Review
Medicine, Research & Experimental
Kanghong Xu, Chengpeng Zhang, Tiantian Du, Abakundana Nsenga Ariston Gabriel, Xue Wang, Xiaomeng Li, Li Sun, Nan Wang, Xinquan Jiang, Yi Zhang
Summary: Lung cancer has the highest incidence and mortality rates worldwide, lacking early diagnostic biomarkers. Exosomes, as a mode of intercellular communication, play a role in regulating physiological processes in lung cancer by delivering various biomolecules. Studying the role of exosomes in diagnosing and treating lung cancer is crucial for improving treatment outcomes.
BIOMEDICINE & PHARMACOTHERAPY
(2021)
Review
Biochemistry & Molecular Biology
Maria Michelle Papamichael, Charis Katsardis, Evangelia Sarandi, Spyridoula Georgaki, Eirini-Sofia Frima, Anastasia Varvarigou, Dimitris Tsoukalas
Summary: Pediatric asthma is a major public health challenge, affecting 5-20% of children in Europe and attributed to genetic susceptibility and environmental factors. Metabolomics, as an emerging approach, can provide deeper insight into the pathophysiological mechanisms of asthma, facilitate the discovery of early diagnostic markers and personalized therapies. Analyzing intermediate metabolites in clinical practice may have a positive impact on pediatric asthma management.
Review
Biochemistry & Molecular Biology
Marianna Gabriella Rispoli, Silvia Valentinuzzi, Giovanna De Luca, Piero Del Boccio, Luca Federici, Maria Di Ioia, Anna Digiovanni, Eleonora Agata Grasso, Valeria Pozzilli, Alessandro Villani, Antonio Maria Chiarelli, Marco Onofrj, Richard G. Wise, Damiana Pieragostino, Valentina Tomassini
Summary: Metabolomics-based technologies have the potential to serve as early indicators of neurological conditions, particularly in multiple sclerosis (MS), and as tools for diagnosis and treatment monitoring. Researchers have identified promising biomarkers and metabolic pathways through pathway analysis of metabolites, which could pave the way for novel research avenues.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Review
Biochemistry & Molecular Biology
Karolina H. Czarnecka-Chrebelska, Debjita Mukherjee, Sofya V. Maryanchik, Magdalena Rudzinska-Radecka
Summary: Chronic obstructive pulmonary disease (COPD) is a widespread chronic disease with high morbidity and mortality rates globally. Although long-term smoking is a major risk factor, the molecular mechanisms of COPD are still unclear. Various factors such as inflammation, protein imbalance, oxidative stress, and genetic modifications are believed to play a role in the development of emphysema. Furthermore, COPD is a significant risk factor for lung cancer, and the chronic inflammation accompanying COPD may contribute to its progression. Recent research on the molecular analysis of COPD and lung cancer has provided new insights into their pathogenesis, diagnosis, and treatment.
Article
Endocrinology & Metabolism
Yanfei Mao, Zhixin Ma, Chufan Xu, Zhou Lv, Wenwen Dong, Xinru Liu
Summary: This study aimed to investigate the metabolomes in the lung and plasma of mice receiving mechanical ventilation (MV). The results showed that MV altered the metabolism, including dysregulation of the GABA system and urea cycle, disturbance of the citric acid cycle, and redox imbalance. Additionally, significant differences were found in the lung and plasma metabolomes between different ventilation volumes.
Article
Endocrinology & Metabolism
Malak A. Jaber, Hicham Benabdelkamel, Lina A. Dahabiyeh, Afshan Masood, Reem H. AlMalki, Mohthash Musambil, Assim A. Alfadda, Anas M. Abdel Rahman
Summary: This study utilized untargeted metabolomics to explore metabolic patterns in patients with hyperthyroidism before and after treatment. The results showed significant differences in plasma metabolome post-treatment, suggesting acylcarnitines as potential biomarkers for monitoring treatment effectiveness.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Review
Biochemistry & Molecular Biology
Stefano Salciccia, Anna Laura Capriotti, Aldo Lagana, Stefano Fais, Mariantonia Logozzi, Ettore De Berardinis, Gian Maria Busetto, Giovanni Battista Di Pierro, Gian Piero Ricciuti, Francesco Del Giudice, Alessandro Sciarra, Peter R. Carroll, Matthew R. Cooperberg, Beatrice Sciarra, Martina Maggi
Summary: Early detection of prostate cancer relies on PSA levels, but it lacks the ability to distinguish between benign and clinically significant forms of the disease. New urinary and serum biomarkers have been developed, but specific guidelines on their use are currently lacking.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Biochemical Research Methods
Yijing Long, Chunyan Wang, Tianzhi Wang, Wenwen Li, Wei Dai, Shaohua Xie, Yonghui Tian, Mingxin Liu, Yifeng Liu, Xiaoqin Peng, Yuanling Liu, Yinchenxi Zhang, Ruxin Wang, Qiang Li, Yixiang Duan
Summary: Exhaled breath analysis has shown excellent performance in diagnosing lung cancer, especially in early stages and different subtypes of LC. The reliable biomarkers contribute to the clinical application of breath analysis for screening LC patients, including those in early stages.
JOURNAL OF BREATH RESEARCH
(2021)
Review
Chemistry, Analytical
Jie Tang, Kai Xiong, Tong Zhang, Han Han
Summary: Chronic liver disease is a challenging condition to diagnose accurately, but metabolomics provides a powerful tool for understanding its pathogenesis and improving clinical diagnosis and treatment.
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
(2022)
Review
Biochemistry & Molecular Biology
Reem Nooreldeen, Horacio Bach
Summary: Lung cancer is the leading cause of cancer-related deaths in North America and other developed countries, emphasizing the importance of early diagnosis. Current diagnostic methods have limitations and necessitate the search for new biomarkers to improve early detection rates.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Review
Oncology
Alba Loras, Cristina Segovia, Jose Luis Ruiz-Cerda
Summary: Current diagnostic and follow-up methods for bladder cancer have limitations and there is a need for non-invasive biomarkers. Personalized treatments can improve patient quality of life and overall survival. The interplay between epigenetics and metabolism is closely linked to tumor phenotype, providing valuable insights for researchers and clinical decision-making in the field of bladder cancer.
Article
Oncology
Adam H. Fox, Mizuki Nishino, Raymond U. Osarogiagbon, M. Patricia Rivera, Lauren S. Rosenthal, Robert A. Smith, Farhood Farjah, Lynette M. Sholl, Gerard A. Silvestri, Bruce E. Johnson
Summary: Advances in biomarker-driven therapies for NSCLC offer opportunities to improve patient outcomes, but also pose challenges for equitable care delivery. Multidisciplinary teams face the challenge of completing comprehensive and timely biomarker testing and navigating the evolving evidence base for this complex and time-sensitive disease.
CA-A CANCER JOURNAL FOR CLINICIANS
(2023)
Review
Immunology
Denise Battaglini, Miqueias Lopes-Pacheco, Hugo C. Castro-Faria-Neto, Paolo Pelosi, Patricia R. M. Rocco
Summary: This article summarizes the commonly used biomarkers in COVID-19, which play important roles in predicting disease severity, hospitalization, ICU admission, and mortality. It also discusses how novel analytical strategies can be applied in clinical practice, emphasizing the need for future research to focus on identifying a limited but essential number of laboratory biomarkers for predicting prognosis and outcomes in severe COVID-19.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Jie Zhang, Mark A. Keibler, Wentao Dong, Jenny Ghelfi, Thekla Cordes, Tamara Kanashova, Arnaud Pailot, Carole L. Linster, Gunnar Dittmar, Christian M. Metallo, Tim Lautenschlaeger, Karsten Hiller, Gregory Stephanopoulos
Summary: This study identifies erythronate as an accumulated metabolite in human cancer cell lines and identifies ALDH1A1 as the main enzyme involved in erythronate production. The findings suggest that erythronate accumulation may serve as a biomarker for certain types of cancer.
Article
Oncology
Daniel R. Schmidt, Rutulkumar Patel, David G. Kirsch, Caroline A. Lewis, Matthew G. Vander Heiden, Jason W. Locasale
Summary: Cancer has complex effects on cellular and systemic metabolism, with metabolomics playing a crucial role in providing insights for cancer diagnosis, monitoring, and therapy. Advances in technology have expanded the applications of metabolomics in clinical research, with the potential to further enhance cancer patient management in the future.
CA-A CANCER JOURNAL FOR CLINICIANS
(2021)
Article
Multidisciplinary Sciences
Ibrahim M. Chamseddine, Hermann B. Frieboes, Michael Kokkolaras
SCIENTIFIC REPORTS
(2020)
Correction
Oncology
Louis T. Curtis, Susanne Sebens, Hermann B. Frieboes
Summary: The original version of the article contains a mistake that needs to be corrected.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2021)
Article
Multidisciplinary Sciences
Yafei Wang, Erik Brodin, Kenichiro Nishii, Hermann B. Frieboes, Shannon M. Mumenthaler, Jessica L. Sparks, Paul Macklin
Summary: This study examines the biomechanical interactions between tumor and liver parenchyma during metastatic growth, using a multi-model approach. It investigates the role of these interactions in promoting liver metastasis and aims to identify conditions to clinically arrest and reverse the course of late-stage cancer.
SCIENTIFIC REPORTS
(2021)
Article
Endocrinology & Metabolism
Hunter A. Miller, Ramy Emam, Chip M. Lynch, Samuel Bockhorst, Hermann B. Frieboes
Summary: This study systematically examines the combined role of data pre-treatment and imputation methods on the performance of multivariate data analysis methods and their identification of potential biomarkers. The choice of pre-treatment and imputation methods is critical in defining candidate biomarkers, with deficient or inappropriate selection leading to inconsistent results.
Article
Biology
Dylan A. Goodin, Hermann B. Frieboes
Summary: Simulation of cm-scale tumor growth has been traditionally constrained by computational cost, with models limited to mm-scale or smaller tumors. This study presents a distributed computing implementation of a mixture model to simulate 3D cm-scale vascularized tissue at sub-mm resolution, using a two-stage parallelization framework with CUDA and MPI. Results show that this approach enables continuum modeling of cm-scale tumors at reasonable computational cost.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Oncology
Hunter A. Miller, Xinmin Yin, Susan A. Smith, Xiaoling Hu, Xiang Zhang, Jun Yan, Donald M. Miller, Victor H. van Berkel, Hermann B. Frieboes
Summary: This study explores predictive models for staging and chemotherapy response in non-small cell lung cancer based on metabolomic analysis of patient-derived core biopsies. Machine learning techniques were applied to differentiate between different disease statuses and treatment responses with high accuracy. The results demonstrate the potential for comprehensive evaluation of patient-specific metabolic profiles to guide clinical decision-making.
Article
Engineering, Biomedical
Hunter A. Miller, John Lowengrub, Hermann B. Frieboes
Summary: This study combines tumor metabolomic data with mathematical modeling for personalized simulation of tumor progression, providing a first step towards evaluating tumor growth based on metabolomic data.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Hunter A. Miller, Donald M. Miller, Victor H. van Berkel, Hermann B. Frieboes
Summary: This study used a multiscale modeling approach to evaluate the response of non-small cell lung cancer patients to first-line chemotherapy based on metabolomic analysis of tumor tissue. The results showed significant differences in patient classifications, providing a first step towards personalized lung cancer treatment prognosis.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Immunology
Dylan A. Goodin, Eric Chau, Anjana Tiwari, Biana Godin, Hermann B. Frieboes
Summary: Breast cancer liver metastases (BCLM) are difficult to treat with chemotherapy due to poor drug transportation. By targeting tumour-associated macrophages (TAM), the use of nanoalbumin-bound paclitaxel encapsulated in porous silicon multistage nanovectors (MSV) can improve therapeutic efficacy. Computational modeling allows for the evaluation and optimization of MSV-nab-PTX therapy for multiple BCLM.
Article
Pharmacology & Pharmacy
Anthony J. Kyser, Mohamed Y. Mahmoud, Sydney E. Herold, Warren G. Lewis, Amanda L. Lewis, Jill M. Steinbach-Rankins, Hermann B. Frieboes
Summary: This study formulates and characterizes novel metronidazole-containing 3D-printed silicone scaffolds for sustained antibiotic delivery to the female reproductive tract. The scaffolds showed high structural integrity and sustained release in simulated vaginal fluid. This study suggests that pressure-assisted microsyringe 3D-printed silicone scaffolds may be a versatile vehicle for sustained metronidazole delivery.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Article
Materials Science, Biomaterials
Anthony J. Kyser, Mohamed Y. Mahmoud, Nicholas T. Johnson, Bassam Fotouh, Jill M. Steinbach-Rankins, Nicole M. Gilbert, Hermann B. Frieboes
Summary: Catheter-associated urinary tract infections (CAUTI) are a significant healthcare burden. This study demonstrates the potential use of 3D bioprinting to create silicone catheters containing probiotic lactobacilli, which can release active compounds and potentially prevent or treat CAUTI.
ACS BIOMATERIALS SCIENCE & ENGINEERING
(2023)
Article
Endocrinology & Metabolism
Hunter A. Miller, Victor H. van Berkel, Hermann B. Frieboes
Summary: This study demonstrates the feasibility of using an ensemble machine learning approach to accurately predict patient survival based on metabolomic biomarkers from tumor core biopsies. The analysis of tumor tissue allows for a more accurate reflection of cancer metabolism and its impact on survival. The researchers identified a set of reliable biomarkers with potential clinical utility, which outperformed traditional predictors in predicting overall survival and progression-free survival.
Article
Endocrinology & Metabolism
Hunter A. Miller, Shesh N. Rai, Xinmin Yin, Xiang Zhang, Jason A. Chesney, Victor H. van Berkel, Hermann B. Frieboes
Summary: Metabolomic analysis of lung tumor core biopsies, combined with covariates, successfully stratified patients into low- and high-risk groups for predicting overall survival and progression-free survival.
Article
Oncology
Louis T. Curtis, Susanne Sebens, Hermann B. Frieboes
Summary: The study develops a modeling system to evaluate the effects of macrophage and T-lymphocyte interactions on tumor growth, highlighting the dynamic interactions in the tumor microenvironment. The results show that increasing the M1:M2 ratio may not achieve tumor regression due to saturation of the overall cytotoxic effect from macrophages and T-lymphocytes. Further expansion of the modeling platform could enable systematic evaluation of immunotherapeutic strategies tailored to specific tumor conditions.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2021)
Article
Computer Science, Information Systems
Fatma El-Zahraa A. El-Gamal, Mohammed M. Elmogy, Ashraf Khalil, Mohammed Ghazal, Jawad Yousaf, Xiaolu Qiu, Hassan H. Soliman, Ahmed Atwan, Hermann B. Frieboes, Gregory Neal Barnes, Ayman S. El-Baz
