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Purpose: Electrocardiogram (ECG) QRS voltages correlate poorly with left ventricular mass (LVM). Body composition explains some of the QRS voltage variability. The relation between QRS voltages, LVM and body composition in endurance athletes is unknown. Methods: Elite endurance athletes from the Pro@Heart trial were evaluated with 12-lead ECG for Cornell and Sokolow-Lyon voltage and product. Cardiac magnetic resonance imaging assessed LVM. Dual energy x-ray absorptiometry assessed fat mass (FM) and lean mass of the trunk and whole body (LBM). The determinants of QRS voltages and LVM were identified by multivariable linear regression. Models combining ECG, demographics, DEXA and exercise capacity to predict LVM were developed. Results: In 122 athletes (19 years, 71.3% male) LVM was a determinant of the Sokolow-Lyon voltage and product (β = 0.334 and 0.477, p < 0.001) but not of the Cornell criteria. FM of the trunk (β = − 0.186 and − 0.180, p < 0.05) negatively influenced the Cornell voltage and product but not the Sokolow-Lyon criteria. DEXA marginally improved the prediction of LVM by ECG (r = 0.773 vs 0.510, p < 0.001; RMSE = 18.9 ± 13.8 vs 25.5 ± 18.7 g, p > 0.05) with LBM as the strongest predictor (β = 0.664, p < 0.001). DEXA did not improve the prediction of LVM by ECG and demographics combined and LVM was best predicted by including VO2max (r = 0.845, RMSE = 15.9 ± 11.6 g). Conclusion: LVM correlates poorly with QRS voltages with adipose tissue as a minor determinant in elite endurance athletes. LBM is the strongest single predictor of LVM but only marginally improves LVM prediction beyond ECG variables. In endurance athletes, LVM is best predicted by combining ECG, demographics and VO2max. [ABSTRACT FROM AUTHOR]

Three-dimensional echocardiography (3DE) is the most accurate cardiac ultrasound technique to assess cardiac structure. 3DE has shown close correlation with cardiac magnetic resonance imaging (CMR) in various populations. There is limited data on the accuracy of 3DE in athletes and its value in detecting alterations during follow-up. Indexed left and right ventricular end-diastolic volume (LVEDVi, RVEDVi), end-systolic volume, ejection fraction (LVEF, RVEF) and left ventricular mass (LVMi) were assessed by 3DE and CMR in two-hundred and one competitive endurance athletes (79% male) from the Pro@Heart trial. Sixty-four athletes were assessed at 2 year follow-up. Linear regression and Bland–Altman analyses compared 3DE and CMR at baseline and follow-up. Interquartile analysis evaluated the agreement as cardiac volumes and mass increase. 3DE showed strong correlation with CMR (LVEDVi r = 0.91, LVEF r = 0.85, LVMi r = 0.84, RVEDVi r = 0.84, RVEF r = 0.86 p < 0.001). At follow up, the percentage change by 3DE and CMR were similar (∆LVEDVi r = 0.96 bias − 0.3%, ∆LVEF r = 0.94, bias 0.7%, ∆LVMi r = 0.94 bias 0.8%, ∆RVESVi r = 0.93, bias 1.2%, ∆RVEF r = 0.87 bias 0.4%). 3DE underestimated volumes (LVEDVi bias − 18.5 mL/m2, RVEDVi bias − 25.5 mL/m2) and the degree of underestimation increased with larger dimensions (Q1vsQ4 LVEDVi relative bias − 14.5 versus − 17.4%, p = 0.016; Q1vsQ4 RVEDVi relative bias − 17 versus − 21.9%, p = 0.005). Measurements of cardiac volumes, mass and function by 3DE correlate well with CMR and 3DE accurately detects changes over time. 3DE underestimates volumes and the relative bias increases with larger cardiac size. [ABSTRACT FROM AUTHOR]

Abstract Background Members of the pacifastin family are serine peptidase inhibitors, most of which are produced as multi domain precursor proteins. Structural and biochemical characteristics of insect pacifastin-like peptides have been studied intensively, but only one inhibitor has been functionally characterised. Recent sequencing projects of metazoan genomes have created an unprecedented opportunity to explore the distribution, evolution and functional diversification of pacifastin genes in the animal kingdom. Results A large scale in silico data mining search led to the identification of 83 pacifastin members with 284 inhibitor domains, distributed over 55 species from three metazoan phyla. In contrast to previous assumptions, members of this family were also found in other phyla than Arthropoda, including the sister phylum Onychophora and the 'primitive', non-bilaterian Placozoa. In Arthropoda, pacifastin members were found to be distributed among insect families of nearly all insect orders and for the first time also among crustacean species other than crayfish and the Chinese mitten crab. Contrary to precursors from Crustacea, the majority of insect pacifastin members contain dibasic cleavage sites, indicative for posttranslational processing into numerous inhibitor peptides. Whereas some insect species have lost the pacifastin gene, others were found to have several (often clustered) paralogous genes. Amino acids corresponding to the reactive site or involved in the folding of the inhibitor domain were analysed as a basis for the biochemical properties. Conclusion The absence of the pacifastin gene in some insect genomes and the extensive gene expansion in other insects are indicative for the rapid (adaptive) evolution of this gene family. In addition, differential processing mechanisms and a high variability in the reactive site residues and the inner core interactions contribute to a broad functional diversification of inhibitor peptides, indicating wide ranging roles in different physiological processes. Based on the observation of a pacifastin gene in Placozoa, it can be hypothesized that the ancestral pacifastin gene has occurred before the divergence of bilaterian animals. However, considering differences in gene structure between the placozoan and other pacifastin genes and the existence of a 'pacifastin gene gap' between Placozoa and Onychophora/Arthropoda, it cannot be excluded that the pacifastin signature originated twice by convergent evolution.

Aim: Blood pressure (BP) responses to exercise are frequently measured, with the concern that greater increases are a marker of disease. We sought to characterize the normal exercise BP response in healthy adults and its relationships with age, sex, and fitness., Methods: 589 participants (median age 46 [IQR 24-56] years, 81% male) underwent cardiopulmonary exercise testing with repeated, automated BP measures. An exaggerated maximal systolic BP (SBPmax) was defined from current guidelines as ≥210 mmHg in males and ≥190 mmHg in females. Individual linear regression analyses defined the relationship between BP and workload (SBP/W-slope and DBP/W-slope). Participants with or without an exaggerated SBPmax and above or below median SBP/W-slope were compared., Results: An exaggerated SBPmax was found in 51% of males and 64% of females and was more prevalent in endurance-trained athletes (males 58%, females 72%, p<0.001). The mean SBP/W-slope was lower in males (0.24±0.10 mmHg/W) than females (0.27±0.12 mmHg/W), p=0.031. In both sexes, peak oxygen uptake (VO2peak) was inversely correlated with SBP/W-slope (p<0.01). Those with an exaggerated SBPmax and below-median SBP/W-slope were 10 years younger and had a 20% higher VO2peak, on average (p<0.001). A non-exaggerated SBPmax and above-median SBP/W-slope was observed in older individuals with the lowest VO2peak., Conclusion: In a large cohort of healthy individuals, an exaggerated SBPmax was common and associated with higher fitness. In contrast, higher SBP indexed to workload was associated with older age, lower fitness, and female sex. Thus, sex, age and fitness should be considered when evaluating BP response to exercise., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Neuroparsins (NPs) are small proteins that were originally discovered in the pars intercerebralis-corpus cardiacum neurosecretory complex of the migratory locust brain. From the desert locust, Schistocerca gregaria, we recently cloned four different transcripts, each coding for a distinct NP-related peptide. In addition to the brain, some NP-like precursor (Scg-NPP) transcripts also occur in a number of peripheral tissues, and their expression levels are controlled in a gender- and stage-dependent manner. Previous studies revealed a close correlation between Scg-NPP transcript levels and the gonotrophic cycle. In the present report, we demonstrate that certain Scg-NPP transcript levels are significantly altered upon injection of juvenile hormone (JH) or 20-hydroxyecdysone (20E) in adult gregarious desert locusts (five days after final ecdysis). While Scg-NPP1 transcript levels did not significantly change as a result of hormone treatment (animals were analyzed 24 h after injection), Scg-NPP2, Scg-NPP3, and Scg-NPP4 displayed hormone-dependent regulation in various tissues. Scg-NPP2 and Scg-NPP3 transcript levels significantly increased in the brain of JH-treated locusts. In addition, JH induction of Scg-NPP3 and Scg-NPP4 transcripts was observed in male fat body and in male and female gonads. Furthermore, 20E injection also induced Scg-NPP2, Scg-NPP3, and Scg-NPP4 transcripts in desert locust gonads. This is the first report showing NP-like precursor gene expression in insect ovaries. Our study indicates that the expression levels of some Scg-NPP transcripts are regulated by developmental hormones, suggesting a close correlation between NP expression and the endocrine control of the reproductive cycle.

Desert locust swarms occasionally cause severe ecological and economic damage, particularly in countries of northwest Africa. However, the physiological mechanisms underlying locust phase transition, the switch of the solitarious to the gregarious phase, remain elusive. Therefore, identification of molecular changes linked to this phenomenon represents a primary requirement to start unraveling this enigma. The present paper provides novel information on phase-related molecular markers for locust phase transition. We present a detailed quantitative real-time RT-PCR analysis of two distinct neuroparsin precursor transcripts (Scg-NPP3 and Scg-NPP4) in the brain and in abdominal tissues of gregarious and solitarious desert locusts (Schistocerca gregaria). Our data reveal different temporal changes of these transcripts in the fat body during the adult stage of both phases. We, hereby, present novel scientific evidence for a phase-dependent regulation of these particular peptide hormone encoding transcripts and assign them as possible molecular markers in the process of locust phase transition.