Does Menstrual Health and Endometriosis Education Affect Knowledge Among Middle and Secondary School Students? A Cluster-Randomised Controlled Trial.

OBJECTIVES: To evaluate whether endometriosis and menstrual health education improves knowledge and attitudes among adolescents and is acceptable. METHODS: We conducted a cluster-randomised controlled trial in a Canadian school district. Eligible classes were grades 8-12, co-educational, and English. Classes were randomly assigned either to a 60-minute virtual menstrual health and endometriosis education program before (intervention) or after (waitlist control) primary data collection. The primary outcome was change in endometriosis knowledge from baseline to follow-up (∼4 weeks later, 6-item questionnaire). Secondary outcomes were changes in confidence in endometriosis knowledge, prioritisation of menstrual health knowledge, and comfort in discussing menstrual health, as well as intervention acceptability. The sexual health educator and statistician were masked. RESULTS: In April and May 2021, 2 intervention classes and 2 control classes completed the study. In total, 71 students enrolled, and 48 were present on both baseline and follow-up days. Mean age was 15.7 ± 1.6 years, 55% identified as non-White ethnicities, and 53% were female. The knowledge score increased by 1.86 points in the intervention classes compared with 0.30 points in the control classes, with an estimated mean difference of 1.56 (95% CI 1.12-2.00). The intervention classes showed increased confidence in endometriosis knowledge, prioritisation of menstrual health knowledge, and comfort in discussing menstrual health, compared to the control classes. The mean acceptability index was 80 (SD = 10) in the intervention classes and 70 (SD = 20) in the control classes. CONCLUSIONS: A brief menstrual health and endometriosis education program improved knowledge and attitudes among adolescents, who considered the program acceptable.

Correlating transcription and protein expression profiles of immune biomarkers following lipopolysaccharide exposure in lung epithelial cells.

Universal and early recognition of pathogens occurs through recognition of evolutionarily conserved pathogen associated molecular patterns (PAMPs) by innate immune receptors and the consequent secretion of cytokines and chemokines. The intrinsic complexity of innate immune signaling and associated signal transduction challenges our ability to obtain physiologically relevant, reproducible and accurate data from experimental systems. One of the reasons for the discrepancy in observed data is the choice of measurement strategy. Immune signaling is regulated by the interplay between pathogen-derived molecules with host cells resulting in cellular expression changes. However, these cellular processes are often studied by the independent assessment of either the transcriptome or the proteome. Correlation between transcription and protein analysis is lacking in a variety of studies. In order to methodically evaluate the correlation between transcription and protein expression profiles associated with innate immune signaling, we measured cytokine and chemokine levels following exposure of human cells to the PAMP lipopolysaccharide (LPS) from the Gram-negative pathogen Pseudomonas aeruginosa. Expression of 84 messenger RNA (mRNA) transcripts and 69 proteins, including 35 overlapping targets, were measured in human lung epithelial cells. We evaluated 50 biological replicates to determine reproducibility of outcomes. Following pairwise normalization, 16 mRNA transcripts and 6 proteins were significantly upregulated following LPS exposure, while only five (CCL2, CSF3, CXCL5, CXCL8/IL8, and IL6) were upregulated in both transcriptomic and proteomic analysis. This lack of correlation between transcription and protein expression data may contribute to the discrepancy in the immune profiles reported in various studies. The use of multiomic assessments to achieve a systems-level understanding of immune signaling processes can result in the identification of host biomarker profiles for a variety of infectious diseases and facilitate countermeasure design and development.

mRNA vaccine platforms to prevent bacterial infections.

Bacterial infections are an urgent public health priority. The application of mRNA vaccine technology to prevent bacterial infections is a promising therapeutic strategy undergoing active development. This article discusses recent advances and limitations of mRNA vaccines to prevent bacterial diseases and provides perspectives on future research directions.

Women's Self-Management of Dyspareunia Associated With Endometriosis: A Qualitative Study.

Given the limitations of medical treatment for endometriosis, self-management is a critical component of symptom management, and providing patients with information and education is a necessary complement to medical interventions. Though 50 to 70% of people with endometriosis experience dyspareunia (painful sex), there is limited knowledge of self-management specific to painful sex. A comprehensive understanding of the self-management strategies used is foundational to developing supportive care interventions that help ease pain and related psychosocial sequelae. The objective was to describe people's experiences of navigating endometriosis-associated painful sex and developing self-management strategies. We analyzed interview data from 20 women using constant comparative and thematic analysis techniques, guided by qualitative interpretive description methodology. Participants (age range 18-44 years) all identified as women and were predominately Caucasian (90%) and heterosexual (80%). Throughout their lives, the women appeared to gradually develop self-management strategies while navigating painful sexual experiences. This complex journey encompassed four phases: 1) viewing painful sex as normal, 2) experiencing evolving thoughts and emotions, 3) coming to understand painful sex and seeking help, and 4) learning strategies to navigate painful sex, these include preparing mentally and physically for sex and communicating with intimate partner(s). Women in this study developed self-management strategies over time through engagement with others who understood their challenges. Future research is warranted regarding initiatives to counter the normalization of painful sex, develop and disseminate patient-facing information, provide education specific to dyspareunia, improve access to multidisciplinary care, facilitate social connections and support, and enhance communication with intimate partners. PERSPECTIVE: In this paper, we report on the experiences of women with endometriosis-associated painful sex and their self-management strategies. Clinicians may be interested in a qualitative exploration of endometriosis-associated painful sex as they seek to further understand their patient's experiences and what strategies can be implemented to alleviate dyspareunia. DATA AVAILABILITY: The data sets generated during and/or analyzed during the current study are not publicly available as participants did not consent to making their data publicly available but are available from the corresponding author on reasonable request.

Web-Based Digital Storytelling for Endometriosis and Pain: Qualitative Pilot Study.

BACKGROUND: Endometriosis is a complex chronic disease characterized by pain, including painful sex, that can contribute to considerable sexual function, self-esteem, and relationship challenges. Digital storytelling is an arts-based, participatory methodology wherein individuals create and share their illness experiences in detailing their lived experiences. OBJECTIVE: The study objective was to pilot-test a web-based digital storytelling workshop focused on endometriosis to understand storytellers' experiences of workshop participation. We assessed the feasibility of story cocreation and sharing, including the emotional impact of workshop participation, the acceptability of the workshop for the subject matter, and the storytellers' willingness to share their stories with broader audiences as a method for knowledge translation. METHODS: This study used a community-based participatory methodology supplemented with patient-oriented research and integrated knowledge translation. Study participants, referred to as storytellers, cocreated 3- to 5-minute individual digital stories about their lived experiences of endometriosis during a web-based workshop (comprising five 2-hour sessions over 6 weeks) facilitated by The Center for Digital Storytelling. Data were collected through participant observations at the workshop, storyteller weekly reflective journals, and an end-of-workshop focus group interview with storytellers. These data were analyzed using a qualitative interpretive description approach. RESULTS: A total of 5 women and 1 nonbinary storyteller aged 19 to 39 years who had experienced endometriosis for 4 to 22 years participated in the study. We characterized storytelling workshop participation and the acceptability of story cocreation by describing participants' experiences of opportunity, commitment, and connection; complex emotions that were healing; and a desire to share. Feasibility was demonstrated through 100% engagement in the workshops. All 6 storytellers reported feeling empowered by publicly sharing their cocreated digital stories through social media and the Sex, Pain & Endometriosis website. CONCLUSIONS: Despite the complexities of the story-building process, the workshop and the cocreation and sharing of digital stories were feasible. The storytellers found that this process allowed for emotional healing and personal empowerment by offering a unique way to talk about painful sex, which also facilitated a connection among those in the workshop. The use of digital storytelling as a knowledge translation tool shows promise, and this approach also has potential as a therapeutic intervention.

Inferring Pathways of Oxidative Folding from Prefolding Free Energy Landscapes of Disulfide-Rich Toxins.

Short, cysteine-rich peptides can exist in stable or metastable structural ensembles due to the number of possible patterns of formation of their disulfide bonds. One interesting subset of this peptide group is the conotoxins, which are produced by aquatic snails in the family Conidae. The µ conotoxins, which are antagonists and blockers of the voltage-gated sodium channel, exist in a folding spectrum: on one end of the spectrum are more hirudin-like folders, which form disulfide bonds and then reshuffle them, leading to an ensemble of kinetically trapped isomers, and on the other end are more BPTI-like folders, which form the native disulfide bonds one by one in a particular order, leading to a preponderance of conformations existing in a single stable state. In this Article, we employ the composite diffusion map approach to study the unified free energy surface of prefolding µ-conotoxin equilibrium. We identify the two most important nonlinear collective modes of the unified folding landscape and demonstrate that in the absence of their disulfides, the conotoxins can be thought of as largely disordered polymers. A small increase in the number of hydrophobic residues in the protein shifts the free energy landscape toward hydrophobically collapsed coil conformations responsible for cysteine proximity in hirudin-like folders, compared to semiextended coil conformations with more distal cysteines in BPTI-like folders. Overall, this work sheds important light on the folding processes and free energy landscapes of cysteine-rich peptides and demonstrates the extent to which sequence and length contribute to these landscapes.

Expanding RNAi therapeutics to extrahepatic tissues with lipophilic conjugates.

Therapeutics based on short interfering RNAs (siRNAs) delivered to hepatocytes have been approved, but new delivery solutions are needed to target additional organs. Here we show that conjugation of 2'-O-hexadecyl (C16) to siRNAs enables safe, potent and durable silencing in the central nervous system (CNS), eye and lung in rodents and non-human primates with broad cell type specificity. We show that intrathecally or intracerebroventricularly delivered C16-siRNAs were active across CNS regions and cell types, with sustained RNA interference (RNAi) activity for at least 3 months. Similarly, intravitreal administration to the eye or intranasal administration to the lung resulted in a potent and durable knockdown. The preclinical efficacy of an siRNA targeting the amyloid precursor protein was evaluated through intracerebroventricular dosing in a mouse model of Alzheimer's disease, resulting in amelioration of physiological and behavioral deficits. Altogether, C16 conjugation of siRNAs has the potential for safe therapeutic silencing of target genes outside the liver with infrequent dosing.

Lipoprotein capture ELISA method for the sensitive detection of amphiphilic biomarkers.

Enzyme-linked immunosorbent assays (ELISAs) are widely employed for the detection of protein targets due to their ease of use, sensitivity, and potential for high-throughput analyses. However, the use of ELISAs to detect non-protein targets such as lipids and amphiphiles is complicated by the physical properties of these molecules, which affects their association with functional surfaces and recognition ligands. Here, we developed a unique lipoprotein capture ELISA in which the natural association between lipoproteins and amphiphilic molecules facilitates detection of the target biomarker in a physiologically relevant conformation. An assay to detect the glycolipid lipoarabinomannan (LAM), a cell membrane component and virulence factor associated with Mycobacterial infections, was developed as a proof of concept.

Fast Evaluation of Viral Emerging Risks (FEVER): A computational tool for biosurveillance, diagnostics, and mutation typing of emerging viral pathogens.

Viral pathogens can rapidly evolve, adapt to novel hosts, and evade human immunity. The early detection of emerging viral pathogens through biosurveillance coupled with rapid and accurate diagnostics are required to mitigate global pandemics. However, RNA viruses can mutate rapidly, hampering biosurveillance and diagnostic efforts. Here, we present a novel computational approach called FEVER (Fast Evaluation of Viral Emerging Risks) to design assays that simultaneously accomplish: 1) broad-coverage biosurveillance of an entire group of viruses, 2) accurate diagnosis of an outbreak strain, and 3) mutation typing to detect variants of public health importance. We demonstrate the application of FEVER to generate assays to simultaneously 1) detect sarbecoviruses for biosurveillance; 2) diagnose infections specifically caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); and 3) perform rapid mutation typing of the D614G SARS-CoV-2 spike variant associated with increased pathogen transmissibility. These FEVER assays had a high in silico recall (predicted positive) up to 99.7% of 525,708 SARS-CoV-2 sequences analyzed and displayed sensitivities and specificities as high as 92.4% and 100% respectively when validated in 100 clinical samples. The D614G SARS-CoV-2 spike mutation PCR test was able to identify the single nucleotide identity at position 23,403 in the viral genome of 96.6% SARS-CoV-2 positive samples without the need for sequencing. This study demonstrates the utility of FEVER to design assays for biosurveillance, diagnostics, and mutation typing to rapidly detect, track, and mitigate future outbreaks and pandemics caused by emerging viruses.

Conditions for Handling and Optimal Storage of Mycolactone.

The successful isolation of mycolactone in a laboratory or from a clinical sample relies on proper handling and storage of the toxin. Mycolactone is a light-sensitive and an amphiphilic toxin produced by Mycobacterium ulcerans. The biochemistry of the toxin makes it unstable in aqueous matrices such as blood, which causes it to self-aggregate or present in complex with carrier molecules. This biochemistry also impacts the use of the toxin in vitro, in that it tends to aggregate and stick to substrates in an aqueous environment, which alters its physiological presentation and limits its availability in a sample. Glass materials (i.e., tubes, vials, syringes, plates) should be used when possible to avoid loss of mycolactone sticking to plastic surfaces. Dark containers such as amber vials or aluminum-foil wrapped tubes should be used to avoid photodegradation of the toxin upon exposure to light. Sample storage in organic solvents is ideal for mycolactone stability and recovery; however, this is not always amenable as multiple diagnostic assays might be performed on a single sample (such as PCR or ELISA). In these cases, samples can be stored in an aqueous solution containing a small amount of detergent to enhance recovery of the toxin, and in order to avoid aggregation. Therefore, the downstream manipulations should be carefully considered prior to sample collection and storage. Here we present considerations for the optimal handling and storage of mycolactone in order to obtain quality yield of the toxin for various research and diagnostic applications.

Optical Biosensor Platforms Display Varying Sensitivity for the Direct Detection of Influenza RNA.

Detection methods that do not require nucleic acid amplification are advantageous for viral diagnostics due to their rapid results. These platforms could provide information for both accurate diagnoses and pandemic surveillance. Influenza virus is prone to pandemic-inducing genetic mutations, so there is a need to apply these detection platforms to influenza diagnostics. Here, we analyzed the Fast Evaluation of Viral Emerging Risks (FEVER) pipeline on ultrasensitive detection platforms, including a waveguide-based optical biosensor and a flow cytometry bead-based assay. The pipeline was also evaluated in silico for sequence coverage in comparison to the U.S. Centers for Disease Control and Prevention's (CDC) influenza A and B diagnostic assays. The influenza FEVER probe design had a higher tolerance for mismatched bases than the CDC's probes, and the FEVER probes altogether had a higher detection rate for influenza isolate sequences from GenBank. When formatted for use as molecular beacons, the FEVER probes detected influenza RNA as low as 50 nM on the waveguide-based optical biosensor and 1 nM on the flow cytometer. In addition to molecular beacons, which have an inherently high background signal we also developed an exonuclease selection method that could detect 500 pM of RNA. The combination of high-coverage probes developed using the FEVER pipeline coupled with ultrasensitive optical biosensors is a promising approach for future influenza diagnostic and biosurveillance applications.

Macrolides: From Toxins to Therapeutics.

Macrolides are a diverse class of hydrophobic compounds characterized by a macrocyclic lactone ring and distinguished by variable side chains/groups. Some of the most well characterized macrolides are toxins produced by marine bacteria, sea sponges, and other species. Many marine macrolide toxins act as biomimetic molecules to natural actin-binding proteins, affecting actin polymerization, while other toxins act on different cytoskeletal components. The disruption of natural cytoskeletal processes affects cell motility and cytokinesis, and can result in cellular death. While many macrolides are toxic in nature, others have been shown to display therapeutic properties. Indeed, some of the most well known antibiotic compounds, including erythromycin, are macrolides. In addition to antibiotic properties, macrolides have been shown to display antiviral, antiparasitic, antifungal, and immunosuppressive actions. Here, we review each functional class of macrolides for their common structures, mechanisms of action, pharmacology, and human cellular targets.

Nucleic Acid-Based Sensing Techniques for Diagnostics and Surveillance of Influenza.

Influenza virus poses a threat to global health by causing seasonal outbreaks as well as three pandemics in the 20th century. In humans, disease is primarily caused by influenza A and B viruses, while influenza C virus causes mild disease mostly in children. Influenza D is an emerging virus found in cattle and pigs. To mitigate the morbidity and mortality associated with influenza, rapid and accurate diagnostic tests need to be deployed. However, the high genetic diversity displayed by influenza viruses presents a challenge to the development of a robust diagnostic test. Nucleic acid-based tests are more accurate than rapid antigen tests for influenza and are therefore better candidates to be used in both diagnostic and surveillance applications. Here, we review various nucleic acid-based techniques that have been applied towards the detection of influenza viruses in order to evaluate their utility as both diagnostic and surveillance tools. We discuss both traditional as well as novel methods to detect influenza viruses by covering techniques that require nucleic acid amplification or direct detection of viral RNA as well as comparing advantages and limitations for each method. There has been substantial progress in the development of nucleic acid-based sensing techniques for the detection of influenza virus. However, there is still an urgent need for a rapid and reliable influenza diagnostic test that can be used at point-of-care in order to enhance responsiveness to both seasonal and pandemic influenza outbreaks.

A centrifugal microfluidic cross-flow filtration platform to separate serum from whole blood for the detection of amphiphilic biomarkers.

The separation of biomarkers from blood is straightforward in most molecular biology laboratories. However, separation in resource-limited settings, allowing for the successful removal of biomarkers for diagnostic applications, is not always possible. The situation is further complicated by the need to separate hydrophobic signatures such as lipids from blood. Herein, we present a microfluidic device capable of centrifugal separation of serum from blood at the point of need with a system that is compatible with biomarkers that are both hydrophilic and hydrophobic. The cross-flow filtration device separates serum from blood as efficiently as traditional methods and retains amphiphilic biomarkers in serum for detection.

Formulation of stabilizer-free, nontoxic PLGA and elastin-PLGA nanoparticle delivery systems.

Biocompatible nanoparticles composed of poly(lactic-co-glycolic acid) (PLGA) are used as drug and vaccine delivery systems because of their tunability in size and sustained release of cargo molecules. While the use of toxic stabilizers such as polyvinyl alcohol (PVA) limit the utility of PLGA, stabilizer-free PLGA nanoparticles are rarely used because they can be challenging to prepare. Here, we developed a tunable, stabilizer-free PLGA nanoparticle formulation capable of encapsulating plasmid DNA and demonstrated the formation of an elastin-like polymer PLGA hybrid nanoparticle with exceptional stability and biocompatibility. A suite of PLGAs were fabricated using solvent evaporation methods and assessed for particle size and stability in water. We find that under physiological conditions (PBS at 37˚C), the most stable PLGA formulation (P4) was found to contain a greater L:G ratio (65:35), lower MW, and carboxyl terminus. Subsequent experiments determined P4 nanoparticles were as stable as those made with PVA, yet significantly less cytotoxic. Variation in particle size was achieved through altering PLGA stoichiometry while maintaining the ability to encapsulate DNA and were modified with elastin-like polymers for increased immune tolerance. Overall, a useful method for tunable, stabilizer-free PLGA nanoparticle formulation was developed for use in drug and vaccine delivery, and immune targeting.

Comparative genomic and phenotypic characterization of invasive non-typhoidal Salmonella isolates from Siaya, Kenya.

Non-typhoidal Salmonella (NTS) is a major global health concern that often causes bloodstream infections in areas of the world affected by malnutrition and comorbidities such as HIV and malaria. Developing a strategy to control the emergence and spread of highly invasive and antimicrobial resistant NTS isolates requires a comprehensive analysis of epidemiological factors and molecular pathogenesis. Here, we characterize 11 NTS isolates that caused bloodstream infections in pediatric patients in Siaya, Kenya from 2003-2010. Nine isolates were identified as S. Typhimurium sequence type 313 while the other two were S. Enteritidis. Comprehensive genotypic and phenotypic analyses were performed to compare these isolates to those previously identified in sub-Saharan Africa. We identified a S. Typhimurium isolate referred to as UGA14 that displayed novel plasmid, pseudogene and resistance features as compared to other isolates reported from Africa. Notably, UGA14 is able to ferment both lactose and sucrose due to the acquisition of insertion elements on the pKST313 plasmid. These findings show for the first time the co-evolution of plasmid-mediated lactose and sucrose metabolism along with cephalosporin resistance in NTS further elucidating the evolutionary mechanisms of invasive NTS phenotypes. These results further support the use of combined genomic and phenotypic approaches to detect and characterize atypical NTS isolates in order to advance biosurveillance efforts that inform countermeasures aimed at controlling invasive and antimicrobial resistant NTS.

Sexual abuse disclosure among incarcerated female adolescents and young adults.

BACKGROUND: Childhood sexual abuse (CSA) is over-represented among incarcerated girls and women. In order to inform effective methods of response, they represent a critical group for better understanding disclosure processes. OBJECTIVE: The purpose of the current study was to assess the CSA and CSA disclosure experiences of incarcerated female adolescents and young adults. PARTICIPANTS AND SETTING: Participants were 94 serious female offenders, ages 15-24 (M = 18.72, SD = 1.94), incarcerated in a secure juvenile facility. METHOD: In one-on-one interviews, participants answered questions about abuse characteristics, whether they had previously disclosed, to whom they had disclosed and after how long, and reasons for prior disclosure or nondisclosure. RESULTS: Over half of the sample (51.8%,n = 44) reported experiencing CSA. Most individuals who reported a CSA history had previously disclosed (79.5%, n = 35), with approximately equal proportions claiming to disclose within one week (40%) and after a year or years (45.8%). However, 20.5% (n = 9) claimed that our study interview was their first disclosure. Several reasons for their disclosure patterns were endorsed: Most commonly feelings of shame or embarrassment prevented disclosure (56%) and no longer wanting to keep the abuse a secret motivated disclosure (44%). CONCLUSIONS: Although many incarcerated girls and women share a history of CSA, our results indicate that the abuse and disclosure experiences of incarcerated females are diverse. Understanding their disclosure patterns can inform mental health services, rehabilitation, and professional interviewing strategies that may facilitate disclosure (e.g., forensic interviews, facility intake interviews).

Vaccine Advances against Venezuelan, Eastern, and Western Equine Encephalitis Viruses.

Vaccinations are a crucial intervention in combating infectious diseases. The three neurotropic Alphaviruses, Eastern (EEEV), Venezuelan (VEEV), and Western (WEEV) equine encephalitis viruses, are pathogens of interest for animal health, public health, and biological defense. In both equines and humans, these viruses can cause febrile illness that may progress to encephalitis. Currently, there are no licensed treatments or vaccines available for these viruses in humans. Experimental vaccines have shown variable efficacy and may cause severe adverse effects. Here, we outline recent strategies used to generate vaccines against EEEV, VEEV, and WEEV with an emphasis on virus-vectored and plasmid DNA delivery. Despite candidate vaccines protecting against one of the three viruses, few studies have demonstrated an effective trivalent vaccine. We evaluated the potential of published vaccines to generate cross-reactive protective responses by comparing DNA vaccine sequences to a set of EEEV, VEEV, and WEEV genomes and determining the vaccine coverages of potential epitopes. Finally, we discuss future directions in the development of vaccines to combat EEEV, VEEV, and WEEV.

Measuring Adverse Childhood Experiences: Comparing Individual, Composite, Score-based and Latent Profile-based Scoring Schemas Among Gay, Bisexual, and Other Men Who Have Sex with Men.

Adverse childhood experiences (ACEs; e.g., neglect, sexual abuse) among gay, bisexual, and other men who have sex with men (GBM) may not occur in isolation, but may be connected and occur in clusters. Most studies have measured ACEs individually, hierarchically, additively, or in a binary fashion (presence or absence of ACEs), rather than treating them as connected and clustered. This study examined these competing approaches of scoring ACEs and their relative power at predicting health outcomes. We examined abuse (sexual, physical, and emotional) and neglect (physical and emotional) experiences among a non-random sample of 470 Toronto GBM using the Childhood Trauma Questionnaire Short Form subscales. We compared five scoring schemas: (1) five individual scores for each form of maltreatment; (2) a composite score summing all of the maltreatment scores; (3) a hierarchical regression model with sexual abuse entered first then followed by physical abuse, emotional abuse, physical neglect, and emotional neglect; (4) a severity-based categorization; and (5) a latent profile-based categorization. Experiences of abuse and neglect were not uncommon (22-33%) and some participants experienced multiple forms of abuse and neglect (r = .33-.65, df = 464-467; p < .001; shared variance, r2 = 11-43%). Results show the dose-response effects of ACEs and highlight the importance of examining ACEs in clusters rather than individually. Latent profile analysis identified GBM who experienced multiple and frequent ACEs, and also identified the types of ACEs they experienced: crucial information that was obscured in score-based or severity-based approaches.