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Article
Chemistry, Multidisciplinary
Jing Cao et al.
Summary: Infection classification is crucial for selecting appropriate treatment plans, and early identification of causative agents is critical for disease control. Host response analysis can detect diverse and sensitive host inflammatory responses to determine the presence and type of infection. However, traditional host-derived inflammatory indicators are inadequate for clinical infection classification.
Article
Chemistry, Multidisciplinary
Yuning Wang et al.
Summary: A multifunctional self-assembled AuNPs array (MSANA)-based LDI-MS platform was developed for direct amino acids analysis and metabolic profiling in patient CSF samples. The platform demonstrated high selectivity and micromolar sensitivity for capturing and analyzing aromatic amino acids. It also exhibited excellent reproducibility (RSD < 10%) compared to the widely used direct matrix spotting approach (RSD < 44%). The platform was successfully used for metabolic profiling of CSF, enabling the discrimination of medulloblastoma patients from non-tumor controls within minutes. Overall, the MSANA-based LDI-MS platform shows potential clinical values for large-scale metabolic diagnostics and pathogenic mechanism study.
Review
Nanoscience & Nanotechnology
Shuya Song et al.
Summary: Extracellular vesicles (EVs) are natural vehicles that play key roles in intercellular communication and have potential as biomarkers for disease diagnosis. This review summarizes the current methods for isolating EVs from body fluids and techniques for analyzing their biomolecules. The advantages, feasibility, and challenges of EV-based in vitro diagnosis are discussed, along with an outlook on the marketing and routine clinical application of EV-based diagnosis.
Article
Chemistry, Multidisciplinary
Xia Yin et al.
Summary: Chemotherapy is a crucial cancer treatment, and its monitoring plays a vital role in improving survival rates and quality of life for cancer patients. However, current monitoring methods are not sensitive enough and have radiation invasiveness. In this study, a bowl-shaped submicroreactor chip loaded with Au-3-aminophenol formaldehyde resin (APF-bowl&Au) is developed for serum metabolic fingerprint extraction and chemotherapy monitoring, allowing for improved prediction of chemotherapy outcomes.
Article
Biophysics
Silio Lima Moura et al.
Summary: This article introduces a biosensor combining immunomagnetic separation and electrochemical biosensing based on the intrinsic ALP activity of exosomes. By improving the analytical performance for detecting ALP activity in exosomes, reliable differentiation between breast cancer patients and healthy individuals is achieved.
BIOSENSORS & BIOELECTRONICS
(2022)
Review
Biochemistry & Molecular Biology
Dan Yu et al.
Summary: Liquid biopsy, a revolutionary strategy for cancer diagnosis and prognosis prediction, uses minimally invasive detection through biofluids such as blood, saliva, and urine. Exosomes, a subset of extracellular vesicles, play a crucial role in intercellular communication and are considered as potential biomarkers in liquid biopsy. However, the lack of high-quality separation and component analysis methods has limited the further clinical application of exosomes.
Article
Multidisciplinary Sciences
Jiahui Zhang et al.
Summary: In this study, it was found that neutrophil-derived exosomes (N-Ex) can induce tumor cell apoptosis by delivering cytotoxic proteins and activating caspase signaling pathway. By decorating N-Ex with superparamagnetic iron oxide nanoparticles (SPIONs), a higher tumor-targeting therapeutic effect can be achieved. Moreover, exosome-like nanovesicles (NNVs) were fabricated with high yield. Compared to liposome-loaded doxorubicin (DOX) and natural NNVs, DOX-loaded NNVs showed improved inhibition of tumor cell proliferation. Additionally, DOX-loaded, SPION-decorated NNVs selectively accumulated at tumor sites under an external magnetic field, effectively restraining tumor growth and significantly prolonging survival rate in mice.
Article
Multidisciplinary Sciences
Yida Huang et al.
Summary: High-performance metabolic analysis using fast nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI-MS) was used to record serum metabolic fingerprints (SMFs) of breast cancer patients. The SMFs were used for machine learning to distinguish breast cancer from non-breast cancer, and also for constructing a metabolic prognosis scoring system. Additionally, a panel of differentially enriched metabolites and related pathways in breast cancer serum were identified.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Review
Multidisciplinary Sciences
David Crosby et al.
Summary: Early detection of cancer is crucial for improving survival rates, but unfortunately, a significant number of cases are diagnosed at an advanced stage. Overcoming various challenges is essential to achieve early detection for all cancers, including understanding high-risk individuals, elucidating the biology and trajectory of precancer and early cancer, and developing sensitive and specific detection technologies.
Article
Chemistry, Multidisciplinary
Fanyu Meng et al.
Summary: In this study, a versatile electrochemical biosensing system using DNAzyme-cleavage cycling amplification and hybridization chain reaction (HCR) amplification was developed for miRNA detection. The platform showed high sensitivity and specificity, and demonstrated good performance in early diagnosis and discrimination of non-small cell lung cancer (NSCLC).
Article
Nanoscience & Nanotechnology
Wenjie Zhao et al.
Summary: In this study, a Si nanowire field-effect transistor (Si-NW Bio-FET) device modified with specific antibodies was proposed for the electrical and label-free detection of exosomes. The developed Si-NW Bio-FET showed high sensitivity and rapid response, allowing for direct quantification and real-time detection of exosomes without labeling, indicating its potential as a tool for early cancer diagnosis.
MICROSYSTEMS & NANOENGINEERING
(2022)
Article
Engineering, Biomedical
Mijin Kim et al.
Summary: Ovarian cancer can be accurately predicted using a disease fingerprint obtained through machine learning from the spectra of near-infrared fluorescence emissions of a carbon nanotube sensor array.
NATURE BIOMEDICAL ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Haolin Chen et al.
Summary: In this study, a specific aptamer-coupled Au-decorated polymorphic carbon material was used to capture urinary exosomes from early gastric cancer (GC) patients and healthy controls (HCs), and the subsequent exosome metabolic pattern profiling was performed. By combining with machine learning algorithm, the early GC patients were successfully discriminated from HCs with a 100% accuracy. Three key metabolic features were identified as a biomarker panel, achieving over 90% diagnostic accuracy for early GC. Moreover, the change in the key metabolic features during GC development was revealed, demonstrating their monitoring ability for GC. This work highlights the potential of exosome-driven precision medicine in disease diagnosis and monitoring.
Article
Chemistry, Multidisciplinary
Liang Hu et al.
Summary: This study introduces a rapid and efficient tear-exosomes analysis system called iTEARS, which uses nanotechnology to isolate nanoscale extracellular vesicles from a small volume of tears for the study of ocular disorders and systemic diseases. Through proteomic and transcriptomic analysis, numerous proteins and miRNAs were identified in tears, and potential biomarkers for dry eye disease and diabetic retinopathy were discovered.
Article
Chemistry, Multidisciplinary
Yanbing Yang et al.
Summary: A new urinalysis device is reported for the diagnosis, classification, and recurrence assessment of bladder cancer by directly analyzing bladder tumor-associated proteins in urine samples. The device integrates molecular-specificity IGZO FET biosensor arrays, a device control panel, and an internet terminal for remote healthcare and personalized medicine.
ADVANCED MATERIALS
(2022)
Article
Biophysics
Lin Huang et al.
Summary: This study constructed an advanced dual-modal nanoplatform based on PdPtAu alloys, which enables colorimetric detection of targeted metabolites and mass spectrometry analysis of untargeted metabolic fingerprints. The platform achieved rapid glucose quantitation and identified diabetic retinopathy with high sensitivity and specificity. The use of digital images and computing resources on smartphones demonstrated the potential applicability of this platform in real-case scenarios.
BIOSENSORS & BIOELECTRONICS
(2022)
Editorial Material
Multidisciplinary Sciences
Si-Yang Maggie Liu et al.
Article
Public, Environmental & Occupational Health
Hossein Moinzad et al.
Summary: This research develops an integrated framework that combines risk and maturity analysis with the strategic planning process in health information technology (HIT) strategic plan. By using a balanced scorecard (BSC) and control objectives for information and related technologies (COBIT), this framework provides decision-making parameters and strategies for successful IT implementation.
HEALTH SCIENCE REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Ruimin Wang et al.
Summary: This study introduces a nanoparticle-enhanced laser desorption/ionization mass spectrometry platform for one-time serum metabolic fingerprinting in PCOS patients with obesity. A decision tree is constructed to diagnose and phenotype PCOS patients, showing high accuracy and technical robustness.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Review
Biochemistry & Molecular Biology
Xiaolu Li et al.
Summary: This article provides a comprehensive review of the role of lactate, clarifying its involvement in diseases and offering references and direction for future research.
SIGNAL TRANSDUCTION AND TARGETED THERAPY
(2022)
Review
Public, Environmental & Occupational Health
Benson G. Ongarora
Summary: The study explores technological improvements in wound management over time. Results show advancements in wound dressings, including the use of composite materials embedded with nanoparticles, as well as the development of drugs for pain management, inflammation, infections, and wound healing acceleration. However, more research is needed to address microbial resistance to drugs and to design drugs that can enhance wound healing. The integration of conventional and traditional medicine has shown positive results in chronic wound management. Collaborative efforts and innovation in the field can accelerate technological advances in wound care to benefit patients.
HEALTH SCIENCE REPORTS
(2022)
Review
Nanoscience & Nanotechnology
Yingzhu Zhou et al.
Summary: H2S is involved in various biological processes and diseases, leading to the development of analytical methods for its detection, with fluorescence-based assays offering good sensitivity and specificity. Nanotechnology has been utilized to develop highly sensitive and specific fluorescent nanoprobes for real-time detection and imaging.
Review
Nanoscience & Nanotechnology
Weijie Wu et al.
Summary: This review summarizes recent advances in functional nanomaterial-based suspension array technology, analyzes current challenges, and proposes corresponding solutions.
Review
Nanoscience & Nanotechnology
Rui Yang et al.
Summary: This article reviews the applications of gold nanostars (AuNSs) in the field of cancer theranostics. Due to their good biocompatibility and various imaging properties, AuNSs have great potential in multifunctional nanomedicine.
Review
Chemistry, Multidisciplinary
Chao Lu et al.
Summary: Graphitic carbon nitride with ordered two-dimensional structure has various properties, but its application in electrochemical fields faces challenges. Nanostructure engineering can improve its performance and enable wider applications in electrochemistry.
Article
Chemistry, Multidisciplinary
Na Wu et al.
Summary: The study demonstrates a diagnosis protocol for ultrasensitive detection of uEVs and accurate classification of early urinary diseases by combining a ratiometric 3D DNA machine with machine learning. The biosensor offers a detection limit of 9.9 X 10(3) particles mL(-1) for uEVs and achieves high diagnostic accuracy using K-nearest neighbor and support vector machine algorithms. The protocol also provides 100% accurate visual identification of clinical uEV samples using a t-distributed stochastic neighbor embedding algorithm.
Article
Biophysics
Junbeom Kim et al.
Summary: Urinary exosomal miRNAs are potential biomarkers, but limited by low concentration and small volume. Hydrogel-based HCR technique shows high amplification and enhanced detection limits for miRNA in urine samples, with potential for clinical diagnosis applications in differentiating prostate cancer patients from healthy controls.
BIOSENSORS & BIOELECTRONICS
(2021)
Article
Oncology
M-N Theodoraki et al.
Summary: Evaluation of plasma exosomes can potentially detect early treatment failure in locally advanced HNSCC patients undergoing conventional therapy. Changes in the relative fluorescence intensity of immunoregulatory proteins on exosomes, their ability to inhibit T cells, and adenosine production during therapy suggest a potential role in monitoring treatment response and risk stratification.
BRITISH JOURNAL OF CANCER
(2021)
Article
Chemistry, Multidisciplinary
Xiang Ling et al.
Summary: This study introduces a triply emissive nanoscale metal-organic layer (nMOL), NA@Zr-BTB/F/R, designed for sensing mitochondrial dysregulation. Through postsynthetic functionalization of Zr-BTB nMOL, the NA@Zr-BTB/F/R serves as a ratiometric sensor for detecting mitochondrial dysregulation and chemotherapy resistance via GSH and pH sensing.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Article
Biochemical Research Methods
Yuchao Chen et al.
Summary: The study introduces an ultrafast isolation system called EXODUS for efficient purification of exosomes from biofluids, with superior speed, purity, and yield compared to other isolation techniques.
Article
Chemistry, Analytical
Yan Lu et al.
Summary: A new PEC immunosensor for ultrasensitive detection of PSA was developed using the P5ICA/WO3 heterojunction as the photoactive material. By utilizing a ratiometric detection approach, the sensor achieved high sensitivity and reduced impact of external factors on detection results. This sensor has a dynamic working range from 0.0005-50 ng mL(-1) with LOD of 0.00012 ng mL(-1) and LOQ of 0.0004 ng mL(-1), demonstrating potential applications for disease-related biomarker detection.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Article
Chemistry, Multidisciplinary
Jian Zhang et al.
Summary: This study uses quantitative proteomics to identify diagnostic markers and a prognostic signature based on differential protein secretion by normal fibroblasts and exosome-activated fibroblasts affected by lung cancer cell-derived exosomes. These findings have the potential to distinguish tumor tissues from normal tissue and identify patients who may benefit from adjuvant therapy after surgical resection. Additionally, the secretome offers novel targets for clinical treatment.
Article
Chemistry, Analytical
Wen Yi Lv et al.
Summary: The three-layer hierarchical hybridization chain reaction (3L hHCR) proposed in this work achieves robust signal amplification efficiency and ultra-sensitive detection, with the ability to discriminate different concentrations of target sequences. It can also be operated as a cascade AND logic gate and a molecular keypad lock, showing potential applications in cancer diagnosis and biosensing.
ANALYTICAL CHEMISTRY
(2021)
Article
Oncology
Hyuna Sung et al.
Summary: The global cancer burden in 2020 saw an estimated 19.3 million new cancer cases and almost 10.0 million cancer deaths. Female breast cancer surpassed lung cancer as the most commonly diagnosed cancer, while lung cancer remained the leading cause of cancer death. These trends are expected to rise in 2040, with transitioning countries experiencing a larger increase compared to transitioned countries due to demographic changes and risk factors associated with globalization and a growing economy. Efforts to improve cancer prevention measures and provision of cancer care in transitioning countries will be crucial for global cancer control.
CA-A CANCER JOURNAL FOR CLINICIANS
(2021)
Review
Biochemistry & Molecular Biology
Ming-Yue Li et al.
Summary: Lung cancer is often diagnosed late with poor prognosis, and conventional treatments are ineffective for metastatic lung cancer. Lung cancer cell-derived exosomes are receiving attention for their potential in carcinogenesis, diagnosis, therapy, and prognosis of lung cancer, with studies looking into their use as drug delivery vehicles and potential clinical applications.
Article
Multidisciplinary Sciences
Meng Nie et al.
Summary: Metabolic reprogramming occurs during cancer initiation and progression. The study deciphers metabolic trajectories from preneoplasia to lung adenocarcinoma in tumor samples and identifies plasma metabolites as potential predictive biomarkers for early detection.
NATURE COMMUNICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Haiyang Su et al.
Summary: The article introduces a mesoporous PdPtAu alloy designed to characterize metabolic profiles in human blood, enabling precise diagnosis of early gastric cancer by optimizing elemental composition and surface structure.
ADVANCED MATERIALS
(2021)
Article
Nanoscience & Nanotechnology
Siddharth Sourabh Sahu et al.
Summary: The study introduces a method to enhance the detection sensitivity of a biosensor for membrane protein analysis of small extracellular vesicles (sEVs). By modulating the zeta potential of the sensor surface, the method showed feasibility in monitoring the expression of CD9, EGFR, and PD-L1 on the sEV surface. The results suggest a promising prospect for clinical application.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Nanoscience & Nanotechnology
Hua Chai et al.
Summary: This article summarizes the assembly principles and applications of hybridization chain reaction (HCR) in DNA nanotechnology. HCR has excellent assembly kinetics and ease of operation, making it suitable for ultra-sensitive detection of various targets. Future advancements in overcoming challenges are needed for further development in this field.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Review
Biochemistry & Molecular Biology
Chunyang Jiang et al.
Summary: Exosomes play a crucial role in the communication between tumor cells and their microenvironment, especially in the development of lung cancer metastasis. Studies have shown that tumor-derived exosomes promote lung cancer via processes such as inducing epithelial-mesenchymal transition. Understanding these mechanisms provides researchers with new ideas to explore clinical applications for the diagnosis and treatment of lung cancer metastasis.
Review
Nanoscience & Nanotechnology
Shruti Rawal et al.
Summary: This review article discusses the use of nanobioengineering and bionanotechnology as a clinical management approach for lung cancer, highlighting the role of bio-nano tools in diagnosis, therapeutics, and theranostics. It also evaluates the translational value of bioengineered, bioinspired, and biomimetic bio-nanotools, as well as the comparison of existing oncostrategies with bio-nanocarriers and the issues hindering their clinical transformation.
NANO-MICRO LETTERS
(2021)
Article
Engineering, Biomedical
Jongmin Park et al.
Summary: The device described in the study efficiently integrates enrichment and electrochemical detection of tumor extracellular vesicles, accurately classifying colorectal cancer patients in less than an hour. The device showed high accuracy in classifying patients, with potential for aiding in cancer detection and monitoring.
NATURE BIOMEDICAL ENGINEERING
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Review
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Hanyong Peng et al.
ANALYTICAL CHEMISTRY
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Peivand Sadat Mousavi et al.
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Chao Zhu et al.
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Editorial Material
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Wenhua Liang et al.
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Jiadi Sun et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
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ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
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Ji Yoon Yoon et al.
JOURNAL OF THORACIC ONCOLOGY
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Review
Oncology
Luis M. Seijo et al.
JOURNAL OF THORACIC ONCOLOGY
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Qing Wang et al.
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Gaojian Yang et al.
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