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Male factors contribute substantially to infertility, accounting for approximately half of all infertile couples, with abnormalities in sperm count and motility being among the most common clinical findings1,2. Oligoasthenozoospermia, characterized by reduced sperm concentration and impaired motility, is one of the most common forms of male reproductive dysfunction3,4. Despite the availability of assisted reproductive techniques and empirical medical therapies, effective strategies to improve semen quality remain limited, highlighting the need for further preclinical investigation5,6,7. These clinical and translational needs motivate the development of reproducible experimental workflows to study male reproductive impairment under controlled conditions.
Acupuncture interventions have been investigated for semen abnormalities and male infertility in both clinical and experimental contexts8. Although clinical studies suggest potential benefits for certain semen parameters, their designs, intervention protocols, and outcome measures vary widely9. Electroacupuncture (EA) is particularly suitable for laboratory research because it offers controlled stimulation parameters and more uniform regulation than manual acupuncture, which facilitates assessing treatment-related changes in measurable reproductive outcomes10,11,12. This procedural advantage makes EA well-suited to structured preclinical workflows in male reproductive research.
Animal models are central to such evaluation, but model selection remains a key methodological issue in oligoasthenozoospermia research. A recent systematic review noted that busulfan-induced modeling methods are controversial and exhibit substantial heterogeneity in evaluation indices, highlighting the need for clearer procedures and more consistent readouts13. Adenine-based models provide a practical experimental approach because adenine gavage can induce reproductive impairment in rats, including reduced sperm-related endpoints and histological damage in testicular tissue14,15. In our previous work, an adenine-induced oligoasthenozoospermia rat model was treated with EA at a Shu-Mu brain-kidney acupoint set (Epangsanxian, BL23, GB25, and KI3), alongside non-acupoint and positive-drug control conditions, with expanded outcome measures that included organ coefficients and serum hormone levels quantified by ELISA16. Building on this experimental foundation and recognizing the heterogeneity in acupoint selection, control design, stimulation parameters, and outcome measures across existing EA studies, the present protocol was designed to refine and extend the methodological workflow for stable EA delivery.
Accordingly, the present protocol focuses on delivery, addressing two practical variables critical for repeated EA sessions in rodents. First, to prevent needle displacement and intermittent electrode contact caused by animal movement and lead-wire traction, we describe an isoflurane-maintained procedure that stabilizes positioning during stimulation and ensures reliable electrode contact across sessions; this is particularly important when combining abdominal midline points with hind-limb points. Second, based on prior reviews and acupoint-prescription analyses9,17, identifying CV4, SP6, ST36, and CV3 as common reproductive acupoints in infertility and semen-abnormality protocols, we selected CV3, CV4, ST36, and SP6 and applied paired stimulation to CV3-CV4 and ST36-SP6. This configuration, which combines abdominal midline and hind-limb points, standardizes electrode connections, minimizes variability caused by unstable lead attachment, and supports reproducible EA delivery across repeated treatment sessions. To maintain a protocol-oriented scope and avoid duplicating previously reported endocrine, mechanistic, or positive-control modules, outcome verification is limited to a primary semen-and-testis readout set. This set comprises computer-assisted sperm analysis and testicular HE staining, which are sufficient to confirm successful phenotype induction and treatment-associated changes within this workflow.