Ariel Frajerman

Dr. Ariel Frajerman

Université Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, Île-de-France, France
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in European Psychiatry
Verified
Journal Article
Closed access
AFAriel Frajerman
Ariel Frajerman
YMYannick Morvan
Yannick Morvan
MKMarie-Odile Krebs
Marie-Odile Krebs
Philip PAM GORWOODPhilip PAM GORWOOD
Philip PAM GORWOOD
BCBoris Chaumette
Boris Chaumette
Background: Applying the concept of burnout to medical students before residency is relatively recent. Its estimated prevalence varies significantly between studies. Our objective was to estimate the prevalence of burnout in medical students worldwide.Methods: We systematically searched Medline for English-language articles published between January 1, 2010 and December 31, 2017. We selected all the original studies about the prevalence of burnout in medical students before residency, using validated questionnaires for burnout. Statistical analyses were conducted using the OpenMetaAnalyst software.Results: Prevalence of current burnout was extracted from 24 studies encompassing 17,431 medical students. Among them, 8060 suffered from burnout and we estimated the prevalence to be 44.2% [33.4%–55.0%]. The information about the prevalence of each subset of burnout dimensions was given in nine studies including 7588 students. Current prevalence was estimated to be 40.8% for ‘emotional exhaustion’ [32.8%–48.9%], 35.1% [27.2%–43.0%] for ‘depersonalization’ and 27.4% [20.5%–34.3%] for ‘personal accomplishment’. There is no significant gender difference in burnout. The prevalence of burnout is slightly different across countries with a higher prevalence in Oceania and the Middle East than in other continents.Conclusions: The results of this meta-analysis suggest that one student out of two is suffering from burnout, even before residency. Again, our findings highlight the high level of distress in the medical population. These results should encourage the development of preventive strategies.

4 October 2016 in Translational Psychiatry
Verified
Journal Article
Open access
PDF file
CTC Tessier
C Tessier
KSK Sweers
K Sweers
AFAriel Frajerman
Ariel Frajerman
HBH Bergaoui
H Bergaoui
FFF Ferreri
F Ferreri
PNPhilippe Nuss
Philippe Nuss
Schizophrenia is a severe mental condition in which several lipid abnormalities—either structural or metabolic—have been described. We tested the hypothesis that an abnormality in membrane lipid composition may contribute to aberrant dopamine signaling, and thereby symptoms and cognitive impairment, in schizophrenia (SCZ) patients. Antipsychotic-medicated and clinically stable SCZ outpatients (n=74) were compared with matched healthy subjects (HC, n=40). A lipidomic analysis was performed in red blood cell (RBC) membranes examining the major phospholipid (PL) classes and their associated fatty acids (FAs). Clinical manifestations were examined using the positive and negative syndrome scale (PANSS). Cognitive function was assessed using the Continuous Performance Test, Salience Attribution Test and Wisconsin Card Sorting Test. Sphingomyelin (SM) percentage was the lipid abnormality most robustly associated with a schizophrenia diagnosis. Two groups of patients were defined. The first group (SCZ c/SM−) is characterized by a low SM membrane content. In this group, all other PL classes, plasmalogen and key polyunsaturated FAs known to be involved in brain function, were significantly modified, identifying a very specific membrane lipid cluster. The second patient group (SCZ c/SM+) was similar to HCs in terms of RBC membrane SM composition. Compared with SCZ c/SM+, SCZ c/SM− patients were characterized by significantly more severe PANSS total, positive, disorganized/cognitive and excited psychopathology. Cognitive performance was also significantly poorer in this subgroup. These data show that a specific RBC membrane lipid cluster is associated with clinical and cognitive manifestations of dopamine dysfunction in schizophrenia patients. We speculate that this membrane lipid abnormality influences presynaptic dopamine signaling.

8 March 2022 in Journal of Affective Disorders
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Journal Article
Closed access
FRFranck Rolland
Franck Rolland
NHNawale Hadouiri
Nawale Hadouiri
AHAdrien Haas-Jordache
Adrien Haas-Jordache
EGEvan Gouy
Evan Gouy
LMLoona Mathieu
Loona Mathieu
AFAriel Frajerman
Ariel Frajerman

1 September 2024 in The World Journal of Biological Psychiatry
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Journal Article
Closed access
XHXenia Marlene Hart
Xenia Marlene Hart
GGGerhard Gründer
Gerhard Gründer
NANicolas Ansermot
Nicolas Ansermot
ACAndreas Conca
Andreas Conca
ECEmmanuelle Corruble
Emmanuelle Corruble
CEChin B. Eap
Chin B. Eap
For psychotic disorders (i.e. schizophrenia), pharmacotherapy plays a key role in controlling acute and long-term symptoms. To find the optimal individual dose and dosage strategy, specialized tools are used. Three tools have been proven useful to personalize drug treatments: therapeutic drug monitoring (TDM) of drug levels, pharmacogenetic testing (PG), and molecular neuroimaging. In these Guidelines, we provide an in-depth review of pharmacokinetics, pharmacodynamics, and pharmacogenetics for 50 antipsychotics. Over 30 international experts in psychiatry selected studies that have measured drug concentrations in the blood (TDM), gene polymorphisms of enzymes involved in drug metabolism, or receptor/transporter occupancies in the brain (positron emission tomography (PET)). Study results strongly support the use of TDM and the cytochrome P450 (CYP) genotyping and/or phenotyping to guide drug therapies. Evidence-based target ranges are available for titrating drug doses that are often supported by PET findings. All three tools discussed in these Guidelines are essential for drug treatment. TDM goes well beyond typical indications such as unclear compliance and polypharmacy. Despite its enormous potential to optimize treatment effects, minimize side effects and ultimately reduce the global burden of diseases, personalized drug treatment has not yet become the standard of care in psychiatry.


16 August 2022 in Journal of Affective Disorders Reports
Verified
Journal Article
Open access
AFAriel Frajerman
Ariel Frajerman
BCBoris Chaumette
Boris Chaumette
MKMarie-Odile Krebs
Marie-Odile Krebs
YMYannick Morvan
Yannick Morvan
The mental health of health students is considered a public health issue which increased dramatically with the COVID 19’s pandemic. Few studies have assessed the prevalence of depression in medical, pharmacy, and dental students. Our goal was to assess mental health in health students from the same university and identify the associated factors. An online survey was sent to the health students of the University of Paris in 3 specialties (medicine, pharmacy, and dentistry). We used the Hospitalization Anxiety and Depression scale, the Composite International Diagnostic Interview-Short Form and the Maslach Burnout Inventory (with 2 versions: the Human Services Survey for clinical students and residents and the Student survey for the others). The presence of suicidal ideation, humiliation, sexual harassment, and sexual aggression over twelve-months was also measured. We performed multivariable logistic regression analyses to identify the associated factors of Major Depressive Episodes (MDE). 1925 students answered the survey. The overall prevalence of 7-day anxiety and depressive symptoms, MDE, suicidal ideation, humiliation, sexual harassment, and sexual aggression were 55%, 23%, 26%, 19%, 19%, 22%, and 5.5%, respectively. Burnout was present in 42% of nonclinical students and 65% of clinical students and residents. Multivariable logistic regression identified several associated factors of MDE: moderate (OR = 1.49,CI95[1.17-1.90]) or major (OR = 2.32,CI95[1.68-3.20]) subjective financial difficulties, humiliation (OR = 1.71,CI95[1.28-2.28]), sexual abuse (OR = 1.65,CI95[1.04-2.60]), and sexual harassment (OR = 1.60,CI95[1.19-2.16]). This is one of the largest studies comparing dental, pharmacy and medical students from the same university. We found elevated prevalences of psychiatric symptoms with variation depending on specialty.