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Li J, Ding Y, Zhang J, Zhang Y, Cui Y, Zhang Y, Chang S, Chang Y, Gao G. Iron overload suppresses hippocampal neurogenesis in adult mice: Implication for iron dysregulation-linked neurological diseases. CNS Neurosci Ther 2024; 30:e14394. [PMID: 37545321 PMCID: PMC10848078 DOI: 10.1111/cns.14394] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 06/24/2023] [Accepted: 07/26/2023] [Indexed: 08/08/2023] Open
Abstract
AIMS Adult hippocampal neurogenesis is an important player in brain homeostasis and its impairment participates in neurological diseases. Iron overload has emerged as an irreversible factor of brain aging, and is also closely related to degenerative disorders, including cognitive dysfunction. However, whether brain iron overload alters hippocampal neurogenesis has not been reported. We investigated the effect of elevated iron content on adult hippocampal neurogenesis and explored the underlying mechanism. METHODS Mouse models with hippocampal iron overload were generated. Neurogenesis in hippocampus and expression levels of related molecules were assessed. RESULTS Iron accumulation in hippocampus remarkably impaired the differentiation of neural stem cells, resulting in a significant decrease in newborn neurons. The damage was possibly attributed to iron-induced downregulation of proprotein convertase furin and subsequently decreased maturation of brain-derived neurotrophic factor (BDNF), thus contributing to memory decline and anxiety-like behavior of mice. Supportively, knockdown of furin indeed suppressed hippocampal neurogenesis, while furin overexpression restored the impairment. CONCLUSION These findings demonstrated that iron overload damaged hippocampal neurogenesis likely via iron-furin-BDNF pathway. This study provides new insights into potential mechanisms on iron-induced neurotoxicity and the causes of neurogenesis injury and renders modulating iron homeostasis and furin expression as novel therapeutic strategies for treatment of neurological diseases.
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Affiliation(s)
- Jie Li
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Yiqian Ding
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Jianhua Zhang
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Yating Zhang
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Yiduo Cui
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Yi Zhang
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Shiyang Chang
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
- College of Basic MedicineHebei Medical UniversityShijiazhuangChina
| | - Yan‐Zhong Chang
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
| | - Guofen Gao
- Laboratory of Molecular Iron Metabolism, Key Laboratory of Molecular and Cellular Biology of the Ministry of Education, Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life SciencesHebei Normal UniversityShijiazhuangChina
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Qiu X, Li J, Pan F, Yang Y, Zhou W, Chen J, Wei N, Lu S, Weng X, Huang M, Wang J. Aberrant single-subject morphological brain networks in first-episode, treatment-naive adolescents with major depressive disorder. PSYCHORADIOLOGY 2023; 3:kkad017. [PMID: 38666133 PMCID: PMC10939346 DOI: 10.1093/psyrad/kkad017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 04/28/2024]
Abstract
Background Neuroimaging-based connectome studies have indicated that major depressive disorder (MDD) is associated with disrupted topological organization of large-scale brain networks. However, the disruptions and their clinical and cognitive relevance are not well established for morphological brain networks in adolescent MDD. Objective To investigate the topological alterations of single-subject morphological brain networks in adolescent MDD. Methods Twenty-five first-episode, treatment-naive adolescents with MDD and 19 healthy controls (HCs) underwent T1-weighted magnetic resonance imaging and a battery of neuropsychological tests. Single-subject morphological brain networks were constructed separately based on cortical thickness, fractal dimension, gyrification index, and sulcus depth, and topologically characterized by graph-based approaches. Between-group differences were inferred by permutation testing. For significant alterations, partial correlations were used to examine their associations with clinical and neuropsychological variables in the patients. Finally, a support vector machine was used to classify the patients from controls. Results Compared with the HCs, the patients exhibited topological alterations only in cortical thickness-based networks characterized by higher nodal centralities in parietal (left primary sensory cortex) but lower nodal centralities in temporal (left parabelt complex, right perirhinal ectorhinal cortex, right area PHT and right ventral visual complex) regions. Moreover, decreased nodal centralities of some temporal regions were correlated with cognitive dysfunction and clinical characteristics of the patients. These results were largely reproducible for binary and weighted network analyses. Finally, topological properties of the cortical thickness-based networks were able to distinguish the MDD adolescents from HCs with 87.6% accuracy. Conclusion Adolescent MDD is associated with disrupted topological organization of morphological brain networks, and the disruptions provide potential biomarkers for diagnosing and monitoring the disease.
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Affiliation(s)
- Xiaofan Qiu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Junle Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Fen Pan
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310013, China
- The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310013, China
| | - Yuping Yang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Weihua Zhou
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310013, China
- The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310013, China
| | - Jinkai Chen
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310013, China
- The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310013, China
| | - Ning Wei
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310013, China
- The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310013, China
| | - Shaojia Lu
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310013, China
- The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310013, China
| | - Xuchu Weng
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Guangzhou 510631, China
| | - Manli Huang
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310013, China
- The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310013, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Guangzhou 510631, China
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East P, Doom JR, Blanco E, Burrows R, Lozoff B, Gahagan S. Iron deficiency in infancy and neurocognitive and educational outcomes in young adulthood. Dev Psychol 2021; 57:962-975. [PMID: 34424013 PMCID: PMC8386013 DOI: 10.1037/dev0001030] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
This study examines the extent to which iron deficiency in infancy contributes to adverse neurocognitive and educational outcomes in young adulthood directly and indirectly, through its influence on verbal cognition and attention problems in childhood. Young adults (N = 1,000, M age = 21.3 years, 52% female; of Spanish or indigenous descent) from working-class families in Santiago, Chile, completed instruments assessing memory, processing speed, mental flexibility, and educational attainment. Iron status was assessed at ages 6, 12, and 18 months, and verbal intelligence, inattention, and sluggish cognitive tempo (SCT) symptoms were assessed at age 10. Results indicated that young adults who had iron-deficiency in infancy had poor executive control at age 21. Severity of iron deficiency during infancy was associated with lower verbal IQ and more frequent inattention and SCT symptoms in childhood, and with lower educational attainment in young adulthood through its effect on inattention. No additional indirect effects were found. Interventions directed toward improving cognitive and attention deficits linked to early-life iron deficiency appear warranted and could alter the course to adult functioning. Further research on the impact of such interventions would be helpful. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Patricia East
- Department of Pediatrics, University of California, San Diego
| | | | - Estela Blanco
- Department of Pediatrics, University of California, San Diego
| | - Raquel Burrows
- Institute of Nutrition and Food Technology, University of Chile
| | - Betsy Lozoff
- Department of Pediatrics, University of Michigan
| | - Sheila Gahagan
- Department of Pediatrics, University of California, San Diego
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Sensitive periods for psychosocial risk in childhood and adolescence and cardiometabolic outcomes in young adulthood. Dev Psychopathol 2021; 32:1864-1875. [PMID: 33427189 DOI: 10.1017/s0954579420001248] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Greater psychosocial risk in childhood and adolescence predicts poorer cardiometabolic outcomes in adulthood. We assessed whether the timing of psychosocial risk from infancy through adolescence predicts cardiometabolic outcomes in young adulthood. Young adults and their mothers participated in a longitudinal study beginning in infancy in Santiago, Chile (N = 1040). At infancy, 5 years, 10 years, and adolescence, mothers reported on depressive symptoms, stressful experiences, support for child development in the home, father absence, parental education, and socioeconomic status (SES) to create a psychosocial risk composite at each time point. Young adults (52.1% female; 21-27 years) provided fasting serum samples and participated in anthropometric and blood pressure (BP) assessments, including a dual-energy X-ray absorptiometry (DXA) scan for measuring body fat. Greater infant psychosocial risk was associated with a greater young adult metabolic syndrome score (β = 0.07, 95% confidence intervals (CI): 0.01 to 0.13, p = 0.02), a higher body mass index and waist circumference composite (β = 0.08, 95% CI: 0.03 to 0.13, p = 0.002), and a higher body fat (DXA) composite (β = 0.07, 95% CI: 0.01 to 0.12, p = 0.02). No psychosocial risk measure from any time point was associated with BP. Infant psychosocial risk predicted cardiometabolic outcomes in young adulthood better than psychosocial risk at 5 years, 10 years, or adolescence, mean of psychosocial risk from infancy through adolescence, and maximum of psychosocial risk at any one time. Consistent with the Developmental Origins of Health and Disease model, findings suggest that infancy is a sensitive period for psychosocial risk leading to poorer cardiometabolic outcomes in young adulthood.
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Yang W, Liu B, Gao R, Snetselaar LG, Strathearn L, Bao W. Association of Anemia with Neurodevelopmental Disorders in a Nationally Representative Sample of US Children. J Pediatr 2021; 228:183-189.e2. [PMID: 33035572 DOI: 10.1016/j.jpeds.2020.09.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 07/30/2020] [Accepted: 09/16/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To examine the associations of anemia with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and learning disability in US children. STUDY DESIGN We included children and adolescents aged 3-17 years from the National Health Interview Survey (NHIS), 1997-2018. Information about physician-diagnosed history of anemia, ASD, ADHD, and learning disability was reported by a parent or guardian. Multiple logistic regression with sample weights was used to estimate the ORs and 95% CIs of neurodevelopmental disorders according to the presence of anemia. RESULTS Of the total population of 213 893 children aged 3-17 years (mean age [SE], 10.01 [0.01] years), 2379 were reported to have a diagnosis of anemia, for a weighted prevalence of 1.06% (95% CI, 1.01-1.12). The prevalence of ASD was 1.94% (95% CI, 1.20-2.68) among children with anemia and 1.07% (95% CI, 1.01-1.14) among those without anemia. The corresponding prevalences were 12.24% (95% CI, 10.47-14.00) and 7.73% (95% CI, 7.58-7.88) for ADHD and 15.03% (95% CI, 13.08-16.99) and 7.75% (95% CI, 7.39-7.70) for learning disability, respectively. Compared with those without anemia, children with anemia were more likely to have neurodevelopmental disorders, with an aOR of 2.07 (95% CI, 1.39-3.08) for ASD, 1.84 (95% CI, 1.55-2.19) for ADHD, and 2.22 (95% CI, 1.90-2.60) for learning disability. CONCLUSIONS In a nationally representative sample of US children, we found significant associations between anemia and neurodevelopmental disorders including ASD, ADHD, and learning disability. Further investigation is warranted to assess the causality and elucidate the underlying mechanisms.
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Affiliation(s)
- Wenhan Yang
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA; Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Buyun Liu
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Rui Gao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA; Shenzhen Birth Cohort Study Center, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China
| | - Linda G Snetselaar
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Lane Strathearn
- Center for Disabilities and Development, University of Iowa Stead Family Children's Hospital, Iowa City, IA
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA.
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Black MM, Trude ACB, Lutter CK. All Children Thrive: Integration of Nutrition and Early Childhood Development. Annu Rev Nutr 2020; 40:375-406. [PMID: 32966185 DOI: 10.1146/annurev-nutr-120219-023757] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Building on the successes of child survival, we review the evidence needed to ensure both that children who survive also thrive and that recommendations promote equity, with no child left behind. To illustrate the critical roles played by nutrition and child development, we revise the Conceptual Framework for the Causes of Malnutrition and Death and the Nurturing Care Framework to create the Conceptual Framework of All Children Surviving and Thriving. The revised framework highlights the goals of child growth and development, supported by health, nutrition, learning, responsive caregiving, and security and safety. We review the challenges posed by undernutrition, stunting, micronutrient deficiencies, overweight, and children not reaching their developmental potential. Although integrated nutrition-childhood development interventions have shown promising effects, most have not been implemented at scale. Implementation science that investigates how and why integrated interventions work in real life, along with the acceptability, feasibility, cost, coverage, and sustainability of the interventions, is needed to ensure equity for all children thriving.
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Affiliation(s)
- Maureen M Black
- RTI International, Research Triangle Park, North Carolina 27709, USA.,Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA;
| | - Angela C B Trude
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA;
| | - Chessa K Lutter
- RTI International, Research Triangle Park, North Carolina 27709, USA.,Department of Family Science, University of Maryland School of Public Health, College Park, Maryland 20742, USA
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Pan F, Xu Y, Zhou W, Chen J, Wei N, Lu S, Shang D, Wang J, Huang M. Disrupted intrinsic functional connectivity of the cognitive control network underlies disease severity and executive dysfunction in first-episode, treatment-naive adolescent depression. J Affect Disord 2020; 264:455-463. [PMID: 31780136 DOI: 10.1016/j.jad.2019.11.076] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 10/01/2019] [Accepted: 11/12/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Previous neuroimaging studies have showed that imbalanced functional integration of distributed large-scale brain networks is associated with pathophysiological characteristics of major depressive disorder (MDD). However, the association between network integrative disturbances and clinical features and cognitive functions remains largely unclear in adolescent MDD. This study investigated the neural correlates of abnormal functional connectivity networks with clinical and cognitive characteristics in adolescent MDD. METHODS Twenty-eight first-episode, treatment-naive adolescents with MDD and 24 well-matched healthy controls (HCs) underwent functional magnetic resonance imaging (fMRI) and a battery of cognitive tests. A seed-based functional connectivity (FC) approach was used to depict connectivity patterns of the cognitive control network (CCN), affective network (AN) and default mode network (DMN), whose between-group differences were correlated with clinical variables and cognitive functions in the patients. RESULTS Compared with the HCs, the MDD patients exhibited impaired executive functions. The FC analysis revealed lower CCN FC with the temporal, parietal and frontal regions and the limbic system, higher AN FC with the temporal and occipital regions and the cerebellum, and lower DMN FC with the cerebellum and insula. Interestingly, the decreased CCN FC was related to disease severity (with the inferior frontal gyrus) and executive dysfunctions (with the middle cingulate gyrus and supramarginal gyrus) in the patients. LIMITATIONS The main limitations were the relatively small sample size and suboptimal imaging parameters. CONCLUSION Functional alteration of CCN during the developmentally sensitive period may be important in the neurobiology of adolescent MDD.
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Affiliation(s)
- Fen Pan
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Yi Xu
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Weihua Zhou
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Jinkai Chen
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Ning Wei
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Shaojia Lu
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Desheng Shang
- Department of Radiology, First Affiliated Hospital, College of Medicine, Zhejiang University, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.
| | - Manli Huang
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China.
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