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Takano R, Tominaga Y, Fu DJ, Moyer JA, Cheng Y, Okada K. Self-administered generational surveys combine with genetic analysis to reveal foundations of depression in Japanese adults. J Affect Disord 2024; 356:204-214. [PMID: 38599254 DOI: 10.1016/j.jad.2024.04.021] [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: 08/16/2023] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND Major depressive disorder is a prevalent psychiatric illness characterized by mood disturbances and influenced by various environmental and genetic factors, yet its etiology remains largely unknown. METHODS We profiled a self-reported depressive population in Japan with a focus on sociodemographic background, lifestyle, comorbidities, and genetic background, using data from two cohorts, a population-based cohort and a three-generation cohort, recruited by the Tohoku Medical Megabank Organization until December 2021. RESULTS Our findings revealed that depression in the Japanese population is strongly associated with certain sociocultural features prevalent in Japan, such as social isolation, neuroticism, and introversion, as well as with well-known risk factors that include age and gender. Environmental factors related to the Great East Japan Earthquake, considered as cohort characteristics, were also strongly associated with the onset of depression. Moreover, using GWAS analysis of whole-genome sequencing data, we identified novel candidate genetic risk variants located on chromosomes 21 and 22 that are associated with depression in Japanese individuals; further validation of these risk variants is warranted. LIMITATIONS Our study has limitations, including uncertain clinical relevance resulting from the use of self-reported questionnaires for depression assessment. Additionally, the cohort exhibited a population bias, with greater representation of women than men. CONCLUSIONS Our results provide holistic insights into depression risk factors in Japanese adults, although their associations with depression are correlations. This supports the idea that targeted interventions and individualized approaches are important for addressing depression in the Japanese population.
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Affiliation(s)
- Ryo Takano
- Janssen Pharmaceutical K.K., Tokyo, Japan
| | | | - Dong-Jing Fu
- Janssen Research and Development, Titusville, NJ, USA
| | - John A Moyer
- Janssen Research and Development, Titusville, NJ, USA
| | - Yang Cheng
- Janssen China Research and Development, Shanghai, China
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Chen G, Ishikuro M, Ohseto H, Murakami K, Noda A, Shinoda G, Orui M, Obara T, Kuriyama S. Hypertensive disorders of pregnancy, neonatal outcomes and offspring developmental delay in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Acta Obstet Gynecol Scand 2024; 103:1192-1200. [PMID: 38454539 PMCID: PMC11103128 DOI: 10.1111/aogs.14820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/19/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
INTRODUCTION Developmental delay at an early age indicates the probability of continued problems after school age. Hypertensive disorders of pregnancy (HDP) are associated with developmental delays in offspring, with inconsistent outcomes. Neonatal outcomes vary according to HDP exposure and are relevant to development in later years. Here we aimed to clarify the relationship between HDP and developmental delay in offspring and whether neonatal outcomes mediate this association. MATERIAL AND METHODS We used data from 5934 mother-child pairs from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a prospective cohort study conducted in Japan between July 2013 and March 2017. The Ages and Stages Questionnaires, third edition, at 24 and 42 months of age, measured developmental delay in five areas. We performed multivariate quasi-Poisson regression and causal mediation analysis by neonatal outcomes. RESULTS At 24 months of age, compared to offspring born from normotensive mothers, offspring born from HDP-affected mothers were more likely to experience developmental delay (risk ratio [RR] 1.29, 95% confidence interval [CI]: 1.09-1.52) in the areas of communication (RR 1.21, 95% CI: 1.00-1.45) and personal-social (RR 1.15, 95% CI: 1.03-1.28). This association was mediated by neonatal outcomes: preterm birth, neonatal asphyxia, NICU admission, and neonatal small head circumference. No association was observed between HDP and developmental delay at 42 months of age. CONCLUSIONS Exposure to HDP during fetal life is associated with offspring developmental delay. This association is partly mediated by neonatal outcomes.
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Affiliation(s)
- Geng Chen
- Tohoku University Graduate School of MedicineSendaiJapan
| | - Mami Ishikuro
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Hisashi Ohseto
- Tohoku University Graduate School of MedicineSendaiJapan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Aoi Noda
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
- Tohoku University HospitalSendaiJapan
| | - Genki Shinoda
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Masatsugu Orui
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Taku Obara
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
- Tohoku University HospitalSendaiJapan
| | - Shinichi Kuriyama
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
- International Research Institute of Disaster Science, Tohoku UniversitySendaiJapan
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3
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Kudo R, Iwama N, Hamada H, Tomita H, Tagami K, Kumagai N, Sato N, Izumi S, Sakurai K, Watanabe Z, Ishikuro M, Obara T, Tatsuta N, Hoshiai T, Metoki H, Saito M, Sugawara J, Kuriyama S, Arima T, Yaegashi N. Maternal birth weight is an indicator of preterm delivery: the Japan environment and children's study. J Dev Orig Health Dis 2024; 15:e11. [PMID: 38773803 DOI: 10.1017/s2040174424000126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
This study aimed to investigate the association between maternal birth weight (MBW) with preterm delivery (PTD) in the Japanese population. To this end, a total of 78,972 Japanese pregnant women were included in a prospective birth cohort study. Multiple logistic regression and multinominal logistic regression models were applied to investigate the associations of MBW with PTD (delivery from 22 to < 37 weeks of gestation), early PTD (delivery from 22 to < 34 weeks), and late PTD (delivery from 34 to < 37 weeks). The results showed that MBW was inversely associated with PTD, early PTD, and late PTD (p-for-trend < 0.0001, 0.0014, and < 0.0001, respectively). The adjusted odds ratios per each 500 g of MBW decrease were 1.167 (95% confidence interval [CI]: 1.118-1.218) for PTD, 1.174 (95% CI: 1.070-1.287) for early PTD and 1.151 (95% CI: 1.098-1.206) for late PTD. The effect size of the association of MBW with early PTD was similar to that with late PTD. This study demonstrated for the first time an association of a low MBW with PTD, early PTD, and late PTD in a Japanese nationwide cohort.
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Affiliation(s)
- Rie Kudo
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hirotaka Hamada
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hasumi Tomita
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kazuma Tagami
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Natsumi Kumagai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Naoto Sato
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiya Izumi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kasumi Sakurai
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nozomi Tatsuta
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Junichi Sugawara
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Takahiro Arima
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
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Ishikuro M, Obara T, Murakami K, Ueno F, Noda A, Onuma T, Kikuya M, Metoki H, Kuriyama S. The association between blood pressure control in women during pregnancy and adverse perinatal outcomes: the TMM BirThree Cohort Study. Hypertens Res 2024; 47:1216-1222. [PMID: 38238512 PMCID: PMC11073994 DOI: 10.1038/s41440-023-01570-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 12/07/2023] [Accepted: 12/16/2023] [Indexed: 05/08/2024]
Abstract
Blood pressure (BP) control in pregnancy is essential to prevent adverse outcomes. However, BP levels for hypertension treatment are inconsistent among various guidelines. This study investigated the association between BP control and adverse perinatal outcomes. A total of 18,155 mother-offspring pairs were classified into four groups according to BP after 20 gestational weeks: normal BP (<140/90 mmHg without antihypertensive drugs), high BP (≥140/90 mmHg without antihypertensive drugs), controlled BP (<140/90 mmHg with antihypertensive drugs), and uncontrolled BP (≥140/90 mmHg with antihypertensive drugs). The prevalence of small for gestational age was 1,087/17,476 offspring in normal BP, 78/604 in high BP, 5/42 in controlled BP, and 7/33 in uncontrolled BP. Compared to normal BP, adjusted odds ratios (ORs) (95% confidence intervals (CIs)) were 1.76 (1.32-2.35) for high BP, 2.08 (0.79-5.50) for controlled BP, and 2.34 (0.94-5.85) for uncontrolled BP (multiple logistic regression analysis). Similarly, the adjusted ORs (95% CIs) were 1.80 (1.35-2.41), 3.42 (1.35-8.63), and 5.10 (1.93-13.45) for high, controlled, and uncontrolled BPs for low birth weight, respectively; 1.99 (1.48-2.68), 2.70 (1.12-6.50), and 6.53 (3.09-13.82) for high, controlled, and uncontrolled BPs for preterm birth, respectively; 1.64 (1.19-2.24), 2.17 (0.88-5.38), and 2.12 (0.80-5.65) for high, controlled, and uncontrolled BPs for admission to the Neonatal Intensive Care Unit or Growing Care Unit, respectively; and 1.17 (0.70-1.95), 2.23 (0.65-7.68), and 0.91 (0.20-4.16) for high, controlled, and uncontrolled BPs for 1-min Apgar score < 7, respectively. BP ≥ 140/90 mmHg might be taken care for preventing various adverse perinatal outcomes.
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Affiliation(s)
- Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1, Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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5
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Yonezawa Y, Takahashi I, Ohseto H, Ueno F, Onuma T, Noda A, Murakami K, Ishikuro M, Obara T, Kuriyama S. Genome-wide association study of nausea and vomiting during pregnancy in Japan: the TMM BirThree Cohort Study. BMC Pregnancy Childbirth 2024; 24:209. [PMID: 38509478 PMCID: PMC10953086 DOI: 10.1186/s12884-024-06376-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 02/27/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Nausea and vomiting during pregnancy (NVP) and hyperemesis gravidarum (HG), common conditions affecting most pregnant women, are highly heritable and associated with maternal and fetal morbidity. However, the pathologies underlying NVP and HG and their associated loci are scarce. METHODS We performed genome-wide association studies (GWAS) of NVP in pregnant women (n = 23,040) who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan from July 2013 to March 2017. Participants were divided into discovery (n = 9,464) and replication (n = 10,051) stages based on the platform used for their genotyping. Loci that achieved the genome-wide significance level (p < 5.0 × 10- 8) in the discovery stage were selected for genotyping in the replication stage. A meta-analysis integrating the discovery and replication stage results (n = 19,515) was conducted. NVP-related variables were identified as categorical or continuous. RESULTS GWAS analysis in the discovery phase revealed loci linked to NVP in two gene regions, 11q22.1 (rs77775955) and 19p13.11 (rs749451 and rs28568614). Loci in these two gene regions have also been shown to be associated with HG in a White European population, indicating the generalizability of the GWAS analyses conducted in this study. Of these, only rs749451 and rs28568614 at 19p13.11 reached the genome-wide suggestive level (p < 1.0 × 10- 5) in the replication stage; however, both loci were significant in the meta-analysis. CONCLUSIONS NVP-related loci were identified in the Japanese population at 11q22.1 and 19p13.11, as reported in previous GWAS. This study contributes new evidence on the generalizability of previous GWAS on the association between genetic background and NVP.
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Affiliation(s)
- Yudai Yonezawa
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Innovation Division, KAGOME CO., LTD, 17 Nishitomiyama, Nasushiobara, Tochigi, 329- 2762, Japan
| | - Ippei Takahashi
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Hisashi Ohseto
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Fumihiko Ueno
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Tomomi Onuma
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Aoi Noda
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba- ku, Sendai, Miyagi, 980-0872, Japan
| | - Keiko Murakami
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba- ku, Sendai, Miyagi, 980-0872, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- International Research Institute of Disaster Science, Tohoku University, 468-1 Aramakiaoba, Aoba-ku, Sendai, Miyagi, 980-8572, Japan.
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Tan J, Zhang Z, Yan LL, Xu X. The developmental origins of health and disease and intergenerational inheritance: a scoping review of multigenerational cohort studies. J Dev Orig Health Dis 2024; 15:e1. [PMID: 38450455 DOI: 10.1017/s2040174424000035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Epidemiologic research has increasingly acknowledged the importance of developmental origins of health and disease (DOHaD) and suggests that prior exposures can be transferred across generations. Multigenerational cohorts are crucial to verify the intergenerational inheritance among human subjects. We carried out this scoping review aims to summarize multigenerational cohort studies' characteristics, issues, and implications and hence provide evidence to the DOHaD and intergenerational inheritance. We adopted a comprehensive search strategy to identify multigenerational cohorts, searching PubMed, EMBASE, and Web of Science databases from the inception of each dataset to June 20th, 2022, to retrieve relevant articles. After screening, 28 unique multigenerational cohort studies were identified. We classified all studies into four types: population-based cohort extended three-generation cohort, birth cohort extended three-generation cohort, three-generation cohort, and integrated birth and three-generation cohort. Most cohorts (n = 15, 53%) were categorized as birth cohort extended three-generation studies. The sample size of included cohorts varied from 41 to 167,729. The study duration ranged from two years to 31 years. Most cohorts had common exposures, including socioeconomic factors, lifestyle, and grandparents' and parents' health and risk behaviors over the life course. These studies usually investigated intergenerational inheritance of diseases as the outcomes, most frequently, obesity, child health, and cardiovascular diseases. We also found that most multigenerational studies aim to disentangle genetic, lifestyle, and environmental contributions to the DOHaD across generations. We call for more research on large multigenerational well-characterized cohorts, up to four or even more generations, and more studies from low- and middle-income countries.
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Affiliation(s)
- Jie Tan
- School of Public Health, Wuhan University, Wuhan, HB, China
- Global Health Research Center, Duke Kunshan University, Kunshan, JS, China
| | - Zifang Zhang
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, ZJ, China
| | - Lijing L Yan
- School of Public Health, Wuhan University, Wuhan, HB, China
- Global Health Research Center, Duke Kunshan University, Kunshan, JS, China
| | - Xiaolin Xu
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, ZJ, China
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7
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Takahashi I, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal social isolation and behavioral problems in preschool children: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Eur Child Adolesc Psychiatry 2024; 33:761-769. [PMID: 36995428 DOI: 10.1007/s00787-023-02199-4] [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: 11/01/2022] [Accepted: 03/20/2023] [Indexed: 03/31/2023]
Abstract
It is essential to clarify factors associated with mental health and behavioral problems in early childhood, because children are critical stages of life for mental health. We aimed to prospectively examine the associations between maternal social isolation and behavioral problems in preschool children. We analyzed data from 5842 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. The Lubben Social Network Scale-abbreviated version was used to assess social isolation (defined as scores < 12) one year after delivery. The Child Behavior Checklist 1½-5 was used to assess behavioral problems, and its subscales were used to assess internalizing and externalizing problems in children at 4 years of age. Multiple logistic regression analyses were conducted to examine the associations between social isolation and behavioral problems, after adjustment for age, education, income, work status, marital status, extraversion, neuroticism, depressive symptoms, child sex, and number of siblings. Multiple logistic regression analyses were also conducted for internalizing problems and externalizing problems. The prevalence of maternal social isolation was 25.4%. Maternal social isolation was associated with an increased risk of behavioral problems in children: the odds ratio (OR) was 1.37 (95% confidence interval [CI] 1.14-1.64). Maternal social isolation was also associated with increased risks of internalizing problems and externalizing problems in children: the ORs were 1.33 (95% CI, 1.12-1.59) and 1.40 (95% CI, 1.18-1.66), respectively. In conclusion, maternal social isolation one year after delivery was associated with behavioral problems in children at 4 years of age.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-Ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
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8
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Takase M, Nakaya N, Tanno K, Kogure M, Hatanaka R, Nakaya K, Chiba I, Kanno I, Nochioka K, Tsuchiya N, Nakamura T, Hirata T, Obara T, Ishikuro M, Kotozaki Y, Uruno A, Kobayashi T, Kodama EN, Hamanaka Y, Orui M, Ogishima S, Nagaie S, Ohmomo H, Fuse N, Sugawara J, Shimizu A, Izumi Y, Kuriyama S, Hozawa A. Relationship between traditional risk factors for hypertension and systolic blood pressure in the Tohoku Medical Megabank Community-based Cohort Study. Hypertens Res 2024:10.1038/s41440-024-01582-1. [PMID: 38424250 DOI: 10.1038/s41440-024-01582-1] [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: 09/11/2023] [Revised: 12/20/2023] [Accepted: 12/24/2023] [Indexed: 03/02/2024]
Abstract
Risk factors for hypertension have been emphasized in the Japanese Society of Hypertension Guidelines for the Management of Hypertension. However, large-scale studies on the association of smoking, potassium excretion, and gamma-glutamyl transferase level with BP in the Japanese population are limited. We conducted a cross-sectional study to examine the association between hypertension risk factors and systolic blood pressure in the Tohoku Medical Megabank Community-based Cohort Study (23,446 men and 38,921 women aged ≥20 years). A model adjusted for age, body mass index, smoking status, drinking status, estimated daily salt intake, potassium excretion, (or urinary sodium-to-potassium ratio), gamma-glutamyl transferase, physical activity, education level, status of damage to homes during the Great East Japan Earthquake, and residential areas was used. The average age and systolic blood pressure were 62.5 (10.3) years for men and 59.6 (11.3) years for women, 128.9 (16.7) mmHg for men and 124.7 (17.5) mmHg for women, respectively. Body mass index estimated daily salt intake, urinary sodium-to-potassium ratio and gamma-glutamyl transferase levels were positively associated with systolic blood pressure. Compared with never-drinkers, current drinkers who consumed 23-45 g/day and ≥46.0 g/day had significantly increased systolic blood pressure. Conversely, current smokers (1-10 cigarettes/day and 11-20 cigarettes/day) were inversely associated with systolic blood pressure compared to never-smokers. Overall, systolic blood pressure was associated with gamma-glutamyl transferase and hypertension risk factors, including body mass index, alcohol consumption, estimated daily salt intake, urinary sodium-to-potassium ratio, and potassium excretion. Our findings support the notion that lifestyle modifications should be attempted to prevent hypertension.
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Affiliation(s)
- Masato Takase
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Naoki Nakaya
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Kozo Tanno
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
- School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Mana Kogure
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Rieko Hatanaka
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Kumi Nakaya
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Ippei Chiba
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Ikumi Kanno
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Kotaro Nochioka
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Naho Tsuchiya
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Kyoto Women's University, Kyoto, Japan
| | - Takumi Hirata
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Institute for Clinical and Translational Science, Nara Medical University, Shijo-cho, Kashihara, Nara, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Yuka Kotozaki
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Tomoko Kobayashi
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Masatsugu Orui
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Soichi Ogishima
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Satoshi Nagaie
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Hideki Ohmomo
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
- School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Nobuo Fuse
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Suzuki Memorial Hospital, Satonomori, Iwanumashi, Miyagi, Japan
| | - Atsushi Shimizu
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
- School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Yoko Izumi
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Atsushi Hozawa
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
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9
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Hozawa A, Nakaya K, Nakaya N, Nakamura T, Kogure M, Hatanaka R, Chiba I, Kanno I, Sugawara J, Kodama E, Hamanaka Y, Kobayashi T, Uruno A, Tsuchiya N, Hirata T, Narita A, Tsuboi A, Tamahara T, Otsuki A, Goto M, Taira M, Shimizu R, Suzuki K, Obara T, Kikuya M, Metoki H, Ishikuro M, Danjoh I, Ogishima S, Nagaie S, Minegishi N, Hiratsuka M, Kumada K, Nishijima I, Nobukuni T, Yamaguchi-Kabata Y, Nagami F, Kure S, Fuse N, Kinoshita K, Izumi Y, Kuriyama S, Yamamoto M. Progress report of the Tohoku Medical Megabank Community-Based Cohort Study: Study profile of the repeated center-based survey during second period in Miyagi Prefecture. J Epidemiol 2024:JE20230241. [PMID: 38403692 DOI: 10.2188/jea.je20230241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND The purpose of this study was to report the basic profile of the Miyagi Prefecture part of a repeated center-based survey during the second period (2nd period survey) of the Tohoku Medical Megabank Community-Based Cohort Study (TMM CommCohort Study), as well as the participants' characteristics based on their participation type in the baseline survey. METHODS The 2nd period survey, conducted from June 2017 to March 2021, included participants of the TMM CommCohort Study (May 2013 to March 2016). In addition to the questionnaire, blood, urine, and physiological function tests were performed during the 2nd period survey. There were three main ways of participation in the baseline survey: Type 1, Type 1 additional, or Type 2 survey. The 2nd period survey was conducted in the same manner as the Type 2 survey, which was based on the community support center (CSC). RESULTS In Miyagi Prefecture, 29,383 (57.7%) of 50,967 participants participated in the 2nd period survey. The participation rate among individuals who had visited the CSC was approximately 80%. Although some factors differed depending on the participation type in the baseline survey, the 2nd period survey respondents in the Type 1 and Type 2 survey groups at baseline had similar traits. CONCLUSIONS The 2nd period survey of the TMM CommCohort Study provided detailed follow-up information. Following up on the health conditions of the participants will clarify the long-term effects of disasters and contribute to personalized prevention.
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Affiliation(s)
- Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Kumi Nakaya
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Faculty of Data Science, Kyoto Women's University
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Rieko Hatanaka
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Ippei Chiba
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Ikumi Kanno
- Graduate School of Medicine, Tohoku University
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Suzuki Memorial Hospital
| | - Eiichi Kodama
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University
- Yamato Home Medical Care Clinic Kurihara
| | - Takumi Hirata
- Tohoku Medical Megabank Organization, Tohoku University
- Institute for Clinical and Translational Science, Nara Medical University Hospital
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Akito Tsuboi
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Toru Tamahara
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Akihito Otsuki
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Maki Goto
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Kichiya Suzuki
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Department of Hygiene and Public Health, Teikyo University School of Medicine
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Inaho Danjoh
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Satoshi Nagaie
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Masahiro Hiratsuka
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Ichiko Nishijima
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Takahiro Nobukuni
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Yumi Yamaguchi-Kabata
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University
- Miyagi Children's Hospital
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Graduate School of Information Sciences, Tohoku University
- Institute of Development., aging, and cancer, Tohoku University
| | - Yoko Izumi
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- International Research Institute of Disaster Science, Tohoku University
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
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10
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Miki A, Fuse N, Fujimoto S, Taira M, Saito T, Okazaki T, Shiraki A, Sato S, Kawasaki R, Nakamura T, Kinoshita K, Nishida K, Yamamoto M. Prevalence, Associated Factors, and Inter-Eye Differences of Refractive Errors in a Population-Based Japanese Cohort: The Tohoku Medical Megabank Eye Study. Ophthalmic Epidemiol 2024; 31:46-54. [PMID: 37095711 DOI: 10.1080/09286586.2023.2203226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 04/09/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE To investigate the prevalence, associated factors, and inter-eye differences of myopia and astigmatism in an adult Japanese population-based cohort. METHODS A total of 4282 participants from the Tohoku Medical Megabank Organization Eye Study (ToMMo Eye Study) underwent comprehensive ocular examinations as well as extensive physiological tests and a lifestyle questionnaire. The spherical equivalent (SE) and cylinder power were obtained as refractive parameters. The age- and gender-stratified prevalences of high myopia (SE < -5D), myopia (SE < -0.5D), hyperopia (SE > 0.5D), astigmatism (cylinder power < -0.5D), and anisometropia (SE difference >1D) were calculated. Multivariable analyses were performed to identify associated factors for refractive error (RE). Distribution and associated factors of the inter-eye difference in RE were also investigated. RESULTS The age-adjusted prevalence of high myopia, myopia, hyperopia, astigmatism, and anisometropia was 15.9%, 63.5%, 14.7%, 51.1%, and 14.7%, respectively. Both myopia and high myopia were more prevalent in the younger age group, while astigmatism was more prevalent in the older age group. Age, education, blood pressure, intraocular pressure, and corneal thickness are significantly associated with myopic refraction. Age, gender, intraocular pressure, and corneal thickness are correlated with astigmatism. Older age was associated with against-the-rule astigmatism. Older age, myopia, and longer education showed a significant correlation with large inter-eye differences in SERE. CONCLUSIONS This study demonstrated the high prevalence of myopia in young Japanese, which may be caused by a generational shift. This study also confirmed the influence of age and education on both the prevalence and inter-eye differences of RE.
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Affiliation(s)
- Atsuya Miki
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Myopia Control Resaerch, Aichi Medical University, Aichi, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Satoko Fujimoto
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
- Hawaii Macula and Retina Institute, Aiea, HI, USA
| | - Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tomo Saito
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomoyuki Okazaki
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Akihiko Shiraki
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Shigeru Sato
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
- Laboratory of Regenerative Medicine and Development, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Applied Information Science, Tohoku University Graduate School of Information Sciences, Sendai, Japan
| | - Ryo Kawasaki
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Vision Informatics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Applied Information Science, Tohoku University Graduate School of Information Sciences, Sendai, Japan
| | - Kohji Nishida
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Graduate School of Medicine, Sendai, Japan
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11
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Tadaka S, Kawashima J, Hishinuma E, Saito S, Okamura Y, Otsuki A, Kojima K, Komaki S, Aoki Y, Kanno T, Saigusa D, Inoue J, Shirota M, Takayama J, Katsuoka F, Shimizu A, Tamiya G, Shimizu R, Hiratsuka M, Motoike I, Koshiba S, Sasaki M, Yamamoto M, Kinoshita K. jMorp: Japanese Multi-Omics Reference Panel update report 2023. Nucleic Acids Res 2024; 52:D622-D632. [PMID: 37930845 PMCID: PMC10767895 DOI: 10.1093/nar/gkad978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/06/2023] [Accepted: 10/17/2023] [Indexed: 11/08/2023] Open
Abstract
Modern medicine is increasingly focused on personalized medicine, and multi-omics data is crucial in understanding biological phenomena and disease mechanisms. Each ethnic group has its unique genetic background with specific genomic variations influencing disease risk and drug response. Therefore, multi-omics data from specific ethnic populations are essential for the effective implementation of personalized medicine. Various prospective cohort studies, such as the UK Biobank, All of Us and Lifelines, have been conducted worldwide. The Tohoku Medical Megabank project was initiated after the Great East Japan Earthquake in 2011. It collects biological specimens and conducts genome and omics analyses to build a basis for personalized medicine. Summary statistical data from these analyses are available in the jMorp web database (https://jmorp.megabank.tohoku.ac.jp), which provides a multidimensional approach to the diversity of the Japanese population. jMorp was launched in 2015 as a public database for plasma metabolome and proteome analyses and has been continuously updated. The current update will significantly expand the scale of the data (metabolome, genome, transcriptome, and metagenome). In addition, the user interface and backend server implementations were rewritten to improve the connectivity between the items stored in jMorp. This paper provides an overview of the new version of the jMorp.
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Affiliation(s)
- Shu Tadaka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Junko Kawashima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Eiji Hishinuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Sakae Saito
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Yasunobu Okamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Akihito Otsuki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan
| | - Kaname Kojima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Shohei Komaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Shiwa-gun, Iwate 028-3609, Japan
| | - Yuichi Aoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi 980-8579, Japan
| | - Takanari Kanno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Daisuke Saigusa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Faculty of Pharma-Science, Teikyo University, Tokyo 173-8605, Japan
| | - Jin Inoue
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Matsuyuki Shirota
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan
| | - Jun Takayama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan
- RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
| | - Fumiki Katsuoka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Atsushi Shimizu
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Shiwa-gun, Iwate 028-3609, Japan
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan
- RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan
| | - Masahiro Hiratsuka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi 980-8579, Japan
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Shiwa-gun, Iwate 028-3609, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi 980-8579, Japan
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12
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Obara T. Directions for perinatal pharmacoepidemiology studies in Japan. Congenit Anom (Kyoto) 2024; 64:4-5. [PMID: 38163674 DOI: 10.1111/cga.12549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Affiliation(s)
- Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
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13
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Saito Y, Sato K, Jinno S, Nakamura Y, Nobukuni T, Ogishima S, Mizuno S, Koshiba S, Kuriyama S, Ohneda K, Morifuji M. Effect of Nicotinamide Mononucleotide Concentration in Human Milk on Neurodevelopmental Outcome: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Nutrients 2023; 16:145. [PMID: 38201974 PMCID: PMC10780616 DOI: 10.3390/nu16010145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/25/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
(1) Background: Breast milk is the only source of nutrition for breastfed infants, but few studies have examined the relationship between breast milk micronutrients and infant neurodevelopmental outcome in exclusively breastfed infants. The aim of this study was to characterize the association between nicotinamide adenine dinucleotide (NAD)-related compounds in the breast milk of Japanese subjects and infant neurodevelopmental outcome. (2) Methods: A total of 150 mother-child pairs were randomly selected from the three-generation cohort of the Tohoku Medical Megabank in Japan. Infants were exclusively breastfed for up to 6 months. Breast milk was collected at 1 month postpartum, and the quantity of NAD-related substances in the breast milk was quantified. The mothers also completed developmental questionnaires at 6, 12, and 24 months. The relationship between the concentration of NAD-related substances in breast milk and developmental indicators was evaluated via ordinal logistic regression analysis. (3) Results: Nicotinamide mononucleotide (NMN) was quantified as the major NAD precursor in breast milk. The median amount of NMN in the breast milk was 9.2 μM. The NMN concentration in breast milk was the only NAD-related substance in breast milk that showed a significant positive correlation with neurodevelopmental outcome in infants at 24 months. (4) Conclusions: The results suggest that NMN in human milk may be an important nutrient for early childhood development.
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Affiliation(s)
- Yoshie Saito
- Wellness Science Labs, Meiji Holdings Co., Ltd., Hachioji 192-0919, Japan;
| | - Keigo Sato
- Food Microbiology and Function Research Laboratory, Meiji Co., Ltd., Hachioji 192-0919, Japan; (K.S.); (S.J.); (Y.N.)
| | - Shinji Jinno
- Food Microbiology and Function Research Laboratory, Meiji Co., Ltd., Hachioji 192-0919, Japan; (K.S.); (S.J.); (Y.N.)
| | - Yoshitaka Nakamura
- Food Microbiology and Function Research Laboratory, Meiji Co., Ltd., Hachioji 192-0919, Japan; (K.S.); (S.J.); (Y.N.)
| | - Takahiro Nobukuni
- Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan; (T.N.); (S.O.); (S.M.); (S.K.); (S.K.); (K.O.)
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan; (T.N.); (S.O.); (S.M.); (S.K.); (S.K.); (K.O.)
- Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai 980-8573, Japan
| | - Satoshi Mizuno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan; (T.N.); (S.O.); (S.M.); (S.K.); (S.K.); (K.O.)
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan; (T.N.); (S.O.); (S.M.); (S.K.); (S.K.); (K.O.)
- Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai 980-8573, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan; (T.N.); (S.O.); (S.M.); (S.K.); (S.K.); (K.O.)
- Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai 980-0845, Japan
| | - Kinuko Ohneda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan; (T.N.); (S.O.); (S.M.); (S.K.); (S.K.); (K.O.)
- Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan
| | - Masashi Morifuji
- Wellness Science Labs, Meiji Holdings Co., Ltd., Hachioji 192-0919, Japan;
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14
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Fukunaga H, Ikeda A. Mitochondrial DNA copy number variation across three generations: a possible biomarker for assessing perinatal outcomes. Hum Genomics 2023; 17:113. [PMID: 38098033 PMCID: PMC10722810 DOI: 10.1186/s40246-023-00567-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Mitochondria have their own circular multi-copy genome (mtDNA), and abnormalities in the copy number are implicated in mitochondrial dysfunction, which contributes to a variety of aging-related pathologies. However, not much is known about the genetic correlation of mtDNA copy number across multiple generations and its physiological significance. METHODS We measured the mtDNA copy number in cord blood or peripheral blood from 149 three-generation families, specifically the newborns, parents, and grandparents, of 149 families, totaling 1041 individuals. All of the biological specimens and information were provided by the Tohoku Medical Megabank Project in Japan. We also analyzed their maternal factors during pregnancy and neonatal outcomes. RESULTS While the maternal peripheral blood mtDNA copy number was lower than that of other adult family members, it was negatively correlated with cord blood mtDNA copy number in male infants. Also, cord blood mtDNA copy numbers were negatively correlated with perinatal outcomes, such as gestation age, birth weight, and umbilical cord length, for both male and female neonates. Furthermore, the mtDNA copy number in the infants born to mothers who took folic acid supplements during pregnancy would be lower than in the infants born to mothers who did not take them. CONCLUSIONS This data-driven study offers the most comprehensive view to date on the genetic and physiological significance of mtDNA copy number in cord blood or peripheral blood taken from three generations, totaling more than 1000 individuals. Our findings indicate that mtDNA copy number would be one of the transgenerational biomarkers for assessing perinatal outcomes, as well as that appropriate medical interventions could improve the outcomes via quantitative changes in mtDNA.
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Affiliation(s)
- Hisanori Fukunaga
- Center for Environmental and Health Sciences, Hokkaido University, N12 W7 Kita-ku, Sapporo, 060-0812, Japan.
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.
| | - Atsuko Ikeda
- Center for Environmental and Health Sciences, Hokkaido University, N12 W7 Kita-ku, Sapporo, 060-0812, Japan
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
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15
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Aizawa M, Murakami K, Takahashi I, Ohseto H, Noda A, Shinoda G, Orui M, Ishikuro M, Obara T, Hamada H, Iwama N, Saito M, Sugawara J, Kuriyama S. Association between frequency of breakfast intake before and during pregnancy and developmental delays in children: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Nutr J 2023; 22:66. [PMID: 38053088 DOI: 10.1186/s12937-023-00901-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/28/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Although an association between maternal nutritional intake and developmental delays in children has been demonstrated, the association of the timing of meal intake and development delays remains unclear. We examined the association between breakfast intake frequency before and during pregnancy and developmental delay in children. METHODS Of the pregnant women who participated in the Tohoku Medical Megabank Project Three-Generation Cohort Study, 7491 answered the required questions and were analyzed. The frequency of breakfast intake from pre- to early pregnancy and from early to mid-pregnancy was classified into four groups: daily, and 5-6, 3-4, and 0-2 times/week. Child developmental delays at age 2 and 3.5 years were assessed using the Ages & Stages Questionnaire, Third Edition. Logistic regression models were constructed to examine the association between breakfast intake frequency in pregnant women and developmental delays in children aged 2 and 3.5 years. RESULTS The proportion of pregnant women who had breakfast daily was 78.1% in pre- to early pregnancy, and 82.2% in early to mid-pregnancy. The proportion of children with developmental delays was 14.7% and 13.4% at age 2 and 3.5 years, respectively. Compared with the risk in children of women who had breakfast daily from pre- to early pregnancy, children of women who had breakfast 0-2 times/week had a higher risk of developmental delays at 2 years of age: odds ratio (OR) 1.30, (95% confidence interval [CI], 1.02-1.66). The risk of developmental delays at age 2 years increased in the children of women who had breakfast 0-2 times/week in early to mid- pregnancy: OR 1.75 (95% CI, 1.32-2.32). The risk of developmental delays at age 3.5 years did not increase in the children of women who had breakfast 0-2 times/week from pre- to early and early to mid-pregnancy: OR 1.06 (95% CI, 0.81-1.39 and OR 1.15 (95% CI 0.84-1.57), respectively. CONCLUSION For women with a low frequency of breakfast intake from pre- to mid-pregnancy there was an association with developmental delays in their children at age 2, but not at 3.5 years.
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Affiliation(s)
- Misato Aizawa
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan.
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Hisashi Ohseto
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Genki Shinoda
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Masatsugu Orui
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
- Suzuki Memorial Hospital, 3-5-5 Satonomori, Iwanuma, Miyagi, 989-2481, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, 980-8572, Japan
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16
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Tomita H, Iwama N, Hamada H, Kudo R, Tagami K, Kumagai N, Sato N, Izumi S, Sakurai K, Watanabe Z, Ishikuro M, Obara T, Tatsuta N, Hoshiai T, Metoki H, Saito M, Sugawara J, Kuriyama S, Arima T, Yaegashi N. The impact of maternal and paternal birth weights on infant birth weights: the Japan environment and children's study. J Dev Orig Health Dis 2023; 14:699-710. [PMID: 38247363 DOI: 10.1017/s2040174423000387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
This study aimed to evaluate the association between parental and infant birth weights in Japan. In total, 37,504 pregnant Japanese women and their partners were included in this birth cohort study. A multinomial logistic regression model was used to evaluate the associations of parental birth weights with small-for-gestational-age (SGA) or large-for-gestational-age (LGA) infants. Associations between parental birth weight and low birth weight (LBW) infants or macrosomia were also examined, and linear associations between parental birth weight and SGA or LGA were found. The adjusted odds ratios (aORs) for SGA infants per 500 g decrease in maternal and paternal birth weights were 1.50 (95% confidence interval [CI],1.43-1.58) and 1.31 (95% CI, 1.25-1.38), respectively. The aORs for LGA infants per 500 g increase in maternal and paternal birth weights were 1.53 (95% CI, 1.47-1.60) and 1.41 (95% CI, 1.35-1.47), respectively. The association between parental birth weight and LBW infants or macrosomia was also linear. The aORs for LBW infants per 500 g decrease in maternal and paternal birth weights were 1.47 (95% CI, 1.40-1.55) and 1.25 (95% CI, 1.19-1.31), respectively. The aORs for macrosomia per 500 g increase in maternal and paternal birth weights were 1.59 (95% CI, 1.41-1.79) and 1.40 (95% CI, 1.23-1.60), respectively. Parental birth weight was found to be associated with infant birth weight even after adjusting for various parental factors. Furthermore, maternal birth weight was more strongly associated with infant birth weight than with paternal birth weight.
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Affiliation(s)
- Hasumi Tomita
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
| | - Hirotaka Hamada
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Rie Kudo
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Kazuma Tagami
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Natsumi Kumagai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Naoto Sato
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Seiya Izumi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Kasumi Sakurai
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Nozomi Tatsuta
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, Sendai, MI, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Junichi Sugawara
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Suzuki Memorial Hospital, Iwanuma, MI, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, MI, Japan
| | - Takahiro Arima
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
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17
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Murakami K, Noda A, Ishikuro M, Obara T, Ueno F, Onuma T, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal social isolation in the perinatal period and early childhood development: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1593-1601. [PMID: 37269311 DOI: 10.1007/s00127-023-02498-w] [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: 11/25/2022] [Accepted: 05/24/2023] [Indexed: 06/05/2023]
Abstract
PURPOSE Studies examining the associations between maternal social relationships and early childhood development have mainly focused on social relationships after childbirth. We aimed to prospectively examine the associations between the transition of maternal social isolation from the prenatal to postnatal period and early childhood development. METHODS We analyzed data for 6692 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Social isolation in the prenatal and postnatal periods was assessed by the Lubben Social Network Scale-abbreviated version and categorized into four groups: none, prenatal only, postnatal only, and both. The Ages and Stages Questionnaire, Third Edition, which consists of five developmental areas, was used to assess developmental delays in children at 2 and 3.5 years of age. Multiple logistic regression analyses were conducted to examine the associations between maternal social isolation and developmental delays. RESULTS The prevalence of social isolation in both the prenatal and postnatal periods was 13.1%. Social isolation in both the prenatal and postnatal periods was associated with developmental delays in children at 2 and 3.5 years of age: the multivariate-adjusted odds ratios (95% confidence intervals) were 1.68 (1.39-2.04) and 1.43 (1.17-1.76), respectively. Social isolation in the prenatal period only and social isolation in the postnatal period only were not associated with developmental delays in children at 2 and 3.5 years of age. CONCLUSION Maternal social isolation in both the prenatal and postnatal periods was associated with an increased risk of developmental delays in early childhood.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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18
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Takase M, Nakaya N, Nakamura T, Kogure M, Hatanaka R, Nakaya K, Chiba I, Kanno I, Nochioka K, Tsuchiya N, Hirata T, Hamanaka Y, Sugawara J, Kobayashi T, Fuse N, Uruno A, Kodama EN, Kuriyama S, Tsuji I, Hozawa A. Carotid Intima Media Thickness and Risk Factor for Atherosclerosis: Tohoku Medical Megabank Community-Based Cohort Study. J Atheroscler Thromb 2023; 30:1471-1482. [PMID: 36775331 PMCID: PMC10564640 DOI: 10.5551/jat.64039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/09/2023] [Indexed: 02/13/2023] Open
Abstract
AIM We examined the association between the carotid intima medica thickness (cIMT) and risk factors for atherosclerosis based on the Japan Atherosclerosis Society 2022 Atherosclerosis Prevention Guideline. METHODS Using data from the Tohoku Medical Megabank Community-based Cohort Study, we performed a cross-sectional study that enrolled 13,366 participants (age ≥ 20 years) with an analysis of covariance to assess associations between cIMT and risk factors for atherosclerosis. The maximum common carotid artery was measured using high-resolution B-mode ultrasound. Analysis was conducted in the model adjusted for age, sex, smoking status, drinking status, body mass index (BMI), systolic blood pressure (SBP), glycated hemoglobin (HbA1c), high-density lipoprotein-cholesterol (HDL-C), non-high-density lipoprotein-cholesterol (non-HDL-C), and height. RESULTS In this study cohort, the average age and cIMT were 57.3 (13.8) years and 0.61 (0.13) mm, respectively, which included 3,988 males (29.8%). Males had a higher cIMT than did the females. Age, height, BMI, SBP, HbA1c, and non-HDL-C were positively associated with cIMT. HDL-C was inversely associated with cIMT. Compared with never drinkers, current drinkers (≥ 46.0 g/day) had a significantly decreased cIMT. CONCLUSIONS The cIMT was associated with atherosclerosis risk factors including age, sex, BMI, SBP, HbA1c, non-HDL-C, and HDL-C, and adequate control of risks in high-risk individuals might be required to prevent atherosclerotic cardiovascular diseases.
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Affiliation(s)
- Masato Takase
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mana Kogure
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Rieko Hatanaka
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kumi Nakaya
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ippei Chiba
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikumi Kanno
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kotaro Nochioka
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naho Tsuchiya
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University, Nara, Japan
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Tomoko Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Ichiro Tsuji
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
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19
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Takahashi I, Obara T, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Shinoda G, Nishimura T, Tsuchiya KJ, Kuriyama S. Screen Time at Age 1 Year and Communication and Problem-Solving Developmental Delay at 2 and 4 Years. JAMA Pediatr 2023; 177:1039-1046. [PMID: 37603356 PMCID: PMC10442786 DOI: 10.1001/jamapediatrics.2023.3057] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/22/2023] [Indexed: 08/22/2023]
Abstract
Importance Whether some domains of child development are specifically associated with screen time and whether the association continues with age remain unknown. Objective To examine the association between screen time exposure among children aged 1 year and 5 domains of developmental delay (communication, gross motor, fine motor, problem-solving, and personal and social skills) at age 2 and 4 years. Design, Participants, and Setting This cohort study was conducted under the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Pregnant women at 50 obstetric clinics and hospitals in the Miyagi and Iwate prefectures in Japan were recruited into the study between July 2013 and March 2017. The information was collected prospectively, and 7097 mother-child pairs were included in the analysis. Data analysis was performed on March 20, 2023. Exposure Four categories of screen time exposure were identified for children aged 1 year (<1, 1 to <2, 2 to <4, or ≥4 h/d). Main Outcomes and Measures Developmental delays in the 5 domains for children aged 2 and 4 years were assessed using the Japanese version of the Ages & Stages Questionnaires, Third Edition. Each domain ranged from 0 to 60 points. Developmental delay was defined if the total score for each domain was less than 2 SDs from its mean score. Results Of the 7097 children in this study, 3674 were boys (51.8%) and 3423 were girls (48.2%). With regard to screen time exposure per day, 3440 children (48.5%) had less than 1 hour, 2095 (29.5%) had 1 to less than 2 hours, 1272 (17.9%) had 2 to less than 4 hours, and 290 (4.1%) had 4 or more hours. Children's screen time was associated with a higher risk of developmental delay at age 2 years in the communication (odds ratio [OR], 1.61 [95% CI, 1.23-2.10] for 1 to <2 h/d; 2.04 [1.52-2.74] for 2 to <4 h/d; 4.78 [3.24-7.06] for ≥4 vs <1 h/d), fine motor (1.74 [1.09-2.79] for ≥4 vs <1 h/d), problem-solving (1.40 [1.02-1.92] for 2 to <4 h/d; 2.67 [1.72-4.14] for ≥4 vs <1 h/d), and personal and social skills (2.10 [1.39-3.18] for ≥4 vs <1 h/d) domains. Regarding risk of developmental delay at age 4 years, associations were identified in the communication (OR, 1.64 [95% CI, 1.20-2.25] for 2 to <4 h/d; 2.68 [1.68-4.27] for ≥4 vs <1 h/d) and problem-solving (1.91 [1.17-3.14] for ≥4 vs <1 h/d) domains. Conclusions and Relevance In this study, greater screen time for children aged 1 year was associated with developmental delays in communication and problem-solving at ages 2 and 4 years. These findings suggest that domains of developmental delay should be considered separately in future discussions on screen time and child development.
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Affiliation(s)
- Ippei Takahashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Tomomi Onuma
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Genki Shinoda
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomoko Nishimura
- United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kenji J. Tsuchiya
- United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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20
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Nishioka M, Takayama J, Sakai N, Kazuno AA, Ishiwata M, Ueda J, Hayama T, Fujii K, Someya T, Kuriyama S, Tamiya G, Takata A, Kato T. Deep exome sequencing identifies enrichment of deleterious mosaic variants in neurodevelopmental disorder genes and mitochondrial tRNA regions in bipolar disorder. Mol Psychiatry 2023; 28:4294-4306. [PMID: 37248276 PMCID: PMC10827672 DOI: 10.1038/s41380-023-02096-x] [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: 08/22/2022] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023]
Abstract
Bipolar disorder (BD) is a global medical issue, afflicting around 1% of the population with manic and depressive episodes. Despite various genetic studies, the genetic architecture and pathogenesis of BD have not been fully resolved. Besides germline variants, postzygotic mosaic variants are proposed as new candidate mechanisms contributing to BD. Here, we performed extensive deep exome sequencing (DES, ~300×) and validation experiments to investigate the roles of mosaic variants in BD with 235 BD cases (194 probands of trios and 41 single cases) and 39 controls. We found an enrichment of developmental disorder (DD) genes in the genes hit by deleterious mosaic variants in BD (P = 0.000552), including a ClinVar-registered pathogenic variant in ARID2. An enrichment of deleterious mosaic variants was also observed for autism spectrum disorder (ASD) genes (P = 0.000428). The proteins coded by the DD/ASD genes with non-synonymous mosaic variants in BD form more protein-protein interaction than expected, suggesting molecular mechanisms shared with DD/ASD but restricted to a subset of cells in BD. We also found significant enrichment of mitochondrial heteroplasmic variants, another class of mosaic variants, in mitochondrial tRNA genes in BD (P = 0.0102). Among them, recurrent m.3243 A > G variants known as causal for mitochondrial diseases were found in two unrelated BD probands with allele fractions of 5-12%, lower than in mitochondrial diseases. Despite the limitation of using peripheral tissues, our DES investigation supports the possible contribution of deleterious mosaic variants in the nuclear genome responsible for severer phenotypes, such as DD/ASD, to the risk of BD and further demonstrates that the same paradigm can be applied to the mitochondrial genome. These results, as well as the enrichment of heteroplasmic mitochondrial tRNA variants in BD, add a new piece to the understanding of the genetic architecture of BD and provide general insights into the pathological roles of mosaic variants in human diseases.
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Affiliation(s)
- Masaki Nishioka
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Department of Molecular Pathology of Mood Disorders, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
| | - Jun Takayama
- Department of AI and Innovative Medicine, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Naomi Sakai
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - An-A Kazuno
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Mizuho Ishiwata
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Junko Ueda
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Takashi Hayama
- Yokohama Mental Clinic Totsuka, 494-8 Kamikurata-cho, Totsuka-ku, Yokohama, 244-0816, Japan
| | - Kumiko Fujii
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan
| | - Toshiyuki Someya
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, 757 Asahimachidori-ichibancho, Chuo-ku, Niigata, 951-8510, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Molecular Epidemiology, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Gen Tamiya
- Department of AI and Innovative Medicine, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Atsushi Takata
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
- Research Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
| | - Tadafumi Kato
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Department of Molecular Pathology of Mood Disorders, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
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Matsudaira I, Yamaguchi R, Taki Y. Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development. Front Psychiatry 2023; 14:1150973. [PMID: 37840799 PMCID: PMC10568142 DOI: 10.3389/fpsyt.2023.1150973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Intergenerational transmission is a crucial aspect of human development. Although prior studies have demonstrated the continuity of psychopathology and maladaptive upbringing environments between parents and offspring, the underlying neurobiological mechanisms remain unclear. We have begun a novel neuroimaging research project, the Transmit Radiant Individuality to Offspring (TRIO) study, which focuses on biological parent-offspring trios. The participants of the TRIO study were Japanese parent-offspring trios consisting of offspring aged 10-40 and their biological mother and father. Structural and functional brain images of all participants were acquired using magnetic resonance imaging (MRI). Saliva samples were collected for DNA analysis. We obtained psychosocial information, such as intelligence, mental health problems, personality traits, and experiences during the developmental period from each parent and offspring in the same manner as much as possible. By April 2023, we completed data acquisition from 174 trios consisting of fathers, mothers, and offspring. The target sample size was 310 trios. However, we plan to conduct genetic and epigenetic analyses, and the sample size is expected to be expanded further while developing this project into a multi-site collaborative study in the future. The TRIO study can challenge the elucidation of the mechanism of intergenerational transmission effects on human development by collecting diverse information from parents and offspring at the molecular, neural, and behavioral levels. Our study provides interdisciplinary insights into how individuals' lives are involved in the construction of the lives of their descendants in the subsequent generation.
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Affiliation(s)
- Izumi Matsudaira
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | - Ryo Yamaguchi
- Japan Society for the Promotion of Science, Tokyo, Japan
- Department of Medical Sciences, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
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22
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Mizuno S, Nagaie S, Tamiya G, Kuriyama S, Obara T, Ishikuro M, Tanaka H, Kinoshita K, Sugawara J, Yamamoto M, Yaegashi N, Ogishima S. Establishment of the early prediction models of low-birth-weight reveals influential genetic and environmental factors: a prospective cohort study. BMC Pregnancy Childbirth 2023; 23:628. [PMID: 37653383 PMCID: PMC10472725 DOI: 10.1186/s12884-023-05919-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 08/12/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Low birth weight (LBW) is a leading cause of neonatal morbidity and mortality, and increases various disease risks across life stages. Prediction models of LBW have been developed before, but have limitations including small sample sizes, absence of genetic factors and no stratification of neonate into preterm and term birth groups. In this study, we challenged the development of early prediction models of LBW based on environmental and genetic factors in preterm and term birth groups, and clarified influential variables for LBW prediction. METHODS We selected 22,711 neonates, their 21,581 mothers and 8,593 fathers from the Tohoku Medical Megabank Project Birth and Three-Generation cohort study. To establish early prediction models of LBW for preterm birth and term birth groups, we trained AI-based models using genetic and environmental factors of lifestyles. We then clarified influential environmental and genetic factors for predicting LBW in the term and preterm groups. RESULTS We identified 2,327 (10.22%) LBW neonates consisting of 1,077 preterm births and 1,248 term births. Our early prediction models archived the area under curve 0.96 and 0.95 for term LBW and preterm LBW models, respectively. We revealed that environmental factors regarding eating habits and genetic features related to fetal growth were influential for predicting LBW in the term LBW model. On the other hand, we identified that genomic features related to toll-like receptor regulations and infection reactions are influential genetic factors for prediction in the preterm LBW model. CONCLUSIONS We developed precise early prediction models of LBW based on lifestyle factors in the term birth group and genetic factors in the preterm birth group. Because of its accuracy and generalisability, our prediction model could contribute to risk assessment of LBW in the early stage of pregnancy and control LBW risk in the term birth group. Our prediction model could also contribute to precise prediction of LBW based on genetic factors in the preterm birth group. We then identified parental genetic and maternal environmental factors during pregnancy influencing LBW prediction, which are major targets for understanding the LBW to address serious burdens on newborns' health throughout life.
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Affiliation(s)
- Satoshi Mizuno
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Satoshi Nagaie
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Gen Tamiya
- Department of Statistical Genetics and Genomics, Group of Disease Risk Prediction, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Shinichi Kuriyama
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Taku Obara
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Mami Ishikuro
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Hiroshi Tanaka
- Medical Data Science Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kengo Kinoshita
- Department of Statistical Genetics and Genomics, Group of Systems Bioinformatics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Junichi Sugawara
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Tohoku University, Miyagi, Japan
- Department of Feto-Maternal Medical Science, Group of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
- Suzuki Memorial Hospital 3-5-5, Satonomori, Iwanumashi, Miyagi, 989-2481, Japan
| | - Masayuki Yamamoto
- Department of Medical Biochemistry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Nobuo Yaegashi
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Tohoku University, Miyagi, Japan
| | - Soichi Ogishima
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
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23
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Taira M, Mugikura S, Mori N, Hozawa A, Saito T, Nakamura T, Kiyomoto H, Kobayashi T, Ogishima S, Nagami F, Uruno A, Shimizu R, Kobayashi T, Yasuda J, Kure S, Sakurai M, Motoike IN, Kumada K, Nakaya N, Obara T, Oba K, Sekiguchi A, Thyreau B, Mutoh T, Takano Y, Abe M, Maikusa N, Tatewaki Y, Taki Y, Yaegashi N, Tomita H, Kinoshita K, Kuriyama S, Fuse N, Yamamoto M. Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background. JMA J 2023; 6:246-264. [PMID: 37560377 PMCID: PMC10407421 DOI: 10.31662/jmaj.2022-0220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/24/2023] [Indexed: 08/11/2023] Open
Abstract
The Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study (TMM Brain MRI Study) was established to collect multimodal information through neuroimaging and neuropsychological assessments to evaluate the cognitive function and mental health of residents who experienced the Great East Japan Earthquake (GEJE) and associated tsunami. The study also aimed to promote advances in personalized healthcare and medicine related to mental health and cognitive function among the general population. We recruited participants for the first (baseline) survey starting in July 2014, enrolling individuals who were participating in either the TMM Community-Based Cohort Study (TMM CommCohort Study) or the TMM Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study). We collected multiple magnetic resonance imaging (MRI) sequences, including 3D T1-weighted sequences, magnetic resonance angiography (MRA), diffusion tensor imaging (DTI), pseudo-continuous arterial spin labeling (pCASL), and three-dimensional fluid-attenuated inversion recovery (FLAIR) sequences. To assess neuropsychological status, we used both questionnaire- and interview-based rating scales. The former assessments included the Tri-axial Coping Scale, Impact of Event Scale in Japanese, Profile of Mood States, and 15-item Depression, Anxiety, and Stress Scale, whereas the latter assessments included the Mini-Mental State Examination, Japanese version. A total of 12,164 individuals were recruited for the first (baseline) survey, including those unable to complete all assessments. In parallel, we returned the MRI results to the participants and subsequently shared the MRI data through the TMM Biobank. At present, the second (first follow-up) survey of the study started in October 2019 is underway. In this study, we established a large and comprehensive database that included robust neuroimaging data as well as psychological and cognitive assessment data. In combination with genomic and omics data already contained in the TMM Biobank database, these data could provide new insights into the relationships of pathological processes with neuropsychological disorders, including age-related cognitive impairment.
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Affiliation(s)
- Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Shunji Mugikura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naoko Mori
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomo Saito
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hideyasu Kiyomoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tadao Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Miyagi Cancer Center, Natori, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
- Miyagi Children's Hospital, Sendai, Japan
| | - Miyuki Sakurai
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kentaro Oba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Benjamin Thyreau
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tatsushi Mutoh
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuji Takano
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- University of Human Environments, Matsuyama, Japan
| | - Mitsunari Abe
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Graduate School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Norihide Maikusa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Graduate School of Art and Science, University of Tokyo, Tokyo, Japan
| | - Yasuko Tatewaki
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- The United Centers for Advanced Research and Translational Medicine, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
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Li X, Ono C, Warita N, Shoji T, Nakagawa T, Usukura H, Yu Z, Takahashi Y, Ichiji K, Sugita N, Kobayashi N, Kikuchi S, Kimura R, Hamaie Y, Hino M, Kunii Y, Murakami K, Ishikuro M, Obara T, Nakamura T, Nagami F, Takai T, Ogishima S, Sugawara J, Hoshiai T, Saito M, Tamiya G, Fuse N, Fujii S, Nakayama M, Kuriyama S, Yamamoto M, Yaegashi N, Homma N, Tomita H. Comprehensive evaluation of machine learning algorithms for predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability. Front Psychiatry 2023; 14:1104222. [PMID: 37415686 PMCID: PMC10322181 DOI: 10.3389/fpsyt.2023.1104222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/19/2023] [Indexed: 07/08/2023] Open
Abstract
Introduction Perinatal women tend to have difficulties with sleep along with autonomic characteristics. This study aimed to identify a machine learning algorithm capable of achieving high accuracy in predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability (HRV). Methods Nine HRV indicators (features) and sleep-wake conditions of 154 pregnant women were measured for 1 week, from the 23rd to the 32nd weeks of pregnancy. Ten machine learning and three deep learning methods were applied to predict three types of sleep-wake conditions (wake, shallow sleep, and deep sleep). In addition, the prediction of four conditions, in which the wake conditions before and after sleep were differentiated-shallow sleep, deep sleep, and the two types of wake conditions-was also tested. Results and Discussion In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine features, seven made major contributions to predicting sleep-wake conditions. Among the seven features, "the number of interval differences of successive RR intervals greater than 50 ms (NN50)" and "the proportion dividing NN50 by the total number of RR intervals (pNN50)" were useful to predict sleep-wake conditions unique to pregnancy. These findings suggest alterations in the vagal tone system specific to pregnancy.
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Affiliation(s)
- Xue Li
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chiaki Ono
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Noriko Warita
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tomoka Shoji
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Takashi Nakagawa
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hitomi Usukura
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Yuta Takahashi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Kei Ichiji
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Norihiro Sugita
- Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai, Japan
| | | | - Saya Kikuchi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Ryoko Kimura
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumiko Hamaie
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Mizuki Hino
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Yasuto Kunii
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tomohiro Nakamura
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Fuji Nagami
- Department of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Takako Takai
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Soichi Ogishima
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Junichi Sugawara
- Department of Community Medical Supports, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Gen Tamiya
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Susumu Fujii
- Department of Disaster Medical Informatics, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Masaharu Nakayama
- Department of Disaster Medical Informatics, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Disaster Public Health, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Nobuo Yaegashi
- Department of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Noriyasu Homma
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
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25
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Aizawa M, Murakami K, Yonezawa Y, Takahashi I, Onuma T, Noda A, Ueno F, Matsuzaki F, Ishikuro M, Obara T, Kuriyama S. Associations between sugar-sweetened beverages before and during pregnancy and offspring overweight/obesity in Japanese women: the TMM BirThree Cohort Study. Public Health Nutr 2023; 26:1222-1229. [PMID: 36754389 PMCID: PMC10346008 DOI: 10.1017/s1368980023000307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/16/2022] [Accepted: 01/27/2023] [Indexed: 02/10/2023]
Abstract
OBJECTIVE The association between high sugar-sweetened beverages (SSB) intake during pregnancy and offspring overweight/obesity has been reported only from Western countries. The objective of this study was to examine the association between SSB intake before and during pregnancy and offspring overweight/obesity among Japanese women. DESIGN Japanese prospective birth cohort study. SETTING We analysed mother-offspring pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. SSB intake during pregnancy was evaluated using the FFQ and classified into three groups: none (0 g/d), medium (<195 g/d) and high (>195 g/d). Overweight or obesity at 1 year of age in offspring was defined as having a BMI Z-score greater than 2 sd, calculated based on the BMI reference data for Japanese children. Multiple logistic regression analyses were performed to examine the associations between SSB intake before and during pregnancy and offspring overweight/obesity, after adjusting for covariates. PARTICIPANTS Japanese mother-offspring pairs (n 7114). RESULTS The overweight/obesity rate of the offspring was 8·8 %. Pregnant women with a high intake of SSB in early to mid-pregnancy had a higher risk of overweight/obesity in their offspring compared with those who did not; the OR was 1·52 (95 % CI (1·09, 2·12)). CONCLUSIONS High SSB intake in early to mid-pregnancy was associated with an increased risk of offspring overweight/obesity at 1 year of age.
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Affiliation(s)
- Misato Aizawa
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
| | - Keiko Murakami
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Yudai Yonezawa
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Innovation Division, Kagome Co., Ltd., Nasushiobara-Shi, Tochigi, Japan
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-Ku, Sendai, Miyagi, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Fumiko Matsuzaki
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-Ku, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
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Shinoda G, Nagaoka Y, Ueno F, Kurokawa N, Takahashi I, Onuma T, Noda A, Murakami K, Ishikuro M, Obara T, Metoki H, Sugawara J, Kuriyama S. Association between being Overweight in Young Childhood and during School Age and Puberty. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050909. [PMID: 37238457 DOI: 10.3390/children10050909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/12/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023]
Abstract
To examine whether body type at birth, body weight, and obesity in early childhood are associated with overweight/obesity during school age and puberty. Data from maternal and child health handbooks, baby health checkup information, and school physical examination information of participants at birth and three-generation cohort studies were linked. Association between body type and body weight at different time intervals (at birth and at 1.5, 3.5, 6, 11, and 14 years of age) were comprehensively analyzed using a multivariate regression model adjusted for gender, maternal age at childbirth, maternal parity, and maternal body mass index, and drinking and smoking statuses at pregnancy confirmation. Children who are overweight in young childhood had a greater risk of being overweight. Particularly, overweight at one year of age during checkup was associated with overweight at 3.5 years (adjusted odds ratio (aOR), 13.42; 95% confidence interval (CI), 4.46-45.42), 6 years (aOR, 6.94; 95% CI, 1.64-33.46), and 11 years (aOR, 5.22; 95% CI, 1.25-24.79) of age. Therefore, being overweight in young childhood could increase the risk of being overweight and obese during school age and puberty. Early intervention in young childhood may be warranted to prevent obesity during school age and puberty.
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Affiliation(s)
- Genki Shinoda
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Yudai Nagaoka
- School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Fumihiko Ueno
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Naoyuki Kurokawa
- Graduate School of Education, Miyagi University of Education, 149 Aramaki-Aza-Aoba, Aoba-Ku, Sendai 980-0845, Japan
| | - Ippei Takahashi
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Tomomi Onuma
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Aoi Noda
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8574, Japan
| | - Keiko Murakami
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Mami Ishikuro
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Taku Obara
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8574, Japan
| | - Hirohito Metoki
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-Ku, Sendai 983-8536, Japan
| | - Junichi Sugawara
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8574, Japan
- Suzuki Memorial Hospital, 3-5-5, Satonomori, Iwanumashi 989-2481, Japan
| | - Shinichi Kuriyama
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, 468-1 Aramakiaoba, Aoba-Ku, Sendai 980-8572, Japan
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Murakami K, Noda A, Ishikuro M, Obara T, Ueno F, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal postnatal bonding disorder and developmental delays in children: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Arch Womens Ment Health 2023; 26:219-226. [PMID: 36809368 DOI: 10.1007/s00737-023-01298-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 02/02/2023] [Indexed: 02/23/2023]
Abstract
Although there is some evidence regarding an association between maternal bonding disorder and child development, studies have mainly focused on development during the period of infancy. We aimed to examine the associations between maternal postnatal bonding disorder and developmental delays in children beyond 2 years of age. We analyzed data from 8380 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Maternal bonding disorder was defined as Mother-to-Infant Bonding Scale score of ≥5 at 1 month after delivery. The Ages & Stages Questionnaires, Third Edition, which consists of five developmental areas, was used to assess developmental delays in children at 2 and 3.5 years of age. Multiple logistic regression analyses were conducted to examine the associations between postnatal bonding disorder and developmental delays after adjustment for age, education, income, parity, feelings toward pregnancy, postnatal depressive symptoms, child's sex, preterm birth, and birth defects. Bonding disorder was associated with developmental delays in children at 2 and 3.5 years of age: the odds ratios (95% confidence intervals) were 1.55 (1.32-1.83) and 1.60 (1.34-1.90), respectively. Bonding disorder was associated with delay in communication only at 3.5 years of age. Bonding disorder was associated with delay in gross motor, fine motor, and problem solving, but not delay in the personal-social domain, at 2 and 3.5 years of age. In conclusion, maternal bonding disorder 1 month after delivery was associated with an increased risk of developmental delays in children beyond 2 years of age.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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28
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Murakami K, Obara T, Ishikuro M, Ueno F, Noda A, Kuriyama S. Associations of Education and Income with Secondhand Smoke Exposure Among Non-smoking Pregnant Women in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Matern Child Health J 2023:10.1007/s10995-023-03648-x. [PMID: 36988795 DOI: 10.1007/s10995-023-03648-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2023] [Indexed: 03/30/2023]
Abstract
OBJECTIVES There is accumulating evidence that lower socioeconomic groups are more exposed to secondhand smoke (SHS) than higher ones in the general population. The objective of the study was to examine the associations of education and income with SHS exposure among non-smoking pregnant women in Japan. METHODS We analyzed data from 11,615 non-smoking pregnant women in Japan who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. SHS exposure was defined as indoor exposure to someone else's cigarette smoke ≥ 1 day/week during pregnancy. Multiple logistic regression analyses were conducted to examine whether pregnant women's educational attainment or equivalent household income was associated with SHS exposure, adjusting for covariates. Stratified analyses by work status were also conducted. RESULTS The prevalence of SHS exposure during pregnancy was 32.6%; 27.6% among non-working women and 35.8% among working women. Lower educational attainment was associated with an increased risk of SHS exposure; the odds ratio of high school education or lower compared with university education or higher was 1.87 (95% confidence interval, 1.66-2.10). Lower equivalent household income was associated with an increased risk of SHS exposure; the odds ratio of the lowest compared with the highest level of income was 1.53 (95% confidence interval, 1.35-1.74). These associations did not differ between non-working women and working women. CONCLUSIONS FOR PRACTICE Associations of education and income with SHS exposure imply that educational interventions and financial incentives are needed for pregnant women and their household smokers.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
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29
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Murakami K, Ishikuro M, Obara T, Noda A, Ueno F, Onuma T, Matsuzaki F, Takahashi I, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal postnatal bonding disorder and emotional/behavioral problems in preschool children: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Affect Disord 2023; 325:582-587. [PMID: 36642309 DOI: 10.1016/j.jad.2023.01.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND Although there is evidence that maternal perinatal mental disorders are associated with emotional/behavioral problems in children, the long-term impacts of postnatal bonding disorder remain unclear. We aimed to examine the associations between maternal postnatal bonding disorder and emotional/behavioral problems in preschool children. METHODS We analyzed data from 7220 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Maternal bonding disorder was defined as Mother-to-Infant Bonding Scale score ≥5 at 1 month after delivery. The Child Behavior Checklist for Ages 1½-5 was used to assess emotional/behavioral problems, and its subscales were used to assess internalizing and externalizing problems in children at 4 years of age. Multiple logistic regression analyses were conducted to examine the associations of postnatal bonding disorder with emotional/behavioral, internalizing, and externalizing problems after adjustment for age, education, income, parity, prenatal psychological distress, postnatal depressive symptoms, child's sex, preterm birth, and birth defects. RESULTS The prevalence of postnatal bonding disorder was 14.8 %. Postnatal bonding disorder was associated with an increased risk of emotional/behavioral problems in children: the odds ratio (OR) was 2.06 (95 % confidence interval [CI], 1.72-2.46). Postnatal bonding disorder was also associated with increased risks of internalizing problems and externalizing problems in children: the ORs were 1.69 (95 % CI, 1.42-2.02) and 1.90 (95 % CI, 1.59-2.26), respectively. LIMITATIONS Bonding and problems were self-reported. CONCLUSIONS Bonding disorder at 1 month after delivery was associated with an increased risk of emotional/behavioral problems in children at 4 years of age.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
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30
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Ishikuro M, Obara T, Murakami K, Ueno F, Noda A, Kikuya M, Sugawara J, Metoki H, Kuriyama S. Relation of Disaster Exposure With Maternal Characteristics and Obstetric Outcomes: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Epidemiol 2023; 33:127-135. [PMID: 34219121 PMCID: PMC9909171 DOI: 10.2188/jea.je20210052] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The present study analyzed the relation of disaster exposure prior to pregnancy with maternal characteristics and obstetric outcomes. METHODS The participants were 13,148 pregnant women recruited from 2013 to 2017. The women were classified into three groups by the severity of housing damage caused by the Great East Japan Earthquake of 2011: group A, house was not destroyed/did not live in the disaster area; group B, half/part of the house was destroyed; and group C, house was totally/mostly destroyed. Maternal characteristics, hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), and gestational weeks were obtained using questionnaires and medical records. Multiple logistic regression analyses were performed to investigate the relation between disaster exposure and maternal characteristics, HDP, and GDM. A structural equation model was applied to investigate the relation of disaster exposure with HDP and gestational weeks. RESULTS The homes of about 11% of the women were totally/mostly destroyed. For groups B and C compared with those in group A, the adjusted ORs for HDP were 1.04 and 1.26 (P for trend = 0.01), and for GDM were 0.89 and 1.14 (P for trend = 0.9), respectively. Pre-pregnancy body mass index (BMI) mediated 23.2% of the relation between disaster exposure and HDP. Disaster exposure was associated with gestational weeks. CONCLUSION Disaster exposure at least 2.5 years before pregnancy was found to be associated with maternal characteristics and the prevalence of HDP. Pre-pregnancy BMI mediated the relation between disaster exposure and the prevalence of HDP, and gestational weeks were reduced through HDP.
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Affiliation(s)
- Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine.,Tohoku University Hospital
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine.,Tohoku University Hospital
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University.,Teikyo University School of Medicine
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Hospital
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University.,Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine.,International Research Institute of Disaster Science, Tohoku University
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31
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Sato S, Yu Z, Sakai M, Motoike IN, Saigusa D, Hirayama R, Kikuchi Y, Abe T, Kinoshita K, Koshiba S, Tomita H. Decreased β-hydroxybutyrate and ketogenic amino acid levels in depressed human adults. Eur J Neurosci 2023; 57:1018-1032. [PMID: 36750311 DOI: 10.1111/ejn.15931] [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: 03/24/2022] [Revised: 01/24/2023] [Accepted: 01/29/2023] [Indexed: 02/09/2023]
Abstract
β-hydroxybutyrate (BHB) is a major ketone body synthesized mainly in the liver mitochondria and is associated with stress and severity of depression in humans. It is known to alleviate depressive-like behaviors in mouse models of depression. In this study, plasma BHB, ketogenic and glucogenic amino acids selected from the Tohoku Medical Megabank Project Community-Based Cohort Study were analysed and measured using nuclear magnetic resonance spectroscopy. The Center for Epidemiologic Studies Depression Scale (CES-D) was utilized to select adult participants with depressive symptoms (CES-D ≥ 16; n = 5722) and control participants (CES-D < 16; n = 18,150). We observed significantly reduced plasma BHB, leucine, and tryptophan levels in participants with depressive symptoms. Using social defeat stress (SDS) mice models, we found that BHB levels in mice sera increased after acute SDS, but showed no change after chronic SDS, which differed from human plasma results. Furthermore, acute SDS increased mitochondrial BHB levels in the prefrontal cortex at 6 h. In contrast, chronic SDS significantly increased the amount of food intake but reduced hepatic mitochondrial BHB levels in mice. Moreover, gene transcriptions of voltage-dependent anion-selective channel 1 (Vdac1) and monocarboxylic acid transporter 1 (Mct1), major molecules relevant to mitochondrial biogenesis and BHB transporter, significantly decreased in the liver and PFC after chronic SDS exposure. These results provide evidence that hepatic and prefrontal mitochondrial biogenesis plays an important role in BHB synthesis under chronic stress and in humans with depressive symptoms.
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Affiliation(s)
- Shiho Sato
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mai Sakai
- Department of Psychiatric Nursing, Graduate School of Health Science, Tohoku University, Sendai, Japan
| | - Ikuko N Motoike
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of System Bioinformatics, Tohoku University Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Daisuke Saigusa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryo Hirayama
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Takaaki Abe
- Department of Biomedical Engineering Regenerative and Biomedical Engineering Medical Science, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of System Bioinformatics, Tohoku University Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Seizo Koshiba
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
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32
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CFH-CFHR1 hybrid genes in two cases of atypical hemolytic uremic syndrome. J Hum Genet 2023; 68:427-430. [PMID: 36755127 DOI: 10.1038/s10038-023-01129-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/10/2023]
Abstract
Atypical hemolytic uremic syndrome (aHUS) is a rare complement-mediated disease that manifests as the triad of thrombotic microangiopathy. We identified two aHUS patients with neither anti-complement factor H (CFH) antibodies nor causative variants of seven aHUS-related genes (CFH, CFI, CFB, C3, MCP, THBD, and DGKE); however, their plasma showed increased levels of hemolysis by hemolytic assay, which strongly suggests CFH-related abnormalities. Using a copy number variation (CNV) analysis of the CFH/CFHR gene cluster, we identified CFH-CFHR1 hybrid genes in these patients. We verified the absence of aHUS-related abnormal CNVs of the CFH gene in control genomes of 2036 individuals in the general population, which suggests that pathogenicity is related to these hybrid genes. Our study emphasizes that, for patients suspected of having aHUS, it is important to perform an integrated analysis based on a clinical examination, functional analysis, and detailed genetic investigation.
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33
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Takahashi I, Obara T, Kikuchi S, Kobayashi M, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Matsuzaki F, Kobayashi N, Hamada H, Iwama N, Saito M, Sugawara J, Tomita H, Kure S, Yaegashi N, Kuriyama S. Association between maternal psychological distress and children's neurodevelopment in offspring aged 4 years in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Paediatr Child Health 2023; 59:548-554. [PMID: 36751990 DOI: 10.1111/jpc.16353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 01/09/2023] [Accepted: 01/22/2023] [Indexed: 02/09/2023]
Abstract
AIM An association between maternal psychological distress and children's development has been reported, but reports from Japan are limited. This study aimed to examine the association of maternal psychological distress with children's neurodevelopment in Japan. METHODS The study assessed data of 7646 mother-infant pairs in the Japanese population. We used Kessler Psychological Distress Scale, a screening tool for psychological distress, to assess maternal psychological distress in early pregnancy and 2 years postpartum and divided it into four categories: none in both the pre-natal and post-natal periods, only the pre-natal period, only the post-natal period and both the pre-natal and post-natal periods. Children's neurodevelopment was assessed using the Ages & Stages Questionnaires Third Edition (ASQ-3) at 4 years of age. ASQ-3 comprises five domains (communication, gross motor, fine motor, problem solving and personal-social), and the score of less than -2 standard deviation relative to the mean in reference was defined as having developmental delay. We conducted multivariate logistic regression analysis to examine the association between maternal psychological distress and children's neurodevelopment. RESULTS The prevalence of developmental delay of communication, gross motor, fine motor, problem solving and personal-social were 4.0%, 4.3%, 4.9%, 3.8% and 4.6%, respectively. Maternal psychological distress in only the postpartum period and both pre-natal and postpartum periods were associated with risks of developmental delay in all domains. Maternal psychological distress in only the pre-natal period was associated with developmental delay in communication. CONCLUSIONS Maternal psychological distress is associated with risks of children's developmental delay.
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Affiliation(s)
- Ippei Takahashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Mika Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Tomomi Onuma
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiko Matsuzaki
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Noriyuki Iwama
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Shigeo Kure
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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34
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Obara T, Ishikuro M, Ueno F, Noda A, Murakami K, Kuriyama S. Antihypertensive drug use during pregnancy in Japan. Hypertens Res 2023; 46:548-549. [PMID: 36460830 DOI: 10.1038/s41440-022-01101-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan. .,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan. .,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan.
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Fumihiko Ueno
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Aoi Noda
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,International Research Institute of Disaster Science, Sendai, Japan
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35
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Combination of genetic and environmental factors for childhood hypertension: a simple indicator of family history remains useful. Hypertens Res 2023; 46:1061-1063. [PMID: 36697874 DOI: 10.1038/s41440-022-01165-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/12/2022] [Indexed: 01/26/2023]
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36
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Kobayashi T, Kobayashi M, Minegishi N, Kikuya M, Obara T, Ishikuro M, Yamanaka C, Onuma T, Murakami K, Ueno F, Noda A, Uruno A, Sugawara J, Suzuki K, Kodama EN, Hamanaka Y, Tsuchiya N, Kogure M, Nakaya N, Taira M, Sakurai-Yageta M, Tamahara T, Kawashima J, Goto M, Otsuki A, Shimizu R, Ogishima S, Hashizume H, Nagami F, Nakamura T, Hozawa A, Kobayashi T, Fuse N, Kuriyama S, Kure S, Yamamoto M. Design and Progress of Child Health Assessments at Community Support Centers in the Birth and Three-Generation Cohort Study of the Tohoku Medical Megabank Project. TOHOKU J EXP MED 2023; 259:93-105. [PMID: 36450480 DOI: 10.1620/tjem.2022.j103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The Tohoku Medical Megabank Project (TMM) has been conducting a birth and three-generation cohort study (the BirThree Cohort Study). We recruited 73,529 pregnant women and their family members for this cohort study, which included 23,143 newborns and 9,459 of their siblings. We designed and are in the process of conducting three-step health assessments for each newborn at approximately ages of 5, 10 and 16. These health assessments are administered at seven community support centers. Trained genome medical research coordinators conduct physical examinations of and collect biological specimens from each participant. The Sendai Children's Health Square has been established as the headquarters for these child health assessments and is utilized to accumulate knowledge that can facilitate the proper practice of child health assessments. We designed all the relevant health assessments facilities to allow parents and their children to participate in the health assessments concomitantly. Our centers serve as places where child participants and their parents can feel at ease as a result of the implementation of safety measures and child hospitality measures. The TMM BirThree Cohort Study is in the process of conducting strategically detailed health assessments and genome analysis, which can facilitate studies concerning the gene-environment interactions relevant to noncommunicable diseases. Through these operations, our study allows for a significant depth of data to be collected in terms of the number of biospecimens under study and the comprehensiveness of both basic and clinical data alongside relevant family information.
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Affiliation(s)
- Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Mika Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | | | | | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | | | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University
| | - Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Toru Tamahara
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Maki Goto
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
| | | | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | | | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
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37
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Machida T, Obara T, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Matsuzaki F, Inoue J, Kuriyama S, Mano N. Liver steatosis and fibrosis markers' association with cardiovascular and renal damage in Japanese adults: the TMM BirThree cohort study. Ann Hepatol 2023; 28:100761. [PMID: 36179796 DOI: 10.1016/j.aohep.2022.100761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 09/05/2022] [Accepted: 09/18/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION AND OBJECTIVES Patients with non-alcoholic fatty liver disease (NAFLD) are at risk for cardiovascular and chronic kidney diseases. Liver steatosis and fibrosis were assessed using the fatty liver index and fibrosis-4 index, respectively. This study aimed to examine the association between these two parameters in patients with atherosclerosis and chronic kidney disease. MATERIALS AND METHODS The two parameters were calculated for 11,867 adults who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Intima-media thickness and estimated glomerular filtration rate were also measured. Logistic regression models were used to estimate the odds ratios (OR). RESULTS Overall, 4257 (35.9%) and 4733 (39.9%) participants had a higher probability of liver steatosis and fibrosis, respectively. The adjusted OR of higher fatty liver index compared to lower fatty liver index for atherosclerosis and chronic kidney disease were 0.98 (95% confidence interval [CI], 0.77-1.24) and 1.79 (95% CI, 1.19-2.69), and those of higher FIB-4 compared to lower FIB-4 were 1.03 (95% CI, 0.82-1.30) and 0.79 (95% CI, 0.52-1.19) for atherosclerosis and chronic kidney disease, respectively. CONCLUSIONS A higher FLI was associated with CKD independent of other risk factors. Further research is required to identify the causal relationship between liver fat accumulation and CKD.
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Affiliation(s)
- Toshiya Machida
- Laboratory of Clinical Pharmacy, Tohoku University Graduate School of Pharmaceutical Sciences, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Taku Obara
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.
| | - Mami Ishikuro
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Keiko Murakami
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumihiko Ueno
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Aoi Noda
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Tomomi Onuma
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumiko Matsuzaki
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Jun Inoue
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Shinichi Kuriyama
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nariyasu Mano
- Laboratory of Clinical Pharmacy, Tohoku University Graduate School of Pharmaceutical Sciences, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Traumatic experiences of the Great East Japan Earthquake and postpartum depressive symptoms: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Affect Disord 2023; 320:461-467. [PMID: 36191647 DOI: 10.1016/j.jad.2022.09.139] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 09/21/2022] [Accepted: 09/27/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Natural disasters can have serious mental health consequences. We aimed to examine the long-term effects of the 2011 Great East Japan Earthquake (GEJE) on postpartum depressive symptoms (PDS). METHODS The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study recruited pregnant women in Miyagi Prefecture from 2013 to 2016. Data from 11,403 participants were used in this study. Women were asked about their traumatic experiences of the GEJE with questions addressing threat, witness, and loss. PDS were defined as Edinburgh Postnatal Depression Scale score ≥9 at 1 month after delivery. Multiple logistic regression analyses were conducted to examine the associations of different traumatic experiences of the GEJE and number of traumatic experiences with PDS, after adjustment for age, parity, feelings toward pregnancy, education, income, social isolation, house damage caused by the GEJE, and survey year. RESULTS About two-fifths of women had at least one traumatic experience of the GEJE. The prevalence of PDS at 1 month after delivery was 13.3 %. Life-threatening experience and witnessing another person's actual or threatened death were associated with PDS: the odds ratios (ORs) were 1.40 (95 % confidence interval [CI], 1.24-1.59) and 1.28 (95 % CI, 1.08-1.53), respectively. Loss of close person was not associated with PDS: the OR was 1.13 (95 % CI, 0.99-1.30). Larger number of traumatic experiences of the GEJE was associated with increased risk of PDS (p for trend <0.001). LIMITATIONS PDS was self-reported. CONCLUSIONS Traumatic experiences of the GEJE prior to pregnancy were associated with increased risks of PDS.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
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Ohneda K, Hamanaka Y, Kawame H, Fuse N, Nagami F, Suzuki Y, Yamaguchi-Kabata Y, Shimada M, Masamune A, Aoki Y, Ishida T, Yamamoto M. Returning individual genomic results to population-based cohort study participants with BRCA1/2 pathogenic variants. Breast Cancer 2023; 30:110-120. [PMID: 36161580 DOI: 10.1007/s12282-022-01404-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/14/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Recent advances in human genome research have provided evidence for genotype-phenotype associations, pathogenicity, and clinical actionability of variants and genomic risk prediction of disease. However, the return of individual genomic results to healthy individuals is fraught with ethical and practical complexity. METHODS Individual genomic results were returned to BRCA1/2 pathogenic variant (PV) carriers of the Tohoku Medical Megabank cohort study participants with an information on hereditary breast and ovarian cancer syndrome (HBOC). One hundred and eighty participants, including 9 BRCA1/2 PV carriers, were asked about their willingness to receive individual genomic results, without revealing the gene name and related disorders, prior to the study. Of the 142 participants who responded, 103 showed willingness to know their genomic information. Each of the six BRCA1/2 PV carriers who consented to participate in the study received information about HBOC in person and underwent validation testing with blood resampling. RESULTS All participants were in their 60s or 70s; of the four females and two males, two had a history of breast cancer and five had a family history of HBOC-related cancers. All participants appreciated the information, without remarkable negative psychological impact of the return, and intended to undergo clinical risk surveillance. Five participants were accompanied by family members while receiving the results, and three first-degree female relatives wished to undergo genomic testing at the hospital. CONCLUSIONS Our results suggest that returning actionable genomic information to participants in a population-based genome cohort study is beneficial for preventing or providing early-stage intervention for associated diseases.
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Affiliation(s)
- Kinuko Ohneda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hiroshi Kawame
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Clinical Genetics, Jikei University Hospital, Tokyo, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Yoichi Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Clinical Genetics, Ageo Central General Hospital, Ageo, Saitama, Japan
| | - Yumi Yamaguchi-Kabata
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Muneaki Shimada
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Atsushi Masamune
- Department of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yoko Aoki
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Takanori Ishida
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan.
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Ohseto H, Ishikuro M, Obara T, Murakami K, Onuma T, Noda A, Takahashi I, Matsuzaki F, Ueno F, Iwama N, Kikuya M, Metoki H, Sugawara J, Kuriyama S. Dietary calcium intake was related to the onset of pre-eclampsia: The TMM BirThree Cohort Study. J Clin Hypertens (Greenwich) 2022; 25:61-70. [PMID: 36579409 PMCID: PMC9832228 DOI: 10.1111/jch.14606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/12/2022] [Accepted: 11/15/2022] [Indexed: 12/30/2022]
Abstract
This study aimed to explore the relationship between dietary electrolyte intake and the prevalence of hypertensive disorders of pregnancy (HDP) subtypes. Our analysis included 19 914 pregnant women from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. A food frequency questionnaire was used to estimate dietary calcium, potassium, sodium, and magnesium intakes. HDP was determined based on the medical records during regular antenatal care. Logistic regression analysis assessed the relationship between dietary electrolytes intake quintiles, and HDP subtypes with adjustment for basic characteristics. Dietary electrolyte intakes were applied for the prediction model. Of the cohort, 547 participants delivered with pre-eclampsia (PE), 278 with superimposed PE (SP), and 896 with gestational hypertension (GH). PE was associated with low crude calcium intake (odds ratio of the first quintile [<251 mg/day] to the fifth quintile [>623 mg/day] and 95% confidence interval, 1.31 [1.00-1.70]) and P for trend was .02. SP was not associated with any nutritional intake; however, the combined outcome of PE and SP was related to low crude calcium and potassium and energy-adjusted calcium, potassium, and magnesium intakes (P for trend, .01, .048, .02, .04, and .02, respectively). The same tendency was observed for GH. A prediction model that included crude calcium and potassium intakes performed better than a model without them. In conclusion, low dietary calcium, potassium, and magnesium were associated with higher HDP subtypes prevalence. The prediction model implied that crude calcium and potassium intakes might play a critical role in PE and SP pathogenesis.
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Affiliation(s)
- Hisashi Ohseto
- Tohoku University Graduate School of MedicineSendaiJapan
| | - Mami Ishikuro
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Taku Obara
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | - Keiko Murakami
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Tomomi Onuma
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Aoi Noda
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | | | - Fumiko Matsuzaki
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Fumihiko Ueno
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Noriyuki Iwama
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | - Masahiro Kikuya
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Teikyo University School of MedicineTokyoJapan
| | - Hirohito Metoki
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Faculty of MedicineTohoku Medical and Pharmaceutical UniversitySendaiJapan
| | - Junichi Sugawara
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | - Shinichi Kuriyama
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,International Research Institute of Disaster ScienceTohoku UniversitySendaiJapan
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Social isolation and insomnia among pregnant women in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Sleep Health 2022; 8:714-720. [PMID: 36229360 DOI: 10.1016/j.sleh.2022.08.007] [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: 01/27/2022] [Revised: 07/25/2022] [Accepted: 08/23/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To estimate the prevalence of insomnia and examine the association between social isolation and insomnia among pregnant women. METHODS This cross-sectional study was part of the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. Pregnant women were recruited at obstetric clinics and hospitals in Miyagi Prefecture, Japan. We analyzed 17,586 women who completed the questionnaires and were allowed to transcribe medical records. Insomnia was defined as the Athens Insomnia Scale score of ≥6. The Lubben Social Network Scale-abbreviated version was used to assess social isolation (defined as scores <12), and its subscales were used to assess marginal family ties and marginal friendship ties. Multiple logistic regression analyses were conducted to examine the association between social isolation and insomnia during pregnancy, adjusting for age, parity, prepregnancy body mass index, feelings toward pregnancy, education, income, work status, morning sickness, and psychological distress. Multiple logistic regression analyses were also conducted for marginal family ties and marginal friendship ties. RESULTS The prevalence of insomnia in the second trimester was 37.3%. Women who were socially isolated were more likely to have insomnia than women who were socially integrated: the multivariate-adjusted odds ratio (OR) was 1.26 (95% confidence interval [CI], 1.16-1.36). Marginal family ties and marginal friendship ties were also associated with increased risks of insomnia: the multivariate-adjusted ORs were 1.40 (95% CI, 1.25-1.56) and 1.15 (95% CI, 1.07-1.24), respectively. CONCLUSIONS Social isolation from family and friends was associated with increased risks of insomnia among pregnant women.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Teikyo University School of Medicine, Tokyo, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan; International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Social isolation and postnatal bonding disorder in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Arch Womens Ment Health 2022; 25:1079-1086. [PMID: 36114927 DOI: 10.1007/s00737-022-01266-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 09/09/2022] [Indexed: 12/14/2022]
Abstract
Although there is substantial information about the effects of social relationships on mental health, their effects on postnatal bonding remain unclear. We aimed to examine the association between social isolation and postnatal bonding disorder. We analyzed data from 17,999 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. An abbreviated version of the Lubben Social Network Scale was used to assess social isolation in the second trimester of pregnancy, and its subscales were used to assess marginal family ties and marginal friendship ties. Bonding disorder was defined as a Mother-to-Infant Bonding Scale score of ≥ 5 1 month after delivery. Multiple logistic regression analyses were conducted to examine the association between social isolation and postnatal bonding disorder after adjusting for age at delivery, parity, feelings towards pregnancy, psychological distress during pregnancy, and household income. Analyses stratified by postnatal depressive symptoms (PDS) were also conducted. Social isolation was associated with postnatal bonding disorder: the odds ratio (OR) was 1.55 (95% confidence interval [CI], 1.41-1.71). Marginal family ties and friendship ties were associated with postnatal bonding disorder: the ORs were 1.40 (95% CI, 1.23-1.60) and 1.44 (95% CI, 1.32-1.57), respectively. Marginal family ties were associated with postnatal bonding disorder only among women without PDS: the ORs were 1.30 (95% CI, 1.10-1.55) among women without PDS and 1.13 (95% CI, 0.91-1.40) among women with PDS. Social isolation during pregnancy was associated with an increased risk of postnatal bonding disorder.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan. .,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.,International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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43
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Yu Z, Matsukawa N, Saigusa D, Motoike IN, Ono C, Okamura Y, Onuma T, Takahashi Y, Sakai M, Kudo H, Obara T, Murakami K, Shirota M, Kikuchi S, Kobayashi N, Kikuchi Y, Sugawara J, Minegishi N, Ogishima S, Kinoshita K, Yamamoto M, Yaegashi N, Kuriyama S, Koshiba S, Tomita H. Plasma metabolic disturbances during pregnancy and postpartum in women with depression. iScience 2022; 25:105666. [PMID: 36505921 PMCID: PMC9732390 DOI: 10.1016/j.isci.2022.105666] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 08/17/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022] Open
Abstract
Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or without (n = 222) PPD. Gas chromatogram-mass spectrometry was used to analyze plasma metabolites at these two time points. Among the 170 objected plasma metabolites, principal component analysis distinguished pregnancy and postpartum metabolites but failed to discriminate women with and without PPD. Compared to women without PPD, those with PPD exhibited 37 metabolites with disparate changes during pregnancy and the 1-month postpartum period and an enriched citrate cycle. Machine learning and multivariate statistical analysis identified two or three compounds that could be potential biomarkers for PPD prediction during pregnancy. Our findings suggest metabolic disturbances in women with depression and may help to elucidate metabolic processes associated with PPD development.
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Affiliation(s)
- Zhiqian Yu
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Corresponding author
| | - Naomi Matsukawa
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Daisuke Saigusa
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Laboratory of Biomedical and Analytical Sciences, Faculty of Pharma-Science, Teikyo University
| | - Ikuko N. Motoike
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of System Bioinformatics, Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Chiaki Ono
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasunobu Okamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Innovations in Next-Generation Medicine, Advanced Research Center, Tohoku University, Sendai, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yuta Takahashi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mai Sakai
- Department of Disaster Psychiatry, International Research Institute for Disaster Science, Tohoku University, Sendai, Japan
| | - Hisaaki Kudo
- Department of Biobank Life Science, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Matusyuki Shirota
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Saya Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Natsuko Kobayashi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoko Minegishi
- Department of Biobank Life Science, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of System Bioinformatics, Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Gynecology and Obstetrics, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Division of Disaster Public Health, International Research Institute for Disaster Science, Tohoku University, Sendai, Japan
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Disaster Psychiatry, International Research Institute for Disaster Science, Tohoku University, Sendai, Japan
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44
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Aizawa M, Murakami K, Takahashi I, Onuma T, Noda A, Ueno F, Matsuzaki F, Ishikuro M, Obara T, Hamada H, Iwama N, Saito M, Sugawara J, Yaegashi N, Kuriyama S. Skipping breakfast during pregnancy and hypertensive disorders of pregnancy in Japanese women: the Tohoku medical megabank project birth and three-generation cohort study. Nutr J 2022; 21:71. [PMID: 36397086 PMCID: PMC9670553 DOI: 10.1186/s12937-022-00822-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 11/08/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Hypertensive disorders of pregnancy (HDP) adversely affect the prognosis of mother and child, and the prognosis depends on the subtype of HDP. Skipping breakfast may be associated with increased blood pressure due to disruption of the circadian clock, but the association with the development of HDP has not been studied. The purpose of this study was to examine the association between skipping breakfast and the development of HDP and HDP subtypes in Japanese pregnant women. METHODS Of the pregnant women who participated in the Tohoku Medical Megabank Project Three-Generation Cohort Study, 18,839 who answered the required questions were included in the analysis. This study had a cross-sectional design. The breakfast intake frequency from pre-pregnancy to early pregnancy was classified into four groups: daily, 5-6 times per week, 3-4 times per week, and 0-2 times per week. HDP was classified into gestational hypertension (GH), chronic hypertension (CH), preeclampsia (PE), and severe preeclampsia (SuPE). Multiple logistic regression analysis and multinomial logistic analysis were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for breakfast intake frequency and development of HDP or HDP subtypes. We performed a stratified analysis based on energy intake. RESULTS Of the participants, 74.3% consumed breakfast daily, and 11.1% developed HDP. Women who consumed breakfast 0-2 times per week had a higher risk of HDP (OR: 1.33, 95% CI: 1.14-1.56), CH (OR: 1.63, 95% CI: 1.21-2.19), and PE (OR: 1.68, 95% CI: 1.27-2.21) than those who consumed breakfast daily. No association was found between skipping breakfast and the risk of developing GH (OR: 1.26, 95% CI: 0.99-1.61) and SuPE (OR: 0.91, 95% CI: 0.55-1.49). Stratified analysis showed that the risk of developing HDP due to skipping breakfast was highest in the group with the highest daily energy intake. CONCLUSIONS Skipping breakfast during pre-to early pregnancy is associated with the development of HDP. Further longitudinal studies are required to clarify the causal association between skipping breakfast and HDP.
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Affiliation(s)
- Misato Aizawa
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ippei Takahashi
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tomomi Onuma
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Fumihiko Ueno
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiko Matsuzaki
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Hirotaka Hamada
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Noriyuki Iwama
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Masatoshi Saito
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Junichi Sugawara
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Nobuo Yaegashi
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Shinichi Kuriyama
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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45
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Takahashi I, Murakami K, Kobayashi M, Kikuchi S, Igarashi A, Obara T, Ishikuro M, Ueno F, Noda A, Onuma T, Matsuzaki F, Kobayashi N, Hamada H, Iwama N, Saito M, Sugawara J, Tomita H, Yaegashi N, Kure S, Kuriyama S. Association of maternal psychological distress and the use of childcare facilities with children's behavioral problems: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. BMC Psychiatry 2022; 22:693. [PMID: 36357866 PMCID: PMC9650864 DOI: 10.1186/s12888-022-04330-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 10/21/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Childcare facilities are a factor that lowers the established association of mother's postnatal psychiatric symptoms with children's behavioral problems. However, no studies have considered the prenatal psychiatric symptoms yet. This study examined whether the use of childcare facilities moderates the association of maternal psychological distress in early pregnancy and at two years postpartum with behavioral problems in children aged four years. METHODS The present study was based on the data from 23,130 mother-child pairs participating in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. K6 was used to classify maternal psychological distress in early pregnancy and at two years postpartum into four categories: none in both prenatal and postnatal periods (none), only the prenatal period (prenatal only); only the postnatal period (postnatal only); both prenatal and postnatal periods (both). The children's behavioral problems were assessed using the Child Behavior Checklist for Ages 1½-5 (CBCL) aged four years. The clinical range of the externalizing, internalizing, and total problem scales of the CBCL was defined as having behavioral problems. To examine whether availing childcare facilities moderates the association between maternal psychological distress and children's behavioral problems, we conducted a stratified analysis based on the use of childcare facilities or not, at two years of age. The interaction term between maternal psychological distress and use of childcare facilities was included as a covariate in the multivariate logistic regression analysis to confirm the p-value for the interaction. RESULTS The prevalence of the clinical ranges of externalizing problems, internalizing problems, and clinical range of total problems were 13.7%, 15.4%, and 5.8%, respectively. The association of maternal psychological distress with a high risk of children's behavioral problems was significant; however, the association between prenatal only psychological distress and externalizing problems in the group that did not use childcare facilities was not significant. Interactions between the use of childcare facilities and maternal psychological distress on behavioral problems in children were not significant. CONCLUSIONS Use of childcare facilities did not moderate the association of maternal psychological distress in early pregnancy and at two years postpartum with behavioral problems in children aged four years.
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Affiliation(s)
- Ippei Takahashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiko Murakami
- Tohoku University Graduate School of Medicine, Sendai, Japan. .,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573, Japan.
| | - Mika Kobayashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Saya Kikuchi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Ayaka Igarashi
- grid.69566.3a0000 0001 2248 6943Tohoku University School of Medicine, Sendai, Japan
| | - Taku Obara
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Mami Ishikuro
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Fumihiko Ueno
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Aoi Noda
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Tomomi Onuma
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Fumiko Matsuzaki
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Natsuko Kobayashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hirotaka Hamada
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Noriyuki Iwama
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Masatoshi Saito
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Junichi Sugawara
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Hiroaki Tomita
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Shigeo Kure
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Shinichi Kuriyama
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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46
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Otsuki A, Okamura Y, Ishida N, Tadaka S, Takayama J, Kumada K, Kawashima J, Taguchi K, Minegishi N, Kuriyama S, Tamiya G, Kinoshita K, Katsuoka F, Yamamoto M. Construction of a trio-based structural variation panel utilizing activated T lymphocytes and long-read sequencing technology. Commun Biol 2022; 5:991. [PMID: 36127505 PMCID: PMC9489684 DOI: 10.1038/s42003-022-03953-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Long-read sequencing technology enable better characterization of structural variants (SVs). To adapt the technology to population-scale analyses, one critical issue is to obtain sufficient amount of high-molecular-weight genomic DNA. Here, we propose utilizing activated T lymphocytes, which can be established efficiently in a biobank to stably supply high-grade genomic DNA sufficiently. We conducted nanopore sequencing of 333 individuals constituting 111 trios with high-coverage long-read sequencing data (depth 22.2x, N50 of 25.8 kb) and identified 74,201 SVs. Our trio-based analysis revealed that more than 95% of the SVs were concordant with Mendelian inheritance. We also identified SVs associated with clinical phenotypes, all of which appear to be stably transmitted from parents to offspring. Our data provide a catalog of SVs in the general Japanese population, and the applied approach using the activated T-lymphocyte resource will contribute to biobank-based human genetic studies focusing on SVs at the population scale. Long-read sequencing on activated T-cells from a sample of 333 Japanese individuals (representing 111 parent-offspring trios) provides a useful reference dataset of structural variation in the Japanese population.
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Affiliation(s)
- Akihito Otsuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Yasunobu Okamura
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Noriko Ishida
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Shu Tadaka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Jun Takayama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15 F, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.,Department of AI and Innovative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Junko Kawashima
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Keiko Taguchi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15 F, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.,Department of AI and Innovative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki Aza-Aoba, Aoba-ku, Sendai, Miyagi, 980-8579, Japan
| | - Fumiki Katsuoka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan. .,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan. .,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
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Yamashita T, Obara T, Yonezawa Y, Takahashi I, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Iwama N, Hamada H, Sugawara J, Suzuki S, Suganuma H, Saito M, Yaegashi N, Kuriyama S. Dietary patterns before and during pregnancy and small for gestational age in Japan: a prospective birth cohort study. Nutr J 2022; 21:57. [PMID: 36114492 PMCID: PMC9479276 DOI: 10.1186/s12937-022-00808-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 08/30/2022] [Indexed: 11/13/2022] Open
Abstract
Background Although small for gestational age (SGA) is a serious problem worldwide, the association of dietary patterns before and during pregnancy with SGA risk is unclear. We evaluated this association among Japanese pregnant women using three methods: reduced rank regression (RRR) and partial least squares (PLS), methods for extracting dietary patterns that can explain the variation of response variables, and principal component analysis (PCA), a method for extracting dietary patterns of the population. Methods Between July 2013 and March 2017, 22,493 pregnant women were recruited to the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a population-based prospective birth cohort study in Japan. Information on dietary intake was obtained using food frequency questionnaires, and dietary patterns were extracted using RRR, PLS, and PCA. Information on birth weight was obtained from obstetric records, and the birth weight SD score and SGA were defined by the method of the Japan Pediatric Society. The associations of dietary patterns with birth weight SD score and SGA risk were investigated using multiple linear regression and multiple logistic regression, respectively. Results A total of 17,728 mother-child pairs were included. The birth weight SD score was 0.15 ± 0.96, and the prevalence of SGA was 6.3%. The dietary patterns extracted by RRR and PLS were similar and characterized by a high intake of cereals and fruits and a low intake of alcoholic and non-alcoholic beverages in both pre- to early pregnancy and from early to mid-pregnancy. Higher adoption of the RRR and PLS patterns in both periods was associated with an increased birth weight SD score and lower risk of SGA. In contrast, the PCA1 pattern was not associated with birth weight SD score or SGA risk in either period. Although the PCA2 pattern was associated with increased birth weight SD score from early to mid-pregnancy, no other associations with birth weight SD score or SGA risk were observed. Conclusions The dietary pattern with a high intake of cereals and fruits and a low intake of alcoholic and non-alcoholic beverages before and during pregnancy was associated with a decreased SGA risk in Japan. Supplementary Information The online version contains supplementary material available at 10.1186/s12937-022-00808-7.
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48
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Ohseto H, Ishikuro M, Obara T, Murakami K, Onuma T, Noda A, Ueno F, Iwama N, Kikuya M, Metoki H, Sugawara J, Kuriyama S. Preeclampsia prediction model using the dipstick test for proteinuria during early gestation. HYPERTENSION RESEARCH IN PREGNANCY 2022. [DOI: 10.14390/jsshp.hrp2022-002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | - Taku Obara
- Tohoku University Graduate School of Medicine,
| | | | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University,
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University,
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University,
| | | | | | - Hirohito Metoki
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University,
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49
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Noda A, Ishikuro M, Obara T, Murakami K, Ueno F, Matsuzaki F, Onuma T, Watanabe Z, Shiga N, Iwama N, Hirotaka H, Otsuka T, Tachibana M, Tomita H, Saito M, Sugawara J, Kure S, Yaegashi N, Kuriyama S. Association between maternal infertility treatment and child neurodevelopment: findings from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Miyagi and Iwate Prefectures, Japan. BMJ Open 2022; 12:e060944. [PMID: 35672073 PMCID: PMC9174802 DOI: 10.1136/bmjopen-2022-060944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES This study aimed to examine the association between infertility treatment and neurodevelopment in children at 2 and 3.5 years of age. DESIGN Prospective cohort study. SETTING AND PARTICIPANTS The study population consisted of mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Miyagi and Iwate Prefectures, Japan. Pregnant women were recruited in obstetric clinics or hospitals and their children were followed up by the questionnaire. OUTCOME MEASURES The children's neurodevelopmental outcomes were assessed at 2 and 3.5 years of age using the Ages and Stages Questionnaire, third edition (ASQ-3), which consists of questions on five developmental domains. We performed a multivariate logistic regression analysis of the association between infertility treatment (including ovulation induction (OI), artificial insemination with husband's sperm (AIH) and assisted reproductive technology (ART)) and the clinical range of ASQ-3. RESULTS Of 9655 mother-child pairs, 273 (2.8%) and 487 (5.0%) were conceived through OI/AIH and ART, respectively. The odds of having developmental delays at 2 years of age were higher in children conceived through OI/AIH (OR, 1.36; 95% CI 1.00 to 1.85) and ART (OR, 1.36; 95% CI 1.07 to 1.72) than in those conceived naturally. Additionally, OI/AIH and ART were significantly associated with communication (OR, 1.93; 95% CI 1.25 to 2.98) and gross motor (OR, 1.50; 95% CI 1.08 to 2.09) delays, respectively. There were no statistically significant differences in the odds of having developmental delays at 3.5 years of age in children conceived through OI/AIH (OR, 1.13; 95% CI 0.79 to 1.61) and ART (OR, 1.03; 95% CI 0.78 to 1.37). CONCLUSION In this study, we found a significant association between infertility treatment and children's neurodevelopment at 2 years of age, whereas no statistically significant differences were found at 3.5 years of age.
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Affiliation(s)
- Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Naomi Shiga
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hamada Hirotaka
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tatsui Otsuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Masahito Tachibana
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Pediatrics, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
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50
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Kunii Y, Usukura H, Otsuka K, Maeda M, Yabe H, Takahashi S, Tachikawa H, Tomita H. Lessons learned from psychosocial support and mental health surveys during the 10 years since the Great East Japan Earthquake: Establishing evidence-based disaster psychiatry. Psychiatry Clin Neurosci 2022; 76:212-221. [PMID: 35137504 PMCID: PMC9314661 DOI: 10.1111/pcn.13339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 01/30/2022] [Indexed: 11/27/2022]
Abstract
Post-disaster mental health and psychosocial support have drawn attention in Japan after the 1995 Great Hanshin-Awaji Earthquake, with mental health care centers for the affected communities being organized. After the catastrophe, a reconstruction budget was allocated to organize mental health care centers to provide psychosocial support for communities affected by the 2007 Chūetsu offshore earthquake, the 2011 Great East Japan Earthquake, and the 2016 Kumamoto Earthquake. There were several major improvements in post-disaster mental health measures after the Great East Japan Earthquake. The Disaster Psychiatric Assistance Team system was organized after the earthquake to orchestrate disaster response related to the psychiatric health system and mental health of the affected communities. Special mental health care efforts were drawn to the communities affected by the nuclear power plant accident through Chemical, Biological, Radiological, Nuclear, and high yield Explosives, being succeeded by measures against the coronavirus pandemic. As another new movement after the Great East Japan Earthquake, the number of surveys involving communities affected by disasters has soared. More than 10 times the number of scientific publications were made in English during the decade following the Great East Japan Earthquake, compared with the previous decades. In this review, we examined the results and issues acquired in the 10 years since the Great East Japan Earthquake, proposing evidence-based disaster psychiatry as the direction of future mental health measures related to emergency preparedness and response.
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Affiliation(s)
- Yasuto Kunii
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Hitomi Usukura
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Kotaro Otsuka
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan.,Department of Disaster and Community Psychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Masaharu Maeda
- Department of Disaster Psychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.,Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan
| | - Hirooki Yabe
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.,Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Sho Takahashi
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Hirokazu Tachikawa
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Hiroaki Tomita
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
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