A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.

Antiviral peptides (AVPs) have shown potential in inhibiting viral attachment, preventing viral fusion with host cells and disrupting viral replication due to their unique action mechanisms. They have now become a broad-spectrum, promising antiviral therapy. However, identifying effective AVPs is traditionally slow and costly. This study proposed a new two-stage computational framework for AVP identification. The first stage identifies AVPs from a wide range of peptides, and the second stage recognizes AVPs targeting specific families or viruses. This method integrates contrastive learning and multi-feature fusion strategy, focusing on sequence information and peptide characteristics, significantly enhancing predictive ability and interpretability. The evaluation results of the model show excellent performance, with accuracy of 0.9240 and Matthews correlation coefficient (MCC) score of 0.8482 on the non-AVP independent dataset, and accuracy of 0.9934 and MCC score of 0.9869 on the non-AMP independent dataset. Furthermore, our model can predict antiviral activities of AVPs against six key viral families (Coronaviridae, Retroviridae, Herpesviridae, Paramyxoviridae, Orthomyxoviridae, Flaviviridae) and eight viruses (FIV, HCV, HIV, HPIV3, HSV1, INFVA, RSV, SARS-CoV). Finally, to facilitate user accessibility, we built a user-friendly web interface deployed at https://awi.cuhk.edu.cn/∼dbAMP/AVP/.

Mixed lineage kinase 3 and CD70 cooperation sensitize trastuzumab-resistant HER2+ breast cancer by ceramide-loaded nanoparticles.

Trastuzumab is the first-line therapy for human epidermal growth factor receptor 2-positive (HER2+) breast cancer, but often patients develop acquired resistance. Although other agents are in clinical use to treat trastuzumab-resistant (TR) breast cancer; still, the patients develop recurrent metastatic disease. One of the primary mechanisms of acquired resistance is the shedding/loss of the HER2 extracellular domain, where trastuzumab binds. We envisioned any new agent acting downstream of the HER2 should overcome trastuzumab resistance. The mixed lineage kinase 3 (MLK3) activation by trastuzumab is necessary for promoting cell death in HER2+ breast cancer. We designed nanoparticles loaded with MLK3 agonist ceramide (PPP-CNP) and tested their efficacy in sensitizing TR cell lines, patient-derived organoids, and patient-derived xenograft (PDX). The PPP-CNP activated MLK3, its downstream JNK kinase activity, and down-regulated AKT pathway signaling in TR cell lines and PDX. The activation of MLK3 and down-regulation of AKT signaling by PPP-CNP induced cell death and inhibited cellular proliferation in TR cells and PDX. The apoptosis in TR cells was dependent on increased CD70 protein expression and caspase-9 and caspase-3 activities by PPP-CNP. The PPP-CNP treatment alike increased the expression of CD70, CD27, cleaved caspase-9, and caspase-3 with a concurrent tumor burden reduction of TR PDX. Moreover, the expressions of CD70 and ceramide levels were lower in TR than sensitive HER2+ human breast tumors. Our in vitro and preclinical animal models suggest that activating the MLK3-CD70 axis by the PPP-CNP could sensitize/overcome trastuzumab resistance in HER2+ breast cancer.

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.

Enhancers are a class of noncoding DNA, serving as crucial regulatory elements in governing gene expression by binding to transcription factors. The identification of enhancers holds paramount importance in the field of biology. However, traditional experimental methods for enhancer identification demand substantial human and material resources. Consequently, there is a growing interest in employing computational methods for enhancer prediction. In this study, we propose a two-stage framework based on deep learning, termed CapsEnhancer, for the identification of enhancers and their strengths. CapsEnhancer utilizes chaos game representation to encode DNA sequences into unique images and employs a capsule network to extract local and global features from sequence "images". Experimental results demonstrate that CapsEnhancer achieves state-of-the-art performance in both stages. In the first and second stages, the accuracy surpasses the previous best methods by 8 and 3.5%, reaching accuracies of 94.5 and 95%, respectively. Notably, this study represents the pioneering application of computer vision methods to enhancer identification tasks. Our work not only contributes novel insights to enhancer identification but also provides a fresh perspective for other biological sequence analysis tasks.

miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.

MicroRNAs (miRNAs) are noncoding RNAs with 18-26 nucleotides; they pair with target mRNAs to regulate gene expression and produce significant changes in various physiological and pathological processes. In recent years, the interaction between miRNAs and their target genes has become one of the mainstream directions for drug development. As a large-scale biological database that mainly provides miRNA-target interactions (MTIs) verified by biological experiments, miRTarBase has undergone five revisions and enhancements. The database has accumulated >2 200 449 verified MTIs from 13 389 manually curated articles and CLIP-seq data. An optimized scoring system is adopted to enhance this update's critical recognition of MTI-related articles and corresponding disease information. In addition, single-nucleotide polymorphisms and disease-related variants related to the binding efficiency of miRNA and target were characterized in miRNAs and gene 3' untranslated regions. miRNA expression profiles across extracellular vesicles, blood and different tissues, including exosomal miRNAs and tissue-specific miRNAs, were integrated to explore miRNA functions and biomarkers. For the user interface, we have classified attributes, including RNA expression, specific interaction, protein expression and biological function, for various validation experiments related to the role of miRNA. We also used seed sequence information to evaluate the binding sites of miRNA. In summary, these enhancements render miRTarBase as one of the most research-amicable MTI databases that contain comprehensive and experimentally verified annotations. The newly updated version of miRTarBase is now available at https://miRTarBase.cuhk.edu.cn/.

Residual biliary intraepithelial neoplasia without malignant transformation at resection margin for perihilar cholangiocarcinoma does not require expanded resection: a dual center retrospective study.

BACKGROUND: Additional resection for invasive cancer at perihilar cholangiocarcinoma (pCCA) resection margins has become a consensus. However, controversy still exists regarding whether additional resection is necessary for residual biliary intraepithelial neoplasia (BilIN). METHOD: Consecutive patients with pCCA from two hospitals were enrolled. The incidence and pattern of resection margin BilIN were summarized. Prognosis between patients with negative margins (R0) and BilIN margins were analyzed. Cox regression with a forest plot was used to identify independent risk factors associated with overall survival (OS) and recurrence-free survival (RFS). Subgroup analysis was performed based on BilIN features and tumor characteristics. RESULTS: 306 pCCA patients receiving curative resection were included. 255 had R0 margins and 51 had BilIN margins. There was no significant difference in OS (P = 0.264) or RFS (P = 0.149) between the two group. Specifically, 19 patients with BilIN at distal bile ducts and 32 at proximal bile ducts. 42 patients showed low-grade BilIN, and 9 showed high-grade. Further analysis revealed no significant difference in long-term survival between different locations (P = 0.354), or between different grades (P = 0.772). Portal vein invasion, poor differentiation and lymph node metastasis were considered independent risk factors for OS and RFS, while BilIN was not. Subgroup analysis showed no significant difference in long-term survival between the lymph node metastasis subgroup, or between the portal vein invasion subgroup. CONCLUSION: For pCCA patients underwent curative resection, residual BilIN at resection margin is acceptable. Additional resection is not necessary for such patients to achieve absolute R0 margin.

Vascular reconstruction provides short-term and long-term survival benefits for patients with hilar cholangiocarcinoma: A retrospective, multicenter study.

BACKGROUND: In patients with hilar cholangiocarcinoma (HCCA), radical resection can be achieved by resection and reconstruction of the vasculature. However, whether vascular reconstruction (VR) improves long-term and short-term prognosis has not been demonstrated comprehensively. METHODS: This was a retrospective multicenter study of patients who received surgery for HCCA with or without VR. Variables associated with overall survival (OS) and recurrence-free survival (RFS) were identified based on Cox regression. Kaplan-Meier curves were used to explore the impact of VR. Restricted mean survival time (RMST) was used for comparisons of short-term survival between the groups. Patients' intraoperative and postoperative characteristics were compared. RESULTS: Totally 447 patients were enrolled. We divided these patients into 3 groups: VR with radical resections (n = 84); non-VR radical resections (n = 309) and non-radical resection (we pooled VR-nonradical and non-VR nonradical together, n = 54). Cox regression revealed that carbohydrate antigen 242 (CA242), vascular invasion, lymph node metastasis and poor differentiation were independent risk factors for OS and RFS. There was no significant difference of RMST between the VR and non-VR radical groups within 12 months after surgery (10.18 vs. 10.76 mon, P = 0.179), although the 5-year OS (P < 0.001) and RFS (P < 0.001) were worse in the VR radical group. The incidences of most complications were not significantly different, but those of bile leakage (P < 0.001) and postoperative infection (P = 0.009) were higher in the VR radical group than in the non-VR radical group. Additionally, the levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) up to 7 days after surgery tended to decrease in all groups. There was no significant difference in the incidence of postoperative liver failure between the VR and non-VR radical groups. CONCLUSIONS: Radical resection can be achieved with VR to improve the survival rate without worsening short-term survival compared with resection with non-VR. After adequate assessment of the patient's general condition, VR can be considered in the resection.

A Causal Regulation Modeling Algorithm for Temporal Events with Application to Escherichia coli's Aerobic to Anaerobic Transition.

Time-series experiments are crucial for understanding the transient and dynamic nature of biological phenomena. These experiments, leveraging advanced classification and clustering algorithms, allow for a deep dive into the cellular processes. However, while these approaches effectively identify patterns and trends within data, they often need to improve in elucidating the causal mechanisms behind these changes. Building on this foundation, our study introduces a novel algorithm for temporal causal signaling modeling, integrating established knowledge networks with sequential gene expression data to elucidate signal transduction pathways over time. Focusing on Escherichia coli's (E. coli) aerobic to anaerobic transition (AAT), this research marks a significant leap in understanding the organism's metabolic shifts. By applying our algorithm to a comprehensive E. coli regulatory network and a time-series microarray dataset, we constructed the cross-time point core signaling and regulatory processes of E. coli's AAT. Through gene expression analysis, we validated the primary regulatory interactions governing this process. We identified a novel regulatory scheme wherein environmentally responsive genes, soxR and oxyR, activate fur, modulating the nitrogen metabolism regulators fnr and nac. This regulatory cascade controls the stress regulators ompR and lrhA, ultimately affecting the cell motility gene flhD, unveiling a novel regulatory axis that elucidates the complex regulatory dynamics during the AAT process. Our approach, merging empirical data with prior knowledge, represents a significant advance in modeling cellular signaling processes, offering a deeper understanding of microbial physiology and its applications in biotechnology.

MethHC 2.0: information repository of DNA methylation and gene expression in human cancer.

DNA methylation is an important epigenetic regulator in gene expression and has several roles in cancer and disease progression. MethHC version 2.0 (MethHC 2.0) is an integrated and web-based resource focusing on the aberrant methylomes of human diseases, specifically cancer. This paper presents an updated implementation of MethHC 2.0 by incorporating additional DNA methylomes and transcriptomes from several public repositories, including 33 human cancers, over 50 118 microarray and RNA sequencing data from TCGA and GEO, and accumulating up to 3586 manually curated data from >7000 collected published literature with experimental evidence. MethHC 2.0 has also been equipped with enhanced data annotation functionality and a user-friendly web interface for data presentation, search, and visualization. Provided features include clinical-pathological data, mutation and copy number variation, multiplicity of information (gene regions, enhancer regions, and CGI regions), and circulating tumor DNA methylation profiles, available for research such as biomarker panel design, cancer comparison, diagnosis, prognosis, therapy study and identifying potential epigenetic biomarkers. MethHC 2.0 is now available at http://awi.cuhk.edu.cn/∼MethHC.

Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation.

Cancer is one of the leading diseases threatening human life and health worldwide. Peptide-based therapies have attracted much attention in recent years. Therefore, the precise prediction of anticancer peptides (ACPs) is crucial for discovering and designing novel cancer treatments. In this study, we proposed a novel machine learning framework (GRDF) that incorporates deep graphical representation and deep forest architecture for identifying ACPs. Specifically, GRDF extracts graphical features based on the physicochemical properties of peptides and integrates their evolutionary information along with binary profiles for constructing models. Moreover, we employ the deep forest algorithm, which adopts a layer-by-layer cascade architecture similar to deep neural networks, enabling excellent performance on small datasets but without complicated tuning of hyperparameters. The experiment shows GRDF exhibits state-of-the-art performance on two elaborate datasets (Set 1 and Set 2), achieving 77.12% accuracy and 77.54% F1-score on Set 1, as well as 94.10% accuracy and 94.15% F1-score on Set 2, exceeding existing ACP prediction methods. Our models exhibit greater robustness than the baseline algorithms commonly used for other sequence analysis tasks. In addition, GRDF is well-interpretable, enabling researchers to better understand the features of peptide sequences. The promising results demonstrate that GRDF is remarkably effective in identifying ACPs. Therefore, the framework presented in this study could assist researchers in facilitating the discovery of anticancer peptides and contribute to developing novel cancer treatments.

A Robust Drug-Target Interaction Prediction Framework with Capsule Network and Transfer Learning.

Drug-target interactions (DTIs) are considered a crucial component of drug design and drug discovery. To date, many computational methods were developed for drug-target interactions, but they are insufficiently informative for accurately predicting DTIs due to the lack of experimentally verified negative datasets, inaccurate molecular feature representation, and ineffective DTI classifiers. Therefore, we address the limitations of randomly selecting negative DTI data from unknown drug-target pairs by establishing two experimentally validated datasets and propose a capsule network-based framework called CapBM-DTI to capture hierarchical relationships of drugs and targets, which adopts pre-trained bidirectional encoder representations from transformers (BERT) for contextual sequence feature extraction from target proteins through transfer learning and the message-passing neural network (MPNN) for the 2-D graph feature extraction of compounds to accurately and robustly identify drug-target interactions. We compared the performance of CapBM-DTI with state-of-the-art methods using four experimentally validated DTI datasets of different sizes, including human (Homo sapiens) and worm (Caenorhabditis elegans) species datasets, as well as three subsets (new compounds, new proteins, and new pairs). Our results demonstrate that the proposed model achieved robust performance and powerful generalization ability in all experiments. The case study on treating COVID-19 demonstrates the applicability of the model in virtual screening.

Carbene-Catalyzed Atroposelective Annulation for Quick Access to Axially Chiral Thiazine Derivatives.

An N-heterocyclic carbene (NHC)-catalyzed atroposelective annulation reaction is disclosed for quick and efficient access to thiazine derivatives. A series of axially chiral thiazine derivatives bearing various substituents and substitution patterns were produced in moderate to high yields with moderate to excellent optical purities. Preliminary studies revealed that some of our products exhibit promising antibacterial activities against Xanthomonas oryzae pv. oryzae (Xoo) that causes rice bacterial blight.

Serum NFL discriminates Parkinson disease from essential tremor and reflect motor and cognition severity.

OBJECTIVE: To investigate the diagnostic value of serum neurofilament light chain (NFL) for discriminating Parkinson disease (PD) from Essential tremor (ET) and healthy controls, and to evaluate its correlation with some clinical features of PD patients. METHODS: This cross-sectional study measured NFL levels with electrochemiluminescence immunoassay in serum of 146 PD patients, 82 ET patients and 60 age-matched healthy controls. We used multivariate regression analyses to examine whether NFL contributes to PD biomarkers. Disease severity were assessed by Unified Parkinson's Disease Rating Scale part III (UPDRS III), Hoehn & Yahr (H-Y) stage and Mini-Mental State Examination (MMSE). RESULTS: Serum NFL levels were significantly higher in PD than in ET and healthy controls (16.6 ± 3.5, 12.2 ± 2.4 and 11.8 ± 2.4 pg/mL, respectively, p < 0.001). In patients with PD, serum NFL were markedly increased in patients with advanced H-Y stage and patients with dementia (both p < 0.001). The correlation analysis revealed that serum NFL was positively associated with UPDRS III score (r = 0.79, p < 0.001) and H-Y stage (r = 0.86, p < 0.001), and negatively correlated with MMSE scores (r = - 0.70, p < 0.001). Further multivariate regression analyses showed that serum NFL was an independent contributor to motor symptom and cognition severity in PD patients (all p < 0.01). CONCLUSIONS: Serum NFL levels were markedly elevated may be a useful clinical biomarker for discriminating PD patients from ET and controls. Serum NFL may serve as a potential blood biomarker for motor and cognition severity of PD.

Paraburkholderia phosphatilytica sp. nov., a phosphate-solubilizing bacterium isolated from forest soil.

A novel Gram-stain-negative, aerobic, non-spore-forming, non-motile and rod-shaped bacterial strain, 7QSK02T, was isolated from forest soil of Dinghushan Biosphere Reserve, Guangdong Province, China. It grew at 12-37 °C, at pH 4.0-7.5 and in the presence of 0-1.0 % (w/v) NaCl on R2A agar medium, with optimum growth at 28 °C, pH 5.5 and 0 % NaCl. Strain 7QSK02T was closely related to members of the genus Paraburkholderia: P. acidipaludis NBRC 101816T (98.1 % 16S rRNA gene sequence similarity), P. piptadeniae STM 7183T (97.6 %), P. kururiensis JCM 10599T (97.3 %), P. caballeronis TNe-841T (97.3 %) and P. diazotrophica JPY461T (97.1 %). 16S rRNA gene sequence analysis showed that strain 7QSK02T and two closely strains, P. kururiensis JCM 10599T and P. caballeronis TNe-841T, formed a clade within the genus Paraburkholderia, but was clearly separated from the established species. The genomic G+C content of strain 7QSK02T was 64.9 mol% based on total genome calculations. The average nucleotide identity and digital DNA-DNA hybridization value for the complete genomes were 79.2-81.5 and 23.2-24.9 % between strain 7QSK02T and its closely related species listed above. Strain 7QSK02T contained ubiquinone 8 as the major respiratory quinone. Major fatty acids were C16 : 0, C17 : 0 cyclo and C19 : 0 cyclo ω8c. The major polar lipids were phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, phosphatidylmethylethanolamine, one unidentified aminophospholipid, aminolipid and polar lipid. The phenotypic, chemotaxonomic and phylogenetic properties, and genome analysis suggest that strain 7QSK02T represents a novel species of the genus Paraburkholderia, for which the name Paraburkholderia phosphatilytica sp. nov. is proposed. The type strain is 7QSK02T (=GDMCC 1.1283T=CGMCC 1.15470T=KCTC 62473T).

Targeted codelivery of doxorubicin and IL-36γ expression plasmid for an optimal chemo-gene combination therapy against cancer lung metastasis.

Cancer metastasis is the main cause for the high mortality in breast cancer patients. In this work we developed a polymer POEG-st-Pmor for targeted co-delivery of IL-36γ expression plasmid and doxorubicin (Dox) to lung metastasis of breast cancer. The polymer readily formed micelles that were effective in loading Dox and simultaneously forming complexes with IL-36γ plasmid. Interestingly, particles co-loaded with Dox and plasmid was significantly smaller and more stable than the particles loaded with Dox only. Gene transfection in both lungs and s.c. tumors was significantly higher with our polymer compared to PEI. In addition, the Dox + IL-36γ/POEG-st-Pmor not only could bring improved anti-metastatic effect but synergistically enhance the type I immune response by increasing the IFN-γ positive CD4+ and CD8+ T cells and simultaneously decreasing the immunosuppressive myeloid-derived suppressor cells in the lung. POEG-st-Pmor may represent a simple and effective delivery system for an optimal chemo-gene combination therapy.

Improved Cancer Immunochemotherapy via Optimal Co-delivery of Chemotherapeutic and Immunomodulatory Agents.

It is highly demanded and still a big challenge to develop an effective formulation for immunochemotherapy against advanced tumors. We have previously reported a PEG-NLG-based immunostimulatory nanocarrier (PEG2k-Fmoc-NLG919) for co-delivery of an IDO1 inhibitor (NLG919) and a chemotherapeutic agent (paclitaxel, PTX). Although antitumor immune responses were enhanced with a PTX-loaded nanocarrier, the accumulation of myeloid-derived suppressor cells (MDSCs) was also significantly increased, which may limit the overall efficacy of therapy. In the present work, we developed an improved dual-functional nanocarrier (PEG5k-Fmoc-NLG2) to co-load PTX and sunitinib (SUN, a multitarget receptor tyrosine kinase inhibitor) for improved cancer immunochemotherapy. We found that the recruited MDSCs negatively impacted the overall antitumor activity of the PTX-loaded PEG-NLG nanocarrier. Mechanistic study suggests that this is likely attributed to the PTX-mediated induction of a number of chemokines that are involved in the recruitment of MDSCs. We have further shown that the induction of these chemokines was drastically blocked by SUN. Co-delivery of PTX and SUN via the PEG5k-Fmoc-NLG9192 nanocarrier led to a further improvement in the therapeutic efficacy with a concomitant reduction in MDSCs.

Dyella halodurans sp. nov., isolated from lower subtropical forest soil.

A Gram-stain-negative, aerobic, non-endospore-forming, motile by a polar flagellum, rod-shaped bacterium, designated strain DHOG02T, which produced yellow-pigmented colonies, was isolated from a soil sample collected from the lower subtropical forest of the Dinghushan Biosphere Reserve, Guangdong Province, PR China. Strain DHOG02T grew at 12-37 °C, pH 4-9 and 0-4 % (w/v) NaCl, with optima at 28 °C, pH 6-7 and 0.5 % (w/v) NaCl. Phylogenetic analyses based on 16S rRNA gene sequences showed that this strain formed a clade with Dyella lipolytica DHOB07T and Dyella jejuensis JP1T, with sequence similarities of 98.0 and 97.4 %, respectively. The result of the concatenated partial gyrB, lepA and recA gene sequence analysis confirmed that strain DHOG02T belongs to the genus Dyella, but is distinct from all currently known species of the genus. The G+C content of the genomic DNA was 62 mol%. The major polar lipids were phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, an unidentified aminophospholipid and phospholipid. Ubiquinone-8 was the only respiratory quinone detected, and iso-C15 : 0, iso-C17 : 1ω9c and summed feature 3 (C16 : 1ω6c and/or C16 : 1ω7c) were the major fatty acids, all of which supported the affiliation of strain DHOG02T to the genus Dyella. On the basis of the evidence presented here, strain DHOG02T represents a novel species of the genus Dyella, for which the name Dyella halodurans sp. nov. is proposed. The type strain is DHOG02T (=NBRC 111474T=CGMCC 1.15435T).

Altenusin, a Nonsteroidal Microbial Metabolite, Attenuates Nonalcoholic Fatty Liver Disease by Activating the Farnesoid X Receptor.

Nonalcoholic fatty liver disease (NAFLD) is a prevalent chronic liver disease. The incidence of NAFLD has increased steadily due to its close association with the global epidemic of obesity and type 2 diabetes. However, there is no effective pharmacological therapy approved for NAFLD. Farnesoid X receptor (FXR), a member of the nuclear receptor subfamily, plays important roles in maintaining the homeostasis of bile acids, glucose, and lipids. FXR agonists have shown promise for the treatment of NAFLD. In this study, we report altenusin (2076A), a natural nonsteroidal fungal metabolite, as a novel selective agonist of FXR with an EC50 value of 3.2 ± 0.2 µM. Administration of 2076A protected mice from high-fat diet (HFD)-induced obesity by reducing the body weight and fat mass by 22.9% and 50.0%, respectively. Administration of 2076A also decreased the blood glucose level from 178.3 ± 12.4 mg/dl to 116.2 ± 4.1 mg/dl and the serum insulin level from 1.4 ± 0.6 ng/dl to 0.4 ± 0.1 ng/dl. Moreover, 2076A treatment nearly reversed HFD-induced hepatic lipid droplet accumulation and macrovesicular steatosis. These metabolic effects were abolished in FXR knockout mice. Mechanistically, the metabolic benefits of 2076A might have been accounted for by the increased insulin sensitivity and suppression of genes that are involved in hepatic gluconeogenesis and lipogenesis. In summary, we have uncovered a new class of nonsteroidal FXR agonist that shows promise in treating NAFLD and the associated metabolic syndrome.

Activation of Liver X Receptor Attenuates Oleic Acid-Induced Acute Respiratory Distress Syndrome.

Liver X receptors (LXRs) were identified as receptors that sense oxidized cholesterol derivatives. LXRs are best known for their hepatic functions in regulating cholesterol metabolism and triglyceride synthesis, but whether and how LXRs play a role in the lung diseases is less understood. To study the function of LXRs in acute respiratory distress syndrome (ARDS), we applied the oleic acid (OA) model of ARDS to mice whose LXR was genetically or pharmacologically activated. The VP-LXRα knock-in (LXR-KI) mice, in which a constitutively activated LXRα (VP-LXRα) was inserted into the mouse LXRα locus, were used as the genetic gain-of-function model. We showed that the OA-induced lung damages, including the cytokine levels and total cell numbers and neutrophil numbers in the bronchoalveolar lavage fluid, the wet/dry weight ratio, and morphological abnormalities were reduced in the LXR-KI mice and wild-type mice treated with the LXR agonist GW3965. The pulmonoprotective effect of GW3965 was abolished in the LXR-null mice. Consistent with the pulmonoprotective effect of LXR and the induction of antioxidant enzymes by LXR, the OA-induced suppression of superoxide dismutase and catalase was attenuated in LXR-KI mice and GW3965-treated wild-type mice. Taken together, our results demonstrate that activation of LXRs can alleviate OA-induced ARDS by attenuating the inflammatory response and enhancing antioxidant capacity.

Lymphoma Immunochemotherapy: Targeted Delivery of Doxorubicin via a Dual Functional Nanocarrier.

Chemotherapy drug (paclitaxel, PTX) incorporated in a dual functional polymeric nanocarrier, PEG-Fmoc-NLG, has shown promise as an immunochemotherapy in a murine breast cancer model, 4T1.2. The formulation is composed of an amphiphilic polymer with a built-in immunotherapy drug NLG919 that exhibits the immunostimulatory ability through the inhibition of indoleamine 2,3-dioxygenase 1 (IDO-1) in cancer cells. This work evaluates whether the PEG-derivatized NLG polymer can also be used for delivery of doxorubicin (Dox) in treatment of leukemia. The Dox-loaded micelles were self-assembled from PEG-Fmoc-NLG conjugate, which have a spherical shape with a uniform size of ∼120 nm. In cultured murine lymphocytic leukemia cells (A20), Dox-loaded PEG-Fmoc-NLG micelles showed a cytotoxicity that was comparable to that of free Dox. For in vivo studies, significantly improved antitumor activity was observed for the Dox/PEG-Fmoc-NLG group compared to Doxil or the free Dox group in an A20 lymphoma mouse model. Flow cytometric analysis showed that treatment with Dox/PEG-Fmoc-NLG micelles led to significant increases in the numbers of both total CD4+/CD8+ T cells and the functional CD4+/CD8+ T cells with concomitant decreases in the numbers of myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Treg). Dox/PEG-Fmoc-NLG may represent a promising immunochemotherapy for lymphoma, which warrants more studies in the future.

Improved Micellar Formulation for Enhanced Delivery for Paclitaxel.

We have previously improved the bioactivity of PEG5k-FTS2 system by incorporating disulfide bond (PEG5k-S-S-FTS2) to facilitate the release of farnesyl thiosalicylic acid (FTS).1 Later, fluorenylmethyloxycarbonyl (Fmoc) moiety has been introduced to PEG5k-FTS2 system (PEG5k-Fmoc-FTS2) in order to enhance drug loading capacity (DLC) and formulation stability.2 In this study, we have brought in both disulfide linkage and Fmoc group to PEG5k-FTS2 to form a simple PEG5k-Fmoc-S-S-FTS2 micellar system. PEG5k-Fmoc-S-S-FTS2 conjugate formed filamentous micelles with a ∼10-fold decrease in critical micellar concentration (CMC). Compared with PEG5k-Fmoc-FTS2, our novel system exhibited further strengthened DLC and colloidal stability. More FTS was freed from PEG5k-Fmoc-S-S-FTS2 in treated tumor cells compared to PEG5k-Fmoc-FTS2, which was correlated to an increased cytotoxicity of our new carrier in these cancer cells. After loading Paclitaxel (PTX) into PEG5k-Fmoc-S-S-FTS2 micelles, it showed more potent efficiency in inhibition of tumor cell proliferation than Taxol and PTX-loaded PEG5k-Fmoc-FTS2. PTX release kinetics of PTX/PEG5k-Fmoc-S-S-FTS2 was much slower than that of Taxol and PTX/PEG5k-Fmoc-FTS2 in normal release medium. In contrast, in glutathione (GSH)-containing medium, PTX in PEG5k-Fmoc-S-S-FTS2 micelles revealed faster and more complete release. Pharmacokinetics and tissue distribution study showed that our PEG5k-Fmoc-S-S-FTS2 system maintained PTX in circulation for a longer time and delivered more PTX to tumor sites with less accumulation in major organs. Finally, PTX-loaded PEG5k-Fmoc-S-S-FTS2 micelles resulted in a superior therapeutic effect in vivo compared to Taxol and PTX formulated in PEG5k-Fmoc-FTS2 micelles.