Review
Cardiac & Cardiovascular Systems
Bingchen Guo, Zhaoyue Li, Peiyang Tu, Hao Tang, Yingfeng Tu
Summary: Thrombosis in atherosclerosis patients can have life-threatening consequences, emphasizing the importance of early detection and treatment. Traditional imaging modalities have limitations in detecting early thrombus formation, but novel molecular and non-molecular imaging strategies have improved diagnostic accuracy. These advancements have led to reduced rates of atherothrombotic events and better management of cardiovascular health in patients.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2021)
Review
Biochemistry & Molecular Biology
Avan Kader, Julia Brangsch, Jan O. Kaufmann, Jing Zhao, Dilyana B. Mangarova, Jana Moeckel, Lisa C. Adams, Ingolf Sack, Matthias Taupitz, Bernd Hamm, Marcus R. Makowski
Summary: This review summarizes recent developments in molecular imaging markers for magnetic resonance imaging of prostate cancer, aiming to improve the molecular characterization of the tumor and enable targeted therapies to suppress tumor growth or reduce tumor size in a non-invasive manner.
Review
Chemistry, Multidisciplinary
Jing Zhao, Cong Wang, Wanbing Sun, Cong Li
Summary: Excising epileptic foci (EF) is the most efficient approach for treating drug-resistant epilepsy (DRE), but accurate localization of EF is challenging. Finding biomarkers that represent the status of epilepsy and developing probes with high targeting specificity are important for identifying concealed EF. This review summarizes potential biomarkers of EF and classifies them into functional, molecular, and structural aberrances. It also highlights the materials used in fabricating imaging probes and their performance in preclinical and clinical studies. The review discusses perspectives on developing the next generation of probes and the challenges in clinical translation.
ADVANCED MATERIALS
(2022)
Review
Chemistry, Multidisciplinary
Bingqian Lin, Feng Xiao, Jinting Jiang, Zhengjia Zhao, Xiang Zhou
Summary: Molecular imaging plays a crucial role in visualizing and analyzing molecular events. Aptamers, widely employed in molecular imaging, offer a wide range of applications for various targets and imaging modalities.
Article
Engineering, Biomedical
Hongping Deng, Jingxuan Ju, Xuan Mo, Guangbo Ge, Xinyuan Zhu
Summary: In vivo imaging and tracking of macrophage behaviors are crucial for understanding their biological functions and fate in various diseases. To overcome the limitations of small molecular probes, researchers have developed functional nanoprobes for targeted imaging of macrophages in different diseases such as cancer, atherosclerosis, and obesity. This review systematically summarizes the recent advances in nanoprobes for in vivo and ex vivo imaging of macrophages, as well as discusses the challenges and prospects of achieving precise imaging of macrophages with improved signal-to-background ratios.
Article
Chemistry, Multidisciplinary
Seong Ho Kim, Isaac T. S. Li
Summary: DNA-PAINT achieves super-resolution imaging by transiently binding fluorescently-labelled single-stranded DNA imagers to target ssDNA. However, background fluorescence from imagers limits its performance, resulting in longer image acquisition and potential artifacts. To overcome this, we designed a molecular beacon (MB) as the PAINT imager, which reduces background fluorescence when unbound and becomes fluorogenic upon binding to target DNA. We demonstrated that MB-PAINT achieves similar localization precision as traditional linear imager DNA-PAINT and is ideal for fast super-resolution imaging of molecular tension probes in living cells, eliminating potential artifacts from free-diffusing imagers at the cell-substrate interface.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Review
Medicine, General & Internal
Kaname Uno, Tomoyuki Koike, Waku Hatta, Masahiro Saito, Mizuki Tanabe, Atsushi Masamune
Summary: This article reviews the recent developments in advanced imaging and molecular imaging for monitoring Barrett's esophagus neoplasia. It emphasizes the limitations of current surveillance methods and introduces new technologies such as advanced imaging systems and molecular biomarkers that have the potential to improve early detection and provide information for precision medicine.
Review
Chemistry, Multidisciplinary
Xianbin Ma, Meng-Jie Zhang, Jingting Wang, Tian Zhang, Peng Xue, Yuejun Kang, Zhi-Jun Sun, Zhigang Xu
Summary: This article comprehensively summarizes the latest advances in using imaging technology to predict the response rate to immunotherapy, with a focus on the application of nanosystem-based biomaterials. By using various imaging methods, nanosystems can differentiate responders from non-responders to immunotherapy, showing great potential in the prediction and diagnosis of tumors, inflammation, and other diseases.
ADVANCED MATERIALS
(2022)
Review
Pharmacology & Pharmacy
Xiaowei Wang, Melanie Ziegler, James D. McFadyen, Karlheinz Peter
Summary: Molecular imaging is a rapidly advancing field that offers improved understanding of thrombotic diseases and the exciting prospect of earlier diagnosis and individualized therapy through better disease markers, contrast agents, and scanner technologies.
BRITISH JOURNAL OF PHARMACOLOGY
(2021)
Article
Multidisciplinary Sciences
Zhenzhen Wang, Xiaoqing Hu, Xiaorui Xue, Shengpeng Zhou, Xiaokai Li, Yizhang Yang, Jiaqi Zhou, Zheng Shu, Banchi Zhao, Xitao Yu, Maomao Gong, Zhenpeng Wang, Pan Ma, Yong Wu, Xiangjun Chen, Jianguo Wang, Xueguang Ren, Chuncheng Wang, Dajun Ding
Summary: By developing a laser-induced electron recollision-assisted Coulomb explosion imaging approach and molecular dynamics simulations, the authors captured snapshots of the vibrational wave-packets of the excited and ground states of D2O+ simultaneously with sub-10 picometre and few-femtosecond precision. These results provide comprehensive structural information for studying the fascinating molecular dynamics of water, and pave the way towards making a movie of excited state-resolved ultrafast molecular dynamics and light-induced chemical reaction.
NATURE COMMUNICATIONS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gerard N. Bischof, Donna J. Cross
Summary: Imaging techniques such as CT or MRI fail to provide specific imaging correlation for mild traumatic brain injury (TBI) that would explain cognitive and clinical symptoms. Molecular imaging using PET suggests that secondary events after injury can be detected, but no single pattern can aid in diagnosing the injury or predicting long-term behavioral changes, indicating the heterogeneous and diffuse nature of TBI. Chronic traumatic encephalopathy (CTE), associated with repetitive TBI, has shown mixed results and overall low retention profiles in athletes using tau PET tracers. The lack of mechanistic understanding of chronic TBI poses a challenge in interpreting molecular imaging biomarkers, and better target identification, improved analysis techniques, and novel tracer development are advocated.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Mei Tian, Xuexin He, Chentao Jin, Xiao He, Shuang Wu, Rui Zhou, Xiaohui Zhang, Kai Zhang, Weizhong Gu, Jing Wang, Hong Zhang
Summary: Pathology is a medical specialty focused on studying the nature and causes of disease, and plays a crucial role in connecting basic research and clinical medicine. Challenges such as invasiveness and sample representativeness limitations exist in traditional pathology, while molecular imaging provides a noninvasive way to visualize and measure biological processes at the molecular level. A new pathophysiology visualization system based on molecular imaging is showing great potential in reforming pathological practice, driving improvements in trans-scale imaging, transparency, and translation processes.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Review
Chemistry, Applied
Jingxuan Ju, Danni Xu, Xuan Mo, Jiaqian Miao, Li Xu, Guangbo Ge, Xinyuan Zhu, Hongping Deng
Summary: Imaging and tracking biological targets or processes are important for understanding molecular mechanisms and diseases. Nanoprobes made from polysaccharides and contrast agents offer enhanced imaging capabilities for various diseases. This review provides an overview of different imaging modalities and polysaccharides, highlighting the recent progress of polysaccharide-based nanoprobes and discussing future directions for development and application.
CARBOHYDRATE POLYMERS
(2023)
Review
Chemistry, Multidisciplinary
Zhen Li, Caixia Wang, Meng Zhang, Songjiao Li, Zhiqiang Mao, Zhihong Liu
Summary: The brain, as the most pivotal organ of the human body, is susceptible to various disorders and trauma. Despite considerable efforts in treatment, brain diseases remain a leading cause of death and disability globally, making early diagnosis crucial for prevention and treatment. Luminescent probes, particularly activatable ones, are promising tools for brain disease diagnosis, offering real-time semi-quantification of biomarkers and investigation of pathological mechanisms at the molecular level.
Article
Chemistry, Multidisciplinary
Vanessa Jing Xin Phua, Chang-Tong Yang, Bin Xia, Sean Xuexian Yan, Jiang Liu, Swee Eng Aw, Tao He, David Chee Eng Ng
Summary: Nuclear imaging is a rapidly developing non-invasive imaging technique that uses radiolabeled nanomaterials as probes. By modifying the surface of nanomaterials, multifunctional radio-labeled nanomaterials can be obtained, enabling high sensitivity, resolution, and specificity in multimodal molecular imaging.
Article
Biochemistry & Molecular Biology
Evangelos Simeonidis, Ettore Murabito, Kieran Smallbone, Hans V. Westerhoff
BIOCHEMICAL SOCIETY TRANSACTIONS
(2010)
Article
Biology
Kieran Smallbone, Philip K. Maini, Robert A. Gatenby
Article
Biochemistry & Molecular Biology
Oluwafemi Davies, Pedro Mendes, Kieran Smallbone, Naglis Malys
Article
Mathematical & Computational Biology
Paul D. Dobson, Kieran Smallbone, Daniel Jameson, Evangelos Simeonidis, Karin Lanthaler, Pinar Pir, Chuan Lu, Neil Swainston, Warwick B. Dunn, Paul Fisher, Duncan Hull, Marie Brown, Olusegun Oshota, Natalie J. Stanford, Douglas B. Kell, Ross D. King, Stephen G. Oliver, Robert D. Stevens, Pedro Mendes
BMC SYSTEMS BIOLOGY
(2010)
Article
Mathematical & Computational Biology
Kieran Smallbone, Evangelos Simeonidis, Neil Swainston, Pedro Mendes
BMC SYSTEMS BIOLOGY
(2010)
Article
Mathematical & Computational Biology
Dave Lee, Kieran Smallbone, Warwick B. Dunn, Ettore Murabito, Catherine L. Winder, Douglas B. Kell, Pedro Mendes, Neil Swainston
BMC SYSTEMS BIOLOGY
(2012)
Article
Mathematical & Computational Biology
Benjamin D. Heavner, Kieran Smallbone, Brandon Barker, Pedro Mendes, Larry P. Walker
BMC SYSTEMS BIOLOGY
(2012)
Article
Biochemistry & Molecular Biology
Neil Swainston, Martin Golebiewski, Hanan L. Messiha, Naglis Malys, Renate Kania, Sylvestre Kengne, Olga Krebs, Saqib Mir, Heidrun Sauer-Danzwith, Kieran Smallbone, Andreas Weidemann, Ulrike Wittig, Douglas B. Kell, Pedro Mendes, Wolfgang Mueller, Norman W. Paton, Isabel Rojas
Article
Biochemistry & Molecular Biology
Kieran Smallbone, Hanan L. Messiha, Kathleen M. Carroll, Catherine L. Winder, Naglis Malys, Warwick B. Dunn, Ettore Murabito, Neil Swainston, Joseph O. Dada, Farid Khan, Pinar Pir, Evangelos Simeonidis, Irena Spasic, Jill Wishart, Dieter Weichart, Neil W. Hayes, Daniel Jameson, David S. Broomhead, Stephen G. Oliver, Simon J. Gaskell, John E. G. McCarthy, Norman W. Paton, Hans V. Westerhoff, Douglas B. Kell, Pedro Mendes
Article
Multidisciplinary Sciences
Ettore Murabito, Kieran Smallbone, Jonathan Swinton, Hans V. Westerhoff, Ralf Steuer
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2011)
Article
Biology
Marcus J. Tindall, Louise Dyson, Kieran Smallbone, Philip K. Maini
JOURNAL OF THEORETICAL BIOLOGY
(2012)
Article
Biotechnology & Applied Microbiology
Ines Thiele, Neil Swainston, Ronan M. T. Fleming, Andreas Hoppe, Swagatika Sahoo, Maike K. Aurich, Hulda Haraldsdottir, Monica L. Mo, Ottar Rolfsson, Miranda D. Stobbe, Stefan G. Thorleifsson, Rasmus Agren, Christian Boelling, Sergio Bordel, Arvind K. Chavali, Paul Dobson, Warwick B. Dunn, Lukas Endler, David Hala, Michael Hucka, Duncan Hull, Daniel Jameson, Neema Jamshidi, Jon J. Jonsson, Nick Juty, Sarah Keating, Intawat Nookaew, Nicolas Le Novere, Naglis Malys, Alexander Mazein, Jason A. Papin, Nathan D. Price, Evgeni Selkov, Martin I. Sigurdsson, Evangelos Simeonidis, Nikolaus Sonnenschein, Kieran Smallbone, Anatoly Sorokin, Johannes H. G. M. van Beek, Dieter Weichart, Igor Goryanin, Jens Nielsen, Hans V. Westerhoff, Douglas B. Kell, Pedro Mendes, Bernhard O. Palsson
NATURE BIOTECHNOLOGY
(2013)
Article
Multidisciplinary Sciences
Jose M. Canete-Valdeon, Roel Wieringa, Kieran Smallbone
NATURWISSENSCHAFTEN
(2012)
Article
Mathematical & Computational Biology
Benjamin D. Heavner, Kieran Smallbone, Nathan D. Price, Larry P. Walker
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2013)
Article
Mathematical & Computational Biology
Neil Swainston, Kieran Smallbone, Pedro Mendes', Douglas B. Kell, Norman W. Paton
JOURNAL OF INTEGRATIVE BIOINFORMATICS
(2011)
Article
Biology
Iain Hunter, Raz Leib
Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Andy Gardner
Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker
Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Haruto Tomizuka, Yuuya Tachiki
Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Jason W. Olejarz, Martin A. Nowak
Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti
Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Beatrix Rahnsch, Leila Taghizadeh
Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Rongsheng Huang, Qiaojun Situ, Jinzhi Lei
Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao
Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid
Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Armindo Salvador
Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
