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Macleod, M.

Publications and source records attributed to Macleod, M..

7 recordsLinked to original sources

GLP-1 and GIP receptor agonism does not directly drive skeletal muscle atrophy or impair myogenesis in primary human myotubes

GLP-1 and GIP/GLP-1 receptor agonists produce substantial weight loss in clinical trials but significant loss of lean body mass is reported. Whether this reflects a direct pharmacological effect on skeletal muscle or an indirect consequence of caloric restriction and reduced mechanical loading is unknown. Primary myoblasts were isolated from skeletal muscle of older adults with obesity undergoing orthopaedic surgery. GIPR and GLP-1R expression was characterised by RT- qPCR and flow cytometry. Differentiated myotubes were treated with semaglutide or GIP peptide and assessed for atrophy-related gene expression (qPCR), secretome perturbation (Olink Reveal), mitochondrial and glycolytic bioenergetics (Seahorse XF Real-Time ATP Rate Assay, glucose uptake, lactate secretion) and myotube morphology and myogenesis (immunofluorescence). GIPR mRNA was consistently detected across all donors; GLP-1R mRNA was undetectable by PCR, though LUXendin645 flow cytometry identified low-level surface GLP-1R protein in 51-66% of myoblasts. Neither semaglutide nor GIP altered atrophy-related gene expression or the secretome, with no proteins reaching significance. Semaglutide reduced glycolytic and total ATP production rates, accompanied by reduced lactate secretion, suggesting modest suppression of glycolytic flux; mitochondrial parameters were unaffected. Neither treatment impaired myotube thickness or differentiation; GIP increased myotube thickness after 8 days. Direct GLP-1 and GIP receptor activation does not substantively perturb atrophic signalling, myogenesis, or the secretome of primary human skeletal muscle myotubes. These findings suggest that lean mass loss with incretin-based therapies is unlikely to be driven by direct pharmacological action on skeletal muscle - particularly relevant as these agents are increasingly used in older adults at risk of sarcopenia.

physiology↗

Engineering quantitative root disease resistance in barley by targeting conserved SCAR susceptibility genes without compromising seed yield or mycorrhizal symbiosis

Durable resistance to soil-borne pathogens remains elusive in cereals, partly because susceptibility (S) genes that facilitate root infection have not been identified in monocots. In the model legume Medicago truncatula, the SCAR/WAVE complex member MtAPI functions as a root S-gene for microbial invasion. Whether SCAR gene associated susceptibility function is conserved in monocots, and whether SCAR gene inactivation can enhance root resistance in cereals, remains unknown. Here, we identify and characterize three SCAR genes in barley: HvSCAR-A, HvSCAR-B, and HvSCAR-C. Cross-species complementation assays indicate that HvSCAR-B and HvSCAR-C are functionally similar to MtAPI. While hscar-b and hvscar-c single mutants exhibited no major growth defects, hvscar-a mutants showed strongly reduced seed production, and a hvscar-b/c double mutant displayed shorter root hairs. Notably, the hvscar-b/c double mutant exhibited increased resistance to the hemibiotrophic pathogen Phytophthora palmivora but greater colonization by the symbiotic arbuscular mycorrhizal fungus Funneliformis mosseae, underscoring a complex role in plant root - microbe interactions. Our findings reveal a conserved susceptibility function of SCAR genes in monocots and identify api monocot homologs as promising targets for engineering disease resistance in cereals. This study offers new insights into SCAR protein functional diversification and its potential for improving root health in crop plants.

plant biology↗

Obesity reprograms adipose extracellular vesicles to induce muscle atrophy via miR-150-5p-mediated transcriptional silencing

BackgroundSarcopenic obesity, where excess body fat coexists with reduced muscle mass and function, is becoming increasingly common in ageing populations and contributes to poor physical and metabolic health. Although adipose tissue-secreted factors are implicated in muscle decline, the specific mechanisms remain unclear. Extracellular vesicles (EVs), which carry regulatory cargo such as microRNAs (miRNAs) between cells, may play a key role in this adipose-muscle communication. MethodsEVs were isolated from adipose-conditioned media (ACM) collected from lean and non-lean human donors using ultracentrifugation. Donors were grouped by BMI (lean: 20.7-24.4; non-lean: 25.3-39.3) and age (younger: 31-56 years; older: 60-84 years). EVs were characterised using nanoparticle tracking analysis (NTA), ExoView, nanoscale flow cytometry (CytoFLEX Nano), and transmission electron microscopy (TEM). Primary human myoblasts were differentiated into myotubes and treated for 24 hours with lean or non-lean EVs (1.3x10 particles/ml) or left untreated. Myotube thickness was measured by immunofluorescence microscopy. Transcriptomic changes were assessed by bulk RNA sequencing. EV miRNA cargo was profiled by small RNA-seq and validated by qPCR. The role of miR-150-5p was tested using antagomir inhibition. ResultsNon-lean EVs significantly reduced myotube thickness compared to both untreated controls (8.7 {+/-} 1.66 {micro}m vs. 12.4 {+/-} 1.72 {micro}m, p < 0.01) and lean EV-treated myotubes (8.7 {+/-} 1.66 {micro}m vs. 13.2 {+/-} 3.84 {micro}m, p < 0.05), indicating a donor BMI-specific effect. This atrophy was restricted to myotubes derived from older donors. MAFbx expression was significantly increased in response to non-lean EVs (p < 0.05). RNA-seq revealed 471 differentially expressed genes (DEGs) in EV-treated vs. untreated cells and 293 DEGs between lean and non-lean EV conditions, with enrichment in inflammatory (TNF, IL1B), oxidative stress, mitochondrial, and chromatin pathways. Small RNA-seq identified 7 differentially expressed miRNAs, including miR-150-5p and miR-193b-5p, both significantly upregulated in non-lean EVs and validated by qPCR. Inhibiting miR-150-5p partially rescued myotube thickness (10.5 {+/-} 1.37 {micro}m vs. 8.7 {+/-} 1.66 {micro}m, p < 0.05) and reduced MAFbx expression. ConclusionsEVs from non-lean adipose tissue drive muscle atrophy and transcriptional changes in an age-dependent manner. These effects are partially mediated by miR-150-5p, highlighting a mechanistic role for EV cargo in adipose-muscle signalling. Targeting EV-derived miRNAs may offer a novel strategy to combat muscle loss in obesity and ageing.

cell biology↗

Systemic drivers and molecular mechanisms of sarcopenia in aetiology-specific end-stage liver disease

IntroductionPatients with end-stage liver disease (ESLD) often present with sarcopenia, defined as loss of skeletal muscle mass and quality, which is associated with reduced quality of life and increased mortality. However, the molecular mechanisms driving sarcopenia in ESLD are not fully understood and there are currently no therapeutic interventions. This study aimed to identify potential circulating factors contributing to sarcopenia progression in ESLD by assessing their role in driving transcriptomic alterations in skeletal muscle. MethodsQuadriceps muscle tissue, plasma and serum were obtained from ESLD patients (n=24) and age/sex-matched healthy controls (HC; n=18) (clinical trial ID: NCT04734496, ethical approval 18/WM/0167). Total RNA from snap-frozen vastus lateralis muscle biopsies underwent RNA sequencing (Illumina). Serum concentrations of 60 cytokines were profiled by Luminex and ELISA, with comparisons made both between ESLD and HC, and across ESLD aetiologies (alcohol-related, NAFLD, viral hepatitis, other). In vitro, primary human myotubes (from non-ESLD aged donors, NRES #16/SS/0172) were treated with 10% ESLD or HC plasma (24 h, n=6 per group) followed by RNA sequencing (BGI Genomics). Differentially expressed genes (p<0.05, fold-change >1.5) were identified via Qlucore and DESeq2, and pathway analysis performed using Ingenuity (Qiagen). The impact of physiological concentrations of candidate cytokines (IL-1, GDF-15, HGF) on myotube thickness, differentiation and mitochondrial function was assessed by immunofluorescence microscopy, RT-qPCR and metabolic flux assays. ResultsIn ESLD muscle, 387 and 225 genes were significantly up- and downregulated compared to HC respectively, with cellular senescence identified as a top dysregulated function. Upstream regulator analysis predicted activation of hepatocyte growth factor (HGF) and interleukin-1 signalling. Subgroup analysis revealed distinct transcriptomic profiles based on disease aetiology. Serum profiling identified 15 cytokines significantly elevated (p<0.05) and 5 reduced (p<0.05) in ESLD, including increased HGF and reduced interleukin-1 receptor antagonist. Stratified analysis also revealed aetiology specific cytokine profiles, with only GDF-15 significantly (P<0.0001) elevated in all groups. 24h ESLD plasma treatment induced 423 differentially expressed genes in human myotubes, which were again associated with significant activation of senescence pathways, with IL-1 identified as a key upstream driver. In vitro, IL-1, GDF-15, and HGF significantly reduced myotube thickness, nuclear fusion index and perturbed metabolism (Increased glycolysis, impaired oxidative phosphorylation). ConclusionsCollectively, these findings suggest that sarcopenia in ESLD is driven by aetiology-specific mechanisms, highlighting the potential for targeted therapies to improve muscle mass and function.

molecular biology↗

Risk of Bias Assessment in Preclinical Literature using Natural Language Processing

ObjectiveWe sought to apply natural language processing to the task of automatic risk of bias assessment in preclinical literature, which could speed the process of systematic review, provide information to guide research improvement activity, and support translation from preclinical to clinical research. Materials and MethodsWe use 7,840 full-text publications describing animal experiments with yes/no annotations for five risk of bias items. We implement a series of models including baselines (support vector machine, logistic regression, random forest), neural models (convolutional neural network, recurrent neural network with attention, hierarchical neural network) and models using BERT with two strategies (document chunk pooling and sentence extraction). We tune hyperparameters to obtain the highest F1 scores for each risk of bias item on the validation set and compare evaluation results on the test set to our previous regular expression approach. ResultsThe F1 scores of best models on test set are 82.0% for random allocation, 81.6% for blinded assessment of outcome, 82.6% for conflict of interests, 91.4% for compliance with animal welfare regulations and 46.6% for reporting animals excluded from analysis. Our models significantly outperform regular expressions for four risk of bias items. ConclusionFor random allocation, blinded assessment of outcome, conflict of interests and animal exclusions, neural models achieve good performance, and for animal welfare regulations, BERT model with sentence extraction strategy works better.

bioinformatics↗

The ARRIVE guidelines 2019: updated guidelines for reporting animal research

Reproducible science requires transparent reporting. The ARRIVE guidelines were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of information to include in publications describing in vivo experiments to enable others to scrutinise the work adequately, evaluate its methodological rigour, and reproduce the methods and results. Despite considerable levels of endorsement by funders and journals over the years, adherence to the guidelines has been inconsistent, and the anticipated improvements in the quality of reporting in animal research publications have not been achieved.\n\nHere we introduce ARRIVE 2019. The guidelines have been updated and information reorganised to facilitate their use in practice. We used a Delphi exercise to prioritise the items and split the guidelines into two sets, the ARRIVE Essential 10, which constitute the minimum requirement, and the Recommended Set, which describes the research context. This division facilitates improved reporting of animal research by supporting a stepwise approach to implementation. This helps journal editors and reviewers to verify that the most important items are being reported in manuscripts. We have also developed the accompanying Explanation and Elaboration document that serves 1) to explain the rationale behind each item in the guidelines, 2) to clarify key concepts and 3) to provide illustrative examples. We aim through these changes to help ensure that researchers, reviewers and journal editors are better equipped to improve the rigour and transparency of the scientific process and thus reproducibility.

scientific communication and education↗

Reporting animal research: Explanation and Elaboration for the ARRIVE guidelines 2019

Improving the reproducibility of biomedical research is a major challenge. Transparent and accurate reporting are vital to this process; it allows readers to assess the reliability of the findings, and repeat or build upon the work of other researchers. The NC3Rs developed the ARRIVE guidelines in 2010 to help authors and journals identify the minimum information necessary to report in publications describing in vivo experiments.\n\nDespite widespread endorsement by the scientific community, the impact of the ARRIVE guidelines on the transparency of reporting in animal research publications has been limited. We have revised the ARRIVE guidelines to update them and facilitate their use in practice. The revised guidelines are published alongside this paper. This Explanation and Elaboration document was developed as part of the revision. It provides further information about each of the 21 items in ARRIVE 2019, including the rationale and supporting evidence for their inclusion in the guidelines, elaboration of details to report, and examples of good reporting from the published literature.

scientific communication and education↗