Engineering, Biomedical

Article Engineering, Biomedical

Aggregation-induced emission luminogens for highly effective microwave dynamic therapy

Nil Kanatha Pandey, Wei Xiong, Lingyun Wang, Wei Chen, Brian Bui, Jian Yang, Eric Amador, Mingli Chen, Christina Xing, Aseem Atul Athavale, Yaowu Hao, Wirya Feizi, Lloyd Lumata

Summary: The study presents the significance of AIEgen-mediated microwave dynamic therapy (MWDT) for cancer treatment, which helps to overcome the limitations of conventional PDT and reduce the side effects of MW radiation.

BIOACTIVE MATERIALS (2022)

Review Engineering, Biomedical

The immune microenvironment in cartilage injury and repair

Muzhe Li, Han Yin, Zineng Yan, Huiyun Li, Jiang Wu, Yue Wang, Fu Wei, Guangzhao Tian, Chao Ning, Hao Li, Cangjian Gao, Liwei Fu, Shuangpeng Jiang, Mingxue Chen, Xiang Sui, Shuyun Liu, Zhiwei Chen, Quanyi Guo

Summary: The limited ability of articular cartilage to repair itself is hindered by inflammatory problems. Immune response plays a crucial role in both promoting cartilage repair and accelerating cartilage degradation. Multi-dimensional regulation of the inflammatory microenvironment is needed for cartilage regeneration.

ACTA BIOMATERIALIA (2022)

Article Engineering, Biomedical

Titanium carbide nanosheets with defect structure for photothermal-enhanced sonodynamic therapy

Guangqiang Li, Xiaoyan Zhong, Xianwen Wang, Fei Gong, Huali Lei, Yangkai Zhou, Chengfei Li, Zhidong Xiao, Guoxi Ren, Liang Zhang, Zhiqiang Dong, Zhuang Liu, Liang Cheng

Summary: This study develops defective MXene nanosheets as efficient and safe sonosensitizers for photothermal-enhanced sonodynamic therapy, extending the biomedical application of MXene-based nanoplatforms.

BIOACTIVE MATERIALS (2022)

Review Biology

Machine learning in medical applications: A review of state-of-the-art methods

Mohammad Shehab, Laith Abualigah, Qusai Shambour, Muhannad A. Abu-Hashem, Mohd Khaled Yousef Shambour, Ahmed Izzat Alsalibi, Amir H. Gandomi

Summary: Machine learning methods have been extensively applied in the medical field to enhance the reliability and accuracy of diagnostic systems. This survey provides a comprehensive review of the standard technologies and discusses five major medical applications of machine learning.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Engineering, Biomedical

A bone-targeted engineered exosome platform delivering siRNA to treat osteoporosis

Yongzhi Cui, Yuanyuan Guo, Li Kong, Jingyu Shi, Ping Liu, Rui Li, Yongtao Geng, Weihang Gao, Zhiping Zhang, Dehao Fu

Summary: The complex pathogenesis of osteoporosis makes it difficult to treat with conventional therapies. Researchers have developed an exosome delivery system based on exosomes secreted by mesenchymal stem cells derived from induced pluripotent stem cells. By modifying a bone-targeting peptide, the system can specifically deliver siRNA to osteoblasts and enhance therapeutic effects.

BIOACTIVE MATERIALS (2022)

Article Acoustics

Ultra-highly sensitive HCl-LITES sensor based on a low-frequency quartz tuning fork and a fiber-coupled multi-pass cell

Shunda Qiao, Angelo Sampaolo, Pietro Patimisco, Vincenzo Spagnolo, Yufei Ma

Summary: In this paper, an ultra-highly sensitive light-induced thermoelastic spectroscopy (LITES) based HCl sensor using a custom low-frequency QTF and a fiber-coupled MPC was demonstrated. The results showed that the low-frequency QTF provided improved signal enhancement compared to a standard QTF, and the fiber-coupled MPC enhanced system robustness. The sensor exhibited an excellent linear response to HCl gas concentration.

PHOTOACOUSTICS (2022)

Editorial Material Cell & Tissue Engineering

A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education

Michael R. King

CELLULAR AND MOLECULAR BIOENGINEERING (2023)

Review Biology

Transparency of deep neural networks for medical image analysis: A review of interpretability methods

Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin

Summary: AI is increasingly used in clinical applications for diagnosis and treatment decisions, with deep neural networks showing equal or better performance than clinicians. However, their lack of interpretability calls for the development of methods to ensure their trustworthiness. Nine different types of interpretability methods have been identified for understanding deep learning models in medical image analysis, with ongoing research on improving interpretability and evaluation methods for deep neural networks.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Engineering, Biomedical

Fast and sensitive detection of SARS-CoV-2 RNA using suboptimal protospacer adjacent motifs for Cas12a

Shuhan Lu, Xiaohan Tong, Yang Han, Kun Zhang, Yizhou Zhang, Qiubing Chen, Junyi Duan, Xinlin Lei, Muhan Huang, Yang Qiu, Ding-Yu Zhang, Xi Zhou, Ying Zhang, Hao Yin

Summary: This study presents a one-step fluorescence assay for the detection of SARS-CoV-2 RNA in nasopharyngeal samples. The assay offers a short detection time and sensitivity comparable to RT-qPCR, while also allowing for flexible assay design.

NATURE BIOMEDICAL ENGINEERING (2022)

Article Engineering, Biomedical

Nanocellulose, a versatile platform: From the delivery of active molecules to tissue engineering applications

Tejal Patil, Dinesh K. Patel, Sayan Deb Dutta, Keya Ganguly, Tuhin Subhra Santra, Ki-Taek Lim

Summary: Nanocellulose, a biopolymer with superior physicochemical properties, has attracted wide attention from researchers. It can be extracted from various sources and can be chemically modified for biomedical applications.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

Application of prime editing to the correction of mutations and phenotypes in adult mice with liver and eye diseases

Hyewon Jang, Dong Hyun Jo, Chang Sik Cho, Jeong Hong Shin, Jung Hwa Seo, Goosang Yu, Ramu Gopalappa, Daesik Kim, Sung-Rae Cho, Jeong Hun Kim, Hyongbum Henry Kim

Summary: Prime editing has shown the potential to precisely correct disease-causing mutations and ameliorate disease phenotypes in mouse models of genetic diseases. By identifying optimal guide RNAs, it can precisely target genes without detectable off-target edits. However, further validation in more animal models is necessary.

NATURE BIOMEDICAL ENGINEERING (2022)

Article Engineering, Biomedical

Recent development of metal-organic framework nanocomposites for biomedical applications

Xueying Ge, Raymond Wong, Anee Anisa, Shengqian Ma

Summary: Reducing the size of metal-organic framework (MOF) composites to the nanoscale has presented unique opportunities for enhanced properties. MOF-based nanocomposites offer limitless possibilities for biomedical applications. This review focuses on the recent development, classification, and construction methods of MOF-based nanocomposites for biomedical applications.

BIOMATERIALS (2022)

Article Engineering, Biomedical

Polydopamine-mediated graphene oxide and nanohydroxyapatite-incorporated conductive scaffold with an immunomodulatory ability accelerates periodontal bone regeneration in diabetes

Yazhen Li, Lu Yang, Yue Hou, Zhenzhen Zhang, Miao Chen, Maoxia Wang, Jin Liu, Jun Wang, Zhihe Zhao, Chaoming Xie, Xiong Lu

Summary: In this study, a polydopamine-mediated graphene oxide and hydroxyapatite nanoparticle-incorporated conductive scaffold was developed to accelerate periodontal bone regeneration in diabetic patients. The scaffold demonstrated conductivity, ROS-scavenging, anti-inflammatory, and immunomodulatory abilities, leading to excellent bone regeneration by modulating macrophage functions.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

A DAMP-scavenging, IL-10-releasing hydrogel promotes neural regeneration and motor function recovery after spinal cord injury

He Shen, Bai Xu, Chao Yang, Weiwei Xue, Zhifeng You, Xianming Wu, Dezun Ma, Dan Shao, Kam Leong, Jianwu Dai

Summary: A dual-functional hydrogel scaffold was developed for treating SCI, scavenging DAMPs and releasing IL-10. In vitro and in vivo studies showed that this scaffold reduced proinflammatory responses, enhanced neurogenic differentiation, suppressed cytokine production, and promoted neural regeneration to a greater extent compared to control scaffolds.

BIOMATERIALS (2022)

Article Engineering, Biomedical

Microgel assembly: Fabrication, characteristics and application in tissue engineering and regenerative medicine

Qi Feng, Dingguo Li, Qingtao Li, Xiaodong Cao, Hua Dong

Summary: This mini-review summarizes the fabrication strategies, unique characteristics, and applications of microgel assembly in tissue engineering and regenerative medicine, with a focus on 3D printing. The challenges for further applications of microgel assembly are also discussed.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

Microenvironment-driven sequential ferroptosis, photodynamic therapy, and chemotherapy for targeted breast cancer therapy by a cancer-cell-membrane-coated nanoscale metal-organic framework

Wei-Lun Pan, Yong Tan, Wei Meng, Nai-Han Huang, Yi-Bang Zhao, Zhi-Qiang Yu, Zhong Huang, Wen-Hua Zhang, Bin Sun, Jin-Xiang Chen

Summary: In this study, a nanomedicine based on the tumor microenvironment (TME) was designed and developed for effective cancer treatment. The nanocomposite with a cancer cell membrane (CM) coating can evade the immune clearance and accumulate at the tumor site. Activation of the nanocomposite in the TME triggers a series of reactions, promoting cancer cell death and enhancing photodynamic therapy (PDT) efficacy. This sequential synergistic therapy has demonstrated the ability to inhibit cancer cell proliferation effectively.

BIOMATERIALS (2022)

Article Engineering, Biomedical

2D Ti3C2TxMXene couples electrical stimulation to promote proliferation and neural differentiation of neural stem cells

Rongrong Guo, Miao Xiao, Wanyu Zhao, Shan Zhou, Yangnan Hu, Menghui Liao, Shengping Wang, Xiaowei Yang, Renjie Chai, Mingliang Tang

Summary: Ti3C2Tx MXene nanosheets have shown the potential to regulate the fate of neural stem cells (NSCs) by promoting their proliferation and neural differentiation. NSCs cultured on Ti(3)C(2)T(x)MXene films exhibit enhanced electrical activity and more mature neurons with longer neurites and increased branching. Electrical stimulation applied through the Ti(3)C(2)T(x)MXene film further enhances NSC proliferation. This study expands the potential applications of MXene materials and provides new strategies for stem cell research.

ACTA BIOMATERIALIA (2022)

Review Engineering, Biomedical

Lipid Nanoparticles for Drug Delivery

Letao Xu, Xing Wang, Yun Liu, Guangze Yang, Robert J. Falconer, Chun-Xia Zhao

Summary: This article provides an overview of lipid nanoparticles, including their different types, preparation methods, and applications in drug delivery. It also summarizes the challenges and potential future studies for lipid nanoparticles to achieve wider clinical and pharmaceutical applications.

ADVANCED NANOBIOMED RESEARCH (2022)

Article Biology

Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections

Zilong Zhang, Feifei Cui, Chen Cao, Qingsuo Wang, Quan Zou

Summary: This study used single-cell RNA sequencing analysis to identify macrophages as potentially associated with SARS-CoV-2 lung pathogenesis and ribosome-related pathways as potential therapeutic targets for COVID-19 lung infection. M1-like macrophages showed a strong relationship with severe COVID-19 patients, with upregulation of chemokine pathways leading to severe symptoms and down-regulation of ribosome and RNA activity pathways potentially leading to milder cases. Additionally, analysis of organ-specific susceptible cell types could provide further targets for COVID-19 therapy.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Biology

Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study

Mohammad H. Nadimi-Shahraki, Hoda Zamani, Seyedali Mirjalili

Summary: This article introduces an enhanced whale optimization algorithm (E-WOA) for feature selection problems, and its binary version BE-WOA for selecting effective features from medical datasets. Experimental results demonstrate that E-WOA and BE-WOA outperform other algorithms in global optimization and feature selection.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)