Review
Biotechnology & Applied Microbiology
Amanda Cano, Patric Turowski, Miren Ettcheto, Jason Thomas Duskey, Giovanni Tosi, Elena Sanchez-Lopez, Maria Luisa Garcia, Antonio Camins, Eliana B. Souto, Agustin Ruiz, Marta Marquie, Merce Boada
Summary: Increasing life expectancy has led to a rise in dementia cases, particularly Alzheimer's disease, which is expected to reach 131 million cases by 2050. The lack of effective treatments and late diagnosis hinder disease management, highlighting the urgent need for improved diagnostic tools and therapeutic approaches for AD. Nanomedicine-based technologies, including advanced nanoparticles, show promise in improving drug effectiveness and tracking disease progression.
JOURNAL OF NANOBIOTECHNOLOGY
(2021)
Review
Cell Biology
Cesar Caceres, Bernardita Heusser, Alexandra Garnham, Ewa Moczko
Summary: Alzheimer's disease is a chronic neurodegenerative disorder that leads to brain cell death, memory loss, and loss of body functions. Despite the lack of a cure, two medications, aducanumab and lecanemab, have recently been approved by the FDA for treating AD, although concerns about their effectiveness and safety persist. Nanotechnology holds promise for the development of diagnostic tools and treatments for AD.
Review
Nutrition & Dietetics
Yijing Chen, Jinying Xu, Yu Chen
Summary: Emerging evidence suggests that gut microbiota plays a crucial role in regulating brain activity and cognitive functions through the microbiota-gut-brain axis. The mechanisms by which gut microbiota regulate neurotransmitter production, transportation, and functioning are not well understood, nor are the effects of these interactions on normal brain functions and cognition. Dysbiosis of the microbiome can adversely affect cognitive function, particularly in neurodegenerative diseases like Alzheimer's and Parkinson's.
Review
Cell Biology
Shital Rani, Sudhrita Basu Dhar, Akhil Khajuria, Dikshi Gupta, Pradeep Kumar Jaiswal, Neha Singla, Mandeep Kaur, Gurpal Singh, Ravi Pratap Barnwal
Summary: In order to manage Alzheimer's disease (AD) and improve prognosis and treatment, it is necessary to develop early non-invasive diagnosis methods and identify novel biomarkers. AD has a multifactorial nature and involves complex molecular mechanisms that cause neuronal degeneration. The challenges in early AD detection include patient heterogeneity and the lack of precise diagnosis at the preclinical stage. Several CSF and blood biomarkers, such as tau pathology and cerebral amyloid beta (A beta), have shown excellent diagnostic ability for AD. Intense research efforts are being made to develop ultrasensitive detection techniques and find potent biomarkers for early AD diagnosis.
CELLULAR AND MOLECULAR NEUROBIOLOGY
(2023)
Article
Clinical Neurology
Haiyan Liu, Nicolas R. Barthelemy, Vitaliy Ovod, James G. Bollinger, Yingxin He, Samir L. Chahin, Brendan Androff, Randall J. Bateman, Brendan P. Lucey
Summary: Sleep deprivation increases cerebrospinal fluid (CSF) amyloid beta (Aβ) and tau levels, while decreasing plasma levels. These findings suggest that sleep loss affects plasma biomarkers of Alzheimer's disease and should be taken into account when interpreting individual plasma biomarkers.
ALZHEIMERS & DEMENTIA
(2023)
Article
Chemistry, Multidisciplinary
Arun Richard Chandrasekaran, Ken Halvorsen
Summary: Alzheimer's disease is a common neurodegenerative disorder, and microRNAs have emerged as potential regulators and biomarkers for the disease. A new technology, miRacles assay, allows for single-step detection of AD-related microRNAs without the need for amplification or labeling. Through screening 56 AD-related microRNAs, four were found to have detectable differences between RNA extracts from healthy and AD brain samples, showing promise for clinical use as diagnostic tools.
Review
Pharmacology & Pharmacy
Anas Ahmad, Mohammad Imran, Haseeb Ahsan
Summary: A biomarker is a measurable biological molecule that can serve as an index of normal or abnormal pathophysiology or the response to treatment. Different tissues in the body have distinct biomolecular make-ups called biomarkers, which include genes, proteins, and other biomolecules. Biomarkers can be objectively quantified through biochemical samples to evaluate an organism's exposure to normal or pathological processes or how it responds to drug interventions. Understanding the significance of biomarkers is crucial for efficient disease diagnosis and guiding treatment choices. Advances in omics technologies have allowed for the discovery of new biomarkers using various strategies like genomics, epigenetics, metabolomics, transcriptomics, lipid analysis, and protein studies. These biomarkers have been applied for screening normal and diseased tissue or serum samples and are valuable tools in pharmacology and therapeutics. This review summarizes various types of biomarkers, their classification, and monitoring and detection methods and strategies. It also discusses analytical techniques and clinically applicable biomarker sensing techniques, including recent developments in nanotechnology-based biomarker sensing and detection.
Review
Chemistry, Multidisciplinary
Li Li, Rendong He, Haili Yan, Zhengwei Leng, Shuang Zhu, Zhanjun Gu
Summary: This review provides a brief overview and analysis of the development of nanotechnology in Alzheimer's disease (AD). Through bibliometric analysis, the publishing trend, countries/institutions, reference sources, and research hotspots of AD-related nanotechnology are analyzed and visualized. The key roles of nanotechnology in both diagnostic and therapeutic aspects of AD are summarized, along with the potential nanotoxicity of nanomaterials. The review also highlights the prospects for the development of nanotechnology in AD applications.
Review
Chemistry, Analytical
Jie Fan, Xiuhua Wei, Hui Dong, Yintang Zhang, Yanli Zhou, Maotian Xu, Guoqing Xiao
Summary: This article reviews the recent advances in BACE1 activity detection techniques and discusses the challenges of applying these techniques to early diagnosis of AD and the future development trends.
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
(2022)
Article
Medical Laboratory Technology
Lauren M. Forgrave, J. Grace van der Gugten, Quyen Nguyen, Mari L. DeMarco
Summary: This study comprehensively evaluated pre-analytical and analytical factors for quantifying Aβ peptides using mass spectrometry. The results demonstrated minimal interference and improved analytical sensitivity and stability through method optimization, establishing acceptance and rejection criteria for CSF specimens in clinical laboratories.
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
(2022)
Article
Chemistry, Physical
Monialine Sousa de Oliveira, Emanuel Airton de Oliveira Farias, Agline Maria Santos de Sousa, Natalia Araujo Dioniso, Paulo Ronaldo Sousa Teixeira, Ana Siqueira do Nascimento Marreiro Teixeira, Durcilene Alves da Silva, Carla Eiras
Summary: Electrochemical sensors for detecting neurotransmitters have been extensively studied, with a proposed method using layer-by-layer films containing copper nanoparticles for electrochemical detection of serotonin showing high sensitivity and specificity, promising for biological sample analysis.
SURFACES AND INTERFACES
(2021)
Article
Clinical Neurology
Christina Rabe, Tobias Bittner, Alexander Jethwa, Ivonne Suridjan, Ekaterina Manuilova, Michel Friesenhahn, Erik Stomrud, Henrik Zetterberg, Kaj Blennow, Oskar Hansson
Summary: This study evaluated the clinical performance and robustness of plasma Aβ(42)/Aβ(40) as a prescreening tool for Alzheimer's disease. It found that there were misclassifications caused by measurement errors and pre-analytical errors, and suggested that other blood biomarkers may be easier to implement as robust prescreening tools.
ALZHEIMERS & DEMENTIA
(2023)
Article
Clinical Neurology
Inge M. W. Verberk, Els O. Misdorp, Jannet Koelewijn, Andrew J. Ball, Kaj Blennow, Jeffrey L. Dage, Noelia Fandos, Oskar Hansson, Christophe Hirtz, Shorena Janelidze, Sungmin Kang, Kristopher Kirmess, Jana Kindermans, Ryan Lee, Matthew R. Meyer, Dandan Shan, Leslie M. Shaw, Teresa Waligorska, Tim West, Henrik Zetterberg, Rebecca M. Edelmayer, Charlotte E. Teunissen
Summary: Pre-analytical sample handling can impact Alzheimer's disease blood-based biomarkers. Different collection tube types resulted in varying values of assessed markers, with delayed centrifugation and storage affecting A beta and t-tau. Standardized operating procedures for plasma handling were constructed to facilitate the incorporation of blood-based biomarkers into research and clinical settings.
ALZHEIMERS & DEMENTIA
(2022)
Article
Clinical Neurology
Clifford R. Jack Jr, Heather J. Wiste, Alicia Algeciras-Schimnich, Dan J. Figdore, Christopher G. Schwarz, Val J. Lowe, Vijay K. Ramanan, Prashanthi Vemuri, Michelle M. Mielke, David S. Knopman, Jonathan Graff-Radford, Bradley F. Boeve, Kejal Kantarci, Petrice M. Cogswell, Matthew L. Senjem, Jeffrey L. Gunter, Terry M. Therneau, Ronald C. Petersen
Summary: Staging the severity of Alzheimer's disease pathology is important for therapeutic trials and clinical prognosis. Biomarkers such as amyloid and tau PET can be used for disease staging, but plasma biomarkers would be more practical.
Article
Neurosciences
Xi Xiong, Haijun He, Qianqian Ye, Shuangjie Qian, Shuoting Zhou, Feifei Feng, Evandro F. Fang, Chenglong Xie
Summary: The study aims to determine the most accurate biomarkers within the ATN framework for diagnosing Alzheimer's disease (AD) and predicting longitudinal cognitive decline. Results show that CSF-A, neuroimaging-T, and neuroimaging-N have the highest potential for accurate diagnosis of AD. Neuroimaging-T and CSF-N also demonstrate excellent predictive ability for cognitive decline. Overall, plasma, CSF, and neuroimaging biomarkers differ significantly within the ATN framework, with CSF-A, neuroimaging-T, and neuroimaging-N being the most accurate target biomarkers for diagnosing AD.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Chemistry, Multidisciplinary
Sada Venkateswarlu, Saravanan Govindaraju, Roopkumar Sangubotla, Jongsung Kim, Min-Ho Lee, Kyusik Yun
Article
Chemistry, Physical
Roopkumar Sangubotla, Jongsung Kim
APPLIED SURFACE SCIENCE
(2019)
Article
Chemistry, Physical
Roopkumar Sangubotla, Buddolla Anantha Lakshmi, Sanghyo Kim, Jongsung Kim
APPLIED SURFACE SCIENCE
(2020)
Article
Materials Science, Biomaterials
Buddolla Anantha Lakshmi, Roopkumar Sangubotla, Jongsung Kim, Hyung-Tae Ha, Sanghyo Kim
Summary: A novel yellow-fluorescent carbon dots designed for sensing calcium ions exhibit excellent fluorescence properties and have potential application prospects.
MATERIALS SCIENCE AND ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS
(2021)
Article
Materials Science, Biomaterials
Roopkumar Sangubotla, Jongsung Kim
Summary: An efficient biosensor for detecting dopamine was developed based on a laccase immobilized fiber-optic system using synthesized carbon dots and enzyme immobilization techniques. The biosensor exhibited unique fluorescence characteristics and demonstrated significant fluorescence quenching for dopamine, making it suitable for multi-color imaging applications. The bioprobe displayed high detection sensitivity, biocompatibility, and stability in human neuroblastoma cells, with potential for practical use in serum and cerebrospinal fluid samples.
MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS
(2021)
Article
Chemistry, Applied
Roopkumar Sangubotla, Jongsung Kim
Summary: In this study, highly biocompatible carbon dots functionalized with tripeptide and phenylboronic acid ligands were successfully synthesized, demonstrating excellent sensing capabilities for dopamine and enabling bioimaging in human neuroblastoma cells.
Article
Materials Science, Ceramics
Roopkumar Sangubotla, Jongsung Kim
Summary: An enzyme-based fluorescent sensor using carbon dots derived from coffee waste was developed for detecting inhibitory neurotransmitters like gamma-aminobutyric acid (GABA). The sensor showed a detection range of 0-20 mu M and a detection limit of 95.09 nM for GABA. It was able to detect GABA intracellularly and showed high recovery values for real samples such as human serum.
CERAMICS INTERNATIONAL
(2023)
Article
Engineering, Chemical
Roopkumar Sangubotla, Jongsung Kim
Summary: In this study, a selectively recognizable fluorometric sensor based on carbon-rich zinc oxide-derived nano-structures (ZnO NSs) was developed for detecting the biomarker Neu5Ac in neurological disorders. The sensor showed high sensitivity and efficiency, with the potential for in vitro and in vivo detection of diverse neurological biomarkers.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
(2022)
Article
Materials Science, Ceramics
Roopkumar Sangubotla, Jongsung Kim
Summary: In this study, fluorescent sensors with high stability and sensitivity were synthesized, and fluorescence enhancement was observed through interaction with specific biomolecules, facilitating the detection of dopamine. The sensors demonstrated good performance in detecting dopamine in neuronal cells and human samples.
CERAMICS INTERNATIONAL
(2023)
Article
Chemistry, Physical
Roopkumar Sangubotla, Jongsung Kim
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY
(2024)
Review
Chemistry, Analytical
Claudia Campanale, Silvia Galafassi, Francesca Di Pippo, Iulian Pojar, Carmine Massarelli, Vito Felice Uricchio
Summary: Biodegradable plastic mulches (BDMs) have the potential to be an eco-friendly alternative to conventional plastic mulches in agriculture. However, their long-term impacts on soil ecosystems are still uncertain, and further research is needed. Incorporating BDMs into the soil may stimulate microbial activity, but there is also a risk of incomplete degradation and release of residual microplastics and additives.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Xuechi Yin, Sijie Liu, Deepak Kukkar, Jianlong Wang, Daohong Zhang, Ki-Hyun Kim
Summary: The lateral flow immunoassay strip is a classic and dominant tool in point-of-care detection, known for its portability and simplicity. However, current colored nanomaterials used as signal labels in LFIA have limited sensing potential, leading to the recognition of composite nanoparticles as alternatives to enhance sensitivity, signal readout diversity, anti-matrix interference, and cost-effectiveness.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Yaxin Cao, Longyi Shao, Timothy P. Jones, Wenjing Deng, M. Santosh, Pengju Liu, Cheng-Xue Yang, Yaowei Li, Daizhou Zhang, Kelly Berube
Summary: The toxicity of fibrous particles in ambient air can be higher than other types of particles. Microfibers can be organic or inorganic and their presence in the atmosphere as a result of human activity raises concerns for environmental and public health. Accurate collection, identification, and understanding of the health hazards associated with these fibers are crucial for mitigation strategies and protection of public health.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Chenchen Xie, Chen Meng, Huilin Liu, Baoguo Sun
Summary: The development of food hazard factor (FHF) detection has been moving towards on-site inspection and mobile law enforcement, calling for simple, fast, and affordable analysis technology to ensure food safety and quality. This review comprehensively summarizes the progress in research on smartphone-assisted MIP optosensors, focusing on the key issues of accuracy and sensitivity.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Guillem Peris-Pastor, Cristian Azorin, Jose Grau, Juan L. Benede, Alberto Chisvert
Summary: Green Analytical Chemistry plays an important role in every stage of method development, including sample preparation. Extraction techniques have evolved from conventional ones to a variety of miniaturized techniques in order to enhance analytical performance and ensure safety for operators and the environment. Green metric tools are used to evaluate the impact and sustainability of methods, with AGREEprep selected as the most suitable tool for evaluating published methods in various applications. The miniaturization of sample preparation strategies has led to the use of less and safer solvents, reduced waste generation and energy consumption, and improved portability and throughput.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Helena Hruskova, Roman Reminek, Frantisek Foret
Summary: This review article summarizes the progress and recent studies in offline electromigration preparative techniques between 2018 and 2023. It covers various techniques including electrophoresis, free-flow electrophoresis, isoelectric focusing, and isotachophoresis, providing theoretical aspects, trends, and solutions to existing limitations in each technique.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Mayank Garg, Nicole Pamme
Summary: This review focuses on the removal strategies of templates from molecularly imprinted polymers (MIPs) used in diagnostic biosensors. Chemical-based and electrochemical-based template extraction approaches are summarized and evaluated, providing guidance for researchers in the fields of analytical chemistry, diagnostics, and materials science for the design of MIP-based sensors.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Ivneet Banga, Anirban Paul, Nathan Kodjo Mintah Churcher, Ruchita Mahesh Kumar, Sriram Muthukumar, Shalini Prasad
Summary: Breathomics is an emerging field that focuses on analyzing exhaled breath to diagnose and monitor respiratory diseases. Electrochemical sensors, with their high sensitivity, selectivity, and low cost, play a significant role in breathomics and can be integrated into portable devices for point-of-care diagnosis.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Fabjola Bilo, Paola Cirelli, Laura Borgese
Summary: This review explores the application of X-ray fluorescence (XRF) spectrometry for elemental analysis of particulate matter (PM) in air quality monitoring. It discusses the fundamentals of XRF, experimental configurations, PM sampling devices and substrate, sample preparation strategies, qualitative and quantitative analysis, as well as the challenges faced by XRF in becoming a reliable analytical technique for PM analysis.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Hakim Faraji
Summary: The dispersive liquid-liquid microextraction (DLLME) technique is widely popular in analytical chemistry due to its high efficiency, cost-effectiveness, and simplicity. Recent advancements have addressed the limitations of DLLME, incorporating greener solvents, innovative dispersion strategies, and simplified procedures. These changes have made DLLME a more sustainable and efficient technique.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Sherin F. Hammad, Inas A. Abdallah, Alaa Bedair, Reda M. Abdelhameed, Marcello Locatelli, Fotouh R. Mansour
Summary: Carbon nanomaterials (CNMs) have excellent capabilities in terms of adsorption, enhanced oxidation, and photocatalysis, attracting widespread attention in different fields. Metal-organic frameworks (MOFs) have been widely used due to their regular network structure, porous nature, and large specific surface area. However, the instability of MOFs in aqueous solutions limits their applications in chemical sensing. Recent studies have focused on increasing the stability of MOFs in water-based matrices through chemical modifications using CNMs.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Alexandra Pape, Oliver J. Schmitz
Summary: Low temperature plasmas based on dielectric barrier discharges have emerged as a recent development in ion source research. These ion sources are applicable to heat-sensitive analytes and can ionize a wide range of compounds. Despite intensive research on important parameters such as configuration, shape, size, and materials in the past two decades, the actual ionization mechanism for all plasma gases has not been fully elucidated. This review provides an overview of atmospheric pressure ion sources, with a focus on plasma and dielectric barrier discharge based ion sources, summarizing the reactions occurring in the plasma and discussing the applications developed by different research groups.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Hai Xiong, Fengli Li, Linyu Zeng, Qiyu Lei
Summary: This review provides an overview of the emerging trends in the use of functional COF nanomaterials as biosensors for DNA/RNA detection. It summarizes the construction of DNA/RNA hybridized COF nanoprobes and their potential applications in bioanalyte detection, biosensing, biomarker imaging, and clinical biomedicine.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Bing Yan
Summary: This article summarizes the recent progress in logic gate computing and operation based on multiple luminescence response and chemical sensing for lanthanide functionalized MOF hybrid systems. The article first describes multi-color luminescence and the subsequent multiple luminescence response. The basic concept of logic gate operation and the advantages of lanthanide-based hybrid materials are then introduced. Reports on logic gate operation using pure lanthanide MOFs are provided, followed by a detailed summary of logic gate operations using lanthanide functionalized MOF hybrid materials. Additionally, the article discusses the practical luminescent detection of analytes by correlating the luminescence responsive signals and the concentration of different analytes. Finally, the article concludes with a prospect for this topic.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
Review
Chemistry, Analytical
Brij Mohan, Gurjaspreet Singh, Rakesh Kumar Gupta, Pawan Kumar Sharma, Alexander A. Solovev, Armando J. L. Pombeiro, Peng Ren
Summary: Porous materials, particularly hydrogen-bonded organic frameworks (HOFs), have gained significant attention due to their versatile applications and unique properties such as well-defined crystalline structure and easy regeneration processes. This article provides a comprehensive overview of HOFs, including synthesis methods, hydrogen bonding motifs, recent advancements, and potential applications, offering valuable guidance for further exploration in this dynamic field.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2024)
