Search

Maria Serra,1 Anna Presicci,2 Luigi Quaranta,3 Mariaclara Achille,4 Elvita Caputo,4 Silvia Medicamento,4 Francesco Margari,5 Federica Croce,5 Lucia Margari4 1Department of Pharmacy-Pharmaceutical Sciences, University of Bari “Aldo Moro”, Bari, Italy; 2Department of Neuroscience, Sense Organs and Locomotor System, University Hospital “Policlinico”, Bari, Italy; 3Department of Computer Science, University of Bari “Aldo Moro”, Bari, Italy; 4Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Bari, Italy; 5Department of Basic Medical Science, Neuroscience and Sensory Organs, University of Bari “Aldo Moro”, Bari, ItalyCorrespondence: Maria Serra, Department of Pharmacy-Pharmaceutical Sciences, University of Bari “Aldo Moro”, Via Edoardo Orabona 4, Bari, 70125, Italy, Tel +39 080 5592829, Fax +39 080 5595260, Email maria.serra.13@gmail.comIntroduction: Many studies highlighted the role of inflammation in the pathogenesis of depression, although not for every patient nor for every symptom. It is widely shared that stressors can increase inflammation and lead to depressive symptoms. Little is known about the symptom-specificity of the inflammation-depression link in adolescence, which we aimed to explore. The single symptom analysis is a core feature of the recent network approach to depression, supposing that psychiatric disorders consist of co-occurring symptoms and their tendency to cause each other.Patients and Methods: We recruited 52 adolescents diagnosed with a Depressive Disorder during the COVID-19 stressful period. We used regression analysis to measure associations between high sensitivity C-Reactive Protein (hs-CRP) and Interleukin-6 (IL-6) and depressive symptoms assessed by the Children’s Depression Inventory 2 (CDI 2). For the study of symptom specificity, we selected 13 items from the CDI 2 Self Report corresponding with the DSM-5 diagnostic criteria for Major Depressive Disorder and we coded them as dichotomous variables to perform a regression analysis.Results: We found that a higher CDI 2-Parent Version total score was significantly predicted by higher hs-CRP (coefficient 3.393; p 0.0128) and IL-6 (coefficient 3.128; p 0.0398). The endorsement of the symptom self-hatred, measuring the DSM-5 symptom “feelings of worthlessness”, was significantly predicted by hs-CRP (OR 10.97; 95% CI 1.29– 93.08; p 0.0282).Conclusion: A novel symptom-specificity emerged, with hs-CRP significantly predicting the endorsement of the symptom self-hatred, recognized as a core feature of adolescent depression, following the network theory. We considered it a possible phenotypic expression of one depression endophenotype previously causally linked to inflammation. Due to the limited sample size, these preliminary findings require confirmation with future research focusing on the relationship between inflammation and self-hatred and other central nodes of the depression network, representing an opportunity for targeting interventions on crucial symptoms.Keywords: endophenotype, inflammation, network, self-hatred, stress

Abstract Background Children and adolescents and low-income individuals are considered particularly vulnerable for mental health implications during the current COVID-19 pandemic. Depression is a frequent negative emotional response during an epidemic outbreak and is also prone importantly to environmental risk like stressors derived from income inequality. We aimed to assess depressive symptomatology in a sample of Italian low-income minors during the COVID-19 outbreak. We hypothesized that the stronger were the negative effects of the pandemic on socioeconomic conditions, the higher would have been the risk for showing depressive symptoms. Methods We performed a cross-sectional study during July 2020, at the end of the Italian first wave of COVID-19 pandemic. We recruited 109 Italian socioeconomically disadvantaged children and adolescents from 7 to 17 years. We used an online survey to collect socio-demographic and clinical data and information about pandemic-related stressors and to assess depressive symptoms with the Children’s Depression Inventory 2 (CDI 2), Parent Version (Emotional Problems subscale) and Self-Report Short Form. We performed logistic regression analysis to assess the association between depressive symptoms and potential risk factors for mental health. Results 22% and 14% of participants showed depressive symptoms at the CDI 2 Parent Version and Self-Report, respectively. Participants coming from families experiencing a lack of basic supplies during the pandemic (34.9%) were more expected to show depressive symptoms at CDI 2 Parent Version. Participants with a pre-existing neuropsychiatric diagnosis (26.6%) were more likely to exhibit depressive symptoms measured by CDI 2 Parent Version. Conclusions The results of our study showed that a group of Italian socioeconomically disadvantaged children and adolescents were more vulnerable to depressive symptoms if they suffered from a paucity of essential supplies during the pandemic or had pre-existing neurodevelopmental disorders. The promotion of educational and child-care programs and activities could be crucial in sustaining the prevention of mental distress in those frail subjects who particularly need support outside the family. Further studies are needed to detect effective preventive and therapeutic strategies to adopt promptly in the case of another pandemic wave.

Depressive disorders (DDs) and non-suicidal self-injury (NSSI) are important juvenile mental health issues, showing alarming increasing rates. They frequently co-occur, mainly among adolescents, increasing the suicide risk. We aimed to compare the clinical features of two groups of adolescents with DDs, differed by their engagement or not in NSSI (“DD + NSSI” and “DD”). We hypothesized that NSSI would characterize particularly severe forms of DDs suitable for becoming specific phenotypes of adolescent depression. We enrolled 56 adolescents (11–17 years) diagnosed with a DD according to the DSM-5 criteria. They were assessed for NSSI endorsement (Ottawa Self-Injury Inventory), depressive symptoms (Children’s Depression Inventory 2), emotional dysregulation (Difficulties in Emotional Regulation Scale), and anxiety symptoms (Screen for Child Anxiety-Related Emotional Disorders). The two groups accounted for 31 (“DD + NSSI”) and 25 (“DD”) individuals. The “DD + NSSI” group had significantly higher suicidal ideation (p 0.0039), emotional dysregulation (p 0.0092), depressive symptoms (p 0.0138), and anxiety symptoms (p 0.0153) than the “DD” group. NSSI seemed to characterize more severe phenotypes of adolescent depression, applying for a potential role as a “specifier” of DDs, describing relevant information for their management. Further studies are needed to support this hypothesis and its potential opportunities for prevention and treatment.

Pediatric optic neuritis (PON) may be a clinically isolated and self-limiting event or may present in the context of underlying neurologic, infective, or systemic disease. PON has a high impact on the quality of life as it may or may not evolve into other acquired demyelinating syndromes (ADSs), such as multiple sclerosis (MS), neuromyelitis optica (NMO), or other syndromes related to the myelin oligodendrocyte glycoprotein IgG antibodies (MOG-IgG). These different PON phenotypes present variable clinical and radiological features, plasma and liquor biomarkers, and prognosis. We describe four pediatric cases presenting clinically with ON, with different etiopathogenetic pictures: one case had a probable infective etiology, while the others were associated with different demyelinating disorders (MS, NMO, syndrome related to MOG-IgG). We discuss the possible evolution of presenting ON in other ADSs, based on recent literature. A careful evaluation of the clinical and investigation findings and the natural course of PON is necessary to define its pathogenic pathway and evolution. Further prolonged follow-up studies are needed to highlight the predictors of PON evolution, its potential sequelae, and the best treatment options.

A Presicci1, P Lecce1, P Ventura1, F Margari2, S Tafuri3, L Margari11Child Neuropsychiatric Unit, Department of Neurologic and Psychiatric Science, Aldo Moro University of Bari, Bari, Italy; 2Psychiatric Unit, Department of Neurologic and Psychiatric Science, Aldo Moro University of Bari, Bari, Italy; 3Hygiene Section, Department of Biomedical Science and Human Oncology, Aldo Moro University of Bari, Bari, ItalyBackground: Diagnosis and treatment of mood disorders in youth are still problematic because in this age the clinical presentation is atypical, and the diagnostic tools and the therapies are the same as that used for the adults. Mood disorders are categorically divided into unipolar disorders (major depressive disorder and dysthymic disorder) and bipolar disorder in Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision), but mood symptoms are also comprised in the diagnostic criteria of the adjustment disorder (AD), which occur in many different psychiatric disorders, and may also be found in some physical conditions. The differential diagnosis is not much addressed in the midst of clinical ­investigation and so remains the major problem in the clinical practice.Aims: The associations between some variables and the depressive disorder and AD were analyzed to make considerations about differential diagnosis.Patients and methods: We reported a retrospective study of 60 patients affected by ­depressive disorder and AD. The analysis has evaluated the association between some variables and the single diagnostic categories. We have considered 10 variables, of which 6 are specific to the ­disorders, and 4 have been considered related problems.Results: The statistical analysis showed significant results for the associations of 3 variables (prevalent symptoms, treatment, and family history) with the single diagnostic categories.Conclusion: The discriminate analysis resulted in statistically significant differences between patients with depressive disorders and those with AD on 3 variables, of which 2 are specific to the disorders, and 1 is included in the related problems. The other variables were weakly associated with the single diagnostic categories without any statistically significant differences. The 3 variables that were associated with the single diagnostic categories support the distinct construct validity of the 2 diagnostic categories, but, to date, it is difficult to establish if these variables can be considered diagnostic predictors. On the other hand, the other variables did not support the distinct construct validity of the 2 diagnostic categories, which suggest an ­overlapping and ­dimensional concept. The spectrum approach could unify categorical ­classification that is ­essential with a dimensional view. Combination of dimensional and categorical principles for classifying mood disorders may help to reduce the problems of underdiagnosis and undertreatment.Keywords: depressive disorder, bipolar disorder, spectrum