A Mediterranean Diet-Based Metabolomic Score and Cognitive Decline in Older Adults: A Case-Control Analysis Nested within the Three-City Cohort Study.

SCOPE: Evidence on the Mediterranean diet (MD) and age-related cognitive decline (CD) is still inconclusive partly due to self-reported dietary assessment. The aim of the current study is to develop an MD- metabolomic score (MDMS) and investigate its association with CD in community-dwelling older adults. METHODS AND RESULTS: This study includes participants from the Three-City Study from the Bordeaux (n = 418) and Dijon (n = 422) cohorts who are free of dementia at baseline. Repeated measures of cognition over 12 years are collected. An MDMS is designed based on serum biomarkers related to MD key food groups and using a targeted metabolomics platform. Associations with CD are investigated through conditional logistic regression (matched on age, sex, and education level) in both sample sets. The MDMS is found to be inversely associated with CD (odds ratio [OR] [95% confidence interval (CI)] = 0.90 [0.80-1.00]; p = 0.048) in the Bordeaux (discovery) cohort. Results are comparable in the Dijon (validation) cohort, with a trend toward significance (OR [95% CI] = 0.91 [0.83-1.01]; p = 0.084). CONCLUSIONS: A greater adherence to the MD, here assessed by a serum MDMS, is associated with lower odds of CD in older adults.

"Guttmann Cognitest"®, preliminary validation of a digital solution to test cognitive performance.

Thanks to technological advances, the administration of cognitive assessments via digital solutions continues to increase, both in research and clinical practice. "Guttmann Cognitest"°ledR is a digital solution for cognitive assessment which includes seven computerized tasks designed to assess main cognitive functions requiring approximately 20 min to be completed. The purpose of the present study was to validate it against standard and more extensive in-person neuropsychological assessments in the context of the Barcelona Brain Health Initiative (BBHI) cohort study. We studied 274 participants of the BBHI (126 women, mean age = 56.14, age range 44-69), who underwent an extensive in-person assessment, including a classical paper-and-pencil neuropsychological assessment and a cognitive assessment via the "Guttmann Cognitest"°ledR. Principal component analysis indicated that "Guttmann Cognitest"°ledR measures four main cognitive domains and convergent validity analysis demonstrated that cognitive performance was associated with gold standard paper and pencil tests. Results also showed an expected negative correlation with age, a relation with educational level as well as a gender effect. Regression-based norming equations for the sample tested are also reported. Performing a cognitive assessment with this digital solution is feasible and potentially useful to gather information about cognitive functioning in large samples and experimental settings.

Obstetric outcomes regarding the use of lithium in pregnant women with bipolar disorders: a prospective cohort study.

Lithium is the mood stabilizer of choice for the prevention of bipolar relapse over the perinatal period. A critical issue is its safety of the mother and the developing fetus. This study aims to compare obstetric outcomes in women with bipolar disorders (BD) regarding treatment with lithium during pregnancy. We enrolled a cohort of pregnant women with BD that received care at the Perinatal Mental Health Unit of a tertiary hospital between January 2005 and March 2017. The exposed group received lithium during pregnancy, whereas the unexposed group did not. The main outcomes were obstetric complications during pregnancy, during labor and delivery, neonatal complications, and congenital malformations. Demographic and clinical data were described using measures of frequency, central tendency, and dispersion. Between-group differences were calculated with chi-square, Fisher's test, t-tests, or Mann-Whitney U test. Our cohort included 100 pregnant women with BD: 53 (53%) used lithium during pregnancy, and 47 (47%) did not. There were no significant differences in obstetric complications, neonatal complications, or congenital anomalies. Nonetheless, newborns of lithium-treated women had lower Apgar scores at 1 min (mean 8.2 ± 1.6 vs. 8.9 ± 0.6, p = 0.026) and 5 min (9.6 ± 0.8 vs. 9.9 ± 0.5, p = 0.015). Our findings do not identify worse obstetric outcomes in women with BD that take lithium during pregnancy, except for an impact on newborn Apgar scores. Lithium might be an adequate treatment for pregnant women with BD, especially for those with a high recurrence risk, and always after an individualized risk-benefit assessment.

Personality traits as a risk factor for postpartum depression: A systematic review and meta-analysis.

BACKGROUND: Certain personality traits increase vulnerability to depression, but the evidence linking personality and postpartum depression (PPD) is less robust. This systematic review aimed to identify personality traits that increase the risk of PPD. METHODS: We systematically reviewed studies retrieved from PubMed/Medline, PsycINFO, Scopus, CINAHL, and Cochrane, following the PRISMA guidelines for reporting. We carried out a meta-analysis on the association between neuroticism and PPD. RESULTS: A total of 34 studies were analyzed. Of these, 31 considered at least one trait associated with PPD; 10 studies considered at least one trait not associated with PPD. The meta-analysis included 13 studies, concluding that neuroticism was associated with PPD (OR: 1.37; 95%CI: 1.22-1.53; p<0.001). LIMITATIONS: Study design and approach to personality assessment influence results. Prospective longitudinal studies of persons with no prior history of mood disorder would provide stronger evidence about whether particular personality traits predict PPD. Most studies reviewed used self-report measures to assess personality. Study design and approach to personality assessment influence results, and indications of publication bias were found. CONCLUSIONS: Neuroticism is the personality trait most widely studied in relation to PPD. Our meta-analysis found this trait is strongly related with PPD. Moreover, vulnerable personality style and trait anxiety are also associated with PPD. Screening for these traits might help identify women at risk, improving prevention, early detection, and possibly treatment.

Intelligent Coaching Assistant for the Promotion of Healthy Habits in a Multidomain mHealth-Based Intervention for Brain Health.

Brain Health is defined as the development and preservation of optimal brain integrity and neural network functioning for a given age. Recent studies have related healthy habits with better maintenance of brain health across the lifespan. As a part of the Barcelona Brain Health Initiative (BBHI), a mHealth platform has been developed with the purpose of helping people to improve and monitor their healthy habits, facilitating the delivery of health coaching strategies. A decision support system (DSS), named Intelligent Coaching Assistant (ICA), has been developed to ease the work of professional brain health coaches, helping them design and monitor adherence to multidomain interventions in a more efficient manner. Personalized recommendations are based on users' current healthy habits, individual preferences, and motivational aspects. Taking these inputs, an initial user profile is defined, and the ICA applies an algorithm for determining the most suitable personalized intervention plan. An initial validation has been done focusing on assessing the feasibility and usability of the solution, involving 20 participants for three weeks. We conclude that this kind of technology-based intervention is feasible and implementable in real-world settings. Importantly, the personalized intervention proposal generated by the DSS is feasible and its acceptability and usability are high.

Phytochemicals in Legumes: A Qualitative Reviewed Analysis.

Legumes are an excellent source of nutrients and phytochemicals. They have been recognized for their contributions to health, sustainability, and the economy. Although legumes comprise several species and varieties, little is known about the differences in their phytochemical composition and the magnitude of these. Therefore, the aim of this review is to describe and compare the qualitative profile of phytochemicals contained in legumes and identified through LC-MS and GC-MS methods. Among the 478 phytochemicals reported in 52 varieties of legumes, phenolic compounds were by far the most frequently described (n = 405, 85%). Metabolomics data analysis tools were used to visualize the qualitative differences, showing beans to be the most widely analyzed legumes and those with the highest number of discriminant phytochemicals (n = 180, 38%). A Venn diagram showed that lentils, beans, soybeans, and chickpeas shared only 7% of their compounds. This work highlighted the huge chemical diversity among legumes and identified the need for further research in this field and the use of metabolomics as a promising tool to achieve it.

Discovery of Intake Biomarkers of Lentils, Chickpeas, and White Beans by Untargeted LC-MS Metabolomics in Serum and Urine.

SCOPE: To identify reliable biomarkers of food intake (BFIs) of pulses. METHODS AND RESULTS: A randomized crossover postprandial intervention study is conducted on 11 volunteers who consumed lentils, chickpeas, and white beans. Urine and serum samples are collected at distinct postprandial time points up to 48 h, and analyzed by LC-HR-MS untargeted metabolomics. Hypaphorine, trigonelline, several small peptides, and polyphenol-derived metabolites prove to be the most discriminating urinary metabolites. Two arginine-related compounds, dopamine sulfate and epicatechin metabolites, with their microbial derivatives, are identified only after intake of lentils, whereas protocatechuic acid is identified only after consumption of chickpeas. Urinary hydroxyjasmonic and hydroxydihydrojasmonic acids, as well as serum pipecolic acid and methylcysteine, are found after white bean consumption. Most of the metabolites identified in the postprandial study are replicated as discriminants in 24 h urine samples, demonstrating that in this case the use of a single, noninvasive sample is suitable for revealing the consumption of pulses. CONCLUSIONS: The results of the present untargeted metabolomics work reveals a broad list of metabolites that are candidates for use as biomarkers of pulse intake. Further studies are needed to validate these BFIs and to find the best combinations of them to boost their specificity.

Obstetric complications in bipolar disorder: Psychiatric factors and the risk of caesarean section.

Bipolar Disorder (BD) is a chronic psychiatric condition with somatic morbidity that requires continuous mood stabilizing treatment to prevent relapses. Pregnant women with BD have shown an increased rate of caesarean section (C-Section) in comparison with women without BD. Because specific differentiated profiles between mothers with BD that require C-Section and those that do not require C-Section have not been largely discussed, we aim to explore the risk factors associated with the type of delivery in pregnant women with BD. A prospective cohort study was conducted at the Perinatal Mental Health Unit. 100 pregnant women with BD were followed throughout their pregnancy by obstetric and psychiatric services at the same hospital. The cohort was developed in order to compare psychiatric and obstetric outcomes between women with BD that required C-Section (N = 40) versus women that did not require C-Section (N = 60). Final regression models showed an increased risk for obstetric complications during labour (OR 4,52, 95% CI 1,66-12,29), higher rates of hypothyroidism (OR 3,73, 95% CI 1,04-13,73) and treatment with lithium + antidepressant (OR 4,24, 95% CI 1,34-13,40) amongst the C-Section group when compared to the non-C-Section group. In our sample, women with BD treated with lithium plus antidepressant, with hypothyroidism and without obstetric complications have a 70,5% probability of C-Section. In conclusion, psychopharmacology and thyroid function might help understanding which women with BD will have more probability of C-Section. The implementation of more targeted interventions in selected patients might be useful to avoid complications during delivery.

Obstetric complications in bipolar disorder: The role of mental health disorders in the risk of caesarean section.

BACKGROUND: Women with Bipolar Disorder (BD) during pregnancy present a negative impact on them and their babies' health. Caesarean Section (C-Section) is an intervention to reduce complications associated with childbirth, but it also has risks, including maternal infections, anaesthetic and psychological complications. There are few studies that analyse the C-Section rates in women with BD compared to the general population. METHODS: A case-control study was conducted in a general university hospital. 100 pregnant women with BD matched with 100 controls without psychiatric illness who were attending the same hospital at delivery. We compared obstetrical outcomes during pregnancy, Pre/During Labour, onset of labour and mode of delivery specifying the type of C-Section. RESULTS: Rate of C-Section was significantly higher in BD group compared to the control group (OR=2, 95% CI 1,4-1,6). Case group had more somatic illness (SI) without treatment (P<, 001). BD (P=,021), primiparity (P=, 003), obstetric complications during pregnancy (P<, 001), obstetric complications during labour (P<,001), and SI with and without treatment (P<,001 and P=,007, respectively) were higher in women that required C- section. CONCLUSION: Women with Bipolar Disorder have near two-fold increased risk of C-section than women without Bipolar Disorder of similar age, gestational age and parity. Somatic illness was more prevalent in BD group that required C-section and this relation probably is related to high probability of having somatic comorbidities in patients with BD.

Course of a major postpartum depressive episode: A prospective 2 years naturalistic follow-up study.

BACKGROUND: Survival methodology has not already been used in studies about postpartum depression (PPD) course. The aims of the present study were to estimate the duration of a Major Postpartum Depressive Episode (MPDE) during 2 years, as well as to explore factors associated with the course. METHOD: This was a prospective, naturalistic, longitudinal study with a cohort of 165 women with a MPDE (DSM-IV criteria). Potential predictors of prognosis were recorded at baseline. Follow-up was conducted using the Longitudinal Interval Follow-up Evaluation (LIFE). RESULTS: Of the total sample, 110 (66.7%) completed the 2 years follow-up. The mean time to full remission was 49.4 weeks (95% CI: 44.0-59.8). The probability of recovering was 30.2% (95% CI: 22.1%-37.4%) at 6 months of follow-up, 66.3% (95% CI: 57.4%-73.4%) at 12 months of follow-up, and 90.3% (95% CI: 79.8%-95.4%) at 24 months of follow-up. Mothers with financial difficulties, onset of depressive episode previous to birth, and those with prior treated depressive episodes took longer in achieving full remission. LIMITATIONS: Results are only generalizable to mothers with PPD treated in a psychiatric outpatient setting. Psychopharmacological treatment was uncontrolled and personality was not assessed. CONCLUSIONS: Our findings suggest that PPD could become a chronic disorder, particularly in mothers with an onset of the episode previous to birth, with a history of depression or with financial problems. Knowledge of these factors may help to improve the guidelines of depression management and treatment during the perinatal period.

Mother-infant bonding in the postpartum period: assessment of the impact of pre-delivery factors in a clinical sample.

This study aims to examine the extent to which a variety of pre-delivery factors (demographic, reproductive, psychological, psychiatric, and psychopathological) predict disturbances in mother-infant bonding (MIB) in the postpartum period. Two hundred fifty-one pregnant women enrolled at a public perinatal psychiatric service were assessed between the first and second trimester of pregnancy and at 6-7 weeks after delivery. During pregnancy, the psychological risk factors were assessed with the Vulnerable Personality Style Questionnaire, the Marital Adjustment Scale, the Early Trauma Inventory, and the General Health Questionnaire. To detect psychopathology, the Edinburgh Postnatal Depression Scale and the State-Trait Anxiety Inventory were used. At the postpartum evaluation, MIB was measured by the Postpartum Bonding Questionnaire. The results of the final regression model showed that emotional abuse in childhood, family psychiatric history, previous psychiatric hospitalization, and anxiety during pregnancy were significant predictors of MIB disturbances in postpartum, explaining 10.7% of the variance. The evaluation of women's risk factors in pregnancy is important in order to prevent MIB disturbances and thus to ensure the welfare of mothers and their babies.

Mitochondrial permeabilization engages NF-κB-dependent anti-tumour activity under caspase deficiency.

Apoptosis represents a key anti-cancer therapeutic effector mechanism. During apoptosis, mitochondrial outer membrane permeabilization (MOMP) typically kills cells even in the absence of caspase activity. Caspase activity can also have a variety of unwanted consequences that include DNA damage. We therefore investigated whether MOMP-induced caspase-independent cell death (CICD) might be a better way to kill cancer cells. We find that cells undergoing CICD display potent pro-inflammatory effects relative to apoptosis. Underlying this, MOMP was found to stimulate NF-κB activity through the downregulation of inhibitor of apoptosis proteins. Strikingly, engagement of CICD displays potent anti-tumorigenic effects, often promoting complete tumour regression in a manner dependent on intact immunity. Our data demonstrate that by activating NF-κB, MOMP can exert additional signalling functions besides triggering cell death. Moreover, they support a rationale for engaging caspase-independent cell death in cell-killing anti-cancer therapies.

Pathological gambling in a psychiatric sample.

OBJECTIVE: This study determines the prevalence of gambling difficulties in a consecutive sample of psychiatric inpatients and compares it with a nonpsychiatric inpatient sample. In addition, the gambling prevalence among all psychiatric disorders is analyzed. METHOD: An observational study was conducted in psychiatric patients and sex- and age-matched nonpsychiatric patients. The psychiatric group (n = 100) included all consecutive patients admitted to the psychiatric unit of our hospital. The nonpsychiatric group (n = 100) included psychiatrically healthy inpatients from any other hospital unit. The National Opinion Research Center Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Screen for Gambling Problems was used to screen for gambling behavior. RESULTS: Gambling difficulties were experienced by 3% (2% pathological gambling and 1% problem gambling) of nonpsychiatric inpatients and 9% (8% pathological gambling and 1% problem gambling) of psychiatric inpatients, including 6 with psychotic disorders, 1 with mood disorder, 1 with adjustment disorder, and 1 with eating disorder. There were no statistical differences in gambling prevalence between groups. In terms of comorbidity, patients with psychotic disorder had a higher prevalence of gambling problems than other psychiatric disorders (P = .045). CONCLUSIONS: A higher prevalence of gambling disorders was found in psychiatric inpatients than in nonpsychiatric inpatients. It may be advisable for therapists to routinely assess for gambling difficulties as part of the psychiatric evaluation.