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  1. Article ; Online: Fully Automatic Fine-Grained Grading of Lumbar Intervertebral Disc Degeneration Using Regional Feature Recalibration Network.

    Tong, Nuo / Gou, Shuiping / Yang, Yulin / Liu, Bo / Bai, Yufeng / Liu, Jingzhong / Ding, Tan

    IEEE journal of biomedical and health informatics

    2024  Volume 28, Issue 5, Page(s) 3042–3054

    Abstract: Accurate fine-grained grading of lumbar intervertebral disc (LIVD) degeneration is essential for the diagnosis and treatment design of high-incidence low back pain. However, the grading accuracy is still challenged by lacking the fine-grained ... ...

    Abstract Accurate fine-grained grading of lumbar intervertebral disc (LIVD) degeneration is essential for the diagnosis and treatment design of high-incidence low back pain. However, the grading accuracy is still challenged by lacking the fine-grained degenerative details, which is mainly due to the existing grading methods are easily dominated by the salient nucleus pulposus regions in LIVD, overlooking the inconspicuous degeneration changes of the surrounding structures. In this study, a novel regional feature recalibration network (RFRecNet) is proposed to achieve accurate and reliable LIVD degeneration grading. Detection transformer (DETR) is first utilized to detect all LIVDs and then input to the proposed RFRecNet for the fine-grained grading. To obtain sufficient features from both the salient nucleus pulposus and the surrounding regions, a regional cube-based feature boosting and suppression (RC-FBS) module is designed to adaptively recalibrate the feature extraction and utilization from the various regions in LIVD, and a feature diversification (FD) module is proposed to capture the complementary semantic information from the multi-scale features for the comprehensive fine-grained degeneration grading. Extensive experiments were conducted on a clinically collected dataset, which consists of 500 MR scans with a total of 10225 LIVDs. An average grading accuracy of 90.5%, specificity of 97.5%, sensitivity of 90.8%, and Cohen's kappa correlation coefficient of 0.876 are obtained, which indicate that the proposed framework is promising to provide doctors with reliable and consistent fine-grained quantitative evaluation results of the LIVD degeneration conditions for the optimal surgical plan design.
    MeSH term(s) Humans ; Intervertebral Disc Degeneration/diagnostic imaging ; Lumbar Vertebrae/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Image Interpretation, Computer-Assisted/methods ; Algorithms
    Language English
    Publishing date 2024-05-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2024.3366780
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    Zs.A 5483: Show issues Location:
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  2. Article ; Online: Vibroarthrography-based Knee Lesions Location via Multi-Label Embedding Learning.

    Pan, Tongjie / Zhang, Yangwuyong / Dong, Qiaosen / Ye, Yalan / Li, Yuxiang / Wan, Zhengyi / Ding, Tan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2023  Volume 2023, Page(s) 1–4

    Abstract: Vibration arthrography (VAG) signals are widely utilized for knee pathology recognition due to their non-invasive and radiation-free nature. While most studies focus on determining knee health status, few have examined using VAG signals to locate knee ... ...

    Abstract Vibration arthrography (VAG) signals are widely utilized for knee pathology recognition due to their non-invasive and radiation-free nature. While most studies focus on determining knee health status, few have examined using VAG signals to locate knee lesions, which would greatly aid physicians in diagnosis and patient monitoring. To address this, we propose using Multi-Label classification (MLC) to efficiently locate different types of lesions within a single input. However, current MLC methods are not suitable for knee lesion location due to two major issues: 1) the positive-negative imbalance of pathological labels in knee pathology recognition is not considered, leading to poor performance, and 2) sparse label correlations between different lesions cannot be effectively extracted. Our solution is a label autoencoder incorporating a pre-trained model (PTM-LAE). To mitigate the positive-negative disequilibrium, we propose a pre-trained feature mapping model utilizing focal loss to dynamically adjust sample weights and focus on difficult-to-classify samples. To better explore the correlations between sparse labels, we introduce a Factorization-Machine-based neural network (DeepFM) that combines higher-order and lower-order correlations between different lesions. Experiments on our collected VAG data demonstrate that our model outperforms state-of-the-art methods.
    MeSH term(s) Humans ; Knee Joint/diagnostic imaging ; Vibration ; Monitoring, Physiologic/methods ; Arthrography/methods
    Language English
    Publishing date 2023-12-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC40787.2023.10340411
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment.

    Luo, Anlin / Gou, Shuiping / Tong, Nuo / Liu, Bo / Jiao, Licheng / Xu, Hu / Wang, Yingchun / Ding, Tan

    NPJ digital medicine

    2024  Volume 7, Issue 1, Page(s) 97

    Abstract: Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). However, accurately diagnosing the meniscus ... ...

    Abstract Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). However, accurately diagnosing the meniscus from a comprehensive knee MRI is challenging due to its limited and weak signal, significantly impeding the precise grading of meniscal injuries. In this study, a visual interpretable fine grading (VIFG) diagnosis model has been developed to facilitate intelligent and quantified grading of meniscal injuries. Leveraging a multilevel transfer learning framework, it extracts comprehensive features and incorporates an attributional attention module to precisely locate the injured positions. Moreover, the attention-enhancing feedback module effectively concentrates on and distinguishes regions with similar grades of injury. The proposed method underwent validation on FastMRI_Knee and Xijing_Knee dataset, achieving mean grading accuracies of 0.8631 and 0.8502, surpassing the state-of-the-art grading methods notably in error-prone Grade 1 and Grade 2 cases. Additionally, the visually interpretable heatmaps generated by VIFG provide accurate depictions of actual or potential meniscus injury areas beyond human visual capability. Building upon this, a novel fine grading criterion was introduced for subtypes of meniscal injury, further classifying Grade 2 into 2a, 2b, and 2c, aligning with the anatomical knowledge of meniscal blood supply. It can provide enhanced injury-specific details, facilitating the development of more precise surgical strategies. The efficacy of this subtype classification was evidenced in 20 arthroscopic cases, underscoring the potential enhancement brought by intelligent-assisted diagnosis and treatment for meniscal injuries.
    Language English
    Publishing date 2024-04-15
    Publishing country England
    Document type Journal Article
    ISSN 2398-6352
    ISSN (online) 2398-6352
    DOI 10.1038/s41746-024-01082-z
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  4. Article ; Online: Impact of trainees involvement on surgical outcomes of abdominal and laparoscopic myomectomy.

    Fajardo, Olga M / Grebenyuk, Ekaterina / Chaves, Katherine F / Zhao, Zhiguo / Ding, Tan / Curlin, Howard L / Harvey, Lara F B

    Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology

    2024  Volume 44, Issue 1, Page(s) 2330697

    Abstract: Background: To determine the association of trainees involvement with surgical outcomes of abdominal and laparoscopic myomectomy including operative time, rate of transfusion, and complications.: Methods: A retrospective cohort study of 1145 patients ...

    Abstract Background: To determine the association of trainees involvement with surgical outcomes of abdominal and laparoscopic myomectomy including operative time, rate of transfusion, and complications.
    Methods: A retrospective cohort study of 1145 patients who underwent an abdominal or laparoscopic myomectomy from 2008-2012 using the American College of Surgeons National Surgical Quality Improvement Program database (Canadian Task Force Classification II-2).
    Results: Overall, 64% of myomectomies involved trainees. Trainees involvement was associated with a longer operative time for abdominal myomectomies (mean difference 20.17 minutes, 95% Confidence Interval (CI) [11.37,28.97],
    Conclusion: Trainees involvement was associated with increased operative time, rate of transfusion, and complications for abdominal myomectomy, however, did not impact surgical outcomes for laparoscopic myomectomy.
    MeSH term(s) Female ; Humans ; Uterine Myomectomy/adverse effects ; Uterine Neoplasms/surgery ; Retrospective Studies ; Laparoscopy/adverse effects ; Treatment Outcome
    Language English
    Publishing date 2024-03-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 604639-3
    ISSN 1364-6893 ; 0144-3615
    ISSN (online) 1364-6893
    ISSN 0144-3615
    DOI 10.1080/01443615.2024.2330697
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    Zs.B 2461: Show issues Location:
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  5. Article ; Online: Should body mass index replace age to drive the decision for endometrial sampling in premenopausal women with abnormal uterine bleeding?

    Helou, Christine M / Zhao, Zhiguo / Ding, Tan / Anderson, Ted L / Harvey, Lara F B

    Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology

    2022  Volume 38, Issue 5, Page(s) 432–437

    Abstract: Objective: This study aimed to evaluate risk factors for endometrial intraepithelial neoplasia/malignancy in premenopausal women with abnormal uterine bleeding or oligomenorrhea. Specifically, we aimed to elucidate whether body mass index (BMI) or age ... ...

    Abstract Objective: This study aimed to evaluate risk factors for endometrial intraepithelial neoplasia/malignancy in premenopausal women with abnormal uterine bleeding or oligomenorrhea. Specifically, we aimed to elucidate whether body mass index (BMI) or age confers a higher risk.
    Study design: A retrospective cohort study was performed at a large academic center examining risk factors for endometrial hyperplasia/malignancy in premenopausal women undergoing endometrial sampling.
    Results: Of the 4170 women ages 18-51 who underwent endometrial sampling from 1987 to 2019, 77 (1.85%) were found to have endometrial intraepithelial neoplasia or malignancy. Clinical predictors of EIN/malignancy in this population included obesity (OR: 3.84, 95%,
    Conclusions: Increased BMI, may be more predictive of endometrial hyperplasia/malignancy than age in premenopausal women with abnormal uterine bleeding. Modification of evaluation guidelines in a contemporary demographic setting could be considered.
    MeSH term(s) Adolescent ; Adult ; Body Mass Index ; Colonic Neoplasms/complications ; Colonic Neoplasms/pathology ; Endometrial Hyperplasia/complications ; Endometrial Hyperplasia/diagnosis ; Endometrial Neoplasms/complications ; Endometrial Neoplasms/diagnosis ; Endometrial Neoplasms/epidemiology ; Endometrium/pathology ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Uterine Diseases/pathology ; Uterine Hemorrhage/epidemiology ; Uterine Neoplasms/pathology ; Young Adult
    Language English
    Publishing date 2022-04-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 639237-4
    ISSN 1473-0766 ; 0951-3590
    ISSN (online) 1473-0766
    ISSN 0951-3590
    DOI 10.1080/09513590.2022.2058484
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2284: Show issues Location:
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    Zs.MO 608: Show issues

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  6. Article ; Online: A method of feature fusion and dimension reduction for knee joint pathology screening and separability evaluation criteria.

    Ma, Chunyi / Yang, Jingyi / Wang, Qian / Liu, Hao / Xu, Hu / Ding, Tan / Yang, Jianhua

    Computer methods and programs in biomedicine

    2022  Volume 224, Page(s) 106992

    Abstract: Background and objective: Knee-joint vibroarthrographic (VAG) signal is an effective method for performing a non-invasive knee osteoarthritis (KOA) diagnosis, VAG signal analysis plays a crucial role in achieving the early pathological screening of the ... ...

    Abstract Background and objective: Knee-joint vibroarthrographic (VAG) signal is an effective method for performing a non-invasive knee osteoarthritis (KOA) diagnosis, VAG signal analysis plays a crucial role in achieving the early pathological screening of the knee joint. In order to improve the accuracy of knee pathology screening and to investigate the method suitable for embedded in wearable diagnostic device for knee joint, this paper proposes a knee pathology screening method. Aiming to fill the gap of lacking suitable and unified evaluation indexes for single feature and fusion feature, this paper proposes feature separability evaluation criteria.
    Methods: In this paper, we propose a knee joint pathology screening method based on feature fusion and dimension reduction combined with random forest classifier, as well as, the evaluation criteria of feature separability. As for pathological screening method, this paper proposes the idea of multi-dimensional feature fusion, using principal component analysis (PCA) to reduce the redundant part of fusion feature (F-F) to obtain deep fusion feature (D-F-F) with more separability. Meanwhile, this paper proposes the maximal information coefficient (MIC) and correlation matrix collinearity (CMC) feature evaluation criteria, these not only can be used as new feature quantitative metrics, but also illustrate that the divisibility of the deep fusion feature is more potent than that before feature dimension reduction.
    Results: The experimental results show that the method in this paper has good performance in pathology classification on random forest classifier with 96% accuracy, especially the accuracy of SVM and K-NN are also improved after feature dimension reduction.
    Conclusion: The results indicate that this classification research has high screening efficiency for KOA diagnosis and could provide a feasible method for computer-assisted non-invasive diagnosis of KOA. And we provide a novel way for separability evaluation of VAG signal features.
    MeSH term(s) Diagnosis, Computer-Assisted ; Humans ; Knee Joint/diagnostic imaging ; Osteoarthritis, Knee/diagnostic imaging ; Signal Processing, Computer-Assisted ; Vibration
    Language English
    Publishing date 2022-06-30
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2022.106992
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  7. Article ; Online: Monitoring deterioration of knee osteoarthritis using vibration arthrography in daily activities.

    Ye, Yalan / Wan, Zhengyi / Liu, Benyuan / Xu, Hu / Wang, Qian / Ding, Tan

    Computer methods and programs in biomedicine

    2021  Volume 213, Page(s) 106519

    Abstract: Background and objective: Pathological recognition of knee joint using vibration arthrography (VAG) is increasingly becoming prevailed, due to the non-invasive and non-radiative benefits. However, knee joint health monitoring using VAG signals is a ... ...

    Abstract Background and objective: Pathological recognition of knee joint using vibration arthrography (VAG) is increasingly becoming prevailed, due to the non-invasive and non-radiative benefits. However, knee joint health monitoring using VAG signals is a difficult problem, since VAG signals are contaminated by strong motion artifacts (MA) caused by knee movements during daily activities, such as squatting. So far few works have investigated this problem. Existing studies mainly focused on clinical diagnosis of knee disorders for 2-class (normal/abnormal) classification using VAG signals, which are less contaminated by MA in the scene when subjects perform knee extension and flexion movements in seated position. The purpose of this study is to propose a framework to monitor knee joint health during daily activities.
    Methods: In this paper, a general framework is designed to monitor knee joint health, which consists of VAG enhancement, feature extraction and fusion, and classification. VAG enhancement aims to remove MA and irrelevant components of knee joint pathologies in raw VAG signals. Distinctive features from enhanced VAG signals are obtained in feature extraction and fusion. Classification can not only distinguish whether the knee joint is normal or abnormal, but also distinguish the grade of deterioration of knee osteoarthritis.
    Results: 813 VAG signals from VAG-OA dataset, which is currently the largest VAG dataset, have been collected from medical cases in Xijing Hospital of the Fourth Military Medical University during daily activities. Experimental results on VAG-OA dataset showed that the accuracy of 2-class (normal/abnormal) classification was 95.9% with sensitivity 98.1% and specificity 93.3%. For 5-class classification based on deterioration grades of osteoarthritis (OA), we obtained accuracy 74.4%, sensitivity 52.6% and specificity 78.3%.
    Conclusion: The VAG-OA dataset can be used not only for knee joint health monitoring but also for clinical diagnosis. The designed framework on VAG-OA dataset has high classification accuracy, which is of great value to monitor knee joint health using VAG signals during daily activities. The results also demonstrate that the designed framework significantly outperforms the baselines and several state-of-the-art methods.
    MeSH term(s) Arthrography ; Humans ; Knee Joint/diagnostic imaging ; Osteoarthritis, Knee/diagnostic imaging ; Signal Processing, Computer-Assisted ; Vibration
    Language English
    Publishing date 2021-11-12
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2021.106519
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  8. Article ; Online: Enhanced parasympathetic cholinergic activity with galantamine inhibited lipid-induced oxidative stress in obese African Americans.

    Parsa, Dena / Aden, Luul A / Pitzer, Ashley / Ding, Tan / Yu, Chang / Diedrich, Andre / Milne, Ginger L / Kirabo, Annet / Shibao, Cyndya A

    Molecular medicine (Cambridge, Mass.)

    2022  Volume 28, Issue 1, Page(s) 60

    Abstract: Background: African Americans (AAs) are disproportionately affected by cardiovascular disease (CVD), they are 20% more likely to die from CVD than whites, chronic exposure to inflammation and oxidative stress contributes to CVD. In previous studies, ... ...

    Abstract Background: African Americans (AAs) are disproportionately affected by cardiovascular disease (CVD), they are 20% more likely to die from CVD than whites, chronic exposure to inflammation and oxidative stress contributes to CVD. In previous studies, enhancing parasympathetic cholinergic activity has been shown to decrease inflammation. Considering that AAs have decreased parasympathetic activity compared to whites, we hypothesize that stimulating it with a central acetylcholinesterase (AChE) inhibitor, galantamine, would prevent lipid-induced oxidative stress.
    Objective: To test the hypothesis that acute dose of galantamine, an AChE inhibitor, decreases lipid-induced oxidative stress in obese AAs.
    Methods: Proof-of-concept, double-blind, randomized, placebo-controlled, crossover study that tested the effect of a single dose of 16 mg of galantamine versus placebo on lipid-induced oxidative stress in obese AAs. Subjects were studied on two separate days, one week apart. In each study day, 16 mg or matching placebo was administered before 20% intralipids infusion at doses of 0.8 mL/m2/min with heparin at doses of 200 U/h for 4 h. Outcomes were assessed at baseline, 2 and 4 h during the infusion.
    Main outcome measures: Changes in F
    Results: A total of 32 obese AA women were screened and fourteen completed the study (age 37.8 ± 10.70 years old, BMI 38.7 ± 3.40 kg/m
    Conclusions: In this pilot, proof-of-concept study, enhancing parasympathetic nervous system (PNS) cholinergic activity with galantamine inhibited lipid-induced oxidative stress and inflammation induced by lipid infusion in obese AAs.
    Trial registration: ClinicalTrials.gov identifiers NCT02365285.
    MeSH term(s) Acetylcholinesterase ; Adult ; African Americans ; Cardiovascular Diseases ; Cholinergic Agents ; Cross-Over Studies ; Double-Blind Method ; Female ; Galantamine/pharmacology ; Galantamine/therapeutic use ; Humans ; Inflammation/drug therapy ; Interleukin-6 ; Leukocytes, Mononuclear ; Lipids ; Middle Aged ; Obesity/drug therapy ; Oxidative Stress
    Chemical Substances Cholinergic Agents ; Interleukin-6 ; Lipids ; Galantamine (0D3Q044KCA) ; Acetylcholinesterase (EC 3.1.1.7)
    Language English
    Publishing date 2022-06-03
    Publishing country England
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 1283676-x
    ISSN 1528-3658 ; 1076-1551
    ISSN (online) 1528-3658
    ISSN 1076-1551
    DOI 10.1186/s10020-022-00486-5
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  9. Article ; Online: Correction to: Dose, Timing, and Spectrum of Prenatal Antibiotic Exposure and Risk of Childhood Asthma.

    Turi, Kedir N / Gebretsadik, Tebeb / Ding, Tan / Abreo, Andrew / Stone, Cosby / Hartert, Tina V / Wu, Pingsheng

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2022  Volume 74, Issue 7, Page(s) 1321

    Language English
    Publishing date 2022-04-12
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciac148
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  10. Article: Potential targets and mechanisms of photobiomodulation for spinal cord injury.

    Ju, Cheng / Ma, Yang-Guang / Zuo, Xiao-Shuang / Wang, Xuan-Kang / Song, Zhi-Wen / Zhang, Zhi-Hao / Zhu, Zhi-Jie / Li, Xin / Liang, Zhuo-Wen / Ding, Tan / Wang, Zhe / Hu, Xue-Yu

    Neural regeneration research

    2023  Volume 18, Issue 8, Page(s) 1782–1788

    Abstract: As a classic noninvasive physiotherapy, photobiomodulation, also known as low-level laser therapy, is widely used for the treatment of many diseases and has anti-inflammatory and tissue repair effects. Photobiomodulation has been shown to promote spinal ... ...

    Abstract As a classic noninvasive physiotherapy, photobiomodulation, also known as low-level laser therapy, is widely used for the treatment of many diseases and has anti-inflammatory and tissue repair effects. Photobiomodulation has been shown to promote spinal cord injury repair. In our previous study, we found that 810 nm low-level laser therapy reduced the M1 polarization of macrophages and promoted motor function recovery. However, the mechanism underlying this inhibitory effect is not clear. In recent years, transcriptome sequencing analysis has played a critical role in elucidating the progression of diseases. Therefore, in this study, we performed M1 polarization on induced mouse bone marrow macrophages and applied low-level laser therapy. Our sequencing results showed the differential gene expression profile of photobiomodulation regulating macrophage polarization. We analyzed these genes using gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. Networks of protein-protein interactions and competing RNA endogenous networks were constructed. We found that photobiomodulation inhibited STAT3 expression through increasing the expression of miR-330-5p, and that miR-330-5p binding to STAT3 inhibited STAT3 expression. Inducible nitric oxide synthase showed trends in changes similar to the changes in STAT3 expression. Finally, we treated a mouse model of spinal cord injury using photobiomodulation and confirmed that photobiomodulation reduced inducible nitric oxide synthase and STAT3 expression and promoted motor function recovery in spinal cord injury mice. These findings suggest that STAT3 may be a potential target of photobiomodulation, and the miR-330-5p/STAT3 pathway is a possible mechanism by which photobiomodulation has its biological effects.
    Language English
    Publishing date 2023-02-23
    Publishing country India
    Document type Journal Article
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.361534
    Database MEDical Literature Analysis and Retrieval System OnLINE

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