Citations

Background: Despite the well-established potent benefit of mechanical thrombectomy (MT) for large vessel occlusion (LVO) stroke, access to MT has not been studied globally. We conducted a worldwide survey of countries on 6 continents to define MT access (MTA), the disparities in MTA, and its determinants on a global scale. Methods: Our survey was conducted in 75 countries through the Mission Thrombectomy 2020+ global network between November 22, 2020, and February 28, 2021. The primary end points were the current annual MTA, MT operator availability, and MT center availability. MTA was defined as the estimated proportion of patients with LVO receiving MT in a given region annually. The availability metrics were defined as ([current MT operators×50/current annual number of estimated thrombectomy-eligible LVOs]×100 = MT operator availability) and ([current MT centers×150/current annual number of estimated thrombectomy-eligible LVOs]×100= MT center availability). The metrics used optimal MT volume per operator as 50 and an optimal MT volume per center as 150. Multivariable-adjusted generalized linear models were used to evaluate factors associated with MTA. Results: We received 887 responses from 67 countries. The median global MTA was 2.79% (interquartile range, 0.70–11.74). MTA was <1.0% for 18 (27%) countries and 0 for 7 (10%) countries. There was a 460-fold disparity between the highest and lowest nonzero MTA regions and low-income countries had 88% lower MTA compared with high-income countries. The global MT operator availability was 16.5% of optimal and the MT center availability was 20.8% of optimal. On multivariable regression, country income level (low or lower–middle versus high: odds ratio, 0.08 [95% CI, 0.04–0.12]), MT operator availability (odds ratio, 3.35 [95% CI, 2.07–5.42]), MT center availability (odds ratio, 2.86 [95% CI, 1.84–4.48]), and presence of prehospital acute stroke bypass protocol (odds ratio, 4.00 [95% CI, 1.70–9.42]) were significantly associated with increased odds of MTA. Conclusions: Access to MT on a global level is extremely low, with enormous disparities between countries by income level. The significant determinants of MT access are the country’s per capita gross national income, prehospital LVO triage policy, and MT operator and center availability.

Abstract Background: Multifocal hepatocellular carcinoma (MF-HCC) accounts for >40% of HCCs, demonstrating a poor prognosis than single primary HCCs. Characterizing the dynamic changes of mutation signature along with clonal evolution, quantifying intrahepatic metastatic timing, and investigating the genetic structure in the preneoplastic stage underlying different subtypes of MF-HCC are important for understanding their molecular evolution and developing a precision management strategy. Methods: We conducted whole-exome sequencing in 74 tumor samples from spatially distinct regions in 35 resected tumor lesions and adjacent non-cancerous tissues in 11 patients with synchronous MF-HCCs, 15 histologically confirmed preneoplastic lesions and six samples from peripheral blood mononuclear cell. We also used the previously published MF-HCC cohorts (n=9) as an independent validation dataset. Results: We classified MF-HCCs into three subtypes, including intrahepatic metastasis, multicentric occurrence, and mixed intrahepatic metastasis and multicentric occurrence. The dynamic changes in mutation signatures between tumor subclonal expansions demonstrated varied etiologies underlying the clonal progression in different MF-HCC subtypes, especially the contribution of aristolochic acid exposure decreased along with subclonal expansions. The clonal evolution in intrahepatic metastasis exhibited an early metastatic seeding that occurred at 10-4–0.01 cm3 in primary tumor volume, below the limitation in clinical detection. These findings were validated in another independent cohort. In addition, for multicentric occurrence MF-HCC, mutational footprints in the preneoplastic lesions revealed common preneoplastic arising clones, evidently being ancestors of different tumor sites. Conclusion: Our study comprehensively characterized the dynamic mutational signature, early metastatic timing, and common preneoplastic clones in multicentric occurrence that characterized the varied tumor clonal evolutionary history underlying different subtypes of MF-HCC, and provided important implications for optimizing personalized clinical management for MF-HCC.

Sonic hedgehog signaling regulates processes of embryonic development across multiple tissues, yet factors regulating context-specific Shh signaling remain poorly understood. Exome sequencing of families with polymicrogyria (disordered cortical folding) revealed multiple individuals with biallelic deleterious variants in TMEM161B , which encodes a multi-pass transmembrane protein of unknown function. Tmem161b null mice demonstrated holoprosencephaly, craniofacial midline defects, eye defects, and spinal cord patterning changes consistent with impaired Shh signaling, but were without limb defects, suggesting a CNS-specific role of Tmem161b. Tmem161b depletion impaired the response to Smoothened activation in vitro and disrupted cortical histogenesis in vivo in both mouse and ferret models, including leading to abnormal gyration in the ferret model. Tmem161b localizes non-exclusively to the primary cilium, and scanning electron microscopy revealed shortened, dysmorphic, and ballooned ventricular zone cilia in the Tmem161b null mouse, suggesting that the Shh-related phenotypes may reflect ciliary dysfunction. Our data identify TMEM161B as a regulator of cerebral cortical gyration, as involved in primary ciliary structure, as a regulator of Shh signaling, and further implicate Shh signaling in human gyral development.

Colorectal cancer (CRC) is one of the most common cancers, and it frequently metastasizes to the liver and lymph nodes. Despite major advances in treatment modalities, CRC remains a poorly characterized biological malignancy, with high reported cases of deaths globally. Moreover, cancer stem cells (CSCs) and their microenvironment have been widely shown to promote colon cancer development, progression, and metastasis. Therefore, an understanding of the underlying mechanisms that contribute to the maintenance of CSCs and their markers in CRC is crucial in efforts to treat cancer metastasis and develop specific therapeutic targets for augmenting current standard treatments. Herein, we applied computational simulations using bioinformatics to identify potential theranostic markers for CRC. We identified the overexpression of vascular endothelial growth factor-α (VEGFA)/β-catenin/matrix metalloproteinase (MMP)-7/Cluster of Differentiation 44 (CD44) in CRC to be associated with cancer progression, stemness, resistance to therapy, metastasis, and poor clinical outcomes. To further investigate, we explored in silico molecular docking, which revealed potential inhibitory activities of LCC-21 as a potential multitarget small molecule for VEGF-A/CTNNB1/MMP7/CD44 oncogenic signatures, with the highest binding affinities displayed. We validated these finding in vitro and demonstrated that LCC-21 inhibited colony and sphere formation, migration, and invasion, and these results were further confirmed by a Western blot analysis in HCT116 and DLD-1 cells. Thus, the inhibitory effects of LCC-21 on these angiogenic and onco-immunogenic signatures could be of translational relevance as potential CRC biomarkers for early diagnosis.

AbstractBackgroundGenetic risk in common variants have been identified for Progressive Supranuclear Palsy (PSP), but common variants only account for a portion of disease heritability. A proportion of the remaining disease heritability is likely contributed by rare variants identifiable via sequencing. Leveraging whole‐genome sequencing of 1719 PSP cases and 2940 controls from the Alzheimer’s Disease Sequencing Project, we detected single nucleotide variants (SNVs), insertion/deletions (INDELs), and copy number variants (CNVs). Note that all samples are non‐Hispanic whites with identity by descent (IBD) >0.25, and no outlier is >6 standard deviation in the principal component analysis. We conducted association analysis for variants, genes and gene sets to identify rare genetic risk for PSP.MethodAfter quality control (variants and genotypes notated PASS by the calling algorithms), we detected 85,228,234 rare SNVs/INDELs and 163,987 rare CNVs (minor allele frequency (MAF) < 1%). For rare SNVs/INDELs, the Sequence Kernel Association Test Optimized was performed to identify rare genetic PSP risk from protein truncating variants (PTV) and damaging missense variants (MAF<0.01%) in both protein coding genes and gene sets that were previously associated with PSP based on protein co‐expression networks. For rare CNVs, a permutation‐based association test implemented in Plink was performed to identify CNVs associated with PSP.ResultCombining protein truncating variants (PTV) and damaging missense variants, we identified one genome‐wide significant gene, FBXO38 (FDR = 0.0003, OR = 1.78). We also found enrichment of PTVs and damaging missense variants in genes comprising the C2 module, a neuronal module previously identified in post mortem PSP brain (FDR = 0.0016). For CNV analysis, there were 17 significant deletions and 2 significant duplications that were associated with PSP (Padjust < 0.05). The deletion (18:58488230‐58488489) in ALPK2, which has been identified as an Alzheimer’s Disease risk gene, was the only CNV that conferred a higher‐risk for PSP. Particularly, one deletion (17:46009357‐46009595) was in linkage disequilibrium with MAPT H2 haplotype which has been associated various neurodegenerative diseases including PSP.ConclusionWe identified several new genes and a protein co‐expression network in which risk variants were associated with PSP. These genes and pathways provide potential candidate drug targets for future investigation.

Abstract The external globus pallidus (GPe) guides action selection. However, it remains elusive how diverse GPe cells engage in routine formation while learning action sequences in repetitive reward-seeking conditioning. Here, we investigated the Ca2+ signals of GPe cells during routine formation. We found that the dynamics of astrocytes and prototypic neurons’ activities are associated with the refinement of the action sequence, which enables cost-effective reward-seeking.

Despite the global COVID-19 pandemic, during the past 2 years, there have been numerous advances in our understanding of arrhythmia mechanisms and diagnosis and in new therapies. We increased our understanding of risk factors and mechanisms of atrial arrhythmias, the prediction of atrial arrhythmias, response to treatment, and outcomes using machine learning and artificial intelligence. There have been new technologies and techniques for atrial fibrillation ablation, including pulsed field ablation. There have been new randomized trials in atrial fibrillation ablation, giving insight about rhythm control, and long-term outcomes. There have been advances in our understanding of treatment of inherited disorders such as catecholaminergic polymorphic ventricular tachycardia. We have gained new insights into the recurrence of ventricular arrhythmias in the setting of various conditions such as myocarditis and inherited cardiomyopathic disorders. Novel computational approaches may help predict occurrence of ventricular arrhythmias and localize arrhythmias to guide ablation. There are further advances in our understanding of noninvasive radiotherapy. We have increased our understanding of the role of His bundle pacing and left bundle branch area pacing to maintain synchronous ventricular activation. There have also been significant advances in the defibrillators, cardiac resynchronization therapy, remote monitoring, and infection prevention. There have been advances in our understanding of the pathways and mechanisms involved in atrial and ventricular arrhythmogenesis.

Abstract The external globus pallidus (GPe) coordinates action-selection through GABAergic projections throughout the basal ganglia. GPe arkypallidal (arky) neurons project exclusively to the dorsal striatum, which regulates goal-directed and habitual reward-seeking. However, the role of GPe arky neurons in reward-seeking remains unknown. Here, we identified that a majority of arky neurons target the dorsolateral striatum (DLS). Using fiber photometry, we found that arky activities were higher during random interval (RI; habit) compared to random ratio (RR; goal) operant reward-seeking. Support vector machine analysis demonstrated that arky neuron activities have sufficient information to distinguish between RR and RI behavior. Genetic ablation of this arkyGPe◊DLS circuit facilitated a shift from goal-directed to habitual behavior. Conversely, chemogenetic activation reduced habitual seeking-behaviors, which was blocked by systemic D1R agonism. Our findings reveal a novel role of this arkyGPe◊DLS circuit in constraining habitual reward-seeking, which is relevant to addictive behaviors and other compulsive disorders.

Abstract BACKGROUND Interpretation of serial magnetic resonance imaging (MRI) for glioblastoma following radiation therapy (RT) is complicated by difficulty differentiating tumor from treatment-related changes, even using updated RANO criteria. The incorporation of novel imaging such as 3,4-dihydroxy-6-[18F]-fluoro-L-phenylalanine (18F-DOPA) PET/CT to post-treatment serial imaging may improve prognostication and better facilitate future treatment decisions. METHODS The secondary analysis of a recent phase II prospective clinical trial of 18F-DOPA PET/CT-directed dose-escalated RT included patients with IDH-wildtype, MGMT-unmethylated glioblastoma who underwent post-treatment serial 18F-DOPA PET/CT surveillance. Quantitative features were extracted from pre-RT and post-RT serial PET/CT images, and robust prognostic features were selected using an in-house workflow. Both an automated machine learning (ML) algorithm and an interpretable ML algorithm were utilized to correlate surveillance PET image features with subsequent survival of greater than 12 months versus less than 12 months from the surveillance timepoint. Changes from pre-RT to post-RT PET/CT (delta model) were also assessed for association with post-RT survival and validated with a separate cohort. RESULTS Thirty-five patients with IDH-wildtype, MGMT-unmethylated glioblastoma who had at least one available (range: 1-14) post-treatment 18F-DOPA PET/CT were included. Twenty-four were used for model training, while 11 were used for validation. Ultimately, a five-feature post-RT model utilizing two shape, two texture, and one first-order radiomic feature was selected. For the delta model, five texture, two shape, and one first order radiomic feature were selected. The models show 90% accuracy in predicting survival &lt; 12 months post-surveillance on the training set, and 68%-73% accuracy (AUC 0.64-0.73) for the validation cohort. Delta features were significantly associated with overall survival (p &lt; 0.05). CONCLUSIONS Post-RT serial 18F-DOPA PET/CT imaging can help distinguish true tumor progression in patients with glioblastoma using a radiomics model. Tumor response evaluated for changes from pre-RT to post-RT 18F-DOPA PET/CT also predicted subsequent overall survival.