Athanasios Xanthopoulos, Iliana Daskalopoulou, Sofia Frountzi, E. Papadimitriou
Angiogenesis is essential during development or when tissue restoration and oxygenation is required. Limited or excessive formation of blood vessels is a hallmark of several pathologies, and many angiogenesis-related pathways are being studied to highlight potential targets for effective angiogenesis-stimulating or inhibiting therapeutic approaches. A few studies point to the adrenergic system as a significant regulator of angiogenesis, directly or indirectly. Functional adrenergic receptors are expressed on endothelial cells and affect their response to the adrenergic system. The latter can also upregulate the release of growth factors by mural cells of the vessel wall, blood cells or cancer cells, thus subsequently affecting endothelial cell functions and angiogenesis. In the present study we summarize up-to-date literature on the known effects of the adrenergic receptors on physiological and pathological angiogenesis.
{"title":"A Systematic Review on the Role of Adrenergic Receptors in Angiogenesis Regulation in Health and Disease","authors":"Athanasios Xanthopoulos, Iliana Daskalopoulou, Sofia Frountzi, E. Papadimitriou","doi":"10.3390/ijtm1030021","DOIUrl":"https://doi.org/10.3390/ijtm1030021","url":null,"abstract":"Angiogenesis is essential during development or when tissue restoration and oxygenation is required. Limited or excessive formation of blood vessels is a hallmark of several pathologies, and many angiogenesis-related pathways are being studied to highlight potential targets for effective angiogenesis-stimulating or inhibiting therapeutic approaches. A few studies point to the adrenergic system as a significant regulator of angiogenesis, directly or indirectly. Functional adrenergic receptors are expressed on endothelial cells and affect their response to the adrenergic system. The latter can also upregulate the release of growth factors by mural cells of the vessel wall, blood cells or cancer cells, thus subsequently affecting endothelial cell functions and angiogenesis. In the present study we summarize up-to-date literature on the known effects of the adrenergic receptors on physiological and pathological angiogenesis.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85686186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diagnosis and management of proliferative diabetic retinopathy are reliant upon retinal imaging. A systematic literature review of non-invasive imaging to guide diagnosis and treatment of proliferative diabetic retinopathy was performed. There is a trend of moving away from invasive (e.g., fundus fluorescein angiography) to non-invasive (e.g., wide-field optical coherence tomography (OCT), OCT angiography and colour fundus photography) imaging modalities to allow for more objective assessments that can be readily repeated in a time-efficient manner without compromising patient safety. Such quantitative assessments generating large amounts of data could benefit from artificial intelligence approaches to aid clinical decision making. These non-invasive imaging modalities continue to improve both in terms of the quality of image acquisition and progress in image interpretation. It is important that newer non-invasive imaging modalities are appropriately validated in large-scale prospective observational studies or randomised clinical trials.
{"title":"Developments in Non-Invasive Imaging to Guide Diagnosis and Treatment of Proliferative Diabetic Retinopathy: A Systematic Review","authors":"Ellie Bowditch, Andrew Chang, H. Mehta","doi":"10.3390/ijtm1030020","DOIUrl":"https://doi.org/10.3390/ijtm1030020","url":null,"abstract":"Diagnosis and management of proliferative diabetic retinopathy are reliant upon retinal imaging. A systematic literature review of non-invasive imaging to guide diagnosis and treatment of proliferative diabetic retinopathy was performed. There is a trend of moving away from invasive (e.g., fundus fluorescein angiography) to non-invasive (e.g., wide-field optical coherence tomography (OCT), OCT angiography and colour fundus photography) imaging modalities to allow for more objective assessments that can be readily repeated in a time-efficient manner without compromising patient safety. Such quantitative assessments generating large amounts of data could benefit from artificial intelligence approaches to aid clinical decision making. These non-invasive imaging modalities continue to improve both in terms of the quality of image acquisition and progress in image interpretation. It is important that newer non-invasive imaging modalities are appropriately validated in large-scale prospective observational studies or randomised clinical trials.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76541168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This is the world’s first tutorial article on Python Packaging for beginners and practitioners for translational medicine or medicine in general. This tutorial will allow researchers to demonstrate and showcase their tools on PyPI packages around the world. Nowadays, for translational medicine, researchers need to deal with big data. This paper describes how to build an executable Python Package Index (PyPI) code and package. PyPI is a repository of software for the Python programming language with 5,019,737 files and 544,359 users (programmers) as of 19 October 2021. First, programmers must understand how to scrape a dataset over the Internet; second, they must read the dataset file in csv format; third, build a program to compute the target values; fourth, convert the Python program to the PyPI package.; and fifth, upload the PyPI package. This paper depicts a covidlag executable package as an example for calculating the accurate case fatality rate (CFR) and the lag time from infection to death. You can install the covidlag by pip terminal command and test it. This paper also introduces deathdaily and scorecovid packages on PyPI Stats, which can inform how many users have downloaded the specified PyPI package. The usefulness and applicability of a developed tool can be verified by PyPI Stats with the number of downloaded users.
{"title":"Python Programming in PyPI for Translational Medicine","authors":"Yoshiyasu Takefuji","doi":"10.3390/ijtm1030019","DOIUrl":"https://doi.org/10.3390/ijtm1030019","url":null,"abstract":"This is the world’s first tutorial article on Python Packaging for beginners and practitioners for translational medicine or medicine in general. This tutorial will allow researchers to demonstrate and showcase their tools on PyPI packages around the world. Nowadays, for translational medicine, researchers need to deal with big data. This paper describes how to build an executable Python Package Index (PyPI) code and package. PyPI is a repository of software for the Python programming language with 5,019,737 files and 544,359 users (programmers) as of 19 October 2021. First, programmers must understand how to scrape a dataset over the Internet; second, they must read the dataset file in csv format; third, build a program to compute the target values; fourth, convert the Python program to the PyPI package.; and fifth, upload the PyPI package. This paper depicts a covidlag executable package as an example for calculating the accurate case fatality rate (CFR) and the lag time from infection to death. You can install the covidlag by pip terminal command and test it. This paper also introduces deathdaily and scorecovid packages on PyPI Stats, which can inform how many users have downloaded the specified PyPI package. The usefulness and applicability of a developed tool can be verified by PyPI Stats with the number of downloaded users.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87447152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tatiana Borodina, D. Kostyushev, A. Zamyatnin, A. Parodi
The incidence of diabetes and the pathological conditions associated with chronic hyperglycemia is increasing worldwide. Among them, diabetic retinopathy represents a leading cause of vision loss, causing a significant structural and functional impairment of the retinal and choroidal capillary network. Current therapies include anti-angiogenic and anti-inflammatory drugs administered through repetitive and invasive intraocular injections, and associated with significant adverse effects. The presence of ocular barriers affects the efficiency of topically administered therapeutics for treating the posterior segment of the eye. In this scenario, nanomedicine could improve current therapies for diabetic retinopathy by providing tools that can decrease the number of injections thanks to their controlled release properties, while some materials showed a natural ability to mitigate pathological neo-angiogenesis. Moreover, specific surface modifications could open new scenarios for the development of topical treatments. This review describes current advances in generating nanomedicine for diabetic retinopathy, focusing on the properties of the different materials tested explicitly for this purpose.
{"title":"Nanomedicine for Treating Diabetic Retinopathy Vascular Degeneration","authors":"Tatiana Borodina, D. Kostyushev, A. Zamyatnin, A. Parodi","doi":"10.3390/ijtm1030018","DOIUrl":"https://doi.org/10.3390/ijtm1030018","url":null,"abstract":"The incidence of diabetes and the pathological conditions associated with chronic hyperglycemia is increasing worldwide. Among them, diabetic retinopathy represents a leading cause of vision loss, causing a significant structural and functional impairment of the retinal and choroidal capillary network. Current therapies include anti-angiogenic and anti-inflammatory drugs administered through repetitive and invasive intraocular injections, and associated with significant adverse effects. The presence of ocular barriers affects the efficiency of topically administered therapeutics for treating the posterior segment of the eye. In this scenario, nanomedicine could improve current therapies for diabetic retinopathy by providing tools that can decrease the number of injections thanks to their controlled release properties, while some materials showed a natural ability to mitigate pathological neo-angiogenesis. Moreover, specific surface modifications could open new scenarios for the development of topical treatments. This review describes current advances in generating nanomedicine for diabetic retinopathy, focusing on the properties of the different materials tested explicitly for this purpose.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78903122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes mellitus (DM), a disorder rapidly growing in prevalence, is linked to the retinal microvasculature complication diabetic retinopathy (DR). As one of the leading global causes of vision impairment and loss, imaging techniques to detect and monitor DR must continue to improve in order to address this growing burden. Optical coherence tomography angiography (OCTA) is a nascent imaging modality that generates three-dimensional visualizations of the retinal and choroidal microvasculature. Compared to fluorescein angiography, the gold-standard imaging modality for retinal vessels, OCTA offers the advantages of being non-invasive, quick, and able to resolve the multiple plexuses within the retina. Quantitative OCTA studies have explored parameters such as vessel density (VD), foveal avascular zone (FAZ), acircularity index, vessel tortuosity (VT), and fractal dimension (FD) amongst DR patients. This review synthesizes the main trends emerging from quantitative OCTA-based studies of DR and interrogates them within the context of DR pathophysiology. We offer a glimpse into how analysis techniques have shifted in the years since OCTA came into existence, while speculating on its future role in clinical practice.
{"title":"Review of OCT Angiography Findings in Diabetic Retinopathy: Insights and Perspectives","authors":"J. Moir, S. Khanna, D. Skondra","doi":"10.3390/ijtm1030017","DOIUrl":"https://doi.org/10.3390/ijtm1030017","url":null,"abstract":"Diabetes mellitus (DM), a disorder rapidly growing in prevalence, is linked to the retinal microvasculature complication diabetic retinopathy (DR). As one of the leading global causes of vision impairment and loss, imaging techniques to detect and monitor DR must continue to improve in order to address this growing burden. Optical coherence tomography angiography (OCTA) is a nascent imaging modality that generates three-dimensional visualizations of the retinal and choroidal microvasculature. Compared to fluorescein angiography, the gold-standard imaging modality for retinal vessels, OCTA offers the advantages of being non-invasive, quick, and able to resolve the multiple plexuses within the retina. Quantitative OCTA studies have explored parameters such as vessel density (VD), foveal avascular zone (FAZ), acircularity index, vessel tortuosity (VT), and fractal dimension (FD) amongst DR patients. This review synthesizes the main trends emerging from quantitative OCTA-based studies of DR and interrogates them within the context of DR pathophysiology. We offer a glimpse into how analysis techniques have shifted in the years since OCTA came into existence, while speculating on its future role in clinical practice.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83286838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael F. Royer, Nicolas Guerithault, B. Braden, M. Laska, M. Bruening
Food insecurity (FI) has negative implications across the life course that include poor health outcomes among both children and adults. However, the behavioral mechanisms by which FI impacts health behaviors are not clear. By understanding how FI is related to cognitive function/brain structure across the life course, we can design more targeted interventions. A systematic literature review was performed by conducting comprehensive database searches in Google Scholar and PubMed. Inclusion criteria required studies to include measures of FI and cognitive function/brain structure in humans. Study sample, design, outcomes, and biases were extracted. In total, 17 studies met the inclusion criteria. Cognitive domains included general cognition (n = 13), executive function (n = 10), visuospatial abilities (n = 4), and verbal memory (n = 8). No studies examined brain structure. Most studies (88%) indicated significant inverse associations between FI and cognitive function across all stages of the life course, particularly for general cognition and executive function. Significant inverse associations were observed between FI and either general cognition or executive function among children (n = 3) and adults (n = 12). All studies considered confounding variables; however, given that all were observational, no causality can be inferred from the findings. These findings indicate that FI is related to lower cognitive function across the life course. Research should explore how changes in food security status impacts cognitive function and brain structure to develop optimal FI interventions and improve cognitive health.
{"title":"Food Insecurity Is Associated with Cognitive Function: A Systematic Review of Findings across the Life Course","authors":"Michael F. Royer, Nicolas Guerithault, B. Braden, M. Laska, M. Bruening","doi":"10.3390/ijtm1030015","DOIUrl":"https://doi.org/10.3390/ijtm1030015","url":null,"abstract":"Food insecurity (FI) has negative implications across the life course that include poor health outcomes among both children and adults. However, the behavioral mechanisms by which FI impacts health behaviors are not clear. By understanding how FI is related to cognitive function/brain structure across the life course, we can design more targeted interventions. A systematic literature review was performed by conducting comprehensive database searches in Google Scholar and PubMed. Inclusion criteria required studies to include measures of FI and cognitive function/brain structure in humans. Study sample, design, outcomes, and biases were extracted. In total, 17 studies met the inclusion criteria. Cognitive domains included general cognition (n = 13), executive function (n = 10), visuospatial abilities (n = 4), and verbal memory (n = 8). No studies examined brain structure. Most studies (88%) indicated significant inverse associations between FI and cognitive function across all stages of the life course, particularly for general cognition and executive function. Significant inverse associations were observed between FI and either general cognition or executive function among children (n = 3) and adults (n = 12). All studies considered confounding variables; however, given that all were observational, no causality can be inferred from the findings. These findings indicate that FI is related to lower cognitive function across the life course. Research should explore how changes in food security status impacts cognitive function and brain structure to develop optimal FI interventions and improve cognitive health.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85134589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Inflammatory bowel disease (IBD) is a group of chronic inflammatory disorders that affects many individuals throughout their lives. Ulcerative colitis (UC) and Crohn’s disease (CD) are two major forms of IBD. Until the early 1990s, a murine model of spontaneous chronic colitis was unavailable. As a major breakthrough in the basic research field of IBD, three genetically manipulated murine chronic colitis models, including interleukin (IL)-2 knockout (KO), IL-10 KO, and T cell receptor alpha chain (TCRα) KO models, were established in 1993. Since then, complicated immunobiological mechanisms during the development of UC have been gradually discovered by utilizing a wide variety of murine models of IBD, including the TCRα KO mouse model. In particular, it has been recognized that four major factors, including enteric, environmental, and immunological factors as well as enteric microbiota are highly and mutually involved in the pathogenesis of UC. As a pioneer of the TCRα KO murine model of UC, our group has identified that the interactions between the unique TCRα-β+ T cell population and antigen-presenting cells, including dendritic cells and B cells, play a key role for the development and regulation of UC-like chronic colitis, respectively. Here we have summarized clinically proven pathogenic and regulatory factors which have been identified by this novel TCRα KO murine model of UC in the past nearly three decades.
{"title":"Biological Analyses-Derived Translational Findings in the T Cell Receptor Alpha Chain Knockout Mouse as an Experimental Model for Ulcerative Colitis","authors":"E. Mizoguchi, Takayuki Sadanaga, Toshiyuki Okada","doi":"10.3390/ijtm1030014","DOIUrl":"https://doi.org/10.3390/ijtm1030014","url":null,"abstract":"Inflammatory bowel disease (IBD) is a group of chronic inflammatory disorders that affects many individuals throughout their lives. Ulcerative colitis (UC) and Crohn’s disease (CD) are two major forms of IBD. Until the early 1990s, a murine model of spontaneous chronic colitis was unavailable. As a major breakthrough in the basic research field of IBD, three genetically manipulated murine chronic colitis models, including interleukin (IL)-2 knockout (KO), IL-10 KO, and T cell receptor alpha chain (TCRα) KO models, were established in 1993. Since then, complicated immunobiological mechanisms during the development of UC have been gradually discovered by utilizing a wide variety of murine models of IBD, including the TCRα KO mouse model. In particular, it has been recognized that four major factors, including enteric, environmental, and immunological factors as well as enteric microbiota are highly and mutually involved in the pathogenesis of UC. As a pioneer of the TCRα KO murine model of UC, our group has identified that the interactions between the unique TCRα-β+ T cell population and antigen-presenting cells, including dendritic cells and B cells, play a key role for the development and regulation of UC-like chronic colitis, respectively. Here we have summarized clinically proven pathogenic and regulatory factors which have been identified by this novel TCRα KO murine model of UC in the past nearly three decades.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85477951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-18DOI: 10.20944/preprints202110.0242.v1
S. Brogi, V. Calderone
The huge advancement of Internet web facilities as well as the progress in computing and algorithm development, along with current innovations regarding high-throughput techniques enables the scientific community to gain access to biological datasets, clinical data, and several databases containing billions of information concerning scientific knowledge. Consequently, during the last decade the system for managing, analyzing, processing and extrapolating information from scientific data has been considerably modified in several fields including the medical one. As a consequence of the mentioned scenario, scientific vocabulary was enriched by novel lexicons such as Machine Learning (ML)/Deep Learning (DL) and overall Artificial Intelligence (AI). Beyond the terminology, these computational techniques are revolutionizing the scientific research in drug discovery pitch, from the preclinical studies to clinical investigation. Interestingly, between preclinical and clinical research, the translational research is benefitting from computer-based approaches, transforming the design and execution of the translational research, resulting in breakthroughs for advancing human health. Accordingly, in this review article, we analyze the most advanced applications of AI in translational medicine, providing an up-to-date outlook regarding this emerging field.
{"title":"Artificial Intelligence in Translational Medicine","authors":"S. Brogi, V. Calderone","doi":"10.20944/preprints202110.0242.v1","DOIUrl":"https://doi.org/10.20944/preprints202110.0242.v1","url":null,"abstract":"The huge advancement of Internet web facilities as well as the progress in computing and algorithm development, along with current innovations regarding high-throughput techniques enables the scientific community to gain access to biological datasets, clinical data, and several databases containing billions of information concerning scientific knowledge. Consequently, during the last decade the system for managing, analyzing, processing and extrapolating information from scientific data has been considerably modified in several fields including the medical one. As a consequence of the mentioned scenario, scientific vocabulary was enriched by novel lexicons such as Machine Learning (ML)/Deep Learning (DL) and overall Artificial Intelligence (AI). Beyond the terminology, these computational techniques are revolutionizing the scientific research in drug discovery pitch, from the preclinical studies to clinical investigation. Interestingly, between preclinical and clinical research, the translational research is benefitting from computer-based approaches, transforming the design and execution of the translational research, resulting in breakthroughs for advancing human health. Accordingly, in this review article, we analyze the most advanced applications of AI in translational medicine, providing an up-to-date outlook regarding this emerging field.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89416252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The progression of diabetes leads to macro and microvascular complications, including diabetic neuropathy, which is the most prevalent microvascular complication with diabetes. Clinical manifestations of diabetic neuropathy begin with the loss of distal sensory function, pain, and substantial morbidity. It has been evident that ~50% of diabetic patients develop neuropathy at a certain stage in their lifetime. Interestingly, two major subtypes (type I and II) of diabetes do not share the same epidemiology and pathophysiology of diabetic neuropathy; thus, their management or treatment strategies may vary from each other. The past few decades of research suggest that many etiological features, diagnosis, and management complexities depend on the type of diabetes. However, the underlying mechanism of neuropathy in type I and type II diabetes remains unclear. This review provides the current knowledge on successful assessment, management, and pharmacological biomarkers to explore the treatment and surpass current challenges in diabetic neuropathy.
{"title":"Challenges in Diabetic Micro-Complication Management: Focus on Diabetic Neuropathy","authors":"Prawej Ansari, J. Hannan, S. Azam, M. Jakaria","doi":"10.3390/ijtm1030013","DOIUrl":"https://doi.org/10.3390/ijtm1030013","url":null,"abstract":"The progression of diabetes leads to macro and microvascular complications, including diabetic neuropathy, which is the most prevalent microvascular complication with diabetes. Clinical manifestations of diabetic neuropathy begin with the loss of distal sensory function, pain, and substantial morbidity. It has been evident that ~50% of diabetic patients develop neuropathy at a certain stage in their lifetime. Interestingly, two major subtypes (type I and II) of diabetes do not share the same epidemiology and pathophysiology of diabetic neuropathy; thus, their management or treatment strategies may vary from each other. The past few decades of research suggest that many etiological features, diagnosis, and management complexities depend on the type of diabetes. However, the underlying mechanism of neuropathy in type I and type II diabetes remains unclear. This review provides the current knowledge on successful assessment, management, and pharmacological biomarkers to explore the treatment and surpass current challenges in diabetic neuropathy.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88015662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For many years the growth of solid tumors has been associated with their vascularization. The new vessels are needed to deliver oxygen and nutrients within the tumor mass. At the same time, these poorly stabilized vessels act as “Trojan horses” and open a way out for cancer cells. More recently, tumors have been identified whose growth appears to be independent of endothelial cell activity. Here we describe the ability of cancer cells to differentiate and reorganize themself in channels similar to blood vessels containing blood flow, overcoming the need for the angiogenic process of tumor vascularization. Together with the new vessels arising both from angiogenic and vasculogenic processes, these vessel-like structures can be exploited by tumor cells as a guide for migration and metastatic dissemination. In addition to classical intravascular dissemination, cancer cells can acquire pericytic features, interact with the endothelial basal lamina and migrate toward vessels or outside of the vessels. As expected, these alternative tumor behaviors assume greater importance if we consider that drugs with anti-angiogenic action directed against endothelial cells or their ligands are currently used in cancer therapy.
{"title":"The Metastatic Capacity of Melanoma Reveals Alternative Pathways of Cancer Dissemination","authors":"Michela Corsini, C. Ravelli, E. Grillo, S. Mitola","doi":"10.3390/ijtm1030012","DOIUrl":"https://doi.org/10.3390/ijtm1030012","url":null,"abstract":"For many years the growth of solid tumors has been associated with their vascularization. The new vessels are needed to deliver oxygen and nutrients within the tumor mass. At the same time, these poorly stabilized vessels act as “Trojan horses” and open a way out for cancer cells. More recently, tumors have been identified whose growth appears to be independent of endothelial cell activity. Here we describe the ability of cancer cells to differentiate and reorganize themself in channels similar to blood vessels containing blood flow, overcoming the need for the angiogenic process of tumor vascularization. Together with the new vessels arising both from angiogenic and vasculogenic processes, these vessel-like structures can be exploited by tumor cells as a guide for migration and metastatic dissemination. In addition to classical intravascular dissemination, cancer cells can acquire pericytic features, interact with the endothelial basal lamina and migrate toward vessels or outside of the vessels. As expected, these alternative tumor behaviors assume greater importance if we consider that drugs with anti-angiogenic action directed against endothelial cells or their ligands are currently used in cancer therapy.","PeriodicalId":43005,"journal":{"name":"Journal of International Translational Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84918434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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