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Background: Sperm preparation is an important step during assisted reproduction, and different assisted reproductive techniques have different sperm quality requirements. For intrauterine insemination (IUI), the total motile sperm count is a predictor of a patient's fertility. Objective: The aim of this study was to compare the sperm recovery rate and DNA fragmentation index (DFI) outcomes following density mini-gradient and single-layer centrifugation in preparation for intrauterine insemination (IUI). Methods: A total of 30 semen samples with concentrations under 15 million cells/ml were obtained, and each sample was divided into 3 aliquots, with each aliquot subjected to 1 of 3 separation methods: mini-gradient, single-layer using a 90% density layer (single 90-layer), and single-layer using a 45% density layer (single 45-layer). Total sperm motility and sperm recovery rates were compared before and after preparation using each method. Results: The sperm concentration obtained using single 45-layer was higher than the other groups (p<0.05), but sperm motility was higher using the mini-gradient and single 90-layer methods higher than the single 45-layer method (p<0.05). The recovered sperm motility rates for the mini-gradient, single 90-layer, and single 45-layer methods were 57.6% ± 20.6%, 62.8% ± 18.5%, and 78.7% ± 12.4%, respectively, indicating a better outcome for the single 45-layer method than for the other methods. Conclusion: All of these methods can be applied to sperm preparation for IUI, and the optimal method can be selected based on initial sperm quality to collect sperm with good motility and DNA integrity to achieve a satisfactory pregnancy rate.
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[This corrects the article DOI: 10.3389/fonc.2022.963896.].
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Background: The interactions between tumor cells and the host immune system play a crucial role in lung cancer progression and resistance to treatment. The alterations of EGFR signaling have the potential to produce an ineffective tumor-associated immune microenvironment by upregulating a series of immune suppressors, including inhibitory immune checkpoints, immunosuppressive cells, and cytokines. Elevated Heparin-binding EGF-like growth factor (HB-EGF) expression, one EGFR ligand correlated with higher histology grading, worse patient prognosis, and lower overall survival rate, acts as a chemotactic factor. However, the role of heparin-binding epidermal growth factor-like growth factor (HB-EGF) in the accumulation of immune cells in the tumor microenvironment remains unclear. Methods: The clinical association of HB-EGF expression in lung cancer was examined using the Gene Expression Omnibus (GEO) repository. HB-EGF expression in different cell types was determined using single-cell RNA sequencing (scRNA-seq) dataset. The correlation between HB-EGF expression and cancer-immune infiltrated cells was investigated by performing TIMER and ClueGo pathways analysis from TCGA database. The chemotaxis of HB-EGF and macrophage infiltration was investigated using migration and immunohistochemical staining. Results: The high HB-EGF expression was significantly correlated with poor overall survival in patients with lung adenocarcinoma (LUAD) but not lung squamous cell carcinoma (LUSC). Moreover, HB-EGF expression was correlated with the infiltration of monocytes, macrophages, neutrophils, and dendritic cells in LUAD but not in LUSC. Analysis of scRNA-seq data revealed high HB-EGF expression in lung cancer cells and myeloid cells. Results from the pathway analysis and cell-based experiment indicated that elevated HB-EGF expression was associated with the presence of macrophage and lung cancer cell migration. HB-EGF was highly expressed in tumors and correlated with M2 macrophage infiltration in LUAD. Conclusions: HB-EGF is a potential prognostic marker and therapeutic target for lung cancer progression, particularly in LUAD.