正常无精症男性精浆中的氨基酸谱:精子图参数与总抗氧化能力的相关性分析

Q2 Medicine
Naser Amirjannati, Ralf Henkel, Elham Hosseini, Peyman Choopanian, Hanieh Moghadasfar, Babak Arjmand, Lima Asgharpour Sarouey, Azadeh Haji Parvaneh, Kambiz Gilany
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引用次数: 0

摘要

背景:男性不育症通常是通过人工评估精液(即标准精液分析)来确定的。目前,仅凭精液分析无法预测精子的受精能力。因此,需要一种更灵敏、更具选择性的诊断工具:方法:从阿维森纳生育中心(伊朗德黑兰)就诊的育龄志愿者身上采集了 12 份新鲜精液样本。制备精浆(SP)并进行液相色谱-串联质谱(LC-MS/MS)分析和总抗氧化能力(TAC)分析。测定了包括必需氨基酸(EAA)、非必需氨基酸(NEAA)和非蛋白源氨基酸(NPAA)在内的34种氨基酸的相对浓度,并分析了它们的浓度与精子图参数和精液总抗氧化能力之间的相关性:结果:发现某些氨基酸与精子活力(Met 和 Gln,rs=0.92;Cys,rs=0.72;Asn,rs=0.82)、正常精子形态(Met,rs=0.92;Cys,rs=0.72;Glu,rs=0.92;Asn,rs=0.82)和精子浓度(Trp、Phe 和 Ala)之间存在显著的正相关。相反,一些 AAs,包括 Gly、Ser 和 Ile 与精子浓度呈负相关(rs=-0.93、r=-0.92 和 r=-0.89)。此外,TAC 仅与 Tyr 呈正相关(rs=0.79):结论:精液代谢特征与精子图之间的强正/负相关性表明,在正常情况下确定代谢物水平对正常精子功能具有重要意义。将代谢组与精液的临床特征相结合,可使临床医生从生物标记物转向精液参数的临床解释,从而解释精子病理学的生物学基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Amino Acid Profile in Seminal Plasma of Normozoospermic Men: A Correlation Analysis with Spermiogram Parameters and Total Antioxidant Capacity.

Background: Male infertility is usually determined by the manual evaluation of the semen, namely the standard semen analysis. It is currently impossible to predict sperm fertilizing ability based on the semen analysis alone. Therefore, a more sensitive and selective diagnosis tool is required.

Methods: Twelve fresh semen samples were collected from fertile volunteers attending the Avicenna Fertility Center (Tehran, Iran). The seminal plasma (SP) was prepared and subjected to liquid chromatography-tandem mass spectrometry (LC-MS/MS), and the total antioxidant capacity (TAC) was analysis. Thirty-four amino acids including essential amino acids (EAA), non-essential amino acids (NEAA), and non-proteinogenic amino acids (NPAA) relative concentration were determined, and the correlation between their concentration with spermiogram parameters and TAC of the SP was analyzed.

Results: Significant positive correlations have been found between selected amino acids with the motility (Met and Gln, rs=0.92; Cys, rs=0.72; and Asn, rs=0.82), normal sperm morphology (Met, rs=0.92; Cys, rs=0.72; Glu, rs=0.92; and Asn, rs=0.82), and sperm concentration (Trp, Phe, and Ala). In contrast, several AAs, including Gly, Ser, and Ile showed negative correlations with sperm concentration (rs=-0.93, r=-0.92, and r=-0.89, respectively). Furthermore, TAC showed a positive association only with Tyr (rs=0.79).

Conclusion: The strong positive/negative correlations between the seminal metabolic signature and spermiogram demonstrate the significance of determining metabolite levels under normal conditions for normal sperm functions. Combining the metabolome with the clinical characteristics of semen would enable clinicians to look beyond biomarkers toward the clinical interpretation of seminal parameters to explain the biological basis of sperm pathology.

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来源期刊
Journal of Reproduction and Infertility
Journal of Reproduction and Infertility Medicine-Reproductive Medicine
CiteScore
2.70
自引率
0.00%
发文量
44
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