Parkinson's disease （PD） is a common neurodegenerative disorder characterized by motor impairments， with its pathological mechanisms involving multiple processes such as the degeneration of dopaminergic neurons and the abnormal aggregation of α-synuclein. Current Western medical treatments face challenges including diminished long-term efficacy and motor complications. In recent years， Traditional Chinese Medicine （TCM） has demonstrated advantages in the prevention and treatment of PD through its systematic regulatory capabilities， featuring multi-component， multi-target， and multi-pathway approaches.This article systematically reviews the roles of seven key signaling pathways-NF-κB， AMPK/mTOR， PI3K/Akt， MAPKs， Nrf2/ARE， Wnt/β-catenin， and BDNF/TrkB-in the pathological process of PD and the regulatory mechanisms of TCM. Research indicates that active ingredients of Chinese herbs and compound formulations can synergistically modulate these pathways， exerting comprehensive effects in inhibiting neuroinflammation， alleviating oxidative stress， promoting autophagy to clear abnormal proteins， and enhancing neurotrophic support. These signaling pathways form a complex regulatory network through crosstalk among key nodal molecules， constituting an intricate regulatory system in PD pathology. The multi-target intervention characteristics of TCM align well with this network-based regulatory requirement， achieving integrated anti-inflammatory， antioxidant， autophagy-regulating， and neurorestorative effects through synergistic multi-pathway modulation. This article systematically outlines the mechanisms of TCM in the coordinated regulation of multiple pathways， providing a theoretical basis for elucidating the pathological process of PD and the intervention mechanisms of TCM， while also offering new perspectives and directions for modern research on TCM in the prevention and treatment of PD.

OBJECTIVE: To observe the effects of antagonistic needling therapy on lower limb spasticity and the muscle morphology of the tibialis anterior and gastrocnemius in patients with stroke. METHODS: A total of 100 patients with post-stroke lower limb spasticity were randomly divided into an antagonistic needling group (50 cases, 1 case dropped out) and a routine acupuncture group (50 cases, 1 case dropped out). Both groups received basic treatment and rehabilitation training. The routine acupuncture group was treated with scalp acupuncture at anterior oblique line of vertex-temporal and vertex lateral line 1, combined with body acupuncture at Jianyu (LI15), Hegu (LI4), Zusanli (ST36), Taichong (LR3), etc. on the affected side, with Quchi (LI11) and Hegu (LI4), Zusanli (ST36) and Fenglong (ST40), Yanglingquan (GB34) and Taichong (LR3) connected to an electroacupuncture device, using disperse wave at 2 Hz of frequency. The antagonistic needling group used the same scalp and upper limb acupoints as the routine acupuncture group, with additional antagonistic needling on the lower limb at Yanglingquan (GB34), Qiuxu (GB40), Jiexi (ST41), and Xuanzhong (GB39) on the affected side, with Quchi (LI11) and Hegu (LI4), Yanglingquan (GB34) and Qiuxu (GB40), Jiexi (ST41), and Xuanzhong (GB39) connected to an electroacupuncture device, using disperse wave at 2 Hz of frequency. Both groups received treatment once daily for 6 consecutive days per course, with a total of 4 courses. The modified Ashworth scale (MAS), Holden functional ambulation classification (FAC), lower limb Fugl-Meyer assessment (FMA), composite spasticity scale (CSS), and musculoskeletal ultrasound parameters (thickness and fiber length of the tibialis anterior and gastrocnemius, and pennation angle of the gastrocnemius on both sides) were evaluated before and after treatment. Clinical efficacy was compared between the two groups. RESULTS: Compared before treatment, the MAS grades and CSS scores were decreased in both groups after treatment (P<0.01), with greater reductions in the antagonistic needling group (P<0.05, P<0.01). FAC grades and FMA scores were increased in both groups after treatment (P<0.01, P<0.05), with greater improvements in the antagonistic needling group (P<0.05). The muscle thickness, fiber length of the tibialis anterior, the muscle thickness, fiber length and pennation angle of the gastrocnemius on the affected side were improved in both groups after treatment (P<0.01), with greater improvements in the antagonistic needling group (P<0.01, P<0.05). On the unaffected side, these parameters were also increased after treatment in both groups (P<0.01, P<0.05), but the antagonistic needling group showed smaller increases than the routine acupuncture group (P<0.01, P<0.05). The total effective rate in the antagonistic needling group was 91.8% (45/49), higher than 81.6% (40/49) in the routine acupuncture group (P<0.05). CONCLUSION Antagonistic needling could effectively reduce spasticity, improve motor function, and enhance muscle structure in patients with post-stroke lower limb spasticity.
Humans ; Male ; Female ; Acupuncture Therapy ; Middle Aged ; Muscle Spasticity/pathology* ; Aged ; Stroke/physiopathology* ; Lower Extremity/physiopathology* ; Acupuncture Points ; Adult ; Muscle, Skeletal/pathology* ; Treatment Outcome

Neuraxial opioids, widely used in obstetric and perioperative pain management, often lead to unwanted itch, reducing patient satisfaction. While the μ-opioid receptor has been implicated in opioid-induced itch, the genetic basis for variable itch incidence remains unknown. This study examined 3616 patients receiving epidural opioids, revealing an itch occurrence of 26.55%, with variations among opioid types and gender. Analysis of the OPRM1 gene identified six single-nucleotide polymorphisms, notably rs1799971 (A118G), that correlated with opioid-induced itch. Mouse models with an equivalent A112G mutation showed reduced neuraxial opioid-induced itch and light touch-evoked itch, mirroring human findings. The 118G allele demonstrated an anti-itch effect without impacting analgesia, addiction, or tolerance, offering insights for risk stratification and potential anti-itch pretreatment strategies.
Receptors, Opioid, mu/genetics* ; Pruritus/chemically induced* ; Humans ; Analgesics, Opioid/administration & dosage* ; Female ; Male ; Animals ; Polymorphism, Single Nucleotide/genetics* ; Adult ; Mice ; Middle Aged

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

Objective:To construct and evaluate a radiomics model for predicting perineural invasion in patients with intrahepatic cholangiocarcinoma (ICC).Methods:Clinical data of 144 patients with ICC undergoing surgery in the People’s Hospital of Zhengzhou University ( n=113) and the Affiliated Cancer Hospital of Zhengzhou University ( n=31) from January 2018 to June 2023 were retrospectively analyzed, including 80 males and 64 females, aged (58.8±10.1) years. The patients were randomly divided into a training set ( n=100) and a test set ( n=44) at a ratio of 7: 3. The former set was used to build the model for predicting perineural invasion, and the latter was used to evaluate the model. Enhanced CT images and clinical data of the patients were collected, and features related to perineural invasion were screened. A light gradient boosting machine was used to construct an imaging genomics model. The model was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Results:Univariate and multivariate logistic regression analysis showed that none of the clinical features were associated with neural invasion in ICC patients (all P>0.05). Six, 25, 32, and 37 radiomics features were obtained by screening the intratumoral, 2 mm peritumoral, 5 mm peritumoral, and 8 mm peritumoral regions, respectively. The area under the ROC curve for predicting perineural invasion in ICC patients was 0.849 (95% CI: 0.774-0.923) in the training set and 0.745 (95% CI: 0.597-0.894) in the test set for the intratumoral model, 0.966 (95% CI: 0.938-0.995) and 0.750 (95% CI: 0.604-0.896) for the 5mm peritumoral model, 0.936 (95% CI: 0.892-0.980) and 0.792 (95% CI: 0.644-0.939) for the 2mm peritumoral model, and 0.961 (95% CI: 0.929-0.992) and 0.689 (95% CI: 0.526-0.853) for the 8mm peritumoral model. The area under the ROC curve, accuracy, sensitivity, and specificity of the combined intratumoral and 5mm peritumoral model for predicting perineural invasion were 0.927 (95% CI: 0.878-0.976), 88.0%, 84.5%, and 89.8% in the training set, and 0.849 (95% CI: 0.737-0.960), 77.3%, 85.2%, and 72.0% in the test set, respectively. The calibration curve showed a deviation between the calibration curve of the combined intratumoral and 5mm peritumoral model and the ideal line, but it could achieve basic consistency. DCA showed that when the threshold was between 0.18 and 0.70, the combined intratumoral and 5mm peritumoral model could bring clinical net benefit to patients when predicting neural invasion. Conclusion:The intratumoral and 5mm peritumoral imaging genomics model based on enhanced CT features can effectively predict neural invasion and offer clinical benefits in patients with ICC.

People with AIDS are highly prone to opportunistic infections,among which pulmonary infections are the most common,with high incidence and fatality rates.How to effectively prevent or reduce the occurrence of HIV-related lung infections(HRLI)is of great practical significance.From the perspective of traditional Chinese medicine(TCM),HRLI and AIDS share common pathological mechanisms,including qi deficiency,spleen defi-ciency,phlegm-heat or phlegm-dampness obstructing the lungs.Based on the TCM theory of"preventing disease before it occurs",the three-level prevention approach includes:the first step"preventing disease before it occurs"emphasizes strengthening the body's defense mechanisms by tonifying the spleen and benefiting qi,and nourishing the lungs and kidneys to strengthen the exterior and protect the body;the second step"preventing the progression of disease once it occurs"emphasizes the removal of pathogenic factors while strengthening the body's defenses.Based on the principles of syndrome differentiation and treatment in TCM,focuses are kept on the spleen tonifying and phlegm resolving,pathogenic factors dispelling and dampness eliminating,while protecting the spleen and nourishing other organs.The third step"preventing relapse after recovery"emphasizes replenishing deficiencies and enhancing immunity.Adopting the three-level prevention approach and early intervention can reduce the inci-dence of HRLI,which is a new idea for the prevention and treatment of HRLI with TCM.

Objective:To identify individuals with accelerated aging under the frailty index (FI) as a proxy indicator of biological age, and to investigate the associations of age at menarche, age at menopause, and reproductive lifespan with frailty status and multi-timepoint FI trajectories among Chinese adult women.Methods:The current study included 302 471 women from the China Kadoorie Biobank 2004-2008 baseline survey data. Their age at menarche and menopause were self-reported, and the duration of reproductive lifespan was calculated by subtracting the two ages. The baseline FI was constructed using 28 baseline variables, including diseases, symptoms, and anthropometric measurements. Frailty status was categorized into three groups: non-frail (FI≤0.10), pre-frail (0.10

The construction of a medical safety system based on the medical core quality and safty systems is the foundation of the hospital. Multi-campus operation coordinated development is key to the high-quality development of public hospitals and the balanced distribution of high-quality medical resources. Building a medical safety system that comfoms to the specialized layout and operation of branch districts is very important the construction of multi-campus hospitals. In January 2023, Xidan Campus of Peking Union Medical College Hospital established a medical safety system that was compatible with its development, based on the construction of the medical core quality and safty system. The system covered four dimensions: early identification, early assessment, early intervention, and fast response. It included high-risk surgical evaluation and filing, early warning of nursing rooms, periodic medical safety rounds, and rapid response teams and cross hospital transportation of critical care rapid response teams. As of June 2024, the hospital had recorded 570 high-risk surgeries with no unplanned secondary surgeries or unplanned readmissions; Reported nursing warnings 68 times, initiated 93 emergency treatments and cross hospital transfers. All emergency patients received early warning assessments and completed graded and classified transfers and management, effectively ensuring patient safety. This practice could provide references for other multi-campus hospitals to promote the construction and development of medical safety systems.

Organoids are three-dimensional (3D) cellular structures formed through the differentiation and self-organization of pluripotent stem cells or tissue-derived cells, showing considerable potential in the research on disease mechanism, personalized medicine, and developmental biology. However, the development of organoids is limited by the complex composition, batch-to-batch variations, and immunogenicity of basement-membrane matrix in the current culture system, which hinders the clinical translation and in vivo applications of organoids. Hydrogels are highly hydrated 3D polymer network materials, with modifiable mechanical and biochemical properties by engineering, representing an ideal alternative to basement-membrane matrix. This article reviews the research progress in engineered hydrogels with defined composition currently used in organoid culture. We introduce the structural characteristics and engineering design considerations of hydrogels, emphasize the latest research progress and specific application cases, and discuss the future development of these engineered hydrogels, provide valuable insights for the further advancement and optimization of engineered hydrogels for organoid.
Hydrogels/chemistry* ; Organoids/cytology* ; Tissue Engineering/methods* ; Humans ; Animals ; Pluripotent Stem Cells/cytology* ; Cell Culture Techniques, Three Dimensional/methods* ; Tissue Scaffolds

Objective:To screen differentially expressed genes (DEGs) associated with liver cancer by bioinformatics analysis method, and to investigate the mechanism of the minichromosome maintenance protein 2 ( MCM2) and replication factor C subunit 4 ( RFC4) genes in liver cancer in vitro. Methods:Gene expression profiling data of 80 and 36 hepatocellular carcinoma tissues and 307 and 13 cirrhotic tissues were obtained from the GSE25097 and GSE98620 datasets of the gene expression analysis (GEO) database, respectively. Gene expression profiling data of 374 liver cancer tissues and 50 normal liver tissues were downloaded from the cancer genome atlas (TCGA) database. Limma and DESeqs R software were used to process the gene expression profiling data, construct protein-protein interaction networks, and analysis the relevance of these genes to survival. Weighted gene co-expression network analysis was performed to screen out the core genes. Liver cancer SMMC7721 cells were transfected with MCM2 blank plasmid (MCM2 control group), MCM2 overexpression plasmid [MCM2 WT1 group, MCM2 WT2 (2-fold WT1) group], RFC4 blank plasmid (RFC4 control group), and RFC4 overexpression plasmid [RFC4 WT1 group, RFC4 WT2 (2-fold WT1) group], respectively. The expression of MCM2 and RFC4 in liver cancer cell lines and their transfection levels were detected by real-time fluorescence quantitative reverse transcription PCR and Western blotting. The effects of MCM2 and RFC4 on the proliferation of hepatocellular carcinoma cells were detected by MTT assay and cell cloning assay, respectively. The effects of MCM2 and RFC4 on the migration of liver cancer cells were determined by the scratch assay. The effects of MCM2 and RFC4 on liver cancer cell invasion were detected by Transwell assay.Results:By bioinformatic analysis, 9 HCC DEGs were selected, including ubiquitin conjugating enzyme E2 T ( UBE2T), aurora kinase A ( AURKA), targeting protein for Xklp2 ( TPX2), MCM2, RFC4, ribonucleoside-diphosphate reductase subunit M2 ( RRM2), serine peptidase inhibitory factor Kazal type 1 ( SPINK1), collagen type XV alpha 1 chain ( COL15A1) and C-C motif chemokine 25 ( CCL25). Among the six genes associated with clinical stages, the MCM2 and RFC4 genes were found to be strongly associated with prognosis in liver cancer. The relative protein expression of MCM2 and RFC4 in HepG2 cells (1.83±0.07, 1.44±0.09) and SMMC7721 cells (1.74±0.05, 1.43±0.08) was higher than that in MIHA cells (1.00±0.02, 1.00±0.03), and all the differences were statistically significant (all P<0.05). The relative gene expression of MCM2 and RFC4 in HepG2 cells (14.30±0.12, 5.10±0.18) and SMMC7721 cells (10.60±0.11, 7.60±0.07) was higher than that in MIHA cells (1.00±0.05, 1.00±0.03), and all the differences were statistically significant (all P<0.05). Compared with the MCM2 control group, the absorbance values [(0.28±0.01 and 0.21±0.01) vs 0.18±0.03], the number of clonal cells [(717±12 and 782±29) cells vs (389±17) cells], the percentage migration [(0.43±0.02 and 0.68±0.01) vs 0.15±0.06], and the number of cellular invasions [(933±21 and 821±11) cells vs (409±16) cells] were higher in the MCM2 WT1 and MCM2 WT2 groups, and the differences were all statistically significant (all P<0.05). Compared with the RFC4 control group, the absorbance values [(0.30±0.02 and 0.21±0.01) vs 0.17±0.02], the number of cloned cells [(571±11 and 728±9) cells vs (373±23) cells], the percentage migration [(0.75±0.11 and 0.67±0.04) vs 0.34±0.07], and the number of cell invasion [(835±26 and 818±18) cells vs (629±12) cells] were higher in the RFC4 WT1 and the RFC4 WT2 groups, and the differences were statistically significant (all P<0.05). Conclusions:MCM2 and R FC4 genes play a role in promoting tumorigenesis and growth in hepatocellular carcinoma.