Longitudinal Analysis of Male Fertility Using an Acr-Luc Knock-In Mouse Model: A Preclinical Platform for Reproductive Toxicity Testing

Hisanori Fukunaga , Ryosuke Seino , Yusuke Matsuya , Hiroyuki Takashima , Masayori Ishikawa , Yasuhito Onodera , Hiroki Shirato , Haruhiko Miyata , Kevin M. Prise

MedComm ›› 2026, Vol. 7 ›› Issue (1) : e70568

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MedComm ›› 2026, Vol. 7 ›› Issue (1) :e70568 DOI: 10.1002/mco2.70568
ORIGINAL ARTICLE
Longitudinal Analysis of Male Fertility Using an Acr-Luc Knock-In Mouse Model: A Preclinical Platform for Reproductive Toxicity Testing
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Abstract

Reproductive toxicity testing is essential for evaluating whether xenobiotics, including pharmaceuticals, environmental chemicals, or ionizing radiation, adversely affect reproductive function. However, conventional assessments rely on mating outcomes or histopathology, which are labor-intensive, variable, and require large numbers of animals. Acrosin, a serine protease encoded by the Acr gene and localized in the acrosome of spermatozoa, plays a critical role in sperm penetration of the zona pellucida. To exploit this germ cell-specific expression, we generated a genetically engineered mouse model in which the Luciferase (Luc) reporter gene is driven by the Acr promoter. This Acr-Luc knock-in (KI) model enables longitudinal and quantitative imaging of spermatogenesis using bioluminescence. We demonstrate that this platform captures radiation-induced impairments in male fertility in real time, eliminating the need for terminal analyses. By allowing repeated evaluation within the same individuals, our approach reduces interindividual variability and enables a substantial reduction in animal use, aligning with the “Reduction” principle of the 3Rs. Moreover, it reveals both the onset and recovery phases of spermatogenic disruption with high temporal resolution. The Acr-Luc KI model provides a reliable preclinical platform for reproductive toxicity testing and offers broad utility for studies in reproductive biology, toxicology, and oncofertility research.

Keywords

Acr-Luc knock-in mouse / bioluminescence imaging / male fertility / reproductive toxicity / spermatogenesis

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Hisanori Fukunaga, Ryosuke Seino, Yusuke Matsuya, Hiroyuki Takashima, Masayori Ishikawa, Yasuhito Onodera, Hiroki Shirato, Haruhiko Miyata, Kevin M. Prise. Longitudinal Analysis of Male Fertility Using an Acr-Luc Knock-In Mouse Model: A Preclinical Platform for Reproductive Toxicity Testing. MedComm, 2026, 7(1): e70568 DOI:10.1002/mco2.70568

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References

[1]

M. L. Green, A. Kluever, C. Chen, et al., “HESI workshop summary: Interpretation of developmental and reproductive toxicity endpoints and the impact on data interpretation of adverse events,” Birth Defects Research 116 (2024): e2311.

[2]

L. B. Miller, M. B. Feuz, R. G. Meyer, and M. L. Meyer-Ficca, “Reproductive toxicology: Keeping up With our changing world,” Frontiers in Toxicology 6 (2024): 1456687.

[3]

J. Tannenbaum and B. T. Bennett, “Russell and Burch's 3Rs then and now: The need for clarity in definition and purpose,” Journal of the American Association for Laboratory Animal 54 (2015): 132.

[4]

I. Fegert, R. Billington, P. Botham, et al., “Feasibility of the extended one-generation reproductive toxicity study (OECD 443),” Reproductive Toxicology 34 (2012): 331–339.

[5]

K. S. Hougaard, “Next generation reproductive and developmental toxicology: Crosstalk Into the future,” Frontiers in Toxicology 3 (2021): 652571.

[6]

J. Bergonie and L. Tribondeau, “Interpretation of some results of radiotherapy and an attempt at determining a logical technique of treatment,” Radiation Research 11 (1959): 587–588.

[7]

International Commission on Radiological Protection. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Annals of the Icrp 2007;37:1–332.

[8]

U. Klemm, W. M. Maier, S. Tsaousidou, I. M. Adham, K. Willison, and W. Engel, “Mouse preproacrosin: CDNA sequence, primary structure and postmeiotic expression in spermatogenesis,” Differentiation 42 (1990): 160–166.

[9]

S. Kashiwabara, T. Baba, M. Takada, K. Watanabe, Y. Yano, and Y. Arai, “Primary structure of mouse proacrosin deduced From the cDNA sequence and its gene expression During spermatogenesis,” Journal of Biochemistry 108 (1990): 785–791.

[10]

K. Watanabe, T. Baba, S. Kashiwabara, A. Okamoto, and Y. Arai, “Structure and organization of the mouse acrosin gene,” Journal of Biochemistry 109 (1991): 828–833.

[11]

M. Hirose, A. Honda, H. Fulka, et al., “Acrosin is essential for sperm penetration Through the zona pellucida in hamsters,” Proceedings of the National Academy of Sciences of the United States of America 117 (2020): 2513–2518.

[12]

R. Hua, R. Xue, Y. Liu, et al., “ACROSIN deficiency causes total fertilization failure in humans by preventing sperm penetration of the zona pellucida,” Human Reproduction 38 (2023): 1213–1223.

[13]

F. Yue, Y. Cheng, A. Breschi, et al., “A comparative encyclopedia of DNA elements in the mouse genome,” Nature 515 (2014): 355–364.

[14]

A. Das, S. Koner, S. S. Majumdar, and N. Ganguli, “Isolation and characterisation of promoters From mouse genome to drive post-meiotic germ cell-specific robust gene expression,” Biochimica et Biophysica Acta: Gene Regulatory Mechanisms 1867 (2024): 194994.

[15]

H. Kremling, S. Keime, K. Wilhelm, I. M. Adham, H. Hameister, and W. Engel, “Mouse proacrosin gene: Nucleotide sequence, diploid expression, and chromosomal localization,” Genomics 11 (1991): 828–834.

[16]

T. Nakanishi, M. Ikawa, S. Yamada, et al., “Real-time observation of acrosomal dispersal From mouse sperm using GFP,” Febs Letters 449 (1999): 277–283.

[17]

H. Fukunaga, K. Kaminaga, T. Sato, et al., “Application of an ex vivo tissue model to investigate radiobiological effects on spermatogenesis,” Radiation Research 189 (2018): 661–667.

[18]

H. Fukunaga, K. Kaminaga, T. Sato, et al., “High-precision microbeam radiotherapy reveals testicular tissue-sparing effects for male fertility preservation,” Scientific Reports 9 (2019): 12618.

[19]

H. Fukunaga, K. Kaminaga, T. Sato, et al., “Tissue-sparing effect of spatially fractionated X-rays for maintaining spermatogenesis,” Journal of Clinical Medicine 9 (2020): 1089.

[20]

H. Fukunaga, K. Kaminaga, T. Sato, et al., “Spatially fractionated microbeam analysis of tissue-sparing effect for spermatogenesis,” Radiation Research 194 (2020): 698–706.

[21]

G. Friedrich and P. Soriano, “Promoter traps in embryonic stem cells: A genetic screen to identify and mutate developmental genes,” Genes & Development 5 (1991): 1513–1523.

[22]

B. P. Zambrowicz, A. Imamoto, S. Fiering, L. A. Herzenberg, W. G. Kerr, and P. Soriano, “Disruption of overlapping transcripts in the ROSA β-geo 26 gene trap strain,” Proceedings of the National Academy of Sciences of the United States of America 94 (1997): 3789–3794.

[23]

A. Ogura, J. Matsuda, T. Asano, O. Suzuki, and R. Yanagimachi, “Mouse oocytes injected With cryopreserved round spermatids can develop Into normal offspring,” Journal of Assisted Reproduction and Genetics 13 (1996): 431–434.

[24]

S. H. Yang, Y. Z. Zeng, X. Z. Jia, et al., “Activated dormant stem cells recover spermatogenesis in chemoradiotherapy-induced infertility,” Cell Reports 43 (2024): 114582.

[25]

T. Sato, Y. Iwamoto, S. Hashimoto, et al., “Recent improvements of the particle and heavy ion transport code system – PHITS version 3.33,” Journal of Nuclear Science and Technology 61 (2024): 127–135.

[26]

B. Dogdas, D. Stout, A. F. Chatziioannou, and R. M. Leahy, “Digimouse: A 3D whole-body mouse atlas From CT and cryosection data,” Physics in Medicine and Biology 52 (2007): 577–587.

[27]

L. M. Carter, T. M. Crawford, T. Sato, et al., “PARaDIM: A PHITS-based Monte Carlo tool for internal dosimetry using tetrahedral mesh phantoms,” Journal of Nuclear Medicine 60 (2019): 1802–1811.

[28]

H. Hirayama, Y. Namito, A. F. Bielajew, S. J. Wilderman, and W. R. Nelson, The EGS5 Code System. (U.S. Department of Energy, 2005).

[29]

A. Anazodo, L. Ataman-Millhouse, Y. Jayasinghe, and T. K. Woodruff, “Oncofertility: An emerging discipline rather Than a special consideration,” Pediatric Blood & Cancer 65 (2018): e27297.

[30]

H. Fukunaga, A. Yokoya, and K. M. Prise, “A brief overview of radiation-induced effects on spermatogenesis and oncofertility,” Cancers (Basel) 14 (2022): 805.

[31]

M. Ali, V. Benfante, G. Basirinia, et al., “Applications of artificial intelligence, deep learning, and machine learning in microscopic image analysis,” Journal of Imaging 11 (2025): 59.

[32]

C. Lynch, S. Sakamuru, M. Ooka, et al., “High-throughput screening to advance in vitro toxicology,” Annual Review of Pharmacology and Toxicology 64 (2024): 191–209.

[33]

H. Heidari-Khoei, F. Esfandiari, M. A. Hajari, et al., “Organoid technology in female reproductive biomedicine,” Reproductive Biology and Endocrinology [Electronic Resource]: RB&E 18 (2020): 64.

[34]

H. Shen, C. M. McHale, M. T. Smith, and L. Zhang, “Functional genomic screening approaches and CRISPR-Cas9 applications in mechanistic toxicology,” Reviews in Mutation Researc 764 (2015): 31–42.

[35]

M. Sántha, “Animal testing in drug development: Past, present, and future,” Biologia Futura 71 (2020): 443–452.

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2026 The Author(s). MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd.

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