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1.
PLoS Med ; 21(4): e1004395, 2024 Apr.
Article En | MEDLINE | ID: mdl-38669277

BACKGROUND: Epidemiological findings regarding the association of particulate matter ≤2.5 µm (PM2.5) exposure with hypertensive disorders in pregnancy (HDP) are inconsistent; evidence for HDP risk related to PM2.5 components, mixture effects, and windows of susceptibility is limited. We aimed to investigate the relationships between HDP and exposure to PM2.5 during pregnancy. METHODS AND FINDINGS: A large retrospective cohort study was conducted among mothers with singleton pregnancies in Kaiser Permanente Southern California from 2008 to 2017. HDP were defined by International Classification of Diseases-9/10 (ICD-9/10) diagnostic codes and were classified into 2 subcategories based on the severity of HDP: gestational hypertension (GH) and preeclampsia and eclampsia (PE-E). Monthly averages of PM2.5 total mass and its constituents (i.e., sulfate, nitrate, ammonium, organic matter, and black carbon) were estimated using outputs from a fine-resolution geoscience-derived model. Multilevel Cox proportional hazard models were used to fit single-pollutant models; quantile g-computation approach was applied to estimate the joint effect of PM2.5 constituents. The distributed lag model was applied to estimate the association between monthly PM2.5 exposure and HDP risk. This study included 386,361 participants (30.3 ± 6.1 years) with 4.8% (17,977/373,905) GH and 5.0% (19,381/386,361) PE-E cases, respectively. In single-pollutant models, we observed increased relative risks for PE-E associated with exposures to PM2.5 total mass [adjusted hazard ratio (HR) per interquartile range: 1.07, 95% confidence interval (CI) [1.04, 1.10] p < 0.001], black carbon [HR = 1.12 (95% CI [1.08, 1.16] p < 0.001)] and organic matter [HR = 1.06 (95% CI [1.03, 1.09] p < 0.001)], but not for GH. The population attributable fraction for PE-E corresponding to the standards of the US Environmental Protection Agency (9 µg/m3) was 6.37%. In multi-pollutant models, the PM2.5 mixture was associated with an increased relative risk of PE-E ([HR = 1.05 (95% CI [1.03, 1.07] p < 0.001)], simultaneous increase in PM2.5 constituents of interest by a quartile) and PM2.5 black carbon gave the greatest contribution of the overall mixture effects (71%) among all individual constituents. The susceptible window is the late first trimester and second trimester. Furthermore, the risks of PE-E associated with PM2.5 exposure were significantly higher among Hispanic and African American mothers and mothers who live in low- to middle-income neighborhoods (p < 0.05 for Cochran's Q test). Study limitations include potential exposure misclassification solely based on residential outdoor air pollution, misclassification of disease status defined by ICD codes, the date of diagnosis not reflecting the actual time of onset, and lack of information on potential covariates and unmeasured factors for HDP. CONCLUSIONS: Our findings add to the literature on associations between air pollution exposure and HDP. To our knowledge, this is the first study reporting that specific air pollution components, mixture effects, and susceptible windows of PM2.5 may affect GH and PE-E differently.


Air Pollution , Hypertension, Pregnancy-Induced , Particulate Matter , Humans , Female , Pregnancy , Retrospective Studies , Particulate Matter/adverse effects , Particulate Matter/analysis , Hypertension, Pregnancy-Induced/epidemiology , Hypertension, Pregnancy-Induced/etiology , Adult , Air Pollution/adverse effects , California/epidemiology , Air Pollutants/adverse effects , Air Pollutants/analysis , Young Adult , Maternal Exposure/adverse effects , Risk Factors , Environmental Exposure/adverse effects
2.
Cancer Res ; 79(16): 4015-4025, 2019 08 15.
Article En | MEDLINE | ID: mdl-31266772

Cancer stem cells (CSC) maintain both undifferentiated self-renewing CSCs and differentiated, non-self-renewing non-CSCs through cellular division. However, molecular mechanisms that maintain self-renewal in CSCs versus non-CSCs are not yet clear. Here, we report that in a transgenic mouse model of MYC-induced T-cell leukemia, MYC, maintains self-renewal in Sca1+ CSCs versus Sca-1- non-CSCs. MYC preferentially bound to the promoter and activated hypoxia-inducible factor-2α (HIF2α) in Sca-1+ cells only. Furthermore, the reprogramming factors, Nanog and Sox2, facilitated MYC regulation of HIF2α in Sca-1+ versus Sca-1- cells. Reduced expression of HIF2α inhibited the self-renewal of Sca-1+ cells; this effect was blocked through suppression of ROS by N-acetyl cysteine or the knockdown of p53, Nanog, or Sox2. Similar results were seen in ABCG2+ CSCs versus ABCG2- non-CSCs from primary human T-cell lymphoma. Thus, MYC maintains self-renewal exclusively in CSCs by selectively binding to the promoter and activating the HIF2α stemness pathway. Identification of this stemness pathway as a unique CSC determinant may have significant therapeutic implications. SIGNIFICANCE: These findings show that the HIF2α stemness pathway maintains leukemic stem cells downstream of MYC in human and mouse T-cell leukemias. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/79/16/4015/F1.large.jpg.


Basic Helix-Loop-Helix Transcription Factors/metabolism , Nanog Homeobox Protein/metabolism , Neoplastic Stem Cells/pathology , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/pathology , Proto-Oncogene Proteins c-myc/genetics , SOXB1 Transcription Factors/metabolism , ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics , ATP Binding Cassette Transporter, Subfamily G, Member 2/metabolism , Animals , Antigens, Ly/genetics , Antigens, Ly/metabolism , Basic Helix-Loop-Helix Transcription Factors/genetics , Gene Expression Regulation, Neoplastic , Humans , Membrane Proteins/genetics , Membrane Proteins/metabolism , Mice, SCID , Mice, Transgenic , Nanog Homeobox Protein/genetics , Neoplasm Proteins/genetics , Neoplasm Proteins/metabolism , Neoplastic Stem Cells/metabolism , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/genetics , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/metabolism , Promoter Regions, Genetic , Proto-Oncogene Proteins c-myc/metabolism , Reactive Oxygen Species/metabolism , SOXB1 Transcription Factors/genetics , Xenograft Model Antitumor Assays
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