Computer simulation and interpretation of45Ca efflux profile patterns

Summary Stimulations or inhibitions by various agents of⁴⁵Ca efflux from prelabeled cells or tissues display distinct and reproducible profile patterns when the results are plotted against time as fractional efflux ratios (FER). FER is the fractional efflux of⁴⁵Ca from stimulated cells divided by the fractional efflux from a control unstimulated group. These profile patterns fall into three categories: peak patterns, exponential patterns, and mixed patterns. Each category can be positive (stimulation) or negative (inhibition). The interpretation of these profiles is difficult because⁴⁵Ca efflux depends on three variables: the rate of calcium transport out of the cell, the specific activity of the cell compartment from which the calcium originates, and the concentration of free calcium in this compartment. A computer model based on data obtained by kinetic analyses of⁴⁵Ca desaturation curves and consisting of two distinct intracellular pools was designed to follow the concentration of the traced substance (⁴⁰Ca), the tracer (⁴⁵Ca), and the specific activity of each compartment before, during, and after the stimulation or the inhibition of calcium fluxes at various pool boundaries. The computer model can reproduce all the FER profiles obtained experimentally and bring information which may be helpful to the interpretation of this type of data. Some predictions of the model were tested experimentally, and the results support the views that a peak pattern may reflect a sustained change in calcium transport across the plasma membrane, that an exponential pattern arises from calcium mobilization from an internal subcellular pool, and that a mixed pattern may be caused by a simultaneous change in calcium fluxes at both compartment boundaries.     

Diazoxide and Pinacidil Uncouple Pyruvate–Malate-Induced Mitochondrial Respiration

We investigated the effects of K_ATP channel openers diazoxide and pinacidil on the respiration rate and membrane potential () of rat heart mitochondria, oxidizing pyruvate and malate. Diazoxide and pinacidil (58.8–1348.3 M) increased the V ₂ (-ADP) respiration rate accordingly by 13–208% and 30–273% and decreased the by 2–17% and 6–55%. These effects were also similar in the respiration medium without K⁺. Moreover, carboxyatractyloside completely abolished diazoxide- and pinacidil-induced uncoupling, indicating a role for the mitochondrial adenine nucleotide translocase in this process.     

Theoretical analysis of the binding of iron(III) protoporphyrin IX to 4-methoxyacetophenone thiosemicarbazone via DFT-D3, MEP,QTAIM, NCI,ELF, and LOL studies

Thiosemicarbazones display diverse pharmacological properties, including antimalarial activities. Their pharmacological activities have been studied in depth, but little of this research has focused on their antimalarial mode of action. To elucidate this antimalarial mechanism, we investigated the nature of the interactions between iron(III) protoporphyrin IX (Fe(III)PPIX) and the thione–thiol tautomers of 4-methoxyacetophenone thiosemicarbazone (MAPTSC). Dispersion-corrected density functional theory (DFT-D3), the quantum theory of atoms in molecules (QTAIM), the noncovalent interaction (NCI) index, the electron localization function (ELF), the localized orbital locator (LOL), and thermodynamic calculations were employed in this work. Fe(III)PPIX–MAPTSC binding is expected to inhibit hemozoin formation, thereby preventing Fe(III)PPIX detoxification in plasmodia. Preliminary studies geared toward the identification of atomic binding sites in the thione–thiol tautomers of MAPTSC were carried out using molecular electrostatic potential (MEP) maps and conceptual DFT-based local reactivity indices. The thionic sulfur and the ² N-azomethine nitrogen/thiol sulfur of, respectively, the thione and thiol tautomers of MAPTSC were identified as the most favorable nucleophilic sites for electrophilic attack. The negative values of the computed Fe(III)PPIX–MAPTSC binding energies, enthalpies, and Gibbs free energies are indicative of the existence and stability of Fe(III)PPIX–MAPTSC complexes. MAPTSC–Fe(III) coordinate bonds and strong hydrogen bonds (N–H···O) between the NH₂ group in MAPTSC and the C=O group in one propionate side chain of Fe(III)PPIX are crucial to Fe(III)PPIX–MAPTSC binding. QTAIM, NCI, ELF, and LOL analyses revealed a subtle interplay of weak noncovalent interactions dominated by dispersive-like van der Waals interactions between Fe(III)PPIX and MAPTSC that stabilize the Fe(III)PPIX–MAPTSC complexes.     

Hyophila styriaca Głow.

Ohne Zusammenfassung     

Genetic Variation in Healthy Oldest-Old

Individuals who live to 85 and beyond without developing major age-related diseases may achieve this, in part, by lacking disease susceptibility factors, or by possessing resistance factors that enhance their ability to avoid disease and prolong lifespan. Healthy aging is a complex phenotype likely to be affected by both genetic and environmental factors. We sequenced 24 candidate healthy aging genes in DNA samples from 47 healthy individuals aged eighty-five years or older (the ‘oldest-old’), to characterize genetic variation that is present in this exceptional group. These healthy seniors were never diagnosed with cancer, cardiovascular disease, pulmonary disease, diabetes, or Alzheimer disease. We re-sequenced all exons, intron-exon boundaries and selected conserved non-coding sequences of candidate genes involved in aging-related processes, including dietary restriction (PPARG, PPARGC1A, SIRT1, SIRT3, UCP2, UCP3), metabolism (IGF1R, APOB, SCD), autophagy (BECN1, FRAP1), stem cell activation (NOTCH1, DLL1), tumor suppression (TP53, CDKN2A, ING1), DNA methylation (TRDMT1, DNMT3A, DNMT3B) Progeria syndromes (LMNA, ZMPSTE24, KL) and stress response (CRYAB, HSPB2). We detected 935 variants, including 848 single nucleotide polymorphisms (SNPs) and 87 insertion or deletions; 41% (385) were not recorded in dbSNP. This study is the first to present a comprehensive analysis of genetic variation in aging-related candidate genes in healthy oldest-old. These variants and especially our novel polymorphisms are valuable resources to test for genetic association in models of disease susceptibility or resistance. In addition, we propose an innovative tagSNP selection strategy that combines variants identified through gene re-sequencing- and HapMap-derived SNPs.