Effect of cryopreservation on CD4+ T cell subsets in foreskin tissue.

Voluntary medical male circumcision (VMMC) reduces HIV acquisition by at least 60%, but the determinants of HIV susceptibility in foreskin tissues are incompletely understood. Flow cytometry is a powerful tool that helps us understand tissue immune defenses in mucosal tissue like the inner foreskin, but foreskin flow cytometry has only been validated using fresh tissue samples. This restricts immune analyses to timepoints immediately after surgical acquisition and hinders research in this area. We compared fresh analysis with whole tissue cryopreservation and later thawing and digestion to analyze CD4+ T cell populations relevant to HIV susceptibility (CCR5, CD25, CD127, CCR4, CXCR3, CCR6, CCR10, HLA-DR, and CD38). Eight foreskin samples from HIV-negative males aged >18 years were collected after VMMC. For each sample, half the foreskin was immediately cryopreserved for later digestion and flow cytometry analysis, while the remaining tissues were analyzed fresh. We demonstrate no significant impact of cryopreservation on CD4+ T cell expression of CD25, CCR4, CCR6, HLA-DR, CCR10, or CD127. Although expression levels of CCR5, CD38, and CXCR3 were increased after cryopreservation, the relative ranking of participants was retained. In conclusion, cryopreserved foreskin tissues may be suitable for subsequent digestion and flow cytometry phenotyping of HIV-susceptible T cell populations.

Comparison between a deep-learning and a pixel-based approach for the automated quantification of HIV target cells in foreskin tissue.

The availability of target cells expressing the HIV receptors CD4 and CCR5 in genital tissue is a critical determinant of HIV susceptibility during sexual transmission. Quantification of immune cells in genital tissue is therefore an important outcome for studies on HIV susceptibility and prevention. Immunofluorescence microscopy allows for precise visualization of immune cells in mucosal tissues; however, this technique is limited in clinical studies by the lack of an accurate, unbiased, high-throughput image analysis method. Current pixel-based thresholding methods for cell counting struggle in tissue regions with high cell density and autofluorescence, both of which are common features in genital tissue. We describe a deep-learning approach using the publicly available StarDist method to count cells in immunofluorescence microscopy images of foreskin stained for nuclei, CD3, CD4, and CCR5. The accuracy of the model was comparable to manual counting (gold standard) and surpassed the capability of a previously described pixel-based cell counting method. We show that the performance of our deep-learning model is robust in tissue regions with high cell density and high autofluorescence. Moreover, we show that this deep-learning analysis method is both easy to implement and to adapt for the identification of other cell types in genital mucosal tissue.

Insertive condom-protected and condomless vaginal sex both have a profound impact on the penile immune correlates of HIV susceptibility.

The penis is the primary site of HIV acquisition in heterosexual men. Elevated penile inflammatory cytokines increase sexual acquisition risk, and topically applied cytokines enhance foreskin HIV susceptibility in an explant model. However, the impact of penile-vaginal sex on these immune parameters is undefined. Heterosexual couples were recruited to the Sex, Couples and Science (SECS) Study, with the collection of penile swabs, semen, cervico-vaginal secretions, and blood after a period of abstinence, and repeated sampling up to 72 hours after either condomless (n = 30) or condom-protected (n = 8) penile-vaginal sex. Soluble immune parameters were quantified by multiplex immunoassay. Co-primary immune endpoints were penile levels of IL-8 and MIG, cytokines previously linked to penile HIV acquisition. One hour after sex there were dramatic increases in penile IL-8 and MIG levels, regardless of condom use, with a gradual return to baseline by 72 hours; similar patterns were observed for other chemoattractant chemokines. Penile cytokine changes were similar in circumcised and uncircumcised men, and repeated measures ANOVA and ANCOVA models demonstrated that the degree of change after condomless sex was explained by cytokine levels in their partners' cervico-vaginal secretions. This may have important implications for the biology of penile HIV acquisition.

Evaluating protein binding specificity of titanium surfaces through mass spectrometry-based proteomics.

OBJECTIVES: To evaluate whether surface characteristics of different titanium modifications may influence the composition of the salivary pellicle on each surface by analyzing the salivary proteome through mass spectrometry-based proteomics. MATERIALS AND METHODS: Titanium discs with three surfaces modifications (PT (machined titanium), SLA (sandblasted/large-grit/acid-etched), and SLActive (modified SLA)) were characterized (topography, chemistry, and energy) prior to being exposed to saliva for 2 h to form a protein pellicle. The resultant protein layer was retrieved and analyzed through mass spectrometry (nLC-ESI-MS/MS) to examine the surface specificity for protein binding, while the proteome profile of each surface was classified. RESULTS: The proteome analysis showed that the salivary pellicle composition was more complex on rough surfaces (SLA and SLActive). Although variability in protein composition was observed between surfaces, most proteins were detected on more than one surface, indicating a limited surface specificity for protein binding. Additionally, the salivary pellicle formed on the SLActive presented a larger number of proteins associated with immune response, biological adhesion, and biomineralization. CONCLUSIONS: Although topography, chemistry, and energy differed between the surfaces, they were not determinant to produce a salivary pellicle with high surface specificity. Also, we showed that several salivary proteins adsorbed on Ti surfaces are involved in biological functions important to the biointegration. CLINICAL RELEVANCE: This study sheds light on the necessity for the development of bioactive surfaces that favors the formation of a specific protein layer that can enhance tissue response to assist the biointegration of dental implants.

Revealing the Amylase Interactome in Whole Saliva Using Proteomic Approaches.

Understanding proteins present in saliva and their function when isolated is not enough to describe their real role in the mouth. Due to protein-protein interactions, structural changes may occur in macromolecules leading to functional modulation or modification. Besides amylase's function in carbohydrate breakdown, amylase can delay proteolytic degradation of protein partners (e.g., histatin 1) when complexed. Due to its biochemical characteristics and high abundance in saliva, amylase probably interacts with several proteins acting as a biological carrier. This study focused on identifying interactions between amylase and other proteins found in whole saliva (WS) using proteomic approaches. Affinity chromatography was used, followed by gel electrophoresis methods, sodium dodecyl sulfate and native, tryptic in-solution and in-gel digestion, and mass spectrometry. We identified 66 proteins that interact with amylase in WS. Characterization of the identified proteins suggests that acidic (pI < 6.8) and low molecular weight (MW < 56 kDa) proteins have preference during amylase complex formation. Most of the identified proteins present biological functions related to host protection. A new protein-amylase network was constructed using the STRING database. Further studies are necessary to investigate individualities of the identified amylase interactors. These observations open avenues for more comprehensive studies on not yet fully characterized biological function of amylase.

Biomaterial surface proteomic signature determines interaction with epithelial cells.

Cells interact with biomaterials indirectly through extracellular matrix (ECM) proteins adsorbed onto their surface. Accordingly, it could be hypothesized that the surface proteomic signature of a biomaterial might determine its interaction with cells. Here, we present a surface proteomic approach to test this hypothesis in the specific case of biomaterial-epithelial cell interactions. In particular, we determined the surface proteomic signature of different biomaterials exposed to the ECM of epithelial cells (basal lamina). We revealed that the biomaterial surface chemistry determines the surface proteomic profile, and subsequently the interaction with epithelial cells. In addition, we found that biomaterials with surface chemistries closer to that of percutaneous tissues, such as aminated PMMA and aminated PDLLA, promoted higher selective adsorption of key basal lamina proteins (laminins, nidogen-1) and subsequently improved their interactions with epithelial cells. These findings suggest that mimicking the surface chemistry of natural percutaneous tissues can improve biomaterial-epithelial integration, and thus provide a rationale for the design of improved biomaterial surfaces for skin regeneration and percutaneous medical devices. STATEMENT OF SIGNIFICANCE: Failure of most biomaterials originates from the inability to predict and control the influence of their surface properties on biological phenomena, particularly protein adsorption, and cellular behaviour, which subsequently results in unfavourable host response. Here, we introduce a surface-proteomic screening approach using a label-free mass spectrometry technique to decipher the adsorption profile of extracellular matrix (ECM) proteins on different biomaterials, and correlate it with cellular behaviour. We demonstrated that the way a biomaterial selectively interacts with specific ECM proteins of a given tissue seems to determine the interactions between the cells of that tissue and biomaterials. Accordingly, this approach can potentially revolutionize the screening methods for investigating the protein-cell-biomaterial interactions and pave the way for deeper understanding of these interactions.

Prophage induction in lysogenic Aggregatibacter actinomycetemcomitans cells co-cultured with human gingival fibroblasts, and its effect on leukotoxin release.

Lysogeny is common among strains of the periodontal pathogen Aggregatibacter actinomycetemcomitans. Since lysogenic induction is known to result in the increased synthesis and release of bacterial toxins from lysogens, it would be important to elucidate the conditions under which induction of these bacteria may occur. Co-cultures of A. actinomycetemcomitans strains (either lysogenic or non-lysogenic) and human cells (either gingival fibroblasts or pharyngeal epithelial cells) were prepared. Following incubation, bacteriophage titers of up to 6.2 × 10(7) pfu/ml were detected in the cell-free, spent culture media from the co-cultures of the lysogenic A. actinomycetemcomitans strains and the fibroblasts. Little (maximum of 2 × 10(0) pfu/ml) or no titers of phage could be detected in the mono-cultures of the lysogenic A. actinomycetemcomitans strains alone. In contrast, no phage were detectable in the cell-free spent culture media of the lysogens cocultured with the epithelial cells. Futhermore, co-culture of the A. actinomycetemcomitans lysogens with the fibroblasts resulted in enhanced release of the A. actinomycetemcomitans leukotoxin into the culture medium, in comparison with the spent culture media from mono-cultures of the lysogens alone. These results are consistent with the concept that interaction with fibroblasts may mediate prophage induction in lysogenic strains of A. actinomycetemcomitans, and that leukotoxin release is greatly augmented following induction of the lysogens.

Prevalence of potential bacterial respiratory pathogens in the oral cavity of hospitalised individuals.

OBJECTIVE: To assess the prevalence of oral colonisation by bacterial respiratory pathogens in hospitalised patients. METHODS: Thirty patients undergoing myocardium revascularisation surgery were evaluated. At baseline (pre-operative phase), full-mouth clinical periodontal assessment was performed. Saliva and biofilm samples were obtained from subjects at baseline and at the post-operative phase, after orotracheal extubation. DNA was extracted from samples and species of Acinetobacter, Pseudomonas, Staphylococcus aureus and Dialister pneumosintes were detected by PCR or culture (for staphylococci isolates). RESULTS: Most of the subjects were males, with history of hypertension and smoking. Thirteen were edentulous (ED) and 17 were dentate (DE), with moderate chronic periodontitis. The most prevalent bacteria in saliva were Staphylococcus spp. (85.7%), Pseudomonas spp. (83.8%), and Acinetobacter spp. (53.3%). There was a trend for D. pneumosintes to be more frequently detected in DE (43.7%) than ED (11.5%) patients. In plaque samples, DE with >14 teeth showed a higher prevalence of Pseudomonas spp. (100%) than individuals with < or =14 teeth (69.1%; p=0.048). Conversely, P. aeruginosa was more prevalent in subjects with fewer teeth (35.5%) than with >14 teeth (5.7%; p=0.037). All staphylococci isolates were coagulase-negative, and about 11% were positive for the mecA gene. These mecA-positive isolates showed a tendency to increase in all samples, whereas P. aeruginosa reduced after surgery. A strong correlation between the presence of Acinetobacter spp. and Pseudomonas spp. was observed (rho=0.886, p<0.05). CONCLUSIONS: The oral cavity of hospitalised patients harbours high frequencies of bacterial respiratory pathogens, supporting its potential role as a reservoir for these species.