Biomedical subjects

Pan Li

Publications and source records attributed to Pan Li.

6 recordsLinked to original sources

PubMed2026

Social disconnection integrates genetic and proteomic risks in suicidal ideation and depression.

Suicidal ideation (SI) and major depressive disorder (MDD) are complex psychiatric conditions arising from the interplay of genetic liability, molecular processes, and psychosocial factors. While these dimensions have been extensively studied in isolation, their joint contribution to SI and MDD remains unclear. This study integrates multi-modal data to elucidate these synergistic effects and develop robust models for individual-level risk stratification. Leveraging longitudinal multi-modal data from 13,085 UK Biobank participants, we integrated genomic, proteomic, and social connection profiles. We developed interpretable risk scores using a rigorous supervised machine learning framework encompassing diverse linear and ensemble classifiers. Permutation importance was employed to quantify feature contributions and derive transparent, weighted risk metrics across diverse classifiers. These scores were validated through association, interaction, and mediation analyses. Social connection-based risk scores significantly differentiated cases and controls across the two suicidal ideation phenotypes at 2017 and 2023 with cross-sectional analyses (AUCs: 0.70 - 0.73), outperforming proteomic-only models. Functional dimensions of social connection emerged as the most informative predictors. Longitudinal analyses revealed that social risk scores at baseline predicted suicidal ideation onset six years later, independent of demographic covariates. Interaction analyses demonstrated that polygenic risk for suicide attempt significantly interacted with both social and proteomic risk features in relation to depression. Structural equation models further confirmed that social disconnection acts as a key mediator linking genetic predisposition to MDD and SI. Social disconnection is a critical risk factor mediating the impact of genetic vulnerability on psychiatric outcomes. Integrating social, genetic, and molecular data supports a multilevel framework for risk stratification and highlights the potential of socially oriented interventions to mitigate biological risk.

Humans↗

PubMed2026

Complex evolutionary history of Rosales mediated by extensive incomplete lineage sorting and hybridization.

The angiosperm order Rosales still represents a major challenge for phylogenetic reconstruction. Although its circumscription is now well-defined, phylogenetic relationships among families are still uncertain. Here, we used nuclear, plastid, and mitochondrial genomic data from 33 species representing all nine families to further clarify interfamilial relationships and the group's evolutionary history. We detected significant phylogenetic conflict among the three datasets. Further analyses at the nuclear level identified incomplete lineage sorting (ILS) as the main cause of unstable phylogenetic positions among families. The discordant placements of Rhamnaceae and Elaeagnaceae based on plastid and mitochondrial data are caused by ancient hybridization events, potentially involving differences in organellar inheritance. Our molecular dating confirms earlier suggestions that the ancient rapid diversification of the three Rosaceae subfamilies could be the main reason for the difficulties in resolving their phylogenetic relationships. Our findings provide new insights into the interfamilial relationships of Rosales and demonstrate that the evolutionary history of this order was shaped by ancient and rapid radiation as well as extensive ILS and reticulate evolution. They also suggest that previous attempts to clarify interfamilial relationships in this order were hampered by combining nuclear and organellar sequence data, leading to inconsistent topologies observed across earlier studies.

Phylogeny↗

PubMed2025

A base editor facilitates simultaneous purine and pyrimidine substitutions for ex vivo and in vivo mutagenesis screens.

Genetic mutations are closely linked to human diseases, yet the relationship between many mutations and their corresponding phenotypes remains poorly understood. Furthermore, tools to study the connection between nucleotide variations and phenotypes are limited. To address this issue, we developed ACGBEmax by fusing the dual-functional deaminase, engineered N-methylpurine DNA glycosylase, and evolved SOS response associated peptidase domain with nCas9(D10A). ACGBEmax enables the precise conversion of A, C, and G to other bases in mammalian cells, thereby generating an extensive range of base mutations types. We used ACGBEmax to generate HPRT variants, identifying mutations conferring resistance to 6-thioguanine. Additionally, we performed in situ mutagenesis of Ctnnb1 in mouse liver, identifying both known and potential oncogenic mutations. Our results prove that ACGBEmax is a powerful tool for generating a wide spectrum of mutation types at specific gene loci, highlighting its significant potential for applications in functional screening and the directed evolution of protein variants.

Animals↗

PubMed2025

Unraveling evolutionary pathways: allopolyploidization and introgression in polyploid Prunus (Rosaceae).

Allopolyploidization, resulting from hybridization and subsequent whole-genome duplication (WGD), is a fundamental mechanism driving evolutionary diversification across various lineages within the Tree of Life. The polyploid Prunus (Rosaceae), significant for its economic and agricultural value, provides an ideal model for investigating the evolutionary dynamics associated with allopolyploidy. In this study, we utilized deep genome skimming (DGS) data to demonstrate a comprehensive analytical framework for elucidating the underlying allopolyploidy that includes a newly adapted tool (DGS-Tree2GD) tailored explicitly for accurately detecting WGD events. Additionally, we introduced two methods to evaluate the contribution of incomplete lineage sorting (ILS) to lineage diversification. Phylogenomic discordance analyses revealed that allopolyploidization, rather than ILS, played a dominant role in the origin and dynamics of polyploid Prunus. Moreover, we inferred that the uplift of the Himalayas from the Middle to Late Miocene was a key driver in the rapid diversification of the Maddenia clade, an endemic group in East Asia. This geological event facilitated extensive hybridization and allopolyploidization, particularly the introgression between the Himalayas-Hengduan and Central-Eastern China clades. This case study demonstrates the robustness and efficacy of our analytical approach in precisely identifying WGD events and elucidating the evolutionary mechanisms underlying allopolyploidization in polyploid Prunus.

Polyploidy↗

PubMed2025

Evolutionary legacy of the "living fossil" genus Parrotia (Hamamelidaceae): genomic insights into species divergence and polygenic adaptation.

Despite their long evolutionary history, the genomic basis of adaptation and speciation in "living fossil" plants remain largely unexplored. Parrotia, a Tertiary relict tree genus with two extant species, P. subaequalis and P. persica, exhibits a disjunct distribution between East Asia and West Asia. Here, we present the first chromosome-level assemblies for both species, confirmed their sibling relationship, and dated the speciation event to the early Miocene. The recent proliferation of long-terminal repeat retrotransposons has driven the genome expansion in P. subaequalis. We detected widespread heterogeneous genomic differentiation between species. Extensive signals of divergent selection, local adaptation, and elevated Ka/Ks ratios in Parrotia indicate that this genus has undergone adaptive evolution in distinct refugia, challenging the notion of it as an "evolutionary dead end". Our findings provide new insights into the genomic evolution, environmental adaptation, and speciation of this "living fossil" tree genus.

Genome, Plant↗

PubMed2024

Transcriptomic analysis reveals key molecular signatures across recovery phases of hemorrhagic fever with renal syndrome.

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS), a life-threatening zoonosis caused by hantavirus, poses significant mortality risks and lacks specific treatments. This study aimed to delineate the transcriptomic alterations during the recovery phases of HFRS. METHODS: RNA sequencing was employed to analyze the transcriptomic alterations in peripheral blood mononuclear cells from HFRS patients across the oliguric phase (OP), diuretic phase (DP), and convalescent phase (CP). Twelve differentially expressed genes (DEGs) were validated using quantitative real-time PCR in larger sample sets. RESULTS: Our analysis revealed pronounced transcriptomic differences between DP and OP, with 38 DEGs showing consistent expression changes across all three phases. Notably, immune checkpoint genes like CD83 and NR4A1 demonstrated a monotonic increase, in contrast to a monotonic decrease observed in antiviral and immunomodulatory genes, including IFI27 and RNASE2. Furthermore, this research elucidates a sustained attenuation of immune responses across three phases, alongside an upregulation of pathways related to tissue repair and regeneration. CONCLUSION: Our research reveals the transcriptomic shifts during the recovery phases of HFRS, illuminating key genes and pathways that may serve as biomarkers for disease progression and recovery.

Hemorrhagic Fever with Renal Syndrome↗