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Manickavasagam G, Saaid M, Lim V. Exploring stingless bee honey from selected regions of Peninsular Malaysia through gas chromatography-mass spectrometry-based untargeted metabolomics. J Food Sci 2024; 89:1058-1072. [PMID: 38221804 DOI: 10.1111/1750-3841.16903] [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: 09/20/2023] [Revised: 12/02/2023] [Accepted: 12/10/2023] [Indexed: 01/16/2024]
Abstract
Volatile organic compounds in honey are known for their considerable impact on the organoleptic properties of honey, such as aroma, flavor, taste, and texture. The type and composition of volatile organic compounds are influenced by entomological, geographical, and botanical origins; thus, these compounds have the potential to be chemical markers. Sixty-two volatile compounds were identified using gas chromatography-mass spectrometry from 30 Heterotrigona itama (H. itama) honey samples from 3 different geographical origins. Hydrocarbons and benzene derivatives were the dominant classes of volatile organic compounds in the samples. Both clustering and discriminant analyses demonstrated a clear separation between samples from distant origins (Kedah and Perak), and the volcano plot supported it. The reliability and predictability of the partial least squares-discriminant analysis model from the discriminant analysis were validated using cross-validation (R2 : 0.93; Q2 : 0.83; accuracy: 0.97) and the permutation test (p < 0.001), and the output depicted that the model is legitimate. In combination with the variable importance of projection (VIP > 1.0) and the Kruskal-Wallis test (p < 0.01), 19 volatile organic compounds (encompassed aldehydes, benzene derivatives, esters, hydrocarbons, and terpenoids) were sorted and named potent chemical markers in classifying honey samples from three geographical origins. In brief, this study illustrated that volatile organic compounds of stingless honey originated from the same bee species, but different geographical origins could be applied as chemical markers.
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Affiliation(s)
| | - Mardiana Saaid
- School of Chemical Sciences, Universiti Sains Malaysia, Gelugor, Pulau Pinang, Malaysia
| | - Vuanghao Lim
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas, Pulau Pinang, Malaysia
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Mohit, Tomar MS, Araniti F, Sahai PK, Singh BP, Shrivastava A, Chand P. Urinary metabolite signatures reflect the altered host metabolism in severe obstructive sleep apnea. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1231:123938. [PMID: 38007916 DOI: 10.1016/j.jchromb.2023.123938] [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: 06/05/2023] [Revised: 09/11/2023] [Accepted: 09/20/2023] [Indexed: 11/28/2023]
Abstract
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder. The onset and progression of OSA are often linked with severe cardiovascular and metabolic comorbidities. At the same time, given the increasing prevalence of OSA, novel methods to screen OSA and its follow-up are needed. Untargeted metabolic profiling of OSA patients and healthy controls was planned to capture a snapshot of urinary metabolites and potential biomarkers using the gas chromatography-mass spectrometry (GC-MS) method.Polysomnography (PSG) confirmed severe OSA patients with AHI index ≥ 30 were considered for urine sample collection. The sample size was constituted of OSA (n = 36) and healthy controls (n = 36). Metabolite extraction and derivatization were performed and metabolomic analysis was performed by using GC-MS.The obtained data set was statistically analyzed using univariate and multivariate analysis. The Orthogonal partial least-squares discriminant analysis (OPLS-DA) was performed to screen differential metabolites between OSA patients and healthy controls.The metabolomic analysis revealed a total of 142 significantly altered metabolites of interest.Biomarker analysis allows for the creation of a list of putative urinary biomarkers including GABA, malic acid, glutamic acid, epichoric acid etc., with an accuracy of 99.8 % to 100 % for OSA screening. Subsequently, pathway analysis revealed that related biochemical pathways like the tricarboxylic acid cycle (TCA), glutamate/glutamine, amino acid and fatty acid metabolism, that are significantly interlinked with these metabolic biomarkers can play a crucial role in the pathogenesis of OSA. This study paves the way to undertake mass screening in a larger population to identify specific and reliable biomarkers.
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Affiliation(s)
- Mohit
- Department of Prosthodontics, Faculty of Dental Sciences, King George's Medical University Lucknow, Uttar Pradesh 226003, India; Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Manendra Singh Tomar
- Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Fabrizio Araniti
- Dipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli studi di Milano, 20133 Milano, Italy
| | - Prabhat Kumar Sahai
- Midland Healthcare and Research Center, Lucknow, Uttar Pradesh 226006, India
| | - Bhanu Pratap Singh
- Midland Healthcare and Research Center, Lucknow, Uttar Pradesh 226006, India
| | - Ashutosh Shrivastava
- Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh 226003, India.
| | - Pooran Chand
- Department of Prosthodontics, Faculty of Dental Sciences, King George's Medical University Lucknow, Uttar Pradesh 226003, India.
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Washimkar KR, Tomar MS, Kulkarni C, Verma S, Shrivastava A, Chattopadhyay N, Mugale MN. Longitudinal assessment of bleomycin-induced pulmonary fibrosis by evaluating TGF-β1/Smad2, Nrf2 signaling and metabolomic analysis in mice. Life Sci 2023; 331:122064. [PMID: 37657527 DOI: 10.1016/j.lfs.2023.122064] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/21/2023] [Accepted: 08/29/2023] [Indexed: 09/03/2023]
Abstract
INTRODUCTION Pulmonary fibrosis (PF) is characterized by an increase in collagen synthesis and deposition of extracellular matrix. Several factors, including transforming growth factor-β1 (TGF-β1), mothers against decapentaplegic homolog family proteins (Smad), and alpha-smooth muscle actin (α-SMA) trigger extracellular matrix (ECM) accumulation, fibroblast to myofibroblasts conversion, and epithelial-to-mesenchymal-transition (EMT) leading to PF. However, the role of cellular defense mechanisms such as the role of nuclear factor erythroid 2-related factor 2 (Nrf2) signaling during the onset and progression of PF is not understood completely. AIM The present study aims to analyze the involvement of TGF-β1/Smad signaling, and Nrf2 in the EMT and metabolic alterations that promote fibrosis in a time-dependent manner using bleomycin (BLM)-induced PF model in C57BL/6 mice. KEY FINDINGS Histopathological studies revealed loss of lung architecture and increased collagen deposition in BLM-exposed mice. BLM upregulated TGF-β1/Smad signaling and α-SMA at all time-points. The gradual increase in the accumulation of α-SMA and collagen implied the progression of PF. BLM exposure raises Nrf2 throughout each specified time-point, which suggests that Nrf2 activation might be responsible for TGF-β1-induced EMT and the development of PF. Further, metabolomic studies linked the development of PF to alterations in metabolic pathways. The pentose phosphate pathway (PPP) was consistently enriched across all the time-points. Additionally, alterations in 22 commonly enriched pathways, associated with fatty acid (FA) and amino acid metabolism were observed in 30- and 60-days. SIGNIFICANCE This study elucidates the association of TGF-β1/Smad and Nrf2 signaling in the EMT and metabolic alterations associated with the etiology and progression of PF.
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Affiliation(s)
- Kaveri R Washimkar
- Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Manendra Singh Tomar
- Centre for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow 226003, India
| | - Chirag Kulkarni
- Division of Endocrinology, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Shobhit Verma
- Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Ashutosh Shrivastava
- Centre for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow 226003, India
| | - Naibedya Chattopadhyay
- Division of Endocrinology, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Madhav Nilakanth Mugale
- Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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Tomar M, Sharma A, Araniti F, Pateriya A, Shrivastava A, Tamrakar AK. Distinct Metabolomic Profiling of Serum Samples from High-Fat-Diet-Induced Insulin-Resistant Mice. ACS Pharmacol Transl Sci 2023; 6:771-782. [PMID: 37200804 PMCID: PMC10186361 DOI: 10.1021/acsptsci.3c00028] [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: 02/11/2023] [Indexed: 05/20/2023]
Abstract
High-fat-diet (HFD)-induced obesity is associated with an elevated risk of insulin resistance (IR), which may precede the onset of type 2 diabetes mellitus and associated metabolic complications. Being a heterogeneous metabolic condition, it is pertinent to understand the metabolites and metabolic pathways that are altered during the development and progression of IR toward T2DM. Serum samples were collected from C57BL/6J mice fed with HFD or chow diet (CD) for 16 weeks. Collected samples were analyzed by gas chromatography-tandem mass spectrometry (GC-MS/MS). Data on the identified raw metabolites were evaluated using a combination of univariate and multivariate statistical methods. Mice fed with HFD had glucose and insulin intolerance associated with impairment of insulin signaling in key metabolic tissues. From the GC-MS/MS analysis of serum samples, a total of 75 common annotated metabolites were identified between HFD- and CD-fed mice. In the t-test, 22 significantly altered metabolites were identified. Out of these, 16 metabolites were up-accumulated, whereas 6 metabolites were down-accumulated. Pathway analysis identified 4 significantly altered metabolic pathways. In particular, primary bile acid biosynthesis and linoleic acid metabolism were upregulated, whereas the TCA cycle and pentose and glucuronate interconversion were downregulated in HFD-fed mice in comparison to CD-fed mice. These results show the distinct metabolic profiles associated with the onset of IR that could provide promising metabolic biomarkers for diagnostic and clinical applications.
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Affiliation(s)
- Manendra
Singh Tomar
- Centre
for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow 226003, India
| | - Aditya Sharma
- Division
of Biochemistry and Structural Biology, CSIR-Central Drug Research Institute, Lucknow 226031, India
| | - Fabrizio Araniti
- Dipartimento
di Scienze Agrarie e Ambientali—Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - Ankit Pateriya
- Centre
for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow 226003, India
| | - Ashutosh Shrivastava
- Centre
for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow 226003, India
| | - Akhilesh Kumar Tamrakar
- Division
of Biochemistry and Structural Biology, CSIR-Central Drug Research Institute, Lucknow 226031, India
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Benzo[a]pyrene treatment modulates Nrf2/Keap1 axis and changes the metabolic profile in rat lung cancer. Chem Biol Interact 2023; 373:110373. [PMID: 36736873 DOI: 10.1016/j.cbi.2023.110373] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/22/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
Lung cancer is an aggressive malignancy and the leading cause of cancer-related deaths. Benzo[a]pyrene (B[a]P), a polycyclic hydrocarbon, plays a pivotal role in lung carcinogenesis. Uncovering the molecular mechanism underlying the pathophysiology of B[a]P induced malignancy is crucial. Male Sprague Dawley rats were induced with B[a]P to generate a lung cancer model. The B[a]P administered rats show increased body and lung weight, loss of normal pulmonary architecture, and decreased survival. This study demonstrated that B[a]P upregulates activating transcription factor-6 (ATF6) and C/EBP Homologous Protein (CHOP) and induces endoplasmic reticulum (ER) stress. B[a]P also dysregulated mitochondrial homeostasis by upregulating, PTEN-induced putative kinase-1 (PINK1) and Parkin. B[a]P affected the levels of superoxide dismutase (SOD), reduced glutathione (GSH), malondialdehyde (MDA), and increased oxidative stress. B[a]P exposure downregulated Kelch-like ECH-associated protein 1 (Keap1) and upregulated nuclear factor erythroid 2-related factor 2 (Nrf2) and Heme oxygenase-1(HO1). The metabolomic study identified that biosynthesis of nucleotide, amino acids, pentose phosphate pathway (PPP), tricarboxylic acid cycle (TCA), and glutathione metabolism were up-accumulated. On the other hand, lower accumulation of fatty acids e.g., palmitic acid, stearic acid, and oleic acid were reported in the B[a]P induced group. Overall, the results of this study indicate that B[a]P treatment affects several signaling and metabolic pathways, whose dysregulation might be involved in lung cancer induction.
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