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Early‐life experiences and the development of adult diseases with a focus on mental illness: the human birth theory

Maccari, Stefania, Polese, Daniela, Reynaert, Marie-Line, Amici, Tiziana, Morley-Fletcher, Sara, Fagioli, Francesca·2017·Neuroscience

Abstract

In mammals, early adverse experiences, including mother-pup interactions, shape the response of an individual to chronic stress or to stress-related diseases during adult life. This has led to the elaboration of the theory of the developmental origins of health and disease, in particular adult diseases such as cardiovascular and metabolic disorders. In addition, in humans, as stated by Massimo Fagioli's Human Birth Theory, birth is healthy and equal for all individuals, so that mental illness develop exclusively in the postnatal period because of the quality of the relationship in the first year of life. Thus, this review focuses on the importance of programming during the early developmental period on the manifestation of adult diseases in both animal models and humans. Considering the obvious differences between animals and humans we cannot systematically move from animal models to humans. Consequently, in the first part of this review, we will discuss how animal models can be used to dissect the influence of adverse events occurring during the prenatal and postnatal periods on the developmental trajectories of the offspring, and in the second part, we will discuss the role of postnatal critical periods on the development of mental diseases in humans. Epigenetic mechanisms that cause reversible modifications in gene expression, driving the development of a pathological phenotype in response to a negative early postnatal environment, may lie at the core of this programming,…

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Metadata

Authors
Maccari, S., Polese, D., Reynaert, M.-L., Amici, T., Morley-Fletcher, S., & Fagioli, F.
Venue
Neuroscience
Publisher
Elsevier BV
Published
2017-02
Volume
342
Pages
232-251
ISSN
0306-4522
Cited by
87
References
20
Language
en

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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