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Liu DR, Yan QX, Zou ZB, Xie CL, Yang XW, Jia AQ. Cladosporium sphaerospermum extract inhibits quorum sensing associated virulence factors of Serratia marcescens. Biofilm 2023; 6:100146. [PMID: 37560185 PMCID: PMC10406620 DOI: 10.1016/j.bioflm.2023.100146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023] Open
Abstract
Serratia marcescens is now becoming a propensity for its highly antimicrobial-resistant clinical infections. Currently, it provides a novel strategy to prevent and control microbial infection by regulating S. marcescens quorum sensing (QS). Deep-sea-derived fungi are rich in QS bioactive constituents. In this work, the extracts from Cladosporium sphaerospermum SCSGAF0054 showed potent QS-related virulence factors and biofilm-inhibiting activities against S. marcescens NJ01. The swimming motility and multiple virulence factors such as prodigiosin, exopolysaccharide (EPS), lipase, protease and hemolysin were moderately inhibited by the extracts at varied concentrations. The confocal laser scanning microscope (CLSM) and scanning electron microscope (SEM) images revealed that C. sphaerospermum extracts moderately arrested biofilm formation and cell viability. Further, real-time quantitative PCR (RT-qPCR) analysis revealed that expressions of genes associated with virulence factors, flhD, fimA, fimC, bsmA, bsmB, pigA, pigC, and shlA, were significantly down-regulated compared with control. In addition, the extracts combined with imipenem inhibited the QS system of S. marcescens NJ01, disrupted its preformed biofilm, released the intra-biofilm bacteria and killed the bacteria gradually. Therefore, the extracts combined with imipenem can partially restore bacterial drug sensitivity. These results suggest that the extracts from SCSGAF0054 effectively interfere with the QS system to treat S. marcescens infection alone or combining with classical antimicrobial drugs.
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Affiliation(s)
- Dan-Rui Liu
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, China
| | - Qing-Xiang Yan
- Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Xiamen, 361005, China
| | - Zheng-Biao Zou
- Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Xiamen, 361005, China
| | - Chun-Lan Xie
- Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Xiamen, 361005, China
| | - Xian-Wen Yang
- Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Xiamen, 361005, China
| | - Ai-Qun Jia
- The Central Lab, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, China
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Zhang C, Xue Z, Zhu L, Zhou J, Zhuo L, Zhang J, Zhang X, Liu W, Han L, Liao W. Rhynchophylline alleviates neuroinflammation and regulates metabolic disorders in a mouse model of Parkinson's disease. Food Funct 2023; 14:3208-3219. [PMID: 36919954 DOI: 10.1039/d2fo02939a] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder with limited therapeutic agents. Rhynchophylline (RIN), a tetracyclic oxindole alkaloid isolated from Uncaria rhynchophylla, has multiple neuropharmacological activities, including anti-inflammatory, anti-depression, anti-neurodegenerative disease, and anti-drug addiction. Though it is reported that RIN exerts a neuroprotective effect against PD, the underlying protective mechanism remains obscure. In this study, a mass spectrometry-based metabolomic strategy combined with neurobehavioral tests, serum biochemical assays, and immunohistochemistry were employed to decipher the protective mechanism of RIN against 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine hydrochloride (MPTP)-induced subacute PD in mice. Our results indicated that RIN significantly improved the MPTP-induced behavioral abnormalities, reduced the loss of dopaminergic neurons, and reversed the secretion of inflammatory cytokines and oxidative stress indicators. Further studies showed that RIN significantly suppressed the expression of toll-like receptor 4, NOD-like receptor protein 3, and cyclooxygenase 2 in the mouse striatum. The results of serum metabolomics showed that RIN could ameliorate metabolic disorders in PD mainly through the regulation of retinol metabolism, arachidonic acid metabolism, glycerophospholipid metabolism, and purine metabolism. These pieces of evidence revealed that RIN is a promising drug candidate for PD by alleviating neuroinflammation and maintaining metabolic homeostasis.
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Affiliation(s)
- Chunxia Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Zhen Xue
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Lingmeng Zhu
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Jiayu Zhou
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Lingxin Zhuo
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Jiayi Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Xinchen Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Wenyuan Liu
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Zhejiang Center for Safety Study of Drug Substances (Industrial Technology Innovation Platform), Hangzhou, 310018, China
| | - Lingfei Han
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Wenting Liao
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing 210009, China. .,Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
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LI ZD, QI FY, LI F. Integrating 16S sequencing and metabolomics study on anti-rheumatic mechanisms against collagen-induced arthritis of Wantong Jingu Tablet. Chin J Nat Med 2022; 20:120-132. [DOI: 10.1016/s1875-5364(21)60080-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Indexed: 11/03/2022]
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Biodegradation of a Complex Phenolic Industrial Stream by Bacterial Strains Isolated from Industrial Wastewaters. Processes (Basel) 2021. [DOI: 10.3390/pr9111964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Molecular and metabolomic tools were used to design and understand the biodegradation of phenolic compounds in real industrial streams. Bacterial species were isolated from an industrial wastewater treatment plant of a phenol production factory and identified using molecular techniques. Next, the biodegradation potential of the most promising strains was analyzed in the presence of a phenolic industrial by-product containing phenol, alfa-methylstyrene, acetophenone, 2-cumylphenol, and 4-cumylphenol. A bacterial consortium comprising Pseudomonas and Alcaligenes species was assessed for its ability to degrade phenolic compounds from the phenolic industrial stream (PS). The consortium adapted itself to the increasing levels of phenolic compounds, roughly up to 1750 ppm of PS; thus, becoming resistant to them. In addition, the consortium exhibited the ability to grow in the presence of PS in repeated batch mode processes. Results from untargeted metabolomic analysis of the culture medium in the presence of PS suggested that bacteria transformed the toxic phenolic compounds into less harmful molecules as a survival mechanism. Overall, the study demonstrates the usefulness of massive sequencing and metabolomic tools in constructing bacterial consortia that can efficiently biodegrade complex PS. Furthermore, it improves our understanding of their biodegradation capabilities.
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Carlsen J, Cömert C, Bross P, Palmfeldt J. Optimized High-Contrast Brightfield Microscopy Application for Noninvasive Proliferation Assays of Human Cell Cultures. Assay Drug Dev Technol 2020; 18:215-225. [PMID: 32692633 DOI: 10.1089/adt.2020.981] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
High-contrast brightfield (HCBF) microscopy has emerged as a strong tool for noninvasive counting of cells in culture. HCBF imaging delivers precise cell growth data and is completely label free rendering it an attractive alternative to common cell counting procedures that often adversely affect cell growth. With computational image analysis, HCBF achieves efficient high-throughput automated workflows, extremely relevant for drug and chemical screens in pharmaceutical, toxicological, and biomedical research. We demonstrate the applicability of HCBF microscopy to count three common cell types (HEK293, Huh7, and primary human dermal fibroblasts) with diverse morphology challenging the method. The three cell types required different analysis settings, and we identified two parameters of the computational image analysis, which after cell-specific optimization significantly improved the cell counting accuracy, namely the lower size limit and the intensity threshold. Three-dimensional (3D) imaging approaches, which have obtained great attention in recent years, were an interesting prospect to combine with HCBF microscopy. We optimized the analysis of two 3D outputs but found 3D HCBF imaging to be inferior to the optimized single-layer HCBF imaging for cell counting. HCBF cell counts were highly linearly correlated with (R2 > 0.99) and highly similar (<15% difference) to cell counts obtained through Hoechst staining, over a broad range of densities allowing at least this level of accuracy for two to three cell generations in Huh7 cells and fibroblasts. Counts of HEK293 cells correlated somewhat less. In conclusion, the HCBF cell counting method is excellently suited for cell proliferation assays and cytotoxicity assays.
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Affiliation(s)
- Jasper Carlsen
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus N, Denmark
| | - Cagla Cömert
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus N, Denmark
| | - Peter Bross
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus N, Denmark
| | - Johan Palmfeldt
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus N, Denmark
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Von Seggern M, Szarowicz C, Swanson M, Cavotta S, Pike ST, Lamberts JT. Purine molecules in Parkinson's disease: Analytical techniques and clinical implications. Neurochem Int 2020; 139:104793. [PMID: 32650026 DOI: 10.1016/j.neuint.2020.104793] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/22/2020] [Accepted: 06/22/2020] [Indexed: 10/23/2022]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects patients over the age of 65. PD is characterized by loss of neurons in the substantia nigra and dopamine deficiency in the striatum. Once PD is clinically diagnosed by the observation of motor dysfunction, the disease is already in its advance stages. Consequently, there is a major push to identify clinical biomarkers that are useful for the earlier detection of PD. Using untargeted metabolomics, several research groups have identified purine molecules, and specifically urate, as important biomarkers related to PD. This review will summarize recent findings in the field of purine metabolomics and biomarker identification for PD, including in the areas of PD pathophysiology, diagnosis, prognosis and treatment. In addition, this article will summarize and examine the primary research techniques that are employed to quantify purine molecules in both experimental systems and human subjects.
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Affiliation(s)
| | - Carlye Szarowicz
- College of Arts & Sciences, Ferris State University, Big Rapids, MI, USA; Shimadzu Core Laboratory for Academic and Research Excellence, Ferris State University, Big Rapids, MI, USA
| | - Matthew Swanson
- College of Arts & Sciences, Ferris State University, Big Rapids, MI, USA; Shimadzu Core Laboratory for Academic and Research Excellence, Ferris State University, Big Rapids, MI, USA
| | - Samantha Cavotta
- College of Pharmacy, Ferris State University, Big Rapids, MI, USA
| | - Schuyler T Pike
- College of Arts & Sciences, Ferris State University, Big Rapids, MI, USA; Shimadzu Core Laboratory for Academic and Research Excellence, Ferris State University, Big Rapids, MI, USA
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Zhang Z, Zhang Y, Song S, Yin L, Sun D, Gu J. Recent advances in the bioanalytical methods of polyethylene glycols and PEGylated pharmaceuticals. J Sep Sci 2020; 43:1978-1997. [DOI: 10.1002/jssc.201901340] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 02/15/2020] [Accepted: 02/16/2020] [Indexed: 12/23/2022]
Affiliation(s)
- Zhi Zhang
- Research Center for Drug Metabolism, College of Life ScienceJilin University Changchun P. R. China
- Beijing Institute of Drug Metabolism Beijing P. R. China
| | - Yuyao Zhang
- Research Center for Drug Metabolism, College of Life ScienceJilin University Changchun P. R. China
- Beijing Institute of Drug Metabolism Beijing P. R. China
| | - Shiwen Song
- Research Center for Drug Metabolism, College of Life ScienceJilin University Changchun P. R. China
- Beijing Institute of Drug Metabolism Beijing P. R. China
| | - Lei Yin
- Research Center for Drug Metabolism, College of Life ScienceJilin University Changchun P. R. China
- Research Institute of Translational MedicineThe First Bethune Hospital of Jilin University Changchun P. R. China
| | - Dong Sun
- Department of Biopharmacy, College of Life ScienceJilin University Changchun P. R. China
- Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education”Yantai University Yantai P. R. China
| | - Jingkai Gu
- Research Center for Drug Metabolism, College of Life ScienceJilin University Changchun P. R. China
- Beijing Institute of Drug Metabolism Beijing P. R. China
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Guo YS, Tao JZ, Xu LH, Wei FH, He SH. Identification of disordered metabolic networks in postpartum dairy cows with left displacement of the abomasum through integrated metabolomics and pathway analyses. J Vet Med Sci 2019; 82:115-124. [PMID: 31852859 PMCID: PMC7041990 DOI: 10.1292/jvms.19-0378] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
High-producing dairy cows are easily affected by left displacement of the abomasum (LDA)
within 4 weeks postpartum. Although LDA is highly associated with metabolic disturbances,
the related information on comprehensive metabolic changes, with the exception of some
blood biochemical parameters, remains limited. In this study, the changes in plasma
metabolites and in the metabolic profile of postpartum dairy cows with LDA were
investigated through liquid chromatography coupled with quadrupole time of flight mass
spectrometry (LC-Q/TOF-MS)-based metabolomics, and the metabolic networks related to LDA
were constructed through metabolomics pathway analysis (MetPA). An obvious change in the
metabolic profile was reflected by significant variations in 68 plasma metabolites in
postpartum dairy cows with LDA, and these variations consequently altered 13 metabolic
pathways (histidine metabolism, tyrosine metabolism, valine, leucine and isoleucine
biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis, arginine and proline
metabolism, tryptophan metabolism, synthesis and degradation of ketone bodies, linoleic
acid metabolism, arachidonic acid metabolism, citrate cycle, butanoate metabolism, vitamin
B6 metabolism and pyrimidine metabolism). This study shows that the more
detailed information obtained by LC-Q/TOF-MS-based metabolomics and MetPA might contribute
to a better understanding of the disordered metabolic networks in postpartum dairy cows
with LDA.
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Affiliation(s)
- Yan Sheng Guo
- Department of Animal Science and Technology, Agricultural College, Ningxia University, 425 West Road of Hen lan shan, Xi Xia District, Yinchuan 750021, China
| | - Jin Zhong Tao
- Department of Animal Science and Technology, Agricultural College, Ningxia University, 425 West Road of Hen lan shan, Xi Xia District, Yinchuan 750021, China
| | - Li Hua Xu
- Department of Animal Science and Technology, Agricultural College, Ningxia University, 425 West Road of Hen lan shan, Xi Xia District, Yinchuan 750021, China
| | - Fan Hua Wei
- Department of Animal Science and Technology, Agricultural College, Ningxia University, 425 West Road of Hen lan shan, Xi Xia District, Yinchuan 750021, China
| | - Sheng Hu He
- Department of Animal Science and Technology, Agricultural College, Ningxia University, 425 West Road of Hen lan shan, Xi Xia District, Yinchuan 750021, China
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