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11 results for “thirdhand smoke”

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zenodo44/100

S52 | THSMOKE | Thirdhand Smoke (THS) Compounds

<p>This is the collection associated with list S52 THSMOKE on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/?q=suspect-list-exchange">https://www.norman-network.com/?q=suspect-list-exchange</a></p> <p>S52&nbsp;</p> <p>THSMOKE</p> <p><strong>Thirdhand Smoke (THS) Compounds</strong></p> <p>THSMOKE XLSX&nbsp;, CSV &nbsp;(06/05/2019)<br> CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/thsmoke">THSMOKE List</a></p> <p>THSMOKE InChIKeys &nbsp;(06/05/2019)</p> <p>Thirdhand Smoke (THS, the tobacco-related gases and particles that become embedded in materials), suspect list compiled by Sonia Torres and Noelia Ramirez (IISPV-URV) and Emma Schymanski (LCSB)</p>

opencc-by-4.0May 2019View details →
zenodo44/100

S81 | THSTPS | Thirdhand Smoke Specific Metabolites

<p>This is the collection associated with list S81 THSTPS Thirdhand Smoke Specific Metabolites on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>Data compiled by Carla Merino and colleagues, URV, Spain.</p> <p>&nbsp;</p> <p>v0.1.1: fixed formatting issues in CSV files (spacing around CIDs, name errors, char errors in refs)</p>

opencc-by-4.0Sep 2021View details →
zenodo32/100

Unravelling the metabolic alterations of liver damage induced by Thirdhand Smoke

<p><strong>Objectives:</strong>&nbsp;The aim of this study is to investigate the metabolic disorders caused by Thirdhand smoke (THS)&nbsp;exposure in liver of male mice and to evaluate the effects of an antioxidant treatment in the exposed mice.&nbsp;Liver samples were&nbsp;from three mice groups (n=5 for each group): non-exposed mice (CTRL), exposed to THS in conditions that mimic human exposure (THS) and THS-exposed treated with antioxidants (THS-AO).&nbsp;</p> <p><strong>Samples</strong>: We performed a biphasic extraction of the homogenated liver samples.</p> <p><strong>LC-MS Analysis</strong>: Liver samples were analyzed by liquid chromatography (UHPLC) coupled to high-resolution mass spectrometry (LC-MS) usng&nbsp;1290 Infinity LC System coupled to a 6230 ESI-QTOF&nbsp;mass spectrometer&nbsp;(both from Agilent Technologies).&nbsp;For both analyses, the mass spectrometer&nbsp;operated in positive electrospray ionization (ESI+) mode in the following conditions:&nbsp;gas temperature, 150 &deg;C; drying gas, 11 L min<sup>&minus;1</sup>; nebulizer, 35 psi; fragmentor, 120 V; and skimmer, 65 V. The instrument was set to acquire over the m/z range 100-1000 for the aqueous extracts and 50&minus;1200 for the lipidic ones, at an acquisition rate of 3 spectra s<sup>-1</sup></p> <p>LC-MS files&nbsp;are named following this criteria:&nbsp;</p> <p>Sample Code:&nbsp;</p> <p><strong>1.</strong> First letter correspond&nbsp;to the type of extract,&nbsp;aqueous <strong>(A)</strong>&nbsp;or lipidic <strong>(L)</strong>.</p> <p><strong>2. </strong>Second letter correspond to the exposure group: <strong>C</strong> = Control group , <strong>T</strong>= THS-exposed&nbsp;group,&nbsp;<strong>A</strong>= THS-exposed group treated with antioxidants and <strong>QC</strong>=Quality Control formed by a pool of all aqueous extracts.</p> <p><strong>3.&nbsp;</strong>Number of the biological replicate (1 to 5).</p> <p>MSMS files were acquired using the same&nbsp;LCMS described above&nbsp;in targeted MS2 acquisition mode, m/z&nbsp;range 100-1000,&nbsp;MS/MS scan Rate&nbsp;5 spectra s<sup>-1 </sup>and collision energy fixed at&nbsp;20 eV.</p> <p>File code is the commented above, indicating MSMS at the end of the file name, and the acquisition number.</p> <p><strong>NMR-analysis:</strong>&nbsp;<sup>1</sup>H NMR spectra were recorded at 310&thinsp;K on a spectrometer operating at a proton frequency of 600.20&thinsp;MHz.&nbsp;For the aqueous extracts, one-dimensional&nbsp;<sup>1</sup>H pulse experiments were carried out using a nuclear Overhauser effect spectroscopy (NOESY)-presaturation sequence to suppress the residual water peak at around 4.7 ppm for aqueous extract. The relaxation delay between scans was set to 5 s. Spectral width was 16 ppm and a total of 256 transients were collected for each spectrum.&nbsp;In the case of lipophilic extracts, a 90&deg; pulse with presaturation sequence (zgpr) was used.&nbsp;Spectral width was 18.6 ppm and a total of 128 transients were collected for each spectrum.&nbsp;The acquired one dimensional (1D)&nbsp;<sup>1</sup>H NMR&nbsp;spectra were phased, baseline-corrected and referenced to glucose signal&nbsp;(5.23 ppm) for the aqueous extracts and to TMS signal for the lipidic extracts with TopSpin from Bruker.</p> <p>Files&nbsp;are named following the same&nbsp;criteria than LC-MS files, but indicating NMR at the beginning of the file name</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2020View details →
dryad32/100

Data from: Thirdhand smoke uptake to aerosol particles in the indoor environment

Aerosol composition measurements made in an indoor classroom indicate the uptake of thirdhand smoke (THS) species to indoor particles, a novel exposure route for THS to humans indoors. Chemical speciation of the organic aerosol fraction using mass spectrometric data and factor analysis identified a reduced nitrogen component, predominantly found in the indoor environment, contributing 29% of the indoor submicron aerosol mass. We identify this factor as THS compounds partitioning from interior surfaces to gas phase and then aerosol phase. Partitioning of THS vapors to aerosols requires an aqueous phase for reactive uptake of the reduced nitrogen species (RdNS), leading to seasonal differences in THS concentration indoors. RdNS protonate under the acidic conditions expected for indoor aerosols of outdoor origin. Controlled laboratory measurements performed using cigarette smoke deposited into a Pyrex vessel showed a similar partitioning behavior to aerosol of outdoor origin and mass spectral features comparable to the measured indoor THS factor after 1 week of residence time in the closed vessel. This study reports a new, potentially large THS exposure route from partitioning of surface volatile organic compounds into the aerosol phase and subsequent dispersion in a mechanically ventilated building.

opencc-zeroDec 2017View details →
zenodo32/100

Urinary metabolic dysregulations associated to thirdhand smoke exposure in mice: Implications for human urine biomonitoring

<p>This dataset contains all raw LC-MS and GC-MS data of urine extracts from mice exposed to thirdhand smoke (THS) used in the paper<em> Urinary metabolic dysregulations associated to thirdhand smoke exposure in mice: Implications for human urine biomonitoring</em>.</p> <p><strong>Objective:</strong> The goal of this study is to characterize the THS-induced molecular alterations in urine using an LC-MS and GC-MS based untargeted metabolomic approaches. We have selected urine as a target matrix because it is a non-invasive valuable diagnostic biofluid, rich in metabolites that reflect dysregulations of all biochemical pathways, which also has been one of the most widely used biofluid to assess human exposure to tobacco smoke.</p> <p><strong>Experimental groups:</strong> Urine extracts were from two mice groups: control group (CTRL, n=5), which was never exposed to THS; and THS exposed group (THS, n=5), which was exposed to THS from weaning (three weeks of age) to 24 weeks weeks without exposure to SHS during the study.</p> <p><strong>Sample extraction:</strong> Metabolites were extracted using a mixture of methanol and Milli-Q water. In the case of GC-MS, samples were pre-treated with urease prior metabolite extraction and dried under nitrogen, lyophilized, and derivatized after extraction. Quality control samples (QCs) were prepared by pooling equal volumes of each extract and analysed every five samples to ensure data quality and reproducibility.</p> <p><strong>LC-MS analysis: </strong>LC-MS urine extracts were analysed using a 1290 UHPLC system coupled to a 6550 quadrupole time of flight (QTOF) mass spectrometer from Agilent Technologies operated in ESI+ mode. Chromatographic separation was conducted on a ACQUITY UPLC HSS T3 C18 column (1.8 &micro;m, 150 &times; 2.1 mm, Waters). MS/MS was performed in targeted mode, and the instrument was set to acquire over the m/z range 50-1000, with a default iso width of 4 m/z. The collision energy was fixed at 20 V.</p> <p><strong>GC-MS analysis:</strong> GC-MS urine extracts were analysed using a 7890A gas chromatograph coupled to a 7200 QTOF mass spectrometer from Agilent Technologies. The MS was operated in the electron impact ionization mode at 70 eV, with a fixed emission current of 20 &micro;A.</p> <p><strong>Files are named following this code:</strong></p> <ol> <li><strong>Folders: </strong>mzDATA: contains GC-MS and LC-MS raw data in mzXML format; LC-MSMS: contains LC-MS/MS data used for identification of metabolites in mzXML format.</li> <li><strong>Analytical approaches:</strong> GCMS: data from GC-MS urine extracts; LCMS: data from LC-MS urine extracts.</li> <li><strong>Samples: </strong>CTRL: control group; THS: THS exposed group.</li> </ol> <p><strong>Technical information</strong></p> <ol> <li>Sample extraction and data acquisition (single date, range, approximate date): 2016-2017</li> <li>Data analysis (single date, range, approximate date): 2017-2021</li> <li>Geographic location of data collection: <ul> <li>Mice exposure: Department of Molecular, Cell and Systems Biology, University of California, Riverside CA 92521, U.S.A.</li> <li>Sample extraction and data acquisition: Universitat Rovira i Virgili, Departament d&rsquo;Enginyeria Electr&ograve;nica, El&egrave;ctrica i Autom&agrave;tica, Tarragona, Spain.</li> </ul> </li> <li>Information about funding sources that supported the collection of the data: This research was funded by the European Union&rsquo;s Horizon 2020 research and innovation pro-gramme under the Marie Sklodowska-Curie grant agreement No. 660034; the Secretaria d&rsquo;Universitats i Recerca del Departament d&rsquo;Empresa i Coneixement de la Generalitat de Catalunya through C.M.&rsquo;s predoctoral grant number 2020 FI_B2 00118; the Spanish Ministry of Science &amp; Innovation through N.R.&rsquo;s Juan de la Cierva Incorporaci&oacute;n grant No. (IJCI- 2015-23158); N.R.&rsquo;s Miguel Servet contract (CP19/00060) from Instituto de Salud Carlos III, co-financed by Fondo Europeo de Desarrollo Regional (FEDER), Uni&oacute;n Europea, &ldquo;Una manera de hacer Europa&rdquo;; and the Tobacco-Related Disease Research Program (TRDRP) of the University of California under projects 22RT- 0121 and 23DT-0103.</li> </ol>

opencc-by-4.0Oct 2021View details →
ClinicalTrials.gov32/100

Thirdhand Smoke Contamination in a Neonatal Intensive Care Unit (NICU)

ClinicalTrials.gov study NCT04155697. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Thirdhand smoke uptake to aerosol particles in the indoor environment

Open the record for dataset details and reuse information.

publicApr 2019View details →
zenodo28/100

Thirdhand smoke induces metabolic alterations associated with mitochondria dysfunction in kidney of exposed mice

<p>This dataset contains all raw LC-MS data of kidney extracts from mice exposed to thirdhand smoke (THS) used in the paper&nbsp;<em>Thirdhand smoke induces metabolic alterations associated with mitochondria dysfunction in kidney of exposed mice</em>.</p> <p><strong>Objective:</strong>&nbsp;The goal of this study is to characterize the THS-induced molecular alterations in kidney using an LC-based untargeted metabolomic approach.</p> <p><strong>Experimental groups</strong>: Kidney extracts were from three mice groups:&nbsp;control group (CTRL, n=3), which was never exposed to THS; THS exposed group (THS, n=5), was exposed to THS from weaning (three weeks of age) to 24 weeks, and&nbsp;THS exposed group under an antioxidant treatment (THS-AO, n=5)&nbsp;was exposed to THS and treated with antioxidants (N-acetylcysteine and &alpha;-tocopherol) daily from weaning until the end of the experiment.</p> <p><strong>Sample extraction:</strong>&nbsp;Metabolites were extracted from kidneys using&nbsp;a biphasic mixture of organic solvents containing acetonitrile, Milli-Q water, dichloromethane and methanol. Quality control samples (QCs) were prepared by pooling equal volumes of each extract and analysed every five samples to ensure data quality and reproducibility.</p> <p><strong>LC-MS analysis:</strong>&nbsp;Kidney samples were analysed using a&nbsp;1290 UHPLC system coupled to a 6550 quadrupole time of flight (QTOF) from Agilent Technologies in ESI+ mode. Chromatographic separation was conducted on a&nbsp;ACQUITY UHPLC BEH HILIC column (1.7 &micro;m, 150 &times; 2.1 mm, Waters) for aqueous extracts and a&nbsp;an Kinetex EVO C<sub>18</sub> column (1.7 &micro;m, 150 &times; 2.1 mm, Phenomenex) for lipid extracts.</p> <p><strong>LC-MS files are named following this code:</strong></p> <ol> <li>Extracts: AQ: Aqueous extracts; LIP: Lipid extracts</li> <li>Samples: CTRL: control group; THS: THS exposed group; THS-AO: THS exposed group under an antioxidant treatment.</li> <li>Files: mzDATA: LC-MS raw data in mzXML format; MSMS: MS/MS data&nbsp;used for identification of metabolites in mzXML format.</li> </ol> <p><strong>Technical information</strong></p> <ol> <li>Sample extraction&nbsp;and data acquisition (single date, range, approximate date): 2018-07 to 2018-10</li> <li>Data analysis (single date, range, approximate date): 2019-01 to 2021-06</li> <li>Geographic location of data collection: <ul> <li>Mice exposure: Department of Molecular, Cell and Systems Biology, University of California, Riverside CA 92521, U.S.A</li> <li>Sample extraction and data acquisition: Universitat Rovira i Virgili, Departament d&rsquo;Enginyeria Electr&ograve;nica, El&egrave;ctrica i Autom&agrave;tica, Tarragona, Spain.</li> </ul> </li> <li>Information about funding sources that supported the collection of the data:&nbsp;This research was funded by the European Union&rsquo;s Horizon 2020 research and innovation pro-gramme under the Marie Sklodowska-Curie grant agreement No. 660034; the Secretaria d&rsquo;Universitats i Recerca del Departament d&rsquo;Empresa i Coneixement de la Generalitat de Catalunya through C.M.&rsquo;s predoctoral grant number 2020 FI_B2 00118; the Spanish Ministry of Science &amp; Innovation through N.R.&rsquo;s Juan de la Cierva Incorporaci&oacute;n grant No. (IJCI- 2015-23158); N.R.&rsquo;s Miguel Servet contract (CP19/00060) from Instituto de Salud Carlos III, co-financed by Fondo Europeo de Desarrollo Regional (FEDER), Uni&oacute;n Europea, &ldquo;Una manera de hacer Europa&rdquo;; and the Tobacco-Related Disease Research Program (TRDRP) of the University of California under projects 22RT- 0121 and 23DT-0103.</li> </ol>

opencc-by-4.0Sep 2021View details →
ClinicalTrials.gov24/100

Controlled Exposure of Healthy Nonsmokers to Secondhand and Thirdhand Cigarette Smoke

ClinicalTrials.gov study NCT04013256. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Melanin and Dermal Uptake of Thirdhand Cigarette Smoke

ClinicalTrials.gov study NCT06020248. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo16/100

Experimental Acute Exposure to Thirdhand Smoke and Changes in the Human Nasal Epithelial Transcriptome

GEO Series GSE129959. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2019View details →

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