CNFD (P = 0.02), CNBD (P < 0.001), and CNFL (P < 0.001) were lower, and mature (P = 0.001) and immature LC densities (P = 0.011) were higher in patients with RA compared to control subjects. CNFD (P = 0.016) and CNFL (P = 0.028) were significantly lower in patients with moderate to high (DAS28-ESR > 3.2) compared to mild (DAS28-ESR ≤ 3.2) disease activity. Furthermore, the DAS28-ESR score correlated with CNFD (r = -0.425; P = 0.002), CNBD (ρ = -0.362; P = 0.010), CNFL (r = -0.464; P = 0.001), total LC density (ρ = 0.362; P = 0.010) and immature LC density (ρ = 0.343; P = 0.015). CONCLUSIONS This study demonstrates reduced corneal sensitivity, corneal nerve fibre loss and increased LCs which were associated with the severity of disease activity in patients with RA.
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Affiliation(s)
- Gulfidan Bitirgen
- Department of Ophthalmology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey.
| | - Adem Kucuk
- Division of Rheumatology, Department of Internal Medicine, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Mustafa Cagri Ergun
- Division of Rheumatology, Department of Internal Medicine, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Gunhal Satirtav
- Department of Ophthalmology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Research Division, Qatar Foundation, Doha, Qatar
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester and NIHR Clinical Research Facility, Manchester, UK
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Anson M, Zhao SS, Austin P, Ibarburu GH, Malik RA, Alam U. SGLT2i and GLP-1 RA therapy in type 1 diabetes and reno-vascular outcomes: a real-world study. Diabetologia 2023; 66:1869-1881. [PMID: 37505282 PMCID: PMC10473989 DOI: 10.1007/s00125-023-05975-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/06/2023] [Indexed: 07/29/2023]
Abstract
AIMS/HYPOTHESIS Insulin is the primary treatment for type 1 diabetes. However, alternative glucose-lowering therapies are used adjunctively, but importantly are off-label in type 1 diabetes. Little work has previously been undertaken to evaluate safety with long-term efficacy and cardio-renal benefits of such therapies. We sought to investigate the real-world impact of sodium-glucose cotransporter 2 inhibitor (SGLT2i) and glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapy in individuals with type 1 diabetes in relation to effect on blood glucose levels, adverse events and cardio-renal outcomes. METHODS We performed a retrospective cohort study of all patients aged 18 or over with type 1 diabetes on the TriNetX platform, a global collaborative network providing access to real-time, anonymised medical records. We included patients who had been treated with an SGLT2i or GLP-1 RA for at least 6 months and analysed the efficacy, safety and cardio-renal outcomes 5 years after initiation of therapy. RESULTS We identified 196,691 individuals with type 1 diabetes, 13% of whom were treated with adjunctive glucose-lowering therapy in addition to insulin. Included in the core analysis were 1822 patients treated with a GLP-1 RA and 992 individuals treated with an SGLT2i. Both agents provided clinically meaningful reductions in HbA1c (-2.6 mmol/mol [-0.2%] with SGLT2i and -5.4 mmol/mol [-0.5%] with GLP-1 RA). The SGLT2i treated cohort showed preservation of eGFR over a 5-year period compared with the GLP-1 RA treated cohort (+3.5 ml/min per 1.73 m2 vs -7.2 ml/min per 1.73 m2, respectively), including patients with established chronic kidney disease (CKD). The SGLT2i treated cohort experienced higher rates of diabetic ketoacidosis (DKA) (RR 2.08 [95% CI 1.05, 4.12] p=0.0309) and urinary tract infection/pyelonephritis (RR 2.27 [95% CI 1.12, 4.55] p=0.019) compared with the GLP-1 RA treated cohort. However, the SGLT2i treated cohort were less likely to develop heart failure (RR 0.44 [95% CI 0.23, 0.83] p=0.0092), CKD (RR 0.49 [95% CI 0.28, 0.86] p=0.0118) and be hospitalised for any cause (RR 0.59 [95% CI 0.46, 0.76] p≤0.0001) when compared with the GLP-1 RA treated cohort. CONCLUSIONS/INTERPRETATION Both SGLT2is and GLP-1 RAs have potential benefits as adjunctive agents in type 1 diabetes. SGLT2is provide cardio-renal benefits, despite an increase in the risk of DKA and urinary tract infection compared with GLP-1 RA therapy. Long-term evaluation of the efficacy and safety of these adjunctive therapies is required to guide their use in individuals with type 1 diabetes.
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Affiliation(s)
- Matthew Anson
- Diabetes & Endocrinology Research and Pain Research Institute, Institute of Life Course and Medical Sciences, University of Liverpool and Liverpool University Hospital NHS Foundation Trust, Liverpool, UK
| | - Sizheng S Zhao
- Centre for Epidemiology Versus Arthritis, Faculty of Biological Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | | | | | - Uazman Alam
- Diabetes & Endocrinology Research and Pain Research Institute, Institute of Life Course and Medical Sciences, University of Liverpool and Liverpool University Hospital NHS Foundation Trust, Liverpool, UK.
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, UK.
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Rashid A, Brusletto BS, Al-Obeidat F, Toufiq M, Benakatti G, Brierley J, Malik ZA, Hussain Z, Alkhazaimi H, Sharief J, Kadwa R, Sarpal A, Chaussabel D, Malik RA, Quraishi N, Khilnani P, Zaki SA, Nadeem R, Shaikh G, Al-Dubai A, Hafez W, Hussain A. A TRANSCRIPTOMIC APPRECIATION OF CHILDHOOD MENINGOCOCCAL AND POLYMICROBIAL SEPSIS FROM A PRO-INFLAMMATORY AND TRAJECTORIAL PERSPECTIVE, A ROLE FOR VASCULAR ENDOTHELIAL GROWTH FACTOR A AND B MODULATION? Shock 2023; 60:503-516. [PMID: 37553892 PMCID: PMC10581425 DOI: 10.1097/shk.0000000000002192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/12/2023] [Accepted: 07/19/2023] [Indexed: 08/10/2023]
Abstract
ABSTRACT This study investigated the temporal dynamics of childhood sepsis by analyzing gene expression changes associated with proinflammatory processes. Five datasets, including four meningococcal sepsis shock (MSS) datasets (two temporal and two longitudinal) and one polymicrobial sepsis dataset, were selected to track temporal changes in gene expression. Hierarchical clustering revealed three temporal phases: early, intermediate, and late, providing a framework for understanding sepsis progression. Principal component analysis supported the identification of gene expression trajectories. Differential gene analysis highlighted consistent upregulation of vascular endothelial growth factor A (VEGF-A) and nuclear factor κB1 (NFKB1), genes involved in inflammation, across the sepsis datasets. NFKB1 gene expression also showed temporal changes in the MSS datasets. In the postmortem dataset comparing MSS cases to controls, VEGF-A was upregulated and VEGF-B downregulated. Renal tissue exhibited higher VEGF-A expression compared with other tissues. Similar VEGF-A upregulation and VEGF-B downregulation patterns were observed in the cross-sectional MSS datasets and the polymicrobial sepsis dataset. Hexagonal plots confirmed VEGF-R (VEGF receptor)-VEGF-R2 signaling pathway enrichment in the MSS cross-sectional studies. The polymicrobial sepsis dataset also showed enrichment of the VEGF pathway in septic shock day 3 and sepsis day 3 samples compared with controls. These findings provide unique insights into the dynamic nature of sepsis from a transcriptomic perspective and suggest potential implications for biomarker development. Future research should focus on larger-scale temporal transcriptomic studies with appropriate control groups and validate the identified gene combination as a potential biomarker panel for sepsis.
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Affiliation(s)
- Asrar Rashid
- School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom
- NMC Royal Hospital, Abu Dhabi, United Arab Emirates
| | - Berit S. Brusletto
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, Norway
| | - Feras Al-Obeidat
- College of Technological Innovation at Zayed University, Abu Dhabi, United Arab Emirates
| | - Mohammed Toufiq
- The Jackson Laboratory for Genomic Medicine Farmington, Connecticut, USA
| | - Govind Benakatti
- Medanta Gururam, Delhi, India
- Yas Clinic, Abu Dhabi, United Arab Emirates
| | - Joe Brierley
- Great Ormond Street Children's Hospital, London, United Kingdom
| | - Zainab A. Malik
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates
| | - Zain Hussain
- Edinburgh Medical School, University go Edinburgh, Edinburgh, United Kingdom
| | | | | | - Raziya Kadwa
- NMC Royal Hospital, Abu Dhabi, United Arab Emirates
| | - Amrita Sarpal
- Sidra Medicine, Doha, Qatar
- Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Damien Chaussabel
- The Jackson Laboratory for Genomic Medicine Farmington, Connecticut, USA
| | - Rayaz A. Malik
- Weill Cornell Medicine-Qatar, Doha, Qatar
- Institute of Cardiovascular Science, University of Manchester, Manchester, United Kingdom
| | - Nasir Quraishi
- Centre for Spinal Studies & Surgery, Queen's Medical Centre, The University of Nottingham, Nottingham, United Kingdom
| | | | - Syed A. Zaki
- All India Institute of Medical Sciences, Hyderabad, India
| | | | - Guftar Shaikh
- Endocrinology, Royal Hospital for Children, Glasgow, United Kingdom
| | - Ahmed Al-Dubai
- School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom
| | - Wael Hafez
- NMC Royal Hospital, Abu Dhabi, United Arab Emirates
- Medical Research Division, Department of Internal Medicine, The National Research Centre, Cairo, Egypt
| | - Amir Hussain
- School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom
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18
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Bashir B, Iqbal Z, Adam S, Ferdousi M, Chick W, Hussein HA, Syed AA, Le Roux CW, Cohen RV, Malik RA, Soran H. Microvascular complications of obesity and diabetes-Role of bariatric surgery. Obes Rev 2023; 24:e13602. [PMID: 37515402 DOI: 10.1111/obr.13602] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 05/19/2023] [Accepted: 06/12/2023] [Indexed: 07/30/2023]
Abstract
Bariatric surgery in people with obesity can lead to long-term remission of type 2 diabetes mellitus (T2DM) and a reduction in the incidence of macrovascular complications. The impact of bariatric surgery on microvascular complications is less clear. In this narrative review, we sought to evaluate the effect of bariatric surgery on microvascular complications in patients with and without diabetes. The risk of developing microvascular complications is increased in people with obesity, and this is amplified in those with T2DM. The impact of metabolic surgery on microvascular complications is limited to a subgroup analysis of studies or statistical modeling to predict the glycemia-independent effect of bariatric surgery. While bariatric surgery halts the progression of retinopathy in those with minimal retinopathy, it may worsen in those with advanced retinopathy. Bariatric surgery improves proteinuria and major renal outcomes, regardless of the severity of renal impairment. Bariatric surgery in patients with obesity with or without diabetes is associated with an improvement in neuropathic symptoms and regeneration of small nerve fibers. In conclusion, bariatric surgery is associated with an improvement in microvascular complications. Further studies are needed to elucidate the underlying mechanisms for the favorable effect of bariatric surgery on microvascular outcomes.
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Affiliation(s)
- Bilal Bashir
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Centre for Diabetes, Endocrinology and Metabolism, Manchester University NHS Foundation Trust, Manchester, UK
| | - Zohaib Iqbal
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Centre for Diabetes, Endocrinology and Metabolism, Manchester University NHS Foundation Trust, Manchester, UK
| | - Safwaan Adam
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Endocrinology, The Christie NHS Foundation Trust, Manchester, UK
| | - Maryam Ferdousi
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - William Chick
- Lister Hospital, East and North Hertfordshire NHS Trust, Stevenage, UK
| | | | - Akheel A Syed
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Endocrinology, Diabetes and Obesity Medicine, Salford Royal Hospital NHS Foundation Trust, Salford, UK
| | - Carel W Le Roux
- Diabetes Complications Research Centre, School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Ricardo V Cohen
- The Centre for Obesity and Diabetes, Oswaldo Cruz German Hospital, São Paulo, Brazil
| | - Rayaz A Malik
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Handrean Soran
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Centre for Diabetes, Endocrinology and Metabolism, Manchester University NHS Foundation Trust, Manchester, UK
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Marchi M, Salvi E, Andelic M, Mehmeti E, D'Amato I, Cazzato D, Chiappori F, Lombardi R, Cartelli D, Devigili G, Dalla Bella E, Gerrits M, Almomani R, Malik RA, Ślęczkowska M, Mazzeo A, Gentile L, Dib-Hajj S, Waxman SG, Faber CG, Vecchio E, de Tommaso M, Lauria G. TRPA1 rare variants in chronic neuropathic and nociplastic pain patients. Pain 2023; 164:2048-2059. [PMID: 37079850 PMCID: PMC10443199 DOI: 10.1097/j.pain.0000000000002905] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/15/2022] [Accepted: 12/28/2022] [Indexed: 04/22/2023]
Abstract
Supplemental Digital Content is Available in the Text. TRPA1 gene is significantly enriched of rare variants in neuropathic pain and fibromyalgia patients, with itch or cold-induced pain as the most common features, opening new treatment opportunities. Missing aspects of the heritability of chronic neuropathic pain, as a complex adult-onset trait, may be hidden within rare variants with low effect on disease risk, unlikely to be resolved by a single-variant approach. To identify new risk genes, we performed a next-generation sequencing of 107 pain genes and collapsed the rare variants through gene-wise aggregation analysis. The optimal unified sequence kernel association test was applied to 169 patients with painful neuropathy, 223 patients with nociplastic pain (82 diagnosed with chronic widespread pain and 141 with fibromyalgia), and 216 healthy controls. Frequency and features of variants in TRPA1 , which was the most significant gene, were further validated in 2 independent cohorts of 140 patients with chronic pain (90 with painful neuropathy and 50 with chronic widespread pain) and 34 with painless neuropathy. The effect of aminoacidic changes were modeled in silico according to physicochemical characteristics. TRPA1 was significantly enriched of rare variants which significantly discriminated chronic pain patients from healthy controls after Bonferroni correction (P = 6.7 × 10−4, ρ = 1), giving a risk of 4.8-fold higher based on the simple burden test (P = 0.0015, OR = 4.8). Among the 32 patients harboring TRPA1 variants, 24 (75%) were diagnosed with nociplastic pain, either fibromyalgia (12; 37.5%) or chronic widespread pain (12; 37.5%), whereas 8 (25%) with painful neuropathy. Irrespective of the clinical diagnosis, 12 patients (38%) complained of itch and 10 (31.3%) of cold-induced or cold-accentuated pain, mostly episodic. Our study widens the spectrum of channelopathy-related chronic pain disorders and contributes to bridging the gap between phenotype and targeted therapies based on patients' molecular profile. 1_tzjjvsic Kaltura
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Affiliation(s)
- Margherita Marchi
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Erika Salvi
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Mirna Andelic
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- School of Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Elkadia Mehmeti
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Ilaria D'Amato
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Daniele Cazzato
- Clinical Neurophysiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Federica Chiappori
- Consiglio Nazionale delle Ricerche, Istituto di Tecnologie Biomediche (CNR-ITB), Segrate (Milan), Italy
| | - Raffaella Lombardi
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Daniele Cartelli
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Grazia Devigili
- Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Eleonora Dalla Bella
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Monique Gerrits
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Rowida Almomani
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Toxicogenomics, Maastricht University, Maastricht, the Netherlands
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan
| | - Rayaz A. Malik
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/WellcomeTrust Clinical Research Facility, Manchester, United Kingdom
- Research Division, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Milena Ślęczkowska
- School of Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Toxicogenomics, Maastricht University, Maastricht, the Netherlands
| | - Anna Mazzeo
- Unit of Neurology and Neuromuscular Diseases, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Luca Gentile
- Unit of Neurology and Neuromuscular Diseases, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Sulayman Dib-Hajj
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Stephen G. Waxman
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Catharina G. Faber
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Eleonora Vecchio
- Neurophysiopathology Unit, DiBrain Department, Aldo Moro University, Bari, Italy
| | - Marina de Tommaso
- Neurophysiopathology Unit, DiBrain Department, Aldo Moro University, Bari, Italy
| | - Giuseppe Lauria
- Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
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21
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Lim JZM, Burgess J, Ooi C, Ferdousi M, Azmi S, Kalteniece A, Anson M, Cuthbertson DJ, Petropoulos IN, Malik RA, Wilding JPH, Alam U. Corneal Confocal Microscopy Predicts Cardiovascular and Cerebrovascular Events and Demonstrates Greater Peripheral Neuropathy in Patients with Type 1 Diabetes and Foot Ulcers. Diagnostics (Basel) 2023; 13:2793. [PMID: 37685330 PMCID: PMC10486928 DOI: 10.3390/diagnostics13172793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
OBJECTIVE In this study, we evaluate small and large nerve fibre pathology in relation to diabetic foot ulceration (DFU) and incident cardiovascular and cerebrovascular events in type 1 diabetes (T1D). METHODS A prospective observational study was conducted on people with T1D without diabetic peripheral neuropathy (DPN) (n = 25), T1D with DPN (n = 28), T1D with DFU (n = 25) and 32 healthy volunteers. ROC analysis of parameters was conducted to diagnose DPN and DFU, and multivariate Cox regression analysis was performed to evaluate the predictive ability of corneal nerves for cardiac and cerebrovascular events over 3 years. RESULTS Corneal nerve fibre length (CNFL), fibre density (CNFD) and branch density (CNBD) were lower in T1D-DPN and T1D-DFU vs. T1D (all p < 0.001). In ROC analysis, CNFD (sensitivity 88%, specificity 87%; AUC 0.93; p < 0.001; optimal cut-off 7.35 no/mm2) and CNFL (sensitivity 76%, specificity 77%; AUC 0.90; p < 0.001; optimal cut-off 7.01 mm/mm2) had good ability to differentiate T1D with and without DFU. Incident cardiovascular events (p < 0.001) and cerebrovascular events (p < 0.001) were significantly higher in T1D-DPN and T1D-DFU. Corneal nerve loss, specifically CNFD predicted incident cardiovascular (HR 1.67, 95% CI 1.12 to 2.50, p = 0.01) and cerebrovascular (HR 1.55, 95% CI 1.06 to 2.26, p = 0.02) events. CONCLUSIONS Our study provides threshold values for corneal nerve fibre metrics for neuropathic foot at risk of DFU and further demonstrates that lower CNFD predicts incident cardiovascular and cerebrovascular events in T1D.
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Affiliation(s)
- Jonathan Z M Lim
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Diabetes, Endocrinology, and Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
- Department of Medicine, Clinical Sciences Centre, Aintree University Hospital, Longmoor Lane, Liverpool L9 7AL, UK
| | - Jamie Burgess
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Department of Medicine, Clinical Sciences Centre, Aintree University Hospital, Longmoor Lane, Liverpool L9 7AL, UK
| | - Cheong Ooi
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Department of Medicine, Clinical Sciences Centre, Aintree University Hospital, Longmoor Lane, Liverpool L9 7AL, UK
| | - Maryam Ferdousi
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester M13 9WL, UK
| | - Shazli Azmi
- Diabetes, Endocrinology, and Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester M13 9WL, UK
| | - Alise Kalteniece
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester M13 9WL, UK
| | - Matthew Anson
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Department of Medicine, Clinical Sciences Centre, Aintree University Hospital, Longmoor Lane, Liverpool L9 7AL, UK
| | - Daniel J Cuthbertson
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Department of Medicine, Clinical Sciences Centre, Aintree University Hospital, Longmoor Lane, Liverpool L9 7AL, UK
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool University NHS Foundation Trust, Liverpool L69 3BX, UK
| | | | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha P.O. Box 24144, Qatar
| | - John P H Wilding
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Department of Medicine, Clinical Sciences Centre, Aintree University Hospital, Longmoor Lane, Liverpool L9 7AL, UK
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool University NHS Foundation Trust, Liverpool L69 3BX, UK
| | - Uazman Alam
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool University NHS Foundation Trust, Liverpool L69 3BX, UK
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent ST4 2DF, UK
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22
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Khan A, Kamal M, Alhothi A, Gad H, Adan MA, Ponirakis G, Petropoulos IN, Malik RA. Corneal confocal microscopy demonstrates sensory nerve loss in children with autism spectrum disorder. PLoS One 2023; 18:e0288399. [PMID: 37437060 DOI: 10.1371/journal.pone.0288399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 06/24/2023] [Indexed: 07/14/2023] Open
Abstract
Autism spectrum disorder (ASD) is a developmental disorder characterized by difficulty in communication and interaction with others. Postmortem studies have shown cerebral neuronal loss and neuroimaging studies show neuronal loss in the amygdala, cerebellum and inter-hemispheric regions of the brain. Recent studies have shown altered tactile discrimination and allodynia on the face, mouth, hands and feet and intraepidermal nerve fiber loss in the legs of subjects with ASD. Fifteen children with ASD (age: 12.00 ± 3.55 years) and twenty age-matched healthy controls (age: 12.83 ± 1.91 years) underwent corneal confocal microscopy (CCM) and quantification of corneal nerve fiber morphology. Corneal nerve fibre density (fibers/mm2) (28.61 ± 5.74 vs. 40.42 ± 8.95, p = 0.000), corneal nerve fibre length (mm/mm2) (16.61 ± 3.26 vs. 21.44 ± 4.44, p = 0.001), corneal nerve branch density (branches/mm2) (43.68 ± 22.71 vs. 62.39 ± 21.58, p = 0.018) and corneal nerve fibre tortuosity (0.037 ± 0.023 vs. 0.074 ± 0.017, p = 0.000) were significantly lower and inferior whorl length (mm/mm2) (21.06 ± 6.12 vs. 23.43 ± 3.95, p = 0.255) was comparable in children with ASD compared to controls. CCM identifies central corneal nerve fiber loss in children with ASD. These findings, urge the need for larger longitudinal studies to determine the utility of CCM as an imaging biomarker for neuronal loss in different subtypes of ASD and in relation to disease progression.
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Affiliation(s)
- Adnan Khan
- Research Division, Weill Cornell Medicine-Qatar, Doha, Qatar
- Faculty of Health Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Madeeha Kamal
- Department of Pediatrics, Sidra Medicine, Doha, Qatar
| | - Abdula Alhothi
- Department of Pediatrics, Hamad General Hospital, Doha, Qatar
| | - Hoda Gad
- Research Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Marian A Adan
- Department of Pediatrics, Hamad General Hospital, Doha, Qatar
| | | | | | - Rayaz A Malik
- Research Division, Weill Cornell Medicine-Qatar, Doha, Qatar
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23
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Guldiken YC, Malik A, Petropoulos IN, Gad H, Elgassim E, Salivon I, Ponirakis G, Alam U, Malik RA. Where Art Thou O treatment for diabetic neuropathy: the sequel. Expert Rev Neurother 2023; 23:845-851. [PMID: 37602687 DOI: 10.1080/14737175.2023.2247163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/08/2023] [Indexed: 08/22/2023]
Abstract
INTRODUCTION Having lived through a pandemic and witnessed how regulatory approval processes can evolve rapidly; it is lamentable how we continue to rely on symptoms/signs and nerve conduction as primary endpoints for clinical trials in DPN. AREAS COVERED Small (Aδ and C) fibers are key to the genesis of pain, regulate skin blood flow, and play an integral role in the development of diabetic foot ulceration but continue to be ignored. This article challenges the rationale for the FDA insisting on symptoms/signs and nerve conduction as primary endpoints for clinical trials in DPN. EXPERT OPINION Quantitative sensory testing, intraepidermal nerve fiber density, and especially corneal confocal microscopy remain an after-thought, demoted at best to exploratory secondary endpoints in clinical trials of diabetic neuropathy. If pharma are to be given a fighting chance to secure approval for a new therapy for diabetic neuropathy, the FDA needs to reassess the evidence rather than rely on 'opinion' for the most suitable endpoint(s) in clinical trials of diabetic neuropathy.
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Affiliation(s)
- Yigit Can Guldiken
- Department of Neurology, Kocaeli University Research and Application Hospital, İzmit/Kocaeli, Turkey
| | - Ayesha Malik
- Barts and The London School of Medicine and Dentistry - Medicine, London, UK
| | | | - Hoda Gad
- Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
| | - Einas Elgassim
- Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
| | - Iuliia Salivon
- Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
| | | | - Uazman Alam
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar
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Ritzel R, Ghosh S, Emral R, Malek R, Zeng L, Mabunay MA, Landgraf W, Guyot P, Serafini P, Pushkarna D, Malik RA. Comparative efficacy and safety of Gla-300 versus IDegAsp in insulin-naïve people with type 2 diabetes mellitus uncontrolled on oral anti-diabetics. Diabetes Obes Metab 2023. [PMID: 37312665 DOI: 10.1111/dom.15121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/28/2023] [Accepted: 05/01/2023] [Indexed: 06/15/2023]
Abstract
AIM To compare the efficacy and safety of insulin glargine-300 once daily (Gla-300) with insulin degludec/aspart (IDegAsp) once daily in patients with type 2 diabetes (T2D) inadequately controlled on oral anti-diabetic drugs (OADs). MATERIALS AND METHODS A systematic literature review of randomized controlled trials was followed by an indirect treatment comparison of studies involving insulin naïve adults, inadequately controlled [glycated haemoglobin (HbA1c) ≥7.0%] on OADs, who received Gla-300 or IDegAsp once daily. Outcomes of interest were change in HbA1c, blood glucose, weight and insulin dose, as well as incidence and event rate of hypoglycaemia and other adverse events. RESULTS Four trials with broadly similar baseline patient characteristics were included in the meta-analyses and indirect treatment comparison. At 24-28 weeks, the indirect comparison of Gla-300 to IDegAsp once daily estimated no statistically significant difference for change in HbA1c (%) from baseline [mean difference of 0.10% (95% CI: -0.20, 0.39; p = .52)]; a statistically significant mean difference of -1.31 kg (95% CI: -1.97, -0.65; p < .05) for change in body weight from baseline; statistically significant odds ratios of 0.62 (95% CI: 0.41, 0.93; p < .05) for incidence of any hypoglycaemia; and 0.47 (95% CI: 0.25, 0.87; p < .05) for incidence of anytime confirmed hypoglycaemia (plasma glucose <3.0-3.1 mmol/L). No significant differences were observed for insulin dose and adverse events. CONCLUSION In insulin-naïve patients with T2D inadequately controlled on OADs, commencing Gla-300 shows a comparable HbA1c reduction, but with significantly less weight gain and a lower incidence of any and confirmed hypoglycaemia compared with commencing IDegAsp.
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Affiliation(s)
- Robert Ritzel
- Division of Endocrinology, Diabetes and Angiology, München Klinik Schwabing, Munich, Germany
| | - Sujoy Ghosh
- Department of Endocrinology, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Rifat Emral
- Faculty of Medicine, Department of Endocrinology and Metabolic Diseases, Ankara University, Ankara, Turkey
| | - Rachid Malek
- Department of Internal Medicine, Setif University Hospital, Sétif, Algeria
| | - Longyi Zeng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital-Sun Yat-sen University, Guangzhou, China
| | | | | | | | - Paul Serafini
- Evidinno Outcomes Research Inc., Operations, Vancouver, British Columbia, Canada
| | - Divya Pushkarna
- Evidinno Outcomes Research Inc., Operations, Vancouver, British Columbia, Canada
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine, Doha, Qatar
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25
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Alhaddad AY, Aly H, Gad H, Elgassim E, Mohammed I, Baagar K, Al-Ali A, Sadasivuni KK, Cabibihan JJ, Malik RA. Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions. Sensors (Basel) 2023; 23:s23115003. [PMID: 37299733 DOI: 10.3390/s23115003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/09/2023] [Accepted: 05/16/2023] [Indexed: 06/12/2023]
Abstract
Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace finger prick testing, but still require sensor insertion. Physiological variables, such as heart rate and pulse pressure, change with blood glucose, especially during hypoglycemia, and could be used to predict hypoglycemia. To validate this approach, clinical studies that contemporaneously acquire physiological and continuous glucose variables are required. In this work, we provide insights from a clinical study undertaken to study the relationship between physiological variables obtained from a number of wearables and glucose levels. The clinical study included three screening tests to assess neuropathy and acquired data using wearable devices from 60 participants for four days. We highlight the challenges and provide recommendations to mitigate issues that may impact the validity of data capture to enable a valid interpretation of the outcomes.
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Affiliation(s)
- Ahmad Yaser Alhaddad
- Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar
| | - Hussein Aly
- KINDI Center for Computing Research, Qatar University, Doha 2713, Qatar
| | - Hoda Gad
- Weill Cornell Medicine-Qatar, Doha 24144, Qatar
| | | | - Ibrahim Mohammed
- Weill Cornell Medicine-Qatar, Doha 24144, Qatar
- Department of Internal Medicine, Albany Medical Center Hospital, Albany, NY 12208, USA
| | | | - Abdulaziz Al-Ali
- KINDI Center for Computing Research, Qatar University, Doha 2713, Qatar
| | | | - John-John Cabibihan
- Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar
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26
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Gad H, Elgassim E, Mohammed I, Yaser Alhaddad A, Ahmed Hussein Zaky Aly H, Cabibihan JJ, Al-Ali A, Kumar Sadasivuni K, Petropoulos IN, Ponirakis G, Abuhelaiqa W, Jayyousi A, AlMohanadi D, Baagar K, Malik RA. Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes. Diabetes Res Clin Pract 2023; 200:110670. [PMID: 37169307 DOI: 10.1016/j.diabres.2023.110670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/27/2023] [Accepted: 04/11/2023] [Indexed: 05/13/2023]
Abstract
AIM Cardiac autonomic neuropathy (CAN) has been suggested to be associated with hypoglycemia and impaired hypoglycemia unawareness. We have assessed the relationship between CAN and extensive measures of glucose variability (GV) in patients with type 1 and type 2 diabetes. METHODS Participants with diabetes underwent continuous glucose monitoring (CGM) to obtain measures of GV and the extent of hyperglycemia and hypoglycemia and cardiovascular autonomic reflex testing. RESULTS Of the 40 participants (20 T1DM and 20 T2DM) (aged 40.70±13.73 years, diabetes duration 14.43±7.35 years, HbA1c 8.85±1.70%), 23 (57.5%) had CAN. Despite a lower coefficient of variation (CV) (31.26±11.87 vs. 40.33±11.03, P=0.018), they had a higher CONGA (8.42±2.58 vs. 6.68±1.88, P=0.024) with a lower median LBGI (1.60 (range: 0.20-3.50) vs. 4.90 (range: 3.20-7.40), P=0.010) and percentage median time spent in hypoglycemia (4 (range:4-13) vs. 1 (range:0-5), P=0.008), compared to those without CAN. The percentage GRADEEuglycemia (3.30±2.78 vs. 5.69±3.09, P=0.017) and GRADEHypoglycemia (0.3 (range: 0 - 3.80) vs. 1.8 (range: 0.9-6.5), P=0.036) were significantly lower, while the percentage median GRADEHyperglycemia (95.45 (range:93-98) vs. 91.6 (82.8-95.1), P=0.013) was significantly higher in participants with CAN compared to those without CAN. CONCLUSION CAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.
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Affiliation(s)
- Hoda Gad
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Einas Elgassim
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Ibrahim Mohammed
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar; Internal Medicine, Albany Medical Center Hospital, Albany, New York, USA
| | - Ahmad Yaser Alhaddad
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | | | - John-John Cabibihan
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | - Abdulaziz Al-Ali
- KINDI Center for computing research, Qatar University, Doha, Qatar
| | | | | | | | | | - Amin Jayyousi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Dabia AlMohanadi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Khaled Baagar
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar; Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK.
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Almomani R, Sopacua M, Marchi M, Ślęczkowska M, Lindsey P, de Greef BTA, Hoeijmakers JGJ, Salvi E, Merkies ISJ, Ferdousi M, Malik RA, Ziegler D, Derks KWJ, Boenhof G, Martinelli-Boneschi F, Cazzato D, Lombardi R, Dib-Hajj S, Waxman SG, Smeets HJM, Gerrits MM, Faber CG, Lauria G. Genetic Profiling of Sodium Channels in Diabetic Painful and Painless and Idiopathic Painful and Painless Neuropathies. Int J Mol Sci 2023; 24:ijms24098278. [PMID: 37175987 PMCID: PMC10179245 DOI: 10.3390/ijms24098278] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/15/2023] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
Neuropathic pain is a frequent feature of diabetic peripheral neuropathy (DPN) and small fiber neuropathy (SFN). Resolving the genetic architecture of these painful neuropathies will lead to better disease management strategies, counselling and intervention. Our aims were to profile ten sodium channel genes (SCG) expressed in a nociceptive pathway in painful and painless DPN and painful and painless SFN patients, and to provide a perspective for clinicians who assess patients with painful peripheral neuropathy. Between June 2014 and September 2016, 1125 patients with painful-DPN (n = 237), painless-DPN (n = 309), painful-SFN (n = 547) and painless-SFN (n = 32), recruited in four different centers, were analyzed for SCN3A, SCN7A-SCN11A and SCN1B-SCN4B variants by single molecule Molecular inversion probes-Next Generation Sequence. Patients were grouped based on phenotype and the presence of SCG variants. Screening of SCN3A, SCN7A-SCN11A, and SCN1B-SCN4B revealed 125 different (potential) pathogenic variants in 194 patients (17.2%, n = 194/1125). A potential pathogenic variant was present in 18.1% (n = 142/784) of painful neuropathy patients vs. 15.2% (n = 52/341) of painless neuropathy patients (17.3% (n = 41/237) for painful-DPN patients, 14.9% (n = 46/309) for painless-DPN patients, 18.5% (n = 101/547) for painful-SFN patients, and 18.8% (n = 6/32) for painless-SFN patients). Of the variants detected, 70% were in SCN7A, SCN9A, SCN10A and SCN11A. The frequency of SCN9A and SCN11A variants was the highest in painful-SFN patients, SCN7A variants in painful-DPN patients, and SCN10A variants in painless-DPN patients. Our findings suggest that rare SCG genetic variants may contribute to the development of painful neuropathy. Genetic profiling and SCG variant identification should aid in a better understanding of the genetic variability in patients with painful and painless neuropathy, and may lead to better risk stratification and the development of more targeted and personalized pain treatments.
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Affiliation(s)
- Rowida Almomani
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan
- Clinical Genomics Unit, Department of Genetics and Cell Biology, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Maurice Sopacua
- Department of Neurology, School of Mental Health and Neuroscience, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Margherita Marchi
- Neuroalgology Unit, IRCCS Foundation "Carlo Besta" Neurological Institute, 20133 Milan, Italy
| | - Milena Ślęczkowska
- Clinical Genomics Unit, Department of Genetics and Cell Biology, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Toxicogenomics, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Patrick Lindsey
- Clinical Genomics Unit, Department of Genetics and Cell Biology, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Toxicogenomics, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Bianca T A de Greef
- Department of Neurology, School of Mental Health and Neuroscience, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Janneke G J Hoeijmakers
- Department of Neurology, School of Mental Health and Neuroscience, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Erika Salvi
- Neuroalgology Unit, IRCCS Foundation "Carlo Besta" Neurological Institute, 20133 Milan, Italy
| | - Ingemar S J Merkies
- Department of Neurology, School of Mental Health and Neuroscience, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
- Department of Neurology, Curaçao Medical Center, 4365+37Q, J. H. J. Hamelbergweg, Willemstad, Curacao
| | - Maryam Ferdousi
- Institute of Cardiovascular Sciences, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9P, UK
| | - Rayaz A Malik
- Institute of Cardiovascular Sciences, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9P, UK
- Weill Cornell Medicine-Qatar, Doha P.O. Box 24144, Qatar
| | - Dan Ziegler
- German Diabetes Centre, 40225 Düsseldorf, Germany
| | - Kasper W J Derks
- Department of Clinical Genetics, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Gidon Boenhof
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, 40225 Düsseldorf, Germany
| | - Filippo Martinelli-Boneschi
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Daniele Cazzato
- Neuroalgology Unit, IRCCS Foundation "Carlo Besta" Neurological Institute, 20133 Milan, Italy
| | - Raffaella Lombardi
- Neuroalgology Unit, IRCCS Foundation "Carlo Besta" Neurological Institute, 20133 Milan, Italy
| | - Sulayman Dib-Hajj
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Stephen G Waxman
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Hubert J M Smeets
- Clinical Genomics Unit, Department of Genetics and Cell Biology, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Toxicogenomics, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Monique M Gerrits
- Department of Clinical Genetics, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Catharina G Faber
- Department of Neurology, School of Mental Health and Neuroscience, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Giuseppe Lauria
- Neuroalgology Unit, IRCCS Foundation "Carlo Besta" Neurological Institute, 20133 Milan, Italy
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, 20157 Milan, Italy
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28
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Ehtewish H, Mesleh A, Ponirakis G, De la Fuente A, Parray A, Bensmail I, Abdesselem H, Ramadan M, Khan S, Chandran M, Ayadathil R, Elsotouhy A, Own A, Al Hamad H, Abdelalim EM, Decock J, Alajez NM, Albagha O, Thornalley PJ, Arredouani A, Malik RA, El-Agnaf OMA. Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia. Int J Mol Sci 2023; 24:ijms24098117. [PMID: 37175824 PMCID: PMC10179172 DOI: 10.3390/ijms24098117] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 05/15/2023] Open
Abstract
Dementia is a progressive and debilitating neurological disease that affects millions of people worldwide. Identifying the minimally invasive biomarkers associated with dementia that could provide insights into the disease pathogenesis, improve early diagnosis, and facilitate the development of effective treatments is pressing. Proteomic studies have emerged as a promising approach for identifying the protein biomarkers associated with dementia. This pilot study aimed to investigate the plasma proteome profile and identify a panel of various protein biomarkers for dementia. We used a high-throughput proximity extension immunoassay to quantify 1090 proteins in 122 participants (22 with dementia, 64 with mild cognitive impairment (MCI), and 36 controls with normal cognitive function). Limma-based differential expression analysis reported the dysregulation of 61 proteins in the plasma of those with dementia compared with controls, and machine learning algorithms identified 17 stable diagnostic biomarkers that differentiated individuals with AUC = 0.98 ± 0.02. There was also the dysregulation of 153 plasma proteins in individuals with dementia compared with those with MCI, and machine learning algorithms identified 8 biomarkers that classified dementia from MCI with an AUC of 0.87 ± 0.07. Moreover, multiple proteins selected in both diagnostic panels such as NEFL, IL17D, WNT9A, and PGF were negatively correlated with cognitive performance, with a correlation coefficient (r2) ≤ -0.47. Gene Ontology (GO) and pathway analysis of dementia-associated proteins implicated immune response, vascular injury, and extracellular matrix organization pathways in dementia pathogenesis. In conclusion, the combination of high-throughput proteomics and machine learning enabled us to identify a blood-based protein signature capable of potentially differentiating dementia from MCI and cognitively normal controls. Further research is required to validate these biomarkers and investigate the potential underlying mechanisms for the development of dementia.
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Affiliation(s)
- Hanan Ehtewish
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Areej Mesleh
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Georgios Ponirakis
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation (QF), Doha P.O. Box 24144, Qatar
| | - Alberto De la Fuente
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Aijaz Parray
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Ilham Bensmail
- Proteomics Core Facility, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Houari Abdesselem
- Proteomics Core Facility, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Marwan Ramadan
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Shafi Khan
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Mani Chandran
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Raheem Ayadathil
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Ahmed Elsotouhy
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
- Department of Clinical Radiology, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha P.O. Box 24144, Qatar
| | - Ahmed Own
- The Neuroscience Institute, Academic Health System, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
- Neuroradiology Department, Hamad General Hospital, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar
| | - Hanadi Al Hamad
- Geriatric and Memory Clinic, Rumailah Hospital, Hamad Medical Corporation (HMC), Doha P.O. Box 3050, Qatar
| | - Essam M Abdelalim
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Julie Decock
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Nehad M Alajez
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Omar Albagha
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Paul J Thornalley
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Abdelilah Arredouani
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation (QF), Doha P.O. Box 24144, Qatar
| | - Omar M A El-Agnaf
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha P.O. Box 34110, Qatar
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Guldiken YC, Petropoulos IN, Malik A, Malik RA, Yüksel R, Budak F, Selekler HM. Corneal confocal microscopy identifies corneal nerve fiber loss in patients with migraine. Cephalalgia 2023; 43:3331024231170810. [PMID: 37177828 DOI: 10.1177/03331024231170810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
BACKGROUND/HYPOTHESIS Migraine affects >1 billion people but its pathophysiology remains poorly understood. Alterations in the trigeminovascular system play an important role. We have compared corneal nerve morphology in patients with migraine to healthy controls. METHODS Sixty patients with episodic (n = 32) or chronic (n = 28) migraine and 20 age-matched healthy control subjects were studied cross-sectionally. Their migraine characteristics and signs and symptoms of dry eyes were assessed. Manual and automated quantification of corneal nerves was undertaken by corneal confocal microscopy. RESULTS In patients with migraine compared to controls, manual corneal nerve fiber density (P < 0.001), branch density (P = 0.015) and length (P < 0.001); and automated corneal nerve fiber density (P < 0.001), branch density (P < 0.001), length (P < 0.001), total branch density (P < 0.001), nerve fiber area (P < 0.001), nerve fiber width (P = 0.045) and fractal dimension (P < 0.001) were lower. Automated corneal nerve fiber density was higher in patients with episodic migraine and aura (P = 0.010); and fractal dimension (P = 0.029) was lower in patients with more headache days in the last three months. Automated corneal nerve fiber density predicted a significant amount of the observed variance in pain intensity (adjusted r2 = 0.14, partial r = -0.37, P = 0.004) in patients with migraine. CONCLUSIONS Corneal confocal microscopy reveals corneal nerve loss in patients with migraine. It may serve as an objective imaging biomarker of neurodegeneration in migraine.
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Affiliation(s)
- Yigit Can Guldiken
- Department of Neurology, Kocaeli University Research and Application Hospital, İzmit/Kocaeli, Turkey
| | | | - Ayesha Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
| | - Refref Yüksel
- Department of Ophthalmology, Kocaeli University Research and Application Hospital, İzmit/Kocaeli, Turkey
| | - Faik Budak
- Department of Neurology, Kocaeli University Research and Application Hospital, İzmit/Kocaeli, Turkey
| | - Hamit Macit Selekler
- Department of Neurology, Kocaeli University Research and Application Hospital, İzmit/Kocaeli, Turkey
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30
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Jump CM, Mati W, Maley A, Taylor R, Gratrix K, Blundell C, Lane S, Solanki N, Khan M, Choudhry M, Shetty V, Malik RA, Charalambous CP. A randomized clinical trial of glenohumeral joint steroid injection versus suprascapular nerve block in patients with frozen shoulder: a protocol for the Therapeutic Injections For Frozen Shoulder (TIFFS) study. Bone Jt Open 2023; 4:205-209. [PMID: 37051821 PMCID: PMC10032224 DOI: 10.1302/2633-1462.43.bjo-2022-0066.r1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/14/2023] Open
Abstract
Frozen shoulder is a common, painful condition that results in impairment of function. Corticosteroid injections are commonly used for frozen shoulder and can be given as glenohumeral joint (GHJ) injection or suprascapular nerve block (SSNB). Both injection types have been shown to significantly improve shoulder pain and range of motion. It is not currently known which is superior in terms of relieving patients' symptoms. This is the protocol for a randomized clinical trial to investigate the clinical effectiveness of corticosteroid injection given as either a GHJ injection or SSNB. The Therapeutic Injections For Frozen Shoulder (TIFFS) study is a single centre, parallel, two-arm, randomized clinical trial. Participants will be allocated on a 1:1 basis to either a GHJ corticosteroid injection or SSNB. Participants in both trial arms will then receive physiotherapy as normal for frozen shoulder. The primary analysis will compare the Oxford Shoulder Score (OSS) at three months after injection. Secondary outcomes include OSS at six and 12 months, range of shoulder movement at three months, and Numeric Pain Rating Scale, abbreviated Disabilities of Arm, Shoulder and Hand score, and EuroQol five-level five-dimension health index at three months, six months, and one year after injection. A minimum of 40 patients will be recruited to obtain 80% power to detect a minimally important difference of ten points on the OSS between the groups at three months after injection. The study is registered under ClinicalTrials.gov with the identifier NCT04965376. The results of this trial will demonstrate if there is a difference in shoulder pain and function after GHJ injection or SSNB in patients with frozen shoulder. This will help provide effective treatment to patients with frozen shoulder.
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Affiliation(s)
- Christopher M. Jump
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | - Wael Mati
- Department of Radiology, Blackpool Victoria Hospital, Blackpool, UK
| | - Alex Maley
- Department of Research and Development, Clinical Research Centre, Blackpool Victoria Hospital, Blackpool, UK
| | - Rebecca Taylor
- Department of Research and Development, Clinical Research Centre, Blackpool Victoria Hospital, Blackpool, UK
| | - Karen Gratrix
- Department of Research and Development, Clinical Research Centre, Blackpool Victoria Hospital, Blackpool, UK
| | - Clare Blundell
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | - Suzanne Lane
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | - Nilesh Solanki
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | - Maqsood Khan
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | - Muhammad Choudhry
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | - Vishwanath Shetty
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
| | | | - Charalambos P. Charalambous
- Department of Trauma & Orthopaedics, Blackpool Victoria Hospital, Blackpool, UK
- School of Medicine, University of Central Lancashire, Preston, UK
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Verma S, Alamuddin N, Alawadi F, Alkandari H, Al Mahmeed W, Assaad-Khalil SH, Haddad J, Husemoen LLN, Lombard L, Malik RA, Mashaki Ceyhan E, Sabbour H, Tombak G, Yadav G, Salek S. Prevalence of Diabetes and Cardiovascular Risk in the Middle East and Africa: Primary Results of the PACT-MEA Study. Circulation 2023; 147:1251-1255. [PMID: 36877670 PMCID: PMC10101130 DOI: 10.1161/circulationaha.123.064345] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Affiliation(s)
- Subodh Verma
- St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Naji Alamuddin
- Royal College of Surgeons in Ireland Bahrain, King Hamad University Hospital, Bahrain
| | - Fatheya Alawadi
- Endocrine Department, Dubai Hospital, Dubai Health Authority (DHA), United Arab Emirates
| | - Hessa Alkandari
- Department of Pediatrics, Farwaniya Hospital; Department of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Wael Al Mahmeed
- Heart, Vascular & Thoracic Institute at Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Samir H Assaad-Khalil
- Unit of Diabetes, Lipidology & Metabolism; Department of Internal Medicine, Alexandria Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Jihad Haddad
- Endocrinology Section, Bader Medical Complex, Amman, Jordan, JORDAN
| | | | - Landman Lombard
- Principal Investigator, Cape Town Medical Research Centre, Cape Town South Africa
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | | | - Hani Sabbour
- Heart, Vascular & Thoracic Institute at Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | | | - Gourav Yadav
- Novo Nordisk Saglik Urunleri Tic. Ltd. Sti. Istanbul, Turkey
| | - Sam Salek
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, and Institute of Medicines Development, United Kingdom
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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. Int J Environ Res 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Kirthi V, Reed KI, Alattar K, Zuckerman BP, Bunce C, Nderitu P, Alam U, Clarke B, Hau S, Al-Shibani F, Petropoulos IN, Malik RA, Pissas T, Bergeles C, Vas P, Hopkins D, Jackson TL. Multimodal testing reveals subclinical neurovascular dysfunction in prediabetes, challenging the diagnostic threshold of diabetes. Diabet Med 2023; 40:e14952. [PMID: 36054221 PMCID: PMC10087038 DOI: 10.1111/dme.14952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 11/28/2022]
Abstract
AIM To explore if novel non-invasive diagnostic technologies identify early small nerve fibre and retinal neurovascular pathology in prediabetes. METHODS Participants with normoglycaemia, prediabetes or type 2 diabetes underwent an exploratory cross-sectional analysis with optical coherence tomography angiography (OCT-A), handheld electroretinography (ERG), corneal confocal microscopy (CCM) and evaluation of electrochemical skin conductance (ESC). RESULTS Seventy-five participants with normoglycaemia (n = 20), prediabetes (n = 29) and type 2 diabetes (n = 26) were studied. Compared with normoglycaemia, mean peak ERG amplitudes of retinal responses at low (16-Td·s: 4.05 μV, 95% confidence interval [95% CI] 0.96-7.13) and high (32-Td·s: 5·20 μV, 95% CI 1.54-8.86) retinal illuminance were lower in prediabetes, as were OCT-A parafoveal vessel densities in superficial (0.051 pixels/mm2 , 95% CI 0.005-0.095) and deep (0.048 pixels/mm2 , 95% CI 0.003-0.093) retinal layers. There were no differences in CCM or ESC measurements between these two groups. Correlations between HbA1c and peak ERG amplitude at 32-Td·s (r = -0.256, p = 0.028), implicit time at 32-Td·s (r = 0.422, p < 0.001) and 16-Td·s (r = 0.327, p = 0.005), OCT parafoveal vessel density in the superficial (r = -0.238, p = 0.049) and deep (r = -0.3, p = 0.017) retinal layers, corneal nerve fibre length (CNFL) (r = -0.293, p = 0.017), and ESC-hands (r = -0.244, p = 0.035) were observed. HOMA-IR was a predictor of CNFD (β = -0.94, 95% CI -1.66 to -0.21, p = 0.012) and CNBD (β = -5.02, 95% CI -10.01 to -0.05, p = 0.048). CONCLUSIONS The glucose threshold for the diagnosis of diabetes is based on emergent retinopathy on fundus examination. We show that both abnormal retinal neurovascular structure (OCT-A) and function (ERG) may precede retinopathy in prediabetes, which require confirmation in larger, adequately powered studies.
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Affiliation(s)
- Varo Kirthi
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - Kate I Reed
- King's College Hospital NHS Foundation Trust, London, UK
| | | | | | - Catey Bunce
- Biomedical Research Centre, The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London, UK
| | - Paul Nderitu
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - Uazman Alam
- University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
| | - Bronagh Clarke
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Scott Hau
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
- University College London, London, UK
| | | | | | - Rayaz A Malik
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
- Division of Research, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Theodoros Pissas
- King's College London, London, UK
- University College London, London, UK
| | | | - Prashanth Vas
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - David Hopkins
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
| | - Timothy L Jackson
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
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Ponirakis G, Al Hamad H, Omar DAM, Petropoulos IN, Khan A, Gad H, Chandran M, Gadelseed M, Elsotouhy A, Ramadan M, Gawhale PV, Elorrabi M, Tosino R, Mahfoud ZR, Khan S, Manikoth P, Abdelrahim YHM, Refaee MA, Thodi N, Own A, Shuaib A, Malik RA. Corneal nerve loss predicts dementia in patients with mild cognitive impairment. Ann Clin Transl Neurol 2023; 10:599-609. [PMID: 36852724 PMCID: PMC10109317 DOI: 10.1002/acn3.51747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/26/2023] [Accepted: 02/09/2023] [Indexed: 03/01/2023] Open
Abstract
OBJECTIVES This study compared the utility of corneal nerve measures with brain volumetry for predicting progression to dementia in individuals with mild cognitive impairment (MCI). METHODS Participants with no cognitive impairment (NCI) and MCI underwent assessment of cognitive function, brain volumetry of thirteen brain structures, including the hippocampus and corneal confocal microscopy (CCM). Participants with MCI were followed up in the clinic to identify progression to dementia. RESULTS Of 107 participants with MCI aged 68.4 ± 7.7 years, 33 (30.8%) progressed to dementia over 2.6-years of follow-up. Compared to participants with NCI (n = 12), participants who remained with MCI (n = 74) or progressed to dementia had lower corneal nerve measures (p < 0.0001). Progressors had lower corneal nerve measures, hippocampal, and whole brain volume (all p < 0.0001). However, CCM had a higher prognostic accuracy (72%-75% vs 68%-69%) for identifying individuals who progressed to dementia compared to hippocampus and whole brain volume. The adjusted odds ratio for progression to dementia was 6.1 (95% CI: 1.6-23.8) and 4.1 (95% CI: 1.2-14.2) higher with abnormal CCM measures, but was not significant for abnormal brain volume. INTERPRETATION Abnormal CCM measures have a higher prognostic accuracy than brain volumetry for predicting progression from MCI to dementia. Further work is required to validate the predictive ability of CCM compared to other established biomarkers of dementia.
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Affiliation(s)
- Georgios Ponirakis
- Department of MedicineWeill Cornell Medicine‐Qatar, Qatar FoundationDohaQatar
| | - Hanadi Al Hamad
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Dunya A. M. Omar
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | | | - Adnan Khan
- Department of MedicineWeill Cornell Medicine‐Qatar, Qatar FoundationDohaQatar
| | - Hoda Gad
- Department of MedicineWeill Cornell Medicine‐Qatar, Qatar FoundationDohaQatar
| | - Mani Chandran
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Masharig Gadelseed
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Ahmed Elsotouhy
- Department of MedicineWeill Cornell Medicine‐Qatar, Qatar FoundationDohaQatar
- NeuroradiologyHamad General Hospital, Hamad Medical CorporationDohaQatar
| | - Marwan Ramadan
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Priya V. Gawhale
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Marwa Elorrabi
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Rhia Tosino
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Ziyad R. Mahfoud
- Department of MedicineWeill Cornell Medicine‐Qatar, Qatar FoundationDohaQatar
| | - Shafi Khan
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Pravija Manikoth
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | | | - Mahmoud A. Refaee
- Geriatric & Memory ClinicRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Noushad Thodi
- MRI UnitRumailah Hospital, Hamad Medical CorporationDohaQatar
| | - Ahmed Own
- NeuroradiologyHamad General Hospital, Hamad Medical CorporationDohaQatar
| | - Ashfaq Shuaib
- Department of MedicineUniversity of AlbertaEdmontonAlbertaCanada
| | - Rayaz A. Malik
- Department of MedicineWeill Cornell Medicine‐Qatar, Qatar FoundationDohaQatar
- Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUK
- Faculty of Science and EngineeringManchester Metropolitan UniversityManchesterUK
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Røikjer J, Croosu SS, Sejergaard BF, Hansen TM, Frøkjær JB, Søndergaard CB, Petropoulos IN, Malik RA, Nielsen E, Mørch CD, Ejskjaer N. Diagnostic Accuracy of Perception Threshold Tracking in the Detection of Small Fiber Damage in Type 1 Diabetes. J Diabetes Sci Technol 2023:19322968231157431. [PMID: 36825610 DOI: 10.1177/19322968231157431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
AIM An objective assessment of small nerve fibers is key to the early detection of diabetic peripheral neuropathy (DPN). This study investigates the diagnostic accuracy of a novel perception threshold tracking technique in detecting small nerve fiber damage. METHODS Participants with type 1 diabetes (T1DM) without DPN (n = 20), with DPN (n = 20), with painful DPN (n = 20) and 20 healthy controls (HCs) underwent perception threshold tracking on the foot and corneal confocal microscopy. Diagnostic accuracy of perception threshold tracking compared to corneal confocal microscopy was analyzed using logistic regression. RESULTS The rheobase, corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), and corneal nerve fiber length (CNFL) (all P < .001) differed between groups. The diagnostic accuracy of perception threshold tracking (rheobase) was excellent for identifying small nerve fiber damage, especially for CNFL with a sensitivity of 94%, specificity 94%, positive predictive value 97%, and negative predictive value 89%. There was a significant correlation between rheobase with CNFD, CNBD, CNFL, and Michigan Neuropathy Screening Instrument (all P < .001). CONCLUSION Perception threshold tracking had a very high diagnostic agreement with corneal confocal microscopy for detecting small nerve fiber loss and may have clinical utility for assessing small nerve fiber damage and hence early DPN. CLINICAL TRIALS NCT04078516.
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Affiliation(s)
- Johan Røikjer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Suganthiya Santhiapillai Croosu
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Tine Maria Hansen
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | | | | | - Esben Nielsen
- Department of Ophthalmology, Aarhus University Hospital, Aarhus, Denmark
| | - Carsten Dahl Mørch
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- Center for Neuroplasticity and Pain, Center for Sensory-Motor Interaction, Aalborg, Denmark
| | - Niels Ejskjaer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Clinical Medicine and Endocrinology, Aalborg University Hospital, Aalborg, Denmark
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Verma S, Sabbour H, Alamuddin N, Alawadi F, Alkandari H, Almahmeed W, Assaad-Khalil SH, Haddad J, Lombard L, Malik RA, Mashaki Ceyhan E, Prasad P, Tombak G, Salek S. A cross-sectional study of the prevalence and clinical management of atherosclerotic cardiovascular diseases in patients with type 2 diabetes across the Middle East and Africa (PACT-MEA): Study design and rationale. Diabetes Obes Metab 2023; 25:1444-1452. [PMID: 36775980 DOI: 10.1111/dom.15011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/27/2023] [Accepted: 02/07/2023] [Indexed: 02/14/2023]
Abstract
AIM To investigate the epidemiology and clinical management of patients with type 2 diabetes (T2D) and established atherosclerotic cardiovascular disease (eASCVD) or high/very high ASCVD risk, defined by the 2021 European Society of Cardiology Guidelines, in seven countries in the Middle East and Africa (PACT-MEA; NCT05317845), and to assess physicians' attitudes and the basis for their decision-making in the management of these patients. MATERIALS AND METHODS PACT-MEA is a cross-sectional, observational study undertaken in Bahrain, Egypt, Jordan, Kuwait, Qatar, South Africa and the United Arab Emirates based on a medical chart review of approximately 3700 patients with T2D in primary and secondary care settings, and a survey of approximately 400 physicians treating patients with T2D. RESULTS The primary and secondary objectives are to determine the prevalence of eASCVD and high/very high ASCVD risk in patients with T2D. Current treatment with cardioprotective antidiabetic medication, the proportion of patients meeting the treatment criteria for reimbursement in the study countries where there is an applicable reimbursement guideline, and physician-reported factors in clinical decision-making in T2D management, will also be assessed. CONCLUSIONS This large cross-sectional study will establish the estimated prevalence and management of eASCVD and high/very high ASCVD risk in patients with type 2 diabetes across the Middle East and Africa.
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Affiliation(s)
- Subodh Verma
- St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Hani Sabbour
- Heart, Vascular & Thoracic Institute at Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Naji Alamuddin
- Royal College of Surgeons in Ireland-Bahrain, King Hamad University Hospital, Adliya, Bahrain
| | - Fatheya Alawadi
- Department of Endocrinology, Dubai Hospital, Dubai Health Authority (DHA), Dubai, United Arab Emirates
| | - Hessa Alkandari
- Department of Pediatrics, Farwaniya Hospital, Kuwait City, Kuwait
- Department of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Wael Almahmeed
- Heart, Vascular & Thoracic Institute at Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Samir H Assaad-Khalil
- Unit of Diabetes, Lipidology and Metabolism, Alexandria University, Alexandria, Egypt
- Department of Internal Medicine/Alexandria Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Jihad Haddad
- Endocrinology Section, Bader Medical Complex, Amman, Jordan
| | | | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | | | | | | | - Sam Salek
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
- Institute for Medicines Development, Cardiff, UK
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37
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Petropoulos IN, Al-Shibani F, Bitirgen G, Ponirakis G, Khan A, Gad H, Mahfoud ZR, Altarawneh H, Rehman MH, John K, Al-Merekhi D, George P, Uca AU, Ozkagnici A, Ibrahim F, Francis R, Canibano B, Deleu D, El-Sotouhy A, Vattoth S, Own A, Shuaib A, Akhtar N, Kamran S, Malik RA. Corneal axonal loss as an imaging biomarker of neurodegeneration in multiple sclerosis: a longitudinal study. Ther Adv Neurol Disord 2023; 16:17562864221118731. [PMID: 36776530 PMCID: PMC9909084 DOI: 10.1177/17562864221118731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 07/23/2022] [Indexed: 02/09/2023] Open
Abstract
Background Resourceful endpoints of axonal loss are needed to predict the course of multiple sclerosis (MS). Corneal confocal microscopy (CCM) can detect axonal loss in patients with clinically isolated syndrome and established MS, which relates to neurological disability. Objective To assess corneal axonal loss over time in relation to retinal atrophy, and neurological and radiological abnormalities in MS. Methods Patients with relapsing-remitting (RRMS) (n = 68) or secondary progressive MS (SPMS) (n = 15) underwent CCM and optical coherence tomography. Corneal nerve fibre density (CNFD-fibres/mm2), corneal nerve branch density (CNBD-branches/mm2), corneal nerve fibre length (CNFL-mm/mm2) and retinal nerve fibre layer (RNFL-μm) thickness were quantified along with neurological and radiological assessments at baseline and after 2 years of follow-up. Age-matched, healthy controls (n = 20) were also assessed. Results In patients with RRMS compared with controls at baseline, CNFD (p = 0.004) and RNFL thickness (p < 0.001) were lower, and CNBD (p = 0.003) was higher. In patients with SPMS compared with controls, CNFD (p < 0.001), CNFL (p = 0.04) and RNFL thickness (p < 0.001) were lower. For identifying RRMS, CNBD had the highest area under the receiver operating characteristic (AUROC) curve (0.99); and for SPMS, CNFD had the highest AUROC (0.95). At follow-up, there was a further significant decrease in CNFD (p = 0.04), CNBD (p = 0.001), CNFL (p = 0.008) and RNFL (p = 0.002) in RRMS; in CNFD (p = 0.04) and CNBD (p = 0.002) in SPMS; and in CNBD (p = 0.01) in SPMS compared with RRMS. Follow-up corneal nerve loss was greater in patients with new enhancing lesions and optic neuritis history. Conclusion Progressive corneal and retinal axonal loss was identified in patients with MS, especially those with more active disease. CCM may serve as an imaging biomarker of axonal loss in MS.
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Affiliation(s)
| | - Fatima Al-Shibani
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Gulfidan Bitirgen
- Department of Ophthalmology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Georgios Ponirakis
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Adnan Khan
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Hoda Gad
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Ziyad R. Mahfoud
- Division of Medical Education, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar,Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Heba Altarawneh
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | | | - Karen John
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Dhabia Al-Merekhi
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Pooja George
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ali Ulvi Uca
- Department of Neurology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Ahmet Ozkagnici
- Department of Neurology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - 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
| | - Ahmed Own
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ashfaq Shuaib
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Naveed Akhtar
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
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Tarar MY, Malik RA, Charalambous CP. Bleeding complications in patients on warfarin undergoing joint injection/aspiration: systematic review and meta-analysis. Rheumatol Int 2023; 43:245-251. [PMID: 36322144 PMCID: PMC9898419 DOI: 10.1007/s00296-022-05232-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 10/06/2022] [Indexed: 11/07/2022]
Abstract
Steroid injections in joints are commonly administered for the management of inflammatory or degenerative conditions. There is substantial controversy as to whether to continue warfarin when undertaking joint injection or aspiration. To assess the rate of bleeding complications in patients on warfarin undergoing joint injection/aspiration. Systematic review and meta-analysis. A literature search of 3 online databases was conducted by 2 reviewers using the Cochrane methodology for systematic reviews. Eligibility criteria were any study that reported bleeding complication rates in adult patients on warfarin undergoing a joint injection/aspiration whilst taking warfarin anticoagulation. Studies reporting on less than 5 patients were excluded. Meta-analysis was conducted using a random effects model. The search of databases resulted in a total of 1547 articles. After screening, 8 articles were deemed suitable for inclusion in the analysis, involving 871 injection/aspiration procedures. There were only 5 reported cases of bleeding. On meta-analysis the estimated bleeding complication rate was 1.5% (95% CI 0.5-4.5%). This meta-analysis shows that it is safe to perform joint injection and aspiration in patients on warfarin without routine prior testing of INR. Level of evidence: Level 4.
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Affiliation(s)
- M Y Tarar
- Blackpool Teaching Hospitals NHS Trust, Blackpool, UK
| | - R A Malik
- Weill Cornell Medicine-Qatar, Doha, Qatar.,University of Manchester, Manchester, UK
| | - C P Charalambous
- Blackpool Teaching Hospitals NHS Trust, Blackpool, UK. .,School of Medicine, University of Central, Lancashire, UK.
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Koppikar S, Oaknin A, Babu KG, Lorusso D, Gupta S, Wu LY, Rajabto W, Harano K, Hong SH, Malik RA, Strebel H, Aggarwal IM, Lai CH, Dejthevaporn T, Tangjitgamol S, Cheng WF, Chay WY, Benavides D, Hashim NM, Moon YW, Yunokawa M, Anggraeni TD, Wei W, Curigliano G, Maheshwari A, Mahantshetty U, Sheshadri S, Peters S, Yoshino T, Pentheroudakis G. Pan-Asian adapted ESMO Clinical Practice Guidelines for the diagnosis, treatment and follow-up of patients with endometrial cancer. ESMO Open 2023; 8:100774. [PMID: 36696825 PMCID: PMC10024150 DOI: 10.1016/j.esmoop.2022.100774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/06/2022] [Indexed: 01/25/2023] Open
Abstract
The most recent version of the European Society for Medical Oncology (ESMO) Clinical Practice Guidelines for the diagnosis, treatment and follow-up of patients with endometrial cancer was published in 2022. It was therefore decided, by both the ESMO and the Indian Society of Medical and Paediatric Oncology (ISMPO), to convene a virtual meeting in July 2022 to adapt the ESMO 2022 guidelines to take into account the variations in the management of endometrial cancer in Asia. These guidelines represent the consensus opinion of a panel of Asian experts representing the oncological societies of China (CSCO), India (ISMPO), Indonesia (ISHMO), Japan (JSMO), Korea (KSMO), Malaysia (MOS), the Philippines (PSMO), Singapore (SSO), Taiwan (TOS) and Thailand (TSCO). Voting was based on scientific evidence and was conducted independently of the current treatment practices and treatment access constraints in the different Asian countries, which were discussed when appropriate. The aim of this guideline manuscript is to provide guidance for the optimisation and harmonisation of the management of patients with endometrial cancer across the different regions of Asia, drawing on the evidence provided by Western and Asian trials whilst respecting the variations in clinical presentation, diagnostic practices including molecular profiling and disparities in access to therapeutic options, including drug approvals and reimbursement strategies.
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Affiliation(s)
- S Koppikar
- Department of Medical Oncology, Lilavati Hospital and Research Centre, Mumbai, India; Department of Medical Oncology, Bombay Hospital Institute of Medical Sciences, Mumbai, India.
| | - A Oaknin
- Gynaecologic Cancer Programme, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - K Govind Babu
- Department of Medical Oncology, HCG Hospital and St. Johns Medical College, Bengaluru, India
| | - D Lorusso
- Department of Life Science and Public Health, Catholic University of Sacred Heart, Largo Agostino Gemelli, Rome; Department of Women and Child Health, Division of Gynaecologic Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - S Gupta
- Department of Medical Oncology, Tata Memorial Centre and Homi Bhabha National Institute, Mumbai, India
| | - L-Y Wu
- Department of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Rajabto
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Dr. Cipto Mangunkusumo General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - K Harano
- Department of Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - S-H Hong
- Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - R A Malik
- Clinical Oncology Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - H Strebel
- Division of Medical Oncology, Department of Internal Medicine, University of the Philippines, Philippine General Hospital, Manila, The Philippines
| | - I M Aggarwal
- Department of Gynaecologic Oncology, KK Women's and Children's Hospital, Singapore, Singapore
| | - C-H Lai
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - T Dejthevaporn
- Medical Oncology Unit, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - S Tangjitgamol
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand; Obstetrics and Gynecology Center, Medpark Hospital, Bangkok, Thailand
| | - W F Cheng
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - W Y Chay
- Division of Medical Oncology, National Cancer Centre, Singapore, Singapore
| | - D Benavides
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, U.P. College of Medicine and Philippine General Hospital, Manila, The Philippines
| | - N M Hashim
- Oncology and Radiotherapy Department, KPJ Johor Specialist Hospital, Johor Bahru, Malaysia
| | - Y W Moon
- Department of Hematology and Oncology, CHA Bundang Medical Center (CBMC), CHA University, Seongnam, Gyeonggi-do, Republic of Korea
| | - M Yunokawa
- Department of Gynecology and Medical Oncology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan
| | - T D Anggraeni
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Dr. Cipto Mangunkusumo General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - W Wei
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - G Curigliano
- European Institute of Oncology, IRCCS, Milano, Italy; Department of Oncology and Hemato-Oncology, University of Milano, Milano, Italy
| | - A Maheshwari
- Department of Gynecologic Oncology, Tata Memorial Centre and Homi Bhabha National Institute, Mumbai, India
| | - U Mahantshetty
- Department of Radiation Oncology, Homi Bhabha Cancer Hospital and Research Hospital, Vishakhapatnam, India
| | - S Sheshadri
- Department of Pathology, Kidwai Memorial Institute of Oncology, Bengaluru, India
| | - S Peters
- Oncology Department, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - T Yoshino
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan
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Haque F, Reaz MBI, Chowdhury MEH, Shapiai MIB, Malik RA, Alhatou M, Kobashi S, Ara I, Ali SHM, Bakar AAA, Bhuiyan MAS. A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument. Diagnostics (Basel) 2023; 13:diagnostics13020264. [PMID: 36673074 PMCID: PMC9857736 DOI: 10.3390/diagnostics13020264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/21/2022] [Accepted: 12/31/2022] [Indexed: 01/12/2023] Open
Abstract
Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument (MNSI) is frequently deployed, but it lacks a straightforward rating of severity. A DSPN severity grading system has been built and simulated for the MNSI, utilizing longitudinal data captured over 19 years from the Epidemiology of Diabetes Interventions and Complications (EDIC) trial. Machine learning algorithms were used to establish the MNSI factors and patient outcomes to characterise the features with the best ability to detect DSPN severity. A nomogram based on multivariable logistic regression was designed, developed and validated. The extra tree model was applied to identify the top seven ranked MNSI features that identified DSPN, namely vibration perception (R), 10-gm filament, previous diabetic neuropathy, vibration perception (L), presence of callus, deformities and fissure. The nomogram's area under the curve (AUC) was 0.9421 and 0.946 for the internal and external datasets, respectively. The probability of DSPN was predicted from the nomogram and a DSPN severity grading system for MNSI was created using the probability score. An independent dataset was used to validate the model's performance. The patients were divided into four different severity levels, i.e., absent, mild, moderate, and severe, with cut-off values of 10.50, 12.70 and 15.00 for a DSPN probability of less than 50, 75 and 100%, respectively. We provide an easy-to-use, straightforward and reproducible approach to determine prognosis in patients with DSPN.
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Affiliation(s)
- Fahmida Haque
- Centre of Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Ludwika Pasteura 3, 02-093 Warszawa, Poland
| | - Mamun B. I. Reaz
- Centre of Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
- Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia
- Correspondence: (M.B.I.R.); (M.E.H.C.); (M.A.S.B.)
| | - Muhammad E. H. Chowdhury
- Department of Electrical Engineering, Qatar University, Doha 2713, Qatar
- Correspondence: (M.B.I.R.); (M.E.H.C.); (M.A.S.B.)
| | - Mohd Ibrahim bin Shapiai
- Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia
| | - Rayaz A. Malik
- Department of Medicine, Weill Cornell Medicine—Qatar, Doha 24144, Qatar
| | - Mohammed Alhatou
- Neuromuscular Division, Hamad General Hospital, Doha 3050, Qatar
- Department of Neurology, Al khor Hospital, Doha 3050, Qatar
| | - Syoji Kobashi
- Graduate School of Engineering, University of Hyogo, Himeji 678-1297, Hyogo, Japan
| | - Iffat Ara
- Department of Electrical Engineering, Qatar University, Doha 2713, Qatar
| | - Sawal H. M. Ali
- Centre of Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
| | - Ahmad A. A. Bakar
- Centre of Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
| | - Mohammad Arif Sobhan Bhuiyan
- Electrical and Electronics Engineering, Xiamen University Malaysia, Sepang 43900, Malaysia
- Correspondence: (M.B.I.R.); (M.E.H.C.); (M.A.S.B.)
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Che NN, Jiang QH, Chen S, Chen SY, Zhao ZX, Li X, Ma JJ, Zhang JW, Malik RA, Yang HQ. The severity of corneal nerve loss differentiates motor subtypes in patients with Parkinson's disease. Ther Adv Neurol Disord 2023; 16:17562864231165561. [PMID: 37114067 PMCID: PMC10126700 DOI: 10.1177/17562864231165561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 03/06/2023] [Indexed: 04/29/2023] Open
Abstract
Background Parkinson's disease (PD) is a heterogeneous movement disorder with patients manifesting with either tremor-dominant (TD) or postural instability and gait disturbance (PIGD) motor subtypes. Small nerve fiber damage occurs in patients with PD and may predict motor progression, but it is not known whether it differs between patients with different motor subtypes. Objective The aim of this study was to explore whether there was an association between the extent of corneal nerve loss and different motor subtypes. Methods Patients with PD classified as TD, PIGD, or mixed subtype underwent detailed clinical and neurological evaluation and corneal confocal microscopy (CCM). Corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), and corneal nerve fiber length (CNFL) were compared between groups, and the association between corneal nerve fiber loss and motor subtypes was investigated. Results Of the 73 patients studied, 29 (40%) had TD, 34 (46%) had PIGD, and 10 (14%) had a mixed subtype. CNFD (no./mm2, 24.09 ± 4.58 versus 28.66 ± 4.27; p < 0.001), CNBD (no./mm2, 28.22 ± 11.11 versus 37.37 ± 12.76; p = 0.015), and CNFL (mm/mm2, 13.11 ± 2.79 versus 16.17 ± 2.37; p < 0.001) were significantly lower in the PIGD group compared with the TD group. Multivariate logistic regression showed that higher CNFD (OR = 1.265, p = 0.019) and CNFL (OR = 1.7060, p = 0.003) were significantly associated with the TD motor subtype. The receiver operating characteristic (ROC) analysis demonstrated that combined corneal nerve metrics showed excellent discrimination between TD and PIGD, with an area under the curve (AUC) of 0.832. Conclusion Greater corneal nerve loss occurs in patients with PIGD compared with TD, and patients with a higher CNFD or CNFL were more likely to have the TD subtype. CCM may have clinical utility in differentiating different motor subtypes in PD.
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Affiliation(s)
| | | | - Shuai Chen
- Department of Neurology, Henan Provincial People’s Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Si-Yuan Chen
- Department of Neurology, Henan Provincial People’s Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Zhen-Xiang Zhao
- Department of Neurology, Henan Provincial People’s Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Xue Li
- Department of Neurology, Henan Provincial People’s Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Jian-Jun Ma
- Department of Neurology, Henan Provincial People’s Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Jie-Wen Zhang
- Department of Neurology, Henan Provincial People’s Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Rayaz A. Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar; Division of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, UK
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Marshall A, Kalteniece A, Ferdousi M, Azmi S, Jude EB, Adamson C, D’Onofrio L, Dhage S, Soran H, Campbell J, Lee-Kubli CA, Hamdy S, Malik RA, Calcutt NA, Marshall AG. Spinal disinhibition: evidence for a hyperpathia phenotype in painful diabetic neuropathy. Brain Commun 2023; 5:fcad051. [PMID: 36938521 PMCID: PMC10016414 DOI: 10.1093/braincomms/fcad051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 01/09/2023] [Accepted: 02/27/2023] [Indexed: 03/05/2023] Open
Abstract
The dominant sensory phenotype in patients with diabetic polyneuropathy and neuropathic pain is a loss of function. This raises questions as to which mechanisms underlie pain generation in the face of potentially reduced afferent input. One potential mechanism is spinal disinhibition, whereby a loss of spinal inhibition leads to increased ascending nociceptive drive due to amplification of, or a failure to suppress, incoming signals from the periphery. We aimed to explore whether a putative biomarker of spinal disinhibition, impaired rate-dependent depression of the Hoffmann reflex, is associated with a mechanistically appropriate and distinct pain phenotype in patients with painful diabetic neuropathy. In this cross-sectional study, 93 patients with diabetic neuropathy underwent testing of Hoffmann reflex rate-dependent depression and detailed clinical and sensory phenotyping, including quantitative sensory testing. Compared to neuropathic patients without pain, patients with painful diabetic neuropathy had impaired Hoffmann reflex rate-dependent depression at 1, 2 and 3 Hz (P ≤ 0.001). Patients with painful diabetic neuropathy exhibited an overall loss of function profile on quantitative sensory testing. However, within the painful diabetic neuropathy group, cluster analysis showed evidence of greater spinal disinhibition associated with greater mechanical pain sensitivity, relative heat hyperalgesia and higher ratings of spontaneous burning pain. These findings support spinal disinhibition as an important centrally mediated pain amplification mechanism in painful diabetic neuropathy. Furthermore, our analysis indicates an association between spinal disinhibition and a distinct phenotype, arguably akin to hyperpathia, with combined loss and relative gain of function leading to increasing nociceptive drive.
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Affiliation(s)
- Anne Marshall
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
- Institute of Life course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, UK
| | - Alise Kalteniece
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Maryam Ferdousi
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Shazli Azmi
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
- Diabetes Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Edward B Jude
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
- Department of Diabetes and Endocrinology, Tameside and Glossop Integrated Care NHS Foundation Trust, Manchester OL6 9RW, UK
| | - Clare Adamson
- Diabetes Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Luca D’Onofrio
- Department of Experimental Medicine, Sapienza University, Rome 00185, Italy
| | - Shaishav Dhage
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Handrean Soran
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Jackie Campbell
- Faculty of Health, Education and Society, University of Northampton, Northampton NN1 5PH, UK
| | - Corinne A Lee-Kubli
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Shaheen Hamdy
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Rayaz A Malik
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
- Weill Cornell Medicine-Qatar, Research Division, Qatar Foundation, Doha 24144, Qatar
| | - Nigel A Calcutt
- Department of Pathology, University of California, La Jolla, CA 92093, USA
| | - Andrew G Marshall
- Correspondence to: Andrew G. Marshall The Pain Research Institute, Aintree University Hospital 2nd Floor Clinical Science Centre, Lower Lane, Liverpool L9 7AL, UK E-mail:
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Pacaud D, Romanchuk KG, Virtanen H, Ferdousi M, Nettel-Aguirre A, Mah JK, Tavakoli M, Zochodne DW, Malik RA. Corneal nerve and nerve conduction abnormalities in children with type 1 diabetes. Pediatr Diabetes 2022; 23:1665-1673. [PMID: 36131228 DOI: 10.1111/pedi.13419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 09/08/2022] [Accepted: 09/17/2022] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE In vivo corneal confocal microscopy (CCM) is a novel, rapid, and non-invasive technique that identifies early small fiber damage and can predict the progression and development of clinical neuropathy in adults with type 1 diabetes. However, its usefulness in children is not well established. This study compared corneal confocal microscopy with neuropathic symptoms, signs, and objective measures of neuropathy for the diagnosis of diabetic neuropathy in children with type 1 diabetes. RESEARCH DESIGN AND METHODS A total of 83 children with type 1 diabetes and 83 healthy participants of similar age underwent assessment of neuropathy symptoms, signs, nerve conduction studies, quantitative sensory and autonomic function testing, and in vivo CCM. RESULTS Only of 3/83 (4%) children with type 1 diabetes had subclinical neuropathy. However, corneal nerve fiber density (p = 0.001), branch density (p = 0.006), fiber length (p = 0.002), tibial motor nerve amplitude and conduction velocity, and sural sensory nerve amplitude and conduction velocity (all p < 0.004) were lower in participants with type 1 diabetes than in the controls. Vibration, cooling, and warm perception thresholds and deep breathing heart rate variability were not found to be different (all p > 0.05) between children with type 1 diabetes and healthy controls. Multivariate regression analysis identified a possible association between body mass index and decreased corneal nerves. CONCLUSIONS Decreased corneal nerves and abnormal nerve conduction were found in children with type 1 diabetes. CCM may allow rapid objective detection of subclinical diabetic neuropathy in children and adolescents with type 1 diabetes.
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Affiliation(s)
- Danièle Pacaud
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Pediatric Diabetes, Pediatric Neurology and Pediatric Ophthalmology divisions, Alberta Children's Hospital, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
| | - Kenneth G Romanchuk
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Pediatric Diabetes, Pediatric Neurology and Pediatric Ophthalmology divisions, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Heidi Virtanen
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Pediatric Diabetes, Pediatric Neurology and Pediatric Ophthalmology divisions, Alberta Children's Hospital, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
| | - Maryam Ferdousi
- Division of Cardiovascular Sciences, Cardiac Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,NIHR/Wellcome Trust Clinical Research Facility, Manchester, UK
| | - Alberto Nettel-Aguirre
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Centre for Health and Social Analytics, NIASRA, University of Wollongong, Wollongong, New South Wales, Australia
| | - Jean K Mah
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Pediatric Diabetes, Pediatric Neurology and Pediatric Ophthalmology divisions, Alberta Children's Hospital, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
| | - Mitra Tavakoli
- Centre for Endocrinology and Diabetes, Institute of Human Development, University of Manchester, Manchester, UK.,Exeter Centre of Excellence for Diabetes Research, NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Douglas W Zochodne
- Division of Neurology, Department of Medicine and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Rayaz A Malik
- Division of Cardiovascular Sciences, Cardiac Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,NIHR/Wellcome Trust Clinical Research Facility, Manchester, UK.,Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
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Gad H, Elgassim E, Mohammed I, Alhaddad AY, Ahmed Hussein Zaky Aly H, Cabibihan JJ, Al-Ali A, Sadasivuni KK, Haji A, Lamine N, Khan A, Petropoulos IN, Ponirakis G, Kalteniece A, Ferdousi M, Azmi S, Alam U, Abuhelaiqa W, Jayyousi A, AlMohanadi D, Baagar K, Malik RA. Continuous glucose monitoring reveals a novel association between duration and severity of hypoglycemia, and small nerve fiber injury in patients with diabetes. Endocr Connect 2022; 11:e220352. [PMID: 36240043 PMCID: PMC9716363 DOI: 10.1530/ec-22-0352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 11/08/2022]
Abstract
Objective Continuous glucose monitoring (CGM) has revealed that glycemic variability and low time in range are associated with albuminuria and retinopathy. We have investigated the relationship between glucose metrics derived from CGM and a highly sensitive measure of neuropathy using corneal confocal microscopy in participants with type 1 and type 2 diabetes. Methods A total of 40 participants with diabetes and 28 healthy controls underwent quantification of corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal nerve fiber length (CNFL) and inferior whorl length (IWL) and those with diabetes underwent CGM for four consecutive days. Results CNBD was significantly lower in patients with high glycemic variability (GV) compared to low GV (median (range) (25.0 (19.0-37.5) vs 38.6 (29.2-46.9); P = 0.007); in patients who spent >4% compared to <4% time in level 1 hypoglycemia (54-69 mg/dL) (25.0 (22.9-37.5) vs 37.5 (29.2-46.9); P = 0.045) and in patients who spent >1% compared to <1% time in level 2 hypoglycemia (<54 mg/dL) (25.0 (19.8-41.7) vs 35.4 (28.1-44.8); P = 0.04). Duration in level 1 hypoglycemia correlated with CNBD (r = -0.342, P = 0.031). Duration in level 1 (181-250 mg/dL) and level 2 (>250 mg/dL) hyperglycemia did not correlate with CNFD (P > 0.05), CNBD (P > 0.05), CNFL (P > 0.05) or IWL (P > 0.05). Conclusions Greater GV and duration in hypoglycemia, rather than hyperglycemia, are associated with nerve fiber loss in diabetes.
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Affiliation(s)
- Hoda Gad
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Einas Elgassim
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Ibrahim Mohammed
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Department of Internal Medicine, Albany Medical Center Hospital, Albany, New York, USA
| | - Ahmad Yaser Alhaddad
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | | | - John-John Cabibihan
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | - Abdulaziz Al-Ali
- KINDI Center for computing research, Qatar University, Doha, Qatar
| | | | - Aliyaa Haji
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Neila Lamine
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Adnan Khan
- Faculty of Healthy Sciences, Khyber Medical University, Peshawar, Pakistan
| | | | | | - Alise Kalteniece
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Maryam Ferdousi
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Shazli Azmi
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Uazman Alam
- Diabetes and Neuropathy Research, Department of Eye and Vision Sciences and Pain Research Institute, Institute of Ageing and Chronic Disease, University of Liverpool and Aintree University Hospital NHS Foundation Trust, Liverpool, UK
- Department of Diabetes and Endocrinology, Royal Liverpool and Broadgreen University NHS Hospital Trust, Liverpool, UK
- Division of Endocrinology, Diabetes and Gastroenterology, University of Manchester, Manchester, UK
| | | | - Amin Jayyousi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Dabia AlMohanadi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Khaled Baagar
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
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45
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Zaghlool SB, Halama A, Stephan N, Gudmundsdottir V, Gudnason V, Jennings LL, Thangam M, Ahlqvist E, Malik RA, Albagha OME, Abou‑Samra AB, Suhre K. Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population. Nat Commun 2022; 13:7121. [PMID: 36402758 PMCID: PMC9675829 DOI: 10.1038/s41467-022-34754-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 11/07/2022] [Indexed: 11/20/2022] Open
Abstract
Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild obesity-related (MOD), and mild age-related (MARD) diabetes. Here, the clustering approach was applied to individuals with T2D from the Qatar Biobank and validated in an independent set. Cluster-specific signatures of circulating metabolites and proteins were established, revealing subtype-specific molecular mechanisms, including activation of the complement system with features of autoimmune diabetes and reduced 1,5-anhydroglucitol in SIDD, impaired insulin signaling in SIRD, and elevated leptin and fatty acid binding protein levels in MOD. The MARD cluster was the healthiest with metabolomic and proteomic profiles most similar to the controls. We have translated the T2D subtypes to an Arab population and identified distinct molecular signatures to further our understanding of the etiology of these subtypes.
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Affiliation(s)
- Shaza B. Zaghlool
- grid.416973.e0000 0004 0582 4340Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Anna Halama
- grid.416973.e0000 0004 0582 4340Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Nisha Stephan
- grid.416973.e0000 0004 0582 4340Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Valborg Gudmundsdottir
- grid.14013.370000 0004 0640 0021Faculty of Medicine, University of Iceland, Reykjavik, Iceland ,grid.420802.c0000 0000 9458 5898Icelandic Heart Association, Kopavogur, Iceland
| | - Vilmundur Gudnason
- grid.14013.370000 0004 0640 0021Faculty of Medicine, University of Iceland, Reykjavik, Iceland ,grid.420802.c0000 0000 9458 5898Icelandic Heart Association, Kopavogur, Iceland
| | - Lori L. Jennings
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - Manonanthini Thangam
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Emma Ahlqvist
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Rayaz A. Malik
- grid.416973.e0000 0004 0582 4340Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Omar M. E. Albagha
- grid.452146.00000 0004 1789 3191College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Doha, Qatar ,grid.4305.20000 0004 1936 7988Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Abdul Badi Abou‑Samra
- grid.413548.f0000 0004 0571 546XQatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
| | - Karsten Suhre
- grid.416973.e0000 0004 0582 4340Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
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Eledrisi MS, Alkabbani H, Aboawon M, Ali A, Alabdulrazzak I, Elhaj M, Ahmed A, Alqahwachi H, Daghfal J, Beshyah SA, Malik RA. Clinical characteristics and outcomes of care in patients hospitalized with diabetic ketoacidosis. Diabetes Res Clin Pract 2022; 192:110041. [PMID: 35985426 DOI: 10.1016/j.diabres.2022.110041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/25/2022] [Accepted: 08/11/2022] [Indexed: 11/17/2022]
Abstract
AIMS To assess the clinical characteristics and outcomes of patients hospitalized with DKA. METHODS We examined the hospital database for patients admitted with DKA to all government hospitals in Qatar over 6 years. RESULTS We evaluated a total of 1330 patients [(37.3 % with type 1 diabetes (T1DM) and 62.7 % with type 2 diabetes (T2DM)] with 1613 episodes of DKA. Patients with T2DM were older than those with T1DM [48.0 (38.0-60.0), 26.0 (21.0-31.0) years] while there was no difference in DKA severity and laboratory values on admission or time to resolution of DKA. Admission to the intensive care unit was higher (38.9 % vs. 26.6 %; P < 0.001) with a longer hospital stay [5 (2.0-9.0) vs. 2 (2.0-4.0) days, P < 0.001] and markedly higher mortality (7.4 % vs. 1 %; P < 0.001) in patients with T2DM compared to T1DM. On multivariable logistic regression analysis, significant predictors of mortality were older age (odds ratio, 1.11; 95 % CI, 1.07-1.15; P = 0.0001), and admission to the intensive care unit (odds ratio, 3.61; 95 % CI, 1.69-7.72;P = 0.001). CONCLUSION In this national cohort of patients hospitalized with DKA, those with T2DM had a 7-fold increase in inpatient mortality associated with older age and admission to the intensive care unit.
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Affiliation(s)
- Mohsen S Eledrisi
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar; Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
| | - Haifaa Alkabbani
- Department of Pediatrics, Hamad Medical Corporation, Doha, Qatar
| | - Malk Aboawon
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Aya Ali
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | | | - Maab Elhaj
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Ashraf Ahmed
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | | | - Joanne Daghfal
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Salem A Beshyah
- Department of Endocrinology, Yas Clinic, Abu Dhabi, United Arab Emirates; Department of Medicine, Dubai Medical College, Dubai, United Arab Emirates
| | - Rayaz A Malik
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar; Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar; Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, United Kingdom
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47
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Srinivasan S, Sobha Sivaprasad, Rajalakshmi R, Anjana RM, Malik RA, Kulothungan V, Raman R, Muna Bhende. Retinal structure-function correlation in type 2 diabetes. Eye (Lond) 2022; 36:1865-1871. [PMID: 34462581 PMCID: PMC9500073 DOI: 10.1038/s41433-021-01761-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/16/2021] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE To examine the relationship of visual function as assessed by visual acuity, contrast sensitivity, and multifocal electroretinography (mfERG) to macular structural and microvascular measures on optical coherence tomography (OCT) and angiography (OCTA) in individuals with diabetes. METHODS This is a prospective observational study conducted at a tertiary eye care centre in India. Right eyes of 121 adults with type 2 diabetes with no diabetic retinopathy (DR), mild or moderate nonproliferative DR (NPDR) were examined. Severe NPDR, proliferative DR and diabetic macular oedema were excluded. Participants underwent assessment of glycated haemoglobin (HbA1C), blood pressure, best corrected visual acuity (LogMAR), contrast sensitivity (CS), mfERG, ultrawide field fundus photography, OCT and OCTA. Correlations were assessed by Spearman's rank correlation (rho). RESULTS Of the total of 121 eyes, 89 had No DR, 32 had mild to moderate NPDR. In the No DR group, the LogMAR acuity was significantly and negatively correlated to central subfoveal thickness (CST) (rho = -0.420), macular vessel density (rho = -0.270) and perfusion (rho = -0.270). (ii) Contrast sensitivity correlated to foveal avascular zone circularity (rho = 0.297); (iii) mfERG P1 response densities were better with higher macular perfusion index (rho = 0.240). In the NPDR group, the LogMAR acuity also showed a significant negative correlation to CST (rho = -0.379). Other correlations were not significant. CONCLUSION Retinal and visual functional changes are evident in diabetic patients with No DR and are correlated to subclinical retinal structural changes detectable using multimodal imaging.
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Affiliation(s)
| | | | | | - Ranjit Mohan Anjana
- Dr. Mohan's Diabetes Specialties Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Vaitheeswaran Kulothungan
- National Centre for Disease Informatics and Research (NCDIR) & Indian Council of Medical Research (ICMR), Bangalore, India
| | - Rajiv Raman
- Shri Bhagwan Mahavir Vitreoretinal Services, SankaraNethralaya, Chennai, India
| | - Muna Bhende
- Shri Bhagwan Mahavir Vitreoretinal Services, SankaraNethralaya, Chennai, India.
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48
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Che NN, Chen S, Jiang QH, Chen SY, Zhao ZX, Li X, Malik RA, Ma JJ, Yang HQ. Corneal confocal microscopy differentiates patients with Parkinson’s disease with and without autonomic involvement. NPJ Parkinsons Dis 2022; 8:114. [PMID: 36085290 PMCID: PMC9463159 DOI: 10.1038/s41531-022-00387-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/30/2022] [Indexed: 11/30/2022] Open
Abstract
Autonomic dysregulation in Parkinson’s disease (PD) can precede motor deficits and is associated with reduced quality of life, disease progression, and increased mortality. Objective markers of autonomic involvement in PD are limited. Corneal confocal microscopy (CCM) is a rapid ophthalmic technique that can quantify small nerve damage in a range of peripheral and autonomic neuropathies. Here we investigated whether CCM can be used to assess autonomic symptoms in PD. Based on the scale for outcomes in Parkinson’s disease for autonomic symptoms (SCOPA-AUT), patients with PD were classified into those without autonomic symptoms (AutD-N), with single (AutD-S), and multiple (AutD-M) domain autonomic dysfunction. Corneal nerve fiber pathology was quantified using CCM, and the relationship with autonomic symptoms was explored. The study enrolled 71 PD patients and 30 control subjects. Corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal nerve fiber length (CNFL), and CNBD/CNFD ratio were lower in PD patients with autonomic symptoms compared to those without autonomic symptoms. Autonomic symptoms correlated positively with CNFD (r = −0.350, p = 0.004), and were not related to Levodopa equivalent daily dose (r = 0.042, p = 0.733) after adjusting for age, disease severity, disease duration or cognitive function. CCM parameters had high sensitivity and specificity in distinguishing patients with PD with and without autonomic symptoms. PD patients with autonomic symptoms have corneal nerve loss, and CCM could serve as an objective ophthalmic imaging technique to identify patients with PD and autonomic symptoms.
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Adam S, Ho JH, Syed AA, Malik RA, Soran H. Response to Letter to the Editor Concerning: Adam S. et al. Improvements in Diabetic Neuropathy and Nephropathy After Bariatric Surgery: a Prospective Cohort Study. Obes Surg 2022; 32:3460-3462. [PMID: 36018420 DOI: 10.1007/s11695-021-05818-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 11/10/2021] [Accepted: 11/17/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Safwaan Adam
- Department of Endocrinology, The Christie Hospital NHS Foundation Trust, Manchester, UK.,Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,Manchester Academic Health Science Centre, Manchester, UK
| | - Jan Hoong Ho
- Department of Endocrinology, The Christie Hospital NHS Foundation Trust, Manchester, UK.,Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,Manchester Academic Health Science Centre, Manchester, UK
| | - Akheel A Syed
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,Department of Diabetes, Endocrinology and Obesity Medicine, Salford Royal NHS Foundation Trust, Salford, UK
| | | | - Handrean Soran
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK. .,University Department of Medicine, Manchester University NHS Foundation Trust, Manchester, UK.
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50
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Malik RA. Corneal confocal microscopy meets continuous glucose monitoring: a tale of two technologies. Chin Med J (Engl) 2022; 135:1891-1893. [PMID: 36148585 PMCID: PMC9746738 DOI: 10.1097/cm9.0000000000002254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Indexed: 01/26/2023] Open
Affiliation(s)
- Rayaz A. Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar
- Institute of Cardiovascular Science, University of Manchester, Manchester, UK
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