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Schilling K, Glabonjat RA, Balac O, Gálvez-Fernández M, Domingo-Relloso A, Slavkovich V, Goldsmith J, Jones MR, Sanchez TR, Navas-Acien A. Method validation for (ultra)-trace element concentrations in urine for small sample volumes in large epidemiological studies: application to the population-based epidemiological multi-ethnic study of atherosclerosis (MESA). Anal Methods 2024; 16:214-226. [PMID: 38099473 DOI: 10.1039/d3ay01605f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Analysis of essential and non-essential trace elements in urine has emerged as a valuable tool for assessing occupational and environmental exposures, diagnosing nutritional status and guiding public health and health care intervention. Our study focused on the analysis of trace elements in urine samples from the Multi-Ethnic Study of Atherosclerosis (MESA), a precious resource for health research with limited sample volumes. Here we provide a comprehensive and sensitive method for the analysis of 18 elements using only 100 μL of urine. Method sensitivity, accuracy, and precision were assessed. The analysis by inductively coupled plasma mass spectrometry (ICP-MS) included the measurement of antimony (Sb), arsenic (As), barium (Ba), cadmium (Cd), cesium (Cs), cobalt (Co), copper (Cu), gadolinium (Gd), lead (Pb), manganese (Mn), molybdenum (Mo), nickel (Ni), selenium (Se), strontium (Sr), thallium (Tl), tungsten (W), uranium (U), and zinc (Zn). Further, we reported urinary trace element concentrations by covariates including gender, ethnicity/race, smoking and location. The results showed good accuracy and sensitivity of the ICP-MS method with the limit of detections rangings between 0.001 μg L-1 for U to 6.2 μg L-1 for Zn. Intra-day precision for MESA urine analysis varied between 1.4% for Mo and 26% for Mn (average 6.4% for all elements). The average inter-day precision for most elements was <8.5% except for Gd (20%), U (16%) and Mn (19%) due to very low urinary concentrations. Urinary mean concentrations of non-essential elements followed the order of Sr > As > Cs > Ni > Ba > Pb > Cd > Gd > Tl > W > U. The order of urinary mean concentrations for essential trace elements was Zn > Se > Mo > Cu > Co > Mn. Non-adjusted mean concentration of non-essential trace elements in urine from MESA participants follow the order Sr > As > Cs > Ni > Ba > Pb > Cd > Gd > Tl > W > U. The unadjusted urinary mean concentrations of essential trace elements decrease from Zn > Se > Mo > Cu > Co > Mn.
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Affiliation(s)
- Kathrin Schilling
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Ronald A Glabonjat
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Olgica Balac
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Marta Gálvez-Fernández
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Arce Domingo-Relloso
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Vesna Slavkovich
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Jeff Goldsmith
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tiffany R Sanchez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
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McGraw KE, Schilling K, Glabonjat RA, Galvez-Fernandez M, Domingo-Relloso A, Martinez-Morata I, Jones MR, Post WS, Kaufman J, Tellez-Plaza M, Valeri L, Brown ER, Kronmal RA, Barr GR, Shea S, Navas-Acien A, Sanchez TR. Urinary Metal Levels and Coronary Artery Calcification: Longitudinal Evidence in the Multi-Ethnic Study of Atherosclerosis (MESA). medRxiv 2023:2023.10.31.23297878. [PMID: 37961623 PMCID: PMC10635251 DOI: 10.1101/2023.10.31.23297878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Objective Growing evidence indicates that exposure to metals are risk factors for cardiovascular disease (CVD). We hypothesized that higher urinary levels of metals with prior evidence of an association with CVD, including non-essential (cadmium , tungsten, and uranium) and essential (cobalt, copper, and zinc) metals are associated with baseline and rate of change of coronary artery calcium (CAC) progression, a subclinical marker of atherosclerotic CVD. Methods We analyzed data from 6,418 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) with spot urinary metal levels at baseline (2000-2002) and 1-4 repeated measures of spatially weighted coronary calcium score (SWCS) over a ten-year period. SWCS is a unitless measure of CAC highly correlated to the Agatston score but with numerical values assigned to individuals with Agatston score=0. We used linear mixed effect models to assess the association of baseline urinary metal levels with baseline SWCS, annual change in SWCS, and SWCS over ten years of follow-up. Urinary metals (adjusted to μg/g creatinine) and SWCS were log transformed. Models were progressively adjusted for baseline sociodemographic factors, estimated glomerular filtration rate, lifestyle factors, and clinical factors. Results At baseline, the median and interquartile range (25th, 75th) of SWCS was 6.3 (0.7, 58.2). For urinary cadmium, the fully adjusted geometric mean ratio (GMR) (95%Cl) of SWCS comparing the highest to the lowest quartile was 1.51 (1.32, 1.74) at baseline and 1.75 (1.47, 2.07) at ten years of follow-up. For urinary tungsten, uranium, and cobalt the corresponding GMRs at ten years of follow-up were 1.45 (1.23, 1.71), 1.39 (1.17, 1.64), and 1.47 (1.25, 1.74), respectively. For copper and zinc, the association was attenuated with adjustment for clinical risk factors; GMRs at ten years of follow-up before and after adjustment for clinical risk factors were 1.55 (1.30, 1.84) and 1.33 (1.12, 1.58), respectively, for copper and 1.85 (1.56, 2.19) and 1.57 (1.33, 1.85) for zinc. Conclusion Higher levels of cadmium, tungsten, uranium, cobalt, copper, and zinc, as measured in urine, were associated with subclinical CVD at baseline and at follow-up. These findings support the hypothesis that metals are pro-atherogenic factors.
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Affiliation(s)
- Katlyn E. McGraw
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
| | - Kathrin Schilling
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
| | - Ronald A. Glabonjat
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
| | - Marta Galvez-Fernandez
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
| | - Arce Domingo-Relloso
- Columbia University Mailman School of Public Health, Department of Biostatistics, 722 W 168th St, New York, NY 10032
| | - Irene Martinez-Morata
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
| | - Miranda R. Jones
- Johns Hopkins University School of Medicine, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Baltimore MD 21057
- Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street. Baltimore MD 212057
| | - Wendy S. Post
- Johns Hopkins University School of Medicine, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Baltimore MD 21057
- Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street. Baltimore MD 212057
| | - Joel Kaufman
- University of Washington, Department of Medicine
| | - Maria Tellez-Plaza
- National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain, Department of Chronic Diseases Epidemiology
| | - Linda Valeri
- Columbia University Mailman School of Public Health, Department of Biostatistics, 722 W 168th St, New York, NY 10032
| | - Elizabeth R. Brown
- Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division
- University of Washington, Department of Biostatistics
| | | | - Graham R. Barr
- Columbia University Irving Medical Center, Departments of Medicine and Epidemiology
| | - Steven Shea
- Columbia University Irving Medical Center, Departments of Medicine and Epidemiology
| | - Ana Navas-Acien
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
| | - Tiffany R. Sanchez
- Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
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Deng Z, Jones MR, Wolff AC, Visvanathan K. Evaluation of Predict, a prognostic risk tool, after diagnosis of a second breast cancer. JNCI Cancer Spectr 2023; 7:pkad081. [PMID: 37773987 PMCID: PMC10660126 DOI: 10.1093/jncics/pkad081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/19/2023] [Accepted: 09/25/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND The UK National Health Service's Predict is a clinical tool widely used to estimate the prognosis of early-stage breast cancer. The performance of Predict for a second primary breast cancer is unknown. METHODS Women 18 years of age or older diagnosed with a first or second invasive breast cancer between 2000 and 2013 and followed for at least 5 years were identified from the US Surveillance, Epidemiology, and End Results (SEER) database. Model calibration of Predict was evaluated by comparing predicted and observed 5-year breast cancer-specific mortality separately by estrogen receptor status for first vs second breast cancer. Receiver operating characteristic curves and areas under the curve were used to assess model discrimination. Model performance was also evaluated for various races and ethnicities. RESULTS The study population included 6729 women diagnosed with a second breast cancer and 357 204 women with a first breast cancer. Overall, Predict demonstrated good discrimination for first and second breast cancers (areas under the curve ranging from 0.73 to 0.82). Predict statistically significantly underestimated 5-year breast cancer mortality for second estrogen receptor-positive breast cancers (predicted-observed = ‒6.24%, 95% CI = ‒6.96% to ‒5.49%). Among women with a first estrogen receptor-positive cancer, model calibration was good (predicted-observed = ‒0.22%, 95% CI = ‒0.29% to ‒0.15%), except in non-Hispanic Black women (predicted-observed = ‒2.33%, 95% CI = ‒2.65% to ‒2.01%) and women 80 years of age or older (predicted-observed = ‒3.75%, 95% CI = ‒4.12% to ‒3.41%). Predict performed well for second estrogen receptor-negative cancers overall (predicted-observed = ‒1.69%, 95% CI = ‒3.99% to 0.16%) but underestimated mortality among those who had previously received chemotherapy or had a first cancer with more aggressive tumor characteristics. In contrast, Predict overestimated mortality for first estrogen receptor-negative cancers (predicted-observed = 4.54%, 95% CI = 4.27% to 4.86%). CONCLUSION The Predict tool underestimated 5-year mortality after a second estrogen receptor-positive breast cancer and in certain subgroups of women with a second estrogen receptor-negative breast cancer.
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Affiliation(s)
| | - Miranda R Jones
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Oncology, Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Antonio C Wolff
- Department of Oncology, Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Oncology, Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Lamas GA, Bhatnagar A, Jones MR, Mann KK, Nasir K, Tellez-Plaza M, Ujueta F, Navas-Acien A. Contaminant Metals as Cardiovascular Risk Factors: A Scientific Statement From the American Heart Association. J Am Heart Assoc 2023:e029852. [PMID: 37306302 DOI: 10.1161/jaha.123.029852] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Exposure to environmental pollutants is linked to increased risk of cardiovascular disease. Beyond the extensive evidence for particulate air pollution, accumulating evidence supports that exposure to nonessential metals such as lead, cadmium, and arsenic is a significant contributor to cardiovascular disease worldwide. Humans are exposed to metals through air, water, soil, and food and extensive industrial and public use. Contaminant metals interfere with critical intracellular reactions and functions leading to oxidative stress and chronic inflammation that result in endothelial dysfunction, hypertension, epigenetic dysregulation, dyslipidemia, and changes in myocardial excitation and contractile function. Lead, cadmium, and arsenic have been linked to subclinical atherosclerosis, coronary artery stenosis, and calcification as well as to increased risk of ischemic heart disease and stroke, left ventricular hypertrophy and heart failure, and peripheral artery disease. Epidemiological studies show that exposure to lead, cadmium, or arsenic is associated with cardiovascular death mostly attributable to ischemic heart disease. Public health measures reducing metal exposure are associated with reductions in cardiovascular disease death. Populations of color and low socioeconomic means are more commonly exposed to metals and therefore at greater risk of metal-induced cardiovascular disease. Together with strengthening public health measures to prevent metal exposures, development of more sensitive and selective measurement modalities, clinical monitoring of metal exposures, and the development of metal chelation therapies could further diminish the burden of cardiovascular disease attributable to metal exposure.
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Besser LM, Meyer OL, Jones MR, Tran D, Booker M, Mitsova D, Peterson R, Galvin JE, Bateman JR, Hayden KM, Hughes TM. Neighborhood segregation and cognitive change: Multi-Ethnic Study of Atherosclerosis. Alzheimers Dement 2023; 19:1143-1151. [PMID: 35869977 PMCID: PMC9868187 DOI: 10.1002/alz.12705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/28/2022] [Accepted: 04/29/2022] [Indexed: 01/25/2023]
Abstract
INTRODUCTION We investigated associations between neighborhood racial/ethnic segregation and cognitive change. METHODS We used data (n = 1712) from the Multi-Ethnic Study of Atherosclerosis. Racial/ethnic segregation was assessed using Getis-Ord (Gi*) z-scores based on American Community Survey Census tract data (higher Gi* = greater spatial clustering of participant's race/ethnicity). Global cognition and processing speed were assessed twice, 6 years apart. Adjusted multilevel linear regression tested associations between Gi* z-scores and cognition. Effect modification by race/ethnicity, income, education, neighborhood socioeconomic status, and neighborhood social support was tested. RESULTS Participants were on average 67 years old; 43% were White, 11% Chinese, 29% African American/Black, 17% Hispanic; 40% had high neighborhood segregation (Gi* > 1.96). African American/Black participants with greater neighborhood segregation had greater processing speed decline in stratified analyses, but no interactions were significant. DISCUSSION Segregation was associated with greater processing speed declines among African American/Black participants. Additional follow-ups and comprehensive cognitive batteries may further elucidate these findings. HIGHLIGHTS A study of neighborhood racial/ethnic segregation and change in cognition. Study was based on a racially and geographically diverse, population-based cohort of older adults. Racial/ethnic segregation (clustering) was measured by the Getis-ord (Gi*) statistic. We saw faster processing speed decline among Black individuals in segregated neighborhoods.
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Affiliation(s)
- Lilah M. Besser
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami Miller School of Medicine; Boca Raton, FL
| | - Oanh L. Meyer
- Department of Neurology, University of California, Davis, School of Medicine, Sacramento, CA 95817, US
| | - Miranda R. Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, US
| | - Duyen Tran
- Departments of Neurology and Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA 95817, US
| | - Michaela Booker
- School of Medicine, University of California, Davis, Sacramento, CA 95817, US
| | - Diana Mitsova
- Department of Urban and Regional Planning and Institute for Human Health and Disease Intervention, Florida Atlantic University, Boca Raton, FL 33431, US
| | - Rachel Peterson
- Department of Public Health Sciences, University of California, Davis, Sacramento, CA 95616, US
| | - James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, Miller School of Medicine, University of Miami, Boca Raton, FL, US
| | - James R. Bateman
- Departments of Neurology and Psychiatry and Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, US
| | - Kathleen M. Hayden
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, US
| | - Timothy M. Hughes
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, US
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Titmuss E, Milne K, Jones MR, Ng T, Topham JT, Brown SD, Schaeffer DF, Kalloger S, Wilson D, Corbett RD, Williamson LM, Mungall K, Mungall AJ, Holt RA, Nelson BH, Jones SJM, Laskin J, Lim HJ, Marra MA. Immune Activation following Irbesartan Treatment in a Colorectal Cancer Patient: A Case Study. Int J Mol Sci 2023; 24:ijms24065869. [PMID: 36982943 PMCID: PMC10051648 DOI: 10.3390/ijms24065869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
Colorectal cancers are one of the most prevalent tumour types worldwide and, despite the emergence of targeted and biologic therapies, have among the highest mortality rates. The Personalized OncoGenomics (POG) program at BC Cancer performs whole genome and transcriptome analysis (WGTA) to identify specific alterations in an individual's cancer that may be most effectively targeted. Informed using WGTA, a patient with advanced mismatch repair-deficient colorectal cancer was treated with the antihypertensive drug irbesartan and experienced a profound and durable response. We describe the subsequent relapse of this patient and potential mechanisms of response using WGTA and multiplex immunohistochemistry (m-IHC) profiling of biopsies before and after treatment from the same metastatic site of the L3 spine. We did not observe marked differences in the genomic landscape before and after treatment. Analyses revealed an increase in immune signalling and infiltrating immune cells, particularly CD8+ T cells, in the relapsed tumour. These results indicate that the observed anti-tumour response to irbesartan may have been due to an activated immune response. Determining whether there may be other cancer contexts in which irbesartan may be similarly valuable will require additional studies.
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Affiliation(s)
- E Titmuss
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - K Milne
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
| | - M R Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - T Ng
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z7, Canada
| | - J T Topham
- Pancreas Centre BC, Vancouver, BC V5Z 1G1, Canada
| | - S D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | | | - S Kalloger
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z7, Canada
| | - D Wilson
- Department of Medical Oncology, BC Cancer, Vancouver, BC V5Z 4E6, Canada
| | - R D Corbett
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - L M Williamson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - K Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - A J Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - R A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
| | - B H Nelson
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
| | - S J M Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - J Laskin
- Department of Medical Oncology, BC Cancer, Vancouver, BC V5Z 4E6, Canada
| | - H J Lim
- Department of Medical Oncology, BC Cancer, Vancouver, BC V5Z 4E6, Canada
| | - M A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
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Deng Z, Jones MR, Wang MC, Wolff AC, Visvanathan K. Racial and ethnic disparities in mortality among breast cancer survivors after a second malignancy. J Natl Cancer Inst 2023; 115:279-287. [PMID: 36529890 PMCID: PMC9996210 DOI: 10.1093/jnci/djac220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/29/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Racial and ethnic differences in survival after a first cancer are well established but have not been examined after a second primary cancer (SPC) despite the increasing incidence among survivors. METHODS We examined 39 029 female breast cancer survivors who developed an SPC between 2000 and 2014 in the Surveillance, Epidemiology, and End Results 18 database. Multivariable Cox proportional hazards regression for competing risks data was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for cancer and cardiovascular disease mortality after SPCs comparing Hispanic, Non-Hispanic Asian, and Non-Hispanic Black survivors with Non-Hispanic White survivors. Models were adjusted for sociodemographics, tumor characteristics, and treatments of the first and second cancer. Analyses were stratified by SPC type. RESULTS During 17 years of follow-up, there were 15 117 deaths after SPCs. The risk of cancer death was 12% higher among Non-Hispanic Black survivors (HR = 1.12, 95% CI = 1.05 to 1.19) and 8% higher among Hispanic survivors (HR = 1.08, 95% CI = 1.00 to 1.16) compared with Non-Hispanic White survivors. In subgroup analyses, the strongest associations were observed among Non-Hispanic Black survivors with a second breast or uterine cancer and among Hispanic survivors with a second breast cancer. Non-Hispanic Black survivors also experienced a 44% higher risk of cardiovascular disease death after SPC diagnosis than Non-Hispanic White survivors (HR = 1.44, 95% CI = 1.20 to 1.74). CONCLUSIONS Higher cancer mortality among Non-Hispanic Black and Hispanic survivors and higher cardiovascular mortality among Non-Hispanic Black survivors exist among women who survive a first breast cancer to develop an SPC. Studies focused on identifying the contributors to these disparities are needed to enable implementation of effective mitigation strategies.
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Affiliation(s)
- Zhengyi Deng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Oncology, Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Mei-Cheng Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Antonio C Wolff
- Department of Oncology, Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Oncology, Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Deng Z, Jones MR, Wang MC, Visvanathan K. Mortality after second malignancy in breast cancer survivors compared to a first primary cancer: a nationwide longitudinal cohort study. NPJ Breast Cancer 2022; 8:82. [PMID: 35835760 PMCID: PMC9283416 DOI: 10.1038/s41523-022-00447-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 06/13/2022] [Indexed: 11/17/2022] Open
Abstract
Limited information exists about survival outcomes after second primary cancers (SPCs) among breast cancer survivors. Studies suggest that mortality after certain SPCs may be higher than mortality after first primary cancers (FPCs) of the same type. A cohort study was conducted among 63,424 US women using the Surveillance, Epidemiology, and End Results 18 database (2000–2016) to compare mortality after a SPC among breast cancer survivors to mortality among women after a FPC using Cox proportional hazard regression. Propensity scores were used to match survivors with SPCs to women with FPCs 1:1 based on cancer type and prognostic factors. During a median follow-up of 42 months, 11,532 cancer deaths occurred after SPCs among survivors compared to 9305 deaths after FPCs. Cumulative cancer mortality was 44.7% for survivors with SPCs and 35.2% for women with FPCs. Survivors with SPCs had higher risk of cancer death (hazard ratio (HR): 1.27, 95% CI: 1.23–1.30) and death overall (HR: 1.18, 95% CI: 1.15–1.21) than women with FPCs. Increased risk of cancer death after SPCs compared to FPCs was observed for cancer in breast, lung, colon and/or rectum, uterus, lymphoma, melanoma, thyroid, and leukemia. Estrogen receptor status and treatment of the prior breast cancer as well as time between prior breast cancer and SPC significantly modified the mortality difference between women with SPC and FPC. A more tailored approach to early detection and treatment could improve outcomes from second cancer in breast cancer survivors.
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Affiliation(s)
- Zhengyi Deng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Division of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Mei-Cheng Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. .,Division of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA. .,Women's Malignancies Program, Sidney Kimmel Comprehensive Cancer at Johns Hopkins, Baltimore, MD, USA.
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9
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Pleasance E, Bohm A, Williamson LM, Nelson JMT, Shen Y, Bonakdar M, Titmuss E, Csizmok V, Wee K, Hosseinzadeh S, Grisdale CJ, Reisle C, Taylor GA, Lewis E, Jones MR, Bleile D, Sadeghi S, Zhang W, Davies A, Pellegrini B, Wong T, Bowlby R, Chan SK, Mungall KL, Chuah E, Mungall AJ, Moore RA, Zhao Y, Deol B, Fisic A, Fok A, Regier DA, Weymann D, Schaeffer DF, Young S, Yip S, Schrader K, Levasseur N, Taylor SK, Feng X, Tinker A, Savage KJ, Chia S, Gelmon K, Sun S, Lim H, Renouf DJ, Jones SJM, Marra MA, Laskin J. Whole genome and transcriptome analysis enhances precision cancer treatment options. Ann Oncol 2022; 33:939-949. [PMID: 35691590 DOI: 10.1016/j.annonc.2022.05.522] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/03/2022] [Accepted: 05/31/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Recent advances are enabling delivery of precision genomic medicine to cancer clinics. While the majority of approaches profile panels of selected genes or hotspot regions, comprehensive data provided by whole genome and transcriptome sequencing and analysis (WGTA) presents an opportunity to align a much larger proportion of patients to therapies. PATIENTS AND METHODS Samples from 570 patients with advanced or metastatic cancer of diverse types enrolled in the Personalized OncoGenomics (POG) program underwent WGTA. DNA-based data, including mutations, copy number, and mutation signatures, were combined with RNA-based data, including gene expression and fusions, to generate comprehensive WGTA profiles. A multidisciplinary molecular tumour board used WGTA profiles to identify and prioritize clinically actionable alterations and inform therapy. Patient responses to WGTA-informed therapies were collected. RESULTS Clinically actionable targets were identified for 83% of patients, 37% of whom received WGTA-informed treatments. RNA expression data were particularly informative, contributing to 67% of WGTA-informed treatments; 25% of treatments were informed by RNA expression alone. Of a total 248 WGTA-informed treatments, 46% resulted in clinical benefit. RNA expression data were comparable to DNA-based mutation and copy number data in aligning to clinically beneficial treatments. Genome signatures also guided therapeutics including platinum, PARP inhibitors, and immunotherapies. Patients accessed WGTA-informed treatments through clinical trials (19%), off-label use (35%), and as standard therapies (46%) including those which would not otherwise have been the next choice of therapy, demonstrating the utility of genomic information to direct use of chemotherapies as well as targeted therapies. CONCLUSIONS Integrating RNA expression and genome data illuminated treatment options that resulted in 46% of treated patients experiencing positive clinical benefit, supporting the use of comprehensive WGTA profiling in clinical cancer care. CLINICAL TRIAL NUMBER NCT02155621.
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Affiliation(s)
- E Pleasance
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A Bohm
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medicine, University of British Columbia, Vancouver
| | - L M Williamson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - J M T Nelson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - Y Shen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - M Bonakdar
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Titmuss
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - V Csizmok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - K Wee
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S Hosseinzadeh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medicine, University of British Columbia, Vancouver
| | - C J Grisdale
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - C Reisle
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - G A Taylor
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Lewis
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - M R Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - D Bleile
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S Sadeghi
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - W Zhang
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A Davies
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - B Pellegrini
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - T Wong
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - R Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S K Chan
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - K L Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Chuah
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A J Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - R A Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - Y Zhao
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - B Deol
- Department of Medical Oncology, BC Cancer, Vancouver
| | - A Fisic
- Department of Medical Oncology, BC Cancer, Vancouver
| | - A Fok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - D A Regier
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver
| | - D Weymann
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver
| | - D F Schaeffer
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver; Pancreas Centre BC, Vancouver
| | - S Young
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver
| | - S Yip
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver
| | - K Schrader
- Hereditary Cancer Program, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver
| | - N Levasseur
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S K Taylor
- Department of Medical Oncology, BC Cancer, Kelowna
| | - X Feng
- Department of Medical Oncology, BC Cancer, Victoria
| | - A Tinker
- Department of Medical Oncology, BC Cancer, Vancouver
| | - K J Savage
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S Chia
- Department of Medical Oncology, BC Cancer, Vancouver
| | - K Gelmon
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S Sun
- Department of Medical Oncology, BC Cancer, Vancouver
| | - H Lim
- Department of Medical Oncology, BC Cancer, Vancouver
| | - D J Renouf
- Department of Medical Oncology, BC Cancer, Vancouver; Pancreas Centre BC, Vancouver
| | - S J M Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver; Department of Molecular Biology and Biochemistry, Simon Fraser University, Vancouver, Canada
| | - M A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver
| | - J Laskin
- Department of Medical Oncology, BC Cancer, Vancouver.
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10
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Deng Z, Jones MR, Wang MC, Visvanathan K. Validation of the PREDICT breast cancer tool in a multiethnic population of U.S. women after a second primary breast cancer. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.10551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10551 Background: PREDICT is a widely used clinical tool to estimate prognosis based on treatment after a diagnosis of early-stage breast cancer (BC). However, it has not been validated for use in women diagnosed with a second primary BC. Methods: Women diagnosed with one or two BCs between 2000-2013 were identified from the US Surveillance, Epidemiology, and End Results (SEER) program. Validation analyses were conducted separately among women with one and two BCs. For each group, absolute and relative differences in predicted (P) and observed (O) 5-year BC-specific mortality were estimated stratified by estrogen receptor (ER) status. For women with two BCs, mortality prediction was based on demographic and tumor characteristics of their second BCs. Model discrimination was evaluated by receiver-operator curve (ROC) and area under the curve (AUC). Results: 6,729 women diagnosed with a second BC and 357,204 women with only one BC were included. Among women with one ER-positive BC, the predicted (P) and observed (O) BC mortality were comparable [absolute difference (P-O): -0.22%, 95%CI: -0.29%, -0.15%]. For women diagnosed with a second ER-positive disease, the model largely underestimated the BC mortality (P-O: -6.24%, 95%CI: -6.96%, -5.49%). An underestimation of 3%-15% in absolute BC mortality was observed in subgroup analyses based on age, race/ethnicity [P-O for Non-Hispanic (NH) White, NH Black, and Hispanic were -5.63%, -9,3%, and -9.24%], chemotherapy (P-O: -9.06, 95%CI: -10.79, -7.4), radiation therapy (P-O: -5.06, 95%CI: -6.29, -3.93) and tumor characteristics. PREDICT overestimated BC mortality for women diagnosed with one ER-negative BC (P-O: 4.54%, 95%CI: 4.27%, 4.86%) but it performed well for women diagnosed with a second ER-negative BC (P-O: -1.69%, -3.99%, 0.16%). However, in subgroup analyses among women with two BCs the tool underestimated mortality for women with a second ER-negative disease if their first cancer was diagnosed before age 50 years (P-O: -3.27, 95%CI: -6.48, -0.06), was poorly differentiated (P-O: -4.08, 95%CI: -7.09, -1.2), or ER-negative (P-O: -4.68, 95%CI: -7.62, -1.39). The overall AUCs for first and second ER-positive and ER-negative BCs ranged between 0.73 and 0.82. Conclusions: The PREDICT tool largely underestimated the 5-year BC-specific mortality in women diagnosed with a second ER-positive breast cancer and in many subgroups of women diagnosed with a second ER-negative cancer. Novel prognostic tools are needed for women diagnosed with a second breast cancer.
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Affiliation(s)
- Zhengyi Deng
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Miranda R Jones
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Mei-Cheng Wang
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kala Visvanathan
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD
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11
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Hallett AM, Feng Y, Jones MR, Bush EL, Merlo CA, Segev DL, McAdams-DeMarco M. Ambient Air Pollution and Adverse Waitlist Events Among Lung Transplant Candidates. Transplantation 2022; 106:1071-1077. [PMID: 34049363 PMCID: PMC8613310 DOI: 10.1097/tp.0000000000003837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Air pollution is associated with cardiopulmonary disease and death in the general population. Fine particulate matter (PM2.5) is particularly harmful due to its ability to penetrate into areas of gas exchange within the lungs. Persons with advanced lung disease are believed to be particularly susceptible to PM2.5 exposure, but only a few studies have examined the effect of exposure on this population. Here we investigate the association between PM2.5 exposure and adverse waitlist events among lung transplant (LT) candidates. METHODS US registry data were used to identify LT candidates listed between January 1, 2010 and December 31, 2016. Annual PM2.5 concentration at year of listing was estimated for each candidate's ZIP Code using National Aeronautics and Space Administration's (NASA) Socioeconomic Data and Applications Center Global Annual PM2.5 Grids. We estimated crude and adjusted hazard ratios for adverse waitlist events, defined as death or removal, using Cox proportional hazards regression. RESULTS Of the 15 075 included candidates, median age at listing was 60, 43.8% were female individuals, and 81.7% were non-Hispanic White. Median ZIP Code PM2.5 concentration was 9.06 µg/m3. When compared with those living in ZIP Codes with lower PM2.5 exposure (PM2.5 <10.53 µg/m3), candidates in ZIP Codes in the highest quartile of PM2.5 exposure (≥10.53 µg/m3) had 1.14-fold (95% confidence interval, 1.04-1.25) risk of adverse waitlist events. The result remained significant after adjusting for demographics, education, insurance, smoking, lung allocation score, body mass index, and blood type (hazard ratio, 1.17; 95% confidence interval, 1.07-1.29). CONCLUSIONS Elevated ambient PM2.5 concentration was associated with adverse waitlist events among LT candidates. These findings highlight the impact of air pollution on clinical outcomes in this critically ill population.
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Affiliation(s)
- Andrew M. Hallett
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Yijing Feng
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Miranda R. Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Errol L. Bush
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Christian A. Merlo
- Department of Pulmonary and Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Dorry L. Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Mara McAdams-DeMarco
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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12
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Deng Z, Jones MR, Wang MC, Visvanathan K. Abstract P3-14-05: Racial/ethnic disparities in cancer mortality after a second breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p3-14-05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Eighteen percent of breast cancer survivors will develop a second cancer within 25 years of diagnosis, of which breast cancer is the most common type. We have previously reported a higher cancer mortality among survivors who had a second cancer compared to a first cancer. In this study, we examined whether the increased cancer mortality from a second breast cancer differs by race/ethnicity. Method: A prospective cohort study was conducted among breast cancer survivors who developed a second breast cancer using data collected from the Surveillance, Epidemiology, and End Results (SEER) 18 database between 2000 and 2016. Hazard ratio (HR) and 95% confidence interval (CI) for cancer mortality after second breast cancer were estimated from Cox proportional hazard regression, comparing Non-Hispanic Black (NHB), Non-Hispanic American Indian/Alaska Native (NHAIAN), Non-Hispanic Asian/Pacific Islander (NHAPI), and Hispanic women to Non-Hispanic White (NHW) women. Models were adjusted for age at diagnosis, year of diagnosis, tumor stage, tumor grade, estrogen receptor (ER) status, and treatments (surgery, radiotherapy, and chemotherapy) of the second breast cancer. Analyses were also stratified by second cancer ER status, tumor stage, age at diagnosis (<50, 50-75, and ≥75 years), and time since first breast cancer diagnosis (≤5 and >5 years). In a subgroup of women diagnosed of second cancer after 2010 (N=8,224), we also conducted the analysis stratified by breast cancer molecular subtype [luminal A, triple-negative, and human epidermal growth factor receptor 2 (HER2)-positive]. Results: There were 14,392 breast cancer survivors diagnosed with a second breast cancer, including 9,928 NHW, 1,975 NHB, 70 NHAIAN, 988 NHAPI, and 1,431 Hispanic during the study period. The median age at diagnosis of the second cancer ranged from 57 to 66 years and the median follow-up time from diagnosis to cancer death ranged from 52 to 62 months across racial and ethnic groups. Cancer mortality was increased among NHB (HR: 1.28, 95%CI: 1.15-1.43) and Hispanic survivors (HR: 1.17, 95%CI: 1.03-1.33) compared to NHW. There was no increased cancer mortality among NHAIAN (HR: 1.07, 95%CI: 0.61-1.90) and NHAPI survivors (HR: 0.94, 95%CI: 0.80-1.12). The increased cancer mortality in NHB was observed irrespective of second cancer ER status, tumor stage, age at diagnosis, and time since first breast cancer diagnosis. Increased cancer mortality in NHB was also observed for luminal A (HR: 1.26, 95%CI: 1.11-1.44) and triple-negative subtypes (HR: 1.42, 95%CI: 1.10-1.83), but not for HER2-positive (HR: 1.19, 95%CI: 0.88-1.60) disease. For Hispanic patients, increased cancer mortality was observed in women with ER-positive disease, regional stage disease, cancer diagnosed <50 years of age, and cancer developed after 5 years. Conclusion: Racial/ethnic disparities in cancer mortality are present even among NHB and Hispanic breast cancer survivors who developed a second breast cancer. Studies are needed to understand the drivers of these disparities and to test preventive strategies to mitigate them.
Citation Format: Zhengyi Deng, Miranda R Jones, Mei-Cheng Wang, Kala Visvanathan. Racial/ethnic disparities in cancer mortality after a second breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-14-05.
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Affiliation(s)
- Zhengyi Deng
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Miranda R Jones
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Mei-Cheng Wang
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins School of Medicine, Baltimore, MD
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13
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Jones MR, Subbe CP, Thorpe C, Pickwick C. Frailty Status and Outcomes of COVID-19 Patients Admitted to an Intensive Care Unit. J Frailty Aging 2022; 11:242-243. [PMID: 35441204 PMCID: PMC8821774 DOI: 10.14283/jfa.2022.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- M R Jones
- Matthew Rhys Jones, Cardiff University School of Medicine, Cardiff, United Kingdom,
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14
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Feng Y, Jones MR, Ahn JB, Garonzik-Wang JM, Segev DL, McAdams-DeMarco M. Ambient air pollution and posttransplant outcomes among kidney transplant recipients. Am J Transplant 2021; 21:3333-3345. [PMID: 33870639 PMCID: PMC8500923 DOI: 10.1111/ajt.16605] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/16/2021] [Accepted: 04/03/2021] [Indexed: 01/25/2023]
Abstract
Fine particulate matter (PM2.5 ), a common form of air pollution which can induce systemic inflammatory response, is a risk factor for adverse health outcomes. Kidney transplant (KT) recipients are likely vulnerable to PM2.5 due to comorbidity and chronic immunosuppression. We sought to quantify the association between PM2.5 and post-KT outcomes. For adult KT recipients (1/1/2010-12/31/2016) in the Scientific Registry of Transplant Recipients, we estimated annual zip-code level PM2.5 concentrations at the time of KT using NASA's SEDAC Global PM2.5 Grids. We determined the associations between PM2.5 and delayed graft function (DGF) and 1-year acute rejection using logistic regression and death-censored graft failure (DCGF) and mortality using Cox proportional hazard models. All models were adjusted for sociodemographics, recipient, transplant, and ZIP code level confounders. Among 87 233 KT recipients, PM2.5 was associated with increased odds of DGF (OR = 1.59; 95% CI: 1.48-1.71) and 1-year acute rejection (OR = 1.31; 95% CI: 1.17-1.46) and increased risk of all-cause mortality (HR = 1.15; 95% CI: 1.07-1.23) but not DCGF (HR = 1.05; 95% CI: 0.97-1.51). In conclusion, PM2.5 was associated with higher odds of DGF and 1-year acute rejection and elevated risk of mortality among KT recipients. Our study highlights the importance of considering environmental exposure as risk factors for post-KT outcomes.
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Affiliation(s)
- Yijing Feng
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Miranda R. Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - JiYoon B. Ahn
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Dorry L. Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Mara McAdams-DeMarco
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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15
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Nigra AE, Moon KA, Jones MR, Sanchez TR, Navas-Acien A. Urinary arsenic and heart disease mortality in NHANES 2003-2014. Environ Res 2021; 200:111387. [PMID: 34090890 PMCID: PMC8403626 DOI: 10.1016/j.envres.2021.111387] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 05/03/2021] [Accepted: 05/20/2021] [Indexed: 05/21/2023]
Abstract
BACKGROUND Evidence evaluating the prospective association between low-to moderate-inorganic arsenic (iAs) exposure and cardiovascular disease in the general US population is limited. We evaluated the association between urinary arsenic concentrations in National Health and Nutrition Examination Survey (NHANES) 2003-2014 and heart disease mortality linked from the National Death Index through 2015. METHODS We modeled iAs exposure as urinary total arsenic and dimethylarsinate among participants with low seafood intake, based on low arsenobetaine levels (N = 4990). We estimated multivariable adjusted hazard ratios (HRs) for heart disease mortality per interquartile range (IQR) increase in urinary arsenic levels using survey-weighted, Cox proportional hazards models, and evaluated flexible dose-response analyses using restricted quadratic spline models. We updated a previously published relative risk of coronary heart disease mortality from a dose-response meta-analysis per a doubling of water iAs (e.g., from 10 to 20 μg/L) with our results from NHANES 2003-2014, assuming all iAs exposure came from drinking water. RESULTS A total of 77 fatal heart disease events occurred (median follow-up time 75 months). The adjusted HRs (95% CI) of heart disease mortality for an increase in urinary total arsenic and DMA corresponding to the interquartile range were 1.20 (0.83, 1.74) and 1.18 (0.68, 2.05), respectively. Restricted quadratic splines indicate a significant association between increasing urinary total arsenic and the HR of fatal heart disease for all participants at the lowest exposure levels <4.5 μg/L. The updated pooled relative risk of coronary heart disease mortality per doubling of water iAs (μg/L) was 1.16 (95% CI 1.07, 1.25). CONCLUSIONS Despite a small number of events, relatively short follow-up time, and high analytical limits of detection for urinary arsenic species, iAs exposure at low-to moderate-levels is consistent with increased heart disease mortality in NHANES 2003-2014 although the associations were only significant in flexible dose-response models.
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Affiliation(s)
- Anne E Nigra
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Katherine A Moon
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Tiffany R Sanchez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
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16
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Woo H, Brigham EP, Allbright K, Ejike C, Galiatsatos P, Jones MR, Oates GR, Krishnan JA, Cooper CB, Kanner RE, Bowler RP, Hoffman EA, Comellas AP, Criner G, Barr RG, Martinez FJ, Han M, Ortega VE, Parekh TM, Christenson S, Belz D, Raju S, Gassett A, Paulin LM, Putcha N, Kaufman JD, Hansel NN. Racial Segregation and Respiratory Outcomes among Urban Black Residents with and at Risk of Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2021; 204:536-545. [PMID: 33971109 PMCID: PMC8491265 DOI: 10.1164/rccm.202009-3721oc] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 05/10/2021] [Indexed: 11/16/2022] Open
Abstract
Rationale: Racial residential segregation has been associated with worse health outcomes, but the link with chronic obstructive pulmonary disease (COPD) morbidity has not been established.Objectives: To investigate whether racial residential segregation is associated with COPD morbidity among urban Black adults with or at risk of COPD.Methods: Racial residential segregation was assessed using isolation index, based on 2010 decennial census and baseline address, for Black former and current smokers in the multicenter SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), a study of adults with or at risk for COPD. We tested the association between isolation index and respiratory symptoms, physiologic outcomes, imaging parameters, and exacerbation risk among urban Black residents, adjusting for established COPD risk factors, including smoking. Additional mediation analyses were conducted for factors that could lie on the pathway between segregation and COPD outcomes, including individual and neighborhood socioeconomic status, comorbidity burden, depression/anxiety, and ambient pollution.Measurements and Main Results: Among 515 Black participants, those residing in segregated neighborhoods (i.e., isolation index ⩾0.6) had worse COPD Assessment Test score (β = 2.4; 95% confidence interval [CI], 0.7 to 4.0), dyspnea (modified Medical Research Council scale; β = 0.29; 95% CI, 0.10 to 0.47), quality of life (St. George's Respiratory Questionnaire; β = 6.1; 95% CI, 2.3 to 9.9), and cough and sputum (β = 0.8; 95% CI, 0.1 to 1.5); lower FEV1% predicted (β = -7.3; 95% CI, -10.9 to -3.6); higher rate of any and severe exacerbations; and higher percentage emphysema (β = 2.3; 95% CI, 0.7 to 3.9) and air trapping (β = 3.8; 95% CI, 0.6 to 7.1). Adverse associations attenuated with adjustment for potential mediators but remained robust for several outcomes, including dyspnea, FEV1% predicted, percentage emphysema, and air trapping.Conclusions: Racial residential segregation was adversely associated with COPD morbidity among urban Black participants and supports the hypothesis that racial segregation plays a role in explaining health inequities affecting Black communities.
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Affiliation(s)
- Han Woo
- Division of Pulmonary and Critical Care Medicine and
| | | | | | - Chinedu Ejike
- Division of Pulmonary and Critical Care Medicine and
| | | | - Miranda R. Jones
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | | | - Jerry A. Krishnan
- Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois, Chicago, Illinois
| | - Christopher B. Cooper
- Department of Medicine and
- Department of Physiology, School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Richard E. Kanner
- Division of Pulmonary and Critical Care, School of Medicine, University of Utah, Salt Lake City, Utah
| | - Russell P. Bowler
- Division of Pulmonary and Critical Care, National Jewish Health, Denver, Colorado
| | - Eric A. Hoffman
- Department of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | - Alejandro P. Comellas
- Department of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | - Gerard Criner
- Division of Pulmonary and Critical Care, Temple University Hospital, Philadelphia, Pennsylvania
| | - R. Graham Barr
- Division of Pulmonary and Critical Care Presbyterian Hospital, Columbia University Medical Center, New York, New York
| | - Fernando J. Martinez
- Department of Internal Medicine, Weill Cornell Medical College, New York, New York
| | - MeiLan Han
- Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Michigan
| | - Victor E. Ortega
- Center for Genomics and Personalized Medicine Research, Wake Forest University, Winston-Salem, North Carolina
| | - Trisha M. Parekh
- Division of Pulmonary and Critical Care, University of Alabama at Birmingham, Birmingham, Alabama
| | - Stephanie Christenson
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California, San Francisco, San Francisco, California
| | - Daniel Belz
- Division of Pulmonary and Critical Care Medicine and
| | - Sarath Raju
- Division of Pulmonary and Critical Care Medicine and
| | - Amanda Gassett
- Department of Environmental and Occupational Health Sciences
- Department of Medicine, and
- Department of Epidemiology, University of Washington, Seattle, Washington; and
| | - Laura M. Paulin
- Section of Pulmonary and Critical Care, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine, Hanover, New Hampshire
| | | | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences
- Department of Medicine, and
- Department of Epidemiology, University of Washington, Seattle, Washington; and
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Dubas K, Szewczyk S, Białek R, Burdziński G, Jones MR, Gibasiewicz K. Antagonistic Effects of Point Mutations on Charge Recombination and a New View of Primary Charge Separation in Photosynthetic Proteins. J Phys Chem B 2021; 125:8742-8756. [PMID: 34328746 PMCID: PMC8389993 DOI: 10.1021/acs.jpcb.1c03978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Light-induced electron-transfer
reactions were investigated in
wild-type and three mutant Rhodobacter sphaeroides reaction centers with the secondary electron acceptor (ubiquinone
QA) either removed or permanently reduced. Under such conditions,
charge separation between the primary electron donor (bacteriochlorophyll
dimer, P) and the electron acceptor (bacteriopheophytin, HA) was followed by P+HA– →
PHA charge recombination. Two reaction centers were used
that had different single amino-acid mutations that brought about
either a 3-fold acceleration in charge recombination compared to that
in the wild-type protein, or a 3-fold deceleration. In a third mutant
in which the two single amino-acid mutations were combined, charge
recombination was similar to that in the wild type. In all cases,
data from transient absorption measurements were analyzed using similar
models. The modeling included the energetic relaxation of the charge-separated
states caused by protein dynamics and evidenced the appearance of
an intermediate charge-separated state, P+BA–, with BA being the bacteriochlorophyll
located between P and HA. In all cases, mixing of the states
P+BA– and P+HA– was observed and explained in terms of
electron delocalization over BA and HA. This
delocalization, together with picosecond protein relaxation, underlies
a new view of primary charge separation in photosynthesis.
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Affiliation(s)
- K Dubas
- Faculty of Physics, Adam Mickiewicz University, ul. Uniwersytetu Poznanskiego 2, 61-614 Poznań, Poland.,Department of Optometry, Poznan University of Medical Sciences, ul. Rokietnicka 5d, 60-806 Poznań, Poland
| | - S Szewczyk
- Faculty of Physics, Adam Mickiewicz University, ul. Uniwersytetu Poznanskiego 2, 61-614 Poznań, Poland
| | - R Białek
- Faculty of Physics, Adam Mickiewicz University, ul. Uniwersytetu Poznanskiego 2, 61-614 Poznań, Poland
| | - G Burdziński
- Faculty of Physics, Adam Mickiewicz University, ul. Uniwersytetu Poznanskiego 2, 61-614 Poznań, Poland
| | - M R Jones
- School of Biochemistry, Medical Sciences Building, University of Bristol, University Walk, Bristol, BS8 1TD, U.K
| | - K Gibasiewicz
- Faculty of Physics, Adam Mickiewicz University, ul. Uniwersytetu Poznanskiego 2, 61-614 Poznań, Poland
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Deng Z, Jones MR, Visvanathan K. Abstract 896: Comparison of tumor profiles of second cancers among breast cancer survivors to first cancers in the SEER registries: A nationwide study. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: In the US, the number of breast cancer (BC) survivors is expected to increase to 5 million by 2030. Although it is well established that BC survivors are at increased risk of second primary cancer (SPC), little is known about the characteristics of these tumors.
Methods: We conducted a retrospective cohort study using the Surveillance, Epidemiology, and End Results (SEER) 18 database to compare the tumor characteristics of first primary cancer (FPC) to SPC among women diagnosed with BC between 2000-2016. For this analysis, we focused on breast, lung, colorectal, uterine, and cervical cancer. Odds ratio (OR) and 95% confidence interval (CI) for tumor characteristics comparing SPC to FPC were estimated from logistic or multinomial logistic regression, adjusting for race/ethnicity, year of diagnosis, and age at diagnosis. Tumor characteristics included summary tumor stage, T stage, tumor grade, hormone receptor (HR) status of BC, molecular subtype of BC, Oncotype DX score of BC for a subset (N=48,826), and histologic subtype of lung cancer.
Results: The study population included 14,392 second and 586,788 first BC, 5,202 second and 246,543 first lung cancers, 3,525 second and 190,640 first colorectal cancers, 2,517 second and 125,818 first uterine cancers, as well as 230 second and 42,601 first cervical cancers. Women with SPC were older than women with FPC. Compared to FPC, SPC were more likely to be diagnosed at local stage for breast (OR: 1.30, 95%CI: 1.25-1.34), lung (OR: 1.57, 95%CI: 1.47-1.68), colorectal (OR: 1.20, 95%CI: 1.12-1.28), and cervical cancer (OR: 1.59, 95%CI: 1.19-2.12), but not for uterine cancer (OR: 1.07, 95%CI: 0.98-1.17). Second breast (OR: 1.26, 95%CI: 1.21-1.31) and uterine (OR: 1.83, 95%CI: 1.65-2.03) cancers were more likely to present at poorly or undifferentiated tumor grade after adjusting for tumor stage. No difference in tumor grade was found for lung, colorectal, and cervical cancer. Second BC were more likely to be of hormone receptor (HR) negative (OR: 1.64, 95%CI: 1.57-1.71), human epidermal growth factor receptor 2 (HER2) enriched (OR:1.30, 95%CI: 1.16-1.45) and triple negative (OR: 1.66, 95%: 1.55-1.77) subtype, and having Oncotype DX score above 26 (OR: 1.73, 95%CI: 1.47-2.04). Second lung cancers were more likely to be of small cell histology compared to first lung cancers (OR =1.15, 95%CI: 1.06-1.25).
Conclusion: Screen-detectable second cancers were diagnosed at an earlier stage compared with first cancers. Further, second breast, uterine, and lung cancer had a more aggressive tumor profile compared to women with a similar type of first cancer suggestive of underlying biological differences between the two groups. It is plausible that more intensive screening strategies akin to screening recommendations for women at high risk of BC may be needed for survivors at risk for certain second cancers.
Citation Format: Zhengyi Deng, Miranda R. Jones, Kala Visvanathan. Comparison of tumor profiles of second cancers among breast cancer survivors to first cancers in the SEER registries: A nationwide study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 896.
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Affiliation(s)
- Zhengyi Deng
- 1Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | - Kala Visvanathan
- 2Johns Hopkins Bloomberg School of Public Health and Johns Hopkins School of Medicine, Baltimore, MD
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19
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Feng Y, Jones MR, Chu NM, Segev DL, McAdams-DeMarco M. Ambient Air Pollution and Mortality among Older Patients Initiating Maintenance Dialysis. Am J Nephrol 2021; 52:217-227. [PMID: 33789279 DOI: 10.1159/000514233] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 12/28/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Fine particulate matter (particulate matter with diameter <2.5 µm [PM2.5]) is associated with CKD progression and may impact the health of patients living with kidney failure. While older (aged ≥65 years) adults are most vulnerable to the impact of PM2.5, it is unclear whether older patients on dialysis are at elevated risk of mortality when exposed to fine particulate matter. METHODS Older adults initiating dialysis (2010-2016) were identified from US Renal Data System (USRDS). PM2.5 concentrations were obtained from NASA's Socioeconomic Data and Application Center (SEDAC) Global Annual PM2.5 Grids. We investigated the association between PM2.5 and all-cause mortality using Cox proportional hazard models with linear splines [knot at the current Environmental Protection Agency (EPA) National Ambient Air Quality Standard for PM2.5 of 12 μg/m3] and robust variance. RESULTS For older dialysis patients who resided in areas with high PM2.5, a 10 μg/m3 increase in PM2.5 was associated with 1.16-fold (95% CI: 1.08-1.25) increased risk of mortality; furthermore, those who were female (aHR = 1.26, 95% CI: 1.13-1.42), Black (aHR = 1.31, 95% CI: 1.09-1.59), or had diabetes as a primary cause of kidney failure (aHR = 1.25, 95% CI: 1.13-1.38) were most vulnerable to high PM2.5. While the mortality risk associated with PM2.5 was stronger at higher levels (aHR = 1.19, 95% CI: 1.08-1.32), at lower levels (≤12 μg/m3), PM2.5 was significantly associated with mortality risk (aHR = 1.04, 95% CI: 1.00-1.07) among patients aged ≥75 years (Pslope difference = 0.006). CONCLUSIONS Older adults initiating dialysis who resided in ZIP codes with PM2.5 levels >12 μg/m3 are at increased risk of mortality. Those aged >75 were at elevated risk even at levels below the EPA Standard for PM2.5.
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Affiliation(s)
- Yijing Feng
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nadia M Chu
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Dorry L Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Mara McAdams-DeMarco
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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20
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Deng Z, Jones MR, Visvanathan K. Abstract PS7-16: Increased cancer mortality after second primary malignancy among breast cancer survivors. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-ps7-16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Due to advances in early detection and treatment, the number of breast cancer survivors in the US is expected to increase to 5 million by 2030. Although it is well established that breast cancer survivors are at increased risk of second primary malignancy (SPM), there is limited data on the impact of a SPM on overall and cancer-specific mortality compared to women with a first primary cancer. This information could inform prognosis for women with breast cancer as well as screening and treatment recommendations.
Methods: A retrospective cohort study was conducted using the Surveillance, Epidemiology, and End Results (SEER) 18 database, which collected cancer incidence and mortality from 18 US cancer registries (represents 28% of US population) between 2000 and 2016. For this analysis, we focused on the top 10 SPM in breast cancer survivors: breast cancer, lung cancer, colorectal cancer, uterine cancer, lymphoma, melanoma, thyroid cancer, pancreatic cancer, ovarian cancer, and leukemia. Propensity scores were used to match SPM with first primary cancer 1:1 on race, primary site, year of diagnosis, age of diagnosis, tumor stage, and treatments (surgery, chemotherapy, and radiotherapy). Hazard ratio (HR) and 95% confidence interval (CI) for cancer-specific death comparing SPM to first primary cancer were estimated from Cox proportional hazard regression, accounting for competing risk of death from conditions other than cancer. Subgroup analyses were conducted by SPM tumor stage, SPM primary site, and time interval between first breast cancer and SPM diagnosis.
Results: The study population included 31,712 breast cancer survivors with SPM and 1,471,886 women with first primaries. Women with SPM were older (mean age of 66.6 years) than first primary cancers (mean age of 62.1 years). 52.8% of SPM and 47.5% of first primary cancers were diagnosed at local stage. Women with SPM had higher cancer mortality than women with first primary cancer (HR: 1.27, 95%CI: 1.23-1.30). Mortality difference was larger among local stage SPM (HR: 1.95, 95%CI: 1.82-2.08) and regional stage (HR: 1.40, 95%CI: 1.33-1.47) than for distant stage (HR:1.10, 95%CI:1.06-1.14). Among the top 10 SPM, increased mortality was observed for thyroid cancer (HR: 3.02, 95%CI: 1.96-4.67), breast cancer (HR: 2.26, 95%CI: 2.11-2.42), and melanoma (HR: 1.76, 95%CI: 1.36-2.28). There was no statistically significant difference in mortality for second lung (HR: 1.06, 95%CI: 1.00-1.17) and pancreatic cancer (HR: 0.93, 95%CI: 0.82-1.06). Larger mortality difference comparing SPM to first primary cancer was observed for SPM diagnosed within 5 years (HR: 1.39, 95%CI: 1.35-1.44) than after 5 years (HR: 1.09, 95%CI: 1.04-1.13).
Conclusion: Breast cancer survivors with a SPM had higher cancer-specific mortality overall and for several cancers compared to women diagnosed with the same type of cancer for the first time suggesting that prior breast cancer is an important prognostic factor. Our results support the evaluation of improved risk stratification and/or novel screening and treatment approaches to improve outcomes from second cancer in breast cancer survivors.
Citation Format: Zhengyi Deng, Miranda R Jones, Kala Visvanathan. Increased cancer mortality after second primary malignancy among breast cancer survivors [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS7-16.
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Affiliation(s)
- Zhengyi Deng
- 1Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Miranda R Jones
- 1Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kala Visvanathan
- 2Johns Hopkins Bloomberg School of Public Health and Johns Hopkins School of Medicine, Baltimore, MD
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Laskin J, Liu SV, Tolba K, Heining C, Schlenk RF, Cheema P, Cadranel J, Jones MR, Drilon A, Cseh A, Gyorffy S, Solca F, Duruisseaux M. NRG1 fusion-driven tumors: biology, detection, and the therapeutic role of afatinib and other ErbB-targeting agents. Ann Oncol 2020; 31:1693-1703. [PMID: 32916265 DOI: 10.1016/j.annonc.2020.08.2335] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 08/03/2020] [Accepted: 08/31/2020] [Indexed: 10/23/2022] Open
Abstract
Oncogenic gene fusions are hybrid genes that result from structural DNA rearrangements, leading to deregulated activity. Fusions involving the neuregulin-1 gene (NRG1) result in ErbB-mediated pathway activation and therefore present a rational candidate for targeted treatment. The most frequently reported NRG1 fusion is CD74-NRG1, which most commonly occurs in patients with invasive mucinous adenocarcinomas (IMAs) of the lung, although several other NRG1 fusion partners have been identified in patients with lung cancer, including ATP1B1, SDC4, and RBPMS. NRG1 fusions are also present in patients with other solid tumors, such as pancreatic ductal adenocarcinoma. In general, NRG1 fusions are rare across different types of cancer, with a reported incidence of <1%, with the notable exception of IMA, which represents ≈2%-10% of lung adenocarcinomas and has a reported incidence of ≈10%-30% for NRG1 fusions. A substantial proportion (≈20%) of NRG1 fusion-positive non-small-cell lung cancer cases are nonmucinous adenocarcinomas. ErbB-targeted treatments, such as afatinib, a pan-ErbB tyrosine kinase inhibitor, are potential therapeutic strategies to address unmet treatment needs in patients harboring NRG1 fusions.
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Affiliation(s)
- J Laskin
- Division of Medical Oncology, Department of Medicine, University of British Columbia, BC Cancer, Vancouver, BC, Canada.
| | - S V Liu
- Georgetown University Medical Center, Washington, USA
| | - K Tolba
- Oregon Health and Science University, Portland, OR, USA
| | - C Heining
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Dresden and German Cancer Research Center (DKFZ), Dresden, Germany; Center for Personalized Oncology, NCT Dresden and University Hospital Carl Gustav Carus Dresden at Technical University Dresden, Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany
| | - R F Schlenk
- National Center of Tumor Diseases Heidelberg, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany
| | - P Cheema
- William Osler Health System, University of Toronto, Toronto, ON, Canada
| | - J Cadranel
- Assistance Publique Hôpitaux de Paris, Hôpital Tenon and Sorbonne Université, Paris, France
| | - M R Jones
- QIAGEN Digital Insights, QIAGEN Inc., Redwood City, CA, USA
| | - A Drilon
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A Cseh
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - S Gyorffy
- AstraZeneca Canada Ltd, Mississauga, ON, Canada
| | - F Solca
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
| | - M Duruisseaux
- Hospices Civils de Lyon Cancer Institute, Anticancer Antibodies Lab Cancer Research Center of Lyon INSERM 1052 CNRS 528, Université Claude Bernard Lyon 1, Lyon, France
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Tabb LP, McClure LA, Ortiz A, Melly S, Jones MR, Kershaw KN, Roux AVD. Assessing the spatial heterogeneity in black-white differences in optimal cardiovascular health and the impact of individual- and neighborhood-level risk factors: The Multi-Ethnic Study of Atherosclerosis (MESA). Spat Spatiotemporal Epidemiol 2020; 33:100332. [PMID: 32370943 PMCID: PMC7205896 DOI: 10.1016/j.sste.2020.100332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 11/08/2019] [Accepted: 12/27/2019] [Indexed: 11/24/2022]
Abstract
Racial disparities in cardiovascular health (CVH) continue to remain a public health concern in the United States. We use unique population-based data from the Multi-Ethnic Study of Atherosclerosis cohort to explore the black-white differences in optimal CVH. Utilizing geographically weighted regression methods, we assess the spatial heterogeneity in black-white differences in optimal CVH and the impact of both individual- and neighborhood-level risk factors. We found evidence of significant spatial heterogeneity in black-white differences that varied within and between the five sites. Initial models showed decreased odds of optimal CVH for blacks that ranged from 60% to 70% reduced odds - with noticeable variation of these decreased odds within each site. Adjusting for risk factors resulted in reductions in the black-white differences in optimal CVH. Further understanding of the reasons for spatial heterogeneities in black-white differences in nationally representative cohorts may provide important clues regarding the drivers of these differences.
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Affiliation(s)
- Loni Philip Tabb
- Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA 19104, USA.
| | - Leslie A McClure
- Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA 19104, USA.
| | - Angel Ortiz
- Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA 19104, USA.
| | - Steven Melly
- Urban Health Collaborative, Drexel University, 3600 Market Street, Philadelphia, PA 19104, USA.
| | - Miranda R Jones
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, 615N. Wolfe Street, Baltimore, MD 21205, USA.
| | - Kiarri N Kershaw
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680N. Lake Shore Drive, Chicago, IL 60611, USA.
| | - Ana V Diez Roux
- Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA 19104, USA.
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Sobel MH, Sanchez TR, Jones MR, Kaufman JD, Francesconi KA, Blaha MJ, Vaidya D, Shimbo D, Gossler W, Gamble MV, Genkinger JM, Navas‐Acien A. Rice Intake, Arsenic Exposure, and Subclinical Cardiovascular Disease Among US Adults in MESA. J Am Heart Assoc 2020; 9:e015658. [PMID: 32067593 PMCID: PMC7070216 DOI: 10.1161/jaha.119.015658] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 01/02/2020] [Indexed: 12/11/2022]
Abstract
Background Arsenic-related cardiovascular effects at exposure levels below the US Environmental Protection Agency's standard of 10 μg/L are unclear. For these populations, food, especially rice, is a major source of exposure. We investigated associations of rice intake, a marker of arsenic exposure, with subclinical cardiovascular disease (CVD) markers in a multiethnic population. Methods and Results Between 2000 and 2002, MESA (Multi-Ethnic Study of Atherosclerosis) enrolled 6814 adults without clinical CVD. We included 5050 participants with baseline data on rice intake and markers of 3 CVD domains: inflammation (hsCRP [high-sensitivity C-reactive protein], interleukin-6, and fibrinogen), vascular function (aortic distensibility, carotid distensibility, and brachial flow-mediated dilation), and subclinical atherosclerosis at 3 vascular sites (carotid intima-media thickness, coronary artery calcification, and ankle-brachial index). We also evaluated endothelial-related biomarkers previously associated with arsenic. Rice intake was assessed by food frequency questionnaire. Urinary arsenic was measured in 310 participants. A total of 13% of participants consumed ≥1 serving of rice/day. Compared with individuals consuming <1 serving of rice/week, ≥1 serving of rice/day was not associated with subclinical markers after demographic, lifestyle, and CVD risk factor adjustment (eg, geometric mean ratio [95% CI] for hsCRP, 0.98 [0.86-1.11]; aortic distensibility, 0.99 [0.91-1.07]; and carotid intima-media thickness, 0.98 [0.91-1.06]). Associations with urinary arsenic were similar to those for rice intake. Conclusions Rice intake was not associated with subclinical CVD markers in a multiethnic US population. Research using urinary arsenic is needed to assess potential CVD effects of low-level arsenic exposure. Understanding the role of low-level arsenic as it relates to subclinical CVD may contribute to CVD prevention and control.
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Affiliation(s)
- Marisa H. Sobel
- Department of Environmental Health ScienceColumbia UniversityNew YorkNY
| | | | - Miranda R. Jones
- Department of EpidemiologyJohns Hopkins University Bloomberg School of Public HealthBaltimoreMD
| | | | | | | | | | | | | | - Mary V. Gamble
- Department of Environmental Health ScienceColumbia UniversityNew YorkNY
| | | | - Ana Navas‐Acien
- Department of Environmental Health ScienceColumbia UniversityNew YorkNY
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Laperle AH, Sances S, Yucer N, Dardov VJ, Garcia VJ, Ho R, Fulton AN, Jones MR, Roxas KM, Avalos P, West D, Banuelos MG, Shu Z, Murali R, Maidment NT, Van Eyk JE, Tagliati M, Svendsen CN. iPSC modeling of young-onset Parkinson's disease reveals a molecular signature of disease and novel therapeutic candidates. Nat Med 2020; 26:289-299. [PMID: 31988461 DOI: 10.1038/s41591-019-0739-1] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 12/16/2019] [Indexed: 12/21/2022]
Abstract
Young-onset Parkinson's disease (YOPD), defined by onset at <50 years, accounts for approximately 10% of all Parkinson's disease cases and, while some cases are associated with known genetic mutations, most are not. Here induced pluripotent stem cells were generated from control individuals and from patients with YOPD with no known mutations. Following differentiation into cultures containing dopamine neurons, induced pluripotent stem cells from patients with YOPD showed increased accumulation of soluble α-synuclein protein and phosphorylated protein kinase Cα, as well as reduced abundance of lysosomal membrane proteins such as LAMP1. Testing activators of lysosomal function showed that specific phorbol esters, such as PEP005, reduced α-synuclein and phosphorylated protein kinase Cα levels while increasing LAMP1 abundance. Interestingly, the reduction in α-synuclein occurred through proteasomal degradation. PEP005 delivery to mouse striatum also decreased α-synuclein production in vivo. Induced pluripotent stem cell-derived dopaminergic cultures reveal a signature in patients with YOPD who have no known Parkinson's disease-related mutations, suggesting that there might be other genetic contributions to this disorder. This signature was normalized by specific phorbol esters, making them promising therapeutic candidates.
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Affiliation(s)
- A H Laperle
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - S Sances
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - N Yucer
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - V J Dardov
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - V J Garcia
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - R Ho
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - A N Fulton
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - M R Jones
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - K M Roxas
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - P Avalos
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - D West
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - M G Banuelos
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
| | - Z Shu
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - R Murali
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Research Division of Immunology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - N T Maidment
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - J E Van Eyk
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - M Tagliati
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - C N Svendsen
- Cedars-Sinai Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA.
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25
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Song L, Smith GS, Adar SD, Post WS, Guallar E, Navas-Acien A, Kaufman JD, Jones MR. Ambient air pollution as a mediator in the pathway linking race/ethnicity to blood pressure elevation: The multi-ethnic study of atherosclerosis (MESA). Environ Res 2020; 180:108776. [PMID: 31639655 DOI: 10.1016/j.envres.2019.108776] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 09/24/2019] [Accepted: 09/25/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Racial/ethnic disparities in blood pressure and hypertension have been evident in previous studies, as were associations between race/ethnicity with ambient air pollution and those between air pollution with hypertension. The role of air pollution exposure to racial/ethnic differences in hypertension has not been explored. OBJECTIVE To assess the potential mediating effects of ambient air pollution on the association between race/ethnicity and blood pressure levels. METHODS We studied 6,463 White, Black, Hispanic and Chinese adults enrolled across 6 US cities. Systolic (SBP) and diastolic blood pressure (DBP) were measured at Exam 1 (2000-2002) and Exam 2 (2002-2004). Household-level annual average concentrations of fine particulate matter (PM2.5), oxides of nitrogen (NOX), and ozone (O3) for the year 2000 were estimated for participants. RESULTS The difference in SBP levels by race/ethnicity that was related to higher PM2.5 concentrations compared with White men ("indirect associations") was 0.3 (95% CI: 0.1, 0.6) mmHg for Black men, 0.3 (95% CI: 0.1, 0.6) mmHg for Hispanic men and 1.0 (95% CI: 0.2, 1.8) mmHg for Chinese men. Findings were similar although not statistically significant for women. PM2.5 did not mediate racial/ethnic differences in DBP. Indirect associations were significant for O3 for SBP among women and men and for DBP among men. In contrast, racial/ethnic disparities were attenuated due to exposure to NOX. CONCLUSION Racial disparities in blood pressure were reduced after accounting for PM2.5 and ozone while increased after accounting for NOX.
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Affiliation(s)
- Lanxin Song
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Genee S Smith
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sara D Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, School of Public Health, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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26
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Conradt E, Flannery T, Aschner JL, Annett RD, Croen LA, Duarte CS, Friedman AM, Guille C, Hedderson MM, Hofheimer JA, Jones MR, Ladd-Acosta C, McGrath M, Moreland A, Neiderhiser JM, Nguyen RH, Posner J, Ross JL, Savitz DA, Ondersma SJ, Lester BM. Prenatal Opioid Exposure: Neurodevelopmental Consequences and Future Research Priorities. Pediatrics 2019; 144:peds.2019-0128. [PMID: 31462446 PMCID: PMC6759228 DOI: 10.1542/peds.2019-0128] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/22/2019] [Indexed: 01/14/2023] Open
Abstract
Neonatal opioid withdrawal syndrome (NOWS) has risen in prevalence from 1.2 per 1000 births in 2000 to 5.8 per 1000 births in 2012. Symptoms in neonates may include high-pitched cry, tremors, feeding difficulty, hypertonia, watery stools, and breathing problems. However, little is known about the neurodevelopmental consequences of prenatal opioid exposure in infancy, early childhood, and middle childhood. Even less is known about the cognitive, behavioral, and academic outcomes of children who develop NOWS. We review the state of the literature on the neurodevelopmental consequences of prenatal opioid exposure with a particular focus on studies in which NOWS outcomes were examined. Aiming to reduce the incidence of prenatal opioid exposure in the near future, we highlight the need for large studies with prospectively recruited participants and longitudinal designs, taking into account confounding factors such as socioeconomic status, institutional variations in care, and maternal use of other substances, to independently assess the full impact of NOWS. As a more immediate solution, we provide an agenda for future research that leverages the National Institutes of Health Environmental Influences on Child Health Outcomes program to address many of the serious methodologic gaps in the literature, and we answer key questions regarding the short- and long-term neurodevelopmental health of children with prenatal opioid exposure.
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Affiliation(s)
- Elisabeth Conradt
- Departments of Psychology, Pediatrics, and Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah;
| | | | - Judy L. Aschner
- Department of Pediatrics, Albert Einstein College of Medicine, New York, New York;,Department of Pediatrics, Hackensack Meridian School of Medicine, Seton Hall University, Nutley, New Jersey
| | - Robert D. Annett
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, Mississippi
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, California
| | - Cristiane S. Duarte
- New York State Psychiatric Institute,,Department of Psychiatry, Columbia University, New York, New York
| | - Alexander M. Friedman
- Division of Maternal-Fetal Medicine, Columbia University Irving Medical Center, New York, New York
| | | | | | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Christine Ladd-Acosta
- Department of Epidemiology and,Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | | | - Angela Moreland
- National Crime Victims Research and Treatment Center, Medical University of South Carolina, Columbia, South Carolina
| | - Jenae M. Neiderhiser
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania
| | - Ruby H.N. Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Jonathan Posner
- Department of Psychiatry, Columbia University, New York, New York
| | - Judith L. Ross
- Department of Pediatrics, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware; and
| | | | - Steven J. Ondersma
- Merrill Palmer Skillman Institute and Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk and Departments of Psychiatry and Human Behavior and Pediatrics, Alpert Medical School, Brown University, Providence, Rhode Island;,Women and Infants Hospital in Rhode Island, Providence, Rhode Island
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27
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Sanchez TR, Oelsner EC, Lederer DJ, Lo Cascio CM, Jones MR, Grau-Perez M, Francesconi KA, Goessler W, Perzanowski MS, Barr RG, Navas-Acien A. Rice Consumption and Subclinical Lung Disease in US Adults: Observational Evidence From the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 2019; 188:1655-1665. [PMID: 31145426 DOI: 10.1093/aje/kwz137] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/22/2019] [Accepted: 05/24/2019] [Indexed: 01/17/2023] Open
Abstract
Rice accumulates arsenic, an established lung toxicant. Little is known about the association of rice consumption with arsenic-related health effects, particularly interstitial lung disease. Between 2000 and 2002, 6,814 white, black, Hispanic, and Chinese adults from 6 US cities were enrolled in the Multi-Ethnic Study of Atherosclerosis. We included 2,250 participants who had spirometry data, 2,557 with full-lung computed tomography (CT) scans, and 5,710 with cardiac CT scans. Rice consumption and 310 participants with urinary arsenic were assessed at baseline. Spirometry and full-lung CT-derived measures of total lung capacity and high attenuation area (HAA), and interstitial lung abnormalities were measured at examination 5. Cardiac CT-derived HAA was measured at 1-3 visits. Twelve percent of participants reported eating at least 1 serving of rice daily. Comparing data between that group with those who ate less than 1 serving weekly, the mean difference for forced vital capacity was -102 (95% confidence interval (CI): -198, -7) mL, and for forced expiratory volume in 1 second was -90 (95% CI: -170, -11) mL after adjustment for demographics, anthropometrics, dietary factors, and smoking. The cross-sectional adjusted percent difference for total lung capacity was -1.33% (95% CI: -4.29, 1.72) and for cardiac-based HAA was 3.66% (95% CI: 1.22, 6.15). Sensitivity analyses for urinary arsenic were consistent with rice findings. Daily rice consumption was associated with reduced lung function and greater cardiac-based HAA.
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28
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Jones MR, Joshu CE, Navas-Acien A, Platz EA. Racial/Ethnic Differences in Duration of Smoking Among Former Smokers in the National Health and Nutrition Examination Surveys. Nicotine Tob Res 2019; 20:303-311. [PMID: 28003510 DOI: 10.1093/ntr/ntw326] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 12/10/2016] [Indexed: 01/22/2023]
Abstract
Introduction The burden of tobacco-related disease is not uniformly distributed across racial/ethnic groups. Differences in smoking duration by race/ethnicity may contribute to this disparity. Previous studies have examined racial/ethnic differences in smoking duration among ever smokers (former and current smokers combined). It is unknown if racial/ethnic differences in smoking duration are evident among quitters. This study examined racial/ethnic differences in duration of smoking among former smokers in the United States. Methods We studied 6030 white, black, and Mexican-American former smokers (3647 men and 2383 women) aged 20-79 years who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 through 2012. Mean differences in smoking duration by race/ethnicity were estimated using linear regression models. Results After adjustment for demographics, age at smoking initiation and smoking intensity, compared to white men, black men smoked for 2.3 (95% confidence interval [CI]: 1.3, 3.3) years longer before quitting and Mexican-American men for 0.2 (95% CI: -1.6, 1.2) years less before quitting. Compared to white women, black women smoked for 1.9 (95% CI: 0.7, 3.0) years longer before quitting and Mexican-American women for 0.9 (95% CI: -2.4, 0.5) years less before quitting. Conclusions In a representative sample of US adults, black former smokers continued smoking for longer periods before quitting compared to white former smokers. These findings support the need for smoking cessation efforts that address racial/ethnic differences in smoking behaviors. The longer time to quit among black former smokers should be investigated as an explanation for racial/ethnic disparities in smoking-associated diseases. Implications In a representative sample of US adults that successfully quit smoking, the timing of smoking cessation differed by race/ethnicity with blacks smoking for longer periods before quitting compared to whites. Racial/ethnic differences in duration of smoking among former smokers differed by participant age and age at smoking initiation. These findings support the need for smoking cessation efforts that address racial/ethnic differences in smoking behaviors.
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Affiliation(s)
- Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| | - Ana Navas-Acien
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Department of Environmental Health Sciences, Columbia University, Mailman School of Public Health, New York, NY
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD.,Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD
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29
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Stern SA, Weaver HA, Spencer JR, Olkin CB, Gladstone GR, Grundy WM, Moore JM, Cruikshank DP, Elliott HA, McKinnon WB, Parker JW, Verbiscer AJ, Young LA, Aguilar DA, Albers JM, Andert T, Andrews JP, Bagenal F, Banks ME, Bauer BA, Bauman JA, Bechtold KE, Beddingfield CB, Behrooz N, Beisser KB, Benecchi SD, Bernardoni E, Beyer RA, Bhaskaran S, Bierson CJ, Binzel RP, Birath EM, Bird MK, Boone DR, Bowman AF, Bray VJ, Britt DT, Brown LE, Buckley MR, Buie MW, Buratti BJ, Burke LM, Bushman SS, Carcich B, Chaikin AL, Chavez CL, Cheng AF, Colwell EJ, Conard SJ, Conner MP, Conrad CA, Cook JC, Cooper SB, Custodio OS, Dalle Ore CM, Deboy CC, Dharmavaram P, Dhingra RD, Dunn GF, Earle AM, Egan AF, Eisig J, El-Maarry MR, Engelbrecht C, Enke BL, Ercol CJ, Fattig ED, Ferrell CL, Finley TJ, Firer J, Fischetti J, Folkner WM, Fosbury MN, Fountain GH, Freeze JM, Gabasova L, Glaze LS, Green JL, Griffith GA, Guo Y, Hahn M, Hals DW, Hamilton DP, Hamilton SA, Hanley JJ, Harch A, Harmon KA, Hart HM, Hayes J, Hersman CB, Hill ME, Hill TA, Hofgartner JD, Holdridge ME, Horányi M, Hosadurga A, Howard AD, Howett CJA, Jaskulek SE, Jennings DE, Jensen JR, Jones MR, Kang HK, Katz DJ, Kaufmann DE, Kavelaars JJ, Keane JT, Keleher GP, Kinczyk M, Kochte MC, Kollmann P, Krimigis SM, Kruizinga GL, Kusnierkiewicz DY, Lahr MS, Lauer TR, Lawrence GB, Lee JE, Lessac-Chenen EJ, Linscott IR, Lisse CM, Lunsford AW, Mages DM, Mallder VA, Martin NP, May BH, McComas DJ, McNutt RL, Mehoke DS, Mehoke TS, Nelson DS, Nguyen HD, Núñez JI, Ocampo AC, Owen WM, Oxton GK, Parker AH, Pätzold M, Pelgrift JY, Pelletier FJ, Pineau JP, Piquette MR, Porter SB, Protopapa S, Quirico E, Redfern JA, Regiec AL, Reitsema HJ, Reuter DC, Richardson DC, Riedel JE, Ritterbush MA, Robbins SJ, Rodgers DJ, Rogers GD, Rose DM, Rosendall PE, Runyon KD, Ryschkewitsch MG, Saina MM, Salinas MJ, Schenk PM, Scherrer JR, Schlei WR, Schmitt B, Schultz DJ, Schurr DC, Scipioni F, Sepan RL, Shelton RG, Showalter MR, Simon M, Singer KN, Stahlheber EW, Stanbridge DR, Stansberry JA, Steffl AJ, Strobel DF, Stothoff MM, Stryk T, Stuart JR, Summers ME, Tapley MB, Taylor A, Taylor HW, Tedford RM, Throop HB, Turner LS, Umurhan OM, Van Eck J, Velez D, Versteeg MH, Vincent MA, Webbert RW, Weidner SE, Weigle GE, Wendel JR, White OL, Whittenburg KE, Williams BG, Williams KE, Williams SP, Winters HL, Zangari AM, Zurbuchen TH. Initial results from the New Horizons exploration of 2014 MU 69, a small Kuiper Belt object. Science 2019; 364:364/6441/eaaw9771. [PMID: 31097641 DOI: 10.1126/science.aaw9771] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 04/16/2019] [Indexed: 11/02/2022]
Abstract
The Kuiper Belt is a distant region of the outer Solar System. On 1 January 2019, the New Horizons spacecraft flew close to (486958) 2014 MU69, a cold classical Kuiper Belt object approximately 30 kilometers in diameter. Such objects have never been substantially heated by the Sun and are therefore well preserved since their formation. We describe initial results from these encounter observations. MU69 is a bilobed contact binary with a flattened shape, discrete geological units, and noticeable albedo heterogeneity. However, there is little surface color or compositional heterogeneity. No evidence for satellites, rings or other dust structures, a gas coma, or solar wind interactions was detected. MU69's origin appears consistent with pebble cloud collapse followed by a low-velocity merger of its two lobes.
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Affiliation(s)
- S A Stern
- Southwest Research Institute, Boulder, CO 80302, USA.
| | - H A Weaver
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J R Spencer
- Southwest Research Institute, Boulder, CO 80302, USA
| | - C B Olkin
- Southwest Research Institute, Boulder, CO 80302, USA
| | - G R Gladstone
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - W M Grundy
- Lowell Observatory, Flagstaff, AZ 86001, USA
| | - J M Moore
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA
| | - D P Cruikshank
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA
| | - H A Elliott
- Southwest Research Institute, San Antonio, TX 78238, USA.,Department of Physics and Astronomy, University of Texas, San Antonio, TX 78249, USA
| | - W B McKinnon
- Department of Earth and Planetary Sciences and McDonnell Center for the Space Sciences, Washington University, St. Louis, MO 63130, USA
| | - J Wm Parker
- Southwest Research Institute, Boulder, CO 80302, USA
| | - A J Verbiscer
- Department of Astronomy, University of Virginia, Charlottesville, VA 22904, USA
| | - L A Young
- Southwest Research Institute, Boulder, CO 80302, USA
| | - D A Aguilar
- Independent consultant, Carbondale, CO 81623, USA
| | - J M Albers
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - T Andert
- Universität der Bundeswehr München, Neubiberg 85577, Germany
| | - J P Andrews
- Southwest Research Institute, Boulder, CO 80302, USA
| | - F Bagenal
- Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO 80303, USA
| | - M E Banks
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | - B A Bauer
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - K E Bechtold
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - C B Beddingfield
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - N Behrooz
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - K B Beisser
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - S D Benecchi
- Planetary Science Institute, Tucson, AZ 85719, USA
| | - E Bernardoni
- Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO 80303, USA
| | - R A Beyer
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - S Bhaskaran
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - C J Bierson
- Earth and Planetary Science Department, University of California, Santa Cruz, CA 95064, USA
| | - R P Binzel
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - E M Birath
- Southwest Research Institute, Boulder, CO 80302, USA
| | - M K Bird
- Argelander-Institut für Astronomie, University of Bonn, Bonn D-53121, Germany.,Rheinisches Institut für Umweltforschung, Universität zu Köln, Cologne 50931, Germany
| | - D R Boone
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - A F Bowman
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - V J Bray
- Lunar and Planetary Laboratory, University of Arizona, Tucson, AZ 85721, USA
| | - D T Britt
- Department of Physics, University of Central Florida, Orlando, FL 32816, USA
| | - L E Brown
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M R Buckley
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M W Buie
- Southwest Research Institute, Boulder, CO 80302, USA
| | - B J Buratti
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - L M Burke
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - S S Bushman
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - B Carcich
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA.,Cornell University, Ithaca, NY 14853, USA
| | - A L Chaikin
- Independent science writer, Arlington, VT 05250, USA
| | - C L Chavez
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - A F Cheng
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - E J Colwell
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - S J Conard
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M P Conner
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - C A Conrad
- Southwest Research Institute, Boulder, CO 80302, USA
| | - J C Cook
- Pinhead Institute, Telluride, CO 81435, USA
| | - S B Cooper
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - O S Custodio
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - C M Dalle Ore
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - C C Deboy
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - P Dharmavaram
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - G F Dunn
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - A M Earle
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - A F Egan
- Southwest Research Institute, Boulder, CO 80302, USA
| | - J Eisig
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M R El-Maarry
- Department of Earth and Planetary Sciences, Birkbeck, University of London, London WC1E 7HX, UK
| | - C Engelbrecht
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - B L Enke
- Southwest Research Institute, Boulder, CO 80302, USA
| | - C J Ercol
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - E D Fattig
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - C L Ferrell
- Southwest Research Institute, Boulder, CO 80302, USA
| | - T J Finley
- Southwest Research Institute, Boulder, CO 80302, USA
| | - J Firer
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - W M Folkner
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - M N Fosbury
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - G H Fountain
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J M Freeze
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - L Gabasova
- University Grenoble Alpes, Centre National de la Recherche Scientifique, Institut de Planétologie et d'Astrophysique de Grenoble, 38000 Grenoble, France
| | - L S Glaze
- NASA Headquarters, Washington, DC 20546, USA
| | - J L Green
- NASA Headquarters, Washington, DC 20546, USA
| | - G A Griffith
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - Y Guo
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M Hahn
- Rheinisches Institut für Umweltforschung, Universität zu Köln, Cologne 50931, Germany
| | - D W Hals
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D P Hamilton
- Department of Astronomy, University of Maryland, College Park, MD 20742, USA
| | - S A Hamilton
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J J Hanley
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - A Harch
- Cornell University, Ithaca, NY 14853, USA
| | - K A Harmon
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - H M Hart
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J Hayes
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - C B Hersman
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M E Hill
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - T A Hill
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J D Hofgartner
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - M E Holdridge
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M Horányi
- Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO 80303, USA
| | - A Hosadurga
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - A D Howard
- Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
| | - C J A Howett
- Southwest Research Institute, Boulder, CO 80302, USA
| | - S E Jaskulek
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D E Jennings
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | - J R Jensen
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M R Jones
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - H K Kang
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D J Katz
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D E Kaufmann
- Southwest Research Institute, Boulder, CO 80302, USA
| | - J J Kavelaars
- National Research Council of Canada, Victoria, BC V9E 2E7, Canada
| | - J T Keane
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - G P Keleher
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M Kinczyk
- Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - M C Kochte
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - P Kollmann
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - S M Krimigis
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - G L Kruizinga
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - D Y Kusnierkiewicz
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M S Lahr
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - T R Lauer
- National Optical Astronomy Observatory, Tucson, AZ 26732, USA
| | - G B Lawrence
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J E Lee
- NASA Marshall Space Flight Center, Huntsville, AL 35812, USA
| | | | - I R Linscott
- Independent consultant, Mountain View, CA 94043, USA
| | - C M Lisse
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - A W Lunsford
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | - D M Mages
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - V A Mallder
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - N P Martin
- Independent consultant, Crested Butte, CO 81224, USA
| | - B H May
- Independent collaborator, Windlesham GU20 6YW, UK
| | - D J McComas
- Southwest Research Institute, San Antonio, TX 78238, USA.,Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA
| | - R L McNutt
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D S Mehoke
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - T S Mehoke
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - H D Nguyen
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - J I Núñez
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - A C Ocampo
- NASA Headquarters, Washington, DC 20546, USA
| | - W M Owen
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - G K Oxton
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - A H Parker
- Southwest Research Institute, Boulder, CO 80302, USA
| | - M Pätzold
- Rheinisches Institut für Umweltforschung, Universität zu Köln, Cologne 50931, Germany
| | | | | | - J P Pineau
- Stellar Solutions, Palo Alto, CA 94306, USA
| | - M R Piquette
- Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO 80303, USA
| | - S B Porter
- Southwest Research Institute, Boulder, CO 80302, USA
| | - S Protopapa
- Southwest Research Institute, Boulder, CO 80302, USA
| | - E Quirico
- University Grenoble Alpes, Centre National de la Recherche Scientifique, Institut de Planétologie et d'Astrophysique de Grenoble, 38000 Grenoble, France
| | - J A Redfern
- Southwest Research Institute, Boulder, CO 80302, USA
| | - A L Regiec
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - D C Reuter
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | - D C Richardson
- Department of Astronomy, University of Maryland, College Park, MD 20742, USA
| | - J E Riedel
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - M A Ritterbush
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - S J Robbins
- Southwest Research Institute, Boulder, CO 80302, USA
| | - D J Rodgers
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - G D Rogers
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D M Rose
- Southwest Research Institute, Boulder, CO 80302, USA
| | - P E Rosendall
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - K D Runyon
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M G Ryschkewitsch
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - M M Saina
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - P M Schenk
- Lunar and Planetary Institute, Houston, TX 77058, USA
| | - J R Scherrer
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - W R Schlei
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - B Schmitt
- University Grenoble Alpes, Centre National de la Recherche Scientifique, Institut de Planétologie et d'Astrophysique de Grenoble, 38000 Grenoble, France
| | - D J Schultz
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D C Schurr
- NASA Headquarters, Washington, DC 20546, USA
| | - F Scipioni
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - R L Sepan
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - R G Shelton
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - M Simon
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - K N Singer
- Southwest Research Institute, Boulder, CO 80302, USA
| | - E W Stahlheber
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | - J A Stansberry
- Space Telescope Science Institute, Baltimore, MD 21218, USA
| | - A J Steffl
- Southwest Research Institute, Boulder, CO 80302, USA
| | - D F Strobel
- Johns Hopkins University, Baltimore, MD 21218, USA
| | - M M Stothoff
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - T Stryk
- Roane State Community College, Oak Ridge, TN 37830, USA
| | - J R Stuart
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - M E Summers
- George Mason University, Fairfax, VA 22030, USA
| | - M B Tapley
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - A Taylor
- KinetX Aerospace, Tempe, AZ 85284, USA
| | - H W Taylor
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - R M Tedford
- Southwest Research Institute, Boulder, CO 80302, USA
| | - H B Throop
- Planetary Science Institute, Tucson, AZ 85719, USA
| | - L S Turner
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - O M Umurhan
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - J Van Eck
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - D Velez
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - M H Versteeg
- Southwest Research Institute, San Antonio, TX 78238, USA
| | - M A Vincent
- Southwest Research Institute, Boulder, CO 80302, USA
| | - R W Webbert
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - S E Weidner
- Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA
| | - G E Weigle
- Independent consultant, Burden, KS 67019, USA
| | - J R Wendel
- NASA Headquarters, Washington, DC 20546, USA
| | - O L White
- NASA Ames Research Center, Space Science Division, Moffett Field, CA 94035, USA.,SETI Institute, Mountain View, CA 94043, USA
| | - K E Whittenburg
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | | | | | - S P Williams
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - H L Winters
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - A M Zangari
- Southwest Research Institute, Boulder, CO 80302, USA
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Navas-Acien A, Sanchez TR, Mann K, Jones MR. Arsenic Exposure and Cardiovascular Disease: Evidence Needed to Inform the Dose-Response at Low Levels. CURR EPIDEMIOL REP 2019. [DOI: 10.1007/s40471-019-00186-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Teter B, Morihara T, Lim GP, Chu T, Jones MR, Zuo X, Paul RM, Frautschy SA, Cole GM. Curcumin restores innate immune Alzheimer's disease risk gene expression to ameliorate Alzheimer pathogenesis. Neurobiol Dis 2019; 127:432-448. [PMID: 30951849 DOI: 10.1016/j.nbd.2019.02.015] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 02/15/2019] [Accepted: 02/20/2019] [Indexed: 01/28/2023] Open
Abstract
Alzheimer's disease (AD) genetics implies a causal role for innate immune genes, TREM2 and CD33, products that oppose each other in the downstream Syk tyrosine kinase pathway, activating microglial phagocytosis of amyloid (Aβ). We report effects of low (Curc-lo) and high (Curc-hi) doses of curcumin on neuroinflammation in APPsw transgenic mice. Results showed that Curc-lo decreased CD33 and increased TREM2 expression (predicted to decrease AD risk) and also increased TyroBP, which controls a neuroinflammatory gene network implicated in AD as well as phagocytosis markers CD68 and Arg1. Curc-lo coordinately restored tightly correlated relationships between these genes' expression levels, and decreased expression of genes characteristic of toxic pro-inflammatory M1 microglia (CD11b, iNOS, COX-2, IL1β). In contrast, very high dose curcumin did not show these effects, failed to clear amyloid plaques, and dysregulated gene expression relationships. Curc-lo stimulated microglial migration to and phagocytosis of amyloid plaques both in vivo and in ex vivo assays of sections of human AD brain and of mouse brain. Curcumin also reduced levels of miR-155, a micro-RNA reported to drive a neurodegenerative microglial phenotype. In conditions without amyloid (human microglial cells in vitro, aged wild-type mice), Curc-lo similarly decreased CD33 and increased TREM2. Like curcumin, anti-Aβ antibody (also reported to engage the Syk pathway, increase CD68, and decrease amyloid burden in human and mouse brain) increased TREM2 in APPsw mice and decreased amyloid in human AD sections ex vivo. We conclude that curcumin is an immunomodulatory treatment capable of emulating anti-Aβ vaccine in stimulating phagocytic clearance of amyloid by reducing CD33 and increasing TREM2 and TyroBP, while restoring neuroinflammatory networks implicated in neurodegenerative diseases.
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Affiliation(s)
- B Teter
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America; Alzheimer's Translational Center, Veterans Administration (Research 151), Bldg. 114, Rm. 114-1, 11301 Wilshire Blvd, Los Angeles, CA 90073, United States of America.
| | - T Morihara
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America.
| | - G P Lim
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America
| | - T Chu
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America
| | - M R Jones
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America
| | - X Zuo
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America
| | - R M Paul
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Medicine, University of California, Los Angeles (UCLA), United States of America
| | - S A Frautschy
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Medicine, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America.
| | - G M Cole
- Departments of Neurology, Geriatric Research Education and Clinical Centerand, University of California, Los Angeles (UCLA), United States of America; Departments of Medicine, University of California, Los Angeles (UCLA), United States of America; Departments of Veterans Affairs Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, University of California, Los Angeles (UCLA), United States of America.
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Jones MR, Tellez-Plaza M, Vaidya D, Grau-Perez M, Post WS, Kaufman JD, Guallar E, Francesconi KA, Goessler W, Nachman KE, Sanchez TR, Navas-Acien A. Ethnic, geographic and dietary differences in arsenic exposure in the multi-ethnic study of atherosclerosis (MESA). J Expo Sci Environ Epidemiol 2019; 29:310-322. [PMID: 29795237 PMCID: PMC6252166 DOI: 10.1038/s41370-018-0042-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 10/03/2017] [Accepted: 01/27/2018] [Indexed: 05/18/2023]
Abstract
Differences in residential location as well as race/ethnicity and dietary habits may result in differences in inorganic arsenic (iAs) exposure. We investigated the association of exposure to iAs with race/ethnicity, geography, and dietary intake in a random sample of 310 White, Black, Hispanic, and Chinese adults in the Multi-Ethnic Study of Atherosclerosis from 6 US cities with inorganic and methylated arsenic (ΣAs) measured in urine. Dietary intake was assessed by food-frequency questionnaire. Chinese and Hispanic race/ethnicity was associated with 82% (95% CI: 46%, 126%) and 37% (95% CI: 10%, 70%) higher urine arsenic concentrations, respectively, compared to White participants. No differences were observed for Black participants compared to Whites. Urine arsenic concentrations were higher for participants in Los Angeles, Chicago, and New York compared to other sites. Participants that ate rice ≥2 times/week had 31% higher urine arsenic compared to those that rarely/never consumed rice. Participants that drank wine ≥2 times/week had 23% higher urine arsenic compared to rare/never wine drinkers. Intake of poultry or non-rice grains was not associated with urinary arsenic concentrations. At the low-moderate levels typical of the US population, exposure to iAs differed by race/ethnicity, geographic location, and frequency of rice and wine intake.
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Affiliation(s)
- Miranda R Jones
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
| | - Maria Tellez-Plaza
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Institute for Biomedical Research Hospital Clinico de Valencia-INCLIVA, Valencia, Spain
| | - Dhananjay Vaidya
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Maria Grau-Perez
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences,School of Public Health, University of Washington, Seattle, WA, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | | | | | - Keeve E Nachman
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tiffany R Sanchez
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA
| | - Ana Navas-Acien
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA
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Haugen CE, Chu NM, Ying H, Warsame F, Holscher CM, Desai NM, Jones MR, Norman SP, Brennan DC, Garonzik-Wang J, Walston JD, Bingaman AW, Segev DL, McAdams-DeMarco M. Frailty and Access to Kidney Transplantation. Clin J Am Soc Nephrol 2019; 14:576-582. [PMID: 30890577 PMCID: PMC6450348 DOI: 10.2215/cjn.12921118] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 02/01/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND OBJECTIVES Frailty, a syndrome distinct from comorbidity and disability, is clinically manifested as a decreased resistance to stressors and is present in up to 35% of patient with ESKD. It is associated with falls, hospitalizations, poor cognitive function, and mortality. Also, frailty is associated with poor outcomes after kidney transplant, including delirium and mortality. Frailty is likely also associated with decreased access to kidney transplantation, given its association with poor outcomes on dialysis and post-transplant. Yet, clinicians have difficulty identifying which patients are frail; therefore, we sought to quantify if frail kidney transplant candidates had similar access to kidney transplantation as nonfrail candidates. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We studied 7078 kidney transplant candidates (2009-2018) in a three-center prospective cohort study of frailty. Fried frailty (unintentional weight loss, grip strength, walking speed, exhaustion, and activity level) was measured at outpatient kidney transplant evaluation. We estimated time to listing and transplant rate by frailty status using Cox proportional hazards and Poisson regression, adjusting for demographic and health factors. RESULTS The mean age was 54 years (SD 13; range, 18-89), 40% were women, 34% were black, and 21% were frail. Frail participants were almost half as likely to be listed for kidney transplantation (hazard ratio, 0.62; 95% confidence interval, 0.56 to 0.69; P<0.001) compared with nonfrail participants, independent of age and other demographic factors. Furthermore, frail candidates were transplanted 32% less frequently than nonfrail candidates (incidence rate ratio, 0.68; 95% confidence interval, 0.58 to 0.81; P<0.001). CONCLUSIONS Frailty is associated with lower chance of listing and lower rate of transplant, and is a potentially modifiable risk factor.
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Affiliation(s)
| | - Nadia M Chu
- Department of Surgery.,Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | | | | | | | | | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | | | - Daniel C Brennan
- Division of Geriatrics, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Jeremy D Walston
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan; and
| | - Adam W Bingaman
- Department of Surgery, Methodist Specialty and Transplant Hospital, San Antonio, Texas
| | - Dorry L Segev
- Department of Surgery.,Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Mara McAdams-DeMarco
- Department of Surgery, .,Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
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Zuo H, Ueland PM, Midttun Ø, Tell GS, Fanidi A, Zheng W, Shu X, Xiang Y, Wu J, Prentice R, Pettinger M, Thomson CA, Giles GG, Hodge A, Cai Q, Blot WJ, Johansson M, Hultdin J, Grankvist K, Stevens VL, McCullough ML, Weinstein SJ, Albanes D, Ziegler RG, Freedman ND, Caporaso NE, Langhammer A, Hveem K, Næss M, Buring JE, Lee I, Gaziano JM, Severi G, Zhang X, Stampfer MJ, Han J, Zeleniuch-Jacquotte A, Marchand LL, Yuan J, Wang R, Koh W, Gao Y, Ericson U, Visvanathan K, Jones MR, Relton C, Brennan P, Johansson M, Ulvik A. Vitamin B6 catabolism and lung cancer risk: results from the Lung Cancer Cohort Consortium (LC3). Ann Oncol 2019; 30:478-485. [PMID: 30698666 PMCID: PMC6442648 DOI: 10.1093/annonc/mdz002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Increased vitamin B6 catabolism related to inflammation, as measured by the PAr index (the ratio of 4-pyridoxic acid over the sum of pyridoxal and pyridoxal-5'-phosphate), has been positively associated with lung cancer risk in two prospective European studies. However, the extent to which this association translates to more diverse populations is not known. MATERIALS AND METHODS For this study, we included 5323 incident lung cancer cases and 5323 controls individually matched by age, sex, and smoking status within each of 20 prospective cohorts from the Lung Cancer Cohort Consortium. Cohort-specific odds ratios (ORs) and 95% confidence intervals (CIs) for the association between PAr and lung cancer risk were calculated using conditional logistic regression and pooled using random-effects models. RESULTS PAr was positively associated with lung cancer risk in a dose-response fashion. Comparing the fourth versus first quartiles of PAr resulted in an OR of 1.38 (95% CI: 1.19-1.59) for overall lung cancer risk. The association between PAr and lung cancer risk was most prominent in former smokers (OR: 1.69, 95% CI: 1.36-2.10), men (OR: 1.60, 95% CI: 1.28-2.00), and for cancers diagnosed within 3 years of blood draw (OR: 1.73, 95% CI: 1.34-2.23). CONCLUSION Based on pre-diagnostic data from 20 cohorts across 4 continents, this study confirms that increased vitamin B6 catabolism related to inflammation and immune activation is associated with a higher risk of developing lung cancer. Moreover, PAr may be a pre-diagnostic marker of lung cancer rather than a causal factor.
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Affiliation(s)
- H Zuo
- Department of Global Public Health and Primary Care, University of Bergen, Bergen.
| | - P M Ueland
- Department of Clinical Science, University of Bergen, Bergen; Laboratory of Medicine and Pathology, Haukeland University Hospital, Bergen
| | | | - G S Tell
- Department of Global Public Health and Primary Care, University of Bergen, Bergen
| | - A Fanidi
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France; MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - W Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - X Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - Y Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - R Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle
| | - M Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle
| | - C A Thomson
- Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA
| | - G G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - A Hodge
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Q Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - W J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - M Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå
| | - J Hultdin
- Department of Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | - K Grankvist
- Department of Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | - V L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta
| | - M L McCullough
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta
| | - S J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - D Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - R G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - N D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - N E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - A Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - K Hveem
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - M Næss
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - J E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston
| | - I Lee
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston
| | - J M Gaziano
- Division of Aging, Brigham and Women's Hospital, Boston; VA Boston Healthcare System, Boston, USA
| | - G Severi
- Human Genetics Foundation (HuGeF), Torin, Italy; CESP (U1018 INSERM), Université Paris-Saclay, USQ, Villejuif, France
| | - X Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston
| | - M J Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston
| | - J Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, Indianapolis
| | | | - L L Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu
| | - J Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
| | - R Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh
| | - W Koh
- Duke-NUS Medical School, Singapore and Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Y Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - U Ericson
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - K Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Sidney Kimmel Comprehensive Center, School of Medicine, Baltimore, USA
| | - M R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Sidney Kimmel Comprehensive Center, School of Medicine, Baltimore, USA
| | - C Relton
- Institute of Genetic Medicine, Newcastle University, Newcastle; MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
| | - P Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - M Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
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35
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Abstract
OBJECTIVE Brain computer interface (BCI) technology can be important for those unable to communicate due to loss of muscle control. Given that the P300 Speller provides a relatively slow rate of communication, highly accurate classification is of great importance. Previous studies have shown that alternative stimuli (e.g. faces) can improve BCI speed and accuracy. The present study uses two new alternative stimuli, locations and graspable tools. Functional MRI studies have shown that images of familiar locations produce brain responses in the parahippocampal place area and graspable tools produce brain responses in premotor cortex. APPROACH The current studies show that location and tool stimuli produce unique and discriminable brain responses that can be used to improve offline classification accuracy. Experiment 1 presented face stimuli and location stimuli and Experiment 2 presented location and tool stimuli. MAIN RESULTS In both experiments, offline results showed that a stimulus specific classifier provided higher accuracy, speed, and bit rate. SIGNIFICANCE This study was used to provide preliminary offline support for using unique stimuli to improve speed and accuracy of the P300 Speller. Additional experiments should be conducted to examine the online efficacy of this novel paradigm.
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Affiliation(s)
- M R Jones
- East Tennessee State University, 1276 Gilbreath Dr, Johnson City, TN 37614, United States of America
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36
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Brower MA, Hai Y, Jones MR, Guo X, Chen YDI, Rotter JI, Krauss RM, Legro RS, Azziz R, Goodarzi MO. Bidirectional Mendelian randomization to explore the causal relationships between body mass index and polycystic ovary syndrome. Hum Reprod 2019; 34:127-136. [PMID: 30496407 PMCID: PMC6295958 DOI: 10.1093/humrep/dey343] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 10/17/2018] [Accepted: 11/01/2018] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION What are the causal relationships between polycystic ovary syndrome (PCOS) and body mass index (BMI)? SUMMARY ANSWER Bidirectional Mendelian randomization analyses suggest that increased BMI is causal for PCOS while the reverse is not the case. WHAT IS KNOWN ALREADY The contribution of obesity to the pathogenesis of PCOS is controversial. To date, published genetic studies addressing this question have generated conflicting results and have not utilized the full extent of known single nucleotide polymorphisms associated with body mass index (BMI). STUDY DESIGN, SIZE, DURATION This cross-sectional Mendelian randomization (MR) and genetic association study was conducted in 750 individuals of European origin and with PCOS and 1567 BMI-matched controls. PARTICIPANTS/MATERIALS, SETTING, METHODS Cases and controls were matched for BMI as well as for distribution of weight categories (normal weight, overweight, obese). Two-sample MR using inverse variance weighting (IVW) was conducted using a 92-SNP instrument variable for BMI with PCOS as the outcome, followed by two-sample MR with a 16-SNP instrument variable for PCOS with BMI as the outcome. Sensitivity analyses included MR-Egger and maximum likelihood methods. Secondary analyses assessed associations of genetic risk scores and individual SNPs with PCOS, BMI and quantitative androgen-related and glucose homeostasis-related traits. MAIN RESULTS AND THE ROLE OF CHANCE Each standard deviation genetically higher BMI was associated with a 4.89 (95% CI 1.46-16.32) higher odds of PCOS. Conversely, genetic risk of PCOS did not influence BMI. Sensitivity analyses yielded directionally consistent results. The genetic risk score of 92 BMI SNPs was associated with the diagnosis of PCOS (OR 1.043, 95% CI 1.009-1.078, P = 0.012). Of the 92 BMI risk variants evaluated, none were associated individually with PCOS after considering multiple testing. The association of FTO SNP rs1421085 with BMI was stronger in women with PCOS (β = 0.071, P = 0.0006) than in controls (β = 0.046, P = 0.065). LIMITATIONS, REASONS FOR CAUTION The current sample size, while providing good power for MR and genetic risk score analyses, had limited power to demonstrate association of individual SNPs with PCOS. Cases and controls were not matched for age; however, this was mitigated by adjusting analyses for age. Dietary and lifestyle data, which could have been used to explore the greater association of the FTO SNP with BMI in women with PCOS, was not available. WIDER IMPLICATIONS OF THE FINDINGS Increasing BMI appears to be causal for PCOS but having PCOS does not appear to affect BMI. This study used the most comprehensive set of SNPs for BMI currently available. Prior studies using fewer SNPs had yielded conflicting results and may have been confounded because cases and controls were not matched for weight categories. The current results highlight the potential utility of weight management in the prevention and treatment of PCOS. STUDY FUNDING/COMPETING INTEREST(S) National Institutes of Health Grants R01-HD29364 and K24-HD01346 (to R.A.), Grant R01-DK79888 (to M.O.G.), Grant U54-HD034449 (to R.S.L.), Grant U19-HL069757 (to R.M.K.). The funders had no influence on the data collection, analyses or conclusions of the study. No conflict of interests to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- M A Brower
- Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Y Hai
- Department of Statistics, University of Auckland, Auckland, New Zealand
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - M R Jones
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - X Guo
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Y -D I Chen
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R M Krauss
- Children’s Hospital of Oakland Research Institute, Oakland, CA, USA
| | - R S Legro
- Department of Obstetrics and Gynecology, Pennsylvania State College of Medicine, Hershey, PA, USA
| | - R Azziz
- Departments of Obstetrics and Gynecology and Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - M O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Hurwitz LM, Joshu CE, Barber JR, Prizment AE, Vitolins MZ, Jones MR, Folsom AR, Han M, Platz EA. Aspirin and Non-Aspirin NSAID Use and Prostate Cancer Incidence, Mortality, and Case Fatality in the Atherosclerosis Risk in Communities Study. Cancer Epidemiol Biomarkers Prev 2018; 28:563-569. [PMID: 30487131 DOI: 10.1158/1055-9965.epi-18-0965] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/17/2018] [Accepted: 11/20/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND NSAIDs appear to moderately reduce prostate cancer risk. However, evidence is limited on whether NSAIDs protect against prostate cancer mortality (death from prostate cancer among men without a cancer history) and case fatality (death from prostate cancer among men with prostate cancer), and whether benefits are consistent in white and black men. This study investigated associations of aspirin and non-aspirin (NA) NSAID use with prostate cancer incidence, mortality, and case fatality in a population-based cohort of white and black men. METHODS We included 6,594 men (5,060 white and 1,534 black) from the Atherosclerosis Risk in Communities study without a cancer history at enrollment from 1987 to 1989. NSAID use was assessed at four study visits (1987-1998). Cancer outcomes were ascertained through 2012. Cox proportional hazards regression was used to estimate adjusted HRs, overall and by race. RESULTS Aspirin use was not associated with prostate cancer incidence. However, aspirin use was inversely associated with prostate cancer mortality [HR, 0.59; 95% confidence interval (CI), 0.36-0.96]. This association was consistent among white and black men and appeared restricted to men using aspirin daily and/or for cardiovascular disease prevention. Aspirin use was inversely associated with case fatality (HR, 0.45; 95% CI, 0.22-0.94). NA-NSAID use was not associated with these endpoints. CONCLUSIONS Aspirin use was inversely associated with prostate cancer mortality and case fatality among white and black men. IMPACT If confirmed by additional studies, benefits of aspirin for preventing prostate cancer mortality may need to be factored into risk-benefit calculations of men considering an aspirin regimen.
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Affiliation(s)
- Lauren M Hurwitz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - John R Barber
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Anna E Prizment
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Mara Z Vitolins
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Misop Han
- Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. .,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.,Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
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38
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Le D, D'Souza G, Atnafou R, Matson PA, Jones MR, Moran MB. "It Felt Like I Was Smoking Nothing:" Examining E-cigarette Perception and Discontinuation among Young Adults. Health Behav Policy Rev 2018; 5:50-55. [PMID: 32490029 PMCID: PMC7266136 DOI: 10.14485/hbpr.5.6.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE In this study, we sought to understand why young adults from urban low-income regions discontinue using e-cigarettes. METHODS We recruited 97 tobacco users aged 18-26 years from Baltimore, Maryland to participate in 17 focus groups. Qualitative data were analyzed using framework analysis. RESULTS Being less satisfying than combustible tobacco, perceived cumulating costs, and negative physical effects were expressed as top reasons for never using or discontinuing the use of e-cigarettes. CONCLUSION Understanding why young adults discontinue e-cigarette use is critical to inform e-cigarette intervention efforts and public policy. If e-cigarettes are to be promoted as harm reduction devices for combustible tobacco users, it will be important to ensure that they are affordable, satisfying, and formulated to minimize negative physical effects.
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Affiliation(s)
- Daisy Le
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | | | | | - Miranda R Jones
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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39
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Abstract
Purpose of review Certain subgroups defined by sociodemographics (race/ethnicity, age, sex and socioeconomic status [SES]), geographic location (rural vs. urban), comorbid conditions and country economic conditions (developed vs. developing) may disproportionately suffer the adverse cardiovascular effects of exposure to ambient air pollution. Yet, previous reviews have had a broad focus on the general population without consideration of these potentially vulnerable populations. Recent findings Over the past decade, a wealth of epidemiologic studies have linked air pollutants including particulate matter, oxides of nitrogen, and carbon monoxide to cardiovascular disease (CVD) risk factors, subclinical CVD, clinical cardiovascular outcomes and cardiovascular mortality in certain susceptible populations. Highest risk for poor CVD outcomes from air pollution exist in racial/ethnic minorities, especially in blacks compared to whites in the U.S, those at low SES, elderly populations, women, those with certain comorbid conditions and developing countries compared to developed countries. However, findings are less consistent for urban compared to rural populations. Summary Vulnerable subgroups including racial/ethnic minorities, women, the elderly, smokers, diabetics and those with prior heart disease had higher risk for adverse cardiovascular outcomes from exposure to air pollution. There is limited data from developing countries where concentrations of air pollutants are more extreme and cardiovascular event rates are higher than that of developed countries. Further epidemiologic studies are needed to understand and address the marked disparities in CVD risk conferred by air pollution globally, particularly among these vulnerable subgroups.
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Affiliation(s)
- Martin Tibuakuu
- St. Luke's Hospital, Department of Medicine, Chesterfield, MO, USA.,Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University School of Public Health, New York, NY, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
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40
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García-Esquinas E, Jiménez A, Pastor-Barriuso R, Jones MR, Perez-Gomez B, Navas-Acien A, Tellez-Plaza M. Impact of declining exposure to secondhand tobacco smoke in public places to decreasing smoking-related cancer mortality in the US population. Environ Int 2018; 117:260-267. [PMID: 29775915 PMCID: PMC6136453 DOI: 10.1016/j.envint.2018.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 05/03/2018] [Accepted: 05/03/2018] [Indexed: 05/29/2023]
Abstract
BACKGROUND The major decrease in exposure to secondhand smoke (SHS) in public places in recent decades could have contributed to the decline in smoking-related cancer mortality observed in the US population. METHODS Prospective study among 11,856 non-smoking adults aged ≥40 years who participated in NHANES 1988-1994 or 1999-2004 and were followed for mortality through 2006. We estimated the amount of change in cancer mortality over time attributed to the intermediate pathway of changes in SHS exposure in public places, after adjustment for risk factors and SHS exposure at home. RESULTS The adjusted smoking-related cancer mortality rate ratios (95% CI) for a two-fold increase in serum cotinine and a 1-hour increase in occupational SHS exposure time were 1.10 (1.03, 1.17) and 1.14 (1.06, 1.24) for all-cancer, and 1.13 (1.03, 1.24) and 1.14 (1.02, 1.26) for smoking-related cancer, respectively. The absolute reduction in mortality comparing 1999-2004 to 1988-1994 was 75.8 (-25.5, 177.0) and 77.0 (2.6, 151.4) deaths/100,000 person-years, for all-cancer and smoking-related cancer, respectively. Among these avoided all-cancer deaths, 45.8 (2.8, 89.5) and 18.1 (-1.2, 39.6)/100,000 person-year were attributable to changes in serum cotinine concentrations and occupational SHS exposure time, respectively. The corresponding numbers of smoking-related cancer avoided deaths were 36.4 (0.7, 72.8) and 9.9 (-3.8, 24.9)/100,000 person-year. CONCLUSIONS Declines in SHS exposure were associated with reductions in all-cancer and smoking-related cancer mortality, supporting that smoking bans in public places may have reduced cancer mortality among non-smoking adults.
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Affiliation(s)
- Esther García-Esquinas
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid/IdiPaz and CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Angélica Jiménez
- Institute for Biomedical Research Hospital Clinic of Valencia (INCLIVA), Valencia, Spain
| | - Roberto Pastor-Barriuso
- National Center of Epidemiology, Carlos III Institutes of Health and CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Beatriz Perez-Gomez
- National Center of Epidemiology, Carlos III Institutes of Health and CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA.
| | - Maria Tellez-Plaza
- Institute for Biomedical Research Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
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41
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Hurwitz LM, Joshu CE, Barber JR, Prizment AE, Vitolins MZ, Jones MR, Folsom AR, Han M, Platz EA. Abstract 4947: Aspirin use and risk of lethal prostate cancer in the Atherosclerosis Risk in Communities cohort. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-4947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Aspirin is commonly used to treat pain and inflammation, and is recommended for some individuals for prevention of cardiovascular disease (CVD) and colorectal cancer. Observational studies suggest that aspirin use may also lower risk of prostate cancer. However, there is limited evidence on whether aspirin may protect against lethal prostate cancer in particular, and on whether benefits are consistent in black and white men. This study sought to determine the association between aspirin use and risk of total and lethal prostate cancer, overall and by race, among men in the Atherosclerosis Risk in Communities (ARIC) cohort.
Methods: The ARIC study enrolled individuals from four U.S. communities in 1987-89. This analysis was restricted to white and black men from this cohort who had non-missing data on aspirin use and were cancer-free at baseline. Aspirin use was assessed at four study visits (V1: 1987-89, V2: 1990-92, V3: 1993-95, V4: 1996-98). Indication for aspirin use was reported at V4. Cancer outcomes were ascertained through 2012. Cox proportional hazards regression was used to estimate cause-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for total incident prostate cancer and lethal prostate cancer, defined as cancer that was advanced at diagnosis or fatal during follow-up. Models were adjusted for race, study center, year of birth, education, and family history of prostate cancer (time-fixed), and smoking status, body mass index, use of statins, diabetes, and coronary heart disease (time-varying). Stratified models and likelihood ratio tests were used to test for effect modification by race.
Results: There were 6,594 men (5,060 white, 1,534 black) included in this analysis. Aspirin use was reported by 29%, 33%, 37% and 44% of men at V1, V2, V3, and V4, respectively. Through the end of 2012, 817 total incident prostate cancers, including 97 lethal prostate cancers, were diagnosed. Aspirin use was not associated with risk of total prostate cancer (HR 1.06, 95% CI 0.91-1.23). However, aspirin use was inversely associated with risk of lethal prostate cancer (HR 0.58, 95% CI 0.35-0.95). This association was consistent among both white men (HR 0.64, 95% CI 0.36-1.13) and black men (HR 0.47, 95% CI 0.16-1.35, p-interaction=0.45). When looked at by indication for use, the inverse association with lethal prostate cancer appeared to be only among men who reported using aspirin regularly for CVD prevention (HR 0.63, 95% CI 0.27-1.50).
Conclusions: Aspirin use was inversely associated with lethal prostate cancer, but not total prostate cancer, in this study population. The association was not modified by race and was possibly restricted to men who used aspirin regularly for CVD prevention. Support: NHLBI, NCI, NPCR
Citation Format: Lauren M. Hurwitz, Corinne E. Joshu, John R. Barber, Anna E. Prizment, Mara Z. Vitolins, Miranda R. Jones, Aaron R. Folsom, Misop Han, Elizabeth A. Platz. Aspirin use and risk of lethal prostate cancer in the Atherosclerosis Risk in Communities cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4947.
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Affiliation(s)
| | | | - John R. Barber
- 1Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Anna E. Prizment
- 2University of Minnesota School of Public Health, Minneapolis, MN
| | | | | | - Aaron R. Folsom
- 2University of Minnesota School of Public Health, Minneapolis, MN
| | - Misop Han
- 4Johns Hopkins University School of Medicine, Baltimore, MD
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42
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Theofylaktopoulou D, Midttun Ø, Ueland PM, Meyer K, Fanidi A, Zheng W, Shu XO, Xiang YB, Prentice R, Pettinger M, Thomson CA, Giles GG, Hodge A, Cai Q, Blot WJ, Wu J, Johansson M, Hultdin J, Grankvist K, Stevens VL, McCullough MM, Weinstein SJ, Albanes D, Ziegler R, Freedman ND, Langhammer A, Hveem K, Næss M, Sesso HD, Gaziano JM, Buring JE, Lee IM, Severi G, Zhang X, Stampfer MJ, Han J, Smith-Warner SA, Zeleniuch-Jacquotte A, le Marchand L, Yuan JM, Wang R, Butler LM, Koh WP, Gao YT, Rothman N, Ericson U, Sonestedt E, Visvanathan K, Jones MR, Relton C, Brennan P, Johansson M, Ulvik A. Impaired functional vitamin B6 status is associated with increased risk of lung cancer. Int J Cancer 2018; 142:2425-2434. [PMID: 29238985 PMCID: PMC5908731 DOI: 10.1002/ijc.31215] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 10/27/2017] [Accepted: 11/22/2017] [Indexed: 12/21/2022]
Abstract
Circulating vitamin B6 levels have been found to be inversely associated with lung cancer. Most studies have focused on the B6 form pyridoxal 5'-phosphate (PLP), a direct biomarker influenced by inflammation and other factors. Using a functional B6 marker allows further investigation of the potential role of vitamin B6 status in the pathogenesis of lung cancer. We prospectively evaluated the association of the functional marker of vitamin B6 status, the 3-hydroxykynurenine:xanthurenic acid (HK:XA) ratio, with risk of lung cancer in a nested case-control study consisting of 5,364 matched case-control pairs from the Lung Cancer Cohort Consortium (LC3). We used conditional logistic regression to evaluate the association between HK:XA and lung cancer, and random effect models to combine results from different cohorts and regions. High levels of HK:XA, indicating impaired functional B6 status, were associated with an increased risk of lung cancer, the odds ratio comparing the fourth and the first quartiles (OR4thvs.1st ) was 1.25 (95% confidence interval, 1.10-1.41). Stratified analyses indicated that this association was primarily driven by cases diagnosed with squamous cell carcinoma. Notably, the risk associated with HK:XA was approximately 50% higher in groups with a high relative frequency of squamous cell carcinoma, i.e., men, former and current smokers. This risk of squamous cell carcinoma was present in both men and women regardless of smoking status.
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Affiliation(s)
| | | | - Per M. Ueland
- Department of Clinical Science, University of Bergen, Norway
- Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway
| | | | - Anouar Fanidi
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - Yong-Bing Xiang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ross Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer research Center, Seattle, USA
| | - Mary Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer research Center, Seattle, USA
| | - Cynthia A. Thomson
- Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Allison Hodge
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - Jie Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Johan Hultdin
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | | | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Regina Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristian Hveem
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marit Næss
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Howard D. Sesso
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Aging, Brigham and Women’s Hospital, Boston, MA USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Julie E. Buring
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gianluca Severi
- Human Genetics Foundation (HuGeF), Torino, Italy
- CESP (U1018 INSERM), Facultés de médecine Université Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Meir J. Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiali Han
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Stephanie A. Smith-Warner
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Loic le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
| | - Lesley M. Butler
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Duke-NUS Medical School, Singapore and Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute; Rockville, USA
| | - Ulrika Ericson
- Department of clinical sciences Malmö, Lund University, Sweden
| | - Emily Sonestedt
- Department of clinical sciences Malmö, Lund University, Sweden
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Sidney Kimmel Comprehensive Center, School of Medicine, USA
| | - Miranda R. Jones
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Sidney Kimmel Comprehensive Center, School of Medicine, USA
| | - Caroline Relton
- Institute of Genetic Medicine, Newcastle University, Newcastle, UK
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
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Balakrishnan P, Jones MR, Vaidya D, Tellez-Plaza M, Post WS, Kaufman JD, Bielinski SJ, Taylor K, Francesconi K, Goessler W, Navas-Acien A. Ethnic, Geographic, and Genetic Differences in Arsenic Metabolism at Low Arsenic Exposure: A Preliminary Analysis in the Multi-Ethnic Study of Atherosclerosis (MESA). Int J Environ Res Public Health 2018; 15:E1179. [PMID: 29874848 PMCID: PMC6025014 DOI: 10.3390/ijerph15061179] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 05/25/2018] [Accepted: 05/27/2018] [Indexed: 12/31/2022]
Abstract
We investigated the effect of candidate variants in AS3MT (arsenic (III) methyltransferase) with urinary arsenic metabolites and their principal components in a subset of 264 participants in the Multi-Ethnic Study of Atherosclerosis (MESA). Urinary arsenic species, including inorganic arsenic (iAs), monomethylarsonate (MMA), dimethylarsinate (DMA), and arsenobetaine (Ab), were measured using high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICPMS) and corrected for organic sources from seafood consumption by regressing Ab on arsenic species using a validated method. Principal components of arsenic metabolism were also used as independent phenotypes. We conducted linear regression of arsenic traits with allelic dosage of candidate single nucleotide polymorphisms (SNPs) rs12768205 (G > A), rs3740394 (A > G), and rs3740393 (G > C) measured using Illumina MetaboChip. Models were stratified by non-Hispanic white vs. all other race/ethnicity and adjusted for age, sex, arsenic exposure, study site, and population stratification. Consistent with previous studies, rs12768205 showed evidence for strongest association (non-Hispanic white: iAs% -0.14 (P 0.83), MMA% -0.66 (0.49), DMA% 0.81(0.49); other race/ethnicity: 0.13 (0.71), -1.21 (0.09), 1.08 (0.20)). No association, however, passed the strict Bonferroni p-value. This was a novel study among an ethnically diverse population exposed to low arsenic levels.
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Affiliation(s)
- Poojitha Balakrishnan
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA.
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
| | - Dhananjay Vaidya
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
| | - Maria Tellez-Plaza
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
- Fundación de Investigación Hospital Clínico de Valencia INCLIVA, Valencia 46010, Spain.
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA.
| | - Suzette J Bielinski
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
| | - Kent Taylor
- Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, CA 90502, USA.
| | | | - Walter Goessler
- Institute of Chemistry, University of Graz, 8010 Graz, Austria.
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
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44
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Czaplicki L, Cohen JE, Jones MR, Clegg Smith K, Rutkow L, Owczarzak J. Compliance with the City of Chicago's partial ban on menthol cigarette sales. Tob Control 2018; 28:161-167. [PMID: 29853559 DOI: 10.1136/tobaccocontrol-2018-054319] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 05/01/2018] [Accepted: 05/04/2018] [Indexed: 11/04/2022]
Abstract
INTRODUCTION In the USA, menthol cigarettes are associated with smoking initiation and decreased likelihood of cessation, particularly for low-income and non-White populations. Local ordinances to restrict menthol cigarette sales are an emergent policy option. In July 2016, Chicago, Illinois became the first major US city to ban menthol cigarette sales within 500 feet of schools. This study assessed ban compliance in June 2017. METHODS We randomly selected 100 of 154 stores within 500 feet of a high school. Ninety stores were included in the analysis, excluding permanently closed stores or stores that did not sell tobacco prior to the ban. Compliance was determined by whether a menthol cigarette pack was purchased. We also assessed presence of menthol cigarette replacement packs. Multivariable logistic regression modelled compliance by store type, school (distance to high school, school type) and neighbourhood-level factors (poverty level, proportion of non-White residents). RESULTS Compliance rate was 57% (weighted, n=53) and no replacement packs were observed. Non-compliant stores were more likely to advertise menthol cigarettes, but ads were present in eight compliant stores. Gas stations had 81% lower odds (OR=0.19, 95% CI 0.06 to 0.58) of complying with the menthol cigarette ban compared with larger/chain stores. School-level and neighbourhood factors were not associated with compliance. DISCUSSION The poor compliance observed with Chicago's partial menthol cigarette ban highlights the need for comprehensive efforts. Optimising local resources to target enforcement efforts in gas stations could improve compliance. Ordinances that also restrict advertising could potentially enhance ban impact by reducing exposure to product and promotions.
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Affiliation(s)
- Lauren Czaplicki
- Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Joanna E Cohen
- Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,Institute for Global Tobacco Control, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, Maryland, USA
| | - Katherine Clegg Smith
- Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,Institute for Global Tobacco Control, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Lainie Rutkow
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jill Owczarzak
- Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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45
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Jones MR, Lim H, Shen Y, Pleasance E, Ch'ng C, Reisle C, Leelakumari S, Zhao C, Yip S, Ho J, Zhong E, Ng T, Ionescu D, Schaeffer DF, Mungall AJ, Mungall KL, Zhao Y, Moore RA, Ma Y, Chia S, Ho C, Renouf DJ, Gelmon K, Jones SJM, Marra MA, Laskin J. Successful targeting of the NRG1 pathway indicates novel treatment strategy for metastatic cancer. Ann Oncol 2018; 28:3092-3097. [PMID: 28950338 DOI: 10.1093/annonc/mdx523] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background NRG1 fusion-positive lung cancers have emerged as potentially actionable events in lung cancer, but clinical support is currently limited and no evidence of efficacy of this approach in cancers beyond lung has been shown. Patients and methods Here, we describe two patients with advanced cancers refractory to standard therapies. Patient 1 had lung adenocarcinoma and patient 2 cholangiocarcinoma. Whole-genome and transcriptome sequencing were carried out for these cases with select findings validated by fluorescence in situ hybridization. Results Both tumors were found to be positive for NRG1 gene fusions. In patient 1, an SDC4-NRG1 gene fusion was detected, similar gene fusions having been described in lung cancers previously. In patient 2, a novel ATP1B1-NRG1 gene fusion was detected. Cholangiocarcinoma is not a disease type in which NRG1 fusions had been described previously. Integrative genome analysis was used to assess the potential functional significance of the detected genomic events including the gene fusions, prioritizing therapeutic strategies targeting the HER-family of growth factor receptors. Both patients were treated with the pan HER-family kinase inhibitor afatinib and both displayed significant and durable response to treatment. Upon progression sites of disease were sequenced. The lack of obvious genomic events to describe the disease progression indicated that broad transcriptomic or epigenetic mechanisms could be attributed to the lack of prolonged response to afatinib. Conclusion These observations lend further support to the use of pan HER-tyrosine kinase inhibitors for the treatment of NRG1 fusion-positive in both cancers of lung and hepatocellular origin and indicate more broadly that cancers found to be NRG1 fusion-positive may benefit from such a clinical approach regardless of their site of origin. Clinical trial information Personalized Oncogenomics (POG) Program of British Columbia: Utilization of Genomic Analysis to Better Understand Tumour Heterogeneity and Evolution (NCT02155621).
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Affiliation(s)
- M R Jones
- Canada's Michael Smith Genome Sciences Centre
| | - H Lim
- Division of Medical Oncology, BC Cancer Agency, Vancouver
| | - Y Shen
- Canada's Michael Smith Genome Sciences Centre
| | - E Pleasance
- Canada's Michael Smith Genome Sciences Centre
| | - C Ch'ng
- Canada's Michael Smith Genome Sciences Centre
| | - C Reisle
- Canada's Michael Smith Genome Sciences Centre
| | | | - C Zhao
- Canada's Michael Smith Genome Sciences Centre
| | - S Yip
- Department of Pathology & Laboratory Medicine, Vancouver General Hospital, Vancouver
| | - J Ho
- Department of Pathology & Laboratory Medicine, Vancouver General Hospital, Vancouver
| | - E Zhong
- Department of Pathology & Laboratory Medicine, Vancouver General Hospital, Vancouver
| | - T Ng
- Department of Pathology & Laboratory Medicine, Vancouver General Hospital, Vancouver
| | - D Ionescu
- Department of Pathology & Laboratory Medicine, BC Cancer Agency, Vancouver
| | - D F Schaeffer
- Department of Pathology & Laboratory Medicine, Vancouver General Hospital, Vancouver
| | - A J Mungall
- Canada's Michael Smith Genome Sciences Centre
| | - K L Mungall
- Canada's Michael Smith Genome Sciences Centre
| | - Y Zhao
- Canada's Michael Smith Genome Sciences Centre
| | - R A Moore
- Canada's Michael Smith Genome Sciences Centre
| | - Y Ma
- Canada's Michael Smith Genome Sciences Centre
| | - S Chia
- Division of Medical Oncology, BC Cancer Agency, Vancouver
| | - C Ho
- Division of Medical Oncology, BC Cancer Agency, Vancouver
| | - D J Renouf
- Division of Medical Oncology, BC Cancer Agency, Vancouver
| | - K Gelmon
- Division of Medical Oncology, BC Cancer Agency, Vancouver
| | - S J M Jones
- Canada's Michael Smith Genome Sciences Centre.,Department of Medical Genetics, University of British Columbia, Vancouver.,Department of Molecular Biology and Biochemistry, Simon Fraser University, Vancouver, Canada
| | - M A Marra
- Canada's Michael Smith Genome Sciences Centre.,Department of Medical Genetics, University of British Columbia, Vancouver
| | - J Laskin
- Division of Medical Oncology, BC Cancer Agency, Vancouver
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46
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Tibuakuu M, Jones MR, Navas-Acien A, Zhao D, Guallar E, Gassett AJ, Sheppard L, Budoff MJ, Kaufman JD, Michos ED. Exposure to ambient air pollution and calcification of the mitral annulus and aortic valve: the multi-ethnic study of atherosclerosis (MESA). Environ Health 2017; 16:133. [PMID: 29268751 PMCID: PMC5740967 DOI: 10.1186/s12940-017-0346-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 12/07/2017] [Indexed: 05/25/2023]
Abstract
BACKGROUND Long-term exposure to high ambient air pollution has been associated with coronary artery calcium (CAC), a marker of cardiovascular disease (CVD). Calcifications of left-sided heart valves are also markers of CVD risk. We investigated whether air pollution was associated with valvular calcification and its progression. METHODS We studied 6253 MESA participants aged 45-84 years who underwent two cardiac CT scans 2.5 years apart to quantify aortic valve calcium (AVC) and mitral annular calcium (MAC). CAC was included for the same timeframe for comparison with AVC/MAC. Ambient particulate matter <2.5 μm (PM2.5) and oxides of nitrogen (NOx) concentrations were predicted from residence-specific spatio-temporal models. RESULTS The mean age (SD) of the study sample was 62 (10) years, 39% were white, 27% black, 22% Hispanic, and 12% Chinese. The prevalence of AVC and MAC at baseline were 13% and 9% respectively, compared to 50% prevalence of CAC. The adjusted prevalence ratios of AVC and MAC for each 5 μg/m3 higher PM2.5 was 1.19 (95% CI 0.87, 1.62) and 1.20 (0.81, 1.77) respectively, and for CAC was 1.14 (1.01, 1.27). Over 2.5 years, the mean change in Agatston units/year for each 5 μg/m3 higher PM2.5 concentration was 0.29 (-5.05, 5.63) for AVC and 4.38 (-9.13, 17.88) for MAC, compared to 8.66 (0.61, 16.71) for CAC. We found no significant associations of NOx with AVC and MAC. CONCLUSION Our findings suggest a trend towards increased 2.5-year progression of MAC with exposure to outdoor PM2.5, although this association could not be confirmed. Additional well-powered studies with longer periods of follow-up are needed to further study associations of air pollution with valvular calcium. TRIAL REGISTRATION Although MESA is not a clinical trial, this cohort is registered at ClinicalTrials.gov Identifier: NCT00005487; Date of registration May 25, 2000.
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Affiliation(s)
- Martin Tibuakuu
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins School of Medicine, Baltimore, MD USA
- Department of Medicine, St. Luke’s Hospital, Chesterfield, MO USA
| | - Miranda R. Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University School of Public Health, New York, NY USA
| | - Di Zhao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Amanda J. Gassett
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA USA
- Department of Biostatistics, University of Washington, Seattle, WA USA
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA USA
- Department of Biostatistics, University of Washington, Seattle, WA USA
| | - Matthew J. Budoff
- Division of Cardiology, Harbor-UCLA Medical Center, Los Angeles, CA USA
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA USA
- Department of Epidemiology, University of Washington, Seattle, WA USA
| | - Erin D. Michos
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins School of Medicine, Baltimore, MD USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
- Division of Cardiology, Johns Hopkins School of Medicine, Blalock 524-B, 600 N. Wolfe Street, Baltimore, MD 21287 USA
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47
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Stucki S, Orozco-terWengel P, Forester BR, Duruz S, Colli L, Masembe C, Negrini R, Landguth E, Jones MR, Bruford MW, Taberlet P, Joost S. High performance computation of landscape genomic models including local indicators of spatial association. Mol Ecol Resour 2017. [PMID: 27801969 DOI: 10.1111/1755-0998.1262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
With the increasing availability of both molecular and topo-climatic data, the main challenges facing landscape genomics - that is the combination of landscape ecology with population genomics - include processing large numbers of models and distinguishing between selection and demographic processes (e.g. population structure). Several methods address the latter, either by estimating a null model of population history or by simultaneously inferring environmental and demographic effects. Here we present samβada, an approach designed to study signatures of local adaptation, with special emphasis on high performance computing of large-scale genetic and environmental data sets. samβada identifies candidate loci using genotype-environment associations while also incorporating multivariate analyses to assess the effect of many environmental predictor variables. This enables the inclusion of explanatory variables representing population structure into the models to lower the occurrences of spurious genotype-environment associations. In addition, samβada calculates local indicators of spatial association for candidate loci to provide information on whether similar genotypes tend to cluster in space, which constitutes a useful indication of the possible kinship between individuals. To test the usefulness of this approach, we carried out a simulation study and analysed a data set from Ugandan cattle to detect signatures of local adaptation with samβada, bayenv, lfmm and an FST outlier method (FDIST approach in arlequin) and compare their results. samβada - an open source software for Windows, Linux and Mac OS X available at http://lasig.epfl.ch/sambada - outperforms other approaches and better suits whole-genome sequence data processing.
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Affiliation(s)
- S Stucki
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - P Orozco-terWengel
- School of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff, CF10 3AX, UK
| | - B R Forester
- Nicholas School of the Environment, University Program in Ecology, Duke University, Durham, NC, 27708, USA
| | - S Duruz
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - L Colli
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Istituto di Zootecnica, Università Cattolica del S. Cuore, via E. Parmense 84, 29100, Piacenza, Italy
| | - C Masembe
- Department of Zoology, Entomology and Fisheries Sciences, College of Natural Sciences, Makerere University, Box 7062, Kampala, Uganda
| | - R Negrini
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Istituto di Zootecnica, Università Cattolica del S. Cuore, via E. Parmense 84, 29100, Piacenza, Italy
- Associazione Italiana Allevatori, 00161, Roma, Italy
| | - E Landguth
- Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - M R Jones
- Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - M W Bruford
- School of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff, CF10 3AX, UK
| | - P Taberlet
- Laboratoire d'Ecologie Alpine (LECA), CNRS, Grenoble, 38000, France
- Laboratoire d'Ecologie Alpine (LECA), Univ. Grenoble Alpes, Grenoble, 38000, France
| | - S Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
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48
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Midttun Ø, Theofylaktopoulou D, McCann A, Fanidi A, Muller DC, Meyer K, Ulvik A, Zheng W, Shu XO, Xiang YB, Prentice R, Thomson CA, Pettinger M, Giles GG, Hodge A, Cai Q, Blot WJ, Wu J, Johansson M, Hultdin J, Grankvist K, Stevens VL, McCullough ML, Weinstein SJ, Albanes D, Langhammer A, Hveem K, Næss M, Sesso HD, Gaziano JM, Buring JE, Lee IM, Severi G, Zhang X, Han J, Stampfer MJ, Smith-Warner SA, Zeleniuch-Jacquotte A, le Marchand L, Yuan JM, Butler LM, Koh WP, Wang R, Gao YT, Ericson U, Sonestedt E, Ziegler RG, Freedman ND, Visvanathan K, Jones MR, Relton C, Brennan P, Johansson M, Ueland PM. Circulating concentrations of biomarkers and metabolites related to vitamin status, one-carbon and the kynurenine pathways in US, Nordic, Asian, and Australian populations. Am J Clin Nutr 2017; 105:1314-1326. [PMID: 28424186 PMCID: PMC5445679 DOI: 10.3945/ajcn.116.151241] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 03/16/2017] [Indexed: 12/21/2022] Open
Abstract
Background: Circulating concentrations of biomarkers that are related to vitamin status vary by factors such as diet, fortification, and supplement use. Published biomarker concentrations have also been influenced by the variation across laboratories, which complicates a comparison of results from different studies.Objective: We robustly and comprehensively assessed differences in biomarkers that are related to vitamin status across geographic regions.Design: The trial was a cross-sectional study in which we investigated 38 biomarkers that are related to vitamin status and one-carbon and tryptophan metabolism in serum and plasma from 5314 healthy control subjects representing 20 cohorts recruited from the United States, Nordic countries, Asia, and Australia, participating in the Lung Cancer Cohort Consortium. All samples were analyzed in a centralized laboratory.Results: Circulating concentrations of riboflavin, pyridoxal 5'-phosphate, folate, vitamin B-12, all-trans retinol, 25-hydroxyvitamin D, and α-tocopherol as well as combined vitamin scores that were based on these nutrients showed that the general B-vitamin concentration was highest in the United States and that the B vitamins and lipid soluble vitamins were low in Asians. Conversely, circulating concentrations of metabolites that are inversely related to B vitamins involved in the one-carbon and kynurenine pathways were high in Asians. The high B-vitamin concentration in the United States appears to be driven mainly by multivitamin-supplement users.Conclusions: The observed differences likely reflect the variation in intake of vitamins and, in particular, the widespread multivitamin-supplement use in the United States. The results provide valuable information about the differences in biomarker concentrations in populations across continents.
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Affiliation(s)
| | | | | | - Anouar Fanidi
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - David C Muller
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | | | | | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ross Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Cynthia A Thomson
- Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ
| | - Mary Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Graham G Giles
- Cancer Epidemiology Center, Cancer Council Victoria, Melbourne, Victoria, Australia
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | - Allison Hodge
- Cancer Epidemiology Center, Cancer Council Victoria, Melbourne, Victoria, Australia
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
- International Epidemiology Institute, Rockville, MD
| | - Jie Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | | | - Johan Hultdin
- Department of Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | - Kjell Grankvist
- Department of Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | | | | | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Arnulf Langhammer
- Nord-Trøndelag Health Study Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Levanger, Norway
| | - Kristian Hveem
- Nord-Trøndelag Health Study Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Levanger, Norway
| | - Marit Næss
- Nord-Trøndelag Health Study Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Levanger, Norway
| | - Howard D Sesso
- Divisions of Preventive Medicine and
- Aging, Brigham and Women's Hospital, Boston, MA
- Departments of Epidemiology and
| | - J Michael Gaziano
- Aging, Brigham and Women's Hospital, Boston, MA
- VA Boston Healthcare System, Boston, MA
| | - Julie E Buring
- Divisions of Preventive Medicine and
- Departments of Epidemiology and
| | - I-Min Lee
- Divisions of Preventive Medicine and
- Departments of Epidemiology and
| | - Gianluca Severi
- Human Genetics Foundation, Turin, Italy
- Centre for Research in Epidemiology and Population Health (U1018 French National Institute of Health and Medical Research), Facultés de Médecine Université Paris-Sud, Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Villejuif, France
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Meir J Stampfer
- Departments of Epidemiology and
- Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | | | - Loic le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Lesley M Butler
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Woon-Puay Koh
- Duke-National University of Singapore (NSU) Medical School, Singapore, and Saw Swee Hock School of Public Health, NSU, Singapore, Singapore
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Ulrika Ericson
- Department of clinical sciences Malmö, Lund University, Lund, Sweden
| | - Emily Sonestedt
- Department of clinical sciences Malmö, Lund University, Lund, Sweden
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Sidney Kimmel Comprehensive Center, School of Medicine, Baltimore, MD
| | - Miranda R Jones
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Sidney Kimmel Comprehensive Center, School of Medicine, Baltimore, MD
| | - Caroline Relton
- Institute of Genetic Medicine, Newcastle University, Newcastle, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; and
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Per M Ueland
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway
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Jones MR, Magid HS, Al-Rifai M, McEvoy JW, Kaufman JD, Hinckley Stukovsky KD, Szklo M, Polak J, Burke GL, Post WS, Blaha MJ, Navas-Acien A. Secondhand Smoke Exposure and Subclinical Cardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2016; 5:e002965. [PMID: 27993830 PMCID: PMC5210438 DOI: 10.1161/jaha.115.002965] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 10/14/2016] [Indexed: 01/19/2023]
Abstract
BACKGROUND Few studies have evaluated the association between secondhand smoke (SHS) and subclinical cardiovascular disease among ethnically diverse populations. This study assesses the impact of SHS on inflammation and atherosclerosis (carotid intima-media thickness, coronary artery calcification, and peripheral arterial disease). METHODS AND RESULTS We examined 5032 nonsmoking adults aged 45 to 84 years without prior cardiovascular disease participating in the Multi-Ethnic Study of Atherosclerosis (MESA) from 2000 to 2002. SHS exposure was determined by self-report, and urinary cotinine was measured in a representative subset (n=2893). The multi-adjusted geometric mean ratios (95% CIs) for high-sensitivity C-reactive protein and interleukin-6 comparing 407 participants with SHS ≥12 h/wk versus 3035 unexposed participants were 1.13 (1.02-1.26) and 1.04 (0.98-1.11), respectively. The multi-adjusted geometric mean ratio for carotid intima-media thickness was 1.02 (0.97-1.07). Fibrinogen and coronary artery calcification were not associated with SHS. The prevalence of peripheral arterial disease (ankle-brachial index ≤0.9 or ≥1.4) was associated with detectable urinary cotinine (odds ratio, 2.10; 95% CI, 1.09-4.04) but not with self-reported SHS. Urinary cotinine was not associated with inflammation or carotid intima-media thickness. CONCLUSIONS Despite limited exposure assessment, this study supports the association of SHS exposure with inflammation and peripheral arterial disease.
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Affiliation(s)
- Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Hoda S Magid
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Mahmoud Al-Rifai
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, MD
| | - John W McEvoy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, MD
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA
| | - Karen D Hinckley Stukovsky
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA
| | - Moyses Szklo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Joseph Polak
- Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA
| | - Gregory L Burke
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston- Salem, NC
| | - Wendy S Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD
| | - Michael J Blaha
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, MD
| | - Ana Navas-Acien
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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50
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Stucki S, Orozco-terWengel P, Forester BR, Duruz S, Colli L, Masembe C, Negrini R, Landguth E, Jones MR, Bruford MW, Taberlet P, Joost S. High performance computation of landscape genomic models including local indicators of spatial association. Mol Ecol Resour 2016; 17:1072-1089. [PMID: 27801969 DOI: 10.1111/1755-0998.12629] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 08/05/2016] [Accepted: 09/19/2016] [Indexed: 12/11/2022]
Abstract
With the increasing availability of both molecular and topo-climatic data, the main challenges facing landscape genomics - that is the combination of landscape ecology with population genomics - include processing large numbers of models and distinguishing between selection and demographic processes (e.g. population structure). Several methods address the latter, either by estimating a null model of population history or by simultaneously inferring environmental and demographic effects. Here we present samβada, an approach designed to study signatures of local adaptation, with special emphasis on high performance computing of large-scale genetic and environmental data sets. samβada identifies candidate loci using genotype-environment associations while also incorporating multivariate analyses to assess the effect of many environmental predictor variables. This enables the inclusion of explanatory variables representing population structure into the models to lower the occurrences of spurious genotype-environment associations. In addition, samβada calculates local indicators of spatial association for candidate loci to provide information on whether similar genotypes tend to cluster in space, which constitutes a useful indication of the possible kinship between individuals. To test the usefulness of this approach, we carried out a simulation study and analysed a data set from Ugandan cattle to detect signatures of local adaptation with samβada, bayenv, lfmm and an FST outlier method (FDIST approach in arlequin) and compare their results. samβada - an open source software for Windows, Linux and Mac OS X available at http://lasig.epfl.ch/sambada - outperforms other approaches and better suits whole-genome sequence data processing.
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Affiliation(s)
- S Stucki
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - P Orozco-terWengel
- School of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff, CF10 3AX, UK
| | - B R Forester
- Nicholas School of the Environment, University Program in Ecology, Duke University, Durham, NC, 27708, USA
| | - S Duruz
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - L Colli
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Istituto di Zootecnica, Università Cattolica del S. Cuore, via E. Parmense 84, 29100, Piacenza, Italy
| | - C Masembe
- Department of Zoology, Entomology and Fisheries Sciences, College of Natural Sciences, Makerere University, Box 7062, Kampala, Uganda
| | - R Negrini
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Istituto di Zootecnica, Università Cattolica del S. Cuore, via E. Parmense 84, 29100, Piacenza, Italy.,Associazione Italiana Allevatori, 00161, Roma, Italy
| | - E Landguth
- Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - M R Jones
- Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | | | - M W Bruford
- School of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff, CF10 3AX, UK
| | - P Taberlet
- Laboratoire d'Ecologie Alpine (LECA), CNRS, Grenoble, 38000, France.,Laboratoire d'Ecologie Alpine (LECA), Univ. Grenoble Alpes, Grenoble, 38000, France
| | - S Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
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