Article
Multidisciplinary Sciences
Ding Wang, Jing Zhu, Na Li, Hongyang Lu, Yun Gao, Lei Zhuang, Zhongjian Chen, Weimin Mao
Summary: This study analyzed the plasma metabolic profile of patients with malignant mesothelioma and identified differential metabolites and disrupted metabolic pathways. Five potential plasma biomarkers were identified, which could be critical for the diagnosis of malignant mesothelioma.
Article
Immunology
Dadi Xie, Fengfeng Li, Deshui Pang, Shiyuan Zhao, Meihua Zhang, Zhongfa Ren, Chunmei Geng, Changshui Wang, Ning Wei, Pei Jiang
Summary: This study aimed to evaluate the utility metabolomic analysis of target tissues in exploring new biomarkers for early diagnosis and treatment of IBD. The results showed significant changes in amino acid, organic acid, glucide, and purine profiles, impacting pathways ranging from amino acid metabolism to purine metabolism. Using GC-MS-based profiling of metabolite changes may provide a more comprehensive view for understanding IBD pathogenesis.
JOURNAL OF INFLAMMATION RESEARCH
(2021)
Article
Multidisciplinary Sciences
Xinxin Lin, Shiqi He, Suyu Wu, Tianwen Zhang, Sisi Gong, Minjie Tang, Yao Gao
Summary: In this study, the serum metabolic signatures of patients with Osteoarthritis (OA), healthy controls (HC), and non-OA individuals were investigated using UPLC-QToF/MS and statistical analysis methods. Seven critical metabolites were identified as potential biomarkers for diagnosing OA and HC, while another panel of metabolites distinguished OA from non-OA. These biomarkers are mainly involved in lipid metabolism, glucose metabolism, and amino acid metabolism, providing new insights into the pathogenesis of OA.
Article
Chemistry, Analytical
Nan Chen, Hai-Bo Wang, Ben-Qing Wu, Jian-Hui Jiang, Jiang-Tao Yang, Li-Juan Tang, Hong-Qin He, Dan-Dan Linghu
Summary: The study proposes a strategy for simultaneously detecting six types of IMDs by combining GC-MS technique with the random forest algorithm. The RF model shows superior performance in identifying all six types of IMDs and normal samples, with high specificity, sensitivity, precision, accuracy, and matthews correlation coefficients. This strategy provides a useful method for reliable and effective identification of multiple IMDs in clinical diagnosis.
Article
Nutrition & Dietetics
Stefania Noerman, Jyrki K. Virtanen, Marko Lehtonen, Carl Brunius, Kati Hanhineva
Summary: The study aimed to identify fasting serum metabolites associated with whole grain intake in a free-living population. The findings suggested strong associations between whole grain intake and several metabolites, which remained significant even after adjusting for potential confounders. These metabolites have the potential to serve as robust biomarkers for whole grain consumption.
EUROPEAN JOURNAL OF NUTRITION
(2023)
Article
Food Science & Technology
Nasya Tomlekova, Petko Mladenov, Ivayla Dincheva, Emilya Nacheva
Summary: Potatoes are the fourth most economically important crop in the world, being a rich source of carbohydrates, amino acids, vitamins, and other nutrients. This study classified eight Bulgarian potato cultivars based on their metabolite contents, evaluating their nutritive quality for breeding purposes.
Article
Immunology
Peng Han, Chao Hou, Xi Zheng, Lulu Cao, Xiaomeng Shi, Xiaohui Zhang, Hua Ye, Hudan Pan, Liang Liu, Tingting Li, Fanlei Hu, Zhanguo Li
Summary: This study investigated the serum antigenomic profiling in rheumatoid arthritis (RA) using label-free proteomic technology and machine-learning algorithm. The results identified potential diagnostic biomarkers and developed a model to classify different types of RA patients.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Chang Ho Ahn, Chaelin Lee, Jaeyoon Shim, Sung Hye Kong, Su-Jin Kim, Yong Hwy Kim, Kyu Eun Lee, Chan Soo Shin, Jung Hee Kim, Man Ho Choi
Summary: The study evaluated the diagnostic value of serum levels of adrenal steroids for diagnosing and subtyping Cushing's syndrome, finding that tetrahydrocortisone and 68-hydroxycortisol had the highest AUROC for diagnosing the syndrome. Dehydroepiandrosterone sulfate (DHEA-S) showed a high AUROC for subtyping into adrenal or pituitary Cushing's syndrome, with a significant linear correlation with plasma ACTH levels.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY
(2021)
Article
Endocrinology & Metabolism
Dehong Wu, Lingxia Ye, Xiafeng Zhang, Mengdi Yin, Yixuan Guo, Jia Zhou
Summary: Metabolic profiling analysis by GC/MS revealed specific steroid alterations in urine of SLE patients. Lower levels of total androgens and higher levels of total estrogens were observed in SLE patients. Other steroid metabolism disorders were also identified. This study provides insights into the role of steroid hormones in the pathogenesis of SLE and the sexual disparity in SLE.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Biochemical Research Methods
Dimitra Diamantidou, Olga Deda, Ioannis Zervos, Ioannis Taitzoglou, Helen Gika, Georgios Theodoridis, Filippos Michopoulos
Summary: Regular physical exercise has significant effects on liver metabolism, accelerating bioenergetic processes and purine catabolism, while providing biosynthetic precursors. The applied methodology can distinguish different training schedules based on the rat liver metabolome.
JOURNAL OF PROTEOME RESEARCH
(2022)
Article
Endocrinology & Metabolism
Xiaogang Li, Xi Wang, Haolong Li, Yongzhe Li, Ye Guo
Summary: The lipidomics profile of patients with Kallmann syndrome was found to be significantly different from healthy controls, with triacylglycerols, phosphatidylcholines, and phosphatidylethanolamine being identified as the main differential lipid species. This study suggests that TAGs, PCs, and PE may serve as promising biomarkers for KS diagnosis, representing the first report to analyze lipidomics in men with Kallmann syndrome.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Plant Sciences
Liang Yang, Zhouling Wei, Marc Valls, Wei Ding
Summary: Metabolic analyses were used to identify metabolite differences in tobacco xylem sap in response to Ralstonia pseudosolanacearum infection, revealing metabolites that can promote bacterial growth.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Food Science & Technology
Eirini Pegiou, Roland Mumm, Robert D. Hall
Summary: A study found that the chemical composition of asparagus changes during cooking, with some substances increasing while others decreasing. Profiles of asparagus metabolites were analyzed using GC-MS and LC-MS, and the flavor attributes were evaluated by a taste panel. The study revealed the key biochemical pathways and chemical transformations relevant to asparagus flavor.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Rheumatology
T. Xu, Y. Guo, J. Lu, J. Shan, L. Linz, W. Qian, W. Chen, J. Wang, X. Lv, M. Ke, D. Kong, Q. Shen, Y. Zhu, P. Liu, J. Su, L. Wang, Y. Li, P. Gao, S. Liu
Summary: This study identified 21 significant metabolites that can distinguish SS patients from healthy controls and discovered changes in metabolic pathways that contribute to the pathogenesis of SS, using mass spectrometry techniques.
CLINICAL AND EXPERIMENTAL RHEUMATOLOGY
(2021)
Article
Chemistry, Analytical
Yingzhuo Wang, Feng Guo, Donglin Hao, Yunke Guo, Tingting Xu, Qiuxiang Shen, Youjuan Zhu, Jinfeng Su, Lu Wang, Shijia Liu
Summary: By analyzing metabolite profiles in serum samples using a metab-olomics method, this study identified 14 significant metabolites that distinguish patients with SLE from healthy controls. Potential biomarkers such as arabitol, asparagine, and stearic acid were identified, with altered pathways including aspartate metabolism, glycine and serine metabolism, and purine metabolism.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Y. He, Z. M. Zhang, P. Ma, H. C. Ji, H. M. Lu
ANALYTICAL METHODS
(2018)
Article
Endocrinology & Metabolism
Hongchao Ji, Zhimin Zhang, Hongmei Lu
Article
Chemistry, Analytical
Hongchao Ji, Yamei Xu, Hongmei Lu, Zhimin Zhang
ANALYTICAL CHEMISTRY
(2019)
Article
Biochemical Research Methods
Huimin Zhu, Yi Chen, Cha Liu, Rong Wang, Gaokun Zhao, Binbin Hu, Hongchao Ji, Zhi-Min Zhang, Hongmei Lu
Article
Biochemical Research Methods
Qian Wu, Yamei Xu, Hongchao Ji, Yang Wang, Zhimin Zhang, Hongmei Lu
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2019)
Article
Plant Sciences
Chunyan Fu, Qian Wu, Zhimin Zhang, Zian Xia, Hongchao Ji, Hongmei Lu, Yang Wang
JOURNAL OF ETHNOPHARMACOLOGY
(2019)
Article
Chemistry, Analytical
Hongchao Ji, Hanzi Deng, Hongmei Lu, Zhimin Zhang
ANALYTICAL CHEMISTRY
(2020)
Article
Chemistry, Analytical
Qiong Yang, Hongchao Ji, Hongmei Lu, Zhimin Zhang
Summary: This study demonstrates the potential of using graph neural networks to predict the retention time of small molecules, with the GNN-RT model outperforming other models in predicting accuracy.
ANALYTICAL CHEMISTRY
(2021)
Article
Biochemical Research Methods
Qiong Yang, Hongchao Ji, Xiaqiong Fan, Zhimin Zhang, Hongmei Lu
Summary: A Graph Neural Network-based Transfer Learning (GNN-TL) method is proposed for predicting HILIC RT, which outperforms other methods in Retip and shows good generalization ability. It can filter out potential false positive candidates and aid in the identification of compounds complementary to mass spectrometry.
JOURNAL OF CHROMATOGRAPHY A
(2021)
Article
Biochemical Research Methods
Hongchao Ji, Xue Lu, Zhenxiang Zheng, Siyuan Sun, Chris Soon Heng Tan
Summary: The Cellular Thermal Shift Assay (CETSA) is crucial for drug-target identification. ProSAP, an open-source and user-friendly software tool, provides multiple methods for thermal proteome profiling (TPP) analysis, nonparametric analysis (NPA), proteome integral solubility alteration, and isothermal shift assay (iTSA). Testing the performance of ProSAP involved processing several datasets and comparing the performance of different algorithms.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Automation & Control Systems
Hongchao Ji, Jing Tian
Summary: Accurate peak picking is crucial in LC-MS-based omics analysis, and the traditional methods have unsatisfactory precision. Recently, the combination of deep learning and denoising autoencoder in AutoMS has significantly improved peak picking by continuously and precisely scoring the peak quality.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Qiong Yang, Hongchao Ji, Zhenbo Xu, Yiming Li, Pingshan Wang, Jinyu Sun, Xiaqiong Fan, Hailiang Zhang, Hongmei Lu, Zhimin Zhang
Summary: This study proposes a fast and accurate spectrum matching method called FastEI, which improves the accuracy and speed of matching by using Word2vec spectral embedding and hierarchical navigable small-world graph. The study shows that FastEI achieves a speedup of two orders of magnitude compared with the commonly used weighted cosine similarity method and achieves high accuracy when identifying compounds using a million-scale in-silico library.
NATURE COMMUNICATIONS
(2023)
Article
Food Science & Technology
Yu Song, Sihao Chang, Jing Tian, Weihua Pan, Lu Feng, Hongchao Ji
Summary: This study explores taste prediction using various molecular feature representations and evaluates the performance of different machine learning algorithms. The results show that GNN-based models outperform other approaches, with the molecular fingerprints + GNN consensus model performing the best.
Article
Psychology, Multidisciplinary
Carlos Manuel Goncalves, Vasco Dias Rocha
Article
Chemistry, Applied
Wen Li, Hongqi Ye, Gonggang Liu, Hongchao Ji, Yonghua Zhou, Kai Han
CHINESE JOURNAL OF CATALYSIS
(2018)
Article
Chemistry, Analytical
Yujia Ying, Huilin Li
Summary: Enzymes play a crucial role as biological catalysts in accelerating biochemical reactions in living organisms. This study proposes a convenient method for monitoring enzymatic catalytic processes using native top-down mass spectrometry. By exploring the heterogeneity of the chymotrypsin sample and using tandem mass spectrometry, the researchers were able to monitor covalent and noncovalent enzymatic complexes, substrates, and products during catalysis. The results demonstrate that this method has the potential to be a promising tool for characterizing biocatalysts.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Kang Yang, Shuaibo Shi, Jinyu Wu, Shaolong Han, Shengdi Tai, Shishen Zhang, Kun Zhang
Summary: H2O and D2O are important analogues closely related to various industries and monitoring fields. This study successfully distinguishes and detects H2O and D2O by designing a novel eu(III)-macrocycle with dual emitters, Eu-2a, and conducting fluorescence titration experiments.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Julia Kuligowski, Alvaro Perez-Rubio, Marta Moreno-Torres, Polina Soluyanova, Judith Perez-Rojas, Ivan Rienda, David Perez-Guaita, Eugenia Pareja, Ramon Trullenque-Juan, Jose Castell, Marcha Verheijen, Florian Caiment, Ramiro Jover, Guillermo Quintas
Summary: This study introduces a novel variable selection approach called cluster PLS (c-PLS) to assess the joint impact of variable groups selected based on biological characteristics on the predictive performance of a multivariate model. The usefulness of c-PLS is shown using miRNomic and metabolomic datasets obtained from the analysis of liver tissue biopsies.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Meixue Lai, Lijie Zhong, Siyi Liu, Yitian Tang, Tingting Han, Huali Deng, Yu Bao, Yingming Ma, Wei Wang, Li Niu, Shiyu Gan
Summary: This study presents a method for constructing wearable sweat electrolyte sensors using carbon fiber-based solid-contact ion-selective electrodes (SC-ISEs). By using carbon fibers extracted from commercial cloth as electrode material, the cost and reproducibility issues of flexible SC-ISEs were addressed. The results showed that the carbon fiber-based SC-ISEs exhibited reversible voltammetric and stable impedance performances, and had high reproducibility of standard potentials between normal and bending states.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Yang, Ying Liu, Min Deng, Peipei Wang, Dan Cheng, Songjiao Li, Longwei He
Summary: A near-infrared fluorescent probe has been developed to accurately measure the levels of peroxynitrite (ONOO-) in the endoplasmic reticulum (ER) in acute lung injury (ALI). The probe demonstrated rapid response, high selectivity, good sensitivity, and enhanced fluorescence intensity in response to ONOO-. It was successfully used to detect changes in ONOO- levels and showed significant increases in an ALI cell model and an ALI mouse model.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yanping Wang, Yuemei Chen, Kejun Li, Jinrong Zhou, Xin Yuan, Mei Zhang, Ke Huang
Summary: In this work, a portable analytical system based on point discharge chemical vapor generation atomic emission spectrometry (PD-CVG-AES) coupling with gold filament enrichment was designed. The highly sensitive analysis of Hg2+ indirectly realized the detection of ascorbic acid (AA). The measurement is based on the fact that Ag+ can decrease the concentration of Hg2+ by forming Ag-Hg amalgam in the presence of the reductant SnCl2, while AA can pre-reduce Ag+ to Ag0, leading to the generation of silver nanoparticles (Ag NPs). The developed novel analytical strategy broadens the application of microplasma-based AES and offers a higher level of sensitivity compared to current AA detection techniques.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yundi Huang, Bo Song, Kaiwen Chen, Deshu Kong, Jingli Yuan
Summary: This study developed two lysosome-targetable background-free TGL probes for efficient and accurate detection of 1O2, which can be used for monitoring endogenous 1O2 concentrations in lysosomes and discriminating variability induced by different photosensitizers. Furthermore, a smart luminescent sensor film was successfully prepared for on-site 1O2 production detection during PDT processes, offering a promising clinical monitoring tool for skin diseases.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Wei Lang, Jia-Mei Qin, Qian-Yong Cao
Summary: A novel polymer-based probe P1 was successfully synthesized for fluorescently ratiometric sensing of H2S with high selectivity and sensitivity. A smartphone sensing platform was constructed to conduct visual quantitative detection of H2S. P1 can be employed in evaluating the level fluctuations of H2S in living cells, testing water samples/wine samples, and monitoring food freshness.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yuanyuan Qin, Shuda Liu, Shuyun Meng, Dong Liu, Tianyan You
Summary: The study developed a split aptamer-based sandwich-type ratiometric biosensor for the detection of 17 beta-estradiol (E2) using photoelectrochemical and electrochemical assays. The biosensor utilized split aptamer fragments to recognize E2 and trigger a hybridization chain reaction, resulting in the production of double-stranded DNA labeled with CdTe quantum dots. This DNA complex was able to sensitize CdTe quantum dots and generate response signals for E2 detection. The developed biosensor demonstrated high sensitivity and accuracy with two linear ranges and low detection limits.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Siriwan Teepoo, Jongjit Jantra, Khaunnapa Panapong, David Taiwo Ajayi
Summary: A novel immunochromatographic assay based on hyperbranched Au plasmonic blackbodies with a smartphone readout was developed for rapid and sensitive detection of leucomalachite green residues in fish and shrimp products.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Andrea L. Larraga-Urdaz, Borja Moreira-Alvarez, Jorge Ruiz Encinar, Jose M. Costa-Fernandez, Maria Luisa Fernandez-Sanchez
Summary: A major challenge in the 21st century is the development of point-of-care diagnostic tools. In this study, a highly sensitive and simple bioassay using AuNPs and MNAzymes was developed for rapid detection and quantification of miRNA-4739. The proposed strategy shows potential for breast cancer diagnosis.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Xiaohan Zhao, Anyu Wang, Lingzi Zhai, Jiuhe Gao, Sizhe Lyu, Yingshan Jiang, Tian Zhong, Ying Xiao, Xi Yu
Summary: A novel method using polystyrene-coated magnetic nanoparticles for extracting monohydroxy polycyclic aromatic hydrocarbons from urine samples was investigated. The proposed method is simple, sensitive, and efficient, with desirable sensitivity for analyzing low-abundance metabolites in large volumes of complex urine samples.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Quan, Yuqing Zeng, Wenke Zhang, Fengfeng Li, Mengjiao Li, Zhihe Qing, Linlin Wu
Summary: In this study, a visual and reusable biosensor was developed for detecting substrates that are closely associated with human physiological health. The immobilized oxidase showed higher stability and sensitivity under harsh conditions, enabling reliable detection of substrates in complex fluids.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Dongjuan Wang, Xiuqian Ding, Jinling Xie, Juan Wang, Guanhao Li, Xin Zhou
Summary: In this study, a three-in-one sensor was developed for real-time detection of biogenic amines (BAs) with high sensitivity and selectivity. The sensor showed multimodal responses and could be used to fabricate portable devices for on-site non-destructive assessment of food spoilage indicators.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Jinting Meng, Zihao Xu, Shasha Zheng, Hongqun Yang, Tianfu Wang, Hong Wang, Yingwei Zhang
Summary: This study demonstrates the development of a cascade signal amplification system using a multi-pedal DNA walker and strand displacement reactions for the electrochemical detection of miRNA-155. The biosensor exhibited high sensitivity, selectivity, and the potential for clinical applications.
ANALYTICA CHIMICA ACTA
(2024)