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Biology subjects

Mohammed, A. A.

Publications and source records attributed to Mohammed, A. A..

5 recordsLinked to original sources

Endogenous insulin mediates dynamic coordination between pancreatic cancer and systemic metabolism

Pancreatic ductal adenocarcinoma (PDAC) is commonly associated with obesity, diabetes, and cachexia. The pancreatic anabolic hormone, insulin, is implicated in each of these metabolic diseases, but how insulin levels affect tumor growth and relevant host physiological factors, was unclear. To address this, we transplanted orthotopic PDAC patient-derived organoids into mice consuming a hyperinsulinemia-inducing high-fat diet (HFD). We found that insulin concentrations were higher in tumors compared to circulation. Genetically reducing insulin levels reduced PDAC growth, particularly in HFD-fed mature male mice. In turn, we found the presence of pancreatic tumors increased glucose clearance and limited the expected dietary-induced gains in insulin, weight and fat mass. Interestingly, tumor growth in normal-chow-fed mice, but not HFD-fed mice, was associated with declining circulating insulin levels, as well as declines in fat and muscle mass. Together, these data provide new insights into the complex, insulin-centred interplay between PDAC and the hosts systemic metabolism that underlie cancer-associated metabolic dysfunction.

cancer biology↗

Validation of a Microsampling-Compatible LC-MS/MS Method for Cannabinoid Quantitation in Whole Blood

Recently developed dried blood sampling methods for cannabinoid quantitation require small blood volumes, making them microsampling-compatible, but have notable limitations including hematocrit-related bias for dried blood spots (DBS) and higher consumable costs for volumetric absorptive microsampling (VAMS(R)). To address these issues, we developed a highly sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) method capable of quantifying cannabinoids in 50 {micro}L of liquid whole blood, providing a practical microsampling alternative to dried blood approaches. Using liquid-liquid extraction (LLE) with sodium hydroxide alkalinization and acetonitrile precipitation, followed by quantitative analysis on an Agilent 6495 liquid chromatography-triple quadrupole (LC-TQ) mass spectrometer, we achieved lower limits of quantitation (LLOQs) of 0.10 ng/mL for {Delta}9-tetrahydrocannabinol (THC) and cannabinol (CBN), 0.20 ng/mL for cannabigerol (CBG), 0.30 ng/mL for cannabidiol (CBD), 0.50 ng/mL for 11-hydroxy-THC (11-OH-THC), and 5.0 ng/mL for 11-nor-9-carboxy-THC (THC-COOH). Calibration was linear from the LLOQ to 300 ng/mL for all analytes. To our knowledge, this is the first validated approach for cannabinoid quantitation in less than 100 {micro}L of liquid whole blood with an LLOQ for THC comparable to that with the most sensitive LC-MS/MS methods using standard blood volumes. The achieved LLOQs for other cannabinoids are also suitable for forensic toxicology applications. We anticipate particular utility for obtaining evidence from suspected impaired drivers at the roadside when paired with finger-prick sampling and liquid blood microcollection tubes.This approach enables measurement of THC levels at the time of driving and thereby overcoming current limitations, including the decrease in THC levels that occurs if blood sampling is delayed, the requirement for larger sample volumes ([≥]100 {micro}L), and dependence on trained phlebotomists for venipuncture.

pharmacology and toxicology↗

Epitope - based peptide vaccine against glycoprotein GPC precursor of Lujo virus using immunoinformatics approaches

BackgroundLujo virus (LUJV) is a highly fatal human pathogen belonging to the Arenaviridae family. Lujo virus causes viral hemorrhagic fever (VHF). An In silico molecular docking was performed on the GPC domain of Lujo virus in complex with the first CUB domain of neuropilin-2. The aim of this study is to predict effective epitope-based vaccine against glycoprotein GPC precursor of Lujo virus using immunoinformatics approaches. Methods and Materialsglycoprotein GPC precursor of Lujo virus Sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominees epitopes in BepiPred-2.0: Sequential B-Cell Epitope Predictor for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program. Results and ConclusionsThe proposed and promising peptides FWYLNHTKL and YMFSVTLCI shows a very strong binding affinity to MHC class I & II alleles with high population coverage for the world, South Africa and Sudan. This indicates a strong potential to formulate a new vaccine, especially with the peptide YMFSVTLCI which is likely to be the first proposed epitope-based vaccine against glycoprotein GPC of Lujo virus. This study recommends an in-vivo assessment for the most promising peptides especially FWYLNHTKL, YMFSVTLCI and LPCPKPHRLR.

bioinformatics↗

Epitope-based peptide vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches

BackgroundNipah virus (NiV) is a member of the genus Henipavirus of the family Paramyxoviridae, characterized by high pathogenicity and endemic in South Asia, first emerged in Malaysia in 1998. The case-fatality varies from 40% to 70% depending on the severity of the disease and on the availability of adequate healthcare facilities. At present no antiviral drugs are available for NiV disease and the treatment is just supportive. Clinical presentation ranges from asymptomatic infection to fatal encephalitis. Bats are the main reservoir for this virus, which can cause disease in humans and animals. The last investigated NiV outbreak has occurred in May 2018 in Kerala.\n\nObjectiveThis study aims to predict effective epitope-based vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches.\n\nMethods and MaterialsGlycoprotein G of Nipah henipavirus sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominees epitopes in BepiPred-2.0: Sequential B-Cell Epitope Predictor for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program.\n\nResults and ConclusionsPeptide TVYHCSAVY shows a very strong binding affinity to MHC I alleles while FLIDRINWI shows a very strong binding affinity to MHC II and MHC I alleles. This indicates a strong potential to formulate a new vaccine, especially with the peptide FLIDRINWI that is likely to be the first proposed epitope-based vaccine against glycoprotein G of Nipah henipavirus. This study recommends an in-vivo assessment for the most promising peptides especially FLIDRINWI.

bioinformatics↗

Epitope - based peptide vaccine against Fructose-bisphosphate aldolase (FBA) of Madurella mycetomatis using immunoinformatics approaches

BackgroundMycetoma is a distinct flesh eating and destructive neglected tropical disease. It is endemic in many tropical and subtropical countries. Mycetoma is caused by bacterial infections (actinomycetoma) such as Streptomyces somaliensis and Nocardiae or true fungi (eumycetoma) such as Madurella mycetomatis. Until date, treatments fail to cure the infection and the available marketed drugs are expensive and toxic upon prolonged usage. Moreover, no vaccine was prepared yet against mycetoma.\n\nThe aim of this study is to predict effective epitope-based vaccine against fructose-bisphosphate aldolase enzymes of M. mycetomatis using immunoinformatics approaches.\n\nMethods and MaterialsFructose-bisphosphate aldolase of Madurella mycetomatis Sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominees epitopes in Immune Epitope Database for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program.\n\nResults and ConclusionsThe proposed and promising peptides KYLQ shows a potent binding affinity to B-cell, FEYARKHAF with a very strong binding affinity to MHC1 alleles and FFKEHGVPL that show a very strong binding affinity to MHC11and MHC1 alleles. This indicates a strong potential to formulate a new vaccine, especially with the peptide FFKEHGVPL which is likely to be the first proposed epitope-based vaccine against Fructose-bisphosphate aldolase of Madurella mycetomatis. This study recommends an in-vivo assessment for the most promising peptides especially FFKEHGVPL.

bioinformatics↗