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Biomedical subjects

Hao Zhu

Publications and source records attributed to Hao Zhu.

At least 19 recordsLinked to original sources
PubMed2026

ToxiVerse: chemical bioprofiling, toxicity data sharing and customizable predictive modeling.

MOTIVATION: Chemical toxicity assessment is critical for drug development and environmental safety. Computational models have emerged as a promising alternative to animal testing and now play a significant role in efficiently evaluating new chemicals. To address the urgent need for user-friendly machine learning tools in computational toxicology, we developed ToxiVerse, a public web-based platform. RESULTS: ToxiVerse provides automatic chemical bioprofiling, curated toxicity datasets, and a predictive modeling interface designed for researchers who lack programming expertise. The platform comprises three integrated modules: (i) Bioprofiler, which provides chemical descriptors by combining chemical-bioactivity data from PubChem assays with a machine learning-based data gap-filling procedure; (ii) Database, which hosts ∼50 000 curated chemicals covering diverse toxicity endpoints; and (iii) Cheminformatics, which enables dataset upload, chemical curation, and automatic generation of quantitative structure-activity relationship models for toxicity prediction. AVAILABILITY: The tool is accessible at www.toxiverse.com, and source code is available at https://github.com/zhu-research-group/toxiverse.

Quantitative Structure-Activity Relationship↗
PubMed2026

Integrating structure and experimental data annotations with computational modeling framework for predicting micro-nanoplastics toxicities.

The wide use of plastic materials leads to increased emissions of micro-nanoplastics (MNPs) into the environment, raising significant concerns about their impact on human health. Traditional experimental approaches for assessing MNPs toxicity are costly, time-consuming, and there are no experimental protocols that are universally acceptable. Computational modeling using machine learning (ML) approaches provides an efficient alternative to MNP toxicity assessment. However, most modeling studies of MNPs are limited due to the lack of high-quality data and there are few previous modeling studies considering complex structures of MNPs for model training. To address this challenge, we constructed three MNP datasets with popular toxicity endpoints from various resources and used nanostructure annotation techniques to create virtual MNPs (vMNPs) for all MNP structures. The MNP structures were digitalized from annotated vMNPs, and geometrical descriptors were calculated using the Delaunay Tessellation approach. Moreover, important experimental information, such as concentrations and cell lines, were transformed into extra training variables. Partial least squares regression (PLSR) models were built using both experimental and geometrical descriptors and validated through a leave-one-out cross validation procedure. The resulting models showed reasonable performance in predicting toxicity potentials of MNPs for the three endpoints in the present datasets. Moreover, an additional library of vMNPs with their predicted properties and bioactivities was constructed, directing further research of new MNPs. This study provides three novel ML models for MNPs by integrating geometrical and experimental descriptors, which have the potential to assess new MNPs for their toxicity. The modeling strategy developed in this study can be easily expanded to model other MNP toxicity endpoints and create promising new models for MNP toxicity assessments.

Data annotation↗
PubMed2026

Preoperative Carbohydrate Supplementation Reduces Thirst and Improves Patient Satisfaction Before Elective Cesarean Delivery: A Randomized Controlled Trial.

BACKGROUND & AIMS: Prolonged preoperative fasting is a major source of patient discomfort, particularly thirst, before elective cesarean delivery. This study aimed to evaluate whether preoperative carbohydrate (CHO) supplementation could alleviate these discomforts and improve patient satisfaction without compromising safety. METHODS: In this single-center randomized controlled trial, 262 women scheduled for elective cesarean delivery under neuraxial anesthesia were randomly allocated to either the CHO group (Group CHO, n = 131), which received 355 mL of an oral carbohydrate solution on the night before and the morning of surgery, or the control group (Group C, n = 131), which followed conventional fasting. The primary outcome was the thirst Numeric Rating Scale (NRS, 0-10) score measured immediately before surgery. Secondary outcomes included hunger NRS, satisfaction NRS, and maternal and neonatal safety parameters. RESULTS: Baseline characteristics were comparable between groups. Despite a longer preoperative fasting duration in Group CHO (9.25 &#xb1; 1.05 vs. 8.74 &#xb1; 0.97 h, P < 0.001), this group exhibited significantly lower thirst NRS scores (1.69 &#xb1; 0.90 vs. 4.02 &#xb1; 0.99, P < 0.001) and hunger NRS scores (1.25 &#xb1; 0.94 vs. 2.09 &#xb1; 0.82, P < 0.001), as well as higher satisfaction NRS scores (7.70 &#xb1; 0.69 vs. 5.69 &#xb1; 1.17, P < 0.001). Subgroup analyses confirmed consistent benefits of CHO supplementation across most patient characteristics. Further analyses suggested that the maximum effect on thirst reduction occurred at approximately 9.2 h of solid fasting; however, the interaction between fasting duration and treatment group was not statistically significant (P = 0.187). CONCLUSION: Preoperative carbohydrate supplementation effectively reduces thirst and hunger and improves patient satisfaction before elective cesarean delivery without increasing maternal or neonatal risk. The beneficial effects were consistent across varying fasting durations, with exploratory spline analyses suggested a potential peak effect around 9.2 h, though this was not statistically significant and should be interpreted cautiously. These findings support the incorporation of carbohydrate loading into enhanced recovery protocols. TRIAL REGISTRATION: China Clinical Trial Registry ChiCTR2500097956.

Humans↗
PubMed2026

Advancing cancer detection and treatment using longitudinal routine clinical data.

Cancer management remains fragmented across its continuum, from late-stage diagnosis and salvage therapies to non-personalized surveillance. Here, we present Oncoformer, a unified multimodal transformer model trained on the China Oncology Multimodal Prediction and Surveillance Study (COMPASS) cohort (3.67 million individuals, 17.7 million clinical visits) and validated on independent external cohorts, including the UK Biobank. Oncoformer integrates longitudinal electronic health records with chest X-ray imaging to address multiple clinical tasks: pan-cancer diagnosis (area under the receiver operating characteristic curve [AUROC] = 0.956), future cancer prediction up to 1 year before diagnosis (AUROC = 0.869), tumor stage inference (mean AUROC > 0.90), patient-specific treatment-response forecasting, and recurrence-free survival stratification across ten cancer types (all p < 0.01). Staging predictions were independently validated against postoperative pathological endpoints and shown to converge on core cancer genomic pathways. By translating routine clinical data into a dynamic view of cancer evolution, Oncoformer provides a framework for risk-informed cancer prediction and treatment stratification using routine clinical data.

Humans↗
PubMed2025

Hepatocyte-specific CLSTN3B ablation impairs lipid droplet maturation and alleviates diet-induced steatohepatitis in mice.

Excessive lipid accumulation in hepatocytes, a hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD), can lead to progressive liver damage. Understanding the molecular mechanisms governing lipid storage in hepatocytes is essential for identifying therapeutic targets to halt MASLD progression. Here, we show a pivotal role for the protein calsyntenin 3&#x3b2; (CLSTN3B) in promoting lipid droplet (LD) maturation and lipid storage in hepatocytes. Previously characterized as an endoplasmic reticulum (ER)-LD contact protein that facilitates LD maturation in adipocytes, we now show that CLSTN3B expression is strongly induced in mouse hepatocytes by peroxisome proliferator-activated receptor gamma (PPAR&#x3b3;) in response to dietary caloric excess. Hepatocyte-specific deletion of CLSTN3B in mice significantly increases energy expenditure, reduces metabolic efficiency, and protects against diet-induced hepatic steatosis and fibrosis. Mechanistically, CLSTN3B deficiency causes reduced LD phospholipid coverage and increased lipase recruitment. This results in enhanced fatty acid oxidation driven by a futile cycle of lipolysis and re-esterification. Notably, human clinical data reveal a positive correlation between hepatic CLSTN3B expression and MASLD severity and progression, emphasizing its relevance to human disease. Together, our findings establish CLSTN3B as a key regulator of hepatocyte lipid storage and metabolic efficiency and highlight its potential as a therapeutic target in MASLD.

Journal Article↗
PubMed2025

Deletion of hepatic FXR leads to more severe MASH development in female mice.

BACKGROUND: The farnesoid X receptor (FXR) has been identified as a therapeutic target for metabolic dysfunction-associated steatohepatitis (MASH). FXR is the major homeostatic regulator of bile acids (BAs) with dysregulation of BAs and/or FXR implicated in the pathogenesis of MASH. Synthetic whole-body FXR agonists have been developed to treat MASH. Although beneficial for MASH treatment, these whole-body modulators contribute to unfavorable side effects such as pruritus and an elevation in low-density liporoteins, thereby highlighting the importance of tissue and cell-restricted modulation of FXR in the development of novel therapeutics for MASH to negate potential harmful off-target effects. METHODS: The objective of this study was to determine the tissue-specific role of FXR in MASH development using male and female wild-type (WT), liver FXR KO (FXRhep-/-), intestinal FXR KO (FXRint-/-), and whole body FXR KO (FXR KO) mice fed either a low-fat control diet (CTL) or a MASH "Fast Food" (FF) diet. RESULTS: The results showed, in females, hepatic, but not intestinal, deficiency of FXR was associated with severe liver injury, through increased ALT, ALP, and genes indicative of inflammation and fibrosis when comparing FXRhep-/- versus FXRint-/-. Regardless of sex, hepatic FXR deficiency triggered the activation of neuroinflammation and neurodegenerative canonical pathways. CONCLUSIONS: These data suggest that hepatic FXR is more critical in suppressing liver injury during MASH development in female mice. However, this same trend was not clear in the male cohorts, highlighting sex differences and potential roles for sexual dimorphism in MASH development.

Animals↗
PubMed2024

The phosphatidylserine targeting antibody bavituximab plus pembrolizumab in unresectable hepatocellular carcinoma: a phase 2 trial.

Immune checkpoint inhibitors targeting PD-1/L1 have modest efficacy in hepatocellular carcinoma as single agents. Targeting membranous phosphatidylserine may induce pro-inflammatory and -immune stimulating effects that enhance immunotherapy activity. This hypothesis was tested in a single-arm phase 2 trial evaluating frontline bavituximab, a phosphatidylserine targeting antibody, plus pembrolizumab (anti-PD-1) in patients with unresectable hepatocellular carcinoma (NCT03519997). The primary endpoint was investigator-assessed objective response rate among evaluable patients, and secondary end points included progression-free survival, incidence of adverse events, overall survival, and duration of response. Among 28 evaluable patients, the confirmed response rate was 32.1%, which met the pre-specified endpoint, and the median progression-free survival was 6.3 months (95% CI, 1.3-11.3 months). Treatment related-adverse events of any grade occurred in 45.7% of patients, with grade 3 or greater adverse events in 14.3% of patients. Adverse events of any cause were observed in 33 patients (94.3%), with grade 3 or greater adverse events in 11 patients (31.4%). Prespecified exploratory analyses of baseline tumor specimens showed that a depletion of B cells, and the presence of fibrotic tissue and expression of immune checkpoints in stroma was associated with tumor response. These results suggest that targeting phosphatidylserine may lead to synergistic effects with PD-1 blockade without increasing toxicity rates, and future studies on this therapeutic strategy may be guided by biomarkers characterizing the pre-treatment tumor microenvironment.

Humans↗
PubMed2006

BMP signaling restricts hemato-vascular development from lateral mesoderm during somitogenesis.

The bone morphogenetic protein (BMP) signaling pathway is essential during gastrulation for the generation of ventral mesoderm, which makes it a challenge to define functions for this pathway at later stages of development. We have established an approach to disrupt BMP signaling specifically in lateral mesoderm during somitogenesis, by targeting a dominant-negative BMP receptor to Lmo2+ cells in developing zebrafish embryos. This results in expansion of hematopoietic and endothelial cells, while restricting the expression domain of the pronephric marker pax2.1. Expression of a constitutively active receptor and transplantation experiments were used to confirm that BMP signaling in lateral mesoderm restricts subsequent hemato-vascular development. The results show that the BMP signaling pathway continues to function after cells are committed to a lateral mesoderm fate, and influences subsequent lineage decisions by restricting hemato-vascular fate in favor of pronephric development.

Animals↗
PubMed2006

Transient block of receptor may be a mechanism controlling unidirectional propagation of signaling.

In tissue development, juxtacrine signaling often propagates across cells, carrying and delivering temporal and spatial information for cells to make correct patterning. Observed complex and accurate tissue patterning indicates that signaling propagation via ligand-receptor interactions is precisely controlled. It is important and interesting to reveal the possible control mechanisms. The directionality of signaling in cells, which is a common issue for all intercellular signaling pathways, is a critical aspect. To understand the propagation of Notch signaling in presomitic mesoderm cells in the mouse, a novel method is used to build a multicellular model to simulate Notch signaling. Simulation reveals that the transient block of Notch by Notch induced Lfng and the delayed removal of the block by another Notch induced protein Hes7 may explain the observed unidirectional propagation of Notch signaling in these cells. Both mutation in and overexpression of lfng cause the same signaling profile in the tissue, due to the inappropriate timing of Notch signaling block by Lfng. The reverse Notch/Delta signaling quickly develops into reciprocating signaling among cells, causing irregular expression of cyclic genes. Irregular Notch signaling in cells would change their response to the positional information provided by the Fgf8 gradient, resulting in disordered and irregular somite segmentation. As Notch signaling is highly conserved, we hypothesize that the mechanism of controlling unidirectional propagation of signaling in cells by transient receptor block may exist in other tissues and in other vertebrates. Our simulation results also suggest that segmentation clock and unidirectional propagation may be inherently coupled in Notch signaling.

Animals↗
PubMed2006

[Studies on characteristics of absorption and separation of traditional Chinese medicine compound prescription by macroporous resin].

OBJECTIVE: Study the characteristics of absorption and separation of traditional Chinese medicine compound prescription using macroporous resin. METHOD: Study the techniquecs and characteristics of absorption and separation of a sample by macroporous resin, which is composed of coptis root, rhubarb and common anemarrhena rhizome, containing alkaloid, anthraquinone and saponin. RESULT: It is proved by qualitative and quantitative researches studies that after absorbed and separated by optimized technics process, most prime effective components or section fractions in traditional Chinese medicine compound prescription can be reserved maintained. CONCLUSION: If the techniquecs of separation is properly designed, the same kind of macropore resin can absorbd and separate various effective components or section in traditional Chinese medicine compound prescription which have with different chemical structures efficiently.

Alkaloids↗
PubMed2005

[Value of multislice spiral CT in the diagnosis of anomalous origin of the coronary arteries].

OBJECTIVE: To investigate the value of multislice spiral CT (MSCT) coronary angiography in the diagnosis of anomalous origin of coronary arteries. METHODS: 5000 patients diagnosed or suspected as with diseases of coronary artery underwent MSCT coronary angiography (retrospectively ECG-gating; 0.5 s rotation; one-sector or two-sector reconstruction algorithm; intravenous contrast agent) 2001-2005. RESULTS: Anomalous origin of coronary artery was incidentally found with multislice spiral CT in 39 patients (0.78%), including anomalously high origin of the right coronary artery (n = 20), anomalous origin of the right coronary artery from left coronary sinus (n = 11), aberrant circumflex artery arises from the right coronary sinus or right coronary (n = 3), anomalous origin of the right coronary artery from the posterior coronary sinus (n = 1), anomalous origin of the left coronary artery from the posterior coronary sinus (n = 1), single coronary artery (n = 2), separate origin of circumflex and left anterior descending arteries from left coronary sinus (n = 1). These signs were better shown by MSCT coronary angiography. CONCLUSION: MSCT coronary angiography is a useful adjunctive technique to invasive coronary angiography in the diagnosis of anomalous origin of coronary arteries.

Adult↗
PubMed2005

Analysis of thrombocyte development in CD41-GFP transgenic zebrafish.

Thrombocytes are the nucleated equivalent of platelets in nonmammalian vertebrates such as the zebrafish, Danio rerio. We have cloned zebrafish CD41 cDNA (alpha(IIb), glycoprotein IIb [GPIIb]) and its promoter and have generated transgenic zebrafish lines with green fluorescent protein (GFP)-tagged thrombocytes. CD41 mRNA transcripts appeared 42 hours after fertilization (hpf) by reverse-transcriptase-polymerase chain reaction (RT-PCR) and at 48 hpf in circulating hematopoietic cells. Flow sorting of thrombocytes from the mesonephros of adult CD41-GFP zebrafish showed a GFP(high) subset, which had the morphologic appearance of mature thrombocytes, and a GFP(low) subset with an immature appearance, suggesting that they may be thrombocyte precursors. Confocal laser microscopy of embryos 40 and 48 hpf also showed a nonmobile population of GFP+ cells in a discrete area between the dorsal aorta and caudal vein. Production of circulating thrombocytes was inhibited by the injection of antisense morpholinos for the stem-cell transcription factor scl and c-mpl, the receptor for thrombopoietin. The nonmobile pool of GFP+ cells was abolished by scl knockdown and partially inhibited by c-mpl knockdown. These studies have shown that it is possible to identify thrombocytes, thrombocyte precursors, and, possibly, early hematopoietic stem cells in zebrafish embryos and track their proliferation and maturation.

Animals↗
PubMed2005

Regulation of the lmo2 promoter during hematopoietic and vascular development in zebrafish.

The Lmo2 transcription factor, a T-cell oncoprotein, is required for both hematopoiesis and angiogenesis. To investigate the fate of lmo2-expressing cells and the transcriptional regulation of lmo2 in vivo, we generated stable transgenic zebrafish that express green fluorescent protein (EGFP) or DsRed under the control of an lmo2 promoter. A 2.5-kb fragment contains the cis-regulatory elements required to recapitulate endogenous lmo2 expression in embryonic hematopoietic and vascular tissues. We further characterized embryonic Lmo2+ cells through transplantation into vlad tepes (vlt), an erythropoietic mutant. These Lmo2+ primitive wave donor cells differentiated into circulating hematopoietic cells and extended the life span of vlt recipients, but did not demonstrate long-term repopulation of the erythroid lineage. Promoter analysis identified a 174-bp proximal promoter that was sufficient to recapitulate lmo2 expression. This element contains critical ETS-binding sites conserved between zebrafish and pufferfish. Furthermore, we show that ets1 is coexpressed with lmo2, and overexpression experiments indicate that ets1 can activate the lmo2 promoter through this element. Our studies elucidate the transcriptional regulation of this key transcription factor, and provide a transgenic system for the functional analysis of blood and blood vessels in zebrafish.

Animals↗
PubMed2005

Mutation in the transcriptional coactivator EYA4 causes dilated cardiomyopathy and sensorineural hearing loss.

We identified a human mutation that causes dilated cardiomyopathy and heart failure preceded by sensorineural hearing loss (SNHL). Unlike previously described mutations causing dilated cardiomyopathy that affect structural proteins, this mutation deletes 4,846 bp of the human transcriptional coactivator gene EYA4. To elucidate the roles of eya4 in heart function, we studied zebrafish embryos injected with antisense morpholino oligonucleotides. Attenuated eya4 transcript levels produced morphologic and hemodynamic features of heart failure. To determine why previously described mutated EYA4 alleles cause SNHL without heart disease, we examined biochemical interactions of mutant Eya4 peptides. Eya4 peptides associated with SNHL, but not the shortened 193-amino acid peptide associated with dilated cardiomyopathy and SNHL, bound wild-type Eya4 and associated with Six proteins. These data define unrecognized and crucial roles for Eya4-Six-mediated transcriptional regulation in normal heart function.

Animals↗
PubMed2005

Cellular automata with object-oriented features for parallel molecular network modeling.

Cellular automata are an important modeling paradigm for studying the dynamics of large, parallel systems composed of multiple, interacting components. However, to model biological systems, cellular automata need to be extended beyond the large-scale parallelism and intensive communication in order to capture two fundamental properties characteristic of complex biological systems: hierarchy and heterogeneity. This paper proposes extensions to a cellular automata language, Cellang, to meet this purpose. The extended language, with object-oriented features, can be used to describe the structure and activity of parallel molecular networks within cells. Capabilities of this new programming language include object structure to define molecular programs within a cell, floating-point data type and mathematical functions to perform quantitative computation, message passing capability to describe molecular interactions, as well as new operators, statements, and built-in functions. We discuss relevant programming issues of these features, including the object-oriented description of molecular interactions with molecule encapsulation, message passing, and the description of heterogeneity and anisotropy at the cell and molecule levels. By enabling the integration of modeling at the molecular level with system behavior at cell, tissue, organ, or even organism levels, the program will help improve our understanding of how complex and dynamic biological activities are generated and controlled by parallel functioning of molecular networks. Index Terms-Cellular automata, modeling, molecular network, object-oriented.

Algorithms↗
PubMed2005

Recent methodologies for the estimation of n-octanol/water partition coefficients and their use in the prediction of membrane transport properties of drugs.

The lipophilicity of drug molecules (represented as the logarithm of the n-octanol/water partition coefficient) often strongly correlates with their pharmacological and toxic activities. It is therefore, not surprising that there is considerable interest in developing mathematical models capable to accurately predict their value for new drug candidates. In this review, current major approaches for estimating partition coefficients are described and some of their advantages and disadvantages are discussed. Recent uses of these partition coefficient algorithms in the development of membrane transport models are also discussed.

Algorithms↗
PubMed2004

Facilitating arrhythmia simulation: the method of quantitative cellular automata modeling and parallel running.

BACKGROUND: Many arrhythmias are triggered by abnormal electrical activity at the ionic channel and cell level, and then evolve spatio-temporally within the heart. To understand arrhythmias better and to diagnose them more precisely by their ECG waveforms, a whole-heart model is required to explore the association between the massively parallel activities at the channel/cell level and the integrative electrophysiological phenomena at organ level. METHODS: We have developed a method to build large-scale electrophysiological models by using extended cellular automata, and to run such models on a cluster of shared memory machines. We describe here the method, including the extension of a language-based cellular automaton to implement quantitative computing, the building of a whole-heart model with Visible Human Project data, the parallelization of the model on a cluster of shared memory computers with OpenMP and MPI hybrid programming, and a simulation algorithm that links cellular activity with the ECG. RESULTS: We demonstrate that electrical activities at channel, cell, and organ levels can be traced and captured conveniently in our extended cellular automaton system. Examples of some ECG waveforms simulated with a 2-D slice are given to support the ECG simulation algorithm. A performance evaluation of the 3-D model on a four-node cluster is also given. CONCLUSIONS: Quantitative multicellular modeling with extended cellular automata is a highly efficient and widely applicable method to weave experimental data at different levels into computational models. This process can be used to investigate complex and collective biological activities that can be described neither by their governing differentiation equations nor by discrete parallel computation. Transparent cluster computing is a convenient and effective method to make time-consuming simulation feasible. Arrhythmias, as a typical case, can be effectively simulated with the methods described.

Anisotropy↗