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Lu Xu

Publications and source records attributed to Lu Xu.

9 recordsLinked to original sources
PubMed2026

Profiling Dectin-2-Positive Tumor-Associated Macrophages Across Human Cancers by Immunohistochemistry.

PURPOSE: To characterize the prevalence and distribution of Dectin-2-positive macrophages across human tumors and develop a research immunohistochemistry (IHC) assay to assess Dectin-2 in cancer tissues. MATERIALS AND METHODS: C-type lectin domain family 6 member A (CLEC6A), the gene encoding Dectin-2, was evaluated across 38 tumor types using The Cancer Genome Atlas. A fit-for-purpose Dectin-2 IHC assay was developed using a monoclonal antibody selected from screening 11 anti-Dectin-2 antibodies. Assay performance was supported by Dectin-2-expressing and parental cell line controls, macrophage-associated staining patterns, and comparison with an orthogonal CLEC6A in situ hybridization method using RNAscope. Dectin-2 expression was assessed in tissue microarrays (n = 553 samples) across 6 cancer types and whole tissue sections (n = 137) across 7 cancer types. RESULTS: The Cancer Genome Atlas analysis identified enriched CLEC6A expression in several tumor types, including non-small cell lung cancer (NSCLC), triple-negative breast cancer (TNBC), and subsets of head and neck cancer (HNC) and colorectal cancer (CRC). By IHC, Dectin-2-positive macrophages were detected across tumor types, with notable heterogeneity within and across cancer types. In tissue microarrays, NSCLC showed the highest frequency of Dectin-2-positive macrophage infiltration, with 38% of cases with staining ≥1% of tumor area. Whole tissue section analysis confirmed and expanded these findings, with ≥50% of NSCLC, melanoma, HNC, TNBC, and CRC samples showing Dectin-2-positive macrophages in ≥1% tumor area. CONCLUSIONS: Dectin-2 expression was observed in subsets of tumor-associated macrophages across multiple human cancers, with relatively enriched expression in NSCLC, melanoma, HNC, TNBC, and CRC. To our knowledge, this study represents the first broad protein-level characterization of Dectin-2 across multiple human tumor types, identifies cancers with relatively enriched Dectin-2-positive macrophage infiltration, and provides a foundation for future translational studies of Dectin-2-targeted therapies.

Humans↗
PubMed2004

Nicotinic and muscarinic acetylcholine receptors are essential for the long-term response of tyrosine hydroxylase gene expression to chronic nicotine treatment in rat adrenal medulla.

Nicotine induces tyrosine hydroxylase (TH) mRNA by interacting with nicotinic acetylcholine receptors (nAChRs) in cultured adrenal medullary cell systems; however, the mechanisms responsible for the induction of adrenal TH in response to systemically administered nicotine under in vivo conditions are more complex. In the present study, we tested whether nAChRs and muscarinic acetylcholine receptors (mAChRs) participate in the induction of adrenal TH observed after long-term treatment with nicotine. Chronic nicotine treatment (1.6 mg/kg, two daily injections spaced 12 h apart for 7 days) induced TH mRNA, TH protein and TH activity in rat adrenal medulla. This induction of TH gene expression was totally blocked when an antagonist of either nAChRs or mAChRs was administered prior to each nicotine injection. Repeated injections of the mAChR agonist bethanechol (5 mg/kg injected twice per day for 7 days) also produced increases in TH mRNA levels; however, TH protein levels and TH activity did not increase in response to bethanechol. In denervated adrenal glands chronic nicotine treatment did not lead to induction of either TH mRNA, TH protein or TH activity, whereas chronic bethanechol treatment led to induction of TH mRNA, but not TH protein or activity. These results suggest that agonist occupation of both nAChRs and mAChRs are essential for the complete response of TH gene expression to chronic nicotine treatment in rat adrenal medulla, but that stimulation of either cholinergic receptor by itself is not sufficient to elicit a full response. The results also suggest that both transcriptional and post-transcriptional mechanisms may potentially need to be regulated to induce TH protein in response to some stimuli.

Adrenal Medulla↗
PubMed2004

Chronic nicotine treatment leads to induction of tyrosine hydroxylase in locus ceruleus neurons: the role of transcriptional activation.

Chronic nicotine treatment (two daily subcutaneous injections administered approximately 12 h apart for 14 days) is associated with long-term inductions of tyrosine hydroxylase (TH) protein and TH mRNA in locus ceruleus (LC) neurons. These increases persist for at least 3 days after the final nicotine injection in LC cell bodies and for at least 7 to 10 days in LC nerve terminal regions. We tested whether this long-term response is due to sustained stimulation of TH gene transcription rate. A semiquantitative reverse transcription-polymerase chain reaction assay was developed to assess changes in the levels of TH RNA primary transcripts; these changes are an indirect measurement of changes in TH gene transcription rate. TH RNA primary transcript levels increase rapidly in the LC after a single nicotine administration and return to basal levels by 24 h. A similar rapid and transient induction of LC TH RNA primary transcripts occurs after chronic nicotine administration. In contrast, TH RNA primary transcript levels remain elevated for a sustained period of time (at least 1 day) in the adrenal medulla after chronic nicotine administration. Similar rapid, but transient changes in LC TH RNA primary transcript levels are observed after repeated immobilization stress. These results suggest that TH gene transcription rate in the LC is stimulated rapidly after each nicotine injection; however, in contrast to the adrenal medulla, there is no sustained transcriptional response elicited by chronic nicotine treatment or repeated immobilization stress in the LC, suggesting that post-transcriptional mechanisms may also play a role in these long-term responses.

Adrenal Medulla↗
PubMed2003

Physiologically-based pharmacokinetics and molecular pharmacodynamics of 17-(allylamino)-17-demethoxygeldanamycin and its active metabolite in tumor-bearing mice.

A whole-body physiologically-based model was developed to describe the pharmacokinetics of the ansamycin benzoquinone antibiotic 17-(allylamino)-17-demethoxygeldanamycin (17AAG) and its active metabolite 17-(amino-)-17-demethoxygeldanamycin (17AG) in blood, normal organs (lung, brain, heart, spleen, liver, kidney, skeletal muscle) and implanted human tumor xenograft in nude mice. The distribution of 17 AAG in all organs was described by diffusion-limited exchange models, while that of 17 AG was described by perfusion-limited models. The intrinsic clearances of 17AAG and 17AG in the liver were uniquely identified using local models and were estimated to be 4.93 ml/hr and 3.34 ml/hr. It was also estimated that the formation of 17AG in liver accounted for 40% of the 17AAG intrinsic clearance. The model for the distribution of both 17AAG and 17AG in the human breast cancer tumor xenograft included vascular, interstitial and intracellular compartments, which yielded the predicted cellular concentrations of 17AAG and 17AG two to three times higher than the corresponding whole tissue measurements at steady state. Estimates of the vascular-interstitial permeability surface-area product were similar for 17AAG and 17AG (0.23 ml/hr and 0.26 ml/hr). However, the interstitial to cellular transport rate of 17AG was three-fold greater than that of 17AAG, which resulted in the preferential uptake of 17AG over 17AAG in tumor. Indirect response models were developed to describe the combined action of 17AAG and 17AG on the onco-proteins Raf-1 and p185erbB2 in tumor. The half-life of endogenous protein turnover was estimated to be 22.6 hr for Raf-1 and 8.6 hr for p185erbB2, and both were comparable to corresponding values measured in vitro. A model for the molecular chaperon heat shock proteins HSP70 and HSP90 was developed based on the molecular mechanism of heat shock auto-regulation and the action of 17AAG and 17AG on these proteins. The model provided in vivo estimates of endogenous HSP70 and HSP90 turnover. In modeling pharmacokmetics and pharmacodynamics, Bayesian inference was employed to estimate the kinetic, physiological and molecular parameters when prior information was available.

Animals↗
PubMed2003

[Passage adaptability of candidate strains for hemorrhagic fever with renal syndrome purified vaccine in Vero cells and their immunogenicity].

OBJECTIVE: To adapt the candidate strains of hemorrhagic fever with renal syndrome (HFRS) purified vaccine to Vero cells and to study their antigenicity and immunogenicity. METHODS: The viral strains H8207 (Hantaan virus, HTN) and Y86013 (Seoul virus, SEO) were continuously propagated in Vero cell by the terminal dilution method and studied the characteristics of virus multiplication, viral titers and the amounts of virus antigen after serial passages. Three batches of crude monovalent inactivated vaccine were developed using the different passages of these 2 viral strains. RESULTS: The strains H8207 and Y86013 adapted to Vero cells and stably grew on the cells with high titers. Rabbits immunized with the crude vaccines of H8207 and Y86013 showed 100% sero-conversion and the neutralizing antibody titers of the rabbit immune sera reached 1?10 at 4 weeks after 2 times of immunization. CONCLUSIONS: The results suggest that these 2 candidate strains had adapted to Vero cells, possessed high titers and good immunogenicity and be feasible to prepare the HFRS purified vaccine in Vero cells.

Animals↗
PubMed2002

The study on automorphism group of ESESOC.

It is necessary to generate the automorphism group of a chemical graph in computer-aided structure elucidation. In this paper, an algorithm was developed by the all-paths topological symmetry algorithm to build the automorphism group of a chemical graph. A comparison of several topological symmetry algorithms reveals that the all-paths algorithm (APA) could yield the correct class of a chemical graph. It lays a foundation for the ESESOC system in computer-aided structure elucidation.

Journal Article↗
PubMedDate not supplied

Effective descriptions of molecular structures and the quantitative structure-activity relationship studies.

In this research, we found CoMFA alone could not obtain sufficiently a strong equation to allow confident prediction for aminobenzenes. When some other parameter, such as heat of molecular formation of the compounds, was introduced into the CoMFA model, the results were improved greatly. It gives us a hint that a better description for molecular structures will yield a better prediction model, and this hint challenged us to look for another method--the projection areas of molecules in 3D space for 3D-QSAR. It is surprising that much better results than that obtained by using CoMFA were achieved. Besides the CoMFA analysis, multiregression analysis and neural network methods for building the models were used in this paper.

Journal Article↗
PubMedDate not supplied

Correlation analysis of the structures and stability constants of gadolinium(III) complexes.

To simplify the abstraction of descriptors, for the correlation analysis of the stability constants of gadolinium(III) complexes and their ligand structures, aiming at gadolinium(III) complexes, we only considered the ligands and ignored the common parts of the structures, i.e., the metal ions. Quantum-chemical descriptors and topological indices were calculated to describe the structures of the ligands. Multiple regression analysis and neural networks were applied to construct the models between the ligands and the stability constants of gadolinium(III) complexes and satisfactory results were obtained.

Contrast Media↗