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Cederberg KLJ, Silvestri R, Walters AS. Vitamin D and Restless Legs Syndrome: A Review of Current Literature. Tremor Other Hyperkinet Mov (N Y) 2023; 13:12. [PMID: 37034443 PMCID: PMC10077981 DOI: 10.5334/tohm.741] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/16/2023] [Indexed: 04/08/2023] Open
Abstract
This review presents a detailed summary of the current literature regarding RLS and vitamin D deficiency. To our knowledge it is the first review of its kind. We review the prevalence of vitamin D deficiency in RLS as well as the evidence for the use of vitamin D supplementation in RLS management. We further examine the literature for proteomic and genetic evidence of a role for vitamin D in the pathogenesis of RLS. An alteration in vitamin D binding protein in RLS is one of the most consistent findings in the proteomic studies. Furthermore, we examine the interaction of vitamin D with calcium, phosphorus, and parathyroid hormone and the possible role of these connections in RLS. We also explore the possible nexus between RLS and vitamin D in renal disease, cardiovascular and cerebrovascular disease as well as inflammation. In addition, we review the potential interaction between vitamin D and RLS with iron, dopamine and other neurotransmitter systems including the endogenous opiate, serotoninergic, glutamatergic and adenosinergic systems. We also explore the role of vitamin D in RLS Augmentation (i.e., the paradoxical worsening of RLS symptoms when dopaminergic agents are used as a therapy for RLS). Although the literature is not entirely consistent in affirming vitamin D deficiency in RLS or the amelioration of RLS symptoms with vitamin D therapy, the collective studies overall indicate that vitamin D deficiency is common enough in RLS patients to suggest that RLS patients should have their vitamin D levels checked and any deficiency corrected as a standard of care. Highlights Patients with Restless Legs Syndrome (RLS) may be deficient in vitamin D and therapy with vitamin D may ameliorate RLS. We present the first review dedicated solely to evaluating the relationship between RLS and vitamin D and present a case for the role of vitamin D in RLS pathogenesis.
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Affiliation(s)
- Katie L. J. Cederberg
- Department of Psychiatry & Behavioral Sciences, Stanford University, 3165 Porter Drive Palo Alto, CA, USA
| | - Rosalia Silvestri
- Department of Clinical and Experimental Medicine, Sleep Medicine Center, University of Messina, Azienda Ospedaliera Universitaria “Gaetano Martino”, Messina, Italy
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Cederberg KLJ, Hanif U, Peris Sempere V, Hédou J, Leary EB, Schneider LD, Lin L, Zhang J, Morse AM, Blackman A, Schweitzer PK, Kotagal S, Bogan R, Kushida CA, Ju YES, Petousi N, Turnbull CD, Mignot E. Proteomic Biomarkers of the Apnea Hypopnea Index and Obstructive Sleep Apnea: Insights into the Pathophysiology of Presence, Severity, and Treatment Response. Int J Mol Sci 2022; 23:7983. [PMID: 35887329 PMCID: PMC9317550 DOI: 10.3390/ijms23147983] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/11/2022] [Accepted: 07/17/2022] [Indexed: 11/16/2022] Open
Abstract
Obstructive sleep apnea (OSA), a disease associated with excessive sleepiness and increased cardiovascular risk, affects an estimated 1 billion people worldwide. The present study examined proteomic biomarkers indicative of presence, severity, and treatment response in OSA. Participants (n = 1391) of the Stanford Technology Analytics and Genomics in Sleep study had blood collected and completed an overnight polysomnography for scoring the apnea−hypopnea index (AHI). A highly multiplexed aptamer-based array (SomaScan) was used to quantify 5000 proteins in all plasma samples. Two separate intervention-based cohorts with sleep apnea (n = 41) provided samples pre- and post-continuous/positive airway pressure (CPAP/PAP). Multivariate analyses identified 84 proteins (47 positively, 37 negatively) associated with AHI after correction for multiple testing. Of the top 15 features from a machine learning classifier for AHI ≥ 15 vs. AHI < 15 (Area Under the Curve (AUC) = 0.74), 8 were significant markers of both AHI and OSA from multivariate analyses. Exploration of pre- and post-intervention analysis identified 5 of the 84 proteins to be significantly decreased following CPAP/PAP treatment, with pathways involving endothelial function, blood coagulation, and inflammatory response. The present study identified PAI-1, tPA, and sE-Selectin as key biomarkers and suggests that endothelial dysfunction and increased coagulopathy are important consequences of OSA, which may explain the association with cardiovascular disease and stroke.
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Affiliation(s)
- Katie L. J. Cederberg
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
| | - Umaer Hanif
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
- Biomedical Signal Processing & AI Research Group, Department of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, 2600 Glostrup, Denmark
| | - Vicente Peris Sempere
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
| | - Julien Hédou
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
| | - Eileen B. Leary
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
- Jazz Pharmaceuticals, 3170 Porter Drive, Palo Alto, CA 94304, USA
| | - Logan D. Schneider
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
- Alphabet, Inc., 1600 Amphitheater Parkway Mountain View, Palo Alto, CA 94043, USA
- Stanford/VA Alzheimer’s Research Center, 3801 Miranda Ave, Building 4, C-141, Mail Code 116F-PAD, Palo Alto, CA 94304, USA
| | - Ling Lin
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
| | - Jing Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
| | - Anne M. Morse
- Division of Child Neurology and Pediatric Sleep Medicine, Geisinger, Janet Weis Children’s Hospital, 100 N Academy Ave, Danville, PA 17822, USA;
| | - Adam Blackman
- Department of Psychiatry, University of Toronto, Toronto, ON M5G 1L5, Canada;
| | - Paula K. Schweitzer
- Sleep Medicine & Research Center, St. Lukes Hospital, 232 S. Woods Mill Road, Chesterfield, MO 63017, USA;
| | - Suresh Kotagal
- Department of Neurology, Mayo Clinic, 200 First St., Rochester, MN 55905, USA;
| | - Richard Bogan
- College of Medicine, Medical University of South Carolina, 171 Ashley Ave, Charleston, SC 29425, USA;
| | - Clete A. Kushida
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
| | - Yo-El S. Ju
- Department of Neurology, Washington University, St. Louis, MO 63110, USA;
- Hope Center for Neurological Disorders, Washington University, St. Louis, MO 63110, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University, 1600 S. Brentwood Blvd, St. Louis, MO 63144, USA
| | - Nayia Petousi
- Experimental Medicine Division, Nuffield Department of Medicine, University of Oxford, Headley Way, Headington, Oxford OX3 9DU, UK;
- National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Headley Way, Headington, Oxford OX3 9DU, UK;
- Oxford Centre for Respiratory Medicine, Oxford University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford OX3 9DU, UK
| | - Chris D. Turnbull
- National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Headley Way, Headington, Oxford OX3 9DU, UK;
- Oxford Centre for Respiratory Medicine, Oxford University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford OX3 9DU, UK
| | - Emmanuel Mignot
- Department of Psychiatry and Behavioral Sciences, Stanford University, 3165 Porter Drive, Stanford, CA 94304, USA; (K.L.J.C.); (U.H.); (V.P.S.); (J.H.); (E.B.L.); (L.D.S.); (L.L.); (J.Z.); (C.A.K.)
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Sleep disturbance as a predictor of time to drug and alcohol use treatment in primary care. Sleep Med 2018; 42:31-37. [PMID: 29458743 DOI: 10.1016/j.sleep.2017.12.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 11/21/2022]
Abstract
BACKGROUND Sleep Disturbances (SDs) are a symptom common to mental health disorders (MHD) and substance use disorders (SUD). We aimed to identify the value of SD as a predictor for subsequent treatment of illicit drug and alcohol use disorders (SUDs) in primary care and relative to the predictive value of mental health disorders (MHDs). METHODS We used electronic health records data from ambulatory primary care in a safety net Boston area healthcare system from 2013 to 2015 (n = 83,920). SUD (separated into illicit drug use disorder and alcohol use disorder) and MHD were identified through ICD-9 codes and medical record documentation. We estimated Cox proportional hazard models to examine the risk of SUD across four comparison groups (SD only, SD and MHD, MHD only, and neither SD nor MHD). RESULTS Compared to patients with no sleep or MHD, patients with SD had a greater risk for subsequent SUD treatment. Approximately one-fifth of patients with SD were treated for an illicit drug use disorder and approximately 12% were treated for alcohol use disorder. Risk for SUD treatment, estimated at over 30% by the end of the study, was greatest for patients with a MHD, either alone or comorbid with SD. Risk was greater for older patients and men, and lower for minority patients. CONCLUSIONS SD and MHD, individually and comorbid, significantly predict subsequent treatment of illicit drug and alcohol use disorder in primary care. Screening and evaluation for SD should be a routine practice in primary care to help with identifying potential SUD risk.
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