| 21. |
- Bannbers, Elin, 1984-, et al.
(författare)
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Prefrontal activity during response inhibition decreases over time in the postpartum period
- 2013
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Ingår i: Behavioural Brain Research. - : Elsevier BV. - 0166-4328 .- 1872-7549. ; 241, s. 132-138
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Tidskriftsartikel (refereegranskat)abstract
- The postpartum period is characterized by complex hormonal changes, but human imaging studies in the postpartum period have thus far predominantly focused on the neural correlates of maternal behavior or postpartum depression, whereas longitudinal studies on neural correlates of cognitive function across the postpartum period in healthy women are lacking. The aim of this study was to longitudinally examine response inhibition, as a measure of executive function, during the postpartum period and its neural correlates in healthy postpartum women and non-postpartum controls. Thirteen healthy postpartum women underwent event-related functional magnetic resonance imaging while performing a Go/NoGo task. The first assessment was made within 48 h of delivery, and the second at 4-7 weeks postpartum. In addition, 13 healthy women examined twice during the menstrual cycle were included as non-postpartum controls. In postpartum women region of interest analyses revealed task-related decreased activations in the right inferior frontal gyrus, right anterior cingulate, and bilateral precentral gyri at the late postpartum assessment. Generally, postpartum women displayed lower activity during response inhibition in the bilateral inferior frontal gyri and precentral gyri compared to non-postpartum controls. No differences in performance on the Go/NoGo task were found between time-points or between groups. In conclusion, this study has discovered that brain activity in prefrontal areas during a response inhibition task decreases throughout the course of the first postpartum weeks and is lower than in non-postpartum controls. Further studies on the normal adaptive brain activity changes that occur during the postpartum period are warranted. (C) 2012 Elsevier B.V. All rights reserved.
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| 22. |
- Bazargani, Farnaz, et al.
(författare)
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Conception by means of in vitro fertilization (IVF) is not associated with nausea and vomiting of pregnancy
- 2020
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Konferensbidrag (refereegranskat)abstract
- Study question:Is there any association between mode of conception or IVF-related variables and nausea and vomiting of pregnancy (NVP)?Summary answer:Conception by means of IVF is not associated with NVP but the stage of the transferred embryo may affect NVP development.What is known already:The exact cause of NVP is unknown but risk factors including increased hormonal levels, maternal distress and anxiety disorders, also described in IVF populations, have been reported. There are only a few studies exploring NVP in IVF samples. A population-based study examining the characteristics of women who suffered from a severe form of NVP, it was reported that women with severe NVP had more often conceived through assisted reproduction techniques. So far, the relationship between NVP and IVF or different treatment related parameters in the IVF population in relation to NVP remains unclear.Study design, size, duration:The study is a longitudinal, matched - cohort, pilot study including 630 pregnant women with singletons without malformations, recruited during the pregnancy ultrasound in gestational week 17 (GW 17). The study was conducted between 2010-2016 at the University Hospital of Uppsala, Sweden.Participants/materials, setting, methods:The study population comprised 210 women with IVF conceived pregnancies and 420 age and parity matched women with spontaneous pregnancies. All participants self-reported sociodemographic and pregnancy-related information. IVF treatment data were obtained after scrutinization of the medical records. The outcome, NVP at GW 17, was divided into: 1) absence of NVP, 2) NVP not requiring medications and 3) NVP requiring medications. NVP was then studied in relation to exposure and to different IVF treatment-associated variables.Main results and the role of chance:The mean age of the participants was 33.7 years with 2/3 of the participants being primipara. IVF pregnant women reported more frequently comorbidities (such as hypertension, diabetes, migraine etc) (59.1% vs 49.9%), but less frequently alcohol consumption (38.4% vs 48.7%) compared to women with spontaneous pregnancies. Clinical and sociodemographic characteristics such as education, employment, smoking habits, maternal BMI, depression history, delivery fear and newborn gender, were otherwise similar between the groups. NVP with or without medications was not associated with mode of conception (p=0.889); 11.4% of women who conceived through IVF suffered from NVP requiring medications and 62.4% from unmedicated NVP vs 10.8% and 64.3% respectively of women with spontaneous pregnancies. Absence of NVP was reported by 26.2% of IVF and 24.9% of spontaneously pregnant women. However, in a subgroup analysis in the group of women who conceived through IVF, NVP was more frequently seen in the group who received cleavage stage embryos vs blastocysts (p=0.019). We could not however find any significant difference in the rate of NVP with or without medications between fresh (69.4%) or frozen/thawed embryo transfers (78.5%), nor between IVF(72.3%) and intracytoplasmic sperm injection(ICSI)(77.4%) treatments. Lastly, there was no significant difference between infertility diagnosis and NVP.Limitations, reasons for caution:The study had limited power to detect differences in NVP in relation to mode of conception. In addition, there was a missing rate of 30.5% in the reported embryo stage variable. Finally, the rate of blastocyst-transfers during that period was lower than otherwise expected with current statistics.Wider implications of the findings:It is still unclear whether IVF has an impact on the risk of NVP. However, transfer of a blastocyst may decrease the risk of developing NVP.
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| 23. |
- Bilal, Ayesha, et al.
(författare)
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Mom2B: a study of perinatal health via smartphone application and machine learning methods
- 2022
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Ingår i: European Psychiatry. - : Royal College of Psychiatrists. - 0924-9338 .- 1778-3585. ; 65:S1
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Tidskriftsartikel (refereegranskat)abstract
- IntroductionPeripartum depression (PPD) impacts around 12% of women globally and is a leading cause of maternal mortality. However, there are currently no accurate methods in use to identify women at high risk for depressive symptoms on an individual level. An initial study was done to assess the value of deep learning models to predict perinatal depression from women at six weeks postpartum. Clinical, demographic, and psychometric questionnaire data was obtained from the “Biology, Affect, Stress, Imaging and Cognition during Pregnancy and the Puerperium†(BASIC) cohort, collected from 2009-2018 in Uppsala, Sweden. An ensemble of artificial neural networks and decision trees-based classifiers with majority voting gave the best and balanced results, with nearly 75% accuracy. Predictive variables identified in this study were used to inform the development of the ongoing Swedish Mom2B study.ObjectivesThe aim of the Mom2be study is to use digital phenotyping data collected via the Mom2B mobile app to evaluate predictive models of the risk of perinatal depression.MethodsIn the Mom2B app, clinical, sociodemographic and psychometric information is collected through questionnaires, including the Edinburgh Postnatal Depression Scale (EPDS). Audio recordings are recurrently obtained upon prompts, and passive data from smartphone sensors and activity logs, reflecting social-media activity and mobility patterns. Subsequently, we will implement and evaluate advanced machine learning and deep learning models to predict the risk of PPD in the third pregnancy trimester, as well as during the early and late postpartum period, and identify variables with the strongest predictive value.ResultsAnalyses are ongoing.ConclusionsPending results.DisclosureNo significant relationships.
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| 24. |
- Bilal, Ayesha, et al.
(författare)
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Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B) : study protocol
- 2022
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Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 12:4
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Perinatal complications, such as perinatal depression and preterm birth, are major causes of morbidity and mortality for the mother and the child. Prediction of high risk can allow for early delivery of existing interventions for prevention. This ongoing study aims to use digital phenotyping data from the Mom2B smartphone application to develop models to predict women at high risk for mental and somatic complications.Methods and analysis: All Swedish-speaking women over 18 years, who are either pregnant or within 3 months postpartum are eligible to participate by downloading the Mom2B smartphone app. We aim to recruit at least 5000 participants with completed outcome measures. Throughout the pregnancy and within the first year postpartum, both active and passive data are collected via the app in an effort to establish a participant's digital phenotype. Active data collection consists of surveys related to participant background information, mental and physical health, lifestyle, and social circumstances, as well as voice recordings. Participants' general smartphone activity, geographical movement patterns, social media activity and cognitive patterns can be estimated through passive data collection from smartphone sensors and activity logs. The outcomes will be measured using surveys, such as the Edinburgh Postnatal Depression Scale, and through linkage to national registers, from where information on registered clinical diagnoses and received care, including prescribed medication, can be obtained. Advanced machine learning and deep learning techniques will be applied to these multimodal data in order to develop accurate algorithms for the prediction of perinatal depression and preterm birth. In this way, earlier intervention may be possible.Ethics and dissemination: Ethical approval has been obtained from the Swedish Ethical Review Authority (dnr: 2019/01170, with amendments), and the project fully fulfils the General Data Protection Regulation (GDPR) requirements. All participants provide consent to participate and can withdraw their participation at any time. Results from this project will be disseminated in international peer-reviewed journals and presented in relevant conferences.
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| 25. |
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| 26. |
- Björvang, Richelle D., et al.
(författare)
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Association of Diabetes Mellitus in Pregnancy and Perinatal Depression
- 2024
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Ingår i: Psychosomatic Medicine. - : Wolters Kluwer. - 0033-3174 .- 1534-7796. ; 86:1, s. 52-58
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Tidskriftsartikel (refereegranskat)abstract
- Objective Diabetes is frequently linked with depression, and both conditions are common complications during pregnancy. However, research findings exploring the relationship between diabetes mellitus in pregnancy (DMP) and perinatal depression (PND) have been inconsistent. Thus, this study seeks to examine the association between DMP and PND in a prospective population-based cohort.Methods Women aged 18 to 48 years (n = 4459) were identified from the Biology, Affect, Stress, Imaging and Cognition study. The diagnosis of DMP was based on International Classification of Diseases code O24 from medical records and was classified as pregestational, gestational, or unspecified diabetes. PND was assessed using psychometric instruments, clinical interviews, and/or register data and categorized into antepartum or postpartum depression. Multivariable logistic regressions were used to study the associations of DMP with antepartum and postpartum depression. The association between DMP and continuous depression scores, antepartum and postpartum, was investigated with multivariable linear regressions.Results Of 4459 pregnancies, 949 women had antepartum depression (21.2%) and 1123 had postpartum depression (25%). DMP had a prevalence of 1.2%. Women with DMP had twofold higher odds for postpartum depression compared with women without DMP. Although no association was observed between DMP and antepartum depression, DMP was associated with higher antepartum depression scores.Conclusions Our study shows an association between DMP and PND, which might be considered a risk factor when screening for high-risk groups.
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| 27. |
- Breedh, Julia, et al.
(författare)
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Hypothalamic-pituitary-adrenal axis responsiveness, startle response, and sensorimotor gating in late pregnancy
- 2019
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Ingår i: Psychoneuroendocrinology. - : Elsevier BV. - 0306-4530 .- 1873-3360. ; 106, s. 1-8
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Tidskriftsartikel (refereegranskat)abstract
- During pregnancy, the hypothalamic-pituitary-adrenal (HPA) axis, the main regulator of the stress response, undergoes dramatic changes. The acoustic startle response (ASR) and the prepulse inhibition (PPI) of the startle response are neurophysiological research tools and objective measures of an individual's response to an emotional context or stressor. The ASR and PPI are influenced by psychiatric diseases characterized by anxiety symptoms and are sensitive to cortisol. Hence, the ASR and the PPI can be used to investigate the effects of pregnancy-induced endocrine changes and their contribution to affective disorders. The present study sought to investigate the association between measures of HPA-axis responsiveness, startle reactivity and sensorimotor gating during pregnancy that to date remains unknown. The eye-blink component of the ASR, and its prepulse inhibition, were measured in 107 late third trimester pregnant women. Saliva samples were collected to assess the cortisol awakening response (CAR), a measure of HPA-axis activity. Blood was sampled to measure serum levels of cortisol, cortisone and the cortisone to cortisol ratio. Ongoing anxiety disorders, sleep duration, smoking, and age were considered as potential confounders in the statistical analyses. CAR reactivity, measured as area under the curve (AUC) increase and above baseline, was positively associated with baseline startle magnitude [Cohen's d = 0.27; F (1, 105) = 4.99; p = 0.028, and Cohen's d = 0.30; F (1, 105) = 6.25; p = 0.014, respectively] as well as PPI at 86 dB [Cohen's d = 0.29; F (1, 105) = 5.93; p = 0.017; and Cohen's d = 0.34; F (1, 105) = 8.38; p = 0.005, respectively]. The observed positive correlation between startle magnitude in pregnant women and greater increase in cortisol during the awakening response may be interpreted as heightened neurophysiological reactivity, likely associated with dysregulation of the stress system.
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| 28. |
- Bränn, Emma, 1988-
(författare)
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Biomarkers for Peripartum Depression : Focusing on aspects of the immune system and the metabolome
- 2021
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Peripartum depression is a common, multifactorial, and potentially devastating disease among new mothers. A biological marker for peripartum depression would facilitate early detection, better understanding of the pathophysiology, and identification of targets for treatment. Evidence is growing for a potential role of the immune system in depression outside the peripartum period. Major adaptations of the immune system occur during pregnancy, justifying the search for immunological markers for peripartum depression. The immune system is very complex and dynamic during pregnancy, complicating the study of associations with depression. The metabolome is also affected by pregnancy and is linked to the immune system via, e.g., the microbiota. Hence, metabolomic profiling could increase the understanding of peripartum depression. This thesis aimed to explore inflammatory markers and metabolic profiles in the peripartum period, in order to discover possible biomarkers, and to increase the understanding of the pathophysiology of peripartum depression.All studies were conducted within the Biology, Affect, Stress, Imaging, and Cognition (BASIC) study. The Edinburgh Postnatal Depression Scale and the Mini International Neuropsychiatric Interview were used to assess depressive symptoms. Multiplex Proximity Extension assays were used to analyze inflammatory markers in pregnancy and postpartum. Luminex Bio-Plex Pro Human Cytokine Assays were used to analyze cytokine levels across the peripartum period, and gas chromatography-mass spectrometry metabolomics were used for metabolic profiling. No marker was discriminative enough to be used on its own as a biomarker for peripartum depression. However, several inflammatory markers (such as STAM-BP, TRANCE, HGF, IL-18, FGF-23, and CXCL1) were identified as possible candidates for more advanced diagnostic algorithms. The results further pointed towards the importance of adaptation of the immune system during pregnancy and postpartum, where levels of cytokines such as VEGF-A might have an important role in antenatal and postpartum depression. The results even highlight the importance of examination timing. Lastly, the metabolic profiling suggested different subgroups of women with postpartum depressive symptoms, supporting theories of peripartum depression being a heterogeneous disease in need of subgroup definition.
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| 29. |
- Bränn, Emma, et al.
(författare)
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Inflammatory and anti-inflammatory markers in plasma : from late pregnancy to early postpartum
- 2019
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Ingår i: Scientific Reports. - : NATURE PUBLISHING GROUP. - 2045-2322. ; 9
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Tidskriftsartikel (refereegranskat)abstract
- During pregnancy, the woman's body undergoes tremendous changes in immune system adaptation. The immunological shifts that occur in pregnancy can partially be explained by alterations in hormonal levels. Furthermore, during pregnancy, many autoimmune diseases go into remission, only to flare again in the early postpartum period. Given these important changes in the clinical course of a number of autoimmune disorders, surprisingly little has been done to investigate the inflammatory profile changes across pregnancy and the postpartum period. Thus, the aim of this study was to describe how inflammatory and anti-inflammatory markers change from late pregnancy to the early postpartum period, using a multiplexed assay consisting of both well-known as well as exploratory proteins. Two-hundred-and-ninety women were included in this study and donated a total of 312 blood samples; 198 in late pregnancy (similar to gw38) and 114 in the postpartum period (similar to w8). The plasma blood samples were analyzed for 92 immune system related protein markers using Proseek Multiplex Inflammation I panel, a high-sensitivity assay based on proximity extension assay technology. Fifty-six inflammatory and anti-inflammatory markers were significantly different between pregnancy and the postpartum, of which 50 survived corrections for multiple comparisons. Out of these 50 markers, 41 decreased from pregnancy to postpartum, while the remaining 9 increased in the postpartum period. The top five markers with the greatest decrease in the postpartum period were Leukemia inhibitory factor receptor (LIF-R), Latency-associated peptide Transforming growth factor beta-1 (LAP TGF-beta-1), C-C motif chemokine 28 (CCL28), Oncostatin M (OSM) and Fibroblast growth factor 21 (FGF21). Top three markers that increased in the postpartum period were Tumor necrosis factor ligand superfamily member 11 (TRANCE), Tumor necrosis factor ligand superfamily member 12 (TWEAK), and C-C motif chemokine/Eotaxin (CCL11). This study revealed that the majority of the markers decreased from pregnancy to postpartum, and only a few increased. Several of the top proteins that were higher in pregnancy than postpartum have anti-inflammatory and immune modulatory properties promoting pregnancy progress. These results clearly reflect the tremendous change in the immune system in the pregnancy to postpartum transition.
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| 30. |
- Bränn, Emma, et al.
(författare)
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Inflammatory markers in late pregnancy in association with postpartum depression-A nested case-control study.
- 2017
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Ingår i: Psychoneuroendocrinology. - : Elsevier BV. - 0306-4530 .- 1873-3360. ; 79, s. 146-159
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Tidskriftsartikel (refereegranskat)abstract
- Recent studies indicate that the immune system adaptation during pregnancy could play a significant role in the pathophysiology of perinatal depression. The aim of this study was to investigate if inflammation markers in a late pregnancy plasma sample can predict the presence of depressive symptoms at eight weeks postpartum. Blood samples from 291 pregnant women (median and IQR for days to delivery, 13 and 7-23days respectively) comprising 63 individuals with postpartum depressive symptoms, as assessed by the Edinburgh postnatal depression scale (EPDS≥12) and/or the Mini International Neuropsychiatric Interview (M.I.N.I.) and 228 controls were analyzed with an inflammation protein panel using multiplex proximity extension assay technology, comprising of 92 inflammation-associated markers. A summary inflammation variable was also calculated. Logistic regression, LASSO and Elastic net analyses were implemented. Forty markers were lower in late pregnancy among women with depressive symptoms postpartum. The difference remained statistically significant for STAM-BP (or otherwise AMSH), AXIN-1, ADA, ST1A1 and IL-10, after Bonferroni correction. The summary inflammation variable was ranked as the second best variable, following personal history of depression, in predicting depressive symptoms postpartum. The protein-level findings for STAM-BP and ST1A1 were validated in relation to methylation status of loci in the respective genes in a different population, using openly available data. This explorative approach revealed differences in late pregnancy levels of inflammation markers between women presenting with depressive symptoms postpartum and controls, previously not described in the literature. Despite the fact that the results do not support the use of a single inflammation marker in late pregnancy for assessing risk of postpartum depression, the use of STAM-BP or the novel notion of a summary inflammation variable developed in this work might be used in combination with other biological markers in the future.
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