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Article ; Online: Effect of miR-216a on macrophages derived from human peripheral blood mononuclear cells

Jichu yixue yu linchuang, Vol 42, Iss 3, Pp 384-

2022 Volume 388

Abstract: Objective To study the role of miR-216a in regulating the characteristics of macrophages derived from peripheral blood mononuclear cells (PBMCs). Methods Human PBMCs were isolated and cultured. The polarization model of M1 and M2 macrophages were ... ...

Abstract	Objective To study the role of miR-216a in regulating the characteristics of macrophages derived from peripheral blood mononuclear cells (PBMCs). Methods Human PBMCs were isolated and cultured. The polarization model of M1 and M2 macrophages were established in vitro, and flow cytometry and real-time quantitative PCR were used to detect the cell surface markers of macrophage. Furthermore, miR-216a mimics were transfected into M2 macrophages, and the surface markers of M2 macrophage and inflammatory factors were examined. Results After overexpression of miR-216a, the expression of surface marker CD163 of M2 macrophage was significantly increased, the expressions of inflammatory cytokines TNFα and IL-1β were decreased, and the expressions of anti-inflammatory cytokines TGF-β and IL-10 were increased(P＜0.05). Conclusions miR-216a could promote the polarization of human PBMCs-derived macrophages into M2 phenotype and inhibit the expressions of pro-inflammatory cytokines.
Keywords	mir-216a\|peripheral blood mononuclear cell\|macrophage polarization\|m1 macrophage\|m2 macrophage ; Medicine ; R
Subject code	610
Language	Chinese
Publishing date	2022-03-01T00:00:00Z
Publisher	Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Temporal Window Attention-Based Window-Dependent Long Short-Term Memory Network for Multivariate Time Series Prediction.

Han, Shuang / Dong, Hongbin

Entropy (Basel, Switzerland)

2022 Volume 25, Issue 1

Abstract: Multivariate time series prediction models perform the required operation on a specific window length of a given input. However, capturing complex and nonlinear interdependencies in each temporal window remains challenging. The typical attention ... ...

Abstract	Multivariate time series prediction models perform the required operation on a specific window length of a given input. However, capturing complex and nonlinear interdependencies in each temporal window remains challenging. The typical attention mechanisms assign a weight for a variable at the same time or the features of each previous time step to capture spatio-temporal correlations. However, it fails to directly extract each time step's relevant features that affect future values to learn the spatio-temporal pattern from a global perspective. To this end, a temporal window attention-based window-dependent long short-term memory network (TWA-WDLSTM) is proposed to enhance the temporal dependencies, which exploits the encoder-decoder framework. In the encoder, we design a temporal window attention mechanism to select relevant exogenous series in a temporal window. Furthermore, we introduce a window-dependent long short-term memory network (WDLSTM) to encode the input sequences in a temporal window into a feature representation and capture very long term dependencies. In the decoder, we use WDLSTM to generate the prediction values. We applied our model to four real-world datasets in comparison to a variety of state-of-the-art models. The experimental results suggest that TWA-WDLSTM can outperform comparison models. In addition, the temporal window attention mechanism has good interpretability. We can observe which variable contributes to the future value.
Language	English
Publishing date	2022-12-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e25010010
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Article ; Online: Analgesic efficacy of local infiltration anaesthesia versus femoral nerve block in alleviating postoperative wound pain following total knee arthroplasty: A systematic review and meta-analysis.

Yu, Dongdong / Wu, Yajing / Han, Shuang / Wang, Xiaoyu / Jiang, Li

International wound journal

2024 Volume 21, Issue 2, Page(s) e14766

Abstract: Total knee arthroplasty (TKA) often involves significant postoperative pain, necessitating effective analgesia. This meta-analysis compares the analgesic efficacy of local infiltration anaesthesia (LIA) and femoral nerve block (FNB) in managing ... ...

Abstract	Total knee arthroplasty (TKA) often involves significant postoperative pain, necessitating effective analgesia. This meta-analysis compares the analgesic efficacy of local infiltration anaesthesia (LIA) and femoral nerve block (FNB) in managing postoperative wound pain following TKA. Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this meta-analysis was structured around the PICO framework, assessing studies that directly compared LIA and FNB in TKA patients. A comprehensive search across PubMed, Embase, Web of Science and the Cochrane Library was conducted without time restrictions. Studies were included based on specific criteria such as participant demographics, study design and outcomes like pain scores and opioid consumption. Quality assessment utilized the Cochrane Collaboration's risk of bias tool. The statistical approach was determined based on heterogeneity, with the choice of fixed- or random-effects models guided by the I
MeSH term(s)	Humans ; Anesthesia, Local ; Arthroplasty, Replacement, Knee/adverse effects ; Analgesics, Opioid ; Femoral Nerve/physiology ; Femoral Nerve/surgery ; Nerve Block ; Pain, Postoperative/drug therapy ; Analgesics ; Anesthetics, Local/therapeutic use
Chemical Substances	Analgesics, Opioid ; Analgesics ; Anesthetics, Local
Language	English
Publishing date	2024-02-13
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	2170920-8
ISSN	1742-481X ; 1742-4801
ISSN (online)	1742-481X
ISSN	1742-4801
DOI	10.1111/iwj.14766
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Article ; Online: The impact of goal-directed fluid therapy on postoperative pulmonary complications in patients undergoing thoracic surgery: a systematic review and meta-analysis.

Han, Shuang / Wu, Xiaoqian / Li, Pan / He, Kun / Li, Jianli

Journal of cardiothoracic surgery

2024 Volume 19, Issue 1, Page(s) 60

Abstract: Background: Pulmonary complications after thoracic surgery are common and associated with significant morbidity and high cost of care. Goal-directed fluid therapy (GDFT) could reduce the incidence of postoperative pulmonary complications (PPCs) and ... ...

Abstract	Background: Pulmonary complications after thoracic surgery are common and associated with significant morbidity and high cost of care. Goal-directed fluid therapy (GDFT) could reduce the incidence of postoperative pulmonary complications (PPCs) and facilitate recovery in patients undergoing major abdominal surgery. However, whether GDFT could reduce the incidence of PPCs in patients undergoing thoracic surgery was unclear. The present meta-analysis was designed to assess the impact of Goal-directed Fluid Therapy on PPCs in patients undergoing thoracic surgery. Methods: Randomized controlled trials (RCTs) comparing GDFT with other conventional fluid management strategies in adult patients undergoing thoracic surgery were identified. Databases searched included PubMed, Web of Science, Embase, and Cochrane Library databases. Review Manager 5.4 (The Cochrane Collaboration, Oxford, UK) software was used for statistical analysis. Heterogeneity was analyzed using I Results: A total of 6 RCTs consisting of 680 patients were included in this meta-analysis, which revealed that GDFT did not reduce the incidence of PPCs in patients undergoing thoracic surgery (RR, 0.57; 95% CI 0.29-1.14). However, GDFT decreased the total intra-operative fluid input (MD, - 244.40 ml; 95% CI - 397.06 to - 91.74). There was no statistical difference in the duration of hospitalization (MD; - 1.31, 95% CI - 3.00 to 0.38), incidence of renal dysfunction (RR, 0.62; 95% CI 0.29-1.35), and incidence of cardiac complications (RR, 0.62; 95% CI 0.27-1.40). Conclusions: The results of this meta-analysis indicate that GDFT did not reduce the postoperative incidence of pulmonary complications in individuals undergoing thoracic surgery. However, considering the small number of contributing studies, these results should be interpreted with caution.
MeSH term(s)	Adult ; Humans ; Thoracic Surgery ; Goals ; Length of Stay ; Postoperative Complications/epidemiology ; Postoperative Complications/prevention & control ; Fluid Therapy/methods ; Kidney Diseases
Language	English
Publishing date	2024-02-05
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review
ZDB-ID	2227224-0
ISSN	1749-8090 ; 1749-8090
ISSN (online)	1749-8090
ISSN	1749-8090
DOI	10.1186/s13019-024-02519-y
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Conference proceedings: Effect of 3D printing technology on pelvic fractures in China: A meta-analysis

Han, Shuang / Wen, Shiming

2023 , Page(s) AB23–2324

Event/congress	Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2023); Berlin; ; Berufsverband für Orthopädie und Unfallchirurgie; 2023
Keywords	Medizin, Gesundheit ; 3D printing ; meta-analysis ; pelvic fractures
Publishing date	2023-10-23
Publisher	German Medical Science GMS Publishing House; Düsseldorf
Document type	Conference proceedings
DOI	10.3205/23dkou073
Database	German Medical Science

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Article ; Online: A magnetic solid phase chemiluminescent immunoassay for quantification of Cystatin C in human serum.

He, Jian / Liang, Ping / Wang, Tingting / Han, Shuang

BMC biotechnology

2023 Volume 23, Issue 1, Page(s) 45

Abstract: A chemiluminescent immunoassay for human serum Cystatin C (Cys C) was established using a direct-antibody sandwich model. The immunoassay kit uses magnetic separation technology, using magnetic particles as the reaction solid phase, alkaline phosphatase ... ...

Abstract	A chemiluminescent immunoassay for human serum Cystatin C (Cys C) was established using a direct-antibody sandwich model. The immunoassay kit uses magnetic separation technology, using magnetic particles as the reaction solid phase, alkaline phosphatase as the marker enzyme, and a new chemiluminescent substrate APLS as the substrate. It has the characteristics of high sensitivity and short reaction time. This product uses high-affinity antibodies, resulting in a high specificity. The established method showed good accuracy, uniformity, and stability. The limit of detection was 2.39 ng/mL. The intra-assay coefficient of variation (CV) was 3.36%-6.00%, the interassay CV was 4.12%-5.35%, and the recovery rate was 99.07%. The correlation coefficient (r) of Cys-C kit was 0.999388 ≥ 0.9900. The accuracy of the developed method was tested by automatic chemiluminescence instrument (P > 0.05). The lowest titer was 0.92500, and the highest was 1.10000. The developed method showed a good correlation with the product from Roche by comparing these two kits in 240 clinical samples from China. In total, 1392 clinical patient from China samples were measured using the reagent kit developed in this study.
MeSH term(s)	Humans ; Cystatin C ; Immunoassay/methods ; Immunologic Tests ; Magnetics ; Magnetic Phenomena ; Luminescent Measurements/methods ; Sensitivity and Specificity
Chemical Substances	Cystatin C
Language	English
Publishing date	2023-10-11
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2052746-9
ISSN	1472-6750 ; 1472-6750
ISSN (online)	1472-6750
ISSN	1472-6750
DOI	10.1186/s12896-023-00813-6
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Article: The combined associations of depression and cognitive impairment with functional disability and mortality in older adults: a population-based study from the NHANES 2011-2014.

Han, Shuang / Gao, Yue / Gan, Da

Frontiers in aging neuroscience

2023 Volume 15, Page(s) 1121190

Abstract: Objective: The present study aimed to explore the combined associations of depression and cognitive impairment with functional disability and mortality, and whether the joint effects of depression and cognitive impairment on mortality were influenced by ...

Abstract	Objective: The present study aimed to explore the combined associations of depression and cognitive impairment with functional disability and mortality, and whether the joint effects of depression and cognitive impairment on mortality were influenced by functional disability. Methods: A total of 2,345 participants aged 60 and above from the 2011-2014 cycle of the National Health and Nutrition Examination Survey (NHANES) were included in the analyses. Questionnaires were used to evaluated depression, global cognitive function and functional disability (including disability in activities of daily living (ADLs), instrumental activities of daily living (IADLs), leisure and social activities (LSA), lower extremity mobility (LEM), and general physical activity (GPA)). Mortality status was ascertained up to December 31, 2019. Multivariable logistic regression was performed to investigate the associations of depression and low global cognition with functional disability. Cox proportional hazards regression models were conducted to evaluate the effect of depression and low global cognition on mortality. Results: Interactions between depression and low global cognition were observed when exploring associations of depression and low global cognition with IADLs disability, LEM disability, and cardiovascular mortality. Compared with normal participants, participants with both depression and low global cognition had the highest odds ratios of disability in ADLs, IADLs, LSA, LEM, and GPA. Besides, participants with both depression and low global cognition also had the highest hazard ratios of all-cause mortality and cardiovascular mortality, and these associations remained after adjusting for disability in ADLs, IADLs, LSA, LEM, and GPA. Conclusion: Older adults with both depression and low global cognition were more likely to have functional disability, and had the highest risk of all-cause mortality and cardiovascular mortality.
Language	English
Publishing date	2023-05-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2558898-9
ISSN	1663-4365
ISSN	1663-4365
DOI	10.3389/fnagi.2023.1121190
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Article ; Online: UiO66-based molecularly imprinted polymers with water-compatible deep eutectic solvent as functional monomer for purification of lysozyme from egg white.

Zhao, Le / Han, Shuang / Sun, Ruonan / Yan, Chen

Mikrochimica acta

2023 Volume 191, Issue 1, Page(s) 56

Abstract: Protein-templated molecularly imprinted polymers have limitations such as poor mass transfer, slow recognition kinetics, and difficulties in isolation and purification due to their large molecular sizes, complex structures, and flexible conformations. To ...

Abstract	Protein-templated molecularly imprinted polymers have limitations such as poor mass transfer, slow recognition kinetics, and difficulties in isolation and purification due to their large molecular sizes, complex structures, and flexible conformations. To address these limitations and obtain lysozyme (Lyz)-imprinted polymers, a molecularly imprinted polymer (UiO66@DES-MIPs) was prepared for the first time by using Lyz as a template molecule, a metal-organic framework (UiO66-NH
MeSH term(s)	Muramidase ; Molecularly Imprinted Polymers ; Egg White ; Deep Eutectic Solvents ; Polymers ; Water
Chemical Substances	Muramidase (EC 3.2.1.17) ; Molecularly Imprinted Polymers ; Deep Eutectic Solvents ; Polymers ; Water (059QF0KO0R)
Language	English
Publishing date	2023-12-28
Publishing country	Austria
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	89-9
ISSN	1436-5073 ; 0026-3672
ISSN (online)	1436-5073
ISSN	0026-3672
DOI	10.1007/s00604-023-06135-w
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Article ; Online: The impact of different service states of tunnel lighting on traffic safety.

Wang, Xiaoxia / You, Linhai / Chen, Jianzhong / Han, Shuang

Accident; analysis and prevention

2023 Volume 192, Page(s) 107237

Abstract: The service states of tunnel lighting will directly affect the lighting conditions, which affect traffic safety. Therefore, it is imperative to evaluate and predict traffic safety accurately in different lighting states. In this research, three hundred ... ...

Abstract	The service states of tunnel lighting will directly affect the lighting conditions, which affect traffic safety. Therefore, it is imperative to evaluate and predict traffic safety accurately in different lighting states. In this research, three hundred experimental scenarios of the service states of tunnel lighting were designed and implemented to evaluate the impact of different service states of tunnel lighting on traffic safety. The evaluation was achieved through a visual identification experiment in a physical tunnel. The experimental results show higher simulated vehicle speeds pose a greater threat to traffic safety. The severity of lighting attenuation contributes to an increased risk to traffic safety. An increase in the number of luminaires failure also poses a greater threat to traffic safety. The newly proposed traffic safety factor was employed to evaluate traffic safety quantitatively in road tunnels. To improve the accuracy and comprehensiveness of the traffic safety factor prediction in different lighting service states, an advanced neural network prediction system was developed. The prediction system was constructed using the Sparrow Search Algorithm (SSA) to optimize Extreme Learning Machine (ELM) neural network, and the dataset from the experiment was used for the prediction model. The SSA-ELM neural network model is a reliable model that can predict the traffic safety factor comprehensively and accurately. The recommended threshold value for the traffic safety factor is 0.6. When the value falls below 0.6, it shows that the service states of tunnel lighting pose a threat to traffic safety in the tunnel. These findings can provide insights into the safe and energy-efficient maintenance of road tunnels.
MeSH term(s)	Humans ; Accidents, Traffic/prevention & control ; Lighting ; Safety ; Algorithms ; Neural Networks, Computer
Language	English
Publishing date	2023-08-04
Publishing country	England
Document type	Journal Article
ZDB-ID	210223-7
ISSN	1879-2057 ; 0001-4575
ISSN (online)	1879-2057
ISSN	0001-4575
DOI	10.1016/j.aap.2023.107237
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Article ; Online: Clinical effect of Guizhi Fuling Pill combined with metformin on chronic pelvic inflammatory disease and its influence on inflammatory reaction in rats.

Han, Shuang / Ji, Yinhui / Song, Yaping / Wang, Shiqin

Minerva medica

2023 Volume 115, Issue 2, Page(s) 245–248

MeSH term(s)	Metformin/therapeutic use ; Metformin/administration & dosage ; Animals ; Rats ; Female ; Pelvic Inflammatory Disease/drug therapy ; Drugs, Chinese Herbal/therapeutic use ; Drugs, Chinese Herbal/administration & dosage ; Chronic Disease ; Drug Therapy, Combination ; Hypoglycemic Agents/therapeutic use ; Hypoglycemic Agents/administration & dosage ; Humans
Language	English
Publishing date	2023-05-04
Publishing country	Italy
Document type	Letter ; Journal Article
ZDB-ID	123586-2
ISSN	1827-1669 ; 0026-4806
ISSN (online)	1827-1669
ISSN	0026-4806
DOI	10.23736/S0026-4806.23.08616-0
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