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  1. Article: Bing de ling, a Chinese herbal formula, stimulates multifaceted immunologic responses in mice.

    Niu, G / Tan, J / Turner, J G / Brabham, J G / Burdelya, L G / Crucian, B E / Wall-Apelt, H / Zhao, R J / Yu, H

    DNA and cell biology

    2000  Volume 19, Issue 8, Page(s) 515–520

    Abstract: Bing de ling is a Chinese herbal formula most commonly used in complementary medical settings ... against viral disorders. We have found that bing de ling potentiates upregulation of immune activity ... with bing de ling's clinically observed efficacy against viruses and identify the formula as a promising ...

    Abstract Bing de ling is a Chinese herbal formula most commonly used in complementary medical settings against viral disorders. We have found that bing de ling potentiates upregulation of immune activity when administered to mice in dosages proportional to those used clinically. These mice demonstrated significant elevation of interleukin-2 (IL-2) and interferon-gamma (IFN-gamma) production in splenocytes and enhancement of macrophage, natural killer cell, and lymphokine-activated killer cell cytotoxicity. These data are consistent with bing de ling's clinically observed efficacy against viruses and identify the formula as a promising candidate for clinical trials against diverse diseases that may respond to increased immunologic activity.
    MeSH term(s) Adjuvants, Immunologic/pharmacology ; Animals ; Antiviral Agents/pharmacology ; Cytotoxicity, Immunologic/drug effects ; Drugs, Chinese Herbal/pharmacology ; Enzyme-Linked Immunosorbent Assay ; Female ; Interferon-gamma/biosynthesis ; Interleukin-2/biosynthesis ; Killer Cells, Lymphokine-Activated/drug effects ; Killer Cells, Natural/drug effects ; Macrophages, Peritoneal/drug effects ; Mice ; Mice, Inbred BALB C ; Spleen/cytology ; Spleen/drug effects ; Tumor Cells, Cultured
    Chemical Substances Adjuvants, Immunologic ; Antiviral Agents ; Drugs, Chinese Herbal ; Interleukin-2 ; Interferon-gamma (82115-62-6)
    Language English
    Publishing date 2000-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1024454-2
    ISSN 1557-7430 ; 1044-5498 ; 0198-0238
    ISSN (online) 1557-7430
    ISSN 1044-5498 ; 0198-0238
    DOI 10.1089/10445490050128449
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Advancement of Technology for Precision Medicine.

    Niu, Bing

    Current pharmaceutical design

    2020  Volume 25, Issue 40, Page(s) 4221–4222

    MeSH term(s) Biomedical Technology/trends ; Coronary Artery Disease ; Humans ; Luminescent Proteins ; Neoplasms/therapy ; Oncolytic Virotherapy ; Precision Medicine/trends ; Renal Insufficiency, Chronic
    Chemical Substances Luminescent Proteins
    Language English
    Publishing date 2020-01-05
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 1304236-1
    ISSN 1873-4286 ; 1381-6128
    ISSN (online) 1873-4286
    ISSN 1381-6128
    DOI 10.2174/138161282540191230093056
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Advancement of Technology for Drug Discovery and Development - Part I.

    Niu, Bing

    Current topics in medicinal chemistry

    2020  Volume 19, Issue 31, Page(s) 2829–2830

    MeSH term(s) Alzheimer Disease/drug therapy ; Anesthesia ; Biological Products ; Diabetes Mellitus, Type 2/drug therapy ; Drug Development ; Drug Discovery ; Humans ; Neoplasms/drug therapy
    Chemical Substances Biological Products
    Language English
    Publishing date 2020-01-10
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 2064823-6
    ISSN 1873-4294 ; 1568-0266
    ISSN (online) 1873-4294
    ISSN 1568-0266
    DOI 10.2174/156802661931200103184107
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Advancement of Technology for Drug Discovery and Development - Part II.

    Niu, Bing

    Current topics in medicinal chemistry

    2020  Volume 20, Issue 1, Page(s) 3

    MeSH term(s) Alzheimer Disease/drug therapy ; Anesthetics ; Biological Products ; Diabetes Mellitus/drug therapy ; Drug Development/methods ; Drug Discovery/methods ; Humans ; Peripheral Arterial Disease/drug therapy
    Chemical Substances Anesthetics ; Biological Products
    Language English
    Publishing date 2020-01-29
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 2064823-6
    ISSN 1873-4294 ; 1568-0266
    ISSN (online) 1873-4294
    ISSN 1568-0266
    DOI 10.2174/156802662001200122123740
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Differences in Biofilm Formation of

    Yang, Yujuan / Kong, Xiangxiang / Niu, Bing / Yang, Jielin / Chen, Qin

    Foods (Basel, Switzerland)

    2024  Volume 13, Issue 7

    Abstract: ... Listeria ... ...

    Abstract Listeria monocytogenes
    Language English
    Publishing date 2024-04-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods13071076
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Prognostic and clinicopathological effect of the prognostic nutritional index (PNI) in patients with cervical cancer: a meta-analysis.

    Niu, Zheng / Yan, Bing

    Annals of medicine

    2023  Volume 55, Issue 2, Page(s) 2288705

    Abstract: Background: Numerous studies have explored whether the prognostic nutritional index (PNI) can predict the prognosis of cervical cancer (CC); however, their findings remain controversial. This meta-analysis focused on evaluating the relationship between ... ...

    Abstract Background: Numerous studies have explored whether the prognostic nutritional index (PNI) can predict the prognosis of cervical cancer (CC); however, their findings remain controversial. This meta-analysis focused on evaluating the relationship between the PNI and the prognosis of patients with CC.
    Methods: Relevant articles were collected from specific databases up to March 16, 2023. The relationship between the PNI and survival outcomes in patients with CC was estimated using combined hazard ratios (HRs) and associated 95% confidence intervals (CIs). The association of the PNI with clinicopathological features in patients with CC was assessed by combining odds ratios (ORs) and associated 95% CIs.
    Results: Nine articles with 2508 cases were included in the meta-analysis. According to our pooled findings, a decreased PNI showed a significant association with worse overall survival (OS) (HR = 2.98, 95% CI = 2.22-3.99,
    Conclusion: In this study, a low PNI predicted dismal OS and PFS in patients with CC, who also tend to suffer from LN metastasis and larger tumor size. PNI is a promising biomarker for predicting the prognosis of patients with CC in clinical practice.
    MeSH term(s) Female ; Humans ; Prognosis ; Nutrition Assessment ; Uterine Cervical Neoplasms/diagnosis ; Biomarkers ; Progression-Free Survival
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-12-01
    Publishing country England
    Document type Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1004226-x
    ISSN 1365-2060 ; 1651-2219 ; 0785-3890 ; 1743-1387
    ISSN (online) 1365-2060 ; 1651-2219
    ISSN 0785-3890 ; 1743-1387
    DOI 10.1080/07853890.2023.2288705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A Network Medical Framework based on Inflammatory Genes to Identify Drug Candidates for Abdominal Aortic Aneurysms.

    Niu, Xiaoyang / Wang, Bing

    Current molecular pharmacology

    2023  Volume 17, Issue 1, Page(s) e170523216998

    Abstract: Background: Clinically, abdominal aortic aneurysms (AAA) can be treated with surgical intervention, but there is currently no effective drug for the disease.: Methods: This study analyzed the biomedical data of single-cell RNA sequencing (scRNA-seq), ...

    Abstract Background: Clinically, abdominal aortic aneurysms (AAA) can be treated with surgical intervention, but there is currently no effective drug for the disease.
    Methods: This study analyzed the biomedical data of single-cell RNA sequencing (scRNA-seq), RNA-seq and the network medical data of drug-target interaction as well as protein-protein interaction to identify key targets and potential drug compounds of AAA.
    Results: Firstly, we identified 10 types of cells from AAA and nonaneurysmal control samples and screened monocyte, mast cell, smooth muscle cell and 327 genes showing significant differences between non-dilated PVATs and dilated PVATs. To further explore the association of three types of cells in AAA, we screened the common DEGs associated with the three types of cells and then identified 10 potential therapeutic targets for AAA. SLC2A3 and IER3 were the key targets that were the most closely related to immune score and significantly related to inflammatory pathways. We then designed a network-based proximity measure to identify potential drugs targeting SLC2A3. Finally, with computer simulation, we found that the compound with the highest affinity to SLC2A3 protein was DB08213, which was embedded into the SLC2A3 protein cavity and formed close contact with various amino acid residues, and was stable during the 100-ns MD simulation.
    Conclusion: This study provided a computational framework for drug design and development. It revealed key targets and potential therapeutic drug compounds for AAA, which might contribute to the drug development for AAA.
    MeSH term(s) Humans ; Computer Simulation ; Glucose Transporter Type 3 ; Aortic Aneurysm, Abdominal/drug therapy ; Aortic Aneurysm, Abdominal/genetics ; Drug Delivery Systems ; Drug Design
    Chemical Substances Glucose Transporter Type 3
    Language English
    Publishing date 2023-05-17
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1874-4702
    ISSN (online) 1874-4702
    DOI 10.2174/1874467217666230517104426
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Precision Medicine on Chronic Disease Incorporating Experimental and Computational Biology.

    Niu, Bing

    Current pharmaceutical design

    2019  Volume 24, Issue 34, Page(s) 3989

    MeSH term(s) Chronic Disease ; Computational Biology ; Diabetes Mellitus/diagnosis ; Diabetes Mellitus/drug therapy ; Humans ; Precision Medicine
    Language English
    Publishing date 2019-02-04
    Publishing country United Arab Emirates
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 1304236-1
    ISSN 1873-4286 ; 1381-6128
    ISSN (online) 1873-4286
    ISSN 1381-6128
    DOI 10.2174/138161282434190117093652
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Grafting Block Copolymer Nanoparticles to a Surface via Aqueous Photoinduced Polymerization-induced Self-Assembly at Room Temperature.

    Niu, Bing / Huang, Honggao / Zhang, Li / Tan, Jianbo

    ACS macro letters

    2024  , Page(s) 577–585

    Abstract: The creation of well-defined surface nanostructures is important for a diverse set of applications such as cell adhesion, superhydrophobic coating, and lithography. In this study, we describe a robust bottom-up method for surface functionalization that ... ...

    Abstract The creation of well-defined surface nanostructures is important for a diverse set of applications such as cell adhesion, superhydrophobic coating, and lithography. In this study, we describe a robust bottom-up method for surface functionalization that involves surface-initiated reversible deactivation radical polymerization (RDRP) and the grafting of block copolymer nanoparticles to material surfaces via aqueous photoinduced polymerization-induced self-assembly (photo-PISA) at room temperature. Using silica nanoparticles as a model substrate, colloidal mesoscale hybrid assemblies with various morphologies were successfully prepared. The morphologies can be easily tuned by changing the lengths of macromolecular chain transfer agents and parameters of the silica nanoparticles. The surface-initiated photo-PISA approach can also be employed for other large-scale substrates such as silicon wafer. Taking advantage of mild reaction conditions of this method (room temperature, aqueous medium, and visible light), enzymatic deoxygenation was introduced to develop oxygen-tolerant surface-initiated photo-PISA that can fabricate well-defined nanostructures on large-scale substrates under open-to-air conditions.
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article
    ISSN 2161-1653
    ISSN (online) 2161-1653
    DOI 10.1021/acsmacrolett.4c00098
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Prognostic and clinicopathological impacts of Controlling Nutritional Status (CONUT) score on patients with gynecological cancer: a meta-analysis.

    Niu, Zheng / Yan, Bing

    Nutrition journal

    2023  Volume 22, Issue 1, Page(s) 33

    Abstract: Background: The Controlling Nutritional Status (CONUT) score has proven to be a potential biomarker for determining the prognosis of patients with various types of cancer. Its value in determining the prognosis of patients with gynecological cancer, ... ...

    Abstract Background: The Controlling Nutritional Status (CONUT) score has proven to be a potential biomarker for determining the prognosis of patients with various types of cancer. Its value in determining the prognosis of patients with gynecological cancer, however, remains unknown. The present study was a meta-analysis that aimed to evaluate the prognostic and clinicopathological significance of the CONUT score in gynecological cancer.
    Methods: The Embase, PubMed, Cochrane Library, Web of Science, and China National Knowledge Infrastructure databases were comprehensively searched through November 22, 2022. A pooled hazard ratio (HR), together with a 95% confidence interval (CI), was used to determine whether the CONUT score had prognostic value in terms of survival outcomes. Using odds ratios (ORs) and 95% CIs, we estimated the relationship between the CONUT score and clinicopathological characteristics of gynecological cancer.
    Results: We evaluated 6 articles, involving a total of 2,569 cases, in the present study. According to the results of our analyses, higher CONUT scores were significantly correlated with decreased overall survival (OS) (n = 6; HR = 1.52; 95% CI = 1.13-2.04; P = 0.006; I2 = 57.4%; Ph = 0.038) and progression-free survival (PFS) (n = 4; HR = 1.51; 95% CI = 1.25-1.84; P < 0.001; I2 = 0; Ph = 0.682) in gynecological cancer. Moreover, higher CONUT scores were significantly correlated with a histological grade of G3 (n = 3; OR = 1.76; 95% CI = 1.18-2.62; P = 0.006; I2 = 0; Ph = 0.980), a tumor size ≥ 4 cm (n = 2; OR = 1.50; 95% CI = 1.12-2.01; P = 0.007; I2 = 0; Ph = 0.721), and an advanced International Federation of Gynecology and Obstetrics (FIGO) stage (n = 2; OR = 2.52; 95% CI = 1.54-4.11; P < 0.001; I2 = 45.5%; Ph = 0.175). The correlation between the CONUT score and lymph node metastasis, however, was not significant.
    Conclusions: Higher CONUT scores were significantly correlated with decreased OS and PFS in gynecological cancer. The CONUT score, therefore, is a promising and cost-effective biomarker for predicting survival outcomes in gynecological cancer.
    MeSH term(s) Humans ; Prognosis ; Nutritional Status ; Neoplasms ; Retrospective Studies ; Proportional Hazards Models
    Language English
    Publishing date 2023-07-08
    Publishing country England
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 2091602-4
    ISSN 1475-2891 ; 1475-2891
    ISSN (online) 1475-2891
    ISSN 1475-2891
    DOI 10.1186/s12937-023-00863-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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