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  1. Article ; Online: Quantification of Glycated Hemoglobin in Total Hemoglobin by a Simultaneous Dual-Signal Acquisition Approach.

    Wang, Jiaqing / Xiong, Qichen / Zhang, Shuli / Han, Hongliang / Ma, Zhanfang

    ACS sensors

    2024  Volume 9, Issue 4, Page(s) 2141–2148

    Abstract: The glycated hemoglobin ( ... ...

    Abstract The glycated hemoglobin (HbA
    MeSH term(s) Glycated Hemoglobin/analysis ; Humans ; Methylene Blue/chemistry ; Graphite/chemistry ; Gold/chemistry ; Metal Nanoparticles/chemistry ; Quantum Dots/chemistry ; Hemoglobins/analysis ; Hemoglobins/chemistry ; Boronic Acids/chemistry ; Ferrous Compounds/chemistry ; Metallocenes/chemistry ; Limit of Detection ; Electrochemical Techniques/methods ; Hydrogen Peroxide/chemistry
    Chemical Substances Glycated Hemoglobin ; Methylene Blue (T42P99266K) ; Graphite (7782-42-5) ; Gold (7440-57-5) ; Hemoglobins ; Boronic Acids ; Ferrous Compounds ; ferrocene (U96PKG90JQ) ; Metallocenes ; Hydrogen Peroxide (BBX060AN9V)
    Language English
    Publishing date 2024-04-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2379-3694
    ISSN (online) 2379-3694
    DOI 10.1021/acssensors.4c00176
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A comparison of pulsed radiofrequency and radiofrequency denervation for lumbar facet joint pain.

    Li, Shao-Jun / Zhang, Shu-Li / Feng, Dan

    Journal of orthopaedic surgery and research

    2023  Volume 18, Issue 1, Page(s) 331

    Abstract: Background: Lumbar facet joint pain is a common disorder. The main symptom is chronic lumbar pain, which can reduce quality of life. Radiofrequency has often been used to treat lumbar facet joint pain. However, the effectiveness of this technique has ... ...

    Abstract Background: Lumbar facet joint pain is a common disorder. The main symptom is chronic lumbar pain, which can reduce quality of life. Radiofrequency has often been used to treat lumbar facet joint pain. However, the effectiveness of this technique has been controversial. This study was conducted to compare the effectiveness of pulsed radiofrequency (PRF) and radiofrequency denervation (RD) for lumbar facet joint pain.
    Methods: One hundred and forty-two patients with lumbar facet joint pain were allocated to two treatment groups: PRF group (N = 72) and RD group (N = 70). Patients enrolled in the study were assessed using a visual analogue scale (VAS), Roland-Morris questionnaire (RMQ), Oswestry disability index (ODI) and Short-Form 36 (SF-36) questionnaire before therapy, 3 months and 12 months later.
    Results: There were no significant differences in VAS, RMQ score, ODI score and SF-36 score at 3 months (p > 0.05). Significant differences in pain control were observed in both groups at 12 months (3.09 ± 1.72 vs. 2.37 ± 1.22, p = 0.006). There was a significant difference in RMQ score (11.58 ± 3.58 vs. 8.17 ± 2.34, p < 0.001) and ODI score (43.65 ± 11.01 vs. 35.42 ± 11.32, p < 0.001) at 12 months. The total SF-36 score was higher in the RD group than in the PRF group at 12 months (58.45 ± 6.97 vs. 69.36 ± 6.43, p < 0.001). In terms of complications, skin numbness occurred in three patients. Mild pain such as burning and pinking at the puncture site in two patients. One patient experienced a decrease in back muscle strength and back muscle fatigue. These complications disappeared in 3 weeks without any treatment. There were no serious adverse events in the PRF group.
    Conclusion: Radiofrequency is an effective and safe treatment option for patients with lumbar facet joint pain. RD could provide good and lasting pain relief, with significant improvement in lumbar function and quality of life at long-term follow-up.
    MeSH term(s) Humans ; Zygapophyseal Joint/surgery ; Pulsed Radiofrequency Treatment/methods ; Quality of Life ; Spinal Puncture ; Low Back Pain/surgery ; Low Back Pain/diagnosis ; Arthralgia/etiology ; Arthralgia/surgery ; Denervation/methods ; Treatment Outcome
    Language English
    Publishing date 2023-05-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2252548-8
    ISSN 1749-799X ; 1749-799X
    ISSN (online) 1749-799X
    ISSN 1749-799X
    DOI 10.1186/s13018-023-03814-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Dual-channel neural network for instance segmentation of synapse.

    Chen, Suhao / Zhang, Shuli / Li, Yang / Wang, Huan / Chen, Xun / Yang, Yan

    Computers in biology and medicine

    2024  Volume 172, Page(s) 108298

    Abstract: Detection and segmentation of neural synapses in electron microscopy images are the committed steps for analyzing neural ultrastructure. To date, manual annotation of the structure in synapses has been the primary method, which is time-consuming and ... ...

    Abstract Detection and segmentation of neural synapses in electron microscopy images are the committed steps for analyzing neural ultrastructure. To date, manual annotation of the structure in synapses has been the primary method, which is time-consuming and restricts the throughput of data acquisition. Recent studies have utilized a series of deformations based on a segmentation model for the detection and segmentation of transmission electron microscope images. However, the analysis of synaptic segmentation and statistics still lacks sufficient automation and high-throughput. Therefore, we developed a dual-channel neural network instance segmentation model with weighted top-down and multi-scale bottom-up schemes, which aid in accurately detecting and segmenting synaptic vesicles and their active zones within presynaptic membranes in complex environments. In addition, we proposed a masked self-supervised pre-training model based on the latest convolutional architecture to improve performance in downstream segmentation tasks. By comparing our model to other state-of-the-art methods, we determined its viability and accuracy. The applicability of our model is thoroughly demonstrated by distinct application scenarios for neurobiological research. These findings indicate that the dual-channel neural network could facilitate the analysis of synaptic structures for the advancement of biomedical research and electron microscope reconstruction techniques.
    MeSH term(s) Image Processing, Computer-Assisted/methods ; Neural Networks, Computer ; Synapses ; Microscopy ; Automation
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108298
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  4. Article ; Online: A facile electrochemical immunosensor based on EDTA-Pb

    Zhang, Shuli / Zhang, Ze / Xiong, Qichen / Wang, Jiaqing / Han, Hongliang / Ma, Zhanfang

    Talanta

    2024  Volume 273, Page(s) 125957

    Abstract: The sensitivity of electrochemical (EC) sensors has been improved through the development of multiple approaches. However, the majority of EC sensors were limited in their practical application by high costs or tedious procedures. Herein, based on ... ...

    Abstract The sensitivity of electrochemical (EC) sensors has been improved through the development of multiple approaches. However, the majority of EC sensors were limited in their practical application by high costs or tedious procedures. Herein, based on ethylenediaminetetraacetic acid (EDTA)-Pb
    MeSH term(s) Humans ; Male ; Edetic Acid ; Electrochemical Techniques/methods ; Limit of Detection ; Lead ; Biosensing Techniques/methods ; Immunoassay/methods ; Gold ; Metal Nanoparticles
    Chemical Substances Edetic Acid (9G34HU7RV0) ; Lead (2P299V784P) ; Gold (7440-57-5)
    Language English
    Publishing date 2024-03-19
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1500969-5
    ISSN 1873-3573 ; 0039-9140
    ISSN (online) 1873-3573
    ISSN 0039-9140
    DOI 10.1016/j.talanta.2024.125957
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Aerobic power across positions - an investigation into women's soccer performance.

    Xing, Yang / Chamera, Tomasz / Chen, Long / Zhang, ShuLi

    Annals of agricultural and environmental medicine : AAEM

    2023  Volume 30, Issue 4, Page(s) 749–754

    Abstract: Objective: The aim of the study was to discern the disparities in the aerobic capacity of female athletes occupying various positions within a soccer team, and to understand the physical characteristics of the athletes in different positions. It is ... ...

    Abstract Objective: The aim of the study was to discern the disparities in the aerobic capacity of female athletes occupying various positions within a soccer team, and to understand the physical characteristics of the athletes in different positions. It is critical to understand that the physical demands for players vary depending on their positions on the field, a factor that greatly influences their training and gameplay.
    Material and methods: The study engaged a sample of 25 female soccer players, average age of 22.72 (±2.69 SD), all of whom were active participants in the Chinese Women's Super League. The sample was distributed across several playing positions, including forwards, midfielders, and defenders. To gather pertinent data on oxygen uptake, a progressive load test was administered on a treadmill, coupled with a gas analyzer to amass respiratory indices (JAEGER, Germany).
    Results: The study revealed that there was a notable variance in the maximum oxygen uptake among players in different positions. The midfielders exhibited the highest VO2 max at 63.24±7.04 ml/kg/min, followed by the forwards who averaged at 58.92±7.70 ml/kg/min, and finally the defenders who recorded the smallest average at 55.73±4.40 ml/kg/min.
    Conclusions: The outcomes of this study indicate that the positional role of a player in a team correlates with their aerobic capacity. Therefore, the positional demands significantly shape the player's physical characteristics, influencing their training and gameplay. This understanding is vital for the optimal conditioning of athletes in different positions in the sport of soccer.
    MeSH term(s) Humans ; Female ; Young Adult ; Adult ; Oxygen Consumption ; Soccer ; Athletic Performance ; Oxygen ; Athletes
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2023-08-01
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 1215115-4
    ISSN 1898-2263 ; 1232-1966
    ISSN (online) 1898-2263
    ISSN 1232-1966
    DOI 10.26444/aaem/169854
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A clustering-based sampling method for miRNA-disease association prediction.

    Wei, Zheng / Yao, Dengju / Zhan, Xiaojuan / Zhang, Shuli

    Frontiers in genetics

    2022  Volume 13, Page(s) 995535

    Abstract: More and more studies have proved that microRNAs (miRNAs) play a critical role in gene expression regulation, and the irregular expression of miRNAs tends to be associated with a variety of complex human diseases. Because of the high cost and low ... ...

    Abstract More and more studies have proved that microRNAs (miRNAs) play a critical role in gene expression regulation, and the irregular expression of miRNAs tends to be associated with a variety of complex human diseases. Because of the high cost and low efficiency of identifying disease-associated miRNAs through biological experiments, scholars have focused on predicting potential disease-associated miRNAs by computational methods. Considering that the existing methods are flawed in constructing negative sample set, we proposed a clustering-based sampling method for miRNA-disease association prediction (CSMDA). Firstly, we integrated multiple similarity information of miRNA and disease to represent miRNA-disease pairs. Secondly, we performed a clustering-based sampling method to avoid introducing potential positive samples when constructing negative sample set. Thirdly, we employed a random forest-based feature selection method to reduce noise and redundant information in the high-dimensional feature space. Finally, we implemented an ensemble learning framework for predicting miRNA-disease associations by soft voting. The Precision, Recall, F1-score, AUROC and AUPR of the CSMDA achieved 0.9676, 0.9545, 0.9610, 0.9928, and 0.9940, respectively, under five-fold cross-validation. Besides, case study on three cancers showed that the top 20 potentially associated miRNAs predicted by the CSMDA were confirmed by the dbDEMC database or literatures. The above results demonstrate that the CSMDA can predict potential disease-associated miRNAs more accurately.
    Language English
    Publishing date 2022-09-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.995535
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  7. Article ; Online: Implementing a Clinical Immunogenicity Strategy using Preclinical Risk Assessment Outputs.

    Jawa, Vibha / Maamary, Jad / Swanson, Michael / Zhang, Shuli / Montgomery, Diana

    Journal of pharmaceutical sciences

    2022  Volume 111, Issue 4, Page(s) 960–969

    Abstract: Immunogenicity to biologics is often observed following dosing in human subjects during clinical trials. Both product and host specific factors may be implicated in contributing to a potential immune response. However, even if such risk factors are ... ...

    Abstract Immunogenicity to biologics is often observed following dosing in human subjects during clinical trials. Both product and host specific factors may be implicated in contributing to a potential immune response. However, even if such risk factors are identified and eliminated as part of the rational quality by design approaches, the outcome in clinic can be uncertain and challenging to predict. Several tools have been employed to identify these risk factors and consequent mitigation approaches implemented prior to dosing in humans. However, the complexity of the immune system with an interplay of network of immune cells involved in driving a long- term immune response as well as patient characteristics, can make it challenging to predict the outcome in clinic. This perspective will provide an insight into recent advances in the risk assessment approaches that are utilized during preclinical stage of development of a biologic. The outputs from such tools can help to rank order and select the most optimal candidate with the least likelihood of an immune response and can further drive the development of a clinical bioanalytical and immunogenicity monitoring strategy. Such a strategy can be proactively shared with the regulators along with the proposal to streamline clinical immunogenicity and personalizing the outcome based on pharmacogenomics and other patient-related factors. This paper provides a roadmap on performing risk assessments through a systematic identification of risks and their mitigations wherever possible. Recommendations on incorporating the key components of such risk assessments as part of the new regulatory submissions are also provided. Shorter abstract Immunogenicity to biologics is common during clinical trials. Both product and host specific factors have been implicated. Several risk assessment tools can be used to identify and mitigate the risk factors responsible for immunogenicity. An insight into recent advances in the risk assessment approaches will be presented. The outputs can define a risk score and guide the clinical bioanalytical and immunogenicity monitoring strategy. A roadmap on performing risk assessments through a systematic identification of risks and their mitigations wherever possible is provided. Best practices for a risk assessment strategy and recommendations on the content for IND and the Integrated summary of Immunogenicity are also provided.
    MeSH term(s) Biological Products ; Humans ; Risk Assessment ; Risk Factors
    Chemical Substances Biological Products
    Language English
    Publishing date 2022-02-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 3151-3
    ISSN 1520-6017 ; 0022-3549
    ISSN (online) 1520-6017
    ISSN 0022-3549
    DOI 10.1016/j.xphs.2022.01.032
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  8. Article ; Online: Alkaloids from Fritillaria przewalskii Bulbs and Their Anti-Alzheimer's Disease Activities.

    Ma, Rui-Xue / Zhang, Shu-Li / Lin, Feng-Ke / Zhu, Ming-Ming / Zhu, Dong-Rong / Liu, Yu-Ming

    Chemistry & biodiversity

    2024  Volume 21, Issue 3, Page(s) e202400017

    Abstract: Three undescribed isosteroidal alkaloids, przewalskines A-C (1-3), as well as seven known alkaloids (4-10) were obtained from Fritillaria przewalskii bulbs. Their structures were deduced by extensive HRESIMS, 1D NMR, and 2D NMR analyses, and their ... ...

    Abstract Three undescribed isosteroidal alkaloids, przewalskines A-C (1-3), as well as seven known alkaloids (4-10) were obtained from Fritillaria przewalskii bulbs. Their structures were deduced by extensive HRESIMS, 1D NMR, and 2D NMR analyses, and their bioactivities were evaluated involving the anti-inflammatory and inhibitory potencies on AChE, BChE, and Aβ aggregation. Compound 4 revealed the potent effect on inhibiting Aβ aggregation activity with IC
    MeSH term(s) Fritillaria/chemistry ; Alkaloids/pharmacology ; Alkaloids/chemistry
    Chemical Substances Alkaloids
    Language English
    Publishing date 2024-02-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2139001-0
    ISSN 1612-1880 ; 1612-1872
    ISSN (online) 1612-1880
    ISSN 1612-1872
    DOI 10.1002/cbdv.202400017
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  9. Article: Lidocaine attenuates CFA-induced inflammatory pain in rats by regulating the MAPK/ERK/NF-κB signaling pathway.

    Zhang, Shuli / Li, Yan / Tu, Yingjun

    Experimental and therapeutic medicine

    2021  Volume 21, Issue 3, Page(s) 211

    Abstract: Lidocaine is a commonly used local anesthetic that also confers analgesic effects, resistance to hyperalgesia and anti-inflammatory properties. The present study aimed to explore the effects of lidocaine on complete Freund's adjuvant (CFA)-induced ... ...

    Abstract Lidocaine is a commonly used local anesthetic that also confers analgesic effects, resistance to hyperalgesia and anti-inflammatory properties. The present study aimed to explore the effects of lidocaine on complete Freund's adjuvant (CFA)-induced inflammatory pain. In the present study, rats were subcutaneously injected with CFA to investigate the molecular mechanisms associated with lidocaine in an inflammation-induced pain model. Firstly, CFA was subcutaneously injected into the paws of Sprague-Dawley rats, following which lidocaine or saline and the ERK agonist recombinant human epidermal growth factor (rh-EGF) were injected via the tail vein. Rat behavior was then assessed at 0 and 4 h, 1, 4, 7 and 14 days after CFA treatment. Proinflammatory cytokine levels in the serum were measured using ELISA. Western blotting was performed to detect the protein levels of phosphorylated (p)-ERK1/2, ERK1/2 and NF-κB subunits p-p65 and p65. Reverse transcription-quantitative PCR was used to measure the mRNA expression of ERK1/2 and p65 in rat spinal cord tissues. The results showed that injection of CFA significantly reduced the mechanical withdrawal threshold, thermal withdrawal latency and the frequency of responses to cold stimulation in rats, whilst promoting tumor necrosis factor-α, interleukin (IL)-1β, IL-6 levels in addition to ERK1/2, p65 protein phosphorylation. These effects were alleviated by lidocaine treatment. Furthermore, treatment with rh-EGF reversed the protective effects of lidocaine on inflammatory pain caused by CFA. In conclusion, lidocaine inhibits the inflammatory response and pain through the MAPK/ERK/NF-κB pathway in a rat model of pain induced by CFA.
    Language English
    Publishing date 2021-01-14
    Publishing country Greece
    Document type Journal Article
    ZDB-ID 2683844-8
    ISSN 1792-1015 ; 1792-0981
    ISSN (online) 1792-1015
    ISSN 1792-0981
    DOI 10.3892/etm.2021.9643
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Systematic Comparison of Structural Characterization of Polysaccharides from

    Ji, Xiaolong / Zhang, Shuli / Jin, Xueyuan / Yin, Chuanxue / Zhang, Yang / Guo, Xudan / Lin, Ximeng

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 2

    Abstract: To investigate the structural information differences ... ...

    Abstract To investigate the structural information differences of
    MeSH term(s) Ziziphus/chemistry ; Antioxidants/chemistry ; Plant Extracts/chemistry ; Fruit/chemistry ; Polysaccharides/chemistry
    Chemical Substances jujube extract ; Antioxidants ; Plant Extracts ; Polysaccharides
    Language English
    Publishing date 2023-01-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28020562
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