Biology subjects

Jiao, J.

Publications and source records attributed to Jiao, J..

At least 19 recordsLinked to original sources

bioRxiv2026

LifeSciBench: Evaluating Language Models on Realistic, Expert-Level Tasks in the Life Sciences

We introduce LifeSciBench, a benchmark of 750 expert-authored tasks designed to evaluate whether language models can handle realistic life science research work. The majority of existing life sciences benchmarks have a narrow scope or are purely knowledge-based, and therefore fail to capture the complexity of real-world research, which often involves ambiguities and requires the accurate execution of multiple dependent judgment calls. Additionally, almost all existing benchmarks span at best a small collection of subdomains within the life sciences; there is at present no existing life sciences benchmark with both the requisite breadth and depth required to convincingly measure proficiency in real-world professional research settings. LifeSciBench addresses this gap by spanning seven representative scientific workflows and seven life science domains, with each constituent task paired with a human expert-written rubric. Across five frontier and domain-specialized models, GPT-Rosalind performs best, with a task-weighted mean normalized rubric score of 0.576 and a task-weighted response pass rate of 36.1% (response-level values are first averaged within each task, and the resulting task-level values are then averaged with equal weight). LifeSciBench remains unsaturated, with 171 tasks (22.8%) having no observed passing response from any evaluated model and 261 tasks (34.8%) having a best-model pass rate below 20%. LifeSciBench therefore serves as a high-resolution evaluation of practical scientific reasoning and operational decision-making in the life sciences.

bioinformatics↗

bioRxiv2026

G4 Eurasian avian-like H1N1 swine influenza viruses exhibit enhanced pathogenicity potential in mice and pigs

Currently circulating swine influenza viruses (SIVs) mainly include H1N1, H1N2, and H3N2 subtypes. In this study, two G4 genotype Eurasian avian-like (EA) H1N1 SIVs were isolated from 556 samples collected between 2023 and 2026. A systematic analysis was conducted on the two EA H1N1 isolates (FYD30 and YZF69) to assess their pandemic potential. The hemagglutinin (HA) proteins of both H1N1 viruses possessed residues 225E and 228S, indicating enhanced affinity for human-like -2,6-linked sialic acid receptors, which was confirmed by receptor-binding assays. Polymerase activity tests demonstrated that the two SIVs exhibited significantly higher activity in mammalian cells, relative to avian cells, which is consistent with the efficient replication in mammalian cells. Challenge experiments revealed that both H1N1 caused significant pathogenicity in mice and pigs, with YZF69 exhibited higher virulence than FYD30. The higher virulence of YZF69 may be attributed to its molecular features, including the NP Q357K mutation, and an additional glycosylation site in HA. In conclusion, currently circulating EA H1N1 SIVs have acquired key molecular signatures of mammalian adaptation, exhibit enhanced virulence in mammals, and continue to undergo extensive reassortment driven by international swine trade. These findings highlight the potential pandemic risk of SIVs and underscore the urgent need for strengthened surveillance.

microbiology↗

bioRxiv2026

Species-specific regulation of porcine STING stability and antiviral signaling via its K61 mediated K48 ubiquitination and proteasome degradation

The cGAS-STING pathway has been widely recognized as a critical DNA-sensing pathway that plays a broad-spectrum antiviral role. Livestock, especially pigs, represents one of the most important meat sources. In this study, we identified a key lysine 61 (K61) of porcine STING (pSTING) that plays an essential role in its degradation and antiviral signaling in a species-specific manner, with K61 as the major lysine of pSTING for K48-linked ubiquitination. After virus infection, pSTING recruits the E3 ligase, RNF5, which specifically assembles a K48-linked ubiquitin chain at K61, thereby mediating pSTING proteasomal degradation and reducing its antiviral activity. Meanwhile, the deubiquitylation of K61 is mediated mainly by deubiquitinase USP20, which enhances the stability and antiviral activity of pSTING. Together, given the relatively few lysine numbers in livestock STINGs and species-specific K61 regulation of pSTING stability and antiviral function, the K61 and its specific regulatory enzymes of pSTING could serve as potential targets for breeding of antiviral pigs and design of antiviral drugs, respectively.

immunology↗

bioRxiv2026

3D Cell-Matrix Mechanical Interaction Models for Cancer Invasion and Drug Evaluation

Cancer cells breach the extracellular matrix (ECM) using both protease-driven degradation and force-driven physical remodeling, yet most anti-metastatic drug screens still rely on biochemical assays that overlook cell-matrix mechanical reciprocity. Here, we present a fully synthetic 3D invasion platform based on cellular force-responsive polyisocyanide (PIC) hydrogels that isolates biophysical invasion mechanisms. Cell-generated forces align and densify the PIC fibrous network, reproducing hallmark matrix remodeling seen in the tumor microenvironment. A constitutive model, parameterized by the critical stress for strain stiffening effect, links matrix nonlinear elasticity to pericellular stiffening, long-range mechanotransmission, and intercellular coupling. Using this system, we show that breast cancer cells invade by pulling and pushing the network even when matrix metalloproteinases are inhibited, revealing a physical bypass of protease blockade. Accordingly, broad-spectrum metalloproteinase inhibitors that suppress invasion in Matrigel fail to inhibit invasion here, exposing a limitation of current drug-evaluation pipelines. In co-culture, cancer-associated fibroblasts markedly accelerate invasion by generating aligned fiber tracks through higher contractility, implicating CAF-driven mechanical remodeling as a key route for breaching barriers during metastasis. The platform is thermoresponsive, compatible with standard Transwell formats, enables direct imaging of fiber architecture and invasion fronts, and decouples biophysical from biochemical cues for mechanism-aware, animal-free assessment of anti-metastatic therapies.

cancer biology↗

bioRxiv2025

Comparative evaluation of reference genomes and cell-type annotation frameworks for single-nucleus transcriptomic analysis in apple

Single-nucleus RNA sequencing (snRNA-seq) provides a powerful tool to profile cell-type-specific transcriptional programs in woody fruit trees. Yet its application in Malus domestica has been limited by heterogeneous reference genomes and the lack of validated marker genes. Here, we first established a comprehensive set of marker genes corresponding to 29 plant cell types and identified their orthologs in apple. Using these resources, we systematically evaluated six publicly available apple genome assemblies as references for snRNA-seq analysis. Our results demonstrate that reference genome selection has a major impact on mapping performance and downstream cell type annotation, with the GDDH13 assembly consistently producing the highest transcript counts per nucleus and the greatest number of identifiable transcriptional clusters (15 clusters representing 11 distinct cell types across 35,557 high-quality nuclei). To achieve robust cell type annotation, we integrated classical marker gene-based annotation with two cross-species computational frameworks -- Orthologous Marker Gene Groups (OMGs) and XSpeciesSpanner. These three approaches enabled confident identification of 11 major cell types in apple seedlings and provided cross-validation for ambiguous or previously unannotated clusters. Pseudotime analysis reconstructed the developmental trajectories of both procambial and stomatal lineages, revealing their progressive transcriptional transitions and enabling the delineation of key molecular programs underlying vascular differentiation and early guard-cell formation. Together, this work provides a reference-quality single-nucleus transcriptomic atlas for apple and underlined the critical impact of genome choice and multi-method cell-type annotation on single-cell studies in non-model crops.

bioinformatics↗

bioRxiv2025

Spatial Transcriptomics Reveal Developmental Dynamics of the Human Cerebral Cortex and Striatum

The human fetal brain undergoes morphological changes that contribute to the development of regional functionalities. However, the features of structural development, the underlying molecular and cellular signatures in the fetal brain remain unclear. With spatial transcriptomics and snRNA-seq, we identified 25 forebrain regions and characterized the dynamic changes in the cortex and striatum during the late first and early second trimesters. In particular, we discovered that temporal lobe enriched NPY-expressing L2/3 EX neuron potentially interacted with L4 EX neurons during cortical expansion and arealization. Additionally, the gyrus and sulcus were developmental asynchronous, in which HOPX and SPARC genes were potentially involved. Further investigation on the striatum showed specific genes and cell types that enriched in patch and matrix compartments, and SST-positive interneurons potentially involved in the development of these structures. Together, our results give insights into the understanding of early fetal brain development.

bioinformatics↗

bioRxiv2025

Selenoprotein P Deficiency Drives Hepatocellular Carcinoma Progression via Induction of Neutrophil Senescence and Immunosuppressive Microenvironment

The tumor immune microenvironment (TIME) is critically shaped by immunosuppressive neutrophils, yet the molecular mechanisms underlying the functional reprogramming of these neutrophils remain poorly understood. Here, through integrative analysis of single-cell RNA sequencing (scRNA-seq) we showed the presence, in hepatocellular carcinoma (HCC) mice, of a novel subpopulation of senescent-like neutrophils that exhibit hepatic depletion of Sepp1 in concert with the accumulation of the cellular senescence marker Cdkn1a, the immunosuppressive proteins S100a8 and 9, and the pro-angiogenic factor Vegfa. Furthermore, we demonstrated that the hepatic depletion of Sepp1, in combination with this unique subset of senescent neutrophils, drives immunosuppressive activity and further accelerates tumor growth. Mechanistically, the loss of tumor cell-derived Sepp1 impaired selenium uptake in tumor-infiltrating neutrophils (TINs) by disrupting Lrp8 receptor-mediated transport, thereby suppressing intracellular selenium metabolism. This metabolic perturbation led to reduced hydrogen selenide (H2Se) production and accumulation of S-adenosylmethionine (SAM), resulting in increased levels of trimethylation of lysine 4 on histone H3 protein (H3K4me3) modification in neutrophils and collectively establishing a pro-senescence chromatin landscape in tumor-associated neutrophils. Furthermore, we demonstrated that selenium supplementation not only restores Sepp1 expression but also is essential to reshaping anti-tumor immunity in HCC mice, including reversal of the senescent-like phenotype and providing synergistic effects with anti-Programmed cell death 1 (anti-PD-1) therapy. Collectively, our findings identify SEPP1 as a master regulator acting against neutrophil senescence and the potent immunosuppressive effects of senescence in HCC. We discuss the therapeutic potential of strategies to modulate senescent-like neutrophils and underscore the potential utility of selenium supplementation as an adjuvant to enhance immunotherapy efficacy in liver cancer.

cancer biology↗

bioRxiv2025

YTHDF3 promotes the progression of gastric cancer by activating Wnt/β-catenin signaling pathway via targeting NEK7

Gastric cancer (GC) is a widespread and deadly malignancy among global digestive tract tumors, alarmingly ranked the fifth most common cancer in terms of incidence and mortality. This study used immunohistochemistry and RT-qPCR to reveal a significant upregulation of YTHDF3 expression in GC tissues compared with that of adjacent normal tissues. This increased expression of YTHDF3 was closely associated with the incidence of lymph node metastasis and the progression to more advanced TNM stages. In vitro experiments demonstrated that YTHDF3 was crucial in promoting the aggressive characteristics of GC cells by enhancing their ability to proliferate, migrate, and invade, while simultaneously inhibiting apoptosis. The role of YTHDF3 in the progression of GC was further confirmed using the BALB/c nude mice subcutaneous tumor model, which showed a slowed tumor growth after YTHDF3 knockdown. This study further confirmed through Co-IF RIP-qPCR, western blotting, and rescue studies that YTHDF3 promotes GC progression by targeting NEK7 to regulate the Wnt/{beta}-catenin signaling pathway. In conclusion, our pivotal findings highlight the YTHDF3/NEK7/Wnt/{beta}-catenin axis as a promising and accessible therapeutic target for the development of new treatments aimed at improving clinical outcome of patients with GC.

cancer biology↗

bioRxiv2024

ITGB4 promotes the progression of colorectal cancer by activating Wnt/β-catenin signaling pathway via targeting EZR

ObjectivesColorectal cancer (CRC) is a major cause of cancer-related mortality worldwide. Integrin beta 4 (ITGB4) has been previously identified as being overexpressed in CRC; however, its precise oncogenic mechanism remains unclear. The present study aimed to elucidate the functional role of ITGB4 in CRC progression and identify its downstream molecular effectors to provide new insights for targeted therapy. MethodsThe biological functions of ITGB4 were investigated in CRC cell lines (SW480 and HCT116) using a series of in vitro assays, including CCK-8, colony formation, Transwell migration and invasion, and flow cytometry for apoptosis following ITGB4 knockdown. An in vivo xenograft mouse model was used to evaluate the effect of ITGB4 on tumor growth. Downstream targets were screened using RNA sequencing (RNA-seq) and validated by co-immunoprecipitation and co-immunofluorescence. The underlying signaling pathway was investigated by Western blotting and functional rescue experiments. ResultsKnockdown of ITGB4 significantly suppressed CRC cell proliferation, migration, and invasion, while promoting apoptosis in vitro. Similarly, silencing ITGB4 markedly inhibited tumor growth in the in vivo xenograft model. RNA-seq analysis identified Ezrin (EZR) as a key downstream target of ITGB4, and a direct protein-protein interaction was confirmed between them. Mechanistically, ITGB4 knockdown decreased the expression of EZR at both the mRNA and protein levels. ITGB4 was demonstrated to exert its pro-tumorigenic effects through the regulation of EZR, which subsequently activated the Wnt/{beta}-catenin signaling pathway. Interestingly, EZR overexpression partially restored ITGB4 levels, suggesting a potential positive feedback loop via Wnt/{beta}-catenin signaling that further amplifies this oncogenic axis. Notably, the malignant phenotypes suppressed by ITGB4 silencing were significantly rescued by the overexpression of EZR. ConclusionThe present study identified a novel ITGB4/EZR/Wnt/{beta}-catenin signaling axis in colorectal cancer. ITGB4 promotes CRC progression by modulating EZR expression and subsequently activating the Wnt/{beta}-catenin pathway. These findings highlight ITGB4 as a potential prognostic biomarker and a promising therapeutic target for CRC.

molecular biology↗

bioRxiv2024

The m6A reader IGF2BP3 promotes gastric cancer progression via increasing the expression of FBXO32 protein

N6-methyladenosine (m6A) represents the most prevalent chemical modification on eukaryotic mRNA, with an accumulating body of literature indicating its pivotal significance in the pathogenesis of human cancers. Nevertheless, the precise molecular interplay between the m6A reader protein IGF2BP3 and gastric cancer remains to be thoroughly delineated. Our study uncovered that the expression of IGF2BP3 in gastric cancer tissues is markedly elevated in comparison to adjacent normal tissues, and this upregulation is tightly correlated with the incidence of lymph node metastasis, more advanced TNM stages, and deeper invasion depth of tumor in patients. In vitro experiments demonstrated that IGF2BP3 potentiates the proliferative, migratory, and invasive capacities of gastric cancer cells, while concurrently inhibiting apoptosis and augmenting the intracellular levels of aerobic glycolysis. In vivo experiments revealed that IGF2BP3 contributes to the growth of gastric cancer. Mechanistically, IGF2BP3 can increase the expression of FBXO32 protein by recognizing and binding to the m6A binding site on FBXO32 mRNA and further activate the downstream cGMP-PKG signaling pathway, thereby modulating various biological functions of gastric cancer cells and ultimately promoting the progression of gastric cancer. In summary, our findings suggest that IGF2BP3 upregulates the expression of FBXO32 protein in an m6A dependent manner and subsequently activates the cGMP-PKG signaling pathway, ultimately leading to the onset and progression of gastric cancer. Consequently, the targeting of the IGF2BP3/FBXO32/cGMP-PKG axis emerges as a promising therapeutic modality for the treatment of gastric cancer.

cancer biology↗

bioRxiv2024

Super Pangenome of Grapevines Empowers Improvement of the Oldest Domesticated Fruit

Grapevine (Vitis) is the oldest domesticated fruit crop with great cultural and economic importance. Here, we assemble and annotate haplotype-resolved genomes of 72 Vitis accessions including 25 wild and 47 cultivated grapevines, and a haplotype-resolved complete genome of V. vinifera. Coalescent phylogenomics of 142 haplotype genomes disentangles the mysterious hybridization history of grapevines, revealing enormous genetic diversity among species. Pangenome analysis together with phenotyping data reveals that European cultivars, more susceptible to the most destructive disease downy mildew (DM), had a smaller repertoire of disease resistance genes of NLR family. Through extensive structural variation (SV) characterization, phenotyping, transcriptome profiling of 113 Vitis accessions, and SV-eQTL analysis, we have identified over 79 SVs and their relevant genes significantly associated with DM resistance, exemplified by a lysine histidine transporter, VvLHT8. This haplotype-resolved complete genome and pangenome of Vitis genus will accelerate grapevine breeding and enrich our understanding of the evolution and biology of grapevines.

plant biology↗

bioRxiv2023

The ubiquitin-conjugating enzyme UBE2D/eff maintains a youthful proteome and ensures protein quality control during aging

Ubiquitin-conjugating enzymes (E2s) are key for regulating protein function and turnover via ubiquitination but it remains undetermined which E2s maintain proteostasis during aging. Here, we find that E2s have diverse roles in handling a model aggregation-prone protein (huntingtin-polyQ) in the Drosophila retina: while some E2s mediate aggregate assembly, UBE2D/effete (eff) and other E2s are required for huntingtin-polyQ degradation. UBE2D/eff is key for proteostasis also in skeletal muscle: eff protein levels decline with aging, and muscle-specific eff knockdown causes an accelerated buildup in insoluble poly-ubiquitinated proteins (which progressively accumulate with aging) and shortens lifespan. Transgenic expression of human UBE2D2, homologous to eff, partially rescues the lifespan and proteostasis deficits caused by muscle-specific effRNAi by re-establishing the physiological levels of effRNAi-regulated proteins, which include several regulators of proteostasis. Interestingly, UBE2D/eff knockdown in young age reproduces part of the proteomic changes that normally occur in old muscles, suggesting that the decrease in UBE2D/eff protein levels that occurs with aging contributes to reshaping the composition of the muscle proteome. Altogether, these findings indicate that UBE2D/eff is a key E2 ubiquitin-conjugating enzyme that ensures protein quality control and helps maintain a youthful proteome composition during aging.

cell biology↗

bioRxiv2023

Generation of CRISPR-edited birch Plants without DNA integration using Agrobacterium-mediated Transformation Technology

CRISPR/Cas9 system has emerged as a powerful tool in genome editing; however, generation of CRISPR-edited DNA-free plants is still challenging. In this study, Betula platyphylla (birch) was used to build a method to generate CRISPR-edited plant without foreign DNA integration using Agrobacterium-mediated transformation (CPDAT method). This technique utilizes transient genetic transformation to introduce T-DNA coding gRNA and Cas9 into birch cells, and T-DNA will express to synthesize gRNA and Cas9 protein, which will form a complex to cleave the target DNA site. The genome may be mutated due to DNA repair, and these mutations will be preserved and accumulated not dependent on whether T-DNA is integrated into the genome or not. After transient transformation, birch plants were cut into explants to induce adventitious buds without antibiotic selection pressure. Each adventitious bud can be considered as an independent potentially CRISPR-edited line for mutation detection. CRISPR-edited birch plants without foreign DNA integration are further selected by screening CRISPR-edited lines without T-DNA integration. Among 65 randomly chosen independent lines, the mutation rate was 80.00% including 40.00% of lines with both alleles mutated. In addition, 5 lines out of 65 studied lines (7.69%) were CRISPR-edited birch plants without DNA integration. In conclusion, this innovative method presents a novel strategy for generating CRISPR-edited birch plants, thereby significantly enhancing the efficiency of generating common CRISPR-edited plants. These findings offer considerable potential to develop plant genome editing techniques further.

genetics↗

bioRxiv2023

Tumor sialylation is a barrier against CD8 T cell-mediated anti-tumor responses and anti-PD-1 resistance in breast cancer

Breast cancer is the most common cancer among women. However, the use of immune checkpoint inhibitors, that have revolutionized treatment of multiple cancers, unfortunately remain largely ineffective in most breast cancer patients. Here, we report the most comprehensive glycoproteome map in breast tumor cells, pointing to a key role of sialic acid modifications in mammary cancer. Genetic and pharmacologic inhibition of sialylation repolarizes the tumor microenvironment, leading to a reduction in myeloid-derived suppressor cells and a significant increase in Tcf7+ memory and CD8+ effector T cells. Mechanistically, sialylation controls cell surface expression of MHC class I and PD-1-ligand on the tumor cells. Functionally, in vivo interference with sialylation on breast cancer cells licenses CD8+ T cells to effectively kill the tumors. In multiple immunotherapy-resistant breast tumor models, we also show that the abrogation of sialylation sensitizes to anti-PD-1 immune checkpoint therapy. We further demonstrate that hyper-sialylation occurs in over half of human breast cancers tested and correlates with poor T cell infiltration. Our results establish sialylation as a central immunoregulator in breast cancer, orchestrating multiple pathways of immune evasion. Targeting tumor sialylation licenses immunologically inert mammary tumors to be efficiently eliminated by anti-cancer immunity and sensitizes to immune checkpoint therapy.

cancer biology↗

bioRxiv2023

CD8 T-cell dysfunction is linked with CAR T-cell failure and can be mitigated by a non-alpha IL-2 agonist, pegenzileukin

Chimeric antigen receptor (CAR) T-cell therapy has been a breakthrough for relapsed or refractory large B-cell lymphoma (rrLBCL). However, suboptimal CAR T-cell activity can lead to therapeutic failure and dismal outcome. Using single cell RNA-sequencing of rrLBCL tumors, we identify a prominent population of clonally expanded dysfunctional CAR+ CD8 T-cells indicative of ongoing tumor cell engagement, proliferation, and dysfunction at the time of progression from CAR T-cell therapy. Furthermore, we show that rrLBCL patient-derived CAR T-cells are more prone to dysfunction and loss of cytotoxicity compared to healthy donor-derived CAR T-cells. Using both antigen-driven and CAR-driven models of T-cell dysfunction, we show that pegenzileukin, a non-alpha IL2 agonist, can prevent T-cell dysfunction. In both in vitro and in vivo CAR T-cell models, pegenzileukin improved T-cell expansion and tumor control. This provides pre-clinical rational for use of pegenzileukin in combatting T-cell dysfunction, a central mechanism of CAR T-cell failure. HIGHLIGHTSO_LITumor-infiltrating CD8 CAR T-cells show clonal expansion and dysfunction at the time of progression. C_LIO_LIrrLBCL patient-derived CAR T-cells are more prone to dysfunction compared to healthy-donor-derived CAR T-cells. C_LIO_LIPegenzileukin, a non-alpha IL2 agonist, rescues antigen- and CAR-driven CD8 T-cell dysfunction and improves CAR T-cell responses in vivo. C_LI

immunology↗

bioRxiv2021

B1L regulates lateral root development by exocytic vesicular trafficking-mediated polar auxin transport

Auxin and auxin-mediated signaling pathways involved in the regulation of lateral root development are well documented. Although exocytic vesicle trafficking plays an important role in auxin efflux carriers PIN recycling, and polar auxin transport during lateral root formation, however, the mechanistic details of these processes are not well understood. Here, we demonstrate that BYPASS1-LIKE (B1L) regulate lateral root development via exocytic vesicular trafficking-mediated polar auxin transport in Arabidopsis. In b1l mutants, the number of lateral roots increased significantly, and the phenotypes were mainly attributed to lateral root primordium initiation but not to the defects in lateral root primordium development. Furthermore, the auxin signal was stronger in the lateral root primordium of the b1l mutant at stage I than those observed in the wild-type (WT). Moreover, exogenous auxin and auxin transport inhibitory treatments indicated that the phenotype of lateral roots in b1l mutants can be attributed to higher auxin levels and that B1L regulates auxin efflux. Consistently, auxin efflux carriers PIN1-GFP and PIN3-GFP were expressed at higher levels in the lateral root primordium of the b1l mutants. Interestingly, we found that B1L interacted with the exocyst and b1l mutant showed a defect in PIN2 exocytosis. Finally, we found that B1L cooperated with EXO70B1 to regulate lateral root formation. Our findings reveal an essential regulatory mechanism of B1L that interacts with the exocyst to regulate PIN-mediated polar auxin transport and lateral root initiation.

plant biology↗

bioRxiv2021

How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy

With the development of social media, the information about vector-borne disease incidence over broad spatial scales can cause demand for local vector control before local risk exists. Anticipatory intervention may still benefit local disease control efforts; however, infection risks are not the only focal concerns governing public demand for vector control. Concern for environmental contamination from pesticides and economic limitations on the frequency and magnitude of control measures also play key roles. Further, public concern may be focused more on ecological factors (i.e., controlling mosquito populations) or on epidemiological factors (i.e., controlling infection-carrying mosquitoes), which may lead to very different control outcomes. Here we introduced a generic Ross-MacDonald model, incorporating these factors under three spatial scales of disease information: local, regional, and global. We tailored and parameterized the model for Zika virus transmitted by Aedes aegypti mosquito. We found that overreaction caused by larger-scale incidence information could decrease average human infections per patch breeding capacity, however, the associated increase in total control effort plays a larger role, which leads to an overall decrease in control efficacy. The shift of focal concerns from epidemiological to ecological risk could relax the negative effect of overreaction on control efficacy when mosquito breeding capacity populations are expected to be large. This work demonstrates that, depending on expected total mosquito breeding capacity population size, and weights of different focal concerns, large-scale disease information can reduce disease infections without lowering control efficacy. Our findings provide guidance for vector-control strategies by considering public reaction through social media.

ecology↗

bioRxiv2020

Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation

Specific alterations of gut microbiota (GM) in atrial fibrillation (AF) patients, including elevated microbial diversity, particularly perturbed composition, imbalanced microbial function, and associated metabolic pattern modifications have been described in our previous report. The current work aimed to assess the association of GM composition with AF recurrence (RAF) after ablation, and to construct a GM-based predictive model for RAF. Gut microbial composition and metabolic profiles were assessed based on metagenomic sequencing and metabolomic analyses. Compared with non-AF controls (50 individuals), GM composition and metabolomic profile were significantly altered between patients with recurrent AF (17 individuals) and the non-RAF group (23 individuals). Notably, discriminative taxa between the non-RAF and RAF groups, including the families Nitrosomonadaceae and Lentisphaeraceae, the genera Marinitoga and Rufibacter, and the species Faecalibacterium sp. CAG:82, Bacillus gobiensis, and Desulfobacterales bacterium PC51MH44, were selected to construct a taxonomic scoring system based on LASSO analysis. An elevated area under curve (0.954) and positive net reclassification index (1.5601) for predicting RAF compared with traditional clinical scoring (AUC=0.6918) were obtained. The GM-based taxonomic scoring system theoretically improves the model performance. These data provide novel evidence that supports incorporating the GM factor into future recurrent risk stratification.

genomics↗