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Jangid H, Garg S, Kashyap P, Karnwal A, Shidiki A, Kumar G. Bioprospecting of Aspergillus sp. as a promising repository for anti-cancer agents: a comprehensive bibliometric investigation. Front Microbiol 2024; 15:1379602. [PMID: 38812679 PMCID: PMC11133633 DOI: 10.3389/fmicb.2024.1379602] [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: 01/31/2024] [Accepted: 04/30/2024] [Indexed: 05/31/2024] Open
Abstract
Cancer remains a significant global health challenge, claiming nearly 10 million lives in 2020 according to the World Health Organization. In the quest for novel treatments, fungi, especially Aspergillus species, have emerged as a valuable source of bioactive compounds with promising anticancer properties. This study conducts a comprehensive bibliometric analysis to map the research landscape of Aspergillus in oncology, examining publications from 1982 to the present. We observed a marked increase in research activity starting in 2000, with a notable peak from 2005 onwards. The analysis identifies key contributors, including Mohamed GG, who has authored 15 papers with 322 citations, and El-Sayed Asa, with 14 papers and 264 citations. Leading countries in this research field include India, Egypt, and China, with King Saud University and Cairo University as the leading institutions. Prominent research themes identified are "endophyte," "green synthesis," "antimicrobial," "anti-cancer," and "biological activities," indicating a shift towards environmentally sustainable drug development. Our findings highlight the considerable potential of Aspergillus for developing new anticancer therapies and underscore the necessity for further research to harness these natural compounds for clinical use.
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Affiliation(s)
- Himanshu Jangid
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, India
| | - Sonu Garg
- Department of Biotechnology, Mahatma Jyoti Rao Phoole University, Jaipur, Rajasthan, India
| | - Piyush Kashyap
- School of Agriculture, Lovely Professional University, Jalandhar, Punjab, India
| | - Arun Karnwal
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, India
| | - Amrullah Shidiki
- Department of Microbiology, National Medical College & Teaching Hospital, Birgunj, Nepal
| | - Gaurav Kumar
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, India
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Lin H, Chen Z, Solomon Adade SYS, Yang W, Chen Q. Detection of Maize Mold Based on a Nanocomposite Colorimetric Sensor Array under Different Substrates. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:11164-11173. [PMID: 38564679 DOI: 10.1021/acs.jafc.4c00293] [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: 04/04/2024]
Abstract
This study developed a novel nanocomposite colorimetric sensor array (CSA) to distinguish between fresh and moldy maize. First, the headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS) method was used to analyze volatile organic compounds (VOCs) in fresh and moldy maize samples. Then, principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used to identify 2-methylbutyric acid and undecane as key VOCs associated with moldy maize. Furthermore, colorimetric sensitive dyes modified with different nanoparticles were employed to enhance the dye properties used in the nanocomposite CSA analysis of key VOCs. This study focused on synthesizing four types of nanoparticles: polystyrene acrylic (PSA), porous silica nanospheres (PSNs), zeolitic imidazolate framework-8 (ZIF-8), and ZIF-8 after etching. Additionally, three types of substrates, qualitative filter paper, polyvinylidene fluoride film, and thin-layer chromatography silica gel, were comparatively used to fabricate nanocomposite CSA combining with linear discriminant analysis (LDA) and K-nearest neighbor (KNN) models for real sample detection. All moldy maize samples were correctly identified and prepared to characterize the properties of the CSA. Through initial testing and nanoenhancement of the chosen dyes, four nanocomposite colorimetric sensitive dyes were confirmed. The accuracy rates for LDA and KNN models in this study reached 100%. This work shows great potential for grain quality control using CSA methods.
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Affiliation(s)
- Hao Lin
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, P. R. China
| | - Zeyu Chen
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, P. R. China
| | | | - Wenjing Yang
- College of Light Industry Science and Engineering, Tianjin University of Science & Technology, 9 13th Street, Economic and Technological Development Zone, Tianjin 300457, P. R. China
| | - Quansheng Chen
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, P. R. China
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China
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Detection of wheat toxigenic Aspergillus flavus based on nano-composite colorimetric sensing technology. Food Chem 2023; 405:134803. [DOI: 10.1016/j.foodchem.2022.134803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/11/2022]
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Abstract
Aflatoxins are endemic in Kenya. The 2004 outbreak of acute aflatoxicosis in the country was one of the unprecedented epidemics of human aflatoxin poisoning recorded in mycotoxin history. In this study, an elaborate review was performed to synthesize Kenya’s major findings in relation to aflatoxins, their prevalence, detection, quantification, exposure assessment, prevention, and management in various matrices. Data retrieved indicate that the toxins are primarily biosynthesized by Aspergillus flavus and A. parasiticus, with the eastern part of the country reportedly more aflatoxin-prone. Aflatoxins have been reported in maize and maize products (Busaa, chan’gaa, githeri, irio, muthokoi, uji, and ugali), peanuts and its products, rice, cassava, sorghum, millet, yams, beers, dried fish, animal feeds, dairy and herbal products, and sometimes in tandem with other mycotoxins. The highest total aflatoxin concentration of 58,000 μg/kg has been reported in maize. At least 500 acute human illnesses and 200 deaths due to aflatoxins have been reported. The causes and prevalence of aflatoxins have been grossly ascribed to poor agronomic practices, low education levels, and inadequate statutory regulation and sensitization. Low diet diversity has aggravated exposure to aflatoxins in Kenya because maize as a dietetic staple is aflatoxin-prone. Detection and surveillance are only barely adequate, though some exposure assessments have been conducted. There is a need to widen diet diversity as a measure of reducing exposure due to consumption of aflatoxin-contaminated foods.
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Development of PCR, LAMP and qPCR Assays for the Detection of Aflatoxigenic Strains of Aspergillus flavus and A. parasiticus in Hazelnut. Toxins (Basel) 2020; 12:toxins12120757. [PMID: 33266343 PMCID: PMC7761073 DOI: 10.3390/toxins12120757] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/23/2020] [Accepted: 11/26/2020] [Indexed: 01/10/2023] Open
Abstract
Aspergillus flavus and A. parasiticus are two species able to produce aflatoxins in foodstuffs, and in particular in hazelnuts, at harvest and during postharvest phase. As not all the strains of these species are aflatoxin producers, it is necessary to develop techniques that can detect aflatoxigenic from not aflatoxigenic strains. Two assays, a LAMP (loop-mediated isothermal amplification) and a real time PCR with TaqMan® probe were designed and validated in terms of specificity, sensitivity, reproducibility, and repeatability. The capability of the strains to produce aflatoxins was measured in vitro and both assays showed to be specific for the aflatoxigenic strains of A. flavus and A. parasiticus. The limit of detection of the LAMP assay was 100–999 picograms of DNA, while the qPCR detected 160 femtograms of DNA in hazelnuts. Both techniques were validated using artificially inoculated hazelnuts and naturally infected hazelnuts. The qPCR was able to detect as few as eight cells of aflatoxigenic Aspergillus in naturally infected hazelnut. The combination of the LAMP assay, which can be performed in less than an hour, as screening method, with the high sensitivity of the qPCR, as confirmation assay, is able to detect aflatoxigenic strains already in field, helping to preserve the food safety of hazelnuts.
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Mitema A, Feto NA, Rafudeen MS. Development and validation of TOF/Q-TOF MS/MS, HPLC method and in vitro bio-strategy for aflatoxin mitigation. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2020; 37:2149-2164. [PMID: 33151829 DOI: 10.1080/19440049.2020.1815861] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Some secondary metabolites produced by fungi are carcinogenic, hepatotoxic, and/or cause birth defects in humans and animals. We developed and optimised bio-analytical tools for detection of metabolites, aflatoxins and evaluated the effectiveness of the methods in co-infected maize tissues. Isolate KSM012 (atoxigenic) demonstrated no peaks and no blue fluorescence on HPLC and TLC plates respectively confirming non-toxicity. AFB1 and AFB2 were produced by Isolate KSM015 in addition to AFG1 and AFG2, which is an indication of possible SBG morphotype. The limits of quantification and detection ranged from 0.02 to 35.81 µg/mL and 0.01-6.8 µg/mL, respectively. The best mass spectrum with lowest noise was obtained at 100% ACN and sterile water spiked with 0.1% formic acid at a flow rate of 0.3 mL/min. The positive ion mode with electrospray ionisation application exhibited better fragmentation for mycotoxins. In total 17 metabolites were detected by targeted and formula mass. KDVI maize line exhibited high fungal colonisation in comparison to GAF4 at equal co-infection ratio 50:50. AFB1 and AFG2 were remarkably higher in GAF4 in comparison to sensitive KDV1 (p ˂ 0.05). The detection limits, linearity and sensitivity showed the method developed was suitable for the determination of mycotoxin in comparisons to the guidelines of European Commission 657/EC 2002.
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Affiliation(s)
- Alfred Mitema
- OMICS Research Group, Department of Biotechnology, Vaal University of Technology , Vanderbijlpark, South Africa.,Plant Stress Laboratory, Department of Molecular and Cell Biology, University of Cape Town , Cape Town, South Africa.,School of Biological Sciences, University of Nairobi , Nairobi, Kenya
| | - Naser Aliye Feto
- OMICS Research Group, Department of Biotechnology, Vaal University of Technology , Vanderbijlpark, South Africa
| | - Mohamed Suhail Rafudeen
- Plant Stress Laboratory, Department of Molecular and Cell Biology, University of Cape Town , Cape Town, South Africa
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Mitema A, Okoth S, Rafudeen SM. Correction: Mitema, A. et al. The Development of a qPCR Assay to Measure Aspergillus flavus Biomass in Maize and the Use of a Biocontrol Strategy to Limit Aflatoxin Production. Toxins 2019, 11, 179. Toxins (Basel) 2019; 11:toxins11070384. [PMID: 31266239 PMCID: PMC6669549 DOI: 10.3390/toxins11070384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/20/2019] [Indexed: 11/16/2022] Open
Abstract
The authors wish to make the following correction to their paper [...].
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Affiliation(s)
- Alfred Mitema
- Plant Stress Laboratory 204/207, Department of Molecular and Cell Biology, MCB Building, Upper Campus, University of Cape Town, Private bag X3, Rondebosch, Cape Town 7701, South Africa.
- Department of Botany, School of Biological Sciences, University of Nairobi, P.O. Box 30197, Nairobi 00100, Kenya.
| | - Sheila Okoth
- Department of Botany, School of Biological Sciences, University of Nairobi, P.O. Box 30197, Nairobi 00100, Kenya
| | - Suhail M Rafudeen
- Plant Stress Laboratory 204/207, Department of Molecular and Cell Biology, MCB Building, Upper Campus, University of Cape Town, Private bag X3, Rondebosch, Cape Town 7701, South Africa.
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