The impact of diabetes on cyclic nucleotide-associated mechanisms regulating skeletal muscle protein and amino acid metabolism was assessed using epitrochlaris preparations from streptozotocin-induced diabetic rats. 1 nM epinephrine inhibited alanine and glutamine release from control preparations, but no inhibition was observed from diabetic preparations with <0.1 mM. 10 nM epinephrine stimulated lactate production from control muscle but stimulation in diabetic preparations was observed only at 0.1 mM. Serotonin inhibited amino acid release and stimulated lactate production equally in control and diabetic muscle. 0.1 mM epinephrine increased cyclic (c)AMP levels by 360% in control muscles, but these levels were increased only 83% in diabetic muscle. Basal-, fluoride-, and serotonin-stimulated adenylyl cyclase activities were equal in membrane preparations of diabetic and control muscle, but epinephrine-stimulated adenylyl cyclase was reduced by 60% in diabetic muscle. Carbamylcholine stimulation of alanine and glutamine release was blunted in diabetic preparations. Carbamylcholine increased cGMP levels in control but not in diabetic muscle. In diabetic muscle, guanylyl cyclase activity was 65% of control and the stimulation of cyclase activity by sodium azide was less in diabetic than control preparations. Added cGMP stimulated alanine and glutamine release from control, but not from diabetic muscle. These data suggest a loss of adrenergic and cholinergic responsiveness in diabetic muscle. Because amino acid release also showed a decreased responsiveness to added cAMP and cGMP, the presence of other derangements in the mechanism(s) of cyclic nucleotide regulation of muscle amino acid metabolism also seems likely.
Alan J. Garber
Usage data is cumulative from September 2023 through September 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 93 | 0 |
67 | 16 | |
Scanned page | 301 | 1 |
Citation downloads | 47 | 0 |
Totals | 508 | 17 |
Total Views | 525 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.