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Objectives: Explore the relationship between the recalled bond of pregnant women to their own mothers and the development of prenatal attachment., Methods: Women with a single-fetal pregnancy who consulted the outpatient service of the maternity "C" ward of the center of maternity and neonatology of Tunis and had perceived fetal movements were included. Maternal-fetal attachment was assessed by the Prenatal Attachment Inventory (PAI), and the Parental Bonding Instrument (PBI) was used to evaluate experienced bond to mother. Socio demographic and clinical data were collected on a pre-established form., Results: Eighty respondents were retained from 95 recruited pregnant women. Their ages ranged from 19 to 44 with an average of 32 years. The rate of primiparity was of 28.7 % and half of pregnancies were identified at risk. The mean score of PAI was 55.3 (ET=10.79). Means scores of PBI "care" dimension and "overprotection" dimension were respectively of 26.26 (ET=5.82) and 17 (ET=6.38). The four types of maternal bonding according to the PBI scores were distributed as follow: affectionate constraint (31.3 %), affectionless control (35 %), optimal bonding (21.3 %) and weak bonding (12.5 %). The two PBI dimensions "care" and "overprotection" were significantly and negatively correlated (P<0.05). The PAI scores were not correlated with the PBI "care" dimension scores but were significantly and negatively correlated with the "overprotection" dimension scores (P<0.,01). In order to better explore this association, the "overprotection" dimension scores were studied according to the 21 items of the PAI. A negative and significant correlation was found only with three of the PAI items: item 12 (P<0;01), 15, and 20 (P<0;05)., Conclusions: Our findings suggest that pregnant women whose mothers showed more overprotective and controlling behaviors could be at risk of developing a weak maternofetal attachment. Further research is needed., (Copyright © 2021 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.)

Robust assessments of the nonclinical safety profile of biopharmaceuticals are best developed on a scientifically justified, case-by-case basis, with consideration of the therapeutic molecule, molecular target, and differences/similarities between nonclinical species and humans (ICH S6). Significant experience has been gained in the 10 years ensuing since publication of the ICH S6 guidance. In a PhRMA-FDA-sponsored workshop, "Nonclinical Aspects of Biopharmaceutical Development," industry and US regulatory representatives engaged in exploration of current scientific and regulatory issues relating to the nonclinical development of biopharmaceuticals in order to share scientific learning and experience and to work towards establishing consistency in application of general principles and approaches. The proceedings and discussions of this workshop confirm general alignment of strategy and tactics in development of biopharmaceuticals with regard to such areas as species selection, selection of high doses in toxicology studies, selection of clinical doses, the conduct of developmental and reproductive toxicity (DART) studies, and assessment of carcinogenic potential. However, several important aspects, including, for example, appropriate use of homologues, nonhuman primates, and/or in vitro models in the assessment of risk for potential developmental and carcinogenic effects, were identified as requiring further scientific exploration and discussion.

The prevalence of heart failure increases with age. Although the benefit of cardiac rehabilitation has been well demonstrated, in particular for what concerns improved effort tolerance, data in the geriatric population is scarce. A supervised inpatient cardiac rehabilitation program has started in September 2004 at the Hôpital de gériatrie in Geneva. By March 2005, 34 out of 50 participants (mean age of 87 years) had completed the program. The results showed a significant increase in the distance walked at the 6-minute test (+ 68,5 m, P<0,001) and a decreased level of anxiety that facilitated the return home. It will be necessary to evaluate the impact of these encouraging results on the readmission rate and on the longterm functional capacity.

A method for fitting experimental sedimentation velocity data to finite-element solutions of various models based on the Lamm equation is presented. The method provides initial parameter estimates and guides the user in choosing an appropriate model for the analysis by preprocessing the data with the G(s) method by van Holde and Weischet. For a mixture of multiple solutes in a sample, the method returns the concentrations, the sedimentation (s) and diffusion coefficients (D), and thus the molecular weights (MW) for all solutes, provided the partial specific volumes (v) are known. For nonideal samples displaying concentration-dependent solution behavior, concentration dependency parameters for s(sigma) and D(delta) can be determined. The finite-element solution of the Lamm equation used for this study provides a numerical solution to the differential equation, and does not require empirically adjusted correction terms or any assumptions such as infinitely long cells. Consequently, experimental data from samples that neither clear the meniscus nor exhibit clearly defined plateau absorbances, as well as data from approach-to-equilibrium experiments, can be analyzed with this method with enhanced accuracy when compared to other available methods. The nonlinear least-squares fitting process was accomplished by the use of an adapted version of the "Doesn't Use Derivatives" nonlinear least-squares fitting routine. The effectiveness of the approach is illustrated with experimental data obtained from protein and DNA samples. Where applicable, results are compared to methods utilizing analytical solutions of approximated Lamm equations.

Synthetic sedimentation velocity boundaries were generated using finite-element solutions to the original and modified forms of the Lamm equation. Situations modeled included ideal single- and multicomponent samples, concentration-dependent samples, noninteracting multicomponent samples, and reversibly self-associating samples. Synthetic boundaries subsequently were analyzed using the method of van Holde and Weischet, and results were compared against known input parameters. Results indicate that this analytical method provides rigorous diagnostics for virtually every type of sample complexity encountered experimentally. Accordingly, both the power and utility of sedimentation velocity experiments have been significantly expanded.