Unlocking the potential of probiotic administration in caries management: a systematic review.

BACKGROUND: The use of prebiotics and/or probiotic bacteria with the potential to modulate the oral ecosystem may play an important role in the prevention and management of dental caries. To assess the evidence of the potential of pre/probiotics both in the prevention and treatment of dental caries, we focused on the PICO question "In individuals with caries, after probiotic administration, is there an improvement in outcomes directly related to caries risk and development?". METHODS: An extensive systematic search was conducted in electronic databases PubMed, Web of Science, Scopus and Cochrane, to identify articles with relevant data. This systematic review included trials performed in Humans; published in English; including the observation of patients with caries, with clear indication of the probiotic used and measuring the outcomes directly involved with the cariogenic process, including the quantification of bacteria with cariogenic potential. To evaluate the methodological quality of the studies, the critical assessment tool from the Joanna Briggs Institute was used. RESULTS: Eight hundred and fifty articles, potentially relevant, were identified. Following PRISMA guidelines 14 articles were included in this systematic review. Outcomes such as reduction of cariogenic microorganism counts, salivary pH, buffer capacity, and caries activity were assessed. The probiotic most often referred with beneficial results in dental caries outcomes is Lacticaseibacillus rhamnosus. Regarding the most used administration vehicle, in studies with positive effects on the caries management, probiotic supplemented milk could be considered the best administration vehicle. CONCLUSIONS: Evidence suggests a beneficial effect of probiotic supplemented milk (Lacticaseibacillus rhamnosus) as an adjuvant for caries prevention and management. However, comparable evidence is scarce and better designed and comparable studies are needed.

White spot lesions: diagnosis and treatment - a systematic review.

BACKGROUND: White spot lesions represent the first stage of caries and their prevalence has been increasing in recent years, particularly in patients undergoing orthodontic treatment. DIferential diagnosis and lesion activity are essential to decide on the clinical approaches to treatment. The aim of this study is to understand if the new diagnostic tools such as fluorescence, microradiography and computed microtomography have the potential to change the conventional treatment of white spots". METHODS: A systematic search of available studies in the literature was carried out, using PRISMA guidelines, in Pubmed and Scopus electronic databases and manually to identify relevant articles to answer the PICO question: "Do the new diagnostic tools have the potential to change the conventional treatment of white spots?". This systematic review included randomized controlled trials (RCT), cross-sectional and longitudinal studies complying with the following inclusion criteria: (i) studies in humans, (ii) studies about white spot lesions, (iii) studies published between 2012 and 2023, (iv) studies having both diagnosis and treatment and (v) studies with full text available. In this review we excluded other systematic reviews of clinical trials and in vitro studies. The RoB tool was used to assess the risk of bias. RESULTS: The systematic literature search identified 143 potentially relevant references, which after applying the exclusion criteria, resulted in 20 articles. Regarding diagnostic methods, most articles found were based on conventional methods of visual examination (n:10) or fluorescence (n:7). The least referenced diagnostic techniques were based on the use of clinical photographs (n:2), cross-sectional microradiography (n:1) and computed microtomography (n:1). The use of DIAGNOdent was reported by 3 in vitro studies. With regard to therapies, most studies reported the use of infiltrating resin (n:7) and fluoride-based products (n:5). Other studies have reported the use of self-assembling peptide P11-4 (n:1), home care (n:1), casein phosphopeptide-amorphous calcium phosphate (n:2) and hydrochloric acid (n:1). Combination therapies were also considered. CONCLUSION: Diagnostic tool does not have the potential to change the form of treatment, whether it is a conventional method or a more differentiated one.

Psychological impact of the COVID-19 pandemic and lockdown in a Spanish sample with anxiety disorder: sex differences.

The early psychological impact of the COVID-19 pandemic and lockdown is greater in people with mental disorders. This study explored the differences in the psychological impact on people with an anxiety disorder by sex in Spain.

Early Impact of the COVID-19 Outbreak on Sleep in a Large Spanish Sample.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) forced Spain to implement unprecedented lockdown restriction. In this context, different factors could worsen sleep quality, but the impact of the pandemic and lockdown on sleep is still mostly unknown. In this cross-sectional study, we describe self-reported sleep disturbances in people without mental health disorders from a large Spanish sample (n = 15,070). METHODS: During the early phase of the lockdown (19-26 March), an online survey was launched using a snowball sampling method and included sociodemographic and clinical data along with the Depression, Anxiety, and Stress Scale (DASS-21) and the Impact of Event Scale (IES). Two items of the IES were employed to assess sleep characteristics. Descriptive and bivariate analysis and logistic regression models were performed. RESULTS: Difficulty initiating or maintaining sleep were reported by 23.9% of the sample and was associated in the regression model with age (OR = 1.008, p = .003), female sex (OR = 1.344, p < .001), an income reduction >50% (OR = 1.248, p = .037), having one (OR = 1.208, p = .029) and two or more (OR = 1.299, p = .035) elderly dependents, drinking alcohol (OR = 1.129, p = .024), and a higher score on DASS-21 depression (OR = 1.148, p < .001), anxiety (OR = 1.218, p < .001), or stress (OR = 1.302, p < .001) subscales, whereas being able to enjoy free time (OR = 0.604, p < .001) and painting or listening to music (OR = 0.853, p = .012) were protective factors. Dreams related to COVID-19 were reported by 12.9% of the sample and were associated in the regression model with female sex (OR = 1.617, p < .001), being married (OR = 1.190, p = .015), self-employed (OR = 1.373, p = .032), or a civil servant (OR = 1.412, p = .010), having been tested for COVID-19 (OR = 1.583, p = .012), having infected family or friends (OR = 1.233, p = .001), reading news about coronavirus (OR = 1.139, p = .023), drinking alcohol (OR = 1.251, p < .001), and higher scores on DASS-21 depression (OR = 1.102, p < .001), anxiety (OR = 1.222, p < .001), or stress (OR = 1.213, p < .001) subscales, while protective factors were older age (OR = 0.983, p < .001) and being retired (OR = 0.625, p = .045). CONCLUSIONS: These findings could help clinicians and public health systems design and deliver tailored interventions, such as internet-delivered campaigns, to promote sleep quality in the general population.

Impact of the coronavirus outbreak on mental health in the different Spanish regions.

COVID-19 is an infectious disease that has affected millions of people worldwide, Spain being one of the countries most affected by the pandemic. It is key to study its impact on the mental health of the Spanish population during the lockdown situation.

Responsiveness of the different methods for assessing the short-term within-subject change in masticatory function after conventional prosthetic treatments.

STATEMENT OF PROBLEM: Improvement in the masticatory function after replacing missing teeth is one of the main expected outcomes that need to be comprehensively measured with both clinical and patient-centered assessments. An evaluation of the responsiveness of these methods is lacking. PURPOSE: The purpose of this clinical study was to assess the responsiveness of both objective and subjective methods for measuring the impact of different conventional prostheses on masticatory function at prosthesis delivery and 2 months later. MATERIAL AND METHODS: Participants (N=118) requiring prosthetic rehabilitation were selected from patients attending the Faculty of Dentistry of the University of Salamanca. Masticatory function was assessed by means of subjective methods (self-rated ordinal scales, visual analog scale, and food intake ability questionnaire) at baseline and 2 months after treatment. The ability to mix 2-colored chewing gum after 5, 10, and 15 cycles was also evaluated objectively. The responsiveness of each method was categorized by the effect size (ES) as low (<0.5), moderate (0.5 to 0.8), or large (>0.8). RESULTS: The study revealed that in all subgroups, the masticatory function improved 2 months after the treatment. The most responsive method was the visual analog scale (ES: 1.2) and the number of pattern foods perceived to be easily masticated by participants (ES: 0.7 to 1.3). By contrast, the masticatory performance assessed by using the mixing ability test showed a smaller magnitude of change (ES: 0.3 to 0.7). Both the objective and subjective masticatory functions were coherently correlated with age and clinical variables (number of occlusal units or the Eichner index) in all subgroups. However, masticatory performance and masticatory ability were not significantly correlated (r=0.22; P=.12). CONCLUSIONS: Conventional prosthetic treatments significantly improve masticatory function 2 months after delivery, and the subjective methods were the most responsive in assessing changes in participants.

History of Lifetime Cannabis Use Is Associated with Better Cognition and Worse Real-World Functioning in Schizophrenia Spectrum Disorders.

BACKGROUND: Data on associations between cannabis use and psychopathology, cognition and functional impairment in schizophrenia spectrum disorders (SSD) is controversial. OBJECTIVES: To examine the effect of cannabis on psychopathology, cognition and real-world functioning in SSD patients. METHOD: Naturalistic cross-sectional study, 123 clinically stable SSD outpatients. ASSESSMENT: demographic and clinical data, psychometric evaluation: Positive and Negative Syndrome, Hamilton Depression Rating, Clinical Global Impression (CGI), Personal and Social Performance and Screen for Cognitive Impairment in Psychiatry (SCIP) scales. Patients were classified as cannabis user patients (CUP) and non cannabis user patients (NCUP) according to self-report, both lifetime and last year. STATISTICAL ANALYSIS: chi-square, Student t test, ANOVA (Duncan post hoc), and general linear model analysis for adjusting for antipsychotic doses. RESULTS: Mean age 40.75, 66.7% male, single (66.7%), prior hospital admissions 2.75, mean length of illness 13.85 years. 53.7% were lifetime cannabis users and 8.9% last year users. Lifetime CUP had more hospitalizations (p = 0.013) at a younger age (p = 0.002), and showed better cognitive functioning globally (CGI-C: p = 0.045) and on working memory and processing speed (SCIP-2: p = 0.039; SCIP-5: p = 0.033) and worse functioning in socially useful activities (p = 0.014) than NCUP. All these differences remained after adjusting for antipsychotic doses. Last year cannabis users had worse mood (Hamilton Depression Rating Scale 9.66 vs. 5.64; p = 0.002), but this difference disappears when adjusting for antipsychotic doses. CONCLUSIONS: Lifetime cannabis use is associated with better working memory and processing speed and worse real-world functioning in the area of socially useful activities in patients with schizophrenia-related disorders. Clinicians should, therefore, be aware of it to provide patient-centred care in their daily clinical practice.

Detection of synthetic cannabinoid intoxication in the Emergency Department: when routine toxicological tests are not enough. / Detección de la intoxicación por cannabinoides sintéticos en Urgencias: cuando las pruebas toxicológicas rutinarias no bastan.

Letter to the editor.

Carta al Editor.

Factors associated with tobacco consumption in patients with depression. / Factores asociados con consumo de tabaco en pacientes con depresión.

Smoking and depression are related in a bidirectional way: smoking is the primary avoidable cause of illness and death in patients with depression, and depression is one of the most consistent risk factors for smoking. The main objective of this study is to investigate the relationship between smoking and depression, analyzing sociodemographic and clinical variables such as severity of symptoms, subtype of affective disorder, and its impact on suicidal behavior in the clinical population.A sample of 201 patients, over 18 years of age [mean age (SD) = 53.76 (10.36) years; women = 132 (65.7%)], with a history of depressive episode (unipolar or bipolar) or dysthymia (ICD 10 criteria) was studied.Current smoking prevalence was 43.2% and life-time prevalence 61.2%. No statistically significant differences in smoking prevalence between men and women were found (X2 = 3.896, p = 0.143). The average age of onset was 17.81 (5.60) years. There was a tendency towards a linear association between number of cigarettes/day consumed and severity of depression according to the Hamilton Depression Scale (HDRS) in current smokers (Pearson's R = 0.298, p = 0.050). Multinomial logistic regression analysis showed that current tobacco consumption was associated with higher HDRS scores, with each additional point on the HDRS increasing the likelihood of smoking by 0.062 [p = 0.032; OR (95% CI) = 1.064 (1.005-1.125)].Our results showed that depressed patients present higher prevalence of current smoking than the general population, also suggesting a relationship between severity of consumption and severity of depressive symptoms.

Tabaquismo y depresión se relacionan de forma bidireccional: el tabaquismo es la primera causa evitable de enfermedad y muerte en pacientes con depresión, y la depresión constituye uno de los factores de riesgo de tabaquismo más consistentes. El principal objetivo del presente trabajo es profundizar en la relación entre tabaquismo y depresión, analizando variables socio-demográficas y clínicas como la gravedad de los síntomas, el subtipo de trastorno afectivo, y su impacto en las conductas suicidas en población clínica.Se estudió una muestra de 201 pacientes, mayores de 18 años [edad media (SD) = 53,76 (10,36) años; mujeres = 132 (65,7%)], con historia de episodio depresivo (unipolar o bipolar) o distimia (criterios CIE 10).La prevalencia de tabaquismo actual fue 43,2% y la prevalencia vida 61,2%, no existiendo diferencias estadísticamente significativas entre hombres y mujeres (X2 = 3,896; p = 0,143). La edad media de inicio fue 17,81 (5,60) años. Se observó tendencia a asociación lineal entre número de cigarrillos/día consumidos y gravedad de la depresión según la Escala de Hamilton para la Depresión (HDRS) en los consumidores actuales de tabaco (R de Pearson = 0,298; p = 0,050). El análisis de regresión logística multinomial puso de manifiesto que el consumo actual de tabaco se asocia con puntuaciones más elevadas en la HDRS, de modo que cada incremento de un punto en dicha escala, la posibilidad de fumar aumenta en 0,062 [p = 0,032; OR (95% CI) = 1,064 (1,005-1,125)].Nuestros resultados muestran que los pacientes deprimidos presentan mayor prevalencia de consumo actual de tabaco que la población general, sugiriendo además una relación entre gravedad de consumo y gravedad de los síntomas de depresión.

PsiOvi Staging Model for Schizophrenia (PsiOvi SMS): A New Internet Tool for Staging Patients with Schizophrenia.

BACKGROUND: One of the challenges of psychiatry is the staging of patients, especially those with severe mental disorders. Therefore, we aim to develop an empirical staging model for schizophrenia. METHODS: Data were obtained from 212 stable outpatients with schizophrenia: demographic, clinical, psychometric (PANSS, CAINS, CDSS, OSQ, CGI-S, PSP, MATRICS), inflammatory peripheral blood markers (C-reactive protein, interleukins-1RA and 6, and platelet/lymphocyte [PLR], neutrophil/lymphocyte [NLR], and monocyte/lymphocyte [MLR] ratios). We used machine learning techniques to develop the model (genetic algorithms, support vector machines) and applied a fitness function to measure the model's accuracy (% agreement between patient classification of our model and the CGI-S). RESULTS: Our model includes 12 variables from 5 dimensions: 1) psychopathology: positive, negative, depressive, general psychopathology symptoms; 2) clinical features: number of hospitalizations; 3) cognition: processing speed, visual learning, social cognition; 4) biomarkers: PLR, NLR, MLR; and 5) functioning: PSP total score. Accuracy was 62% (SD = 5.3), and sensitivity values were appropriate for mild, moderate, and marked severity (from 0.62106 to 0.6728). DISCUSSION: We present a multidimensional, accessible, and easy-to-apply model that goes beyond simply categorizing patients according to CGI-S score. It provides clinicians with a multifaceted patient profile that facilitates the design of personalized intervention plans.

Anticholinergic load: A commonly neglected and preventable risk to cognition during schizophrenia treatment?

Background: Cognitive impairment is a widespread feature of schizophrenia, affecting nearly 80 % of patients. Prior research has linked the anticholinergic burden of psychiatric medications to these cognitive deficits. However, the impact of the anticholinergic burden from medications for physical morbidity remains underexplored. This study aimed to evaluate the anticholinergic burden of psychiatric and physical medications in patients with schizophrenia and assess its impact on cognitive function. Methods: A total of 178 patients with schizophrenia were recruited. The assessments included an ad hoc questionnaire for collecting demographic and clinical data. Anticholinergic burden was evaluated using the cumulative Drug Burden Index (cDBI) for each participant, and cognitive function was assessed using MATRICS. Psychopathology was measured using the PANSS, CDSS, CAINS, and the CGI-S. Statistical analysis included Student's t-tests, ANOVA, Pearson correlations, and multiple linear regressions. Results: The average cDBI was 1.3 (SD = 0.9). The model developed explained 40.80 % of the variance. The variable with the greatest weight was the cDBI (B = -11.148, p = 0.010). Negative-expression (B = -2.740, p = 0.011) and negative-experiential (B = -1.175, p = 0.030) symptoms were also associated with lower global cognitive score. However, more years of education (B = 5.140, p < 0.001) and cigarettes per day (B = 1.331, p < 0.001) predicted a better global cognitive score. Conclusion: This study identified specific predictors of global cognition in schizophrenia, with anticholinergic burden emerging as the strongest factor. Our findings underscore the importance of considering the anticholinergic burden of treatments, in addition to negative symptoms, when designing interventions to optimize or maintain cognitive function in patients with schizophrenia.

From gut to brain: A network model of intestinal permeability, inflammation, and psychotic symptoms in schizophrenia.

Impaired intestinal permeability has recently been suggested as a possible source of chronic inflammation in schizophrenia, but its association with specific psychopathological features remains uncertain. This study aimed to explore the interaction between intestinal permeability, inflammation, and positive and negative symptoms in schizophrenia using a network analysis approach. The study sample comprised 281 adults with schizophrenia (age 40.29 ± 13.65 years, 63.0 % males), enrolled in a cross-sectional observational study assessing intestinal permeability. We estimated the network with a Gaussian graphical model, incorporating scores from 14 individual items of the Positive and Negative Syndrome Scale (PANSS), along with body mass index (BMI), and plasma C-reactive protein (CRP) and lipopolysaccharide-binding protein (LBP) levels. We calculated strength centrality and expected influence and used bridge centrality statistics to identify the bridge nodes. Distinct but highly interconnected clusters emerged for positive and negative symptoms. The biological variables were closely associated with each other. LBP was positively linked with CRP and BMI, but only indirectly connected to psychopathology. CRP exhibited direct positive relationships with various PANSS items and bridged LBP and BMI with psychopathology. Bridge nodes included Conceptual Disorganisation (P2), Active Social Avoidance (G16), Suspiciousness/Persecution (P6), and CRP. These findings support the role of gut-derived inflammation as a mechanism underlying greater symptom severity in schizophrenia and emphasise the importance of addressing dietary habits not only to enhance physical health but also to contribute to improving psychotic symptoms.

Impact of cognitive reserve in clinical, neurocognitive and lifestyle factors in chronic schizophrenia and early stages of schizophrenia.

INTRODUCTION: Although there is evidence that higher cognitive reserve (CR) is a protective factor and it has been related to better prognosis, there have been no studies to date that have explored the CR level and its impact in clinical, neurocognitive and lifestyle outcomes according to the stage of the disease: early stage of psychosis (ESP) or chronic schizophrenia (SCZ). MATERIAL AND METHODS: A total of 60 patients in the ESP and 225 patients with SCZ were enrolled in the study. To test the predictive capacity of CR for each diagnostic group, a logistic regression analysis was conducted. Hierarchical linear regression analyses were performed to explore the associations between CR and different outcomes. The mediation analyses were performed according to the principles of Baron and Kenny. RESULTS: Patients with SCZ showed lower CR than those in the ESP (p<0.001). CR correctly classified 79.6% of the cases (p<0.001; Exp(B)=1.062). In ESP group, CR was related to working memory (p=0.030) and negative symptoms (p=0.027). CR (t=3.925, p<0.001) and cannabis use (t=2.023, p=0.048) explained 26.7% of the variance on functioning (p=0.003). In patients with SCZ, CR predicted all cognitive domains, negative symptoms (R2=0.091, p=0.001) and functioning (R2=0.074, p=0.005). In both ESP and SCZ groups, higher CR was associated with lower body mass index and circumference. In ESP group, the effect of adherence to Mediterranean diet on functioning (p=0.037) was mediated by CR level (p=0.003). CONCLUSIONS: The implications of CR depend on the stage of the disease (ESP vs. SCZ), with a greater effect on neurocognition and negative symptoms in patients with chronic SCZ.

Lithium response in bipolar disorder: Epigenome-wide DNA methylation signatures and epigenetic aging.

Lithium (Li) is the first-line treatment for bipolar disorder (BD) even though only 30 % of BD patients are considered excellent responders. The mechanisms by which Li exerts its action are not clearly understood, but it has been suggested that specific epigenetic mechanisms, such as methylation processes, may play a role. In this regard, DNA methylation patterns can be used to estimate epigenetic age (EpiAge), which is accelerated in BD patients and reversed by Li treatment. Our first aim was to compare the DNA methylation profile in peripheral blood between BD patients categorized as excellent responders to Li (Ex-Rp) and non-responders (N-Rp). Secondly, EpiAge was estimated to detect differential age acceleration between the two groups. A total of 130 differentially methylated positions (DMPs) and 16 differentially methylated regions (DMRs) between Ex-Rp (n = 26) and N-Rp (n = 37) were identified (FDR adjusted p-value < 0.05). We found 122 genes mapping the DMPs and DMRs, nine of which (HOXB6, HOXB3, HOXB-AS3, TENM2, CACNA1B, ANK3, EEF2K, CYP1A1, and SORCS2) had previously been linked to Li response. We found genes related to the GSK3ß pathway to be highly represented. Using FUMA, we found enrichment in Gene Ontology Cell Component for the synapse. Gene network analysis highlighted functions related to the cell cycle, nervous system development and function, and gene expression. No significant differences in age acceleration were found between Ex-Rp and N-Rp for any of the epigenetic clocks analysed. Our findings indicate that a specific methylation pattern could determine the response to Li in BD patients. We also found that a significant portion of the differentially methylated genes are closely associated with the GSK3ß pathway, reinforcing the role of this system in Li response. Future longitudinal studies with larger samples will help to elucidate the epigenetic mechanisms underlying Li response.

Recurrence of neuroleptic malignant syndrome.

Neuroleptic malignant syndrome (NMS) is a rare idiosyncratic reaction associated with the use of neuroleptics that has an incidence of 0.02 to 3% among patients taking these drugs. This is a very serious complication with a mortality rate that reaches 10-20%. It is therefore very important to have high clinical suspicion and use appropriate criteria to objectify this clinical picture early, stopping the medication causing the picture and to avoid the subsequent complications as much as possible that would be responsible for both its mortality and sequels. We present that case of an 81-year old woman who was admitted to the Psychiatric Hospitalization Unit (PHU) for a depressive episode with psychotic symptoms who developed a neuroleptic malignant syndrome (NMS) when Haloperidol was introduced. After its suspension and subsequent clinical recovery, antipsychotic treatment with Risperidone was reintroduced and she suffered a recurrence of NMS. Finally, significant improvement was achieved with several sessions of electroshock therapy (EST).

What factors should we modify to promote high functioning and prevent functional decline in people with schizophrenia?

Background: Since research in schizophrenia mainly focuses on deficits and risk factors, we need studies searching for high-functioning protective factors. Thus, our objective was to identify protective (PFs) and risk factors (RFs) separately associated with high (HF) and low functioning (LF) in patients with schizophrenia. Methods: We collected information (sociodemographic, clinical, psychopathological, cognitive, and functional) from 212 outpatients with schizophrenia. Patients were classified according to their functional level (PSP) as HF (PSP > 70, n = 30) and LF (PSP ≤ 50, n = 95). Statistical analysis consisted of Chi-square test, Student's t-test, and logistic regression. Results: HF model: variance explained: 38.4-68.8%; PF: years of education (OR = 1.227). RFs: receiving a mental disability benefit (OR = 0.062) and scores on positive (OR = 0.719), negative-expression (OR = 0.711), and negative-experiential symptoms (OR = 0.822), and verbal learning (OR = 0.866). LF model: variance explained: 42.0-56.2%; PF: none; RFs: not working (OR = 6.900), number of antipsychotics (OR = 1.910), and scores on depressive (OR = 1.212) and negative-experiential symptoms (OR = 1.167). Conclusion: We identified specific protective and risk factors for high and low functioning in patients with schizophrenia and confirmed that high functioning factors are not necessarily the opposite of those associated with low functioning. Only negative experiential symptoms are a shared and inverse factor for high and low functioning. Mental health teams must be aware of protective and risk factors and try to enhance or reduce them, respectively, to help their patients improve or maintain their level of functioning.

Intestinal permeability and low-grade chronic inflammation in schizophrenia: A multicentre study on biomarkers. Rationale, objectives, protocol and preliminary results.

BACKGROUND: Altered intestinal permeability and low-grade chronic inflammation disrupt the integrity of the blood-brain barrier (microbiota-gut-brain axis), probably playing a role in the pathophysiology of schizophrenia-spectrum disorders. However, studies assessing the microbiota-gut-brain axis are inconsistent. This article describes the rationale, objectives, protocol, and presents descriptive results for a new project. METHODS: The sample of this study came from an observational, cross-sectional and multisite study including four centers in Spain (PI17/00246) recruiting adult patients with DSM-5 schizophrenia-spectrum disorders at any stage of the disease. The aims of the project are to assess the interrelation between intestinal permeability and low-grade chronic inflammation in schizophrenia-spectrum disorders and the role of peripheral biomarkers, diet, exercise, metabolic syndrome, disease severity and functioning as well as cognition. Assessments included the following variables: (1) anthropometric, (2) intestinal permeability, diet, and physical exercise, (3) clinical and functional, (4) neuropsychological and cognitive reserve, and (5) peripheral biomarkers from blood. RESULTS: A total of 646 patients were enrolled (257, 39.7% female). Mean age was 43.2±13.6 years, illness duration 15.1±11.5 years. 55.8% consumed tobacco. Positive PANSS score was 13.68±6.55, and 20.38±8.69 in the negative symptoms. CGI was 4.16±2.22 and GAF was 60.00±14.84. CONCLUSION: The results obtained by this project are expected to contribute toward the understanding of the physiopathology of schizophrenia-spectrum disorders. This will likely aid to personalize treatments in real-world clinical practice, potentially including variables related to intestinal permeability and inflammation.

Platelet and white blood-cell-based ratios: Differential inflammatory markers of severe mental disorders?

INTRODUCTION: Neutrophil/lymphocyte (NLR), monocyte/lymphocyte (MLR), and platelet/lymphocyte (PLR) ratios, and systemic inflammatory index (SII) represent peripheral markers of inflammation associated with different severe mental disorders. MATERIAL AND METHODS: In this study, these parameters were analyzed in a sample of 622 participants [197 patients with major depressive disorder (MDD), 154 with bipolar disorder (BD), 176 with schizophrenia (SCH), and 95 healthy controls (HC)]. Sociodemographic and clinical data of patients were recorded. RESULTS: Differences in age and sex were detected among groups (p<0.001), with SCH patients being younger and MDD patients being older. After stratifying by sex, these ratios were compared using the nonparametric ANCOVA (Quade's test) using age as a covariate. In males, no significant statistical differences were found between groups. However, differences were observed in MLR in the subgroup of females [MDD: 0.23 (SD=0.09); BD: 0.23 (SD=0.11); SCH: 0.24 (SD=0.11); HC: 0.29 (SD=0.13); F=5.376, p=0.001]. Post hoc testing revealed that there are MLR differences between HC versus MDD and between HC versus BD, with higher values in HC versus the other two groups. On the other hand, no differences were found in either males or females for any of the studied ratios, among the three diagnostic groups. CONCLUSIONS: MLR is reduced in MDD and BD patients versus HC, but exclusively in the female group. However, based on the analyzed indices, it is not possible to differentiate among the three diagnostic groups of patients. As a limitation of this study, note that the effects of psychopharmacological treatments and smoking have not been controlled for.

Is it possible to stage schizophrenia? A systematic review.

INTRODUCTION: A staging model is a clinical tool used to define the development of a disease over time. In schizophrenia, authors have proposed different theoretical staging models of increasing complexity. Therefore, the aims of our study were to provide an updated and critical view of the proposed clinical staging models for schizophrenia and to review the empirical data that support them. METHODS: Systematic literature review following PRISMA guidelines. From the PubMed database and backward reference search, a total of 141 records were retrieved, but only 20 were selected according to the inclusion criteria: (a) available in English; (b) participants with schizophrenia ≥ 18 years; and (c) theoretical and empirical research studies intended to develop, validate, and/or improve staging models of schizophrenia. RESULTS: Different clinical staging models for schizophrenia were identified, information about the proposed stages was tabulated and presented in the Results section (Tables 1, 2). Most of which include neuroimaging, functioning, and psychopathology, but only two models add objective biomarkers and none include patient point of view. However, few models have been psychometrically tested or used small samples and thus have been validated only partially. In addition, five studies proposed therapeutic interventions according to the stage of the disorder from a theoretical point of view. DISCUSSION: In conclusion, it is possible to stage schizophrenia, but the models developed have several limitations. Empirical validation and inclusion of more specific biomarkers and measures of other life areas affected by schizophrenia could help in the development of more valid models.