Cerebrospinal fluid proteomics in meningitis patients with reactivated varicella zoster virus

Liu, Huili; Wang, Jun; Zhang, Yan; Gu, Jing; Wang, Yu; Yan, Yongxing; Pan, Dongli; Sun, Zeyu

doi:10.1002/iid3.1038

Cited by 4 publications

(3 citation statements)

References 48 publications

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“…Our study demonstrated elevated serum levels of neurospecific enolase in patients with PHN, potentially indicating the influence of the herpes zoster virus on the central or peripheral nervous system. Peripheral nerve damage caused by the herpes zoster virus is unquestionable, and numerous studies have reported various aspects of herpes zoster virus affecting the central nervous system [ 45 – 47 ]. The specific underlying mechanism remains unclear and requires further validation through rigorous biological experiments.…”

Section: Discussionmentioning

confidence: 99%

Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study

Lin,

Yu,

Pan

et al. 2024

Pain Ther

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Introduction Postherpetic neuralgia (PHN), a complication of herpes zoster, significantly impacts the quality of life of affected patients. Research indicates that early intervention for pain can reduce the occurrence or severity of PHN. This study aims to develop a predictive model and scoring table to identify patients at risk of developing PHN following acute herpetic neuralgia, facilitating informed clinical decision-making. Methods We conducted a retrospective review of 524 hospitalized patients with herpes zoster at The First Affiliated Hospital of Zhejiang Chinese Medical University from December 2020 to December 2023 and classified them according to whether they had PHN, collecting a comprehensive set of 30 patient characteristics and disease-related indicators, 5 comorbidity indicators, 2 disease score values, and 10 serological indicators. Relevant features associated with PHN were identified using the least absolute shrinkage and selection operator (LASSO). Then, the patients were divided into a training set and a test set in a 4:1 ratio, with comparability tested using univariate analysis. Six models were established in the training set using machine learning methods: support vector machines, logistic regression, random forest, k-nearest neighbor, gradient boosting, and neural network. The performance of these models was evaluated in the test set, and a nomogram based on logistic regression was used to create a PHN prediction score table. Results Eight non-zero characteristic variables selected from the LASSO regression results were included in the model, including age [area under the curve (AUC) = 0.812, p < 0.001], Numerical Rating Scale (NRS) (AUC = 0.792, p < 0.001), receiving treatment time (AUC = 0.612, p < 0.001), rash recovery time (AUC = 0.680, p < 0.001), history of malignant tumor (AUC = 0.539, p < 0.001), history of diabetes (AUC = 0.638, p < 0.001), varicella-zoster virus immunoglobulin M (AUC = 0.620, p < 0.001), and serum nerve-specific enolase (AUC = 0.659, p < 0,001). The gradient boosting model outperformed other classifier models on the test set with an AUC of 0.931, 95% confidence interval (CI) (0.882–0.980), accuracy of 0.886 (95% CI 0.809–0.940). In the test set, our predictive scoring table achieved an AUC of 0.820 (95% CI 0.869–0.970) with accuracy of 0.790 (95% CI 0.700–0.864). Conclusion This study presents a methodology for predicting the development of postherpetic neuralgia in shingles patients by analyzing historical case data, employing various machine learning techniques, and selecting the optimal model through comparative analysis. In addition, a logistic regression model has been used to create a scoring table for predicting the postherpetic neuralgia. ...

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Section: Discussionmentioning

confidence: 99%

Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study

Lin,

Yu,

Pan

et al. 2024

Pain Ther

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“…44 NFKBIZ is an important regulator in the NF-κB signaling pathway and is involved in the activation of immune pathways that regulate inflammation cell survival. 45 Genes such as CSF2 46 and PRTN3 47 may also play a regulatory role in the immune system, participating in some aspects of the host defense mechanisms. Therefore, BAPN-1 may play a positive role in enhancing immune activity while exerting its antitumor effects.…”

Section: Homogeneity and Chemical Analysis Of Bapn-1mentioning

confidence: 99%

Exploring the Health Benefits of Boletus aereus Polysaccharides: Extraction, Structural Characterization, and Antiproliferative Properties against Non-Hodgkin’s Lymphomas (NHLs)

Wang,

Yang,

Qiu

et al. 2024

J. Agric. Food Chem.

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Boletus aereus Fr. ex Bull. stands out as a delectable edible mushroom with high nutritional and medicinal values, featuring polysaccharides as its primary nutrient composition. In our continuous exploration of its beneficial substances, a novel polysaccharide (BAPN-1) with a molecular weight of 2279 kDa was prepared. It was identified as a glucan with a backbone composed of the residues →4)-α-Glcp-(1→ and →4,6)-α-Glcp-(1→ connected in a proportion of 5:1 and a β-Glcp-(1→ side residue attached at C6 of the →4,6)-α-Glcp-(1→ residue. Biologically, BAPN-1 exhibited broad-spectrum antiproliferative activities against various NHL cells,

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“…17 Viral reactivation is prevented and VZV infection is managed over the long term by the adaptive immune response, which is mediated by B and T cells. 18 VZV-specific T cells are produced during initial infection and can identify and eliminating virus-infected cells.…”

Section: Introductionmentioning

confidence: 99%

Varicella‐zoster virus‐related neurological complications: From infection to immunomodulatory therapies

Hakami,

Khan,

Abdulaziz

et al. 2024

Reviews in Medical Virology

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The Varicella‐zoster virus (VZV), classified as a neurotropic member of the Herpesviridae family, exhibits a characteristic pathogenicity, predominantly inducing varicella, commonly known as chickenpox, during the initial infectious phase, and triggering the reactivation of herpes zoster, more commonly recognized as shingles, following its emergence from a latent state. The pathogenesis of VZV‐associated neuroinflammation involves a complex interplay between viral replication within sensory ganglia and immune‐mediated responses that contribute to tissue damage and dysfunction. Upon primary infection, VZV gains access to sensory ganglia, establishing latent infection within neurons. During reactivation, the virus can spread along sensory nerves, triggering a cascade of inflammatory mediators, chemokines, and immune cell infiltration in the affected neural tissues. The role of both adaptive and innate immune reactions, including the contributions of T and B cells, macrophages, and dendritic cells, in orchestrating the immune‐mediated damage in the central nervous system is elucidated. Furthermore, the aberrant activation of the natural defence mechanism, characterised by the dysregulated production of immunomodulatory proteins and chemokines, has been implicated in the pathogenesis of VZV‐induced neurological disorders, such as encephalitis, myelitis, and vasculopathy. The intricate balance between protective and detrimental immune responses in the context of VZV infection emphasises the necessity for an exhaustive comprehension of the immunopathogenic mechanisms propelling neuroinflammatory processes. Despite the availability of vaccines and antiviral therapies, VZV‐related neurological complications remain a significant concern, particularly in immunocompromised individuals and the elderly. Elucidating these mechanisms might facilitate the emergence of innovative immunomodulatory strategies and targeted therapies aimed at mitigating VZV‐induced neuroinflammatory damage and improving clinical outcomes. This comprehensive understanding enhances our grasp of viral pathogenesis and holds promise for pioneering therapeutic strategies designed to mitigate the neurological ramifications of VZV infections.

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Cerebrospinal fluid proteomics in meningitis patients with reactivated varicella zoster virus

Cited by 4 publications

References 48 publications

Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study

Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study

Exploring the Health Benefits of Boletus aereus Polysaccharides: Extraction, Structural Characterization, and Antiproliferative Properties against Non-Hodgkin’s Lymphomas (NHLs)

Varicella‐zoster virus‐related neurological complications: From infection to immunomodulatory therapies

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