Abstract Introduction: Coronavirus disease 2019 (COVID-19) is a novel, highly infectious disease that is a severe danger to human life and has spawned a worldwide public health emergency. Most countries have implemented measures of isolation to prevent the spread of COVID-19, but related studies have shown that isolation increases the risk of anxiety, thereby affecting an individual’s physical and mental health. Simple and effective therapies for anxiety among quarantined populations need to be further explored. Horticultural activities can divert people's attention and alleviate negative emotions. Acupuncture is a conventional alternative therapy that has demonstrated efficacy in mood stabilization. The current study aimed to explore the clinical efficacy of combined Chinese and Western medicine therapies in alleviating anxiety among quarantined individuals during a pandemic. Methods In this prospective, randomised controlled trial (RCT), 150 patients with generalised anxiety disorder will be recruited from the Seventh Clinical College affiliated to Guangzhou University of Chinese Medicine. Eligible subjects will be randomly divided into the horticultural group (n = 50), intradermal acupuncture group (n = 50) and combined treatment group (n = 50). The horticulture group will engage in horticultural activity after basic treatment; the intradermal needle group will undergo intradermal needling after basic treatment; and the combined group will engage in horticultural activity and undergo intradermal needling after basic treatment. The treatments will be provided once a week for 8 weeks. The main outcome will be scores on the Hamilton Anxiety Scale (HAMA); secondary outcomes will include scores on the Self-Assessment Scale for Anxiety (SAS) and Pittsburgh Sleep Quality Index Scale (PSQI), serum indexes, and cortical excitability. All scales will be evaluated at baseline, at 2, 4, 6, and 8 weeks of treatment, and at follow-up; serological indicators and cortical excitability will be assessed at baseline and during week eight of treatment. Discussion The result of the experiment will help to clarify the therapeutic effects of horticultural therapy combined with intradermal needling on anxiety among isolated individuals and to elucidate the therapeutic mechanisms of this combined treatment among patients with anxiety. The purpose of this research is to eventually incorporate this combination approach into a treatment programme for anxiety, thereby significantly reducing the burden of mood disorders in the general population during public health emergencies. Trial registration: ClinicalTrials.gov ChiCTR2200066321. Registered on December 1, 2022
Hepatocellular carcinoma is one of the malignancies worldwide with a high mortality rate and an increasing incidence. Molecular Targeted agents are its common first-line treatment. Organoid technology, as a cutting-edge technology, is gradually being applied in the development of therapeutic oncology. Organoid models can be used to perform sensitivity screening of targeted drugs to facilitate the development of innovative therapeutic agents for the treatment of hepatocellular carcinoma. The purpose of this review is to provide an overview of the opportunities and challenges of hepatocellular carcinoma organoids in targeted drug sensitivity testing as well as a future outlook.
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ABSTRACT The diverse cellular milieu of the gastric tissue microenvironment plays a critical role in normal tissue homeostasis and tumor development. However, few cell culture model can recapitulate the tissue microenvironment and intercellular signaling in vitro . Here we applied an air-liquid interface method to culture primary gastric organoids that contains epithelium with endogenous stroma. To characterize the microenvironment and intercellular signaling in this model, we analyzed the transcriptomes of over 5,000 individual cells from primary gastric organoids cultured at different time points. We identified epithelial cells, fibroblasts and macrophages at the early stage of organoid formation, and revealed that macrophages were polarized towards wound healing and tumor promotion. The organoids maintained both epithelial and fibroblast lineages during the course of time, and a subset of cells in both lineages expressed the stem cell marker Lgr5 . We identified that Rspo3 was specifically expressed in the fibroblast lineage, providing an endogenous source of the R-spondin to activate Wnt signaling. Our studies demonstrate that air-liquid-interface-derived organoids provide a novel platform to study intercellular signaling and immune response in vitro .
Abstract The gastric carcinoma cells have complex interactions with diverse cell types in the associated tumor microenvironment. The tumor microenvironment plays important roles on gastric cancer development, progression and therapy response. In this study, we leveraged high-throughput single-cell RNA sequencing (scRNAseq) to characterize the diverse cell population in gastric tumors. In total, we analyzed more than 30,000 single cells from eight gastric tumors and matched normal tissues. Cells were sequenced at an average depth of 70000 reads/cell to guarantee sufficient coverage for downstream analysis. Using graph-based cell clustering methods and known cell markers, we identified heterogenous epithelial cells (PGC+, MUC5AC+, TFF1+, EPCAM+, CDH1+), fibroblasts (ACTA2+, THY1+, COLA1+), endothelial cells (VWF+, PECAM1+), and a variety of immune cells including M1 and M2 macrophages (IL1A+, IL1B+, TNF+, MARCO+, MSR1+, CD68+), CD4 T cells (CD3D+, CD4+), CD8 T cells (CD8A+), Gamma Delta T cells (TRGC2+, TRDC+), B cells (CD79+), and plasma cells (CD19+, CD20+, IgG+). Specifically, gastric epithelial cancer cells demonstrated distinct CNVs inferred from single cell transcriptome files. We established and characterized patient derived gastric cancer organoids from single tumor cells. The organoids recapitulate CNVs found in the original gastric tumors and displayed varied degree of drug responses. We identified specific molecular features of the tumor microenvironment that modulate cell growth and immune responses. For example, we identified heterogenous myofibroblast populations with distinct chemokine secretory profiles compared to normal gastric tissue. We characterized gene signatures associated with immune checkpoints on T cells and targetable molecules in innate cells. Using cell type specific expression profiles, we were able to establish a comprehensive signaling network of tumor-tumor, tumor-stromal, stromal-stromal and stromal-tumor signaling via receptor-ligand pairing. Citation Format: Jiamin Chen, Anuja Sathe, Sue Grimes, Stephanie Greer, Billy Lau, Ann Renschler, George Poultsides, Carlos Suarez, Hanlee Ji. Comprehensive characterization of gastric cancer at single-cell resolution [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 151.
Microalgae are promising feedstocks for production of renewable biofuels and value-added bioproducts. Temperature and nitrogen supply are important environmental and nutritional factors affecting the growth and metabolism of microalgae, respectively. In this study, the growth and lipid accumulation of filamentous microalgae Xanthonema hormidioides under different temperatures (5, 7, 10, 15, 20, 25, 27 and 30 °C) and initial nitrogen concentrations (3, 9, 18 mM) were investigated, and its adaptive mechanisms of tolerance to low temperature and nitrogen stress were analysis by proteomics.
Recent advancements in immunotherapy are revolutionizing the landscape of clinical immuno-oncology and have significantly increased patient survival in a range of cancers. Notably, immune checkpoint blockade therapies have induced durable responses and provided tremendous clinical benefits to previously untreatable patients. However, unleashing immune system against cancer also disrupts the immunologic homeostasis and induce inflammatory responses, resulting immune-related adverse events. The precise mechanisms underlying immune-related adverse events (irAEs) remain unknown. Furthermore, it is unclear why immune checkpoint blockade therapies only induce irAEs in some patients but not the others. In this study, we systematically characterize the functional impacts of immune checkpoint blockade on the patient immune system at single-cell resolution.
Methods
The peripheral blood mononuclear cells (PBMCs) from seven cancer patients with melanoma, non-small cell lung cancer, or colon cancer (MSI-H) receiving immune checkpoint inhibitors (CPIs), i.e. anti–PD-1+anti-CTLA4 combo or anti-PD-1 single agent, were collected at three serial time points (T1, T2, and T3). During the immunotherapy, four patients developed irAEs, including colitis (2X), pneumonitis (1), hyper/hypothyroidism (1), while three patients showed no signs of irAEs. In total, we generated and characterized single cell gene expression profiles for more than 65,000 cells from 21 PBMC libraries. Furthermore, we simultaneously measured TCR and BCR from nine selected samples, thus generating a comprehensive profile of Immune repertoire upon CPIs.
Results
We systematically characterized T cells, B cells, monocytes, NK cells, and platelets from PBMCs. Both checkpoint blockade and patient comorbidity affect PBMC populations. We found that irAEs are often associated with an acute increase in monocytes and decrease in T cells. After repeated CPI treatment, PBMC populations remained relatively stable. We characterized specific subsets within each cell type that are associated with CPI treatment as well as patient clinical conditions, and identified signature genes for each subset. For example, Mucosal-Associated Invariant CD8 T cells were strongly enriched in the PBMC population of the colon cancer patient. In the melanoma patient who received anti–PD-1+anti-CTLA4 combo but didn't develop colitis, we found enriched NK cell subsets expressing chemokine such as XCL1 and CCL4. Furthermore, we found prominent T cell clonal expansion in this patient compared to the two melanoma patients who developed colitis. The administration of steroids after irAEs led to massive anti-inflammatory responses in PMBCs, often characterized by the prominent expression of AREG.
Conclusions
Our study characterized the functional impact of CPIs on patient PBMCs. Our data demonstrated that single cell RNA sequencing provides a powerful tool to dissect and identify clinically actionable biomarkers for response prediction and side effects alleviation in patients receiving immunotherapy in the era of precision medicine.
Ethics Approval
This study was approved by the Institutional Review Board (#1050678) at Intermountain Healthcare (Salt Lake City, UT USA)
RNA modification, including m6A, m5C, m1A, and m7G, participated in tumor progress. Therefore, the purpose of the present study was to explore the role of m6A/m5C/m1A/m7G regulatory genes in the prognosis and tumor microenvironment (TME) for hepatocellular carcinoma (HCC).71 m6A/m5C/m1A/m7G regulatory genes expression for HCC was detected, differentially expressed genes were screened, and molecular forms were classified by unsupervised consensus clustering. Cox regression and the Least Absolute Shrinkage and Selection Operator (LASSO) analysis were applied to establish a prognostic signature. Time-dependent receiver operating characteristic (ROC) curves were evaluated for clinical effectiveness and accuracy of the prognostic hazard model. In cluster subtypes and risk models, the differences in prognosis, immune cell infiltration, immune checkpoint, immunotherapy, and drug sensitivity between different subtypes were evaluated.HCC patients were classified into two clusters (cluster 1 and cluster 2) according to the expression of 71 m6A/m5C/m1A/m7G regulatory genes. Cluster 1 had a poor prognosis and different immune cell infiltration. Cluster 1 had higher immune checkpoint expression and TIDE score than cluster 2. Subsequently, we construct a five-gene prognostic model of m6A/m5C/m1A/m7G regulatory genes (YTHDF2, YTHDF1,YBX1, TRMT61A, TRMT10C). The Kaplan-Meier and ROC curve analysis showed that the prognostic signature exhibited good predictability. The risk score was considered an independent poor prognostic index. The high-risk group had higher immune checkpoint expression and higher TIDE scores. 5-Fluorouracil, docetaxel, doxorubicin, etoposide, gemcitabine, paclitaxel, sorafenib, and vinblastine were more suitable for high-risk patients. ECM receptor interaction, cell cycle, and Leishmania infection were enriched in the high-risk group.The clustering subgroups and prognostic model of m6A/m5C/m1A/m7G regulatory genes were linked with bad prognosis and TME for HCC, and had the potential to be a novel tool to evaluate the outcomes of HCC patients.
In this paper, we propose a novel "Disruption and Fusion Learning" (DFL) method to improve the accuracy of fine-grained image recognition and acquire "sharp eyes" by training the classification model. As the first step of our method, a shuffled image is acquired by controllable shuffling, that is, replacing the block matrix of the original image in a controllable range. This step destructs global structure information in the image but retain local details, forcing the model network to focus on the distinguishing local areas to get useful local feature information for recognition. At the same time, global feature information is extracted by the original image with the same structure network. Those two steam of feature later are computed by knowledge distillation part, which distills and concentrates the features both from the original image and the shuffled image to obtain effective features that help improve the recognition rate of the model. By conducting experiments on three widely used fine-grained image recognition datasets (CUB-200-2011, Stanford Cars, Stanford Dogs), our method achieves state-of-the-art performance.
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