• Journal of Veterinary Clinics
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• v.31 no.4
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• pp.272-277
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• 2014

This retrospective study evaluated the effect of somatic cell count (SCC) in milk during early lactation on reproductive performance in dairy cows. Data were collected on 774 cows from six dairy farms, including cow parity, dates of previous calving, artificial insemination, pregnancy diagnosis, incidence of postpartum endometritis, reproductive performance (the intervals from calving to first insemination and conception), milk production and SCC. Data on 774 lactations were grouped based on the average first 3 months postpartum linear somatic cell score (SCS) as T1 (< 3.0, n = 521), T2 (3.0 ${\leq}$ and < 4.0, n = 113), and T3 (${\geq}$ 4.0, n = 140) groups. The odds ratio (OR) for the probability of endometritis increased 1.6 (p < 0.05) and 3.2 times (p < 0.0001) in the T2 and T3 groups, respectively, compared with that in the T1 group. The hazard of first insemination by 150 days in milk (DIM) was lower in the T3 group (hazard ratio [HR]: 0.76, p < 0.01) than in the T1 group. First insemination conception rate did not differ among the 3 groups (28.7-34.2%, p > 0.05). The hazard of pregnancy by 365 DIM in the T3 group was lower (HR: 0.75, p < 0.05 respectively) than in the T1 and T2 groups. The SCS during 4 to 7 months postpartum differed (p < 0.0001) among the 3 groups. Farm and cow parity were important risk factors for higher SCS (${\geq}$ 4.0). Multiparous cows were more likely to have a higher SCS (OR: 2.26, p = 0.0005) compared with primiparous cows. In conclusion, higher SCS (${\geq}$ 4.0) during early lactation was associated with decreased reproductive performance of dairy cows.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.10
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• pp.1379-1387
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• 2013

In a majority of mammals, male infants have heavier body mass and grow faster than female infants. Accordingly, male offspring nursing requires a much greater maternal energy contribution to lactation. It is possible that the maternal-fetal immunoendocrine dialog plays an important role in female preparation for lactation during pregnancy. Immune system genes are an integral part of gene regulatory networks in lactation and tumor necrosis factor alpha ($TNF{\alpha}$) is a proinflammatory cytokine that also plays an important role in normal mammary gland development. The aim of this study was to evaluate the influence of the sex of calf and/or the -824A/G polymorphism in the promoter region of $TNF{\alpha}$ gene on milk performance traits in Black Pied cattle over the course of lactation. We also studied the allele frequency differences of -824A/G variants across several cattle breeds, which were bred in different climatic conditions. The G allele frequency decreased gradually over the course of lactation events in the Black Pied dairy cattle because of a higher culling rate of cows with the G/G genotype (p<0.001). In contrast to the genotypes A/A and A/G, cows with G/G genotype showed significant variability of milk and milk fat yield subject to sex of delivered calf. Milk yield and milk fat yield were significantly higher in the case of birth of a bull calf than with a heifer calf (p<0.03). The G allele frequency varies from 48% to 58% in Grey Ukrainian and Black Pied cattle to 77% in aboriginal Yakut cattle. Our results suggest that the $TNF{\alpha}$-824A/G gene polymorphism may have an influence on the reproductive efforts of cows over the course of lactation events depending on the sex of progeny. Allocation of resources according to sex of the calf allows optimizing the energy cost of lactation. This may be a probable reason for high G allele frequency in Yakut cattle breeding in extreme environmental conditions. Similarly, the dramatic fall in milk production after birth of a heifer calf increases the probability of culling for the cows with the G/G genotype in animal husbandry.

• The Journal of Korean Society for School & Community Health Education
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• v.25 no.2
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• pp.45-57
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• 2024

Objectives: The purpose of this study is to determine the impact of artificial menopause on the diagnosis of thyroid cancer, breast cancer, and cervical cancer, and to provide basic data for cancer prevention and early diagnosis in women. Methods: Analysis was conducted using raw data from the 2011-2020 National Health and Nutrition Examination Survey. Among the 79,262 people surveyed in the 2011-2020 National Health and Nutrition Examination Survey, 10,207 people were selected as the final research subjects, excluding men, those under 18 years old, those over 80 years old, those who did not participate in the health survey, those with missing data, and those who were not in menopause. Among them, 248 people were diagnosed with thyroid cancer (2.7%), 225 people were diagnosed with breast cancer (2.5%), and 143 people were diagnosed with cervical cancer (21.5%). Results: First, there appeared to be differences between the thyroid cancer diagnosed group and the non-diagnosed group depending on educational level, childbirth experience, and menopause type. Second, there appeared to be differences between the breast cancer diagnosis group and the non-diagnosis group depending on educational level, menopause age, pregnancy experience, childbirth experience, subjective health status, and menopause type. Third, there appeared to be differences between the cervical cancer diagnosis group and the non-diagnosis group depending on menopause age, subjective health status, and menopause type. Fourth, compared to natural menopause, in the case of artificial menopause, the diagnosis probability of women increased by 2.010 times for thyroid cancer, 3.872 times for breast cancer, and 14.902 times for cervical cancer. Conclusion: For thyroid cancer, breast cancer, and cervical cancer, the probability of cancer diagnosis increases in the case of artificial menopause compared to natural menopause, so it is considered important to avoid experiencing artificial menopause to prevent cancer.