Biology subjects

Zhen, Z.

Publications and source records attributed to Zhen, Z..

At least 19 recordsLinked to original sources

bioRxiv2026

Brainana: an end-to-end preprocessing framework for macaque neuroimaging

Macaque MRI bridges non-invasive systems neuroscience with cellular and circuit-level mechanisms, but preprocessing tools remain difficult to integrate and deploy reproducibly. We present Brainana, an automated, BIDS-compatible preprocessing and visualization framework for macaque neuroimaging. Brainana integrates structural and functional preprocessing, cortical surface reconstruction, quality control, transform tracking, and atlas projection within a containerized package, with cloud access for users without local compute. Macaque-trained deep learning models support brain extraction and tissue segmentation, while image orientation standardization and macaque-specific surface reconstruction optimizations address variability across acquisitions. A viewer automatically organizes derivatives and links volumetric and surface data, enabling users to inspect anatomy, cortical measures, atlas delineations, and activity maps without neuroimaging expertise. Across 23 imaging sites, Brainana processed heterogeneous data from 130 monkeys, yielding anatomical correspondence, reliable native-space surfaces, localized task-evoked activations, and reproducible brain-wide resting-state correlations. Brainana enables reproducible, scalable, and accessible macaque MRI analysis, cross-study comparison, and multimodal integration.

neuroscience↗

bioRxiv2025

Overlooked neuroanatomical markers of face processing and developmental prosopagnosia in posteromedial cortex

Recent functional imaging studies implicate human posteromedial cortex (PMC)--composed of the posterior cingulate cortex, the precuneus, and retrosplenial cortex--in face processing. Separately, anatomical studies have identified previously overlooked cortical folds (sulci) in PMC associated with higher-level cognitive abilities. Here, we tested whether these newly identified sulci support face processing in neurotypical individuals and individuals with developmental prosopagnosia (DP). After manually labeling 1,642 sulci in 164 hemispheres, we first identified a gradient of face selectivity along the anterior-posterior axis of PMC that was consistent across three samples, including DP individuals. Second, we discovered a new anatomical locus in PMC that differed structurally and functionally between neurotypical and DP individuals. Finally, data-driven analysis revealed that right-hemisphere PMC sulcal morphology was associated with face recognition ability. These findings reveal a sulcal network in PMC that supports face processing, and they identify the first structural neuroanatomical marker of face processing deficits in PMC.

neuroscience↗

bioRxiv2025

The genomic and transcriptional landscape of the spinal cord H3K27-altered diffuse midline glioma suggests the potential therapeutic strategy

Diffuse midline glioma with H3K27-altered (DMG) is a lethal pediatric malignancy that primarily occurs in the brainstem of children. In adults, DMG arising in the spinal cord is rarely reported and remains poorly understood. The cellular architecture and clinical outcomes of DMG vary depending on the tumors location. To dissect the genomic and transcriptional architecture of a cohort of spinal cord DMG patients, we conducted whole-exome sequencing and single-cell RNA sequencing on 19 tumor samples from 7 patients. We identified previously underappreciated stem-like cells associated with hypoxia in malignant tumor cells, which were present in all samples of spinal cord DMG but absent in published intracranial DMG, corroborating cellular heterogeneity based on tumor location. We discovered that tumor-associated myeloid cells constituted the largest population of non-malignant cells in adult spinal cord DMG. Our research revealed a transition from microglia to macrophages, characterized by enhanced cell-to-cell interactions mediated through the VEGF signaling pathway network. Notably, we found that epigenetic agents can repress the expression of hypoxia-related gene programs in patient-derived spinal cord DMG cultures and inhibit cell proliferation in vitro. Collectively, our study reveals a crucial anatomical dimension that DMG exhibits a location-specific genomic and transcriptional landscape despite shared H3K27 alterations, providing the paradigm for developing precision therapeutic strategies that extend beyond DMG to other molecularly defined yet anatomically divergent malignancies.

cancer biology↗

bioRxiv2025

Gyral crowns contribute to the cortical infrastructure of human face processing

Neuroanatomical features across spatial scales contribute to functional specialization and individual differences in behavior across species. Among species with gyrencephalic brains, gyral crown height, which measures a key aspect of the morphology of cortical folding, may represent an anatomical characteristic that importantly shapes neural function. Nevertheless, little is known about the relationship between functional selectivity and gyral crowns--especially in clinical populations. Here, we investigated this relationship and found that the size and gyral crown height of the middle, but not posterior, face-selective region on the fusiform gyrus (FG) was smaller in individuals with developmental prosopagnosia (DPs; N = 22, 68% female, aged 25-62) compared to neurotypical controls (NTs; N = 25, 60% females, aged 21-55), and this difference was related to face perception. Additional analyses replicated the relationship between gyral crowns and face selectivity in 1,053 NTs (55% females, aged 22-36). These results inform theoretical models of face processing while also providing a novel neuroanatomical feature contributing to the cortical infrastructure supporting face processing. Significance StatementUnderstanding how brain structure supports specialized brain functions is a central goal of neuroscience. Here, we identified a role of gyral crown height--an understudied cortical feature--in shaping the cortical infrastructure underlying face processing. By examining face-selective regions of the fusiform gyrus in both neurotypical individuals and those with developmental prosopagnosia, we demonstrate that reduced gyral crown height is associated with diminished face-selective region surface area and impaired face recognition ability. Furthermore, this structural-functional relationship extends to a large neurotypical sample of over 1,000 individuals, highlighting a generalizable link between cortical anatomy and functional specialization. These findings introduce a new neuroanatomical factor to theoretical models of face perception, which could extend to additional neurodevelopmental disorders and other cognitive tasks.

neuroscience↗

bioRxiv2025

Subunit shuffling dynamics in KaiC's central hub reveal the synchronization mechanism of the cyanobacterial circadian clock

Protein complexes are critical for cellular functions, and subunit exchange within these complexes is increasingly recognized as a key regulatory mechanism. In the cyanobacterial circadian clock, subunits shuffling of the core clock protein KaiC is thought to synchronize the clock, though the underlying mechanism remains unclear. We developed a chromatography-based method to monitor the shuffling dynamics of hexamerization domain of KaiC (KaiC-CI) and found that ATPase activity is essential for this process. By analyzing experiment data with quantitative models, we found that KaiC-CI hexamer stochastically disassembles into two oligomers for shuffling after hydrolysis. Further, by assuming a hidden conformation for post-hydrolysis hexamers, we established an ATPase activity-dependent model that quantitatively describes the shuffling dynamics of KaiC-CI hexamers, linking the shuffling rate to ATP hydrolysis and nucleotide exchange rates. Using this model, we estimated the shuffling dynamics of full-length KaiC with indirect experimental data. Our findings suggest that KaiCs phosphorylation states regulate nucleotide exchange rates in the CI domain, thereby modulating ATPase activity and influencing subunit shuffling. This study provides a mechanistic framework for understanding the role of ATPase activity in subunit exchange and its implications for circadian clock regulation.

biophysics↗

bioRxiv2024

Blebs regulate phosphoinositides distribution and promote cell survival through the Septin-SH3KBP1-PI3K axis

Cells rely on substrate adhesion to activate diverse signaling pathways essential for survival. In the absence of proper adhesion, cells undergo anoikis, a form of programmed cell death. Poorly attached cells often exhibit rounded morphologies and form small round protrusions called blebs. While the role of blebs in amoeboid migration is well-documented, recent studies have highlighted their function in anoikis resistance with the help of curvature-recognized proteins. However, little is known about whether the most abundant membrane components-phospholipids function in blebs-facilitated cell survival. Here, we found enriched PI(3,4,5)P3 and diluted PI(4,5)P2 at the bleb membrane, compared to non-bleb plasma membrane regions. Our experimental results showed that both phosphoinositides (PIs) have restricted diffusion pattern between the bleb and non-bleb membranes. Subsequently, we reveal SH3KBP1 to play a crucial role in recruiting PI3K and organizing the Septin-SH3KBP1-PI3K complex at the bleb necks. This process then contributes to differential PIs distribution and anoikis resistance. These novel insights into PIs dynamics elucidate their role in cell blebbing, cancer cell behavior and metastasis, presenting potential targets for new therapeutic interventions. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/602823v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@63455eorg.highwire.dtl.DTLVardef@15f2092org.highwire.dtl.DTLVardef@535a26org.highwire.dtl.DTLVardef@43b48e_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2024

Karyotype Description and Comparative Chromosomal Mapping of 5S rDNA in 21 species

5S rDNA is essential component of all cell types. A survey was conducted to study the 5S rDNA site number, position, and origin of signal pattern diversity in 64 plants using fluorescence in situ hybridization. The species used for this experiment were chosen due to the discovery of karyotype rearrangement, and for species checked in which 5S rDNA has not yet been explored. The chromosome number was 14-160, while the chromosome length was 0.63-6.88 m, with 37 plants (58%) had small chromosome (<3 m). The chromosome numbers of three species and 5S rDNA loci of 19 species have been reported for the first time. 5S rDNA was varied and abundant in signal site number (2-18), position (e.g., interstitial, distal, and proximal position, occasionally, outside chromosome), and even as intense (e.g., strong, weak, and slight). Our results exposed modifiability in the number and location of 5S rDNA in 33 plants and demonstrated an extensive stable number and location of 5S rDNA in 31 plants. The potential origin of signal pattern diversity was probably caused by chromosome rearrangement (e.g., deletion, duplication, inversion, translocation), polyploidization, self-incompatibility, and chromosome satellites. These data characterized the variability of 5S rDNA within the karyotypes of the 64 plants that exhibited massive chromosomal rearrangements and provided anchor points for genetic physical maps. These data prove the utility of the 5S rDNA oligonucleotide as a chromosome marker in identifying plant chromosomes. This method provides a basis for developing similar applications for cytogenetic analysis in other species. Article SummaryA survey was exploited to study 5S rDNA signal pattern diversity in 64 plants by FISH. The chromosome number of three species and 5S rDNA loci of 19 species have been reported by the first time. 5S rDNA was really rather various and abundant in signal site number (2-18), position (interstitial, distal, proximal position, occasionally, outside chromosome), even as the intense (strong, week, slight). These data prove the utility of 5S rDNA oligonucleotide as chromosome marker in identifying plant chromosomes.

molecular biology↗

bioRxiv2023

Shared architectural patterns across the human cortical mantle predict visual representations and capture behavior across the lifespan

The microstructure of cells within human cerebral cortex varies across the cortical ribbon, where changes in cytoarchitecture and myeloarchitecture are thought to endow each region of cortex with its unique function. While fine-scale relative to a cell, these changes at population level impact architectural properties of cortex measurable in vivo by noninvasive MRI, such as the thickness and myelin content of cortex. This raises the question of whether or not we can use these in vivo architectural measures to understand cortical organization, function, and development more broadly. Using human visual cortex as a test bed, we demonstrated two architectural gradients, one in which cytoarchitecture and myeloarchitecture converge and another in which they diverge. These two gradients underlie the structural and functional topography of visual cortex, even predicting the presence of new visual representations. Moreover, the two gradients show distinct visual behavior relevance and lifespan trajectory. These findings provide a more general framework for understanding human cortex, showing that architectural gradients are a measurable fingerprint of functional organization and ontogenetic routines in the human brain.

neuroscience↗

bioRxiv2023

The effect of glucagon-like peptide-1 receptor agonist (GLP1RA) on hypertensive-induced heart failure with preserved ejection fraction and hypertensive cardiomyopathy

Emerging preclinical data suggest that glucagon-like peptide-1 receptor agonist (GLP1RA) possesses cardioprotective properties against the pathophysiology of hypertension (HT). We sought to unravel the potential therapeutic application of GLP1RA in a clinically relevant large animal model of hypertensive cardiomyopathy (hCMP). A combination of angiotensin II (Ang II) and deoxycorticosterone acetate (DOCA) pellets were used to induce sustained HT status and establish hCMP in porcine model. Changes in cardiac echocardiography, invasive hemodynamic parameters, neurohumoral biomarkers and inflammation-related cytokines were investigated in 23 adult pigs, among which 6 were serving as control, 9 were induced with HT, and the remaining 8 were HT-induced with GLP1RA treatment. Eight weeks after the study initiated, HT pigs have developed sustained high blood pressure (BP) at both systole and diastole. Phenotype of hCMP has also become significant as impairment in systolic/diastolic function, left ventricular remodeling and cardiac hypertrophy was determined by echocardiogram and invasive hemodynamics. Additionally, blood norepinephrine (NE) content, venoarterial NE gradient and pro-inflammatory cytokines in HT pigs were increased. GLP1RA treatment halted the elevation in BP, left ventricular remodeling and cardiac hypertrophy development; preserved the left ventricular systolic/diastolic function; reduced the venoarterial NE gradient as well as the pro-inflammatory cytokines at 18 weeks in pigs with hCMP. Our results demonstrate that GLP1RA treatment has a remarkable effect on BP decrease, inflammation suppression and left ventricular function improvement. Thus, we provide novel insight into the therapeutic potential of GLP1RA in HT-induced heart failure in a large animal model of hCMP.

physiology↗

bioRxiv2022

Extensive RNA editing in tomato nuclear genes

MicroTom tomato has a short growth cycle and high transformation efficiency, and is a prospective model plant for studying organ development, metabolism, and plant-microbe interactions. Here, with a newly assembled reference genome for this tomato cultivar and abundant RNA-seq data derived from tissues of different organs/developmental stages/treatments, we constructed multiple gene co-expression networks, which will provide valuable clues for the identification of important genes involved in diverse regulatory pathways during plant growth, e.g., arbuscular mycorrhizal symbiosis and fruit development. Additionally, non-coding RNAs, including miRNAs, lncRNAs and circRNAs were also identified, together with their potential targets. Interacting networks between different types of non-coding RNAs (miRNA-lncRNA), and non-coding RNAs and genes (miRNA-mRNA and lncRNA-mRNA) were constructed as well. Our results and data will provide valuable information for the study of organ differentiation and development of this important fruit. Lastly, we established a database (http://eplant.njau.edu.cn/microTomBase/) with genomic and transcriptomic data, as well as details of gene co-expression and interacting networks on microTom, and this database should be of great value to those who wants to adopt microTom as a model plant for research.

genomics↗

bioRxiv2022

Functionally and structurally distinct fusiform face area(s) in over 1000 participants

The Fusiform Face Area (FFA) is a widely studied region causally involved in face perception. Even though cognitive neuroscientists have been studying the FFA for over two decades, answers to foundational questions regarding the structure, function, and connectivity of the FFA from a large (N>1000) group of participants are still lacking. To fill this gap, we quantified structural, functional, and connectivity features of fusiform face-selective regions in 1080 participants in the Human Connectome Project (HCP). After manually defining over 4,000 fusiform face-selective regions, we report five main findings. First, 68.94% of hemispheres have two cortically separate regions (pFus-faces/FFA-1 and mFus-faces/FFA-2). Second, in 26.48% of hemispheres, pFus-faces/FFA-1 and mFus-faces/FFA-2 are spatially contiguous, yet functionally and structurally distinct. Third, pFus-faces/FFA-1 is more face-selective than mFus-faces/FFA-2, and the two regions have distinct functional connectivity fingerprints. Fourth, pFus-faces/FFA-1 is cortically thinner and more heavily myelinated than mFus-faces/FFA-2. Fifth, face-selective patterns and functional connectivity fingerprints of each region were more similar in monozygotic than dizygotic twins and more so than structural gradients. As we share our areal definitions with the field, future studies can explore how structural and functional features of these regions will inform theories regarding how visual categories are represented in the brain.

neuroscience↗

bioRxiv2021

A studyforrest extension, MEG recordings while watching the audio-visual movie "Forrest Gump"

Naturalistic stimuli, such as movies, are being increasingly used to map brain function because of their high ecological validity. The pioneering studyforrest and other naturalistic neuroimaging projects have provided free access to multiple movie-watching functional magnetic resonance imaging (fMRI) datasets to prompt the community for naturalistic experimental paradigms. However, sluggish blood-oxygenation-level-dependent fMRI signals are incapable of resolving neuronal activity with the temporal resolution at which it unfolds. Instead, magnetoencephalography (MEG) measures changes in the magnetic field produced by neuronal activity and is able to capture rich dynamics of the brain at the millisecond level while watching naturalistic movies. Herein, we present the first public prolonged MEG dataset collected from 11 participants while watching the 2 h long audio-visual movie "Forrest Gump". Minimally preprocessed data was also provided to facilitate the use of the dataset. As a studyforrest extension, we envision that this dataset, together with fMRI data from the studyforrest project, will serve as a foundation for exploring the neural dynamics of various cognitive functions in real-world contexts.

neuroscience↗

bioRxiv2021

Changes in the urinary proteome in rats with regular swimming exercise

PurposeUrine can sensitively reflect early pathophysiological changes in the body. The purpose of this study was to determine whether the urine proteome could reflect changes in regular swimming exercise. MethodsIn this study, experimental rats were subjected to daily moderate-intensity swimming exercise for 7 weeks. Urine samples were collected at weeks 2, 5, and 7 and were analyzed by using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). ResultsUnsupervised clustering analysis of all urinary proteins identified at week 2 showed that the swimming group was distinctively different from the control group. Compared to the control group, a total of 112, 61 and 44 differential proteins were identified in the swimming group at weeks 2, 5 and 7, respectively. Randomized grouping statistical analysis showed that more than 85% of the differential proteins identified in this study were caused by swimming exercise rather than random allocation. According to the Human Protein Atlas, the differential proteins that have human orthologs were strongly expressed in the liver, kidney and intestine. Functional annotation analysis revealed that these differential proteins were involved in glucose metabolism and immunity-related pathways. ConclusionOur results revealed that the urinary proteome could reflect significant changes following regular swimming exercise. These findings may suggest an approach to monitoring whether the amount of exercise is appropriate.

biochemistry↗

bioRxiv2020

The face module emerges from domain-general visual experience: a deprivation study on deep convolution neural network

Can faces be accurately recognized with zero experience on faces? The answer to this question is critical because it examines the role of experiences in the formation of domain-specific modules in the brain. However, thorough investigation with human and non-human animals on this issue cannot easily dissociate the effect of the visual experience from that of genetic inheritance, i.e., the hardwired domain-specificity. The present study addressed this problem by building a model of selective deprivation of the experience on faces with a representative deep convolutional neural network (DCNN), AlexNet. We trained a new AlexNet with the same image dataset, except that all images containing faces of human and nonhuman primates were removed. We found that the experience-deprived AlexNet (d-AlexNet) did not show significant deficits in face categorization and discrimination, and face-selective modules also automatically emerged. However, the deprivation made the d-AlexNet to process faces in a more parts-based fashion, similar to the way of processing objects. In addition, the face representation of the face-selective module in the d-AlexNet was more distributed and the empirical receptive field was larger, resulting in less degree of selectivity of the module. In sum, our study provides undisputable evidence on the role of nature versus nurture in developing the domain-specific modules that domain-specificity may evolve from non-specific stimuli and processes without genetic predisposition, which is further fine-tuned by domain-specific experience.

neuroscience↗

bioRxiv2020

Semantic relatedness emerges in deep convolutional neural networks designed for object recognition

Human not only can effortlessly recognize objects, but also characterize object categories into semantic concepts and construct nested hierarchical structures. Similarly, deep convolutional neural networks (DCNNs) can learn to recognize objects as perfectly as human; yet it is unclear whether they can learn semantic relatedness among objects that is not provided in the learning dataset. This is important because it may shed light on how human acquire semantic knowledge on objects without top-down conceptual guidance. To do this, we explored the relation among object categories, indexed by representational similarity, in two typical DCNNs (AlexNet and VGG11). We found that representations of object categories were organized in a hierarchical fashion, suggesting that the relatedness among objects emerged automatically when learning to recognize them. Critically, the emerged relatedness of objects in the DCNNs was highly similar to the WordNet in human, implying that top-down conceptual guidance may not be a prerequisite for human learning the relatedness among objects. Finally, the developmental trajectory of the relatedness among objects during training revealed that the hierarchical structure was constructed in a coarse-to-fine fashion, and evolved into maturity before the establishment of object recognition ability. Taken together, our study provides the first empirical evidence that semantic relatedness of objects emerged as a by-product of object recognition, implying that human may acquire semantic knowledge on objects without explicit top-down conceptual guidance.

neuroscience↗

bioRxiv2020

DNNBrain: a unifying toolbox for mapping deep neural networks and brains

Deep neural networks (DNNs) have attained human-level performance on dozens of challenging tasks through an end-to-end deep learning strategy. Deep learning gives rise to data representations with multiple levels of abstraction; however, it does not explicitly provide any insights into the internal operations of DNNs. Its success appeals to neuroscientists not only to apply DNNs to model biological neural systems, but also to adopt concepts and methods from cognitive neuroscience to understand the internal representations of DNNs. Although general deep learning frameworks such as PyTorch and TensorFlow could be used to allow such cross-disciplinary studies, the use of these frameworks typically requires high-level programming expertise and comprehensive mathematical knowledge. A toolbox specifically designed for cognitive neuroscientists to map DNNs and brains is urgently needed. Here, we present DNNBrain, a Python-based toolbox designed for exploring internal representations in both DNNs and the brain. By integrating DNN software packages and well-established brain imaging tools, DNNBrain provides application programming and command line interfaces for a variety of research scenarios, such as extracting DNN activation, probing DNN representations, mapping DNN representations onto the brain, and visualizing DNN representations. We expect that our toolbox will accelerate scientific research in applying DNNs to model biological neural systems and utilizing paradigms of cognitive neuroscience to unveil the black box of DNNs.

neuroscience↗

bioRxiv2020

Hierarchical sparse coding of objects in deep convolutional neural networks

Recently, deep convolutional neural networks (DCNNs) have attained human-level performances on challenging object recognition tasks owing to their complex internal representation. However, it remains unclear how objects are represented in DCNNs with an overwhelming number of features and non-linear operations. In parallel, the same question has been extensively studied in primates brain, and three types of coding schemes have been found: one object is coded by entire neuronal population (distributed coding), or by one single neuron (local coding), or by a subset of neuronal population (sparse coding). Here we asked whether DCNNs adopted any of these coding schemes to represent objects. Specifically, we used the population sparseness index, which is widely-used in neurophysiological studies on primates brain, to characterize the degree of sparseness at each layer in two representative DCNNs pretrained for object categorization, AlexNet and VGG11. We found that the sparse coding scheme was adopted at all layers of the DCNNs, and the degree of sparseness increased along the hierarchy. That is, the coding scheme shifted from distributed-like coding at lower layers to local-like coding at higher layers. Further, the degree of sparseness was positively correlated with DCNNs performance in object categorization, suggesting that the coding scheme was related to behavioral performance. Finally, with the lesion approach, we demonstrated that both external learning experiences and built-in gating operations were necessary to construct such a hierarchical coding scheme. In sum, our study provides direct evidence that DCNNs adopted a hierarchically-evolved sparse coding scheme as the biological brain does, suggesting an implementation-independent principle of representing a myriad of objects efficiently.

neuroscience↗

bioRxiv2020

Cross-Protection Against Zika Virus Infection Conferred by a Live Attenuated Japanese Encephalitis SA14-14-2 Vaccine

Zika virus (ZIKV) and Japanese encephalitis virus (JEV) are closely related mosquito-borne flaviviruses. Japanese encephalitis (JE) vaccine SA14-14-2 has been in the Chinese national Expanded Program on Immunization since 2007. The recent recognition of severe disease syndromes associated with ZIKV, and the identification of ZIKV from mosquitoes in China, prompts an urgent need to investigate the potential interaction between the two. In this study, we showed that SA14-14-2 is protective against ZIKV infection in mice. JE vaccine SA14-14-2 triggered both Th1 and Th2 cross-reactive immune responses to ZIKV; however, it was cellular immunity that predominantly mediated cross-protection against ZIKV infection. Passive transfer of immune sera did not result in significant cross-protection, but did mediate antibody dependent enhancement in vitro, though this did not have an adverse impact on survival. This study suggests that SA14-14-2 vaccine can protect against ZIKV through a cross-reactive T cell response. This is vital information in terms of ZIKV prevention or precaution in those ZIKV-affected regions where JEV circulates or SA14-14-2 is in widespread use, and opens a promising avenue into developing a novel bivalent vaccine against both ZIKV and JEV. ImportanceJapanese encephalitis is a controllable disease in many countries in Asia, especially in China, where many people have Japanese encephalitis virus (JEV) immunity due to extensive JEV vaccination campaigns or natural exposure. Live-attenuated SA14-14-2 strain is a safe and effective vaccine recommended by the World Health Organization and has been vaccinated more than 600 million doses since 1989. As the prevalence of Zika virus (ZIKV) and rising risk in above regions, the cross-reactive immune response between these two antigenically closely related flaviviruses, JEV and ZIKV, should also be fully recognized, which is presumed to be based on those ambiguous cross-reactive immunity between dengue virus and ZIKV. In this study, we found that JEV SA14-14-2 vaccine conferred cross-protection against ZIKV challenge in mice, which is mainly due to cellular immunity rather than neutralizing antibody response. However, specific protective components or cooperation between components warrant to be explored in subsequent experiments. In conclusion, this study can provide important evidence for those who live in JEV-endemic areas and are at risk for ZIKV infection.

microbiology↗