U01.01.090 Metabolic Rate-Limiting Enzymes: Hormonal & Allosteric Regulation Guide
Master the master-regulators of metabolism with our U01.01.090 guide. Learn the rate-limiting steps for Glycolysis (PFK-1), Gluconeogenesis (F-1,6-BPase), Fatty Acid Synthesis (ACC), and the Urea Cycle (CPS I). Understand how Insulin, Glucagon, and energy markers like AMP/ATP shift metabolic flux. Essential USMLE Step 1 biochemistry preparation available on mymedschool.org.
U01.01.089 Enzyme Terminology: Holoenzymes, Coactivators & Catalytic Efficiency
Master the essential language of enzymology with our U01.01.089 summary. This high-yield review covers the definitions of Apoenzymes, Holoenzymes, Cofactors, and Coenzymes. Learn to differentiate between Prosthetic groups and Cosubstrates, and understand the roles of Zymogens and Isoenzymes in clinical diagnostics. Essential preparation for USMLE Step 1 and biochemistry exams on mymedschool.org.
U01.01.088 Ethanol Metabolism: Alcohol Dehydrogenase, MEOS & NADH/NAD+ Ratio
Master the biochemistry of alcohol metabolism with our U01.01.088 summary. This high-yield review covers the zero-order kinetics of Alcohol Dehydrogenase, the induction of the MEOS (CYP2E1) pathway, and the metabolic consequences of an increased NADH/NAD+ ratio. Learn how ethanol consumption leads to lactic acidosis, fasting hypoglycemia, and hepatic steatosis. Essential preparation for USMLE Step 1 on mymedschool.org.
If you’ve been hitting the gym and eating clean but the scale isn’t budging, it’s time to meet your new best friend: BMR. 🤝✨
BMR stands for Basal Metabolic Rate. Essentially, it’s the number of calories your body burns just by existing—even if you spent the entire day binge-watching your favorite show! 📺🍎
Visit: https://www.bajajfinserv.in/insurance/bmr-calculator
#bmr #weightlossjourney #fitnessscience #caloriescount #healthhack #metabolism #fatloss #nutritiontips #healthylifestyle #fitnessgoals
UNB lab welcomes Canada’s first infant chamber to measure metabolism
The University of New Brunswick has welcomed a new addition to its Pediatric Health and Development Studies (PEADS) Laboratory — a custom-engineered infant metabolic chamber that will allow researchers to measure an infant’s metabolism as early as Day 1.
https://www.cbc.ca/news/canada/new-brunswick/maryam-kebbe-unb-infant-metabolic-chamber-9.7151642?cmp=rss📰 "Non-random brain connectome wiring enables robust and efficient neural network function under high sparsity"
https://www.biorxiv.org/content/10.64898/2026.03.30.715411v1?rss=1 #DrosophilaMelanogaster #Drosophila #Metabolism
Non-random brain connectome wiring enables robust and efficient neural network function under high sparsity
The connectivity of brain networks is extremely sparse due to metabolic, physical and spatial constraints. Although wiring sparsity can confer computational advantages for biological and artificial neural networks, sparse networks require fine parameter tuning and exhibit strong sensitivity to perturbations. How brains achieve their efficiency and robustness is unclear. Here we addressed this by analysing the dynamical properties of Echo State Networks with wiring based on the Drosophila melanogaster fruit fly connectome, compared with sparsity-matched random-wiring networks. We evaluated these networks on a set of eight cognitive tasks, and found that connectome-based neural networks (CoNNs) typically showed narrowly distributed task engagement across their neurons. The importance of a neuron for task performance correlated with its node degree, local clustering, and self-recurrency, and these correlations were stronger in CoNNs than in random networks. CoNNs were more robust to neuronal loss, retaining their task performance and beneficial dynamical properties such as criticality and spectral radius better than random networks. Similarly, CoNNs were more robust to hyperparameter variations in both input and recurrent weight scaling. Using theoretical arguments and numerical simulations, we show that excess CoNN node self-recurrency is sufficient to explain this enhanced robustness. Overall, these results identify non-random features of connectome wiring that allow brains to reconcile extreme sparsity with reliable computation.
### Competing Interest Statement
The authors have declared no competing interest.
Department for the Economy, https://ror.org/0161w0r98, PhD Scholarship
U01.01.079 Vitamin B7 MCQs: Biotin, Carboxylation & Raw Egg White Syndrome
Master the biochemistry of Biotin with our U01.01.079 Vitamin B7 question set. This practice collection covers high-yield medical topics including Biotin as a cofactor for carboxylation enzymes (ABC enzymes). Learn about the clinical manifestations of deficiency, the role of avidin in raw egg whites, and its impact on gluconeogenesis and fatty acid synthesis. Designed for medical students, these free medical questions on mymedschool.org provide essential preparation for USMLE Step 1 and clinical nutrition exams.
U01.01.077 Vitamin B5 MCQs: Pantothenic Acid, Coenzyme A & Metabolic Pathways
Master the biochemistry and clinical significance of Pantothenic Acid with our U01.01.077 Vitamin B5 question set. This practice collection covers high-yield medical topics including Vitamin B5 as an essential component of Coenzyme A (CoA) and Acyl Carrier Protein (ACP). Learn to identify its role in the TCA cycle, fatty acid synthesis, and the rare "burning feet" syndrome. Designed for medical students, these free medical questions on mymedschool.org provide essential preparation for USMLE Step 1 and clinical nutrition exams.
Mitonuclear interactions shape male cuticular hydrocarbon profiles with consequences on mating success
Sexual signals are thought to reflect metabolic capacity, allowing females to assess male genetic quality. In insects, cuticular hydrocarbons (CHCs) are central to mate recognition and sexual signalling, and their biosynthesis is directly tied to mitochondrial metabolism. Because mitochondrial performance requires coordination between the mitochondrial and nuclear genomes, non-compatible genomes may disrupt CHC production and reduce male attractiveness. We tested this prediction using a global Drosophila melanogaster mitonuclear panel comprising 80 cybrid genotypes. Multivariate analyses of male CHC profiles revealed strong nuclear effects, smaller but significant mitochondrial effects, and substantial non-additive mitonuclear interactions that accounted for ~10% of the variance after controlling for body mass. These interactions reorganised CHC blends in genotype-specific ways, with certain hydrocarbons contributing disproportionately to differentiation. In behavioural assays, females preferentially mated with males whose mitonuclear genomes were coadapted. Conversely, coadapted males had higher copulation success than males presenting disrupted combinations to the female. Our results demonstrate that mitonuclear compatibility influences the production of sexual signals and shapes reproductive outcomes, linking genomic interactions to mate choice.
### Competing Interest Statement
The authors have declared no competing interest.
Leverhulme Trust, RPG-2023-198
UK Research and Innovation, NE/V014307/1
mymedschool
Rajdeep Sharma
CBC New Brunswick
flypapers