Sepia pharaonis Ink Mitigates Dehydroepiandrosterone-Induced Insulin Resistance in Mouse Model of Polycystic Ovarian Syndrome.

IF 2.7 Q2 PATHOLOGY
Prathyusha Yamarthi, Rama Satyasri Kotipalli, Samatasai Patnaik, Kv Veena, Muralidharan Kathirvel, Rajkumar Vutukuri, Manjula Bhanoori
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引用次数: 0

Abstract

The present study aims to evaluate the effect of Sepia pharaonis ink on insulin resistance in PCOS-induced mice. Treatment with sepia ink in dehydroepiandrosterone (DHEA)-induced PCOS mice at various doses of 50 mg/kg, 100 mg/kg, and 200 mg/kg body weight mitigated the insulin resistance in the study groups with decreased concentration of testosterone and increased concentrations of estrogen and progesterone compared to the PCOS group tested by ELISA. The histopathological analysis and restoration of glucose analysis showed a significant reduction in treatment groups. Reduced expression of insulin resistance genes like androgen receptor (AR), insulin receptor substrate 1 (IRS-1), and insulin-like growth factor1 (IGF-1) by qRT-PCR indicate a positive impact of sepia ink in alleviating the symptoms associated with PCOS. Taken together, the results of this study indicate sepia ink as a promising therapeutic intervention and a possible drug target for insulin resistance in diabetes and gynecological disorders like PCOS.

蚕墨可减轻多囊卵巢综合征小鼠模型中脱氢表雄酮诱导的胰岛素抵抗。
本研究旨在评估蚕墨对多囊卵巢综合征诱导小鼠胰岛素抵抗的影响。用不同剂量(50 毫克/千克、100 毫克/千克和 200 毫克/千克体重)的海茴香墨水治疗脱氢表雄酮(DHEA)诱导的多囊卵巢综合征小鼠,缓解了研究组的胰岛素抵抗,与 ELISA 检测的多囊卵巢综合征组相比,睾酮浓度降低,雌激素和孕酮浓度升高。组织病理学分析和血糖恢复分析表明,治疗组的胰岛素抵抗显著降低。通过 qRT-PCR,雄激素受体(AR)、胰岛素受体底物 1(IRS-1)和胰岛素样生长因子 1(IGF-1)等胰岛素抵抗基因的表达量减少,这表明霞石油墨对缓解多囊卵巢综合症相关症状有积极影响。综上所述,本研究结果表明,霞石墨水是一种很有前景的治疗干预措施,也是治疗糖尿病和多囊卵巢综合征等妇科疾病中胰岛素抵抗的可能药物靶点。
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来源期刊
Pathophysiology
Pathophysiology Medicine-Pathology and Forensic Medicine
CiteScore
3.10
自引率
0.00%
发文量
48
期刊介绍: Pathophysiology is an international journal which publishes papers in English which address the etiology, development, and elimination of pathological processes. Contributions on the basic mechanisms underlying these processes, model systems and interdisciplinary approaches are strongly encouraged.
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