Literature DB >> 22052009

Anti-Müllerian hormone profiles as a novel biomarker to diagnose granulosa-theca cell tumors in cattle.

Go Kitahara1, Yasuo Nambo, Hossam El-Sheikh Ali, Makoto Kajisa, Mineto Tani, Kazumi Nibe, Shunichi Kamimura.   

Abstract

This study was carried out to evaluate the blood profile and tissue expression of Anti-Müllerian hormone (AMH) as a biomarker for granulosa-theca cell tumors (GTCTs) in cattle. Five cases with unilateral ovarian GTCTs (GTCT group) were investigated in comparison to other groups of Japanese Black cows, which had either cystic ovarian disease (COD group, n=5), a functional corpus luteum on Days 9 to 11 of the estrous cycle (Day 0=estrus; CL group, n=13) or received superovulation treatment (SOT group, n=13). We used transrectal ultrasonography and measured plasma AMH, estradiol-17β (E(2)), progesterone (P(4)) and testosterone (T) levels. Moreover, GTCT tissues were collected and examined by immunohistochemical staining (IHC) for AMH. In the GTCT group, ultrasound images of GTCTs were variable and not definitive. However, the AMH level in the GTCT group (n=3, 58.1 ± 66.3 ng/ml) was significantly higher than in the COD, CL and SOT groups (0.1 ± 0.1 ng/ml for GTCT vs. COD, P<0.05; 0.2 ± 0.1 and 0.3 ± 0.2 ng/ml, respectively for GTCT vs. CL and SOT, P<0.01). The other hormonal levels in the GTCT group had no significant differences compared with the COD or SOT group. Neoplastic granulosa cells labeled with AMH antibody clearly demonstrated a variety of tissue patterns in all cases by IHC. To the best of our knowledge, this is the first study to investigate the blood profile and IHC of AMH in bovine GTCTs. Our findings indicate that AMH may be a novel biomarker to diagnose GTCTs in cattle.

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Year:  2011        PMID: 22052009     DOI: 10.1262/jrd.11-101t

Source DB:  PubMed          Journal:  J Reprod Dev        ISSN: 0916-8818            Impact factor:   2.214


  1 in total

Review 1.  AMH: Could It Be Used as A Biomarker for Fertility and Superovulation in Domestic Animals?

Authors:  Saqib Umer; Shan Jiang Zhao; Abdul Sammad; Bahlibi Weldegebriall Sahlu; Pang Yunwei; Huabin Zhu
Journal:  Genes (Basel)       Date:  2019-12-04       Impact factor: 4.096

  1 in total

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