2 results
Symptoms of Anxiety During Pregnancy and Metabolism: A Pilot Metabolomics Study
- E. Toffol, A.P. Elomaa, V. Glover, P. Kivimäki, M. Pasanen, L. Keski-Nisula, P. Huuskonen, S. Voutilainen, V. Velagapudi, S. Lehto
-
- Journal:
- European Psychiatry / Volume 41 / Issue S1 / April 2017
- Published online by Cambridge University Press:
- 23 March 2020, p. S169
-
- Article
-
- You have access Access
- Export citation
-
Introduction
Anxiety symptoms are frequent during pregnancy, and they adversely affect pregnancy outcomes and offspring development. The underlying biological mechanisms are not known, but may in part be explained by alterations in certain maternal metabolic pathways. No metabolomic studies have investigated possible metabolic alterations in anxious pregnant women.
ObjectiveThis pilot study compared the metabolic profiles of anxious and non-anxious pregnant women using a mass spectrometry-based quantitative metabolomics system.
MethodsCases were 20 participants of the Kuopio birth cohort study (www.kubico.fi) with first and third trimester symptoms of anxiety (Edinburgh postnatal depression scale, anxiety subscale – EPDS-3A ≥ 4), but no depression (EPDS ≤ 12). Controls were 20 participants with low anxiety (EPDS–3A ≤ 3) and depression (total EPDS ≤ 9) in both the first and third trimester. Maternal metabolic profiles were analyzed from serum samples drawn when the mothers arrived at the delivery hospital.
ResultsMetabolic pathway analyses revealed significant enrichment in the glycine, serine and threonine metabolism (P = 0.046), as well as in the betaine (P = 0.048) metabolism pathways. Homocysteine was the only metabolite to significantly differentiate between cases and controls (VIP score 3.3), with lower concentrations in cases (P = 0.003) even when excluding non-users of folic acid supplementation (n = 5; P = 0.002), C-sections (n = 5; P = 0.013), or samples taken immediately postpartum (n = 2; P = 0.004). No other metabolites significantly differed between the groups.
ConclusionsPhysiological adaptation induced by pregnancy, which may have homogenized the study populations, could explain the only minor metabolic differences between the two groups. Further research in larger samples, comparing metabolic alterations in umbilical cord blood and maternal blood is warranted.
Disclosure of interestThe authors have not supplied their declaration of competing interest.
4 - Computing and information storage solutions
-
- By P. Pasanen, Nokia Research Center, M. A. Uusitalo, Nokia Research Center, V. Ermolov, Nokia Research Center, J. Kivioja, Nokia Research Center, C. Gamrat, Cea-List
- Tapani Ryhänen, Mikko A. Uusitalo, Olli Ikkala, Asta Kärkkäinen
-
- Book:
- Nanotechnologies for Future Mobile Devices
- Published online:
- 05 July 2014
- Print publication:
- 11 February 2010, pp 76-120
-
- Chapter
- Export citation
-
Summary
Introduction
The mobile devices of the future are expected to be able to communicate with each other wirelessly at ever increasing data rates, and to be able to run a vast number of applications, with a great need for more computational speed and power. Indeed, it is fore seeable that approaching data rates of gigabits per second can alone be a challenge: large bandwidths in the gigahertz range and increased complexity in interference cancelation and error correction coding, combined with cognitive radio and multiple antenna techniques could lead to computing and power consumption needs that are extremely challenging with current conventional methods or any of their expected evolutions. To combat this, there has been a resurgence of interest in application-specific processing, instead of general all-purpose processors. One suggestion for possible future mobile phone architecture is based on the so-called network-on-terminal architecture (NoTA) [74], pictured in Figure 4.1, where different subsystems can be connected via standardized interconnects. Each subsystem consists of computing and memory elements, targeted at specific applications. This will allow more freedom in the design of the subsystem processors, and therefore ease the introduction of novel computing technologies into mobile phones, perhaps some of which could be based on new nanotechnology-enabled computing elements.
Nanocomputing has been attracting a lot of attention since the arrival of efficient tools for nanoscale manipulation of matter. The hope is that the new opportunities provided by nanotechnology will provide faster computation and signal processing systems so that challenging computational problems can be solved more efficiently, possibly using new computational principles.