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Applied pharmacogenetics to predict response to treatment of first psychotic episode: study protocol

Abstract

This study (PMP21/00085) was funded by Instituto de Salud Carlos III (ISCIII) and funded by the European Union (NextGenerationUE- Recovery and Resilence Facility); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM); Catalan Government, the Secretariat of Universities and Research of the Department of Enterprise and Knowledge (2021 SGR 00672). The “Programa Asistencial de las Fases Iniciales de Psicosis” (PAFIP) was carried out at the Hospital Marqués de Valdecilla, University of Cantabria, Santander, Spain, under the following grant supports: Instituto de Salud Carlos III (Instituto de Salud Carlos III PI020499, PI050427, PI060507, PI14/00639 and PI14/00918); Plan Nacional de Drogas Research (2005-Orden sco/3246/2004); SENY Fundació (CI 2005–0308007); and Fundación Marqués de Valdecilla (API07/011); ClinicalTrials.gov Identifier: NCT03090490, NCT02916303, NCT02205437, NCT0253249, NCT02858102, NCT02220504, NCT02534363, NCT02526030. The PEPS cohort has been funded by the Ministerio de Economía y Competitividad (PI08/0208; PI11/00325; PI14/00612; PI20/00661; PI20/00661), Instituto de Salud Carlos III – Fondo Europeo de Desarrollo Regional. Unión Europea. Una manera de hacer Europa, Centro de Investigación Biomédica en Red de salud Mental, CIBERSAM.

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Applied pharmacogenetics to predict response to treatment of first psychotic episode: study protocol

Author: Mas, Sergi,Julià, Laura,Cuesta Rioboo, Manuel Jorge,Crespo-Facorro, Benedicto,Vázquez-Bourgon, Javier,Spuch, Carlos,González-Pinto, Ana,Ibáñez, Angela,Usall, Judith,Romero-López-Alberca, Cristina,Catalán, Ana,Mané, Anna,Bernardo, Miquel
Publisher: Frontiers Media
DOI: http://dx.doi.org/10.13039/501100002809
Source: https://digital.csic.es/bitstream/10261/384434/1/first-psychotic-episode.pdf
Applied pha macogene ics o
p edic esponse o ea men
o fi s psycho ic episode:
s udy p o ocol
Se gi Mas
1,2,3
*, Lau a Julià
2
, Manuel J. Cues a
3,4,5
,
Benedic o C espo-Faco o
3,6,7,8
, Ja ie Va
´zquez-Bou gon
3,9,10
,
Ca los Spuch
3,11
, Ana Gonzalez-Pin o
3,12
, Angela Ibañez
3,13
,
Judi h Usall
14,15
, C is ina Rome o-Lo
´pez-Albe ca
3,16
,
Ana Ca alan
3,17,18,19,20
, Anna Mane
´
3,21,22,23
and Miquel Be na do
2,3,24,25
1
Depa men o Clinical Founda ions, Pha macology Uni , Uni e si y o Ba celona, Ba celona, Spain,
2
Ins i u d’in es igacions Biomèdiques Augus Pi i Sunye (IDIBAPs), Ba celona, Spain,
3
Cen o de
In es igación Biomédica en Red en Salud Men al (CIBERSAM), Mad id, Spain,
4
Depa amen o de
Psiquia ı
´a, Hospi al Uni e si a io de Na a a, Pamplona, Spain,
5
Ins i u o de In es igacio
´n Sani a ia de
Na a a (IdiSNA), Pamplona, Spain,
6
Unidad de Ges ión Clínica de Salud Men al, Hospi al Uni e si a io
Vi gen del Rocı
´o, Se illa, Spain,
7
Ins i u o de Biomedicina de Se illa (IBiS), Hospi al Uni e si a io VI gen
del Rocio/Cen o Supe io de In es igaciones Cine íficas (HUVR/CSIC)/Uni e sidad de Se illa,
Se ille, Spain,
8
Depa men o Psychia y, Uni e sidad de Se illa, Se ille, Spain,
9
Depa amen o de
Psiquai ia, Ma que
´s de Valdecilla Uni e si y Hospi al –IDIVAL, San ande , Spain,
10
Depa amen o de
Medicina y Psiquia ia, Uni e sidad de Can ab ia, San ande , Spain,
11
T ansla ional Neu oscience
Resea ch G oup, Galicia Su Heal h Resea ch Ins i u e (IIS-Galicia Su ), Se izo Galego de Saúde/
Uni e sidad de Vigo (SERGAS-UVIGO), Vigo, Spain,
12
BIOARABA, Depa men Psychia y, Hospi al
Uni e si a io Ala a, Uni e sidad del Paı
´s Vasco/Euskal He iko Unibe si a ea Vi o ia (UPV/EHU),
Vi o ia, Spain,
13
Depa men o Psychia y, Hospi al Uni e si a io Ramo
´n y Cajal, Uni e sidad de Alcala
´,
Ins i u o Ramón y Cajal de In es igación Sani a ia (IRYCIS), Mad id, Spain,
14
Ins i u de Rece ca San
Joan de De
´u, Esplugues de Llob ega , Ba celona, Spain,
15
Cen e de Salu Men al, Pa c Sani a i San
Joan de De
´u, San Boi de Llob ega , Ba celona, Spain,
16
Depa amen de Ciències Expe imen als i de
la Salu , Depa men o Psychology, Uni e si y o Cadiz, Cádiz, Spain,
17
Psychia y Depa men ,
Basu o Uni e si y Hospi al, Osakide za, Basque Heal h Se ice, Bilbao, Spain,
18
Biobizkaia Heal h
Resea ch Ins i u e, OSI Bilbao-Basu o, Bilbao, Spain,
19
Neu oscience Depa men , Uni e si y o he
Basque Coun y, Leioa, Spain,
20
Depa men o Psychosis S udies, Ins i u e o Psychia y, Psychology
& Neu oscience, King’s College London, London, Uni ed Kingdom,
21
Ins i u de Salud Men al, Hospi al
del Ma , Ba celona, Spain,
22
Hospi al del Ma Resea ch Ins i u e, Ba celona, Spain,
23
Uni e si a
Pompeu Fab a (UPF), Ba celona, Spain,
24
Ba celona Clinic Schizoph enia Uni , Hospi al Clı
´nic de
Ba celona, Ba celona, Spain,
25
Depa amen de Medicina, Ins i u de Neu ociències (UBNeu o),
Uni e si a de Ba celona (UB), Ba celona, Spain
The applica ion o pe sonalized medicine in pa ien s wi h fi s -episode psychosis
(FEP) equi es ools o classi yingpa ien sacco ding o hei esponse o
ea men , conside ing bo h ea men e ficacy and oxici y. Howe e , se e al
limi a ions ha e hinde ed i s ansla ion in o clinical p ac ice. He e, we desc ibe
he a ionale, aims and me hodology o Applied Pha macogene ics o P edic
Response o T ea men o Fi s Psycho ic Episode ( he Fa maPRED-PEP p ojec ),
which aims o de elop and alida e p edic i e algo i hms o classi y FEP pa ien s
acco ding o hei esponse o an ipsycho ics, he eby allowing he mos
app op ia e ea men s a egy o be selec ed. These p edic o s will in eg a e,
h ough machine lea ning echniques, pha macogene ic (measu ed as polygenic
isk sco es) and epigene ic da a oge he wi h clinical, sociodemog aphic,
en i onmen al, and neu oana omical da a. To do his, he Fa maPRED-PEP
p ojec will use da a om wo al eady ec ui ed coho s: he PEPS coho om
he “Geno ype-Pheno ype In e ac ion and En i onmen . Applica ion o a
F on ie s in Psychia y on ie sin.o g01
OPEN ACCESS
EDITED BY
Michal Assa ,
Olin Neu opsychia y Resea ch Cen e
(ONRC), Uni ed S a es
REVIEWED BY
Je ey Bishop,
Uni e si y o Minneso a Twin Ci ies,
Uni ed S a es
Jacopo Sapienza,
San Ra aele Scien ific Ins i u e (IRCCS), I aly
*CORRESPONDENCE
Se gi Mas
[email p o ec ed]
RECEIVED 17 Sep embe 2024
ACCEPTED 10 Decembe 2024
PUBLISHED 07 Janua y 2025
CITATION
Mas S, Julià L, Cues a MJ, C espo-Faco o B,
Va
´zquez-Bou gon J, Spuch C,
Gonzalez-Pin o A, Ibañez A, Usall J,
Rome o-Lo
´pez-Albe ca C, Ca alan A,
Mane
´A and Be na do M (2025) Applied
pha macogene ics o p edic esponse
o ea men o fi s psycho ic
episode: s udy p o ocol.
F on . Psychia y 15:1497565.
doi: 10.3389/ psy .2024.1497565
COPYRIGHT
©2025Mas,Julià,Cues a,C espo-Faco o,
Va
´zquez-Bou gon, Spuch, Gonzalez-Pin o,
Ibañez, Usall, Rome o-Lo
´pez-Albe ca, Ca alan,
Mane
´andBe na do.Thisisanopen-access
a icle dis ibu ed unde he e ms o he
C ea i e Commons A ibu ion License (CC BY).
The use, dis ibu ion o ep oduc ion in o he
o ums is pe mi ed, p o ided he o iginal
au ho (s) and he copy igh owne (s) a e
c edi ed and ha he o iginal publica ion in
his jou nal is ci ed, in acco dance wi h
accep ed academic p ac ice. No use,
dis ibu ion o ep oduc ion is pe mi ed
which does no comply wi h hese e ms.
TYPE S udy P o ocol
PUBLISHED 07 Janua y 2025
DOI 10.3389/ psy .2024.1497565
P edic i e Model in Fi s Psycho ic Episodes”s udy ( he PEPs s udy om he
Spanish abb e ia ion) (N=335) and he PAFIP coho om “Clinical P og am on
Ea ly Phases o Psychosis”(PAFIP om he Spanish abb e ia ion) (N = 350). These
coho s will be used o c ea e he p edic o , which will hen be alida ed in a new
coho , he Fa maPRED coho (N = 300). The Fa maPRED-PEP p ojec has been
designed o o e come se e al o he limi a ions iden ified in pha macogene ic
s udies in psychia y: (1) he sample size; (2) he pheno ype he e ogenei y and i s
defini ion; (3) he complexi y o he pheno ype and (4) he gende pe spec i e.
The global each o he Fa maPRED-PEP p ojec is o acili a e he e ec i e
deploymen o p ecision medicine in na ional heal h sys ems.
KEYWORDS
pe sonalized medicine, an ipsycho ic, p edic ion, psychosis, Pha macogene ics
In oduc ion
Schizoph enia (SZ) is he mos pa adigma ic psycho ic diso de .
The cou se o he illness is o en ch onic and highly a iable,
causing a significan loss o quali y o li e o he pa ien and hei
amily membe s (1). I also has a high cos o socie y, accoun ing
o 10% o he global bu den o men al diso de s in Eu ope (2).
The e is g ea a iabili y in he e ficacy o an ipsycho ic d ugs (APs)
in he ea men o SZ as well as in he suscep ibili y o pa ien s o
he side e ec s o hese d ugs. On a e age, be ween 20% and 30% o
pa ien s do no espond app op ia ely o AP ea men and less han
40% achie e symp om emission (3), wi h a 70% ea men
discon inua ion a e. This leads o elapses ha en ail new
admissions, he eby wo sening he p ognosis, nega i ely a ec ing
he pa ien ’s quali y o li e, and educing li e expec ancy (4).
Fu he mo e, app oxima ely 30% o pa ien s de elop ea men -
esis an SZ (TRS). I is essen ial o elucida e he unde lying
pa hophysiology o TRS o iden i y bioma ke s o i s ea ly
de ec ion and ea men . As an example, plasma le els o
me aboli es in ol ed in he Kynu enine pa hway, a he c oss oad
be ween neu oinflamma ion and glu ama e gic neu o ansmission,
has been p oposed as bioma ke o TRS (5). Howe e , he a es o
long- e m eco e y o fi s -episode psychosis (FEP) a e mo e
a o able since abou 51% o pa ien s may achie e ei he
symp oma ic, unc ional, and pe sonal eco e y (6). Selec ing he
bes compound o each pa ien is a challenging p ocedu e (7), and
i s selec ion, un o una ely, la gely elies on clinical expe ience and
a ial-and-e o s a egy ha exposes he pa ien s o a highe isk o
ad e se eac ions, p olongs he eco e y ime, and wo sens he
long- e m esponse (8).
In his con ex , he sea ch o bioma ke s o selec he mos
sui able AP o each pa ien in he ea ly s ages is a p io i y a ea in
psychia y (9). Pha macogene ics (PGx) has become one o he
main ools in his sea ch o bioma ke s (3). Howe e , PGx esul s
a e cha ac e ized by a lack o eplicabili y, hus limi ing hei
ansla ion in o clinical p ac ice. These s udies ha e elied on he
knowledge o pha macokine ic and/o pha macodynamic
p ocesses. The pha macokine ic s udies ha e shown he mos
p omising esul s o clinical implemen a ion as he gene ic
a iabili y in me abolism- ela ed genes explains a significan
pe cen age o he a iabili y in he plasma le els o some APs.
Geno yping hese genes can be e y use ul in imp o ing APs
e ficacy and ole abili y (10). In his ega d, in e na ional
guideline g oups, such as he Du ch Pha macogene ics Wo king
G oup (DPWG), ha e published pha macogene ic guidelines o
gene-d ug in e ac ions in ol ing CYP2D6, CYP3A4, and CYP1A2
wi h an ipsycho ics (11), while he Clinical Pha macogene ics
Implemen a ion Conso ium (CPIC) is de eloping simila
guidelines (h ps://cpicpgx.o g/p io i iza ion-o -cpic-guidelines/).
Addi ionally, egula o y agencies like he Food and D ug
Adminis a ion (FDA) ha e iden ified 41 pha macogenomic
bioma ke s ele an o psychia y in d ug labeling (h ps://
www. da.go /d ugs/science-and- esea ch-d ugs/ able-
pha macogenomic-bioma ke s-d ug-labeling). By con as , he
pha macodynamic s udies ha e been a ely eplica ed in
independen popula ions, o en explaining a small pe cen age o
he obse ed a iabili y ha limi s hei p edic i e capaci y (12).
The candida e gene app oach is u he limi ed by he lack o
unde s anding o he mechanism o ac ion o he APs. The
pha macological esponse o APs can be defined as a complex
pheno ype wi h polygenic inhe i ance in ol ing mul iple loci wi h
small e ec s. Polygenic isk sco es (PRS) a e cons uc ed by
summing he mul iple isk alleles associa ed wi h a pheno ype
and a e weigh ed by he magni ude o hei es ima ed e ec in
genome-wide associa ion s udies (GWAS) using la ge coho s wi h
su ficien s a is ical powe (13). In psychia y, hese PRS ha e been
calcula ed o es ima e he gene ic isk o a ious condi ions, such as
SZ, majo dep ession, and bipola diso de (14). Se e al s udies
ha e demons a ed ha he PRS calcula ed o psychopa hologies
can be use ul in pha macogenomic s udies (14–17) as p edic o s o
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g02
he esponse o APs (18–22). Addi ionally, he PRS calcula ed o
pheno ypes ela ed o he pha macological esponse o APs, such as
cogni i e pe o mance o me abolic al e a ions, can also be
associa ed wi h he e ficacy o oxici y o AP ea men s (14,23–
25). The clinical applica ion o PRS and hei inclusion in heal hca e
sys ems a e some o he mos p omising aspec s in implemen ing
PGx in clinical p ac ice (13). Howe e , PRS ha e limi ed p ecision
in hei p edic i e capaci y, as he e a e many o he
sociodemog aphic, en i onmen al, clinical, and pha macological
ac o s in ol ed in his complex pheno ype. Despi e hese
limi a ions, he e is e idence o he clinical applicabili y o PRS,
mainly o pa ien iden ifica ion and s a ifica ion (13,17). In hese
examples, PRS ha e been inco po a ed in o isk algo i hms and a e
al eady used in clinical p ac ice in some cases, inc easing hei
p edic i e capaci y. The in eg a ion o PRS in o algo i hms ha
include o he isk ac o s (i.e., sociodemog aphic, en i onmen al,
clinical, and pha macological) ep esen s he u u e o
pe sonalized medicine.
Applied pha macogene ics o p edic
esponse o ea men o fi s
psycho ic episode
PGx s udies ha e been hinde ed by limi a ions such as di ficul ies in
ec ui ing la ge coho s, as hey equi e de ailed in o ma ion and
longi udinal ollow-up o assess he esponse o pha macological
ea men . Addi ionally, PGx s udies in SZ a e cons ained by
disease-specificlimi a ions(14) such as diagnos ic he e ogenei y
(mul iple and a iable symp oms accompanied by neu opsychological
and unc ional impai men s) (26), mul iple como bidi ies, and
pha macological he e ogenei y (mul iple APs wi h di e en
p ope ies, a iable doses, AP combina ions, and concomi an
medica ions) (27,28). Fu he mo e, he e is he e ogenei y in he
defini ion o esponse pheno ypes ha is usually defined as a
pe cen age o imp o emen in o e all symp oma ology o a h eshold
alue measu ed in c oss-sec ional s udies, wi hou he conside a ion o
he di e en symp oms and dimensions o psychia ic diso de s, hei
longi udinal e olu ion, o yea s o ea men . Acco dingly, se e al
au ho s p oposed adding unc ioning and pe sonal eco e y measu es
o he lis o ou come indica o s o FEP, expanding i beyond
symp oma ologic emission (29).
The “Applied Pha macogene ics o P edic Response o
T ea men o Fi s Psycho ic Episode”(Fa maPRED-PEP om
he Spanish abb e ia ion) p ojec is a mul icen e s udy designed
o allow he de elopmen and alida ion o a p edic i e algo i hm
o he applica ion o pe sonalized medicine in pa ien s wi h fi s -
episode psychosis (FEP). The pu pose o his p edic o will be o
classi y FEP pa ien s acco ding o hei esponse pheno ype o APs,
he eby allowing he mos app op ia e ea men s a egy o be
selec ed. This p edic o will in eg a e, h ough machine lea ning
echniques, pha macogene ic (measu ed as polygenic isk sco es)
and epigene ic da a wi h clinical, sociodemog aphic,
en i onmen al, and neu oana omical da a. To do his, he
Fa maPRED-PEP p ojec will use he da a om wo al eady
ec ui ed coho s o pa ien s wi h FEP and a longi udinal ollow-
up: he PEPS coho om “Geno ype-Pheno ype In e ac ion and
En i onmen . Applica ion o a P edic i e Model in Fi s Psycho ic
Episodes”( he PEPs s udy om he Spanish abb e ia ion; PI08/
0208) (N = 335) (30) and he PAFIP coho om “Clinical P og am
on Ea ly Phases o Psychosis”(PAFIP om he Spanish
abb e ia ion)”(N = 350) (31). These coho s will allow esponse
pheno ypes o be defined using longi udinal da a, aking in o
accoun no only he symp oma ological dimensions o he
pa hology, bu also he neu ocogni i e dimensions and ad e se
e ec s. These coho s will be used o c ea e as well as in e nally
alida e he p edic o . This p edic o will be ex e nally alida ed in a
new p ospec i e coho o pa ien s wi h FEP and a longi udinal
ollow-up, he Fa maPRED coho (N = 300).
S udy design
S udy design
Fa maPRED-PEP is an obse a ional, na u alis ic, and
longi udinal s udy examining clinical ajec o ies and he
p edic o s o clinical esponse o APs in FEP coho s (Figu e 1).
P ojec aims
The specific aims o he Fa maPRED-PEP s udy a e o:
1. Define ea men esponse pheno ypes o an ipsycho ics in
wo coho s o pa ien s wi h fi s -episode psychosis (N =
700) using s a is ical echniques applied o longi udinal
da a on symp oma ology, neu ocogni ion, and ad e se
e ec s, be o e alida ing hese pheno ypes in a new
p ospec i e coho (N = 300).
2. Reach consensus on clinical ecommenda ions o he
defined ea men esponse pheno ypes.
3. De elop and pe o m in e nal, ex e nal, and p ospec i e
alida ion o he p edic i e algo i hms o he defined
esponse pheno ypes using machine lea ning echniques
ha in eg a e pha macogene ic a iables (measu ed as PRS)
and epigene ic da a along wi h clinical, sociodemog aphic,
en i onmen al, and neu oana omical da a.
4. De elop p edic i e algo i hms o an ipsycho ic esponses
specifically adap ed o each gende .
5. De elop a compu e applica ion ha con ains he
p edic i e algo i hms o he ea men esponse
pheno ypes and he clinical ecommenda ions o each.
6. S udy he easibili y o he clinical applicabili y o he
p edic i e algo i hms in coo dina ion wi h heal hca e sys ems.
7. P omo e educa ional p og ams on pe sonalized and
p ecision medicine in psychia y.
8. Explo e s a egies o p omo e access o genomic and heal h
da a, and hei po en ial isks and benefi s in psychia ic
pa ien s.
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g03
To achie e hese objec i es, he Fa maPRED-PEP s udy has
es ablished a na ional esea ch ne wo k ha is ocused on ec ui ing
FEP pa ien s om 12 na ional s udy si es (Figu e 2), wi h eigh wo k
packages ha ing al eady been designed (Table 1). The eams om hese
si es a e membe s o he Biomedical Resea ch Ne wo king Cen e in
Men al Heal h (CIBERSAM om he Spanish abb e ia ion), a Spanish
ne wo k ocusing on ansla ional esea ch on he neu oscien ific
aspec s ela ed o heal h and men al illness (www.cibe sam.es)(32).
FIGURE 1
Fa maPRED-PEP s udy design and wo kflow.
FIGURE 2
Fa maPRED-PEP esea ch ne wo k and s udy si es.
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g04
Rec ui ed samples
The Fa maPRED-PEP s udy will ake ad ance o wo al eady
ec ui ed Spanish coho s o FEP pa ien s wi h longi udinal
assessmen and is cu en ly ec ui ing a hi d coho . The wo
coho s p e iously ec ui ed a e: he PEPS coho (N = 335) (30)
and he PAFIP coho (N = 350) (31). A comple e desc ip ion o
hese coho s can be ound elsewhe e (30,33).
P ospec i e sample
The Fa maPRED-PEP esea ch ne wo k is ec ui ing he
Fa maPRED coho . The inclusion c i e ia a e: aged be ween 16
and 35 yea s a he ime o fi s e alua ion; a du a ion o posi i e
symp oma ology ha does no exceed 12 mon hs; a du a ion o AP
ea men ha does no exceed 3 mon hs; fluency in Spanish; and
signed in o med consen o he s udy ( o mino s, by a legal
gua dian i he pa ien ag ees o pa icipa e). The exclusion
c i e ia a e: a neu ological diso de ; auma ic b ain inju y wi h a
loss o consciousness; in ellec ual disabili y, no only an IQ < 70, bu
also poo unc ioning; soma ic pa hology wi h a men al impac ;
oxic psychosis; o a e usal o unde go gene ic es ing.
The s udy was app o ed by he esea ch e hics commi ees o all
he pa icipa ing clinical cen e s (HCB/2022/0079). In o med
consen is o be ob ained om all he pa icipan s. In o med
consen has been designed acco ding o he ecommenda ions o
he Spanish P ecision Medicine In as uc u e Associa ed wi h
Science and Technology (IMPaCT) (h ps://impac .isciii.es/) and
he Ca los III Heal h Ins i u e (Spain) o ensu e p ope da a sha ing
and o p omo e open science.
P ima y clinical endpoin
Clinical ajec o ies, de i ed om longi udinal da a ha
cha ac e ize AP esponse pheno ypes, will se e as he p ima y
clinical endpoin . These ajec o ies will u ilize da a collec ed a
baseline, 3, 6, and 12 mon hs and will be iden ified ia clus e ing
and la en a iable analyses. Response pheno ypes will be based on
TABLE 1 Fa maPRED-PEP wo k packages.
Wo k package Func ion
WP1. Fa maPRED coho ec ui men Task 1. Decide clinical assessmen s and ime-poin s
Task 2. Design and de elop a web-based EDC
Task 3. Rec ui 300 pa ien s expe iencing FEP a 12 clinical cen e s. Longi udinal ollow-up will consis o ou isi s
(baseline, a 3, 6 and 12 mon hs a e s udy inclusion) du ing which clinical and neu opsychological assessmen s will
be conduc ed and he occu ence o ad e se e ec s and plasma le els o APs will be assessed. A he baseline isi ,
sociodemog aphic da a and amily his o y will be collec ed, a biological sample o DNA ex ac ion will be ob ained,
and magne ic esonance imaging (MRI) will be pe o med.
WP2. Defini ion o esponse pheno ypes and
clinical ecommenda ions
Task 1. De elop da a p ep ocessing p o ocols, including da a ans o ma ion, da a impu a ion, and da a
ha moniza ion, among he h ee coho s included in he p esen s udy.
Task 2. Define esponse pheno ypes o APs in FEP using 12-mon h longi udinal da a on symp oma ology,
neu ocogni ion, and ad e se e ec s h ough clus e ing and la en a iable analyses.
Task 3. De elop a guide o clinical ecommenda ions o each o he esponse pheno ypes.
WP3. Pha macogene ic s udy Task 1. De elop and apply quali y con ol p o ocols o gene ic and epigene ic da a.
Task 2. Calcula e selec ed polygenic isk sco es using whole-genome geno yping ollowing p e iously desc ibed
s anda d p o ocols.
Task 3. Calcula e epigene ic clocks and epigene ic isk sco es using whole-genome me hyla ion da a acco ding o
s anda d p o ocols.
Task 4. Pe o m a pha macokine ic s udy o he candida e genes in ol ed in he abso p ion, dis ibu ion, me abolism,
and exc e ion o APs and i s ela ionship o AP plasma le els.
WP4. De elopmen and alida ion o
p edic i e algo i hms
De elop p edic i e algo i hms o he iden ified AP esponse pheno ypes using baseline da a. The PEPS coho will be
used o c ea e he p edic ion model and he PAFIP coho will be used as an independen alida ion sample. The
mos obus model will be selec ed and fine- uned by me ging he PEPS and PAFIP coho s be o e being ex e nally
alida ed using he Fa maPRED coho . Explainable a ificial in elligence (AI) me hods ha de i e in o ma i e
p edic ions will be used.
WP5. De elopmen o a clinical decision
suppo sys em
In coo dina ion wi h a specialized company, a compu e applica ion ha in eg a es he p edic i e algo i hms (WP4)
and he clinical ecommenda ions (WP2) o he iden ified esponse pheno ypes will be de eloped. This applica ion
mus in eg a e he a ious algo i hms and ecommenda ions sequen ially: (1) p edic ion o symp om ajec o y; (2)
p edic ion o neu ocogni i e ajec o y; (3) p edic ion o ad e se e ec s; (4) he apeu ic s a egy ecommenda ions and
APs; and (5) dosing ecommenda ions and he need o moni o ing plasma le els.
WP6. S udy o clinical applicabili y and
easibili y o in eg a ion in o he Spanish
Na ional Heal h Sys em
In coo dina ion wi h he e i o ial men al heal h manage s o each pa icipa ing au onomous communi y, bo h he
clinical applicabili y and in eg a ion in o he Spanish Na ional Heal h Sys em o he findings om his s udy will
be assessed.
WP7. Educa ion and eaching o pe sonalized
and p ecision medicine in psychia y
A p og am will be de eloped o p omo e he eaching o pe sonalized and p ecision medicine in psychia y using he
ne wo k o CIBERSAM cen e s as a p omo ion pla o m.
WP8. Dissemina ion o esul s P epa a ion o publica ions and communica ions.
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g05

longi udinal changes ac oss mul iple domains, including psycho ic
symp oma ology (posi i e, nega i e, and gene al symp oms),
a ec i e symp oms, and side e ec s. All measu es used o define
hese ajec o ies a e de ailed below.
Me hods
Diagnosis
The diagnosis o a psycho ic diso de will be es ablished using
semi-s uc u ed in e iews based on he age o he pa ien : he
Schedule o A ec i e Diso de s and Schizoph enia o School-Age
Child en - P esen and Li e ime Ve sion (K-SADS-PL) (< 18 yea s
old) (34) and he Mini-In e na ional Neu opsychia ic In e iew
(MINI) (> 18 yea s old) (35). To e ospec i ely cha ac e ize and
da e he ini ial symp oms o a psycho ic illness, he Symp om Onse
in Schizoph enia (SOS) in en o y will be used (36).
Demog aphic and en i onmen al ac o s
A baseline, a comple e pe sonal and amily his o y will be
aken, including a his o y o d ug use. En i onmen al ac o s and
s esso s will also be eco ded using se e al measu es ha include
he Lewis-Mu ay Obs e ic Complica ions Scale (37), he Lis o
Th ea ening Expe iences Ques ionnai e (38) and he Childhood
T auma Ques ionnai e (39), wi h in o ma ion on u banici y and he
socioeconomic s a us also being collec ed using he Hollingshead-
Redlich index. The P emo bid Adjus men Scale (PAS) (40) will be
used o assess p emo bid adjus men , one o he mos s udied
ac o s in ela ion o he p ognosis o psycho ic diso de s. In each
e alua ion, weigh , heigh , he body mass index (BMI), blood
p essu e, and he abdominal pe ime e will also be eco ded, wi h
he aim o moni o ing he physical heal h indica o s.
T ea men da a
In each e alua ion, in o ma ion on he d ugs p esc ibed will be
eco ded, including he ype o d ug, he du a ion o ea men , and
dosage. In o ma ion on psychological ea men will also be
collec ed. To assess ad e se d ug eac ions, se e al measu es will
be included: he Ud alg ü Kliniske Unde sogelse (UKU) side
e ec a ing scale (41), he Simpson-Angus scale, and gene al blood
es s ( o al choles e ol, LDL, HDL, iglyce ides, glucose, and
p olac in). AP plasma le els will be measu ed a each isi . The
analysis o plasma le els oge he wi h he comple e geno yping o
he cy och omes and anspo e s will allow he iden ifica ion o
genuine non- esponde s, di e en ia ing hem om non-adhe e s o
ea men . Adhe ence will be measu ed using he Mo isky G een
Le ine Medica ion Adhe ence Scale (42).
Clinical measu es
A baseline and in each e alua ion, a comp ehensi e assessmen
o psychopa hology will be pe o med ha will include well-
es ablished measu es such as he Posi i e and Nega i e Synd ome
Scale (PANSS) (43), he B ie Nega i e Symp om Scale (BNSS) (44),
he Young Mania Ra ing Scale (YMRS) (45), and he Mon gome y
—Asbe g Dep ession Ra ing Scale (MADRS) (46). The assessmen
o global unc ioning will include he Clinical Global Imp ession
(CGI) Scale (47), he Global Assessmen o Func ioning (GAF)
Scale and Func ional Assessmen S aging (FAST) (48).
Cogni ion
The neu opsychological assessmen ba e y will be applied in
he h ee-mon h e alua ion o ensu e ha he pa ien is clinically
s able. The neu opsychological assessmen ba e y will be epea ed
in he one-yea ollow-up isi . The s udy will use he MATRICS
Consensus Cogni i e Ba e y (MCCB) (49) consis ing o 10
indi idually adminis e ed es s ha measu e cogni i e
pe o mance in se en domains: speed o p ocessing (BACS:
symbol coding; ca ego y fluency: animal naming; T ail Making
Tes - Pa A), a en ion/ igilance (CPT-IP), wo king memo y
(WMS®-III: Spa ial Span; Le e -Numbe Span), e bal lea ning
(HVLT-R™), isual lea ning (BVMT-R™), easoning and p oblem
sol ing (NAB®: Mazes), and social cogni ion (MSCEIT™:
Managing Emo ions). The MCCB will be complemen ed by
se e al es s o acili a e he ha moniza ion o he cogni i e da a
among he coho s. These es s include: he Vocabula y and Ma ix
Reasoning sub es s o he Wechsle Adul In elligence Scale –
Fou h Edi ion (WAIS-IV) (50) o measu e cu en IQ; he
Backwa d Digi Span sub es o he WAIS-IV (50) o measu e
wo king memo y; and he T ail Making Tes - Pa B (51) o
measu e execu i e unc ions. Addi ionally, a baseline, he
Cogni i e Rese e Assessmen Scale in Heal h (CRASH) (52) will
be used o measu e cogni i e ese e.
Neu oimaging
The mul imodal neu oimaging p o ocol is designed o a 3T
MRI scanne and includes s uc u al imaging and es ing-s a e
unc ional MRI ( MRI). Images will be collec ed a baseline o in
he h ee-mon h e alua ion o ensu e ha he pa ien is clinically
s able. The e a e cu en ly 11 MRI scanning si es wi h a a ie y o
endo s and pla o ms. Da a will be collec ed om each cen e and
p ocessed a one si e. Upon a i al a he da a analysis cen e ,
quali y con ol (QC) will check he consis ency o he da a and
adhe ence o he specified imaging p o ocol. Following QC, he da a
will be ma hema ically ha monized o elimina e esidual si e e ec s
and will hen be p ocessed using obus analysis s eams.
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g06
Gene ics and epigene ics
In all e alua ions, blood samples will be collec ed in whole-blood
EDTA ubes. The blood samples will be p ocessed using a s anda dized
p o ocol o ob ain aliquo s o plasma ( o plasma AP assessmen ) and
bu y coa ( o DNA ex ac ion). Samples will be s o ed in -80°C
eeze s. The ele an me ada a will include he as ing du a ion, he
ime since he las AP dosage, and ecen illnesses o inflamma o y
condi ions. DNA will be ex ac ed om bu y coa samples ollowing
es ablished s anda d p o ocols. No malized DNA concen a ions will
be sen o he Spanish Na ional Geno yping Cen e (CeGen). Whole-
genome geno yping will be unde aken using he Axiom™Spain
Biobank A ay (de eloped in he Uni e si y o San iago de
Compos ela, Spain) (The mo Fishe Scien ific) and da a will be
analyzed o ob ain polygenic isk sco es (PRS) o schizoph enia and
o he psychopa hologies as well as o he condi ions including
cogni ion, pe sonali y ai s, and me abolic o inflamma o y ai s.
GWAS summa y esul s will be downloaded om he Psychia ic
Genomics Conso ium and he Science Gene ic Associa ion
Conso ium. S anda d pipeline analysis (p e iously desc ibed (25))
will be pe o med, allowing e ficien quali y con ol, ela edness es ing,
p incipal componen analysis, and geno ype impu a ion. The selec ed
PRSs will be compu ed using he PRS con inuous sh inkage (PRS-CS)
so wa e, a Bayesian-based me hod ha in e s an upda ed pos e io
SNP e ec size by applying con inuous sh inkage o he disco e y
GWAS summa y s a is ics. The ex e nal linkage disequilib ium (LD)
e e ence panel will be cons uc ed using a publicly a ailable subsample
o he UK Biobank. The de i ed PRSs will be s anda dized o z-sco es
wi h mean 0 and a s anda d de ia ion o 1. The geno yping o specific
pha macogene ic genes (including cy och omes and anspo e s) will
be conduc ed wi h he Pha macoScan a ay (The mo Fishe Scien ific).
Only genes wi h meaning ul impac s on AP me abolism, as pe CPIC
le els A–B o gene-d ug in e ac ions (h ps://cpicpgx.o g/genes-d ugs/),
will be included. Gene ic a ian s will be anno a ed using s a (*)
alleles, whe e applicable, ia he Pha mVa da abase (h ps://
www.pha m a .o g/). Fo s a is ical analysis, geno ype- o-
pheno ype ansla ions will ollow consensus ecommenda ions
(e.g., CYP2D6) (53) o , i absen , CPIC-defined pheno ypes. DNA
me hyla ion will be assessed using he Illumina Infinium
Me hyla ionEPIC 2.0 ki (Illumina) and analyzed o calcula e
di e en epigene ic clocks (54)andme hyla ionp ofile sco es
(MPS) (55) acco ding o s anda d p o ocols ha include quali y
con ol, be a- alue compu a ion, no maliza ion, and singula alue
decomposi ion o iden i y and emo e unwan ed sou ces o
a ia ion (56,57). We will use publicly a ailable da a om
me hyla ion-wide associa ion s udies as a disco e y sample o
calcula e me hyla ion p ofile sco es using simila app oaches o
hose used o he cons uc ion o PRS. We de eloped a code o
compu ing MPS accessible ia he ollowing public eposi o y on
Gi Hub: h ps://gi hub.com/agonse/me hylsco e.
Da a collec ion
Pheno ypic da a will be collec ed and managed using
Lib eClinica, an open-sou ce elec onic da a cap u e (EDC)
sys em o clinical ials based on he OpenClinica(R) (OC) 3
communi y edi ion. A web-based EDC has been designed
specifically o he collec ion o da a om all he measu es and
ques ionnai es. Real- ime da a alida ion and quali y ules will be
defined o ensu e ha he da a a e en e ed accu a ely and as
comple ely as possible. Clinical a e s will di ec ly en e he
ques ionnai e da a using he co esponding da a en y o ms.
Each da a en y will hen be ca e ully double-checked by an
ex e nal p ojec managemen eam ha will esol e any
disc epancy o que y. S anda d ope a ing p ocedu es will be
es ablished o ensu e p ope da a collec ion and compa abili y
ac oss he s udy si es.
Da a analysis
The analyses will ocus on wo main goals: (1) he
cha ac e iza ion o AP esponse pheno ypes using longi udinal
da a and (2) he p edic ion o hese pheno ypes. Clinical
ajec o ies u ilizing da a om baseline, 3-, 6-, and 12-mon h
ollow-ups will iden i y AP esponse pheno ypes based on he
longi udinal change in di e en psycho ic symp om domains
(posi i e, nega i e, and gene al) as well as in a ec i e symp oms
and side e ec s. T ajec o y analyses will include all he in o ma ion
a ailable om all he ime-poin s and will apply s a e-o - he-a
clus e ing and la en a iable analyses. The PEPS coho (N = 300)
will be used o iden i y hese AP esponse pheno ypes and o
pe o m hei clinical cha ac e iza ion. P edic ions will be based
on he da a collec ed a baseline and he cogni ion in o ma ion
collec ed in he 3-mon h ollow-up. To ensu e ou abili y o es he
obus ness o he p edic ion models in an unbiased manne , he
PEPS coho will be used o c ea e he p edic ion model, while
he PAFIP coho (N = 350) will be used as an unseen independen
alida ion sample. Explainable machine lea ning me hods will be
used. The mos obus model will hen be selec ed and fine- uned by
me ging he PEPS and PAFIP coho s be o e being ex e nally
alida ed using he Fa maPRED coho .
Sample size and powe
We used a ecen ly-desc ibed me hod o de e mine sample size
o de eloping a clinical p edic ion model using a adi ional
likelihood-based app oach (e.g., logis ic eg ession) (58). Sample
sizes we e de i ed o he scena ios o low, medium o high
p edic ion pe o mance (Nagelke ke R-squa ed alue o 0.25/0.40/
0.55), wi h he numbe o pa ame e s in he model being 10. The
minimum expec ed equency o he AP esponse clus e was 15%
acco ding o p e ious s udies wi h he PEPS coho (59). Using he
R package ‘pmsampsize’, we es ima ed he sample sizes equi ed o
bina y ou comes. Fo a bina y ou come, he e a e h ee c i e ia o
de e mining sample size: (1) a small o e fi ing defined by an
expec ed sh inkage o p edic o e ec s by 10% o less; (2) a small
absolu e di e ence o 0.05 in he model’s appa en and adjus ed
Nagelke ke R-squa ed alue; and (3) a p ecise es ima ion (wi hin
+/- 0.05) o he a e age ou come isk in he popula ion o a key
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g07
ime-poin o in e es o p edic ion. Each c i e ion may equi e a
di e en sample size and he chosen sample size is he la ges o he
h ee. Fo his s udy, when he ou come is conside ed bina y, he
c i e ion wi h he la ges equi ed sample size will be c i e ion 1 o
a low p edic i e pe o mance and 2 o medium and high
pe o mances. Assuming a pheno ype equency o 15% and a
maximum o 10 pa ame e s o be included in he p edic i e
model, he minimum sample size o a model is es ima ed o be
be ween 290 and 310.
Discussion
The Fa maPRED-PEP p ojec has been designed o o e come
se e al o he limi a ions iden ified in PGx s udies in
psychia y, including:
1. Sample size. As commen ed p e iously, he ec ui men o
la ge coho s wi h longi udinal ollow-ups and deep
pheno yping is challenging and di ficul o achie e. He e,
he aim o he s udy is o collec da a om 1000 pa ien s
h ough he in eg a ion o h ee coho s o FEP pa ien s: he
PEPS coho , he PAFIP coho , and he Fa maPRED
coho . The assessmen ins umen s and measu emen
ime-poin s o be used in he Fa maPRED coho we e
decided ia a wo king g oup discussion o acili a e he
ha moniza ion o clinical and neu ocogni i e da a among
he coho s.
2. Pheno ype he e ogenei y and defini ion. One ac o
hinde ing he iden ifica ion o p edic o s o AP esponse
is he inconsis ency in how AP esponse pheno ypes a e
defined ac oss a ious s udies (28,59). Many esea che s
adop bina y classifica ions o measu e e ec i eness
(ca ego izing subjec s as ei he esponde s o non-
esponde s) o e alua e oxici y (de e mining whe he an
ad e se e ec is p esen o absen ), al hough he e is no
consensus ega ding he ideal cu -o alues o hese
a iables. Such bina y classifica ions ail o cap u e he
complex na u e o AP esponses, which a e influenced by
bo h he e ec i eness o he ea men (encompassing
mul iple aspec s such as clinical symp oms,
neu ocogni i e pe o mance, and quali y o li e) and he
side e ec s in ol ed. Addi ional challenges in p edic ing
AP esponses include he di e se p og ession o he disease
i sel . P edic ing esponse ou comes using pa ien s wi h
ch onic condi ions in oduces mo e a iabili y and limi s
he applicabili y o he findings due o di e ences in illness
du a ion, diagnos ic c i e ia, and p e ious ea men s.
Con e sely, pa ien s expe iencing hei fi s episode o
schizoph enia gene ally show less a ia ion in hei p io
use o an ipsycho ics, making hem mo e app op ia e
subjec s o s udying p edic o s o ea men ou comes
(60,61). The aim o he Fa maPRED-PEP s udy is o
define he pheno ype o esponse o APs using
longi udinal da a om o e he cou se o one yea a e
he FEP and conside ing ha his esponse is a complex
pheno ype encompassing no only he emission o he
a ious symp oms ha cha ac e ize he pa hology, bu also
he neu ocogni i e aspec s and he eme gence o
ad e se e ec s.
3. The complexi y o he pheno ype. The AP esponse is a
complex pheno ype wi h a polygenic basis ha could be
pa ially cap u ed using PRS. Howe e , as is he case wi h
o he isk ac o s used in heal hca e (e.g., choles e ol
le els), PRS ha e a p edic i e capaci y wi h limi ed
accu acy, meaning hey canno p edic a clinical a iable
o in e es wi h su ficien p ecision a he indi idual le el.
E en i he PRS cap u ed all he gene ic a iabili y in a
pha macological esponse a ibu able o common gene ic
a ian s, hei p edic i e capaci y would s ill be impe ec ,
mainly o wo easons. Fi s ly, gene ic ac o s a e no he
only isk ac o s ha explain a iabili y in a
pha macological esponse as he e a e many o he
sociodemog aphic, en i onmen al, clinical, and
pha macological ac o s in ol ed in his complex
pheno ype (62,63). Secondly, PRS only accoun o he
con ibu ion o common gene ic a ian s, each wi h a small
e ec , wi hou conside ing he e ec s o a e gene ic
a ian s, which a e less equen bu ha e a la ge impac ,
o he e ec s a ibu able o epigene ic modifica ions.
Al hough he inclusion o a e gene ic a ian s,
iden ifiable h ough massi e sequencing echniques, is no
expec ed o inc ease he p edic i e capaci y o he PRS in
he sho e m (13), he inclusion o epigene ics in
pha macogenomic s udies is expec ed o help explain
much o he missing he i abili y, ha is, he he i abili y o
a pheno ype ha is no cap u ed by gene ic a ian s (3). In
his ega d, a iables such as epigene ic clocks ha e ecen ly
been shown o be ela ed no only o schizoph enia, bu also
o he esponse o APs (56,64,65).
4. The gende pe spec i e. The s udy assumes a gende -based
app oach as a c oss-cu ing axis o imp o e heal h
in e en ions. The e o e, i s objec i e is o de elop
p edic i e algo i hms o he esponse o AP, especially
ailo ed o each gende . The di e ences be ween women
and men in he incidence o FEP a e well known, bu less
s udied in ela ion o he esponse o AP. In his sense, he
s udy will no be limi ed o conside ing gende as a simple
ca ego ical a iable o in oduc ion in o s a is ical models,
bu aims o conduc an in-dep h s udy o he impac ha
gende has on pha macological esponse in FEP and i s
in e ac ion wi h o he heal h de e minan s (e.g., age,
socioeconomic s a us, educa ional le el, e c.). The e o e,
his s udy will p omo e he sea ch, de ec ion, and analysis
o di e ences, as well as simila i ies, be ween men and
women, bo h in e ms o e ficacy and in e ms o he
equency and ype o ad e se e ec s. Thus, i aims o
de e mine whe he he imp o emen in psycho ic
symp oma ology, bu also in neu ocogni i e
cha ac e is ics, as well as he equency and se e i y o
ad e se e ec s, a e exclusi e o one o he wo sexes, mo e
p e alen in one o he wo sexes, wi h di e en
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g08
cha ac e is ics be ween bo h sexes, o e en i hey ecei e
di e en esponses om he sys em depending on whe he
hey a e men o women. To a oid some o he gende biases
and common malp ac ices in heal h esea ch, he s udy
da a will be collec ed and analyzed disagg ega ed by gende
and will be p esen ed in epo s and publica ions de i ed in
he same way.
O e coming hese limi a ions, he aim o he Fa maPRED-PEP
s udy is o de elop algo i hms o p edic AP esponse pheno ypes using
gene ic and epigene ic da a (measu ed as isk sco es) oge he wi h
clinical, sociodemog aphic, en i onmen al, and neu oana omical da a.
The u u e o medicine is ocused on o e ing a comp ehensi e
app oach o heal h, aking in o accoun all he de e mining ac o s
o heal h o illness. The gene a ion o la ge amoun s o heal h da a
has exceeded he capaci y o manage all a ailable in o ma ion in
eal ime; he e o e, a ificial in elligence can become a suppo ool
o heal hca e p o essionals, who, howe e , mus always ha e he
final say in decision-making. Machine lea ning sys ems, and mo e
specifically deep lea ning ones, a e capable o ex ac ing pa e ns
and gene a ing conclusions om a la ge amoun o da a using
complex o mulas and associa ions, making hem less in ui i e. This
ac limi s he unde s anding and comp ehension o he sys ems by
heal hca e p o essionals, making i di ficul o in eg a e hem in o
wo kflows and gene a ing a lack o confidence in he esul s hey
can p o ide. Ou p ojec will be ocus in explainable a ificial
in elligence me hods ha de i e in o ma i e p edic ions ha can
be mapped back o indi idual ea u es and bioma ke s, as opposed
o some deep lea ning and o he “black-box” echniques ha may
no be app op ia e o achie ing in e p e abili y.
The applica ion o p ecision medicine in psychia y has been
defined as a mul i-s age p ocess (66), whe e PRS play a significan
ole in each s age, such as in: (1) p edic ing he isk o de eloping
he diso de o design p e en i e s a egies; (2) s a i ying pa ien s
based on hei own cha ac e is ics, bo h clinical and gene ic, o
iden i y he mos e ec i e ea men , ea men - esis an pa ien s,
and suscep ibili y o de eloping ad e se e ec s; and (3) op imizing
dosage egimens o ensu e ea men e ficacy and ole abili y based
on d ug kine ics and pa ien gene ic cha ac e is ics. The
Fa maPRED-PEP s udy ocuses on he second and hi d s ages o
his s a egy.
Al hough he Fa maPRED s udy has been designed o add ess
se e al limi a ions commonly ound in pha macogenomics (PGx)
s udies, ce ain cons ain s should be conside ed when in e p e ing
u u e findings. Fi s ly, as a na u alis ic s udy, ea men
he e ogenei y and he non- andom selec ion o specific
ea men s could ac as po en ial con ounde s. Secondly, while
allowing p io an ipsycho ic (AP) ea men o less han h ee
mon hs aims o acili a e sample ec ui men and ensu e adequa e
s a is ical powe , i may also in oduce a iabili y ha could
con ound clinical ajec o ies. Thi dly, al hough ea men
adhe ence will be moni o ed, no in e en ions o enhance
adhe ence a e planned; as a esul , adhe ence a iabili y may
u he con ound he esponse pheno ypes based on clinical
ajec o ies. Finally, despi e he implemen a ion o igo ous da a
ha moniza ion p o ocols o ensu e compa abili y ac oss he h ee
coho s in ol ed in he s udy, uncon olled di e ences be ween
coho s may s ill influence he findings.
The applica ion o hese s a egies in pe sonalized and p ecision
medicine is especially ele an in pa ien s wi h FEP, as eco e y
a e FEP has become he p ima y goal o any ea men s a egy
(61), wi h hei p og ess du ing he fi s yea o ea men
conside ed c ucial o disease p ognosis and elapse p e en ion.
Al hough SZ is a po en ially disabling and se ious men al illness, an
app op ia e mul idisciplina y app oach o FEP can con ibu e o
comple e eco e y (67). A c i ical pe iod o 2 o 5 yea s a e FEP
has been defined, du ing which he apeu ic in e en ions may be
mo e success ul in p e en ing elapses and achie ing unc ional
eco e y in pa ien s (68). P e en ing elapses in he ea ly s ages o
he disease has become a majo challenge due o he c i ical impac
ha a elapse can ha e on unc ional p ognosis (69). Non-
adhe ence o APs and a lack o disease knowledge a e e y
common in pa ien s wi h FEP and a e associa ed wi h an
inc eased isk o elapse, leading o a wo se disease cou se and
unc ionali y (70–72).
Psycho ic diso de s encompass schizoph enia, schizoph eni o m
diso de , schizoa ec i e diso de , b ie psycho ic diso de , and
subs ance-induced psycho ic diso de . Addi ionally, o he men al
heal h condi ions, such as majo dep essi e diso de , bipola
diso de , obsessi e-compulsi e diso de (OCD), pos auma ic
s ess diso de (PTSD), and au ism spec um diso de , may also
p esen wi h sho - o medium- e m psycho ic symp oms. Gi en he
gene ic pleio opy sha ed among hese condi ions -cap u ed h ough
polygenic isk sco es- and he widesp ead use o APs o ea hem,
he findings o he Fa maPRED-PEP s udy ha e he po en ial o o e
ansdiagnos ic insigh s ha ex end beyond fi s -episode psychosis
(FEP) pa ien s.
Pha macogenomic s udies and pe sonalized and p ecision
medicine in he field o psycho ic diso de s will need o add ess he
challenges ha mus be aced o ensu e hei u u e applicabili y in
clinical p ac ice. These challenges ha e been defined by he
In e na ional Conso ium o Pe sonalized Medicine (ICPe Med)
(h ps://www.icpe med.eu/index.php) and include, among o he s,
he managemen o genomic and heal h da a in e ms o ensu ing
confiden iali y as well as access o ci izens and esea che s, he
in ol emen o heal h au ho i ies in p omo ing pe sonalized
medicine o acili a e i s implemen a ion in heal hca e sys ems,
he educa ion and in ol emen o heal hca e p o essionals o ensu e
knowledge, access, and applica ion o pe sonalized and p ecision
medicine s a egies, he mul idisciplina y in eg a ion o esea che s
and clinicians o de elop pe sonalized medicine s a egies, and he
collec ion o da a and hei use o a mo e e ficien pa ien -cen e ed
heal hca e sys em. These challenges a e also he pilla s o IMPaCT
(h ps://impac .isciii.es/) o he Ca los III Heal h Ins i u e (Spain),
he ounde o he Fa maPRED-PEP s udy. The aims o ou s udy
a e aligned wi h he mission o IMPaCT o acili a e he e ec i e
deploymen o p ecision medicine in he Spanish Na ional Heal h
Sys em, ensu ing scien ific and echnical quali y, equi y, and
e ficiency in he use o a ailable scien ific esou ces o mee he
needs o he ci izen y.
Mas e al. 10.3389/ psy .2024.1497565
F on ie s in Psychia y on ie sin.o g09