Enhanced virulence and neuroinvasion of contemporary <i>Oropouche</i> virus strains in the AG129 mouse model.
The 1 match
- [1] § Materials and methods › Production of viral stock and titration › OROV strains ↔ python-package/geobr/read_capitals.py, lines 1 to 38 · score 0.66 · Bras lia, Santa Catarina, Bel, Par, Acre, Sul · Report a mismatch
Paper
Loaded from Europe PMC by your browser; OSCR does not store it: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
Python · 69 lines · 2.2 KB · no license · 1 match
- """Download data of Brazilian state capitals."""
- from __future__ import annotations
- import pandas as pd
- from geobr.read_municipal_seat import read_municipal_seat
- from geobr._docstrings import docparams
- _CAPITALS = pd.DataFrame(
- {
- "name_muni": [
- "São Paulo", "Rio de Janeiro", "Belo Horizonte", "Salvador", "Fortaleza",
- "Vitória", "Goiânia", "Cuiabá", "São Luís", "Teresina", "Recife", "Aracaju",
- "João Pessoa", "Natal", "Maceió", "Porto Alegre", "Curitiba", "Florianópolis",
- "Belém", "Manaus", "Palmas", "Campo Grande", "Macapá", "Rio Branco",
- "Boa Vista", "Brasília", "Porto Velho",
- ],
- "code_muni": [
- 3550308, 3304557, 3106200, 2927408, 2304400, 3205309, 5208707, 5103403,
- 2111300, 2211001, 2611606, 2800308, 2507507, 2408102, 2704302, 4314902,
- 4106902, 4205407, 1501402, 1302603, 1721000, 5002704, 1600303, 1200401,
- 1400100, 5300108, 1100205,
- ],
- "name_state": [
- "São Paulo", "Rio de Janeiro", "Minas Gerais", "Bahia", "Ceará",
- "Espírito Santo", "Goiás", "Mato Grosso", "Maranhão", "Piauí", "Pernambuco",
- "Sergipe", "Paraíba", "Rio Grande do Norte", "Alagoas", "Rio Grande do Sul",
- "Paraná", "Santa Catarina", "Pará", "Amazonas", "Tocantins",
- "Mato Grosso do Sul", "Amapá", "Acre", "Roraima", "Distrito Federal",
- "Rondônia",
- ],
- "code_state": [
- 35, 33, 31, 29, 23, 32, 52, 51, 21, 22, 26, 28, 25, 24, 27, 43, 41, 42,
- 15, 13, 17, 50, 16, 12, 14, 53, 11,
- ],
- }
- ).sort_values("code_muni")
- @docparams
- def read_capitals(
- year: int = 2010,
- output: str = "gpd",
- show_progress: bool = True,
- cache: bool = True,
- verbose: bool = False,
- ):
- """Download spatial or tabular data for the 27 state capitals.
- Parameters
- ----------
- {year}
- {output}
- {show_progress}
- {cache}
- {verbose}
- """
- codes = _CAPITALS["code_muni"].tolist()
- return read_municipal_seat(
- year=year,
- code_muni=codes,
- output=output,
- show_progress=show_progress,
- cache=cache,
- verbose=verbose
- )
read_capitals.py at commit 0969f92, no license · at the source
Overview
and 7 other authors
Felipe C. M. Iani5, Keldenn M. F. Moreno1,4,5, João P. P. de Almeida2, Luiz Alcantara1,5, Marta Giovanetti1,6,7, Fabíola Mara Ribeiro2, Álvaro G. A. Ferreira1- Mosquitos Vetores, Endossimbiontes e Interação Patógeno-Vetor, Instituto René Rachou-Fiocruz, Belo Horizonte, Brazil
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Departamento de Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Fundação Ezequiel Dias, Belo Horizonte, Brazil
- Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Department of Science and Bio-Technology, Universita Campus Bio-Medico di Roma, Rome, Italy
Abstract
Oropouche virus (OROV) is an orthobunyavirus undergoing dramatic re-emergence and rapid geographic expansion across Central and South America, coinciding with the emergence of reassortant lineages carrying novel segment combinations and adaptive mutations. Despite extensive genomic and epidemiological characterization, the biological mechanisms driving OROV resurgence during 2023–2024 remain unclear. Here, we show that contemporary reassortant OROV isolates exhibit markedly enhanced virulence in the AG129 mouse model compared with the historical prototype strain OROVBeAn19991. Two reassortant 2024 isolates—OROVSC2024 from a non-Amazonian region and OROVAC2024 from the Amazon Basin—produced significantly higher viremia, accelerated disease progression, and increased mortality. These isolates disseminated widely, generating substantially elevated viral loads across multiple organs, including the spleen, kidney, liver, lung, uterus, and testes, and—most notably—demonstrated a heightened capacity for the brain. Infection with contemporary reassortant lineages also induced pro-inflammatory responses, characterized by consistent upregulation of IL-1β across tissues. Together, these findings provide experimental evidence that ongoing viral evolution is likely driving a measurable increase in OROV pathogenicity, providing a biological framework to better understand the increased severity of clinical cases reported in recent outbreaks. This work underscores the urgent need for enhanced surveillance, real-time genomic monitoring, and development of targeted countermeasures against this rapidly spreading arbovirus.
Reproduced under the paper's license (CC BY), from the paper cited above.
Repository
Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.
ipeaGIT/geobr
0969f9279275d28b0e9f2f4fa0e21169a6033854, 27 September 2026Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
232 files
- .claude/
scripts/ , Shell, 85 linesstatusline.sh - docs/
articles/ , JavaScript, 15 linesintro_to_geobr_files/ accessible-code-block-0. 0.1/ empty-anchor.js - docs/
articles/ , JavaScript, 33 linesintro_to_geobr_files/ anchor-sections-1.0/ anchor-sections.js - docs/
articles/ , JavaScript, 12 linesintro_to_geobr_files/ header-attrs-2.6/ header-attrs.js - docs/
articles/ , JavaScript, 12 linesintro_to_geobr_files/ header-attrs-2.7/ header-attrs.js - docs/
articles/ , JavaScript, 15 linespython-intro/ py-intro-to-geobr_files/ accessible-code-block-0. 0.1/ empty-anchor.js - docs/
articles/ , JavaScript, 33 linespython-intro/ py-intro-to-geobr_files/ anchor-sections-1.0/ anchor-sections.js - docs/
articles/ , JavaScript, 12 linespython-intro/ py-intro-to-geobr_files/ header-attrs-2.6/ header-attrs.js - docs/
articles/ , JavaScript, 12 linespython-intro/ py-intro-to-geobr_files/ header-attrs-2.7/ header-attrs.js - docs/
bootstrap-toc.js , JavaScript, 159 lines - docs/
docsearch.js , JavaScript, 85 lines - docs/
pkgdown.js , JavaScript, 108 lines - docs/
reference/ , R, 206 linesfigures/ geobr_hexsticker.R - python-package/
examples/ , Jupyter, 160 lines1. intro-to-geobr.ipynb - python-package/
examples/ , Jupyter, 41 lines2. Plotting geobr logo.ipynb - python-package/
examples/ , Jupyter, 108 lines3. What is the furthest place from a health facility.ipynb - python-package/
examples/ , Jupyter, 50 linesduckdb_demo.ipynb - python-package/
geobr/ , Python, 91 lines__init__.py - python-package/
geobr/ , Python, 66 lines_cache.py - python-package/
geobr/ , Python, 238 lines_docstrings.py - python-package/
geobr/ , Python, 640 lines_duckdb_backend.py - python-package/
geobr/ , Python, 107 lines_filter.py - python-package/
geobr/ , Python, 56 lines_output.py - python-package/
geobr/ , Python, 62 linescep_to_state.py - python-package/
geobr/ , Python, 13 linesconstants.py - python-package/
geobr/ , Python, 15 linesgrid_state_correspondenc e_table.py - python-package/
geobr/ , Python, 92 lineslist_geobr.py - python-package/
geobr/ , Python, 101 lineslookup_muni.py - python-package/
geobr/ , Python, 51 linesread_addresses.py - python-package/
geobr/ , Python, 34 linesread_amazon.py - python-package/
geobr/ , Python, 35 linesread_biomes.py - python-package/
geobr/ , Python, 69 lines, 1 matchread_capitals.py - python-package/
geobr/ , Python, 52 linesread_census_tract.py - python-package/
geobr/ , Python, 86 linesread_comparable_areas.py - python-package/
geobr/ , Python, 34 linesread_conservation_units. py - python-package/
geobr/ , Python, 35 linesread_country.py - python-package/
geobr/ , Python, 37 linesread_disaster_risk_area. py - python-package/
geobr/ , Python, 39 linesread_favela.py - python-package/
geobr/ , Python, 35 linesread_health_facilities.p y - python-package/
geobr/ , Python, 103 linesread_health_region.py - python-package/
geobr/ , Python, 43 linesread_immediate_region.py - python-package/
geobr/ , Python, 37 linesread_indigenous_land.py - python-package/
geobr/ , Python, 43 linesread_intermediate_region .py - python-package/
geobr/ , Python, 40 linesread_meso_region.py - python-package/
geobr/ , Python, 37 linesread_metro_area.py - python-package/
geobr/ , Python, 40 linesread_micro_region.py - python-package/
geobr/ , Python, 41 linesread_municipal_seat.py - python-package/
geobr/ , Python, 55 linesread_municipality.py - python-package/
geobr/ , Python, 37 linesread_neighborhood.py - python-package/
geobr/ , Python, 53 linesread_polling_places.py - python-package/
geobr/ , Python, 47 linesread_pop_arrangements.py - python-package/
geobr/ , Python, 39 linesread_quilombola_land.py - python-package/
geobr/ , Python, 35 linesread_region.py - python-package/
geobr/ , Python, 35 linesread_schools.py - python-package/
geobr/ , Python, 34 linesread_semiarid.py - python-package/
geobr/ , Python, 38 linesread_state.py - python-package/
geobr/ , Python, 36 linesread_statistical_grid.py - python-package/
geobr/ , Python, 43 linesread_urban_area.py - python-package/
geobr/ , Python, 37 linesread_urban_concentration s.py - python-package/
geobr/ , Python, 39 linesread_weighting_area.py - python-package/
geobr/ , Python, 40 linesremove_islands.py - python-package/
geobr/ , Python, 581 linesutils.py - python-package/
helpers/ , Python, 11 linesdiff_packages.py - python-package/
helpers/ , Python, 42 linestemplate/ function.py - python-package/
helpers/ , Python, 11 linestemplate/ test.py - python-package/
helpers/ , Python, 79 linestranslate_from_R.py - python-package/
tests/ , Python, 1 line__init__.py - python-package/
tests/ , Python, 96 linesconftest.py - python-package/
tests/ , Python, 34 linestest_cep_to_state.py - python-package/
tests/ , Python, 91 linestest_docstrings.py - python-package/
tests/ , Python, 187 linestest_duckdb_auto_resolve .py - python-package/
tests/ , Python, 30 linestest_duckdb_auto_resolve _errors.py - python-package/
tests/ , Python, 109 linestest_duckdb_failure_logg ing.py - python-package/
tests/ , Python, 36 linestest_duckdb_geo.py - python-package/
tests/ , Python, 40 linestest_duckdb_join.py - python-package/
tests/ , Python, 113 linestest_duckdb_network.py - python-package/
tests/ , Python, 39 linestest_duckdb_session.py - python-package/
tests/ , Python, 23 linestest_duckdb_to_geopandas .py - python-package/
tests/ , Python, 40 linestest_filter.py - python-package/
tests/ , Python, 54 linestest_filter_params.py - python-package/
tests/ , Python, 8 linestest_grid_state_correspo ndence_table.py - python-package/
tests/ , Python, 17 linestest_list_geobr.py - python-package/
tests/ , Python, 112 linestest_lookup_muni.py - python-package/
tests/ , Python, 48 linestest_output.py - python-package/
tests/ , Python, 108 linestest_point_geographies.p y - python-package/
tests/ , Python, 56 linestest_point_reader_signat ures.py - python-package/
tests/ , Python, 79 linestest_read_addresses.py - python-package/
tests/ , Python, 13 linestest_read_amazon.py - python-package/
tests/ , Python, 12 linestest_read_biomes.py - python-package/
tests/ , Python, 39 linestest_read_capitals.py - python-package/
tests/ , Python, 27 linestest_read_census_tract.p y - python-package/
tests/ , Python, 14 linestest_read_comparable_are as.py - python-package/
tests/ , Python, 13 linestest_read_conservation_u nits.py - python-package/
tests/ , Python, 14 linestest_read_country.py - python-package/
tests/ , Python, 13 linestest_read_disaster_risk_ area.py - python-package/
tests/ , Python, 13 linestest_read_favela.py - python-package/
tests/ , Python, 294 linestest_read_filter_parquet _relation.py - python-package/
tests/ , Python, 108 linestest_read_geobr_hybrid.p y - python-package/
tests/ , Python, 13 linestest_read_health_facilit ies.py - python-package/
tests/ , Python, 33 linestest_read_health_region. py - python-package/
tests/ , Python, 18 linestest_read_immediate_regi on.py - python-package/
tests/ , Python, 13 linestest_read_indigenous_lan d.py - python-package/
tests/ , Python, 14 linestest_read_intermediate_r egion.py - python-package/
tests/ , Python, 14 linestest_read_meso_region.py - python-package/
tests/ , Python, 13 linestest_read_metro_area.py - python-package/
tests/ , Python, 14 linestest_read_micro_region.p y - python-package/
tests/ , Python, 13 linestest_read_municipal_seat .py - python-package/
tests/ , Python, 14 linestest_read_municipality.p y - python-package/
tests/ , Python, 13 linestest_read_neighborhood.p y - python-package/
tests/ , Python, 13 linestest_read_polling_places .py - python-package/
tests/ , Python, 13 linestest_read_pop_arrangemen ts.py - python-package/
tests/ , Python, 13 linestest_read_quilombola_lan d.py - python-package/
tests/ , Python, 13 linestest_read_region.py - python-package/
tests/ , Python, 12 linestest_read_schools.py - python-package/
tests/ , Python, 13 linestest_read_semiarid.py - python-package/
tests/ , Python, 15 linestest_read_state.py - python-package/
tests/ , Python, 13 linestest_read_statistical_gr id.py - python-package/
tests/ , Python, 13 linestest_read_urban_area.py - python-package/
tests/ , Python, 14 linestest_read_urban_concentr ations.py - python-package/
tests/ , Python, 14 linestest_read_weighting_area .py - python-package/
tests/ , Python, 90 linestest_reader_argument_ord er.py - python-package/
tests/ , Python, 30 linestest_remove_islands.py - python-package/
tests/ , Python, 45 linestest_url_solver_failures .py - python-package/
tests/ , Python, 165 linestest_utils.py - python-package/
tests/ , Python, 166 linestest_utils_v2.py - qgis-plugin/
build_plugin.py , Python, 122 lines - qgis-plugin/
geobr_qgis/ , Python, 141 lines__init__.py - qgis-plugin/
geobr_qgis/ , Python, 570 linesalgorithm.py - qgis-plugin/
geobr_qgis/ , Python, 470 linesdiscovery.py - qgis-plugin/
geobr_qgis/ , Python, 38 linesprovider.py - qgis-plugin/
tests/ , Python, 45 linesconftest.py - qgis-plugin/
tests/ , Python, 408 linestest_discovery.py - qgis-plugin/
tests/ , Python, 134 linestest_packaging.py - r-package/
R/ , R, 76 linescep_to_state.R - r-package/
R/ , R, 55 linesgeobr.R - r-package/
R/ , R, 20 linesgrid_state_correspondenc e_table.R - r-package/
R/ , R, 201 lineslist_geobr.R - r-package/
R/ , R, 169 lineslookup_muni.R - r-package/
R/ , R, 24 linesonLoad.R - r-package/
R/ , R, 99 linesread_addresses.R - r-package/
R/ , R, 55 linesread_amazon.R - r-package/
R/ , R, 54 linesread_biomes.R - r-package/
R/ , R, 162 linesread_capitals.R - r-package/
R/ , R, 100 linesread_census_tract.R - r-package/
R/ , R, 78 linesread_comparable_areas.R - r-package/
R/ , R, 56 linesread_conservation_units. R - r-package/
R/ , R, 56 linesread_country.R - r-package/
R/ , R, 73 linesread_disaster_risk_area. R - r-package/
R/ , R, 68 linesread_favelas.R - r-package/
R/ , R, 78 linesread_health_facilities.R - r-package/
R/ , R, 135 linesread_health_region.R - r-package/
R/ , R, 73 linesread_immediate_region.R - r-package/
R/ , R, 64 linesread_indigenous_land.R - r-package/
R/ , R, 74 linesread_intermediate_region .R - r-package/
R/ , R, 70 linesread_meso_region.R - r-package/
R/ , R, 68 linesread_metro_area.R - r-package/
R/ , R, 70 linesread_micro_region.R - r-package/
R/ , R, 60 linesread_municipal_seat.R - r-package/
R/ , R, 85 linesread_municipality.R - r-package/
R/ , R, 72 linesread_neighborhood.R - r-package/
R/ , R, 84 linesread_polling_places.R - r-package/
R/ , R, 64 linesread_pop_arrangements.R - r-package/
R/ , R, 86 linesread_quilombos.R - r-package/
R/ , R, 53 linesread_region.R - r-package/
R/ , R, 83 linesread_schools.R - r-package/
R/ , R, 57 linesread_semiarid.R - r-package/
R/ , R, 66 linesread_state.R - r-package/
R/ , R, 75 linesread_statistical_grid.R - r-package/
R/ , R, 62 linesread_urban_area.R - r-package/
R/ , R, 65 linesread_urban_concentration s.R - r-package/
R/ , R, 87 linesread_weighting_area.R - r-package/
R/ , R, 67 linesremove_islands.R - r-package/
R/ , R, 467 linesutils.R - r-package/
README.Rmd , R, 228 lines - r-package/
man/ , R, 206 linesfigures/ geobr_hexsticker.R - r-package/
man/ , R, 5 linesroxygen/ templates/ cache.R - r-package/
man/ , R, 6 linesroxygen/ templates/ code_muni.R - r-package/
man/ , R, 3 linesroxygen/ templates/ code_state.R - r-package/
man/ , R, 1 lineroxygen/ templates/ date.R - r-package/
man/ , R, 6 linesroxygen/ templates/ output.R - r-package/
man/ , R, 1 lineroxygen/ templates/ showProgress.R - r-package/
man/ , R, 6 linesroxygen/ templates/ simplified.R - r-package/
man/ , R, 3 linesroxygen/ templates/ verbose.R - r-package/
man/ , R, 1 lineroxygen/ templates/ year.R - r-package/
tests/ , R, 82 linestests_rafa/ create_br_buffer_to_remo ve_islands.R - r-package/
tests/ , R, 352 linestests_rafa/ long_term_cache.R - r-package/
tests/ , R, 59 linestests_rafa/ pop_near_hospt.R - r-package/
tests/ , R, 453 linestests_rafa/ test_rafa.R - r-package/
tests/ , R, 229 linestests_rafa/ tests_data_formats.R - r-package/
tests/ , R, 10 linestestthat.R - r-package/
tests/ , R, 36 linestestthat/ test-cep_to_state.R - r-package/
tests/ , R, 171 linestestthat/ test-download_fallback.R - r-package/
tests/ , R, 26 linestestthat/ test-download_metadata.R - r-package/
tests/ , R, 22 linestestthat/ test-grid_state_correspo ndence_table.R - r-package/
tests/ , R, 49 linestestthat/ test-list_geobr.R - r-package/
tests/ , R, 57 linestestthat/ test-lookup_muni.R - r-package/
tests/ , R, 46 linestestthat/ test-read_addresses.R - r-package/
tests/ , R, 37 linestestthat/ test-read_amazon.R - r-package/
tests/ , R, 40 linestestthat/ test-read_biomes.R - r-package/
tests/ , R, 39 linestestthat/ test-read_capitals.R - r-package/
tests/ , R, 48 linestestthat/ test-read_census_tract.R - r-package/
tests/ , R, 38 linestestthat/ test-read_comparable_are as.R - r-package/
tests/ , R, 28 linestestthat/ test-read_conservation_u nits.R - r-package/
tests/ , R, 37 linestestthat/ test-read_country.R - r-package/
tests/ , R, 37 linestestthat/ test-read_disaster_risk_ area.R - r-package/
tests/ , R, 45 linestestthat/ test-read_favela.R - r-package/
tests/ , R, 51 linestestthat/ test-read_health_facilit ies.R - r-package/
tests/ , R, 58 linestestthat/ test-read_health_region. R - r-package/
tests/ , R, 37 linestestthat/ test-read_immediate_regi on.R - r-package/
tests/ , R, 32 linestestthat/ test-read_indigenous_lan ds.R - r-package/
tests/ , R, 39 linestestthat/ test-read_intermediate_r egion.R - r-package/
tests/ , R, 43 linestestthat/ test-read_meso_region.R - r-package/
tests/ , R, 51 linestestthat/ test-read_metro_area.R - r-package/
tests/ , R, 36 linestestthat/ test-read_micro_region.R - r-package/
tests/ , R, 27 linestestthat/ test-read_municipal_seat .R - r-package/
tests/ , R, 83 linestestthat/ test-read_municipality.R - r-package/
tests/ , R, 37 linestestthat/ test-read_neighborhood.R - r-package/
tests/ , R, 51 linestestthat/ test-read_polling_places .R - r-package/
tests/ , R, 31 linestestthat/ test-read_pop_arrangemen ts.R - r-package/
tests/ , R, 32 linestestthat/ test-read_quilombola_lan ds.R - r-package/
tests/ , R, 41 linestestthat/ test-read_region.R - r-package/
tests/ , R, 33 linestestthat/ test-read_schools.R - r-package/
tests/ , R, 41 linestestthat/ test-read_semiarid.R - r-package/
tests/ , R, 64 linestestthat/ test-read_state.R - r-package/
tests/ , R, 53 linestestthat/ test-read_statistical_gr id.R - r-package/
tests/ , R, 51 linestestthat/ test-read_urban_area.R - r-package/
tests/ , R, 32 linestestthat/ test-read_urban_concentr ations.R - r-package/
tests/ , R, 36 linestestthat/ test-read_weighting_area .R - r-package/
tests/ , R, 46 linestestthat/ test-remove_islands.R - r-package/
vignettes/ , R, 312 linesintro_to_geobr.Rmd - r-package/
vignettes/ , R, 243 linespython-intro/ py-intro-to-geobr.Rmd - README.md, Text, 256 lines
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 231 scripts, each with its path and the digest of its content;
- 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
No dataset and no data link were found in the paper.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 2, 28 September 2026
- Funding: added Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico: NNF24OC0094346; Novo Nordisk: NNF24OC0094346; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Fundação Oswaldo Cruz; Universidade Federal de Minas Gerais; National Institutes of Health; National Institute of Allergy and Infectious Diseases
Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 27 authors, 7 keywords, 59 references.
Cite
This paper
Nobre Santos, E. C., Costa Silva, N., Godoy Rodrigues Pinto, L., Pontes Santos, L. G., da Silva Brandi Oliveira, J., Teixeira Goulart, M., Neves Rocha, M., de Faria, I. J. d. S., de Souza, R. P., de Mendonça, S. F., Baldon, L., Todjiro, Y. M. H., de Freitas, A. C., Moreira, R. L., Rodrigues, M. E. C., Amadou, S., Fernandes, J. M. G., Guimarães, N. R., Adelino, T. E. R., . . . Ferreira, Á. G. A. (2026). Enhanced virulence and neuroinvasion of contemporary &
BibTeX
@article{nobresantos2026
author = {Nobre Santos, Ellen Caroline and Costa Silva, Nathália and Godoy Rodrigues Pinto, Luiza and Pontes Santos, Luiz Gustavo and da Silva Brandi Oliveira, Juliana and Teixeira Goulart, Melissa and Neves Rocha, Marcele and de Faria, Isaque João da Silva and de Souza, Renan Pedra and de Mendonça, Silvana F. and Baldon, Livia and Todjiro, Yaovi M. H. and de Freitas, Amanda C. and Moreira, Rafaela L. and Rodrigues, Maria E. C. and Amadou, Siad and Fernandes, José M. G. and Guimarães, Natália R. and Adelino, Talita E. R. and dos Santos, Sara C. F. and Iani, Felipe C. M. and Moreno, Keldenn M. F. and de Almeida, João P. P. and Alcantara, Luiz and Giovanetti, Marta and Ribeiro, Fabíola Mara and Ferreira, Álvaro G. A.},
title = {{Enhanced virulence and neuroinvasion of contemporary \&
journal = {Frontiers in microbiology},
year = {2026},
month = may,
volume = {17},
pages = {1771021},
publisher = {Frontiers Media SA},
issn = {1664-302X},
doi = {10.3389/
url = {https://
pmid = {42238877},
pmcid = {PMC13226609}
}
RIS
TY - JOUR
AU - Nobre Santos, Ellen Caroline
AU - Costa Silva, Nathália
AU - Godoy Rodrigues Pinto, Luiza
AU - Pontes Santos, Luiz Gustavo
AU - da Silva Brandi Oliveira, Juliana
AU - Teixeira Goulart, Melissa
AU - Neves Rocha, Marcele
AU - de Faria, Isaque João da Silva
AU - de Souza, Renan Pedra
AU - de Mendonça, Silvana F.
AU - Baldon, Livia
AU - Todjiro, Yaovi M. H.
AU - de Freitas, Amanda C.
AU - Moreira, Rafaela L.
AU - Rodrigues, Maria E. C.
AU - Amadou, Siad
AU - Fernandes, José M. G.
AU - Guimarães, Natália R.
AU - Adelino, Talita E. R.
AU - dos Santos, Sara C. F.
AU - Iani, Felipe C. M.
AU - Moreno, Keldenn M. F.
AU - de Almeida, João P. P.
AU - Alcantara, Luiz
AU - Giovanetti, Marta
AU - Ribeiro, Fabíola Mara
AU - Ferreira, Álvaro G. A.
TI - Enhanced virulence and neuroinvasion of contemporary &
T2 - Frontiers in microbiology
J2 - Front Microbiol
PY - 2026
DA - 2026/
VL - 17
SP - 1771021
SN - 1664-302X
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.3389/
"type": "article-journal",
"title": "Enhanced virulence and neuroinvasion of contemporary &
"container-title": "Frontiers in microbiology",
"author": [
{
"family": "Nobre Santos",
"given": "Ellen Caroline"
},
{
"family": "Costa Silva",
"given": "Nathália"
},
{
"family": "Godoy Rodrigues Pinto",
"given": "Luiza"
},
{
"family": "Pontes Santos",
"given": "Luiz Gustavo"
},
{
"family": "da Silva Brandi Oliveira",
"given": "Juliana"
},
{
"family": "Teixeira Goulart",
"given": "Melissa"
},
{
"family": "Neves Rocha",
"given": "Marcele"
},
{
"family": "de Faria",
"given": "Isaque João da Silva"
},
{
"family": "de Souza",
"given": "Renan Pedra"
},
{
"family": "de Mendonça",
"given": "Silvana F."
},
{
"family": "Baldon",
"given": "Livia"
},
{
"family": "Todjiro",
"given": "Yaovi M. H."
},
{
"family": "de Freitas",
"given": "Amanda C."
},
{
"family": "Moreira",
"given": "Rafaela L."
},
{
"family": "Rodrigues",
"given": "Maria E. C."
},
{
"family": "Amadou",
"given": "Siad"
},
{
"family": "Fernandes",
"given": "José M. G."
},
{
"family": "Guimarães",
"given": "Natália R."
},
{
"family": "Adelino",
"given": "Talita E. R."
},
{
"family": "dos Santos",
"given": "Sara C. F."
},
{
"family": "Iani",
"given": "Felipe C. M."
},
{
"family": "Moreno",
"given": "Keldenn M. F."
},
{
"family": "de Almeida",
"given": "João P. P."
},
{
"family": "Alcantara",
"given": "Luiz"
},
{
"family": "Giovanetti",
"given": "Marta"
},
{
"family": "Ribeiro",
"given": "Fabíola Mara"
},
{
"family": "Ferreira",
"given": "Álvaro G. A."
}
],
"container-title-short":
"volume": "17",
"page": "1771021",
"DOI": "10.3389/
"PMID": "42238877",
"PMCID": "PMC13226609",
"ISSN": "1664-302X",
"publisher": "Frontiers Media SA",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
19
]
]
}
}
The tracing map gets a citation of its own once an author has validated it and it has a DOI.
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1016/j.ebiom.2026.106408 [code]
- Microcephaly-like phenotype triggered by novel reassortant and prototypic Oropouche virus strains in brain organoids.Journal: EBioMedicineIn common: data.table, ggplot2, tidyverse, 6 references
- [2] doi:10.1016/j.isci.2026.114957
- Oropouche virus infects human neural progenitor cells and alters the growth of brain organoids.Journal: iScienceIn common: 7 references
- [3] doi:10.1016/j.xgen.2026.101194 [code]
- Genetic diversity and regulatory features of human-specific NOTCH2NL duplications.Journal: Cell genomicsIn common: data.table, ggplot2, tidyverse, 2 other tools, 2 references
- [4] doi:10.1016/j.cell.2023.08.027 [code]
- Stepwise emergence of the neuronal gene expression program in early animal evolution.Journal: CellIn common: data.table, ggplot2, tidyverse, 2 other tools, 2 references
- [5] doi:10.1186/s12915-023-01661-8 [code]
- Expanded olfactory system in ray-finned fishes capable of terrestrial exploration.Journal: BMC biologyIn common: data.table, ggplot2, tidyverse, 2 other tools, 2 references
- [6] doi:10.1038/s41586-026-10629-x [code]
- Whole-genome duplication shaped cell-type evolution in the vertebrate brain.Journal: NatureIn common: reticulate, ggplot2, tidyverse, 2 other tools, mouse, 1 reference
- [7] doi:10.1016/j.xgen.2025.101079 [code]
- Incomplete lineage sorting of segmental duplications defines the human chromosome 2 fusion site early during African great ape speciation.Journal: Cell genomicsIn common: data.table, ggplot2, tidyverse, 1 other tool, 2 references
- [8] doi:10.1038/s41467-022-29748-w [code]
- Genome and transcriptome mechanisms driving cephalopod evolution.Journal: Nature communicationsIn common: data.table, ggplot2, tidyverse, 2 references
- [9] doi:10.1038/s41586-024-07473-2 [code]
- The complete sequence and comparative analysis of ape sex chromosomes.Journal: NatureIn common: ggplot2, tidyverse, pandas, 1 other tool, 2 references
- [10] doi:10.7554/elife.95628 [code]
- A single-cell atlas of the miracidium larva of &
lt;i& gt;Schistosoma mansoni& lt;/ i& gt; reveals cell types, developmental pathways, and tissue architecture. Journal: eLifeIn common: data.table, ggplot2, tidyverse, 2 other tools, 1 reference
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 1 repository of the authors' code, each at its verified commit and with its license, 231 scripts, and 1 match between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:b5e00d758612c1d0…
Add the badge to the code's README
If you are an author or a maintainer of this paper's code, you can add this badge. It says what OSCR knows of the paper (its code, its validated tracing map) and links the code to this page. Paste one of these snippets under the README's title. Keep the two marks around it, so that the badge can be replaced in place and is never added twice. OSCR changes nothing in your repository.
Markdown
<!-- oscr-badge:start -->
[](https://openscicode.org/badge/doi/10.3389/fmicb.2026.1771021)
<!-- oscr-badge:end -->reStructuredText
.. oscr-badge:start
.. image:: https://openscicode.org/badge/doi/10.3389/fmicb.2026.1771021.svg
:target: https://openscicode.org/badge/doi/10.3389/fmicb.2026.1771021
:alt: OSCR
.. oscr-badge:endHTML
<!-- oscr-badge:start -->
<a href="https://openscicode.org/badge/doi/10.3389/fmicb.2026.1771021"><img src="https://openscicode.org/badge/doi/10.3389/fmicb.2026.1771021.svg" alt="OSCR"></a>
<!-- oscr-badge:end -->On GitHub, open the README, choose Edit (the pencil), paste the snippet under the title, then "Commit changes".
If you choose to, you can have the badge kept up to date for you, with oscr badge --write from the command line or with the GitHub Action in your repository's workflows. Every other form and option (a card, AsciiDoc, LaTeX, shields.io) is on the badge page.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.
Report a mismatch between the code and the paper · Report a code error (signed in)
Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.
Report a reproduction failure (signed in)
Versions of its code: the releases of its code tied to a version of this paper (the preprint, the accepted manuscript, the version of record…), each with the tracing map versioned with it.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
