Pub Date : 2023-04-10DOI: 10.2174/2210298103666230410105139
Liquid biopsies in cancer have received considerable attention as new biomarkers and subjects of clinical translational research. Liquid biopsy-derived biomarkers, including circulating tumor cells, cell-free nucleic acids, exosomes, tumor-educated platelets, proteins, and metabolites, have shown enormous potential to improve the sensitivity and specificity in early diagnosis of multiple cancer types, including hepatocellular carcinoma (HCC). Several analytes are already used in HCC clinical trials and are currently under investigation with encouraging preliminary results. This article will review the latest studies on liquid biopsy for early diagnosis and screening of HCC and discuss the current advantages and challenges of liquid biopsies in tumor biomarkers and clinical applications. In the future, the validation of large prospective clinical studies, the development of standardized operating procedures, and the integration of other diagnostic tools will open new avenues for applying liquid biopsy in early cancer detection.
{"title":"Liquid biopsy for early diagnosis of hepatocellular carcinoma: Current state and future perspectives","authors":"","doi":"10.2174/2210298103666230410105139","DOIUrl":"https://doi.org/10.2174/2210298103666230410105139","url":null,"abstract":"\u0000\u0000Liquid biopsies in cancer have received considerable attention as new biomarkers and subjects of clinical translational research. Liquid biopsy-derived biomarkers, including circulating tumor cells, cell-free nucleic acids, exosomes, tumor-educated platelets, proteins, and metabolites, have shown enormous potential to improve the sensitivity and specificity in early diagnosis of multiple cancer types, including hepatocellular carcinoma (HCC). Several analytes are already used in HCC clinical trials and are currently under investigation with encouraging preliminary results. This article will review the latest studies on liquid biopsy for early diagnosis and screening of HCC and discuss the current advantages and challenges of liquid biopsies in tumor biomarkers and clinical applications. In the future, the validation of large prospective clinical studies, the development of standardized operating procedures, and the integration of other diagnostic tools will open new avenues for applying liquid biopsy in early cancer detection.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128282516","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}
Recently, two-dimensional (2D) materials have gained immense attention, as they are promising in various application fields, such as energy storage, thermal management, photodetectors, catalysis, field-effect transistors, and photovoltaic modules. These merits of 2D materials are attributed to their unique structure and properties. Chirality is an intrinsic property of a substance, which means the substance can not overlap with its mirror image. Significant progress has been made in chiral science, for chirality uniquely influences a chiral substance's performance. With the rapid development of chiral science, it became unveiled that chirality not only exists in chiral organic molecules but can also be induced in 2D inorganic materials and 2D organic-inorganic hybrid materials by breaking the chiral symmetry within their framework to form 2D chiral materials. Compared with 2D materials that do not have chirality, these 2D inorganic chiral materials and 2D organic-inorganic hybrid chiral materials exhibit innovative performance due to chiral symmetry breaking. Nevertheless, at present, only a fraction of work is available which comprehensively sums up the progress of these promising 2D chiral materials. Thus, given their high potential, it is urgent to summarize these newly developed 2D chiral materials comprehensively. In the current study, to feature and highlight their major significance, the recent progress of 2D inorganic materials and 2D organic-inorganic hybrid materials from their chemical composition and categories, application potential associated with their unique properties, and present synthesis strategies to fabricate them along with discussion concerning the development challenges and their bright future were reviewed. This review is anticipated to be instructive and provide a high understanding of advanced functional 2D materials with chirality.
{"title":"Advances in Two-dimensional (2D) Inorganic Chiral Materials and 2D Organic-inorganic Hybrid Chiral Materials","authors":"Wenyan Zhang, Hangmin Guan, Yingfei Hu, Wen Wang, Fei Liu, Xiaoli Yang, Lingyun Hao","doi":"10.2174/2210298103666230406095730","DOIUrl":"https://doi.org/10.2174/2210298103666230406095730","url":null,"abstract":"\u0000\u0000Recently, two-dimensional (2D) materials have gained immense attention, as they are promising in various application fields, such as energy storage, thermal management, photodetectors, catalysis, field-effect transistors, and photovoltaic modules. These merits of 2D materials are attributed to their unique structure and properties. Chirality is an intrinsic property of a substance, which means the substance can not overlap with its mirror image. Significant progress has been made in chiral science, for chirality uniquely influences a chiral substance's performance. With the rapid development of chiral science, it became unveiled that chirality not only exists in chiral organic molecules but can also be induced in 2D inorganic materials and 2D organic-inorganic hybrid materials by breaking the chiral symmetry within their framework to form 2D chiral materials. Compared with 2D materials that do not have chirality, these 2D inorganic chiral materials and 2D organic-inorganic hybrid chiral materials exhibit innovative performance due to chiral symmetry breaking. Nevertheless, at present, only a fraction of work is available which comprehensively sums up the progress of these promising 2D chiral materials. Thus, given their high potential, it is urgent to summarize these newly developed 2D chiral materials comprehensively. In the current study, to feature and highlight their major significance, the recent progress of 2D inorganic materials and 2D organic-inorganic hybrid materials from their chemical composition and categories, application potential associated with their unique properties, and present synthesis strategies to fabricate them along with discussion concerning the development challenges and their bright future were reviewed. This review is anticipated to be instructive and provide a high understanding of advanced functional 2D materials with chirality.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123449710","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 : 2023-04-01DOI: 10.2174/221029810302230222162146
Ya-qiu Jin
{"title":"Meet the Honorary Senior Advisor","authors":"Ya-qiu Jin","doi":"10.2174/221029810302230222162146","DOIUrl":"https://doi.org/10.2174/221029810302230222162146","url":null,"abstract":"","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"376 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804646","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 : 2023-04-01DOI: 10.2174/2210298102666220607152443
Philip Wk Chung, Sunny Tc So, Edward Kh Chu
Background: Hong Kong is situated on the coast of the south-eastern tip of China. A sub-tropical climate brings this coastal city a rainy season from April to October each year. Rainfall intensities as high as 50 mm to 100 mm per hour and 250 mm to 350 mm in 24 hours are not uncommon. With the hilly terrain and densely populated development, Hong Kong is susceptible to land-sliding during heavy rainstorms. Concerted efforts have been made by the Geotechnical Engineering Office (GEO) of the Hong Kong Special Administrative Region Government, to operate and enhance a territory-wide Landslip Warning System continuously, as a major component of landslide risk management tools in Hong Kong, since its establishment in 1977. Forewarning the public of possible landslide risks due to heavy rainstorms and triggering an emergency system within the government to deal with landslide incidents are the major objectives of the Landslip Warning System. This paper presents the development and enhancement of the comprehensive people-centred early warning system for landslides in Hong Kong, based on a framework of an early warning system with four major elements, including risk knowledge, monitoring and warning services, communication and dissemination, and response capability. Methods: With good quality landslide, rainfall and slope databases, landslide prediction models have been developed and continuously updated using statistical means to assess the severity of landslides based on real-time rainfall and rainfall forecast. For the purpose of an effective and robust operation of the Landslip Warning System, the latest Internet of Things (IoT) and cloud computing technologies have been deployed to operate the GEO Rainguage System collecting, transmitting and processing real-time rainfall data over the territory of Hong Kong, and to enhance system redundancy and resilience for data analysis and information dissemination. Results: To have an effective communication and dissemination of the Landslip Warning information to the community, various public education activities have been carried out regularly to promote public awareness of landslide risks and promote personal precautionary measures during heavy rainstorms. Conclusion: Well-established procedures for the operation of the Landslip Warning System have been developed to trigger the internal emergency mechanism within the government to deal with the landslide danger, with the support of innovative solutions to enhance the capability and efficiency of emergency responses.
{"title":"Landslip Warning System in Hong Kong - Over 40 Years of Evolution","authors":"Philip Wk Chung, Sunny Tc So, Edward Kh Chu","doi":"10.2174/2210298102666220607152443","DOIUrl":"https://doi.org/10.2174/2210298102666220607152443","url":null,"abstract":"Background: Hong Kong is situated on the coast of the south-eastern tip of China. A sub-tropical climate brings this coastal city a rainy season from April to October each year. Rainfall intensities as high as 50 mm to 100 mm per hour and 250 mm to 350 mm in 24 hours are not uncommon. With the hilly terrain and densely populated development, Hong Kong is susceptible to land-sliding during heavy rainstorms. Concerted efforts have been made by the Geotechnical Engineering Office (GEO) of the Hong Kong Special Administrative Region Government, to operate and enhance a territory-wide Landslip Warning System continuously, as a major component of landslide risk management tools in Hong Kong, since its establishment in 1977. Forewarning the public of possible landslide risks due to heavy rainstorms and triggering an emergency system within the government to deal with landslide incidents are the major objectives of the Landslip Warning System. This paper presents the development and enhancement of the comprehensive people-centred early warning system for landslides in Hong Kong, based on a framework of an early warning system with four major elements, including risk knowledge, monitoring and warning services, communication and dissemination, and response capability. Methods: With good quality landslide, rainfall and slope databases, landslide prediction models have been developed and continuously updated using statistical means to assess the severity of landslides based on real-time rainfall and rainfall forecast. For the purpose of an effective and robust operation of the Landslip Warning System, the latest Internet of Things (IoT) and cloud computing technologies have been deployed to operate the GEO Rainguage System collecting, transmitting and processing real-time rainfall data over the territory of Hong Kong, and to enhance system redundancy and resilience for data analysis and information dissemination. Results: To have an effective communication and dissemination of the Landslip Warning information to the community, various public education activities have been carried out regularly to promote public awareness of landslide risks and promote personal precautionary measures during heavy rainstorms. Conclusion: Well-established procedures for the operation of the Landslip Warning System have been developed to trigger the internal emergency mechanism within the government to deal with the landslide danger, with the support of innovative solutions to enhance the capability and efficiency of emergency responses.","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136186804","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 : 2023-03-09DOI: 10.2174/2210298103666230309150002
Ankul Singh S, Mohammad Nezamuddin Khan, Anusruthi Mallela, M. Nishanthi, Lakshmi Chandran
Infertility in men is more than 50% of cases and the real cause of infertility cannot be determined by various factors and lack of technology. Infertility in males is a rising health concern across the globe affecting around 7 percent of the total male population in the world. Various risk factors are associated with several diseases’ outcomes and those involved have been shown to cause Infertility with male background due to their prone habits. Assisted Reproductive Technology (ART) has evolved so far as treatment options for Infertility by manipulating sperm or egg for a woman to conceive being the only hope of bearing a biological child. Ancient medical techniques could be enhanced using augmented reality with additional metrics to include orientation, 3D location of speculations, and proximity to adjacent structures. With image-guided surgery, the need to integrate medical imaging with surgery has promoted the research for new visualization modalities based on AR, as surgical guidance or tool for surgical planning/ diagnosis. Moreover, AR has its advantage in high-quality data curation which establishes the fact that both AI and AR can be associated together and make it useful in the imaging of Infertile Men. At present, research focuses on improving sperm retrieval and assisted conception methods and perhaps in the future less invasive procedures like AI and AR may be an option that provide Insight into data curation and enhanced intelligence in the Imaging of cells.
{"title":"Pre-clinical and Clinical evidence associated with infertility in Men: Future aspects","authors":"Ankul Singh S, Mohammad Nezamuddin Khan, Anusruthi Mallela, M. Nishanthi, Lakshmi Chandran","doi":"10.2174/2210298103666230309150002","DOIUrl":"https://doi.org/10.2174/2210298103666230309150002","url":null,"abstract":"\u0000\u0000Infertility in men is more than 50% of cases and the real cause of infertility cannot be determined by various factors and lack of technology. Infertility in males is a rising health concern across the globe affecting around 7 percent of the total male population in the world. Various risk factors are associated with several diseases’ outcomes and those involved have been shown to cause Infertility with male background due to their prone habits. Assisted Reproductive Technology (ART) has evolved so far as treatment options for Infertility by manipulating sperm or egg for a woman to conceive being the only hope of bearing a biological child. Ancient medical techniques could be enhanced using augmented reality with additional metrics to include orientation, 3D location of speculations, and proximity to adjacent structures. With image-guided surgery, the need to integrate medical imaging with surgery has promoted the research for new visualization modalities based on AR, as surgical guidance or tool for surgical planning/ diagnosis. Moreover, AR has its advantage in high-quality data curation which establishes the fact that both AI and AR can be associated together and make it useful in the imaging of Infertile Men. At present, research focuses on improving sperm retrieval and assisted conception methods and perhaps in the future less invasive procedures like AI and AR may be an option that provide Insight into data curation and enhanced intelligence in the Imaging of cells.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134120704","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 : 2023-02-03DOI: 10.2174/2210298103666230203121700
P. Mitra, Srikanth Manohar Pakki, Binu Acharya, Sagar Khanvilkar
Extruded cereals and snacks are mainly carbohydrates. Most adults require more protein above RDA by restricting carbohydrates for many health benefits. A wide variety of soy protein-rich extrudates can be produced by blending with rice flour. However, optimum extrusion processing variables (i.e., screw speed, die temperature, and product formulations) are required for maximum retention of nutrients with desired product characteristics. The objective of this study was to optimize the extrusion operating conditions and soy flour and rice flour blend formulations for developing protein-rich cereal-like extrudates. Twenty formulations using CCRD with the combinations of soy flour content (43-77%), die temperature (123-157℃), and screw speed (250-350 rpm) were extruded using a single screw extruder. The physical properties (expansion ratio, density, porosity, hardness, crispness, color, and water solubility index) of extrudates were determined. The regression models and 3-dimensional response surface models were developed for each property of extrudates using RSM. Numerical and graphical optimizations were conducted based on the desirability to determine an optimum condition. The regression models were able to predict the physical properties of extrudates with an accuracy of 75-90%, depending on their properties. The 3-dimensional response surface models indicated that the soy flour content, die temperature, and screw speed affected the physical properties of extrudates significantly (p<0.05). Soy flour content (50-55%), die temperature (140-145℃), and screw speed (290-320 rpm) were very effective for the desired quality of soy flour and rice flour blend extrudates. The regression models were able to predict the physical properties of extrudates with an accuracy of 75-90 The optimum condition is expected to be very useful for soy protein and rice flour blend extruded cereal-like product development commercially within the experimental range. The optimum condition is expected to be very useful for soy protein and rice flour blend extruded cereal-like product development commercially within the experimental range.
{"title":"Optimization of Single Screw Extrusion Processing Variables and Soy and Rice Flour Blend Formulations Based on Physical Properties of Extrudates","authors":"P. Mitra, Srikanth Manohar Pakki, Binu Acharya, Sagar Khanvilkar","doi":"10.2174/2210298103666230203121700","DOIUrl":"https://doi.org/10.2174/2210298103666230203121700","url":null,"abstract":"\u0000\u0000Extruded cereals and snacks are mainly carbohydrates. Most adults require more protein above RDA by restricting carbohydrates for many health benefits. A wide variety of soy protein-rich extrudates can be produced by blending with rice flour. However, optimum extrusion processing variables (i.e., screw speed, die temperature, and product formulations) are required for maximum retention of nutrients with desired product characteristics.\u0000\u0000\u0000\u0000The objective of this study was to optimize the extrusion operating conditions and soy flour and rice flour blend formulations for developing protein-rich cereal-like extrudates.\u0000\u0000\u0000\u0000Twenty formulations using CCRD with the combinations of soy flour content (43-77%), die temperature (123-157℃), and screw speed (250-350 rpm) were extruded using a single screw extruder. The physical properties (expansion ratio, density, porosity, hardness, crispness, color, and water solubility index) of extrudates were determined. The regression models and 3-dimensional response surface models were developed for each property of extrudates using RSM. Numerical and graphical optimizations were conducted based on the desirability to determine an optimum condition.\u0000\u0000\u0000\u0000The regression models were able to predict the physical properties of extrudates with an accuracy of 75-90%, depending on their properties. The 3-dimensional response surface models indicated that the soy flour content, die temperature, and screw speed affected the physical properties of extrudates significantly (p<0.05). Soy flour content (50-55%), die temperature (140-145℃), and screw speed (290-320 rpm) were very effective for the desired quality of soy flour and rice flour blend extrudates.\u0000\u0000\u0000\u0000The regression models were able to predict the physical properties of extrudates with an accuracy of 75-90\u0000\u0000\u0000\u0000The optimum condition is expected to be very useful for soy protein and rice flour blend extruded cereal-like product development commercially within the experimental range.\u0000\u0000\u0000\u0000The optimum condition is expected to be very useful for soy protein and rice flour blend extruded cereal-like product development commercially within the experimental range.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126132862","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 : 2023-02-01DOI: 10.2174/221029810301221209103815
Atta ur-Rahman
{"title":"Meet the Honorary Senior Advisor","authors":"Atta ur-Rahman","doi":"10.2174/221029810301221209103815","DOIUrl":"https://doi.org/10.2174/221029810301221209103815","url":null,"abstract":"","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136097256","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}