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Muhamadali, H.

Publications and source records attributed to Muhamadali, H..

2 recordsLinked to original sources

Global Skeletal Muscle Metabolomics Reveals Mechanisms Behind Higher Response to Resistance Training in Older Adults

To understand the mechaisnm behind high respond (HighR) compared to low respond (LowR) to resistnace training (RT) and whey protein supplementation (20g/day), we analysied vastus laterails muscle biopsies from a total of 50 participants. Utilising the MRI muscle cross-sectional area (CSA) data, we defined responders as those who had hypertrophy exceeding the 1.7% method error. Quadriceps CSA in the lower responder (LowR) (n=25, mean age 69{+/-}5 years) and HighR (n=25, mean age 67{+/-}4 years) increased from 53.6 {+/-} 12.1 cm2 to 55.4 {+/-} 12.8 cm2 after 10 weeks of RET (3.3 {+/-} 1.7%, P < 0.001) and increased the absolute CSA in the higher responders (HighR) from 53.7 {+/-} 12.5 cm2 to 59.2 {+/-} 13.6 cm2 (10.3 {+/-} 2.0%, P < 0.001). Muscle biopsies were taken from the vastus lateralis before and after RT. We performed untargeted liquid chromatography-mass spectrometry metabolomics to investigate changes in muscle metabolic regulation. The partial least squares discriminant analysis (PLS-DA) yielded the best results using the polar extracts, achieving a 75% average correct classification rate for predicting HighR and LowR. There was no signifncat differences in metabolomic profile at the basline. Our findings revealed several metabolic pathways, including branched-chain amino acid catabolism, tryptophan metabolism (indole and kynurenine pathways), the TCA cycle, gut-derived metabolites, carnitine shuttle metabolism as prominent pathways disrupted in LowR. We provide new insights and has the potential to identify and enhance interventions targeting muscle metabolism, ultimately improving muscle mass and strength to reduce the risk of sarcopenia and frailty in older age.

systems biology↗

Targeting methionine synthase in a fungal pathogen causes a metabolic imbalance that impacts cell energetics, growth and virulence

There is an urgent need to develop novel antifungals to tackle the threat fungal pathogens pose to human health. In this work, we have performed a comprehensive characterisation and validation of the promising target methionine synthase (MetH). We uncover that in Aspergillus fumigatus the absence of this enzymatic activity triggers a metabolic imbalance that causes a reduction in intracellular ATP, which prevents fungal growth even in the presence of methionine. Interestingly, growth can be recovered in the presence of certain metabolites, which evidences that metH is a conditionally essential gene. As this implies that for a correct validation MetH should be targeted in established infections, we have validated the use of the tetOFF genetic model for fungal research and optimised its performance to mimic treatment of established infections. We show that repression of metH in growing hyphae halts growth in vitro, which translates into a beneficial effect when targeting established infections using this model in vivo. Finally, a structural-based virtual screening of methionine synthases reveals key differences between the human and fungal structures and unravels features in the fungal enzyme that can guide the design of novel specific inhibitors. Therefore, methionine synthase is a valuable target for the development of new antifungals. IMPORTANCEFungal pathogens are responsible for millions of life-threatening infections on an annual basis worldwide. The current repertoire of antifungal drugs is very limited and, worryingly, resistance has emerged and already become a serious threat to our capacity to treat fungal diseases. The first step to develop new drugs often is to identify molecular targets which inhibition during infection can prevent pathogen growth. However, the current models are not suitable to validate targets in established infections. Here we have characterised the promising antifungal target methionine synthase in great detail, using the prominent fungal pathogen Aspergillus fumigatus as a model. We have uncovered the underlying reason for its essentiality and confirmed its druggability. Furthermore, we have optimised the use of a genetic system to show a beneficial effect of targeting methionine synthase in established infections. Therefore, we believe that antifungal drugs to target methionine synthase should be pursued and additionally, we propose that antifungal targets should be validated in a model of established infection.

microbiology↗