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Article ; Online: Evaluation of Short-Term Efficacy of PD-1 Monoclonal Antibody Immunotherapy for Lymphoma by Positron Emission Tomography/Computed Tomography Imaging with Convolutional Neural Network Image Registration Algorithm.

Fang, Jie / Chen, Zhendong

2022 Volume 2022, Page(s) 1388517

Abstract: The objective of this study was to investigate the value of PET/CT imaging based on CNN image registration algorithm in evaluating the short-term efficacy of PD-1 monoclonal antibody immunotherapy for lymphoma. 36 patients with advanced lymphoma ... ...

Abstract	The objective of this study was to investigate the value of PET/CT imaging based on CNN image registration algorithm in evaluating the short-term efficacy of PD-1 monoclonal antibody immunotherapy for lymphoma. 36 patients with advanced lymphoma confirmed by histology or cytochemistry and treated with PD-1 monoclonal antibody admitted to hospital were included. In addition, 38 normal controls were from healthy volunteers. All patients were treated with PD-1 monoclonal antibody intravenous infusion, and the image data were processed by CT with intelligent segmentation algorithm. Medication method: nivolumab 3 mg/kg for 2 weeks; pembrolizumab 2 mg/kg for 3 weeks; and continuous medication until tumor progression or unacceptable adverse reactions. Efficacy was evaluated every 3 cycles. Imaging examinations were performed after 3 weeks of medication to evaluate the therapeutic effect. The concentrations of IL-2, IL-7, basic fibroblast growth factor (FGF), granulocyte-macrophage colony-stimulating factor (GM-CSF), platelet-derived growth factor (PDGF-bb), and other factors in the normal control group were significantly higher than those in the advanced lymphoma patients, and the differences were statistically significant (
MeSH term(s)	Algorithms ; Antibodies, Monoclonal/therapeutic use ; Humans ; Immunotherapy ; Lymphoma/diagnostic imaging ; Lymphoma/drug therapy ; Neural Networks, Computer ; Positron Emission Tomography Computed Tomography ; Positron-Emission Tomography ; Programmed Cell Death 1 Receptor ; Tomography, X-Ray Computed/methods
Chemical Substances	Antibodies, Monoclonal ; Programmed Cell Death 1 Receptor
Language	English
Publishing date	2022-08-31
Publishing country	England
Document type	Journal Article
ZDB-ID	2232678-9
ISSN	1555-4317 ; 1555-4309
ISSN (online)	1555-4317
ISSN	1555-4309
DOI	10.1155/2022/1388517
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Article ; Online: PJ‑001, a small‑molecule proteolysis‑targeting chimera, ameliorates atopic dermatitis‑like inflammation in mice by inhibiting the JAK2/STAT3 pathway and repairing the skin barrier.

Lin, Pei / Chen, Zhendong / Lu, Yinying / Shi, Hongyu / Lin, Jun

Experimental and therapeutic medicine

2024 Volume 27, Issue 4, Page(s) 176

Abstract: Atopic dermatitis (AD) is a common allergic skin disease, and its pathogenesis involves genetic and environmental factors, as well as the immune response and skin barrier. PJ-001 is a small-molecule proteolysis-targeting chimera, which can degrade ... ...

Abstract	Atopic dermatitis (AD) is a common allergic skin disease, and its pathogenesis involves genetic and environmental factors, as well as the immune response and skin barrier. PJ-001 is a small-molecule proteolysis-targeting chimera, which can degrade proteins related to the Janus kinase 2/signal transducer and activator of transcription 3 (JAK2/STAT3) pathway. In the present study, 0.5% 2,4-dinitrofluorobenzene was used to induce a mouse model of AD. Following treatment with PJ-001, the number of scratches and the severity of skin damage in the AD mice were recorded. Pathological changes in skin lesions were observed with hematoxylin and eosin staining. The expression levels of JAK2/STAT3, Toll-like receptor 4/nuclear factor-κB (TLR4/NF-κB), Beclin 1 and microtubule-associated protein 1 light chain 3 (LC3) were detected using western blotting. Furthermore, reverse transcription-PCR was used to detect the mRNA expression levels of filaggrin (FLG) and keratin 17, and the change in interleukin-10 levels in the splenic tissue of the mice. Compared with in the control group, the model group exhibited severe skin lesions. Following treatment with PJ-001, the AD-like inflammation in mice decreased. The expression levels of LC3 II/LC3 I and Beclin 1 were significantly reduced (P<0.01), and the expression levels of JAK2, STAT3, TLR4 and NF-κB were significantly downregulated (P<0.001). Additionally, the mRNA expression levels of FLG were significantly upregulated (P<0.001). These results indicated that PJ-001 may alleviate the skin condition in a mouse model of AD. The underlying mechanism may involve inhibition of the JAK/STAT signaling pathway, thereby suppressing the release of inflammatory factors, reducing excessive autophagy at the site of skin lesions, and enhancing the skin barrier function. In conclusion, PJ-001 could be considered a potential therapeutic option for AD.
Language	English
Publishing date	2024-02-29
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.2024.12464
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Article ; Online: Use of pus metagenomic next-generation sequencing for efficient identification of pathogens in patients with sepsis.

Chen, Zhendong / Ye, Tingting / He, Yuxi / Pan, Aijun / Mei, Qing

Folia microbiologica

2024

Abstract: The positive detection rate of blood metagenomic next-generation sequencing (mNGS) was still too low to meet clinical needs, while pus from the site of primary infection may be advantageous for identification of pathogens. To assess the value of mNGS ... ...

Abstract	The positive detection rate of blood metagenomic next-generation sequencing (mNGS) was still too low to meet clinical needs, while pus from the site of primary infection may be advantageous for identification of pathogens. To assess the value of mNGS using pus in patients with sepsis, thirty-five samples were collected. Pathogen identification and mixed infection diagnosis obtained by use of mNGS or cultivation methods were compared. Fifty-three aerobic or facultative anaerobes, 59 obligate anaerobes and 7 fungi were identified by the two methods. mNGS increased the accuracy rate of diagnosing aerobic or facultative anaerobic infections from 44.4% to 94.4%; mNGS also increased the sensitivity of diagnosing obligate anaerobic infections from 52.9% to 100.0%; however, mNGS did not show any advantage in terms of fungal infections. Culture and mNGS identified 1 and 24 patients with mixed infection, respectively. For obligate anaerobes, source of microorganisms was analyzed. The odontogenic bacteria all caused empyema (n = 7) or skin and soft tissue infections (n = 5), whereas the gut-derived microbes all caused intra-abdominal infections (n = 7). We also compared the clinical characteristics of non-obligate anaerobic and obligate anaerobic infection groups. The SOFA score [9.0 (7.5, 14.3) vs. 5.0 (3.0, 8.0), P = 0.005], procalcitonin value [4.7 (1.8, 39.9) vs. 2.50 (0.7, 8.0), P = 0.035], the proportion of septic shock (66.7% vs. 35.3%, P = 0.044) and acute liver injury (66.7% vs. 23.5%, P = 0.018) in the non-obligate anaerobic infection group were significantly higher than those in the obligate anaerobic infection group. In patients with sepsis caused by purulent infection, mNGS using pus from the primary lesion may yield more valuable microbiological information.
Language	English
Publishing date	2024-02-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	240503-9
ISSN	1874-9356 ; 0015-5632
ISSN (online)	1874-9356
ISSN	0015-5632
DOI	10.1007/s12223-024-01134-7
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Article ; Online: Surface defect detection of industrial components based on vision.

Chen, Zhendong / Feng, Xuefeng / Liu, Li / Jia, Zhenhong

Scientific reports

2023 Volume 13, Issue 1, Page(s) 22136

Abstract: Early and effective surface defect detection in industrial components can avoid the occurrence of serious safety hazards. Since most industrial component surfaces have tiny defects with high similarity to the detection background, there are often issues ... ...

Abstract	Early and effective surface defect detection in industrial components can avoid the occurrence of serious safety hazards. Since most industrial component surfaces have tiny defects with high similarity to the detection background, there are often issues of missed or false detections when defects are detected, leading to low detection accuracy. To deal with the aforementioned issue, this essay suggests a high-precision detection model for surface defects in industrial components based on the YOLOv5 algorithm. First, the original spatial pyramid pooling (SPPF) is innovated by proposing the SPPFKCSPC module, which improves the network's capacity for feature extraction from targets at different scales and fuses multiscale features better. Then, C3 is combined with SPPFKCSPC and replaces the C3 module of the backbone network, which improves feature expression and enhances the receptive field of the network. Finally, the coordinate attention mechanism (CA) has been embedded into the YOLOv5 neck network, and the bounding box regression loss function of the algorithm is improved to EIOU, not only improving the precision of the target localization and recognition model but also enhancing the overall network performance. Based on the public datasets NEU-DET and PV-Multi-Defect, multiple sets of experiments were conducted using innovative algorithms. On the NEU-DET dataset, we got a mean average accuracy (mAP) of 88.3%, which is 7.2% greater than the original approach. On the PV-Multi-Defect dataset, the mAP value reached 97.5%, an improvement of 1.5%. As shown by the experimental data, the detection results significantly improved.
Language	English
Publishing date	2023-12-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-49359-9
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Article: Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability.

Chen, Zhendong / Ghosh, Aritra / Lopez, Neil Stephen A

Heliyon

2023 Volume 9, Issue 10, Page(s) e20836

Abstract: The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential ...

Abstract	The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential solution to alleviate the grid challenges of increased charging demand. In this work, the authors investigate a reliability analysis of a 2 MW standalone photovoltaic electric vehicle charging station (PVEVCS) using the loss of power supply probability(LPSP). The PVEVCS model consists of a PV system, a battery energy storage system (BESS) and a CS, using the climate data from Camborne, UK and classifying it into high and low irradiation sections. Next, four different charging demand profiles are selected to examine the models' LPSP. Later, the chosen charging demand profiles are optimised using various combinations of PV systems, BESS and CS. It is concluded that the different solar irradiation had a significant effect on the LPSP. Under the same combination, higher PV capacity has a more positive impact on reducing daytime LPSP, higher BESS capacity has a more significant effect on lowering nighttime LPSP and larger CS capacity has a more significant impact on declining hourly LPSP.
Language	English
Publishing date	2023-10-10
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e20836
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Article ; Online: Impact of low serum iron on treatment outcome of PD-1 inhibitors in advanced gastric cancer.

Yang, Yu / Li, Ya / Chen, Zhendong

BMC cancer

2023 Volume 23, Issue 1, Page(s) 1095

Abstract: Background: The aim of this study was to investigate the influence of serum iron levels in advanced gastric cancer (GC) patients treated with programmed cell death protein-1 (PD-1) inhibitors.: Methods: We retrospectively reviewed 149 GC patients who ...

Abstract	Background: The aim of this study was to investigate the influence of serum iron levels in advanced gastric cancer (GC) patients treated with programmed cell death protein-1 (PD-1) inhibitors. Methods: We retrospectively reviewed 149 GC patients who were treated with PD-1 inhibitors at our center. Clinicopathological characteristics, laboratory data, and clinical outcomes were analyzed. Results: Multivariate analysis showed that Eastern Cooperative Oncology Group performance status (ECOG PS), histological subtype, and baseline serum iron levels were independent prognostic factors for overall survival (OS), while ECOG PS, multiple metastatic sites, and baseline serum iron levels were independent prognostic factors for progression-free survival (PFS). Patients with baseline low serum iron levels (LSI) had a significantly shorter median OS and PFS compared to patients with normal serum iron levels (NSI) (Median OS: 7 vs. 14 months, p = 0.001; median PFS: 3 vs. 5 months, p = 0.005). Patients with baseline LSI had a disease control rate (DCR) of 58.3% at 2 months after PD-1 inhibitor initiation (M2), compared to 81.1% in patients with NSI (p = 0.005). Patients with baseline LSI had a DCR of 43.8% at 4 months, compared to 64.2% in patients with NSI (p = 0.017). Conclusions: LSI was associated with worse OS, PFS, and DCR in GC patients treated with PD-1 inhibitors and might be a quick and efficient biomarker to predict the efficacy of PD-1 inhibitors.
MeSH term(s)	Humans ; Immune Checkpoint Inhibitors ; Retrospective Studies ; Stomach Neoplasms/drug therapy ; Treatment Outcome ; Iron
Chemical Substances	Immune Checkpoint Inhibitors ; Iron (E1UOL152H7)
Language	English
Publishing date	2023-11-10
Publishing country	England
Document type	Journal Article
ZDB-ID	2041352-X
ISSN	1471-2407 ; 1471-2407
ISSN (online)	1471-2407
ISSN	1471-2407
DOI	10.1186/s12885-023-11620-9
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Article ; Online: Therapeutic drugs of gout: The progress in target selection.

Lin, Pei / Chen, Zhendong / Lin, Jun

International journal of rheumatic diseases

2023 Volume 27, Issue 1, Page(s) e15022

MeSH term(s)	Humans ; Gout/drug therapy ; Gout Suppressants/adverse effects
Chemical Substances	Gout Suppressants
Language	English
Publishing date	2023-12-28
Publishing country	England
Document type	Editorial
ZDB-ID	2426924-4
ISSN	1756-185X ; 1756-1841
ISSN (online)	1756-185X
ISSN	1756-1841
DOI	10.1111/1756-185X.15022
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Article: A reliable evaluation approach for multichannel signal denoising algorithms based on a novel arterial pulse acquisition system.

Chen, Chao / Chen, Zhendong / Zhou, Yuqi / Hao, Yinan / Peng, Bo / Xie, Xiaohua / Xie, Haiqing

Heliyon

2024 Volume 10, Issue 5, Page(s) e26140

Abstract: Background: Tactile sensors are utilized to measure multichannel pulse signals in pulse wave analysis (PWA). Owing to noise interferences, researchers have applied various denoising algorithms on multichannel pulse signals. To comprehensively assess ... ...

Abstract	Background: Tactile sensors are utilized to measure multichannel pulse signals in pulse wave analysis (PWA). Owing to noise interferences, researchers have applied various denoising algorithms on multichannel pulse signals. To comprehensively assess these algorithms, numerous evaluation metrics have been proposed. However, these studies did not investigate the noise mechanisms in depth and lacked reference pulse signals, thus making the evaluations insufficiently objective. Materials and methods: An applicable denoising evaluation approach for multichannel pulse signal algorithms based on an arterial pulse acquisition system is established by superimposing real-world multichannel noise to the reference signals. The system, comprising a SphygmoCor and a uniaxial noise acquisition device, allows us to acquire single-reference pulse signals as well as real-world multichannel noise. Results: We assess eight popular denoising algorithms with three evaluation metrics, including amplitude relative error (ARE), mean square error (MSE) and increased percentage signal-noise ratio (SNR%). Our proposed approach provides accurate and objective evaluations of multichannel pulse signal denoising. Notably, classic algorithms for single-channel denoising are not recommended for multichannel denoising. Comparatively, RPCA-based algorithms can denoise pulse signals independently for each channel. Conclusion: This study sets the stage for the establishment of accurate and objective pulse signal denoising evaluations and provides insights for data-driven clinical diagnoses in cardiovascular medicine.
Language	English
Publishing date	2024-02-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e26140
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Article ; Online: Cnicin promotes functional nerve regeneration.

Gobrecht, Philipp / Gebel, Jeannette / Leibinger, Marco / Zeitler, Charlotte / Chen, Zhendong / Gründemann, Dirk / Fischer, Dietmar

Phytomedicine : international journal of phytotherapy and phytopharmacology

2024 Volume 129, Page(s) 155641

Abstract: Background: The limited regenerative capacity of injured axons hinders functional recovery after nerve injury. Although no drugs are currently available in the clinic to accelerate axon regeneration, recent studies show the potential of vasohibin ... ...

Abstract	Background: The limited regenerative capacity of injured axons hinders functional recovery after nerve injury. Although no drugs are currently available in the clinic to accelerate axon regeneration, recent studies show the potential of vasohibin inhibition by parthenolide, produced in Tanacetum parthenium, to accelerate axon regeneration. However, due to its poor oral bioavailability, parthenolide is limited to parenteral administration. Purpose: This study investigates another sesquiterpene lactone, cnicin, produced in Cnicus benedictus for promoting axon regeneration. Results: Cnicin is equally potent and effective in facilitating nerve regeneration as parthenolide. In culture, cnicin promotes axon growth of sensory and CNS neurons from various species, including humans. Neuronal overexpression of vasohibin increases the effective concentrations comparable to parthenolide, suggesting an interaction between cnicin and vasohibin. Remarkably, intravenous administration of cnicin significantly accelerates functional recovery after severe nerve injury in various species, including the anastomosis of severed nerves. Pharmacokinetic analysis of intravenously applied cnicin shows a blood half-life of 12.7 min and an oral bioavailability of 84.7 % in rats. Oral drug administration promotes axon regeneration and recovery after nerve injury in mice. Conclusion: These results highlight the potential of cnicin as a promising drug to treat axonal insults and improve recovery.
Language	English
Publishing date	2024-04-14
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1205240-1
ISSN	1618-095X ; 0944-7113
ISSN (online)	1618-095X
ISSN	0944-7113
DOI	10.1016/j.phymed.2024.155641
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Zs.A 4115: Show issues

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Article ; Online: Identification of immune-related genes and patient selection for hepatocellular carcinoma immunotherapy.

Chen, Zhen-Dong / Luo, Jia-Yuan / Ye, Yu-Ping / Dang, Yi-Wu

Translational cancer research

2023 Volume 12, Issue 5, Page(s) 1210–1231

Abstract: Background: Hepatocellular carcinoma (HCC) is a malignant disease with a poor prognosis. Among the treatment strategies for HCC, tumor immunotherapy (TIT) is a promising research hotspot, in which identifying novel immune-related biomarkers and ... ...

Abstract	Background: Hepatocellular carcinoma (HCC) is a malignant disease with a poor prognosis. Among the treatment strategies for HCC, tumor immunotherapy (TIT) is a promising research hotspot, in which identifying novel immune-related biomarkers and selecting suitable patient population are urgent issues to be solved. Methods: In this study, an abnormal expression map of HCC cell genes was constructed using public high-throughput data from 7,384 samples (3,941 HCC Results: HSP90AA1 Conclusions: These findings provide new insights into the selection of candidate biomarkers and patient populations for future HCC immunotherapy.
Language	English
Publishing date	2023-04-13
Publishing country	China
Document type	Journal Article
ZDB-ID	2901601-0
ISSN	2219-6803 ; 2218-676X
ISSN (online)	2219-6803
ISSN	2218-676X
DOI	10.21037/tcr-22-2304
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