Purpose of Review Coronavirus disease 2019 (COVID19) involves the heart, including pericardium. This article reviews the possible pathophysiological mechanisms in pericardial involvement in COVID19 and pericardial manifestations of COVID19. It also summarizes the patients with pericarditis secondary to COVID19 and outlines the contemporary treatment strategies in this patient population. Recent Findings A high degree of suspicion is required to identify the pericardial involvement in COVID19 patients. It is proposed that an underlying hyperinflammatory reaction in COVID19 leads to pericardial inflammation. Acute pericarditis with or without myocardial involvement is diagnosed on clinical presentation, serum inflammatory markers, electrocardiogram, and echocardiogram. Multimodality imaging may also have an additional diagnostic value. Patients are usually managed medically, but some patients develop a life-threatening pericardial tamponade necessitating pericardial drainage. Summary Pericardial involvement is an important clinical manifestation of COVID19 requiring a proper workup. Timely diagnosis and a specific management plan based on the presentation and concomitant organ involvement usually lead to a complete recovery.

Background Though the gut microbiome has been associated with efficacy of immunotherapy (ICI) in certain cancers, similar findings have not been identified for microbiomes from other body sites and their correlation to treatment response and immune related adverse events (irAEs) in lung cancer (LC) patients receiving ICIs. Methods We designed a prospective cohort study conducted from 2018 to 2020 at a single-center academic institution to assess for correlations between the microbiome in various body sites with treatment response and development of irAEs in LC patients treated with ICIs. Patients must have had measurable disease, ECOG 0–2, and good organ function to be included. Data was collected for analysis from January 2019 to October 2020. Patients with histopathologically confirmed, advanced/metastatic LC planned to undergo immunotherapy-based treatment were enrolled between September 2018 and June 2019. Nasal, buccal and gut microbiome samples were obtained prior to initiation of immunotherapy +/− chemotherapy, at development of adverse events (irAEs), and at improvement of irAEs to grade 1 or less. Results Thirty-seven patients were enrolled, and 34 patients were evaluable for this report. 32 healthy controls (HC) from the same geographic region were included to compare baseline gut microbiota. Compared to HC, LC gut microbiota exhibited significantly lower α-diversity. The gut microbiome of patients who did not suffer irAEs were found to have relative enrichment of Bifidobacterium (p = 0.001) and Desulfovibrio (p = 0.0002). Responders to combined chemoimmunotherapy exhibited increased Clostridiales (p = 0.018) but reduced Rikenellaceae (p = 0.016). In responders to chemoimmunotherapy we also observed enrichment of Finegoldia in nasal microbiome, and increased Megasphaera but reduced Actinobacillus in buccal samples. Longitudinal samples exhibited a trend of α-diversity and certain microbial changes during the development and resolution of irAEs. Conclusions This pilot study identifies significant differences in the gut microbiome between HC and LC patients, and their correlation to treatment response and irAEs in LC. In addition, it suggests potential predictive utility in nasal and buccal microbiomes, warranting further validation with a larger cohort and mechanistic dissection using preclinical models. Trial registration ClinicalTrials.gov, NCT03688347. Retrospectively registered 09/28/2018.

Boolean modelling of biological networks is a well-established technique for abstracting dynamical biomolecular regulation in cells. Specifically, decoding linkages between salient regulatory network states and corresponding cell fate outcomes can help uncover pathological foundations of diseases such as cancer. Attractor landscape analysis is one such methodology which converts complex network behavior into a landscape of network states wherein each state is represented by propensity of its occurrence. Towards undertaking attractor landscape analysis of Boolean networks, we propose an Attractor Landscape Analysis Toolbox (ATLANTIS) for cell fate discovery, from biomolecular networks, and reprogramming upon network perturbation. ATLANTIS can be employed to perform both deterministic and probabilistic analyses. It has been validated by successfully reconstructing attractor landscapes from several published case studies followed by reprogramming of cell fates upon therapeutic treatment of network. Additionally, the biomolecular network of HCT-116 colorectal cancer cell line has been screened for therapeutic evaluation of drug-targets. Our results show agreement between therapeutic efficacies reported by ATLANTIS and the published literature. These case studies sufficiently highlight the in silico cell fate prediction and therapeutic screening potential of the toolbox. Lastly, ATLANTIS can also help guide single or combinatorial therapy responses towards reprogramming biomolecular networks to recover cell fates.

Purpose/objective The aim of this study was to develop and investigate the properties of a magnetic iron oxide nanoparticle–ethiodised oil formulation for image-guided thermal therapy of liver cancer. Materials and methods The formulation comprises bionised nano-ferrite (BNF) nanoparticles suspended in ethiodised oil, emulsified with polysorbate 20 (BNF-lip). Nanoparticle size was measured via photon correlation spectroscopy and transmission electron microscopy. In vivo thermal therapy capability was tested in two groups of male Foxn1nu mice bearing subcutaneous HepG2 xenograft tumours. Group I (n =12) was used to screen conditions for group II (n =48). In group II, mice received one of BNF-lip (n =18), BNF alone (n =16), or PBS (n =14), followed by alternating magnetic field (AMF) hyperthermia, with either varied duration (15 or 20 min) or amplitude (0, 16, 20, or 24 kA/m). Image-guided fluoroscopic intra-arterial injection of BNF-lip was tested in New Zealand white rabbits (n =10), bearing liver VX2 tumours. The animals were subsequently imaged with CT and 3 T MRI, up to 7 days post-injection. The tumours were histopathologically evaluated for distribution of BNF-lip. Results The BNF showed larger aggregate diameters when suspended in BNF-lip, compared to clear solution. The BNF-lip formulation produced maximum tumour temperatures with AMF >20 kA/m and showed positive X-ray visibility and substantial shortening of T1 and T2 relaxation time, with sustained intratumoural retention up to 7 days post-injection. On pathology, intratumoural BNF-lip distribution correlated well with CT imaging of intratumoural BNF-lip distribution. Conclusion The BNF-lip formulation has favourable thermal and dual imaging capabilities for image-guided thermal therapy of liver cancer, suggesting further exploration for clinical applications.

Background Patients with recurrent pericarditis (RP) may develop complications, multiple recurrences, or inadequate treatment response. This study aimed to characterize disease burden and unmet needs in RP. Methods and Results This retrospective US database analysis included newly diagnosed patients with RP with ≥24 months of continuous history following their first pericarditis episode. RP was defined as ≥2 pericarditis episodes ≥28 days apart. Some patients had ≥2 recurrences, while others had a single recurrence with a serious complication, ie, constrictive pericarditis, cardiac tamponade, or a large pericardial effusion with pericardiocentesis/pericardial window. Among these patients with multiple recurrences and/or complications, some had features relating to treatment history, including long‐term corticosteroid use (corticosteroids started within 30 days of flare, continuing ≥90 consecutive days) or inadequate treatment response (pericarditis recurring despite corticosteroids and/or colchicine, or other drugs [excluding NSAIDs] within 30 days of flare, or prior pericardiectomy). Patients (N=2096) had hypertension (60%), cardiomegaly (9%), congestive heart failure (17%), atrial fibrillation (16%), autoimmune diseases (18%), diabetes mellitus (21%), renal disease (20%), anxiety (21%), and depression (14%). Complications included pericardial effusion (50%), cardiac tamponade (9%), and constrictive pericarditis (4%). Pharmacotherapy included colchicine (51%), NSAIDs (40%), and corticosteroids (30%), often in combination. This study estimates 37 000 US patients with RP; incidence was 6.0/100 000/year (95% CI, 5.6‒6.3), and prevalence was 11.2/100 000 (95% CI, 10.6‒11.7). Conclusions Patients with RP may have multiple recurrences and/or complications, often because of inadequate treatment response and persistent underlying disease. Corticosteroid use is frequent despite known side‐effect risks, potentially exacerbated by prevalent comorbidities. Substantial clinical burden and lack of effective treatments underscore the high unmet need.

Effective communication between intensive care unit (ICU) staff, and patients and their families, can help increase understanding, trust, and goals-of-care decisions. Many strategies focus on enhancing communication by increasing family meetings or adding patient navigators. In our ICU, we implemented both strategies, uniquely appointing a chaplain for the patient navigator role. We then surveyed ICU staff on their perceptions of the chaplain/patient navigator, which yielded several valuable insights. Although all staff supported a strong chaplaincy presence, many had concerns about the dual chaplain/patient navigator role. Based on our mixed results, we encourage further exploration to optimize the chaplain role in the ICU.

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Multidrug resistance (MDR) to chemotherapeutic drugs remains one of the major impediments to the treatment of cancer. Discovery and development of drugs that can prevent and reverse the acquisition of multidrug resistance constitute a foremost challenge in cancer therapeutics. In this work, we screened a library of 1,127 compounds with known targets for their ability to overcome Pgp-mediated multidrug resistance in cancer cell lines. We identified four compounds (CHIR-124, Elesclomol, Tyrphostin-9 and Brefeldin A) that inhibited the growth of two pairs of parental and Pgp-overexpressing multidrug-resistant cell lines with similar potency irrespective of their Pgp status. Mechanistically, CHIR-124 (a potent inhibitor of Chk1 kinase) inhibited Pgp activity in both multidrug-resistant cell lines (KB-V1 and A2780-Pac-Res) as determined through cell-based Pgp-efflux assays. Other three inhibitors on the contrary, were effective in Pgp-overexpressing resistant cells without increasing the cellular accumulation of a Pgp substrate, indicating that they overcome resistance by avoiding efflux through Pgp. None of these compounds modulated the expression of Pgp in resistant cell lines. PIK-75, a PI3 Kinase inhibitor, was also determined to inhibit Pgp activity, despite being equally potent in only one of the two pairs of resistant and parental cell lines. Strong binding of both CHIR-124 and PIK-75 to Pgp was predicted through docking studies and both compounds inhibited Pgp in a biochemical assay. The inhibition of Pgp causes accumulation of these compounds in the cells where they can modulate the function of their target proteins and thereby inhibit cell proliferation. In conclusion, we have identified compounds with various cellular targets that overcome multidrug resistance in Pgp-overexpressing cell lines through mechanisms that include Pgp inhibition and efflux evasion. These compounds, therefore, can avoid challenges associated with the co-administration of Pgp inhibitors with chemotherapeutic or targeted drugs such as additive toxicities and differing pharmacokinetic properties.