

24th European Congress of Psychiatry / European Psychiatry 33S (2016) S116–S348
S263
EW425
Neuroleptic effect in aggressive mice
after the transplantation of immune
cells treated in vitro with
chlorpromazine
E. Markova
1 ,∗
, M. Knyazheva
1, T. Shushpanova
21
State Research Institute of Fundamental and Clinical Immunology,
Neuroimmunology Laboratory, Novosibirsk, Russia
2
Mental Health Research Institute, Clinical neuroimmunology and
neurobiology, Tomsk, Russia
∗
Corresponding author.
Introduction
Existence of integration, mutual relations of ner-
vous and immune systems, which cellular elements are character-
ized by expressed phenotype and functional similarity, means the
possibility of immune cells participation in the regulation of higher
nervous activity.
Objectives
Previously, we demonstrated the possibility of tar-
geted regulation of animal’s behavior by the transplantation of
immune cells with definite functional characteristics. Based on the
our previous research results in the present study, we investigated
the modulating effect of the immune cells, treated in vitro with
chlorpromazine on the nervous and immune systems functional
activity in aggressive mice.
Methods
(CBA
×
C57Bl/6) F1 aggressive mice, exposed to 10-
days chronic social stress, were undergoing the transplantation
of immune cells in vitro treated with chlorpromazine. Ani-
mal’s behavioral parameters, cytokines synthesis in the brain and
immune cells before and after transplantation were estimated.
Results
It was shown that aggression is associated with the
increased production of spleen T-helper 1 cell-derived cytokines
IL-2 and IFN , as well as decreased TNF production by the spleen
mononuclear phagocyte cells. These alterations were more pro-
nounced following mitogen stimulation. Spleen cells, obtaining
from aggressive mice, were treated in vitro with chlorpromazine
and then injected intravenously into syngeneic aggressive recipi-
ents. The cell’s transplantation led to the reduction of the recipient’s
motor activity in the “open field” and Porsolt swimming tests
and normalized cytokines synthesis in the brain and immune
cells.
Conclusion
Research results demonstrated the neuroleptic effect
in aggressivemice, obtained by the transplantation of immune cells
treated in vitro with chlorpromazine.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2016.01.543EW426
Impact of anti-inflammatory drugs on
the risk of anxiety disorders after
critical illness
C.R. Medici
1 , 2 ,∗
, S.D. Østergaard
3 , 4, H.T. Sørensen
1,
C.F. Christiansen
11
Aarhus University Hospital, Department of Clinical Epidemiology,
Aarhus, Denmark
2
Aarhus University Hospital, Psychiatric Research Academy,
Department of Affective Disorders, Aarhus, Denmark
3
Aarhus University Hospital, Department of Clinical Medicine,
Aarhus, Denmark
4
Aarhus University Hospital, Research Department P, Aarhus,
Denmark
∗
Corresponding author.
Introduction
Critical illness increases the risk of mental illness,
including anxiety disorders. As critically ill patients exhibit high
levels of inflammation and inflammation plays a role in mental
illness, critical and mental illnesses may be linked by systemic
inflammation.
Objective
To investigate whether anti-inflammatory drugs
reduce the risk of subsequent anxiety disorders among intensive
care patients requiring mechanical ventilation.
Aims
To assess the risk of anxiety disorders after intensive care
requiring mechanical ventilation according to pre-admission use
of non-steroidal anti-inflammatory drugs (NSAID), glucocorticoids,
statins or combination. To compare risk in users with non-users.
Methods
This nationwide, registry-based, cohort study includes
all patients receiving mechanical ventilation in Danish intensive
care units during 2005–2013. Preadmission use of NSAIDs, glu-
cocorticoids, statins or combinations will be identified from filled
prescriptions. Risk of anxiety disorders in users and non-users of
these anti-inflammatory drugs will be estimated using the cumu-
lative incidence method, accounting for death as a competing risk.
After propensity-score matching, risk in users and non-users will
be compared using hazard ratios from a Cox regression.
Results
N/A. The estimated number of patients is 100,000.
Expected preadmission use is 14% for statins, 15% for NSAIDs, and
10% for glucocorticoids. The study will have 95% power to detect a
10% decrease in risk between users and non-users.
Conclusions
N/A. The study potentially will contribute knowl-
edge about the pathogenesis of anxiety disorders and a mechanism
linking critical illness and mental illnesses. If anti-inflammatory
drugs reduce risk of anxiety disorders, this may guide trials.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2016.01.544Psychopathology
EW427
Family functioning and individual
psychopathology in a non-clinical
general population
D. Adamis
1 ,∗
, I. Petmeza
2 , G.McCarthy
3 , A. Tsamparli
41
Sligo Mental Health Services, Psychiatry, Sligo, Ireland
2
National and Kapodistrian University of Athens, Early Childhood
Education, Athens, Greece
3
Sligo Mental Health Services, Sligo Medical Academy, NUI Galway,
Psychiatry, Sligo, Ireland
4
University of the Aegean, Clinical Psychology, Rhodes, Greece
∗
Corresponding author.
Introduction
A family “constructs” an identity of its own derived
from their assumptions about relationships and the social envi-
ronment they live in. This identity transcends the individual while
at the same time encourages individual differentiation. Family
functioning is influenced from different factors like social context,
qualitative characteristics, and from individual’s medical or psychi-
atric condition.
Aims and objectives
To examined the effects of sociodemographic
factors and individual psychopathology on the function of family
in a non-clinical sample.
Methods
Cross-sectional study of participants and their families.
The follow data collected:
–demographics (age, gender, occupation, education);
–description of the family (number ofmembers, single parents fam-
ily, adoption);
–history of mental or physical illnesses;
–Family Assessment Device (FAD);
–Symptom Checklist-90 (SCL-90).
Results
The sample constituted of 151 families, (453 individuals),
in 48 families, 2 family members participated, in 56 families, 3
members participated, in 46 families 4 members participated and