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Besterman AD. A genetics-guided approach to the clinical management of schizophrenia. Schizophr Res 2024; 267:462-469. [PMID: 37813777 DOI: 10.1016/j.schres.2023.09.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/11/2023]
Abstract
Schizophrenia is a highly heritable, severe mental illness characterized by hallucinations, delusions, social withdrawal, and cognitive dysfunction present in ∼1% of populations across cultures. There have been recent major advancements in our understanding of the genetic architecture of schizophrenia. Both rare, highly penetrant genetic variants as well as common, low-penetrant genetic variants can predispose individuals to schizophrenia and can impact the way people metabolize psychoactive medications used to treat schizophrenia. However, the impact of these findings on the clinical management of schizophrenia remains limited. This review highlights the few places where genetics currently informs schizophrenia management strategies, discusses major limitations, and reviews promising areas of genetics research that are most likely to impact future schizophrenia care. Specifically, I focuss on psychiatric genetic counseling, genetic testing strategies, pharmacogenetics, polygenic risk, and genetics-guided treatment. Lastly, I emphasize important ethical considerations in the clinical use of genetics for schizophrenia management, including the exacerbation of healthcare inequalities and unintended consequences of new genetic technologies.
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Affiliation(s)
- Aaron D Besterman
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA; Rady Children's Hospital San Diego, Division of Behavioral Health Services, San Diego, CA, USA; Rady Children's Institute for Genomic Medicine, San Diego, CA, USA.
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Tieu S, Koivusalo S, Lahti J, Engberg E, Laivuori H, Huvinen E. Genetic risk of type 2 diabetes modifies the association between lifestyle and glycemic health at 5 years postpartum among high-risk women. BMJ Open Diabetes Res Care 2024; 12:e003942. [PMID: 38631819 PMCID: PMC11029483 DOI: 10.1136/bmjdrc-2023-003942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/16/2024] [Indexed: 04/19/2024] Open
Abstract
INTRODUCTION Lifestyle interventions are effective in preventing type 2 diabetes, but genetic background may influence the individual response. In the Finnish gestational diabetes prevention study, RADIEL, lifestyle intervention during pregnancy and first postpartum year was effective in preventing gestational diabetes (GDM) and postpartum glycemic abnormalities only among women at highest genetic risk of type 2 diabetes. This study aimed to assess whether still 5 years postpartum the genetic risk modifies the association between lifestyle and glycemic health. RESEARCH DESIGN AND METHODS The RADIEL study (randomized controlled trial) aimed to prevent GDM with a lifestyle intervention among high-risk women (body mass index ≥30 kg/m2 and/or prior GDM). The follow-up study 5 years postpartum included anthropometric measurements, laboratory assessments, device-measured physical activity (PA), and questionnaires. A Healthy Lifestyle Score (HLS) indicated adherence to lifestyle goals (PA, diet, smoking) and a polygenic risk score (PRS) based on 50 type 2 diabetes risk alleles depicted the genetic risk. RESULTS Altogether 314 women provided genetic and glycemic data 5 years postpartum. The PRS for type 2 diabetes was not associated with glycemic abnormalities, nor was HLS in the total study sample. There was, however, an interaction between HLS and type 2 diabetes PRS on glycemic abnormalities (p=0.03). When assessing the association between HLS and glycemic abnormalities in PRS tertiles, HLS was associated with reduced risk of glycemic abnormalities only among women at the highest genetic risk (p=0.008). CONCLUSIONS These results extend our previous findings from pregnancy and first postpartum year demonstrating that still at 5 years postpartum, healthy lifestyle is associated with a lower risk of prediabetes/diabetes only among women at the highest genetic risk of type 2 diabetes.
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Affiliation(s)
- Sim Tieu
- Helsinki University Central Hospital, Helsinki, Finland
| | | | - Jari Lahti
- Department of Psychology, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Elina Engberg
- Folkhälsan Research Center, Helsinki, Finland
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Hannele Laivuori
- Medical and Clinical Genetics, Helsinki University Hospital, Helsinki, Finland
- Tampere University, Tampere, Finland
| | - Emilia Huvinen
- Department of Obstetrics and Gynecology, University of Helsinki, Helsinki, Finland
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Kytö M, Hotta S, Niinistö S, Marttinen P, Korhonen TE, Markussen LT, Jacucci G, Sievänen H, Vähä-Ypyä H, Korhonen I, Virtanen S, Heihonen S, Koivusalo SB. Periodic mobile application (eMOM) with self-tracking of glucose and lifestyle improves treatment of diet-controlled gestational diabetes without human guidance: a randomized controlled trial. Am J Obstet Gynecol 2024:S0002-9378(24)00416-2. [PMID: 38432415 DOI: 10.1016/j.ajog.2024.02.303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/13/2024] [Accepted: 02/22/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Digitalization with minimal human resources could support self-management among women with gestational diabetes and improve maternal and neonatal outcomes. OBJECTIVE This study aimed to investigate if a periodic mobile application (eMOM) with wearable sensors improves maternal and neonatal outcomes among women with diet-controlled gestational diabetes without additional guidance from healthcare personnel. STUDY DESIGN Women with gestational diabetes were randomly assigned in a 1:1 ratio at 24 to 28 weeks' gestation to the intervention or the control arm. The intervention arm received standard care in combination with use of the periodic eMOM, whereas the control arm received only standard care. The intervention arm used eMOM with a continuous glucose monitor, an activity tracker, and a food diary 1 week/month until delivery. The primary outcome was the change in fasting plasma glucose from baseline to 35 to 37 weeks' gestation. Secondary outcomes included capillary glucose, weight gain, nutrition, physical activity, pregnancy complications, and neonatal outcomes, such as macrosomia. RESULTS In total, 148 women (76 in the intervention arm, 72 in the control arm; average age, 34.1±4.0 years; body mass index, 27.1±5.0 kg/m2) were randomized. The intervention arm showed a lower mean change in fasting plasma glucose than the control arm (difference, -0.15 mmol/L vs -2.7 mg/mL; P=.022) and lower capillary fasting glucose levels (difference, -0.04 mmol/L vs -0.7 mg/mL; P=.002). The intervention arm also increased their intake of vegetables (difference, 11.8 g/MJ; P=.043), decreased their sedentary behavior (difference, -27.3 min/d; P=.043), and increased light physical activity (difference, 22.8 min/d; P=.009) when compared with the control arm. In addition, gestational weight gain was lower (difference, -1.3 kg; P=.015), and there were less newborns with macrosomia in the intervention arm (difference, -13.1 %; P=.036). Adherence to eMOM was high (daily use >90%), and the usage correlated with lower maternal fasting (P=.0006) and postprandial glucose levels (P=.017), weight gain (P=.028), intake of energy (P=.021) and carbohydrates (P=.003), and longer duration of the daily physical activity (P=.0006). There were no significant between-arm differences in terms of pregnancy complications. CONCLUSION Self-tracking of lifestyle factors and glucose levels without additional guidance improves self-management and the treatment of gestational diabetes, which also benefits newborns. The results of this study support the use of digital self-management and education tools in maternity care.
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Affiliation(s)
- Mikko Kytö
- IT Management, Helsinki University Hospital, Helsinki, Finland; Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
| | - Shinji Hotta
- Department of Computer Science, Aalto University, Espoo, Finland; Fujitsu Limited, Japan
| | - Sari Niinistö
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Pekka Marttinen
- Department of Computer Science, Aalto University, Espoo, Finland
| | - Tuuli E Korhonen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Lisa T Markussen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Giulio Jacucci
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Ilkka Korhonen
- Faculty of Biomedical and Health Sciences, Tampere University, Tampere, Finland
| | - Suvi Virtanen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland; Faculty of Social Sciences, Tampere University, Tampere, Finland; Research, Development and Innovation Center, Tampere University Hospital, Tampere, Finland; Center for Child Health Research, Tampere University Hospital and Tampere University, Tampere, Finland
| | - Seppo Heihonen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Saila B Koivusalo
- Shared Group Services, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
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Coelho S, Canha M, Leite AR, Neves JS, Oliveira AI, Carvalho D. Relation between weight gain during pregnancy and postpartum reclassification in gestational diabetes. Endocrine 2023; 82:296-302. [PMID: 37668927 DOI: 10.1007/s12020-023-03441-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 06/22/2023] [Indexed: 09/06/2023]
Abstract
PURPOSE Gestational diabetes mellitus (GDM) is the most common metabolic disease in pregnancy. It is known that GDM is a precursor to type 2 diabetes (T2D). There is evidence that excessive gestational weight variation (GWV) increases the risk of GDM. So, in this study, we aimed to evaluate the association between GWV and the persistence of diabetes in postpartum reclassification. METHODS A retrospective observational study including pregnant women based on data from the Portuguese National Registry of Gestational Diabetes. Six-to-eight weeks after delivery, all women included underwent a reclassification test. We performed unadjusted and adjusted logistic regression models to evaluate the associations between GWV and diabetes diagnosis at the reclassification test. A subgroup analysis according to the pre-gestational BMI was also performed. RESULTS We included 10,389 pregnant women, of which 19.6% had GDM in a previous pregnancy. The median of GWV was 10.0 [6.4, 14.0] kg and was found to be higher for those with a normal BMI. At the DM reclassification test, 1% of the women were diagnosed with T2D. We found a negative association between GWV and postpartum diabetes mellitus (DM). We also present a subgroup analysis, and these associations were only significant for the group with a normal pre-gestational BMI. CONCLUSION Our results showed that women with normal pre-gestational BMI and lower GWV were more likely to have a diagnosis of DM in the postpartum reclassification test. This study helps to fill the gap in the effect of GWG on the persistence of diabetes in postpartum reclassification.
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Affiliation(s)
- Sofia Coelho
- Department of Biomedicins, Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal.
| | - Marta Canha
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Department of Physiology and Cardiothoracic Surgery, Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal
| | - Ana Rita Leite
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Department of Physiology and Cardiothoracic Surgery, Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal
| | - João Sérgio Neves
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Department of Physiology and Cardiothoracic Surgery, Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal
| | | | - Davide Carvalho
- Instituto de Investigação e Inovação em Saúde (i3s), Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal
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Jääskeläinen T, Klemetti MM. Genetic Risk Factors and Gene-Lifestyle Interactions in Gestational Diabetes. Nutrients 2022; 14:nu14224799. [PMID: 36432486 PMCID: PMC9694797 DOI: 10.3390/nu14224799] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
Paralleling the increasing trends of maternal obesity, gestational diabetes (GDM) has become a global health challenge with significant public health repercussions. In addition to short-term adverse outcomes, such as hypertensive pregnancy disorders and fetal macrosomia, in the long term, GDM results in excess cardiometabolic morbidity in both the mother and child. Recent data suggest that women with GDM are characterized by notable phenotypic and genotypic heterogeneity and that frequencies of adverse obstetric and perinatal outcomes are different between physiologic GDM subtypes. However, as of yet, GDM treatment protocols do not differentiate between these subtypes. Mapping the genetic architecture of GDM, as well as accurate phenotypic and genotypic definitions of GDM, could potentially help in the individualization of GDM treatment and assessment of long-term prognoses. In this narrative review, we outline recent studies exploring genetic risk factors of GDM and later type 2 diabetes (T2D) in women with prior GDM. Further, we discuss the current evidence on gene-lifestyle interactions in the development of these diseases. In addition, we point out specific research gaps that still need to be addressed to better understand the complex genetic and metabolic crosstalk within the mother-placenta-fetus triad that contributes to hyperglycemia in pregnancy.
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Affiliation(s)
- Tiina Jääskeläinen
- Department of Food and Nutrition, University of Helsinki, P.O. Box 66, 00014 Helsinki, Finland
- Department of Medical and Clinical Genetics, University of Helsinki, P.O. Box 63, 00014 Helsinki, Finland
- Correspondence:
| | - Miira M. Klemetti
- Department of Medical and Clinical Genetics, University of Helsinki, P.O. Box 63, 00014 Helsinki, Finland
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, P.O. Box 140, 00029 Helsinki, Finland
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Juan J, Sun Y, Wei Y, Wang S, Song G, Yan J, Zhou P, Yang H. Progression to type 2 diabetes mellitus after gestational diabetes mellitus diagnosed by IADPSG criteria: Systematic review and meta-analysis. Front Endocrinol (Lausanne) 2022; 13:1012244. [PMID: 36277725 PMCID: PMC9582268 DOI: 10.3389/fendo.2022.1012244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/21/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND To estimate the progression rates to type 2 diabetes mellitus (T2DM) in women with gestational diabetes mellitus (GDM) diagnosed by the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. METHODS Systematic review and meta-analysis were conducted by searching Medline, Embase, and Cochrane between January 1, 2010 and December 31, 2021 for observational studies investigating progression to T2DM after GDM. Inclusion criteria were IADPSG-diagnosed GDM, studies with both GDM and controls, postpartum follow-up duration at least one year. Data were pooled by random effects meta-analysis models. Heterogeneity was assessed by I2 statistic. The pooled relative risk for incidence of T2DM and pre-diabetes between GDM participants and controls were estimated. Reasons for heterogeneity among studies were investigated by prespecified subgroup and meta-regression analysis. Publication bias was assessed by the Begg's and Egger's tests. RESULTS This meta-analysis of six studies assessed a total of 61932 individuals (21978 women with GDM and 39954 controls). Women with IADPSG-diagnosed GDM were 6.43 times (RR=6.43, 95% CI:3.45-11.96) more likely to develop T2DM in the future compared with controls. For GDM women, the cumulative incidence of T2DM was 12.1% (95% CI: 6.9%-17.3%), while the pooled cumulative incidence of T2DM was estimated to be 8% (95% CI: 5-11%) in studies with 1 to 5 years of follow-up and increased to 19% (95% CI: 3-34%) for studies with more than 5 years of follow-up. Women with IADPSG-diagnosed GDM had 3.69 times (RR=3.69, 95% CI:2.70-5.06) higher risk of developing pre-diabetes (including impaired fasting glucose and/or impaired glucose tolerance) than controls. Meta-regression analysis showed that the study effect size was not significantly associated with study design, race, length of follow-up, and maternal age (P>0.05). Overall, the studies had a relatively low risk of bias. CONCLUSIONS Women with IADPSG-diagnosed GDM have higher risk of developing T2DM and pre-diabetes. The risk of T2DM in GDM women are higher with longer follow-up duration. Our results highlight the importance of promoting postpartum screening and keeping health lifestyle as well as pharmacological interventions to delay/prevent the onset of T2DM/pre-diabetes in GDM women. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero, identifier (CRD42022314776).
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Affiliation(s)
- Juan Juan
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Yiying Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yumei Wei
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Shuang Wang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Geng Song
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Jie Yan
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Pengxiang Zhou
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
- Institute for drug evaluation, Peking University Health Science Center, Beijing, China
| | - Huixia Yang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
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