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Goswami A, Ruhina Rahman SN, Ponneganti S, Gangipangi V, Vavialala H, Radhakrishnanand P, Selvaraju S, Mutheneni SR, Bharti S, Shunmugaperumal T. Intratympanic injections of emulsion-like dispersions to augment cinnarizine amount in a healthy rabbit inner ear model. Nanomedicine (Lond) 2024; 19:1717-1741. [PMID: 39041668 PMCID: PMC11418292 DOI: 10.1080/17435889.2024.2373042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/24/2024] [Indexed: 07/24/2024] Open
Abstract
Aim: To investigate eutectic liquid-based emulsion-like dispersions for intratympanic injections to augment cinnarizine permeability across round window membrane in a healthy rabbit inner ear model.Methods: Two-tier systematic optimization was used to get the injection formula. The drug concentrations in perilymph and plasma were analyzed via. Ultra-performance liquid chromatography-tandem mass spectrometry method after 30-, 60-, 90- and 120-min post intratympanic injection time points in rabbits.Results: A shear-thinning behavior, immediate drug release (∼98.80%, 10 min) and higher cell viability (>97.86%, 24 h) were observed in dispersions. The cinnarizine level of 8168.57 ± 1236.79 ng/ml was observed in perilymph at 30 min post intratympanic injection in rabbits.Conclusion: The emulsion-like dispersions can augment drug permeability through round window membrane.
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Affiliation(s)
- Abhinab Goswami
- Department of Pharmaceutics, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
| | - Syed Nazrin Ruhina Rahman
- Department of Pharmaceutics, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
| | - Srikanth Ponneganti
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
| | - Vijayakumar Gangipangi
- Department of Biotechnology, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
| | - Hariprasad Vavialala
- Bioinformatics Group, Applied Biology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, Telangana500007, India
| | - Pullapanthula Radhakrishnanand
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
| | - Sudhagar Selvaraju
- Department of Biotechnology, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
| | - Srinivasa Rao Mutheneni
- Bioinformatics Group, Applied Biology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, Telangana500007, India
| | - Shreekant Bharti
- Department of Pathology/Lab Medicine, All India Institute of Medical Sciences Patna, Phulwarisarif, Patna, Bihar801507, India
| | - Tamilvanan Shunmugaperumal
- Department of Pharmaceutics, National Institute of Pharmaceutical Education & Research- Guwahati, Sila Katamur (Halugurisuk), Changsari, Kamrup, Assam781101, India
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Cao X, Zhou Y, Li T, Wang C, Wu P. Symptom networks analysis among people with Meniere's disease: Application for nursing care. Int J Nurs Sci 2024; 11:214-221. [PMID: 38707681 PMCID: PMC11064586 DOI: 10.1016/j.ijnss.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 02/29/2024] [Accepted: 03/08/2024] [Indexed: 05/07/2024] Open
Abstract
Objectives This study aimed to explore and visualize the relationships among multiple symptoms in patients with Meniere's disease (MD) and aid clinical nurses in the design of accurate, individualized interventions. Methods This study included 790 patients with MD at the Eye and ENT Hospital of Fudan University from October 2014 to December 2021. A self-designed symptom checklist was used to assess 15 MD-related symptoms and construct contemporaneous networks with all 15 symptoms in R software. Qgraph package and Fruchterman-Reingold layout were used for network visualization. Bootstrapping methods were performed to assess network accuracy and stability, and three centrality indices were adopted to describe relationships among symptoms. Results Symptom networks showed good accuracy and stability. "Anxiety and nervousness"(98.2%), "aural fullness"(84.4%) and "tinnitus"(82.7%) were the common symptom in MD patients, while "tinnitus", "aural fullness" and "decline in word recognition", were more serious. MD patients with longer disease duration had higher prevalence and severity for all symptoms (P < 0.05). Symptom networks showed good accuracy and stability. "Decline in word recognition," "fatigue," and "anxiety and nervousness" were at the center of the symptom networks, which had the largest strength values and closeness. "Decline in word recognition," "headache," and "spatial discrimination and poor orientation" were the symptoms with the highest betweenness with the strongest bridging effect. The ≥1-year disease group exhibited higher centralities for "drop attack" and "anxiety and nervousness," and a lower centrality for "headache" compared with the <1-year disease group. Conclusions The symptom networks of MD patients with varying disease durations were revealed. Clinicians and nurses must provide precision interventions tailored to modifying symptom severity and centrality. Nursing interventions should focus on word recognition issues and associated discomfort in MD patients with multiple symptoms.
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Affiliation(s)
- Xuejiao Cao
- School of Nursing, Fudan University, Shanghai, China
| | - Yue Zhou
- Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Tang Li
- Business School, Nanjing University, Nanjing, China
| | - Chennan Wang
- School of Nursing, Fudan University, Shanghai, China
| | - Peixia Wu
- Department of Nursing, Eye and ENT Hospital of Fudan University, Shanghai, China
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Liu S, Zhang L, Luo W. Causality between alcohol usually taken with meals and Meniere disease: A 2-sample Mendelian randomization study. Medicine (Baltimore) 2024; 103:e37209. [PMID: 38363938 PMCID: PMC10869042 DOI: 10.1097/md.0000000000037209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/18/2024] [Indexed: 02/18/2024] Open
Abstract
The recurrence of Meniere disease (MD) strongly affects patient quality of life. Identifying the risk factors for MD is highly important for its prevention and treatment. Previous studies have suggested that alcohol intake may play a role in the development of MD. However, recent studies have shown that the causal relationship between alcohol consumption and MD remains controversial. In this paper, the Mendelian randomization (MR) method was used to determine the causal relationship between alcohol consumption usually consumed with meals and MD, with the aim of providing suggestions for alcohol intake management in individuals with MD and helping in the prevention and treatment of MD. Two-sample MR was used to investigate the causal relationship between alcohol usually taken with meals and MD. We used a dataset from a publicly available large-scale genome-wide association study (GWAS). Inverse variance weighting (IVW), MR-Egger, simple weighting, weighted weighting and the weighted median method were used for analysis. The final results showed that IVW (OR = 0.991, 95% CI: 0.983-0.998, P = .016) results suggested that there was statistical significance, but MR-Egger (OR = 0.978, 95% CI: 0.886-1.080, P = .679), weighted median methods (OR = 0.994, 95% CI: 0.985-1.004, P = .307) and Simple mode (OR = 0.995, 95% CI: 0.980-1.010, P = .566), Weighted mode (OR = 0.995, 95% CI: 0.981-1.010, P = .557) found no significant causal relationship. The results suggest that alcohol usually taken with meals may be negatively correlated with MD.
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Affiliation(s)
- Shihan Liu
- Department of Otorhinolaryngology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lingli Zhang
- Department of Otorhinolaryngology, Central Hospital Affiliated to Chongqing University of Technology, Chongqing, China
| | - Wenlong Luo
- Department of Otorhinolaryngology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Mohseni-Dargah M, Falahati Z, Pastras C, Khajeh K, Mukherjee P, Razmjou A, Stefani S, Asadnia M. Meniere's disease: Pathogenesis, treatments, and emerging approaches for an idiopathic bioenvironmental disorder. ENVIRONMENTAL RESEARCH 2023; 238:116972. [PMID: 37648189 DOI: 10.1016/j.envres.2023.116972] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/10/2023] [Accepted: 08/22/2023] [Indexed: 09/01/2023]
Abstract
Meniere's disease (MD) is a severe inner ear condition known by debilitating symptoms, including spontaneous vertigo, fluctuating and progressive hearing loss, tinnitus, and aural fullness or pressure within the affected ear. Prosper Meniere first described the origins of MD in the 1860s, but its underlying mechanisms remain largely elusive today. Nevertheless, researchers have identified a key histopathological feature called Endolymphatic Hydrops (ELH), which refers to the excessive buildup of endolymph fluid in the membranous labyrinth of the inner ear. The exact root of ELH is not fully understood. Still, it is believed to involve several biological and bioenvironmental etiological factors such as genetics, autoimmunity, infection, trauma, allergy, and new theories, such as saccular otoconia blocking the endolymphatic duct and sac. Regarding treatment, there are no reliable and definitive cures for MD. Most therapies focus on managing symptoms and improving the overall quality of patients' life. To make significant advancements in addressing MD, it is crucial to gain a fundamental understanding of the disease process, laying the groundwork for more effective therapeutic approaches. This paper provides a comprehensive review of the pathophysiology of MD with a focus on old and recent theories. Current treatment strategies and future translational approaches (with low-level evidence but promising results) related to MD are also discussed, including patents, drug delivery, and nanotechnology, that may provide future benefits to patients suffering from MD.
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Affiliation(s)
- Masoud Mohseni-Dargah
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia; Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Zahra Falahati
- Department of Biological Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran
| | - Christopher Pastras
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia; The Meniere's Laboratory, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Khosro Khajeh
- Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Payal Mukherjee
- RPA Institute of Academic Surgery, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Amir Razmjou
- Centre for Technology in Water and Wastewater, University of Technology Sydney, New South Wales 2007, Australia
| | - Sebastian Stefani
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia
| | - Mohsen Asadnia
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
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Jiam NT, Chern A, Watson J, Naples JG. Lyrical Trends: An Analysis of Music's (Mis) Use of Vertigo. Otol Neurotol 2023; 44:619-625. [PMID: 37254262 DOI: 10.1097/mao.0000000000003912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND Popular culture and music have long served as windows into the common attitudes, trends, and issues of the time. The representation of vertigo in music has not been previously explored. The objective of this study was to analyze the portrayal of vertigo in music through content and sentiment analysis of song lyrics. METHODS A large song lyric database was queried to identify English language song titles containing the word "vertigo." A sentiment and content analysis of the lyrics was performed to delineate the most frequently used words, the accuracy of vertigo depictions, and emotional valence (i.e., the ratio of positive to negative references to vertigo). RESULTS Between 1969 and 2022, there were a total of 54 songs specifically titled "Vertigo." Most songs (73%) portrayed vertigo negatively, and the prevalence of negative sentiment within music increased with each decade. The three most common words being used in association with vertigo within music were "feel" (n = 97), "love" (n = 66), and "falling" (n = 57). In early decades, songs using the word vertigo misrepresented the condition and associated perceptions relative to common medical understanding. In more recent decades, vertigo was used in a way more representative of medical interpretations. CONCLUSION The depiction of vertigo in songs has changed over time, and more recently, usage has reflected Bárány Society definitions. Interestingly, the negative sentiment has also increased with time. This work provides a lyrical analysis of vertigo that may improve physician understanding of the cultural usage of this challenging symptom.
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Affiliation(s)
- Nicole T Jiam
- Department of Otolaryngology- Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA
| | | | - Jowan Watson
- School of Medicine; Harvard Medical School, Boston, MA
| | - James G Naples
- Department of Otolaryngology & Head and Neck Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
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Bakdounes A, Akashe N, Alchallah MO, Alolabi H, Bakdounes D, Mohsen F, Darjazini Nahas L. Prevalence of Ménière's Disease in Syrian Patients with hypothyroidism: Cross-sectional study. Ann Med Surg (Lond) 2022; 81:104405. [PMID: 36147122 PMCID: PMC9486646 DOI: 10.1016/j.amsu.2022.104405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/07/2022] [Accepted: 08/12/2022] [Indexed: 11/21/2022] Open
Abstract
Background Ménière's Disease, a long-term debilitating disorder has been increasingly found among patients with hypothyroidism. Our study aims to evaluate the prevalence of ménière's disease among hypothyroid patients and assess the interrelationship between patients' symptomology and ménière's disease. Materials and methods A cross-sectional study was performed at the endocrinology clinics at Damascus Hospital and Syrian Red Crescent Hospital, Damascus, Syria between September 2021 and January 2022. Patients with hypothyroidism were interviewed using a questionnaire. The questionnaire contained questions about socio-demographic information, hypothyroid history, diagnostic criteria of ménière's disease, chief complaint, medical history, and lab test results. Patients, who reported ménière's disease symptoms, were referred to the otorhinolaryngology clinic for confirmation or exclusion of ménière's disease. At the clinic, patients underwent an otoscopy and a pure tone audiometry, probable and definite ménière's disease was diagnosed accordingly. Results Of 217 hypothyroid patients included in the sample, 17 (7.8%) were diagnosed with definite ménière's disease and 31 (14.3%) were diagnosed with probable ménière's disease. Hypothyroid symptoms reported among patients diagnosed with definite ménière's disease compared to no diagnosis differed by feeling low (χ2 (1, 217) = 4.014, p = 0.045), and depressive appearance (χ2 (1, 217) = 8.887, p = 0.003). Patients diagnosed with definite ménière's disease, probable ménière's disease, and both definite and probable ménière's disease were more likely to report that their symptoms affected their lifestyle compared to those that reported no effect (χ2 (3, 217) = 62.565, p < 0.001), (χ2 (3, 217) = 31.380, p < 0.001), and (χ2 (3, 217) = 35.542, p < 0.001), respectively. Conclusion A high number of hypothyroid patients were diagnosed with MD. Clinicians should consider clinically screening for MD among hypothyroid patients presenting to clinics. This study shows a significant association between hypothyroidism and Ménière's disease. Rates of feeling low and depressive appearance increase in definite MD patients. Meniere's disease patients were predisposed to the disease's effect on their lifestyle.
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Joung WJ. [Qualitative Study on the Experience of Patients with Meniere Disease]. J Korean Acad Nurs 2020; 50:699-713. [PMID: 33142301 DOI: 10.4040/jkan.20115] [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: 05/06/2020] [Revised: 08/04/2020] [Accepted: 08/06/2020] [Indexed: 11/09/2022]
Abstract
PURPOSE The purpose of this study was to understand and describe the experiences of patients with Meniere disease. METHODS Data were collected from February 19, 2019, to February 5, 2020, through individual in-depth interviews with 13 Meniere patients. Verbatim transcripts were analyzed using Colaizzi's phenomenological analysis. RESULTS The experiences of patients with Meniere disease were clustered into the following four themes from 22 meaning units: 1) Complex unfamiliar symptoms that shatter both balance of the body and peace of the heart; 2) A disease that health professionals and medical treatment cannot cure; 3) Suffering hardships that cannot be understood by non-Meniere's sufferers; and 4) Making daily efforts to become healthier. Meniere's symptoms are life-shattering and depressing because they are neither visible nor easily curable. Over time, as they accepted the reality of living with the disease, the participants would shift their focus from complete symptomatic cure to leading a healthy and more balanced life. CONCLUSION This study shows that Meniere disease has a pervasive impact on all aspects of the patients' lives. Patients are prone to experiencing restrictions in their social functioning and activities. They also experience psychosocial problems due to the unseen nature of their symptoms. This study elucidates the experiences of Meniere patients and the need for nursing intervention to help improve their quality of life and ability to self-manage. Lastly, this study shows the need for a coordinated interdisciplinary approach to raising public awareness of the disease.
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Affiliation(s)
- Woo Joung Joung
- College of Nursing, Kyungpook National University, Daegu, Korea.
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Palacios G, Noreña A, Londero A. Assessing the Heterogeneity of Complaints Related to Tinnitus and Hyperacusis from an Unsupervised Machine Learning Approach: An Exploratory Study. Audiol Neurootol 2020; 25:174-189. [DOI: 10.1159/000504741] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/12/2019] [Indexed: 11/19/2022] Open
Abstract
Introduction: Subjective tinnitus (ST) and hyperacusis (HA) are common auditory symptoms that may become incapacitating in a subgroup of patients who thereby seek medical advice. Both conditions can result from many different mechanisms, and as a consequence, patients may report a vast repertoire of associated symptoms and comorbidities that can reduce dramatically the quality of life and even lead to suicide attempts in the most severe cases. The present exploratory study is aimed at investigating patients’ symptoms and complaints using an in-depth statistical analysis of patients’ natural narratives in a real-life environment in which, thanks to the anonymization of contributions and the peer-to-peer interaction, it is supposed that the wording used is totally free of any self-limitation and self-censorship. Methods: We applied a purely statistical, non-supervised machine learning approach to the analysis of patients’ verbatim exchanged on an Internet forum. After automated data extraction, the dataset has been preprocessed in order to make it suitable for statistical analysis. We used a variant of the Latent Dirichlet Allocation (LDA) algorithm to reveal clusters of symptoms and complaints of HA patients (topics). The probability of distribution of words within a topic uniquely characterizes it. The convergence of the log-likelihood of the LDA-model has been reached after 2,000 iterations. Several statistical parameters have been tested for topic modeling and word relevance factor within each topic. Results: Despite a rather small dataset, this exploratory study demonstrates that patients’ free speeches available on the Internet constitute a valuable material for machine learning and statistical analysis aimed at categorizing ST/HA complaints. The LDA model with K = 15 topics seems to be the most relevant in terms of relative weights and correlations with the capability to individualizing subgroups of patients displaying specific characteristics. The study of the relevance factor may be useful to unveil weak but important signals that are present in patients’ narratives. Discussion/Conclusion: We claim that the LDA non-supervised approach would permit to gain knowledge on the patterns of ST- and HA-related complaints and on patients’ centered domains of interest. The merits and limitations of the LDA algorithms are compared with other natural language processing methods and with more conventional methods of qualitative analysis of patients’ output. Future directions and research topics emerging from this innovative algorithmic analysis are proposed.
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