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Sun W, Wang ZX, Guo Y, Li C, Gao G, Wu FG. Iodine/soluble starch cryogel: An iodine-based antiseptic with instant water-solubility, improved stability, and potent bactericidal activity. Carbohydr Polym 2024; 340:122217. [PMID: 38857997 DOI: 10.1016/j.carbpol.2024.122217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/19/2024] [Accepted: 04/27/2024] [Indexed: 06/12/2024]
Abstract
Iodine (I2) as a broad-spectrum antiseptic has been widely used for treating bacterial infections. However, I2 has low water-solubility and sublimes under ambient conditions, which limits its practical antibacterial applications. The highly specific and sensitive reaction between I2 and starch discovered 200 years ago has been extensively applied in analytical chemistry, but the antibacterial activity of the I2-starch complex is rarely investigated. Herein, we develop a novel type of iodine-based antiseptics, iodine-soluble starch (I2-SS) cryogel, which can dissolve in water instantly and almost completely kill bacteria in 10 min at 2 μg/mL of I2. Although KI3 and the commercially available povidone‑iodine (I2-PVP) solutions show similar antibacterial efficacy, the high affinity of I2 to SS largely enhances the shelf stability of the I2-SS solution with ∼73 % I2 left after one-week storage at room temperature. In sharp contrast, ∼8.5 % and ∼2.5 % I2 are detected in KI3 and I2-PVP solutions, respectively. Mechanistic study reveals that the potent antibacterial effect of I2-SS originates from its attack on multiple bacterial targets. The outstanding antibacterial activity, capability of accelerating wound healing, and good biocompatibility of I2-SS are verified through further in vivo experiments. This work may promote the development of next-generation iodine-based antiseptics for clinical use.
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Affiliation(s)
- Wei Sun
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing 211189, PR China; Department of Chemistry, University of Michigan, 930 N. University Ave., Ann Arbor, MI 48109, USA.
| | - Zi-Xi Wang
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing 211189, PR China
| | - Yuxin Guo
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing 211189, PR China
| | - Chengcheng Li
- International Innovation Center for Forest Chemicals and Materials and Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, PR China
| | - Ge Gao
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing 211189, PR China
| | - Fu-Gen Wu
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing 211189, PR China.
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Devigili G, Straccia G, Cereda E, Garavaglia B, Fedeli A, Elia AE, Piacentini SHMJ, Prioni S, Amami P, Invernizzi F, Andreasi NG, Romito LM, Eleopra R, Cilia R. Unraveling Autonomic Dysfunction in GBA-Related Parkinson's Disease. Mov Disord Clin Pract 2023; 10:1620-1638. [PMID: 38026514 PMCID: PMC10654845 DOI: 10.1002/mdc3.13892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/13/2023] [Accepted: 09/08/2023] [Indexed: 12/01/2023] Open
Abstract
Background Patients with Parkinson's disease (PD) and GBA gene mutations (GBA-PD) develop nonmotor complications more frequently than noncarriers. However, an objective characterization of both cardiovascular and sudomotor autonomic dysfunction using extensive clinical and instrumental measures has never been provided so far. Survival is reduced in GBA-PD regardless of age and dementia, suggesting that other hitherto unrecognized factors are involved. Objectives To provide instrumental measures of pattern and severity of autonomic dysfunction in GBA-PD and explore their correlation with other non-motor symptoms and implications for clinical practice. Methods In this cross-sectional study, 21 GBA-PD and 24 matched PD noncarriers underwent extensive assessment of motor and non-motor features, including neuropsychological testing. Cardiovascular autonomic function was explored through a comprehensive battery of indexes, including power spectral analysis of the R-R intervals and blood pressure short-term variability during resting state and active maneuvers. Dynamic Sweat Test was used to assess post-ganglionic sudomotor dysfunction. Results Despite minimal or absent clinical correlates, cardiovagal and sympathetic indexes, heart rate variability parameters and sudomotor postganglionic function were more severely impaired in GBA-PD than noncarriers (overcoming relatively preserved compensatory peripheral sympathetic function), suggesting more prominent cardiac sympatho-vagal demodulation, efferent baroreflex failure and peripheral sympathetic dysfunction in GBA-PD. Cardiovascular dysautonomia showed marginal correlations with cognitive impairment. Conclusions Compared to PD noncarriers, GBA-PD display more severe instrumental autonomic abnormalities, which may be underestimated by purely clinical measures, despite their relevance on morbidity and mortality. This supports the necessity of implementing instrumental autonomic assessment in all GBA-PD, regardless of clinically overt symptoms.
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Affiliation(s)
- Grazia Devigili
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
| | - Giulia Straccia
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
- Neurology and Stroke UnitC.T.O. Hospital, A.O.R.N Ospedali dei ColliNaplesItaly
| | - Emanuele Cereda
- Clinical Nutrition and Dietetics UnitFondazione IRCCS Policlinico San MatteoPaviaItaly
| | - Barbara Garavaglia
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Unit of Medical Genetics and NeurogeneticsMilanItaly
| | - Alessandro Fedeli
- Neuropsychology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Antonio Emanuele Elia
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
| | | | - Sara Prioni
- Neuropsychology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Paolo Amami
- Neuropsychology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Federica Invernizzi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Unit of Medical Genetics and NeurogeneticsMilanItaly
| | - Nico Golfrè Andreasi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
| | - Luigi Michele Romito
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
| | - Roberto Eleopra
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
| | - Roberto Cilia
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Department of Clinical Neurosciences, Parkinson and Movement Disorders UnitMilanItaly
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3
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Newlin Lew K, Arnold T, Cantelmo C, Jacque F, Posada-Quintero H, Luthra P, Chon KH. Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies. J Diabetes Sci Technol 2022; 16:295-320. [PMID: 34994241 PMCID: PMC8861801 DOI: 10.1177/19322968211035375] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Diabetes distal symmetrical peripheral neuropathy (DSPN) is the most prevalent form of neuropathy in industrialized countries, substantially increasing risk for morbidity and pre-mature mortality. DSPN may manifest with small-fiber disease, large-fiber disease, or a combination of both. This review summarizes: (1) DSPN subtypes (small- and large-fiber disease) with attention to clinical signs and patient symptoms; and (2) technological diagnosis and screening for large- and small-fiber disease with inclusion of a comprehensive literature review of published studies from 2015-present (N = 66). Review findings, informed by the most up-to-date research, advance critical understanding of DSPN large- and small-fiber screening technologies, including those designed for point-of-care use in primary care and endocrinology practices.
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Affiliation(s)
- Kelley Newlin Lew
- School of Nursing, University of
Connecticut (UConn), Storrs, CT, USA
- Kelley Newlin Lew, School of Nursing,
University of Connecticut (UConn), 231 Glenbrook Road, Storrs, CT 06269, USA.
| | - Tracey Arnold
- School of Nursing, University of
Connecticut (UConn), Storrs, CT, USA
| | | | - Francky Jacque
- Hispanic Alliance of Southeastern
Connecticut, New London, CT, USA
| | - Hugo Posada-Quintero
- Biomedical Engineering Department,
University of Connecticut (UConn), Storrs, CT, USA
| | - Pooja Luthra
- Division of Endocrinology and
Metabolism, UConn Health, Farmington, CT, USA
| | - Ki H. Chon
- Biomedical Engineering Department,
University of Connecticut (UConn), Storrs, CT, USA
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Schlereth T, Morellini N, Lismont NCAM, Lemper C, Birklein F, Drummond PD. Alpha 1 adrenoceptor expression in skin, nerves and blood vessels of patients with painful diabetic neuropathy. Auton Neurosci 2021; 234:102814. [PMID: 33964567 DOI: 10.1016/j.autneu.2021.102814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 03/15/2021] [Accepted: 04/26/2021] [Indexed: 11/17/2022]
Abstract
Diabetic neuropathy (dNP) patients often suffer from severe neuropathic pain. It was suggested that alpha-1 adrenoceptor (α1-AR) hyperresponsiveness contributes to pain in dNP. The aim of our study was to quantify α1-AR expression using immunohistochemistry in skin biopsies of nine patients with painful diabetic neuropathy compared to 10 healthy controls. Additionally, the association between α1-AR expression and activation with spontaneous and sympathetically maintained pain (SMP) induced by intradermal injection of the α1-agonist phenylephrine was investigated. For control purposes the α2-agonist clonidine was injected in a different session. We found that dermal nerve density was significantly lower in dNP than in controls. However, α1-AR expression was significantly greater on cutaneous blood vessels and keratinocytes of dNP patients than controls. A similar trend, which failed to reach significance, was observed for dermal nerves. Intradermal injection of phenylephrine induced only minor pain, which resolved after a few minutes. Adrenergically evoked pain persisted for more than 15 min in only one patient, but none of the patients fulfilled the criteria for SMP (pain increase after injection of phenylephrine and decrease after clonidine). In conclusion, our results imply that SMP does not occur in dNP. However, elevated expression of α1-AR on keratinocytes and dermal blood vessels is an important finding, since this could contribute to dNP progression and supports the theory of receptor up-regulation of denervated structures. The implications of this α1-upregulation should be examined in further studies.
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Affiliation(s)
- Tanja Schlereth
- DKD Helios Klinik Wiesbaden, Department of Neurology, Aukammallee 33, 65191 Wiesbaden, Germany; University Medical Centre of the Johannes Gutenberg-University Mainz, Department of Neurology, Langenbeckstrasse 1, 55131 Mainz, Germany.
| | - Natalie Morellini
- College of Science, Health, Engineering and Education, Murdoch University, Perth, Western Australia, Australia
| | - Noémie C A M Lismont
- University Medical Centre of the Johannes Gutenberg-University Mainz, Department of Neurology, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Cassandra Lemper
- University Medical Centre of the Johannes Gutenberg-University Mainz, Department of Neurology, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Frank Birklein
- University Medical Centre of the Johannes Gutenberg-University Mainz, Department of Neurology, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Peter D Drummond
- College of Science, Health, Engineering and Education, Murdoch University, Perth, Western Australia, Australia
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Kuronen M, Myllymäki M, Loavenbruck A, Särkkä A. Point process models for sweat gland activation observed with noise. Stat Med 2021; 40:2055-2072. [PMID: 33517587 DOI: 10.1002/sim.8891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/07/2020] [Accepted: 01/06/2021] [Indexed: 11/11/2022]
Abstract
The aim of this article is to construct spatial models for the activation of sweat glands for healthy subjects and subjects suffering from peripheral neuropathy by using videos of sweating recorded from the subjects. The sweat patterns are regarded as realizations of spatial point processes and two point process models for the sweat gland activation and two methods for inference are proposed. Several image analysis steps are needed to extract the point patterns from the videos and some incorrectly identified sweat gland locations may be present in the data. To take into account the errors, we either include an error term in the point process model or use an estimation procedure that is robust with respect to the errors.
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Affiliation(s)
- Mikko Kuronen
- Natural Resources Institute Finland (LUKE), Helsinki, Finland
| | - Mari Myllymäki
- Natural Resources Institute Finland (LUKE), Helsinki, Finland
| | - Adam Loavenbruck
- Department of Neurology, Kennedy Laboratory, University of Minnesota, Minneapolis, Minnesota, USA
| | - Aila Särkkä
- Department of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Gothenburg, Sweden
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