SARS-CoV-2 spike protein seropositivity from vaccination or infection does not cause sterility.

Several reports claim that the purported similarity between syncytin-1 and the SARS-CoV-2 spike protein may induce immune cross-reactivity resulting in female sterility. We used frozen embryo transfer as a model for comparing the implantation rates between SARS-CoV-2 vaccine seropositive, infection seropositive, and seronegative women. No difference was found in serum hCG documented implantation rates or sustained implantation rates between the three groups. Reports claiming that COVID-19 vaccines or illness cause female sterility are unfounded.

Multicentric, prospective observational data show sperm capacitation predicts male fertility, and cohort comparison reveals a high prevalence of impaired capacitation in men questioning their fertility.

RESEARCH QUESTIONS: Can a previously defined relationship between sperm capacitation and the probability of a man generating pregnancy within three cycles, prospectively predict male fertility in diverse clinical settings? A second study asked, what is the prevalence of impaired sperm fertilizing ability in men questioning their fertility (MQF), and does this relate to traditional semen analysis metrics? DESIGN: In the multicentric, prospective observational study, data (n = 128; six clinics) were analysed to test a published relationship between the percentage of fertilization-competent, capacitated spermatozoa (Cap-Score) and probability of generating pregnancy (PGP) within three cycles of intrauterine insemination. Logistic regression of total pregnancy outcomes (n = 252) assessed fit. In the cohort comparison, Cap-Scores of MQF (n = 2155; 22 clinics) were compared with those of 76 fertile men. RESULTS: New outcomes (n = 128) were rank-ordered by Cap-Score and divided into quintiles (25-26 per group); chi-squared testing revealed no difference between predicted and observed pregnancies (P = 0.809). Total outcomes (n = 252; 128 new + 124 previous) were pooled and the model recalculated, yielding an improved fit (P < 0.001). Applying the Akaike information criterion found that the optimal model used Cap-Score alone. Cap-Scores were performed on 2155 men (with semen analysis data available for 1948). To compare fertilizing ability, men were binned by PGP (≤19%, 20-29%, 30-39%, 40-49%, 50-59%, ≥60%). Distributions of PGP and the corresponding Cap-Scores were significantly lower in MQF versus fertile men (P < 0.001). Notably, 64% of MQF with normal volume, concentration and motility (757/1183) had PGP of 39% or less (Cap-Scores ≤31), versus 25% of fertile men. CONCLUSIONS: Sperm capacitation prospectively predicted male fertility. Impaired capacitation affects many MQF with normal semen analysis results, informing diagnosis versus idiopathic infertility.

Cap-Score™ prospectively predicts probability of pregnancy.

Semen analysis (SA) poorly predicts male fertility, because it does not assess sperm fertilizing ability. The percentage of capacitated sperm determined by GM1 localization ("Cap-Score™"), differs between cohorts of fertile and potentially infertile men, and retrospectively, between men conceiving or failing to conceive by intrauterine insemination (IUI). Here, we prospectively tested whether Cap-Score can predict male fertility with the outcome being clinical pregnancy within ≤3 IUI cycles. Cap-Score and SA were performed (n = 208) with outcomes initially available for 91 men. Men were predicted to have either low (n = 47) or high (n = 44) chance of generating pregnancy using previously-defined Cap-Score reference ranges. Absolute and cumulative pregnancy rates were reduced in men predicted to have low pregnancy rates versus high ([absolute: 10.6% vs. 29.5%; p = 0.04]; [cumulative: 4.3% vs. 18.2%, 9.9% vs. 29.1%, and 14.0% vs. 32.8% for cycles 1-3; n = 91, 64, and 41; p = 0.02]). Only Cap-Score, not male/female age or SA results, differed significantly between outcome groups. Logistic regression evaluated Cap-Score and SA results relative to the probability of generating pregnancy (PGP) for men who were successful in, or completed, three IUI cycles (n = 57). Cap-Score was significantly related to PGP (p = 0.01). The model fit was then tested with 67 additional patients (n = 124; five clinics); the equation changed minimally, but fit improved (p < 0.001; margin of error: 4%). The Akaike Information Criterion found the best model used Cap-Score as the only predictor. These data show that Cap-Score provides a practical, predictive assessment of male fertility, with applications in assisted reproduction and treatment of male infertility.

Multiple micromanipulations for preimplantation genetic diagnosis do not affect embryo development to the blastocyst stage.

To determine the impact of multiple micromanipulation procedures for preimplantation genetic diagnosis (PGD) on embryo development, a retrospective analysis was performed of 9,925 embryos (862 PGD cycles), which were compared with 28,126 nonbiopsied embryos (2,751 consecutive intracytoplasmic sperm injection [ICSI] cycles) from the same time period. Because fertilization rates, the proportion of embryos with > or = 6 cells on day 3, and blastocyst rates were similar in the PGD and control groups, we conclude that multiple micromanipulations on oocytes and embryos can be performed safely for PGD.

Preimplantation genetic diagnosis with HLA matching.

Preimplantation genetic diagnosis (PGD) has recently been offered in combination with HLA typing, which allowed a successful haematopoietic reconstitution in affected siblings with Fanconi anaemia by transplantation of stem cells obtained from the HLA-matched offspring resulting from PGD. This study presents the results of the first PGD practical experience performed in a group of couples at risk for producing children with genetic disorders. These parents also requested preimplantation HLA typing for treating the affected children in the family, who required HLA-matched stem cell transplantation. Using a standard IVF procedure, oocytes or embryos were tested for causative gene mutations simultaneously with HLA alleles, selecting and transferring only those unaffected embryos, which were HLA matched to the affected siblings. The procedure was performed for patients with children affected by Fanconi anaemia (FANC) A and C, different thalassaemia mutations, Wiscott-Aldrich syndrome, X-linked adrenoleukodystrophy, X-linked hyperimmunoglobulin M syndrome and X-linked hypohidrotic ectodermal displasia with immune deficiency. Overall, 46 PGD cycles were performed for 26 couples, resulting in selection and transfer of 50 unaffected HLA-matched embryos in 33 cycles, yielding six HLA-matched clinical pregnancies and the birth of five unaffected HLA-matched children. Despite the controversy of PGD use for HLA typing, the data demonstrate the usefulness of this approach for at-risk couples, not only to avoid the birth of affected children with an inherited disease, but also for having unaffected children who may also be potential HLA-matched donors of stem cells for treatment of affected siblings.

Preimplantation HLA testing.

CONTEXT: Preimplantation genetic diagnosis (PGD) has become an option for couples for whom termination of an affected pregnancy identified by traditional prenatal diagnosis is unacceptable and is applicable to indications beyond those of prenatal diagnosis, such as HLA matching to affected siblings to provide stem cell transplantation. OBJECTIVE: To describe preimplantation HLA typing, not involving identification of a causative gene, for couples who had children with bone marrow disorders at need for HLA-matched stem cell transplantation. DESIGN, SETTING, AND PARTICIPANTS: HLA matching procedures conducted at a single site during 2002-2003 in an in vitro fertilization program for 9 couples with children affected by acute lymphoid leukemia, acute myeloid leukemia, or Diamond-Blackfan anemia requiring HLA-matched stem cell transplantation. In 13 clinical cycles, DNA in single blastomeres removed from 8-cell embryos following in vitro fertilization was analyzed for HLA genes simultaneously with analysis for short tandem repeats in the HLA region to select and transfer only those embryos that were HLA matched to affected siblings. MAIN OUTCOME MEASURES: Results of HLA matching and pregnancy outcome. RESULTS: As a result of testing a total of 199 embryos, 45 (23%) HLA-matched embryos were selected, of which 28 were transferred in 12 clinical cycles, resulting in 5 singleton pregnancies and birth of 5 HLA-matched healthy children. CONCLUSION: This is the first known experience of preimplantation HLA typing performed without PGD for a causative gene, providing couples with a realistic option of having HLA-matched offspring to serve as potential donors of stem cells for their affected siblings.