Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

BACKGROUND:Physiotherapy is very important for the recovery after anterior cruciate ligament reconstruction.In recent years,many doctors are optimizing the physical rehabilitation program after anterior cruciate ligament reconstruction.However,there is still a lack of efficient rehabilitation training after anterior cruciate ligament reconstruction. OBJECTIVE:To investigate the effect of vibration therapy combined with suspension training on movement and knee joint function after anterior cruciate ligament reconstruction. METHODS:A total of 80 patients undergoing first unilateral anterior cruciate ligament reconstruction at the Affiliated Sport Hospital,Shanghai University of Sport were randomly divided into vibration therapy group(n=40)and vibration therapy+suspension training group(n=40).In the vibration therapy group,vibration therapy(10 minutes each,once a day,6 times per week)was performed at the 13th week after anterior cruciate ligament reconstruction.Patients in the vibration therapy+suspension training group were treated with vibration therapy(10 minutes each,once a day,6 times per week)and suspension training(twice a week)at the 13th week after anterior cruciate ligament reconstruction.Training in each group was performed for 8 weeks.Knee joint function was evaluated by knee joint Lysholm score before and 8 weeks after training.The symmetry index was evaluated by the isokinetic muscle strength evaluation training system.The balance test system was used to evaluate the average trace error difference of the bilateral multi-axes. RESULTS AND CONCLUSION:Compared with those before training,the knee Lysholm score and the knee extension and flexion symmetry indexes increased(P<0.05),and the average trace error difference decreased after training(P<0.05).Compared with the vibration therapy group,the knee Lysholm score in the vibration therapy+suspension training group increased(P<0.05),the knee extension and knee flexion symmetry index increased(P<0.05),and the average trace error difference decreased(P<0.05).To conclude,compared with vibration therapy training alone,vibration therapy combined with suspension training can significantly improve knee joint function,increase muscle strength and symmetry,and improve balance stability in patients undergoing anterior cruciate ligament reconstruction.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

OBJECTIVE: To observe the effects of acupoint catgut embedding (ACE) on gut microbiota and fecal short-chain fatty acids (SCFAs) levels in patients with Parkinson's disease (PD) with constipation. METHODS: A total of 80 PD patients with constipation were randomly divided into an observation group and a control group, 40 cases in each group. Additionally, 40 healthy individuals were recruited as a healthy control group. The control group received conventional Western medical treatment for PD combined with polyethylene glycol (PEG), once daily for eight weeks. The observation group received additional ACE treatment at bilateral Tianshu (ST25), Zusanli (ST36), and Shangjuxu (ST37), once every two weeks for eight weeks. The healthy control group received no intervention. The spontaneous bowel movements (SBMs) per week and patient assessment of constipation quality of life (PAC-QOL) scores were assessed at baseline and after treatment in the two groups. Fecal samples were collected at the end of treatment for the observation and the control groups and at baseline for the healthy control group. Gut microbiota composition and diversity were analyzed using 16S rRNA method, and SCFA levels were measured using high-performance liquid chromatography (HPLC). RESULTS: Compared before treatment, the observation group showed a significant increase in SBMs (P<0.01), and PAC-QOL scores including physical discomfort, psychosocial discomfort, worry and concern, and total score were significantly reduced (P<0.01) after treatment; the control group also showed a reduction in PAC-QOL total score after treatment (P<0.01). After treatment, the observation group had significantly more SBMs (P<0.01), and lower PAC-QOL physical discomfort, psychosocial discomfort, worry and concern scores, and total score (P<0.01), and higher PAC-QOL satisfaction score (P<0.01) than the control group. Compared with the healthy control group, the control group showed decreased Chao1 and Ace indices (P<0.01). Compared with the healthy control group, the relative abundance of Prevotella and Roseburia was increased (P<0.05), while that of Enterobacter and Ruminococcus torques (six species in total) was decreased (P<0.05) in the control group. Compared with the control group, the observation group had increased relative abundance of Dialister, Parabacteroides, and Ruminococcus torques (P<0.05), and decreased relative abundance of Prevotella and Eubacterium ruminantium (P<0.05). Compared with the healthy control group, the control group had increased fecal SCFA levels (P<0.05); compared with the control group, the observation group had reduced fecal SCFA levels (P<0.05). Compared with the healthy control group, acetic acid, propionic acid, and butyric acid levels were elevated in the control group (P<0.05); compared with the control group, acetic acid, propionic acid, and butyric acid levels were decreased in the observation group (P<0.05). CONCLUSION ACE could increase spontaneous bowel movements and improve the quality of life in PD patients with constipation, which may be related to the regulation of gut microbiota composition and SCFA levels.
Humans ; Constipation/metabolism* ; Male ; Gastrointestinal Microbiome ; Acupuncture Points ; Female ; Middle Aged ; Parkinson Disease/complications* ; Aged ; Fatty Acids, Volatile/metabolism* ; Catgut ; Feces/microbiology* ; Acupuncture Therapy ; Quality of Life ; Adult

Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility. Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively. Conclusions The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.

Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility. Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively. Conclusions The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.