Biology subjects

Li, Q.

Publications and source records attributed to Li, Q..

At least 487 records · Page 27Linked to original sources

bioRxiv2022

Tinamou egg color displacement at eco-geographical and song space overlap

The divergence of reproductive traits frequently underpins the evolution of reproductive isolation. Here we investigated the hypothesis that tinamou (Tinamidae) egg coloration functions as a mating signal and its diversification was driven by reinforcement. For many tinamou species, the male guards the nest that is sequentially visited and laid eggs in by multiple females. The colorations of the existing eggs in the nest could signal mate quality and species identities to both the incubating male and the upcoming females, preventing costly hybridization, thus were selected to diverge among species (Mating Signal Character Displacement Hypothesis). If so, two predictions should follow: (1) egg colors should coevolve with known mating signals as the tinamou lineages diverged; (2) species that partition similar eco-geography should display different egg colors. The tinamou songs are important mating signals and are highly divergent among species. We found that the egg color was significantly associated with the first principal component of the song variables. In addition, tinamou species with similar eco-geography tend to display different egg colors, while controlling for song variation among species. Mating signal evolution could be opportunistic and even exploit post-mating trait as premating signals that undergo character displacement in sympatry.

evolutionary biology↗

bioRxiv2022

The molecular mechanism of chloramphenicol and thiamphenicol resistance mediated by a novel oxidase CmO in Sphingomonadaceae

Antibiotic resistance mediated by bacterial enzyme inactivation plays a mysterious and crucial role for antibiotic degradation and selection pressure reduction in the environment. The enzymatic inactivation of the antibiotic chloramphenicol (CAP) involves nitro reduction, amide bond hydrolysis and acetylation modification. However, the molecular mechanism of enzymatic oxidation of CAP remains unknown. Here, a novel oxidase gene cmO was identified and confirmed biochemically to catalyze the resistance process through the oxidative inactivation at the side chain C-3 position of CAP and thiamphenicol (TAP) in Sphingomonadaceae. The oxidase CmO is highly conservative in Sphingomonadaceae and shares the highest amino acid homology of 41.05% with the biochemically identified glucose methanol choline (GMC) oxidoreductases. Molecular docking and site-directed mutagenesis analyses demonstrated that CAP was anchored inside the protein pocket of CmO with the hydrogen bonding of key residues glycine (G)99, asparagine (N)518, methionine (M)474 and tyrosine (Y)380. CAP sensitivity test demonstrated that the acetyltransferase and CmO showed higher resistance to CAP as compared with the amide bond-hydrolyzing esterase and nitroreductase. This study provides a better theoretical basis and a novel diagnostic gene for understanding and assessing the fate and resistance risk of CAP and TAP in the environment. ImportanceRising levels of antibiotic resistance undermines ecological and human health as a result of indiscriminate usage of antibiotics. Various resistance mechanisms have been revealed, for instance genes encoding proteins that degrade antibiotics, yet requiring further exploration. In this study, we reported a novel gene encoding an oxidase involved in the inactivation of typical amphenicol antibiotics (chloramphenicol and thiamphenicol), and the molecular mechanism was elucidated. The observation provides novel data to understand capabilities of bacteria to tackle antibiotic stress and suggests complex function of enzymes in the context of antibiotic resistance development and antibiotics removal. The reported gene can be further employed as an indicator to monitor amphenicols fate in the environment, benefiting the risk assessment in this era of antibiotic resistance.

microbiology↗

bioRxiv2022

Aerosolized Desert Dusts Collected Near a Drying Lake and Pulmonary Inflammation in Mice: Implications for Environmental Exposures and Asthma

BackgroundA high incidence of asthma is prevalent among residents near the Salton Sea, a large inland terminal lake in southern California. This arid region has high levels of ambient particulate matter (PM); yet while high PM levels are often associated with asthma in many environments, it is possible that the rapidly retreating lake may contribute components with a specific role in promoting asthma symptoms. ObjectivesOur hypothesis is that asthma may be higher in residents closest to the Salton Sea due to chronic exposures to playa dust. Playa emissions may be concentrating dissolved material from the lake, with microbial components capable of inducing pulmonary innate immune responses. Such inflammatory responses may contribute to the development of asthma-like symptoms in residents. To test this hypothesis, we used a mouse model of aerosol exposures to assess the effects of playa dust. MethodsFrom dust collected around the Salton Sea region, aqueous extracts were used to generate aerosols, which were injected into an environmental chamber for mouse exposure studies. We compared the effects of exposure to Salton Sea aerosols, as well as to known immunostimulatory reference materials. Acute 48-hour and chronic 7-day exposures were compared, with lungs analyzed for inflammatory cell recruitment and gene expression. ResultsDust from sites nearest to the Salton Sea triggered lung neutrophil inflammation that was stronger at 48-hours but reduced at 7-days. This acute inflammatory profile and kinetics resembled the response to innate immune ligands LTA and LPS while distinct from the classic allergic response to Alternaria. ConclusionLung inflammatory responses to Salton Sea dusts are similar to acute innate immune responses, raising the possibility that microbial components are entrained in the dust, promoting inflammation. This effect highlights the health risks at drying terminal lakes from inflammatory components in dust emissions from exposed lakebed.

pharmacology and toxicology↗

bioRxiv2022

A Small Subset of Cytosolic dsRNAs Must Be Edited by ADAR1 to Evade MDA5-Mediated Autoimmunity

The innate immune system detects viral infection via pattern recognition receptors and induces defense reactions such as production of type I interferon1. One such receptor, MDA5, is activated upon the recognition of double-stranded RNAs (dsRNAs) that are often produced during viral replication2. Endogenous dsRNAs evade MDA5 activation through RNA editing by ADAR1, thus preventing autoimmunity3-5. Among the large number of endogenous dsRNAs, the key substrates whose editing is critical to evade MDA5 activation (termed as immunogenic dsRNAs) remain elusive. Here we reveal the identity of human immunogenic dsRNAs, a surprisingly small fraction of all cellular dsRNAs, to fill the gap in the ADAR1-dsRNA-MDA5 axis. We found that, in contrast to previous findings6,7, the immunogenic dsRNAs were highly enriched in mRNAs and depleted of introns, an expected indication of bona fide substrates of cytosolic MDA5. The immunogenic dsRNAs, in contrast to non-immunogenic dsRNAs, tended to have shorter loop between the stems, which may facilitate dsRNA formation. They also tended to be enriched at the GWAS signals of common inflammatory diseases, implying that they are truly immunogenic. We validated the MDA5-dependent immunogenicity of the dsRNAs, which was dampened following ADAR1-mediated RNA editing. We anticipate that a focused analysis of immunogenic dsRNAs will greatly facilitate the understanding and treatment of cancer and inflammatory diseases in which the important roles of dsRNA editing and sensing continue to be revealed8-13.

genetics↗

bioRxiv2022

Development of molecular markers of the KTI mutant alleles generated by CRISPR/Cas9-mediated mutagenesis in soybean

The digestibility of soybean meal can be severely impacted by trypsin inhibitor (TI), one of the most abundant anti-nutritional factors present in soybean seeds. TI can restrain the function of trypsin, a critical enzyme that breaks down proteins in the digestive tract. Soybean accessions with low TI content have been identified. However, it is challenging to breed the low TI trait into elite cultivars due to a lack of molecular markers associated with low TI traits. We identified Kunitz trypsin inhibitor 1 (KTI1, Glyma01g095000) and KTI3 (Glyma08g341500) as two seed-specific TI genes. Mutant kti1 and kti3 alleles carrying small deletions or insertions within the gene open reading frames were created in the soybean cultivar Glycine max cv. Williams 82 (WM82) using the CRISPR/Cas9-mediated genome editing approach. The KTI content and TI activity both remarkably reduced in kti1/3 mutants compared to the WM82 seeds. There was no significant difference in terms of plant growth or maturity days of kti1/3 transgenic and WM82 plants in greenhouse condition. We further identified a T1 line, #5-26, that carried double homozygous kti1/3 mutant alleles, but not the Cas9 transgene. Based on the sequences of kti1/3 mutant alleles in #5-26, we developed markers to co-select for these mutant alleles by using a gel-electrophoresis-free method. The kti1/3 mutant soybean line and associated selection markers will assist in accelerating the introduction of low TI trait into elite soybean cultivars in the future.

plant biology↗

bioRxiv2022

Identify non-mutational p53 loss of function in human cancers

An accurate assessment of TP53s functional status is critical for cancer genomic medicine. However, there is a significant challenge in identifying tumors with non-mutational p53 inactivations that are not detectable through DNA sequencing. These undetected cases are often misclassified as p53-normal, leading to inaccurate prognosis and downstream association analyses. To address this issue, we build the support vector machine (SVM) models to systematically reassess p53s functional status in TP53 wild-type (TP53WT) tumors from multiple TCGA cohorts. Cross-validation demonstrates the excellent performance of the SVM models with a mean AUC of 0.9822, precision of 0.9747, and recall of 0.9784. Our study reveals that a significant proportion (87-99%) of TP53WT tumors actually have compromised p53 function. Additional analyses uncovered that these genetically intact but functionally impaired (termed as predictively reduced function of p53 or TP53WT-pRF) tumors exhibit genomic and pathophysiologic features akin to p53 mutant tumors: heightened genomic instability and elevated levels of hypoxia. Clinically, patients with TP53WT-pRF tumors experience significantly shortened overall survival or progression-free survival compared to those with TP53WT-pN (predictive normal function of p53) tumors, and these patients also display increased sensitivity to platinum-based chemotherapy and radiation therapy.

bioinformatics↗

bioRxiv2022

p53 restoration in small cell lung cancer identifies a latent Cyclophilin-dependent necrosis mechanism

The p53 tumor suppressor regulates multiple context-dependent tumor suppressive programs. Although p53 is mutated in [~]90% of small cell lung cancer (SCLC) tumors, how p53 mediates tumor suppression in this context is unknown. Here, using a mouse model of SCLC in which endogenous p53 expression can be conditionally and temporally regulated, we show that SCLC tumors maintain a requirement for p53 inactivation. However, we identified tumor subtype heterogeneity between SCLC tumors such that p53 reactivation induces a canonical senescence response in a subset of tumors, while, in others, p53 induces a non-apoptotic form of cell death that culminates in necrosis. We pinpointed the cyclophilin family of peptidyl prolyl cis-trans isomerases as critical determinants of a p53-induced transcriptional program that is specific to SCLC tumors and cell lines that are poised to undergo p53-mediated necrosis. Importantly, inhibition of cyclophilin isomerase activity suppresses SCLC subtype-specific p53-mediated death by limiting p53 transcriptional output without impacting chromatin binding. Our study demonstrates that intertumoral heterogeneity in SCLC can influence the biological response to p53 restoration, describes a novel mechanism of p53-regulated necrotic cell death, and uncovers new targets for the treatment of this most-recalcitrant tumor type.

cancer biology↗

bioRxiv2022

Identification and current palaeobiological understanding of "Keratosa"-type non-spicular demosponge fossils in carbonates: with a new example from the lowermost Triassic, Armenia

Fossilised fibrous skeletons of non-spicular demosponges have been reported in carbonates throughout the Phanerozoic and recently from rocks dated back to 890 Ma ago. These records expanded our understanding of metazoans in multiple aspects, including their early evolution, the cryptic ecology in fossil reefs, and recovery after mass extinction events. However, debates and confusion persist on the differentiation of these fossils from other biogenic or abiotic structures. Here we propose six identification criteria based on established taphonomical models and biological characteristics of these sponges ("Keratosa" sensu Minchin, 1900). Besides, sponge fossils of this kind from the lowermost Triassic of Chanakhchi (Armenia) are described with a 3-D reconstruction to exemplify the application of these criteria in the recognition of such organisms. Subsequently, the state-of-the-art understanding of the taxonomy and evolution of these fossil sponges, a previously poorly addressed topic, is summarized. The morphology of the Triassic Chanakhchi fossils indicates an affinity with Verongimorphs, a group that may have evolved by the Cambrian Age 3. Other than that, more efforts are still required to explore the taxonomic diversity and evolutionary details in the accumulating data of these fossil non-spicular demosponges.

paleontology↗

bioRxiv2022

COVID-19 Causes Ciliary Dysfunction as Demonstrated by Human Intranasal Micro-Optical Coherence Tomography Imaging

Severe acute respiratory syndrome coronavirus (SARS-CoV-2), causative agent of coronavirus disease 2019 (COVID-19), binds via ACE2 receptors, highly expressed in ciliated cells of the nasal epithelium. Micro-optical coherence tomography (OCT) is a minimally invasive intranasal imaging technique that can determine cellular and functional dynamics of respiratory epithelia at 1-m resolution, enabling real time visualization and quantification of epithelial anatomy, ciliary motion, and mucus transport. We hypothesized that respiratory epithelial cell dysfunction in COVID-19 will manifest as reduced ciliated cell function and mucociliary abnormalities, features readily visualized by OCT. Symptomatic outpatients with SARS-CoV-2 aged [≥] 18 years were recruited within 14 days of symptom onset. Data was interpreted for subjects with COVID-19 (n=13) in comparison to healthy controls (n=8). Significant reduction in functional cilia, diminished ciliary beat frequency, and abnormal ciliary activity were evident. Other abnormalities included denuded epithelium, presence of mucus rafts, and increased inflammatory cells. Our results indicate that subjects with mild but symptomatic COVID-19 exhibit functional abnormalities of the respiratory mucosa underscoring the importance of mucociliary health in viral illness and disease transmission. Ciliary imaging enables investigation of early pathogenic mechanisms of COVID-19 and may be useful for evaluating disease progression and therapeutic response. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/499336v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1f4bb17org.highwire.dtl.DTLVardef@271438org.highwire.dtl.DTLVardef@1a08762org.highwire.dtl.DTLVardef@184847_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2022

PhiPipe: a multi-modal MRI data processing pipeline with test-retest reliability and predicative validity assessments

Magnetic Resonance Imaging (MRI) has been one of the primary instruments to measure the properties of the human brain non-invasively in vivo. MRI data generally needs to go through a series of processing steps (i.e., a pipeline) before statistical analysis. Currently, the processing pipelines for multi-modal MRI data are still rare, in contrast to single-modal pipelines. Furthermore, the reliability and validity of the output of the pipelines are critical for the MRI studies. However, the reliability and validity measures are not available or adequate for almost all pipelines. Here, we present PhiPipe, a multi-modal MRI processing pipeline. PhiPipe could process T1-weighted, resting-state BOLD, and diffusion-weighted MRI data and generate commonly used brain features in neuroimaging. We evaluated the test-retest reliability of PhiPipes brain features by computing intra-class correlations (ICC) in four public datasets with repeated scans. We further evaluated the predictive validity by computing the correlation of brain features with chronological age in three public adult lifespan datasets. The multi-variate reliability and predictive validity of the PhiPipe results were also evaluated. The results of PhiPipe were consistent with previous studies, showing comparable or better reliability and validity when compared with two popular single-modality pipelines, namely DPARSF and PANDA. The publicly available PhiPipe provides a simple-to-use solution to multi-modal MRI data processing. The accompanied reliability and validity assessments could help researchers make informed choices in experimental design and statistical analysis. Furthermore, this study provides a framework for evaluating the reliability and validity of image processing pipelines.

bioinformatics↗

bioRxiv2022

MB-SupCon: Microbiome-based predictive models via Supervised Contrastive Learning

Human microbiome consists of trillions of microorganisms. Microbiota can modulate the host physiology through molecule and metabolite interactions. Integrating microbiome and metabolomics data have the potential to predict different diseases more accurately. Yet, most datasets only measure microbiome data but without paired metabolome data. Here, we propose a novel integrative modeling framework, Microbiome-based Supervised Contrastive Learning Framework (MB-SupCon). MB-SupCon integrates microbiome and metabolome data to generate microbiome embeddings, which can be used to improve the prediction accuracy in datasets that only measure microbiome data. As a proof of concept, we applied MB-SupCon on 720 samples with paired 16S microbiome data and metabolomics data from patients with type 2 diabetes. MB-SupCon outperformed existing prediction methods and achieves high average prediction accuracies for insulin resistance status (84.62%), sex (78.98%), and race (80.04%). Moreover, the microbiome embeddings form separable clusters for different covariate groups in the lower-dimensional space, which enhances data visualization. We also applied MB-SupCon on a large inflammatory bowel disease study and observed similar advantages. Thus, MB-SupCon could be broadly applicable to improve microbiome prediction models in multi-omics disease studies.

bioinformatics↗

bioRxiv2022

Phenotypic screening of the ReFrame Drug Repurposing Library to discover new drugs for treating sickle cell disease

Stem-cell transplantation and genetic therapies offer potential cures for patients with sickle cell disease (SCD) but these options require advanced medical facilities and are expensive. Consequently, these treatments will not be available to the vast majority of patients suffering from this disease for many years. What is urgently needed now is an inexpensive oral drug in addition to hydroxyurea, the only successful drug approved by the FDA that inhibits sickle-hemoglobin polymerization. Here we report results of the first phase of our phenotypic screen of the 12,657 compounds of the Scripps ReFrame drug repurposing library using a recently developed high-throughput assay to measure sickling times following deoxygenation to 0% oxygen of red cells from sickle trait individuals. The ReFrame library is a very important collection because the compounds are either FDA-approved drugs or have been tested in clinical trials. From dose-response measurements, 106 of the 12,657 compounds exhibit statistically significant anti-sickling at concentrations ranging from 31 nM to 10 M. Compounds that inhibit sickling of trait cells are also effective with SCD cells. As many as 21 of the 106 anti-sickling compounds emerge as potential drugs. This estimate is based on a comparison of inhibitory concentrations with free concentrations of oral drugs in human serum. Moreover, the expected therapeutic effect for each level of inhibition can be predicted from measurements of sickling times for cells from individuals with sickle-syndromes of varying severity. Our results should motivate others to develop one or more of these 106 compounds into drugs for treating SCD. Significance StatementThe vast majority of patients suffering from sickle cell disease live in under-resourced countries. Consequently, advanced medical facilities required for curative therapies, such as stem cell transplantation and gene therapy, will be unavailable to them for a long time. Hydroxyurea, approved by the FDA in 1998, is the only effective drug that inhibits polymerization of the mutant hemoglobin S that stiffens and distorts ("sickles") red cells, the root cause of the pathology. What is urgently needed now for these patients are additional, inexpensive oral anti-sickling drugs. Our high throughput phenotypic screen of the ReFrame drug repurposing library reported here discovered 106 compounds that are anti-sickling. On a statistical concentration basis, as many as 21 are predicted to be potential drugs.

pharmacology and toxicology↗

bioRxiv2022

Molecular atlas reveals the tri-sectional spinning mechanism of spider dragline silk

We performed the first molecular atlas of natural spider dragline silk production using genome assembly for the golden orb-web spider Trichonephila clavata and multiomics defining for the segmented major ampullate (Ma) gland: Tail, Sac, and Duct. We uncovered a hierarchical biosynthesis of spidroins, organic acids, lipids, and chitin in the sectionalized Ma gland dedicated to fine silk constitution. The ordered secretion of spidroins was achieved by the synergetic regulation of epigenetic and ceRNA signatures for genomic group-distributed spidroin genes. Single-cellular and spatial RNA profiling identified ten cell types with partitioned functional division determining the tri-sectional organization of the Ma gland. Convergent evolution and genetic manipulation analyses further validated that this tri-sectional architecture of the silk gland was analogous in silk-spinning animals and inextricably linked with silk formation. Our study provided multiple levels of data that significantly expand the knowledge of spider dragline silk generation and may eventually benefit spider-inspired fiber innovations.

genomics↗

bioRxiv2022

Virtual Liver Needle Biopsy from Reconstructed Three-Dimensional Histopathological Images: Quantification of Sampling Error

IntroductionPrevalently considered as the "gold-standard" for diagnosis of hepatic fibrosis and cirrhosis, the clinical liver needle biopsy is known to be subject to inadequate sampling and a high mis-sampling rate. However, quantifying such sampling bias has been difficult as generating a large number of needle biopsies from the same living patient is practically infeasible. We construct a three-dimension (3D) virtual liver tissue volume by spatially registered high resolution Whole Slide Images (WSIs) of serial liver tissue sections with a novel dynamic registration method. We further develop a Virtual Needle Biopsy Sampling (VNBS) method that mimics the needle biopsy sampling process. We apply the VNBS method to the reconstructed digital liver volume at different tissue locations and angles. Additionally, we quantify Collagen Proportionate Area (CPA) in all resulting virtual needle biopsies in 2D and 3D. ResultsThe staging score of the center 2D longitudinal image plane from each 3D biopsy is used as the biopsy staging score, and the highest staging score of all sampled needle biopsies is the diagnostic staging score. The Mean Absolute Difference (MAD) in reference to the Scheuer and Ishak diagnostic staging scores are 0.22 and 1.00, respectively. The absolute Scheuer staging score difference in 22.22% of sampled biopsies is 1. By the Ishak staging method, 55.56% and 22.22% of sampled biopsies present score difference 1 and 2, respectively. There are 4 (Scheuer) and 6 (Ishak) out of 18 3D virtual needle biopsies with intra-needle variations. Additionally, we find a positive correlation between CPA and fibrosis stages by Scheuer but not Ishak method. Overall, CPA measures suffer large intra- and inter-needle variations. ConclusionsThe developed virtual liver needle biopsy sampling pipeline provides a computational avenue for investigating needle biopsy sampling bias with 3D virtual tissue volumes. This method can be applied to other tissue-based disease diagnoses where the needle biopsy sampling bias substantially affects the diagnostic results.

bioengineering↗

bioRxiv2022

Assembly-free discovery of human novel sequences using long reads

DNA sequences that are absent in the human reference genome are classified as novel sequences. The discovery of these missed sequences is crucial for exploring the genomic diversity of populations and understanding the genetic basis of human diseases. However, various DNA lengths of reads generated from different sequencing technologies can significantly affect the results of novel sequences. In this work, we designed an Assembly-Free Novel Sequence (AF-NS) approach to identify novel sequences from Oxford Nanopore Technology long reads. Among the newly detected sequences using AF-NS, more than 95% were omitted from those using long-read assemblers, and 85% were not present in short reads of Illumina. We identified the common novel sequences among all the samples and revealed their association with the binding motifs of transcription factors. Regarding the placements of the novel sequences, we found about 70% enriched in repeat regions and generated 430 for one specific subpopulation that might be related to their evolution. Our study demonstrates the advance of the Assembly-Free approach to capture more novel sequences over other assembler based methods. Combining the long-read data with powerful analytical methods can be a robust way to improve the completeness of novel sequences.

bioinformatics↗

bioRxiv2022

Musashi1 and its short C-terminal variants regulate pluripotency states in embryonic stem cells

Musashi1 (MSI1) is a marker for adult stem cells, but little is known for its expression and function in pluripotent stem cells (PSCs). Here we report that MSI1 is expressed in embryonic stem cells (ESCs) and is required for pluripotency maintenance. We found that there exit short c-terminal MSI1 variants (MSI1-C, hMSI1272-362 or mMSI1138-362) in naive but not primed ESCs. When overexpressed, MSI1 and MSI1-C variants facilitate primed-to-naive pluripotency transition by elevating the pluripotency of primed hESCs toward a formative-like state, enable better survival of hESCs in human-mouse interspecies cell completion, and enhance the ability of blastoid formation of hESCs after naive induction. Mechanistically, we show that the MSI1-C variants, though lacking RNA recognition motifs, bind to RNAs, enhance stress resistance and upregulate DNA damage repair genes. Thus, this study demonstrates that ESCs utilize MSI1 and the newly identified short MSI1-C proteins as double swords to regulate pluripotency states.

developmental biology↗

bioRxiv2022

The LEPIS-HuR-TMOD4 axis regulates hepatic cholesterol homeostasis and accelerates atherosclerosis

Long noncoding RNAs (lncRNAs) play an important role in the entire progression of atherosclerosis. In this study, we identified an uncharacterized lncRNA, Liver Expressions by PSRC1 Induce Specifically (LEPIS). The expression of LEPIS and its potential target tropomodulin 4 (TMOD4) in the liver of ApoE-/- mice fed a high-fat diet was increased. An ApoE-/- mouse model with the overexpression of LEPIS or TMOD4 in liver was established, and we found that both LEPIS and TMOD4 increased the burden of atherosclerosis and reduced hepatic cholesterol levels. Further study revealed that LEPIS and TMOD4 affect the expression of genes related to hepatic cholesterol homeostasis, including proprotein convertase subtilisin/kexin type9 (PCSK9) and low-density lipoprotein receptor (LDLR), which are closely related to hypercholesterolemia. Mechanistically, human antigen R (HuR), an RNA-binding protein, was shown to be critical for the regulation of TMOD4 by LEPIS. Further, we found that overexpression of LEPIS promoted the shuttling of HuR from the nucleus to the cytoplasm, enhanced the stability of TMOD4 mRNA, and in turn promoted the expression of TMOD4. In addition, TMOD4 was found to affect intracellular cholesterol levels through PCSK9. These results suggest that the LEPIS-HuR-TMOD4 axis is a potential intervention target for hepatic cholesterol homeostasis and atherosclerosis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/490400v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@c4af60org.highwire.dtl.DTLVardef@d5e7d1org.highwire.dtl.DTLVardef@1667d08org.highwire.dtl.DTLVardef@19abddd_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2022

BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection

SARS-CoV-2 Omicron sublineages BA.2.12.1, BA.4 and BA.5 exhibit higher transmissibility over BA.21. The new variants receptor binding and immune evasion capability require immediate investigation. Here, coupled with Spike structural comparisons, we show that BA.2.12.1 and BA.4/BA.5 exhibit comparable ACE2-binding affinities to BA.2. Importantly, BA.2.12.1 and BA.4/BA.5 display stronger neutralization evasion than BA.2 against the plasma from 3-dose vaccination and, most strikingly, from post-vaccination BA.1 infections. To delineate the underlying antibody evasion mechanism, we determined the escaping mutation profiles2, epitope distribution3 and Omicron neutralization efficacy of 1640 RBD-directed neutralizing antibodies (NAbs), including 614 isolated from BA.1 convalescents. Interestingly, post-vaccination BA.1 infection mainly recalls wildtype-induced humoral memory. The resulting elicited antibodies could neutralize both wildtype and BA.1 and are enriched on non-ACE2-competing epitopes. However, most of these cross-reactive NAbs are heavily escaped by L452Q, L452R and F486V. BA.1 infection can also induce new clones of BA.1-specific antibodies that potently neutralize BA.1; nevertheless, these NAbs are largely escaped by BA.2/BA.4/BA.5 due to D405N and F486V, and react weakly to pre-Omicron variants, exhibiting poor neutralization breadths. As for therapeutic NAbs, Bebtelovimab4 and Cilgavimab5 can effectively neutralize BA.2.12.1 and BA.4/BA.5, while the S371F, D405N and R408S mutations would undermine most broad sarbecovirus NAbs. Together, our results indicate that Omicron may evolve mutations to evade the humoral immunity elicited by BA.1 infection, suggesting that BA.1-derived vaccine boosters may not achieve broad-spectrum protection against new Omicron variants.

immunology↗