Review
Biotechnology & Applied Microbiology
Xingyu Chen, Yu Xie, Zhiqiang Liu, Yunfeng Lin
Summary: Tetrahedral framework nucleic acid (tFNA), a special DNA nanodevice, shows promise for treating neurological disorders due to its high programmability, biocompatibility, tissue permeability, and capacity for cell proliferation and differentiation. This review evaluates recent studies on the use and progress of tFNA-based nanomaterials in neurological disorders.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Review
Chemistry, Medicinal
Yanan Li, Jing Cui, Chenlong Li, Huimin Zhou, Jun Chang, Omer Aras, Feifei An
Summary: Fluorine magnetic resonance imaging (F-19 MRI) is a promising imaging technique for cancer diagnosis, offering excellent resolution and penetration. Scientists have synthesized various fluorinated contrast agents by integrating nanomaterials and construction strategies to enhance the intensity of F-19 MRI signals.
Review
Biotechnology & Applied Microbiology
NorAziyah Mat Rahim, HaiYen Lee, Ulrich Strych, Sazaly AbuBakar
Summary: The World Health Organization has identified A. baumannii as a top priority pathogen in need of new and effective treatment due to antibiotic resistance. With limited antibiotic options available, alternative approaches such as vaccines have shown promise in reducing disease burden and addressing antimicrobial resistance, suggesting that a similar approach may work for A. baumannii. While several potentially protective antigens have been identified for the bacteria, a licensed vaccine is still not yet available. Challenges in vaccine development against A. baumannii are being explored, along with promising approaches for improving the vaccine development process.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2021)
Review
Chemistry, Medicinal
Huihui Li, Zixi Zhuang, Qian Yu, Shumei Wang
Summary: Herbs continue to be important sources of antiviral drugs, with alkaloids playing a key role in their pharmacological activities. This review summarizes recent research on herb-based antiviral treatments and the inflammatory responses initiated by alkaloids, providing insights into potential therapeutic strategies for viral infections. Further research is needed to develop alkaloidal compounds as effective antiviral agents and regulators of the anti-inflammatory response.
DRUG DESIGN DEVELOPMENT AND THERAPY
(2021)
Review
Chemistry, Multidisciplinary
Dong Hae Ho, Yoon Young Choi, Sae Byeok Jo, Jae-Min Myoung, Jeong Ho Cho
Summary: MXene is considered a revolutionary 2D material with high potential for sensors, particularly in surpassing traditional sensor technologies. This critical review systematically presents recent advances in MXene-based sensor technology and provides a roadmap for commercializing MXene-based sensors, offering important insights for future development.
ADVANCED MATERIALS
(2021)
Review
Chemistry, Multidisciplinary
Xiaohui Niu, Rui Zhao, Simeng Yan, Zengwei Pang, Hongxia Li, Xing Yang, Kunjie Wang
Summary: Chirality is a universal phenomenon that exists in molecular and biological systems, referring to an asymmetric configurational property where an object cannot be superimposed onto its mirror image by any kind of translation or rotation. Chirality plays a crucial role in the life system, with many biological molecules exhibiting chirality. Living organisms are composed of homochiral building blocks, such as L-amino acids and D-sugars, for unknown reasons. When molecules with chirality interact with these chiral factors, only one conformation favors the positive development of life, leading to changes in pharmacodynamics and pathology. This article summarizes the latest research on the construction and applications of chiral materials based on natural small molecules, natural biomacromolecules, and designed materials as chiral sources.
Review
Multidisciplinary Sciences
B. Andrei Bernevig, Claudia Felser, Haim Beidenkopf
Summary: Magnetic topological materials have unique properties influenced by the topology of their electronic wave functions and magnetic spin configuration. In this review, we summarize the theoretical and experimental progress in this field and provide an outlook for future research.
Review
Oncology
Maria Victoria Garcia-Ortiz, Pablo Cano-Ramirez, Marta Toledano-Fonseca, Enrique Aranda, Antonio Rodriguez-Ariza
Summary: Pancreatic cancer is a challenging and deadly disease, and there is a need to improve early detection, prognosis, and treatment response. Liquid biopsy and cell-free DNA (cfDNA) methylation analysis have emerged as promising approaches for developing biomarkers in pancreatic cancer research.
BIOMARKER RESEARCH
(2023)
Review
Microbiology
Shyam Tripathi, Purnima Khatri, Zeeshan Fatima, Ramendra Pati Pandey, Saif Hameed
Summary: Viral diseases pose a serious threat to humanity and are a major cause of global morbidity. Despite the development of many viral diagnostic methods and antiviral therapies, there is still a long way to go in treating certain viral infections. The CRISPR/Cas9 system has emerged as a potential therapeutic approach for viral disease treatment. CRISPR/Cas9 is an effective gene-editing technique that can modify, delete, or correct specific DNA sequences, and it has become a widely preferred tool due to its simplicity, cost-effectiveness, and efficiency.
Review
Biochemistry & Molecular Biology
Tianxiang Li, Yanyan Yang, Hongzhao Qi, Weigang Cui, Lin Zhang, Xiuxiu Fu, Xiangqin He, Meixin Liu, Pei-feng Li, Tao Yu
Summary: CRISPR/Cas9 gene-editing technology is an ideal tool for treating diseases by repairing mutations or disrupting disease-causing genes. However, effectively delivering the CRISPR system to diseased cells in vivo is currently lacking, and nonviral vectors with target recognition functions may be the focus of future research. Pathological and physiological changes resulting from disease onset can be used for targeted delivery or gene editing.
SIGNAL TRANSDUCTION AND TARGETED THERAPY
(2023)
Article
Chemistry, Physical
Bin Xie, Yida Liu, Wang Xi, Run Hu
Summary: With the development of radiative cooling research and the improvement of cooling effect, the practicability and application range of radiative coolers have been widely concerned. However, conventional radiative coolers typically come in white, which can be undesirable due to aesthetic reasons and potential light pollution. Luckily, a colored radiative cooler (CRC) has been developed and demonstrated as a solution that offers both vivid colors and impressive radiative cooling performance.
MATERIALS TODAY ENERGY
(2023)
Review
Chemistry, Physical
Yao-Jie Lei, Hui-Ling Yang, Yaru Liang, Han-Wen Liu, Binwei Zhang, Liang Wang, Wei-Hong Lai, Yun-Xiao Wang, Hua-Kun Liu, Shi-Xue Dou
Summary: The potassium-sulfur battery (K-S battery) is a promising battery technology with high energy density and low cost. However, its low reversible capacity and safety issues related to the K metal anode hinder its development. Current research focuses on improving the sulfur cathode, electrolyte, separator, and K metal anode of the K-S system.
ADVANCED ENERGY MATERIALS
(2022)
Article
Engineering, Biomedical
Yuan Wang, Jeffrey Venezuela, Matthew Dargusch
Summary: Biodegradable SMAs offer a solution to the potential risks posed by permanent metals in the body, improving patient comfort and healing efficiency.
Article
Engineering, Mechanical
Qiang Gao, Tinghai Cheng, Zhong Lin Wang
Summary: The development of triboelectric nanogenerators and sensors has increased the intelligence level of equipment and promoted their application in fields such as the internet of things and biomedicine. Triboelectric mechanical sensors have made significant progress in monitoring mechanical motion, vibration, pressure, and tactile perception.
EXTREME MECHANICS LETTERS
(2021)
Review
Thermodynamics
Matthias Ihme, Wai Tong Chung, Aashwin Ananda Mishra
Summary: This article discusses the importance and challenges of machine learning techniques in combustion science and engineering. It introduces the sources of data and data-driven techniques, and provides a detailed review of supervised, unsupervised, and semi-supervised machine learning methods. Through case studies and evaluations, the article demonstrates the wide applications of machine learning in combustion. In looking towards the future, it identifies issues such as interpretability, uncertainty quantification, and robustness, and suggests further research opportunities.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2022)
