Bernardo Maria Dell'Osso’s research while affiliated with University of Milan and other places

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Publications (30)


Esketamine Treatment Trajectory of Patients with Treatment-Resistant Depression in the Mid and Long-Term Run: Data from REAL-ESK Study Group
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January 2025

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113 Reads

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1 Citation

Current Neuropharmacology

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Giuseppe Maina

Introduction/Objective Data on long-term treatment with Esketamine Nasal Spray (ESKNS) in real-world patients with treatment resistant depression (TRD) is scarce. The primary aim of the study is to evaluate the effectiveness and tolerability of ESK-NS treatment at 6 and 12-month follow-ups. Methods This is part of an observational, retrospective, multicentric Italian study (REAL-ESK study). Subjects for the present study underwent psychiatric assessments after 6 and 12 months from the start of ESK-NS treatment. Repeated measures analysis of variance (ANOVA) was used to assess changes in continuous variables, such as scores on psychometric scales from baseline to follow-up time points. Results Of 63 patients who maintained ESK-NS treatment for at least 6 months, 48 were responders or remitters (76.2%). Among 15 non-responders at 6 months, 4 significantly improved at 12-month follow-up. At least one side effect was reported by 71.8% of subjects with a 6-month follow-up assessment. An overall reduction of side effects was noticed as treatment progressed (42% of patients who continued the treatment reported side effects at 12 months). The most common side effects were sedation (31.7%) and dissociation (28.6%) during ESK-NS sessions. Only 2 patients discontinued ESK-NS for tolerability reasons. Conclusion The results support the effectiveness and safety of esketamine in the mid and long-term treatment of TRD patients. The late clinical response of a subgroup of patients represents a novel finding. Data needs to be confirmed in larger samples and longer observation periods.


Suicidal Ideation and Behaviour in the Frame of COVID-19 Pandemic: The Experience of Five Emergency Departments in Lombardy

November 2024

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17 Reads

Suicide is a global phenomenon, with more than 700,000 people worldwide taking their own life yearly. Both natural and human-made disaster may have a detrimental effect on suicidal behaviors both in the short-term and in the long-term. Many studies focused on the acute impact of the COVID-19 pandemic on suicidality. The aim of the study was to analyze demographic and clinical features of subjects accessing the emergency rooms for suicidality during the second epidemic wave of COVID-19 in five emergency departments in Lombardy (Italy). A retrospective chart review was conducted in the five emergency departments for the period 4 June – 31 December 2020, and during the same time lapse in 2019. For all subjects accessing for suicidality, socio-demographic and clinical data were collected and compared between the two years. No differences between the two years were found for sex, triage priority level, history of substance abuse, factor triggering suicidality and discharge diagnosis. During 2020 a greater proportion of subjects did not show any previous mental disorder, however, more subjects were already taking anxiolytic medications before the admission. Among a range of possible risk factors, attempted suicide, depression diagnosis and taking medications before the admission were found to be predictor of admission to psychiatric inpatient units. Characterizing subjects prone to suicidality during the second wave of the COVID-19 pandemic, our study provides hints for mid-term causes of suicidality and possible preventive measures that could be helpful in the course and after massive infectious outbreaks.


Obsessive-Compulsive Symptoms in the General Population Under Stressful Conditions: Lessons Learned from the COVID-19 Pandemic
  • Preprint
  • File available

November 2024

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85 Reads

Introduction COVID-19 pandemic had a negative impact on mental health in the general population. The fear, stress, and uncertainty surrounding that traumatic pe-riod could have contributed to the aggravation or possible new onset of obsessive-compulsive symptoms. Materials and Methods The COvid Mental hEalth Trial (COMET) is a nationwide project organized by the University of Campania "Luigi Vanvitelli" designed as an observational investigation that aimed to gather data from a representative sample of the Italian general population. The current study is a report from the main project and it focuses on OC symptoms. Results A total sample of N=20,720 took part in the survey. N=2332 individuals had a total OCI-R score greater than or equal to 21 (11,3% of the entire sam-ple), indicating the presence of clinically relevant obsessive compulsive symptoms. By excluding patients with a history of previous mental disorders, we still obtained a high number of individuals with OCI-R greater than or equal to 21 (N=2024), representing 10.3% of the overall sample, possibly in-dicating a new incidence of OC symptoms during the pandemic. Discussion Our study highlights a substantial new incidence of obsessive compulsive symptoms in the general public. Some risk factors or red flags should be paid particular attention to in order to prevent development of OC symptoms during a critical and traumatic event such as the COVID-19 pandemic.

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Flow chart of the study protocol describing the two different phases.
Overcoming treatment-resistant depression with machine-learning based tools: a study protocol combining EEG and clinical data to personalize glutamatergic and brain stimulation interventions (SelecTool Project)

July 2024

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135 Reads

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1 Citation

Treatment-Resistant Depression (TRD) poses a substantial health and economic challenge, persisting as a major concern despite decades of extensive research into novel treatment modalities. The considerable heterogeneity in TRD’s clinical manifestations and neurobiological bases has complicated efforts toward effective interventions. Recognizing the need for precise biomarkers to guide treatment choices in TRD, herein we introduce the SelecTool Project. This initiative focuses on developing (WorkPlane 1/WP1) and conducting preliminary validation (WorkPlane 2/WP2) of a computational tool (SelecTool) that integrates clinical data, neurophysiological (EEG) and peripheral (blood sample) biomarkers through a machine-learning framework designed to optimize TRD treatment protocols. The SelecTool project aims to enhance clinical decision-making by enabling the selection of personalized interventions. It leverages multi-modal data analysis to navigate treatment choices towards two validated therapeutic options for TRD: esketamine nasal spray (ESK-NS) and accelerated repetitive Transcranial Magnetic Stimulation (arTMS). In WP1, 100 subjects with TRD will be randomized to receive either ESK-NS or arTMS, with comprehensive evaluations encompassing neurophysiological (EEG), clinical (psychometric scales), and peripheral (blood samples) assessments both at baseline (T0) and one month post-treatment initiation (T1). WP2 will utilize the data collected in WP1 to train the SelecTool algorithm, followed by its application in a second, out-of-sample cohort of 20 TRD subjects, assigning treatments based on the tool’s recommendations. Ultimately, this research seeks to revolutionize the treatment of TRD by employing advanced machine learning strategies and thorough data analysis, aimed at unraveling the complex neurobiological landscape of depression. This effort is expected to provide pivotal insights that will promote the development of more effective and individually tailored treatment strategies, thus addressing a significant void in current TRD management and potentially reducing its profound societal and economic burdens.


Criminal behaviors and substance use disorder in psychiatric patients

June 2024

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23 Reads

CNS spectrums

Objective People with mental illness are overrepresented throughout the criminal justice system. In Italy, the Judicial Psychiatric Hospitals are now on the edge of their closure in favor of small-scale therapeutic facilities (REMS). Therefore, when patients end their duty for criminal behaviors, their clinical management moves back to the outpatient psychiatric centers. Elevated risks of rule-violating behavior are not equally shared across the spectrum of psychiatric disorders. To broaden the research in this area, we analyzed sociodemographic, clinical, and forensic variables of a group of psychiatric patients with a history of criminal behaviors, attending an outpatient psychiatric service in Milan, focusing on substance use disorder (SUD). Methods This is a cross-sectional single center study, conducted from 2020. Seventy-six subjects with a history of criminal behaviors aged 18 years or older and attending an outpatient psychiatric service were included. Demographic and clinical variables collected during clinical interviews with patients were retrospectively retrieved from patients’ medical records. Appropriate statistical analyses for categorical and continuous variables were conducted. ResultsData were available for 76 patients, 51.3% of them had lifetime SUD. Lifetime SUD was significantly more common in patients with long-acting injectable antipsychotics therapy, a history of more than 3 psychiatric hospitalizations, and a history of previous crimes, particularly economic crimes. Additionally, this last potential correlation was confirmed by logistic regression. Conclusions Data emerging from this survey provide new information about offenders with lifetime SUD attending an Italian mental health service. Our preliminary results should be confirmed in larger sample sizes.


The rapid antidepressant effectiveness of repeated dose of intravenous ketamine and intranasal esketamine: A post-hoc analysis of pooled real-world data

March 2024

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276 Reads

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28 Citations

Journal of Affective Disorders

Introduction: Intravenous ketamine (KET-IV) and intranasal esketamine (ESK-NS) are effective in the acute treatment of Treatment-Resistant Depression (TRD). Studies comparing KET-IV and ESK-NS concerning their action, safety, and tolerability are currently lacking.Materials and methods: We combined patients' data from two unipolar TRD cohorts that received KET-IV (n = 171) at the Canadian Rapid Treatment Center of Excellence in Toronto, Canada, or ESK-NS (n = 140) at several TRD clinics in Italy. The Quick Inventory for Depression Symptomatology-Self-Report-16/QIDS-SR16 in the KET-IV group and Montgomery-Åsberg Depression Rating Scale/MADRS in the ESK-NS group measured depressive symptoms at baseline (T0) and after the acute treatment phase (T1) (i.e., four infusions of KET-IV and eight administrations of ESK-NS). As different scales were used, the primary outcome was to compare the improvement in depression severity in the two cohorts by measuring effect sizes, response and remission rates. Finally, we compare side effects and discontinuation rates. Results:At T1, KET-IV and ESK-NS significantly reduced depressive symptoms (respectively: QIDS-SR16 mean reduction = 5.65, p < 0.001; MADRS mean reduction = 11.41, p = 0.025). KET-IV showed larger effect sizes compared to ESK-NS (1.666 vs. 1.244). KET-IV had higher response rates (36 % vs. 25 %; p = 0.042) but not superior remission rates (13 % vs. 12 %; p = 0.845) than ESK-NS at T1. Despite more reported side effects, KET-IV did not cause more discontinuations for adverse events (4.6 % vs. 2.12 %; p = 0.228) than ESK-NS. Conclusion:KET-IV showed a higher short-term antidepressant effect, whereas ESK-NS exhibited lower side effects. Both were generally well tolerated. Future head-to-head studies should consider the long-term efficacy of these treatments.


Selective alterations of endocannabinoid system genes expression in obsessive compulsive disorder

February 2024

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167 Reads

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3 Citations

Translational Psychiatry

Obsessive Compulsive Disorder (OCD) is listed as one of the top 10 most disabling neuropsychiatric conditions in the world. The neurobiology of OCD has not been completely understood and efforts are needed in order to develop new treatments. Beside the classical neurotransmitter systems and signalling pathways implicated in OCD, the possible involvement of the endocannabinoid system (ECS) has emerged in pathophysiology of OCD. We report here selective downregulation of the genes coding for enzymes allowing the synthesis of the endocannabinoids. We found reduced DAGLα and NAPE-PLD in blood samples of individuals with OCD (when compared to healthy controls) as well as in the amygdala complex and prefrontal cortex of dopamine transporter (DAT) heterozygous rats, manifesting compulsive behaviours. Also mRNA levels of the genes coding for cannabinoid receptors type 1 and type 2 resulted downregulated, respectively in the rat amygdala and in human blood. Moreover, NAPE-PLD changes in gene expression resulted to be associated with an increase in DNA methylation at gene promoter, and the modulation of this gene in OCD appears to be correlated to the progression of the disease. Finally, the alterations observed in ECS genes expression appears to be correlated with the modulation in oxytocin receptor gene expression, consistently with what recently reported. Overall, we confirm here a role for ECS in OCD at both preclinical and clinical level. Many potential biomarkers are suggested among its components, in particular NAPE-PLD, that might be of help for a prompt and clear diagnosis.


The use of antipsychotics in obsessive compulsive disorder

February 2024

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102 Reads

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5 Citations

Human Psychopharmacology Clinical and Experimental

Obsessive‐compulsive disorder (OCD) is a chronic disease with a prevalence in the general population of around 2%–3%, generally accompanied by a severe impairment of functioning and quality of life. A consistent subgroup of patients may not achieve adequate symptom remission with first‐line treatments (i.e., cognitive behavioral therapy, selective serotonin reuptake inhibitors [SSRIs]). The most validated option for treatment‐resistant cases relies on the augmentative use of antipsychotics to SSRIs, preferably of the ‘second generation’. Indeed, dopamine appears to be crucially involved in OCD neuropathology due to its implication in systems relating to goal‐directed behaviour and maladaptive habits. Nevertheless, the mechanism of action of antipsychotics in OCD symptom improvement is still unclear. Risperidone, aripiprazole, and haloperidol seem to be the most useful medications, whereas ‘first generation’ antipsychotics may be indicated in case of comorbidity with tics and/or Tourette Syndrome. Antipsychotic augmentation may be also related to side‐effects, particularly in the long term (e.g., alteration in metabolic profile, sedation, extrapyramidal symptoms). The present mini‐review sought to provide the most updated evidence on augmentative antipsychotic use in treatment‐resistant patients with OCD, providing a road map for clinicians in daily practice and shedding light on avenues for further research.


Figure 2. Quality assessment of the included studies. Green indicates high quality, orange indicates moderate quality, and red indicates low quality [26-35].
Data extracted from the included studies.
Cont.
Climate Change Perception and Mental Health. Results from a Systematic Review of the Literature

January 2024

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222 Reads

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19 Citations

Citation: Gianfredi, V.; Mazziotta, F.; Clerici, G.; Astorri, E.; Oliani, F.; Cappellina, M.; Catalini, A.; Dell'Osso, B.M.; Pregliasco, F.E.; Castaldi, S.; et al. Climate Change Perception and Mental Health. Results from a Systematic Review of the Literature. Abstract: Climate change is one of the main global challenges and influences various aspects of human health. Numerous studies have indeed demonstrated an association between extreme climate-related events and physical and mental health outcomes, but little is still known about the association between the perception/awareness of climate change and mental health. In accordance with the PRISMA 2020 guidelines, a search was conducted on PubMed and Scopus. The protocol was registered on PROSPERO. The included studies were original observational studies published in English, reporting the association between the perception/awareness of climate change and mental health. A total of 3018 articles were identified. A total of 10 observational studies were included. The period covered in the included studies ranged between 2012 and 2022. Climate change perception is consistently associated with adverse mental health effects across different types of estimates. In particular, the studies identified an association between a higher level of perception/awareness of climate change and depression, anxiety, eco-anxiety, stress, adjustment disorder, substance use, dysphoria, and even thoughts of suicide. Qualitative data underscore the impact on daily activities, contributing to feelings of loss and suicidal ideation. Moreover, climate change perception correlates with lower well-being and resilience. The association between awareness of climate change and mental health is a complex and still poorly explored phenomenon. The main limitations are the high heterogeneity in terms of exposure assessment and data reporting, which hinders quantitative analysis. These results show that climate change perception impacts mental health. Better understanding the phenomenon represents an opportunity to inform public health interventions that promote mental well-being.


Citations (14)


... While traditional antidepressants can take weeks to months to have an effect, ketamine has rapid effects on mood and suicidality, with mood changes reported as early as the rst 4 hours after treatment 21 . As an antagonist of NMDAR, a primary glutamate receptor on the plasma membrane that causes Ca 2+ in ux into the cytosol from extracellular space, ketamine has become a safe and broadly effective drug to treat depression or anxiety disorders, so is the intranasal esketamine 22 . This indicates that glutamatemediated excitotoxicity and associated disruption of intracellular Ca 2+ homeostasis play a key role in the pathology of depression and anxiety disorders. ...

Reference:

Intranasal dantrolene nanoparticles inhibit lipopolysaccharide-induced depression and anxiety behavior in mice
Esketamine Treatment Trajectory of Patients with Treatment-Resistant Depression in the Mid and Long-Term Run: Data from REAL-ESK Study Group
  • Citing Article
  • January 2025

Current Neuropharmacology

... Their model achieved a classification accuracy of 83.85%. Pettorruso et al. [28] aimed to develop a machine learningbased system using EEG and clinical data for the treatment of refractory depression. This system, called SelecTool, aimed to determine personalized treatment options using clinical criteria together with data from EEG and biomarkers. ...

Overcoming treatment-resistant depression with machine-learning based tools: a study protocol combining EEG and clinical data to personalize glutamatergic and brain stimulation interventions (SelecTool Project)

... Several neurological and neuropsychiatric disorders show an altered or even deficient ECS. [61][62][63][64][65] From the beginning of the NCCR TransCure, we were convinced that the plasma membrane transport of endocannabinoids was worth investigating as it had a significant translational potential. It was already clear that if we could selectively block endocannabinoid cellular reuptake in neurons by using small molecules that enter the brain, this would be a potential new mode of action for drug discovery and development in this field. ...

Selective alterations of endocannabinoid system genes expression in obsessive compulsive disorder

Translational Psychiatry

... 528). While one study estimated that one in two OCD patients benefited from antipsychotics (Conti et al., 2024), a more recent review found efficacy in only one in three patients (Thamby & Jaisoorya, 2019). Indeed, a recent Cochrane review (Komossa et al., 2010) found no effect of olanzapine augmentation on OCD and only some (not fully conclusive) evidence that adding quetiapine or risperidone to antidepressants increases efficacy. ...

The use of antipsychotics in obsessive compulsive disorder
  • Citing Article
  • February 2024

Human Psychopharmacology Clinical and Experimental

... By shifting data from the southern hemisphere by 6 months, cultural related issues related to seasonality were not included. There was no mention of how the perception of climate change may trigger anxiety, depression and thoughts of suicide (Gianfredi 2024). Significant individual differences in the non-visual responses to light were not discussed (Spitschan 2022;Chellappa 2021;Phillips 2019). ...

Climate Change Perception and Mental Health. Results from a Systematic Review of the Literature

... It is known that pivotal studies must investigate drugs to be marketed initially in a more controlled and homogeneous sample than in the clinical setting, but many experts say that this 'categorical' approach does not consider the heterogeneity of patient profiles in TRD. 85,86 The diagnosis of TRD may encompass various clinical characteristics and profiles (e.g. depression with comorbid personality disorder, bipolar depression, depression associated with the dysthymic disorder). ...

The rapid antidepressant effectiveness of repeated dose of intravenous ketamine and intranasal esketamine: A post-hoc analysis of pooled real-world data
  • Citing Article
  • March 2024

Journal of Affective Disorders

... However, clinical observation should be compared with the patient's experience of being depressed and how suicide risk emerges from such experience. There is also the need to consider that treatment of suicide risk in MDD is far from easy [122]. A recent study over 3 months, including MDD patients with suicide risk, most of which (>75%) were admitted to the hospital, demonstrated that the pharmacological strategy changed with time, exhibiting significant diversity and intricacy. ...

Routine treatment pathways in a cohort of patients with major depression and suicidality in Italy: the ARIANNA observational study

Comprehensive Psychiatry

... This refinement in diagnostic precision helps reduce delays and misdiagnoses, thereby optimizing healthcare resource allocation [5]. According to Di Stefano et al. (2024) [6] and Pettorruso et al. [7], this study highlights the transformative impact of AI-enhanced fMRI in schizophrenia research and clinical practice. By integrating machine learning and deep learning techniques, including Vision Transformers and support vector machines, AI has significantly improved the precision of detecting neural abnormalities and identifying biomarkers, surpassing conventional methods. ...

Predicting outcome with Intranasal Esketamine treatment: A machine-learning, three-month study in Treatment-Resistant Depression (ESK-LEARNING)
  • Citing Article
  • July 2023

Psychiatry Research

... The COVID-19 pandemic has brought unique considerations for individuals with OCD, especially those with contamination fears. However, studies have shown that OCD symptoms did not universally exacerbate during the COVID-19 pandemic as previously feared (10)(11)(12). This period has also sparked renewed interest in the idea that certain obsessive-compulsive behaviors may offer an evolutionary advantage in reducing infectious disease transmission. ...

Effects of strict COVID-19 lockdown on patients with obsessive-compulsive disorder compared to a clinical and a nonclinical sample

European Psychiatry

... Recently, Macellaro and colleagues [105] from our research group applied all available staging models to a clinical cohort of 100 BD patients over a ten-year retrospective observation, with assessments conducted at four distinct time points: 10, 5, 2 years before and at the time of inclusion. Notably, a significant increase in stage was observed across all considered staging models during the observation period. ...

Staging models applied in a sample of patients with bipolar disorder: Results from a retrospective cohort study
  • Citing Article
  • November 2022

Journal of Affective Disorders