Dergi makalesi Açık Erişim
Seyfinejad, Behrouz; Nemutlu, Emirhan; Taghizadieh, Ali; Khoubnasabjafari, Maryam; Ozkan, Sibel A.; Jouyban, Abolghasem
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Nemutlu, Emirhan</subfield> <subfield code="u">Hacettepe Univ, Fac Pharm, Dept Analyt Chem, TR-06100 Ankara, Turkiye</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Taghizadieh, Ali</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Khoubnasabjafari, Maryam</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Ozkan, Sibel A.</subfield> <subfield code="u">Ankara Univ, Fac Pharm, Dept Analyt Chem, TR-06560 Ankara, Turkiye</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Jouyban, Abolghasem</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="p">BIOMARKERS IN MEDICINE</subfield> <subfield code="v">17</subfield> <subfield code="n">19</subfield> <subfield code="c">27</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Creative Commons Attribution</subfield> <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.2217/bmm-2023-0420</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Biomarkers in exhaled breath condensate as fingerprints of asthma, chronic obstructive pulmonary disease and asthma-chronic obstructive pulmonary disease overlap: a critical review</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Seyfinejad, Behrouz</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:aperta.ulakbim.gov.tr:272440</subfield> <subfield code="p">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="2">opendefinition.org</subfield> <subfield code="a">cc-by</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2023-01-01</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="u">https://aperta.ulakbim.gov.trrecord/272440/files/bib-e9fb16ef-108c-4b41-b64d-578b9dba0ce3.txt</subfield> <subfield code="z">md5:aec60f1c5843840892978a3db1e7f059</subfield> <subfield code="s">325</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <controlfield tag="005">20240607192105.0</controlfield> <controlfield tag="001">272440</controlfield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Asthma, chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap are the third leading cause of mortality around the world. They share some common features, which can lead to misdiagnosis. To properly manage these conditions, reliable markers for early and accurate diagnosis are needed. Over the past 20 years, many molecules have been investigated in the exhaled breath condensate to better understand inflammation pathways and mechanisms related to these disorders. Recently, more advanced techniques, such as sensitive metabolomic and proteomic profiling, have been used to obtain a more comprehensive understanding. This article reviews the use of targeted and untargeted metabolomic methodology to study asthma, COPD and asthma-COPD overlap.</p> <p>Asthma, chronic obstructive pulmonary disease and asthma-chronic obstructive pulmonary disease overlap are major causes of mortality worldwide. Accurate diagnosis is crucial, and metabolomics offers insights. Exhaled breath condensate analysis reveals biomarkers for disease fingerprinting. Discover the potential of metabolomics in exhaled breath condensate of these diseases. #RespiratoryDiseases #Metabolomics.</p></subfield> </datafield> </record>
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