OBJECTIVE: The aim of this study was to evaluate the effect of Pentoxifylline(PF) on the conventional ICSI program undergone in severe asthenozoospermia. METHOD: Total 348 cycles of ICSI programs undertaken at CHA General Hospital from January, 1996 to September, 2000, were divided into two groups - injected with pentoxifylline-treated sperm(PFT, 204 cycles) or non-treated sperm(NPFT, 144 cycles) and the clinical results of PFT group were compared with those of NPFT. RESULTS: PF-treatment on sperm increased their motility of normozoospermia and severe asthenozoospermia. Fertilization rate of PFT group was higher than those of ICSI programs undertaken using sperm of NPFT(70.6% vs. 62.9%, p<0.01). And, ET and clinical pregnancy rates of PFT were slightly higher than those of NPFT(93.1%, 44.2% vs. 90.3%, 36.2%). CONCLUSION: These results showed that treatment of pentoxifylline has a beneficial role on selection of viable sperm in severe asthenozoospermia.
Asthenozoospermia* ; Fertilization ; Hospitals, General ; Pentoxifylline* ; Pregnancy Rate ; Sperm Injections, Intracytoplasmic* ; Spermatozoa

Human sperm are not only pleomorphic but also tend to show large numbers of obvious abnormalities that may be associated with infertility. It is known that the greater the numbers of abnormalities present in each sperm (teratozoospermic index) relates closely to abnormalities in sperm function and the presence of infertility. The variation in morphology that may be seen among human sperm involve the head, midpiece and tail. An oval head is deemed to be normal but many shape and size variations can be seen in an ejaculate, and these include large, small or tapering heads. Amorphous heads are now known to be associated with chromosomal anomalies and a sperm may even show the presence of a double head. Another anomaly of sperm morphology that is occasionally seen is the abnormality known as globozoospermia. In this condition, the sperm head lacks an acrosome and, as a consequence, the head of each spermatozoon becomes rounded. We have experienced a case of globozoospermia which was conceived by intracytoplasmic sperm injection. So we report this case with a brief review of literatures.
Acrosome ; Head ; Humans ; Infertility ; Male ; Sperm Head ; Sperm Injections, Intracytoplasmic* ; Spermatozoa

OBJECTIVE: Human infertility clinics have been faced the demand for improving clinical results. The purpose of this study was to evaluate the effect of microsurgical removal of damaged blastomeres (DB) in frozen-thawed embryos on the clinical outcomes. METHODS: From January 2003 to May 2004, out of 258 thawing ET cycles were divided into three groups: Group-1 (n=46): Intact cleavaged embryos after thawing. Remained cycles with embryos containing DB were randomly divided into two groups. Group-2 (n=102): Drilling zona pellucida (ZP) of frozen-thawed embryos by acidified Tyrode's solution. Group-3 (n=110): Drilling ZP and removal of DB. Embryos after microsurgical manipulation were transferred into the uterus of patients. RESULTS: Clinical profiles and the mean number of transferred embryos among three groups were not different. Pregnancy and implantation rates were similar in three groups. It were 30.4% and 9.3% in Group-1, 29.4% and 7.8% in Group-2, and 26.4% and 7.6% in group-3, respectively. Miscarriage rate in Group-3 (37.9%) was slightly higher than those in Group-1 and Group-2 (14.3% and 23.3%), but it was not statistically significant. CONCLUSION: Intact cleaving embryos after DB removal showed higher potent of pregnancy and implantation. We could not find any improvement of clinical outcome by removal of DB in frozen-thawed embryos.
Abortion, Spontaneous ; Blastomeres* ; Embryo Transfer* ; Embryonic Structures* ; Female ; Humans ; Infertility ; Pregnancy ; Pregnancy Rate ; Uterus ; Zona Pellucida

Purpose: By utilizing both protein and mRNA expression patterns, we can identify more detailed and diverse immune cells, providing insights into understanding the complex immune landscape in cancer ecosystems. Materials and Methods: This study was performed by obtaining publicly available Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus database. A total of 94674 total cells were analyzed, of which 32412 were T cells. There were 228 protein features and 16262 mRNA features in the data.The Seurat package was used for quality control and preprocessing, principal component analysis was performed, and Uniform Manifold Approximation and Projection was used to visualize the clusters. Protein and mRNA levels in the CITE-seq were analyzed. Results: We observed that a subset of T cells in the clusters generated at the protein level divided better. By identifying mRNA markers that were highly correlated with the CD4 and CD8 proteins and cross-validating CD26 and CD99 markers using flow cytometry, we found that CD4 + and CD8+ T cells were better discriminated in PBMCs. Weighted Nearest Neighbor clustering results identified a previously unobserved T cell subset. Conclusion In this study, we used CITE-seq data to confirm that protein expression patterns could be used to identify cells more precisely. These findings will improve our understanding of the heterogeneity of immune cells in the future and provide valuable insights into the complexity of the immune response in health and disease.

Purpose: By utilizing both protein and mRNA expression patterns, we can identify more detailed and diverse immune cells, providing insights into understanding the complex immune landscape in cancer ecosystems. Materials and Methods: This study was performed by obtaining publicly available Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus database. A total of 94674 total cells were analyzed, of which 32412 were T cells. There were 228 protein features and 16262 mRNA features in the data.The Seurat package was used for quality control and preprocessing, principal component analysis was performed, and Uniform Manifold Approximation and Projection was used to visualize the clusters. Protein and mRNA levels in the CITE-seq were analyzed. Results: We observed that a subset of T cells in the clusters generated at the protein level divided better. By identifying mRNA markers that were highly correlated with the CD4 and CD8 proteins and cross-validating CD26 and CD99 markers using flow cytometry, we found that CD4 + and CD8+ T cells were better discriminated in PBMCs. Weighted Nearest Neighbor clustering results identified a previously unobserved T cell subset. Conclusion In this study, we used CITE-seq data to confirm that protein expression patterns could be used to identify cells more precisely. These findings will improve our understanding of the heterogeneity of immune cells in the future and provide valuable insights into the complexity of the immune response in health and disease.

Purpose: By utilizing both protein and mRNA expression patterns, we can identify more detailed and diverse immune cells, providing insights into understanding the complex immune landscape in cancer ecosystems. Materials and Methods: This study was performed by obtaining publicly available Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus database. A total of 94674 total cells were analyzed, of which 32412 were T cells. There were 228 protein features and 16262 mRNA features in the data.The Seurat package was used for quality control and preprocessing, principal component analysis was performed, and Uniform Manifold Approximation and Projection was used to visualize the clusters. Protein and mRNA levels in the CITE-seq were analyzed. Results: We observed that a subset of T cells in the clusters generated at the protein level divided better. By identifying mRNA markers that were highly correlated with the CD4 and CD8 proteins and cross-validating CD26 and CD99 markers using flow cytometry, we found that CD4 + and CD8+ T cells were better discriminated in PBMCs. Weighted Nearest Neighbor clustering results identified a previously unobserved T cell subset. Conclusion In this study, we used CITE-seq data to confirm that protein expression patterns could be used to identify cells more precisely. These findings will improve our understanding of the heterogeneity of immune cells in the future and provide valuable insights into the complexity of the immune response in health and disease.

Purpose: By utilizing both protein and mRNA expression patterns, we can identify more detailed and diverse immune cells, providing insights into understanding the complex immune landscape in cancer ecosystems. Materials and Methods: This study was performed by obtaining publicly available Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus database. A total of 94674 total cells were analyzed, of which 32412 were T cells. There were 228 protein features and 16262 mRNA features in the data.The Seurat package was used for quality control and preprocessing, principal component analysis was performed, and Uniform Manifold Approximation and Projection was used to visualize the clusters. Protein and mRNA levels in the CITE-seq were analyzed. Results: We observed that a subset of T cells in the clusters generated at the protein level divided better. By identifying mRNA markers that were highly correlated with the CD4 and CD8 proteins and cross-validating CD26 and CD99 markers using flow cytometry, we found that CD4 + and CD8+ T cells were better discriminated in PBMCs. Weighted Nearest Neighbor clustering results identified a previously unobserved T cell subset. Conclusion In this study, we used CITE-seq data to confirm that protein expression patterns could be used to identify cells more precisely. These findings will improve our understanding of the heterogeneity of immune cells in the future and provide valuable insights into the complexity of the immune response in health and disease.