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Xu K, Duan S, Wang W, Ouyang Q, Qin F, Guo P, Hou J, He Z, Wei W, Qin M. Nose-to-brain delivery of nanotherapeutics: Transport mechanisms and applications. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1956. [PMID: 38558503 DOI: 10.1002/wnan.1956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 03/02/2024] [Accepted: 03/05/2024] [Indexed: 04/04/2024]
Abstract
The blood-brain barrier presents a key limitation to the administration of therapeutic molecules for the treatment of brain disease. While drugs administered orally or intravenously must cross this barrier to reach brain targets, the unique anatomical structure of the olfactory system provides a route to deliver drugs directly to the brain. Entering the brain via receptor, carrier, and adsorption-mediated transcytosis in the nasal olfactory and trigeminal regions has the potential to increase drug delivery. In this review, we introduce the physiological and anatomical structures of the nasal cavity, and summarize the possible modes of transport and the relevant receptors and carriers in the nose-to-brain pathway. Additionally, we provide examples of nanotherapeutics developed for intranasal drug delivery to the brain. Further development of nanoparticles that can be applied to intranasal delivery systems promises to improve drug efficacy and reduce drug resistance and adverse effects by increasing molecular access to the brain. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease.
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Affiliation(s)
- Kunyao Xu
- Institute of Medical Biology, Chinese Academy of Medical Sciences, Medical Primate Research Center & Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research Development on Severe Infectious Disease, Kunming, China
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Suqin Duan
- Institute of Medical Biology, Chinese Academy of Medical Sciences, Medical Primate Research Center & Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research Development on Severe Infectious Disease, Kunming, China
| | - Wenjing Wang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Beijing, China
| | - Qiuhong Ouyang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Feng Qin
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Peilin Guo
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Beijing, China
| | - Jinghan Hou
- Institute of Medical Biology, Chinese Academy of Medical Sciences, Medical Primate Research Center & Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research Development on Severe Infectious Disease, Kunming, China
| | - Zhanlong He
- Institute of Medical Biology, Chinese Academy of Medical Sciences, Medical Primate Research Center & Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research Development on Severe Infectious Disease, Kunming, China
| | - Wei Wei
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Beijing, China
| | - Meng Qin
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Czerwaty K, Piszczatowska K, Brzost J, Ludwig N, Szczepański MJ, Dżaman K. Immunological Aspects of Chronic Rhinosinusitis. Diagnostics (Basel) 2022; 12:diagnostics12102361. [PMID: 36292050 PMCID: PMC9600442 DOI: 10.3390/diagnostics12102361] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 11/16/2022] Open
Abstract
Chronic rhinosinusitis (CRS) is related to persistent inflammation with a dysfunctional relationship between environmental agents and the host immune system. Disturbances in the functioning of the sinus mucosa lead to common clinical symptoms. The major processes involved in the pathogenesis of CRS include airway epithelial dysfunctions that are influenced by external and host-derived factors which activate multiple immunological mechanisms. The molecular bases for CRS remain unclear, although some factors commonly correspond to the disease: bacterial, fungal and viral infections, comorbidity diseases, genetic dysfunctions, and immunodeficiency. Additionally, air pollution leads increased severity of symptoms. CRS is a heterogeneous group of sinus diseases with different clinical courses and response to treatment. Immunological pathways vary depending on the endotype or genotype of the patient. The recent knowledge expansion into mechanisms underlying the pathogenesis of CRS is leading to a steadily increasing significance of precision medicine in the treatment of CRS. The purpose of this review is to summarize the current state of knowledge regarding the immunological aspects of CRS, which are essential for ensuring more effective treatment strategies.
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Affiliation(s)
- Katarzyna Czerwaty
- Department of Otolaryngology, The Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
| | | | - Jacek Brzost
- The Children’s Memorial Health Institute, 04-730 Warsaw, Poland
| | - Nils Ludwig
- Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Mirosław J. Szczepański
- Department of Otolaryngology, The Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
- Department of Biochemistry, Medical University of Warsaw, 02-097 Warsaw, Poland
- Correspondence:
| | - Karolina Dżaman
- Department of Otolaryngology, The Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
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Clinical potential of pupillary light reflex parameters as objective indicators reflecting chronic rhinosinusitis-specific quality of life: a 12-month prospective longitudinal study. Sci Rep 2021; 11:21586. [PMID: 34732808 PMCID: PMC8566598 DOI: 10.1038/s41598-021-01153-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/25/2021] [Indexed: 11/09/2022] Open
Abstract
Pupillary light reflex (PLR) and heart rate variability (HRV) parameters can be objective indicators of chronic rhinosinusitis (CRS) status from the viewpoint of autonomic nervous system activity. This study aimed to establish objective indicators for CRS using the 22-item Sino-Nasal Outcome Test (SNOT-22) and PLR/HRV parameters. Sixty-seven patients were prospectively and longitudinally followed up after surgical treatment. We investigated changes in SNOT-22 scores, representing CRS-specific quality of life (QOL). We prepared two models: linear regression model adjusting clinical factors as predictor variables (model 1) and linear mixed-effects model adjusting clinical factors and among-individual variability (model 2). We compared Akaike's information criterion (AIC) values and regression coefficients. The model with lower AIC values was defined as the better-fit model. Model 2 showed lower AIC values in all parameters (better-fit model). Three parameters showed opposite results between the two models. The better-fit models showed significances in the five PLR parameters but not in any HRV parameters. Among these PLR parameters, constriction latency can be the most robust indicator because of the narrowest 95% confidence intervals. Adjusting the among-individual variability while investigating clinical potential of PLR/HRV parameters to reflect CRS-specific QOL can improve the model fit, thereby reaching robust conclusions from obtained data.
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Nakayama T, Okada N, Yoshikawa M, Asaka D, Kuboki A, Kojima H, Tanaka Y, Haruna SI. Assessment of suitable reference genes for RT-qPCR studies in chronic rhinosinusitis. Sci Rep 2018; 8:1568. [PMID: 29371606 PMCID: PMC5785529 DOI: 10.1038/s41598-018-19834-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 01/09/2018] [Indexed: 11/09/2022] Open
Abstract
Reverse transcription–quantitative polymerase chain reaction is a valuable and reliable method for gene quantification. Target gene expression is usually quantified by normalization using reference genes (RGs), and accurate normalization is critical for producing reliable data. However, stable RGs in nasal polyps and sinonasal tissues from patients with chronic rhinosinusitis (CRS) have not been well investigated. Here, we used a two-stage study design to identify stable RGs. We assessed the stability of 15 commonly used candidate RGs using five programs—geNorm, NormFinder, BestKeeper, ΔCT, and RefFinder. Ribosomal protein lateral stalk subunit P1 (RPLP1) and ribosomal protein lateral stalk subunit P0 (RPLP0) were the two most stable RGs in the first stage of the study, and these results were validated in the second stage. The commonly used RGs β-actin (ACTB) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) were unstable according to all of the algorithms used. The findings were further validated via relative quantification of IL-5, CCL11, IFN-γ, and IL-17A using the stable and unstable RGs. The relative expression levels varied greatly according to normalization with the selected RGs. Appropriate selection of stable RGs will allow more accurate determination of target gene expression levels in patients with CRS.
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Affiliation(s)
- Tsuguhisa Nakayama
- Department of Otorhinolaryngology, Jikei University School of Medicine, Tokyo, Japan.
| | - Naoko Okada
- Department of Allergy and Immunology, National Research Institute of Child Health and Development, Tokyo, Japan
| | - Mamoru Yoshikawa
- Department of Otorhinolaryngology, Toho University, Tokyo, Japan
| | - Daiya Asaka
- Department of Otorhinolaryngology, Jikei University School of Medicine, Tokyo, Japan
| | - Akihito Kuboki
- Department of Otorhinolaryngology, Jikei University School of Medicine, Tokyo, Japan
| | - Hiromi Kojima
- Department of Otorhinolaryngology, Jikei University School of Medicine, Tokyo, Japan
| | - Yasuhiro Tanaka
- Department of Otorhinolaryngology Head and Neck Surgery, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan
| | - Shin-Ichi Haruna
- Department of Otorhinolaryngology Head and Neck Surgery, Dokkyo Medical University, Tochigi, Japan
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