Physiologic medium renders human iPSC-derived macrophages permissive for M. tuberculosis by rewiring organelle function and metabolism.

In vitro studies are crucial for our understanding of the human macrophage immune functions. However, traditional in vitro culture media poorly reflect the metabolic composition of blood, potentially affecting the outcomes of these studies. Here, we analyzed the impact of a physiological medium on human induced pluripotent stem cell (iPSC)-derived macrophages (iPSDM) function. Macrophages cultured in a human plasma-like medium (HPLM) were more permissive to Mycobacterium tuberculosis (Mtb) replication and showed decreased lipid metabolism with increased metabolic polarization. Functionally, we discovered that HPLM-differentiated macrophages showed different metabolic organelle content and activity. Specifically, HPLM-differentiated macrophages displayed reduced lipid droplet and peroxisome content, increased lysosomal proteolytic activity, and increased mitochondrial activity and dynamics. Inhibiting or inducing lipid droplet formation revealed that lipid droplet content is a key factor influencing macrophage permissiveness to Mtb. These findings underscore the importance of using physiologically relevant media in vitro for accurately studying human macrophage function. IMPORTANCE: This work compellingly demonstrates that the choice of culture medium significantly influences M. tuberculosis replication outcomes, thus emphasizing the importance of employing physiologically relevant media for accurate in vitro host-pathogen interaction studies. We anticipate that our work will set a precedent for future research with clinical relevance, particularly in evaluating antibiotic efficacy and resistance in cellulo.

Lived Experiences of Sexuality and Sexual Functioning in Males with SCI: A Mixed-Methods Study.

Background: Sexual dysfunction is highly prevalent in males with spinal cord injury (SCI) and has been recognized to be a key recovery priority. Objectives: This cross-sectional, mixed-methods study aimed to investigate the major themes linked to sexual functioning in males with chronic (>1 year) SCI. Methods: Twenty male participants with SCI, aged 25 to 59 years, completed validated questionnaires exploring sexual function/satisfaction and health-related quality of life and a semi-structured interview with an experienced sexual medicine physician. Sex hormone concentrations and metabolic biomarkers, along with body composition and habitual physical activity levels, were assessed. Interview recordings were transcribed and thematic analysis performed using combined COM-B (Capability, Opportunity, Motivation, and Behavior) and biopsychosocial models to identify and organize major contributors and barriers to sexual functioning. Results: Metabolic and hormonal biomarkers largely fell within normal physiological ranges despite reduced sexual functioning reported in our cohort (19/20 participants reported some degree of erectile dysfunction). Qualitative analysis of interview transcripts revealed 24 themes. Adaptability was important for improving sexual satisfaction. Attraction and attentiveness to sex and partners remained stable over time, while the desire for intimacy increased post injury. Sexual social norms, and comparisons to the able-bodied population, provided challenges for sexual activity and partnership. Environmental concerns regarding access to sexual health resources and accessible physical spaces during intimacy were relevant. Mood disorders and general life stressors negatively impacted sexual desire, while physical activity encouraged sexual activity. Conclusion: By considering a holistic view of sexuality in males with SCI, we identified key contributors and barriers to sexual functioning for the cohort studied.

PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration.

As terabytes of multi-omics data are being generated, there is an ever-increasing need for methods facilitating the integration and interpretation of such data. Current multi-omics integration methods typically output lists, clusters, or subnetworks of molecules related to an outcome. Even with expert domain knowledge, discerning the biological processes involved is a time-consuming activity. Here we propose PathIntegrate, a method for integrating multi-omics datasets based on pathways, designed to exploit knowledge of biological systems and thus provide interpretable models for such studies. PathIntegrate employs single-sample pathway analysis to transform multi-omics datasets from the molecular to the pathway-level, and applies a predictive single-view or multi-view model to integrate the data. Model outputs include multi-omics pathways ranked by their contribution to the outcome prediction, the contribution of each omics layer, and the importance of each molecule in a pathway. Using semi-synthetic data we demonstrate the benefit of grouping molecules into pathways to detect signals in low signal-to-noise scenarios, as well as the ability of PathIntegrate to precisely identify important pathways at low effect sizes. Finally, using COPD and COVID-19 data we showcase how PathIntegrate enables convenient integration and interpretation of complex high-dimensional multi-omics datasets. PathIntegrate is available as an open-source Python package.

PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration.

As terabytes of multi-omics data are being generated, there is an ever-increasing need for methods facilitating the integration and interpretation of such data. Current multi-omics integration methods typically output lists, clusters, or subnetworks of molecules related to an outcome. Even with expert domain knowledge, discerning the biological processes involved is a time-consuming activity. Here we propose PathIntegrate, a method for integrating multi-omics datasets based on pathways, designed to exploit knowledge of biological systems and thus provide interpretable models for such studies. PathIntegrate employs single-sample pathway analysis to transform multi-omics datasets from the molecular to the pathway-level, and applies a predictive single-view or multi-view model to integrate the data. Model outputs include multi-omics pathways ranked by their contribution to the outcome prediction, the contribution of each omics layer, and the importance of each molecule in a pathway. Using semi-synthetic data we demonstrate the benefit of grouping molecules into pathways to detect signals in low signal-to-noise scenarios, as well as the ability of PathIntegrate to precisely identify important pathways at low effect sizes. Finally, using COPD and COVID-19 data we showcase how PathIntegrate enables convenient integration and interpretation of complex high-dimensional multi-omics datasets. The PathIntegrate Python package is available at https://github.com/cwieder/PathIntegrate.

Stapled ß-Hairpin Antimicrobial Peptides with Improved Stability and Activity against Drug-Resistant Gram-Negative Bacteria.

Different stapling techniques have been used recently to address the subpar performance of antimicrobial peptides (AMPs) in clinical trials with ample focus on α-helical AMPs. In comparison, a systematic evaluation of such strategies on ß-hairpin AMPs is lacking. Herein, we report the design, synthesis, and evaluation of a library of all-hydrocarbon-stapled ß-hairpin AMPs with variation in key parameters intended as potent therapeutics against drug-resistant pathogens. We observed an interesting interplay between the activity, stability, and structural strength. Single-stapled peptides with a 6-carbon staple at peptide termini such as 5(c6) displayed the most potent activity against colistin-resistant clinical isolates. Using imaging techniques, we observed translocation of 5(c6) across bacterial membranes without causing extensive damage. Overall, we have engineered novel all-hydrocarbon-stapled ß-hairpin AMPs with structural and functional proficiency that can effectively combat resistant pathogens, with findings from this study a point of reference for future interests in developing novel ß-hairpin AMPs.

Multifunctional Antibacterial Nanonets Attenuate Inflammatory Responses through Selective Trapping of Endotoxins and Pro-Inflammatory Cytokines.

Extracellular lipopolysaccharide (LPS) released from bacteria cells can enter the bloodstream and cause septic complications with excessive host inflammatory responses. Target-specific strategies to inactivate inflammation mediators have largely failed to improve the prognosis of septic patients in clinical trials. By utilizing their high density of positive charges, de novo designed peptide nanonets are shown to selectively entrap the negatively charged LPS and pro-inflammatory cytokines tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6). This in turn enables the nanonets to suppress LPS-induced cytokine production by murine macrophage cell line and rescue the antimicrobial activity of the last-resort antibiotic, colistin, from LPS binding. Using an acute lung injury model in mice, it is demonstrated that intratracheal administration of the fibrillating peptides is effective at lowering local release of TNF-α and IL-6. Together with previously shown ability to simultaneously trap and kill pathogenic bacteria, the peptide nanonets display remarkable potential as a holistic, multifunctional anti-infective, and anti-septic biomaterial.

Effects of tuberculosis and/or HIV-1 infection on COVID-19 presentation and immune response in Africa.

Few studies from Africa have described the clinical impact of co-infections on SARS-CoV-2 infection. Here, we investigate the presentation and outcome of SARS-CoV-2 infection in an African setting of high HIV-1 and tuberculosis prevalence by an observational case cohort of SARS-CoV-2 patients. A comparator group of non SARS-CoV-2 participants is included. The study includes 104 adults with SARS-CoV-2 infection of whom 29.8% are HIV-1 co-infected. Two or more co-morbidities are present in 57.7% of participants, including HIV-1 (30%) and active tuberculosis (14%). Amongst patients dually infected by tuberculosis and SARS-CoV-2, clinical features can be typical of either SARS-CoV-2 or tuberculosis: lymphopenia is exacerbated, and some markers of inflammation (D-dimer and ferritin) are further elevated (p < 0.05). Amongst HIV-1 co-infected participants those with low CD4 percentage strata exhibit reduced total, but not neutralising, anti-SARS-CoV-2 antibodies. SARS-CoV-2 specific CD8 T cell responses are present in 35.8% participants overall but undetectable in combined HIV-1 and tuberculosis. Death occurred in 30/104 (29%) of all COVID-19 patients and in 6/15 (40%) of patients with coincident SARS-CoV-2 and tuberculosis. This shows that in a high incidence setting, tuberculosis is a common co-morbidity in patients admitted to hospital with COVID-19. The immune response to SARS-CoV-2 is adversely affected by co-existent HIV-1 and tuberculosis.

A Phase 2A Trial of the Safety and Tolerability of Increased Dose Rifampicin and Adjunctive Linezolid, With or Without Aspirin, for Human Immunodeficiency Virus-Associated Tuberculous Meningitis: The LASER-TBM Trial.

BACKGROUND: Drug regimens that include intensified antibiotics alongside effective anti-inflammatory therapies may improve outcomes in tuberculous meningitis (TBM). Safety data on their use in combination and in the context of human immunodeficiency virus (HIV) are needed to inform clinical trial design. METHODS: We conducted a phase 2, open-label, parallel-design, randomized, controlled trial to assess the safety of high-dose rifampicin, linezolid, and high-dose aspirin in HIV-associated TBM. Participants were randomized (1.4:1:1) to 3 treatment arms (1, standard of care [SOC]; 2, SOC + additional rifampicin [up to 35 mg/kg/d] + linezolid 1200 mg/d reducing after 28 days to 600 mg/d; 3, as per arm 2 + aspirin 1000 mg/d) for 56 days, when the primary outcome of adverse events of special interest (AESI) or death was assessed. RESULTS: A total of 52 participants with HIV-associated TBM were randomized; 59% had mild disease (British Medical Research Council (MRC) grade 1) vs 39% (grade 2) vs 2% (grade 3). AESI or death occurred in 10 of 16 (63%; arm 3) vs 4 of 14 (29%; arm 2) vs 6 of 20 (30%; arm 1; P = .083). The cumulative proportion of AESI or death (Kaplan-Meier) demonstrated worse outcomes in arm 3 vs arm 1 (P = .04); however, only 1 event in arm 3 was attributable to aspirin and was mild. There was no difference in efficacy (modified Rankin scale) between arms. CONCLUSIONS: High-dose rifampicin and adjunctive linezolid can safely be added to the standard of care in HIV-associated TBM. Larger studies are required to determine whether potential toxicity associated with these interventions, particularly high-dose aspirin, is outweighed by mortality or morbidity benefit. CLINICAL TRIALS REGISTRATION: NCT03927313.

Single sample pathway analysis in metabolomics: performance evaluation and application.

BACKGROUND: Single sample pathway analysis (ssPA) transforms molecular level omics data to the pathway level, enabling the discovery of patient-specific pathway signatures. Compared to conventional pathway analysis, ssPA overcomes the limitations by enabling multi-group comparisons, alongside facilitating numerous downstream analyses such as pathway-based machine learning. While in transcriptomics ssPA is a widely used technique, there is little literature evaluating its suitability for metabolomics. Here we provide a benchmark of established ssPA methods (ssGSEA, GSVA, SVD (PLAGE), and z-score) alongside the evaluation of two novel methods we propose: ssClustPA and kPCA, using semi-synthetic metabolomics data. We then demonstrate how ssPA can facilitate pathway-based interpretation of metabolomics data by performing a case-study on inflammatory bowel disease mass spectrometry data, using clustering to determine subtype-specific pathway signatures. RESULTS: While GSEA-based and z-score methods outperformed the others in terms of recall, clustering/dimensionality reduction-based methods provided higher precision at moderate-to-high effect sizes. A case study applying ssPA to inflammatory bowel disease data demonstrates how these methods yield a much richer depth of interpretation than conventional approaches, for example by clustering pathway scores to visualise a pathway-based patient subtype-specific correlation network. We also developed the sspa python package (freely available at https://pypi.org/project/sspa/ ), providing implementations of all the methods benchmarked in this study. CONCLUSION: This work underscores the value ssPA methods can add to metabolomic studies and provides a useful reference for those wishing to apply ssPA methods to metabolomics data.

Addressing antimicrobial resistance with the IDentif.AI platform: Rapidly optimizing clinically actionable combination therapy regimens against nontuberculous mycobacteria.

Background: Current standard of care (SOC) regimens against nontuberculous mycobacteria (NTM) usually result in unsatisfactory therapeutic responses, primarily due to multi-drug resistance and antibiotic susceptibility-guided therapies. In the midst of rising incidences in NTM infections, strategies to develop NTM-specific treatments have been explored and validated. Methods: To provide an alternative approach to address NTM-specific treatment, IDentif.AI was harnessed to rapidly optimize and design effective combination therapy regimens against Mycobacterium abscessus (M. abscessus), the highly resistant and rapid growth species of NTM. IDentif.AI interrogated the drug interaction space from a pool of 6 antibiotics, and pinpointed multiple clinically actionable drug combinations. IDentif.AI-pinpointed actionable combinations were experimentally validated and their interactions were assessed using Bliss independence model and diagonal measurement of n-way drug interactions. Results: Notably, IDentfi.AI-designed 3- and 4-drug combinations demonstrated greater %Inhibition efficacy than the SOC regimens. The platform also pinpointed two unique drug interactions (Levofloxacin (LVX)/Rifabutin (RFB) and LVX/Meropenem (MEM)) that may serve as the backbone of potential 3- and 4-drug combinations like LVX/MEM/RFB, which exhibited 58.33±4.99 %Inhibition efficacy against M. abscessus. Further analysis of LVX/RFB via Bliss independence model pointed to dose-dependent synergistic interactions in clinically actionable concentrations. Conclusions: IDentif.AI-designed combinations may provide alternative regimen options to current SOC combinations that are often administered with Amikacin, which has been known to induce ototoxicity in patients. Furthermore, IDentif.AI pinpointed 2-drug interactions may also serve as the backbone for the development of other effective 3- and 4-drug combination therapies. The findings in this study suggest that this platform may contribute to NTM-specific drug development.

Sugar-Assisted Cryopreservation of Stem Cell-Laden Gellan Gum-Collagen Interpenetrating Network Hydrogels.

Tissue engineering involves the transplantation of stem cell-laden hydrogels as synthetic constructs to replace damaged tissues. However, their time-consuming fabrication procedures are hurdles to widespread application in clinics. Fortunately, similar to cell banking, synthetic tissues could be cryopreserved for subsequent central distribution. Here, we report the use of trehalose and gellan gum as biomacromolecules to form a cryopreservable yet directly implantable hydrogel system for adipose-derived stem cell (ADSC) delivery. Through a modified cell encapsulation method and a preincubation step, adequate cryoprotection was afforded at 0.75 M trehalose to the encapsulated ADSCs. At this concentration, trehalose demonstrated lower propensity to induce apoptosis than 10% DMSO, the current gold standard cryoprotectant. Moreover, when cultured along with trehalose after thawing, the encapsulated ADSCs retained their stem cell-like phenotype and osteogenic differentiation capacity. Taken together, this study demonstrates the feasibility of an "off-the-shelf" biomacromolecule-based synthetic tissue to be applied in widespread tissue engineering applications.

Patients' access to 2018 FDA-approved drugs 1 year post approval.

OBJECTIVES: To examine US commercial health plans' adoption of 2018 FDA-approved drugs. STUDY DESIGN: Database analysis. METHODS: We identified novel drugs that the FDA approved in 2018 and categorized them as follows: cancer treatment, orphan drug, included in an expedited review program, and biosimilar. Using a data set of 17 large health plans' drug coverage policies and formularies, we examined coverage 1 year following FDA approval. RESULTS: The FDA approved 66 drugs in 2018 (5 were not yet marketed 1 year following approval). For 60 of 61 drugs, some plans issued coverage policies whereas other plans included the drug in their formularies. Plans imposed restrictions (eg, step therapy) in 37% (275/742) of coverage policies. Plans covered biosimilars, orphan drugs, and cancer treatments more generously than drugs not in those categories (P < .05). Plans imposed restrictions in their policies with different frequencies (range, 7%-52%). Plans imposed utilization management (UM) in 82% (3837/4697) of formulary entries. Of those entries, plans required prior authorizations in 98%, included drugs on the highest patient co-payment tier in 70%, and imposed step therapy in 3%. Plans most often placed orphan drugs and cancer treatments on the highest cost-sharing formulary tiers (68% and 64% of the time, respectively). Plans imposed UM in their formularies with different frequencies (range, 62%-100% of entries). CONCLUSIONS: Health plans imposed fewer coverage restrictions on cancer treatments, orphan drugs, and biosimilars than on drugs not in those categories. Some plans covered 2018 FDA-approved drugs more generously than others, which has implications for patients' access to innovative therapies.

Host transcriptomic signatures of tuberculosis can predict immune reconstitution inflammatory syndrome in HIV patients.

Immune reconstitution inflammatory syndrome (IRIS) can be a complication of antiretroviral therapy (ART) in patients with advanced HIV, but its pathogenesis is uncertain. In tuberculosis (TB) endemic countries, IRIS is often associated with mycobacterial infections or Bacille-Calmette-Guerin (BCG) vaccination in children. With no predictive or confirmatory tests at present, IRIS remains a diagnosis of exclusion. We tested whether RISK6 and Sweeney3, validated immune-based blood transcriptomic signatures for TB, could predict or diagnose IRIS in HIV+ children and adults. Transcripts were measured by RT-qPCR in BCG-vaccinated children and by microarray in HIV+ adults with TB including TB meningitis (TBM). Signature scores before ART initiation and up to IRIS diagnosis were compared between participants who did or did not develop IRIS. In children, RISK6 and Sweeney3 discriminated IRIS cases from non-IRIS controls before ART, and at diagnosis. In adults with TB, RISK6 discriminated IRIS cases from controls after half-week on ART and at TB-IRIS onset. In adults with TBM, only Sweeney3 discriminated IRIS cases from controls before ART, while both signatures distinguished cases from controls at TB-IRIS onset. Parsimonious whole blood transcriptomic signatures for TB showed potential to predict and diagnose IRIS in HIV+ children and adults.

Rationalisation of Antifungal Properties of α-Helical Pore-Forming Peptide, Mastoparan B.

The high mortality associated with invasive fungal infections, narrow spectrum of available antifungals, and increasing evolution of antifungal resistance necessitate the development of alternative therapies. Host defense peptides are regarded as the first line of defense against microbial invasion in both vertebrates and invertebrates. In this work, we investigated the effectiveness of four naturally occurring pore-forming antimicrobial peptides (melittin, magainin 2, cecropin A, and mastoparan B) against a panel of clinically relevant pathogens, including Candida albicans, Candida parapsilosis, Candida tropicalis, and Candida glabrata. We present data on the antifungal activities of the four pore-forming peptides, assessed with descriptive statistics, and their cytocompatibility with cultured human cells. Among the four peptides, mastoparan B (MB) displayed potent antifungal activity, whereas cecropin A was the least potent. We show that MB susceptibility of phylogenetically distant non-candida albicans can vary and be described by different intrinsic physicochemical parameters of pore-forming α-helical peptides. These findings have potential therapeutic implications for the design and development of safe antifungal peptide-based drugs.

Novel tetrameric cell penetrating antimicrobial peptoids effective against mycobacteria and drug-resistant Staphylococcus aureus.

BACKGROUND: Antimicrobial peptides (AMPs) are short, cationic, amphipathic molecules that have gained tremendous popularity as alternatives to traditional antibiotics due to their lower propensity to develop bacterial resistance. However, the clinical developability of AMPs remains impeded due to shortcomings such as proteolytic instability and poor penetration leading to low bioavailability. AIMS: To improve the access of AMPs to cells and subsequent bacteria killing, we evaluated the cell-penetrating and antimicrobial properties of three novel libraries of synthetic peptoids using Minimum Inhibitory Concentration, killing efficacy and membrane permeabilization assays against mycobacteria and Staphylococcus aureus. In addition, we investigated cell selectivity using mammalian cells to assess peptoid toxicity. RESULTS: We showed that short tetrameric Rhodamine B-labeled peptoids composed of a balance of aromatic and lipophilic residues have potent selective antimicrobial activity against a range of microorganisms. The most potent candidates were active against drug-resistant S. aureus isolates as well as mycobacterial strains, with cell penetrating capabilities reported in HeLa and RAW 264.7 macrophage cells. CONCLUSIONS: These data suggest that peptoids with novel dual functionalities may potentially be an interesting class of therapeutics and/or molecular delivery agents for anti-infective purposes.

Transcriptomic Characterization of Tuberculous Sputum Reveals a Host Warburg Effect and Microbial Cholesterol Catabolism.

The crucial transmission phase of tuberculosis (TB) relies on infectious sputum and yet cannot easily be modeled. We applied one-step RNA sequencing (RNA-Seq) to sputum from infectious TB patients to investigate the host and microbial environments underlying transmission of Mycobacterium tuberculosis. In such TB sputa, compared to non-TB controls, transcriptional upregulation of inflammatory responses, including an interferon-driven proinflammatory response and a metabolic shift toward glycolysis, was observed in the host. Among all bacterial sequences in the sputum, approximately 1.5% originated from M. tuberculosis, and its transcript abundance was lower in HIV-1-coinfected patients. Commensal bacterial abundance was reduced in the presence of M. tuberculosis infection. Direct alignment to the genomes of the predominant microbiota species also reveals differential adaptation, whereby firmicutes (e.g., streptococci) displayed a nonreplicating phenotype with reduced transcription of ribosomal proteins and reduced activities of ATP synthases, while Neisseria and Prevotella spp. were less affected. The transcriptome of sputum M. tuberculosis more closely resembled aerobic replication and shared similarity in carbon metabolism to in vitro and in vivo models with significant upregulation of genes associated with cholesterol metabolism and downstream propionate detoxification pathways. In addition, and counter to previous reports on intracellular M. tuberculosis infection in vitro, M. tuberculosis in sputum was zinc, but not iron, deprived, and the phoP loci were also significantly downregulated, suggesting that the pathogen is likely extracellular in location. IMPORTANCE Although a few studies have described the microbiome composition of TB sputa based on 16S ribosomal DNA, these studies did not compare to non-TB samples and the nature of the method does not allow any functional inference. This is the first study to apply such technology using clinical specimens and obtained functional transcriptional data on all three aspects simultaneously. We anticipate that an improved understanding on the biological interactions in the respiratory tract may also allow novel interventions, such as those involving microbiome manipulation or inhibitor targeting disease-specific metabolic pathways.

Weekend Admissions Associated with Increased Length of Stay for Children Undergoing Cholecystectomy.

BACKGROUND AND OBJECTIVES: Prior research shows an association between increased length of stay (LOS) and weekend surgical admissions, but none have looked at this relationship in children undergoing nonelective cholecystectomy for benign noncongenital biliary disease. We investigated whether weekend admissions lead to a longer LOS in this patient population. METHODS: The Statewide Planning and Research Cooperative System database was queried for children ≤ 17 years undergoing cholecystectomy in New York State between January 1, 2009 and December 31, 2012. Parametric and nonparametric statistical testing was used for univariate analysis; multivariable binary logistic regression and linear regression models were used for multivariable analysis. Statistical significance was < 0.05. RESULTS: A total of 1066 pediatric patients underwent nonelective cholecystectomy for gallstone pancreatitis (9.7%) and other benign biliary noncongenital diseases (90.3%), of which 22.1% of all patients were admitted over the weekend. Most cases (97.2%) were treated laparoscopically with an overall 3-day median LOS. Weekend admission was associated with an increased LOS of 4 days as opposed to 3 days during the weekday (p < 0.001). On a multivariable binary logistic regression model controlling for hospital factors, indication for surgery, and comorbidities, weekend admission was associated with 1.92 odds of increased length of stay (adjusted odds ratio of 1.924, 95% confidence interval: 1.386-2.673). CONCLUSION: Weekend admissions were associated with increased LOS and charges for children requiring nonelective cholecystectomy, despite the wide use of laparoscopic surgery.

Wirelessly operated bioelectronic sutures for the monitoring of deep surgical wounds.

Monitoring surgical wounds post-operatively is necessary to prevent infection, dehiscence and other complications. However, the monitoring of deep surgical sites is typically limited to indirect observations or to costly radiological investigations that often fail to detect complications before they become severe. Bioelectronic sensors could provide accurate and continuous monitoring from within the body, but the form factors of existing devices are not amenable to integration with sensitive wound tissues and to wireless data transmission. Here we show that multifilament surgical sutures functionalized with a conductive polymer and incorporating pledgets with capacitive sensors operated via radiofrequency identification can be used to monitor physicochemical states of deep surgical sites. We show in live pigs that the sutures can monitor wound integrity, gastric leakage and tissue micromotions, and in rodents that the healing outcomes are equivalent to those of medical-grade sutures. Battery-free wirelessly operated bioelectronic sutures may facilitate post-surgical monitoring in a wide range of interventions.

Variation in access to hemophilia A treatments in the United States.

BACKGROUND: US commercial health plans have been found to vary in how they cover specialty drugs indicated for a range of diseases. In this study, we examined patients' access to hemophilia A (HemA) treatments across a set of large commercial health plans. OBJECTIVE: To examine variation in health plans' coverage policies for HemA treatments. METHODS: We reviewed HemA treatment coverage policies (current as of August 2019) issued by 17 commercial health plans primarily using the Tufts Medical Center Specialty Drug Evidence and Coverage Database. We categorized policies as: covered without conditions (coverage consistent with the FDA label); covered with conditions (conditions on coverage beyond the FDA label); broader coverage (coverage for a broader patient population than the FDA label); and mixed (conditions on coverage beyond the FDA label in one way, but coverage was broader than the FDA label in another). RESULTS: We identified 296 coverage policies for 26 HemA treatments, including 15 short half-life factor VIII (FVIII) products, five extended half-life FVIII products, three bypassing agents, two desmopressin products, and emicizumab. We classified 36% of policies as coverage without conditions, 50% as covered with conditions, 7% as broader coverage, and 7% as mixed. Plans applied conditions on coverage with different frequencies: two did not apply conditions in any policies; ten applied conditions in ≥50%; four applied conditions in <40%. One plan did not publish coverage policies for any HemA products. Conditions on coverage most often related to bleeding frequency (36%), although specific requirements varied. Plans applied step therapy protocols in 17% of policies. CONCLUSIONS: How health plans covered HemA treatments varied. Plans added conditions on coverage beyond the FDA label roughly half the time. Conditions most often related to bleeding frequency. Variable coverage affects patients' access to treatment, and potentially has clinical implications on disease management and disease progression.