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Biology subjects

Wei, D.

Publications and source records attributed to Wei, D..

At least 37 records · Page 2Linked to original sources

Liposome Encapsulation Enables Near-Native Cryo-EM Structural Determination by Shielding Macromolecules from Non-Physiological Interfaces

Cryo-electron microscopy (cryo-EM) has emerged as a very powerful tool for high-resolution structure determination of macromolecule complexes. However, sample preparation remains a major bottleneck in cryo-EM workflows. Most structures were resolved not in a native solution environment, but rather in the non-physiological interfaces such as the air-water interface (AWI), where the folding/unfolding energy landscape of macromolecules may be significantly altered, leading to artifact, preferential orientation, particle disassembly or even denaturation. To address this challenge, we developed a robust, sample-independent method utilizing liposome encapsulation that preserve macromolecules in a solution-like and near native environment throughout sample preparation. Using equine spleen apoferritin and the Escherichia coli (E. coli) ribosome as model systems, we demonstrate efficient particle incorporation into liposomes and successful high-resolution structure determination. Notably, our method yields significantly reduced particle disassembly, denaturation, and preferential orientation compared to samples on holey carbon and graphene grids. We anticipate that this approach will facilitate structural studies of other challenging macromolecular complexes that are sensitive to interfacial effects.

biophysics↗

Multiplexed, scalable analog recording of gene regulation dynamics over weeks using intracellular protein tapes

Gene expression is constantly regulated by gene regulatory networks that consist of multiple regulatory components to mediate cellular functions. An ideal tool for analyzing gene regulation processes would provide simultaneous measurements of the dynamics of many components in the gene regulatory network, but existing methodologies fall short of simultaneously tracking the dynamics of components over long periods of time. Here, we present CytoTape--a genetically encoded, modular, and scalable analog recorder for continuous, multiplexed in situ recording of gene regulation dynamics over multiple days and weeks at single-cell resolution. CytoTape consists of a flexible, thread-like, elongating intracellular protein self-assembly engineered via AI-guided rational design. Gene regulation dynamics, together with timestamps for reconstruction of the continuous time axis, are directly encoded via distinct molecular tags distributed along single CytoTape assemblies in live cells, to be readout at scale after fixation via standard immunofluorescence imaging. CytoTape recorders are modularly designed to record gene expression driven by a variety of activity-dependent promoters. We demonstrated the utility of CytoTape in mammalian embryonic kidney cells, cancer cells, glial cells, and neurons, achieving simultaneous recording of five cell plasticity-associated transcription factor activities and immediate early gene expression levels, namely CREB, c-fos, Arc, Egr1, and Npas4 activities, within single cells in a spatiotemporally scalable manner. CytoTape revealed complex waveforms and nonlinear temporal couplings among these cellular activities, enabling investigations of how gene regulation histories and intrinsic signaling states shape transcriptional logics. We envision CytoTape to have broad applications in both basic and disease-related cell biology research.

synthetic biology↗

Iron acquisition in the weevil-farming fungus Penicillium herquei: Implications of mineral elements in insect-fungus mutualistic association

Mutualistic interactions between insects and fungi are pivotal in ecosystem dynamics, yet the underlying molecular mechanisms remain largely unexplored. This study investigates iron acquisition strategies of the weevil-farming Penicillium herquei, revealing the involvement of mineral elements in insect-fungus symbiosis. Comparative transcriptomics of weevil-farming strain (WFS) and soil free-living strain (SFS) revealed distinct transcriptional profiles, with 4,357 up-regulated genes in WFS. Enrichment analyses highlighted a significant up-regulation of genes linked to oxidoreductase activity, iron and heme binding, with a notable prevalence of Cytochrome P450 (CYP450). qRT-PCR confirmed differential expression of CYP450 and siderophore-related genes, indicating enhanced iron absorption in WFS. Comparative analysis of iron content further demonstrated significantly higher iron levels in WFS than in SFS and weevil host plant leaves, suggesting a nutritional adaptation for symbiotic lifestyle. These findings provide novel insights into the role of iron metabolism in insect-fungus mutualism, highlighting potential evolutionary mechanisms that bolster symbiotic fitness. IMPORTANCEUnraveling the complex interplay between insects and fungi is crucial for deciphering the intricate dynamics of ecosystems. In this study a notable up-regulation of genes associated with iron and heme binding, as well as a significant increase in iron content within WFS, suggesting a specialized adaptation for enhanced iron acquisition, potentially enabling the fungus to efficiently provide essential nutrients, including bioavailable iron, to weevil host. This research not only advances our understanding of the molecular mechanisms governing insect-fungus mutualism but also highlights the potential evolutionary mechanisms that bolster symbiotic fitness and contribute to the co-evolution of these interacting species.

microbiology↗

RNA Architecture Underlies Discontinuous Transcription and Evolution of Coronavirus

Coronaviruses employ discontinuous transcription to produce canonical subgenomic RNAs (sgRNAs) essential for gene expression, as well as non-canonical sgRNAs with unclear function. Nevertheless, the mechanisms regulating the balance between canonical and non-canonical sgRNAs throughout the viral replication cycle remain unknown. We conducted an integrated analysis on 234 transcriptome and 12 RNA-RNA interactome samples across various coronavirus genera. RNA-RNA interactions were identified between TRS-B and TRS-L flanking regions in the same genomic direction, correlating with the formation of canonical junctions. Non-canonical junctions frequently span short or long genomic distance, with short-range junctions generally mediated by reverse complementary stem-loops and coinciding with genomic deletion regions. Conserved long-range non-canonical sgRNAs were identified across different coronaviruses, and these sgRNAs harbor ORF10 or an evolving gene to suppress antiviral innate immune responses. This work establishes a structural framework that enables an understanding of the regulatory mechanism behind discontinuous transcription and the evolutionary pathway of coronaviruses. TeaserDeciphering coronavirus transcription and evolution: an integration analysis of transcriptome and RNA-RNA interactome. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=165 HEIGHT=200 SRC="FIGDIR/small/642953v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@1c58502org.highwire.dtl.DTLVardef@9f87d7org.highwire.dtl.DTLVardef@18f3492org.highwire.dtl.DTLVardef@c49362_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

WormID-Benchmark: Extracting Whole-Brain Neural Dynamics of C. elegans At the Neuron Resolution

The nematode C. elegans is a premier model organism for studying neural circuit function due to its fully mapped connectome and genetically identifiable neurons. Recent advances in 3D light microscopy and fluorescent protein tagging have enabled whole-brain imaging at single-neuron resolution. However, extracting meaningful neural dynamics from these high-resolution recordings requires addressing three fundamental challenges: (i) accurate detection of individual neurons in fluorescence images, (ii) precise identification of neuron classes based on anatomical and colorimetric cues, and (iii) robust tracking of neurons over time in calcium imaging videos. To systematically evaluate these challenges, we introduce WormID-Bench, a large-scale, multi-laboratory dataset comprising 118 worms from five distinct research groups, along with standardized evaluation metrics for detection, identification, and tracking. Our benchmark reveals that existing computational approaches show substantial room for improvement in sensitivity, specificity, and generalization across diverse experimental conditions. By providing an open and reproducible benchmarking framework1, WormID-Bench aims to accelerate the development of high-throughput and scalable computational tools for whole-brain neural dynamics extraction in C. elegans, setting the stage for broader advancements in functional connectomics.

neuroscience↗

The multi-stage plasticity in the aggression circuit underlying the winner effect

Winning increases the readiness to attack and the probability of winning, a widespread phenomenon known as the "winner effect". Here, we reveal a transition from target-specific to generalized aggression enhancement over 10 days of winning in male mice, which is supported by three stages of plasticity in the ventrolateral part of the ventromedial hypothalamus (VMHvl), a critical node for aggression. Over 10-day winning, VMHvl cells experience monotonic potentiation of long-range excitatory inputs, a transient local connectivity strengthening, and a delayed excitability increase. These plasticity events are causally linked. Optogenetically coactivating the posterior amygdala (PA) terminals and VMHvl cells potentiates the PA-VMHvl pathway and triggers the cascade of plasticity events as those during repeated winning. Optogenetically blocking PA-VMHvl synaptic potentiation eliminates all winning-induced plasticity. These results reveal the complex Hebbian synaptic and excitability plasticity in the aggression circuit during winning that ultimately leads to an increase in "aggressiveness" in repeated winners.

neuroscience↗

Exploiting functional regions in the viral RNA genome as druggable entities

RNA-targeting compounds or small interfering RNAs (siRNAs) offer a potent means for controlling viral infections. An essential prerequisite to their design depends on identifying conserved and functional viral RNA structures in cells. Techniques that probe RNA structures in situ have been developed recently including SHAPE-MaP, which has been helpful in analyzing the secondary structures of RNA. In this study, we report on the application of SHAPE-MaP to the Porcine Epidemic Diarrhoea Virus (PEDV) RNA genome to categorize different functional regions including potential quadruplex forming sequence and target sites of siRNA. Our results show that these structures can be exploited to inhibit viral proliferation and that SHAPE-MaP is an effective method to the identification of secondary structures in RNA genomes.

genomics↗

The assembly of Y chromosome reveals amplification of genes regulating male fertility in Bactrocera dorsalis

BACKGROUNDThe oriental fruit fly Bactrocera dorsalis is an invasive pest causing considerable ecological and economic damage worldwide. The Y chromosome is an important target for the sterile insect technique (SIT) but its sequence and structure has been poorly explored. RESULTSWe assembled the genome of B. dorsalis at the chromosome level with a total size of 562.6 Mb. The assembly includes a [~]7.6 Mb Y chromosome sequence, being the first reported Y chromosome in Tephritidae. The assembled Y chromosome is highly repetitive, and contains 61 genes, including 9 multi-copy genes. We surprisingly found that the M factor (MoY) in Tephritidae has multiple copies, verified by our droplet digital PCR (ddPCR) analysis. Besides, we identified 32 copies of gyf-like on the Y chromosome (gyfY) that were highly expressed in testis. RNAi targeting the gyfY resulted in depletion of live sperms, suggesting that the amplification of gyfY is essential for male fertility, which facilitated the understanding of high fecundity of this invasive insect. CONCLUSIONWe reported firstly the Y chromosome of Bactrocera dorsalis. Our results will also provide target genes for CRISPR/Cas9 based SIT, leading to the development of novel control strategies against tephritid flies.

zoology↗

High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification

Plasma-derived extracellular vesicles (EVs) are promising sources of biomarkers. It is still a challenge to isolate EVs from a small amount of human plasma for downstream proteomic analysis. The separation process is hindered by contamination with high-abundance blood proteins and lipoprotein particles, which adversely impact proteomic analyses. Moreover, although EVs immune-separation via magnetic beads often integrates with flow sorting and western blotting (WB), it lacks compatibility with nanoparticle tracking analysis (NTA) and proteomic analysis. To address these issues, we have developed a functional affinity magnetic bead, EVlent (Extracellular Vesicles isoLated Efficiently, Naturally, and Totally), enabling the rapid and efficient separation of EVs from plasma. By optimizing the quantities of magnetic beads and plasma used, we characterized the isolated EVs through WB, NTA, and transmission electron microscopy (TEM), showing a successfully separation of EVs from plasma. Proteomic analysis of these EVs identified over 2,000 proteins and 15,000 peptides from just 100 L of plasma, and nearly 1,000 proteins from trace samples as small as 5 L. Additionally, this isolation method significantly reduced contaminants, including plasma proteins and lipoproteins, compared to ultracentrifugation. Finally, we applied this strategy to plasma samples of healthy individuals and those with Parkinsons disease, identifying four potential biomarkers that provide a promising guidance for clinical diagnosis.

biochemistry↗

Cost-effective DNA storage with DNA movable type

In the face of exponential data growth, DNA-based storage offers a promising solution for preserving big-data. However, most existing DNA storage methods, akin to traditional block printing, require costly chemical synthesis for each individual data file, adopting a sequential, one-time-use synthesis approach. To overcome these limitations, we introduce a novel, cost-effective "DNA-Movable-Type Storage" system, inspired by movable type printing. This system utilizes pre-fabricated DNA movable types-short, double-stranded DNA oligonucleotides encoding specific payload, address, and checksum data. These DNA-MTs are enzymatically ligated/assembled into cohesive sequences, termed "DNA movable type blocks", streamlining the assembly process with the automated BISHENG-1 DNA-MT inkjet printer. Using BISHENG-1, we successfully printed, assembled, stored and accurately retrieved 43.7 KB of data files in diverse formats (text, image, audio, and video) in vitro and in vivo, using only 350 DNA-MTs. Notably, each DNA-MT, synthesized once (2 OD), can be used up to 10,000 times, reducing costs to 122 $/MB-outperforming existing DNA storage methods. This innovation circumvents the need to synthesize entire DNA sequences encoding files from scratch, offering significant cost and efficiency advantages. Furthermore, it has considerable untapped potential to advance a robust DNA storage system, better meeting the extensive data storage demands of the big-data era.

bioinformatics↗

Dynamic Modeling of Antibody Repertoire Reshaping in Response to Viral Infections

For many years, researchers have emphasized the production of high-affinity specific antibodies by hosts during viral infections. However, this has made it challenging for immunologists to systematically evaluate the initiation mechanisms of humoral immunity in specific immune responses. Employing mathematical modeling, we have systematically investigated the dynamic changes of the entire antibody atlas in response to exogenous antigenic stimuli, including viral infections. Our study reveals that the hosts antibody atlas is reshaped during viral infection, not through the proliferation of individual antibody types, but rather through the proliferation of antibody pools with strong binding activity. Moreover, we observe a contraction in pools of antibodies with low binding activity. We have identified the crucial role of self-antigens in maintaining antibody persistence, which can effectively explain the organisms lifelong protection against pathogens that are less prone to mutation. Using this model, we further explore the mechanisms underlying original antigenic sin and elucidate the specific practical applications of this model. This research transcends the limitations of mere mathematical parameter fitting, as we endeavor to elucidate the complex humoral immune processes using physical mechanisms as a foundation. Our work contributes to a renewed understanding of the antibody elicitation process in specific immune responses.

immunology↗

Anatomics MLT, an AI tool for large scale quantification of ultrastructural traits

The ever increasing breadth of biological knowledge has led to recent efforts to combine information from various fields into cell- or tissue atlases. Anatomical features are the structural basis for such efforts, but unfortunately large scale analysis of subcellular anatomical traits is currently a missing feature. Similarly, small phenotypic alterations of organelle- or cell-specific anatomical traits, such as an increase of the total volume or the number of mitochondria in response to certain stimuli, are currently hard to quantify. To provide tools to extract quantitative information from available 3D microscopic datasets generated with methods such as serial block face scanning electron microscopy we a) developed much improved fixation and embedding protocols for plants to drastically reduce processing artifacts and b) generated an easy-to-use AI tool for quantitative analysis and visualization of large-scale data sets. We make this tool available as open source.

cell biology↗

Colorectal ALOX15 as a host factor determinant of EPA and DHA effects on colorectal carcinogenesis

Eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), omega-3 polyunsaturated fatty acids ({omega}-3 PUFAs) derived from fish oil, are widely used as dietary supplements and FDA-approved treatments for hypertriglyceridemia. However, studies investigating the effects of EPA and DHA on colorectal carcinogenesis (CRC) have yielded conflicting results. The factors that determine these discrepant results remain unknown. Resolvins, oxidative metabolites of EPA and DHA, inhibit key pro-tumorigenic cytokine and chemokine signaling of colorectal cancer (e.g., IL-6, IL-1{beta}, and CCL2). 15-lipoxygenase-1 (ALOX15), a critical enzyme for resolvin generation is commonly lost during human CRC. Whether ALOX15 expression, as a host factor, modulates the effects of EPA and DHA on CRC remains unknown. Therefore, we evaluated the effects of ALOX15 transgenic expression in colonic epithelial cells on resolvin generation by EPA and DHA and CRC in mouse models representative of human CRC. Our results revealed that 1) EPA and DHA effects on CRC were diverse, ranging from suppressive to promotive, and these effects were occasionally altered by the formulations of EPA and DHA (free fatty acid, ethyl ester, triglyceride); 2) EPA and DHA uniformly suppressed CRC in the presence of intestinal ALOX15 transgenic expression, which induced the production of resolvins, decreased colonic CCL3-5 and CXCL-5 expression and tumor associated macrophages while increasing CD8 T cell abundance in tumor microenvironment; and 3) RvD5, the predominant resolvin produced by ALOX15, inhibited macrophage generation of pro-tumorigenic cytokines. These findings demonstrate the significance of intestinal ALOX15 expression as a host factor in determining the effects of EPA and DHA on CRC. SignificanceEicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) are widely used as dietary supplements and FDA-approved treatments for hypertriglyceridemia. Studies of EPA and DHA effects on colorectal carcinogenesis (CRC) have revealed inconsistencies; factors determining the direction of their impact on CRC have remained unidentified. Our data show that EPA and DHA effects on CRC were divergent and occasionally influenced by their formulations. More importantly, intestinal 15-lipoxgenase-1 (ALOX15) expression modulated EPA and DHA effects on CRC, leading to their consistent suppression of CRC. ALOX15 promoted EPA and DHA oxidative metabolism to generate resolvins, which inhibited key pro-tumorigenic inflammatory cytokines and chemokines, including IL-6. IL-1{beta}, and CCL2. ALOX15 is therefore an important host factor in determining EPA and DHA effects on CRC.

cancer biology↗

FGF2 binds to the allosteric site (site 2) and activates αvβ3 integrin and FGF1 binds to site 2 but suppresses integrin activation by FGF2: a potential mechanism of anti-inflammatory action of FGF1

FGF1 is known as an anti-inflammatory and has suppresses insulin resistance. Its homologue FGF2 is pro-inflammatory. Mechanism of FGF1s anti-inflammatory action and FGF2s pro-inflammatory action are unknown. Several inflammatory cytokines (e.g., CX3CL1, CCL5, and CXCL12, and CD40L) bind to the classical ligand (RGD)-binding site (site 1) of integrin v{beta}3. In addition, they bind to the allosteric site (site 2) of v{beta}3, which is distinct from site 1, and allosterically activate v{beta}3. Site 2 is involved in inflammatory signals since inflammatory lipid mediator 5-hydroxycholesterol binds to site 2 and induces integrin activation and inflammatory signals (e.g., TNF and IL-6 secretion). We thus hypothesized that FGF1 and FGF2 bind to site 2 and affect activation status of integrins. Here we describe that FGF2 bound to site 2 and allosterically activated v{beta}3 integrin. Point mutations in the site 2-binding interface of FGF2 suppressed this activation, indicating that FGF2 binding to site 2 is required for inducing integrin activation. In contrast, FGF1 bound to site 2 but did not activate v{beta}3, and instead suppressed integrin activation induced by FGF2, indicating that FGF1 acts as an antagonist of site 2. These findings suggest that FGF1s anti-inflammatory action is mediated by blocking site 2. FGF1 has potential as an anti-inflammatory agent, but is not appropriate for long-term use since it is potent mitogen. A non-mitogenic FGF1 mutant (R50E), which is defective in binding to site 1 of v{beta}3, suppressed v{beta}3 activation by FGF2 as effectively as WT FGF1. We propose that FGF1 R50E has therapeutic potential for inflammatory diseases.

biochemistry↗

FGF2 binds to the allosteric site (site 2) and activates integrin αIIbβ3 and FGF1 binds to site 2 but suppresses integrin activation by FGF2: A potential mechanism of anti-thrombotic action of FGF1.

It has been believed that platelet integrin IIb{beta}3 recognizes fibrinogen and several ECM proteins, and we recently showed that IIb{beta}3 binds to several inflammatory cytokines (e.g., CCL5, and CXCL12), which are stored in platelet granules. These ligands bind to the classical ligand (RGD)-binding site (site 1) of integrin IIb{beta}3. Also, they bind to the allosteric site (site 2) of IIb{beta}3, which is distinct from site 1, and allosterically activate IIb{beta}3. Site 2 is known to be involved in allosteric integrin activation and inflammatory signaling. FGF2 is also stored in platelet granules and known to be pro-thrombotic, but it is unclear if FGF2 binds to IIb{beta}3. We studied if FGF2 and its homologue FGF1 bind to IIb{beta}3 and induce allosteric activation. FGF1 (not stored in platelet granules) is known to be anti-thrombotic. Mechanism of FGF1s anti-thrombotic action is unknown. Here we describe that FGF1 and FGF2 bound to site 1 of IIb{beta}3, indicating that IIb{beta}3 is a new receptor for FGF1/2. Notably, FGF2 bound to site 2 and allosterically activated IIb{beta}3. Point mutations in the site 2-binding interface of FGF2 suppressed this activation, indicating that FGF2 binding to site 2 is required for activation (FGF2 is an agonist to site 2). In contrast, FGF1 bound to site 2 but did not activate IIb{beta}3, and instead suppressed integrin activation induced by FGF2, indicating that FGF1 acts as an antagonist of site 2. A non-mitogenic FGF1 mutant (R50E), which is defective in binding to site 1 of v{beta}3, suppressed IIb{beta}3 activation by FGF2 as effectively as WT FGF1. We propose that FGF1 R50E has therapeutic potential for anti-thrombosis.

biochemistry↗

Mathematical Modelling Indicates Th-cell Targeted Antibody-Dependent Cellular Cytotoxic Is a Crucial Obstacle Hurdling HIV Vaccine Development

HIV poses a significant threat to human health. Although some progress has been made in the development of an HIV vaccine, there is currently no reported success in achieving an effective and fully functional vaccine for HIV. This highlights the challenges involved in HIV vaccine development. Through mathematical modeling, we have conducted a systematic study on the impact of antibody-dependent cellular cytotoxicity (ADCC) on HIV-specific immune responses. Unlike other viral infections, the ADCC effect following HIV infection may cause significant damage to the follicular center Th cells, leading to apoptosis of follicular center cells and rapid death of effector Th cells. This impedes the generation of neutralizing antibodies and creates barriers to viral clearance, thereby contributing to long-term infection. Another challenge posed by this effect is the substantial reduction in vaccine effectiveness, as effective antigenic substances such as gp120 bind to Th cell surfaces, resulting in the apoptosis of follicular center Th cells due to ADCC, hindering antibody regeneration. To address this issue, we propose the concept of using bispecific antibodies. By genetically editing B cells to insert the bispecific antibody gene, which consists of two parts-one targeting the CD4 binding site of HIV, such as the broadly neutralizing antibody 3BNC117, and the other targeting antibodies against other viruses, such as the spike protein of SARS-CoV-2-we can simultaneously enhance the levels of two pathogen-specific antibodies through stimulation with non-HIV-antigens corresponding to the other part of the chimeric antibody, such as the spike protein. This study contributes to the elucidation of the pathophysiology of HIV, while also providing a theoretical framework for the successful development of an HIV vaccine.

immunology↗

BiaPy: A unified framework for versatile bioimage analysis with deep learning

BiaPy is an open-source library and application that streamlines the use of common deep learning approaches for bioimage analysis. Designed to simplify technical complexities, it offers an intuitive interface, zero-code notebooks, and Docker integration, catering to both users and developers. While focused on deep learning workflows for 2D and 3D image data, it enhances performance with multi-GPU capabilities, memory optimization, and scalability for large datasets. Although BiaPy does not encompass all aspects of bioimage analysis, such as visualization and manual annotation tools, it empowers researchers by providing a ready-to-use environment with customizable templates that facilitate sophisticated bioimage analysis workflows.

bioinformatics↗

Brain-Age Prediction: Systematic Evaluation of Site Effects, and Sample Age Range and Size

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of site harmonization, age range, and sample size on brain-age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5-90 years; 53.59% female). The pre-trained models were tested for cross-dataset generalizability in an independent sample comprising 2,101 healthy individuals (age range: 8-80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9-25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age-bins (5-40 years and 40-90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain-age prediction plateaued at a sample size exceeding 1,600 participants. These findings have been incorporated into CentileBrain [https://centilebrain.org/#/brainAGE2], an open-science, web-based platform for individualized neuroimaging metrics.

bioinformatics↗