A longitudinal study of naloxone opioid overdose awareness and reversal training for first-year medical students: specific elements require reinforcement.

BACKGROUND: The opioid epidemic is a progressively worsening public health crisis that continues to impact healthcare system strategies such as overdose reversal and destigmatization. Even among healthcare professionals, there remains a lack of confidence in naloxone administration and a prevalence of stigma. While training can play a major impact in reducing these shortcomings, the long-term effectiveness has yet to be characterized in training healthcare professionals. This study examined the long-term retention of opioid overdose awareness and reversal training (OOART) by evaluating performance at two-time intervals, immediately post-training and at a 3-month follow-up. METHODS: Voluntary training was offered to first-year (M1) medical students at the Drexel University College of Medicine in 2021. At this training, 118 students completed training, 95 completed the post-training survey, and 42 completed the 3-month follow-up. RESULTS: Opioid reversal knowledge questions assessed significantly increased scores post-training and at the 3-month follow-up. In three of the attitude questions, scores were improved at both follow-up timepoints. In addition, three attitude questions indicating a participant's confidence to respond to an opioid overdose situation increased directly after the training, but regressed at the 3-month follow-up. The remaining questions did not show any statistical difference across the survey intervals. CONCLUSIONS: This study establishes that while OOART provides participants with the knowledge of how to respond to an opioid overdose, the retention of this knowledge at a 3-month interval is reduced. The results were mixed for longitudinal assessment of participant's attitudes toward people with opioid use disorder. Some positive increases in attitudes were retained at the 3-month interval, while others trended back toward pre-training levels. These results support the effectiveness of the training but also provide evidence that OOART must be reinforced often.

Reducing the stigma surrounding opioid use disorder: evaluating an opioid overdose prevention training program applied to a diverse population.

BACKGROUND: The opioid epidemic is a rapidly growing public health concern in the USA, as the number of overdose deaths continues to increase each year. One strategy for combating the rising number of overdoses is through opioid overdose prevention programs (OOPPs). OBJECTIVE: To evaluate the effectiveness of an innovative OOPP, with changes in knowledge and attitudes serving as the primary outcome measures. METHODS: The OOPP was developed by a group of medical students under guidance from faculty advisors. Training sessions focused on understanding stigmatizing factors of opioid use disorder (OUD), as well as protocols for opioid overdose reversal through naloxone administration. Pre- and post-surveys were partially adapted from the opioid overdose attitudes and knowledge scales and administered to all participants. Paired t-tests were conducted to assess differences between pre- and post-surveys. RESULTS: A total of 440 individuals participated in the training; 381 completed all or the majority of the survey. Participants came from a diverse set of backgrounds, ages, and experiences. All three knowledge questions showed significant improvements. For attitude questions, significant improvements were found in all three questions evaluating confidence, two of three questions assessing attitudes towards overdose reversal, and four of five questions evaluating stigma and attitudes towards individuals with OUD. CONCLUSIONS: Our innovative OOPP was effective not only in increasing knowledge but also in improving attitudes towards overdose reversal and reducing stigma towards individuals with OUD. Given the strong improvements in attitudes towards those with OUD, efforts should be made to incorporate the unique focus on biopsychosocial and sociohistorical components into future OOPPs.

A Comparative Analysis of Online Versus in-Person Opioid Overdose Awareness and Reversal Training for First-Year Medical Students.

INTRODUCTION: Physicians trained in opioid use disorder (OUD) harm reduction can mitigate opioid overdose deaths by prescribing naloxone and educating patients about its use. Unfortunately, many physicians possess OUD stigma. Training during medical school presents an opportunity to reduce OUD stigma and improve opioid overdose reversal knowledge. This study assessed the efficacy of Opioid Overdose Awareness and Reversal Training (OOART) and evaluated the equivalency of the online and in-person OOART. Methods: Voluntary training was delivered to first-year medical (M1) students at one medical school. In 2018 and 2019, 29 and 68 M1 students, respectively, received in-person OOART training and completed pre- and post-training surveys. In 2020, 62 students participated in online OOART training, of which 53 completed both pre- and post-training surveys. Results: All three opioid overdose Knowledge questions showed significant improvements between pre- and post-training survey responses. For Attitude questions, six of eleven questions in 2019 and 2020 and four of eleven questions in 2018 had statistically significant improvements between pre- and post-training survey responses. There were no statistical differences between in-person and online post-training survey results for two out of the three Knowledge questions and all 11 Attitude questions. Conclusions: This study demonstrates that our OOART was effective in increasing opioid overdose reversal knowledge and reducing OUD stigma. There was no meaningful difference in outcomes between the training modalities. These results support the future expansion of online and in-person OOART to a larger population of medical students.

Host glycosylation of immunoglobulins impairs the immune response to acute Lyme disease.

BACKGROUND: Lyme disease is caused by the bacteria Borreliella burgdorferi sensu lato (Bb) transmitted to humans from the bite of an infected Ixodes tick. Current diagnostics for Lyme disease are insensitive at the early disease stage and they cannot differentiate between active infections and people with a recent history of antibiotic-treated Lyme disease. METHODS: Machine learning technology was utilized to improve the prediction of acute Lyme disease and identify sialic acid and galactose sugar structures (N-glycans) on immunoglobulins associated specifically at time points during acute Lyme disease time. A plate-based approach was developed to analyze sialylated N-glycans associated with anti-Bb immunoglobulins. This multiplexed approach quantitates the abundance of Bb-specific IgG and the associated sialic acid, yielding an accuracy of 90% in a powered study. FINDINGS: It was demonstrated that immunoglobulin sialic acid levels increase during acute Lyme disease and following antibiotic therapy and a 3-month convalescence, the sialic acid level returned to that found in healthy control subjects (p < 0.001). Furthermore, the abundance of sialic acid on Bb-specific IgG during acute Lyme disease impaired the host's ability to combat Lyme disease via lymphocytic receptor FcγRIIIa signaling. After enzymatically removing the sialic acid present on Bb-specific antibodies, the induction of cytotoxicity from acute Lyme disease patient antigen-specific IgG was significantly improved. INTERPRETATION: Taken together, Bb-specific immunoglobulins contain increased sialylation which impairs the host immune response during acute Lyme disease. Furthermore, this Bb-specific immunoglobulin sialyation found in acute Lyme disease begins to resolve following antibiotic therapy and convalescence. FUNDING: Funding for this study was provided by the Coulter-Drexel Translational Research Partnership Program as well as from a Faculty Development Award from the Drexel University College of Medicine Institute for Molecular Medicine and Infectious Disease and the Department of Microbiology and Immunology.

IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition.

The glycosylation of IgG plays a critical role during human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, activating immune cells and inducing cytokine production. However, the role of IgM N-glycosylation has not been studied during human acute viral infection. The analysis of IgM N-glycosylation from healthy controls and hospitalized coronavirus disease 2019 (COVID-19) patients reveals increased high-mannose and sialylation that correlates with COVID-19 severity. These trends are confirmed within SARS-CoV-2-specific immunoglobulin N-glycan profiles. Moreover, the degree of total IgM mannosylation and sialylation correlate significantly with markers of disease severity. We link the changes of IgM N-glycosylation with the expression of Golgi glycosyltransferases. Lastly, we observe antigen-specific IgM antibody-dependent complement deposition is elevated in severe COVID-19 patients and modulated by exoglycosidase digestion. Taken together, this work links the IgM N-glycosylation with COVID-19 severity and highlights the need to understand IgM glycosylation and downstream immune function during human disease.

IgG N-glycan Signatures as Potential Diagnostic and Prognostic Biomarkers.

IgG N-glycans are an emerging source of disease-specific biomarkers. Over the last decade, the continued development of glycomic databases and the evolution of glyco-analytic methods have resulted in increased throughput, resolution, and sensitivity. IgG N-glycans promote adaptive immune responses through antibody-dependent cellular cytotoxicity (ADCC) and complement activation to combat infection or cancer and promote autoimmunity. In addition to the functional assays, researchers are examining the ability of protein-specific glycosylation to serve as biomarkers of disease. This literature review demonstrates that IgG N-glycans can discriminate between healthy controls, autoimmune disease, infectious disease, and cancer with high sensitivity. The literature also indicates that the IgG glycosylation patterns vary across disease state, thereby supporting their role as specific biomarkers. In addition, IgG N-glycans can be collected longitudinally from patients to track treatment responses or predict disease reoccurrence. This review focuses on IgG N-glycan profiles applied as diagnostics, cohort discriminators, and prognostics. Recent successes, remaining challenges, and upcoming approaches are critically discussed.

Temporal Reinforcement of Naloxone Training Results in Significant Retention of Anti-bias and Overdose-Response Knowledge.

BACKGROUND: The opioid epidemic is an increasingly severe problem affecting public health and leading to significant economic burdens on healthcare systems. Overdose reversal training and de-stigmatization efforts are common strategies used to combat this epidemic. Nevertheless, healthcare professionals report a lack of confidence in administering naloxone and high stigmatization levels toward people with opioid use disorder (OUD). While one-time educational training reduces stigma and improves naloxone administration confidence, we previously demonstrated that knowledge retention at a three-month follow-up is reduced among a cohort of medical students. This study aimed to improve the effectiveness of opioid overdose awareness and reversal training (OOART) with a three-month follow-up abbreviated OOART (aOOART) booster video. METHODS: Voluntary OOART was offered to first-year medical students (M1) at the Drexel University College of Medicine in 2022. At this training, 82 students completed a pre-training survey to establish a baseline knowledge and attitude toward people with OUD and their familiarity with the steps to reverse an opioid overdose. Following the hour-long training, 64 of 82 (79%) participants completed the post-training survey to measure the immediate retention of training information. After 2.5 months, students were randomly selected to receive a 6.5-minute aOOART booster video or serve as an unboosted control. Students in the booster and non-booster cohorts then completed a three-month follow-up survey. RESULTS:  Students who received the aOOART booster had significantly increased opioid reversal knowledge scores compared to non-boosted control students at the three-month follow-up. The aOOART booster resulted in a retention of the lowered stigma, and participants expressed a higher willingness to respond to an opioid overdose compared to participants who did not receive the booster video at the three-month follow-up. CONCLUSIONS:  This study shows that an aOOART booster method improves knowledge retention following initial OOART. Further, the aOOART booster video served to maintain participants' reduced stigma toward people with OUD and maintained participants' willingness to respond to an opioid overdose. These results support the incorporation of an abbreviated, periodic OOART reinforcement video into opioid overdose response training nationwide. We believe this "booster video" approach is a novel and effective method to improve healthcare professionals' and medical student preparedness to render appropriate care to people with OUD.

IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition.

The glycosylation of IgG plays a critical role during human SARS-CoV-2, activating immune cells and inducing cytokine production. However, the role of IgM N-glycosylation has not been studied during acute viral infection in humans. In vitro evidence suggests that the glycosylation of IgM inhibits T cell proliferation and alters complement activation rates. The analysis of IgM N-glycosylation from healthy controls and hospitalized COVID-19 patients reveals that mannosylation and sialyation levels associate with COVID-19 severity. Specifically, we find increased di- and tri-sialylated glycans and altered mannose glycans in total serum IgM in severe COVID-19 patients when compared to moderate COVID-19 patients. This is in direct contrast with the decrease of sialic acid found on the serum IgG from the same cohorts. Moreover, the degree of mannosylation and sialylation correlated significantly with markers of disease severity: D-dimer, BUN, creatinine, potassium, and early anti-COVID-19 amounts of IgG, IgA, and IgM. Further, IL-16 and IL-18 cytokines showed similar trends with the amount of mannose and sialic acid present on IgM, implicating these cytokines' potential to impact glycosyltransferase expression during IgM production. When examining PBMC mRNA transcripts, we observe a decrease in the expression of Golgi mannosidases that correlates with the overall reduction in mannose processing we detect in the IgM N-glycosylation profile. Importantly, we found that IgM contains alpha-2,3 linked sialic acids in addition to the previously reported alpha-2,6 linkage. We also report that antigen-specific IgM antibody-dependent complement deposition is elevated in severe COVID-19 patients. Taken together, this work links the immunoglobulin M N-glycosylation with COVID-19 severity and highlights the need to understand the connection between IgM glycosylation and downstream immune function during human disease.

Acute lyme disease IgG N-linked glycans contrast the canonical inflammatory signature.

Lyme disease (LD) infection is caused by Borrelia burgdorferi sensu lato (Bb). Due to the limited presence of this pathogen in the bloodstream in humans, diagnosis of LD relies on seroconversion. Immunoglobulins produced in response to infection are differentially glycosylated to promote or inhibit downstream inflammatory responses by the immune system. Immunoglobulin G (IgG) N-glycan responses to LD have not been characterized. In this study, we analyzed IgG N-glycans from cohorts of healthy controls, acute LD patient serum, and serum collected after acute LD patients completed a 2- to 3-week course of antibiotics and convalesced for 70-90 days. Results indicate that during the acute phase of Bb infection, IgG shifts its glycosylation profile to include structures that are not associated with the classic proinflammatory IgG N-glycan signature. This unexpected result is in direct contrast to what is reported for other inflammatory diseases. Furthermore, IgG N-glycans detected during acute LD infection discriminated between control, acute, and treated cohorts with a sensitivity of 75-100% and specificity of 94.7-100%.

Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics.

The acceleration of climate change has been associated with an alarming increase in the prevalence and geographic range of tick-borne diseases (TBD), many of which have severe and long-lasting effects-particularly when treatment is delayed principally due to inadequate diagnostics and lack of physician suspicion. Moreover, there is a paucity of treatment options for many TBDs that are complicated by diagnostic limitations for correctly identifying the offending pathogens. This review will focus on the biology, disease pathology, and detection methodologies used for the Borreliaceae family which includes the Lyme disease agent Borreliella burgdorferi. Previous work revealed that Borreliaceae genomes differ from most bacteria in that they are composed of large numbers of replicons, both linear and circular, with the main chromosome being the linear with telomeric-like termini. While these findings are novel, additional gene-specific analyses of each class of these multiple replicons are needed to better understand their respective roles in metabolism and pathogenesis of these enigmatic spirochetes. Historically, such studies were challenging due to a dearth of both analytic tools and a sufficient number of high-fidelity genomes among the various taxa within this family as a whole to provide for discriminative and functional genomic studies. Recent advances in long-read whole-genome sequencing, comparative genomics, and machine-learning have provided the tools to better understand the fundamental biology and phylogeny of these genomically-complex pathogens while also providing the data for the development of improved diagnostics and therapeutics.

Establishment of blood glycosidase activities and their excursions in sepsis.

Glycosidases are hydrolytic enzymes studied principally in the context of intracellular catabolism within the lysosome. Therefore, glycosidase activities are classically measured in experimentally acidified assay conditions reflecting their low pH optima. However, glycosidases are also present in the bloodstream where they may retain sufficient activity to participate in the regulation of glycoprotein half-lives, proteostasis, and disease pathogenesis. We have, herein, established at physiological pH 7.4 in blood plasma and sera the normal ranges of four major glycosidase activities essential for blood glycoprotein remodeling in healthy mice and humans. These activities included ß-galactosidase, ß-N-acetylglucosaminidase, α-mannosidase, and α-fucosidase. We have identified their origins to include the mammalian genes Glb1, HexB, Man2a1, and Fuca1. In experimental sepsis, excursions of glycosidase activities occurred with differences in host responses to discrete bacterial pathogens. Among similar excursions in human sepsis, the elevation of ß-galactosidase activity was a prognostic indicator of increased likelihood of patient death.

Accelerated Aging and Clearance of Host Anti-inflammatory Enzymes by Discrete Pathogens Fuels Sepsis.

Sepsis is a life-threatening inflammatory syndrome accompanying a bloodstream infection. Frequently secondary to pathogenic bacterial infections, sepsis remains difficult to treat as a singular disease mechanism. We compared the pathogenesis of murine sepsis experimentally elicited by five bacterial pathogens and report similarities among host responses to Gram-negative Salmonella and E. coli. We observed that a host protective mechanism involving de-toxification of lipopolysaccharide by circulating alkaline phosphatase (AP) isozymes was incapacitated during sepsis caused by Salmonella or E. coli through activation of host Toll-like receptor 4, which triggered Neu1 and Neu3 neuraminidase induction. Elevated neuraminidase activity accelerated the molecular aging and clearance of AP isozymes, thereby intensifying disease. Mice deficient in the sialyltransferase ST3Gal6 displayed increased disease severity, while deficiency of the endocytic lectin hepatic Ashwell-Morell receptor was protective. AP augmentation or neuraminidase inhibition diminished inflammation and promoted host survival. This study illuminates distinct routes of sepsis pathogenesis, which may inform therapeutic development.