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      Vasopressin excites interneurons to suppress hippocampal network activity across a broad span of brain maturity at birth

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          Significance

          The transition from placental to lung-based oxygen supply at mammalian birth involves an obligatory period of asphyxia, which is further aggravated by complications during delivery. This oxygen deprivation is a major threat to the fetal brain, and, under such conditions, hormonal and cardiovascular mechanisms are activated to enhance brain perfusion. Our work now demonstrates an intrinsic mechanism in the fetal brain whereby vasopressin activates hippocampal interneurons, leading to desynchronization and suppression of neuronal network activity in species (rat and guinea pig) that are born at widely different stages of brain maturation. Silencing of synchronous neuronal activity by vasopressin is expected to decrease neuronal energy demand and prevent maladaptive synaptic plasticity, thus acting as a pan-mammalian neuroprotective mechanism during birth.

          Abstract

          During birth in mammals, a pronounced surge of fetal peripheral stress hormones takes place to promote survival in the transition to the extrauterine environment. However, it is not known whether the hormonal signaling involves central pathways with direct protective effects on the perinatal brain. Here, we show that arginine vasopressin specifically activates interneurons to suppress spontaneous network events in the perinatal hippocampus. Experiments done on the altricial rat and precocial guinea pig neonate demonstrated that the effect of vasopressin is not dependent on the level of maturation (depolarizing vs. hyperpolarizing) of postsynaptic GABA A receptor actions. Thus, the fetal mammalian brain is equipped with an evolutionarily conserved mechanism well-suited to suppress energetically expensive correlated network events under conditions of reduced oxygen supply at birth.

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          Most cited references59

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          GABA: a pioneer transmitter that excites immature neurons and generates primitive oscillations.

          Developing networks follow common rules to shift from silent cells to coactive networks that operate via thousands of synapses. This review deals with some of these rules and in particular those concerning the crucial role of the neurotransmitter gamma-aminobuytric acid (GABA), which operates primarily via chloride-permeable GABA(A) receptor channels. In all developing animal species and brain structures investigated, neurons have a higher intracellular chloride concentration at an early stage leading to an efflux of chloride and excitatory actions of GABA in immature neurons. This triggers sodium spikes, activates voltage-gated calcium channels, and acts in synergy with NMDA channels by removing the voltage-dependent magnesium block. GABA signaling is also established before glutamatergic transmission, suggesting that GABA is the principal excitatory transmitter during early development. In fact, even before synapse formation, GABA signaling can modulate the cell cycle and migration. The consequence of these rules is that developing networks generate primitive patterns of network activity, notably the giant depolarizing potentials (GDPs), largely through the excitatory actions of GABA and its synergistic interactions with glutamate signaling. These early types of network activity are likely required for neurons to fire together and thus to "wire together" so that functional units within cortical networks are formed. In addition, depolarizing GABA has a strong impact on synaptic plasticity and pathological insults, notably seizures of the immature brain. In conclusion, it is suggested that an evolutionary preserved role for excitatory GABA in immature cells provides an important mechanism in the formation of synapses and activity in neuronal networks.
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            Translating developmental time across mammalian species.

            Conservation of the order in which events occur in developing mammalian brains permits use of regression theory to model the timing of neural development. Following a small adjustment to account for a systematic variability in primate cortical and limbic systems, the model is used to generate a 95-event/nine-species matrix that predicts aspects of neurogenesis and axonal outgrowth in the brains of developing mice, hamsters, rats, spiny mice, rabbits, ferrets, cats, monkeys, and humans. Although data are compiled from species in which the timing of birth and the rate of maturation vary widely, the model proves statistically accurate, with practical implications for improving estimation of milestones of neural development, particularly for humans. Using the three-factor model (species, neural events, and primate adjustments), we produce predictions for the timing of 493 neural occurrences in developing mammalian brains that either have not yet been, or cannot be, empirically derived. We also relate the timing of neural events across the nine species in the form of a reference table calibrated to the development of laboratory rats. This 'translation' table will assist in attempts to equate the neurodevelopmental literature across species with either large or small differences in gestation and maturation, and also permit studies done in a variety of mammals to be applied to better understand human development. The comparative data indicate that humans, although conventionally considered an altricial species, are neurally advanced at birth relative to the other species studied.
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              Translating developmental time across mammalian species

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                12 December 2017
                28 November 2017
                28 November 2017
                : 114
                : 50
                : E10819-E10828
                Affiliations
                [1] aDepartment of Biosciences, University of Helsinki , 00014 Helsinki, Finland;
                [2] bNeuroscience Center, University of Helsinki , 00014 Helsinki, Finland;
                [3] cCNC Program, Stanford University , Stanford, CA 94305;
                [4] dDepartment of Bioengineering, Stanford University , Stanford, CA 94305;
                [5] eDepartment of Bioengineering, Howard Hughes Medical Institute , Stanford University , Stanford, CA 94305;
                [6] fDepartment of Psychiatry, Howard Hughes Medical Institute , Stanford University , Stanford, CA 94305
                Author notes
                2To whom correspondence may be addressed. Email: deissero@ 123456stanford.edu or kai.kaila@ 123456helsinki.fi .

                Contributed by Karl Deisseroth, November 2, 2017 (sent for review October 6, 2017; reviewed by Colin Brown and Enrico Cherubini)

                Author contributions: A.S., P.S., J.V., K.D., and K.K. designed research; A.S., P.S., I.S., M.A.V., J.L., P.U., M.S., A.K.C., B.H., M.P., and E.R. performed research; A.K.C. and K.D. contributed new reagents/analytic tools; A.S., P.S., I.S., M.A.V., J.L., P.U., A.K.C., B.H., M.P., and E.R. analyzed data; and A.S., P.S., M.P., E.R., K.D., and K.K. wrote the paper.

                Reviewers: C.B., University of Otago; and E.C., SISSA, Trieste, Italy.

                1A.S. and P.S. contributed equally to this work.

                Article
                201717337
                10.1073/pnas.1717337114
                5740624
                29183979
                0e1aeca5-56a8-4cb2-b06d-85465e3cf41b
                Copyright © 2017 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 10
                Funding
                Funded by: HHMI
                Award ID: none
                Categories
                PNAS Plus
                Biological Sciences
                Neuroscience
                PNAS Plus

                kcc2,bumetanide,oxytocin,birth asphyxia,gdp
                kcc2, bumetanide, oxytocin, birth asphyxia, gdp

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