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1.
J Dairy Sci ; 107(8): 5653-5666, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38554826

ABSTRACT

Following a comparison of nutrient total-tract digestibility estimates in lactating buffaloes using single-point undigestible NDF (uNDF) or acid-insoluble ash (AIA) as internal markers, the potential of fecal near-infrared spectroscopy (NIRS) to provide calibration equations for the assessment of the chemical composition of feces and nutrient total-tract digestibility estimated with internal markers was explored. Chemical analyses were performed on 147 fecal samples from lactating buffaloes reared on 5 farms in central Italy (Naples). Each farm fed a silage-based TMR to the buffaloes, and the TMR was sampled in the 2 d before the fecal collection. The TMR and individual fecal samples were collected and analyzed for DM, OM, ash, AIA, ether extract (EE), starch, fiber fractions (amylase-treated NDF without residual ash [aNDFom], amylase-treated NDF inclusive of residual ash [aNDF], ADF without residual ash [ADFom], ADF, hemicellulose, cellulose, ADL, uNDF), N, CP and CP bound to aNDF (NDICP) and to ADF (ADICP). The uNDF content was determined through a 240-h in vitro fermentation and employed, together with AIA as markers, to estimate the total-tract apparent digestibility and total-tract digestibility of DM, OM, ash, N, CP, EE, aNDFom, aNDF, NDIP, ADFom, and ADF, ADIN, ADL, hemicellulose, cellulose, starch, NFC, and the B3 fraction of N (NB3). No correlation was found between DM and OM digestibility estimated with AIA and uNDF as internal markers. Weak correlations were detected for all the other nutients digestibilities, and strong correlations were observed for EE, ADFom, hemicellulose, NDIN, ADIN, NB3, NFC, and starch. The sample set (n = 147) was divided in a calibration set (n = 111) and a validation set (n = 36) to "train" and "validate" the fecal NIRS curve through an external validation process. An estimation usable for preliminary or initial evaluation was obtained for N, CP, and aNDF fecal content. An excellent prediction was obtained for total tract digestibility of ADIN (R2 = 0.90) when estimated with uNDF as the internal marker. The NIRS technology was not able to accurately predict all the other traits and the estimated nutrient digestibility of lactating buffalo diets from fecal spectra.


Subject(s)
Buffaloes , Dietary Fiber , Digestion , Feces , Lactation , Spectroscopy, Near-Infrared , Animals , Feces/chemistry , Female , Spectroscopy, Near-Infrared/veterinary , Diet/veterinary , Animal Feed/analysis , Nutrients/analysis , Silage
2.
Eur J Cancer Care (Engl) ; 19(3): 360-8, 2010 May.
Article in English | MEDLINE | ID: mdl-19912305

ABSTRACT

The objective of this study is to evaluate women's awareness and interest in genetic testing for breast cancer risk, to identify socio-demographic factors, to analyse the reasons for wanting or not wanting to be tested and finally to determine whether breast cancer patients and healthy women have different attitudes towards genetic testing. Consecutive series of 879 women without and with breast cancer participated in a 20-item self-completing questionnaire. Among breast cancer patients, 57% answered that they would definitely or probably accept being tested, compared with 84% of women without breast cancer. At the multiple logistic regression analysis only to have a diagnosis of breast cancer conditioned significantly the interest to have genetic testing. Surprisingly, a family history of breast cancer was found to have no significant impact. The most frequently cited reason for being interested in genetic testing was 'to learn about your children's risk'. Although women's awareness about breast cancer genes is inadequate, the interest in genetic testing is substantial and higher both in healthy women and in women with breast cancer. These results provide important indications for the development of educational strategies.


Subject(s)
Attitude to Health , Breast Neoplasms/diagnosis , Breast Neoplasms/genetics , Genetic Testing/psychology , Adult , Aged , Awareness , Breast Neoplasms/psychology , Family , Female , Genetic Predisposition to Disease , Humans , Logistic Models , Mass Screening/methods , Mass Screening/psychology , Middle Aged , Socioeconomic Factors , Surveys and Questionnaires , Young Adult
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