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He, Y.

Publications and source records attributed to He, Y..

At least 289 records · Page 16Linked to original sources

A Refined Analysis of Neanderthal-Introgressed Sequences in Modern Humans with a Complete Reference Genome

BackgroundLeveraging long-read sequencing technologies, the first complete human reference genome, T2T-CHM13, corrects the assembly errors in prior references and addresses the remaining 8% of the genome. While the studies on archaic admixture in modern humans so far have been relying on the GRCh37 reference due to the archaic genome data, the impact of T2T-CHM13 in this field remains unknown. ResultsWe remapped the sequencing reads of the high-quality Altai Neanderthal and Denisovan genomes onto GRCh38 and T2T-CHM13 respectively. Compared with GRCh37, we found T2T-CHM13 has a significant improvement of read mapping quality in archaic samples. We then applied IBDmix to identify Neanderthal introgressed sequences in 2,504 individuals from 26 geographically diverse populations in different references. We observed different pre-phasing filtering strategies prevalently used in public data can largely impact determination of archaic ancestry, calling for consideration on the choice of filters. We discovered ~51Mb T2T-CHM13 unique Neanderthal sequences, which are predominantly located in regions where the variants distinct between the GRCh38 and T2T-CHM13 assemblies emerge. Besides, we unfolded new instances of population-specific archaic introgression in diverse populations, covering genes involved in metabolism, olfactory-related, and icon-channel. Finally, we integrated the introgressed sequences and adaptive signals with all references into a visualization database website, called ASH (www.arcseqhub.com), to facilitate the utilization of archaic alleles and adaptive signals in human genomics and evolutionary research. ConclusionsOur study refines the detection of archaic variations in modern humans, highlights the importance of T2T-CHM13 reference utility, and provides novel insights into functional consequences of archaic hominin admixture.

evolutionary biology↗

Scalable spatial single-cell transcriptomics and translatomics in 3D thick tissue blocks

Characterizing the transcriptional and translational gene expression patterns at the single-cell level within their three-dimensional (3D) tissue context is essential for revealing how genes shape tissue structure and function in health and disease. However, most existing spatial profiling techniques are limited to 5-20 {micro}m thin tissue sections. Here, we developed Deep-STARmap and Deep-RIBOmap, which enable 3D in situ quantification of thousands of gene transcripts and their corresponding translation activities, respectively, within 200-{micro}m thick tissue blocks. This is achieved through scalable probe synthesis, hydrogel embedding with efficient probe anchoring, and robust cDNA crosslinking. We first utilized Deep-STARmap in combination with multicolor fluorescent protein imaging for simultaneous molecular cell typing and 3D neuron morphology tracing in the mouse brain. We also demonstrate that 3D spatial profiling facilitates comprehensive and quantitative analysis of tumor-immune interactions in human skin cancer.

genomics↗

Zinc and Metformin Co-Functionalized Polyetheretherketone: A Novel Dental Implant Material Tailored for the Elderly

This study focuses on addressing the challenges of dental implants in the geriatric population by enhancing the bioactivity of polyetheretherketone (PEEK) through surface modification. PEEK, with its elastic modulus close to alveolar bone, mitigates stress shielding but faces limitations in osseointegration due to low bioactivity. We introduced zinc (Zn) and metformin (MF) onto PEEK surfaces via a dopamine-assisted physical adhesion method, creating a functionalized derivative called ZnMF@PEEK. This combination targets diminished osteogenic potential, persistent inflammation, and cell senescence, which are common issues in elderly patients. Comprehensive physicochemical characterizations confirmed the successful preparation of ZnMF@PEEK, and in vitro and in vivo experiments systematically evaluated its biocompatibility and bioactivity. The results indicate that ZnMF@PEEK holds promise as a dental implant material tailored to the specific needs of the elderly, addressing multifaceted challenges in osseointegration.

bioengineering↗

Longevity or Well-being? A Dual-Dimension Structure of Neuroticism

The development of personality traits is often viewed as evolutionarily adaptive. Current neuroticism research, however, predominantly highlights its negative health impacts, neglecting its potential evolutionary advantages. We propose that neuroticisms inter-individual variability can be structured into two distinct geometric dimensions. One, named the Emotional Reactivity-Instability/Distress Spectrum (ERIS), correlates strongly with longevity and is associated with chronic diseases and risk-averse lifestyle. This dimension is underpinned by evolutionarily conserved subcortical brain regions and genes. The other, resembling the overall neuroticism score, is primarily linked to mental and stress-related disorders, as well as life satisfaction. It involves higher-order emotional brain regions and is genetically enriched in human-accelerated regions. Collectively, these dimensions represent a dual-strategy personality framework that optimizes survival and well-being, with the former being evolutionarily conservative and the latter potentially a unique human adaptation.

neuroscience↗

Equip Fusobacterium nucleatum genetic tool kits with compatible shuttle vectors and engineered intermediatory E. coli strains for enhanced transformation efficiency

Fusobacterium nucleatum, an oral microbe, is implicated in various human diseases, including oral-related diseases and tumors. However, efficient transformation was only achieved in limited strains of this bacterium. The challenges in conducting molecular level investigations of most strains due to their genetic intractability have hindered the biological studies of F. nucleatum. The restriction-modification (RM) systems is one of the known obstacles for efficient DNA transformation. Here, we used single molecule real time sequencing to elucidate the RM recognition sites and the corresponding methyltransferases (MTases) in two F. nucleatum strains. Based on the identified MTases, we engineered intermediatory E. coli host strains to bypass the RM systems, and showed that the plasmids harbored by these intermediatory strains can be efficiently electro-transformed, reaching 5000 transformants per microgram plasmids, paving the way for the development of efficient genetic modification tools. Furthermore, we successfully demonstrated that the conjugation-based DNA delivery to F. nucleatum can bypass the requirement of MTase methylations. By exploring the native plasmids from F. nucleatum, we identified new backbones for construction of shuttle vectors and established a dual-plasmid system for the first time, offering new avenues for genetic manipulation in this bacterium. Additionally, we evaluate promoters with variable strengths with a luciferase-based reporter system in F. nucleatum, providing valuable insights for future gene editing studies in bacterium and contributing to our understanding of its pathogenesis. All the tools developed in this study was shared via the WeKwikgene (https://wekwikgene.wllsb.edu.cn/). Impact StatementFusobacterium nucleatum, a key opportunistic pathogen implicated in periodontal diseases, rheumatoid arthritis, and tumors, presents significant challenges due to its limited transformation efficiency and lack of gene-editing tools. In this study, we present an advancement -a streamlined and robust pipeline that enhances transformation efficiency by approximately 103-fold in F. nucleatum, reaching 5000 CFU per microgram plasmids. This represents a significant breakthrough, marking the first report to achieve such a remarkable improvement in transformation efficiency in this pathogen. This improvement paves the way for the genome-wide level mutagenesis study in this bacterium.

microbiology↗

Noncanonical roles of ATG5 and membrane atg8ylation in retromer assembly and function

ATG5 is one of the core autophagy proteins with additional functions such as noncanonical membrane atg8ylation, which among a growing number of biological outputs includes control of tuberculosis in animal models. Here we show that ATG5 associates with retromers core components VPS26, VPS29 and VPS35 and modulates retromer function. Knockout of ATG5 blocked trafficking of a key glucose transporter sorted by the retromer, GLUT1, to the plasma membrane. Knockouts of other genes essential for membrane atg8ylation, of which ATG5 is a component, affected GLUT1 sorting, indicating that membrane atg8ylation as a process affects retromer function and endosomal sorting. The contribution of membrane atg8ylation to retromer function in GLUT1 sorting was independent of canonical autophagy. These findings expand the scope of membrane atg8ylation to specific sorting processes in the cell dependent on the retromer and its known interactors.

cell biology↗

Fluorogenic Aptamer Optimizations on a Massively Parallel Sequencing Platform

Fluorogenic aptamers (FAPs) have become an increasingly important tool in cellular sensing and pathogen diagnostics. However, fine-tuning FAPs for enhanced performance remains challenging even with the structural details provided by X-ray crystallography. Here we present a novel approach to optimize a DNA-based FAP (D-FAP), Lettuce, on repurposed Illumina next-generation sequencing (NGS) chips. When substituting its cognate chromophore, DFHBI-1T, with TO1-biotin, Lettuce not only shows a red-shifted emission peak by 53 nm (from 505 to 558 nm), but also a 4-fold bulk fluorescence enhancement. After screening 8,821 Lettuce variants complexed with TO1-biotin, the C14T mutation is found to exhibit an improved apparent dissociated constant ([Formula] vs. 0.82 {micro}M), an increased quantum yield (QY: 0.62 vs. 0.59) and an elongated fluorescence lifetime ({tau}: 6.00 vs. 5.77 ns), giving 45% more ensemble fluorescence than the canonical Lettuce/TO1-biotin complex. Molecular dynamic simulations further indicate that the {pi}-{pi} stacking interaction is key to determining the coordination structure of TO1-biotin in Lettuce. Our screening-and-simulation pipeline can effectively optimize FAPs without any prior structural knowledge of the canonical FAP/chromophore complexes, providing not only improved molecular probes for fluorescence sensing but also insights into aptamer-chromophore interactions.

biophysics↗

Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models

Phosphorus is essential for life and critically influences marine productivity. Despite geochemical evidence of active phosphorus cycling in deep-sea cold seep ecosystems, the microbial processes involved remain poorly understood. Traditional sequence-based searches often fail to detect proteins with remote homology. To address this, we developed a protein language model (PLM) named LucaPCycle that integrates sequence and structural information. This PLM-based approach identified 4,606 new phosphorus-cycling protein families based on the non-redundant gene and genome catalogs from global cold seeps, substantially enhancing our understanding of their diversity, ecology, and function. Among previously unannotated sequences, we discovered three novel alkaline phosphatase families (ALP1, ALP2 and ALP3) that feature unique domain organizations and preserved enzymatic capabilities. These results highlight previously overlooked ecological importance of phosphorus cycling within cold seeps, corroborated by data from porewater geochemistry, metatranscriptomics, and metabolomics. We identified a previously unrecognized diversity of archaea contributing to organic phosphorus mineralization and inorganic phosphorus solubilization through various mechanisms. This includes ecologically significant groups such as Asgardarchaeota, anaerobic methanotrophic archaea (ANME), and Thermoproteota. Additionally, viruses can enhance their hosts (e.g., ANME) phosphorus utilization through the PhoR-PhoB regulatory system and PhnCDE transporter, indirectly influencing methane dynamics. Overall, our PLM-based functional predictions are capable of accessing previously hidden sequence spaces for microbial phosphorus cycling, and can be applied to other various ecosystems.

microbiology↗

Structural insights into the in situ assembly of clustered protocadherin γB4

Clustered protocadherins (cPcdhs) belong to the cadherin superfamily and play important roles in neural development. cPcdhs can mediate homophilic adhesion and lead to self-avoidance and tiling by giving neurons specific identities in vertebrates. Structures and functions of cPcdhs have been studied extensively in the past decades, but the mechanisms behind the functions have not been fully understood. Here we investigate the in situ assembly of cPcdh-{gamma}B4, a member in the {gamma} subfamily of cPcdhs, by electron tomography and find that the full length cPcdh-{gamma}B4 does not show regular organization at the adhesion interfaces. By contrast, cPcdh-{gamma}B4 lacking the intracellular domain can generate an ordered zigzag pattern between cells and the cis interacting mode is different from the crystal packing of the ectodomain. We also identify the residues on the ectodomain that might be important for the zigzag pattern formation by mutagenesis. Furthermore, truncation mutants of the intracellular domain of cPcdh-{gamma}B4 reveal different assembly patterns between cell membranes, suggesting that the intracellular domain plays a crucial role in the intermembrane organization of cPcdh-{gamma}B4. Taken together, these results suggest both ectodomain and intracellular domain regulate the in situ assembly of cPcdh-{gamma}B4 at the adhesion interfaces, thereby providing mechanistic insights into the functional roles of cPcdhs during neuronal wiring.

biophysics↗

Integrated Analysis of Single-Cell and Bulk RNA-Seq Data reveals that Ferroptosis-Related Genes Mediated the Tumor Microenvironment predicts Prognosis, and guides Drug Selection in Triple-Negative Breast Cancer

BackgroundTriple-negative breast cancer (TNBC) is aggressive, lacking methods to predict recurrence and drug sensitivity. Ferroptotic heterogeneity varies in TNBC subtypes. However, the tumor microenvironment (TME) mediated by ferroptosis genes is unclear. Our study aims to integrate single-cell and bulk RNA sequencing (RNA-seq) data to reveal the ferroptosis-mediated TME in TNBC, predicting prognosis and guiding treatment. MethodsThe single-cell and bulk RNA-seq data of TNBC were sourced from the Gene Expression Omnibus (GEO) database. Using these data, a machine learning algorithm was employed to integrate and analyze the characteristics of the TME mediated by ferroptosis-related genes in TNBC. Prediction models for TNBC survival prognosis and drug treatment response were established and then validated in an independent set. ResultsAt the individual cell level, T cells were categorized into three distinct subpopulations, and local macrophages into two subpopulations. The infiltration degree of these different cell subpopulations was closely associated with prognosis and treatment outcomes. Based on this, the risk score model we developed effectively predicted recurrence-free survival in TNBC patients, with independently validated pooled predicted 3-, 4-, and 5-year Area Under the Curves (AUCs) of 0.65, 0.67, and 0.71, respectively. Additionally, we found that patients in the high-risk group may be more responsive to 27 drugs. ConclusionsWe have uncovered the tumor immune cell clusters in TNBC mediated by ferroptosis. A risk score model was constructed to identify high-risk TNBC patients, which can assist physicians in disease monitoring and precision therapy. The genes identified hold significant potential as therapeutic targets for TNBC patients. FundingThis project is funded by the National Natural Science Foundation of China (81974268, 82472000, 82304151), the Talent Incentive Program of Cancer Hospital Chinese, Academy of Medical Sciences (801032247), the Cooperation Fund of CHCAMS (CFA202202023), and the open project of Beijing Key Laboratory of Tumor Invasion and Metastasis Mechanism, Capital Medical University(2023ZLKF03). Impact StatementIntegrating single-cell and bulk RNA-seq data elucidates the role of ferroptosis in TNBC, offering a prognostic model and personalized therapeutic insights.

cancer biology↗

Identifying Alzheimer's disease-related pathways based on whole-genome sequencing data

Alzheimers disease (AD) is a highly inheritable neurodegenerative disorder for which pathway-specific genetic profiling provides insights into its key biological mechanisms and potential treatment targets. Traditional disease-pathway analyses for AD have certain limitations, such as environmental interference and arbitrary sample division. We present a comprehensive framework that starts with genome data, avoiding these drawbacks and offering intrinsic pathway-specific genetic profiling for AD. Whole genome sequencing data from 173 individuals were used to quantify transcriptomes in 14 brain regions, estimate individual-level pathway variant scores, and analyze AD risk for each patient. These results were combined to identify AD-related pathways and quantify their interactions. The predicted expression levels were consistent with previous findings, and the estimated AD risk showed a significant correlation with Braak/Thal scores. A total of 3,798 pathways were identified as potentially associated with AD, with about 19.7% previously reported. Key pathways, including NF-{kappa}B signaling and GSK3{beta} activation, were linked to AD pathogenesis. The interactions among pathways highlighted shared gene functions in AD. In summary, we provided an effective framework for disease-pathway analysis, revealing the interdependence or compensatory effects of pathways in AD.

bioinformatics↗

Alpine lakes harbor diverse, endemic and structurally unique RNA viruses

Alpine lakes, characterized by isolation, low temperatures, oligotrophic conditions, and intense ultraviolet radiation, remain a poorly explored ecosystem for RNA viruses. Here, we present the first comprehensive metatranscriptomic study of RNA viruses in Lake Nam Co, a high-altitude alkaline saline lake on the Tibetan Plateau. Using a combination of sequence- and structure-based homology searches, we identified 742 RNA virus species, including 383 novel genus-level groups and 84 novel family-level groups exclusively found in Lake Nam Co. These findings significantly expand the known diversity of the Orthornavirae, uncovering evolutionary adaptations such as permutated RNA-dependent RNA polymerase (RdRP) motifs and distinct RNA secondary structures. Notably, 14 previously unknown RNA virus families potentially infecting prokaryotes were predicted, broadening the known host range of RNA viruses and questioning the traditional assumption that RNA viruses predominantly target eukaryotes. The presence of auxiliary metabolic genes (AMGs) in viral genomes suggested that RNA viruses (families f.0102 and Nam-Co_family_51) exploit host energy production mechanisms in energy-limited alpine lakes. Low nucleotide diversity, SNP frequencies, and pN/pS ratios indicate strong purifying selection in Nam Co viral populations. Our findings offer insights into RNA virus evolution and ecology, highlighting the importance of extreme environments in uncovering hidden viral diversity, and further shed light into their potential ecological implications, particularly in the context of climate change. Significance StatementThis study unveils the hidden diversity and complexity of RNA viruses in the high-altitude ecosystem of Lake Nam Co, significantly expanding the known RNA virome. The discovery of novel viral clades, expanded potential host ranges, and unique evolutionary adaptations emphasizes the importance of exploring extreme environments to uncover viral diversity and evolutionary pathways. Our findings offer critical insights into viral evolution, host-virus interactions, and the ecological roles of RNA viruses, particularly in the context of climate change and environmental resilience.

microbiology↗

Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer

Colon cancer, as a highly prevalent malignant tumor globally, poses a significant threat to human health. In recent years, ferroptosis and cuproptosis, as two novel forms of cell death, have attracted widespread attention for their potential roles in the development and treatment of colon cancer. However, the investigation into the subtypes and their impact on the survival of colon cancer patients remains understudied. In this study, utilizing data from TCGA and GEO databases, we examined the expression differences of ferroptosis and cuproptosis-related genes in colon cancer and identified two subtypes. Through functional analysis and bioinformatics methods, we elucidated pathway differences and biological characteristics between these two subtypes. By leveraging differential genes between the two subtypes, we constructed a prognostic model using univariate Cox regression and multivariate Cox regression analysis as well as LASSO regression analysis. Further survival analysis and receiver operating characteristic curve analysis demonstrated the models high accuracy. To enhance its clinical utility, we evaluated the clinical significance of the model and constructed a nomogram, significantly improving the predictive ability of the model and providing a new tool for prognostic assessment of colon cancer patients. Subsequently, through immune-related analysis, we revealed differences in immune cell infiltration and immune function between high- and low-risk groups. Further analysis of the relationship between the model and immune cells and functions revealed potential therapeutic targets. Drug sensitivity analysis revealed associations between the expression of model-related genes and drug sensitivity, suggesting their involvement in tumor resistance through certain mechanisms. AZD8055_1059, Bortezomib_1191, Dihydrorotenone_1827, and MG-132_1862 were more sensitive in the high-risk group. Finally, we analyzed differential expression of model-related genes between tumor tissues and normal tissues, validated through real-time quantitative PCR. In summary, our study provides a relatively accurate prognostic tool for colon cancer patients, offering guidance for treatment selection and indicating the potential of immunotherapy in colon cancer.

bioinformatics↗

Evaluate the efficiency of Mr BMT in macrophage replacement of peripheral organs

The successful replacement of endogenous tissue-resident macrophages with healthy bone marrow-derived cells through transplantation presents a promising therapeutic approach for treating disease associated with macrophage dysfunction. Our previous development of the novel microglia replacement by bone marrow transplantation (Mr BMT) method achieved high engraftment efficiency in the central nervous system (CNS), overcoming the limitation of traditional bone marrow transplantation (tBMT). In this study, we aimed to investigate the potential impacts of Mr BMT approach on peripheral organs. The Mr BMT approach involves depleting resident microglia through colony stimulating factor-1 receptor (CSF-1R) inhibition, so we first evaluated the survival of peripheral macrophages after CSF-1R inhibition. We observed that the CSF-1R antagonist, PLX5622, exerted significant elimination of peripheral tissue macrophages, albeit with lower efficiency than in the CNS. Furthermore, we discovered that Mr BMT achieved replacement efficiencies comparable to tBMT in peripheral tissues such as the liver, kidney, lung, and spleen. Our findings suggested Mr BMT is a highly efficient strategy for allogeneic macrophage replacement in both the CNS and peripheral organs, and it could have potential clinical applications.

immunology↗

Mapping Individual Differences in the Topological Landscape of Naturalistic Brain Dynamics

Psychiatry seeks to unravel brain dysfunction and individual differences in real-world contexts. Naturalistic stimuli, like movie watching, are increasingly recognized for eliciting complex, context-dependent neural activity with high ecological validity. Yet, current methods often rely on standard paradigms that average data across time, limiting the full potential of such stimuli. Here, we present STIM, a Topological Data Analysis-based framework designed to dynamically track how individuals integrate complex contexts in real time. Applied to large-sample fMRI data from movie watching, STIM constructs a robust low-dimensional dynamical landscape that reflects group consensus while probing individual variations at both global (spanning narratives) and local (within specific narratives) levels. At the global level, individual differences emerge along a center-periphery gradient in the dynamical landscape, which significantly predicts fluid intelligence, underscoring the importance of neural adaptability and diversity. At finer scales, local geometric features correlate with context-specific psychological traits beyond cognition. STIM also captures developmental changes in the dynamical landscape and reveals abnormalities in conditions such as autism. These findings demonstrate that STIM leverages the rich information from movie stimuli and fMRI recordings as neural probes to assess individual differences in cognition and mental health.

neuroscience↗

TurboID-mediated surface protein biotinylation to inhibit the growth of Staphylococcus aureus

Staphylococcus aureus (S. aureus) infection is major cause of nosocomial infections. Antibiotic treatment for S. aureus remains the primary solution for managing S. aureus infections, which, however, increases the risk of antibiotic resistance. To broaden the resolutions on S. aureus infection, here we report TurboID-mediated protein proximity technologies to inhibit the growth of S. aureus. To achieve this goal, we utilized synthetic biology techniques to create a fusion protein named N-AgrD-TurboID (Agr-ID). The N-AgrD domain includes auto-inducer peptide (AIP) which combined to the surface AgrC protein on S. aureus. As such, TurboID then catalyzed the production of biotinoyl-5-AMP anhydride, triggering the biotinylation of surface proteins on S. aureus 25923 which were visualized by using fluorescence microscopy after incubating with Alexa Fluor 647-conjugated streptavidin. The biotinylation of surface protein on S. aureus 25923, S. aureus 43300, and S. aureus 6538 (MRSA) also resulted in growth inhibition and impaired colonization. Moreover, the biotinylation on surface protein further inhibited virulence protein production in S. aureus 25923, as indicated by reduced apoptosis of HEK 293T cells after treatment with S. aureus 25923 lysates. Overall, our work reveals that the biotinylation of surface proteins can inhibit the growth and toxicity of S. aureus 25923, S. aureus 43300, and S. aureus 6538 (MRSA), indicating therapeutic potential in clinical treatment.

microbiology↗

The continuous differentiation of multiscale structural gradients from childhood to adolescence correlates with the maturation of cortical morphology and functional specialization

From childhood to adolescence, the structural organization of the human brain undergoes dynamic and regionally heterogeneous changes across multiple scales, from synaptic pruning to the reorganization of large-scale anatomical wiring. However, during this period, the developmental process of multiscale structural architecture, its association with cortical morphological changes, and its role in the maturation of functional organization remain largely unknown. Here, we utilized a longitudinal multimodal imaging dataset including 276 children aged 6 to 14 years to investigate the developmental process of multiscale cortical wiring. We used an in vivo model of cortical wiring that combines features of white matter tractography, cortico-cortical proximity, and microstructural similarity to construct a multiscale brain structural connectome. By employing the gradient mapping method, the gradient space derived from the multiscale structural connectome effectively recapitulated the sensory-association axis and anterior-posterior axis. Our findings revealed a continuous expansion of the multiscale structural gradient space during development, with the principal gradient increasingly distinguishing between primary and transmodal regions. This age-related differentiation coincided with regionally heterogeneous changes in cortical morphology. Furthermore, our study revealed that developmental changes in coupling between multiscale structural and functional connectivity were correlated with functional specialization refinement, as evidenced by changes in the participation coefficient. We also found that the differentiation of the principal multiscale structural gradient was associated with improved cognitive abilities, such as enhanced working memory and attention performance, and potentially supported by molecular processes related to synaptic functions. These findings advance our understanding of the intricate maturation process of brain structural organization and its implications for cognitive performance.

neuroscience↗

Microglia replacement effectively attenuates the disease progress of ALSP in the mouse model and human patient

Microglia play critical roles in the brain physiology and pathology. CSF1R is primarily expressed in microglia. The mono-allelic CSF1R mutation causes adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP), a lethal neurological disease and no rational cure in clinical trials. There are no animal models mimicking human ALSP. In this study, we first developed mouse models based on human ALSP hotspot mutations. We then utilized microglia replacement by bone marrow transplantation (Mr BMT) to replace the Csf1r-deficient microglia in ALSP mice by Csf1r-normal donor cells. With pathogenic gene correction, Mr BMT efficiently attenuated the pathologies. Previously, an ALSP patient received traditional bone marrow transplantation (tBMT) due to a misdiagnosis of metachromatic leukodystrophy. The disease progress was halted for 15 years with unknown reasons. We demonstrated that tBMT in ALSP is equivalent to or close to Mr BMT, achieving efficient microglia replacement and therefore attenuating the ALSP progress in the mouse model. Next, we applied tBMT to replace CSF1R-deficient microglia in human patients. Our clinical results show that after microglia replacement, the ALSP course is effectively halted. Together, microglia replacement corrects the pathogenic gene and thus halts the disease progress in the mouse model and human patients. This study strongly demonstrates clinical potentials of microglia replacement in neurological disease treatments.

neuroscience↗