# Seminal Plasma Metabolomic Profiling Reveals Key Metabolic Signatures Linked to Spermatogenic Potential in Non-Obstructive Azoospermia with Cryptorchidism

**Authors:** Jianxing Cheng, Yanlin Tang, Qiancheng Zhao, Jiaming Weng, Zishui Fang, Yanan Qi, Hui Jiang, Zhe Zhang

PMC · DOI: 10.3390/metabo16020147 · Metabolites · 2026-02-23

## TL;DR

This study identifies unique metabolic patterns in men with cryptorchidism and azoospermia that could help predict the success of sperm retrieval surgery.

## Contribution

The study introduces novel metabolic biomarkers linked to successful sperm retrieval outcomes in non-obstructive azoospermia with cryptorchidism.

## Key findings

- 931 differential metabolites were identified, mainly related to lipid and amino acid metabolism.
- Metabolomic profiles effectively distinguished patients with successful and failed micro-TESE outcomes.
- Four metabolites showed strong predictive value for micro-TESE success.

## Abstract

Background/Objectives: Cryptorchidism is a common cause of male infertility and often results in azoospermia. However, the metabolic perturbations underlying cryptorchidism complicated with azoospermia and their association with surgical sperm retrieval outcomes remain poorly defined. Methods: A total of 35 patients with cryptorchidism and azoospermia, as well as 40 controls with normal semen parameters, were enrolled in the study. Seminal plasma samples from all participants were subjected to metabolomic analysis. Additionally, some patients underwent micro-TESE; the association between metabolomic features and the success or failure of surgical sperm retrieval was further analyzed. Results: A total of 931 differential metabolites were identified between patients and controls, primarily enriched in lipid metabolism and amino acid metabolism pathways. Lipid metabolites were broadly downregulated in patients, while several inflammation-related metabolites, including Prostaglandin E2, were upregulated. Routine clinical parameters showed no significant differences between patients with successful and failed micro-TESE. However, metabolomic profiles effectively distinguished these two subgroups. These differential metabolites between the two subgroups were mainly involved in three key pathways: phenylalanine–tyrosine–tryptophan biosynthesis, aminoacyl-tRNA biosynthesis, and folate biosynthesis. Most metabolites in the first two pathways were downregulated in the successful retrieval group, while those in the folate biosynthesis pathway showed the opposite regulatory trend. Four metabolites, including Leucine, 7,8-Dihydroneopterin, L-Tyrosine and Pterin, exhibited robust predictive value for micro-TESE outcomes. Conclusions: This study reveals distinct metabolic signatures in patients of cryptorchidism with azoospermia. The identified metabolic biomarkers provide valuable references for clinical decision-making regarding micro-TESE, facilitating a personalized assessment of sperm retrieval feasibility.

## Linked entities

- **Chemicals:** Prostaglandin E2 (PubChem CID 5280360), Leucine (PubChem CID 857), 7,8-Dihydroneopterin (PubChem CID 135398602), L-Tyrosine (PubChem CID 6057), Pterin (PubChem CID 135398660)
- **Diseases:** cryptorchidism (MONDO:0009047), azoospermia (MONDO:0100459)

## Full-text entities

- **Genes:** ABCB6 (ATP binding cassette subfamily B member 6 (LAN blood group)) [NCBI Gene 10058] {aka ABC, LAN, MTABC3, PRP, umat}, PC (pyruvate carboxylase) [NCBI Gene 5091] {aka PCB}, AZF [NCBI Gene 560], PRL (prolactin) [NCBI Gene 5617] {aka GHA1, pPRL}
- **Diseases:** endocrine diseases (MESH:D004700), infertility (MESH:D007246), spermatogenic failure (MESH:C562903), spermatogenic disorders (MESH:C564030), impairment of spermatogenesis (MESH:C536875), Azoospermia (MESH:D053713), hormonal dysfunction (MESH:C562704), Cryptorchidism (MESH:D003456), amino acid metabolism disorders (MESH:D000592), drug abuse (MESH:D019966), orchitis (MESH:D009920), micro-TESE (MESH:D013733), Chronic testicular inflammation (MESH:D007249), injury to (MESH:D014947), epididymal obstruction (MESH:D004823), congenital malformations (OMIM:163000), male infertility (MESH:D007248), hyperthermia (MESH:D005334), metabolic (MESH:D008659), reproductive system diseases (MESH:D060737), hypogonadism (MESH:D007006), varicocele (MESH:D014646)
- **Chemicals:** CR (MESH:D002857), Amino acids (MESH:D000596), leukotrienes (MESH:D015289), L-arginine (MESH:D001120), phosphatidylcholine (MESH:D010713), phosphatidylserine (MESH:D010718), PC (MESH:C053518), Phenylalanine (MESH:D010649), Pterin (MESH:D011622), D-amino acids (-), D (MESH:D003903), Aminoacyl-tRNA (MESH:D012346), carnitine (MESH:D002331), unsaturated fatty acids (MESH:D005231), 6-deoxy-5-ketofructose 1-phosphate (MESH:C488732), LH (MESH:D007986), tryptophan (MESH:D014364), alcohol (MESH:D000438), lysophosphatidylcholine (MESH:D008244), Sphingolipid (MESH:D013107), dopamine (MESH:D004298), Lysine (MESH:D008239), reactive oxygen species (MESH:D017382), FA (MESH:D005492), heavy metals (MESH:D019216), Sphingosine (MESH:D013110), SR (MESH:D013324), L-threonine (MESH:D013912), trehalose (MESH:D014199), 7,8-Dihydroneopterin (MESH:C000976), mannitol (MESH:D008353), glutamine (MESH:D005973), Phenylpyruvic acid (MESH:C031606), Lipid (MESH:D008055), nitrogen (MESH:D009584), prostaglandins (MESH:D011453), E2 (MESH:D004958), lactic acid (MESH:D019344), biopterin (MESH:D001708), Sphinganine (MESH:C005682), ACN (MESH:C032159), methanol (MESH:D000432), Linoleic acid (MESH:D019787), pyruvic acid (MESH:D019289), ammonia (MESH:D000641), Glycerophospholipid (MESH:D020404), acid (MESH:D000143), LysoPC (MESH:C006065), L-Tyrosine (MESH:D014443), water (MESH:D014867), benzene (MESH:D001554), Leucine (MESH:D007930), Prostaglandin E2 (MESH:D015232), testosterone (MESH:D013739), Arachidonic acid (MESH:D016718)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC12942501/full.md

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Source: https://tomesphere.com/paper/PMC12942501