Review
Oncology
Ryan M. Finnegan, Ahmed M. Elshazly, Patricia Schoenlein, David A. Gewirtz
Summary: This article reviews the relationship between endocrine therapies and autophagy, exploring the different functional roles of autophagy in response to these treatments. It is found that autophagy can have cytoprotective, non-protective, cytostatic, or cytotoxic effects on tumor cells, suggesting its potential as an adjuvant therapeutic modality for endocrine therapies.
Article
Biochemistry & Molecular Biology
Tsz Yan Fung, Ashok Iyaswamy, Sravan G. Sreenivasmurthy, Senthilkumar Krishnamoorthi, Xin-Jie Guan, Zhou Zhu, Cheng-Fu Su, Jia Liu, Yuxuan Kan, Yuan Zhang, Hoi Leong Xavier Wong, Min Li
Summary: This article reviews the role of Klotho in Alzheimer's disease (AD), including its effect on promoting amyloid-beta clearance and inducing autophagy for the clearance of toxic proteins through regulating the autophagy lysosomal pathway. The results of multiple studies suggest that targeting Klotho could be a potential therapeutic strategy in AD treatment.
Review
Pharmacology & Pharmacy
Liang Yan, Yachun Yan
Summary: The burden of liver diseases such as metabolic-associated fatty liver diseases and hepatocellular carcinoma has increased rapidly worldwide. However, pharmacological therapies for these liver diseases are insufficient. Sulforaphane (SFN), mainly found in cruciferous vegetables, has been found to have various beneficial effects on liver diseases, including ameliorating hepatic steatosis, improving insulin sensitivity, and inhibiting hepatoma cell proliferation. Despite its promising potential, limitations exist in the development of SFN as a hepatoprotective drug due to its special properties. Therefore, a comprehensive review of SFN in the treatment of liver diseases is conducted to provide a better understanding of its therapeutic potential.
FRONTIERS IN PHARMACOLOGY
(2023)
Review
Biochemistry & Molecular Biology
Sergio Almansa-Gomez, Francisco Prieto-Ruiz, Jose Cansado, Marisa Madrid
Summary: Autophagy plays a crucial role in the treatment of osteosarcoma by improving the efficacy of chemotherapy, targeting cancer stem cells, and preventing cancer recurrence. Future studies are needed to understand the molecular mechanisms of autophagy and the functioning of autophagic modulators, as well as to evaluate and optimize the potential adverse effects.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Immunology
Shuang-Lan Chen, Chun-Meng Li, Wei Li, Qing-Song Liu, Shuang-Yuan Hu, Mao-Yuan Zhao, Dong-Sen Hu, Yan-Wei Hao, Jin-Hao Zeng, Yi Zhang
Summary: Inflammatory bowel disease (IBD) is a group of disorders that cause chronic inflammation in the intestines, and the link between autophagy and intestinal health has been widely studied. This review focuses on how autophagy alleviates IBD through specific genes, crosstalk with multiple phenotypes, and autophagy-associated signaling pathways. Understanding the mechanism of autophagy in IBD can provide references for future therapeutic drug development and disease management.
FRONTIERS IN IMMUNOLOGY
(2023)
Review
Cell Biology
Srinivasa Reddy Bonam, Christine Tranchant, Sylviane Muller
Summary: Cellular quality control systems, particularly autophagy, play a crucial role in cell survival and maintaining homeostasis. Different types of autophagy pathways show varying degrees of selectivity towards substrates. In neurodegenerative diseases, such as Parkinson's disease, autophagy is important and therapeutic strategies targeting autophagy may alter disease progression.
Review
Pharmacology & Pharmacy
Hongjing Zhou, Shiyun Pu, Houfeng Zhou, Yuanxin Guo
Summary: Klotho protein can delay aging and is associated with various aging-related diseases. By increasing Klotho expression, therapeutic effects can be achieved for these diseases, as Klotho plays a role in regulating the autophagic process.
FRONTIERS IN PHARMACOLOGY
(2021)
Review
Neurosciences
Fengjuan Jiao, Bojie Zhou, Lingyan Meng
Summary: This review discusses the regulation and functions of transcription factor EB (TFEB) in the autophagy-lysosomal pathway (ALP), as well as its role in various neurodegenerative diseases. The protective effects and molecular mechanisms of TFEB-targeted agonists in neurodegeneration are summarized, and the pros and cons of these agonists in the treatment of neurodegenerative diseases are analyzed from the perspective of drug development. Further studies on the regulatory mechanisms of TFEB in other biological processes will enhance our understanding of the application of TFEB-targeted therapy in neurodegeneration.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Review
Pharmacology & Pharmacy
Wei Zhang, Chengchao Xu, Jichao Sun, Han-Ming Shen, Jigang Wang, Chuanbin Yang
Summary: Alzheimer's disease is a common neurodegenerative disorder characterized by memory loss and cognitive dysfunction. Impaired autophagy-lysosomal pathway is linked to AD pathogenesis, and enhancing autophagy to remove protein aggregates is proposed as a promising therapeutic strategy.
ACTA PHARMACEUTICA SINICA B
(2022)
Article
Chemistry, Medicinal
Zhichao Fan, Lin-Xi Wan, Wei Jiang, Bo Liu, Dongbo Wu
Summary: This study summarizes the complex relationships between autophagy and various human diseases, and discusses the recent progress of small-molecule activators targeting autophagy in treating human diseases.
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
(2023)
Review
Biochemistry & Molecular Biology
Mengying Cui, Tamotsu Yoshimori, Shuhei Nakamura
Summary: Autophagy is a process that involves the sequestration and degradation of cytoplasmic contents, including protein aggregates and damaged organelles. Impairment of autophagy exacerbates neurodegenerative diseases, while sufficient autophagic activity can ameliorate the pathology. This article summarizes recent progress in understanding the role of autophagy in neurodegenerative diseases and the potential therapies associated with autophagy.
NEUROCHEMISTRY INTERNATIONAL
(2022)
Review
Biochemistry & Molecular Biology
Jerry R. Colca, Brian N. Finck
Summary: Alzheimer's and Parkinson's Diseases are neurodegenerative disorders with no disease-modifying treatments currently available. These diseases involve maladaptive protein processing and inflammation, and are connected to aging and dysmetabolism. The insulin sensitizer pioglitazone has shown effectiveness in both diseases, and its previously unrecognized target, the mitochondrial pyruvate carrier, has been discovered. Understanding the molecular mechanisms of pyruvate metabolism modification is important for understanding the general pathology of neurodegeneration and developing therapeutic approaches.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Review
Chemistry, Medicinal
Xiaoqian Wu, Zumei Liu, Xi-Yong Yu, Suowen Xu, Jiandong Luo
Summary: Autophagy plays a crucial role in cardiac diseases, and various natural products/phytochemicals have been shown to regulate autophagy in cardiomyocytes. These compounds are essential for designing novel therapeutic agents for cardiac diseases.
MEDICINAL RESEARCH REVIEWS
(2021)
Review
Pharmacology & Pharmacy
Shilu Luo, Ming Yang, Hao Zhao, Yachun Han, Na Jiang, Jinfei Yang, Wei Chen, Chenrui Li, Yan Liu, Chanyue Zhao, Lin Sun
Summary: Caveolin-1 (Cav-1) plays a crucial role in regulating cellular endocytosis, stress responses, and signal transduction. It is involved in mediating the endocytosis of albumin, cholesterol, and glucose, participating in cellular metabolic reprogramming, and contributing to the progression of kidney disease. Cav-1 also serves as a potential therapeutic target for the treatment of kidney disease.
FRONTIERS IN PHARMACOLOGY
(2021)
Review
Medicine, Research & Experimental
Rishi Kant Singh, Sanjay Kumar, Sandeep Kumar, Alok Shukla, Naveen Kumar, Anand Kumar Patel, Lokesh Kumar Yadav, Meera Kaushalendra, Meera Antiwal, Arbind Acharya
Summary: PKCa is a multitasking molecule that is crucial for cell survival and maintaining cellular homeostasis. Alterations in its normal functioning contribute to the development of various diseases such as cancer, cardiovascular diseases, kidney complications, neurodegenerative diseases, and diabetes. Numerous studies have been conducted to understand the roles and regulation of PKCa in physiological and pathological conditions, leading to a complex framework of its implications that require further investigation. This review critically examines the diverse functions and molecular mechanisms of PKCa in basic cellular processes during pathological conditions, and proposes PKCa as a potential therapeutic target for reversing pathological states.
Article
Computer Science, Interdisciplinary Applications
Carlo Russo, Sidong Liu, Antonio Di Ieva
Summary: MRI is used for brain tumor assessment, and DCNN has potential in brain tumor segmentation tasks but may fail on different dataset volumes. Utilizing a 3D spherical coordinates transform during preprocessing can improve model accuracy and generalizability.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Clinical Neurology
Kaishin W. Tanaka, Carlo Russo, Sidong Liu, Marcus A. Stoodley, Antonio Di Ieva
Summary: VGG19 and ResNet50 CNN models can be trained to automatically detect clinically significant CM1 on MRI with high sensitivity and specificity. These models have the potential to be developed into clinical support tools for diagnosing CM1.
Review
Clinical Neurology
Kelvin Koong, Veronica Preda, Anne Jian, Benoit Liquet-Weiland, Antonio Di Ieva
Summary: A systematic review of literature on the application of machine learning in MRI radiomics of common sellar tumors indicates its potential significance in diagnosis and prediction of treatment outcomes. Future research directions should focus on accurate prediction of specific tumor characteristics and treatment outcomes for patients with pituitary neuroendocrine and other sellar tumors in both research and clinical practice.
Article
Clinical Neurology
Miles H. McCaffrey, Tillman Wolf Boesel, Antonio Di Ieva
Summary: This study presents a new method of insertion and anchoring of a mental nerve stimulator for the treatment of refractory neuropathic pain. By anchoring the stimulator lead to the mandibular body, significant analgesic effect was achieved and no lead migration occurred.
BRITISH JOURNAL OF NEUROSURGERY
(2022)
Review
Endocrinology & Metabolism
Shlomo Melmed, Ursula B. Kaiser, M. Beatriz Lopes, Jerome Bertherat, Luis Syro, Gerald Raverot, Martin Reincke, Gudmundur Johannsson, Albert Beckers, Maria Fleseriu, Andrea Giustina, John A. H. Wass, Ken K. Y. Ho
Summary: Pituitary neoplasms are common and mostly benign, but can have diverse effects on health. Understanding the clinical biology of these neoplasms is important for implementing appropriate treatment strategies and improving quality of life and mortality.
Article
Clinical Neurology
Kathryn Busch, Andrew Davidson, Antonio Di Ieva, Nazih Assaad, Mark Butlin, Alberto Avolio, Hosen Kiat
Summary: This study used non-invasive monitoring methods to evaluate the hemodynamic measurements of bAVM patients before and after surgery, and found significant venous changes after surgery. The velocity and pulsatility of the middle cerebral veins increased postoperatively and stabilized within 14 days.
JOURNAL OF CLINICAL NEUROSCIENCE
(2022)
Review
Clinical Neurology
Anne Jian, Sidong Liu, Antonio Di Ieva
Summary: Survival prediction for brain tumor patients is crucial for surgical planning, treatment selection, and counseling. However, current clinical factors and radiological characteristics are insufficient for accurately predicting survival, especially in heterogeneous tumors like glioma. Artificial intelligence offers powerful tools to capture hidden imaging features that reflect tumor structure and physiology, improving the accuracy of survival prediction.
Letter
Clinical Neurology
Antonio Di Ieva
NEURO-ONCOLOGY PRACTICE
(2023)
Article
Medical Laboratory Technology
Laya Jose, Sidong Liu, Carlo Russo, Cong Cong, Yang Song, Michael Rodriguez, Antonio Di Ieva
Summary: A deep learning-based approach for automated classification of glioma histopathology images was proposed in this study. Two different deep neural network architectures were tested, and the multiclass method outperformed the ensemble method. The proposed method can assist in the diagnosis and classification of glioma histopathology images.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
(2023)
Article
Biochemistry & Molecular Biology
Jennilee M. Davidson, Stephanie L. Rayner, Sidong Liu, Flora Cheng, Antonio Di Ieva, Roger S. Chung, Albert Lee
Summary: Proteomics has great potential in studying the molecular regulation of the human brain. This study compared the efficiency of two different protein-extraction buffers on formalin-fixed human brains, and found that a lysis buffer containing TrisHCl, SDS, SDC, and Triton X-100 had superior protein extraction performance. The analysis also revealed differential enrichment of proteins in different brain regions, indicating commonalities in the molecular regulation of neuroanatomically-linked brain functions. Overall, the study developed an optimized method for protein extraction from formalin-fixed human brain tissue and demonstrated its suitability for rapid and routine analysis of molecular signaling pathways in the human brain.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Ecology
Daniel Peptenatu, Ion Andronache, Helmut Ahammer, Marko Radulovic, Jennifer K. Costanza, Herbert F. Jelinek, Antonio Di Ieva, Kohei Koyama, Alexandra Grecu, Andreea Karina Gruia, Adrian-Gabriel Simion, Iulia Daniela Nedelcu, Cosmin Olteanu, Cristian-Constantin Draghici, Marian Marin, Daniel Constantin Diaconu, Rasmus Fensholt, Erica A. Newman
Summary: This study presents a new fractal fragmentation and disorder index (FFDI) that can efficiently quantify the shape and arrangement of fragments in images. Validation results show that FFDI outperforms existing metrics in resolving spatial patterns of disorder and fragmentation. The FFDI improves the monitoring and understanding of forest fragmentation from satellite imagery and may have wider applicability in biology where image analysis is used.
Article
Neurosciences
Jennilee M. Davidson, Sharlynn S. L. Wu, Stephanie L. Rayner, Flora Cheng, Kimberley Duncan, Carlo Russo, Michelle Newbery, Kunjie Ding, Natalie M. Scherer, Rachelle Balez, Alberto Garcia-Redondo, Alberto Rabano, Livia Rosa-Fernandes, Lezanne Ooi, Kelly L. Williams, Marco Morsch, Ian P. Blair, Antonio Di Ieva, Shu Yang, Roger S. Chung, Albert Lee
Summary: This study reveals the role of cyclin F in regulating substrate solubility and its contribution to the pathogenesis of ALS and FTD. The ALS and FTD-associated protein p62 is identified as a substrate of cyclin F, and its aggregation is promoted by cyclin F expression. Mutations in cyclin F result in dysregulated p62 solubility and formation of p62 foci, which are associated with ALS and FTD pathogenesis.
MOLECULAR NEUROBIOLOGY
(2023)
Review
Clinical Neurology
Miracle C. Anokwute, Veronica Preda, Antonio Di Ieva
Summary: This study reviewed the literature on multidisciplinary team meetings (MDTMs) in neurosurgical care and identified limiting factors that may introduce bias to patient care. Productive MDTMs were found to involve quaternary/tertiary referral centers, a nonhierarchical environment, regularly scheduled meetings, inclusion of nonmedical factors, and use of clinical guidelines and institutional protocols. However, the use of artificial intelligence to reduce bias was not described in the literature.
WORLD NEUROSURGERY
(2023)
Review
Oncology
Mehnaz Tabassum, Abdulla Al Suman, Eric Suero Molina, Elizabeth Pan, Antonio Di Ieva, Sidong Liu
Summary: Radiomics is a method of extracting quantitative features from medical images, providing more detailed and objective information about tumor features. Machine learning techniques can enhance tumor diagnosis, treatment response assessment, and patient prognosis prediction. However, practical application of radiomics in clinical settings still needs improvement.
Review
Pharmacology & Pharmacy
Mahsa Vaezzadeh, Ehsan Kachooei, Shivani Krishnamurthy, Preeti Manandhar, Annemarie Nadort, Gilles J. Guillemin, Antonio Di Ieva, Marina Santiago, Benjamin Heng, Anna Guller
Summary: Combination drug therapy is a promising strategy to improve treatment outcomes for glioblastoma patients. However, there is a lack of clarity in drug testing using 3D in vitro models of glioblastoma. This review explores the available literature on the application of temozolomide (TMZ) in 3D in vitro models of glioblastoma, providing a roadmap for future combination treatment research.
ADVANCED THERAPEUTICS
(2023)
