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NMR-based Metabolomics and Fatty Acid Profiles to Unravel Biomarkers in Preclinical Animal Models of Compulsive Behavior

Ralha Abreu, Ana Cristina,Mora Parada, Santiago,Tristán Hernández, Ana Isabel,Martín González, Elena,Prados Pardo, Ángeles,Moreno Montoya, Margarita Begoña,Fernández De Las Nieves, Ignacio

Abstract

Compulsivity is a key manifestation of inhibitory control deficit and a cardinal symptom of psychopathological conditions such as obsessive-compulsive and attention-deficit hyperactivity disorders, in which metabolic alterations have raised attention as putative biomarkers for early identification. The present study assessed the metabolic profile in a preclinical model of a compulsive phenotype of rats. We used the schedule-induced polydipsia (SIP) method to classify male Wistar rats into high drinkers (HDs) or low drinkers (LDs) according to their compulsive drinking rate developed by exposure to a fixed-time 60 s (FT-60) schedule of reinforcement with water available ad libitum during 20 sessions. Before and after SIP, blood samples were collected for subsequent serum analysis by nuclear magnetic resonance spectroscopy coupled to multivariate analysis. Although no differences existed in the pre-SIP set, the compulsive drinking behavior induced remarkable metabolic alterations: HD rats selected by SIP exhibited a hyperlipidemic, hypoglycemic, and hyperglutaminergic profile compared with their low-compulsive counterparts. Interestingly, these alterations were not attributable to the mere exposure to reward pellets because a control experiment did not show differences between HDs and LDs after 20 sessions of pellet consumption without intermittent reinforcement. Our results shed light toward the implication of dietary and metabolic factors underpinning the vulnerability to compulsive behaviors.

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NMR-based Me abolomics and Fa y Acid P ofiles o Un a el Bioma ke s in P eclinical Animal Models o Compulsi e Beha io Ana C. Ab eu, § San iago Mo a, § Ana Isabel T is án, Elena Ma ín-González, Angeles P ados-Pa do, Ma ga i a Mo eno,*and Ignacio Fe nández* Ci e This: J. P o eome Res. 2022, 21, 612−622 Read Online ACCESS Me ics & Mo e A icle Recommenda ions * sıSuppo ing In o ma ion ABSTRACT: Compulsi i y is a key mani es a ion o inhibi o y con ol defici and a ca dinal symp om o psychopa hological condi ions such as obsessi e- compulsi e and a en ion-defici hype ac i i y diso de s, in which me abolic al e a ions ha e aised a en ion as pu a i e bioma ke s o ea ly iden ifica ion. The p esen s udy assessed he me abolic p ofile in a p eclinical model o a compulsi e pheno ype o a s. We used he schedule-induced polydipsia (SIP) me hod o classi y male Wis a a s in o high d inke s (HDs) o low d inke s (LDs) acco ding o hei compulsi e d inking a e de eloped by exposu e o a fixed- ime 60 s (FT-60) schedule o ein o cemen wi h wa e a ailable ad libi um du ing 20 sessions. Be o e and a e SIP, blood samples we e collec ed o subsequen se um analysis by nuclea magne ic esonance spec oscopy coupled o mul i a ia e analysis. Al hough no diffe ences exis ed in he p e-SIP se , he compulsi e d inking beha io induced ema kable me abolic al e a ions: HD a s selec ed by SIP exhibi ed a hype lipidemic, hypoglycemic, and hype glu amine gic p ofile compa ed wi h hei low-compulsi e coun e pa s. In e es ingly, hese al e a ions we e no a ibu able o he me e exposu e o ewa d pelle s because a con ol expe imen did no show diffe ences be ween HDs and LDs a e 20 sessions o pelle consump ion wi hou in e mi en ein o cemen . Ou esul s shed ligh owa d he implica ion o die a y and me abolic ac o s unde pinning he ulne abili y o compulsi e beha io s. KEYWORDS: compulsi e beha io , schedule-induced polydipsia, bioma ke s, NMR, me abolomics 1. INTRODUCTION Compulsi i y is defined as a pe se e a ion o a esponse ha is i esis ible, inapp op ia e, and una oidable despi e i s nega i e consequences. 1 I is he co e ea u e obse ed in obsessi e- compulsi e diso de (OCD), al hough i is p esen in o he neu opsychopa hological condi ions such as schizoph enia, au ism, a en ion-defici hype ac i i y diso de , and addic- ion. 2−4 These a e conside ed as impulsi e compulsi e spec um diso de s, wi h a high p e alence (1−3%) in Wes e n coun ies and an app oxima e economic cos o $5 billion pe yea acco ding o he Wo ld Heal h O ganiza ion. 5 Howe e , li le is known abou he ela ion be ween me abolic ac o s and inhibi o y con ol defici . Resea ch on he possible iden ifica ion o me abolic bioma ke s unde lying inhibi o y con ol defici and he effec o die on he ne ous sys em and beha io could help scien is s and physicians o imp o e hei knowledge abou new mechanisms o p e en ion and ea men in psychopa ho- logical diso de s. Me abolomics has been widely applied in biomedicine o p o ide a p ecise analysis o small molecules (<1500 Da) associa ed wi h human me abolism. Unlike DNA, RNA, o p o eins, me aboli es can accu a ely eflec he mos di ec me abolic changes in ou body unde a ce ain condi ion in a sho ime pe iod and a e hus good indica o s o he onse and p og ession o human diseases. 6 So, he analysis o me aboli es ep esen s a sensi i e measu e o biological s a us in heal h o unde disease. 7 Nuclea magne ic esonance (NMR) spec os- copy offe s he unique p ospec o holis ically sc een se e al me aboli es wi h a non-a-p io i selec ion in di e se ma ices as biological fluids and e en in issue biopsies. 8 NMR-based me abolomics analysis coupled o mul i a ia e s a is ical echniques ha e been inco po a ed in o ag icul u al cul u e p og ams and clinical disease esea ch o iden i y unique me aboli e bioma ke s in he ques o nu i ional o o gano- lep ic ad an ages o in a specific human disease, espec i ely. When he ocus is placed on he iden ifica ion o disease- associa ed bioma ke s, his could allow us o (1) p edic and diagnose diseases and hei s ages, (2) p o ide insigh s in o unde lying pa hways in he pa hogenesis and p og ession o he Special Issue: Me abolomics Resea ch Recei ed: No embe 3, 2021 Published: Feb ua y 10, 2022 A iclepubs.acs.o g/jp © 2022 The Au ho s. Published by Ame ican Chemical Socie y 612 h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 Downloaded ia UNIV DE ALMERIA on Oc obe 21, 2025 a 08:53:41 (UTC). See h ps://pubs.acs.o g/sha ingguidelines o op ions on how o legi ima ely sha e published a icles. diseases, and (3) aid in disease ea men by assessing he efficacy and mechanism o ac ion o he apeu ic solu ions. 6,9 The use o animal models wi h highe ansla ional powe , associa ed wi h neu obeha io al endopheno ypes based on bioma ke s, has enabled us o b idge he gap be ween (dys) unc ional neu onal ci cui s and psychological cons uc s wi h bigge p edic i e s eng h han he cu en psychia ic nosology. 10 Howe e , o he bes o ou knowledge, only a ew s udies ha e in es iga ed me abolomic bioma ke s in animal models. In a ecen s udy, Pe ez-Fe nandez e al. 11 ound a hype lipidemic and hypoglycemic p ofile in animals exposed o Chlo py i os, which also showed beha io al al e a ions, ha is, impai men s in he eac ion o social no el y in he C awley social es . Schedule-induced polydipsia (SIP) is one o he mos well- es ablished p eclinical models o he s udy o neu opsychopa- hological diso de s p esen ing compulsi e beha io , such as OCD, schizoph enia, and alcohol abuse. (Fo a e iew, see Mo eno and Flo es). 12 The SIP p ocedu e is cha ac e ized by he de elopmen o an adjunc i e beha io o excessi e and pe sis en d inking, which is non egula o y and does no ely on physiological demands, in ood-dep i ed animals exposed o in e mi en ood- ein o cemen schedules in ope an chambe s wi h wa e a ailable ad libi um. 13,14 Howe e , he e a e impo an indi idual diffe ences in he de elopmen o adjunc i e d inking a e 15−20 sessions in SIP. Ra s can be sepa a ed in o wo g oups acco ding o hei a es o d inking, one wi h high o compulsi e d inking (HD a s) and a second g oup wi h low d inking o no SIP acquisi ion (LD a s). This phenomenon esembles he key ea u es o human compulsi i y and OCD, hus allowing us o iden i y ulne able popula ions based on hei endopheno ype ( o a e iew, see Mo eno and Flo es) 12 and en ailing an ou s anding chance o s udying compulsi e beha io unde labo a o y condi ions. In his sense, he p omising ole o me abolism as a pu a i e con ibu ing ac o conce ning ulne abili y o inhibi o y con ol defici necessi a es u he esea ch; specifically, he use o bioma ke s o he ea ly iden ifica ion o such condi ions c ea es he con ex o a be e unde s anding o he p oblem and o ea ly de ec ion and, in he u u e, ea ly in e en ion. The p esen s udy aims o add e idence in ha di ec ion wi h he aid o SIP. 2. MATERIALS AND METHODS 2.1. Subjec s Fo y male Wis a a s (En igo, Spain) we e used in his s udy (40 o he SIP expe imen , 20 o hem o he con ol expe imen ) and a i ed a he labo a o y weighing 200−250 g. They we e housed in a ou a s pe cage (50 ×35 ×20 cm) dis ibu ion a a empe a u e o 22 ±1°C wi h a 12:12 h ligh − da k cycle wi h ligh s offa 08:00 h. They also had en i onmen al en ichmen consis ing o PVC pipe ubes and wooden blocks and ood and wa e p o ided ad libi um. Be o e SIP, he animals’bodyweigh s we e g adually educed o 85% o hei ee- eeding baseline le el h ough con olled eeding and daily weighing and hen main ained h oughou he expe imen . Food, consis ing o lab chow, was p o ided daily ∼30 min a e each expe imen al session. All o he es ing occu ed be ween 9:00 am and 2:00 pm. All p ocedu es we e in acco dance wi h he Spanish Royal Dec ee 53/2013 on he p o ec ion o expe imen al animals and he Eu opean Di ec i e 2010/63/EU and app o ed by he Animal Resea ch Commi ee o he Uni e si y o Alme ia. We decla e ha he esea ch shows commi men o he 3Rs p inciple ( eplacemen , educ ion, efinemen ). 2.2. Expe imen al Design Once all animals eached 85% bodyweigh compa ed wi h hei baseline, blood samples (p e-SIP) we e aken (see as ollows) on he day be o e he s a o he SIP p ocedu e. Then, a e SIP, pos -SIP samples we e collec ed. A e 1 mon h o washou (based on p e ious publica ions; see Mo a e al.), 15 hal o he animals we e selec ed o a con ol es conce ning he die a y impac on hei me abolism. Blood samples we e collec ed be o e (p e-pelle ) and a e (pos -pelle ) exposu e o he es pelle s wi h wa e a ailable ad libi um.Figu e 1 shows he expe imen al imeline o ele an e en s. 2.3. Blood Sampling Animals we e anes he ized using isoflu ane, and blood samples (1 mL) we e collec ed om he la e al ail ein in 1.5 mL au ocued plas ic ubes be ween 9:00 am and 12:00 pm (da k cycle). The samples we e allowed o s and o 10 min be o e cen i uging (Sigma 3-18KS, Ge many) a 3000 pm (800g) o 10 min a 23 °C, a e which se um was collec ed in o duplica e 0.5 mL au ocued plas ic ubes and s o ed a −80 °C un il assay. 2.4. SIP P ocedu e Ra s we e es ed in 12 ope an SIP chambe s (32 ×25 ×34 cm) (MED Associa es, S . Albans, VT). A p e ious desc ip ion o he appa a us can be ound in Mo eno e al. 16 P og amming and da a eco ding we e pe o med wi h he aid o a compu e and comme cial so wa e Med PC (Cibe ec SA, Spain). P io o SIP, wo baseline wa e inges ion es s on successi e days we e pe o med, whe e he amoun (in mL) o wa e consumed by each animal du ing a pe iod o ime o 60 min wi h ee access o 60 pelle s (Noyes 45 mg dus less ewa d pelle s; TSE Sys ems, Ge many) was measu ed. A e 1 day o habi ua ion o he chambe s session, a s unde wen 60 min daily sessions o a fixed- ime 60 s (FT-60s) schedule o ood pelle deli e y, whe e bo les con aining eshwa e ad libi um we e placed in he wall opposi e o he pelle dispense . Measu es eco ded we e: (1) o al amoun o wa e (in mL) consumed, (2) o al numbe o licks o he bo le, and (3) o al numbe o ood magazine en ies. A e 19 daily sessions o SIP acquisi ion, animals we e selec ed in wo g oups, high and low d inke s (HDs and LDs, n= Figu e 1. Expe imen al p ocedu e illus a ed in a imeline. A e habi ua ion o he lab, animals we e di ided in o high d inke s (HDs) and low d inke s (LDs) by schedule-induced polydipsia (SIP)be o e (p e-SIP) and a e (pos -SIP) blood samples we e aken. A e SIP, animals emainedundis u bed o 1 mon h. Then, an addi ional expe imen ega ding exposu e o ewa d pelle s ook place o assess i s die a y impac on me abolomic analyses; again, blood samples we e collec ed be o e (p e-pelle ) and a e (pos -pelle ) exposu e. Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 613 20 in each g oup), acco ding o i hei d inking a es du ing SIP (a e age o wa e in ake on he las fi e sessions) we e abo e o below he g oup median, espec i ely. 2.5. Exposu e o Die Pelle s Hal o he animals o each g oup (HD and LD, n= 10 in each g oup) we e exposed o 19 consecu i e exposu e sessions simila o SIP o u he assess any die a y impac o he ewa d pelle s. The animals ecei ed he same numbe o pelle s as du ing he SIP p ocedu e (60 pelle s), bu in his case, he pelle s we e p esen ed unde mass eeding condi ions wi hou a ood- ein o cemen ime schedule; wa e was a ailable ad libi um.As in SIP, he consump ion o all pelle s was assu ed by he expe imen e s a e each session. 2.6. Sample P epa a ion o NMR Fo NMR expe imen s, 150 μL o a blood se um was mixed wi h 350 μLo D 2O con aining 0.9% NaCl and he sodium sal o 3-( ime hylsilyl)p opionic-2,2,3,3-d4acid (TSP) a 0.01% (w/w). The esul ing mix u e was o exed and cen i uged o 5 min a 13 500 pm, and 500 μL o supe na an s was ans e ed in o o en-d ied 5 mm NMR ubes. 2.7. NMR Expe imen s Acquisi ion o 1H NMR spec a o se um samples was conduc ed as desc ibed by Pe ez-Fe nandez e al. 11 wi h some modifica- ions. Measu emen s we e ca ied ou on a B uke A ance III 600 spec ome e ope a ing a 600.13 MHz, equipped wi h a 5 mm QCI quad uple esonance pulse field g adien c yop obe and a SampleJe au osample , a 293 ±0.1 K and wi hou o a ion. The wa e -supp essed Ca −Pu cell−Meibom−Gill (CPMG) pulse sequence was applied wi h a o al spin echo delay o 100 ms (τ−180°−τ, 400 μs−37 μs−400 μs) o a enua e b oad signals om p o ein signals. The spec ome e ansmi e was locked o D2O equency. Acquisi ion pa ame e s we e se as ollows: NS = 60, DS = 16, size o fid= 32K, spec al wid h = 22.0 ppm, acquisi ion ime = 1.24 s, elaxa ion delay = 3 s, numbe o loops = 120, line b oadening = 0.3 Hz, ecei e gain = 203. Spec a we e au oma ically phased, baseline-co ec ed, and calib a ed o TSP signal a 0.0 ppm. Acquisi ion and p ocessing o NMR spec a we e ca ied ou by he TOPSPIN so wa e ( e sion 3.6.2). Me aboli e assignmen s we e pe o med hanks o in o ma ion on scala couplings ex ac ed om 1H−1HCOSY,1H−1HTOCSY,1H−13C HSQC, and 1H−13C HMBC spec a, which we e eco ded using s anda d B uke sequences, and wi h he help o he Chenomx da abase (Chenomx, Edmon on, Canada), public NMR da abases (HMDB), and li e a u e. 17−19 Quan ifica ion o me aboli es was achie ed h ough he in eg a ed alues o he ela ed peak a eas o nono e lapped signals in ela ion o he inne s anda d (TSP). 2.8. Quan ifica ion o Fa y Acids A e NMR acquisi ion, se um samples we e eeze-d ied o 72 h. Then, he a y acid con en and p ofile in se um samples and also in he pelle s we e de e mined by gas ch oma og aphy (Agilen Technologies 6890 N Se ies Gas Ch oma og aph, San a Cla a, CA) a e di ec anses e ifica ion, as desc ibed by Rod iguez-Ruiz e al. 20 2.9. S a is ical Da a Analysis SIP acquisi ion da a we e analyzed using wo-way epea ed- measu es analysis o a iance (ANOVA) wi h be ween-subjec ac o (g oup: HD and LD) and wi hin-subjec ac o (session: 19 sessions). Pos hoc compa isons we e pe o med using he Bon e oni co ec ion. The s a is ical significance was se a p< 0.05, and he effec size was epo ed when app op ia e: Pa ial η2 alues a e epo ed and conside ed as small (0.01), medium (0.06), o la ge (0.14) ollowing Cohen 21 ecommenda ions. All analyses we e ca ied ou using S a is ica so wa e (S a so , e sion 6.0). Wi h espec o chemome ics analyses o 1H NMR spec al da a, AMIX 3.9.15 (B uke BioSpin) so wa e was used o bucke ing NMR spec a using wo ypes o bucke ing p ocesses: (1) egula bucke ing employing a bucke size o 0.04 ppm and (2) a iable bucke ing o NMR peaks assigned o specific me aboli es ( o uni a ia e s a is ical analyses). In bo h cases, no maliza ion was achie ed by scaling he in ensi y o indi idual peaks o he o al in ensi y eco ded in he egion om δH0.2 o 10.0 ppm, excep o he egion o δH5.2 o 4.74 ppm con aining he esidual signal o H2O, which was emo ed. NMR egula bucke ed da a was in es iga ed by means o p incipal componen analysis (PCA) in explo a o y s udies and by pa ial leas -squa es disc iminan analysis (PLS-DA) o o hogonal pa ial leas -squa es disc iminan analysis (OPLS-DA) o de e mine he exis ence o diffe ences be ween expe imen al g oups and o iden i y he me abolic ea u es esponsible o hei disc imina ion. This mul i a ia e da a analysis was pe o med using SIMCA-P so wa e ( . 17.0, Ume ics). The esul s o he c oss- alida ion o PLS-DA and OPLS-DA models a e gi en by means o cumula i e R2and Q2 alues, whe e Q2 alues o >0.5 we e conside ed indica i e o a good p edic i e model. Models we e also alida ed by being subsequen ly subjec ed o pe mu a ion es s (a o al o 100), and he new coefficien s R2and Q2gene a ed om he pe mu a ion es we e Figu e 2. Means (±SEM) o (A) wa e in ake and (B) numbe o licks in FT-60s ac oss 19 sessions o SIP. S a is ical analyses indica ed significan diffe ences be ween low d inke s (LDs, n= 20) and high d inke s (HDs, n= 20; ** p< 0.01) in bo h wa e in ake and o al licks. Significan diffe ences om session 1 we e ound in HDs om session 6 in wa e in ake (## p< 0.01) and om session 8 (### p< 0.001) onwa d. Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 614 compa ed wi h hose om he eal model. I in e cep R2and Q2 alues om he pe mu a ion es we e significan ly smalle han Q2o he eal model, hen he model was ega ded as p edic able. The s a is ical significance o he es ima ed p edic i e powe o PLS-DA and OPLS-DA models was u he assessed wi h an ANOVA es o he c oss- alida ed esiduals (c -ANOVA). Models wi h p alues o <0.05 we e conside ed o ha e a good p edic ion. Impo an loadings (spec al egions) o he disc imina ion obse ed om he p edic i e models we e selec ed by gene a ing he a iable impo ance in p ojec ion (VIP) plo . Loadings wi h VIP sco es o >1 we e conside ed ele an o he gene a ed PLS- DA and OPLS-DA models. ANOVA (analysis o a iance) analyses ollowed by leas significan diffe ence (LSD) pos hoc es s we e employed o de e mine he significance o diffe ences o he me aboli e a ios be ween g oups; p alues o <0.05 we e conside ed s a is ically significan . Finally, me abolic changes wi h alse disco e y a e (FDR)-adjus ed p alues (q alues) o <0.05 we e conside ed. 3. RESULTS AND DISCUSSION 3.1. SIP Acquisi ion LD and HD beha io is clea ly e idenced by no only he wa e in ake bu also he numbe o licks, as p e iously men ioned. Figu e 2 shows SIP acquisi ion and main enance du ing 19 sessions. One-way epea ed ANOVA measu es e ealed diffe - ences in he SIP acquisi ion conce ning wa e in ake, as shown by he in e ac ion be ween sessions and g oup (in e ac ion SIP session ×g oup effec : (F18, 666 = 9.146, p< 0.001, pa ial η2= 0.198). This effec was also confi med by he significan in e ac ion in o al licks (in e ac ion SIP session ×g oup effec : F18, 576 = 8.445, p< 0.001, pa ial η2= 0.208). Apos hoc compa ison e ealed ha SIP induced diffe en d inking beha io s ac oss he 19 sessions in high and low d inke s: LD and HD animals exhibi ed ema kable diffe ences in wa e in ake om session 6 (p< 0.01) onwa d. Mo eo e , when compa ed wi h session 1, he HD g oup significan ly inc eased i s wa e consump ion om session 4 (p< 0.01) onwa d. A simila pa e n was ound conce ning o al licks, whe e LD and HD g oups diffe ed om session 8 (p< 0.01) onwa d, and HD showed an inc eased numbe o licks om session 4 (p< 0.001) onwa d compa ed wi h session 1. No significan diffe ences we e ound be ween LD and HD animals conce ning o al magazine en ies. 3.2. Assignmen o Me aboli es in Blood Se um De ec ed by 1H NMR Spec oscopy The assignmen o each me aboli e p esen in se um samples was achie ed and is illus a ed in Figu e 3.Table S1 p o ides ull in o ma ion on chemical shi s, mul iplici y, and coupling cons an s o each me aboli e o o each me aboli e- ype compound. The assigned me aboli es belong mos ly o he classes o amino acids ( aline, isoleucine, leucine, alanine, lysine, glu ama e, glu amine, aspa a e, y osine, and phenylalanine) and de i a i es (e.g., 3-hyd oxybu y a e, c ea ine), o ganic acids (ace ic acid, ace oace ic acid, ci ic acid, and py u ic acid), ca bohyd a es (α-andβ-glucose), choline (Cho)-based compounds, which a e essen ial componen s o cellula memb anes, polyols (e.g., glyce ol), and a y acids. T ime hyl- amine N-oxide is an osmoly e used by he body o coun e ac he effec s o inc eased u ea concen a ion ha accumula es du ing kidney ailu e and was also ound in he spec a. Ke one bodies like 3-hyd oxybu y a e, ace a e, and ace oace a e, gene ally induced by as ing, 17 could also be ound in a se um samples. Figu e 3. Sub egions o a ypical 1H NMR spec um (600 MHz) o a blood se um sample aken o a a om p e-SIP g oup. Nume a ion: 1: LDL/ VLDL, 2: a y acids (FA), 3: leucine, 4: isoleucine, 5: aline, 6: 3-hyd oxybu y a e (3HB), 7: E OH, 8: lac a e, 9: alanine, 10: lysine, 11: ace a e, 12: glu ama e, 13: glu amine, 14: ace oace a e, 15: py u a e, 16: ci a e, 17: PUFA, 18: aspa a e, 19: c ea ine, 20: choline, 21: ime hylamine N-oxide (TMAO), 22: glyce ol, 23: glucose, 24: UFA, 25: py imidine, 26: uma a e, 27: y osine, 28: his idine, 29: phenylalanine, 30: o ma e. Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 615 Figu e 4. (A) OPLS-DA sco e plo ob ained o 1H NMR da a o samples aken p io o (n= 40) and a e SIP (n= 38). (B) S-plo showing he mos significan me aboli es o disc imina ion (me aboli es wi h VIP > 1 alues a e colo ed): Bo om le me aboli es we e significan ly dec eased (alanine: loadings 1.46, 1.50; lac a e: loadings 1.34, 4.14; UFA: loadings 5.34, 2.06, 2.18, 2.26, 0.94), whe eas hose loca ed a he op igh we e inc eased pos - SIP (choline: loading 3.22; ci a e: loadings 2.54, 2.70; ace a e: loading 1.94; ace oace a e: loading 2.22; glucose: loadings 3.34, 3.38, 3.42, 3.46, 3.54, 3.66, 3.78, 3.82, 5.26; e hanol: loadings 1.18, 3.66; and LDL/VLDL/sa u a ed a y acids: loadings 0.86, 1.26, 1.30, 2.14). Pa e o scaling was ca ied ou . R2X= 0.639, Q2= 0.764, p(c -ANOVA) = 7.0 ×10−18. The model was alida ed by a pe mu a ion es (wi h 100 pe mu a ions). Figu e 5. OPLS-DA (A) sco e and (B) con ibu ion plo s ob ained o 1H NMR da a o pos -SIP samples ha we e classified as LD (n= 20) and HD (n= 18). Posi i e and nega i e ba s in he con ibu ion plo explain he spec al egions con aining me aboli es ha disc imina e o HD and LD samples, espec i ely. These include glu amine (loadings 2.14, 2.46), a y acids/LDL/VLDL (loadings 0.86, 0.90, 0.94, 1.26, 1.30, 1.34, 2.02, 2.06, 2.26, 2.30), 3-hyd oxybu y a e (HB, loadings 2.32, 2.40, 4.16), choline (loading 3.22), and lac a e (1.34, 4.10), which inc eased in HD d inke s, and e hanol (loadings 1.18, 3.66), alanine (loading 1.50), glyce ol (loadings 3.62, 3.66), and glucose (loadings 5.26, 4.66, 3.90, 3.86, 3.74, 3.46, 3.26), which dec eased. Only he samples om e y low d inke s (<10 mL) and e y high d inke s (>20 mL) we e conside ed. Pa e o scaling was ca ied ou . R2X= 0.68, Q2= 0.58, p(c -ANOVA) = 0.032. Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 616 3.3. Chemome ics Analyses o 1H NMR Spec al Da a Mul ipa ame ic s a is ical ools we e applied o NMR da a in he analyses o a s se um samples o e alua e changes in he me abolic p ofiles in he p esence o OCD. Blood samples we e aken a ou diffe en imes du ing he expe imen : p e- and pos -SIP and p e- and pos -pelle (as indica ed in Figu e 1). An explo a o y analysis o NMR da a was fi s achie ed by means o PCA ha clus e ed simila samples oge he based on he inpu da a (Figu e S1). PCA is use ul o e ealing he majo ends in he 1H NMR da a and he possible analy ical and biological con ounde a iables. On he basis o he PCA esul s, a sligh di ision o samples be ween p e- and pos -SIP g oups (Figu e S1a) and be ween p e- and pos -pelle g oups (Figu e S1b)is e iden , independen o he obsessi e-compulsi e beha io o he a s. 3.3.1. Diffe en ia ion o P e-SIP and Pos -SIP Se um Samples. To imp o e he disc imina ion obse ed be ween p e-SIP and pos -SIP da a, we applied an OPLS-DA model o he 1H NMR da a (Figu e 4A). The chosen p ep ocessing me hod con ains he o hogonal signal co ec ion (OSC), which Figu e 6. Box plo s showing he a e age, median qua iles, and ex emes o specific peak in eg a ion alues ( ela i e o he TSP peak in eg al and no malized o o al spec a in ensi y) o 3-hyd oxybu y a e, glu amine, lac a e, choline, LDL/VLDL, and FA le els, excep o UFA, which inc eased pos -SIP o HD a s, and glyce ol, alanine, and glucose, which dec eased pos -SIP o HD a s when compa ed wi h LD a s. All o hese me aboli es p esen ed p alues o <0.05 using ANOVA analyses ollowed by he leas significan diffe ence (LSD) pos hoc es s in pos -SIP. Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 617 allows one o elimina e unnecessa y in o ma ion. In he OSC p ocedu e, he X ma ix was co ec ed by a sub ac ion o a ia ion o hogonal o he y(con aining he classes o each sample, in his case, p e-SIP e sus pos -SIP) ec o calib a ion. The co esponding S-plo (Figu e 4B) e ealed he mos ele an me aboli es o he disc imina ion (wi h VIP alues >1). Me aboli es o he bo om le we e significan ly dec eased (alanine, lac a e, unsa u a ed a y acids), whe eas hose loca ed a he op igh we e inc eased pos -SIP (choline, ci a e, ace a e, ace oace a e, e hanol, glucose, and LDL/VLDL/sa u a ed a y acids). The esul s indica e ha SIP induced changes in lipid- me abolism- ela ed molecules ( a y acids and choles e ol le els, choline, ace a e, ace oace a e, glu amine) and ene gy me abo- lism ( ela ed o he ica boxylic acid (TCA) cycle). Ace a e is o med in he body by he me abolism o ce ain subs ances, in pa icula , in he li e in he oxida ion o lipids. I is a p ecu so o ace yl-CoA, which is used by cells o he syn hesis o a y acids and choles e ol. To u he in es iga e i a diffe en ial effec is induced by he pa adigm in HD and LD g oups, we added his a iable o he model in he ollowing analysis (de ailed in Sec ion 3.3.2). 3.3.2. Diffe en ia ion be ween LD and HD G oups in P e- and Pos -SIP Se um Samples. A alid disc imina ion be ween LD and HD d inke s was ound only o pos -SIP samples a e he applica ion o an OPLS-DA model (Figu e 5). This means ha i was no possible o obse e me abolic changes a p io i o he SIP p ocedu e, so i would no be possible o “p edic ” he beha io o each a based on se um me abolic p ofiles. To ob ain a alid model, we emo ed se um samples o a s showing a d inking olume be ween 10 and 20 mL om he model. So, his model ied o maximize diffe ences be ween e y low d inke s (<10 mL) and e y high d inke s (>20 mL). The blood se um o pos -SIP HD a s specifically showed inc eased low-densi y lipop o ein (LDL)/ e y low-densi y lipop o ein (VLDL), a y acid (excep unsa u a ed a y acids), 3-hyd oxybu y a e, glu amine, choline, and lac a e le els, accompanied by a dec ease in glyce ol, glucose, alanine, and e hanol le els when compa ed wi h pos -SIP LD a s. Figu e 6 shows he box-and-whiske plo s o no malized in eg a ion alues o peaks om hese al e ed me aboli es ( ela i e o TSP signal in eg al) wi h an indica ion o he in eg a ion anges, median qua iles, and ex emes. These esul s sugges ha lipid-me abolism- ela ed molecules (including o al choles e ol (TC) con en , glu amine, choline, and glyce ol) migh be associa ed wi h a compulsi e beha io pheno ype du ing SIP. To u he suppo he obse ed ends, we conduc ed he iden ifica ion and quan ifica ion o a y acid p ofiles in se um samples by gas ch oma og aphy wi h flame ioniza ion de ec ion (GC-FID) (Figu e 7). The polyunsa u a ed a achidonic acid (C20:4n6) was ound o be he majo a y acid in he samples ollowed by he sa u a ed palmi ic acid (C16:0) and by linoleic acid (C18:2n6) and oleic acid (C18:1n9). HD a s showed an inc ease in he sa u a ed palmi ic acid (C16:0), he monounsa u a ed oleic acid (C18:1n9), and he polyunsa- u a ed linoleic acid (C18:2n6) compa ed wi h LD a s (p< 0.05) and a dec ease in a achidonic acid, he majo polyunsa u a ed a y acid (PUFA) in se um samples. As shown in Figu e 7, s a is ically significan p e-SIP diffe ences be ween LDs and HDs exis and emain cons an pos -SIP. These esul s ag ee well wi h NMR esul s ha de ec ed an inc ease in a y acid/LDL/VLDL con en in HD a s, excep o UFA. In e es ingly, GC-FID analysis showed ha he o al PUFA con en was significan ly highe in LD a s compa ed wi h HD a s al eady in p e-SIP samples (p< 0.05). These esul s a e in iguing because some p eclinical s udies ha e also ound a simila ou pu in compulsi e animals: Inc eased TC, VLDL, and LDL le els we e ound in dogs exhibi ing ail chasing (a s e eo yped beha io p oposed as a alid p eclinical model o s udying OCD in animals) 22 in compa ison wi h con ol subjec s, 23,24 whe eas dec eased glucose se um le els we e ound in highly compulsi e a s selec ed by SIP compa ed wi h noncompulsi e animals. 25 In human s udies, OCD pa ien s ha e been shown o exhibi highe high-densi y lipop o ein (HDL) se um le els han heal hy con ols. 26 Mo eo e , B ennan e al. 27 pe o med a c i ical e iew o 1H magne ic esonance imaging s udies on OCD in b ain issues and concluded ha changes in glu ama e/ glu amine le els we e common among pa ien s e sus heal hy indi iduals, al hough some inconsis encies ha e been un a eled. Fo ins ance, some s udies epo ed a dec ease whe eas o he s epo ed an inc ease in he glu ama e-glu amine (Glx) le el. Also, choline was e e ed o be a c ucial bioma ke in OCD, and mos s udies showed an inc ease in his me aboli e in OCD indi iduals. Simila ly, o he neu opsychia ic condi ions ela ed o inhibi o y con ol ha e been s udied ega ding me abolic changes. Schwa z e al. 28 epo ed significan al e a ions o b ain issue ee a y acids and phospha idylcholine le els in subjec s wi h schizoph enia and bipola diso de using a high- h oughpu mass spec ome y app oach (UPLC−MS) and sugges ed ha lipid abno mali ies may be an in insic ea u e o bo h schizoph enia and bipola diso de . A maca e al. 29 obse ed dec eased se um choles e ol and lep in le els in bipola diso de pa ien s, whe eas Ozbulu e al. 30 ound dec eased se um gh elin and inc eased TC le els in eu hymic pa ien s unde li hium ea men when compa ed wi h con ols. In dep ession, Kaddu ah-Daouk and K ishnan 31 epo ed ha a y acids, glyce ol, and γ-aminobu y ic acid (GABA) we e al e ed in cu en ly dep essed pa ien s when compa ed wi h con ols. Also, an inc ease in he concen a ion o he ke one 3- hyd oxybu y ic acid was ound in emi ed pa ien s ela i e o dep essed pa ien s. Fu he mo e, Nakaza o e al. 32 ound a ela ionship be ween inc eased glu amine se um le els and compulsi e-like beha io , as assessed by o al and pe se e a i e e o s in se -shi ing asks in subjec s eco e ed om ano exia ne osa, which also is adop ed in he impulsi e-compulsi e spec um. Figu e 7. Fa y acid quan ifica ion by GC-FID. Ba s wi h (*) and (**) e ealed a significan inc ease and dec ease (p< 0.05 by uni a ia e es s), espec i ely, in he lipid con en in he se um o HD a s compa ed wi h LD a s. Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 618 I could be a gued, howe e , ha hese me abolic effec s migh ha e been induced by die due o he me e exposu e o ewa d pelle s du ing SIP sessions. Indeed, obese indi iduals ha e been epo ed o exhibi poo e beha io al inhibi ion 18 and a s onge a en ional bias owa d ood 33,34 compa ed wi h heal hy subjec s. Mo eo e , impulsi e beha io seems o be co ela ed wi h a highe consump ion o as ood 35 and a highe body mass index (BMI), 36 whe eas in p eclinical models, exposu e o highly pala able, a - ich die s has been shown o induce compulsi e ood-seeking beha io 37−39 and o affec ma ble bu ying beha io . 40−42 Thus o explo e ha possibili y, we planned and ca ied ou an addi ional expe imen whe e a coho o animals we e subjec ed o 19 sessions o exposu e o ewa d pelle s, as desc ibed in he Me hods sec ion. 3.3.3. Diffe en ia ion be ween P e-Pelle and Pos - Pelle Se um Samples. A PLS-DA model was gene a ed o in es iga e he me abolic diffe ences be ween se um samples collec ed be o e and a e he con ol die expe imen . A alid disc imina ion be ween p e- and pos -pelle g oups was ound in he sco e plo (Figu e 8A), meaning ha he ewa d pelle s had effec s on he se um me abolic composi ion. The loading plo (Figu e 8B) highligh s he mos significan a iables o he model by desc ibing he influence and ela ion among he a iables in he model plane. The e o e, i is possible o conclude ha he peaks in spec al zones should be significan ly inc eased (uppe igh loadings) and dec eased (bo om le loadings) in he blood se um due o he exposu e o ewa d pelle s in his con ol expe imen (VIP alues >1) and also due o a physiological me abolic e olu ion o e ime. An inc ease in c ea ine, ci a e, glucose, lysine, glu amine/glu ama e, ace a e, and PUFAs was de ec ed in he blood se um a e such exposu e. The spec al zones in he bo om le o he loading plo e e ing o he me aboli es ha dec ease in pos -pelle se um include choline and o he spec al egions ha mos ly co espond o noise and we e no ele an o analyses, so hese we e no conside ed. As in he p e ious se o expe imen s, he lipid p ofile o he pelle s was in es iga ed and quan ified by GC-FID (Table S2). The ewa d pelle s du ing he SIP expe imen showed a 2.3- old inc ease in a y acid con en , including on PUFAs. Because he model was no able o disc imina e be ween HDs and LDs ei he p e- o pos -exposu e o ewa d pelle s, i is plausible o assume ha such al e a ions affec ed bo h g oups equally, hus poin ing o he idea ha he SIP pa adigm, and no he die , is esponsible o he me abolic al e a ions obse ed in he ulne able subjec s, he HD g oup. The e a e se e al unde lying mechanisms ha should be in es iga ed in he u u e ega ding he me abolic al e a ions obse ed in he compulsi e-d inking HD g oup selec ed by SIP, o example, he possible ole o an al e ed asop essin, a ho mone implica ed in he me abolic synd ome, ha d i es a p oduc ion as a mechanism o s o ing me abolic wa e . 43 Fu he mo e, he ele ance o gu mic obio a dys egula ion in diffe en neu opsychopa hological diso - de s 44−46 should be conside ed in he me abolic al e a ions obse ed in compulsi e HD a s. In his sense, in ou labo a o y, we ha e demons a ed ha compulsi e HD a s showed a lowe bac e ial di e si y han LD a s, i espec i e o he die . 47 Howe e , he same s udy also demons a ed ha he adminis a ion o a yp ophan-deple ed die educed bac e ial e enness and showed a highly unc ionally o ganized communi y in he compulsi e HD a s selec ed by SIP. This poin s owa d a bac e ial communi y ha is agile o ex e nal changes due o he dominance o a low numbe o species in compulsi e HD a s compa ed wi h noncompulsi e LD a s. The d ama ic effec ound in he p esen wo k adds e idence no only o he s ess ul p ope ies o in e mi en ein o cemen in SIP inducing compulsi e beha io bu also o se e e physiological effec s, such as inc eased co icos e one le els, 25 inc eased amygdaloid and dec eased hippocampal olume, 15 and inc eased dend i ic spinal densi y in he do sal s ia um. 48 In his sense, he a o emen ioned finding o inc eased glu amine le els in HD in he p esen s udy is no su p ising gi en i s majo ole in he b ain as he p ecu so o glu ama e, which is a key ac o ega ding neu oplas ici y 49,50 and one o he al e ed mechanisms 51 and pu a i e he apeu ic a ge s 52 in compulsi e d inking in SIP. 4. CONCLUSIONS The p esen s udy has in es iga ed he me abolomic p ofile by means o NMR o high- and low-compulsi e a s selec ed by SIP Figu e 8. (A) PLS-DA sco e plo ob ained o 1H NMR da a o samples be o e (n= 20) and a e (n= 20) changing he die o ewa d pelle s (p e- and pos -pelle , espec i ely). (B) PLS-DA loading plo e ealing he mos significan me aboli es o disc imina ion (wi h VIP alues >1), which co espond o c ea ine (loadings 3.06, 3.94), glucose (loadings 5.26, 3.94, 3.78, 3.74, 3.56, 3.50, 3.26), PUFA (loading 2.78), lysine (loadings 1.50, 1.74), ace a e (loading 1.94), o ma e (loading 8.46), and glu amine/glu ama e (loadings 2.14, 2.46, 2.36), which inc eased in pos -pelle samples, and choline (loadings 3.22), which dec eased. Uni - a iance scaling was ca ied ou . R2X= 0.65, Q2= 0.90, p(c -ANOVA) = 6.5 ×10−9. The model was alida ed by a pe mu a ion es (wi h 100 pe mu a ions). Jou nal o P o eome Resea ch pubs.acs.o g/jp A icle h ps://doi.o g/10.1021/acs.jp o eome.1c00857 J. P o eome Res. 2022, 21, 612−622 619 as a po en ial ool o iden i ying c i ical bioma ke s in ulne able subjec s. We ound ha al hough SIP i sel induced a change in he me abolomic p ofile, i affec ed he HD animals diffe en ly, which showed a hype lipidemic, hypoglycemic, and hypoglu amine gic p ofile, compa ed wi h he LD animals, in line wi h he li e a u e ega ding bo h p eclinical models and human pa ien s in OCD and ela ed diso de s. Mo eo e , me e exposu e o ewa d pelle s did no esul in a alid model o p edic ing he pheno ypic p ofile based on me abolomics, hus leading us o disca d an effec due o die alone. Ou da a add significan e idence o a c ucial opic in basic neu oscience and po en ially clinical fields; howe e , u u e s udies a e ongoing in ou labo a o ies o unsc amble his complex phenomenon and o u he cha ac e ize he pu a i e ole o me abolism in he igge ing and ea ly iden ifica ion o la en ulne abili ies. In addi ion, he pu a i e impac o a high- a die on inhibi o y con ol defici and he po en ial use o me abolomic bioma ke s in he ea ly diagnose o compulsi e spec um diso de s a e en isaged as well. ■ASSOCIATED CONTENT * sıSuppo ing In o ma ion The Suppo ing In o ma ion is a ailable ee o cha ge a h ps://pubs.acs.o g/doi/10.1021/acs.jp o eome.1c00857. Table S1. Peak assignmen o me aboli es iden ified. Table S2. GC-FID a y acid p ofiles. Figu e S1. PCA sco e plo s ob ained om 1H NMR da a (PDF) ■AUTHOR INFORMATION Co esponding Au ho s Ma ga i a Mo eno −Depa men o Psychology and Heal h Resea ch Cen e CEINSA, Uni e si y o Alme ía, 04120 Alme ía, Spain; Email: [email p o ec ed] Ignacio Fe nández −Depa men o Chemis y and Physics, Resea ch Cen e CIAIMBITAL, Uni e si y o Alme ía, 04120 Alme ía, Spain; o cid.o g/0000-0001-8355-580X; Phone: +34 950214465; Email: [email p o ec ed] Au ho s Ana C. Ab eu −Depa men o Chemis y and Physics, Resea ch Cen e CIAIMBITAL, Uni e si y o Alme ía, 04120 Alme ía, Spain San iago Mo a −Depa men o Psychology and Heal h Resea ch Cen e CEINSA, Uni e si y o Alme ía, 04120 Alme ía, Spain; P esen Add ess: San iago Mo a - Depa men o Neu oscience and Facul y o Heal h and Medical Sciences, Uni e si y o Copenhagen, 2200 Copenhagen, Denma k Ana Isabel T is án −Depa men o Chemis y and Physics, Resea ch Cen e CIAIMBITAL, Uni e si y o Alme ía, 04120 Alme ía, Spain Elena Ma ín-González −Depa men o Psychology and Heal h Resea ch Cen e CEINSA, Uni e si y o Alme ía, 04120 Alme ía, Spain A  ngeles P ados-Pa do −Depa men o Psychology and Heal h Resea ch Cen e CEINSA, Uni e si y o Alme ía, 04120 Alme ía, Spain Comple e con ac in o ma ion is a ailable a : h ps://pubs.acs.o g/10.1021/acs.jp o eome.1c00857 Au ho Con ibu ions § A.C.A. and S.M. con ibu ed equally. Funding This esea ch has been unded by he S a e Resea ch Agency o he Spanish Minis y o Science, Inno a ion and Uni e si ies (CTQ2017-84334-R), Jun a de Andalucia (102C2000004, UAL-FEDER 2020-AGR-B1781, UAL-FEDER 2020-CTS- D2068, P20_01041, and CV20-78799), and he Gobie no de Espana MCIN/AEI/10.13039/501100011033/Union Eu opea “Nex Gene a ionEU”/PRTR (PDC2021-121248-I00 and PLEC2021-007774) and MCIN/AEI/10.13039/ 501100011033/FEDER “Unamane adehace Eu opa” (PGC2018-099117-B-C21). A.C.A. hanks he Uni e si y o Alme ia o he Hipa ia schola ship. We hank P o . Ma ia del Ca men Ce on Ga cia (Uni e si y o Alme ia) o hei help ul assis ance ega ding GC-FID measu emen s. No es The au ho s decla e no compe ing financial in e es . ■REFERENCES (1) Robbins, T. W.; C ocke , M. J. Chap e 3.8 - Role o Cen al Se o onin in Impulsi i y and Compulsi i y: Compa a i e S udies in Expe imen al Animals and Humans. In Handbook o Beha io al Neu oscience;Mu lle , C. P., Jacobs, B. 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