Citations

Purpose: To report the use of modified ex vivo renal artery (RA) reconstruction in a patient with 2 small right RAs (RRAs) in anticipation of planned fenestrated-branched endovascular aortic repair (FB-EVAR) of thoracoabdominal aortic aneurysm (TAAA). Case Report: A staged hybrid repair was utilized in a patient with Extent II TAAA involving celiac axis (CA), superior mesenteric artery (SMA), single left RA (LRA), and 2 small (<3 mm) RRAs. The first-stage operation consisted of hepato-renal bypass using modified ex vivo renal reconstruction with single end-to-end anastomosis to both RAs using a saphenous vein graft. A second stage FB-EVAR was performed using patient-specific manufactured stent-graft with 3 fenestrations for the CA, SMA, and LRA 6 weeks later. The patient recovered with no complications. At 4 years, the patient had widely patent hepato-renal bypass and target vessels with normal renal function. Conclusion: The use of adjunctive hybrid procedures may optimize or facilitate FB-EVAR. In this patient, salvage of 2 small RAs was not ideally suited for branch stenting but was possible using modified ex vivo RA reconstruction with preservation of kidney parenchyma and function. Clinical Impact This case report illustrates a hybrid approach to overcome one of the most frequent limitations to total endovascular incorporation of renal arteries, eg small diameter, early bifurcation and multiple vessels. The modified ex vivo technique allows meticulous renal artery reconstruction without the deleterious effect of warm ischemia and without the cumbersome reconstruction of ureter and vein that is needed with traditional on table ex vivo auto transplantation. The technique is used in a minority of cases and adds the morbidity of open approach. Case selection is of paramount importance.

Abstract Sensing of extracellular metabolites controls CD8+ T cell function. Their accumulation can occur through export by specialized molecules, such as the release channel Pannexin-1 (Panx1). Here, we report that T cell-specific Panx1 is needed for efficient CD8+ T cell responses to viral infection and cancer. Panx1 favors both the expansion of effector CD8+ T cells and the survival of memory CD8+ T cells. Our data suggests that, while memory CD8+ T cells require Panx1 for mitochondrial function, Panx1 promotes the glycolytic pathway in effector CD8+ T cells. Panx1 promotes memory CD8+ T cell survival together with the eATP sensor P2RX7. However, Panx1 induces effector CD8+ T cells independently of eATP. Rather, we found an unexpected link between Panx1, lactate export and the activation of effector CD8+ T cells. Therefore, Panx1 regulates effector and memory CD8+ T cells through export of distinct metabolites and by engaging different intracellular pathways.

Abstract Development of universal influenza (flu) vaccines requires better knowledge of lung-resident immune responses. That includes flu-specific CD4 T cells, which establish long-term lung residency and induce a diversified local protective response to subsequent infection. Tissue-resident helper (Trh) cells are a subset of lung-resident CD4 T cells that share phenotypic and functional features with follicular helper cells (Tfh). Trh cells serve to amplify lung-resident immune responses, and express high levels of the extracellular ATP (eATP) sensor P2RX7. Considering that eATP levels in the lung increase in response to flu infection, we used T cell-specific P2RX7-knockout (KO) mice to test the role of P2RX7 for CD4 T cell responses to flu. During acute phase of infection, we found that P2RX7 promotes the accumulation of flu-specific CD4 T cells inside the lung tissue. Moreover, P2RX7 promoted this establishment via induction of CXCR3 upregulation. Despite no specific defects in the Trh pool at the acute phase, T cell-specific P2RX7-KO led to a progressive decay of Trh cells. Consequently, lungs of T cell-P2RX7-KO mice had reduced lung B cell responses. Our single-cell RNAseq of lung flu-specific CD4 T cells showed reduced expression of cell survival and mitochondrial genes in P2RX7-KO Trh cells. Our findings suggest that lung eATP sensing by CD4 T cells induces lung-resident CD4 T cell accumulation in response to flu, impacting the survival of specific lung CD4 T cell subsets. National Institute of Allergy and Infectious Diseases (NIAID) (H.BdS.: R00 AI139381, R01 AI170649).

Abstract Extracellular ATP (eATP) is a danger signal released by inflamed tissues, and can be sensed by immune cells via P2RX7. P2RX7 promotes lung pathology induced by influenza infection, by inducing exacerbated numbers of lung CD4+ T cells. In response to influenza, lung CD4+ T cells are comprised of a type 1 (Th1)-like population, and a subset resembling follicular helper (Tfh) CD4+ T cells; this subset is called tissue-resident helper (Trh). Trh cells amplify lung effector immune responses. Trh cells express high P2RX7 levels, and current research in our laboratory shows that P2RX7 is crucial for Trh cell establishment and subsequent lung damage. We have also found that the intensity of lung damage caused by influenza is positively correlated with P2RX7+ lung Trh cells. It is not clear, however, how concomitant exposure to influenza and type 2 immunity-inducing lung allergens (a common clinical occurrence in the United States) affect P2RX7+ lung Trh cells and their resultant tissue damage. We investigated this, using House Dust Mite (HDM) allergen exposure together with Influenza (PR8) infection. HDM/PR8 co-exposure induced worsening of lung inflammation, compared to single exposure to PR8. This inflammation had type 1 characteristics (i.e. parenchymal immune cell accumulation and absence of mucus). The increased lung damage generated by HDM/PR8 exacerbated the generation of influenza-specific P2RX7+ lung Trh cells. The accumulation of lung Trh cells (and subsequent tissue damage) caused by HDM/PR8 was abolished in T cell-specific P2RX7-knockout mice. Our results suggest that local inflammation, eATP release and sensing, and lung Trh cells together dictate the intensity of lung damage, regardless of the nature of the lung disease agent. R01AI170649

Abstract Atypical Teratoid/Rhabdoid Tumors (ATRTs) are malignant tumors of the central nervous system in children. They are almost universally characterized by genetic loss of SWI/SNF Related, Matrix Associated, Actin Dependent Regulator of Chromatin Subfamily member B1 (SMARCB1) - a core subunit of the ATP-dependent SWI/SNF chromatin remodeling complex, and dysregulation of lineage restricted enhancers. Here, we show that tumor subgroup-specific upregulation of a distant member of the transforming growth factor-β (TGF-β), bone morphogenic factor (BMF) family of proteins drives insensitivity to NK-mediated cytolysis in vitro and in vivo. Mechanistically, subgroup-specific loss of chromatin occupancy by the RE1 Silencing Transcription Factor (REST) to its consensus RE1 motif, allowed deposition of enhancer-specific histone H3 lysine4 (K4) mono-methylation and histone H3K27 acetylation marks to activate an enhancer-promoter interaction. Restoration of REST binding or BET-domain inhibition resulted in a significant reduction in the enhancer marks and enhancer-promoter interaction and involved histone H3K27me3 deposition at the REST binding site, to facilitate gene silencing and sensitization of ATRTs to NK-mediated cytolysis. Thus, our study has identified a novel function for REST as a modulator of tumor-intrinsic enhancer activity and tumor-extrinsic immune microenvironment. Of equal significance, we highlight a role of REST in recruiting the polycomb repressive complex-2 (PRC2) in gene silencing in ATRTs.

OBJECTIVE Chordomas are rare tumors from notochordal remnants and account for 1%–4% of all primary bone malignancies, often arising from the clivus and sacrum. Despite margin-negative resection and postoperative radiotherapy, chordomas often recur. Further, immunohistochemical (IHC) markers have not been assessed as predictive of chordoma recurrence. The authors aimed to identify the IHC markers that are predictive of postoperative long-term (≥ 1 year) chordoma recurrence by using trained multiple tree-based machine learning (ML) algorithms. METHODS The authors reviewed the records of patients who had undergone treatment for clival and spinal chordomas between January 2017 and June 2021 across the Mayo Clinic enterprise (Minnesota, Florida, and Arizona). Demographics, type of treatment, histopathology, and other relevant clinical factors were abstracted from each patient record. Decision tree and random forest classifiers were trained and tested to predict long-term recurrence based on unseen data using an 80/20 split. RESULTS One hundred fifty-one patients diagnosed and treated for chordomas were identified: 58 chordomas of the clivus, 48 chordomas of the mobile spine, and 45 chordomas sacrococcygeal in origin. Patients diagnosed with cervical chordomas were the oldest among all groups (58 ± 14 years, p = 0.009). Most patients were male (n = 91, 60.3%) and White (n = 139, 92.1%). Most patients underwent resection with or without radiation therapy (n = 129, 85.4%). Subtotal resection followed by radiation therapy (n = 51, 33.8%) was the most common treatment modality, followed by gross-total resection then radiation therapy (n = 43, 28.5%). Multivariate analysis showed that S100 and pan-cytokeratin are more likely to predict the increase in the risk of postoperative recurrence (OR 3.67, 95% CI 1.09–12.42, p= 0.03; and OR 3.74, 95% CI 0.05–2.21, p = 0.02, respectively). In the decision tree analysis, a clinical follow-up > 1897 days was found in 37% of encounters and a 90% chance of being classified for recurrence (accuracy = 77%). Random forest analysis (n = 500 trees) showed that patient age, type of surgical treatment, location of tumor, S100, pan-cytokeratin, and EMA are the factors predicting long-term recurrence. CONCLUSIONS The IHC and clinicopathological variables combined with tree-based ML tools successfully demonstrated a high capacity to identify recurrence patterns with an accuracy of 77%. S100, pan-cytokeratin, and EMA were the IHC drivers of recurrence. This shows the power of ML algorithms in analyzing and predicting outcomes of rare conditions of a small sample size.

The global burden of paediatric and congenital heart disease (PCHD) is substantial. We propose a novel public health framework with recommendations for developing effective and safe PCHD services in low-income and middle-income countries (LMICs). This framework was created by the Global Initiative for Children’s Surgery Cardiac Surgery working group in collaboration with a group of international rexperts in providing paediatric and congenital cardiac care to patients with CHD and rheumatic heart disease (RHD) in LMICs. Effective and safe PCHD care is inaccessible to many, and there is no consensus on the best approaches to provide meaningful access in resource-limited settings, where it is often needed the most. Considering the high inequity in access to care for CHD and RHD, we aimed to create an actionable framework for health practitioners, policy makers and patients that supports treatment and prevention. It was formulated based on rigorous evaluation of available guidelines and standards of care and builds on a consensus process about the competencies needed at each step of the care continuum. We recommend a tier-based framework for PCHD care integrated within existing health systems. Each level of care is expected to meet minimum benchmarks and ensure high-quality and family centred care. We propose that cardiac surgery capabilities should only be developed at the more advanced levels on hospitals that have an established foundation of cardiology and cardiac surgery services, including screening, diagnostics, inpatient and outpatient care, postoperative care and cardiac catheterisation. This approach requires a quality control system and close collaboration between the different levels of care to facilitate the journey and care of every child with heart disease. This effort was designed to guide readers and leaders in taking action, strengthening capacity, evaluating impact, advancing policy and engaging in partnerships to guide facilities providing PCHD care in LMICs.

Purpose: The Provisional Extension to Induce Complete Attachment Technique (PETTICOAT) uses a bare-metal stent to scaffold the true lumen in patients with acute or subacute aortic dissections. While it is designed to facilitate remodeling, some patients with chronic post-dissection thoracoabdominal aortic aneurysms (TAAAs) require repair. This study describes the technical pitfalls of fenestrated-branched endovascular aortic repair (FB-EVAR) in patients who underwent prior PETTICOAT repair. Technique: We report 3 patients with extent II TAAAs who had prior bare-metal dissection stents treated by FB-EVAR. Two patients required maneuvers to reroute the aortic guidewire, which was initially placed in-between stent struts. This was recognized before the deployment of the fenestrated-branched device. A third patient had difficult advancement of the celiac bridging stent due to a conflict of the tip of the stent delivery system into one of the stent struts, requiring to redo catheterization and pre-stenting with a balloon-expandable stent. There were no mortalities and target-related events after a follow-up of 12 to 27 months. Conclusion: FB-EVAR following the PETTICOAT is infrequent, but technical difficulties should be recognized to prevent complications from the inadvertent deployment of the fenestrated-branched stent-graft component in-between stent struts. Clinical Impact The present study highlights a few maneuvers to prevent or overcome possible complications during endovascular repair of chronic post-dissection thoracoabdominal aortic aneurysm following PETTICOAT. The main problem to be recognized is the placement of the aortic wire beyond one of the struts of the existing bare-metal stent. Moreover, encroachment of catheters or the bridging stent delivery system into the stent struts may potentially cause difficulties.

Background: The complex nature and heterogeneity involving pituitary surgery results have increased interest in machine learning (ML) applications for prediction of outcomes over the last decade. This study aims to systematically review the characteristics of ML models involving pituitary surgery outcome prediction and assess their reporting quality. Methods: We searched the PubMed, Scopus, and Web of Knowledge databases for publications on the use of ML to predict pituitary surgery outcomes. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) to assess report quality. Our search strategy was based on the terms “artificial intelligence”, “machine learning”, and “pituitary”. Results: 20 studies were included in this review. The principal models reported in each article were post-surgical endocrine outcomes (n = 10), tumor management (n = 3), and intra- and postoperative complications (n = 7). Overall, the included studies adhered to a median of 65% (IQR = 60–72%) of TRIPOD criteria, ranging from 43% to 83%. The median reported AUC was 0.84 (IQR = 0.80–0.91). The most popular algorithms were support vector machine (n = 5) and random forest (n = 5). Only two studies reported external validation and adherence to any reporting guideline. Calibration methods were not reported in 15 studies. No model achieved the phase of actual clinical applicability. Conclusion: Applications of ML in the prediction of pituitary outcomes are still nascent, as evidenced by the lack of any model validated for clinical practice. Although studies have demonstrated promising results, greater transparency in model development and reporting is needed to enable their use in clinical practice. Further adherence to reporting guidelines can help increase AI’s real-world utility and improve clinical practice.