Biology subjects

Peng, X.

Publications and source records attributed to Peng, X..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

A Nerve-Fibroblast Axis in Mammalian Lung Fibrosis

Fibrosis contributes to incurable pathologies in vital organs including the lung. Myofibroblasts are fibrogenic effector cells that accumulate via incompletely understood mechanisms. We discovered that 1-adrenoreceptor expressing myofibroblasts receive sympathetic nerve-derived noradrenergic inputs in fibrotic mouse and human lungs. We combined optical clearing, whole lung imaging, cell-specific gene deletion in sympathetic nerves and myofibroblasts, pharmacologic interventions, sympathetic nerve co-culture and precision-cut lung slices, with analysis of bronchoalveolar lavage fluid, lung tissues, single-cell RNA sequencing datasets, and isolated lung fibroblasts from patients with diverse forms of pulmonary fibrosis to characterize a fibrogenic unit comprised of aberrantly patterned sympathetic nerves and 1-adrenoreceptor subtype D expressing myofibroblasts. The discovery of this previously undefined nerve-fibroblast axis that is conserved across species demonstrates the pivotal contribution of nerves to tissue remodeling and heralds a novel paradigm in fibrosis research.

cell biology↗

bioRxiv2024

Reciprocal regulation of m6A modification and miRNA production machineries via phase separation-dependent and -independent mechanisms

Methyltransferase complex (MTC) deposits N6-adenosine (m6A) onto RNA, whereas microprocessor produces miRNA. Whether and how these two distinct complexes cross-regulate each other has been poorly studied. Here we report that the MTC subunit B (MTB) tends to form insoluble condensates with poor activity, with its level monitored by 20S proteasome. Conversely, the microprocessor component SERRATE (SE) forms liquid-like condensates, which in turn promotes solubility and stability of MTB, leading to increased MTC activity. Consistently, the hypomorphic lines expressing SE variants, defective in MTC interaction or liquid-like phase behavior, exhibit reduced m6A level. Reciprocally, MTC can recruit microprocessor to MIRNA loci, prompting co-transcriptional cleavage of primary miRNA (pri-miRNAs) substrates. Additionally, pri-miRNAs carrying m6A modifications at their single-stranded basal regions are enriched by m6A readers, which retain microprocessor in the nucleoplasm for continuing processing. This reveals an unappreciated mechanism of phase separation in RNA modification and processing through MTC and microprocessor coordination.

plant biology↗

bioRxiv2024

Spatial Immunophenotyping from Whole-Slide Multiplexed Tissue Imaging Using Convolutional Neural Networks

The multiplexed immunofluorescence (mIF) platform enables biomarker discovery through the simultaneous detection of multiple markers on a single tissue slide, offering detailed insights into intratumor heterogeneity and the tumor-immune microenvironment at spatially resolved single cell resolution. However, current mIF image analyses are labor-intensive, requiring specialized pathology expertise which limits their scalability and clinical application. To address this challenge, we developed CellGate, a deep-learning (DL) computational pipeline that provides streamlined, end-to-end whole-slide mIF image analysis including nuclei detection, cell segmentation, cell classification, and combined immuno-phenotyping across stacked images. The model was trained on over 750,000 single cell images from 34 melanomas in a retrospective cohort of patients using whole tissue sections stained for CD3, CD8, CD68, CK-SOX10, PD-1, PD-L1, and FOXP3 with manual gating and extensive pathology review. When tested on new whole mIF slides, the model demonstrated high precision-recall AUC. Further validation on whole-slide mIF images of 9 primary melanomas from an independent cohort confirmed that CellGate can reproduce expert pathology analysis with high accuracy. We show that spatial immuno-phenotyping results using CellGate provide deep insights into the immune cell topography and differences in T cell functional states and interactions with tumor cells in patients with distinct histopathology and clinical characteristics. This pipeline offers a fully automated and parallelizable computing process with substantially improved consistency for cell type classification across images, potentially enabling high throughput whole-slide mIF tissue image analysis for large-scale clinical and research applications.

bioinformatics↗

bioRxiv2024

DMRIntTk: integrating different DMR sets based on density peak clustering

BackgroundIdentifying differentially methylated regions (DMRs) is a basic task in DNA methylation analysis. However, due to the different strategies adopted, different DMR sets will be predicted on the same dataset, which poses a challenge in selecting a reliable and comprehensive DMR set for downstream analysis. ResultsHere, we develop DMRIntTk, a toolkit for integrating DMR sets predicted by different methods on a same dataset. In DMRIntTk, the genome is segmented into bins and the reliability of each DMR set at different methylation thresholds is evaluated. Then, the bins are weighted based on the covered DMR sets and integrated into DMRs by using a density peak clustering algorithm. To demonstrate the practicality of DMRIntTk, DMRIntTk was applied to different scenarios, including different tissues with relatively large methylation differences, cancer tissues versus normal tissues with medium methylation differences, and disease tissues versus normal tissues with subtle methylation differences. The results show that DMRIntTk can effectively trim the regions with small methylation differences in the original DMR sets and therefore it can enhance the proportion of DMRs with higher methylation differences. In addition, the overlap analysis suggests that the integrated DMR sets are quite comprehensive, and the functional analysis indicates the integrated disease-related DMR sets are significantly enriched in biological pathways, which are associated with the pathological mechanisms of the diseases. ConclusionsConclusively, DMRIntTk can help researchers obtaining a reliable and comprehensive DMR set from many prediction methods.

bioinformatics↗

bioRxiv2024

Lacticaseibacillus rhamnosus P118 enhances host tolerance to Salmonella infection by promoting microbe-derived indole metabolites

Salmonella is one of the most common foodborne pathogens, resulting in inflammatory gastroenteritis and frequently accompanied by dysbiosis. Gut commensals, such as Lactobacillus species, have been proven to exhibit broad anti-bacterial activities and protect hosts against pathogenic infections. Here, Lacticaseibacillus rhamnosus strain P118, screened from 290 isolates recovered from fermented yoghurts and healthy piglet intestines using traditional and Caenorhabditis elegans-infection screening strategies, exerts great probiotic properties. Notably, P118 and its supernatant exhibited great antibacterial activities and attenuated C. elegans susceptibility to Salmonella infection. We found that P118 protected mice against Salmonella lethal infections by enhancing colonization resistance, reducing pathogen invasion, alleviating intestinal pro-inflammatory response, and improving microbial dysbiosis and fecal metabolite changes. Microbiota and fecal metabolome analyses suggested P118 administration significantly decreased the relative abundances of potentially harmful microbes (e.g., Salmonella, Anaeroplasma, Klebsiella) and increased the fecal levels of tryptophan and its derivatives (indole, indole-3-acrylic acid, 5-hydroxytryptophan, 5-methoxyindoleacetate). Deterministic processes determined the gut microbial community assembly of P118-pretreated mice. Integrated omics further demonstrated that P118 probiotic activities in enhancing host tolerance to Salmonella infection were mediated by microbe-derived tryptophan/indole metabolites (e.g., indole-3-acrylic acid, indole, tryptophan, 5-methoxyindoleacetic acid, and 5-hydroxytryptophan). Collective results demonstrate that L. rhamnosus P118 could enhance host tolerance to Salmonella infections via various pathways, including direct antibacterial actions, inhibiting Salmonella colonization and invasion, attenuating pro-inflammatory responses of intestinal macrophages, and modulating gut microbiota mediated by microbe-derived indole metabolites.

microbiology↗

bioRxiv2024

Impact of Parental Time-Restricted Feeding on Offspring Metabolic Phenotypic Traits

A substantial body of research elucidates the mechanisms and health advantages associated with intermittent fasting (IF). However, the impact of parental IF on offspring remains unclear. Through an investigation involving four IF and ad libitum combinations of parental mating groups, we demonstrate that parental IF (daily time-restricted feeding) influences offsprings metabolic health indicators in male and female offspring in distinct ways. We found that when both parents are on IF their offspring exhibit protection against the adverse effects of a high-fat, high-sugar, and high-salt diet in a sex-specific manner. This study underscores the potential significance of parental lifestyle modifications involving dietary restriction for the metabolic status of their children and their risk for obesity and diabetes.

genetics↗

bioRxiv2024

Perirhinal and postrhinal cortices are necessary for retrieving latently-acquired stimulus associations

The perirhinal and postrhinal cortices reside in the parahippocampal region of the medial temporal lobe. They receive and process sensory information from cortical and subcortical sources and support hippocampal functions via direct connectivity and indirectly via the entorhinal cortex. Previous studies using the sensory preconditioning paradigm have shown that the perirhinal and postrhinal cortices are necessary for associating cues during preconditioning and retrieving the associations during conditioning. However, the question of whether these regions are also required for stimulus association retrieval during re-exposure to the preconditioning cue had not been addressed. Using a chemogenetic approach, we temporarily suppressed the perirhinal or postrhinal cortex in adult male rats during the preconditioning cue test phase. Both suppression groups showed impaired sensory preconditioning compared to sham surgery controls, as indicated by significantly reduced preferential responding. Implications of our findings are discussed in relation to the importance of the PER and POR in context processing and episodic-like memory in animal models. Significance statementAlthough Pavlovian conditioning between two stimuli is widely used in neuroscience, associative learning in the real-world is often too complex to be modeled by first-order conditioning alone. Proper responding may require integrating multiple associations via common elements, i.e. higher-order conditioning, the neural basis of which is not well understood. Whereas existing research indicates the perirhinal and postrhinal cortices in the medial temporal lobe contribute to certain forms of sensory preconditioning (SPC, a type of higher-order conditioning), we suggest their contributions lie in the encoding and retrieving latently acquired associations, processes which are central to all forms of SPC. We argue this interpretation also captures perirhinal and postrhinal contributions to contextual and episodic memory, hence offering a unifying explanation regarding the contributions of these cortices across multiple paradigms.

animal behavior and cognition↗

bioRxiv2024

Temperature-Dependent Fold-Switching Mechanism of the Circadian Clock Protein KaiB

The oscillator of the cyanobacterial circadian clock relies on the ability of the KaiB protein to switch reversibly between a stable ground-state fold (gsKaiB) and an unstable fold-switched fold (fsKaiB). Rare fold-switching events by KaiB provide a critical delay in the negative feedback loop of this post-translational oscillator. In this study, we experimentally and computationally investigate the temperature dependence of fold switching and its mechanism. We demonstrate that the stability of gsKaiB increases with temperature compared to fsKaiB and that the Q10 value for the gsKaiB [->] fsKaiB transition is nearly three times smaller than that for the reverse transition. Simulations and native-state hydrogen-deuterium exchange NMR experiments suggest that fold switching can involve both subglobally and near-globally unfolded intermediates. The simulations predict that the transition state for fold switching coincides with isomerization of conserved prolines in the most rapidly exchanging region, and we confirm experimentally that proline isomerization is a rate-limiting step for fold switching. We explore the implications of our results for temperature compensation, a hallmark of circadian clocks, through a kinetic model.

biochemistry↗

bioRxiv2024

Influences of single mutation and retinal binding on the THz absorption spectra of CRABP-II based rhodopsin mimics

The collective vibration of many biomolecules such as the skeleton vibration, dipole rotation and conformational bending falls in the terahertz (THz) frequency domain. Terahertz time-domain spectroscopy (THZ-TDS), which is very sensitive to the conformational changes, can be used to characterize the collective vibration of biomolecules. In this study, we investigated the low-frequency THz absorption spectra of two rhodopsin mimics using transmission THz-TDS. Using the normal model analysis (NMA), we successfully modelled the experimental terahertz absorption curve and attributed a unique collective motion pattern to each distinctive terahertz absorption frequency. By comparing the terahertz absorption spectra between without and with retinal, we show that the retinal binding can significantly alters the terahertz absorption spectra as well as the vibration modes. Furthermore, by comparing the terahertz absorption spectra between the two mutants, we observed that the single mutation can significantly change the influence of retinal binding on the terahertz absorption spectrum.

biophysics↗

bioRxiv2024

A New Large-Scale Extracellular Vesicle Production Strategy for Biomedical Drug Development

1.Extracellular Vesicles (EVs) are nanoscale to microscale membranous vesicles released by cells. They are vital for intercellular communications in physiological and pathological conditions, offering immense potential in diagnostics and therapeutical applications due to their ability to transfer diverse biological cargos between cells. While research of EVs is continuously gaining popularity in academia, large-scale manufacturing aiming for clinical applications remains challenging. Herein, we introduce a novel large-scale EV production strategy, including an upstream process with fed-batch suspension HEK293 cell culture, and a downstream process with chromatographic purification for ultra-pure EVs. Such promising EV production strategy enables the potential capability of large scale GMP manufacture of EVs for clinical applications.

bioengineering↗

bioRxiv2024

Multilayered interaction between CRISPR-Cas subtype I-A and adjacently encoded Acrs of virus SIRV2

Among the >100 anti-CRISPRs (Acrs) identified to date, the vast majority inhibit CRISPR-Cas immunity on its own. Here we report a multilayered interaction between CRISPR-Cas subtype I-A immunity and two Acrs encoded adjacently in the genome of Saccharolobus virus SIRV2, gp47 (AcrIA3) and gp48 (previously known as AcrIIIB1, hence termed AcrIIIB1/AcrIA4). The host subtype I-A CRISPR-Cas interference module was shown previously to be up-regulated upon SIRV2 infection, through the release of transcriptional repressor Csa3b from the promoter. We demonstrate that AcrIIIB1/AcrIA4 on its own increases viral infectivity 4-5 orders of magnitude in the presence of the host subtype I-A CRISPR-Cas immunity. This Acr is able to completely inhibit the subtype I-A CRISPR-Cas immunity when the transcriptional activation of the latter is artificially removed, suggesting that Acrs might be one of the driving forces for the evolution of CRISPR-Cas up-regulation. Interestingly, AcrIA3 cooperates with AcrIIIB1/AcrIA4 by inhibiting transcriptional activation of the host subtype I-A CRISPR-Cas interference module through interaction with the promoter of the latter. Taken together, our data shed light on how virus-host arms race shaped the evolution of CRISPR-Cas and Acrs.

microbiology↗

bioRxiv2024

Human long noncoding RNA, VILMIR, is induced by major respiratory viral infections and modulates the host interferon response

Long noncoding RNAs (lncRNAs) are a newer class of noncoding transcripts identified as key regulators of biological processes. Here we aimed to identify novel lncRNA targets that play critical roles in major human respiratory viral infections by systematically mining large-scale transcriptomic datasets. Using bulk RNA-sequencing (RNA-seq) analysis, we identified a previously uncharacterized lncRNA, named virus inducible lncRNA modulator of interferon response (VILMIR), that was consistently upregulated after in vitro influenza infection across multiple human epithelial cell lines and influenza A virus subtypes. VILMIR was also upregulated after SARS-CoV-2 and RSV infections in vitro. We experimentally confirmed the response of VILMIR to influenza infection and interferon-beta (IFN-{beta}) treatment in the A549 human epithelial cell line and found the expression of VILMIR was robustly induced by IFN-{beta} treatment in a dose and time-specific manner. Single cell RNA-seq analysis of bronchoalveolar lavage fluid (BALF) samples from COVID-19 patients uncovered that VILMIR was upregulated across various cell types including at least five immune cells. The upregulation of VILMIR in immune cells was further confirmed in the human T cell and monocyte cell lines, SUP-T1 and THP-1, after IFN-{beta} treatment. Finally, we found that knockdown of VILMIR expression reduced the magnitude of host transcriptional responses to IFN-{beta} treatment in A549 cells. Together, our results show that VILMIR is a novel interferon-stimulated gene (ISG) that regulates the host interferon response and may be a potential therapeutic target for human respiratory viral infections upon further mechanistic investigation. IMPORTANCEIdentifying host factors that regulate the immune response to human respiratory viral infection is critical to developing new therapeutics. Human long noncoding RNAs (lncRNAs) have been found to play key regulatory roles during biological processes, however the majority of lncRNA functions within the host antiviral response remain unknown. In this study, we identified that a previously uncharacterized lncRNA, VILMIR, is upregulated after major respiratory viral infections including influenza, SARS-CoV-2, and RSV. We demonstrated that VILMIR is an interferon-stimulated gene that is upregulated after interferon-beta (IFN-{beta}) in several human cell types. We also found that knockdown of VILMIR reduced the magnitude of host transcriptional responses to IFN-{beta} treatment in human epithelial cells. Our results reveal that VILMIR regulates the host interferon response and may present a new therapeutic target during human respiratory viral infections.

immunology↗

bioRxiv2024

Pre-challenge gut microbial signature predicts RhCMV/SIV vaccine efficacy in rhesus macaques

BackgroundRhCMV/SIV vaccines protect [~]59% of vaccinated rhesus macaques against repeated limiting-dose intra-rectal exposure with highly pathogenic SIVmac239M, but the exact mechanism responsible for the vaccine efficacy is not known. It is becoming evident that complex interactions exist between gut microbiota and the host immune system. Here we aimed to investigate if the rhesus gut microbiome impacts RhCMV/SIV vaccine-induced protection. MethodsThree groups of 15 rhesus macaques naturally pre-exposed to RhCMV were vaccinated with RhCMV/SIV vaccines. Rectal swabs were collected longitudinally both before SIV challenge (after vaccination) and post challenge and were profiled using 16S rRNA based microbiome analysis. ResultsWe identified [~]2,400 16S rRNA amplicon sequence variants (ASVs), representing potential bacterial species/strains. Global gut microbial profiles were strongly associated with each of the three vaccination groups, and all animals tended to maintain consistent profiles throughout the pre-challenge phase. Despite vaccination group differences, using newly developed compositional data analysis techniques we identified a common gut microbial signature predictive of vaccine protection outcome across the three vaccination groups. Part of this microbial signature persisted even after SIV challenge. We also observed a strong correlation between this microbial signature and an early signature derived from whole blood transcriptomes in the same animals. ConclusionsOur findings indicate that changes in gut microbiomes are associated with RhCMV/SIV vaccine-induced protection and early host response to vaccination in rhesus macaques.

microbiology↗

bioRxiv2024

Selective attention modulates feature accumulation speed during perception and memory retrieval

Mounting evidence indicates that information processing in the visual hierarchy follows a sequential progression from low-level perceptual to high-level conceptual features during visual perception, with the reverse order during memory retrieval. However, the nature of this hierarchical processing and its modulation by selective attention remains unclear. By integrating a deep neural network with the drift-diffusion model on reaction time data, we identified parallel processing of perceptual and conceptual features during perception, rather than sequential processing. The slower reaction times observed in conceptual tasks compared to perceptual tasks were primarily driven by the larger decision boundary and longer non-decision time associated with conceptual features, which could not be compensated by their faster evidence accumulation rates. Using single-trial multivariate decoding of MEG (magnetoencephalography) data to examine the timing of neural representations of different features, we found that selective attention reversed the onset times of perceptual and conceptual features in the occipital and parietal lobes during perception. This led to earlier detection of conceptual features compared to perceptual features in the animacy and size tasks. During retrieval, the colour task exhibited earlier peak times for perceptual features compared to conceptual features in the frontal lobe, indicating that perceptual features were reconstructed with the highest fidelity before conceptual features. These findings provide novel insights into the hierarchical nature of information processing during perception and retrieval, emphasizing the crucial role of selective attention in modulating the speed of feature information accumulation.

neuroscience↗

bioRxiv2023

Fully flexible molecular alignment enables accurate ligand structure modelling

Accurate protein-ligand binding poses are the prerequisites of structure-based binding affinity prediction, and also provide the structural basis for in depth lead optimization in small molecule drug design. Ligand-based modeling approaches primarily extract valuable information from the structural features of small molecules to assess their potential as drug candidates against specific targets. However, it is challenging to provide reasonable predictions of binding poses for different molecules, due to the complexity and diversity of the chemical space of small molecules. Similarity-based molecular alignment techniques can effectively narrow the search range, as structurally similar molecules are likely to have similar binding modes, with higher similarity usually correlating to higher success rates. However, molecular similarity isnt consistently high because molecules often require changes to achieve specific purposes, leading to reduced alignment precision. To address this issue, we propose a new alignment method--Z-align. This method uses topological structural information as a criterion for evaluating similarity, reducing the reliance on molecular fingerprint similarity. Our method has achieved significantly higher success rates than other methods at moderate levels of similarity. Additionally, our approach can comprehensively and flexibly optimize bond lengths and angles of molecules, maintaining high accuracy even when dealing with larger molecules. Consequently, our proposed solution helps in achieving more accurate binding poses in protein-ligand docking problems, facilitating the development of small molecule drugs.

bioinformatics↗

bioRxiv2023

OsUVR8b, rather than OsUVR8a, plays a predominant role in rice UVR8-mediated UV-B response.

UV RESISTANCE LOCUS 8 (UVR8) has been identified in Arabidopsis thaliana as the receptor for UV-B radiation mediating photomorphogenic responses and acclimation to UV-B radiation. However, UVR8-mediated UV-B signaling pathways in rice, that has two proteins (UVR8a and UVR8b) with homology to AtUVR8, remain largely unknown. In this study, UVR8a and UVR8b were found to be expressed mainly in rice leaves and leaf sheaths, while the level of UVR8b was higher than that of UVR8a. In agreement with prior studies on AtUVR8, uvr8b and uvr8a uvr8b rice mutants exposed to UV-B showed reduced UVB-induced growth inhibition and upregulation of CHS and HY5 transcripts along with acclimation to UV-B, overexpressing UVR8a or UVR8b enhanced UV-B-induced growth inhibition and acclimation to UV-B, compared to wild-type plants. UV-B was able to enhance the interaction between CONSTITUTIVE PHOTOMORPHOGENESIS1 (COP1) with UVR8a/UVR8b, whereas the interaction intensity of REPRESSOR OF UV-B PHOTOMORPHOGENESIS2 (RUP2) with UVR8a was significantly higher than that with UVR8b. In addition, UVR8a and UVR8b were also found in the nucleus and cytoplasm, but OsUVR8 proteins were localized in nucleus in the absence of UV-B. The level of OsUVR8 monomer showed an invisible change in the leaves of rice seedlings transferred from white light to white light supplemented with UV-B, even UV-B can weaken the interactions of UVR8a or/and UVR8b. Therefore, both UVR8a and UVR8b, that have different location and response modes with Arabidopsis UVR8, function in the response of rice to UV-B radiation, whereas UVR8b plays a predominant role in this process.

plant biology↗

bioRxiv2023

Perception of Motion Salience Shapes the Emergence of Collective Motions

As one of the most common and spectacular manifestations of coordinated behavior, collective motion is the spontaneous emergence of the ordered movement in a system consisting of many self-propelled agents, e.g., flocks of birds, schools of fish, herds of animals, and human crowds. Despite extensive studies on collective motions, a systems-level understanding of different motion patterns of collective behaviors is still lacking. This further hinders the adoption of bio-inspired mechanisms for applications of swarm robotics. Here, by leveraging three large bird-flocking datasets, we systematically investigate the emergence of different patterns of collective motions: mobbing, circling, and transit. We find that flocks with higher maneuverable motions (i.e., mobbing and circling) prefer to evolve a more nested structure of leader-follower (LF) relations and a clear hierarchy to mitigate the damage of individual freedom to group cohesion. In contrast, flocks with smooth motion (i.e., transit) do not display this tactful strategy to organize the group. To explain this empirical finding, we propose a measure based on the perception of motion salience (MS) to quantify the trade-off between individual freedom and group cohesion. Moreover, we perform the correlation analysis between LF and MS, finding that individuals with higher MS tend to lead the group with higher maneuverable motions. Those findings prompt us to develop a swarm model with adaptive MS-based (AMS) interactions and confirm that AMS interactions are responsible for the emergence of nested and hierarchical LF relations in the flocks with highly maneuverable motions. Finally, we implement AMS interactions in swarm robotics that consists of [~]102 miniature mobile robots. The swarm experiments of collective following and collective evacuation demonstrate that AMS interactions not only empower the swarm to promptly respond to the transient perturbation but also strengthen the self-organization of collective motions in terms of temporal cognition.

animal behavior and cognition↗

bioRxiv2023

A genome-wide association study of neonatal metabolites

The hereditary component significantly influences the concentration of metabolites in adults. Nevertheless, the precise influence of genetic factors on neonatal metabolites remains uncertain. To bridge this gap, we employed genotype imputation techniques on large-scale low-pass genome data obtained from non-invasive prenatal testing. Subsequently, we conducted association studies on a total of 75 metabolic components in neonates. The study identified a total 17 previous reported associations and 13 novel discovered associations between single nucleotide polymorphisms and metabolic components. These associations were initially found in the discovery cohort (8,744 participants) and subsequently confirmed in a replication cohort (19,041 participants). The average heritability of metabolic components was calculated to be 76.2%, with a range of 69-78.8%. The aforementioned findings offer valuable insights pertaining to the genetic architecture of neonatal metabolism. In BriefLarge-scale genomes of maternal non-invasive prenatal testing provide insights into the genetic contribution to neonatal metabolism. HighlightsGWAS of 27,785 low-pass genomes revealed 13 novel associations of neonatal metabolic components. Estimated an average of 76.2% heritability of neonatal metabolic components and showed the individual concentration can be accurately predicted from polygenic risk scores. A total of 17 established relationships have been observed, providing evidence that maternal genomes can be utilized in neonatal metabolite GWAS.

genetics↗