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Wu M, Davis JD, Zhao C, Daley T, Oliver KE. Racial inequities and rare CFTR variants: Impact on cystic fibrosis diagnosis and treatment. J Clin Transl Endocrinol 2024; 36:100344. [PMID: 38765466 PMCID: PMC11099334 DOI: 10.1016/j.jcte.2024.100344] [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: 12/14/2023] [Revised: 02/21/2024] [Accepted: 04/14/2024] [Indexed: 05/22/2024] Open
Abstract
Cystic fibrosis (CF) has been traditionally viewed as a disease that affects White individuals. However, CF occurs among all races, ethnicities, and geographic ancestries. The disorder results from mutations in the CF transmembrane conductance regulator (CFTR). Varying incidence of CF is reported among Black, Indigenous, and People of Color (BIPOC), who typically exhibit worse clinical outcomes. These populations are more likely to carry rare CFTR variants omitted from newborn screening panels, leading to disparities in care such as delayed diagnosis and treatment. In this study, we present a case-in-point describing an individual of Gambian descent identified with CF. Patient genotype includes a premature termination codon (PTC) (c.2353C>T) and previously undescribed single nucleotide deletion (c.1970delG), arguing against effectiveness of currently available CFTR modulator-based interventions. Strategies for overcoming these two variants will likely include combinations of PTC suppressors, nonsense mediated decay inhibitors, and/or alternative approaches (e.g. gene therapy). Investigations such as the present study establish a foundation from which therapeutic treatments may be developed. Importantly, c.2353C>T and c.1970delG were not detected in the patient by traditional CFTR screening panels, which include an implicit racial and ethnic diagnostic bias as these tests are comprised of mutations largely observed in people of European ancestry. We suggest that next-generation sequencing of CFTR should be utilized to confirm or exclude a CF diagnosis, in order to equitably serve BIPOC individuals. Additional epidemiologic data, basic science investigations, and translational work are imperative for improving understanding of disease prevalence and progression, CFTR variant frequency, genotype-phenotype correlation, pharmacologic responsiveness, and personalized medicine approaches for patients with African ancestry and other historically understudied geographic lineages.
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Affiliation(s)
- Malinda Wu
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
- Pediatric Institute, Children’s Healthcare of Atlanta, Atlanta, GA, USA
| | - Jacob D. Davis
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Conan Zhao
- Interdisciplinary Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Tanicia Daley
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
- Pediatric Institute, Children’s Healthcare of Atlanta, Atlanta, GA, USA
| | - Kathryn E. Oliver
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
- Pediatric Institute, Children’s Healthcare of Atlanta, Atlanta, GA, USA
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Ahuja M, Okoro J, Frimpong E, Doshi RP, Wani RJ. Feeling Not Wanted/Loved and Depression: Does Gender Matter? Psychol Rep 2023; 126:712-726. [PMID: 34969338 DOI: 10.1177/00332941211062822] [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: 11/17/2022]
Abstract
Depression affects over 17 million American adults yearly and has been identified as the leading cause of disability in people between the ages of 15 and 44 years. There is evidence that feeling neglect or a lack of parental attachment during childhood is associated with depression. One construct that has been overlooked is love from a parent. The purpose of this study was to analyze the association between individuals who felt not wanted/loved during adolescence and lifetime depression and to examine this association by gender. We examined 5114 participants aged 24-32 years at Wave IV of the National Longitudinal Study of Adolescent Health (Add Health) public use dataset. We used logistic regression analysis to determine the association between an individual feeling not wanted/loved by their parent/caregiver prior to age 18, covariates, and lifetime depression. We then stratified by gender and ran logistic models for both men and women separately. Overall, 16.2% (n = 827) reported lifetime depression diagnosis, while 16.5% of the participants reported feeling not wanted/loved "often," while 29.8% reported it as "sometimes." Feeling not wanted/loved "often" was associated with higher odds of depression (AOR = 3.00; 95% CI, 2.45-3.66; p < .001) versus "sometimes" (AOR = 1.59; 95% CI, 1.31-1.90; p < .001). When stratified by gender, feeling not loved/wanted was associated with depression among both men (AOR = 3.70; 95% CI, 2.60-5.25; p < .001) and women (AOR = 2.73; 95% CI, 2.13-3.48; p < .001). Feeling not loved or wanted by a parent/caregiver during adolescence has serious implications, for both men and women. Future studies should further examine this construct and identify family-based interventions that focus on parent/caregiver and child relationships.
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Affiliation(s)
- Manik Ahuja
- College of Public Health, 4154East Tennessee State University, Johnson City, TN, USA
| | - Joy Okoro
- College of Public Health, 4154East Tennessee State University, Johnson City, TN, USA
| | - Esther Frimpong
- College of Public Health, 4154East Tennessee State University, Johnson City, TN, USA
| | - Riddhi P Doshi
- Center for Population Health, 7712University of Connecticut Health Center, Farmington CT, USA
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Remes O, Mendes JF, Templeton P. Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature. Brain Sci 2021; 11:1633. [PMID: 34942936 PMCID: PMC8699555 DOI: 10.3390/brainsci11121633] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 12/15/2022] Open
Abstract
Depression is one of the leading causes of disability, and, if left unmanaged, it can increase the risk for suicide. The evidence base on the determinants of depression is fragmented, which makes the interpretation of the results across studies difficult. The objective of this study is to conduct a thorough synthesis of the literature assessing the biological, psychological, and social determinants of depression in order to piece together the puzzle of the key factors that are related to this condition. Titles and abstracts published between 2017 and 2020 were identified in PubMed, as well as Medline, Scopus, and PsycInfo. Key words relating to biological, social, and psychological determinants as well as depression were applied to the databases, and the screening and data charting of the documents took place. We included 470 documents in this literature review. The findings showed that there are a plethora of risk and protective factors (relating to biological, psychological, and social determinants) that are related to depression; these determinants are interlinked and influence depression outcomes through a web of causation. In this paper, we describe and present the vast, fragmented, and complex literature related to this topic. This review may be used to guide practice, public health efforts, policy, and research related to mental health and, specifically, depression.
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Affiliation(s)
- Olivia Remes
- Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK
| | | | - Peter Templeton
- IfM Engage Limited, Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK;
- The William Templeton Foundation for Young People’s Mental Health (YPMH), Cambridge CB2 0AH, UK
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Lopez M, Ruiz MO, Rovnaghi CR, Tam GKY, Hiscox J, Gotlib IH, Barr DA, Carrion VG, Anand KJS. The social ecology of childhood and early life adversity. Pediatr Res 2021; 89:353-367. [PMID: 33462396 PMCID: PMC7897233 DOI: 10.1038/s41390-020-01264-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/14/2020] [Accepted: 10/12/2020] [Indexed: 01/30/2023]
Abstract
An increasing prevalence of early childhood adversity has reached epidemic proportions, creating a public health crisis. Rather than focusing only on adverse childhood experiences (ACEs) as the main lens for understanding early childhood experiences, detailed assessments of a child's social ecology are required to assess "early life adversity." These should also include the role of positive experiences, social relationships, and resilience-promoting factors. Comprehensive assessments of a child's physical and social ecology not only require parent/caregiver surveys and clinical observations, but also include measurements of the child's physiology using biomarkers. We identify cortisol as a stress biomarker and posit that hair cortisol concentrations represent a summative and chronological record of children's exposure to adverse experiences and other contextual stressors. Future research should use a social-ecological approach to investigate the robust interactions among adverse conditions, protective factors, genetic and epigenetic influences, environmental exposures, and social policy, within the context of a child's developmental stages. These contribute to their physical health, psychiatric conditions, cognitive/executive, social, and psychological functions, lifestyle choices, and socioeconomic outcomes. Such studies must inform preventive measures, therapeutic interventions, advocacy efforts, social policy changes, and public awareness campaigns to address early life adversities and their enduring effects on human potential. IMPACT: Current research does not support the practice of using ACEs as the main lens for understanding early childhood experiences. The social ecology of early childhood provides a contextual framework for evaluating the long-term health consequences of early life adversity. Comprehensive assessments reinforced with physiological measures and/or selected biomarkers, such as hair cortisol concentrations to assess early life stress, may provide critical insights into the relationships between early adversity, stress axis regulation, and subsequent health outcomes.
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Affiliation(s)
- Marcela Lopez
- Pain/Stress Neurobiology Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine
| | - Monica O. Ruiz
- Pain/Stress Neurobiology Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine,Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Cynthia R. Rovnaghi
- Pain/Stress Neurobiology Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine
| | - Grace K-Y. Tam
- Pain/Stress Neurobiology Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine
| | - Jitka Hiscox
- Pain/Stress Neurobiology Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine,Department of Civil Engineering, Stanford School of Engineering, Stanford, CA
| | - Ian H. Gotlib
- Department of Psychology, Stanford University School of Humanities & Sciences, Stanford, CA
| | - Donald A. Barr
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA,Stanford University Graduate School of Education, Stanford, CA
| | - Victor G. Carrion
- Department of Psychiatry (Child and Adolescent Psychiatry), Clinical & Translational Neurosciences Incubator, Stanford University School of Medicine, Stanford, CA
| | - Kanwaljeet J. S. Anand
- Pain/Stress Neurobiology Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine,Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
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