O-295 Passive sperm sorting does not select for sperm with lower DNA fragmentation levels compared to density gradient centrifugation in split samples

Study question

Does the passive sperm separation device, Zymot, select sperm with lower DNA fragmentation levels compared to Density Gradient Centrifugation (DGC)?

Summary answer

The sperm separation device Zymot did not select sperm with lower DNA fragmentation levels compared to sperm selected by DGC or the neat sample.

What is known already

Previous studies have shown that sperm with high DNA fragmentation levels result in lower fertilisation rates, impaired embryo development, lower pregnancy rates and increases the risk of miscarriage. Currently, prior to fertility treatment, the method of choice for sperm selection is using DGC, which involves the centrifugation of sperm. Therefore, there is a clinical need for a sperm selection method that avoids centrifugation, while mimicking the natural process of sperm selection in the female reproductive tract and selects sperm with intact DNA.

Study design, size, duration

This blinded controlled study included 29 patients from which semen samples were obtained between May 2021- January 2022 at ReproMed fertility clinic (Dublin, Ireland). Ejaculates were split and processed using either DGC, passive separation device (Zymot; 850 uL) or unprocessed (neat; control) and assessed for sperm quality in terms of motility (progressive, non-progressive and immotile), morphology and DNA fragmentation (assessed using the COMET assay). Two hundred sperm were assessed for each analysis.

Participants/materials, setting, methods

Motility and morphology were assessed using microscopy techniques as per WHO guidelines. DNA fragmentation was assessed using the COMET assay and each sample was given an Average COMET score (ACS), Low COMET score (LCS) and High COMET score (HCS). All data were checked for normality of distribution following which they were analysed using analysis of variance (ANOVA) with Bonferroni post-hoc tests. All values presented are mean ± standard error of the mean.

Main results and the role of chance

Sperm sorted by the Zymot device had higher progressive motility (78.7 + 3.42%) than both the neat (53.3 + 3.40%) and DGC (51.8 + 3.74%%) samples (P < 0.001). Sperm selected by DGC had a greater percentage of sperm with non-progressive motility (16.0 + 2.02%) compared to the neat sample (8.6 + 1.11%) and the Zymot device (9.9 + 1.60%). The overall percentage of normal morphology in the neat sample was 4.3 + 0.16% and there was no effect of sperm selection method on the percentage of sperm with normal morphology (P > 0.05). The ACS in the neat sample was 32.5 + 1.48% and neither DGC (28.2 + 1.45%) or Zymot (29.1 + 1.50%) improved this (P > 0.05). In line with this, neither LCS nor HCS differed between the treatments (P > 0.05).

Limitations, reasons for caution

A higher number of patient samples are needed to validate the efficacy of the Zymot sperm separation device on DNA fragmentation levels. Also, targeting patients with higher DNA fragmentation in the neat sample may yield greater benefits.

Wider implications of the findings

The results of this study indicate that the passive sperm selection device, Zymot, selects more motile sperm but does not select sperm with intact DNA. There is a need for a non-cell destructive method to select sperm with intact DNA to improve the outcomes for couples undergoing fertility treatment.

Trial registration number

Not Applicable

The Host-Microbiome Response to Hyperbaric Oxygen Therapy in Ulcerative Colitis Patients

BACKGROUND & AIMS

Hyperbaric oxygen therapy (HBOT) is a promising treatment for moderate-to-severe ulcerative colitis. However, our current understanding of the host and microbial response to HBOT remains unclear. This study examined the molecular mechanisms underpinning HBOT using a multi-omic strategy.

METHODS

Pre- and post-intervention mucosal biopsies, tissue, and fecal samples were collected from HBOT phase 2 clinical trials. Biopsies and fecal samples were subjected to shotgun metaproteomics, metabolomics, 16s rRNA sequencing, and metagenomics. Tissue was subjected to bulk RNA sequencing and digital spatial profiling (DSP) for single-cell RNA and protein analysis, and immunohistochemistry was performed. Fecal samples were also used for colonization experiments in IL10^-/- germ-free UC mouse models.

RESULTS

Proteomics identified negative associations between HBOT response and neutrophil azurophilic granule abundance. DSP identified an HBOT-specific reduction of neutrophil STAT3, which was confirmed by immunohistochemistry. HBOT decreased microbial diversity with a proportional increase in Firmicutes and a secondary bile acid lithocholic acid. A major source of the reduction in diversity was the loss of mucus-adherent taxa, resulting in increased MUC2 levels post-HBOT. Targeted database searching revealed strain-level associations between Akkermansia muciniphila and HBOT response status. Colonization of IL10^-/- with stool obtained from HBOT responders resulted in lower colitis activity compared with non-responders, with no differences in STAT3 expression, suggesting complementary but independent host and microbial responses.

CONCLUSIONS

HBOT reduces host neutrophil STAT3 and azurophilic granule activity in UC patients and changes in microbial composition and metabolism in ways that improve colitis activity. Intestinal microbiota, especially strain level variations in A muciniphila, may contribute to HBOT non-response.

Salivary bacterial signatures in depression-obesity comorbidity are associated with neurotransmitters and neuroactive dipeptides

BACKGROUND

Depression and obesity are highly prevalent, often co-occurring conditions marked by inflammation. Microbiome perturbations are implicated in obesity-inflammation-depression interrelationships, but how the microbiome mechanistically contributes to pathology remains unclear. Metabolomic investigations into microbial neuroactive metabolites may offer mechanistic insights into host-microbe interactions. Using 16S sequencing and untargeted mass spectrometry of saliva, and blood monocyte inflammation regulation assays, we identified key microbes, metabolites and host inflammation in association with depressive symptomatology, obesity, and depressive symptomatology-obesity comorbidity.

RESULTS

Gram-negative bacteria with inflammation potential were enriched relative to Gram-positive bacteria in comorbid obesity-depression, supporting the inflammation-oral microbiome link in obesity-depression interrelationships. Oral microbiome was more highly predictive of depressive symptomatology-obesity co-occurrences than of obesity or depressive symptomatology independently, suggesting specific microbial signatures associated with obesity-depression co-occurrences. Mass spectrometry analysis revealed significant changes in levels of signaling molecules of microbiota, microbial or dietary derived signaling peptides and aromatic amino acids among depressive symptomatology, obesity and comorbid obesity-depression. Furthermore, integration of the microbiome and metabolomics data revealed that key oral microbes, many previously shown to have neuroactive potential, co-occurred with potential neuropeptides and biosynthetic precursors of the neurotransmitters dopamine, epinephrine and serotonin.

CONCLUSIONS

Together, our findings offer novel insights into oral microbial-brain connection and potential neuroactive metabolites involved.

Abstract TMP1: Multi-omic Biomarker Development In A Mendelian Neurovascular Disease, Cavernous Angioma

Introduction: Cavernous Angioma (CA) is a hemorrhagic neurovascular disease characterized by either a familial form with autosomal dominant germline mutations in one of three CCM genes or a sporadic form with somatic mutations of the same genes. Circulating proteins have been previously investigated as possible diagnostic and prognostic biomarkers of disease activity, with up to 86% and 88% sensitivity and specificity, respectively. We hypothesize that differentially expressed (DE) plasma microRNAs and metabolites in CA patients can be integrated with plasma proteins to increase the sensitivity and specificity of circulating CA biomarkers.

Methods: Mechanistically relevant homologous DE miRNAs were identified between familial CA patients and preclinical murine models and validated in an independent cohort of patients using real time qPCR. In conjunction, DE metabolites were determined in CA patients using liquid-chromatography mass spectrometry. The interactions of these metabolites with the previously established CA transcriptome, proteome, and microbiome were queried to assess for mechanistic relevance. Optimal diagnostic models of proteins, DE miRNAs, and DE metabolites alone were next established. Plasma metabolites and miRNAs were then separately integrated with protein, using a machine learning-implemented, Bayesian approach to develop diagnostic CA biomarkers.

Results: The optimal diagnostic biomarker model with only DE miRNAs performed at up to 68%, while proteins and metabolites achieved up to 68%, and 82% accuracy respectively. The optimal combination for proteins with miRNAs improved the diagnostic association of familial-CA disease to up to 94.7% sensitivity and 100% specificity. Integrating metabolites and proteins improved the diagnosis of CA disease and its clinical manifestations to 100% sensitivity and 100% specificity.

Conclusion: Combining plasma proteins with miRNAs or metabolites can improve diagnostic accuracy of CA disease and its disease characteristics above any single molecular modality alone. Future studies should incorporate proteins, miRNAs, and metabolites to further increase diagnostic accuracy, and validate these in a larger cohort with control for demographic and disease features.

Multi-omics analyses of the ulcerative colitis gut microbiome link Bacteroides vulgatus proteases with disease severity

Ulcerative colitis (UC) is driven by disruptions in host-microbiota homoeostasis, but current treatments exclusively target host inflammatory pathways. To understand how host-microbiota interactions become disrupted in UC, we collected and analysed six faecal- or serum-based omic datasets (metaproteomic, metabolomic, metagenomic, metapeptidomic and amplicon sequencing profiles of faecal samples and proteomic profiles of serum samples) from 40 UC patients at a single inflammatory bowel disease centre, as well as various clinical, endoscopic and histologic measures of disease activity. A validation cohort of 210 samples (73 UC, 117 Crohn's disease, 20 healthy controls) was collected and analysed separately and independently. Data integration across both cohorts showed that a subset of the clinically active UC patients had an overabundance of proteases that originated from the bacterium Bacteroides vulgatus. To test whether B. vulgatus proteases contribute to UC disease activity, we first profiled B. vulgatus proteases found in patients and bacterial cultures. Use of a broad-spectrum protease inhibitor improved B. vulgatus-induced barrier dysfunction in vitro, and prevented colitis in B. vulgatus monocolonized, IL10-deficient mice. Furthermore, transplantation of faeces from UC patients with a high abundance of B. vulgatus proteases into germfree mice induced colitis dependent on protease activity. These results, stemming from a multi-omics approach, improve understanding of functional microbiota alterations that drive UC and provide a resource for identifying other pathways that could be inhibited as a strategy to treat this disease.

Class Ib MHC-Mediated Immune Interactions Play a Critical Role in Maintaining Mucosal Homeostasis in the Mammalian Large Intestine

Lymphocytes within the intestinal epithelial layer (IEL) in mammals have unique composition compared with their counterparts in the lamina propria. Little is known about the role of some of the key colonic IEL subsets, such as TCRαβ⁺CD8⁺ T cells, in inflammation. We have recently described liver-enriched innate-like TCRαβ⁺CD8αα regulatory T cells, partly controlled by the non-classical MHC molecule, Qa-1^b, that upon adoptive transfer protect from T cell-induced colitis. In this study, we found that TCRαβ⁺CD8αα T cells are reduced among the colonic IEL during inflammation, and that their activation with an agonistic peptide leads to significant Qa-1^b-dependent protection in an acute model of colitis. Cellular expression of Qa-1^b during inflammation and corresponding dependency in peptide-mediated protection suggest that Batf3-dependent CD103⁺CD11b^- type 1 conventional dendritic cells control the protective function of TCRαβ⁺CD8αα T cells in the colonic epithelium. In the colitis model, expression of the potential barrier-protective gene, Muc2, is enhanced upon administration of a Qa-1b agonistic peptide. Notably, in steady state, the mucin metabolizing Akkermansia muciniphila was found in significantly lower abundance amid a dramatic change in overall microbiome and metabolome, increased IL-6 in explant culture, and enhanced sensitivity to dextran sulfate sodium in Qa-1b deficiency. Finally, in patients with inflammatory bowel disease, we found upregulation of HLA-E, a Qa-1^b analog with inflammation and biologic non-response, in silico, suggesting the importance of this regulatory mechanism across species.

Recurrent urinary tract infection: Association of clinical profiles with urobiome composition in women

AIMS

Clinical profiles of women with recurrent urinary tract infection (RUTI) are correlated with their urinary microbes.

METHODS

This IRB-approved, cross-sectional study enrolled adult women with RUTI. Urine samples (catheterized and voided) underwent culture by expanded quantitative urine culture (EQUC) and standard urine culture (SUC) methods. A validated symptom questionnaire, relevant clinical variables, and EQUC were used to identify symptom clusters and detect associations with specific urinary microbes.

RESULTS

Most (36/43) participants were postmenopausal; the average age was 67 years. 51% reported vaginal estrogen use; 51% reported sexual activity. Although single symptoms were not associated with specific urinary microbes, EQUC results were correlated with five distinct clinical profile clusters: Group A: odor, cloudiness, and current vaginal estrogen use (no culture result association). Group B: frequency, low back pain, incomplete emptying, and vaginal estrogen (significantly increased proportion of Lactobacillus-positive cultures). Group C: pain/burning, odor, cloudiness, and urgency (high proportions of UTI-associated microbe-positive cultures). Group D: frequency, urgency, pain/burning, and current vaginal estrogen use (increased number of no growth cultures). Group E: frequency, urgency, pain/burning, odor, overactive bladder, and sexually active (significantly increased proportion of Klebsiella-positive cultures).

CONCLUSIONS

Distinct clinical profiles are associated with specific urinary microbes in women with RUTI. Refined assessments of clinical profiles may provide useful insights that could inform diagnostic and therapeutic considerations.

Untargeted mass spectrometry-based metabolomics approach unveils molecular changes in raw and processed foods and beverages

In our daily lives, we consume foods that have been transported, stored, prepared, cooked, or otherwise processed by ourselves or others. Food storage and preparation have drastic effects on the chemical composition of foods. Untargeted mass spectrometry analysis of food samples has the potential to increase our chemical understanding of these processes by detecting a broad spectrum of chemicals. We performed a time-based analysis of the chemical changes in foods during common preparations, such as fermentation, brewing, and ripening, using untargeted mass spectrometry and molecular networking. The data analysis workflow presented implements an approach to study changes in food chemistry that can reveal global alterations in chemical profiles, identify changes in abundance, as well as identify specific chemicals and their transformation products. The data generated in this study are publicly available, enabling the replication and re-analysis of these data in isolation, and serve as a baseline dataset for future investigations.

Older adults catch up to younger adults on a learning and memory task that involves collaborative social interaction

Learning and memory abilities tend to decline as people age. The current study examines the question of whether a learning situation that emphasises collaborative social interaction might help older persons overcome age-related learning and memory changes and thus perform similarly to younger persons. Younger and Older participants (n = 34 in each group) completed the Barrier Task (BT), a game-like social interaction where partners work together to develop labels for a set of abstract tangrams. Participants were also administered standard clinical neuropsychological measures of memory, on which the Older group showed expected inferiority to the Younger group. On the BT, the Older group performed less well than the Younger group early on, but as the task progressed, the performance of the Older group caught up and became statistically indistinguishable from that of the Younger group. These results can be taken to suggest that a learning milieu characterised by collaborative social interaction can attenuate some of the typical memory disadvantages associated with being older.

Intramural pregnancy in a cesarean section scar. A case report

BACKGROUND

More than 95% of ectopic pregnancies involve the fallopian tubes. Other sites of ectopic implantation are less frequent, and a pregnancy in the myometrium is extremely rare.

CASE

An intramural pregnancy occurred in the uterine scar in a woman who had had two previous cesarean sections. It encompassed the full thickness of the uterine wall, with chorionic villi invading the myometrium. Following conservative surgical treatment, the patient successfully carried the twin pregnancy to term.

CONCLUSION

Meticulous examination of all the pelvic organs is important when searching for an ectopic pregnancy.