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Yang, Y.

Publications and source records attributed to Yang, Y..

At least 1,261 records · Page 70Linked to original sources

Astroglial FMRP modulates synaptic signaling and behavior phenotypes in FXS mouse model

Fragile X syndrome (FXS) is one of the most common inherited intellectual disability (ID) disorders, in which the loss of FMRP protein induces a range of cellular signaling changes primarily through excess protein synthesis. Although neuron-centered molecular and cellular events underlying FXS have been characterized, how different CNS cell types are involved in typical FXS synaptic signaling changes and behavioral phenotypes is largely unknown. Recent evidence suggests that selective loss of astroglial FMRP is able to dysregulate glutamate uptake, increase spine density, and impair motor-skill learning. Here we investigated the effect of astroglial FMRP on synaptic signaling and FXS-related behavioral and learning phenotypes in astroglial Fmr1 cKO and cON mice in which FMRP expression is selectively diminished or restored in astroglia. We found that selective loss of astroglial FMRP contributes to cortical hyperexcitability by enhancing NMDAR-mediated evoked but not spontaneous miniEPSCs and elongating cortical UP state duration. Selective loss of astroglial FMRP is also sufficient to increase locomotor hyperactivity, significantly diminish social novelty preference, and induce memory acquisition and extinction deficits in astroglial Fmr1 cKO mice. Importantly, re-expression of astroglial FMRP is able to significantly rescue the hyperactivity (evoked NMDAR response, UP state duration, and open field test) and social novelty preference in astroglial Fmr1 cON mice. These results demonstrate a profound role of astroglial FMRP in the evoked synaptic signaling, spontaneously occurring cortical UP states, and FXS-related behavioral and learning phenotypes and provide important new insights in the cell type consideration for the FMRP reactivation strategy.

neuroscience↗

To improve the predictions of binding residues with DNA, RNA, carbohydrate, and peptide via multiple-task deep neural networks

MotivationThe interactions of proteins with DNA, RNA, peptide, and carbohydrate play key roles in various biological processes. The studies of uncharacterized protein-molecules interactions could be aided by accurate predictions of residues that bind with partner molecules. However, the existing methods for predicting binding residues on proteins remain of relatively low accuracies due to the limited number of complex structures in databases. As different types of molecules partially share chemical mechanisms, the predictions for each molecular type should benefit from the binding information with other molecules types. ResultsIn this study, we employed a multiple task deep learning strategy to develop a new sequence-based method for simultaneously predicting binding residues/sites with multiple important molecule types named MTDsite. By combining four training sets for DNA, RNA, peptide, and carbohydrate-binding proteins, our method yielded accurate and robust predictions with AUC values of 0.852, 0836, 0.758, and 0.776 on their respective independent test sets, which are 0.52 to 6.6% better than other state-of-the-art methods. More importantly, this study provides a new strategy to improve predictions by combining multiple similar tasks. Availabilityhttp://biomed.nscc-gz.cn/server/MTDsite/ Contactyangyd25@mail.sysu.edu.cn

bioinformatics↗

Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks

Single-cell RNA sequencing technology promotes the profiling of single-cell transcriptomes at an unprecedented throughput and resolution. However, in scRNA-seq studies, only a low amount of sequenced mRNA in each cell leads to missing detection for a portion of mRNA molecules, i.e. the dropout problem. The dropout event hinders various downstream analysis, such as clustering analysis, differential expression analysis, and inference of gene-to-gene relationships. Therefore, it is necessary to develop robust and effective imputation methods for the increasing scRNA-seq data. In this study, we have developed an imputation method (GraphSCI) to impute the dropout events in scRNA-seq data based on the graph convolution networks. The method takes advantage of low-dimensional representations of similar cells and gene-gene interactions to impute the dropouts. Extensive experiments demonstrated that GraphSCI outperforms other state-of-the-art methods for imputation on both simulated and real scRNA-seq data. Meanwhile, GraphSCI is able to accurately infer gene-to-gene relationships by utilizing the imputed matrix that are concealed by dropout events in raw data.

bioinformatics↗

Dynamics of mcr-1 prevalence and mcr-1-positive Escherichia coli after the cessation of colistin use as a feed additive for animals in China: a prospective cross-sectional and whole genome sequencing based molecular epidemiological study

BackgroundThe global dissemination of colistin resistance encoded by mcr-1 has been attributed to extensive use of colistin in livestock, threatening colistin efficacy in medicine. The emergence of mcr-1 in common pathogens, such as Escherichia coli, is of particular concern. Therefore, China banned the use of colistin in animal feed from May 1ST 2017. We investigated subsequent changes in mcr-1 prevalence, and the genomic epidemiology of mcr-1-positive Escherichia coli (MCRPEC). MethodsSampling was conducted pre- (October-December 2016) and post-colistin ban (October-December, 2017 and 2018, respectively). 3675 non-duplicate pig fecal samples were collected from 14 provinces (66 farms) in China to determine intervention-related changes in mcr-1 prevalence. 15193 samples were collected from pigs, healthy human volunteers, colonized and infected hospital inpatients, food and the environment in Guangzhou, to characterize source-specific mcr-1 prevalence and the wider ecological impact of the ban. From these samples, 688 MCRPEC were analyzed with whole genome sequencing (WGS), plasmid conjugation and S1-PFGE/Southern blots to characterize associated genomic changes. FindingsAfter the ban, mcr-1 prevalence decreased significantly in national pig farms, from 45{middle dot}0% (308/684 samples) in 2016, to 19{middle dot}4% (274/1416) in 2018 (p<0{middle dot}0001). This trend was mirrored in samples from most sources in Guangzhou (overall 19{middle dot}2% [959/5003 samples] in 2016; 5{middle dot}3% [238/4489] in 2018; p<0{middle dot}0001). The population structure of MCRPEC was diverse (23 sequence clusters [SCs]); ST10 clonal complex isolates were predominant (247/688 [36%]). MCRPEC causing infection in hospitalized inpatients were genetically more distinct and appeared less affected by the ban. mcr-1 was predominantly found on plasmids (632/688 [92%]). Common mcr-1 plasmid types included IncX4, IncI2 and IncHI2 (502/656 [76.5%]); significant increases in IncI2-associated mcr-1 and a distinct lineage of mcr-1-associated IncHI2 were observed post-ban. Changes in the frequency of mcr-1-associated flanking sequences (ISApl1-negative MCRPEC), 63 core genome SNPs and 30 accessory genes were also significantly different after the ban, consistent with rapid genetic adaptation in response to changing selection pressures. InterpretationA rapid, ecosystem-wide, decline in mcr-1 was observed after banning the use of colistin in animal feed, with associated genetic changes in MCRPEC. Genomic surveillance is key to assessing and monitoring stewardship interventions. FundingNational Natural Science Foundation of China

microbiology↗

Sorting liposomes of distinct sizes by DNA-brick assisted centrifugation

The "tiny bubbles of fluid" wrapped by lipid-bilayer membranes, termed vesicles, are abundant in cells and extracellular space, performing critical tasks including nutrient uptake, cargo transport, and waste confinement. Vesicles on different missions and transport routes are often distinct both in size and in chemical composition, which confers specificity to their interactions with other membranous compartments. Therefore, to accurately recapitulate the vesicles structure and behavior, it is important to use homogeneous liposomes (vesicles made of synthetic components) with precisely defined attributes as model membranes. Although existing methods can generate liposomes of selected sizes with reasonable homogeneity, the scalable production of uniformly-sized liposomes across a wide range of dimensions and compositions remains challenging. Here we report a streamlined, high-throughput sorting technique that uses cholesterol-modified "nanobricks" made of a few DNA oligonucleotides to differentiate hetero-sized liposomes by their buoyant densities. After DNA-brick coating, milligrams of liposomes of different origins (e.g., produced via extrusion or sonication, and reconstituted with membrane proteins) can be separated by centrifugation into six to eight homogeneous populations with mean diameters from 30 to 130 nm. In proof of concept experiments, we show that these uniform, leak-free liposomes are ideal substrates to study, with an unprecedented resolution, how membrane curvature influences the activity of peripheral (ATG3) and integral (SNARE) membrane proteins. We anticipate that our sorting technique will facilitate the quantitative understanding of membrane curvature in vesicular transport. Furthermore, adding a facile and standardized separation step to the conventional liposome preparation pipeline may benefit the formulation and prototyping of liposomal drug-carrying vehicles.

biophysics↗

Sonogenetics for noninvasive and cellular-level neuromodulation in rodent brain

Sonogenetics, which uses ultrasound to noninvasively control cells genetically modified with ultrasound-sensitive ion channels, can be a powerful tool for investigating intact brain circuits. Here we show that TRPV1 is an ultrasound-sensitive ion channel that can modify the activity of TRPV1-expressing cells in vitro when exposing to focused ultrasound. We also show that focused ultrasound exposure at the mouse brain in vivo can selectively activate neurons that are genetically modified to express TRPV1. We demonstrate that precise manipulation of neural activity via TRPV1-based sonogenetics can be achieved by spatiotemporal control of ultrasound-induced heating. The focused ultrasound exposure is safe based on our inspection of neuronal integrity, apoptosis, and inflammation markers. This sonogenetic tool enables noninvasive, cell-type specific, spatiotemporally controlled modulation of mammalian brain activity.

neuroscience↗

Opposing neural signals of CaV1-encoded peptides are tuned by C-terminus mediated inhibition

L-type calcium (CaV1) channels regulate gene expressions via the cascade of excitation-transcription coupling, or directly as standalone CCAT (Calcium Channel Associated Transcriptional-regulator) peptides encoding distal carboxyl-terminus (DCT) of CaV1, both evidenced in dendritogenesis signaling in neurons. We here discover that DCT peptides opposedly mediate these two sets of transcription signals, all tunable in accordance to C-terminus mediated inhibition (CMI) of Ca2+/CaV1 influx. By electrophysiology, neurite morphology, and FRET 2-hybrid binding analyses, we systematically examined native and derived DCT peptides across CaV1, unveiling that the overall balance between cytosolic inhibition versus nuclear facilitation is spatially and temporally tuned by CMI of each DCT variant. Our findings not only resolve several controversies existing to DCT variants, but also propose a de novo scheme of CaV1-centric gene regulation: two concurrent routes of transcription signals initiated from either membrane CaV1 channels or nuclear CaV1-encoded peptides are subject to autonomous feedback tuning by peptide/channel interactions.

neuroscience↗

A systematic review of scientific research focused on farmers in agricultural adaptation to climate change (2008-2017)

Due to the severe consequences of climate change, associated risks to global food security, and the contribution of agriculture to greenhouse gas emissions, agriculture must necessarily adapt to meet these challenges. Many studies have therefore sought to investigate agricultural adaptation to climate change, and as key stakeholders in agriculture, farmers play a vital role in this process. There is a rapidly increasing corpus of scholarship on agricultural adaptation to climate change, with many studies beginning to incorporate survey methods to examine farmer perceptions and adaptation responses. Nevertheless, in-depth understanding of farmers worldwide is inadequate due to insufficiently robust methodologies, socio-economic disparities, and unequal geographic distribution. In this study, we searched and reviewed the existing peer-reviewed, English-language scientific articles published between 2008 and 2017 on agricultural adaptation to climate change that have incorporated farmers into their research methodologies. The main findings include the following: (1) a small but increasing number of studies focus on farmers in climate change adaptation; (2) the global geographic distribution of the reviewed studies is uneven, and many of the most vulnerable nations (e.g., lower-income/agricultural-dependent economies) have no representation at all; (3) there were diverse rationales and methods for incorporating farmers into the studies, and many of the methodological differences were due to practical and logistical limitations in lower-income/agricultural-dependent nations; and (4) studies were from multiple academic fields, indicating the need for more interdisciplinary collaboration moving forward because agricultural adaptation to climate change is too complex for a single discipline to fully explore. Although English is increasingly recognized as the "international language of science," due to the challenge of language segmentation limiting broader understanding of global scholarship whenever possible, future reviews should be jointly conducted in both English and non-English languages.

scientific communication and education↗

m6A Regulates Liver Metabolic Disorders and Hepatogenous Diabetes

N6-methyladenosine (m6A) RNA methylation is one of the most abundant modifications on mRNAs and plays an important role in various biological processes. The formation of m6A is catalysed by a methyltransferase complex containing a key factor methyltransferase-like 3 (Mettl3). However, the functions of Mettl3 and m6A modification in liver lipid and glucose metabolism remain unclear. Here, we show that both Mettl3 expression and m6A level increased in the liver of mice with High Fat Diet (HFD)-induced metabolic disorders, and overexpression of Mettl3 aggravated HFD-induced liver metabolic disorders and insulin resistance. Hepatocyte-specific knockout of Mettl3 significantly alleviated HFD-induced metabolic disorders by slowing weight gain, reducing lipid accumulation and improving insulin sensitivity. Mechanistically, Mettl3 depletion-mediated m6A loss causes extended RNA half-lives of metabolism-related genes, consequently protects mice against HFD-induced metabolic syndrome. Our findings reveal a critical role of Mettl3-mediated m6A in HFD-induced metabolic disorders and hepatogenous diabetes.

genetics↗

A Refined View of Airway Microbiome in Chronic Obstructive Pulmonary Disease at Species and Strain-levels

Little is known about the species and strain-level diversity of the airway microbiome, and its implication in chronic obstructive pulmonary disease (COPD). Here we report the first comprehensive analysis of the COPD airway microbiome at species and strain-levels. The full-length 16S rRNA gene was sequenced from sputum in 98 stable COPD patients and 27 age-matched healthy controls, using the third-generation Pacific Biosciences sequencing platform. Individual species within the same genus exhibited reciprocal relationships with COPD and disease severity. Species dominant in health can be taken over by another species within the same genus in GOLD IV patients. Such turnover was also related to enhanced symptoms and exacerbation frequency. Ralstonia mannitolilytica, an opportunistic pathogen, was significantly increased in COPD frequent exacerbators. There were inflammatory phenotype-specific associations of microbiome at the species-level. One group of four pathogens including Haemophilus influenzae and Moraxella catarrhalis, were specifically associated with sputum mediators for neutrophilic inflammation. Another group of seven species, including Tropheryma whipplei, showed specific associations with mediators for eosinophilic inflammation. Strain-level detection uncovered three non-typeable H. influenzae strains PittEE, PittGG and 86-028NP in the airway microbiome, where PittGG and 86-028NP abundances may inversely predict eosinophilic inflammation. The full-length 16S data augmented the power of functional inference and led to the unique identification of butyrate-producing and nitrate reduction pathways as significantly depleted in COPD. Our analysis uncovered substantial intra-genus heterogeneity in the airway microbiome associated with inflammatory phenotypes and could be of clinical importance, thus enabled a refined view of the airway microbiome in COPD. "Take-home" messageThe species-level analysis using the third-generation sequencing enabled a refined view of the airway microbiome and its relationship with clinical outcome and inflammatory phenotype in COPD.

microbiology↗

The origin of domestication genes in goats

Goat domestication was critical for agriculture and civilization, but its underlying genetic changes and selection regimes remain unclear. Here we analyze the genomes of worldwide domestic goats, wild caprid species and historical remains, providing evidence of an ancient introgression event from a West Caucasian tur-like species to the ancestor of domestic goats. One introgressed locus with a strong signature of selection harbors the MUC6 gene which encodes a gastrointestinally secreted mucin. Experiments revealed that the nearly fixed introgressed haplotype confers enhanced immune resistance to gastrointestinal pathogens. Another locus with a strong signal of selection may be related to behavior. The selected alleles at these two loci emerged in domestic goats at least 7,200 and 8,100 years ago, respectively, and increased to high frequencies concurrent with the expansion of the ubiquitous modern mitochondrial haplogroup A. Tracking these archaeologically cryptic evolutionary transformations provides new insights into the mechanism of animal domestication. One Sentence SummaryGoat domestication mainly focused on immune and neural genes, with adaptive leaps driven by introgression and selection.

genomics↗

Toward an understanding of the relation between gene regulation and 3D genome organization

The development and usage of chromosome conformation capture technologies have provided great details on 3D genome organization and provide great opportunities to understand how gene regulation is affected by the 3D chromatin structure. Previously, we identified two types of sequence domains, CGI forest and CGI prairie, which tend to segregate spatially, but to different extent in different tissues/cell states. To further quantify the association of domain segregation with gene regulation and differentiation, we analyzed in this study the distribution of genes of different tissue specificities along the linear genome, and found that the distribution patterns are distinctly different in forests and prairies. The tissue-specific genes (TSGs) are significantly enriched in the latter but not in the former and genes of similar expression profiles among different cell types (co-activation/repression) also tend to cluster in specific prairies. We then analyzed the correlation between gene expression and the spatial contact revealed in Hi-C measurement. Tissue-specific forest-prairie contact formation was found to correlate with the regulation of the TSGs, in particular those in the prairie domains, pointing to the important role gene positioning, in the linear DNA sequence as well as in 3D chromatin structure, plays in gene regulatory network formation.

genetics↗

Domain segregated 3D chromatin structure and segmented DNA methylation in carcinogenesis

The three-dimensional (3D) chromatin structure, together with DNA methylation and other epigenetic marks, profoundly affects gene expression and displays abnormal behaviors in cancer cells. We elucidated the chromatin architecture remodeling in carcinogenesis from the perspective of spatial interactions between CGI forest and prairie domains, which are two types of megabase-sized domains defined by different sequence features but show distinct epigenetic and transcriptional patterns. DNA sequence strongly affects chromosome spatial interaction, DNA methylation and gene expression. Globally, forests and prairies show enhanced spatial segregation in cancer cells and such structural changes are accordant with the alteration of CGI interactions and domain boundary insulation, which could affect vital cancer-related properties. As the cancer progresses, a gradual increase of the DNA methylation difference between the two types of DNA domains is also observed for many different types of cancers. These observations are consistent with the change of transcriptional level differences of genes in these two domains, suggesting a highly-connected global structural, epigenetic and transcriptional activity changes in carcinogenesis.

cancer biology↗

Disease mutation study identifies essential residues for phosphatidylserine flippase ATP11A

PS flippase (P4-ATPase) transports PS from the outer to the inner leaflet of the lipid bilayer in the membrane to maintain PS asymmetry, which is important for biological activity of the cell. ATP11A is expressed in multiple tissues and plays a role in myotube formation. However, detailed cellular function of ATP11A remains elusive. Mutation analysis revealed that I91, L308 and E897 residues in ATP8A2 are important for flippase activity. In order to investigate the roles of these corresponding amino acid residues in ATP11A, we assessed the expression and flippase activity of the respective ATP11A mutant proteins. ATP11A mainly localizes to the Golgi when co-expressed with TMEM30A, the {beta}-subunit of the complex. Y300F and D913K mutations affect correct Golgi localization and PS stimulated flippase activity. In addition, Y300F mutation causes reduced ATP11A expression. Our data provides insight into essential residues for expression and flippase activity of ATP11A.

biochemistry↗

Regulating AMPK and insulin level by Vinegar, Swimming and Refeeding on High-Fat Diet Rats to Rebuild Lipid Homeostasis

Our aims were to explore the effects of dietary and behavior interventions on lipometabolism caused by unhealthy high-fat diet and the best method to rebuild lipid homeostasis of this lifestyle. Apart from normal diet rats, 34 rats were fed with high-fat emulsion for 4 weeks before being divided into 4 groups and intervened for another 4 weeks. 8 of them were classified into high-fat control group and 9 were sorted into high-fat diet with rice vinegar group. Meanwhile, 10 were put into high-fat diet with swimming group and 7 were just for refeeding normal diet group. Then the data of body weight was recorded and analyzed. Serum, pancreas, liver, cardiac tissues and epididymis adipose were sampled as required. Indexes of serum were tested by kits. AMPK, HNF1, CTRP6 from tissues were detected by western blot. According to our experiments, Swimming and refeeding groups reflected a better regulation on lipid homeostasis mainly by up-regulating the expression of pancreas AMPK. To be more specific, the refeeding rats showed lower T-CHO (P<0.001) and LDL-C (P<0.05), but higher weight gain (P<0.001),insulin level (P<0.01)and pancreas AMPK (P<0.01)than high-fat control rats. Compared with rats experimented by swimming or rice vinegar, they showed higher weight gain (P<0.001),insulin level (P<0.01)and HNF1, but lower of CTRP6. In summary, refeeding diet functioned better in regulating the lipometabolic level after high-fat diet. Whatever approach mentioned above we adopted to intervene, the best policy to keep the balance of lipid homeostasis is to maintain a healthy diet.

molecular biology↗

Calpain-2 regulates hypoxia/HIF-induced amoeboid reprogramming and metastasis

Hypoxia, through hypoxia inducible factor (HIF), drives cancer cell invasion and metastatic progression in various cancer types, leading to poor prognosis. In epithelial cancer, hypoxia further induces the transition to amoeboid cancer cell dissemination, yet the molecular mechanisms, relevance for metastasis, and effective interventions to combat hypoxia-induced amoeboid reprogramming remain unclear. Here, we identify calpain-2 as key regulator and anti-metastasis target of hypoxia-induced transition from collective to amoeboid dissemination of breast and head and neck (HN) carcinoma cells. Hypoxia-induced amoeboid dissemination occurred through low ECM-adhesive, bleb-based amoeboid movement, which effectively invaded into 3D collagen with low-oxidative and -glycolytic energy metabolism, revealing an microenvironmentally-induced, energy-conserving dissemination route in epithelial cancers. Hypoxia-induced calpain-2 mediated amoeboid conversion by de-activating beta1 integrins, through enzymatic cleavage of the focal adhesion adaptor protein talin-1. Consequently, targeted downregulation of calpain-2 or pharmacological intervention restored talin-1 integrity, beta1 integrin engagement and reverted blebbing-amoeboid to elongated phenotypes under hypoxia. Calpain-2 activity was required for hypoxia-induced blebbing-amoeboid conversion in the orthotopic mouse dermis, and upregulated in invasive HN tumor xenografts in vivo, and attenuation of calpain activity prevented hypoxia-induced metastasis to the lungs. This identifies the calpain-2/talin-1/beta1 integrin axis as mechanosignaling program and promising intervention target of plasticity of cancer cell invasion and metastasis formation in epithelial cancers under hypoxia.

cancer biology↗

Inactivation of LCN2/EGR1 Promotes Oligodendrocyte Progenitor Cell Differentiation and Remyelination after White Matter Injury

The insufficient remyelination due to the impaired oligodendrocyte precursor cell differentiation and maturation is highly associated with irreversible white matter injury and neurological deficits. Consequently, inhibitory components and microenvironment for remyelination might serve as potential therapeutic targets for treating white matter injury after acute central nervous system injury and neurodegeneration diseases. Lipocalin-2 was recently reported to corelate with white matter in both atypical, acute white matter injured disease subarachnoid hemorrhage and typical, chronic white matter injured disease multiple sclerosis. To elucidate the role and underlying mechanism of Lipocalin-2 in oligodendrocyte precursor cell differentiation and remyelination, we used genetic inhibition and a constitutive conditional knockout model with subarachnoid hemorrhage or multiple sclerosis. We found that the genetic inhibition of the increase in Lipocalin-2 promoted oligodendrocyte precursor cell differentiation, remyelination, and functional recovery after subarachnoid hemorrhage or multiple sclerosis. Unexpectedly, the inhibition of Lipocalin-2 did not reduce glial activation and inflammation. Lipocalin-2 was shown to activate Early Growth Response Protein 1 in oligodendrocyte precursor cells, which is partly regulated by its receptor SLC22A17. In the conditional knockout of Early Growth Response Protein 1 in oligodendrocyte precursor cells, we discovered enhanced oligodendrocyte precursor cell differentiation in developing and injured white matter; consistently, the specific inactivation of Early Growth Response Protein 1 promoted remyelination and neurological recovery after subarachnoid hemorrhage or multiple sclerosis. Thus, we propose that following white matter injury in humans, the increase in Lipocalin-2 activates Early Growth Response Protein 1 and consequently impair oligodendrocyte precursor cell differentiation and myelin repair. Our results suggest that therapies specifically inactivating Lipocalin-2/ Early Growth Response Protein 1 signal in oligodendroglial lineage cells could represent a novel strategy to enhance differentiation and remyelination in white matter injury patients.

neuroscience↗

The Ocular Glymphatic Clearance System

Despite high metabolic activity, the retina and optic nerve head lack traditional lymphatic drainage. We here identified a novel ocular glymphatic clearance route for fluid and wastes via the proximal optic nerve. Amyloid-{beta} (A{beta}) was cleared from the vitreous via a pathway driven by the ocular-cranial pressure difference. After traversing the lamina barrier, intra-axonal A{beta} was cleared via the perivenous space and subsequently drained to lymphatic vessels. Light-induced pupil constriction enhanced, while atropine or raising intracranial pressure blocked efflux. In two distinct murine models of glaucoma, A{beta} leaked from the eye via defects in the lamina barrier instead of directional axonal efflux. The discovery of a novel pathway for removal of fluid and metabolites from the intraocular space prompts a reevaluation of the core principles governing eye physiology and provides a framework for new therapeutic approaches to treat common eye diseases, including glaucoma. One Sentence SummaryGlymphatic pathway clears ocular amyloid-{beta} via optic nerve and fails in glaucoma.

physiology↗