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Gupta A, Sen Sarma M, Kumar A, Meena K, Baishya B, Mathias A, Mishra AK, Rao NK, Singh N, Singh P. Probing and gauging of D-Penicillamine xenobiotics in hepatic Wilson disease patients. Biophys Chem 2024; 313:107306. [PMID: 39121649 DOI: 10.1016/j.bpc.2024.107306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 07/15/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
D-penicillamine (PA) is the primary chelator of choice to treat Wilson disease (WD). There are limitations in obtaining comprehensive data on PA metabolites in biological specimens by conventional approaches. Hence, the aim of the present was to identify the major hepatic PA metabolites and draw clear conclusions of the drug's xenobiotic in WD. Urine samples were collected from children with hepatic WD (n = 63, aged 14.8 ± 4 years) 5 h after PA administration (16.3 ± 3.8 mg/kg/day) and age-matched healthy volunteers comprised as controls (n = 30). High-resolution 800 MHz nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry was applied to reveal unambiguous appraisals of different excretory by-products of PA metabolism. Four new products comprising penicillamine disulphide (PD), penicillamine cysteine disulphide (PCD), S-methyl penicillamine (SMP), and N-acetyl penicillamine (NAP) of PA xenobiotic metabolites were identified using high-resolution NMR spectroscopy. Quantitative levels of PCD and SMP were approximately three-fold higher than those of PD and NAP, respectively. High-resolution NMR identifies the major PA metabolites with certainty. Reduction, sulfation, and methylation are the predominant pathways of PA metabolism. There is a potential application for assessing therapeutic monitoring of chelation in hepatic WD.
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Affiliation(s)
- Ashish Gupta
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, Uttar Pradesh, India.
| | - Moinak Sen Sarma
- Department of Pediatric Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow, Uttar Pradesh, India.
| | - Anuj Kumar
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, Uttar Pradesh, India
| | - Khushbhu Meena
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, Uttar Pradesh, India
| | - Bikash Baishya
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, Uttar Pradesh, India
| | - Amrita Mathias
- Department of Pediatric Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow, Uttar Pradesh, India
| | - Amresh Kumar Mishra
- Department of Pediatric Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow, Uttar Pradesh, India
| | - Neeraj Kumar Rao
- Department of Pediatric Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow, Uttar Pradesh, India
| | - Nitu Singh
- Department of Pediatric Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow, Uttar Pradesh, India
| | - Parul Singh
- Department of Pediatric Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow, Uttar Pradesh, India
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Li Y, Han S. Metabolomic Applications in Gut Microbiota-Host Interactions in Human Diseases. Gastroenterol Clin North Am 2024; 53:383-397. [PMID: 39068001 DOI: 10.1016/j.gtc.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
The human gut microbiota, consisting of trillions of microorganisms, encodes diverse metabolic pathways that impact numerous aspects of host physiology. One key way in which gut bacteria interact with the host is through the production of small metabolites. Several of these microbiota-dependent metabolites, such as short-chain fatty acids, have been shown to modulate host diseases. In this review, we examine how disease-associated metabolic signatures are identified using metabolomic platforms, and where metabolomics is applied in gut microbiota-disease interactions. We further explore how integration of metagenomic and metabolomic data in human studies can facilitate biomarkers discoveries in precision medicine.
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Affiliation(s)
- Yuxin Li
- Biochemistry Graduate Program, Duke University School of Medicine, Durham, NC 27710, USA
| | - Shuo Han
- Department of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA; Duke Microbiome Center, Duke University School of Medicine, Durham, NC 27710, USA; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, NC 27710, USA.
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Suthar H, Tanghal RB, Chatzi L, Goodrich JA, Morello-Frosch R, Aung M. Metabolic Perturbations Associated with both PFAS Exposure and Perinatal/Antenatal Depression in Pregnant Individuals: A Meet-in-the-Middle Scoping Review. Curr Environ Health Rep 2024; 11:404-415. [PMID: 38898328 PMCID: PMC11324697 DOI: 10.1007/s40572-024-00451-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE OF REVIEW Depression during the perinatal or antenatal period affects at least 1 in 10 women worldwide, with long term health implications for the mother and child. Concurrently, there is increasing evidence associating maternal exposure to per- and poly-fluoroalkyl substances (PFAS) to adverse pregnancy outcomes. We reviewed the body of evidence examining both the associations between PFAS exposure and perturbations in the maternal metabolome, and the associations between the maternal metabolome and perinatal/antenatal depression. Through this, we sought to explore existing evidence of the perinatal metabolome as a potential mediation pathway linking PFAS exposure and perinatal/antenatal depression. RECENT FINDINGS There are few studies examining the metabolomics of PFAS exposure-specifically in pregnant women-and the metabolomics of perinatal/antenatal depression, let alone studies examining both simultaneously. Of the studies reviewed (N = 11), the majority were cross sectional, based outside of the US, and conducted on largely homogenous populations. Our review identified 23 metabolic pathways in the perinatal metabolome common to both PFAS exposure and perinatal/antenatal depression. Future studies may consider findings from our review to conduct literature-derived hypothesis testing focusing on fatty acid metabolism, alanine metabolism, glutamate metabolism, and tyrosine metabolism when exploring the biochemical mechanisms conferring the risk of perinatal/antenatal depression due to PFAS exposure. We recommend that researchers also utilize heterogenous populations, longitudinal study designs, and mediation approaches to elucidate key pathways linking PFAS exposures to perinatal/antenatal depression.
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Affiliation(s)
- Himal Suthar
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Roselyn B Tanghal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Jesse A Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, and Management, University of California, 130 Mulford Hall #3114, Berkeley, CA, 94720, USA
| | - Max Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA.
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Pollak J, Mayonu M, Jiang L, Wang B. The development of machine learning approaches in two-dimensional NMR data interpretation for metabolomics applications. Anal Biochem 2024:115654. [PMID: 39187053 DOI: 10.1016/j.ab.2024.115654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 08/22/2024] [Accepted: 08/22/2024] [Indexed: 08/28/2024]
Abstract
Metabolomics has been widely applied in human diseases and environmental science to study the systematic changes of metabolites over diverse types of stimuli. NMR-based metabolomics has been widely used, but the peak overlap problems in the one-dimensional (1D) NMR spectrum could limit the accuracy of quantitative analysis for metabolomics applications. Two-dimensional (2D) NMR has been applied to solve the 1D NMR overlap problem, but the data processing is still challenging. In this study, we built an automatic approach to process the 2D NMR data for quantitative applications using machine learning approaches. Partial least square discriminant analysis (PLS-DA), artificial neural network classification (ANN-DA), gradient boosted trees classification (XGBoost-DA), and artificial deep learning neural network classification (ANNDL-DA) were applied in combination with an automatic peak selection approach. Standard mixtures, sea anemone extracts, and mouse fecal samples were tested to demonstrate the approach. Our results showed that ANN-DA and ANNDL-DA have high accuracy in selecting 2D NMR peaks (around 90%), which have a high potential application in 2D NMR-based metabolomics quantitively study, while PLS-DA and XGBoost-DA showed limitations in either data variation or overfitting. Our study built an automatic approach to applying 2D NMR data to routine quantitative analysis in metabolomics.
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Affiliation(s)
- Julie Pollak
- Department of Chemistry and Chemical Engineering, Florida Institute of Technology, 150 West University Boulevard, Melbourne, FL 32901-6975
| | - Moses Mayonu
- Department of Chemistry and Chemical Engineering, Florida Institute of Technology, 150 West University Boulevard, Melbourne, FL 32901-6975
| | - Lin Jiang
- Natural Sciences Division, New College of Florida, 5800 Bay Shore Road, Sarasota, FL 34243
| | - Bo Wang
- Department of Chemistry and Chemical Engineering, Florida Institute of Technology, 150 West University Boulevard, Melbourne, FL 32901-6975.
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Singh U, Emwas AH, Jaremko M. Enhancement of weak signals by applying a suppression method to high-intense methyl and methylene signals of lipids in NMR spectroscopy. RSC Adv 2024; 14:26873-26883. [PMID: 39193283 PMCID: PMC11347981 DOI: 10.1039/d4ra03019b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 08/18/2024] [Indexed: 08/29/2024] Open
Abstract
Lipids play crucial roles in human biology, serving as energy stores, cell membranes, hormone production, and signaling molecules. Accordingly, their study under lipidomics has advanced the study of living organisms. 1-Dimensional (D) and 2D NMR methods, particularly 1D 1H and 2D 1H-1H Total Correlation Spectroscopy (TOCSY), are commonly used in lipidomics for quantification and structural identification. However, these NMR methods suffer from low sensitivity, especially in cases of low concentrated molecules such as protons attached to hydroxy, esters, aliphatic, or aromatic unsaturated carbons. Such molecules are common in complex mixtures such as dairy products and plant oils. On the other hand, lipids have highly populated fractions of methyl and methylene groups that result in intense peaks that overwhelm lower peaks and cause inhomogeneities in 2D TOCSY spectra. In this study, we applied a method of suppression to suppress these intense peaks of methyl and methylene groups to detect weaker peaks. The suppression method was investigated on samples of cheese, butter, a mixture of lipids, coconut oil, and olive oil. A significant improvement in peak sensitivity and visibility of cross-peaks was observed, leading to enhanced comparative quantification and structural identification of a greater number of lipids. Additionally, the enhanced sensitivity reduced the time required for the qualitative and comparative quantification of other lipid compounds and components. This, in turn, enables faster and more reliable structural identification and comparative quantification of a greater number of lipids. Additionally, it reduces the time required for the qualitative, and comparative quantification due to the enhancement of sensitivity.
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Affiliation(s)
- Upendra Singh
- Division of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955-6900 Saudi Arabia
| | - Abdul-Hamid Emwas
- Core Lab of NMR, King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955-6900 Saudi Arabia
| | - Mariusz Jaremko
- Smart-Health Initiative (SHI), Red Sea Research Center (RSRC), Division of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955-6900 Saudi Arabia
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van Lingen HJ, Suarez-Diez M, Saccenti E. Normalization of gene counts affects principal components-based exploratory analysis of RNA-sequencing data. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2024:195058. [PMID: 39154857 DOI: 10.1016/j.bbagrm.2024.195058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/25/2024] [Accepted: 08/09/2024] [Indexed: 08/20/2024]
Abstract
Normalization of count data is an essential step of in the analysis of RNA-sequencing data. Its statistical analysis has been mostly addressed in the context of differential expression analysis, that is in the univariate setting. However, relationships between genes and samples are better explored and quantified using multivariate exploratory data analysis tools like Principal Component Analysis (PCA). In this study we investigate how normalization impacts PCA models and interpretation, considering twelve different widely used normalization methods that were applied on simulated and experimental data. Correlation patterns in the normalized data were explored using both summary statistics and Covariance Simultaneous Component Analysis. The impact of normalization on the PCA solutions was assessed by exploring the model complexity, the quality of sample clustering in the low-dimensional PCA space and gene ranking in the model fit to normalized data. PCA models upon normalization were interpreted in the context gene enrichment pathway analysis. We found that although PCA score plots are often similar independently form the normalization used, biological interpretation of the models can depend heavily on the normalization method applied.
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Affiliation(s)
- Henk J van Lingen
- Laboratory of Systems and Synthetic Biology, Wageningen University & Research, the Netherlands
| | - Maria Suarez-Diez
- Laboratory of Systems and Synthetic Biology, Wageningen University & Research, the Netherlands
| | - Edoardo Saccenti
- Laboratory of Systems and Synthetic Biology, Wageningen University & Research, the Netherlands.
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Li Y, Vulpe C, Lammers T, Pallares RM. Assessing inorganic nanoparticle toxicity through omics approaches. NANOSCALE 2024. [PMID: 39145718 DOI: 10.1039/d4nr02328e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
In the last two decades, the development of nanotechnology has resulted in inorganic nanoparticles playing crucial roles in key industries, ranging from healthcare to energy technologies. For instance, gold and silver nanoparticles are widely used in rapid COVID-19 and flu tests, titania and zinc oxide nanoparticles are commonly found in cosmetic products, and superparamagnetic iron oxide nanoparticles have been clinically exploited as contrast agents and anti-anemia medicines. As a result, human exposure to nanomaterials is continuously increasing, raising concerns about their potential adverse health effects. Historically, the study of nanoparticle toxicity has largely relied on macroscopic observations obtained in different in vitro and in vivo models, resulting in readouts such as median lethal dose, biodistribution profile, and/or histopathological assessment. In recent years, omics methodologies, including transcriptomics, epigenomics, proteomics, metabolomics, and lipidomics, are increasingly used to characterize the biological interactions of nanomaterials, providing a better and broader understanding of their impact and mechanisms of toxicity. These approaches have been able to identify important genes and gene products that mediate toxicological effects, as well as endogenous functions and pathways dysregulated by nanoparticles. Omics methods improve our understanding of nanoparticle biology, and unravel mechanistic insights into nanomedicine-based therapies. This review aims to provide a deeper understanding and new perspectives of omics approaches to characterize the toxicity and biological interactions of inorganic nanoparticles, and improve the safety of nanoparticle applications.
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Affiliation(s)
- Yanchen Li
- Institute for Experimental Molecular Imaging, RWTH Aachen University Hospital, Aachen 52074, Germany.
| | - Christopher Vulpe
- Center for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Twan Lammers
- Institute for Experimental Molecular Imaging, RWTH Aachen University Hospital, Aachen 52074, Germany.
| | - Roger M Pallares
- Institute for Experimental Molecular Imaging, RWTH Aachen University Hospital, Aachen 52074, Germany.
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Tripathi T, Chandra Gupta S, Akhtar Khan Y, Shankar Bhunia S, Gupta A, Sarvendra Kumar K, Ralli T, Singh S, Rao CV, Roy R, Sidhu OP, Kanta Barik S. Metabolomics and anti-inflammatory activity of Commiphora madagascariensis jacq. leaves extract using in vitro and in vivo models. J Chromatogr B Analyt Technol Biomed Life Sci 2024; 1244:124214. [PMID: 39032480 DOI: 10.1016/j.jchromb.2024.124214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/11/2024] [Accepted: 06/19/2024] [Indexed: 07/23/2024]
Abstract
C. madagascariensis, an unexplored species of Burseraceae is used by local population for the management of inflammation and throat pain. The disease alleviation by this plant could be due to the presence of rich repository of active compounds with various pharmacological importances. In this study, therefore, the profiling of metabolites and isolation of active compounds of C. madagascariensis was performed. Furthermore, the ethanol, ethyl acetate extracts and a selected active compound was subjected for in vitro and in vivo anti-inflammatory activities. Metabolomic analysis identified and quantified 116 metabolites from leaves, young stem and gum-resins of C. madagascariensis (Burseraceae) followed by multivariate PCA analysis. NMR, GC-MS and HPLC were used to analyze primary and secondary metabolites. Subsequently, five main isolated compounds were identified as trimethoxy tetrahydrobenzo dioxolo isochromene (TTDI), butyl phenol, butyl propionate phenol, germacrone and β-elemenone. Amongst them, TTDI was found to be a novel compound. Hence, a process was developed to obtain the enriched fraction of TTDI in ethanol and ethyl acetate extracts of leaves. Furthermore, TTDI and extracts were subjected for their in vitro anti-inflammatory activity in LPS sensitized murine splenocytes. The results showed that TTDI and both extracts significantly suppressed the levels of pro-inflammatorycytokines (TNF-α, IFN-γ). Interestingly, the suppression of pro-inflammatory cytokines was evenmore significant by the similar concentration of TTDI when compared with colchicine. However, the level of anti-inflammatory cytokine (IL-10) was found to be unchanged. Additionally, in vivo anti-inflammatory study revealed a significant reduction in carrageenan induced paw edema by TTDI and both the extracts. In the docking study, TTDI was more active than colchicine with strong binding affinity to COX-2, PLA2, and 5β reductase. Our results highlighted that the presence of metabolites with medicinal and nutraceutical importance in C. madagascariensis, could provide opportunities for the development of a new plant-based therapeutics for inflammation.
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Affiliation(s)
- Tusha Tripathi
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India.
| | - Sateesh Chandra Gupta
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Yasir Akhtar Khan
- CSIR-Central Drug Research Institute, Jankipuram Extension, Sitapur Road, Lucknow-226031, UP, India; Section of Parasitology, Department of Zoology, Aligarh Muslim University, Aligarh, U.P 202002, India
| | - Shome Shankar Bhunia
- CSIR-Central Drug Research Institute, Jankipuram Extension, Sitapur Road, Lucknow-226031, UP, India
| | - Annie Gupta
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India
| | - Kunwar Sarvendra Kumar
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India
| | - Tanya Ralli
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| | - Suruchi Singh
- Centre of Biomedical Research, Formerly Known as Centre of Biomedical Magnetic Resonance, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Raebareli Road, Lucknow 226014, UP, India
| | - Chandana V Rao
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India
| | - Raja Roy
- Centre of Biomedical Research, Formerly Known as Centre of Biomedical Magnetic Resonance, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Raebareli Road, Lucknow 226014, UP, India.
| | - Om P Sidhu
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Saroj Kanta Barik
- CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226 001, UP, India
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An L, Liu H, Li M, Ma J, Zheng L, Zhou J, Zhang J, Yuan Y, Wu X. Unveiling the impact of harvest time on Dioscorea opposita Thunb. cv. Tiegun maturity by NMR-based metabolomics and LC-MS/MS analysis. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:6342-6349. [PMID: 38415792 DOI: 10.1002/jsfa.13418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/29/2024] [Accepted: 02/25/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Dioscorea opposita Thunb. cv. Tiegun maturity (DM) is an important factor influencing its quality. However, there are few studies on the impact of harvest time on its maturation. In the present study, a NMR-based metabolomics approach was applied to investigate the dynamic metabolic changes of D. opposita Thunb. cv. Tiegun at six different harvest stages: stage 1 (S1), stage 2 (S2), Stage 3 (S3), stage 4 (S4), stage 5 (S5) and stage 6 (S6). RESULTS Principal component analysis showed distinct segregation of samples obtained from S1, S2 and S3 compared to those derived from S4, S5 and S6. Interestingly, these samples from the two periods were obtained before and after frost, indicating that frost descent might be important for DM. Eight differential metabolites responsible for good separation of different groups were identified by the principal component analysis loading plot and partial least squares-discriminant analysis. In addition, quantitative analysis of these metabolites using liquid chromatography-tandem mass spectrometry determined the effects of harvest time on these metabolite contents, two of which, sucrose and allantoin, were considered as potential biomarkers to determine DM. CONCLUSION The present study demonstrated that NMR-based metabolomics approach could serve as a powerful tool to identify differential metabolites during harvesting processes, also offering a fresh insight into understanding the DM and the potential mechanism of quality formation. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Li An
- Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China
| | - Hao Liu
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, China
| | - Meng Li
- Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China
| | - Jingwei Ma
- Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China
| | - Lufei Zheng
- Institute of Quality Standards and Testing Technology for Agro-products of CAAS, Beijing, China
| | - Juan Zhou
- Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China
| | - Junfeng Zhang
- Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China
| | - Yongliang Yuan
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xujin Wu
- Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China
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Belete GT, Zhou L, Li KK, So PK, Do CW, Lam TC. Metabolomics studies in common multifactorial eye disorders: a review of biomarker discovery for age-related macular degeneration, glaucoma, diabetic retinopathy and myopia. Front Mol Biosci 2024; 11:1403844. [PMID: 39193222 PMCID: PMC11347317 DOI: 10.3389/fmolb.2024.1403844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 07/24/2024] [Indexed: 08/29/2024] Open
Abstract
Introduction Multifactorial Eye disorders are a significant public health concern and have a huge impact on quality of life. The pathophysiological mechanisms underlying these eye disorders were not completely understood since functional and low-throughput biological tests were used. By identifying biomarkers linked to eye disorders, metabolomics enables early identification, tracking of the course of the disease, and personalized treatment. Methods The electronic databases of PubMed, Scopus, PsycINFO, and Web of Science were searched for research related to Age-Related macular degeneration (AMD), glaucoma, myopia, and diabetic retinopathy (DR). The search was conducted in August 2023. The number of cases and controls, the study's design, the analytical methods used, and the results of the metabolomics analysis were all extracted. Using the QUADOMICS tool, the quality of the studies included was evaluated, and metabolic pathways were examined for distinct metabolic profiles. We used MetaboAnalyst 5.0 to undertake pathway analysis of differential metabolites. Results Metabolomics studies included in this review consisted of 36 human studies (5 Age-related macular degeneration, 10 Glaucoma, 13 Diabetic retinopathy, and 8 Myopia). The most networked metabolites in AMD include glycine and adenosine monophosphate, while methionine, lysine, alanine, glyoxylic acid, and cysteine were identified in glaucoma. Furthermore, in myopia, glycerol, glutamic acid, pyruvic acid, glycine, cysteine, and oxoglutaric acid constituted significant metabolites, while glycerol, glutamic acid, lysine, citric acid, alanine, and serotonin are highly networked metabolites in cases of diabetic retinopathy. The common top metabolic pathways significantly enriched and associated with AMD, glaucoma, DR, and myopia were arginine and proline metabolism, methionine metabolism, glycine and serine metabolism, urea cycle metabolism, and purine metabolism. Conclusion This review recapitulates potential metabolic biomarkers, networks and pathways in AMD, glaucoma, DR, and myopia, providing new clues to elucidate disease mechanisms and therapeutic targets. The emergence of advanced metabolomics techniques has significantly enhanced the capability of metabolic profiling and provides novel perspectives on the metabolism and underlying pathogenesis of these multifactorial eye conditions. The advancement of metabolomics is anticipated to foster a deeper comprehension of disease etiology, facilitate the identification of novel therapeutic targets, and usher in an era of personalized medicine in eye research.
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Affiliation(s)
- Gizachew Tilahun Belete
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Lei Zhou
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Centre for Eye and Vision Research (CEVR), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - King-Kit Li
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Pui-Kin So
- University Research Facility in Life Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Chi-Wai Do
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Centre for Eye and Vision Research (CEVR), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for Chinese Medicine Innovation (RCMI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Thomas Chuen Lam
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Centre for Eye and Vision Research (CEVR), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for Chinese Medicine Innovation (RCMI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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Cravero BH, Prez G, Lombardo VA, Guastaferri FV, Delprato CB, Altabe S, de Mendoza D, Binolfi A. A high-resolution 13C NMR approach for profiling fatty acid unsaturation in lipid extracts and in live C. elegans. J Lipid Res 2024:100618. [PMID: 39127170 DOI: 10.1016/j.jlr.2024.100618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 08/05/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024] Open
Abstract
Unsaturated fatty acids (UFA) play a crucial role in central cellular processes in animals, including membrane function, development, and disease. Disruptions in UFA homeostasis can contribute to the onset of metabolic, cardiovascular, and neurodegenerative disorders. Consequently, there is a high demand for analytical techniques to study lipid compositions in live cells and multicellular organisms. Conventional analysis of UFA compositions in cells, tissues and organisms involves solvent extraction procedures coupled with analytical techniques such as gas chromatography,mass spectrometry (MS) and/or nuclear magnetic resonance (NMR) spectroscopy. As a non-destructive and non-targeted technique, NMR spectroscopy is uniquely capable of characterizing the chemical profiling of living cells and multicellular organisms. Here we use NMR spectroscopy to analyze C. elegans, enabling the determination of their lipid compositions and fatty acid unsaturation levels both in cell-free lipid extracts and in vivo. The NMR spectra of lipid extracts from wild-type and fat-3 mutant C. elegans strains revealed notable differences due to the absence of Δ-6 fatty acid desaturase activity, including the lack of arachidonic and eicosapentaenoic acyl chains. Uniform 13C-isotope labeling and high-resolution 2D solution-state NMR of live worms confirmed these findings, indicating that the signals originated from fast-tumbling lipid molecules within lipid droplets. Overall, this strategy permits the analysis of lipid storage in intact worms and has enough resolution and sensitivity to identify differences between wild type and mutant animals with impaired fatty acid desaturation. Our results establish methodological benchmarks for future investigations of fatty acid regulation in live C. elegans using NMR.
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Affiliation(s)
- Bruno Hernández Cravero
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina
| | - Gastón Prez
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina
| | - Verónica A Lombardo
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina; Center of Interdisciplinary Studies (CEI), National University of Rosario (UNR), Maipú 1065, 2000 Rosario, Argentina
| | - Florencia V Guastaferri
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina
| | - Carla B Delprato
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina
| | - Silvia Altabe
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina; Department of Microbiology, Faculty of Biochemical and Pharmaceutical Sciences (FBIOyF), National University of Rosario (UNR) Suipacha 598, 2000 Rosario, Argentina
| | - Diego de Mendoza
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina; Department of Microbiology, Faculty of Biochemical and Pharmaceutical Sciences (FBIOyF), National University of Rosario (UNR) Suipacha 598, 2000 Rosario, Argentina.
| | - Andres Binolfi
- Institute of Molecular and Cellular Biology of Rosario (IBR-CONICET-UNR), Ocampo y Esmeralda, 2000, Rosario, Argentina; Argentinian Platform of Structural Biology and Metabolomics (PLABEM), Ocampo y Esmeralda, 2000 Rosario, Argentina.
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12
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Alwahsh M, Alejel R, Hasan A, Abuzaid H, Al-Qirim T. The Application of Metabolomics in Hyperlipidemia: Insights into Biomarker Discovery and Treatment Efficacy Assessment. Metabolites 2024; 14:438. [PMID: 39195534 DOI: 10.3390/metabo14080438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 08/02/2024] [Accepted: 08/05/2024] [Indexed: 08/29/2024] Open
Abstract
Hyperlipidemia is a lipid metabolism disorder that refers to increased levels of total triglycerides (TGs), cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) and decreased levels of high-density lipoprotein-cholesterol (HDL-C). It is a major public health issue with increased prevalence and incidence worldwide. The ability to identify individuals at risk of this disorder before symptoms manifest will facilitate timely intervention and management to avert potential complications. This can be achieved by employing metabolomics as an early detection method for the diagnostic biomarkers of hyperlipidemia. Metabolomics is an analytical approach used to detect and quantify metabolites. This provides the ability to explain the metabolic processes involved in the development and progression of certain diseases. In recent years, interest in the use of metabolomics to identify disease biomarkers has increased, and several biomarkers have been discovered, such as docosahexaenoic acid, glycocholic acid, citric acid, betaine, and carnitine. This review discusses the primary metabolic alterations in the context of hyperlipidemia. Furthermore, we provide an overview of recent studies on the application of metabolomics to the assessment of the efficacy of traditional herbal products and common lipid-lowering medications.
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Affiliation(s)
- Mohammad Alwahsh
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Rahaf Alejel
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Aya Hasan
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Haneen Abuzaid
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Tariq Al-Qirim
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
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13
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Jinks M, Davies EC, Boughton BA, Lodge S, Maker GL. 1H NMR spectroscopic characterisation of HepG2 cells as a model metabolic system for toxicology studies. Toxicol In Vitro 2024; 99:105881. [PMID: 38906200 DOI: 10.1016/j.tiv.2024.105881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 06/23/2024]
Abstract
The immortalised human hepatocellular HepG2 cell line is commonly used for toxicology studies as an alternative to animal testing due to its characteristic liver-distinctive functions. However, little is known about the baseline metabolic changes within these cells upon toxin exposure. We have applied 1H Nuclear Magnetic Resonance (NMR) spectroscopy to characterise the biochemical composition of HepG2 cells at baseline and post-exposure to hydrogen peroxide (H2O2). Metabolic profiles of live cells, cell extracts, and their spent media supernatants were obtained using 1H high-resolution magic angle spinning (HR-MAS) NMR and 1H NMR spectroscopic techniques. Orthogonal partial least squares discriminant analysis (O-PLS-DA) was used to characterise the metabolites that differed between the baseline and H2O2 treated groups. The results showed that H2O2 caused alterations to 10 metabolites, including acetate, glutamate, lipids, phosphocholine, and creatine in the live cells; 25 metabolites, including acetate, alanine, adenosine diphosphate (ADP), aspartate, citrate, creatine, glucose, glutamine, glutathione, and lactate in the cell extracts, and 22 metabolites, including acetate, alanine, formate, glucose, pyruvate, phenylalanine, threonine, tryptophan, tyrosine, and valine in the cell supernatants. At least 10 biochemical pathways associated with these metabolites were disrupted upon toxin exposure, including those involved in energy, lipid, and amino acid metabolism. Our findings illustrate the ability of NMR-based metabolic profiling of immortalised human cells to detect metabolic effects on central metabolism due to toxin exposure. The established data sets will enable more subtle biochemical changes in the HepG2 model cell system to be identified in future toxicity testing.
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Affiliation(s)
- Maren Jinks
- Australian National Phenome, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; Medical, Molecular and Forensic Sciences, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
| | - Emily C Davies
- Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; Medical, Molecular and Forensic Sciences, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
| | - Berin A Boughton
- Australian National Phenome, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; La Trobe Institute for Sustainable Agriculture and Food, AgriBio, La Trobe University, Bundoora, VIC 3083, Australia
| | - Samantha Lodge
- Australian National Phenome, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia
| | - Garth L Maker
- Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, WA 6150, Australia; Medical, Molecular and Forensic Sciences, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia.
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14
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Salmerón AM, Pérez-Fernández C, Abreu AC, Fernández S, Tristán AI, Ruiz-Sobremazas D, Cabré M, Guardia-Escote L, Fernández I, Sánchez-Santed F. Exploring microbiota-gut-brain axis biomarkers linked to autism spectrum disorder in prenatally chlorpyrifos-exposed Fmr1 knock-out and wild-type male rats. Toxicology 2024; 506:153871. [PMID: 38925359 DOI: 10.1016/j.tox.2024.153871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 06/19/2024] [Accepted: 06/21/2024] [Indexed: 06/28/2024]
Abstract
Fmr1 (fragile X messenger ribonucleoprotein 1)-knockout (KO) rats, modeling the human Fragile X Syndrome (FXS), are of particular interest for exploring the ASD-like phenotype in preclinical studies. Gestational exposure to chlorpyrifos (CPF) has been associated with ASD diagnosis in humans and ASD-like behaviors in rodents and linked to the microbiota-gut-brain axis. In this study, we have used both Fmr1-KO and wild-type male rats (F2 generation) at postnatal days (PND) 7 and 40 obtained after F1 pregnant females were randomly exposed to 1 mg/kg/mL/day of CPF or vehicle. A nuclear magnetic resonance (NMR) metabolomics approach together with gene expression profiles of these F2 generation rats were employed to analyze different brain regions (such as prefrontal cortex, hippocampus, and cerebellum), whole large intestine (at PND7) and gut content (PND40). The statistical comparison of each matrix spectral profile unveiled tissue-specific metabolic fingerprints. Significant variations in some biomarker levels were detected among brain tissues of different genotypes, including taurine, myo-inositol, and 3-hydroxybutyric acid, and exposure to CPF induced distinct metabolic alterations, particularly in serine and myo-inositol. Additionally, this study provides a set of metabolites associated with gastrointestinal dysfunction in ASD, encompassing several amino acids, choline-derived compounds, bile acids, and sterol molecules. In terms of gene expression, genotype and gestational exposure to CPF had only minimal effects on decarboxylase 2 (gad2) and cholinergic receptor muscarinic 2 (chrm2) genes.
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Affiliation(s)
- Ana M Salmerón
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Almería, Spain
| | - Cristian Pérez-Fernández
- Department of Psychology and Health Research Centre, Research Centre for Social Welfare and Inclusion (CIBIS), University of Almería, Ctra. Sacramento s/n, Almería 04120, Spain
| | - Ana C Abreu
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Almería, Spain.
| | - Silvia Fernández
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Almería, Spain
| | - Ana I Tristán
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Almería, Spain
| | - Diego Ruiz-Sobremazas
- Department of Psychology and Health Research Centre, Research Centre for Social Welfare and Inclusion (CIBIS), University of Almería, Ctra. Sacramento s/n, Almería 04120, Spain
| | - María Cabré
- Research Group in Neurobehavior and Health (NEUROLAB) and Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, Tarragona, Spain
| | - Laia Guardia-Escote
- Research Group in Neurobehavior and Health (NEUROLAB) and Department of Psychology and Research Center for Behavior Assessment (CRAMC), Universitat Rovira i Virgili, Tarragona, Spain
| | - Ignacio Fernández
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Almería, Spain.
| | - Fernando Sánchez-Santed
- Department of Psychology and Health Research Centre, Research Centre for Social Welfare and Inclusion (CIBIS), University of Almería, Ctra. Sacramento s/n, Almería 04120, Spain.
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15
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Michaud A, Bertrand S, Akoka S, Farjon J, Martineau E, Ruiz N, Robiou du Pont T, Grovel O, Giraudeau P. Exploring the complementarity of fast multipulse and multidimensional NMR methods for metabolomics: a chemical ecology case study. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:5166-5177. [PMID: 39028155 DOI: 10.1039/d4ay01225a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
This study investigates the potential and complementarity of high-throughput multipulse and multidimensional NMR methods for metabolomics. Through a chemical ecology case study, three methods are investigated, offering a continuum of methods with complementary features in terms of resolution, sensitivity and experiment time. Ultrafast 2D COSY, adiabatic INEPT and SYMAPS HSQC are shown to provide a very good classification ability, comparable to the reference 1D 1H NMR method. Moreover, a detailed analysis of discriminant buckets upon supervised statistical analysis shows that all methods are highly complementary, since they are able to highlight discriminant signals that could not be detected by 1D 1H NMR. In particular, fast 2D methods appear very efficient to discriminate signals located in highly crowded regions of the 1H spectrum. Overall, the combination of these recent methods within a single NMR metabolomics workflow allows to maximize the accessible metabolic information, and also raises exciting challenges in terms of NMR data analysis for chemical ecology.
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Affiliation(s)
- Aurore Michaud
- Nantes Université, CNRS, CEISAM, UMR 6230, F-44000 Nantes, France.
- Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France.
| | - Samuel Bertrand
- Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France.
- Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France
| | - Serge Akoka
- Nantes Université, CNRS, CEISAM, UMR 6230, F-44000 Nantes, France.
| | - Jonathan Farjon
- Nantes Université, CNRS, CEISAM, UMR 6230, F-44000 Nantes, France.
| | | | - Nicolas Ruiz
- Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France.
| | - Thibaut Robiou du Pont
- Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France.
| | - Olivier Grovel
- Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France.
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16
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Wang X, Peng R, Zhao L. Multiscale metabolomics techniques: Insights into neuroscience research. Neurobiol Dis 2024; 198:106541. [PMID: 38806132 DOI: 10.1016/j.nbd.2024.106541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 05/30/2024] Open
Abstract
The field of metabolomics examines the overall composition and dynamic patterns of metabolites in living organisms. The primary methods used in metabolomics include liquid chromatography (LC), nuclear magnetic resonance (NMR), and mass spectrometry (MS) analysis. These methods enable the identification and examination of metabolite types and contents within organisms, as well as modifications to metabolic pathways and their connection to the emergence of diseases. Research in metabolomics has extensive value in basic and applied sciences. The field of metabolomics is growing quickly, with the majority of studies concentrating on biomedicine, particularly early disease diagnosis, therapeutic management of human diseases, and mechanistic knowledge of biochemical processes. Multiscale metabolomics is an approach that integrates metabolomics techniques at various scales, including the holistic, tissue, cellular, and organelle scales, to enable more thorough and in-depth studies of metabolic processes in organisms. Multiscale metabolomics can be combined with methods from systems biology and bioinformatics. In recent years, multiscale metabolomics approaches have become increasingly important in neuroscience research due to the nervous system's high metabolic demands. Multiscale metabolomics can offer novel concepts and approaches for the diagnosis, treatment, and development of medication for neurological illnesses in addition to a more thorough understanding of brain metabolism and nervous system function. In this review, we summarize the use of multiscale metabolomics techniques in neuroscience, address the promise and constraints of these techniques, and provide an overview of the metabolome and its applications in neuroscience.
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Affiliation(s)
- Xiaoya Wang
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Ruiyun Peng
- Beijing Institute of Radiation Medicine, Beijing 100850, China.
| | - Li Zhao
- Beijing Institute of Radiation Medicine, Beijing 100850, China.
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17
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Vieira J, Karampatsi D, Vercalsteren E, Darsalia V, Patrone C, Duarte J. Nuclear magnetic resonance spectroscopy reveals biomarkers of stroke recovery in a mouse model of obesity-associated type 2 diabetes. Biosci Rep 2024; 44:BSR20240249. [PMID: 38864508 PMCID: PMC11230867 DOI: 10.1042/bsr20240249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/03/2024] [Accepted: 06/12/2024] [Indexed: 06/13/2024] Open
Abstract
Obesity and Type 2 diabetes (T2D) are known to exacerbate cerebral injury caused by stroke. Metabolomics can provide signatures of metabolic disease, and now we explored whether the analysis of plasma metabolites carries biomarkers of how obesity and T2D impact post-stroke recovery. Male mice were fed a high-fat diet (HFD) for 10 months leading to development of obesity with T2D or a standard diet (non-diabetic mice). Then, mice were subjected to either transient middle cerebral artery occlusion (tMCAO) or sham surgery and allowed to recover on standard diet for 2 months before serum samples were collected. Nuclear magnetic resonance (NMR) spectroscopy of serum samples was used to investigate metabolite signals and metabolic pathways that were associated with tMCAO recovery in either T2D or non-diabetic mice. Overall, after post-stroke recovery there were different serum metabolite profiles in T2D and non-diabetic mice. In non-diabetic mice, which show full neurological recovery after stroke, we observed a reduction of isovalerate, and an increase of kynurenate, uridine monophosphate, gluconate and N6-acetyllysine in tMCAO relative to sham mice. In contrast, in mice with T2D, which show impaired stroke recovery, there was a reduction of N,N-dimethylglycine, succinate and proline, and an increase of 2-oxocaproate in serum of tMCAO versus sham mice. Given the inability of T2D mice to recover from stroke, in contrast with non-diabetic mice, we propose that these specific metabolite changes following tMCAO might be used as biomarkers of neurophysiological recovery after stroke in T2D.
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Affiliation(s)
- João P.P. Vieira
- Diabetes and Brain Function Unit, Department of Experimental Medical Science, Faculty of Medicine, Lund University, 221 84 Lund, Sweden
- Wallenberg Centre for Molecular Medicine, Lund University, 221 84 Lund, Sweden
| | - Dimitra Karampatsi
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83 Stockholm, Sweden
| | - Ellen Vercalsteren
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83 Stockholm, Sweden
| | - Vladimer Darsalia
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83 Stockholm, Sweden
| | - Cesare Patrone
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83 Stockholm, Sweden
| | - Joao M.N. Duarte
- Diabetes and Brain Function Unit, Department of Experimental Medical Science, Faculty of Medicine, Lund University, 221 84 Lund, Sweden
- Wallenberg Centre for Molecular Medicine, Lund University, 221 84 Lund, Sweden
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18
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Samanipour S, Barron LP, van Herwerden D, Praetorius A, Thomas KV, O’Brien JW. Exploring the Chemical Space of the Exposome: How Far Have We Gone? JACS AU 2024; 4:2412-2425. [PMID: 39055136 PMCID: PMC11267556 DOI: 10.1021/jacsau.4c00220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 07/27/2024]
Abstract
Around two-thirds of chronic human disease can not be explained by genetics alone. The Lancet Commission on Pollution and Health estimates that 16% of global premature deaths are linked to pollution. Additionally, it is now thought that humankind has surpassed the safe planetary operating space for introducing human-made chemicals into the Earth System. Direct and indirect exposure to a myriad of chemicals, known and unknown, poses a significant threat to biodiversity and human health, from vaccine efficacy to the rise of antimicrobial resistance as well as autoimmune diseases and mental health disorders. The exposome chemical space remains largely uncharted due to the sheer number of possible chemical structures, estimated at over 1060 unique forms. Conventional methods have cataloged only a fraction of the exposome, overlooking transformation products and often yielding uncertain results. In this Perspective, we have reviewed the latest efforts in mapping the exposome chemical space and its subspaces. We also provide our view on how the integration of data-driven approaches might be able to bridge the identified gaps.
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Affiliation(s)
- Saer Samanipour
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- UvA
Data Science Center, University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- Queensland
Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Leon Patrick Barron
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- MRC
Centre for Environment and Health, Environmental Research Group, School
of Public Health, Faculty of Medicine, Imperial
College London, London W12 0BZ, United Kingdom
| | - Denice van Herwerden
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
| | - Antonia Praetorius
- Institute
for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
| | - Kevin V. Thomas
- Queensland
Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jake William O’Brien
- Van’t
Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090 GD, The Netherlands
- Queensland
Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Cornwall Street, Woolloongabba, Queensland 4102, Australia
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19
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Sharma V, Khokhar M, Panigrahi P, Gadwal A, Setia P, Purohit P. Advancements, Challenges, and clinical implications of integration of metabolomics technologies in diabetic nephropathy. Clin Chim Acta 2024; 561:119842. [PMID: 38969086 DOI: 10.1016/j.cca.2024.119842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 06/25/2024] [Accepted: 06/29/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND Diabetic nephropathy (DN), a severe complication of diabetes, involves a range of renal abnormalities driven by metabolic derangements. Metabolomics, revealing dynamic metabolic shifts in diseases like DN and offering insights into personalized treatment strategies, emerges as a promising tool for improved diagnostics and therapies. METHODS We conducted an extensive literature review to examine how metabolomics contributes to the study of DN and the challenges associated with its implementation in clinical practice. We identified and assessed relevant studies that utilized metabolomics methods, including nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) to assess their efficacy in diagnosing DN. RESULTS Metabolomics unveils key pathways in DN progression, highlighting glucose metabolism, dyslipidemia, and mitochondrial dysfunction. Biomarkers like glycated albumin and free fatty acids offer insights into DN nuances, guiding potential treatments. Metabolomics detects small-molecule metabolites, revealing disease-specific patterns for personalized care. CONCLUSION Metabolomics offers valuable insights into the molecular mechanisms underlying DN progression and holds promise for personalized medicine approaches. Further research in this field is warranted to elucidate additional metabolic pathways and identify novel biomarkers for early detection and targeted therapeutic interventions in DN.
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Affiliation(s)
- V Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan 342005, India
| | - M Khokhar
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan 342005, India
| | - P Panigrahi
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan 342005, India
| | - A Gadwal
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan 342005, India
| | - P Setia
- Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, Rajasthan 342005, India
| | - P Purohit
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan 342005, India.
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20
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Banasaz S, Ferraro V. Keratin from Animal By-Products: Structure, Characterization, Extraction and Application-A Review. Polymers (Basel) 2024; 16:1999. [PMID: 39065316 PMCID: PMC11280741 DOI: 10.3390/polym16141999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/10/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024] Open
Abstract
Keratin is a structural fibrous protein and the core constituent of animal by-products from livestock such as wool, feathers, hooves, horns, and pig bristles. This natural polymer is also the main component of human hair and is present at an important percentage in human and animal skin. Significant amounts of keratin-rich animal tissues are discarded worldwide each year, ca. 12 M tons, and the share used for keratin extraction and added-value applications is still very low. An important stream of new potential raw materials, represented by animal by-products and human hair, is thus being lost, while a large-scale valorization could contribute to a circular bioeconomy and to the reduction in the environmental fingerprint of those tissues. Fortunately, scientific research has made much important progress in the last 10-15 years in the better understanding of the complex keratin architecture and its variability among different animal tissues, in the development of tailored extraction processes, and in the screening of new potential applications. Hence, this review aims at a discussion of the recent findings in the characterization of keratin and keratin-rich animal by-product structures, as well as in keratin recovery by conventional and emerging techniques and advances in valorization in several fields.
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21
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Kumar N, Jaitak V. Recent Advancement in NMR Based Plant Metabolomics: Techniques, Tools, and Analytical Approaches. Crit Rev Anal Chem 2024:1-25. [PMID: 38990786 DOI: 10.1080/10408347.2024.2375314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Plant metabolomics, a rapidly advancing field within plant biology, is dedicated to comprehensively exploring the intricate array of small molecules in plant systems. This entails precisely gathering comprehensive chemical data, detecting numerous metabolites, and ensuring accurate molecular identification. Nuclear magnetic resonance (NMR) spectroscopy, with its detailed chemical insights, is crucial in obtaining metabolite profiles. Its widespread application spans various research disciplines, aiding in comprehending chemical reactions, kinetics, and molecule characterization. Biotechnological advancements have further expanded NMR's utility in metabolomics, particularly in identifying disease biomarkers across diverse fields such as agriculture, medicine, and pharmacology. This review covers the stages of NMR-based metabolomics, including historical aspects and limitations, with sample preparation, data acquisition, spectral processing, analysis, and their application parts.
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Affiliation(s)
- Nitish Kumar
- Department of Pharmaceutical Science and Natural Products, Central University of Punjab, Bathinda, India
| | - Vikas Jaitak
- Department of Pharmaceutical Science and Natural Products, Central University of Punjab, Bathinda, India
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Hu W, Wang W, Liao H, Bulloch G, Zhang X, Shang X, Huang Y, Hu Y, Yu H, Yang X, He M, Zhu Z. Metabolic profiling reveals circulating biomarkers associated with incident and prevalent Parkinson's disease. NPJ Parkinsons Dis 2024; 10:130. [PMID: 38982064 PMCID: PMC11233508 DOI: 10.1038/s41531-024-00713-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 04/19/2024] [Indexed: 07/11/2024] Open
Abstract
The metabolic profile predating the onset of Parkinson's disease (PD) remains unclear. We aim to investigate the metabolites associated with incident and prevalent PD and their predictive values in the UK Biobank participants with metabolomics and genetic data at the baseline. A panel of 249 metabolites was quantified using a nuclear magnetic resonance analytical platform. PD was ascertained by self-reported history, hospital admission records and death registers. Cox proportional hazard models and logistic regression models were used to investigate the associations between metabolites and incident and prevalent PD, respectively. Area under receiver operating characteristics curves (AUC) were used to estimate the predictive values of models for future PD. Among 109,790 participants without PD at the baseline, 639 (0.58%) individuals developed PD after one year from the baseline during a median follow-up period of 12.2 years. Sixty-eight metabolites were associated with incident PD at nominal significance (P < 0.05), spanning lipids, lipid constituent of lipoprotein subclasses and ratios of lipid constituents. After multiple testing corrections (P < 9 × 10-4), polyunsaturated fatty acids (PUFA) and omega-6 fatty acids remained significantly associated with incident PD, and PUFA was shared by incident and prevalent PD. Additionally, 14 metabolites were exclusively associated with prevalent PD, including amino acids, fatty acids, several lipoprotein subclasses and ratios of lipids. Adding these metabolites to the conventional risk factors yielded a comparable predictive performance to the risk-factor-based model (AUC = 0.766 vs AUC = 0.768, P = 0.145). Our findings suggested metabolic profiles provided additional knowledge to understand different pathways related to PD before and after its onset.
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Affiliation(s)
- Wenyi Hu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Huan Liao
- Neural Regeneration Group, Institute of Reconstructive Neurobiology, University of Bonn, Bonn, Germany
| | - Gabriella Bulloch
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia
| | - Xiayin Zhang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xianwen Shang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia
| | - Yu Huang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yijun Hu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Mingguang He
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia.
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
| | - Zhuoting Zhu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia.
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia.
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Forsberg J, Rasmussen CT, van den Berg FWJ, Engelsen SB, Aru V. Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy. Anal Chim Acta 2024; 1311:342722. [PMID: 38816156 DOI: 10.1016/j.aca.2024.342722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/09/2024] [Accepted: 05/12/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND To perform fast, reproducible, and absolute quantitative measurements in an automated manner has become of paramount importance when monitoring industrial processes, including fermentations. Due to its numerous advantages - including its inherent quantitative nature - Proton Nuclear Magnetic Resonance (1H NMR) spectroscopy provides an ideal tool for the time-resolved monitoring of fermentations. However, analytical conditions, including non-automated sample preparation and long relaxation times (T1) of some metabolites, can significantly lengthen the experimental time and make implementation in an industrial set up unfeasible. RESULTS We present a high throughput method based on Standard Operating Procedures (SOPs) and 1H NMR, which lays the foundation for what we call Fermentation Analytical Technology (FAT). Our method was developed for the accurate absolute quantification of metabolites produced during Escherichia coli industrial fermentations. The method includes: (1) a stopped flow system for non-invasive sample collection followed by sample quenching, (2) automatic robot-assisted sample preparation, (3) fast 1H NMR measurements, (4) metabolites quantification using multivariate curve resolution (MCR), and (5) metabolites absolute quantitation using a novel correction factor (k) to compensate for the short recycle delay (D1) employed in the 1H NMR measurements. The quantification performance was tested using two sample types: buffer solutions of chemical standards and real fermentation samples. Five metabolites - glucose, acetate, alanine, phenylalanine and betaine - were quantified. Absolute quantitation ranged between 0.64 and 3.40 mM in pure buffer, and 0.71-7.76 mM in real samples. SIGNIFICANCE The proposed method is generic and can be straight forward implemented to other types of fermentations, such as lactic acid, ethanol and acetic acid fermentations. It provides a high throughput automated solution for monitoring fermentation processes and for quality control through absolute quantification of key metabolites in fermentation broth. It can be easily implemented in an at-line industrial setting, facilitating the optimization of the manufacturing process towards higher yields and more efficient and sustainable use of resources.
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Affiliation(s)
- Jakob Forsberg
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark; Novo Nordisk A/S, Hagedornsvej 1, 2820, Gentofte, Denmark.
| | | | - Frans W J van den Berg
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark
| | - Søren Balling Engelsen
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark
| | - Violetta Aru
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark.
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24
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Gülersoy E, Balıkçı C, Şahan A, Günal İ, Atlı MO. NMR-based metabolomic investigation of dogs with acute flaccid paralysis due to tick paralysis. Vet Med Sci 2024; 10:e1528. [PMID: 38952268 PMCID: PMC11217601 DOI: 10.1002/vms3.1528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 05/20/2024] [Accepted: 06/10/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND Acute flaccid paralysis (AFP) is a complex clinical syndrome with various aetiologies. If untreated, AFP may lead to death due to failure of respiratory muscles. Tick paralysis, which is a noninfectious neurologic syndrome of AFP, occurs following tick attachment, engorgement, and injection of tick saliva toxins. There is no specific diagnostic test for tick paralysis, and mortality increases as definitive diagnosis is delayed. Although metabolomic investigation of tick saliva was conducted, there is a lack of research on metabolomic evaluation of hosts affected by tick paralysis. OBJECTIVES Thus, the aim of this study is to investigate metabolomic changes in serum samples of dogs with tick paralysis due to Rhipicephalus sanguineus using NMR-based metabolomics and to identify potential diagnostic/prognostic markers. MATERIALS AND METHODS Forty dogs infested with R. sanguineus, with clinical findings compatible with AFP and with a confirmed tick paralysis diagnosis ex juvantibus, constituted the Paralysis Group. Ten healthy dogs, which were admitted either for vaccination and/or check-up purposes, constituted the Control Group. After the confirmation tick paralysis, medical history, vaccination and nutritional status, body surface area and estimated tick numbers of all the dogs were noted. Physical examination included body temperature, heart and respiratory rate, capillary refill time evaluation and Modified Glasgow Coma Scale calculation. Serum samples were extracted from venous blood samples of all the dogs and were prepared for NMR analysis, and NMR-based metabolomics identification and quantification were performed. RESULTS NMR-based serum metabolomics of the present study revealed distinct up/down-regulated expressions, presenting a promising avenue. Moreover, it was observed that energy metabolism and especially liver functions were impaired in dogs with tick paralysis, and not only the respiratory system but also the kidneys were affected. CONCLUSION It was concluded that the present approach may help to better understand the pathological mechanisms developing in cases of AFP due to tick paralysis.
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Affiliation(s)
- Erdem Gülersoy
- Veterinary FacultyDepartment of Internal MedicineHarran UniversityŞanlıurfaTurkey
| | - Canberk Balıkçı
- Veterinary FacultyDepartment of Internal MedicineHarran UniversityŞanlıurfaTurkey
| | - Adem Şahan
- Veterinary FacultyDepartment of Internal MedicineHarran UniversityŞanlıurfaTurkey
| | - İsmail Günal
- Veterinary FacultyDepartment of Internal MedicineHarran UniversityŞanlıurfaTurkey
| | - Mehmet Osman Atlı
- Veterinary FacultyDepartment of Reproduction and Artificial InseminationHarran UniversityŞanlıurfaTurkey
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25
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Rua AJ, Mitchell W, Claypool SM, Alder NN, Alexandrescu AT. Perturbations in mitochondrial metabolism associated with defective cardiolipin biosynthesis: An in-organello real-time NMR study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.18.599628. [PMID: 38948727 PMCID: PMC11212973 DOI: 10.1101/2024.06.18.599628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Mitochondria are central to cellular metabolism; hence, their dysfunction contributes to a wide array of human diseases including cancer, cardiopathy, neurodegeneration, and heritable pathologies such as Barth syndrome. Cardiolipin, the signature phospholipid of the mitochondrion promotes proper cristae morphology, bioenergetic functions, and directly affects metabolic reactions carried out in mitochondrial membranes. To match tissue-specific metabolic demands, cardiolipin typically undergoes an acyl tail remodeling process with the final step carried out by the phospholipid-lysophospholipid transacylase tafazzin. Mutations in the tafazzin gene are the primary cause of Barth syndrome. Here, we investigated how defects in cardiolipin biosynthesis and remodeling impact metabolic flux through the tricarboxylic acid cycle and associated pathways in yeast. Nuclear magnetic resonance was used to monitor in real-time the metabolic fate of 13C3-pyruvate in isolated mitochondria from three isogenic yeast strains. We compared mitochondria from a wild-type strain to mitochondria from a Δtaz1 strain that lacks tafazzin and contains lower amounts of unremodeled cardiolipin, and mitochondria from a Δcrd1 strain that lacks cardiolipin synthase and cannot synthesize cardiolipin. We found that the 13C-label from the pyruvate substrate was distributed through about twelve metabolites. Several of the identified metabolites were specific to yeast pathways, including branched chain amino acids and fusel alcohol synthesis. Most metabolites showed similar kinetics amongst the different strains but mevalonate and α-ketoglutarate, as well as the NAD+/NADH couple measured in separate nuclear magnetic resonance experiments, showed pronounced differences. Taken together, the results show that cardiolipin remodeling influences pyruvate metabolism, tricarboxylic acid cycle flux, and the levels of mitochondrial nucleotides.
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Affiliation(s)
- Antonio J. Rua
- Department of Molecular and Cellular Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Wayne Mitchell
- Department of Molecular and Cellular Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Steven M. Claypool
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Mitochondrial Phospholipid Research Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nathan N. Alder
- Department of Molecular and Cellular Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Andrei T. Alexandrescu
- Department of Molecular and Cellular Biology, University of Connecticut, Storrs, CT 06269, USA
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James JJ, Sandhya KV, Sridhar KN, Sudarson S, Basavaraj BV, Bharath S. Proteomic Characterization of Human Placenta: Insights into Potential Therapeutic Applications for Osteoarthritis. AAPS PharmSciTech 2024; 25:139. [PMID: 38890179 DOI: 10.1208/s12249-024-02851-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 05/28/2024] [Indexed: 06/20/2024] Open
Abstract
Biologics have become increasingly prominent as therapeutics in recent years due to their innate immune-privileged nature, biocompatibility, and high levels of protein biofactors. The aim of the study is to characterise the biologic, lyophilized human placenta (LHP) and explore its therapeutic potential for osteoarthritis (OA). The presence of six bioactive constituents that regulate cell-extracellular matrix interaction was identified by liquid chromatography coupled to electrospray ionization and quadrupole time-of-flight mass spectrometry (LC-ESI-QTOF/MS). Metalloproteinase inhibitor 3 (TIMP3), alpha-1 anti-trypsin (a1AT), basic fibroblast growth factor (bFGF), and transforming growth factor β1 (TGFβ1) were detected and quantified using ELISA. The total protein content present in LHP by Bradford assay was found to be 409.35 ± 0.005 μg/ml. The analytical techniques such as Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR), solid state carbon-13 Nuclear Magnetic Resonance (ssC13 NMR) spectroscopy, and Differential Scanning Calorimetry (DSC) revealed the secondary structure and conformational stability of LHP. X-Ray diffraction (XRD) studies showed its amorphous nature. Bioactivity assessment of LHP was performed in human keratinocytes (HaCaT) and human dermal fibroblasts (HDF) by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. The LHP was highly proliferative against skin cells and non-toxic, based on the findings of the bioactivity assay. LHP has the potential to be used as a therapeutic agent for OA, as its characterisation unveiled its physical stability, significant concentration of bioactive components that are pertinent to cartilage repair and its conformational stability.
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Affiliation(s)
- Jithu Jerin James
- Department of Pharmaceutics, Faculty of Pharmacy, MS Ramaiah University of Applied Sciences, University House, Gnanagangothri Campus, New BEL Road, MSR Nagar, Bengaluru, 560054, India
| | - K V Sandhya
- Department of Pharmaceutics, Faculty of Pharmacy, MS Ramaiah University of Applied Sciences, University House, Gnanagangothri Campus, New BEL Road, MSR Nagar, Bengaluru, 560054, India.
| | - K N Sridhar
- Cancyte Technologies Pvt Ltd, Sri Shankara Research Centre, Rangadore Memorial Hospital, Shankarapuram, Bengaluru, India
| | - S Sudarson
- Cancyte Technologies Pvt Ltd, Sri Shankara Research Centre, Rangadore Memorial Hospital, Shankarapuram, Bengaluru, India
| | - B V Basavaraj
- Department of Pharmaceutics, Faculty of Pharmacy, MS Ramaiah University of Applied Sciences, University House, Gnanagangothri Campus, New BEL Road, MSR Nagar, Bengaluru, 560054, India
| | - S Bharath
- Department of Pharmaceutics, Faculty of Pharmacy, MS Ramaiah University of Applied Sciences, University House, Gnanagangothri Campus, New BEL Road, MSR Nagar, Bengaluru, 560054, India
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Mateo-Otero Y. Integrating metabolomics into reproduction: Sperm metabolism and fertility enhancement in pigs. Anim Reprod Sci 2024:107539. [PMID: 38926002 DOI: 10.1016/j.anireprosci.2024.107539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/13/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024]
Abstract
The last decades of research have revealed that many other factors besides gamete genomes are able to determine the reproductive outcomes. Indeed, paternal factors have been observed to be capable of modulating multiple crucial features of the reproductive process, such as sperm physiology, the maternal environment and, even, the offspring health. These recent advances have been encompassed with the emergence of OMICS technologies, as they comprehensively characterise the molecular composition of biological systems. The present narrative review aimed to take a closer look at the potential of these technologies in the field of reproductive biology. This literature revision shows that most studies up to date have followed a non-targeted approach to screen mammalian seminal plasma (SP) and sperm metabolite composition through different metabolome platforms. These studies have proposed metabolites of multiple natures as potential in vivo fertility biomarkers. Yet, targeted approaches can be used to answer specific biological question, and their power is exemplified herein. For instance, metabolomic studies have uncovered not only that glycolysis is the main ATP energy source of pig sperm, but also that sperm metabolism can trigger DNA damage, hence compromise embryo development. In conclusion, this review shows the potential of both non-targeted and targeted metabolomics for the discovery of cell pathways that govern the reproductive process. Understanding these systems could help make progress in different areas, including livestock efficient breeding, the improvement of artificial reproductive technologies, and the development of biomarkers for infertility detection.
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Affiliation(s)
- Yentel Mateo-Otero
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Jeffrey Cheah Biomedical Centre, Cambridge CB2 0AW, UK.
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28
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Dhobale KV, Sahoo L. Identification of mungbean yellow mosaic India virus and susceptibility-related metabolites in the apoplast of mung bean leaves. PLANT CELL REPORTS 2024; 43:173. [PMID: 38877163 DOI: 10.1007/s00299-024-03247-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 06/16/2024]
Abstract
KEY MESSAGE The investigation of MYMIV-infected mung bean leaf apoplast revealed viral genome presence, increased EVs secretion, and altered stress-related metabolite composition, providing comprehensive insights into plant-virus interactions. The apoplast, an extracellular space around plant cells, plays a vital role in plant-microbe interactions, influencing signaling, defense, and nutrient transport. While the involvement of apoplast and extracellular vesicles (EVs) in RNA virus infection is documented, the role of the apoplast in plant DNA viruses remains unclear. This study explores the apoplast's role in mungbean yellow mosaic India virus (MYMIV) infection. Our findings demonstrate the presence of MYMIV genomic components in apoplastic fluid, suggesting potential begomovirus cell-to-cell movement via the apoplast. Moreover, MYMIV infection induces increased EVs secretion into the apoplast. NMR-based metabolomics reveals altered metabolic profiles in both apoplast and symplast in response to MYMIV infection, highlighting key metabolites associated with stress and defense mechanisms. The data show an elevation of α- and β-glucose in both apoplast and symplast, suggesting a shift in glucose utilization. Interestingly, this increase in glucose does not contribute to the synthesis of phenolic compounds, potentially influencing the susceptibility of mung bean to MYMIV. Fructose levels increase in the symplast, while apoplastic sucrose levels rise significantly. Symplastic aspartate levels increase, while proline exhibits elevated concentration in the apoplast and reduced concentration in the cytosol, suggesting a role in triggering a hypersensitive response. These findings underscore the critical role of the apoplast in begomovirus infection, providing insights for targeted viral disease management strategies.
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Affiliation(s)
- Kiran Vilas Dhobale
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Lingaraj Sahoo
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
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29
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Vion C, Le Mao I, Yeramian N, Muro M, Bernard M, Da Costa G, Richard T, Marullo P. Targeted 1-H-NMR wine analyses revealed specific metabolomic signatures of yeast populations belonging to the Saccharomyces genus. Food Microbiol 2024; 120:104463. [PMID: 38431337 DOI: 10.1016/j.fm.2024.104463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 03/05/2024]
Abstract
This study aimed to explore the non-volatile metabolomic variability of a large panel of strains (44) belonging to the Saccharomyces cerevisiae and Saccharomyces uvarum species in the context of the wine alcoholic fermentation. For the S. cerevisiae strains flor, fruit and wine strains isolated from different anthropic niches were compared. This phenotypic survey was achieved with a special focus on acidity management by using natural grape juices showing opposite level of acidity. A 1H NMR based metabolomics approach was developed for quantifying fifteen wine metabolites that showed important quantitative variability within the strains. Thanks to the robustness of the assay and the low amount of sample required, this tool is relevant for the analysis of the metabolomic profile of numerous wines. The S. cerevisiae and S. uvarum species displayed significant differences for malic, succinic, and pyruvic acids, as well as for glycerol and 2,3-butanediol production. As expected, S. uvarum showed weaker fermentation fitness but interesting acidifying properties. The three groups of S. cerevisiae strains showed different metabolic profiles mostly related to their production and consumption of organic acids. More specifically, flor yeast consumed more malic acid and produced more acetic acid than the other S. cerevisiae strains which was never reported before. These features might be linked to the ability of flor yeasts to shift their metabolism during wine oxidation.
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Affiliation(s)
- Charlotte Vion
- Biolaffort, Bordeaux, France; UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France
| | - Ines Le Mao
- UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France
| | - Nadine Yeramian
- Microbiology Division, Department of Biotechnology and Food Science, Faculty of Science-University of Burgos, Spain
| | - Maïtena Muro
- Biolaffort, Bordeaux, France; UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France
| | - Margaux Bernard
- Biolaffort, Bordeaux, France; UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France
| | - Grégory Da Costa
- UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France
| | - Tristan Richard
- UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France
| | - Philippe Marullo
- Biolaffort, Bordeaux, France; UMR 1366 Œnologie, Université de Bordeaux, INRAE, Bordeaux INP, BSA, ISVV, France.
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30
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Alothman A, Emwas AH, Singh U, Jaremko M, Agusti S. Metabolomics-based analysis of the diatom Cheatoceros tenuissimus combining NMR and GC-MS techniques. MethodsX 2024; 12:102695. [PMID: 38595808 PMCID: PMC11001764 DOI: 10.1016/j.mex.2024.102695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Abstract
Metabolomics, a recent addition to omics sciences, studies small molecules across plants, animals, humans, and marine organisms. Nuclear magnetic resonance (NMR) and gas chromatography-mass spectrometry (GC-MS) are widely used in those studies, including microalgae metabolomics. NMR is non-destructive and highly reproducible but has limited sensitivity, which could be supplemented by joining GC-MS analysis. Extracting metabolites from macromolecules requires optimization for trustworthy results. Different extraction methods yield distinct profiles, emphasizing the need for optimization. The results indicated that the optimized extraction procedure successfully identified NMR and GC-MS-based metabolites in MeOH, CHCl3, and H2O extraction solvents. The findings represented the spectral information related to carbohydrates, organic molecules, and amino acids from the water-soluble metabolites fraction and a series of fatty acid chains, lipids, and sterols from the lipid fraction. Our study underscores the benefit of combining NMR and GC-MS techniques to comprehensively understand microalgae metabolomes, including high and low metabolite concentrations and abundances.•In this study, we focused on optimizing the extraction procedure and combining NMR and GC-MS techniques to overcome the low NMR sensitivity and the different detected range limits of NMR and GC-MS.•We explored metabolome diversity in a tropical strain of the small cells' diatom Cheatoceros tenuissimus.
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Affiliation(s)
- Afrah Alothman
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Marine Science Program, Thuwal, 23955-6900, Saudi Arabia
| | - Abdul-Hamid Emwas
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, 23955-6900, Saudi Arabia
| | - Upendra Singh
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Thuwal, 23955-6900, Saudi Arabia
| | - Mariusz Jaremko
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Thuwal, 23955-6900, Saudi Arabia
| | - Susana Agusti
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Marine Science Program, Thuwal, 23955-6900, Saudi Arabia
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Chen J, Li Y, Gu X, Wu T, Du H, Bai C, Yang J, Hu K. Identifying Anti-NSCLC Bioactive Compounds in Scutellaria via 2D NMR-Based Metabolomic Analysis of Pharmacologically Classified Crude Extracts. Chem Biodivers 2024; 21:e202400258. [PMID: 38581076 DOI: 10.1002/cbdv.202400258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/03/2024] [Accepted: 04/05/2024] [Indexed: 04/07/2024]
Abstract
We presented a strategy utilizing 2D NMR-based metabolomic analysis of crude extracts, categorized by different pharmacological activities, to rapidly identify the primary bioactive components of TCM. It was applied to identify the potential bioactive components from Scutellaria crude extracts that exhibit anti-non-small cell lung cancer (anti-NSCLC) activity. Four Scutellaria species were chosen as the study subjects because of their close phylogenetic relationship, but their crude extracts exhibit significantly different anti-NSCLC activity. Cell proliferation assay was used to assess the anti-NSCLC activity of four species of Scutellaria. 1H-13C HSQC spectra were acquired for the chemical profiling of these crude extracts. Based on the pharmacological classification (PCA, OPLS-DA and univariate hypothesis test) were performed to identify the bioactive constituents in Scutellaria associated with the anti-NSCLC activity. As a result, three compounds, baicalein, wogonin and scutellarin were identified as bioactive compounds. The anti-NSCLC activity of the three potential active compounds were further confirmed via cell proliferation assay. The mechanism of the anti-NSCLC activity by these active constituents was further explored via flow cytometry and western blot analyses. This study demonstrated 2D NMR-based metabolomic analysis of pharmacologically classified crude extracts to be an efficient approach to the identification of active components of herbal medicine.
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Affiliation(s)
- Jialuo Chen
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Yanping Li
- School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, No.1166 Liutai Avenue, Chengdu, Sichuan, 611137, China Tel
| | - Xiu Gu
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, Sichuan, 611137, China Tel
| | - Tianren Wu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Huan Du
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Caihong Bai
- School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, No.1166 Liutai Avenue, Chengdu, Sichuan, 611137, China Tel
| | - Jiahui Yang
- School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, No.1166 Liutai Avenue, Chengdu, Sichuan, 611137, China Tel
| | - Kaifeng Hu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, Sichuan, 611137, China Tel
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Hanninen A. Vibrational imaging of metabolites for improved microbial cell strains. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S22711. [PMID: 38952688 PMCID: PMC11216725 DOI: 10.1117/1.jbo.29.s2.s22711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 07/03/2024]
Abstract
Significance Biomanufacturing utilizes modified microbial systems to sustainably produce commercially important biomolecules for use in agricultural, energy, food, material, and pharmaceutical industries. However, technological challenges related to non-destructive and high-throughput metabolite screening need to be addressed to fully unlock the potential of synthetic biology and sustainable biomanufacturing. Aim This perspective outlines current analytical screening tools used in industrial cell strain development programs and introduces label-free vibrational spectro-microscopy as an alternative contrast mechanism. Approach We provide an overview of the analytical instrumentation currently used in the "test" portion of the design, build, test, and learn cycle of synthetic biology. We then highlight recent progress in Raman scattering and infrared absorption imaging techniques, which have enabled improved molecular specificity and sensitivity. Results Recent developments in high-resolution chemical imaging methods allow for greater throughput without compromising the image contrast. We provide a roadmap of future work needed to support integration with microfluidics for rapid screening at the single-cell level. Conclusions Quantifying the net expression of metabolites allows for the identification of cells with metabolic pathways that result in increased biomolecule production, which is essential for improving the yield and reducing the cost of industrial biomanufacturing. Technological advancements in vibrational microscopy instrumentation will greatly benefit biofoundries as a complementary approach for non-destructive cell screening.
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Procopio N, Bonicelli A. From flesh to bones: Multi-omics approaches in forensic science. Proteomics 2024; 24:e2200335. [PMID: 38683823 DOI: 10.1002/pmic.202200335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 03/12/2024] [Accepted: 03/26/2024] [Indexed: 05/02/2024]
Abstract
Recent advancements in omics techniques have revolutionised the study of biological systems, enabling the generation of high-throughput biomolecular data. These innovations have found diverse applications, ranging from personalised medicine to forensic sciences. While the investigation of multiple aspects of cells, tissues or entire organisms through the integration of various omics approaches (such as genomics, epigenomics, metagenomics, transcriptomics, proteomics and metabolomics) has already been established in fields like biomedicine and cancer biology, its full potential in forensic sciences remains only partially explored. In this review, we have presented a comprehensive overview of state-of-the-art analytical platforms employed in omics research, with specific emphasis on their application in the forensic field for the identification of the cadaver and the cause of death. Moreover, we have conducted a critical analysis of the computational integration of omics approaches, and highlighted the latest advancements in employing multi-omics techniques for forensic investigations.
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Affiliation(s)
- Noemi Procopio
- Research Centre for Field Archaeology and Experimental Taphonomy, School of Law and Policing, University of Central Lancashire, Preston, UK
| | - Andrea Bonicelli
- Research Centre for Field Archaeology and Experimental Taphonomy, School of Law and Policing, University of Central Lancashire, Preston, UK
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Castaldo G, Marino C, Atteno M, D’Elia M, Pagano I, Grimaldi M, Conte A, Molettieri P, Santoro A, Napolitano E, Puca I, Raimondo M, Parisella C, D’Ursi AM, Rastrelli L. Investigating the Effectiveness of a Carb-Free Oloproteic Diet in Fibromyalgia Treatment. Nutrients 2024; 16:1620. [PMID: 38892552 PMCID: PMC11175073 DOI: 10.3390/nu16111620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/15/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
Fibromyalgia (FM), a chronic disease with a high incidence in women, poses a significant challenge for diagnosis and treatment, especially due to the absence of specific biomarkers and the multifaceted nature of its symptoms, which range from neuromuscular pain to mood disorders and intestinal dysbiosis. While diagnosis currently relies on rheumatological clinical evaluations and treatment options mainly focus on symptom management, FM seems to have possible links with systemic metabolic dysfunctions with a common inflammatory root. In this context, a new therapeutic avenue emerges: could a therapeutic nutritional approach be the missing piece of the puzzle? Indeed, diet therapies employed particularly for metabolic syndromes proved recently to be efficacious for correcting systemic dysmetabolism and a high number of chronic inflammation conditions. In particular, the very-low-calorie ketogenic diet (VLCKD) demonstrated therapeutic benefits in many disorders. In the present study, we aimed to investigate the specific effects of two dietary interventions, namely the oloproteic VLCKD and the low-glycemic insulinemic (LOGI) diet, on two groups of female FM patients (FM1 and FM2) over a 45-day period. Utilizing clinical and laboratory tests, as well as non-invasive NMR metabolomic analysis of serum, urine, and saliva samples, we sought to uncover how these dietary regimens impact the metabolic dysfunctions associated with FM.
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Affiliation(s)
- Giuseppe Castaldo
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Carmen Marino
- PhD Program in Drug Discovery and Development, Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (C.M.); (E.N.)
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (M.G.); (A.S.)
| | - Mariangela Atteno
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Maria D’Elia
- National Biodiversity Future Center (NBFC), 90133 Palermo, Italy;
- Department of Pharmacy, Scuola di Specializzazione in Farmacia Ospedaliera, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy
| | - Imma Pagano
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Manuela Grimaldi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (M.G.); (A.S.)
| | - Aurelio Conte
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Paola Molettieri
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Angelo Santoro
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (M.G.); (A.S.)
- Department of Pharmacy, Scuola di Specializzazione in Farmacia Ospedaliera, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy
| | - Enza Napolitano
- PhD Program in Drug Discovery and Development, Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (C.M.); (E.N.)
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (M.G.); (A.S.)
| | - Ilaria Puca
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Mariangela Raimondo
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Chiara Parisella
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
| | - Anna Maria D’Ursi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy; (M.G.); (A.S.)
| | - Luca Rastrelli
- NutriKeto_LAB Unisa—“San Giuseppe Moscati” National Hospital (AORN), Contrada Amoretta, 83100 Avellino, Italy (M.A.); (I.P.); (A.C.); (P.M.); (I.P.); (M.R.); (C.P.)
- National Biodiversity Future Center (NBFC), 90133 Palermo, Italy;
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Tlhapi D, Ramaite I, Anokwuru C, van Ree T. Molecular Networking-Based Metabolome, In Vitro Antidiabetic and Anti-Inflammatory Effects of Breonadia salicina (Vahl) Hepper & J.R.I. Wood. Metabolites 2024; 14:291. [PMID: 38921427 PMCID: PMC11206052 DOI: 10.3390/metabo14060291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 05/15/2024] [Accepted: 05/20/2024] [Indexed: 06/27/2024] Open
Abstract
Breonadia salicina (Vahl) Hepper & J.R.I. Wood is widely distributed throughout Africa. It is used ethnobotanically to treat various diseases. However, the metabolic profile of the Breonadia species is not well characterized and the metabolites that are responsible for the bioactivity of this plant remain unknown. Therefore, there is a need to determine the phytochemical and bioactivity profile to identify metabolites that contribute to the antidiabetic, anti-inflammatory and antiproliferation activity, including the genotoxicity and cytotoxic effects, of Breonadia salicina. The study is aimed at exploring the metabolomic profile antidiabetic, anti-inflammatory and antiproliferation activity, as well as the genotoxicity and cytotoxicity effects, of constituents of B. salicina. The compounds in the B. salicina extract were analyzed by ultra-performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS), and the resultant data were further analyzed using a molecular networking approach. The crude stem bark and root extracts showed the highest antidiabetic activity against α-amylase at the lowest test concentration of 62.5 µg/mL, with 74.53 ± 0.74% and 79.1 ± 1.5% inhibition, respectively. However, the crude stem bark and root extracts showed the highest antidiabetic activity against α-glucosidase at the lowest test concentration of 31.3 µg/mL, with 98.20 ± 0.15% and 97.98 ± 0.22% inhibition, respectively. The crude methanol leaf extract showed a decrease in the nitrite concentration at the highest concentration of 200 µg/mL, with cell viability of 90.34 ± 2.21%, thus showing anti-inflammatory activity. No samples showed significant cytotoxic effects at a concentration of 10 µg/mL against HeLa cells. Furthermore, a molecular network of Breonadia species using UPLC-QTOF-MS with negative mode electrospray ionization showed the presence of organic oxygen compounds, lipids, benzenoids, phenylpropanoids and polyketides. These compound classes were differentially distributed in the three different plant parts, indicating the chemical differences between the stem bark, root and leaf extracts of B. salicina. Therefore, the identified compounds may contribute to the antidiabetic and anti-inflammatory activity of Breonadia salicina. The stem bark, root and leaf extracts of B. salicina yielded thirteen compounds identified for the first time in this plant, offering a promising avenue for the discovery of new lead drugs for the treatment of diabetes and inflammation. The use of molecular networking produced a detailed phytochemical overview of this Breonadia species. The results reported in this study show the importance of searching for bioactive compounds from Breonadia salicina and provide new insights into the phytochemical characterization and bioactivity of different plant parts of Breonadia salicina.
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Affiliation(s)
- Dorcas Tlhapi
- Department of Chemistry, Faculty of Science, Engineering and Agriculture, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa; (I.R.); (T.v.R.)
| | - Isaiah Ramaite
- Department of Chemistry, Faculty of Science, Engineering and Agriculture, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa; (I.R.); (T.v.R.)
| | - Chinedu Anokwuru
- Department of Basic Sciences, School of Science and Technology, Babcock University, Ilishan Remo 121103, Nigeria;
| | - Teunis van Ree
- Department of Chemistry, Faculty of Science, Engineering and Agriculture, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa; (I.R.); (T.v.R.)
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Perin N, Lončar B, Kadić M, Kralj M, Starčević K, Carvalho RA, Jarak I, Hranjec M. Design, Synthesis, Antitumor Activity and NMR-Based Metabolomics of Novel Amino Substituted Tetracyclic Imidazo[4,5-b]Pyridine Derivatives. ChemMedChem 2024:e202300633. [PMID: 38757872 DOI: 10.1002/cmdc.202300633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 05/18/2024]
Abstract
Newly prepared tetracyclic imidazo[4,5-b]pyridine derivatives were synthesized to study their antiproliferative activity against human cancer cells. Additionally, the structure-activity was studied to confirm the impact of the N atom position in pyridine nuclei as well as the chosen amino side chains on antiproliferative activity. Targeted amino substituted regioisomers were prepared by using uncatalyzed amination from corresponding chloro substituted precursors. The most active compounds 6 a, 8 and 10 showed improved activity in comparison to standard drug etoposide with IC50 values in a nanomolar range of concentration (0.2-0.9 μM). NMR-based metabolomics is a powerful instrument to elucidate activity mechanism of new chemotherapeutics. Multivariate and univariate statistical analysis of metabolic profiles of non-small cell lung cancer cells before and after exposure to 6 a revealed significant changes in metabolism of essential amino acids, glycerophospholipids and oxidative defense. Insight into the changes of metabolic pathways that are heavily involved in cell proliferation and survival provide valuable guidelines for more detailed analysis of activity metabolism and possible targets of this class of bioactive compounds.
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Affiliation(s)
- Nataša Perin
- Department of Organic Chemistry, Faculty of Chemical Engineering and Technology, University of Zagreb, Marulićev trg 19, HR-10000, Zagreb, Croatia
| | | | - Matej Kadić
- Department of Organic Chemistry, Faculty of Chemical Engineering and Technology, University of Zagreb, Marulićev trg 19, HR-10000, Zagreb, Croatia
| | - Marijeta Kralj
- Division of Molecular Medicine, Ruđer Bošković Institute, Bijenička cesta 54, HR-10000, Zagreb, Croatia
| | - Kristina Starčević
- Department of Chemistry and Biochemistry, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, HR-10000, Zagreb, Croatia
| | - Rui A Carvalho
- Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135, Porto, Portugal
| | - Ivana Jarak
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Coimbra, Azinhaga de Santa Comba, Pólo III - Pólo das Ciências da Saúde, 3000-548, Coimbra, Portugal
| | - Marijana Hranjec
- Department of Organic Chemistry, Faculty of Chemical Engineering and Technology, University of Zagreb, Marulićev trg 19, HR-10000, Zagreb, Croatia
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Zolkeflee NKZ, Wong PL, Maulidiani M, Ramli NS, Azlan A, Mediani A, Tham CL, Abas F. Revealing metabolic and biochemical variations via 1H NMR metabolomics in streptozotocin-nicotinamide-induced diabetic rats treated with metformin. Biochem Biophys Res Commun 2024; 708:149778. [PMID: 38507867 DOI: 10.1016/j.bbrc.2024.149778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/03/2024] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
The increasing prevalence of lean diabetes has prompted the generation of animal models that mimic metabolic disease in humans. This study aimed to determine the optimum streptozotocin-nicotinamide (STZ-NA) dosage ratio to elicit lean diabetic features in a rat model. It also used a proton nuclear magnetic resonance (1H NMR) urinary metabolomics approach to identify the metabolic effect of metformin treatment on this novel rat model. Three different STZ-NA dosage regimens (by body weight: Group A: 110 mg/kg NA and 45 mg/kg STZ; Group B: 180 mg/kg NA and 65 mg/kg STZ and Group C: 120 mg/kg NA and 60 mg/kg STZ) were administered to Sprague-Dawley rats along with oral metformin. Group A diabetic rats (A-DC) showed favorable serum biochemical analyses and a more positive response toward oral metformin administration relative to the other STZ-NA dosage ratio groups. Orthogonal partial least squares-discriminant analysis (OPLS-DA) revealed that glucose, citrate, pyruvate, hippurate, and methylnicotinamide differentiating the OPLS-DA of A-MTF rats (Group A diabetic rats treated with metformin) and A-DC model rats. Subsequent metabolic pathway analyses revealed that metformin treatment was associated with improvement in dysfunctions caused by STZ-NA induction, including carbohydrate metabolism, cofactor metabolism, and vitamin and amino acid metabolism. In conclusion, our results identify the best STZ-NA dosage ratio for a rat model to exhibit lean type 2 diabetic features with optimum sensitivity to metformin treatment. The data presented here could be informative to improve our understanding of non-obese diabetes in humans through the identification of possible activated metabolic pathways in the STZ-NA-induced diabetic rats model.
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Affiliation(s)
- Nur Khaleeda Zulaikha Zolkeflee
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Pei Lou Wong
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - M Maulidiani
- School of Fundamental Science, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
| | - Nurul Shazini Ramli
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Azrina Azlan
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Ahmed Mediani
- Metabolomics Research Laboratory, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | - Chau Ling Tham
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Faridah Abas
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia; Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
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Nováková S, Baranovičová E, Hatoková Z, Beke G, Pálešová J, Záhumenská R, Baďurová B, Janíčková M, Strnádel J, Halašová E, Škovierová H. Comparison of Various Extraction Approaches for Optimized Preparation of Intracellular Metabolites from Human Mesenchymal Stem Cells and Fibroblasts for NMR-Based Study. Metabolites 2024; 14:268. [PMID: 38786745 PMCID: PMC11122815 DOI: 10.3390/metabo14050268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024] Open
Abstract
Metabolomics has proven to be a sensitive tool for monitoring biochemical processes in cell culture. It enables multi-analysis, clarifying the correlation between numerous metabolic pathways. Together with other analysis, it thus provides a global view of a cell's physiological state. A comprehensive analysis of molecular changes is also required in the case of mesenchymal stem cells (MSCs), which currently represent an essential portion of cells used in regenerative medicine. Reproducibility and correct measurement are closely connected to careful metabolite extraction, and sample preparation is always a critical point. Our study aimed to compare the efficiencies of four harvesting and six extraction methods. Several organic reagents (methanol, ethanol, acetonitrile, methanol-chloroform, MTBE) and harvesting approaches (trypsinization vs. scraping) were tested. We used untargeted nuclear magnetic resonance spectroscopy (NMR) to determine the most efficient method for the extraction of metabolites from human adherent cells, specifically human dermal fibroblasts adult (HDFa) and dental pulp stem cells (DPSCs). A comprehensive dataset of 29 identified and quantified metabolites were determined to possess statistically significant differences in the abundances of several metabolites when the cells were detached mechanically to organic solvent compared to when applying enzymes mainly in the classes of amino acids and peptides for both types of cells. Direct scraping to organic solvent is a method that yields higher abundances of determined metabolites. Extraction with the use of different polar reagents, 50% and 80% methanol, or acetonitrile, mostly showed the same quality. For both HDFa and DPSC cells, the MTBE method, methanol-chloroform, and 80% ethanol extractions showed higher extraction efficiency for the most identified and quantified metabolites Thus, preparation procedures provided a cell sample processing protocol that focuses on maximizing extraction yield. Our approach may be useful for large-scale comparative metabolomic studies of human mesenchymal stem cell samples.
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Affiliation(s)
- Slavomíra Nováková
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Eva Baranovičová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Zuzana Hatoková
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Gábor Beke
- Institute of Molecular Biology, Slovak Academy of Sciences, Dúbravská Cesta 21, 845 51 Bratislava, Slovakia;
| | - Janka Pálešová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Romana Záhumenská
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Bibiána Baďurová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Mária Janíčková
- Department of Stomatology and Maxillofacial Surgery, University Hospital in Martin and JFM CU, Kollárova 2, 036 01 Martin, Slovakia;
| | - Ján Strnádel
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Erika Halašová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
| | - Henrieta Škovierová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava (JFM CU), Malá Hora 4C, 036 01 Martin, Slovakia; (S.N.); (Z.H.); (J.P.); (R.Z.); (J.S.); (E.H.); (H.Š.)
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Mascellani Bergo A, Leiss K, Havlik J. Twenty Years of 1H NMR Plant Metabolomics: A Way Forward toward Assessment of Plant Metabolites for Constitutive and Inducible Defenses to Biotic Stress. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:8332-8346. [PMID: 38501393 DOI: 10.1021/acs.jafc.3c09362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Metabolomics has become an important tool in elucidating the complex relationship between a plant genotype and phenotype. For over 20 years, nuclear magnetic resonance (NMR) spectroscopy has been known for its robustness, quantitative capabilities, simplicity, and cost-efficiency. 1H NMR is the method of choice for analyzing a broad range of relatively abundant metabolites, which can be used for both capturing the plant chemical profile at one point in time and understanding the pathways that underpin plant defense. This systematic Review explores how 1H NMR-based plant metabolomics has contributed to understanding the role of various compounds in plant responses to biotic stress, focusing on both primary and secondary metabolites. It clarifies the challenges and advantages of using 1H NMR in plant metabolomics, interprets common trends observed, and suggests guidelines for method development and establishing standard procedures.
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Affiliation(s)
- Anna Mascellani Bergo
- Department of Food Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500 Prague, Czechia
| | - Kirsten Leiss
- Business Unit Greenhouse Horticulture, Wageningen University & Research, 2665MV Bleiswijk, Netherlands
| | - Jaroslav Havlik
- Department of Food Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500 Prague, Czechia
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Zniber M, Lamminen T, Taimen P, Boström PJ, Huynh TP. 1H-NMR-based urine metabolomics of prostate cancer and benign prostatic hyperplasia. Heliyon 2024; 10:e28949. [PMID: 38617934 PMCID: PMC11015411 DOI: 10.1016/j.heliyon.2024.e28949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/16/2024] Open
Abstract
Background Prostate cancer (PCa) and benign prostatic hyperplasia (BPH) are prevalent conditions affecting a significant portion of the male population, particularly with advancing age. Traditional diagnostic methods, such as digital rectal examination (DRE) and prostate-specific antigen (PSA) tests, have limitations in specificity and sensitivity, leading to potential overdiagnosis and unnecessary biopsies. Significance This study explores the effectiveness of 1H NMR urine metabolomics in distinguishing PCa from BPH and in differentiating various PCa grades, presenting a non-invasive diagnostic alternative with the potential to enhance early detection and patient-specific treatment strategies. Results The study demonstrated the capability of 1H NMR urine metabolomics in detecting distinct metabolic profiles between PCa and BPH, as well as among different Gleason grade groups. Notably, this method surpassed the PSA test in distinguishing PCa from BPH. Untargeted metabolomics analysis also revealed several metabolites with varying relative concentrations between PCa and BPH cases, suggesting potential biomarkers for these conditions.
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Affiliation(s)
- Mohammed Zniber
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, Turku, Finland
| | - Tarja Lamminen
- Department of Urology, University of Turku and Turku University Hospital, Turku, Finland
| | - Pekka Taimen
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Department of Pathology, Turku University Hospital, Turku, Finland
| | - Peter J. Boström
- Department of Urology, University of Turku and Turku University Hospital, Turku, Finland
| | - Tan-Phat Huynh
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, Turku, Finland
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Ge Y, Zhou C, Ma Y, Wang Z, Wang S, Wang W, Wu B. Advancing Natural Product Discovery: A Structure-Oriented Fractions Screening Platform for Compound Annotation and Isolation. Anal Chem 2024; 96:5399-5406. [PMID: 38523322 DOI: 10.1021/acs.analchem.3c05057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
Natural product discovery is hindered by the lack of tools that integrate untargeted nuclear magnetic resonance and mass spectrometry data on a library scale. This article describes the first application of the innovative NMR/MS-based machine learning tool, the "Structure-Oriented Fractions Screening Platform (SFSP)", enabling functional-group-guided fractionation and accelerating the discovery and characterization of undescribed natural products. The concept was applied to the extract of a marine fungus known to be a prolific producer of diverse natural products. With the assistance of SFSP, we isolated 24 flavipidin derivatives and five phenalenone analogues from Aspergillus sp. GE2-6, revealing 27 undescribed compounds. Compounds 7-22 were proposed as isomeric derivatives featuring a 5/6-ring fusion, formed by the dimerization of flavipidin E (5). Compounds 23 and 24 were envisaged as isomeric derivatives with a 6/5/6-ring fusion, generated through the degradation of two flavipidin E molecules. Furthermore, flavipidin A (1) and asperphenalenone E (28) exhibited potent anti-influenza (PR8) activities, with IC50 values of 21.9 ± 0.2 and 12.9 ± 0.1 μM, respectively. Meanwhile, asperphenalenone (26) and asperphenalenone P (27) treatments exhibited significant inhibition of HIV pseudovirus infection in 293FT cells, boasting IC50 values of 6.1 ± 0.9 and 4.6 ± 1.1 μM, respectively. Overall, SFSP streamlines natural product isolation through NMR and MS data integration, as showcased by the discovery of numerous undescribed flavipidins and phenalenones based on NMR olefinic signals and low-field hydroxy signals.
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Affiliation(s)
- Yichao Ge
- Ocean College, Zhejiang University, Zhoushan 321000, China
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Chengzeng Zhou
- Ocean College, Zhejiang University, Zhoushan 321000, China
| | - Yihan Ma
- Ocean College, Zhejiang University, Zhoushan 321000, China
| | - Zihan Wang
- School of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China
| | - Shufan Wang
- School of Mathematical Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Wei Wang
- School of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China
| | - Bin Wu
- Ocean College, Zhejiang University, Zhoushan 321000, China
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Razavi SA, Khorsand B, Salehipour P, Hedayati M. Metabolite signature of human malignant thyroid tissue: A systematic review and meta-analysis. Cancer Med 2024; 13:e7184. [PMID: 38646957 PMCID: PMC11033922 DOI: 10.1002/cam4.7184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 02/13/2024] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Thyroid cancer (TC) is the predominant malignancy within the endocrine system. However, the standard method for TC diagnosis lacks the capability to identify the pathological condition of all thyroid lesions. The metabolomics approach has the potential to manage this problem by identifying differential metabolites. AIMS This study conducted a systematic review and meta-analysis of the NMR-based metabolomics studies in order to identify significant altered metabolites associated with TC. METHODS A systematic search of published literature in any language in three databases including Embase, PubMed, and Scopus was conducted. Out of 353 primary articles, 12 studies met the criteria for inclusion in the systematic review. Among these, five reports belonging to three articles were eligible for meta-analysis. The correlation coefficient of the orthogonal partial least squares discriminant analysis, a popular model in the multivariate statistical analysis of metabolomic data, was chosen for meta-analysis. The altered metabolites were chosen based on the fact that they had been found in at least three studies. RESULTS In total, 49 compounds were identified, 40 of which were metabolites. The increased metabolites in thyroid lesions compared normal samples included lactate, taurine, alanine, glutamic acid, glutamine, leucine, lysine, phenylalanine, serine, tyrosine, valine, choline, glycine, and isoleucine. Lipids were the decreased compounds in thyroid lesions. Lactate and alanine were increased in malignant versus benign thyroid lesions, while, myo-inositol, scyllo-inositol, citrate, choline, and phosphocholine were found to be decreased. The meta-analysis yielded significant results for three metabolites of lactate, alanine, and citrate in malignant versus benign specimens. DISCUSSION In this study, we provided a concise summary of 12 included metabolomic studies, making it easier for future researchers to compare their results with the prior findings. CONCLUSION It appears that the field of TC metabolomics will experience notable advancement, leading to the discovery of trustworthy diagnostic and prognostic biomarkers.
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Affiliation(s)
- S. Adeleh Razavi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Babak Khorsand
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Computer Engineering, Faculty of EngineeringFerdowsi University of MashhadMashhadIran
| | - Pouya Salehipour
- Department of Medical Genetics, School of MedicineTehran University of Medical SciencesTehranIran
| | - Mehdi Hedayati
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
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Salem MB, El-Lakkany NM, Seif el-Din SH, Hammam OA, Samir S. Diosmin alleviates ulcerative colitis in mice by increasing Akkermansia muciniphila abundance, improving intestinal barrier function, and modulating the NF-κB and Nrf2 pathways. Heliyon 2024; 10:e27527. [PMID: 38500992 PMCID: PMC10945203 DOI: 10.1016/j.heliyon.2024.e27527] [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: 11/01/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/20/2024] Open
Abstract
Ulcerative colitis is a common type of inflammatory bowel disease that affects millions of individuals around the world. Traditional UC treatment has focused on suppressing immune responses rather than treating the underlying causes of UC, which include oxidative stress, inflammation, and microbiota dysbiosis. Diosmin (DIO), a naturally occurring flavonoid, possesses antioxidant and anti-inflammatory properties. This study aimed to assess the efficacy of DIO in treating dextran-sulfate sodium (DSS)-induced colitis, and to investigate some of its underlying mechanisms, with an emphasis on Akkermansia muciniphila abundance, inflammatory markers, and intestinal barrier function. C57BL/6 mice were given 4% (w/v) DSS to induce colitis. DSS-induced mice were administered DIO (100 and 200 mg/kg) or sulfasalazine orally for 7 days. Every day, the disease activity index (DAI) was determined by recording body weight, diarrhea, and bloody stool. Changes in fecal A. muciniphila abundance, colonic MUC1 and MUC2 expression, as well as oxidative stress and inflammatory markers were all assessed. Histopathological changes, colonic PIK3PR3 and ZO-1 levels, and immunohistochemical examinations of occludin and claudin-1, were investigated. DIO administration resulted in a dose-dependent decrease in DAI, as well as increase in A. muciniphila abundance and MUC2 expression while decreasing MUC1 expression. DIO also dramatically reduced colonic oxidative stress and inflammation by regulating the NF-κB and Nrf2 cascades, restored intestinal barrier integrity by inhibiting PIK3R3 and inducing ZO-1, and improved occludin/claudin-1 gene expression and immunostaining. This study provides the first evidence that DIO preserves intestinal barrier integrity and increases A. muciniphila abundance in DSS-induced colitis. However, more research is required to explore the impact of DIO on the overall composition and diversity of the gut microbiota. Likewise, it will be important to fully understand the molecular mechanisms by which A. muciniphila maintains intestinal barrier function and its potential use as an adjuvant in the treatment of UC.
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Affiliation(s)
- Maha Badr Salem
- Department of Pharmacology, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba, Giza, 12411, Egypt
| | - Naglaa Mohamed El-Lakkany
- Department of Pharmacology, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba, Giza, 12411, Egypt
| | - Sayed Hassan Seif el-Din
- Department of Pharmacology, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba, Giza, 12411, Egypt
| | - Olfat Ali Hammam
- Department of Pathology, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba, Giza, 12411, Egypt
| | - Safia Samir
- Department of Biochemistry and Molecular Biology, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba, Giza, 12411, Egypt
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Jiang T, Zhou Q, Yu KK, Chen SY, Li K. Identification and quantification of N6-methyladenosine by chemical derivatization coupled with 19F NMR spectroscopy. Org Biomol Chem 2024; 22:2566-2573. [PMID: 38465392 DOI: 10.1039/d4ob00169a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
N 6-Methyladenosine (6mA) is a well-known prokaryotic DNA modification that has been shown to play epigenetic roles in eukaryotic DNA. Accurate detection and quantification of 6mA are prerequisites for molecular understanding of the impact of 6mA modification on DNA. However, the existing methods have several problems, such as high false-positive rate, time-consuming and complex operating procedures. Chemical sensors for the selective detection of 6mA modification are rarely reported in the literature. Fluorinated phenylboronic acid combined with 19F NMR analysis is an effective method for determining DNA or RNA modification. In this study, we presented a simple and fast chemical method for labelling the 6th imino group of 6mA using a boric-acid-derived probe. Besides, the trifluoromethyl group of trifluoromethyl phenylboronic acid (2a) could detect 6mA modification through 19F NMR. Combined with this sensor system, 6mA modification could be detected well and quickly in 6 types of deoxynucleoside mixtures and DNA samples. Taken together, the method developed in the current study has potential for specific detection of 6mA in biological samples.
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Affiliation(s)
- Ting Jiang
- Key Laboratory of Green Chemistry and Technology (Ministry of Education), College of Chemistry, Sichuan University, Chengdu 610064, P. R. China.
| | - Qian Zhou
- Department of Chemistry, Xihua University, Chengdu 610039, P. R. China
| | - Kang-Kang Yu
- Key Laboratory of Green Chemistry and Technology (Ministry of Education), College of Chemistry, Sichuan University, Chengdu 610064, P. R. China.
| | - Shan-Yong Chen
- Key Laboratory of Green Chemistry and Technology (Ministry of Education), College of Chemistry, Sichuan University, Chengdu 610064, P. R. China.
| | - Kun Li
- Key Laboratory of Green Chemistry and Technology (Ministry of Education), College of Chemistry, Sichuan University, Chengdu 610064, P. R. China.
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Wang X, Guo AQ, Wang R, Gao W, Yang H. AnnoSM: An Automated Annotation Tool for Determining the Substituent Modes on the Parent Skeleton Based on a Characteristic MS/MS Fragment Ion Library. Anal Chem 2024; 96:3817-3828. [PMID: 38386850 DOI: 10.1021/acs.analchem.3c04946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Mass spectrometry (MS) is a powerful technology for the structural elucidation of known or unknown small molecules. However, the accuracy of MS-based structure annotation is still limited due to the presence of numerous isomers in complex matrices. There are still challenges in automatically interpreting the fine structure of molecules, such as the types and positions of substituents (substituent modes, SMs) in the structure. In this study, we employed flavones, flavonols, and isoflavones as examples to develop an automated annotation method for identifying the SMs on the parent molecular skeleton based on a characteristic MS/MS fragment ion library. Importantly, user-friendly software AnnoSM was built for the convenience of researchers with limited computational backgrounds. It achieved 76.87% top-1 accuracy on the 148 authentic standards. Among them, 22 sets of flavonoid isomers were successfully differentiated. Moreover, the developed method was successfully applied to complex matrices. One such example is the extract of Ginkgo biloba L. (EGB), in which 331 possible flavonoids with SM candidates were annotated. Among them, 23 flavonoids were verified by authentic standards. The correct SMs of 13 flavonoids were ranked first on the candidate list. In the future, this software can also be extrapolated to other classes of compounds.
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Affiliation(s)
- Xing Wang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 639 Longmian Dadao, Nanjing 211198, China
| | - An-Qi Guo
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 639 Longmian Dadao, Nanjing 211198, China
| | - Rui Wang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 639 Longmian Dadao, Nanjing 211198, China
| | - Wen Gao
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 639 Longmian Dadao, Nanjing 211198, China
| | - Hua Yang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 639 Longmian Dadao, Nanjing 211198, China
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Gentile A, Fulgione A, Auzino B, Iovane V, Gallo D, Garramone R, Iaccarino N, Randazzo A, Iovane G, Cuomo P, Capparelli R, Iannelli D. In vivo biological validation of in silico analysis: A novel approach for predicting the effects of TLR4 exon 3 polymorphisms on brucellosis. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 118:105552. [PMID: 38218390 DOI: 10.1016/j.meegid.2024.105552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 01/15/2024]
Abstract
The role of the Toll-like receptor 4 (TLR4) is of recognising intracellular and extracellular pathogens and of activating the immune response. This process can be compromised by single nucleotide polymorphisms (SNPs) which might affect the activity of several TLRs. The aim of this study is of ascertaining whether SNPs in the TLR4 of Bubalus bubalis infected by Brucella abortus, compromise the protein functionality. For this purpose, a computational analysis was performed. Next, computational predictions were confirmed by performing genotyping analysis. Finally, NMR-based metabolomics analysis was performed to identify potential biomarkers for brucellosis. The results indicate two SNPs (c. 672 A > C and c. 902 G > C) as risk factor for brucellosis in Bubalus bubalis, and three metabolites (lactate, 3-hydroxybutyrate and acetate) as biological markers for predicting the risk of developing the disease. These metabolites, together with TLR4 structural modifications in the MD2 interaction domain, are a clear signature of the immune system alteration during diverse Gram-negative bacterial infections. This suggests the possibility to extend this study to other pathogens, including Mycobacterium tuberculosis. In conclusion, this study combines multidisciplinary approaches to evaluate the biological and structural effects of SNPs on protein function.
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Affiliation(s)
- Antonio Gentile
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Andrea Fulgione
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Barbara Auzino
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Valentina Iovane
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Daniela Gallo
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Raffaele Garramone
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Nunzia Iaccarino
- Department of Pharmacy, University of Naples Federico II, Naples 80131, Italy
| | - Antonio Randazzo
- Department of Pharmacy, University of Naples Federico II, Naples 80131, Italy
| | - Giuseppe Iovane
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples 80137, Italy
| | - Paola Cuomo
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
| | - Rosanna Capparelli
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy.
| | - Domenico Iannelli
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples 80055, Italy
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Flores AC, Zhang X, Kris-Etherton PM, Sliwinski MJ, Shearer GC, Gao X, Na M. Metabolomics and Risk of Dementia: A Systematic Review of Prospective Studies. J Nutr 2024; 154:826-845. [PMID: 38219861 DOI: 10.1016/j.tjnut.2024.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND The projected increase in the prevalence of dementia has sparked interest in understanding the pathophysiology and underlying causal factors in its development and progression. Identifying novel biomarkers in the preclinical or prodromal phase of dementia may be important for predicting early disease risk. Applying metabolomic techniques to prediagnostic samples in prospective studies provides the opportunity to identify potential disease biomarkers. OBJECTIVE The objective of this systematic review was to summarize the evidence on the associations between metabolite markers and risk of dementia and related dementia subtypes in human studies with a prospective design. DESIGN We searched PubMed, PsycINFO, and Web of Science databases from inception through December 8, 2023. Thirteen studies (mean/median follow-up years: 2.1-21.0 y) were included in the review. RESULTS Several metabolites detected in biological samples, including amino acids, fatty acids, acylcarnitines, lipid and lipoprotein variations, hormones, and other related metabolites, were associated with risk of developing dementia. Our systematic review summarized the adjusted associations between metabolites and dementia risk; however, our findings should be interpreted with caution because of the heterogeneity across the included studies and potential sources of bias. Further studies are warranted with well-designed prospective cohort studies that have defined study populations, longer follow-up durations, the inclusion of additional diverse biological samples, standardization of techniques in metabolomics and ascertainment methods for diagnosing dementia, and inclusion of other related dementia subtypes. CONCLUSIONS This study contributes to the limited systematic reviews on metabolomics and dementia by summarizing the prospective associations between metabolites in prediagnostic biological samples with dementia risk. Our review discovered additional metabolite markers associated with the onset of developing dementia and may help aid in the understanding of dementia etiology. The protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (https://www.crd.york.ac.uk/prospero/; registration ID: CRD42022357521).
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Affiliation(s)
- Ashley C Flores
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Xinyuan Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Penny M Kris-Etherton
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Martin J Sliwinski
- Center for Healthy Aging, The Pennsylvania State University, University Park, PA, United States; Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States
| | - Greg C Shearer
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Xiang Gao
- School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
| | - Muzi Na
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States.
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Kumari M, Yagnik KN, Gupta V, Singh IK, Gupta R, Verma PK, Singh A. Metabolomics-driven investigation of plant defense response against pest and pathogen attack. PHYSIOLOGIA PLANTARUM 2024; 176:e14270. [PMID: 38566280 DOI: 10.1111/ppl.14270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/04/2024]
Abstract
The advancement of metabolomics has assisted in the identification of various bewildering characteristics of the biological system. Metabolomics is a standard approach, facilitating crucial aspects of system biology with absolute quantification of metabolites using minimum samples, based on liquid/gas chromatography, mass spectrometry and nuclear magnetic resonance. The metabolome profiling has narrowed the wide gaps of missing information and has enhanced the understanding of a wide spectrum of plant-environment interactions by highlighting the complex pathways regulating biochemical reactions and cellular physiology under a particular set of conditions. This high throughput technique also plays a prominent role in combined analyses of plant metabolomics and other omics datasets. Plant metabolomics has opened a wide paradigm of opportunities for developing stress-tolerant plants, ensuring better food quality and quantity. However, despite advantageous methods and databases, the technique has a few limitations, such as ineffective 3D capturing of metabolites, low comprehensiveness, and lack of cell-based sampling. In the future, an expansion of plant-pathogen and plant-pest response towards the metabolite architecture is necessary to understand the intricacies of plant defence against invaders, elucidation of metabolic pathway operational during defence and developing a direct correlation between metabolites and biotic stresses. Our aim is to provide an overview of metabolomics and its utilities for the identification of biomarkers or key metabolites associated with biotic stress, devising improved diagnostic methods to efficiently assess pest and pathogen attack and generating improved crop varieties with the help of combined application of analytical and molecular tools.
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Affiliation(s)
- Megha Kumari
- Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India
- Department of Botany, Hansraj College, University of Delhi, Delhi, India
| | - Kalpesh Nath Yagnik
- Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India
- Department of Botany, Hansraj College, University of Delhi, Delhi, India
| | - Vaishali Gupta
- Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India
| | - Indrakant K Singh
- Molecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, New Delhi, India
| | - Ravi Gupta
- College of General Education, Kookmin University, Seoul, Republic of Korea
| | - Praveen K Verma
- Plant-Immunity Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Archana Singh
- Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India
- Department of Botany, Hansraj College, University of Delhi, Delhi, India
- Delhi School of Climate Change and Sustainability, Institution of Eminence, Maharishi Karnad Bhawan, University of Delhi, India
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Liu D, Nagana Gowda GA, Jiang Z, Alemdjrodo K, Zhang M, Zhang D, Raftery D. Modeling blood metabolite homeostatic levels reduces sample heterogeneity across cohorts. Proc Natl Acad Sci U S A 2024; 121:e2307430121. [PMID: 38359289 PMCID: PMC10895372 DOI: 10.1073/pnas.2307430121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 12/05/2023] [Indexed: 02/17/2024] Open
Abstract
Blood metabolite levels are affected by numerous factors, including preanalytical factors such as collection methods and geographical sites. These perturbations have caused deleterious consequences for many metabolomics studies and represent a major challenge in the metabolomics field. It is important to understand these factors and develop models to reduce their perturbations. However, to date, the lack of suitable mathematical models for blood metabolite levels under homeostasis has hindered progress. In this study, we develop quantitative models of blood metabolite levels in healthy adults based on multisite sample cohorts that mimic the current challenge. Five cohorts of samples obtained across four geographically distinct sites were investigated, focusing on approximately 50 metabolites that were quantified using 1H NMR spectroscopy. More than one-third of the variation in these metabolite profiles is due to cross-cohort variation. A dramatic reduction in the variation of metabolite levels (90%), especially their site-to-site variation (95%), was achieved by modeling each metabolite using demographic and clinical factors and especially other metabolites, as observed in the top principal components. The results also reveal that several metabolites contribute disproportionately to such variation, which could be explained by their association with biological pathways including biosynthesis and degradation. The study demonstrates an intriguing network effect of metabolites that can be utilized to better define homeostatic metabolite levels, which may have implications for improved health monitoring. As an example of the potential utility of the approach, we show that modeling gender-related metabolic differences retains the interesting variance while reducing unwanted (site-related) variance.
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Affiliation(s)
- Danni Liu
- Department of Statistics, Purdue University, West Lafayette, IN47907
| | - G. A. Nagana Gowda
- Department of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, WA98109
| | - Zhongli Jiang
- Department of Statistics, Purdue University, West Lafayette, IN47907
| | - Kangni Alemdjrodo
- Department of Statistics, Purdue University, West Lafayette, IN47907
| | - Min Zhang
- Department of Statistics, Purdue University, West Lafayette, IN47907
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA92697
| | - Dabao Zhang
- Department of Statistics, Purdue University, West Lafayette, IN47907
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA92697
| | - Daniel Raftery
- Department of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, WA98109
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50
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Li W, Zhang X, Wang S, Gao X, Zhang X. Research Progress on Extraction and Detection Technologies of Flavonoid Compounds in Foods. Foods 2024; 13:628. [PMID: 38397605 PMCID: PMC10887530 DOI: 10.3390/foods13040628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024] Open
Abstract
Flavonoid compounds have a variety of biological activities and play an essential role in preventing the occurrence of metabolic diseases. However, many structurally similar flavonoids are present in foods and are usually in low concentrations, which increases the difficulty of their isolation and identification. Therefore, developing and optimizing effective extraction and detection methods for extracting flavonoids from food is essential. In this review, we review the structure, classification, and chemical properties of flavonoids. The research progress on the extraction and detection of flavonoids in foods in recent years is comprehensively summarized, as is the application of mathematical models in optimizing experimental conditions. The results provide a theoretical basis and technical support for detecting and analyzing high-purity flavonoids in foods.
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Affiliation(s)
- Wen Li
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Xiaoping Zhang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Shuanglong Wang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Xiaofei Gao
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Xinglei Zhang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
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