With the increasing number of stroke patients, there is an urgent need for an accessible, scientific, and reliable evaluation method for stroke rehabilitation. Although many rehabilitation stage evaluation methods based on the wearable sensors and machine learning algorithm have been developed, the interpretable evaluation of the Brunnstrom recovery stage of the lower limb (BRS-L) is still lacking. The paper propose an interpretable BRS-L evaluation method based on wearable sensors. We collected lower limb motion data and plantar pressure data of 20 hemiplegic patients and 10 healthy individuals using seven Inertial Measurement Units (IMUs) and two plantar pressure insoles. Then we extracted gait features from the motion data and pressure data. By using feature selection based on feature importance, we improved the interpretability of the machine learning-based evaluation method. Several machine learning models are evaluated on the dataset, the results show that k-Nearest Neighbor has the best prediction performance and achieves 94.2% accuracy with an input of 18 features. Our method provides a feasible solution for precise rehabilitation and home-based rehabilitation of hemiplegic patients.

Purpose. The most prevalent primary malignant tumor of CNS is glioma, which has a dismal prognosis. The theory of oxidative stress is one of the important theories in the study of its occurrence and development mechanism. In this study, the impacts of PCBP2 on glioma sufferers and the possible mechanisms were examined. Methods. Patients with glioma were obtained from May 2017 to July 2018. Quantitative PCR, microarray analysis, western blot analysis, and immunofluorescence were used in this experiment. Results. PCBP2 mRNA expression level and protein expression in patients with glioma were upregulated compared with paracancerous tissue. OS and DFS of PCBP2 low expression in patients with glioma were higher than those of PCBP2 high expression. PCBP2 promoted the progression and metastasis of glioma. PCBP2 reduced oxidative stress-induced apoptosis of glioma. PCBP2 suppressed the cGAS/STING pathway of glioma. PCBP2 protein interlinked with cGAS and cGAS was one target for PCBP2. METTL3-mediated m6A modification increases PCBP2 stability. Conclusion. Along the cGAS-STING signal pathway, PCBP2 decreased the apoptosis that oxidative stress-induced glioma caused, which might be a potential target to suppress oxidative stress-induced apoptosis of glioma.

IntroductionCompensatory movements usually occur in stroke survivors with hemiplegia, which is detrimental to recovery. This paper proposes a compensatory movement detection method based on near-infrared spectroscopy (NIRS) technology and verifies its feasibility using a machine learning algorithm. We present a differential-based signal improvement (DBSI) method to enhance NIRS signal quality and discuss its effect on improving detection performance.MethodTen healthy subjects and six stroke survivors performed three common rehabilitation training tasks while the activation of six trunk muscles was recorded using NIRS sensors. After data preprocessing, DBSI was applied to the NIRS signals, and two time-domain features (mean and variance) were extracted. An SVM algorithm was used to test the effect of the NIRS signal on compensatory behavior detection.ResultsClassification results show that NIRS signals have good performance in compensatory detection, with accuracy rates of 97.76% in healthy subjects and 97.95% in stroke survivors. After using the DBSI method, the accuracy improved to 98.52% and 99.47%, respectively.DiscussionCompared with other compensatory motion detection methods, our proposed method based on NIRS technology has better classification performance. The study highlights the potential of NIRS technology for improving stroke rehabilitation and warrants further investigation.

Background: Osteoarthritis (OA) is a disorder of joints involving degeneration and destruction of cartilages. Inflammation has been found to play an important role in the development of OA. Hidrosmin (HDS) is a flavone useful in venous insufficiency disorders and cancer. However, its role in OA remains unexplored. Here we reported the anti-inflammatory effect of Hidrosmin in OA utilizing both in vivo and in vitro studies. Methods: The primary chondrocytes were used for in vitro studies. Chondrocytes were submitted to immunofluorescence and toluidine blue staining. C57BL/6 male mice were used for In vivo experiment for creating an osteoarthritis model by surgical destabilization of the medial meniscus. CCK-8 assay was done for cell viability studies, Levels of nitric oxide were studied by Griess reaction, western blot analysis and qRT-PCR analysis was done for analyzing the levels of PGE-2, TNF-α, IL-6, collagen II, COX-2, iNOS, MMP-13, ADAMTS, Nrf2, HO-1, p65 and IκBα. Immunohistochemical assay and histopathological analysis were done for tissue studies. In silico analysis was done by performing molecular docking studies with MGL tools. Results: The in vitro results suggested HDS inhibited the levels of cyclooxygenase-2 (COX-2), tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), prostaglandin E2 (PGE2), nitric oxide (NO) and IL-1β mediated levels of iNOS. Hidrosmin also suppressed the levels of ADAMTS-5 and IL-1β-induced MMP-13, whereas the levels of aggrecan and collagen II were up-regulated. Mechanistic study suggested HDS suppressed the nuclear factor kappa B (NF-κB) via targeting the nuclear factor (erythroid-derived 2)-like 2 (Nrf2) in chondrocytes. The outcomes of molecular docking studies confirmed that Nrf2 had a potential binding affinity with Hidrosmin as seen by lower binding energies. Conclusion: The findings of the study suggested HDS could be a potential molecule for halting the progression and development of osteoarthritis. conclusion: The findings of the study suggested HDS could be a potential molecule for halting the progression and development of osteoarthritis.