Can neonatal beta-adrenergic stimulation prevent the effects of androgenization in female rats?

A 25 micrograms dose of testosterone propionate injected at 4 days of age induced 90% anovulation at 100 days of age. The systemic administration of orciprenaline (8 or 16 micrograms) or yohimbine (100 micrograms) did not prevent androgenization. Twenty-five or fifty micrograms of orciprenaline injected intraventricularly reduced only partially (to 54 and 67% respectively) the effectiveness of androgenization. We concluded that beta-adrenergic receptor stimulation had a very limited ability to prevent androgenization, since the beta-stimulation obtained directly with orciprenaline prevented androgenization to a very limited extent, while the possible indirect stimulation through an increase in norepinephrine endogenous release by alpha-2 receptor blocker yohimbine was ineffective.     

Can insulin-treated diabetics be given beta-adrenergic blocking drugs?

Lack of awareness of hypoglycaemia leading to loss of consciousness is a serious problem in some insulin-treated diabetics, and beta-blocking drugs may increase this hazard. A prospective study was therefore carried out over eight months to determine the incidence of hypoglycaemic episodes in 50 insulin-treated diabetics taking beta-blockers, as compared with 100 diabetic controls matched for age, sex, and duration of diabetes. The incidence of loss of consciousness from hypoglycaemia was the same in both groups and was unrelated to the dose of beta-blocking drug used. Five patients taking beta-blockers and 10 controls had episodes of unconsciousness, but four of these patients taking beta-blockers had had similar episodes in the two years preceding treatment. It is concluded that beta-blocking drugs are generally safe in insulin-treated diabetics and that hypoglycaemic unconsciousness resulting from their use is rare.     

Chemoproteomic profiling of protein–metabolite interactions

Small molecule metabolites play important roles in regulating protein functions, which are acted through either covalent non-enzymatic post-translational modifications or non-covalent binding interactions. Chemical proteomic strategies can help delineate global landscapes of cellular protein–metabolite interactions and provide molecular insights about their mechanisms of action. In this review, we summarized the recent progress in developments and applications of chemoproteomic strategies to profile protein–metabolite interactions.     

Are beta-adrenergic receptors in the hippocampal CA1 region required for retrieval of contextual fear memory?

It is well established that β-adrenoceptors (β-ARs) in the hippocampal CA1 region are involved in regulating synaptic plasticity and are essential for acquisition and consolidation of spatial memory and contextual fear memory. Previous studies reported that β-ARs in the CA1 region are also involved in memory retrieval. The present study re-examined the role of hippocampal β-ARs in retrieval of conditioned contextual fear. We bilaterally infused a high dose of the β-AR antagonist propranolol (15 μg in 1 μl saline) into the CA1 region 30 min before retention test and found that propranolol produced no deficit in retrieval of either 1-day or 7-day contextual fear. We then examined if β-AR stimulation would produce a beneficial effect. The β-AR agonist isoproterenol (10 μg in 1 μl saline) was infused into the CA1 region 30 min before retention test. Surprisingly, isoproterenol did not enhance but severely disrupted retrieval of 7-day contextual fear memory, with no impact on retrieval of 1-day contextual fear memory. The present study argues against the previous conclusion that β-ARs in the CA1 region play a role in memory retrieval. β-ARs in the CA1 region may be dispensable for retrieval of conditioned contextual fear.     

GABA in plants: just a metabolite?

For decades, GABA in plants has been treated merely as a metabolite, mostly in the context of the response to stress. Recent evidence from the exploitation of Arabidopsis functional genomic tools points towards a new possible role of GABA as a signal molecule and provides further insights into the role of the GABA metabolic pathway in response to stress and carbon:nitrogen metabolism. The challenge now is to uncouple the signaling and metabolic roles of GABA, and to identify the molecular components and their mode of action.     

Does metabolite deficiency mark oncogenic cell cycles?

Genome instability occurs early in the development of most cancers. Bester et?al. now provide evidence that oncogenic signals trigger cell division without coordinate nucleotide synthesis, engendering aberrant DNA replication and damage that could promote carcinogenesis. A mismatch between proliferation and metabolite production may characterize oncogenic cell cycles.     

Synthesis of deuterium labeled ketamine metabolite dehydronorketamine-d₄

A convenient synthesis of ketamine metabolite dehydronorketamine-d(4), starting from commercially available deuterium labeled bromochlorobenzene, was achieved. Key steps include Grignard reaction, regioselective hydroxybromination, Staudinger reduction, and dehydrohalogenation.     

Mass—Energy balance of primary metabolite formation

Mass—energy balance of the formation of selected primary metabolites was calculated on the basis of an analysis of experimental and literature data. Use of the balance equations for the determination of stoichiometric coefficients, thermodynamic efficiencies and fermentation heat is practically illustrated. Translated by Č. Novotny     

Targeted and proteome-wide analysis of metabolite–protein interactions

Understanding the molecular mechanisms of endogenous and environmental metabolites is crucial for basic biology and drug discovery. With the genome, proteome, and metabolome of many organisms being readily available, researchers now have the opportunity to dissect how key metabolites regulate complex cellular pathways in vivo. Nonetheless, characterizing the specific and functional protein targets of key metabolites associated with specific cellular phenotypes remains a major challenge. Innovations in chemical biology are now poised to address this fundamental limitation in physiology and disease. In this review, we highlight recent advances in chemoproteomics for targeted and proteome-wide analysis of metabolite–protein interactions that have enabled the discovery of unpredicted metabolite–protein interactions and facilitated the development of new small molecule therapeutics.     

Are beta-adrenergic receptors in ventricular muscles of carp heart (Cyprinus carpio) mostly the beta-2 type?

The positive inotropic effect of isoproterenol was quantified in the presence of several beta-adrenergic blocking agents in ventricular strips of carp heart. Isoproterenol had a concentration-dependent positive inotropic effect. The effect was markedly inhibited by propranolol and carteolol, but was extremely insensitive to atenolol. Practolol totally failed to alter the effect. These results indicated that the positive inotropic effect of isoproterenol may be mediated by mostly beta-2 adrenergic receptors in ventricular strips of carp heart.     

Use of chemical ionization for GC–MS metabolite profiling

Metabolite profiling is commonly performed by GC–MS of methoximated trimethylsilyl derivatives. The popularity of this technique owes much to the robust, library searchable spectra produced by electron ionization (EI). However, due to extensive fragmentation, EI spectra of trimethylsilyl derivatives are commonly dominated by trimethylsilyl fragments (e.g. m/z 73 and 147) and higher m/z fragment ions with structural information are at low abundance. Consequently different metabolites can have similar EI spectra, and this presents problems for identification of “unknowns” and the detection and deconvolution of overlapping peaks. The aim of this work is to explore use of positive chemical ionization (CI) as an adjunct to EI for GC–MS metabolite profiling. Two reagent gases differing in proton affinity (CH₄ and NH₃) were used to analyse 111 metabolite standards and extracts from plant samples. NH₃-CI mass spectra were simple and generally dominated by [MH]⁺ and/or the adduct [M+NH₄]⁺. For the 111 metabolite standards, m/z 73 and 147 were less than 3% of basepeak in NH₃-CI and less than 30% of basepeak in CH₄-CI. With CH₄-CI, [MH]⁺ was generally present but at lower relative abundance than for NH₃-CI. CH₄-CI spectra were commonly dominated by losses of CH₄ [M+1-16]⁺, 1–3 TMSOH [M+1-nx90]⁺, and combinations of CH₄ and TMSOH losses [M+1-nx90-16]⁺. CH₄-CI and NH₃-CI mass spectra are presented for 111 common metabolites, and CI is used with real samples to help identify overlapping peaks and aid identification via determination of the pseudomolecular ion with NH₃-CI and structural information with CH₄-CI.

     

Use of chemical ionization for GC–MS metabolite profiling

Metabolite profiling is commonly performed by GC–MS of methoximated trimethylsilyl derivatives. The popularity of this technique owes much to the robust, library searchable spectra produced by electron ionization (EI). However, due to extensive fragmentation, EI spectra of trimethylsilyl derivatives are commonly dominated by trimethylsilyl fragments (e.g. m/z 73 and 147) and higher m/z fragment ions with structural information are at low abundance. Consequently different metabolites can have similar EI spectra, and this presents problems for identification of “unknowns” and the detection and deconvolution of overlapping peaks. The aim of this work is to explore use of positive chemical ionization (CI) as an adjunct to EI for GC–MS metabolite profiling. Two reagent gases differing in proton affinity (CH₄ and NH₃) were used to analyse 111 metabolite standards and extracts from plant samples. NH₃-CI mass spectra were simple and generally dominated by [MH]⁺ and/or the adduct [M+NH₄]⁺. For the 111 metabolite standards, m/z 73 and 147 were less than 3% of basepeak in NH₃-CI and less than 30% of basepeak in CH₄-CI. With CH₄-CI, [MH]⁺ was generally present but at lower relative abundance than for NH₃-CI. CH₄-CI spectra were commonly dominated by losses of CH₄ [M+1-16]⁺, 1–3 TMSOH [M+1-nx90]⁺, and combinations of CH₄ and TMSOH losses [M+1-nx90-16]⁺. CH₄-CI and NH₃-CI mass spectra are presented for 111 common metabolites, and CI is used with real samples to help identify overlapping peaks and aid identification via determination of the pseudomolecular ion with NH₃-CI and structural information with CH₄-CI.     

Metabolomics and metabolite profiling — can we achieve the goal?

Deciphering of the plant metabolome is one of the most difficult analytical tasks in functional genomic research. Studies directed at the gene or protein expression are well established, sequencing analyses of these kinds of biopolymers on genome or proteome level are possible. This is not the case for metabolites, where identification in single sample of many chemical entities of different elemental composition and structures and various physicochemical properties is necessary. Different instrumental methods are applied for identification of metabolites but none of them allows obtaining unambiguous structural information about more than 500 compounds in single mixture (metabolite profiling). This is a much smaller number of metabolites than is predicted for single plant metabolome. However, instrumental approaches were proposed (metabolite fingerprinting) in which biochemical phenotype of an organism may be estimated, but identification of individual compounds is not possible.