Article
Environmental Sciences
Serpil Gonca, Baris Polat, Yasin Ozay, Sadin Ozdemir, Ibrahim Kucukkara, Halil Atmaca, Nadir Dizge
Summary: This study investigates the effect of a diode laser, an environmentally friendly application, on pathogenic microorganisms. The results show that the blue laser is more effective in disinfection compared to the red and green lasers. The laser can inhibit microbial growth and biofilm formation even at low power density. Moreover, the blue laser successfully disinfects wastewater and natural milk.
ENVIRONMENTAL TECHNOLOGY
(2023)
Review
Immunology
Jing Zhang, Ling Chen, Yang Yang, Xiao Liu, Yuan Yuan, Shi-rong Song, Yue Zhao, Jian Mao
Summary: The purpose of this study was to compare the clinical and laboratory characteristics of late-onset sepsis (LOS) caused by Gram-negative and Gram-positive bacteria in preterm neonates and evaluate the diagnostic accuracy of biomarkers. The results showed that LOS caused by Gram-negative bacteria in preterm neonates had higher levels of CRP and lower platelet counts. Therefore, platelet count and CRP values may be useful biomarkers to differentiate sepsis caused by Gram-negative and Gram-positive bacteria in preterm neonates.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2023)
Article
Infectious Diseases
Antonella Migliaccio, Maria Stabile, Maria Bagattini, Maria Triassi, Rita Berisio, Eliana De Gregorio, Raffaele Zarrilli
Summary: Resveratrol can reverse tolerance and restore susceptibility to CHX and BZK in the majority of microorganisms causing HAI. The efflux pump inhibitor reduced the MIC and MBC of CHX and BZK in most strains, while resveratrol dose-dependently decreased the MIC and MBC of the biocides.
Review
Biotechnology & Applied Microbiology
Yina Cao, Huancai Lin
Summary: Research on membrane vesicles in Gram-positive bacteria has made significant progress in recent years, revealing the diversity of their composition and functions. Membrane vesicles play important roles in pathophysiological processes and serve as communication tools between bacteria and hosts.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
(2021)
Article
Genetics & Heredity
Hamed Khakzad, Lotta Happonen, Guy Tran Van Nhieu, Johan Malmstrom, Lars Malmstrom
Summary: In this study, protein-protein interactions within the human complement system membrane attack complex (MAC) were investigated using in vivo cross-linking mass spectrometry and computational modeling. Over 100 cross-linked lysine-lysine pairs were identified between different MAC components, leading to the proposal of a quaternary model of the assembled MAC in its native environment. The approach demonstrated the validity of the MAC model through comparison with existing X-ray crystallographic and electron cryo-microscopic models, showcasing the potential of this method in studying native protein interactions.
FRONTIERS IN GENETICS
(2021)
Review
Microbiology
Evgeniya V. Prazdnova, Andrey V. Gorovtsov, Nikita G. Vasilchenko, Maxim P. Kulikov, Varvara N. Statsenko, Anna A. Bogdanova, Alexandr G. Refeld, Yaroslav A. Brislavskiy, Vladimir A. Chistyakov, Michael L. Chikindas
Summary: This review focuses on the mechanisms of quorum-sensing suppression by Gram-positive microorganisms and its practical applications in food fermentation, probiotics, and biotechnology. It also discusses the possible evolutionary role of quorum-quenching mechanisms during the development of interspecies interactions of bacteria.
Article
Chemistry, Analytical
Clare A. Manderson, Heather McLiesh, Rico F. Tabor, Gil Garnier
Summary: A simple diagnostic method using laser technology for immunohaematology has been developed, allowing accurate and sensitive detection of blood group antibodies with results quickly read by eye without specialist equipment or training. This method has the potential to lead to a point-of-care antibody screen.
Review
Cell Biology
He Liu, Zhen Hu, Mengyang Li, Yi Yang, Shuguang Lu, Xiancai Rao
Summary: G(+) bacterial infections pose a significant burden and require urgent development of antimicrobial agents due to the prevalence of multidrug-resistant G(+) bacteria. Endolysins, phage-encoded enzymes, are promising alternatives for combating resistance due to their low bacterial resistance. This review classifies and summarizes the mechanisms, efficacy, and advantages of endolysins as antibacterial drug candidates targeting G(+) bacteria. Safety, challenges, and potential solutions are also addressed, with indications that endolysin-based drugs will be approved in the near future.
JOURNAL OF BIOMEDICAL SCIENCE
(2023)
Article
Multidisciplinary Sciences
Aliya Fazal, Sajida Ara, Muhammad Tayab Ishaq, Kalsoom Sughra
Summary: The study focuses on the green synthesis of copper oxide nanoparticles using vegetable peels, with an ecofriendly approach and low fabrication temperature. It also explores the antibacterial efficacy of the nanoparticles, showing a more significant biocidal effect on Gram-negative bacteria compared to Gram-positive bacteria. The research highlights the potential of utilizing biowaste for the production of useful products.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Microbiology
Edwin Esau Hernandez-Arvizu, Teresa Monserrat Silis-Moreno, Jose Alejandro Garcia-Arredondo, Angelina Rodriguez-Torres, Jose Antonio Cervantes-Chavez, Juan Mosqueda
Summary: Anti-microbial peptides play a crucial role in the defense mechanisms of various organisms. In this study, a cathelicidin-like peptide called Aquiluscidin was identified for the first time in Crotalus aquilus, exhibiting remarkable inhibitory activity against multiple bacteria. It has the potential to be a candidate for further antimicrobial research.
Article
Chemistry, Multidisciplinary
Kefurong Deng, Yachao Li, Xiaoyu Liang, Cheng Shen, Zenan Zeng, Xianghui Xu
Summary: This study developed virus-inspired nanodrugs for high-efficiency antibiotic delivery and enhanced antibacterial effects, demonstrating their potential application in antibacterial treatment.
CHINESE CHEMICAL LETTERS
(2022)
Article
Materials Science, Ceramics
Lili Sun, Xilong Liu, Jian Ma, Yingjie Hua, Chongtai Wang, Lisi Wang, Yuanyuan Yu, Ziyi Huang, Zhekang Wen
Summary: This study developed special structure nanomaterials with large specific surface areas from nature and conducted appropriate doping to improve the performance of carbon-based energy storage devices and mobile power supplies. The unique properties of carbon derived from Gram-positive bacteria were explored for the first time, showing promising applications in supercapacitors.
CERAMICS INTERNATIONAL
(2022)
Review
Immunology
A. Marijke Keestra-Gounder, Prescilla Emy Nagao
Summary: Inflammasomes are intracellular protein complexes important for host defense against pathogens. They detect microbial ligands and activate caspase-1 to induce inflammation and cell death. This review focuses on NLRP3, NLRP6, NLRC4, and AIM2 inflammasomes and their activation during Gram-positive bacterial infections.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Sarabjot Kaur, Rushikesh Tambat, Vikas Pathania, Hemraj Nandanwar, Sanjeev Soni
Summary: This study demonstrates that photo-thermally enhanced triangular silver nanoplates have strong antimicrobial efficacy and can eradicate various pathogens in a short period of time, which is significant for a wide range of antibacterial and antifungal applications.
JOURNAL OF APPLIED MICROBIOLOGY
(2022)
Article
Biology
Dokyung Jeong, Min Jeong Kim, Yejin Park, Jinkyoung Chung, Hee-Seok Kweon, Nae-Gyu Kang, Seung Jin Hwang, Sung Hun Youn, Bo Kyoung Hwang, Doory Kim
Summary: Researchers used super-resolution microscopy to reveal the ultrastructural organization of EVs produced by gram-positive bacteria and proposed three major mechanisms of EV biogenesis. These findings highlight the significant role of cell wall degradation in regulating EV formation.
Article
Biophysics
Yi-Ju Chang, Teng-Yi Huang, Yi-Jui Liu, Hsiao-Wen Chung, Chun-Jung Juan
Summary: Various MRI sequences can discriminate parotid gland tumors, with the deep learning model utilizing diffusion-weighted parameters showing better performance. The proposed model could classify Warthin and pleomorphic adenoma tumors accurately but not malignant tumors.
NMR IN BIOMEDICINE
(2021)
Article
Multidisciplinary Sciences
Yi-Jui Liu, Hou-Ting Yang, Melissa Min-Szu Yao, Shao-Chieh Lin, Der-Yang Cho, Wu-Chung Shen, Chun-Jung Juan, Wing P. Chan
Summary: This study investigated the impact of AIF selection on vertebral perfusion quantification using DCE-MRI. Simulation results showed that decreasing peak in AIF increased K-trans and v(e), while increasing delay time in AIF increased v(p). In human subjects, K-trans and v(e) were significantly smaller with AIF_A compared to AIF_SA, while both parameters were significantly greater with AIF_SA compared to AIF_A.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hing-Chiu Chang, Guangtao Chen, Hsiao-Wen Chung, Philip Yuguang Wu, Liyuan Liang, Chun-Jung Juan, Yi-Jui Liu, Man-Lap Donald Tse, Arren Chan, Sailong Zhang, Keith Wan-Hang Chiu
Summary: Comparing conventional ssDWI with higher-resolution ssDWI and MUSE-DWI for evaluating bowel inflammation in CD, it was found that MUSE-DWI has better tissue texture conspicuity, geometric distortions, and overall image quality. MUSE-DWI also showed higher sensitivity and accuracy in detecting bowel inflammation compared to ssDWI.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Yi-Jui Liu, Hou-Ting Yang, Chun-Jung Juan
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Engineering, Biomedical
Ming-Cheng Liu, Yi-Jui Liu, Yen-Ting Lin, Siu-Wan Hung, Jyh-Wen Chai, Si-Wa Chan, Kun-Yuan Chiu, Chih-Hao Chang, Ya-Ling Tsou
Summary: Multiparametric MRI is useful in differentiating among common pathological types of small renal masses, and ADC value may be helpful in evaluating the histological grade of malignancy.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
(2022)
Article
Biophysics
Chun-Jung Juan, Teng-Yi Huang, Yi-Jui Liu, Wu-Chung Shen, Chih-Wei Wang, Kang Hsu, Nieh Shin, Ruey-Feng Chang
Summary: This study evaluated the performance of machine learning in classifying parotid gland tumors based on diffusion-related features from different regions of the parotid gland, and found that using multiple features improved the performance metrics of the classification model. Combining machine learning with multiple features can provide excellent discrimination of tumor types and be a practical tool in the clinical diagnosis of parotid gland tumors.
NMR IN BIOMEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chun-Jung Juan, Shao-Chieh Lin, Ya-Hui Li, Chia-Ching Chang, Yi-Hung Jeng, Hsu-Hsia Peng, Teng-Yi Huang, Hsiao-Wen Chung, Wu-Chung Shen, Chon-Haw Tsai, Ruey-Feng Chang, Yi-Jui Liu
Summary: The objective of this study was to investigate the role of ADC threshold on agreement across observers and deep learning models (DLMs) as well as segmentation performance for acute ischemic stroke (AIS). The results showed that combining ADC threshold with DWI can reduce the differences between observers and DLMs and achieve the best segmentation performance for AIS lesions.
EUROPEAN RADIOLOGY
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Yi-Jui Liu, Chun-Wen Chen, Kai-Yuan Cheng, Chun-Jung Juan
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Engineering, Biomedical
Chun-Wen Chen, Yi-Jui Liu, Shao-Chieh Lin, Chien-Yuan Wang, Wu-Chung Shen, Der-Yang Cho, Tung-Yang Lee, Cheng-Hsuan Juan, Cheng-En Juan, Kai-Yuan Cheng, Chun-Jung Juan
Summary: The study aims to propose hybrid predicting models integrating clinical and MRI features to diagnose lumbar vertebral osteopenia in premenopausal Taiwanese women. The results showed that the diagnostic accuracy of LvOPI can be improved by using the hybrid predicting models in premenopausal Taiwanese women.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Kang Hsu, Da-Yo Yuh, Shao-Chieh Lin, Pin-Sian Lyu, Guan-Xin Pan, Yi-Chun Zhuang, Chia-Ching Chang, Hsu-Hsia Peng, Tung-Yang Lee, Cheng-Hsuan Juan, Cheng-En Juan, Yi-Jui Liu, Chun-Jung Juan
Summary: This study proposes a 3.5D U-Net model to improve the segmentation performance of teeth on CBCT. Majority voting and mathematical morphology operations can enhance the performance of U-Net. The 3.5Dv5 U-Net achieves the best segmentation performance among all models.
SCIENTIFIC REPORTS
(2022)
Article
Materials Science, Multidisciplinary
Tz-Feng Lin, Yi-Jen Huang, Yi-Jui Liu, Cheng-Ming Peng, Chun-Jung Juan, Shih-Hsuan Yeh, Ruey-Hwang Chou
Summary: This study developed a direct drug delivery system by mixing different polymers to create Pluronic blending composites, which effectively inhibited multidrug resistance. The system continuously released chemotherapeutic drugs and anti-cancer ingredients, suppressing transporter function and preparing surgical dressings with 3D bio-printing technology for sustained drug release and anti-cancer effects.
MATERIALS TODAY COMMUNICATIONS
(2022)
Correction
Engineering, Biomedical
Ming-Cheng Liu, Yi-Jui Liu, Yen-Ting Lin, Siu-Wan Hung, Jyh-Wen Chai, Si-Wa Chan, Kun-Yuan Chiu, Chih-Hao Chang, Ya-Ling Tsou
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Chang-Hsien Liu, Hing-Chiu Chang, Yi-Jui Liu, Wei-Ching Lin, Chi-Feng Hsieh, Te-Pao Lin, Cheng-Hsuan Juan, William Tzu-Liang, Chun-Jung Juan
Summary: The purpose of this study was to evaluate the accuracy of the T2*-IDEAL technique in predicting hepatic steatosis grades. The results showed that the T2*-IDEAL method accurately predicts hepatic steatosis grades and has high reliability and consistency.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
(2023)
Article
Gastroenterology & Hepatology
Ching-Lung Hsieh, Tung-Sheng Tsai, Cheng-Ming Peng, Teng-Chieh Cheng, Yi-Jui Liu
Summary: Reduced-port RDP results in lower intraoperative blood loss, lower postoperative pancreatic fistula rate, and shorter hospital stay and follow-up duration, but has a lower spleen preservation rate.
WORLD JOURNAL OF GASTROINTESTINAL SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ya-Hui Li, Shao-Chieh Lin, Hsiao-Wen Chung, Chia-Ching Chang, Hsu-Hsia Peng, Teng-Yi Huang, Wu-Chung Shen, Chon-Haw Tsai, Yu-Chien Lo, Tung-Yang Lee, Cheng-Hsuan Juan, Cheng-En Juan, Hing-Chiu Chang, Yi-Jui Liu, Chun-Jung Juan
Summary: This study aimed to evaluate the impact of input imaging combo and ADC threshold on the performance of U-Net in segmenting AIS lesions and to find the optimal combo and threshold. Results showed significant variations in segmentation performance among different combos and ADC thresholds. The best combo was DAA with an ADC threshold of 0.6 x 10(-3) mm(2)/s, achieving the highest Dice similarity coefficient (DSC) in AIS lesion segmentation.
EUROPEAN RADIOLOGY
(2023)