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Artificial cranial deformation in Tiwanaku, Bolivia

Child s Nervous System · 2023-08-18 · 5 citations

PURPOSE: Herein lies a brief historical review of the practice of artificial cranial deformation (ACD) in Tiwanaku, Bolivia, a pre-Columbian archeological ruin once regarded as one of the most powerful pre-Inca regions whose influence extended into present-day Peru and Chile from 600 to 1000 AD. We describe the history, purpose, and implications of ACD from both a neuroanatomical and cultural perspective. METHODS: A literature review was conducted through PubMed on the history of artificial cranial deformation in South America, concentrating on the Tiwanaku region. The authors searched all available data with no specific time reference, using the mentioned keywords: ACD, neuroanatomical implications of ACD, cultural and social functions of ACD, Tiwanaku society, and Andean civilization. RESULTS: Early Andean civilization was hierarchical and stratified. In Tiwanaku, the practice of ACD served to delineate one's social class, caste, lineage, and vocation. This was especially useful for warriors, who distinguished their fellow combatants from insurgents by differences in their cranial structure. ACD was usually conducted within the first few months of an infant's life before morphogenetic features became permanent. Two popular cranial styles-tabular and annular-were achieved by applying various mechanical apparatus and resulted in several cranial shapes (conical, box-like, flattened, etc.). Neuroanatomically, each deformation technique and the duration for which mechanical stress was applied influenced the solidification of cranial bones and shaped the frontal, occipital, parietal, and temporal bones differently. Cognitive deficits and plagiocephalic defects were recorded in limitation and may have been overlooked as the era's occupational demands were more labor-intensive than knowledge-driven. CONCLUSION: In Tiwanaku, the custom of ACD was used to demonstrate group identity, with alterations of the cranial shape corresponding to a particular headdress. ACD was used to distinguish an individual's social identity, separating different groups of society into castes, classes, and slaves (Brain, 1979). The custom has also been used to mark territory and emphasize ethnic differences among groups, with potential cognitive implications that were largely unrecorded.

DIPG-49. A SYSTEMS BIOLOGY APPROACH TO DEFINING AND TARGETING CELL STATE-SPECIFIC MASTER REGULATOR DEPENDENCIES IN DIFFUSE MIDLINE GLIOMA

Neuro-Oncology · 2023 · 1 citations

• Cancer research
• Biology
• Computational biology

Abstract Diffuse Midline Glioma (DMG) are fatal pediatric brain tumors. We leveraged network-based methodologies to dissect the heterogeneity of DMG tumors and to discover Master Regulator (MR) proteins representing pharmacologically accessible, mechanistic determinants of molecularly distinct cell states. We produced a DMG regulatory network from 122 publicly available RNAseq profiles with ARACNe, and inferred sample-specific MR protein activity with VIPER. A CRISPR/Cas9 KO screen across 3 DMG patient cell lines identified a set of 73/77 essential genes that were enriched in the MR signature of 80% of patient samples (GSEA p=0.000034). FOXM1 emerged as an essential MR, significantly activated across virtually all patients. We then generated RNAseq profiles following perturbation with ~300 oncology drugs in 2 DMG cell lines most representative of patient MR signatures, and used this to identify drugs that invert patient MR activity profiles using the NYS/CA Dept.of Health approved OncoTreat algorithm. OncoTreat predicted sensitivity to HDAC, MEK, CDK, PI3K, and proteosome inhibitors in subsets of patients. 80%of OncoTreat-predicted drugs (p<10-5) from 3 DMG patient tumor biopsies showed in vitro sensitivity in cultured tumor cells from the respective patients, with overall 68% accuracy among 223 drugs evaluated by both OncoTreat and in vitro (Fisher’s Exact Test p=0.0449). Further analysis of DMG intra-tumor heterogeneity via protein activity inference from published scRNAseq profiles identified 6 tumor clusters with unique MR signatures representing distinct cellular states. Targetable MRs and OncoTreat-predicted drugs were distinct between these states. Bulk RNAseq analysis recapitulated predictions seen in the more prevalent Oligodendrocyte progenitor cell-like states, but failed to capture MR and drug predictions for the Astrocyte-like states. Ongoing validations of cell state-specific drug predictions in vivo in subcutaneous patient-derived xenograft and orthotopic syngeneic DMG models have already shown tumor volume and subpopulation differences (e.g. Trametinib-treated). This provides a platform to nominate much-needed novel drugs to treat DMG.

Abstract 4304: Network-based inference identifies cell state-specific drugs targeting master regulator vulnerabilities in diffuse midline glioma

Cancer Research · 2023 · 1 citations

• Computer Science
• Cancer research
• Medicine

Abstract Diffuse Midline Glioma (DMG) are fatal pediatric brain tumors with no therapies. We leveraged network-based methodologies to dissect the heterogeneity of DMG tumors and to discover Master Regulator (MR) proteins representing pharmacologically accessible, mechanistic determinants of molecularly distinct cell states. We produced the first DMG regulatory network from 122 publicly available RNAseq profiles with ARACNe (Basso et al. Nat Genet 2005), and inferred sample-specific MR protein activity with VIPER (Alvarez et al. Nat Genet 2016) based on the differential expression of their targets. 7 of the top 25 most active MRs found comprise a well-characterized MR block (MRB2) (Paull et al.Cell 2021), frequently activated across aggressive tumors, and enriched in DMG patient MR signatures (Fisher’s Exact Test p=4.4 × 10−18). A CRISPR/Cas9 KO screen across 3 DMG patient cell lines identified a set of 73/77 essential genes that were enriched in the MR signature of 80% of patient samples (GSEA p=0.000034). FOXM1 emerged as an essential MR, significantly activated across virtually all patients. We then generated RNAseq profiles following perturbation with ~300 oncology drugs in 2 DMG cell lines most representative of patient MR signatures, and used this to identify drugs that invert patient MR activity profiles using the NYS/CA Dept. of Health approved OncoTreat algorithm (Alvarez et al. Nat Genet 2018). OncoTreat predicted sensitivity to HDAC, MEK, CDK, PI3K, and proteosome inhibitors in subsets of patients, overlapping with published DMG drug screens. Importantly, 80% of OncoTreat-predicted drugs (p<10−5) from 3 DMG patient tumor biopsies showed in vitro sensitivity in cultured tumor cells from the respective patients, with overall 68% accuracy among 223 drugs evaluated by both OncoTreat and in vitro (Fisher’s Exact Test p=0.0449). Further analysis of DMG intra-tumor heterogeneity via protein activity inference across DMG single cells from 6 published scRNAseq profiles identified 6 tumor clusters with unique MR signatures co-existing in virtually all patients representing distinct cellular states (2 astrocyte-, 1 oligodendrocyte-, and 3 oligodendrocyte precursor cell-like states). Targetable MRs and OncoTreat-predicted drugs were distinct between these states. Bulk RNAseq analysis recapitulated predictions seen in the more prevalent OPC-like states, but failed to capture MR and drug predictions for the AC-like states (e.g. JAK1/Ruxolitinib and STAT3/Napabucasin). We are currently validating cell state-specific drug predictions in vivo at single-cell resolution in subcutaneous patient-derived xenograft and orthotopic syngeneic DMG models that we have shown recapitulate patient tumor heterogeneity, including with focused ultrasound-mediated drug delivery. This provides a platform to nominate much-needed novel drugs and drug combinations to treat DMG. Citation Format: Ester Calvo Fernandez, Junqiang Wang, Xu Zhang, Hong-Jian Wei, Hanna E. Minns, Aaron T. Griffin, Lukas Vlahos, Timothy J. Martins, Pamela S. Becker, John Crawford, Robyn D. Gartrell, Luca Szalontay, Stergios Zacharoulis, Zhiguo Zhang, Robert Wechsler-Reya, Cheng-Chia Wu, Andrea Califano, Jovana Pavisic. Network-based inference identifies cell state-specific drugs targeting master regulator vulnerabilities in diffuse midline glioma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4304.

Einleitung

2023-01-01

Barriers to Pediatric Epilepsy Care at Hospital Del Nino in La Paz, Bolivia, and Traditional-Medicine-Alternatives

2023-05-23

This article from the Journal of Neurology and Critical Care (Vol 2, JNCC2300101) discusses Barriers to Pediatric Epilepsy Care at Hospital Del Nino in La Paz, Bolivia, and Traditional-Medicine-Alternatives