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Bin Hu

Publications and source records attributed to Bin Hu.

6 recordsLinked to original sources
PubMed2026

Natural variation in BRN1 enhances nitrogen sensitivity to improve rice nitrogen use efficiency.

Green Revolution rice varieties deliver high yields but require excessive nitrogen (N) fertilizer and show diminished N responsiveness, severely reducing nitrogen-use efficiency (NUE). To dissect the molecular basis of low N sensitivity in modern cultivars, we conducted a genome-wide association study (GWAS) for biomass response to N (BRN), a trait tightly linked to N sensitivity, using a diverse rice germplasm panel. We identified BRN1 as a key regulator of N-dependent biomass accumulation that regulates NLP3, a master transcription factor governing nitrate signaling. Under elevated N supply, the strigolactone signaling repressor D53 accumulates substantially and interacts with BRN1 to repress NLP3 transcription, thereby reducing rice N response. Notably, the high-response BRN1H allele encodes a more stable protein that alleviates D53-mediated suppression. Introgression of this allele into modern cultivars significantly enhanced N sensitivity and grain yield under both low and high N conditions. Our findings establish a D53-BRN1-NLP3 regulatory module controlling rice NUE, providing a target for rice breeding to sustain high productivity with improved resource sustainability.

Oryza↗
PubMed2026

Metagenomic insights into microbial drivers of organic micropollutant removal in wastewater-impacted riverbank filtration.

Organic micropollutants (OMPs) in wastewater treatment plant (WWTP) effluent pose persistent risks to aquatic ecosystems and drinking water sources. Riverbank filtration (RBF) is a nature-based treatment process, yet the compartment-specific roles of riverbed sediment and downstream soil in OMP attenuation remain poorly resolved under wastewater-impacted conditions. Here, we combined targeted chemical analysis, OMP property compilation, shotgun metagenomics, EnviPath-based biotransformation annotation, and exploratory network analysis to investigate OMP attenuation in a laboratory-scale RBF system treating real WWTP effluent for 10 months. Nineteen OMPs were monitored along a sequential sediment-soil filtration pathway. Sediment preferentially attenuated hydrophilic or charged compounds, including lidocaine, amantadine, and sotalol, whereas soil contributed more strongly to the attenuation of naproxen, atenolol, and losartan. Metagenomic profiling revealed distinct microbial communities and functional gene repertoires between sediment and soil after long-term operation. Sediment harbored higher relative abundances of genes associated with oxidative xenobiotic transformation, including cytochrome P450-related enzymes, demethylases, dehydrogenases, oxidases, and aromatic compound degradation pathways. An exploratory Spearman network further identified associations among microbial genera, EnviPath-annotated candidate biotransformation genes, and OMP removal rates, including 17 KO-OMP links supported by both correlation and pathway annotation. These findings indicate that sediment and soil develop complementary microbial functional potentials that may support compound-specific OMP attenuation. This study provides a mechanistic basis for optimizing sediment-soil configurations in wastewater-impacted RBF systems and for improving nature-based barriers against diverse OMP mixtures.

Wastewater↗
PubMed2026

Large-Scale Plasma Proteomics Identifies Early Molecular Deviations and Improves Risk Prediction for Heart Failure Among Individuals With Obesity.

AIMS: Heart failure (HF) is a major global public health challenge, with obesity being one of its key risk factors. Although several HF risk prediction models have been developed in the general population, few are specifically tailored to individuals with obesity. This underscores the urgent need for precise biomarkers to improve individual risk stratification and enable personalized prevention strategies. We aimed to develop and validate a plasma proteomics-based protein risk score (PRS) to predict incident HF among individuals with obesity. MATERIALS AND METHODS: We analysed 9831 participants with obesity (BMI ≥ 30 kg/m2) from the UK Biobank with baseline measurements of 2911 circulating proteins and up to 16 years of follow-up. Multivariable Cox regression identified proteins associated with incident HF after comprehensive covariate adjustment. A PRS was constructed using LASSO regression and evaluated in a held-out test set. Protein trajectories before HF onset were reconstructed using LOESS modelling. To enhance clinical feasibility, a minimal protein panel was identified using LightGBM with forward feature selection. RESULTS: A total of 727 participants developed HF during follow-up. Multivariable cox analyses identified 578 proteins significantly associated with HF. LASSO regression further selected 81 proteins to build the PRS, which showed a strong association with HF risk in both training (HR 3.57; 95% CI 3.19-4.00) and test cohorts (HR 2.45; 95% CI 2.20-2.74). Adding the PRS improved prediction beyond age and sex (ΔC = 0.091) and beyond the Pooled Cohort Equations to Prevent Heart Failure (PCP-HF) model (ΔC = 0.052), with consistent gains in NRI and IDI. Proteomic deviations were detectable up to 16 years before diagnosis. A four-protein panel (GDF15, NT-proBNP, TNFRSF10B, CTHRC1) achieved robust discrimination (AUC 0.789), outperforming NT-proBNP alone (AUC 0.695) and complementing the PCP-HF model (combined AUC 0.803). DISCUSSION: Large-scale plasma proteomics substantially improves HF risk prediction in individuals with obesity and reveals long-standing molecular alterations preceding clinical onset. A simplified four-protein panel maintains robust predictive accuracy and provides a practical approach for the early detection and targeted prevention of obesity-related HF.

Humans↗
PubMed2025

Pharmacologic interrogation of USP28 cellular function in p53 signaling.

Deubiquitinating enzymes (DUBs) are crucial regulators of ubiquitin signaling and protein degradation that remain incompletely understood in part due to the lack of high-quality chemical probes. To address this challenge, we developed CAS-010, a low nanomolar, ubiquitin-competitive inhibitor of USP28 that demonstrates preferential activity against USP28 over other DUBs, while also exhibiting some activity against the closely related USP25. We rationalized our SAR trends and observed selectivity using a crystal structure of USP28 in complex with an inhibitor. We validated on-target effects of CAS-010 on the negative regulation of p53 transactivation in the wild-type setting. We demonstrated that CAS-010 disrupts the 53BP1-USP28 interaction, and more broadly showed that USP28 catalytic activity contributes to this key interaction. Taken together, CAS-010 and the accompanying negative control compound WPT-086 and inhibitor-resistant mutant provide well-validated tools for further characterizing the role of USP28 in p53-mediated effect on cell cycle control and cell fate.

Tumor Suppressor Protein p53↗
PubMed2004

Structural basis for recruitment of the ATPase activator Aha1 to the Hsp90 chaperone machinery.

Hsp90 is a molecular chaperone essential for the activation and assembly of many key eukaryotic signalling and regulatory proteins. Hsp90 is assisted and regulated by co-chaperones that participate in an ordered series of dynamic multiprotein complexes, linked to Hsp90s conformationally coupled ATPase cycle. The co-chaperones Aha1 and Hch1 bind to Hsp90 and stimulate its ATPase activity. Biochemical analysis shows that this activity is dependent on the N-terminal domain of Aha1, which interacts with the central segment of Hsp90. The structural basis for this interaction is revealed by the crystal structure of the N-terminal domain (1-153) of Aha1 (equivalent to the whole of Hch1) in complex with the middle segment of Hsp90 (273-530). Structural analysis and mutagenesis show that binding of N-Aha1 promotes a conformational switch in the middle-segment catalytic loop (370-390) of Hsp90 that releases the catalytic Arg 380 and enables its interaction with ATP in the N-terminal nucleotide-binding domain of the chaperone.

Binding Sites↗