Submitted:
29 April 2026
Posted:
02 May 2026
You are already at the latest version
Abstract
Keywords:
Methods and Literature Research
Statistical Analysis:
Overview of Sperm Selection Techniques to Reduce DNA Fragmentation
A. Density Gradient Centrifugation (DGC) Protocol and Efficacy

B. Swim-Up Technique Protocol and Efficacy

C. Magnetic-Activated Cell Sorting (MACS) Protocol and Efficacy

Results
Characteristics of Included Studies
Treatment Protocols
Results
Effects on Protamine Deficiency and Chromatin Structure
Effects on Chromosomal Abnormalities
Clinical Outcomes
IVF Versus ICSI Outcomes
Factors Associated with Treatment Response
| Factor | Findings | Study |
| Initial sperm quality | Samples with low progressive motility, vitality, and membrane integrity showed best SDF reduction | Bucar et al., 2014; Ventura Bucar et al., 2014 |
| Semen diagnosis | Teratozoospermic patients showed lower SDF reduction rates than asthenozoospermic or asthenoteratozoospermic patients | Bucar et al., 2014 |
| Baseline DFI | Higher baseline DFI associated with greater absolute reduction | Toishibekov et al., 2021 |
| PLCζ expression | Higher PLCz1 expression associated with better treatment outcomes | Salehi Novin et al., 2023 |
| Apoptotic markers | High motility, low caspase-3 activation, MMP integrity predicted good response | Said et al., 2006 |
| Morphology baseline | Patients with values above reference for rapid progressive motility showed higher SDF reduction | Ventura Bucar et al., 2014 |
Own Study Algorithm and Results

Population-Specific Considerations
- (A)
- Patients with baseline high DFI (≥30%): Multiple studies specifically enrolled patients meeting this criterion and demonstrated significant improvements in embryo quality and pregnancy outcomes.
- (B)
- Patients with asthenozoospermia or asthenoteratozoospermia: These populations showed better SDF reduction compared to isolated teratozoospermia.
- (C)
- Patients with immotile but viable sperm: Zhang et al. demonstrated that DGC-MACS could effectively select viable spermatozoa from completely immotile populations.
- (D)
- Patients requiring cryopreservation: The combination of DGC-MACS prior to cryopreservation enhanced post- thaw sperm quality and reduced DNA fragmentation.
Limitations Affecting Generalizability
Summary

Author Contributions
Funding
Ethical
Consent for Publication
Conflicts of Interest
References
- Le, M.T.; Dang, H.N.T.; Nguyen, T.V.; Nguyen, T.T.T.; Nguyen, Q.H.V.; Cao, N.T. Effects of sperm preparation techniques on sperm survivability and DNA fragmentation. J. Int. Med. Res. 2022, 50, 3000605221097492. [Google Scholar] [CrossRef]
- Pacheco, A.; Blanco, A.; Bronet, F.; Cruz, M.; Garcia-Fernandez, J.; Garcia-Velasco, J.A. Magnetic-Activated Cell Sorting (MACS): A Useful Sperm-Selection Technique in Cases of High Levels of Sperm DNA Fragmentation. J. Clin. Med. 2020, 9. [Google Scholar] [CrossRef] [PubMed]
- Zhang, H.; Xuan, X.; Yang, S.; Li, X.; Xu, C.; Gao, X. Selection of viable human spermatozoa with low levels of DNA fragmentation from an immotile population using density gradient centrifugation and magnetic-activated cell sorting. Andrologia 2018, 50. [Google Scholar] [CrossRef] [PubMed]
- Bucar, S.; Goncalves, A.; Rocha, E.; Barros, A.; Sousa, M.; Sa, R. DNA fragmentation in human sperm after magnetic-activated cell sorting. J. Assist Reprod. Genet 2015, 32, 147–154. [Google Scholar] [CrossRef] [PubMed]
- Tavalaee, M.; Deemeh, M.R.; Arbabian, M.; Nasr-Esfahani, M.H. Density gradient centrifugation before or after magnetic-activated cell sorting: which technique is more useful for clinical sperm selection? J. Assist Reprod. Genet 2012, 29, 31–38. [Google Scholar] [CrossRef]
- Zhao, F.; Yang, Q.; Shi, S.; Luo, X.; Sun, Y. Semen preparation methods and sperm telomere length: density gradient centrifugation versus the swim up procedure. Sci. Rep. 2016, 6, 39051. [Google Scholar] [CrossRef]
- De Gheselle, S.; Deroose, A.; Stevens, J.; Hiel, M.; Tilleman, K. A methodological validation of an easy one-step swimout semen preparation procedure for selecting DNA fragmentation-free spermatozoa for ICSI. Andrologia 2020, 52, e13852. [Google Scholar] [CrossRef]
- Oguz, Y.; Guler, I.; Erdem, A.; Mutlu, M.F.; Gumuslu, S.; Oktem, M.; Bozkurt, N.; Erdem, M. The effect of swim-up and gradient sperm preparation techniques on deoxyribonucleic acid (DNA) fragmentation in subfertile patients. J. Assist Reprod. Genet 2018, 35, 1083–1089. [Google Scholar] [CrossRef]
- Falquet Guillem, M.; Pacheco, R.; Gisbert-Iranzo, A.; Cano-Extremera, M.; Gil Juliá, M.; Navarro-Gomezlechon, A.; Hervas, I.; Garrido, N. Magnetic-activated cell sorting non-apoptotic sperm selection improves DNA fragmentation and reproductive outcomes: systematic review and meta-analysis. Reprod. BioMed Online 2025, 52, 105152. [Google Scholar] [CrossRef]
- Degheidy, T.; Abdelfattah, H.; Seif, A.; Albuz, F.K.; Gazi, S.; Abbas, S. Magnetic activated cell sorting: an effective method for reduction of sperm DNA fragmentation in varicocele men prior to assisted reproductive techniques. Andrologia 2015, 47, 892–896. [Google Scholar] [CrossRef]
- Sanchez-Martin, P.; Dorado-Silva, M.; Sanchez-Martin, F.; Gonzalez Martinez, M.; Johnston, S.D.; Gosalvez, J. Magnetic cell sorting of semen containing spermatozoa with high DNA fragmentation in ICSI cycles decreases miscarriage rate. Reprod. BioMed Online 2017, 34, 506–512. [Google Scholar] [CrossRef] [PubMed]
- Toishibekov, Y.; Baikoshkarova, S.; Assanova, Y.; Otarbayev, M.K.; Komogortsev, A. Effects of magnetic-activated cell sorting on human sperm motility and DNA fragmentation index. 2021. [Google Scholar] [CrossRef]
- Novin, S.M.; Mehdizadeh, A.; Artimani, T.; Bakhtiari, M.; Mehdizadeh, M.; Aflatoonian, R.; Zandieh, Z. MACS-DGC sperm preparation method resulted in high-quality sperm, top-quality embryo, and higher blastocyst rate in male factor infertile couples with high DNA fragmented sperm. Hum. Fertil. 2023, 26, 1408–1416. [Google Scholar] [CrossRef] [PubMed]
- Chi, H.J.; Kwak, S.J.; Kim, S.G.; Kim, Y.Y.; Park, J.Y.; Yoo, C.S.; Park, I.H.; Sun, H.G.; Kim, J.W.; Lee, K.H. Efficient isolation of sperm with high DNA integrity and stable chromatin packaging by a combination of density-gradient centrifugation and magnetic-activated cell sorting. Clin. Exp. Reprod. Med. 2016, 43, 199–206. [Google Scholar] [CrossRef]
- Yang, S.; Gao, X.; Zhang, T.; Cai, F.; Zhang, H. Density Gradient Centrifugation Alone or the Combination of DGC with Annexin V Magnetic-Activated Cell Sorting Prior to Cryopreservation Enhances the Postthaw Quality of Sperm from Infertile Male Patients with Poor Sperm Quality. Andrologia 2023, 2023, 9030902. [Google Scholar] [CrossRef]
- Lee, T.H.; Liu, C.H.; Shih, Y.T.; Tsao, H.M.; Huang, C.C.; Chen, H.H.; Lee, M.S. Magnetic-activated cell sorting for sperm preparation reduces spermatozoa with apoptotic markers and improves the acrosome reaction in couples with unexplained infertility. Hum. Reprod. 2010, 25, 839–846. [Google Scholar] [CrossRef]
- Delbes, G.; Herrero, M.B.; Troeung, E.T.; Chan, P.T. The use of complimentary assays to evaluate the enrichment of human sperm quality in asthenoteratozoospermic and teratozoospermic samples processed with Annexin-V magnetic activated cell sorting. Andrology 2013, 1, 698–706. [Google Scholar] [CrossRef]
- Fang, L.; Ye, Y.H.; Li, E.S.; Feng, G.F. [Magnetic-activated cell sorting (MACS) versus density gradient centrifugation (DGC) for the selection of human sperm in assisted reproductive techniques]. Zhonghua Yi Xue Za Zhi 2018, 98, 3263–3267. [Google Scholar] [CrossRef]
- Mei, J.; Chen, L.J.; Zhu, X.X.; Yu, W.; Gao, Q.Q.; Sun, H.X.; Ding, L.J.; Wang, J.X. Magnetic-activated cell sorting of nonapoptotic spermatozoa with a high DNA fragmentation index improves the live birth rate and decreases transfer cycles of IVF/ICSI. Asian J. Androl. 2022, 24, 367–372. [Google Scholar] [CrossRef]
- Notrica, J.; Vazquez-Levin, M.; Bossi, N.; Notrica, D.; Fried, E. Teratozoospermic sperm with highly fragmented DNA subjected to Discontinuous Gradient Centrifugation + Annexin V-MACS have similar fertilization and pregnancy rates than non-apoptotic controls. 2013. [Google Scholar] [CrossRef]
- Tezcan, E.; Uncu, G.; kasapoğlu, ı.; Avci, B. Nedeni açıklanamayan infertilite olgularında sperm DNA bütünlüğünün fertilizasyon başarısı ve erken embriyoner gelişime etkisi. Uludağ ÜNiversitesi Tıp Fakültesi Derg. 2020, 46. [Google Scholar] [CrossRef]
- Esbert, M.; Godo, A.; Soares, S.R.; Florensa, M.; Amoros, D.; Ballesteros, A.; Vidal, F. Spermatozoa with numerical chromosomal abnormalities are more prone to be retained by Annexin V-MACS columns. Andrology 2017, 5, 807–813. [Google Scholar] [CrossRef]
- Berteli, T.S.; Da Broi, M.G.; Martins, W.P.; Ferriani, R.A.; Navarro, P.A. Magnetic-activated cell sorting before density gradient centrifugation improves recovery of high-quality spermatozoa. Andrology 2017, 5, 776–782. [Google Scholar] [CrossRef] [PubMed]
- Said, T.; Agarwal, A.; Grunewald, S.; Rasch, M.; Baumann, T.; Kriegel, C.; Li, L.; Glander, H.J.; Thomas, A.J., Jr.; Paasch, U. Selection of nonapoptotic spermatozoa as a new tool for enhancing assisted reproduction outcomes: an in vitro model. Biol. Reprod. 2006, 74, 530–537. [Google Scholar] [CrossRef] [PubMed]
- Ziarati, N.; Tavalaee, M.; Bahadorani, M.; Nasr Esfahani, M.H. Clinical outcomes of magnetic activated sperm sorting in infertile men candidate for ICSI. Hum. Fertil. (Camb) 2019, 22, 118–125. [Google Scholar] [CrossRef]
- Cakar, Z.; Cetinkaya, B.; Aras, D.; Koca, B.; Ozkavukcu, S.; Kaplanoglu, I.; Can, A.; Cinar, O. Does combining magnetic-activated cell sorting with density gradient or swim-up improve sperm selection? J. Assist Reprod. Genet 2016, 33, 1059–1065. [Google Scholar] [CrossRef]
- Bibi, R.; Jahan, S.; Afsar, T.; Almajwal, A.; Hammadeh, M.E.; Amor, H.; Abusharha, A.; Razak, S. Analyzing the Differential Impact of Semen Preparation Methods on the Outcomes of Assisted Reproductive Techniques. Biomedicines 2023, 11. [Google Scholar] [CrossRef]
- Merino-Ruiz, M.; Morales-Martinez, F.A.; Navar-Vizcarra, E.; Valdes-Martinez, O.H.; Sordia-Hernandez, L.H.; Saldivar-Rodriguez, D.; Vidal-Gutierrez, O. The elimination of apoptotic sperm in IVF procedures and its effect on pregnancy rate. JBRA Assist Reprod. 2019, 23, 112–116. [Google Scholar] [CrossRef]
- El Fekih, S.; Gueganic, N.; Tous, C.; Ali, H.B.; Ajina, M.; Douet-Guilbert, N.; Drapier, H.; Beauvillard, D.; Morel, F.; Perrin, A. MACS-annexin V cell sorting of semen samples with high TUNEL values decreases the concentration of cells with abnormal chromosomal content: a pilot study. Asian J. Androl. 2022, 24, 445–450. [Google Scholar] [CrossRef]
- Ward, W.S. Function of sperm chromatin structural elements in fertilization and development. Mol. Hum. Reprod. 2010, 16, 30–36. [Google Scholar] [CrossRef]
- Jiang, W.; Sun, H.; Zhang, J.; Zhou, Q.; Wu, Q.; Li, T.; Zhang, C.; Li, W.; Zhang, M.; Xia, X. Polymorphisms in Protamine 1 and Protamine 2 predict the risk of male infertility: a meta-analysis. Sci. Rep. 2015, 5, 15300. [Google Scholar] [CrossRef]
- Ni, K.; Spiess, A.-N.; Schuppe, H.-C.; Steger, K. The impact of sperm protamine deficiency and sperm DNA damage on human male fertility: a systematic review and meta-analysis. Andrology 2016, 4, 789–799. [Google Scholar] [CrossRef]
- Xie, C.; Chen, X.; Liu, Y.; Wu, Z.; Ping, P. Multicenter study of genetic abnormalities associated with severe oligospermia and non-obstructive azoospermia. J. Int. Med. Res. 2018, 46, 107–114. [Google Scholar] [CrossRef]
- Pylyp, L.Y.; Spinenko, L.O.; Verhoglyad, N.V.; Zukin, V.D. Chromosomal abnormalities in patients with oligozoospermia and non-obstructive azoospermia. J. Assist Reprod. Genet 2013, 30, 729–732. [Google Scholar] [CrossRef] [PubMed]
- Kuroda, S.; Usui, K.; Sanjo, H.; Takeshima, T.; Kawahara, T.; Uemura, H.; Yumura, Y. Genetic disorders and male infertility. Reprod. Med. Biol. 2020, 19, 314–322. [Google Scholar] [CrossRef] [PubMed]
- Lamb, D.J. Chromosome defects and male factor infertility. Fertil. Steril. 2025, 123, 933–942. [Google Scholar] [CrossRef]
- Brahem, S.; Letaief, K.; Ben Ali, H.; Saad, A.; Mehdi, M. Efficacy of the density gradient centrifugation method in eliminating sperm with aneuploidy. Andrologia 2013, 45, 158–162. [Google Scholar] [CrossRef] [PubMed]
- Rouen, A.; Balet, R.; Dorna, M.; Hyon, C.; Pollet-Villard, X.; Chantot-Bastaraud, S.; Joyé, N.; Portnoï, M.F.; Cassuto, N.G.; Siffroi, J.P. Discontinuous gradient centrifugation (DGC) decreases the proportion of chromosomally unbalanced spermatozoa in chromosomal rearrangement carriers. Hum. Reprod. 2013, 28, 2003–2009. [Google Scholar] [CrossRef]
- Norozi-Hafshejani, M.; Tavalaee, M.; Najafi, M.H.; Shapour, F.; Arbabian, M.; Nasr-Esfahani, M.H. MACS-DGC versus DGC Sperm Wash Procedure: Comparing Clinical Outcomes in Couples with Male Factor Infertility Undergoing ICSI: A Clinical Trial Study. Int. J. Fertil. Steril. 2022, 16, 17–22. [Google Scholar] [CrossRef]
- Guzick, D.S.; Overstreet, J.W.; Factor-Litvak, P.; Brazil, C.K.; Nakajima, S.T.; Coutifaris, C.; Carson, S.A.; Cisneros, P.; Steinkampf, M.P.; Hill, J.A.; et al. Sperm morphology, motility, and concentration in fertile and infertile men. N Engl. J. Med. 2001, 345, 1388–1393. [Google Scholar] [CrossRef]
- Aitken, R.J.; Gordon, E.; Harkiss, D.; Twigg, J.P.; Milne, P.; Jennings, Z.; Irvine, D.S. Relative impact of oxidative stress on the functional competence and genomic integrity of human spermatozoa. Biol. Reprod. 1998, 59, 1037–1046. [Google Scholar] [CrossRef]
| Study | Reference | Study Type | Sample Size | Population | Primary Diagnosis |
| Tavalacee et al., 2012 | [5] | Primary study | 15 infertile men | Male infertility | Not specified |
| Degheidy et al., 2015 | [10] | Primary study | 36 patients | Varicocele patients | Varicocele |
| Sanchez-Martin et al., 2017 | [11] | Retrospective cohort | 305 couples | High SDF (≥30%) | High DNA fragmentation |
| Toishibekov et al., 2021 | [12] | Primary study | 63 patients | Primary infertility | Oligoasthenoteratozoospermia |
| Novin et al., 2021 | [13] | Primary study | 30 couples | Male factor infertility | High DFI (>30%) |
| Zhang et al., 2018 | [3] | Primary study | 16 patients | Male factor infertility | Asthenozoospermia |
| Bucar et al., 2014 | [4] | Primary study | 100 semen samples | Various diagnoses | Teratozoospermia, asthenozoospermia |
| Chi et al., 2016 | [14] | Primary study | 458 semen samples | Various diagnoses | Asthenozoospermia, teratozoospermia |
| Yang, S et al., 2023 | [15] | Primary study | 16 patients | Poor sperm quality | Asthenozoospermia, teratozoospermia |
| Pacheco et al., 2020 | [2] | Retrospective study | 724 cycles | High SDF (>20%) | High DNA fragmentation |
| Lee et al., 2010 | [16] | Primary study | 60 couples | Unexplained 12infertility | Unexplained infertility with IUI failures |
| Delbes et al., 2013 | [17] | Primary study | 42 patients | Va13rious diagnoses | Normozoospermic, asthenoteratozoospermic, teratozoo… |
| Fang et al., 2018 | [18] | Primary study | Not specified | IVF patients | Various |
| Mei et al., 2021 | [19] | Primary study | 86 patients | High DFI (≥30%) | High DNA fragmentation |
| Notrica et al., 2013 | [20] | Primary study | 74 couples | Male factor infertility | Teratozoospermia with high DNA fragmentation |
| Tezcan et al., 2020 | [21] | Primary study | 17 couples | Unexplained infertility | Unexplained infertility |
| Esbert et al., 2017 | [22] | Prospective study | 16 males | Abnormal FISH | Chromosomal abnormalities |
| Berteli et al., 2017 | [23] | Primary study | Not specified | Not specified | Various |
| Said et al., 2006 | [24] | In vitro model | 35 samples | Not specified | Various |
| Ziarati et al., 2019 | [25] | Prospective RCT | 62 semen samples | ICSI candidates | Male infertility |
| Çakar et al., 2016 | [26] | Primary study | 20 donors | Normozoospermic, oligozoospermic | Oligozoospermia |
| Bibi et al., 2023 | [27] | Primary study | 385 couples | Isolated teratozoospermia | Teratozoospermia |
| Merino-Ruiz et al., 2019 | [28] | Experimental study | 92 couples | IVF/ICSI patients | Various factors |
| El Fekih et al., 2022 | [29] | Experimental study | 6 men (cryopreserved sperm samples) | infertile male | Not mentioned, high sperm DNA fragmentation |
| Bibi R et al., 2023 | [27] | Prospective study |
385 couples |
Infertile couples undergoing ART/ICSI; | isolated TZS (allocation to 4 sperm prep methods) |
| Falquet Guillem M et al., 2025 | [9] | Systematic review & meta-analysis | 41 studies | comparing MACS vs conventional sperm selection in MAR | Male infertility / high sperm DNA fragmentation |
| Protocol Type | Studies | Key Details |
| DGC-MACS (DGC first) | Degheidy et al.[10]; Sánchez-Martín et al.[11]; Toishibekov et al.[12]; Zhang et al.[3]; Chi et al.[14]; Pacheco et al.[2]; Lee et al.[16]; Delbes et al.[17]; Esbert et al.[22]; Said et al.[24]; Bibi et al.[27]; Merino-Ruiz et al. [28] | DGC followed by MACS selection |
| MACS-DGC (MACS first) | Tavalacee et al.[5]; Novin et al.[13]; Fang et al.[18]; Ziarati et al.[25]; Tezcan et al. [21] | MACS before DGC |
| Combined with swim-up | Bucar et al.[4]; Mei et al. [19] | DGC-MACS-SU or MACS-DGC-SU sequences |
| Comparative protocols | Berteli et al.[23]; Çakar et al. [26] | Multiple protocol comparisons |
| Study (arm) | DFI assay | Pre-treatment DFI (%) | Post-treatment DFI (%) | Absolute Reduction (pp) | % Reduction | Statistical Significance | Notes |
| Tavalaee et al., 2012—DGC | TUNEL | 29.72±3.41 | 21.27±3.47, | 8,45 | 28,4% | p<0.05 vs control | N= 15 semen sample, grouped in OAT (n=3), OA (n=2), asthenozoospermic (n=3) and normozoospermic (n=7) |
| Tavalaee et al., 2012—MACS | TUNEL | 29.72±3.41 | 21.72±3.41 | 8,00 | 26,9% | p<0.05 vs control | |
| Tavalaee et al., 2012—DGC→MACS | TUNEL | 29.72±3.41 | 17.63±3.72 | 12,09 | 40,7% | p<0.05 vs control | |
| Tavalaee et al., 2012—MACS→DGC | TUNEL | 29.72±3.41 | 15.27±3.49 | 14,45 | 48,6% | p<0.05 vs control | |
| Degheidy et al., 2014—DGC→MACS | TUNEL | 12,43 | 9,61 | 2,82 | 22,7% | p<0.05 | Pre = post-DGC aliquot before MACS; Post = after MACS. |
| Toishibekov et al., 2021—Annexin− fraction | SCSA (DFI) | 32,40 | 10,50 | 21,90 | 67,6% | p<0.01 (vs original) | Pre = raw semen; Post = Annexin V− after processing (double DGC + MACS). |
| Chi et al., 2016—DGC | SCD (Halosperm) | 11,50 | 8,10 | 3,40 | 29,6% | p<0.05 vs control | Pre = raw semen control. |
| Chi et al., 2016—MACS (Annexin−) | SCD (Halosperm) | 11,50 | 7,40 | 4,10 | 35,7% | p<0.05 vs control | Pre = raw semen control. |
| Chi et al., 2016—DGC+MACS | SCD (Halosperm) | 11,50 | 4,10 | 7,40 | 64,3% | p<0.05 vs control; lower than DGC or MACS alone | Pre = raw semen control. |
| Zhang et al., 2017—DGC | TUNEL | 9,56 | 5,25 | 4,31 | 45,1% | p<0.05 vs control | Pre = unprocessed control. |
| Zhang et al., 2017—DGC+MACS | TUNEL | 9,56 | 2,75 | 6,81 | 71,2% | p<0.05 vs control and vs DGC; overall p<0.01 | Pre = unprocessed control. |
| Tezcan et al., 2020—DG→MACS+DG | TUNEL | 80,12 | 41,00 | 39,12 | 48,8% | p<0.01 | Both values are post-processing (DG vs MACS+DG); raw baseline not reported. |
| Berteli et al., 2017—DGC | TUNEL | 24,00 | 10,00 | 14,00 | 58,3% | processed groups differ (p<0.05) | Values are medians; baseline not part of processed-group comparison |
| Berteli et al., 2017—DGC→MACS | TUNEL | 24,00 | 6,00 | 18,00 | 75,0% | processed groups differ (p<0.05) | Values are medians; baseline not part of processed-group comparison |
| Berteli et al., 2017—MACS→DGC | TUNEL | 24,00 | 4,00 | 20,00 | 83,3% | processed groups differ (p<0.05) | Values are medians; baseline not part of processed-group comparison |
| Berteli et al., 2017—MACS | TUNEL | 24,00 | 8,00 | 16,00 | 66,7% | processed groups differ (p<0.05) | Values are medians; baseline not part of processed-group comparison |
| Bucar et al., 2014—DGC→SU | TUNEL | 4,30 | 1,10 | 3,20 | 74,4% | T0 vs T1: p<0.05 | T0=raw semen; T1=after DGC+SU; n=20; |
| Bucar et al., 2014—DGC→MACS→SU | TUNEL | 5,00 | 1,00 | 4,00 | 80,0% | T0 vs T1: p<0.05 | T0=raw semen; T1=after DGC+MACS+SU; n=20; |
| Bucar et al., 2014—DGC→SU→MACS | TUNEL | 8,20 | 4,20 | 4,00 | 48,8% | T0 vs T1: p<0.05; less efficient vs other groups: p<0.05 | T0=raw semen; T1=after DGC+SU+MACS; n=20; |
| Bucar et al., 2014—MACS→DGC→SU | TUNEL | 5,50 | 1,10 | 4,40 | 80,0% | T0 vs T1: p<0.05 | T0=raw semen; T1=after MACS+DGC+SU; n=20; |
| Bucar et al., 2014—MACS→SU | TUNEL | 4,30 | 1,20 | 3,10 | 72,1% | T0 vs T1: p<0.05 | T0=raw semen; T1=after MACS+SU; n=20; |
| Bibi et al., 2023—DGC | SCD | 20,90 | 14,70 | 6,20 | 29,7% | Post-prep comparison p=0.01; | TZS Baseline SDF comparable across groups (p=0.68) DGC-MACS lower than DGC & SU |
| Bibi et al., 2023—SU | SCD | 23,10 | 14,50 | 8,60 | 37,2% | Post-prep comparison p=0.01; | DGC-MACS lower than DGC & SU |
| Bibi et al., 2023—DGC-SU | SCD | 25,15 | 14,20 | 10,95 | 43,5% | Post-prep comparison p=0.01; | DGC-MACS lower than DGC & SU |
| Bibi et al., 2023—DGC-MACS | SCD | 25,30 | 12,30 | 13,00 | 51,4% | (ANOVA p=0.01; Tukey) | Lower than DGC & SU after preparation |
| Study | Parameter | Pre-treatment | Post-treatment | Change | |||||
| Toishibekov et al., 2021 | Motility | 32.7 ± 5.9% | 47.2 ± 6.3% | +14.5% | |||||
| Zhang et al., 2018 | Live spermatozoa | 65.88 ± 12.77% | 85.81 ± 5.2% | +19.93% | |||||
| Zhang et al., 2018 | Membrane integrity | 52.5 ± 12.21% | 81.81 ± 5.29% | +29.31% | |||||
| Esbert et al., 2017 | Progressive motility | Baseline | Sign. increased | P < 0.001 | |||||
| Salehi Novin et al., 2023 | Progressive motility | Not reported | Sign. improved | Sign. increase | |||||
| Salehi Novin et al., 2023 | Normal morphology | Not reported | Sign. improved | Sign. increase | |||||
| Cakar Zeynep at al,. 2016 | Sperm concentration in NZS | SU | 43.0±21.3 | 21.1±11.9 | −50.9% | ||||
| SU+MACS | 8.3±6.1 | −80.7% | |||||||
| DGC | 20.0±11.2 | −53.5% | |||||||
| DGC+MACS | 12.1±7.6 | −71.9% | |||||||
| Sperm concentration in OZS | SU | 9.6±3.8 | 3.8±2.9 | −60.4% | |||||
| SU+MACS | 2.5±2.1 | −74.0% | |||||||
| DGC | 6.2±2.8 | −35.4% | |||||||
| DGC+MACS | 3.5±3.4 | −63.5% | |||||||
| Cakar Zeynep at al,. 2016 | Rap. prog. motility in NZS | SU | 19.6±14.3 | 9.3±6.9 | −52.6% | ||||
| SU+MACS | 4.1±2.7 | −79.1% | |||||||
| DGC | 6.0±4.5 | −69.4% | |||||||
| DGC+MACS | 2.5±1.8 | −87.2% | |||||||
| Rap. prog. motility in OZS | SU | 2.4±0.8 | 1.4±1.0 | −41.7% | |||||
| SU+MACS | 0.02±0.04 | −99.2% | |||||||
| DGC | 0.9±0.8 | −62.5% | |||||||
| DG+MACS | 1.5±2.5 | −37.5% | |||||||
| Study | Outcome Measure | DGC Only | DGC-MACS | Statistical Significance |
| Salehi Novin et al., 2023 | Fertilization rate | 73.11% | 72.07% | N.s. |
| Top-quality embryos (Day 3) | 51.47% | 72.5% | P < 0.05 | |
| Blastocyst rate | 48% | 69.69% | Significant | |
| Novin et al., 2021 | Fertilization rate | 73.11% | 72.07% | N.s. |
| Day 3 good grade embryos | 51.47% | 72.5% | P < 0.05 | |
| Pacheco et al., 2020 | Fertilization rate | 73.3% | 75.1% | P = 0.13 |
| Pregnancy rate | 51.5% | 60.7% | P = 0.014 | |
| Miscarriage rate | 20.6% | 14.7% | P = 0.034 | |
| Live birth rate | 31.2% | 47.4% | P = 0.001 | |
| Ziarati et al., 2019 | Fertilization rate | Control | No significant difference | N.s. |
| High-quality embryos | Control | Significantly higher | Significant | |
| Pregnancy rate | Control | Significantly higher | Significant | |
| Mei et al., 2021 | Live birth rate (first cycle) | 53.9% | 63.2% | Trend toward improvement |
| Cumulative live birth rate | 70.7% | 79.5% | Trend toward improvement | |
| Transfer cycles per retrieval | 1.6 ± 0.8 | 1.2 ± 0.5 | Significant reduction | |
| Notrica et al., 2013 | Fertilization rate (ICSI) | 84.2 ± 4.4% | 77.4 ± 3.0% | P = 0.4 |
| Pregnancy rate (ICSI) | 42.9% | 39.0% | P = 1 | |
| Bibi et al., 2023 | Pregnancy rate | Lower in other methods | Higher | P < 0.01 |
| Parameter | Mean ± S.D. | Range | Median |
| Native Sperm SDF | 41.61 ± 11.2% | 30-78% | 38% |
| Post-Treatment Difference | 19.42 ± 9.4% | 4-43% | 19% |
| Statistical Significance | P<0.0001 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.