1
|
Lobato S, Castillo-Granada AL, Bucio-Pacheco M, Salomón-Soto VM, Álvarez-Valenzuela R, Meza-Inostroza PM, Villegas-Vizcaíno R. PM 2.5, component cause of severe metabolically abnormal obesity: An in silico, observational and analytical study. Heliyon 2024; 10:e28936. [PMID: 38601536 PMCID: PMC11004224 DOI: 10.1016/j.heliyon.2024.e28936] [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: 01/23/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024] Open
Abstract
Obesity is currently one of the most alarming pathological conditions due to the progressive increase in its prevalence. In the last decade, it has been associated with fine particulate matter suspended in the air (PM2.5). The purpose of this study was to explore the mechanistic interaction of PM2.5 with a high-fat diet (HFD) through the differential regulation of transcriptional signatures, aiming to identify the association of these particles with metabolically abnormal obesity. The research design was observational, using bioinformatic methods and an explanatory approach based on Rothman's causal model. We propose three new transcriptional signatures in murine adipose tissue. The sum of transcriptional differences between the group exposed to an HFD and PM2.5, compared to the control group, were 0.851, 0.265, and -0.047 (p > 0.05). The HFD group increased body mass by 20% with two positive biomarkers of metabolic impact. The group exposed to PM2.5 maintained a similar weight to the control group but exhibited three positive biomarkers. Enriched biological pathways (p < 0.05) included PPAR signaling, small molecule transport, adipogenesis genes, cytokine-cytokine receptor interaction, and HIF-1 signaling. Transcriptional regulation predictions revealed CpG islands and common transcription factors. We propose three new transcriptional signatures: FAT-PM2.5-CEJUS, FAT-PM2.5-UP, and FAT-PM2.5-DN, whose transcriptional regulation profile in adipocytes was statistically similar by dietary intake and HFD and exposure to PM2.5 in mice; suggesting a mechanistic interaction between both factors. However, HFD-exposed murines developed moderate metabolically abnormal obesity, and PM2.5-exposed murines developed severe abnormal metabolism without obesity. Therefore, in Rothman's terms, it is concluded that HFD is a sufficient cause of the development of obesity, and PM2.5 is a component cause of severe abnormal metabolism of obesity. These signatures would be integrated into a systemic biological process that would induce transcriptional regulation in trans, activating obesogenic biological pathways, restricting lipid mobilization pathways, decreasing adaptive thermogenesis and angiogenesis, and altering vascular tone thus inducing a severe metabolically abnormal obesity.
Collapse
Affiliation(s)
- Sagrario Lobato
- Departamento de Investigación en Salud, Servicios de Salud del Estado de Puebla, 15 South Street 302, Puebla, Mexico
- Promoción y Educación para la Salud, Universidad Abierta y a Distancia de México. Universidad Avenue 1200, 1st Floor, quadrant 1-2, Xoco, Benito Juarez, 03330, Mexico City, Mexico
- Educación Superior, Centro de Estudios, “Justo Sierra”, Surutato, Badiraguato, Mexico
| | - A. Lourdes Castillo-Granada
- Educación Superior, Centro de Estudios, “Justo Sierra”, Surutato, Badiraguato, Mexico
- Facultad de Estudios Superiores Zaragoza, Universidad Nacional Autónoma de México, Guelatao Avenue 66, Ejército de Oriente Indeco II ISSSTE, Iztapalapa, 09230, Mexico City, Mexico
| | - Marcos Bucio-Pacheco
- Educación Superior, Centro de Estudios, “Justo Sierra”, Surutato, Badiraguato, Mexico
- Facultad de Biología, Universidad Autónoma de Sinaloa, Americas Avenue, Universitarios Blvd., University City, 80040, Culiacán Rosales, Mexico
| | | | | | | | | |
Collapse
|
2
|
Getahun M, Nesru Y, Ahmed M, Satapathy S, Shenkute K, Gupta N, Naimuddin M. Phytochemical Composition, Antioxidant, Antimicrobial, Antibiofilm, and Antiquorum Sensing Potential of Methanol Extract and Essential Oil from Acanthus polystachyus Delile (Acanthaceae). ACS OMEGA 2023; 8:43024-43036. [PMID: 38024770 PMCID: PMC10653062 DOI: 10.1021/acsomega.3c06246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/20/2023] [Accepted: 10/12/2023] [Indexed: 12/01/2023]
Abstract
The evolution of microbes in response to conventional antimicrobials leads to antimicrobial resistance (AMR) and multidrug resistance (MDR), and it is a global threat to public health. Natural products are possible solutions to this massive challenge. In this study, the potential of Acanthus polystachyus extracts was investigated for phytochemical composition and biological properties as antimicrobials. Gas chromatography-mass spectra (GC-MS) analysis of methanol extract (ME) and essential oil (EO) detected 79 and 20 compounds, respectively. The major compounds identified in ME and their abundance were β-sitosterol acetate (16.06%), cholest-5-en-3-yl (9Z)-9-octadecenoate (9.54%), 1-dodecanol (7.57%), (S)-(E)-(-)-4-acetoxy-1-phenyl-2-dodecen-1-one (6.03%), neophytadiene (5.7%), (E)-2-nonadecene (3.9%), hexanol-4-D2 (2.92%), and decane (2.4%). Most compounds have known bioactive functions. In EO, the major compounds were stearyl alcohol (25.38%); cis-9-tetradecenoic acid, isobutyl ester (22.95%); butyl 9-tetradecenoate (10.62%); 11,13-dimethyl-12-tetradecen-1-ol acetate (10.14%); ginsenol (3.48%); and diisooctyl phthalate (2.54%). All compounds are known to be bioactive. The antioxidant activity of ME and EO ranged from 48.3 to 84.2% radical scavenging activity (RSA) and 45.6 to 82% RSA, respectively, with dose dependency. The disc diffusion assay for the antimicrobial activity of ME revealed high inhibition against Acenetobacter baumannii (130.2%), Pseudomonas aeruginosa (100.3%), and Staphylococcus aureus (87.7%). The MIC, MBC/MFC, and MBIC values for ME were 0.5-1.0, 2-4, and 0.5-1.0 mg/mL and for EO were 0.31-0.62, 1.25-2.5, and 0.31-0.62 μL/mL, respectively, indicating inhibition potential as well as inhibition of biofilm formation. The tolerance test values indicated bactericidal activity against most strains and bacteriostatic/fungistatic activity against A. baumannii, E. faecalis, and C. albicans. The antiquorum sensing activity of ME achieved by pyocyanin inhibition assay on P. aeruginosa showed a 51.6% inhibition at 500 μg/mL. These results suggest that ME and EO derived from A. polystachyus leaves are potent, valuable, cost-effective antioxidants and antimicrobials. Both extracts may effectively combat pathogenic and resistant microbes.
Collapse
Affiliation(s)
- Meron Getahun
- Department
of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888 Adama, Ethiopia
| | - Yonatan Nesru
- Department
of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888 Adama, Ethiopia
| | - Muktar Ahmed
- Institute
of Pharmaceutical Sciences, Adama Science
and Technology University, P.O. Box 1888 Adama, Ethiopia
| | - Sunita Satapathy
- Department
of Zoology, School of Applied Science, Centurion
University of Technology & Management, Bhubaneswar 752050, Odisha, India
| | - Kebede Shenkute
- Department
of Applied Chemistry, School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888 Adama, Ethiopia
| | - Neeraj Gupta
- Department
of Applied Chemistry, School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888 Adama, Ethiopia
| | - Mohammed Naimuddin
- Department
of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888 Adama, Ethiopia
| |
Collapse
|
3
|
In Silico Study of Mercury Resistance Genes Extracted from Pseudomonas spp. Involved in Bioremediation: Understanding the Promoter Regions and Regulatory Elements. Int J Genomics 2022; 2022:6185615. [PMID: 35991673 PMCID: PMC9391164 DOI: 10.1155/2022/6185615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/24/2022] [Accepted: 08/02/2022] [Indexed: 11/18/2022] Open
Abstract
Microbial genes and their product were diverse and beneficial for heavy metal bioremediation from the contaminated sites. Screening of genes and gene products plays a significant role in the detoxification of pollutants. Understanding of the promoter region and its regulatory elements is a vital implication of microbial genes. To the best of our knowledge, there is no in silico study reported so far on mer gene families used for heavy metal bioremediation. The motif distribution was observed densely upstream of the TSSs (transcription start sites) between +1 and -350 bp and sparsely distributed above -350 bp, according to the current study. MEME identified the best common candidate motifs of TFs (transcription factors) binding with the lowest e value (7.2
-033) and is the most statistically significant candidate motif. The EXPREG output of the 11 TFs with varying degrees of function such as activation, repression, transcription, and dual purposes was thoroughly examined. Data revealed that transcriptional gene regulation in terms of activation and repression was observed at 36.4% and 54.56%, respectively. This shows that most TFs are involved in transcription gene repression rather than activation. Likewise, EXPREG output revealed that transcriptional conformational modes, such as monomers, dimers, tetramers, and other factors, were also analyzed. The data indicated that most of the transcriptional conformation mode was dual, which accounts for 96%. CpG island analysis using online and offline tools revealed that the gene body had fewer CpG islands compared to the promoter regions. Understanding the common candidate motifs, transcriptional factors, and regulatory elements of the mer operon gene cluster using a machine learning approach could help us better understand gene expression patterns in heavy metal bioremediation.
Collapse
|