المؤلفون: Midya, Vishal, Valla, Jeffrey, Balasubramanian, Hymavathy, Mathur, Avantika, Singh, Nandini Chatterjee

المساهمون: Sorokowski, Piotr

المصدر: PLOS ONE ; volume 14, issue 9, page e0222380 ; ISSN 1932-6203

الإتاحة: https://doi.org/10.1371/journal.pone.0222380Test

المؤلفون: Aguilar, Morris A., Ebanks, Shauna, Markus, Havell, Lewis, Mechelle M., Midya, Vishal, Vrana, Kent, Xuemei Huang, Hall, Molly A., Yuka Imamura Kawasawa

المصدر: Frontiers in Neuroscience; 2023, p1-16, 16p

مصطلحات موضوعية: PARKINSON'S disease, FALSE discovery rate, RANDOM forest algorithms, EXTRACELLULAR vesicles, NON-coding RNA

مستخلص: Background: Circulating small RNAs (smRNAs) originate from diverse tissues and organs. Previous studies investigating smRNAs as potential biomarkers for Parkinson's disease (PD) have yielded inconsistent results. We investigated whether smRNA profiles from neuronally-enriched serum exosomes and microvesicles are altered in PD patients and discriminate PD subjects from controls. Methods: Demographic, clinical, and serum samples were obtained from 60 PD subjects and 40 age- and sex-matched controls. Exosomes and microvesicles were extracted and isolated using a validated neuronal membrane marker (CD171). Sequencing and bioinformatics analyses were used to identify differentially expressed smRNAs in PD and control samples. SmRNAs also were tested for association with clinical metrics. Logistic regression and random forest classification models evaluated the discriminative value of the smRNAs. Results: In serum CD171 enriched exosomes and microvesicles, a panel of 29 smRNAs was expressed differentially between PD and controls (false discovery rate (FDR) < 0.05). Among the smRNAs, 23 were upregulated and 6 were downregulated in PD patients. Pathway analysis revealed links to cellular proliferation regulation and signaling. Least absolute shrinkage and selection operator adjusted for the multicollinearity of these smRNAs and association tests to clinical parameters via linear regression did not yield significant results. Univariate logistic regression models showed that four smRNAs achieved an AUC ≥ 0.74 to discriminate PD subjects from controls. The random forest model had an AUC of 0.942 for the 29 smRNA panel. Conclusion: CD171-enriched exosomes and microvesicles contain the differential expression of smRNAs between PD and controls. Future studies are warranted to follow up on the findings and understand the scientific and clinical relevance. [ABSTRACT FROM AUTHOR]

: Copyright of Frontiers in Neuroscience is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Chen, Tania P., Yao, Meizhen, Midya, Vishal, Kolod, Betty, Khan, Rabeea F., Oduwole, Adeyemi, Camins, Bernard, Leitman, I. Michael, Nabeel, Ismail, Oliver, Kristin, Valvi, Damaskini

المصدر: COVID; May2023, Vol. 3 Issue 5, p671-681, 11p

مصطلحات موضوعية: SARS-CoV-2, COVID-19 testing, PHYSICIANS, MACHINE learning

مصطلحات جغرافية: NEW York (N.Y.)

مستخلص: Accurate prediction of SARS-CoV-2 infection based on symptoms can be a cost-efficient tool for remote screening in healthcare settings with limited SARS-CoV-2 testing capacity. We used a machine learning approach to determine self-reported symptoms that best predict a positive SARS-CoV-2 test result in physician trainees from a large healthcare system in New York. We used survey data on symptoms history and SARS-CoV-2 testing results collected retrospectively from 328 physician trainees in the Mount Sinai Health System, over the period 1 February 2020 to 31 July 2020. Prospective data on symptoms reported prior to SARS-CoV-2 test results were available from the employee health service COVID-19 registry for 186 trainees and analyzed to confirm absence of recall bias. We estimated the associations between symptoms and IgG antibody and/or reverse transcriptase polymerase chain reaction test results using Bayesian generalized linear mixed effect regression models adjusted for confounders. We identified symptoms predicting a positive SARS-CoV-2 test result using extreme gradient boosting (XGBoost). Cough, chills, fever, fatigue, myalgia, headache, shortness of breath, diarrhea, nausea/vomiting, loss of smell, loss of taste, malaise and runny nose were associated with a positive SARS-CoV-2 test result. Loss of taste, myalgia, loss of smell, cough and fever were identified as key predictors for a positive SARS-CoV-2 test result in the XGBoost model. Inclusion of sociodemographic and occupational risk factors in the model improved prediction only slightly (from AUC = 0.822 to AUC = 0.838). Loss of taste, myalgia, loss of smell, cough and fever are key predictors for symptom-based screening of SARS-CoV-2 infection in healthcare settings with remote screening and/or limited testing capacity. [ABSTRACT FROM AUTHOR]

: Copyright of COVID is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Midya, Vishal, Pal, Shekhar, Sinharoy, Ankita, Das, Jishu K., Rao, Harish, Abu-Hasan, Mutasim, Mondal, Pritish

المصدر: Frontiers in Public Health ; volume 6 ; ISSN 2296-2565

مصطلحات موضوعية: Public Health, Environmental and Occupational Health

الإتاحة: https://doi.org/10.3389/fpubh.2018.00295Test

المؤلفون: Midya, Vishal, Colicino, Elena, Conti, David V., Berhane, Kiros, Garcia, Erika, Stratakis, Nikos, Andrusaityte, Sandra, Basagaña, Xavier, Casas, Maribel, Fossati, Serena, Gražulevičienė, Regina, Haug, Line Småstuen, Heude, Barbara, Maitre, Léa, McEachan, Rosemary, Papadopoulou, Eleni Zoumpoulia, Roumeliotaki, Theano, Philippat, Claire, Thomsen, Cathrine, Urquiza, Jose, Vafeiadi, Marina, Varo, Nerea, Vos, Miriam B., Wright, John, McConnell, Rob, Vrijheid, Martine, Chatzi, Lida, Valvi, Damaskini

المصدر: 1-16 ; 5 ; JAMA Network Open ; 7

الوصف: Importance Prenatal exposures to endocrine-disrupting chemicals (EDCs) may increase the risk for liver injury in children; however, human evidence is scarce, and previous studies have not considered potential EDC-mixture effects. Furthermore, the association between prenatal EDC exposure and hepatocellular apoptosis in children has not been studied previously. Objective To investigate associations of prenatal exposure to EDC mixtures with liver injury risk and hepatocellular apoptosis in childhood. Design, Setting, and Participants This prospective cohort study used data collected from April 1, 2003, to February 26, 2016, from mother-child pairs from the Human Early-Life Exposome project, a collaborative network of 6 ongoing, population-based prospective birth cohort studies from 6 European countries (France, Greece, Lithuania, Norway, Spain, and the UK). Data were analyzed from April 1, 2021, to January 31, 2022. Exposures Three organochlorine pesticides, 5 polychlorinated biphenyls, 2 polybrominated diphenyl ethers (PBDEs), 3 phenols, 4 parabens, 10 phthalates, 4 organophosphate pesticides, 5 perfluoroalkyl substances, and 9 metals. Main Outcomes and Measures Child serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyltransferase (GGT), and CK-18 were measured at 6 to 11 years of age. Risk for liver injury was defined as having ALT, AST, and/or GGT levels above the 90th percentile. Associations of liver injury or cytokeratin 18 (CK-18) levels with each chemical group among the 45 EDCs measured in maternal blood or urine samples collected in pregnancy were estimated using 2 complimentary exposure-mixture methods: bayesian weighted quantile sum (BWQS) and bayesian kernel machine regression. Results The study included 1108 mothers (mean [SD] age at birth, 31.0 [4.7] years) and their singleton children (mean [SD] age at liver assessment, 8.2 [1.6] years; 598 [54.0%] boys). Results of the BWQS method indicated increased odds of liver injury per exposure-mixture quartile ...

وصف الملف: application/pdf

العلاقة: JAMA Network Open. 2022, 5 (7), 1-16.; urn:issn:2574-3805; https://hdl.handle.net/11250/3022816Test; https://doi.org/10.1001/jamanetworkopen.2022.20176Test; cristin:2055724

الإتاحة: https://doi.org/10.1001/jamanetworkopen.2022.20176Test
https://hdl.handle.net/11250/3022816Test

المؤلفون: Midya, Vishal, Agrawal, Manasi, Lane, Jamil M., Gennings, Chris, Tarassishin, Leonid, Torres-Olascoaga, Libni A., Eggers, Joseph, Picker, Mellissa, Peter, Inga, Faith, Jeremiah J., Arora, Manish, Téllez-Rojo, Martha M., Wright, Robert O., Colombel, Jean-Frederic, Eggers, Shoshannah

الإتاحة: https://doi.org/10.2139/ssrn.4764788Test

المؤلفون: Nichenametla, Sailendra N., Mattocks, Dwight A.L., Cooke, Diana, Midya, Vishal, Malloy, Virginia L., Mansilla, Wilfredo, Øvrebø, Bente, Turner, Cheryl, Bastani, Nasser Ezzatkhah, Sokolova, Jitka, Pavlikova, Marketa, Richie Jr., John P., Shoveller, Anna K., Refsum, Helga, Olsen, Thomas, Vinknes, Kathrine Jørgensen, Kozich, Viktor, Ables, Gene P.

المصدر: Nichenametla, Sailendra N. Mattocks, Dwight A.L. Cooke, Diana Midya, Vishal Malloy, Virginia L. Mansilla, Wilfredo Øvrebø, Bente T
Aging Cell

الإتاحة: http://hdl.handle.net/10852/100456Test

المؤلفون: Midya, Vishal, Colicino, Elena, Conti, David V, Berhane, Kiros T, Garcia, Erika, Stratakis, Nikos, Andrušaitytė, Sandra, Basagaña, Xavier, Gražulevičienė, Regina, Haug, Line Småstuen, Heude, Barbara, Papadopoulou, Eleni, McEachan, Rosemary R. C, Roumeliotaki, Theano, Slama, Rémy, Urquiza, Jose, Vafeiadi, Marina, Varo, Nerea, Vos, Miriam B, Wright, John, Casas, Maribe, McConnell, Rob, Vrijheid, Martine, Chatzi, Leda, Valvi, Damaskini

مصطلحات موضوعية: Chemical exposures, Endocrine disrupting chemicals, Mixtures analysis, Environmental epidemiology, Konferencijų tezės nerecenzuojamuose leidiniuose / Conference theses in non-peer-reviewed publications (T2), Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)

جغرافية الموضوع: US

الوصف: BACKGROUND AND AIM: Exposure to Endocrine Disrupting Chemicals (EDC) may increase liver injury, but few studies have examined these associations in children and most focused on a single chemical group. We evaluated the associations between a wide range of prenatal EDC exposures and child liver injury. METHODS: We studied 1108 healthy children from the Human Early-Life Exposome (HELIX) project, a collaborative network of six established longitudinal population-based birth cohort studies in Europe. Thirty lipophilic EDCs (including 3 organochlorine pesticides, 5 polychlorinated-biphenyl, 2 polybrominated-diphenyl-ethers [PBDEs], 5 high molecular weight phthalates (HMWP), 5 low molecular weight phthalates, 6 phenols and 4 organophosphate pesticides) were measured in maternal pregnancy blood or urine. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT) and cytokeratin 18 (CK18) were measured in child serum at follow-up between age 6-11 years. Liver injury was defined as having any liver enzyme (ALT, AST or GGT) above the 90th percentile. We used Bayesian generalized linear mixed regressions (Bglmr) to estimate associations of individual chemicals, Bayesian Weighted Quantile Sum (BWQS) and Bayesian Kernel Machine Regression (BKMR) to assess the overall association of each chemical group with liver injury and CK18, adjusting for confounders. RESULTS:BWQS results indicated that organochlorine pesticides and PBDEs were associated with increased odds of liver injury (OR[95%CI] by chemical mixture quartile increase=1.44[1.23, 1.72] and 1.59[1.37, 1.90], respectively); whereas HMWP were associated with decreased odds of liver injury (OR[95%CI]=0.71[0.59, 0.85]). A quartile increase of PBDEs was positively associated with CK18 (Estimate[95%CI]=5.33 Units/Liter [2.52,8.16]). Bglmr and BKMR showed associations in same direction as the BWQS results. [.] ; Aplinkotyros katedra ; Vytauto Didžiojo universitetas

وصف الملف: p. 140-142

العلاقة: ISEE 2021: 33rd annual conference of the International Society for Environmental Epidemiology: Promoting environmental health and equity in a shifting climate, August 23-26, 2021, New York, United States : online conference abstract E-book. New York: Columbia University Mailman School of Public Health, 2021; VDU02-000067871; https://hdl.handle.net/20.500.12259/144654Test

الإتاحة: https://doi.org/20.500.12259/144654Test
https://hdl.handle.net/20.500.12259/144654Test

المؤلفون: Midya, Vishal^1,2 (AUTHOR) vishal.midya@mssm.edu, Liao, Jiangang³ (AUTHOR), Gennings, Chris¹ (AUTHOR), Colicino, Elena¹ (AUTHOR), Teitelbaum, Susan L.¹ (AUTHOR), Wright, Robert O.¹ (AUTHOR), Valvi, Damaskini¹ (AUTHOR)

المصدر: Symmetry (20738994). Oct2022, Vol. 14 Issue 10, pN.PAG-N.PAG. 14p.

مصطلحات موضوعية: *BLOOD cholesterol, *FLUOROALKYL compounds, *HEALTH & Nutrition Examination Survey, *LDL cholesterol, *HDL cholesterol, *CHOLESTEROL content of food

مستخلص: Epidemiologists often study the associations between a set of exposures and multiple biologically relevant outcomes. However, the frequently used scale-and-context-dependent regression coefficients may not offer meaningful comparisons and could further complicate the interpretation if these outcomes do not have similar units. Additionally, when scaling up a hypothesis-driven study based on preliminary data, knowing how large to make the sample size is a major uncertainty for epidemiologists. Conventional p-value-based sample size calculations emphasize precision and might lead to a large sample size for small- to moderate-effect sizes. This asymmetry between precision and utility is costly and might lead to the detection of irrelevant effects. Here, we introduce the " δ -score" concept, by modifying Cohen's f 2 . δ -score is scale independent and circumvents the challenges of regression coefficients. Further, under a new hypothesis testing framework, it quantifies the maximum Cohen's f 2 with certain optimal properties. We also introduced "Sufficient sample size", which is the minimum sample size required to attain a δ -score. Finally, we used data on adults from a 2017–2018 U.S. National Health and Nutrition Examination Survey to demonstrate how the δ -score and sufficient sample size reduced the asymmetry between precision and utility by finding associations between mixtures of per-and polyfluoroalkyl substances and metals with serum high-density and low-density lipoprotein cholesterol. [ABSTRACT FROM AUTHOR]

المؤلفون: Rao, Chaitra, T. A., Sumathi, Midha, Rashi, Oberoi, Geet, Kar, Bhoomika, Khan, Masarrat, Vaidya, Kshipra, Midya, Vishal, Raman, Nitya, Gajre, Mona, Singh, Nandini Chatterjee

المساهمون: Department of Science and Technology, India

المصدر: Annals of Dyslexia ; volume 71, issue 3, page 439-457 ; ISSN 0736-9387 1934-7243

مصطلحات موضوعية: Speech and Hearing, Education

الإتاحة: https://doi.org/10.1007/s11881-021-00227-zTest