RESEARCH ARTICLE

Investigating the correlation of glucose-regulated protein 78 with sperm motility and kinematic parameters insights into male fertility

Claudine Uwamahoro1https://orcid.org/0009-0008-3108-8451, Jae-Hwan Jo1https://orcid.org/0000-0002-8591-7816, Seung-Ik Jang1https://orcid.org/0000-0002-0188-8297, Eun-Ju Jung1https://orcid.org/0000-0001-7122-2004, Woo-Jin Lee1https://orcid.org/0000-0002-4690-7148, Jeong-Won Bae1https://orcid.org/0000-0002-7030-7767, Dae-Hyun Kim2https://orcid.org/0000-0002-4820-4438, Jun Koo Yi3https://orcid.org/0000-0003-2593-6529, Dong Yep Oh4https://orcid.org/0000-0003-4412-7719, Seung Won Nam5https://orcid.org/0000-0002-8722-5223, Eu Jin Chung5https://orcid.org/0000-0003-4825-2920, Jae Jung Ha6,*https://orcid.org/0000-0001-6785-6346, Woo-Sung Kwon1,7,*https://orcid.org/0000-0002-0848-7189
Author Information & Copyright
1Department of Animal Science and Biotechnology, Kyungpook National University, Sangju 37224, Korea
2Department of Animal Science, Chonnam National University, Gwangju 61186, Korea
3School of Animal Life Convergence Science, Hankyong National University, Anseong 17579, Korea
4Gyeongbuk Livestock Research Institute, Yeongju 36052, Korea
5Freshwater Bioresources Culture Collection, Nakdonggang National Institute of Biological Resources, Sangju 37242, Korea
6Hanwoo Digital Information Center, Hanwooboard, Seoul 06641, Korea
7Research Institute for Innovative Animal Science, Kyungpook National University, Sangju 37224, Korea
*Corresponding author: Jae Jung Ha, Hanwoo Digital Information Center, Hanwooboard, Seoul 06641, Korea., Tel: +82-2-6951-3609, E-mail: hjj3256@hanwooboard.or.kr
*Corresponding author: Woo-Sung Kwon, Department of Animal Science and Biotechnology, Kyungpook National University, Sangju 37224, Korea., Tel: +82-54-530-1942, E-mail: wskwon@knu.ac.kr

© Copyright 2026 Korean Society of Animal Science and Technology. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Jul 29, 2024; Revised: Oct 22, 2024; Accepted: Nov 09, 2024

Published Online: Jan 31, 2026

Abstract

Glucose-regulated protein 78 (GRP78), which belongs to the heat shock protein 70 family, is a chaperone essential for maintaining cellular balance in the endoplasmic reticulum. It acts as a receptor on the cell surface, affecting cell growth and survival. Recent research has emphasized the involvement of GRP78 in protein folding, endoplasmic reticulum stress signaling, and cancer cell proliferation and highlighted its presence on sperm cells, where it contributes to spermatogenesis and sperm capacitation. Despite these findings, the association of GRP78 with sperm motility and motion kinematic parameters remains insufficiently understood. This study assessed the correlation between GRP78 and various sperm motility and kinematic parameters, which are essential for the capacitation process. GRP78 expression was positively correlated with linearity and straightness and negatively correlated with total sperm motility and beat cross frequency. However, GRP78 expression did not exhibit a significant correlation with progressive sperm motility, average path velocity, curvilinear velocity, straight-line velocity, and amplitude of lateral head displacement. These results provide novel insights into the correlation between GRP78 and sperm motility, as well as its potential implications for male fertility.

Keywords: Glucose-regulated protein 78 (GRP78); Sperm motility and motion kinematics; Male fertility

INTRODUCTION

Glucose-regulated protein 78 (GRP78), which belongs to the heat shock protein 70 (HSP70) family, is a recognized chaperone present in the endoplasmic reticulum (ER). It is essential for maintaining cellular balance in different cell types [1]. GRP78, also known as immunoglobulin heavy chain-binding protein (BiP), is also found on the cell surface, where it functions similarly to a receptor and controls cell growth and viability [24]. In addition to aiding in accurate protein folding, preventing the aggregation of intermediates, and directing misfolded proteins for degradation by the proteasome, GRP78 can interact with calcium ions (Ca2+) and regulate ER stress signaling [57]. Furthermore, GRP78 has been detected on the cancer cell surface. It is associated with the activation of the phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) signaling pathway and the enhancement of cancer cell proliferation [8,9]. GRP78 also regulates the proliferation and apoptosis of prostate cells through the AKT/mammalian target of rapamycin (mTOR) pathway and plays a pivotal role in epithelial–mesenchymal transition (EMT) and oxidative stress (OS) [6].

Furthermore, GRP78 has been detected on the sperm cell surface during spermatogenesis in humans. It is also present in the testes of both mice and humans [10,11]. Different researchers have demonstrated that the interaction between the sperm and zona pellucida is influenced by GRP78 through a calcium-dependent pathway, impacting sperm capacitation [12,13]. GRP78 also plays a crucial role in sperm maturation, suggesting its potential influence on sperm function [14]. The molecular mechanism by which GRP78 affects sperm capacitation by interacting with the PI3K/3-phosphoinositide-dependent protein kinase-1 (PDK1)/AKT pathway has been studied, and GRP78 has been found to potentially affect sperm capacitation [11]. However, despite extensive documentation, the association of GRP78 with sperm motility and motion kinematic parameters remains unclear. Sperm motility and motion kinematics serve as crucial indicators of sperm movement within the female genital tract, ultimately influencing successful sperm–oocyte interaction [15]. Therefore, this study assessed the association of GRP78 with sperm motility and motion kinematic parameters.

MATERIALS AND METHODS

Preparation of spermatozoa

All chemicals were bought from Sigma, unless otherwise stated. In total, 57 individual semen samples were collected from healthy mature Duroc boars aged 24–36 mon at Gyeongsan Swine Gene using the gloved hand technique. The collected semen samples were diluted using a broad extender (1:1 [v/v] Beltsville thawing solution: 37 mg/mL glucose, 6 mg/ml sodium citrate, 1.25 mg/mL ethylenediaminetetraacetic acid (EDTA), 1.25 mg/ml sodium bicarbonate, and 0.75 mg/mL potassium chloride) to achieve a final concentration of 3 × 109 sperm cells/ml [16]. After dilution, the semen samples were cooled and kept at 17°C until analysis. The semen samples were washed to eliminate seminal plasma and dead spermatozoa using a discontinuous Percoll gradient (70% [v/v] and 35% [v/v]) [17,18].

Sperm motility and motion kinematics

The computer-assisted sperm analysis (CASA) program (IVOS® II, Hamilton Thorne) was used to measure sperm motility and motion kinematics. In brief, 3 μL (30–40 × 106 cells/ml) of the samples were added to a preheated Makler counting chamber (Sefi Medical Instrument) at 37°C [19]. Images were analyzed using the FSA 2016 program. Subsequently, sperm motility and motion kinematics (MOT = total sperm motility [%], PRG = progressive sperm motility [%], VAP = average path velocity [μm/s], VCL = curvilinear velocity [μm/s], VSL = straight-line velocity [μm/s], ALH = mean amplitude of lateral head displacement [μm], BCF = beat cross frequency [Hz], LIN = linearity [%; VSL/VCL × 100], and STR = straightness [%; VSL/VAP × 100]) were assessed [16].

Enzyme-linked immunosorbent assay

The expression levels of GRP78 in individual spermatozoa samples from Duroc boars were assessed using enzyme-linked immunosorbent assay (ELISA) [16]. The sperm samples were incubated in rehydration buffer containing 7 M urea, 2 M thiourea, 4% (w/v) 3-([3-cholamidopropyl] dimethylammonio)-1-propanesulfonate (CHAPS), 1% (w/v) octyl β-D-glucopyranoside, 24 μM PMSF, 1% (w/v) dithiothreitol (DTT), 0.05% (v/v) Triton X-100, and 0.002% (w/v) bromophenol blue at 4°C for 1 h [16,20,21]. Then, the samples were centrifuged at 10,000×g for 5 min to separate the suspension. The amount of protein in the sample was measured using the Bradford protein-binding method [22]. Solubilized proteins (50 μg/well) were coated onto 96-well immunoplates and incubated overnight at 4°C. Subsequently, the plates were washed in Dulbecco’s phosphate-buffered saline (DPBS) with 0.05% Tween-20 (PBST) and blocked with blocking solution (1% [w/v] bovine serum albumin [BSA] in DPBS containing PBST) for 90 min at 37°C. The plates were then incubated with GRP78 polyclonal antibody (1:5,000; MyBioSource) for 90 min at 37°C. Subsequently, the plates were incubated for 90 min at 37°C with anti-rabbit IgG horseradish peroxidase (HRP)-conjugated secondary antibody that had been diluted with blocking solution (1:5,000; Abcam). The plates were then incubated with 3,3’,5,5’-tetramethylbenzidine (TMB) solution for 15 min at room temperature (RT) to activate peroxidase. The reaction was stopped by adding 1 N sulfuric acid. Finally, the signal was detected at 450 nm using a microplate reader (Gemini EM; Molecular Devices Corporation).

Statistical analysis

SPSS software (v.27, IBM SPSS) was used to analyze the data. The Pearson correlation coefficient was calculated to determine the association between GRP78 and sperm motion parameters. All data are expressed as the mean ± SEM. The statistical significance was set at p < 0.05.

RESULTS AND DISCUSSION

GRP78 is a well-known chaperone located in the ER. It plays a crucial role in maintaining cellular homeostasis across various cell types [1]. Moreover, studies have revealed that GRP78 is present on the cell surface, where it acts like a receptor to regulate cell growth and survival [1,14]. GRP78 has also been detected in sperm cells and has been reported to participate in both spermatogenesis and sperm capacitation [7,11,23]. Spermatogenesis is a thoroughly studied sequence of events that begins with prospermatogonia and culminates in the production of mature spermatozoa capable of fertilization [7]. However, mature sperms cannot fertilize eggs immediately after ejaculation [24]. For successful fertilization, the ejaculated sperm cells must undergo a unique process after spending a certain amount of time in the female reproductive tract to gain complete fertilizing ability; this process is known as capacitation [25].

During the capacitation process, changes occur in sperm motility and motion kinematic parameters, leading to hyperactivation [26]. Sperm motility is essential for navigating through the female reproductive tract and penetrating barriers, such as the zona pellucida, in which GRP78 plays a role [27,28]. Moreover, numerous studies have demonstrated a positive correlation between sperm motility and fertilization, underscoring its crucial role in successful sperm-oocyte interaction [19,29]. In particular, GRP78 has been associated with sperm motility and motion kinematics [11]. However, further verification is required to precisely establish the correlation between GRP78 and sperm motility. Hence, this study assessed the association of GRP78 with sperm motility parameters (MOT and PRG) and kinematic parameters (VAP, VCL, VSL, ALH, BCF, LIN, and STR). VAP represents sperm velocity along its path [30,31]. VCL represents the instantaneous swimming speed of the sperm, determined by the frequency, wavelength, and amplitude of the flagella [30]. VSL represents the straight-line trajectory of the sperm cell [30], while ALH refers to the displacement of the sperm head along its curvilinear path relative to the average trajectory [30,32]. BCF refers to the number of lateral oscillatory movements of the sperm head around its average path, also known as head displacement frequency [3032]. LIN is the ratio of linear velocity to VCL, calculated as VSL/VCL [30]. STR, or VSL/VAP, is the ratio of linear velocity to mean velocity [30].

In this study, sperm motility and motion kinematic parameters were evaluated using the CASA program (Table 1). The average sperm motility and motion kinematic parameters were as follows: MOT = 89.711 ± 0.498%, PRG = 62.819 ± 1.664%, VAP = 99.646 ± 1.418 μm/s, VCL = 189.410 ± 3.948 μm/s, VSL = 62.224 ± 1.757 μm/s, ALH = 7.531 ± 0.164 μm, BCF = 35.875 ± 0.408 Hz, LIN = 34.852 ± 1.269%, and STR = 62.456 ± 1.530% (Table 1). Interestingly, GRP78 exhibited a positive or negative correlation with sperm motility and various motion kinematic parameters. In particular, GRP78 was negatively correlated with MOT (r = –0.4073, p < 0.01) and BCF (r = –0.2740, p < 0.05; Table 2 and Fig. 1A and 1B). In contrast, GRP78 was positively correlated with LIN (r = 0.2696, p < 0.05) and STR (r = 0.2928, p < 0.05; Table 2 and Fig. 1C and 1D), which could help the sperm navigate through the female reproductive tract and reach the egg [33]. Interestingly, reduced LIN and STR in sperm movement have been linked to infertility issues in humans [23]. While high motility and frequent head movements are generally important for fertilization, a more focused and linear path may be advantageous in some cases [34,35]. Sperm motility parameters are crucial for successful fertilization, as they are closely linked with hyperactivation a necessary condition for effective sperm-oocyte interaction [34]. High-quality motility not only enhances the likelihood of sperm reaching and fertilizing the oocyte but also serve as a reliable indicator of reproductive potential [36]. Our results showed that GRP78 influences key motility parameters, thus it may affect sperm-oocyte interaction. Several motion parameters, such as VCL, ALH, LIN, and STR, are used to classify hyperactivation [26]. Hyperactivation involves changes in sperm motility that allow the sperm to penetrate the zona pellucida and fertilize the oocyte [26]. Various parameters, such as VCL, ALH, and LIN, are particularly associated with this enhanced motility [32]. In a previous study, GRP78 and Hsp60 exhibited no significant effect on PRG, VCL, and ALH. Moreover, none of the motility parameters, such as BCF, STR, and LIN, were modified by the presence of GRP78 or Hsp60 [13]. Similarly, in our study, GRP78 exhibited no significant correlation with PRG, VAP, VCL, VSL, and ALH. However, GRP78 exhibited a correlation with LIN, STR, MOT, and BCF. While GRP78 has been correlated with sperm motility and motion parameters, future research is needed to elucidate its effect on sperm motility and motion parameters in a perspective of reproductive technologies such as artificial insemination and in vitro fertilization.

Table 1. Sperm motility, motion kinematic parameters, and GRP78 levels in each sample
No. MOT PRG VAP VCL VSL ALH BCF LIN STR GRP78
1 79.800 42.600 95.810 225.960 51.270 10.850 26.650 22.760 52.710 0.098
2 81.500 44.700 53.750 92.120 41.570 3.920 39.490 46.670 78.280 0.111
3 83.300 48.800 108.280 226.220 57.550 9.800 30.870 26.240 53.170 0.096
4 84.200 64.900 99.030 179.420 62.740 7.170 38.340 36.180 63.730 0.110
5 84.200 78.300 112.540 193.740 94.630 7.310 34.980 49.410 83.040 0.085
6 84.800 77.200 102.810 167.930 84.830 6.940 31.820 51.880 81.790 0.116
7 84.900 65.400 113.090 243.120 69.450 9.610 34.790 29.590 61.470 0.091
8 85.000 55.000 70.170 106.390 56.470 4.330 32.900 53.430 78.970 0.087
9 85.100 44.300 106.630 216.020 49.510 8.610 34.720 23.400 46.400 0.092
10 85.100 67.400 85.820 127.960 66.420 5.110 33.430 52.770 75.980 0.092
11 85.900 50.000 108.310 209.990 55.670 7.810 37.220 26.880 51.040 0.099
12 86.300 61.800 86.270 167.450 51.990 6.470 39.320 32.660 60.180 0.085
13 86.500 55.500 112.710 214.130 61.700 7.940 38.310 29.550 55.230 0.087
14 86.700 64.700 98.200 197.720 60.560 7.890 36.040 32.210 61.930 0.088
15 88.000 63.200 98.710 194.230 61.190 7.850 35.630 31.940 60.730 0.096
16 88.000 62.600 107.070 233.050 62.630 9.430 33.040 27.800 58.110 0.087
17 88.100 44.200 102.200 211.440 45.390 8.640 35.570 23.170 46.360 0.083
18 88.200 79.700 100.860 165.510 83.940 6.770 31.820 52.130 81.920 0.109
19 88.400 57.200 112.700 211.420 62.010 7.650 40.210 29.890 54.930 0.099
20 88.600 81.800 101.030 166.920 83.900 6.790 32.210 51.220 81.690 0.102
21 88.700 57.900 88.070 180.320 51.650 7.680 36.200 32.010 61.160 0.090
22 88.800 58.600 85.890 162.060 51.730 6.610 38.440 34.210 61.850 0.086
23 88.800 79.100 108.850 179.270 92.100 7.090 29.760 51.770 83.240 0.097
24 89.000 61.000 99.140 191.910 57.360 7.520 35.950 30.830 58.070 0.081
25 89.200 70.200 105.220 222.480 68.400 9.040 35.160 31.630 64.480 0.084
26 89.300 80.700 104.680 172.160 86.500 7.030 31.880 51.980 81.640 0.080
27 89.500 52.100 101.360 201.560 55.230 8.040 35.400 27.860 54.190 0.095
28 89.500 81.000 115.740 215.940 92.810 8.070 35.410 43.310 78.280 0.086
29 89.800 62.400 92.040 182.610 54.770 7.460 34.660 30.760 59.360 0.095
30 89.900 57.900 104.450 192.880 58.690 6.990 39.360 30.940 54.930 0.076
31 90.200 70.500 102.090 181.100 65.680 6.890 38.540 36.990 63.480 0.093
32 90.300 68.700 103.870 185.500 66.070 6.920 38.300 36.430 63.660 0.083
33 90.400 78.800 111.210 208.900 87.000 7.880 35.720 42.360 76.840 0.085
34 90.800 49.200 107.010 218.390 51.810 9.200 32.920 25.020 49.420 0.087
35 91.100 66.600 101.700 182.360 62.940 6.690 38.830 34.910 60.730 0.070
36 91.700 41.700 102.630 205.520 46.480 7.780 37.130 23.200 45.210 0.085
37 91.800 58.700 98.960 197.040 54.520 7.900 34.020 28.380 55.360 0.094
38 92.000 56.500 103.190 202.790 55.840 7.750 36.440 28.100 53.450 0.087
39 92.000 81.600 109.080 208.740 83.830 8.270 32.720 41.420 76.240 0.090
40 92.100 73.500 81.280 118.160 63.490 4.910 33.130 53.900 76.420 0.081
41 92.300 35.400 101.870 211.080 40.450 8.130 38.730 20.050 39.880 0.092
42 92.400 70.100 98.730 194.090 61.790 8.160 34.330 33.910 63.550 0.073
43 92.600 63.100 90.490 165.290 56.040 6.750 39.810 34.700 62.510 0.095
44 92.700 59.800 114.440 235.460 61.060 9.380 34.830 26.920 53.850 0.077
45 92.700 37.700 100.480 205.210 43.900 7.370 41.230 21.710 43.070 0.086
46 92.700 70.500 108.460 213.250 71.410 9.200 31.850 34.170 65.790 0.096
47 92.800 59.200 104.340 195.450 57.820 7.260 38.670 29.830 54.520 0.084
48 93.000 48.200 100.360 206.990 50.000 7.750 39.730 24.310 48.840 0.083
49 93.500 71.000 93.380 176.260 58.290 7.120 38.230 34.720 63.390 0.077
50 93.500 43.000 95.830 197.280 43.740 7.500 38.810 23.670 46.610 0.075
51 93.500 60.400 103.650 194.830 56.630 7.240 38.310 28.830 52.620 0.072
52 94.200 76.800 88.870 159.220 60.370 6.380 40.300 39.320 68.330 0.095
53 95.000 70.500 96.860 191.220 57.920 7.900 37.670 31.800 60.600 0.072
54 95.600 85.000 97.870 159.970 79.970 6.640 32.420 51.220 80.110 0.091
55 96.300 78.700 90.830 159.800 62.690 6.400 39.980 40.320 69.060 0.089
56 96.600 71.100 92.800 174.580 57.510 7.280 38.020 34.700 63.210 0.079
57 96.600 64.200 98.140 195.940 56.840 8.190 34.610 30.600 58.370 0.090
Average 89.711 ± 0.498 62.819 ± 1.664 99.646 ± 1.418 189.410 ± 3.948 62.224 ± 1.757 7.531 ± 0.164 35.875 ± 0.408 34.852 ± 1.269 62.456 ± 1.530 0.089 ± 0.001

MOT = total sperm motility (%); PRG = progressive sperm motility (%); VAP = average path velocity (μm/s); VCL = curvilinear velocity (μm/s); VSL = straight-line velocity (μm/s); ALH = mean amplitude of lateral head displacement (μm); BCF = beat cross frequency (Hz); LIN = linearity (%, [VSL/VCL] × 100); STR = straightness (%, [VSL/VAP] × 100); and GRP78 = glucose-regulated protein 78.

Download Excel Table
Table 2. Correlation between sperm motion parameters and GRP78 expression levels (n = 3)
PRG VAP VCL VSL ALH BCF LIN STR GRP78
MOT 0.221 0.086 0.035 −0.069 −0.043 0.348** −0.123 −0.148 −0.497**
PRG 0.134 −0.254 0.852** −0.229 −0.253 0.748** 0.823** 0.040
VAP 0.836** 0.415** 0.702** −0.172 −0.287* −0.205 −0.139
VCL −0.024 0.935** −0.097 −0.698** −0.570** −0.197
VSL −0.039 −0.456** 0.718** 0.801** 0.173
ALH −0.327* −0.644** −0.494** −0.093
BCF −0.334* −0.385** −0.270*
LIN 0.964** 0.274*
STR 0.293*

MOT = total sperm motility (%); PRG = progressive sperm motility (%); VAP = average path velocity (μm/s); VCL = curvilinear velocity (μm/s); VSL = straight-line velocity (μm/s); ALH = mean amplitude of lateral head displacement (μm); BCF = beat cross frequency (Hz); LIN = linearity (%, [VSL/VCL] × 100); STR = straightness (%, [VSL/VAP] × 100); and GRP78 = glucose-regulated protein 78 (%).

* p ˂ 0.05,

** p ˂ 0.01.

Download Excel Table
jast-68-1-96-g1
Fig. 1. Correction between glucose-regulated protein 78 (GRP78) expression level and various sperm motility and motion kinematic parameters. (A) Correlation between GRP78 expression level and sperm motility (%), (B) correlation between GRP78 expression level and beat cross frequency (Hz), (C) correlation between GRP78 expression level and linearity (%), (D) correlation between GRP78 expression level and straightness (%).
Download Original Figure

In conclusion, this study elucidated the complex effects of GRP78 on sperm motility and kinematic parameters, which are crucial for successful sperm–oocyte interaction and fertilization. Although GRP78 shows a correlation with certain aspects of sperm motility and kinematics, its overall impact on sperm function may be multifaceted. Further research is warranted to investigate the precise mechanism by which GRP78 affects sperm function. Understanding this mechanism could have significant implications for improving male fertility.

Competing interests

No potential conflict of interest relevant to this article was reported.

Funding sources

This study was conducted with the support of the Gyeongsangbuk-do agricultural and fishery R&D activation project. In addition, this research was supported by a grant from the Nakdonggang National Institute of Biological Resources (NNIBR), funded by the Ministry of Climate, Energy and Environment (MCEE) of the Republic of Korea (grant number: NNIBR20261107) and the Korea Environment Industry & Technology Institute (KEITI), through the project to make multi-ministerial national biological research resources a more advanced program funded by the MCEE (grant number: RS-2021-KE001786).

Acknowledgements

Not applicable.

Availability of data and material

Upon reasonable request, the datasets of this study can be available from the corresponding author.

Authors’ contributions

Conceptualization: Uwamahoro C, Lee WJ, Bae JW, Kwon WS.

Data curation: Uwamahoro C, Lee WJ, Bae JW, Kwon WS.

Formal analysis: Uwamahoro C, Jo JH, Jang SI, Jung EJ, Lee WJ, Bae JW, Kim DH, Yi JK, Oh DY, Nam SW, Chung EJ, Ha JJ, Kwon WS.

Methodology: Uwamahoro C, Jo JH, Jang SI, Jung EJ, Lee WJ, Bae JW, Kwon WS.

Validation: Uwamahoro C, Jo JH, Jang SI, Jung EJ, Lee WJ, Bae JW.

Investigation: Uwamahoro C, Jo JH, Jang SI, Jung EJ, Lee WJ, Bae JW, Kim DH, Yi JK, Oh DY, Nam SW, Chung EJ.

Writing – original draft: Uwamahoro C, Kwon WS.

Writing – review & editing: Uwamahoro C, Jo JH, Jang SI, Jung EJ, Lee WJ, Bae JW, Kim DH, Yi JK, Oh DY, Nam SW, Chung EJ, Ha JJ, Kwon WS.

Ethics approval and consent to participate

All processes were performed in accordance with the guidelines and approved by Institutional Animal Care and Use Committee of Kyungpook National University (KNU 2021-207).

REFERENCES

1.

Gonzalez-Gronow M, Selim MA, Papalas J, Pizzo SV. GRP78: a multifunctional receptor on the cell surface. Antioxid Redox Signal. 2009; 11:2299-306

2.

Zhang C. Roles of Grp78 in female mammalian reproduction.In In: MacPhee DJ, editor.editor The role of heat shock proteins in reproductive system development and function. Springer. 2017; p p. 129-55

3.

Ibrahim IM, Abdelmalek DH, Elfiky AA. GRP78: a cell’s response to stress. Life Sci. 2019; 226:156-63

4.

Zhang XX, Li HD, Zhao S, Zhao L, Song HJ, Wang G, et al. The cell surface GRP78 facilitates the invasion of hepatocellular carcinoma cells. BioMed Res Int. 2013; 2013:917296

5.

Lee AS. GRP78 induction in cancer: therapeutic and prognostic implications. Cancer Res. 2007; 67:3496-9

6.

Fu X, Liu J, Liu D, Zhou Y, Guo Y, Wang Z, et al. Glucose-regulated protein 78 modulates cell growth, epithelial–mesenchymal transition, and oxidative stress in the hyperplastic prostate. Cell Death Dis. 2022; 13:78

7.

Huo R, Zhu Y, Ma X, Lin M, Zhou Z, Sha J. Differential expression of glucose-regulated protein 78 during spermatogenesis. Cell Tissue Res. 2004; 316:359-67

8.

Fu R, Yang P, Wu HL, Li ZW, Li ZY. GRP78 secreted by colon cancer cells facilitates cell proliferation via PI3K/Akt signaling. Asian Pac J Cancer Prev. 2014; 15:7245-9

9.

Zhang LH, Zhang X. Roles of GRP78 in physiology and cancer. J Cell Biochem. 2010; 110:1299-305

10.

Lachance C, Fortier M, Thimon V, Sullivan R, Bailey JL, Leclerc P. Localization of Hsp60 and Grp78 in the human testis, epididymis and mature spermatozoa. Int J Androl. 2010; 33:33-44

11.

Lee WJ, Jung EJ, Hwang JM, Bae JW, Kwon WS. GRP78 plays a key role in sperm function via the PI3K/PDK1/AKT pathway. Reprod Toxicol. 2022; 113:103-9

12.

Qin H, Wang R, Pang X, Wei Y, Yang F, Wang J. Association of GRP78 promoter polymorphisms and serum GRP78 level with risk of asthenozoospermia. J Assist Reprod Genet. 2018; 35:2223-31

13.

Lachance C, Bailey JL, Leclerc P. Expression of Hsp60 and Grp78 in the human endometrium and oviduct, and their effect on sperm functions. Hum Reprod. 2007; 22:2606-14

14.

Lobo V, Rao P, Gajbhiye R, Kulkarni V, Parte P. Glucose regulated protein 78 phosphorylation in sperm undergoes dynamic changes during maturation. PLOS ONE. 2015; 10e0141858

15.

Evans JP. The molecular basis of sperm–oocyte membrane interactions during mammalian fertilization. Hum Reprod Update. 2002; 8:297-311

16.

Bae JW, Yi JK, Jeong EJ, Lee WJ, Hwang JM, Kim DH, et al. Ras-related proteins (Rab) play significant roles in sperm motility and capacitation status. Reprod Biol. 2022; 22:100617

17.

Kwon WS, Oh SA, Kim YJ, Rahman MS, Park YJ, Pang MG. Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa. Sci Rep. 2015; 5:13821

18.

Jang SI, Jo JH, Jung EJ, Lee WJ, Hwang JM, Bae JW, et al. Development of an optimal protocol to induce capacitation of boar spermatozoa in vitro. J Anim Reprod Biotechnol. 2022; 37:285-91

19.

Jang SI, Jo JH, Claudine U, Jung EJ, Lee WJ, Hwang JM, et al. Correlation between Rab3A expression and sperm kinematic characteristics. Dev Reprod. 2024; 28:13-9

20.

Kwon WS, Rahman MS, Ryu DY, Khatun A, Pang MG. Comparison of markers predicting litter size in different pig breeds. Andrology. 2017; 5:568-77

21.

Kwon WS, Rahman MS, Lee JS, Yoon SJ, Park YJ, Pang MG. Discovery of predictive biomarkers for litter size in boar spermatozoa. Mol Cell Proteomics. 2015; 14:1230-40

22.

Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976; 72:248-54

23.

Boilard M, Reyes-Moreno C, Lachance C, Massicotte L, Bailey JL, Sirard MA, et al. Localization of the chaperone proteins GRP78 and HSP60 on the luminal surface of bovine oviduct epithelial cells and their association with spermatozoa. Biol Reprod. 2004; 71:1879-89

24.

Salicioni AM, Platt MD, Wertheimer EV, Arcelay E, Allaire A, Sosnik J, et al. Signalling pathways involved in sperm capacitation. Soc Reprod Fertil Suppl. 2007; 65:245-60

25.

Hwang JM, Bae JW, Jung EJ, Lee WJ, Kwon WS. Novaluron has detrimental effects on sperm functions. Int J Environ Res Public Health. 2022; 19:61

26.

Suarez SS, Dai X. Hyperactivation enhances mouse sperm capacity for penetrating viscoelastic media. Biol Reprod. 1992; 46:686-91

27.

Jung EJ, Lee WJ, Hwang JM, Bae JW, Kwon WS. Reproductive toxicity of ritonavir in male: insight into mouse sperm capacitation. Reprod Toxicol. 2022; 114:1-6

28.

Marín-Briggiler CI, González-Echeverría MF, Munuce MJ, Ghersevich S, Caille AM, Hellman U, et al. Glucose-regulated protein 78 (Grp78/BiP) is secreted by human oviduct epithelial cells and the recombinant protein modulates sperm–zona pellucida binding. Fertil Steril. 2010; 93:1574-84

29.

Donnelly ET, Lewis SEM, McNally JA, Thompson W. In vitro fertilization and pregnancy rates: the influence of sperm motility and morphology on IVF outcome. Fertil Steril. 1998; 70:305-14

30.

Rodríguez-Gil JE, Silvers G, Flores E, Palomo J, Ramírez A, Rivera M, et al. Expression of the GM-CSF receptor in ovine spermatozoa: GM-CSF effect on sperm viability and motility of sperm subpopulations after the freezing–thawing process. Theriogenology. 2007; 67:1359-70

31.

Bae JW, Hwang JM, Kwon WS. Prediction of male fertility using Ras-related proteins. J Anim Sci Technol. 2022; 64:1024-34

32.

Suarez SS. Control of hyperactivation in sperm. Hum Reprod Update. 2008; 14:647-57

33.

Hassanpour H, Mirshokraei P, Salehpour M, Amiri K, Ghareghani P, Nasiri L. Canine sperm motility is associated with telomere shortening and changes in expression of shelterin genes. BMC Vet Res. 2023; 19:236

34.

Bolanca I, Obhodas J, Ljiljak D, Matjacic L, Kuna K. Synergetic effects of K, Ca, Cu and Zn in human semen in relation to parameters indicative of spontaneous hyperactivation of spermatozoa. PLOS ONE. 2016; 11e0152445

35.

Chakraborty S, Saha S. Understanding sperm motility mechanisms and the implication of sperm surface molecules in promoting motility. Middle East Fertil Soc J. 2022; 27:4

36.

Li Y, Kalo D, Zeron Y, Roth Z. Progressive motility – a potential predictive parameter for semen fertilization capacity in bovines. Zygote. 2016; 24:70-82

Revised Publication Charge

(Effective for articles submitted beginning January 1, 2026)

The publication charge is 1,500,000 Korean Won per article for members of the Korean Society of Animal Science and Technology (KSAST), and 2,000,000 Korean Won for non-members. First and corresponding authors are required to pay the annual membership fee.

The publication charge for a corresponding author outside Korea is 1,500 US dollars per article.


I don't want to open this window for a day.