Detection of estrus in Indian blackbuck: Behavioural, hormonal and urinary volatiles evaluation

2013 ◽  
Vol 181 ◽  
pp. 156-166 ◽  
Author(s):  
Govindaraju Archunan ◽  
Thangavel Rajagopal
Keyword(s):  
Biosensors ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 437
Author(s):  
Heena Tyagi ◽  
Emma Daulton ◽  
Ayman S. Bannaga ◽  
Ramesh P. Arasaradnam ◽  
James A. Covington

Bladder cancer (BCa) and prostate cancer (PCa) are some of the most common cancers in the world. In both BCa and PCa, the diagnosis is often confirmed with an invasive technique that carries a risk to the patient. Consequently, a non-invasive diagnostic approach would be medically desirable and beneficial to the patient. The use of volatile organic compounds (VOCs) for disease diagnosis, including cancer, is a promising research area that could support the diagnosis process. In this study, we investigated the urinary VOC profiles in BCa, PCa patients and non-cancerous controls by using gas chromatography-ion mobility spectrometry (GC-IMS) and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) to analyse patient samples. GC-IMS separated BCa from PCa (area under the curve: AUC: 0.97 (0.93–1.00)), BCa vs. non-cancerous (AUC: 0.95 (0.90–0.99)) and PCa vs. non-cancerous (AUC: 0.89 (0.83–0.94)) whereas GC-TOF-MS differentiated BCa from PCa (AUC: 0.84 (0.73–0.93)), BCa vs. non-cancerous (AUC: 0.81 (0.70–0.90)) and PCa vs. non-cancerous (AUC: 0.94 (0.90–0.97)). According to our study, a total of 34 biomarkers were found using GC-TOF-MS data, of which 13 VOCs were associated with BCa, seven were associated with PCa, and 14 VOCs were found in the comparison of BCa and PCa.


1983 ◽  
Vol 29 (10) ◽  
pp. 1834-1838 ◽  
Author(s):  
D G Burke ◽  
B Halpern ◽  
D Malegan ◽  
E McCairns ◽  
D Danks ◽  
...  

Abstract The profiles of urinary volatiles from patients with phenylketonuria, maple syrup urine disease, isovaleric acidemia, or trimethylaminuria (fish-odor syndrome) were in each case vastly different from the normal urinary volatiles profile. In the maple syrup urine disease case, metabolites that occur distal to the block were found and a mechanism for their formation is suggested. A new major metabolite in isovaleric acidemia was also found. As well as providing a reliable diagnostic tool for diseases characterized by odors, the analysis of urinary volatiles may provide information to help our understanding of still unexplained aspects of the diseases.


Sensors ◽  
2013 ◽  
Vol 13 (7) ◽  
pp. 8523-8533 ◽  
Author(s):  
Sudhir Pandey ◽  
Ki-Hyun Kim ◽  
Si Choi ◽  
In Sa ◽  
Soo Oh
Keyword(s):  

Author(s):  
Subhadeep Das ◽  
Sourav Manna ◽  
Sandipan Ray ◽  
Payel Das ◽  
Upashna Rai ◽  
...  

2021 ◽  
Author(s):  
Heena Tyagi ◽  
Emma Daulton ◽  
Ayman S Bannaga ◽  
Ramesh P Arasaradnam ◽  
James A. Covington

Abstract Bladder cancer (BLC) and Prostate cancer (PC) are some of the most common cancers in the world, both having low five-year survival rates. In both BLC and PC, the diagnosis is often confirmed with an invasive technique that carries a risk to the patient. Consequently, a non-invasive diagnostic approach in these cancers would be medically desirable. The use of volatile organic compounds (VOCs) for disease diagnosis, including cancer, is a promising research area that could support the diagnosis process. In this study, we investigated the urinary VOC profiles in BLC, PC patients and non-cancerous controls by using gas chromatography–ion mobility spectrometry (GC–IMS) and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) to analyse patient samples. GC-IMS separated BLC from PC (AUC: 0.97 (0.93-1.00)), BLC Vs Non-cancerous (AUC: 0.95 (0.90-0.99).) and PC Vs Non-cancerous (AUC: 0.89 (0.83-0.94)) whereas GC-TOF-MS differentiated BLC from PC (AUC: 0.84 (0.73-0.93) BLC Vs Non-cancerous (AUC: 0.81 (0.70-0.90)) and PC vs Non-cancerous (AUC: 0.94 (0.90-0.97)). According to our study, a total of 34 biomarkers were found using GC-TOF-MS data, of which 13 VOCs were associated with BLC, 7 were associated with PC and 14 VOCs were found in the comparison of BLC and PC.


Author(s):  
Sankarganesh Devaraj ◽  
Anoosh Rakhshandeh ◽  
Edgar Aviles-Rosa ◽  
John J. McGlone

1987 ◽  
Vol 13 (9) ◽  
pp. 1941-1956 ◽  
Author(s):  
Bozena Jemiolo ◽  
Franca Andreolini ◽  
Donald Wiesler ◽  
Milos Novotny

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