In situ immune response and mechanisms of cell damage in central nervous system of fatal cases microcephaly by Zika virus
Open accessAbstract
Zika virus (ZIKV) has recently caused a pandemic disease, and many cases of ZIKV infection in pregnant women resulted in abortion, stillbirth, deaths and congenital defects including microcephaly, which now has been proposed as ZIKV congenital syndrome. This study aimed to investigate the in situ immune response profile and mechanisms of neuronal cell damage in fatal Zika microcephaly cases. Brain tissue samples were collected from 15 cases, including 10 microcephalic ZIKV-positive neonates with fatal outcome and five neonatal control flavivirus-negative neonates that died due to other causes, but with preserved central nervous system (CNS) architecture. In microcephaly cases, the histopathological features of the tissue samples were characterized in three CNS areas (meninges, perivascular space, and parenchyma). The changes found were mainly calcification, necrosis, neuronophagy, gliosis, microglial nodules, and inflammatory infiltration of mononuclear cells. The in situ immune response against ZIKV in the CNS of newborns is complex. Despite the predominant expression of Th2 cytokines, other cytokines such as Th1, Th17, Treg, Th9, and Th22 are involved to a lesser extent, but are still likely to participate in the immunopathogenic mechanisms of neural disease in fatal cases of microcephaly caused by ZIKV.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cold and hot brew coffees are similar in their total concentrations of deprotonated acid compounds, but differ in concentration, and possibly complexity, of protonated acids at the pH of extraction.
“These differences suggest that the cold and hot brew coffees are similar in their total concentrations of deprotonated acid compounds, but differ in the concentration, and possibly in the complexity, of protonated acids at the pH of extraction27.”
From Effect of grinding, extraction time and type of coffee on the physicochemical and flavour characteristics of cold brew coffee (2019) · cites this paper as [27]
The Results section on cytokine profiles concerns inflammation in fatal Zika microcephaly cases, not coffee. Searches for cold and hot brew coffee, deprotonated acids, and extraction pH found no passage addressing the claim in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIf data is handled accordingly, sequencing errors occur at random positions.
“However, studies have suggested that if data is handled accordingly, sequencing errors occur at random positions35.”
From DNA synthesis for true random number generation (2020) · cites this paper as [35]
After processing DNA pool by sequencing-by-synthesis using Illumina and removing faulty shortened sequences, errors from sequencing DNA occur at seemingly random positions.
“Pfeiffer et al.35 have shown that after processing the DNA pool by means of sequencing-by-synthesis using Illumina, removing (faulty) shortened sequences, errors from sequencing DNA occur at seemingly random positions.”
From DNA synthesis for true random number generation (2020) · cites this paper as [35]
Cold brew coffee prepared at temperatures less than 25 °C is widely reported to be sweeter and less acidic than hot brewed coffee.
“At one extreme, cold brew coffee prepared at temperatures less than 25 °C is widely reported to be sweeter and less acidic than hot brewed coffee20–23, suggesting that less dramatic temperature differences might play a similar role for hot drip brew coffee.”
From Brew temperature, at fixed brew strength and extraction, has little impact on the sensory profile of drip brew coffee (2020) · cites this paper as [23]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Korn, T., Bettelli, E., Oukka, M., & Kuchroo, V. K. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132710 · Cited by 4,873 · see citing works
Zika Virus Associated with Microcephaly
Mlakar, J., Korva, M., Tul, N., Popović, M., Poljšak-Prijatelj, M., Mraz, J., Kolenc, M., Resman Rus, K., Vesnaver Vipotnik, T., Fabjan Vodušek, V., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1600651 · Cited by 2,884 · see citing works
Cao‐Lormeau, V., Blake, A., Mons, S., Lastère, S., Roche, C., Vanhomwegen, J., Dub, T., Baudouin, L., Teissier, A., Larre, P., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00562-6 · Cited by 2,196 · see citing works
Differential Roles of M1 and M2 Microglia in Neurodegenerative Diseases
Tang, Y., & Le, W. (2016) · Molecular Neurobiology · doi:10.1007/s12035-014-9070-5 · Cited by 2,190 · see citing works
Lanciotti, R. S., Kosoy, O. L., Laven, J. J., Velez, J. O., Lambert, A. J., Johnson, A. J., Stanfield, S. M., & Duffy, M. R. (2008) · Emerging infectious diseases · doi:10.3201/eid1408.080287 · Cited by 2,173 · see citing works
Neuroinflammation and M2 Microglia: The Good, the Bad, and the Inflamed
Cherry, J. D., Olschowka, J. A., & O’Banion, M. K. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-98 · Cited by 1,748 · see citing works
Targeting the TGFβ signalling pathway in disease
Akhurst, R. J., & Hata, A. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3810 · Cited by 1,466 · see citing works
Necroptosis: The Release of Damage-Associated Molecular Patterns and Its Physiological Relevance
Kaczmarek, A., Vandenabeele, P., & Krysko, D. V. (2013) · Immunity · doi:10.1016/j.immuni.2013.02.003 · Cited by 1,411 · see citing works
The Brazilian Zika virus strain causes birth defects in experimental models
Cugola, F. R., Fernandes, I. R., Russo, F. B., Freitas, B. C., Dias, J. L. M., Guimarães, K. P., Benazzato, C., Almeida, N., Pignatari, G. C., Romero, S., et al. (2016) · Nature · doi:10.1038/nature18296 · Cited by 1,326 · see citing works
Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth
Tang, H., Hammack, C., Ogden, S. C., Wen, Z., Qian, X., Li, Y., Yao, B., Shin, J., Zhang, F., Lee, E. M., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.02.016 · Cited by 1,292 · see citing works
Biology of Zika Virus Infection in Human Skin Cells
Hamel, R., Dejarnac, O., Wichit, S., Ekchariyawat, P., Neyret, A., Luplertlop, N., Perera-Lecoin, M., Surasombatpattana, P., Talignani, L., Frédéric Thomas, A., et al. (2015) · Journal of Virology · doi:10.1128/jvi.00354-15 · Cited by 1,199 · see citing works
Caspase‐1‐induced pyroptotic cell death
Miao, E. A., Rajan, J. V., & Aderem, A. A. (2011) · Immunological Reviews · doi:10.1111/j.1600-065x.2011.01044.x · Cited by 1,139 · see citing works
Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game
Liu, Y., Chen, X., Li, Z., Wang, L., & Perc, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030689 · Cited by 529 · see citing works
Expression Analysis Highlights AXL as a Candidate Zika Virus Entry Receptor in Neural Stem Cells
Nowakowski, T. J., Pollen, A. A., Di Lullo, E., Sandoval-Espinosa, C., Bershteyn, M., & Kriegstein, A. R. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.03.012 · Cited by 529 · see citing works
Role of IL-33 in inflammation and disease
Miller, A. M. (2011) · Journal of Inflammation · doi:10.1186/1476-9255-8-22 · Cited by 481 · see citing works
Interleukin 12 a Key Immunoregulatory Cytokine in Infection Applications
Hamza, T., Barnett, J. B., & Li, B. (2010) · International Journal of Molecular Sciences · doi:10.3390/ijms11030789 · Cited by 383 · see citing works
Flavivirus Entry Receptors: An Update
Perera-Lecoin, M., Meertens, L., Carnec, X., & Amara, A. (2013) · Viruses · doi:10.3390/v6010069 · Cited by 324 · see citing works
Muraille, É., Léo, O., & Moser, M. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00603 · Cited by 313 · see citing works
Li, F., Wang, Y., Lan, Y., Cao, S., Wang, K., Yuan, J., Wang, C., Wang, K., Cui, M., & Fu, Z. F. (2015) · Journal of Virology · doi:10.1128/jvi.00143-15 · Cited by 277 · see citing works
Host Inflammatory Response to Mosquito Bites Enhances the Severity of Arbovirus Infection
Pingen, M., Bryden, S. R., Pondeville, E., Schnettler, E., Kohl, A., Merits, A., Fazakerley, J. K., Graham, G. J., & McKimmie, C. S. (2016) · Immunity · doi:10.1016/j.immuni.2016.06.002 · Cited by 246 · see citing works
Vertical Transmission of Zika Virus in Aedes aegypti Mosquitoes
Thangamani, S., Huang, J., Hart, C. E., Guzmán, H., & Tesh, R. B. (2016) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.16-0448 · Cited by 186 · see citing works
Brain dendritic cells: biology and pathology
D’Agostino, P. M., Gottfried‐Blackmore, A., Anandasabapathy, N., & Bulloch, K. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1018-0 · Cited by 176 · see citing works
Molecular signatures associated with ZIKV exposure in human cortical neural progenitors
Zhang, F., Hammack, C., Ogden, S. C., Cheng, Y., Lee, E. M., Wen, Z., Qian, X., Nguyen, H. N., Li, Y., Yao, B., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw765 · Cited by 169 · see citing works
Hanners, N. W., Eitson, J. L., Usui, N., Richardson, R. B., Wexler, E., Konopka, G., & Schoggins, J. W. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.075 · Cited by 123 · see citing works
Regulatory T cells shape the resident memory T cell response to virus infection in the tissues.
Graham, J. B., da Costa, A. D., & Lund, J. M. (2013) · Journal of Immunology · doi:10.4049/jimmunol.1202153 · Cited by 110 · see citing works
Reconsideration of histopathology and ultrastructural aspects of the human liver in yellow fever
Quaresma, J. A. S., de Barros, V. L. R. S., Fernandes, E. R., et al. (2005) · Acta Tropica · doi:10.1016/j.actatropica.2005.03.003 · Cited by 110 · see citing works
Self-citationAAV Vectors Vaccines Against Infectious Diseases
Nieto, K., & Salvetti, A. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00005 · Cited by 100 · see citing works
Zika virus epidemic in Brazil. I. Fatal disease in adults: Clinical and laboratorial aspects
Azevedo, R. D. S. D. S., de Araújo, M. T. F., Filho, A. J. M., et al. (2016) · Journal of Clinical Virology · doi:10.1016/j.jcv.2016.10.024 · Cited by 86 · see citing works
Self-citationZika virus: from pathogenesis to disease control
Barzon, L., Trevisan, M., Sinigaglia, A., Lavezzo, E., & Palù, G. (2016) · FEMS Microbiology Letters · doi:10.1093/femsle/fnw202 · Cited by 78 · see citing works
CD8+ T Cells Complement Antibodies in Protecting against Yellow Fever Virus
Bassi, M. R., Kongsgaard, M., Steffensen, M. A., Fenger, C., Rasmussen, M., Skjødt, K., Finsen, B. R., Stryhn, A., Buus, S., Christensen, J. P., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1402605 · Cited by 77 · see citing works
CD8 + T Cells Use TRAIL To Restrict West Nile Virus Pathogenesis by Controlling Infection in Neurons
Shrestha, B., Pinto, A. K., Green, S., Bosch, I., & Diamond, M. S. (2012) · Journal of Virology · doi:10.1128/jvi.00673-12 · Cited by 72 · see citing works
IL-22 Signaling Contributes to West Nile Encephalitis Pathogenesis
Wang, P., Bai, F., Zenewicz, L. A., Dai, J., Gate, D., Cheng, G., Yang, L., Qian, F., Yuan, X., Montgomery, R. R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044153 · Cited by 71 · see citing works
Patkaï, J., Mesplès, B., Dommergues, M., et al. (2001) · Pediatric Research · doi:10.1203/00006450-200108000-00010 · Cited by 68 · see citing works
West Nile Virus Infection in the Central Nervous System
Winkelmann, E., Luo, H., & Wang, T. (2016) · F1000Research · doi:10.12688/f1000research.7404.1 · Cited by 64 · see citing works
Cytolytic effector pathways and IFN ‐γ help protect against J apanese encephalitis
Larena, M., Regner, M., & Lobigs, M. (2013) · European Journal of Immunology · doi:10.1002/eji.201243152 · Cited by 59 · see citing works
Huang, Z. W., Gao, C., Chi, X., Hu, Y., Zheng, L., Zeng, T., & Wang, Q. (2015) · Scandinavian Journal of Immunology · doi:10.1111/sji.12326 · Cited by 58 · see citing works
Regulation of cell survival and death during Flavivirus infections
Roy, S. G. (2014) · World Journal of Biological Chemistry · doi:10.4331/wjbc.v5.i2.93 · Cited by 56 · see citing works
NK Cells during Dengue Disease and Their Recognition of Dengue Virus-Infected cells
Beltrán, D., & López‐Vergès, S. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00192 · Cited by 47 · see citing works
CD8 and CD4 T Cells in West Nile Virus Immunity and Pathogenesis
Netland, J., & Bevan, M. J. (2013) · Viruses · doi:10.3390/v5102573 · Cited by 46 · see citing works
Gupta, N., Hegde, P., Lecerf, M., Nain, M., Kaur, M., Kalia, M., Vrati, S., Bayry, J., Lacroix‐Desmazes, S., & Kaveri, S. V. (2014) · European Journal of Immunology · doi:10.1002/eji.201343701 · Cited by 36 · see citing works
Cellular Inflammatory Response to Flaviviruses in the Central Nervous System of a Primate Host
Maximova, O. A., Faucette, L. J., Ward, J. M., et al. (2009) · Journal of Histochemistry & Cytochemistry · doi:10.1369/jhc.2009.954180 · Cited by 36 · see citing works
Zika Virus Infectious Cell Culture System and the In Vitro Prophylactic Effect of Interferons
Contreras, D. A., & Arumugaswami, V. (2016) · Journal of Visualized Experiments · doi:10.3791/54767 · Cited by 36 · see citing works
Neuroteratogenic Viruses and Lessons for Zika Virus Models
Kim, K., & Shresta, S. (2016) · Trends in Microbiology · doi:10.1016/j.tim.2016.06.002 · Cited by 32 · see citing works
Biswas, M., Ayachit, V. M., Sapkal, G. N., et al. (2009) · Journal of General Virology · doi:10.1099/vir.0.008045-0 · Cited by 29 · see citing works
Srivastava, R., Kalita, J., Khan, M. Y., et al. (2011) · Inflammation Research · doi:10.1007/s00011-011-0423-5 · Cited by 18 · see citing works
Zika Virus in the Human Placenta and Developing Brain: Cell Tropism and Drug InhibitionPreprint
Retallack, H., Lullo, E. D., Arias, C., Knopp, K. A., Sandoval-Espinosa, C., Laurie, M. T., Zhou, Y., Gormley, M. J., Mancia, W., Krencik, R., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/058883 · Cited by 18 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Gut microbiota in human metabolic health and disease
Fan, Y., & Pedersen, O. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0433-9 · Cited by 4,724 · see citing works
Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., Rasoulpoor, S., & Khaledi-Paveh, B. (2020) · Globalization and Health · doi:10.1186/s12992-020-00589-w · Cited by 3,560 · see citing works
A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science
Alloghani, M., Al-Jumeily, D., Mustafina, J., Hussain, A., & Aljaaf, A. J. (2020) · Unsupervised and Semi-Supervised Learning · doi:10.1007/978-3-030-22475-2_1 · Cited by 702 · see citing works
Miller, M. E., Hamann, M., & Kroon, F. J. (2020) · PLOS ONE · doi:10.1371/journal.pone.0240792 · Cited by 657 · see citing works
Advances in on-chip photonic devices based on lithium niobate on insulator
Lin, J., Bo, F., Cheng, Y., & Xu, J. (2020) · Photonics Research · doi:10.1364/prj.395305 · Cited by 377 · see citing works
El-Sappagh, S., Alonso, J. M., Islam, S. M. R., Sultan, A. M., & Kwak, K. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-82098-3 · Cited by 363 · see citing works
Prefrontal cortex, amygdala, and threat processing: implications for PTSD
Alexandra Kredlow, M., Fenster, R. J., Laurent, E. S., Ressler, K. J., & Phelps, E. A. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01155-7 · Cited by 346 · see citing works
Advances in Meningeal Immunity
Rua, R., & McGavern, D. B. (2018) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2018.04.003 · Cited by 326 · see citing works
Role of tau protein in Alzheimer’s disease: The prime pathological player
Muralidar, S., Ambi, S. V., Sekaran, S., Thirumalai, D., & Palaniappan, B. (2020) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2020.07.327 · Cited by 278 · see citing works
Brun, N. R., van Hage, P., Hunting, E. R., Haramis, A.-P. G., Vink, S. C., Vijver, M. G., Schaaf, M. J. M., & Tudorache, C. (2019) · Communications Biology · doi:10.1038/s42003-019-0629-6 · Cited by 246 · see citing works
The efficacy of PD-1/PD-L1 blockade in cold cancers and future perspectives
Majidpoor, J., & Mortezaee, K. (2021) · Clinical Immunology · doi:10.1016/j.clim.2021.108707 · Cited by 236 · see citing works
Extracellular Matrix-Based Biomaterials and Their Influence Upon Cell Behavior
Cramer, M. C., & Badylak, S. F. (2020) · Annals of Biomedical Engineering · doi:10.1007/s10439-019-02408-9 · Cited by 196 · see citing works
Nanomaterial based drug delivery systems for the treatment of neurodegenerative diseases
Masoudi Asil, S., Ahlawat, J., Guillama Barroso, G., & Narayan, M. (2020) · Biomaterials Science · doi:10.1039/d0bm00809e · Cited by 181 · see citing works
Addressing Minority Stress and Mental Health among Men Who Have Sex with Men (MSM) in China
Sun, S., Pachankis, J. E., Li, X., & Operario, D. (2020) · Current HIV/AIDS Reports · doi:10.1007/s11904-019-00479-w · Cited by 169 · see citing works
Cordoba, N., Pataquiva, L., Osorio, C., Moreno, F. L. M., & Ruiz, R. Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-44886-w · Cited by 166 · see citing works
Fungal persister cells: The basis for recalcitrant infections?
Wuyts, J., Van Dijck, P., & Holtappels, M. (2018) · PLOS Pathogens · doi:10.1371/journal.ppat.1007301 · Cited by 136 · see citing works
Perski, O., Crane, D., Beard, E., & Brown, J. (2019) · DIGITAL HEALTH · doi:10.1177/2055207619880676 · Cited by 135 · see citing works
Cooper, J. M., Lathuiliere, A., Migliorini, M., Arai, A. L., Wani, M. M., Dujardin, S., Muratoglu, S. C., Hyman, B. T., & Strickland, D. K. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100715 · Cited by 122 · see citing works
Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver
Bachtiar, V., Kelly, M. D., Wilman, H. R., Jacobs, J., Newbould, R., Kelly, C. J., Gyngell, M. L., Groves, K. E., McKay, A., Herlihy, A. H., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0214921 · Cited by 117 · see citing works
Aleksandrova, L. R., Wang, Y. T., & Phillips, A. G. (2020) · Molecular Brain · doi:10.1186/s13041-020-00627-z · Cited by 85 · see citing works
MiMeNet: Exploring microbiome-metabolome relationships using neural networks
Reiman, D., Layden, B. T., & Dai, Y. (2021) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1009021 · Cited by 80 · see citing works
Recent progress on peripheral neural interface technology towards bioelectronic medicine
Cho, Y., Park, J., Lee, C., & Lee, S. (2020) · Bioelectronic Medicine · doi:10.1186/s42234-020-00059-z · Cited by 55 · see citing works
Triple-cation perovskite solar cells for visible light communications
Mica, N. A., Bian, R., Manousiadis, P., Jagadamma, L. K., Tavakkolnia, I., Haas, H., Turnbull, G. A., & Samuel, I. D. W. (2020) · Photonics Research · doi:10.1364/prj.393647 · Cited by 51 · see citing works
Influence of NAD+ as an ageing-related immunomodulator on COVID 19 infection: A hypothesis
Omran, H. M., & Almaliki, M. S. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.06.004 · Cited by 45 · see citing works
DNA synthesis for true random number generation
Meiser, L. C., Koch, J., Antkowiak, P. L., Stark, W. J., Heckel, R., & Grass, R. N. (2020) · Nature Communications · doi:10.1038/s41467-020-19757-y · Cited by 45 · see citing works
Lu, C., Zou, L., Becker, B., D. Griffiths, M., Yu, Q., Chen, S.-T., Demetrovics, Z., Jiao, C., Chi, X., Chen, A., et al. (2020) · International Journal of Mental Health Promotion · doi:10.32604/ijmhp.2020.014419 · Cited by 42 · see citing works
Batali, M. E., Ristenpart, W. D., & Guinard, J.-X. (2020) · Scientific Reports · doi:10.1038/s41598-020-73341-4 · Cited by 41 · see citing works
Organic Thin Film Transistors in Mechanical Sensors
Lamport, Z. A., Cavallari, M. R., Kam, K. A., McGinn, C. K., Yu, C., & Kymissis, I. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202004700 · Cited by 40 · see citing works
Perski, O., Baretta, D., Blandford, A., West, R., & Michie, S. (2018) · DIGITAL HEALTH · doi:10.1177/2055207618785841 · Cited by 31 · see citing works
Tzoumas, N., Hallam, D., Harris, C. L., Lako, M., Kavanagh, D., & Steel, D. H. W. (2021) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2020.10.008 · Cited by 33 · see citing works
- Authors
- Azevedo, R. S. S., de Sousa, J. R., Araujo, M. T. F., Martins Filho, A. J., de Alcantara, B. N., Araujo, F. M. C., Queiroz, M. G. L., Cruz, A. C. R., Vasconcelos, B. H. B., Chiang, J. O., Martins, L. C., Casseb, L. M. N., da Silva, E. V., Carvalho, V. L., Vasconcelos, B. C. B., Rodrigues, S. G., Oliveira, C. S., Quaresma, J. A. S., & Vasconcelos, P. F. C.
- Affiliations
- Universidade do Estado do Pará (BR)
- Instituto Evandro Chagas (BR)
- ORCID
- Venue
- Scientific Reports
- Published
- 2018-01-08
- Volume
- 8
- Issue
- 1
- Pages
- 1-1
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5758755
- OpenAlex
- W2782327081
- Cited by
- 3,478
- References
- 46
- Citations by year
- 2026: 16 · 2025: 46 · 2024: 72 · 2023: 100 · 2022: 128 · 2021: 1109 · 2020: 1406 · 2019: 498 · 2018: 100 · 2017: 1
- FWCI
- 745.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
- Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Zika virus, microcephaly, congenital Zika syndrome, neuronal injury, central nervous system, calcification, necrosis, gliosis, microglial nodules, Th2 cytokines, Th17, regulatory T cells, flavivirus infection
- MeSH terms
- Zika Virus Infection, Zika Virus, Biopsy, Central Nervous System, Female, Humans, Immunity, Immunohistochemistry, Infant, Newborn, Male, Microcephaly, Models, Biological, Biomarkers, Cytokines, Apoptosis, Inflammation Mediators
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review