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Article: [Current status and challenges of clinical trial on adenocarcinoma of esophagogastric junction].

Zhou, Yanbing

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery

2019 Volume 22, Issue 2, Page(s) 112–118

Abstract: The incidence of adenocarcinoma of esophagogastric junction (AEG) has been increasing in recent years and has become a major health problem worldwide. The completed phase III clinical trials have revealed that perioperative chemotherapy and ... ...

Abstract	The incidence of adenocarcinoma of esophagogastric junction (AEG) has been increasing in recent years and has become a major health problem worldwide. The completed phase III clinical trials have revealed that perioperative chemotherapy and radiochemotherapy can significantly improve prognosis and reduce local recurrence in patients with locally advanced AEG. The sudden emergence of targeted therapy and immunotherapy based on chemotherapy has showed a broad prospect. The location and gross type of tumors can provide valuable information for clinical decision making. Siewert classification is widely used in the world, which is helpful to the choice of the best surgical method. Partial gastrectomy and subtotal esophagectomy with thorough mediastinal lymph node dissection via right thorax approach and total gastrectomy with abdominal lymph node dissection are suitable for Siewert types I and III respectively. There is no consensus on the scope of lymph node dissection in Siewert type II procedure and further research is needed. In addition, regarding the rule of abdominal aortic lymph node metastasis and whether it is necessary to clean the para-aortic lymph nodes in patients with AEG, further research is still required.
MeSH term(s)	Adenocarcinoma/pathology ; Adenocarcinoma/therapy ; Combined Modality Therapy ; Esophageal Neoplasms/pathology ; Esophageal Neoplasms/therapy ; Esophagectomy ; Esophagogastric Junction ; Gastrectomy ; Humans ; Lymph Node Excision ; Prognosis ; Stomach Neoplasms/pathology ; Stomach Neoplasms/therapy
Language	Chinese
Publishing date	2019-02-16
Publishing country	China
Document type	Clinical Trial, Phase III ; Journal Article
ISSN	1671-0274
ISSN	1671-0274
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Article ; Online: Integrative cross-species analysis reveals conserved and unique signatures in fatty skeletal muscles.

Wang, Liyi / Zhou, Yanbing / Wang, Yizhen / Shan, Tizhong

Scientific data

2024 Volume 11, Issue 1, Page(s) 290

Abstract: Fat infiltration in skeletal muscle is now recognized as a standard feature of aging and is directly related to the decline in muscle function. However, there is still a limited systematic integration and exploration of the mechanisms underlying the ... ...

Abstract	Fat infiltration in skeletal muscle is now recognized as a standard feature of aging and is directly related to the decline in muscle function. However, there is still a limited systematic integration and exploration of the mechanisms underlying the occurrence of myosteatosis in aging across species. Here, we re-analyzed bulk RNA-seq datasets to investigate the association between fat infiltration in skeletal muscle and aging. Our integrated analysis of single-nucleus transcriptomics in aged humans and Laiwu pigs with high intramuscular fat content, identified species-preference subclusters and revealed core gene programs associated with myosteatosis. Furthermore, we found that fibro/adipogenic progenitors (FAPs) had potential capacity of differentiating into PDE4D
MeSH term(s)	Aged ; Animals ; Humans ; Adipogenesis/physiology ; Aging ; Cell Differentiation ; Muscle, Skeletal/physiology ; Swine ; Datasets as Topic ; RNA-Seq ; Transcriptome ; Adipocytes ; Stem Cells
Language	English
Publishing date	2024-03-12
Publishing country	England
Document type	Journal Article
ZDB-ID	2775191-0
ISSN	2052-4463 ; 2052-4463
ISSN (online)	2052-4463
ISSN	2052-4463
DOI	10.1038/s41597-024-03114-5
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Article: The relationship between gastric microbiome features and responses to neoadjuvant chemotherapy in gastric cancer.

Zhang, Peng / Xu, Jianfei / Zhou, Yanbing

Frontiers in microbiology

2024 Volume 15, Page(s) 1357261

Abstract: Background: Emerging evidence demonstrates that the gastrointestinal microbiome has the potential to be a biomarker in neoadjuvant chemoradiotherapy for colorectal cancer (CRC). Yet studies on the impact of the gastric microbiome (GM) on the response to ...

Abstract	Background: Emerging evidence demonstrates that the gastrointestinal microbiome has the potential to be a biomarker in neoadjuvant chemoradiotherapy for colorectal cancer (CRC). Yet studies on the impact of the gastric microbiome (GM) on the response to neoadjuvant chemotherapy (NACT) are still scarce. Methods: Forty-eight patients with gastric cancer participated in this retrospective study, and 16S rRNA sequencing was performed to evaluate formalin-fixed and paraffin-embedded (FFPE) tissue biospecimens and fresh-frozen tissues. Results: In this study, 16 bacterial taxa at different levels, including Conclusion: There are differences in the features of the GM for different NACT response results. The causal relationship deserves to be confirmed by further investigations.
Language	English
Publishing date	2024-04-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587354-4
ISSN	1664-302X
ISSN	1664-302X
DOI	10.3389/fmicb.2024.1357261
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Article: Lung cancer organoids: models for preclinical research and precision medicine.

Liu, Yajing / Zhou, Yanbing / Chen, Pu

Frontiers in oncology

2023 Volume 13, Page(s) 1293441

Abstract: Lung cancer is a malignancy with high incidence and mortality rates globally, and it has a 5-year survival rate of only 10%-20%. The significant heterogeneity in clinical presentation, histological features, multi-omics findings, and drug sensitivity ... ...

Abstract	Lung cancer is a malignancy with high incidence and mortality rates globally, and it has a 5-year survival rate of only 10%-20%. The significant heterogeneity in clinical presentation, histological features, multi-omics findings, and drug sensitivity among different lung cancer patients necessitate the development of personalized treatment strategies. The current precision medicine for lung cancer, primarily based on pathological and genomic multi-omics testing, fails to meet the needs of patients with clinically refractory lung cancer. Lung cancer organoids (LCOs) are derived from tumor cells within tumor tissues and are generated through three-dimensional tissue culture, enabling them to faithfully recapitulate
Language	English
Publishing date	2023-10-24
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2023.1293441
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Article: [Era of enhanced recovery after surgery and robotic gastric cancer surgery].

Zhou, Yanbing

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery

2017 Volume 20, Issue 5, Page(s) 495–499

Abstract: Enhanced recovery after surgery (ERAS) has been rapidly developing by combining several techniques with evidence-based adjustments, including preoperative education, preoperative carbohydrate loading, epidural or regional anesthesia, early initiation of ... ...

Abstract	Enhanced recovery after surgery (ERAS) has been rapidly developing by combining several techniques with evidence-based adjustments, including preoperative education, preoperative carbohydrate loading, epidural or regional anesthesia, early initiation of enteral nutrition, ambulation and multi-modal pain management. The core part of ERAS is to reduce and reverse surgical stress and therefore greatly improve clinical outcome. Under the guidance of ERAS, perioperative management of robotic gastric cancer operation should follow the basic principles of ERAS and clinical pathway to maximize the advantages of the robotic surgery. ERAS protocol is safe and feasible for patients undergoing robotic radical gastrectomy and it can reduce surgical stress, shorten hospital stay, improve quality of life and does not increase complications, whose mechanism may be associated with the reduction of inflammation and insulin resistance, the decrease of resting energy exposure, and the protection of mitochondria function. It is worth emphasizing that it is very important to fully understand the changes of pathophysiology during perioperative period, to strictly implement the ERAS pathway based on optimized evidence-based medicine, to cooperate closely with the multidisciplinary team, to observe and manage the postoperative complications dynamically by systemic classification. The improvement of ERAS program on the outcome of patients should be summarized regularly and the new interventional strategies should be evaluated further according to the international standard.
MeSH term(s)	Anesthesia, Epidural ; Anesthesia, Local ; Convalescence ; Critical Pathways ; Enteral Nutrition ; Gastrectomy/instrumentation ; Gastrectomy/methods ; Gastrectomy/rehabilitation ; Humans ; Length of Stay ; Pain Management ; Patient Education as Topic ; Postoperative Care/methods ; Postoperative Care/standards ; Postoperative Complications/prevention & control ; Preoperative Care ; Quality of Life ; Recovery of Function ; Robotic Surgical Procedures/rehabilitation ; Stomach Neoplasms/surgery
Language	Chinese
Publishing date	2017-05-25
Publishing country	China
Document type	Journal Article
ISSN	1671-0274
ISSN	1671-0274
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Article ; Online: The Effects of Probiotics/Synbiotics on Glucose and Lipid Metabolism in Women with Gestational Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trials.

Mu, Jinhao / Guo, Xian / Zhou, Yanbing / Cao, Guoxia

Nutrients

2023 Volume 15, Issue 6

Abstract: Background: Gestational diabetes mellitus (GDM) is prevalent with lasting health implications for the mother and offspring. Medical therapy is the foundation of GDM management, for achieving optimal glycemic control often requires treatment with insulin ...

Abstract	Background: Gestational diabetes mellitus (GDM) is prevalent with lasting health implications for the mother and offspring. Medical therapy is the foundation of GDM management, for achieving optimal glycemic control often requires treatment with insulin or metformin. Gut dysbiosis is a feature of GDM pregnancies, therefore, dietary manipulation of the gut microbiota may offer a new avenue for management. Probiotics are a relatively new intervention, which can reduce the mother's blood sugar levels and, furthermore, adjust glucose and lipid metabolism in both mother and offspring. Objective: The aim of this systematic review and meta-analysis is to explore the effect of probiotics/synbiotics on glucose and lipid metabolism in women with GDM. Methods: A systematic search of the literature was conducted using the electronic databases Cochrane Library, Web of Science, PubMed, and EBOSCO, published between 1 January 2012 and 1 November 2022. A total of 11 randomized controlled clinical trials (RCTs) were analyzed. The indicators included fasting plasma glucose (FPG), fasting serum insulin (FSI), the homoeostatic model assessment for insulin resistance (HOMA-IR), quantitative insulin sensitivity check index (QUICKI), total cholesterol (TC), HDL cholesterol, LDL cholesterol and triglycerides (TG), the mean weight at end of trial, and gestational weight gain (GWG). Results: Compared with the placebo, probiotics/synbiotics were associated with a statistically significant improvement in FPG (MD = -2.33, 95% CI = -4.27, -0.40, Conclusion: Probiotics/synbiotics could control glucose and lipid metabolism in pregnant women with GDM. There was a significant improvement in FPG, FSI, HOMA-IR, and TC. The use of specific probiotic supplementation may be a promising prevention and therapeutic strategy for GDM. However, due to the heterogeneity among existing studies, further studies are warranted to address the limitations of existing evidence and better inform the management of GDM.
MeSH term(s)	Pregnancy ; Female ; Humans ; Diabetes, Gestational/therapy ; Synbiotics ; Glucose ; Blood Glucose/metabolism ; Randomized Controlled Trials as Topic ; Probiotics/therapeutic use ; Insulin ; Insulin Resistance ; Cholesterol, HDL/metabolism ; Lipid Metabolism
Chemical Substances	Glucose (IY9XDZ35W2) ; Blood Glucose ; Insulin ; Cholesterol, HDL
Language	English
Publishing date	2023-03-12
Publishing country	Switzerland
Document type	Systematic Review ; Meta-Analysis ; Journal Article ; Review
ZDB-ID	2518386-2
ISSN	2072-6643 ; 2072-6643
ISSN (online)	2072-6643
ISSN	2072-6643
DOI	10.3390/nu15061375
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Article ; Online: Conjugated linoleic acids inhibit lipid deposition in subcutaneous adipose tissue and alter lipid profiles in serum of pigs.

Wang, Liyi / Zhang, Shu / Huang, Yuqin / Zhou, Yanbing / Shan, Tizhong

Journal of animal science

2023 Volume 101

Abstract: Conjugated linoleic acids (CLAs) have served as a nutritional strategy to reduce fat deposition in adipose tissues of pigs. However, the effects of CLAs on lipid profiles in serum and how these lipid molecules regulate fat deposition are still unclear. ... ...

Abstract	Conjugated linoleic acids (CLAs) have served as a nutritional strategy to reduce fat deposition in adipose tissues of pigs. However, the effects of CLAs on lipid profiles in serum and how these lipid molecules regulate fat deposition are still unclear. In this study, we explored the effects of CLAs on regulating lipid deposition in adipose tissues in terms of lipid molecules and microbiota based on a Heigai pig model. A total of 56 Heigai finishing pigs (body weight: 85.58 ± 10.39 kg) were randomly divided into two treatments and fed diets containing 1% soyabean oil or 1% CLAs for 40 d. CLAs reduced fat deposition and affected fatty acids composition in adipose tissues of Heigai pigs via upregulating the expression of the lipolytic gene (hormone-sensitive lipase, HSL) in vivo and in vitro. CLAs also altered the biochemical immune indexes including reduced content of total cholesterol (TChol), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C) and changed lipids profiles including decreased sphingolipids especially ceramides (Cers) and sphingomyelins (SMs) in serum of Heigai pigs. Mechanically, CLAs may decrease peroxisome proliferator-activated receptorγ (PPARγ) expression and further inhibit adipogenic differentiation in adipose tissues of pigs by suppressing the function of Cers in serum. Furthermore, Pearson's correlation analysis showed HSL expression was positively related to short-chain fatty acids (SCFAs) in the gut (P ≤ 0.05) but the abundance of Cers was negatively related to the production and functions of SCFAs (P ≤ 0.05). CLAs altered the distribution of the lipid in serum and inhibited adipogenic differentiation by suppressing the function of Cers and further decreasing PPARγ expression in adipose tissues of Heigai pigs. Besides, the HSL expression and the abundance of Cers are associated with the production and functions of SCFAs in the gut.
MeSH term(s)	Swine ; Animals ; Linoleic Acids, Conjugated/pharmacology ; Linoleic Acids, Conjugated/metabolism ; PPAR gamma/genetics ; PPAR gamma/metabolism ; Adipose Tissue/metabolism ; Subcutaneous Fat/metabolism ; Fatty Acids/metabolism ; Lipid Metabolism
Chemical Substances	Linoleic Acids, Conjugated ; PPAR gamma ; Fatty Acids
Language	English
Publishing date	2023-08-29
Publishing country	United States
Document type	Randomized Controlled Trial, Veterinary ; Journal Article
ZDB-ID	390959-1
ISSN	1525-3163 ; 0021-8812
ISSN (online)	1525-3163
ISSN	0021-8812
DOI	10.1093/jas/skad294
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Article ; Online: ASO Author Reflections: Deep-Learning Radiomics Nomogram Based on Enhanced CT to Predict the Effect of Neoadjuvant Chemotherapy on Metastatic Lymph Nodes in Locally Advanced Gastric Cancer.

Zhong, Hao / Wang, Tongyu / Liu, Xiaodong / Tian, Yulong / Zhou, Yanbing

Annals of surgical oncology

2023 Volume 31, Issue 1, Page(s) 454–455

MeSH term(s)	Humans ; Nomograms ; Stomach Neoplasms/diagnostic imaging ; Stomach Neoplasms/drug therapy ; Stomach Neoplasms/pathology ; Neoadjuvant Therapy ; Deep Learning ; Lymph Nodes/diagnostic imaging ; Lymph Nodes/pathology ; Tomography, X-Ray Computed ; Retrospective Studies
Language	English
Publishing date	2023-11-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1200469-8
ISSN	1534-4681 ; 1068-9265
ISSN (online)	1534-4681
ISSN	1068-9265
DOI	10.1245/s10434-023-14508-x
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Article ; Online: Design of a Smart Art Classroom System Based on Internet of Things.

Guo, Binbin / Kou, Heung / Zhou, Yanbing

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 9257827

Abstract: With the rapid development of the Internet of Things and to improve the teaching efficiency of the art classroom, a smart art classroom system based on the Internet of Things is proposed, which can effectively assist in teaching. First, we give the ... ...

Abstract	With the rapid development of the Internet of Things and to improve the teaching efficiency of the art classroom, a smart art classroom system based on the Internet of Things is proposed, which can effectively assist in teaching. First, we give the general design of the smart art classroom, including the composition of the hardware and software, and the construction method of the application system. Based on existing technologies such as RFID, smart camera, smart voice, smart terminal, and smart screen interaction, an all-around smart art classroom is constructed. Further, we present the design of an intelligent camera-based classroom assistance system based on face detection and facial expression recognition, which can effectively determine the status of students in class and can be used to assist in reminding teachers of their teaching tasks. Among them, face detection and facial expression recognition algorithms are designed based on different convolutional neural network architectures. Finally, experimental data sets are constructed to verify the accuracy of the used algorithms. The experimental results show that the detection accuracy of classroom faces is better than 95% and the accuracy of expression recognition is 88%, which can meet the application needs of intelligent art classrooms.
MeSH term(s)	Algorithms ; Humans ; Intelligence ; Internet ; Internet of Things ; Software ; Students
Language	English
Publishing date	2022-04-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/9257827
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Article ; Online: Music Feature Extraction Method Based on Internet of Things Technology and Its Application.

Chen, Bo / Kou, Heung / Hou, Bowen / Zhou, Yanbing

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 8615152

Abstract: Due to the influence of factors such as strong music specialization, complex music theory knowledge, and various variations, it is difficult to identify music features. We have developed a music characteristic identification system using the Internet- ... ...

Abstract	Due to the influence of factors such as strong music specialization, complex music theory knowledge, and various variations, it is difficult to identify music features. We have developed a music characteristic identification system using the Internet-based method. The physical sensing layer of our designed system deploys audio sensors on various coordinates to capture the raw audio signal and performs audio signal processing and analysis using the TMS320VC5402 digital signal processor; the Internet transport layer places audio sensors at various locations to capture the raw audio signal. The TMS320VC5402 digital signal processor is used for audio signal diagnosis and treatment. The network transport layer transmits the finished audio signal to the data base of song signal in the application layer of the system; the song characteristic analysis block in the application layer adopts dynamics. The music characteristic analysis block in the applied layer adopts dynamic time warping algorithm to acquire the maximal resemblance between the test template and the reference template to achieve music signal characteristic identification and identify music tunes and music modes based on the identification results. The application layer music feature analysis block adopts dynamic time regularization algorithm and mel-frequency cepstrum coefficient to achieve music signal feature recognition and identify music tunes and music patterns based on the recognition results. We have verified through experiments, and the results show that the system operates consistently, can obtain high-quality music samples, and can extract good music characteristics.
MeSH term(s)	Algorithms ; Internet ; Internet of Things ; Music ; Technology
Language	English
Publishing date	2022-04-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/8615152
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