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Article ; Online: Rational design of ultra-small photoluminescent copper nano-dots loaded PLGA micro-vessels for targeted co-delivery of natural piperine molecules for the treatment for epilepsy.

Zhu, Dan / Zhang, Wei-Guang / Nie, Xue-Dan / Ding, Si-Wen / Zhang, Dong-Tai / Yang, Lei

Journal of photochemistry and photobiology. B, Biology

2020 Volume 205, Page(s) 111805

Abstract: In recent days, reported researches demonstrated that encapsulation of natural hydrophobic drug molecules (Piperine) into the biodegradable polymer system with nanoformulations opens a novel prospect in bio-nanomedicine field. Generally, the ... ...

Abstract	In recent days, reported researches demonstrated that encapsulation of natural hydrophobic drug molecules (Piperine) into the biodegradable polymer system with nanoformulations opens a novel prospect in bio-nanomedicine field. Generally, the nanostructured materials embedded with the drug molecules could render enhanced efficiency in therapies. Piperine is a chief alkaloid compound of natural black pepper exhibits excellent anti-convulsant efficiency in the anti-epileptic treatment. Nonetheless, the poor water solubility of the piperine molecules has some difficulties in drug delivery and clinical applications. Herein we report the synthesis of Copper oxide quantum dots coated Hyaluronic acid (HA)/ Poly(lactic-co-glycolic acid) (PLGA) with for the effective delivery of piperine in the targeted drug delivery for epilepsy treatment. The physicochemical characterization was performed using the as prepared material. The crystal structure, surface morphology and the elemental composition were investigated from XRD, SEM, TEM and EDX analyses respectively. The surface morphology clearly stated the loading of CuO QDs loaded HA/PLGA microspheres. The capping of the polymer matrix was also studied using FTIR analysis. A Photoluminescence spectrum is also recorded. This study was illustrating that Piperine loaded CuQDs@HA/PLGA nanostructures exhibit improved neuroprotection and encourage the activation of astrocytes in chemical kindling model of epilepsy. This proposed material could be a novel and effective therapeutic platform for the targeted drug delivery systems.
MeSH term(s)	Alkaloids/administration & dosage ; Alkaloids/chemistry ; Animals ; Anticonvulsants/administration & dosage ; Anticonvulsants/chemistry ; Benzodioxoles/administration & dosage ; Benzodioxoles/chemistry ; Cell Line ; Cell Survival/drug effects ; Copper/administration & dosage ; Copper/chemistry ; Drug Delivery Systems ; Drug Design ; Drug Liberation ; Epilepsy/chemically induced ; Epilepsy/drug therapy ; Humans ; Luminescence ; Male ; Pentylenetetrazole ; Piperidines/administration & dosage ; Piperidines/chemistry ; Polylactic Acid-Polyglycolic Acid Copolymer/administration & dosage ; Polylactic Acid-Polyglycolic Acid Copolymer/chemistry ; Polyunsaturated Alkamides/administration & dosage ; Polyunsaturated Alkamides/chemistry ; Quantum Dots/administration & dosage ; Quantum Dots/chemistry ; Rats, Wistar
Chemical Substances	Alkaloids ; Anticonvulsants ; Benzodioxoles ; Piperidines ; Polyunsaturated Alkamides ; Polylactic Acid-Polyglycolic Acid Copolymer (1SIA8062RS) ; Copper (789U1901C5) ; cuprous oxide (T8BEA5064F) ; piperine (U71XL721QK) ; Pentylenetetrazole (WM5Z385K7T)
Language	English
Publishing date	2020-01-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	623022-2
ISSN	1873-2682 ; 1011-1344
ISSN (online)	1873-2682
ISSN	1011-1344
DOI	10.1016/j.jphotobiol.2020.111805
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Article: Rational design of ultra-small photoluminescent copper nano-dots loaded PLGA micro-vessels for targeted co-delivery of natural piperine molecules for the treatment for epilepsy

Zhu, Dan / Zhang, Wei-guang / Nie, Xue-dan / Ding, Si-wen / Zhang, Dong-tai / Yang, Lei

Journal of photochemistry and photobiology. 2020 Apr., v. 205

2020

Abstract	In recent days, reported researches demonstrated that encapsulation of natural hydrophobic drug molecules (Piperine) into the biodegradable polymer system with nanoformulations opens a novel prospect in bio-nanomedicine field. Generally, the nanostructured materials embedded with the drug molecules could render enhanced efficiency in therapies. Piperine is a chief alkaloid compound of natural black pepper exhibits excellent anti-convulsant efficiency in the anti-epileptic treatment. Nonetheless, the poor water solubility of the piperine molecules has some difficulties in drug delivery and clinical applications. Herein we report the synthesis of Copper oxide quantum dots coated Hyaluronic acid (HA)/ Poly(lactic-co-glycolic acid) (PLGA) with for the effective delivery of piperine in the targeted drug delivery for epilepsy treatment. The physicochemical characterization was performed using the as prepared material. The crystal structure, surface morphology and the elemental composition were investigated from XRD, SEM, TEM and EDX analyses respectively. The surface morphology clearly stated the loading of CuO QDs loaded HA/PLGA microspheres. The capping of the polymer matrix was also studied using FTIR analysis. A Photoluminescence spectrum is also recorded. This study was illustrating that Piperine loaded CuQDs@HA/PLGA nanostructures exhibit improved neuroprotection and encourage the activation of astrocytes in chemical kindling model of epilepsy. This proposed material could be a novel and effective therapeutic platform for the targeted drug delivery systems.
Keywords	Fourier transform infrared spectroscopy ; X-ray diffraction ; alkaloids ; astrocytes ; biodegradability ; black pepper ; copper ; copper nanoparticles ; crystal structure ; cupric oxide ; drug delivery systems ; drugs ; elemental composition ; encapsulation ; energy-dispersive X-ray analysis ; epilepsy ; hyaluronic acid ; hydrophobicity ; microparticles ; models ; neuroprotective effect ; photoluminescence ; polymers ; quantum dots ; scanning electron microscopy ; transmission electron microscopy ; water solubility
Language	English
Dates of publication	2020-04
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	623022-2
ISSN	1873-2682 ; 1011-1344
ISSN (online)	1873-2682
ISSN	1011-1344
DOI	10.1016/j.jphotobiol.2020.111805
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The effect of refined psychological pain nursing combined with IMB nursing on the pain, sleep and quality of life of patients after cervical cancer surgery.

Chen, Xiao-Xue / Nie, Chang / Rao, Dan-Feng / Chen, Xiang-Xiang / Liao, Li

Medicine

2024 Volume 103, Issue 16, Page(s) e37816

Abstract: To explore the effect of refined psychological pain nursing combined with information-motivation-behavioral (IMB) care model on the pain, sleep and quality of life of patients after cervical cancer surgery, so as to provide reference and basis for the ... ...

Abstract	To explore the effect of refined psychological pain nursing combined with information-motivation-behavioral (IMB) care model on the pain, sleep and quality of life of patients after cervical cancer surgery, so as to provide reference and basis for the nursing of patients after cervical cancer surgery. The clinical data of 798 postoperative cervical cancer patients who were nursing in our hospital from January 2018 to December 2022 were included in this retrospective study and divided into the control group (n = 382) and observation group (n = 416) according to the different care methods. The control group used refined psychological pain nursing, and on this basis, the observation group used IMB nursing to observe and compare the differences in pain, sleep and quality of life between the 2 groups. There was no significant difference in pain between the 2 groups before nursing (P > .05). After nursing, the pain of both groups was significantly improved. The scores of NRS, VAS, and PSEQ of the observation group were significantly better than those of the control group (P < .001). After nursing, the quality of life scores such as emotion, cognition, society, and overall health were significantly higher in the observation group than those of the control group, while physical, fatigue, nausea, vomiting, and pain were significantly lower than those of the control group (P < .05). The negative emotion score of the observation group was significantly lower than that of the control group (P < .001). The residual urine volume and urinary tract infection rate of the observation group were significantly lower than those of the control group (P < .05). The bladder function was significantly better than that of the control group (P < .05). The analgesic effect of refined psychological pain nursing combined with IMB nursing on patients after cervical cancer surgery is better than that of refined psychological pain nursing alone, which can promote pain recovery and further improve the quality of life and sleep quality of patients.
MeSH term(s)	Humans ; Female ; Motivation ; Quality of Life ; Retrospective Studies ; Uterine Cervical Neoplasms/surgery ; Sleep ; Pain
Language	English
Publishing date	2024-04-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000037816
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Ua VI Zs.171: Show issues

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Article ; Online: Phage Display-Derived Peptides and Antibodies for Bacterial Infectious Diseases Therapy and Diagnosis.

Zhao, Hui / Nie, Dan / Hu, Yue / Chen, Zhou / Hou, Zheng / Li, Mingkai / Xue, Xiaoyan

Molecules (Basel, Switzerland)

2023 Volume 28, Issue 6

Abstract: The emergence of antibiotic-resistant-bacteria is a serious public health threat, which prompts us to speed up the discovery of novel antibacterial agents. Phage display technology has great potential to screen peptides or antibodies with high binding ... ...

Abstract	The emergence of antibiotic-resistant-bacteria is a serious public health threat, which prompts us to speed up the discovery of novel antibacterial agents. Phage display technology has great potential to screen peptides or antibodies with high binding capacities for a wide range of targets. This property is significant in the rapid search for new antibacterial agents for the control of bacterial resistance. In this paper, we not only summarized the recent progress of phage display for the discovery of novel therapeutic agents, identification of action sites of bacterial target proteins, and rapid detection of different pathogens, but also discussed several problems of this technology that must be solved. Breakthrough in these problems may further promote the development and application of phage display technology in the biomedical field in the future.
MeSH term(s)	Humans ; Peptides/therapeutic use ; Peptides/chemistry ; Bacterial Infections/diagnosis ; Bacterial Infections/drug therapy ; Bacterial Infections/microbiology ; Antibodies/therapeutic use ; Anti-Bacterial Agents/therapeutic use ; Bacterial Proteins ; Communicable Diseases/diagnosis ; Communicable Diseases/drug therapy ; Bacteriophages ; Peptide Library
Chemical Substances	Peptides ; Antibodies ; Anti-Bacterial Agents ; Bacterial Proteins ; Peptide Library
Language	English
Publishing date	2023-03-14
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules28062621
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Article ; Online: Anxiety and depression and its correlates in patients with coronavirus disease 2019 in Wuhan.

Nie, Xue-Dan / Wang, Qin / Wang, Min-Nan / Zhao, Shuai / Liu, Lei / Zhu, Yu-Lan / Chen, Hong

International journal of psychiatry in clinical practice

2020 Volume 25, Issue 2, Page(s) 109–114

Abstract: Objectives: Coronavirus disease 2019 (COVID-19) first broke-out in Wuhan China in December 2019, and spread throughout the entire country within a short time. This cross-sectional study investigated the prevalence of depression and anxiety and ... ...

Abstract	Objectives: Coronavirus disease 2019 (COVID-19) first broke-out in Wuhan China in December 2019, and spread throughout the entire country within a short time. This cross-sectional study investigated the prevalence of depression and anxiety and associated risk factors were analysed in patients with COVID-19. Methods: This single-center cross-sectional study focussed on measuring depression and anxiety using self-report scales. Linear regression was used to determine independent predictors for depression and anxiety. Results: A total of 78 patients who were confirmed to have COVID-19 were enrolled in the study. Prevalence of depression and anxiety symptoms were diagnosed in 35.9% and 38.5% of the patients, respectively. Multivariate linear regression analysis found female gender was an independent predictor for higher depression severity index. Having family members who were diagnosed with COVID-19 and family members who died from COVID-19 were independently associated with higher depression severity index and anxiety score. Conclusions: Patients with COVID-19 especially those who had family members diagnosed with COVID-19 or died from COVID-19 were more susceptible to depression and anxiety than were other patients. Effective strategies should be pursued to improve the mental health of this patient population.Key pointsPatients with COVID-19 showed a significantly high prevalence of depression and anxiety.Female patients were associated with higher risk of depression.Patients with family members diagnosed as COVID-19 or died from this disease were associated with higher risk of depression and anxiety.
MeSH term(s)	Anxiety/epidemiology ; Anxiety/etiology ; COVID-19/psychology ; China/epidemiology ; Cross-Sectional Studies ; Depression/epidemiology ; Depression/etiology ; Family ; Female ; Humans ; Linear Models ; Male ; Middle Aged ; Prevalence ; Psychiatric Status Rating Scales ; Risk Factors ; Sex Factors
Keywords	covid19
Language	English
Publishing date	2020-07-14
Publishing country	England
Document type	Journal Article
ZDB-ID	1465531-7
ISSN	1471-1788 ; 1365-1501
ISSN (online)	1471-1788
ISSN	1365-1501
DOI	10.1080/13651501.2020.1791345
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Zs.A 4995: Show issues

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Article ; Online: Phage Display-Derived Peptides and Antibodies for Bacterial Infectious Diseases Therapy and Diagnosis

Hui Zhao / Dan Nie / Yue Hu / Zhou Chen / Zheng Hou / Mingkai Li / Xiaoyan Xue

Molecules, Vol 28, Iss 2621, p

2023 Volume 2621

Abstract	The emergence of antibiotic-resistant-bacteria is a serious public health threat, which prompts us to speed up the discovery of novel antibacterial agents. Phage display technology has great potential to screen peptides or antibodies with high binding capacities for a wide range of targets. This property is significant in the rapid search for new antibacterial agents for the control of bacterial resistance. In this paper, we not only summarized the recent progress of phage display for the discovery of novel therapeutic agents, identification of action sites of bacterial target proteins, and rapid detection of different pathogens, but also discussed several problems of this technology that must be solved. Breakthrough in these problems may further promote the development and application of phage display technology in the biomedical field in the future.
Keywords	phage display ; antibacterial peptide ; multidrug-resistant ; antibodies ; virulence factor ; library construction ; Organic chemistry ; QD241-441
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Protein-protein interaction network of E. coli K-12 has significant high-dimensional cavities: new insights from algebraic topological studies.

Xue, Xiao-Yan / Chen, Zhou / Hu, Yue / Nie, Dan / Zhao, Hui / Mao, Xing-Gang

FEBS open bio

2022 Volume 12, Issue 7, Page(s) 1406–1418

Abstract: As a model system, Escherichia coli has been used to study various life processes. A dramatic paradigm shift has occurred in recent years, with the study of single proteins moving toward the study of dynamically interacting proteins, especially protein- ... ...

Abstract	As a model system, Escherichia coli has been used to study various life processes. A dramatic paradigm shift has occurred in recent years, with the study of single proteins moving toward the study of dynamically interacting proteins, especially protein-protein interaction (PPI) networks. However, despite the importance of PPI networks, little is known about the intrinsic nature of the network structure, especially high-dimensional topological properties. By introducing general hypergeometric distribution, we reconstruct a statistically reliable combined PPI network of E. coli (E. coli-PPI-Network) from several datasets. Unlike traditional graph analysis, algebraic topology was introduced to analyze the topological structures of the E. coli-PPI-Network, including high-dimensional cavities and cycles. Random networks with the same node and edge number (RandomNet) or scale-free networks with the same degree distribution (RandomNet-SameDD) were produced as controls. We discovered that the E. coli-PPI-Network had special algebraic typological structures, exhibiting more high-dimensional cavities and cycles, compared to RandomNets or, importantly, RandomNet-SameDD. Based on these results, we defined degree of involved q-dimensional cycles of proteins (q-DC
MeSH term(s)	Escherichia coli/genetics ; Escherichia coli/metabolism ; Models, Biological ; Protein Interaction Mapping/methods ; Protein Interaction Maps ; Proteins/metabolism
Chemical Substances	Proteins
Language	English
Publishing date	2022-06-16
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2651702-4
ISSN	2211-5463 ; 2211-5463
ISSN (online)	2211-5463
ISSN	2211-5463
DOI	10.1002/2211-5463.13437
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Co-targeting CD47 and VEGF elicited potent anti-tumor effects in gastric cancer.

Zhang, Kaiqi / Xu, Yuan / Chang, Xusheng / Xu, Caili / Xue, Wenjing / Ding, Dan / Nie, Mingming / Cai, Hui / Xu, Jun / Zhan, Lu / Han, Jiangbo / Cai, Tiancai / Ju, Dianwen / Feng, Li / Zhang, Xuyao / Yin, Kai

Cancer immunology, immunotherapy : CII

2024 Volume 73, Issue 4, Page(s) 75

Abstract: Background: CD47, serving as an intrinsic immune checkpoint, has demonstrated efficacy as an anti-tumor target in hematologic malignancies. Nevertheless, the clinical relevance of CD47 in gastric cancer and its potential as a therapeutic target remains ... ...

Abstract	Background: CD47, serving as an intrinsic immune checkpoint, has demonstrated efficacy as an anti-tumor target in hematologic malignancies. Nevertheless, the clinical relevance of CD47 in gastric cancer and its potential as a therapeutic target remains unclear. Methods: The expression of CD47 in clinical gastric cancer tissues was assessed using immunohistochemistry and Western blot. Patient-derived cells were obtained from gastric cancer tissues and co-cultured with macrophages derived from human peripheral blood mononuclear cells. Flow cytometry analyses were employed to evaluate the rate of phagocytosis. Humanized patient-derived xenografts (Hu-PDXs) models were established to assess the efficacy of anti-CD47 immunotherapy or the combination of anti-CD47 and anti-VEGF therapy in treating gastric cancer. The infiltrated immune cells in the xenograft were analyzed by immunohistochemistry. Results: In this study, we have substantiated the high expression of CD47 in gastric cancer tissues, establishing a strong association with unfavorable prognosis. Through the utilization of SIRPα-Fc to target CD47, we have effectively enhanced macrophage phagocytosis of PDCs in vitro and impeded the growth of Hu-PDXs. It is noteworthy that anti-CD47 immunotherapy has been observed to sustain tumor angiogenic vasculature, with a positive correlation between the expression of VEGF and CD47 in gastric cancer. Furthermore, the successful implementation of anti-angiogenic treatment has further augmented the anti-tumor efficacy of anti-CD47 therapy. In addition, the potent suppression of tumor growth, prevention of cancer recurrence after surgery, and significant prolongation of overall survival in Hu-PDX models can be achieved through the simultaneous targeting of CD47 and VEGF using the bispecific fusion protein SIRPα-VEGFR1 or by combining the two single-targeted agents. Conclusions: Our preclinical studies collectively offer substantiation that CD47 holds promise as a prospective target for gastric cancer, while also highlighting the potential of anti-angiogenic therapy to enhance tumor responsiveness to anti-CD47 immunotherapy.
MeSH term(s)	Animals ; Humans ; CD47 Antigen ; Disease Models, Animal ; Immunotherapy ; Leukocytes, Mononuclear/metabolism ; Neoplasm Recurrence, Local ; Neoplasms ; Phagocytosis ; Stomach Neoplasms ; Vascular Endothelial Growth Factor A
Chemical Substances	CD47 Antigen ; CD47 protein, human ; Vascular Endothelial Growth Factor A ; VEGFA protein, human
Language	English
Publishing date	2024-03-27
Publishing country	Germany
Document type	Journal Article
ZDB-ID	195342-4
ISSN	1432-0851 ; 0340-7004
ISSN (online)	1432-0851
ISSN	0340-7004
DOI	10.1007/s00262-024-03667-9
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Zs.A 1237: Show issues

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Article: Protein–protein interaction network of E. coli K‐12 has significant high‐dimensional cavities: new insights from algebraic topological studies

Xue, Xiao‐yan / Chen, Zhou / Hu, Yue / Nie, Dan / Zhao, Hui / Mao, Xing‐gang

FEBS Open Bio. 2022 July, v. 12, no. 7

2022

Abstract	As a model system, Escherichia coli has been used to study various life processes. A dramatic paradigm shift has occurred in recent years, with the study of single proteins moving toward the study of dynamically interacting proteins, especially protein–protein interaction (PPI) networks. However, despite the importance of PPI networks, little is known about the intrinsic nature of the network structure, especially high‐dimensional topological properties. By introducing general hypergeometric distribution, we reconstruct a statistically reliable combined PPI network of E. coli (E. coli‐PPI‐Network) from several datasets. Unlike traditional graph analysis, algebraic topology was introduced to analyze the topological structures of the E. coli‐PPI‐Network, including high‐dimensional cavities and cycles. Random networks with the same node and edge number (RandomNet) or scale‐free networks with the same degree distribution (RandomNet‐SameDD) were produced as controls. We discovered that the E. coli‐PPI‐Network had special algebraic typological structures, exhibiting more high‐dimensional cavities and cycles, compared to RandomNets or, importantly, RandomNet‐SameDD. Based on these results, we defined degree of involved q‐dimensional cycles of proteins (q‐DCₚᵣₒₜₑᵢₙ) in the network, a novel concept that relies on the integral structure of the network and is different from traditional node degree or hubs. Finally, top proteins ranked by their 1‐DCₚᵣₒₜₑᵢₙ were identified (such as gmhB, rpoA, rplB, rpsF and yfgB). In conclusion, by introducing mathematical and computer technologies, we discovered novel algebraic topological properties of the E. coli‐PPI‐Network, which has special high‐dimensional cavities and cycles, and thereby revealed certain intrinsic rules of information flow underlining bacteria biology.
Keywords	Escherichia coli K12 ; computers ; data collection ; probability distribution ; protein-protein interactions ; topology
Language	English
Dates of publication	2022-07
Size	p. 1406-1418.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	JOURNAL ARTICLE
ZDB-ID	2651702-4
ISSN	2211-5463
ISSN	2211-5463
DOI	10.1002/2211-5463.13437
Database	NAL-Catalogue (AGRICOLA)

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Article: Anxiety and depression and its correlates in patients with coronavirus disease 2019 in Wuhan

Nie, Xue-Dan / Wang, Qin / Wang, Min-Nan / Zhao, Shuai / Liu, Lei / Zhu, Yu-Lan / Chen, Hong

Int J Psychiatry Clin Pract

Abstract: OBJECTIVES: Coronavirus disease 2019 (COVID-19) first broke-out in Wuhan China in December 2019, and spread throughout the entire country within a short time. This cross-sectional study investigated the prevalence of depression and anxiety and associated ...

Abstract	OBJECTIVES: Coronavirus disease 2019 (COVID-19) first broke-out in Wuhan China in December 2019, and spread throughout the entire country within a short time. This cross-sectional study investigated the prevalence of depression and anxiety and associated risk factors were analysed in patients with COVID-19. METHODS: This single-center cross-sectional study focussed on measuring depression and anxiety using self-report scales. Linear regression was used to determine independent predictors for depression and anxiety. RESULTS: A total of 78 patients who were confirmed to have COVID-19 were enrolled in the study. Prevalence of depression and anxiety symptoms were diagnosed in 35.9% and 38.5% of the patients, respectively. Multivariate linear regression analysis found female gender was an independent predictor for higher depression severity index. Having family members who were diagnosed with COVID-19 and family members who died from COVID-19 were independently associated with higher depression severity index and anxiety score. CONCLUSIONS: Patients with COVID-19 especially those who had family members diagnosed with COVID-19 or died from COVID-19 were more susceptible to depression and anxiety than were other patients. Effective strategies should be pursued to improve the mental health of this patient population. Key points Patients with COVID-19 showed a significantly high prevalence of depression and anxiety. Female patients were associated with higher risk of depression. Patients with family members diagnosed as COVID-19 or died from this disease were associated with higher risk of depression and anxiety.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #646750
Database	COVID19

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