Biology subjects

Xu, Z.

Publications and source records attributed to Xu, Z..

At least 253 records · Page 14Linked to original sources

bioRxiv2023

Utilizing Non-Invasive Prenatal Test Sequencing Data Resource for Human Genetic Investigation

Non-invasive prenatal testing (NIPT) employs ultra-low-pass sequencing of maternal plasma cell-free DNA to detect fetal trisomy. With exceptional sensitivity, specificity, and safety, NIPT has gained global adoption, exceeding ten million tests, establishing it as one of the largest human genetic resources. This resource holds immense potential for exploring population genetic variations and their correlations with phenotypes. Here, we present comprehensive methods tailored for analyzing large, low-depth NIPT genetic datasets, involving customized algorithms and software for genetic variation detection, genotype imputation, and genome-wide association analysis. Through evaluations, we demonstrate that, when integrated with appropriate probabilistic models and population-specific haplotype reference panels, accurate allele frequency estimation and high genotype imputation accuracy (0.8 to 0.9) are achievable for genetic variants with alternative allele frequencies between 0.01 and 0.05, at sequencing depths of 0.1x to 0.25x. Additionally, we attained an R-square exceeding 0.9 for estimating genetic effect sizes across various sequencing platforms. These findings establish a robust theoretical and practical foundation for leveraging NIPT data in advancing medical genetic studies, not only in realms of maternal and child health, but also for long-term health outcomes. HighlightsO_LIIntroduction of probabilistic model integration for analyzing large-scale, low-pass non-invasive prenatal test (NIPT) sequencing data C_LIO_LIEvaluation of protocols for variant detection, genotype imputation, and genome-wide association analyses with NIPT data C_LI

bioinformatics↗

bioRxiv2023

Lithocholic acid targets TULP3 to activate sirtuins and AMPK to retard ageing

Lithocholic acid (LCA), accumulated in the body during calorie restriction (CR), can confer administered metazoans with the ability to activate AMP-activated protein kinase (AMPK) and retard ageing. However, how LCA is signalled to activate AMPK and elicit the biological effects is unclear. Here, we show that LCA can enhance sirtuins (SIRTs) to deacetylate and subsequently inhibit vacuolar H+-ATPase (v-ATPase), thereby triggering AMPK activation via the lysosomal glucose-sensing pathway. Through proteomic analysis of SIRT1-coimmunoprecipitated proteins, we identify and validate that TUB like protein 3 (TULP3) is a constitutive component of SIRTs. Surprisingly, we found that TULP3 is an LCA receptor, and that the LCA-bound TULP3 activates SIRTs. The activated SIRTs in turn deacetylate the V1E1 subunit of v-ATPase on K52, K99 and K191 residues. Muscle-specific expression of the 3KR mutant of V1E1, mimicking the deacetylated state, dominantly activates AMPK and rejuvenates muscles in aged mice. Moreover, LCA once administered also activates AMPK and extends lifespan and healthspan in nematodes and flies, depending on the TULP3 homologues tub-1 and ktub, respectively. Our study thus elucidates that LCA triggers the TULP3-sirtuin-v-ATPase- AMPK route to manifest benefits of calorie restriction.

physiology↗

bioRxiv2023

Landscape and functional repertoires of long noncoding RNAs in the pan-cancer tumor microenvironment using single-nucleus total RNA sequencing

Intratumor heterogeneity (ITH) plays crucial roles in tumor progression. However, the atlas of long noncoding RNAs (lncRNAs) in the context of ITH across multiple cancer types remains largely unexplored. Here, we analyze over 800,000 cells from ten different cancer types generated from the random-primed single-nucleus total RNA sequencing and provide a systematic landscape of lncRNAs in tumor microenvironment (TME) and malignant programs. Our study employe a robust cell annotation pipeline called scAnnotation, which allows us to identify 39 distinct cell types within the pan-cancer TME. By applying stringent criteria, we identify thousands of reliable marker genes, including both mRNAs and lncRNAs. Next, we identify sets of cell type-specific lncRNA-mRNA pairs by our LncPairs algorithm. Moreover, we identify nine expression meta-programs (MPs) associated with diverse biological processes in malignant cells across multiple cancer types. MP-specific lncRNA-transcription factor (TF) regulatory networks are further constructed and key lncRNAs and regulons that exert control over MP-specific gene expression are identified. The comprehensive atlas of lncRNAs in the pan-cancer context, coupled with the bioinformatics tools tailored for the random-primed datasets, is expected to accelerate advancements in the field of lncRNA research at the single-cell resolution.

cancer biology↗

bioRxiv2023

Generalizable features for the diagnosis of infectious disease, autoimmunity and cancer from adaptive immune receptor repertoires

Liquid biopsies based on peripheral blood offer a minimally invasive alternative to solid tissue biopsies for the detection of diseases, primarily cancers. However, such tests currently consider only the serum component of blood, overlooking a potentially rich source of biomarkers: adaptive immune receptors (AIRs) expressed on circulating B and T cells. Machine learning-based classifiers trained on AIRs have been reported to accurately identify not only cancers, but also autoimmune and infectious diseases as well. However, when using the conventional "clonotype cluster" representation of AIRs, donors within a disease or healthy cohort exhibit vastly different features, limiting the generalizability of these classifiers. This paper addresses the challenge of classifying specific diseases from circulating B or T cells by developing a novel representation of AIRs based on similarity networks constructed from their antigen-binding regions (paratopes). Features based on this novel representation, paratope cluster occupancies (PCOs), significantly improved disease classification performance for infectious disease, autoimmunity and cancer. Under identical methodological conditions, classifiers trained on PCOs achieved a mean ROC AUC of 0.893 when applied to new donors, compared to clonotype cluster-based classifiers (0.714) or the best-performing published classifier (0.777). Surprisingly, for cancer patients, we observed that some of the AIRs that were important for classification were significantly more abundant in healthy controls than in individuals with disease. These "healthy-biased" AIRs were predicted to target known cancer-associated antigens at dramatically higher rates than healthy AIRs as a whole (Z scores > 75), suggesting the existence of an overlooked reservoir of cancer-targeting immune cells that are diagnostic and identifiable from a routine blood test. Consequently, PCOs not only enhance classification of a broad range of diseases but also identify immune cells with therapeutic potential.

bioinformatics↗

bioRxiv2023

Examining chromatin heterogeneity through PacBio long-read sequencing of M.EcoGII methylated genomes: an m6A detection efficiency and calling bias correcting pipeline

Recent studies have combined DNA methyltransferase footprinting of genomic DNA in nuclei with long-read sequencing, resulting in detailed chromatin maps for multi-kilobase stretches of genomic DNA from one cell. Theoretically, nucleosome footprints and nucleosome-depleted regions can be identified using M.EcoGII, which methylates adenines in any sequence context, providing a high-resolution map of accessible regions in each DNA molecule. Here we report PacBio long-read sequence data for budding yeast nuclei treated with M.EcoGII and a bioinformatic pipeline which corrects for three key challenges undermining this promising method. First, detection of m6A in individual DNA molecules by the PacBio software is inefficient, resulting in false footprints predicted by random gaps of seemingly unmethylated adenines. Second, there is a strong bias against m6A base calling as AT content increases. Third, occasional methylation occurs within nucleosomes, breaking up their footprints. After correcting for these issues, our pipeline calculates a correlation coefficient-based score indicating the extent of chromatin heterogeneity within the cell population for every gene. Although the population average is consistent with that derived using other techniques, we observe a wide range of heterogeneity in nucleosome positions at the single-molecule level, probably reflecting cellular chromatin dynamics.

genomics↗

bioRxiv2023

Rapid and prolonged response of oligodendrocyte lineage cells in standard acute cuprizone demyelination model revealed by in situ hybridization

Dietary administration of a copper chelator, cuprizone (CPZ), has long been reported to induce intense and reproducible demyelination of several brain structures such as the corpus callosum (CC) in mice, followed by spontaneous remyelination after drug withdrawal. Despite the widespread use of CPZ as an animal model for demyelinating diseases such as multiple sclerosis (MS), the mechanism by which it induces demyelination and then allows robust remyelination is still unclear. An intensive mapping of the oligodendrocyte (OL) lineage cell dynamics during the de-and remyelination course would be of particular importance for a deeper understanding of this model. Here, using a panel of OL lineage cell markers as in situ hybridization (ISH) probes, including Pdgfra, Plp, Mbp, Mog, Enpp6, combined with immunofluorescence staining of CC1, SOX10, we provide a detailed dynamic profile of OL lineage cells during the entire course of the model from 3.5 days, 1, 2, 3, 4,5 weeks of CPZ treatment, i.e. the demyelination period, as well as after 1, 2, 3, 4 weeks of recovery (drug withdrawal) from 5 weeks of CPZ treatment, i.e. the remyelination period. The result showed an unexpected early death of mature OLs and response of OL progenitor cells (OPCs) in vivo upon CPZ challenge, and a prolonged upregulation of myelin-forming OLs compared to the intact control even 4 weeks after CPZ withdrawal. These data may point to the need to optimize the timing windows for the introduction of pro-remyelination therapies in demyelinating diseases such as MS, and may serve as a basic reference system for future studies of the effects of any intervention on demyelination and remyelination using the CPZ model.

neuroscience↗

bioRxiv2023

Individual cell fate and population dynamics revealed by a mathematical model linking telomere length and replicative senescence

Progressive shortening of telomeres ultimately causes replicative senescence and is linked with aging and tumor suppression. Studying the intricate link between telomere shortening and senescence at the molecular level and its population-scale effects over time is challenging with current approaches but crucial for understanding behavior at the organ or tissue level. In this study, we developed a mathematical model for telomere shortening and the onset of replicative senescence using data from Saccharomyces cerevisiae without telomerase. Our model tracks individual cell states, their telomere length dynamics, and lifespan over time, revealing selection forces within a population. We discovered that both cell genealogy and global telomere length distribution are key to determine the population proliferation capacity. We also discovered that cell growth defects unrelated to telomeres also affect subsequent proliferation and may act as confounding variables in replicative senescence assays. Overall, while there is a deterministic limit for the shortest telomere length, the stochastic occurrence of non-terminal arrests drive cells into a totally different regime, which may promote genome instability and senescence escape. Our results offer a comprehensive framework for investigating the implications of telomere length on human diseases. One-sentence SummaryKey determinants of population proliferation capacity in the context of telomere shortening.

molecular biology↗

bioRxiv2023

An automated archival single-nucleus total RNA sequencing platform mapping integrative and retrospective cell atlas of gliomas

Single-cell RNA sequencing (scRNA-seq) has dramatically transformed biomedical research within laboratory settings. It has been extensively employed to investigate the heterogeneity and plasticity of glioma, the most prevalent brain tumor. However, the clinical diagnosis and treatment of glioma remain complex and challenging, highlighting the need for comprehensive cancer research. Currently available scRNA-seq platforms are insufficient to fulfill the demands posed by large-scale clinical applications. Here, we present an automated high-throughput single-nucleus total RNA sequencing platform, known as AAsnRandom-seq. This platform integrates automated single-nucleus isolation and droplet barcoding systems with the random primer-based scRNA-seq chemistry, designed to accommodate a diverse range of sample types. The performance and versatility of AAsnRandom-seq are validated using over one hundred clinical FFPE and frozen samples. AAsnRandom-seq was applied to archival FFPE samples of various glioma subtypes, including rare clinical samples, and matched primary-recurrent glioblastomas (GBMs), delving into the comprehensive molecular characteristic of glioma at single-cell level. Abundant non-coding RNAs (ncRNAs) with distinct expression profiles within different glioma clusters are detected. Promising recurrence-related targets and pathways are identified from the matched primary-recurrent GBMs. AAsnRandom-seq holds significant application value on large-scale integrative and retrospective clinical research using archived specimens.

bioengineering↗

bioRxiv2023

Methyl-TWAS: A powerful method for in silico transcriptome-wide association studies (TWAS) using long-range DNA methylation

In silico transcriptome-wide association studies (TWAS) are commonly used to test whether expression of specific genes is linked to a complex trait. However, genotype-based in silico TWAS such as PrediXcan, exhibit low prediction accuracy for a majority of genes because genotypic data lack tissue- and disease-specificity and are not affected by the environment. Because methylation is tissue-specific and, like gene expression, can be modified by environment or disease status, methylation should predict gene expression with more accuracy than SNPs. Therefore, we propose Methyl-TWAS, the first approach that utilizes long-range methylation markers to impute gene expression for in silico TWAS through penalized regression. Methyl-TWAS 1) predicts epigenetically regulated/associated expression (eGReX), which incorporates tissue-specific expression and both genetically- (GReX) and environmentally-regulated expression to identify differentially expressed genes (DEGs) that could not be identified by genotype-based methods; and 2) incorporates both cis- and trans- CpGs, including various regulatory regions to identify DEGs that would be missed using cis-methylation only. Methyl-TWAS outperforms PrediXcan and two other methods in imputing gene expression in the nasal epithelium, particularly for immunity-related genes and DEGs in atopic asthma. Methyl-TWAS identified 3,681 (85.2%) of the 4,316 DEGs identified in a previous TWAS of atopic asthma using measured expression, while PrediXcan could not identify any gene. Methyl-TWAS also outperforms PrediXcan for expression imputation as well as in silico TWAS in white blood cells. Methyl-TWAS is a valuable tool for in silico TWAS, leveraging a growing body of publicly available genome-wide DNA methylation data for a variety of human tissues.

bioinformatics↗

bioRxiv2023

Insights into spinach domestication from genomes sequences of two wild spinach progenitors, Spinacia turkestanica and S. tetrandra

Cultivated spinach (Spinacia oleracea) is a dioecious species (with male and female flowers on separate individuals). We report high-quality genome assemblies for its two closest wild relatives, S. turkestanica and S. tetrandra, which are also dioecious, to study the genetics of spinach domestication. Using a combination of genomic approaches, we assembled genome sequences of both these species, and analysed them in comparison to the previously assembled S. oleracea genome. These species diverged approximately 6.3 million years ago (Mya), while cultivated spinach split from S. turkestanica (its probable direct progenitor) 0.8 Mya. A common feature of all three species is that all six chromosomes include very large gene-poor, repeat-rich regions. In S. oleracea, these correspond with pericentromeric regions with very low recombination rates in both male and female genetic maps, and we infer that the similar pericentromeric regions in the wild species also recombine rarely. Although these regions include a low proportion of Spinacia genes, many genes are nevertheless within them, and they must be considered when analyzing selection during domestication. As a first approach to the difficult question of detecting genes involved in spinach domestication, we characterized 282 structural variants (SVs) whose frequencies are higher in a set of spinach accessions than in the wild species, suggesting that they mark genome regions that have been selected during domestication. These regions include genes associated with leaf margin type and flowering time. We also describe evidence that the downy mildew resistance loci of cultivated spinach are derived from introgression from both wild spinach species.

genomics↗

bioRxiv2023

Two wild Spinacia species, S. turkestanica and S. tetrandra, genomes reveal a sex chromosome turnover in the genus

Spinach (Spinacia oleracea) is a dioecious species (with male and female flowers on separate individuals). Spinach and its closest wild relative, S. turkestanica, has homomorphic sex chromosomes, but the more distant relative S. tetrandra has heteromorphic sex chromosomes. We report high-quality genome assemblies for S. turkestanica and S. tetrandra. These diverged approximately 6.3 million years ago (Mya), while S. turkestanica split from S. oleracea much more recently, around 0.8 Mya, supporting previous suggestions that S. turkestanica is the direct progenitor of cultivated spinach. Using a combination of genomic approaches, we identified a sex-linked region (SLR) of [~]133 Mb in S. tetrandra. In all three species, the SLRs are within a large pericentromeric region of chromosome 4. We describe evidence that, in S. tetrandra, this region has completely stopped recombining in male meiosis, creating a large Y-linked region (YLR) that has partially degenerated; loss of recombination appears to have evolved in two events that created two "evolutionary strata", one of which and is highly rearranged, relative to the X. The SLRs of S. turkestanica and S. oleracea are much smaller: both include only a 10 Mb Y-specific region which is not detected in S. tetrandra. This was duplicated into a 14 Mb inverted region, and is termed the Y-duplicated region, or "YDR". These findings suggest that a turnover event created the YDR before these species diverged, replacing an extensive ancestral Y-linked region like the S. tetrandra YLR.

genomics↗

bioRxiv2023

FBXO24 ensures male fertility by preventing abnormal accumulation of membraneless granules in sperm flagella

Ribonucleoprotein (RNP) granules are membraneless electron-dense structures rich in RNAs and proteins, and involved in various cellular processes. Two RNP granules in male germ cells, intermitochondrial cement and the chromatoid body (CB), are associated with PIWI-interacting RNAs (piRNAs) and are required for transposon silencing and spermatogenesis. Other RNP granules in male germ cells, the reticulated body and CB remnants, are also essential for spermiogenesis. In this study, we disrupted FBXO24, a testis-enriched F-box protein, in mice and found numerous membraneless electron-dense granules accumulated in sperm flagella. Fbxo24 knockout (KO) mice exhibited malformed flagellar structures, impaired sperm motility, and male infertility, likely due to the accumulation of abnormal granules. The amount and localization of known RNP granule-related proteins were not disrupted in Fbxo24 KO mice, suggesting that the accumulated granules were distinct from known RNP granules. Further studies revealed that RNAs and two importins, IPO5 and KPNB1, abnormally accumulated in Fbxo24 KO spermatozoa and that FBXO24 could ubiquitinate IPO5. In addition, IPO5 and KPNB1 were recruited to stress granules, RNP complexes, when cells were treated with oxidative stress or a proteasome inhibitor. These results suggest that FBXO24 is involved in the degradation of IPO5, disruption of which may lead to the accumulation of abnormal RNP granules in sperm flagella.

developmental biology↗

bioRxiv2023

MiceVAPORDot: A novel automated approach for high-throughput behavioral characterization during E-cigarette exposure in mice

The prosperity of electronic nicotine delivery systems (ENDS) or e-cigarette use has been regarded to lead an increasing risk of nicotine addiction, especially among youth. Understanding and evaluating the behaviors induced by ENDS are fundamental to the study of neuropsychiatric effects of e-cigarettes. However, little is known regarding the behavioral features during e-cigarette exposure in mice. Current behavioral assessments for nicotine addiction are based on nicotine withdrawal-induced anxiety which can be only performed after ENDS exposures. Here we developed MiceVAPORDot, a novel high-throughput tool for automated in situ behavioral characterization during e-cigarette exposure. The integration of a deep learning-based animal pose tracking method by MiceVAPORDot allows precise characterization on behavioral phenotypes of e-vapor exposed mice, which were unable revealed by traditional evaluation methodology such as conditioned place preference and elevated plus maze tests. The behavioral fingerprints recognized by MiceVAPORDot can be used for high-throughput screening on incentive nature of e-cigarette flavors as well as medications for smoking cessation.

animal behavior and cognition↗

bioRxiv2023

Rhodococcus equi Escapes Macrophage Autophagy: VapA Inhibits ATP6V0d1-Mediated Lysosomal Degradation

Rhodococcus equi is a gram-positive actinomycetales bacterial, which cause a pneumonia in foals and in immunocompromised humans. Virulence associated protein A (VapA) encoded from virulence plasmid is essential for intracellular proliferation in macrophage. It has reported that VapA participates in exclusion of proton-pumping vacuolar-ATPase complex from phagosome and causes membrane permeabilization, thus contributing to a pH-neutral phagosome lumen. However, there have been no reports about VapA-induced autophagy or its mechanism. In this study, we sought to determine the role of VapA in macrophage autophagy using western blotting, immunofluorescence, pull-down, Co-IP, LS/MS, pH detection LysoTracker and CFU analysis. We show that VapA inhibiting the macrophage autophagy by detecting the expression of autophagy related protein LC3II and P62 and autophagy flux in VapA treated macrophage. Furthermore, we using pull-down and MS analysis to selected ATP6V0D1 could interact with VapA, Co-IP was used to confirm its interaction. Furthermore, VapA treatment in ATP6V0D1 overexpressed cells weaken the lyso Tracker red stain comparing with ATP6V0D1 overexpressed J774A.1 cells. In addition, the expression of ATP6V0D1 significantly increased in J774A.1 post infected with vapA deletion strain, R. equi 103+/{Delta}VapA by comparing with wild type R. equi 103+ post-infection. And raise of raise of ATP6V0D1 actually reduce R. equi 103+ intracellular multiplication. These results further suggesting a decrease of ATP6V0D1 were caused the exit of VapA in R. equi. Taken those date together, we reported that VapA mediated lysosome acidification by inhibiting the expression of ATP6V0D1, which contributing the R. equi escape macrophage autophagy.

immunology↗

bioRxiv2023

De novo generation of T-cell receptors with desired epitope-binding property by leveraging a pre-trained large language model

Generating T-cell receptors (TCRs) with desired epitope-binding properties is a fundamental step in the development of immunotherapies, yet heavily relies on laborious and expensive wet experiments. Recent advancements in generative artificial intelligence have demonstrated promising power in protein design and engineering. In this regard, we propose a large language model, termed Epitope-Receptor-Transformer (ERTransformer), for the de novo generation of TCRs with the desired epitope-binding property. ERTransformer is built on EpitopeBERT and ReceptorBERT, which are trained using 1.9 million epitope sequences and 33.1 million TCR sequences, respectively. To demonstrate the model capability, we generate 1000 TCRs for each of the five epitopes with known natural TCRs. The artificial TCRs exhibit low sequence identity (average Bit-score 27.64 with a standard deviation of 1.50) but high biological function similarity (average BLOSUM62 score 32.32 with a standard deviation of 12.01) to natural TCRs. Furthermore, the artificial TCRs are not very structurally identical to natural ones (average RMSD 2.84 [A] with a standard deviation of 1.21 [A]) but exhibit a comparable binding affinity towards the corresponding epitopes. Our work highlights the tremendous potential of applying ERTransformer to generate novel TCRs with desired epitope-binding ability.

bioinformatics↗

bioRxiv2023

Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of complex traits in pig.

Understanding the molecular and cellular mechanisms that underlie complex traits in pigs is crucial for enhancing their genetic improvement program and unleashing their substantial potentials in human biomedicine research. Here, we conducted a meta-GWAS analysis for 232 complex traits with 28.3 million imputed whole-genome sequence variants in 70,328 individuals from 14 pig breeds. We identified a total of 6,878 genomic regions associated with 139 complex traits. By integrating with the Pig Genotype-Tissue Expression (PigGTEx) resource, we systemically explored the biological context and regulatory circuits through which these trait-associated variants act and finally prioritized 16,664 variant-gene-tissue-trait circuits. For instance, rs344053754 regulates the expression of UGT2B31 in the liver by affecting the activity of regulatory elements and ultimately influences litter weight at weaning. Furthermore, we investigated the conservation of genetic and regulatory mechanisms underlying 136 human traits and 232 pig traits. Overall, our multi-breed meta-GWAS in pigs provides invaluable resources and novel insights for understanding the regulatory and evolutionary mechanisms of complex traits in both pigs and humans.

genetics↗

bioRxiv2023

SARS-CoV-2 Omicron BA.2.86: less neutralization evasion compared to XBB sub-variants

The continual emergence and circulation of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have caused a great challenge for the coronavirus disease 2019 (COVID-19) pandemic control. Recently, Omicron BA.2.86 was identified with more than 30 amino acid changes on the spike (S) protein, compared to Omicron BA.2 or XBB.1.5. The immune evasion potential of BA.2.86 is of great concern. In this study, we evaluated the neutralizing activities of sera collected from participants and mice. Participants were divided into five groups according to their vaccination (inactivated vaccine, protein subunit vaccine ZF2001 or ZF2202-A) and infection (Omicron BF.7/BA.5.2) status. ZF2202-A is ZF2001 vaccines next-generation COVID-19 vaccine with updated bivalent Delta-BA.5 RBD-heterodimer immunogen. BALB/c mice were immunized with XBB.1.5 RBD-homodimer, BA.5-BA.2, Delta-XBB.1.5 or BQ.1.1-XBB.1.5 RBD-heterodimers protein vaccine candidates for evaluating the neutralizing responses. We found that Omicron BA.2.86 shows stronger immune evasion than BA.2 due to >30 additional mutations on S protein. Compared to XBB sub-variants, BA.2.86 does not display more resistance to the neutralizing responses induced by ZF2001-vaccination, BF.7/BA.5.2 breakthrough infection or a booster dose of ZF2202-A-vaccination. In addition, the mouse experiment results showed that BQ.1.1-XBB.1.5 RBD-heterodimer and XBB.1.5 RBD-homodimer induced high neutralizing responses against XBB sub-variants and BA.2.86, indicating that next-generation COVID-19 vaccine should be developed to enhance the protection efficacy against the circulating strains in the future.

immunology↗

bioRxiv2023

Functional connectome through the human life span

The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free functional and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years from 132 global sites. We report critical inflection points in the nonlinear growth curves of the global mean and variance of the connectome, peaking in the late fourth and late third decades of life, respectively. After constructing a fine-grained, lifespan-wide suite of system-level brain atlases, we show distinct maturation timelines for functional segregation within different systems. Lifespan growth of regional connectivity is organized along a primary-to-association cortical axis. These connectome-based normative models reveal substantial individual heterogeneities in functional brain networks in patients with autism spectrum disorder, major depressive disorder, and Alzheimers disease. These findings elucidate the lifespan evolution of the functional connectome and can serve as a normative reference for quantifying individual variation in development, aging, and neuropsychiatric disorders.

neuroscience↗