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17
result(s) for
"Guo, Haihao"
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Sulfur-enriched sub-arc fluids drive deep sulfur cycling in subduction zones
2026
Arc magmas are enriched in sulfur relative to mid-ocean ridge basalts, commonly attributed to slab-derived sulfur inputs during subduction. However, the contribution of slab fluids remains debated because sulfur concentrations in sub-arc fluids have not been directly measured. Here we quantify sulfur in slab-derived fluids preserved as multiphase fluid inclusions composed of H
2
O, calcite, and chalcopyrite in omphacite from ultrahigh-pressure eclogites in the Sumdo orogenic belt. Three-dimensional Raman spectroscopy reveals high sulfur concentrations averaging ~6 wt.%. Mass-balance calculations indicate that such fluids can efficiently enrich the mantle wedge and supply up to ~70% of the sulfur emitted by arc volcanism. We further suggest that chalcopyrite formed through post-entrapment reduction of oxidized sulfur species by host omphacite, followed by precipitation with co-entrapped copper and iron. Our findings identify sub-arc depths as a critical window for slab sulfur release and provide key constraints on deep sulfur cycling and copper mobilization in arc systems.
Three-dimensional Raman modelling of multiphase inclusions in Sumdo eclogites reveals sulfur rich slab-derived fluids at sub-arc depths, providing direct constraints on deep sulfur cycling and copper mobilization in subduction zones.
Journal Article
A Chlorella pyrenoids Hexapeptide VPIIMH Alleviates Lipid Accumulation and Oxidative Stress in Caenorhabditis elegans : Insight from In Vitro, In Vivo, and Network Parmacology Analyses
by
Guo, Haihao
,
Wang, Yanyan
,
Yao, Jingyue
in
Accumulation
,
anti-obesity
,
Anticholesteremic agents
2026
Plant-derived bioactive peptides have garnered widespread interest for their functions in managing obesity and associated metabolic disorders. This study investigated the lipid-lowering activity and underlying mechanisms of VPIIMH, a hexapeptide derived from
, using in vitro enzymatic assays,
models, and network pharmacology. In vitro, VPIIMH acted as a reversible non-competitive inhibitor of pancreatic lipase, achieving an inhibition rate of 43.17 ± 1.47% at 8.0 mg/mL. Molecular docking revealed that this inhibition likely occurs through ionic bonds between VPIIMH and PL (1LPB) at Arg256. In a high-fat
model, treatment with 0.5 mg/mL VPIIMH significantly reduced fat accumulation by 37.2% and triglyceride levels by 26.9%. Furthermore, VPIIMH extended the lifespan of
under oxidant stress by 40.3% and under heat stress by 17.5%. Network pharmacology predicted that VPIIMH targets nine core proteins, which were classified into three synergistic modules: the SIRT1-PPAR for core regulation, the RAS for systemic coordination, and the inflammatory target (CCR5, MMP9, EGFR) for microenvironment support. This study elucidates the multi-target and multi-pathway mechanism of VPIIMH, suggesting its potential application in combating obesity and related lipid metabolism disorders. These findings provide a scientific basis for the development of VPIIMH as a functional food ingredient targeting metabolic health.
Journal Article
In-situ infrared spectra of OH in rutile up to 1000 °C
2017
The infrared spectra of hydrous, oriented single crystals of synthetic Al-doped and pure rutile were measured from room temperature to 1000 °C at 1 bar using a heating stage. At room temperature, the spectra show only one band at ~3278 cm
−1
in pure rutile, and two additional bands at ~3303 and 3323 cm
−1
in Al-doped rutile. The main band associated with Al at ~3323 cm
−1
loses intensity as temperature increases and nearly disappears already at 300 °C. This suggests that the corresponding defect only forms during cooling and, therefore, water speciation in rutile at room temperature is not representative of subduction zone or upper mantle conditions. All OH bands shift to lower wavenumbers at elevated temperatures with dν/d
T
= −0.0831 cm
−1
K
−1
for the main band at 3278 cm
−1
. This strong low-frequency shift is unexpected for an OH bond involved in hydrogen bonding, indicating decreasing O–O distance for the OH band. Together with the extreme broadening of the band at high temperature, it suggests some weakening of the OH bond strength and a rapid exchange of protons, consistent with rapid hydrogen diffusion in rutile.
Journal Article
Long non‐coding RNA CRNDE promotes the proliferation, migration and invasion of hepatocellular carcinoma cells through miR‐217/MAPK1 axis
by
Yang, Peiwen
,
Ke, Ji
,
Ma, Ke
in
Base Sequence
,
Biomarkers, Tumor - metabolism
,
Carcinoma, Hepatocellular - genetics
2018
Hepatocellular carcinoma (HCC) is an invasive malignant tumour and the second major cause of cancer‐related deaths over the world. CRNDE and miR‐217 are non‐coding RNAs which play critical roles in cell growth, proliferation, migration. Mitogen‐activated protein kinase 1 (MAPK1) also participates in cancer cell process. Hence, this study aimed at investigating the effect of CRNDE on migration and invasion of HCC and figuring out the role of miR‐217 and MAPK1 in this process. The overexpression of CRNDE was demonstrated by a microarray‐based lncRNA profiling study. CRNDE expression in HCC was verified by qRT‐PCR. MTT assay and BrdU staining were applied to detect cell proliferation level. Transwell assay was utilized to examine cell migration and invasiveness abilities. Wound healing assay was performed for further exploration of cell migration capacity. MiR‐217 was predicted by bioinformatics. The dual luciferase reporter assay was performed to corroborate the targeting relationship between CRNDE, miR‐217 and MAPK1. MAPK1, the downstream target of miR‐217, was predicted using bioinformatics and was further confirmed by qRT‐PCR and Western blot. The interaction between CRNDE, miR‐217 and MAPK1 was studied by qRT‐PCR, Western blot, MTT, BrdU, transwell assay and wound healing assay. CRNDE was up‐regulated in HCC tissues and HCC cell lines. The high expression of CRNDE facilitated cell proliferation, migration and invasion, while the inhibited one affected on the contrary. MiR‐217, negatively correlated with CRNDE expression, was the target of CRNDE and was more lowly expressed in HCC. With the high expression of miR‐217, HCC cell proliferation, migration and invasion were suppressed. MAPK1, the possible target of miR‐217, was negatively correlated with miR‐217 but positively correlated with CRNDE and had the same effect in HCC formation process as CRNDE. Long non‐coding RNA CRNDE promotes the proliferation, migration and invasion of HCC cells through miR‐217/MAPK1 axis.
Journal Article
Inverse Beamforming Algorithm for Strong Interference Suppression Based on Parameter-Adaptive Optimization
2026
To improve the interference suppression performance of the inverse beamforming algorithm, an improved inverse beamforming algorithm based on the least squares criterion is proposed in this paper. Firstly, the array manifold matrix is constructed, and its generalized inverse matrix is multiplied by the beam-domain data of interference to obtain the element-domain interference data. Subsequently, the constructed element-domain interference data is subtracted from the original element-domain data to realize interference cancellation. This paper theoretically analyzes why the traditional inverse beamforming algorithm forms nulls towards interference directions yet retains prominent residual power in the regions immediately adjacent to the nulls. The proposed algorithm adopts grid search and Bayesian optimization to realize adaptive parameter selection. The theoretical analysis proves that the new algorithm can completely eliminate residual power, adjust the width of interference nulls, and further improve the local signal-to-noise ratio (SNR). Simulation results show that compared with the conventional inverse beamforming algorithm, the proposed algorithm increases the local SNR by 2–3 dB, suppresses the in-mainlobe power by no less than 30 dB, and enables adjustable width of interference nulls. Sea trial data further verifies the effectiveness and superior performance of the proposed algorithm.
Journal Article
Long non‐coding RNA LINC00467 drives hepatocellular carcinoma progression via inhibiting NR4A3
2020
Hepatocellular carcinoma (HCC) is a main cause of cancer‐related deaths globally. Long non‐coding RNAs (lncRNAs) play important roles in diverse cancers. Our previous microarray‐based lncRNA profiling showed that LINC00467 was highly expressed in HCC. Here, we further explored the expression, role and functional mechanism of lncRNA LINC00467 in HCC. Our findings revealed that LINC00467 was up‐regulated in HCC tissues and HCC cell lines. Increased expression of LINC00467 was positively associated with tumour size and vascular invasion. In vitro functional experiments revealed that LINC00467 accelerated HCC cell proliferation, cell cycle progression and migration and reduced HCC cell apoptosis. In vivo functional assays revealed that LINC00467 drove HCC xenograft growth and HCC cell proliferation and repressed HCC cell apoptosis in vivo. Moreover, LINC00467 inhibited NR4A3 post‐transcriptionally via interacting with NR4A3 mRNA to form double‐stranded RNA, which was further degraded by Dicer. The expression of NR4A3 was inversely associated with LINC00467 in HCC tissues. Functional rescue assays found that restore of NR4A3 expression blocked the oncogenic roles of LINC00467 in HCC. Taken together, our results demonstrated that lncRNA LINC00467 was a novel highly expressed and oncogenic lncRNA in HCC via inhibiting NR4A3. Targeting LINC00467 or enhancing NR4A3 may be potential therapeutic strategies against HCC.
Journal Article
Molecular characterization of a new human coxsackievirus B2 associated with severe hand-foot-mouth disease in Yunnan Province of China in 2012
by
Zhao, Yilin
,
Guo, Chen
,
Zhang, Jie
in
Amino acids
,
Annotated Sequence Record
,
Biomedical and Life Sciences
2017
Human coxsackievirus B2 (CVB2) belongs to the species
Human enterovirus B
and can cause aseptic meningitis, myocarditis and hand-foot-mouth disease (HFMD). We first determined the complete genome of the RW41-2/YN/CHN/2012 strain, isolated from a patient with HFMD and aseptic meningitis in the Yunnan Province, China in 2012. The strain shared 83.5 % and 82.2 % nucleotide similarity with CVB2 prototype strain Ohio-1, in the complete
VP1
gene and the complete genome, respectively. Using phylogenetic and homogeneity analyses for the complete
VP1
gene, CVB2 strains could be divided into four genogroups (A–D); the RW41-2/YN/CHN/2012 strain belonging to genogroup D. The amino acid sequence of VP1 is highly conserved. Recombination analyses showed the newly isolated RW41-2/YN/CHN/2012 strain was probably a recombinant, which was closely related to strain CVB2 (KM386639) in the genomic P1 and P2 regions and strains of other human enterovirus B (HEV-B) viruses (KT353721, JX644073, and KP262053) in the P3 region.
Journal Article
Progress report on Muon Source Project at CSNS
2023
A Muon station for sciEnce, technoLOgy and inDustrY (MELODY) has been listed in the China Spallation Neutron Source upgrade plan, and the infrastructure construction is scheduled to start by the end of 2022. The 1.6 GeV double-pulsed proton bunch will be extracted from the Rapid Cycling Synchrotron (RCS) ring to a stand-alone target station. One surface muon and one decay muon beamline are designed to provide multi-terminals for applications. In this report, we describe the design of MELODY and prospect for future applications.
Journal Article
Study of Methane Solubility Calculation Based on Modified Henry’s Law and BP Neural Network
2024
Methane (CH4), a non-polar molecule characterized by a tetrahedral structure, stands as the simplest organic compound. Predominantly constituting conventional natural gas, shale gas, and combustible ice, it plays a pivotal role as a carbon-based resource and a key raw material in the petrochemical industry. In natural formations, CH4 and H2O coexist in a synergistic system. This interplay necessitates a thorough examination of the phase equilibrium in the CH4-H2O system and CH4’s solubility under extreme conditions of temperature and pressure, which is crucial for understanding the genesis and development of gas reservoirs. This study synthesizes a comprehensive solubility database by aggregating extensive solubility data of CH4 in both pure and saline water. Utilizing this database, the study updates and refines the key parameters of Henry’s law. The updated Henry’s law has a prediction error of 22.86% at less than 40 MPa, which is an improvement in prediction accuracy compared to before the update. However, the modified Henry’s law suffers from poor calculation accuracy under certain pressure conditions. To further improve the accuracy of solubility prediction, this work also trains a BP (Back Propagation) neural network model based on the database. In addition, MSE (Mean-Square Error) is used as the model evaluation index, and pressure, temperature, compression coefficient, salinity, and fugacity are preferred as input variables, which finally reduces the mean relative error of the model to 16.32%, and the calculation results are more accurate than the modified Henry’s law. In conclusion, this study provides a novel and more accurate method for predicting CH4 solubility by comparing modified Henry’s law to neural network modeling.
Journal Article