Smart nano generation of transgenic algae expressing white spot syndrome virus in shrimps for inner ear-oral infection treatments using the spotted hyena optimizer (SHO)-Long short-term memory algorithm

作者全名："Liu, Fanli; Zheng, Bin; Zheng, Nan; Alfaiz, Faiz Abdulaziz; Ali, Elhosiny; AL Garalleh, Hakim; Assilzadeh, Hamid; Xia, Siwen"

作者地址："[Liu, Fanli; Xia, Siwen] Wenzhou Med Univ, Affiliated Hosp 2, Dept Otolaryngol Head & Neck Surg, Wenzhou 325027, Zhejiang, Peoples R China; [Liu, Fanli; Xia, Siwen] Wenzhou Med Univ, Yuying Childrens Hosp, Wenzhou 325027, Zhejiang, Peoples R China; [Zheng, Bin] Chongqing Med Univ, Dept Rehabil Therapeut, Chongqing 401120, Peoples R China; [Zheng, Nan] Zhejiang Chinese Med Univ, Sch Pharm, Hangzhou 310053, Peoples R China; [Alfaiz, Faiz Abdulaziz] Majmaah Univ, Coll Sci, Dept Biol, Al Majmaah 11952, Saudi Arabia; [Ali, Elhosiny] King Khalid Univ, Fac Sci, Dept Phys, POB 9004, Abha, Saudi Arabia; [AL Garalleh, Hakim] Univ Business & Technol, Coll Engn, Dept Math Sci, Jeddah 21361, Saudi Arabia; [Assilzadeh, Hamid] UTE Univ, Fac Architecture & Urbanism, Calle Rumipamba S-N & Bourgeois, Quito, Ecuador; [Assilzadeh, Hamid] Duy Tan Univ, Inst Res & Dev, Da Nang, Vietnam; [Assilzadeh, Hamid] Duy Tan Univ, Sch Engn & Technol, Da Nang, Vietnam; [Assilzadeh, Hamid] Saveetha Inst Med & Tech Sci, Saveetha Dent Coll & Hosp, Dept Biomat, Chennai 600077, India"

通信作者："Xia, SW (通讯作者)，Wenzhou Med Univ, Affiliated Hosp 2, Dept Otolaryngol Head & Neck Surg, Wenzhou 325027, Zhejiang, Peoples R China.; Xia, SW (通讯作者)，Wenzhou Med Univ, Yuying Childrens Hosp, Wenzhou 325027, Zhejiang, Peoples R China.; Alfaiz, FA (通讯作者)，Majmaah Univ, Coll Sci, Dept Biol, Al Majmaah 11952, Saudi Arabia."

来源：ENVIRONMENTAL RESEARCH

ESI学科分类：ENVIRONMENT/ECOLOGY

WOS号：WOS:001140947800001

JCR分区：Q1

影响因子：7.7

年份：2024

卷号：243

期号：　

开始页：　

结束页：　

文献类型：Article; Early Access

关键词：Smart nano application; White spot disease (WSD); White spot syndrome virus (WSSV); Transgenic algae; Short-term long memory (LSTM); Polymerase chain reaction (PCR)

摘要："Nanotechnology offers a promising avenue to amplify the effectiveness and precision of using transgenic algae in managing WSSV in shrimp by possibly crafting nano-carriers for targeted therapeutic agent delivery or modifying algae cells at a molecular level. Leveraging the capabilities of nano-scale interventions, this study could explore innovative means to manipulate cellular processes, control biological interactions, and enhance treatment efficacy while minimizing undesirable impacts in aquatic environments. The White Spot Syndrome Virus (WSSV) is a double-stranded DNA virus with a tail and rod form that belongs to theNimaviridaefamily. There is no workable way to manage this illness at the moment. This research proposes a new model based on the Long Short-Term Memory (LSTM) and Spotted Hyena Optimizer (SHO) method to control the inner ear-oral infection, utilizing transgenic algae (Chlamydomonas reinhardtii). It is pretty tricky to modify the weight matrix in LSTM. The output will be more accurate if the weight of the neurons is exact. Histological examinations and nested polymerase chain reaction (PCR) testing were performed on the challenged shrimp every 4 h to assess the degree of white spot disease. The SHO-LSTM has shown the highest accuracy and Roc value (98.12% and 0.93, respectively) and the lowest error values (MSE = 0.182 and MAE = 0.48). The hybrid optimized model improves the overall inner ear-oral linked neurological diseases detection ratio. Additionally, with the slightest technical complexity, it effectively controls the forecast factors required to anticipate the ENT. Algal cells were found to be particularly well-suited for inner ear-oral infections, and shrimps fed a transgenic line had the best survival ratio in WSSV infection studies, with 87% of the shrimp surviving. This shows that using this line would effectively stop the spread of WSSV in shrimp populations."

基金机构：Wenzhou Association for Science and Technology Fund [jczc0279]

基金资助正文：<B>Funding</B> This study was supported by Wenzhou Association for Science and Technology Fund (jczc0279) .