Adverse pregnancy outcome (APO) refers to any pregnancy outcome other than a normal live birth, mainly including preeclampsia, fetal growth restriction, recurrent pregnancy loss, etc., which seriously threaten the health of both the mother and the fetus. Most APOs originate from abnormal uterine endometrial microenvironment before pregnancy. Once a woman confirms pregnancy, intervening in the uterine endometrium at this stage is often too late. The uterine endometrium, as a key site for embryo implantation and development, its abnormal microenvironment can lead to APO. Therefore, in-depth exploration of the relationship between the pre-pregnancy uterine endometrial microenvironment and APO is helpful for clarifying the mechanism of APO occurrence and providing key ideas and methods for early prevention and treatment. This article reviews the latest research on the mechanism of action between uterine endometrial microenvironment and APO, systematically summarizing the research progress and main conclusions in this field from several aspects such as immune imbalance, inflammatory response, abnormal energy metabolism, and senescence of uterine endometrial stromal cells.

Objective:To investigate the impact of Wenyang Ligong Decoction on pregnancy outcomes after transcervical resection of adhesions (TCRA) in patients with intrauterine adhesions (IUA).Methods:A retrospective cohort study was conducted to collect clinical data from 151 patients with IUA who underwent TCRA in the Reproductive Medicine Department of the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine between January 2020 and January 2023. Patients were divided into a Traditional Chinese medicine (TCM) group (79 patients) and a control group (72 patients) based on whether they received Wenyang Ligong Decoction after TCRA. The TCM group received estrogen and progesterone sequential therapy post-surgery, combined with Wenyang Ligong Decoction for 2-3 menstrual cycles. The control only received sequential treatment with estrogen and progesterone.Pregnancy outcomes one year after surgery were compared between the two groups. After adjusting for confounding factors using multivariate Cox regression analysis, the effect of Wenyang Ligong Decoction on pregnancy outcomes after TCRA in patients with IUA was observed.Results:The live birth rate [54.43%　(43/79)], the ongoing pregnancy rate [56.96% (45/79)], and the clinical pregnancy rate [52.03% (49/79)] were higher in the TCM group than in the control [26.39% (19/72), P<0.001; 30.56% (22/72), P=0.001;37.50% (27/72), P=0.003], with statistically significant differences. There were no statistically significant differences in early abortion rate and late abortion rate between the TCM group and the control (all P>0.05). According to the stratified analysis by preparation methods, in the natural conception group, the live birth rate [60.78% (31/51)], the ongoing pregnancy rate [62.75% (32/51)], and the clinical pregnancy rate [68.63% (35/51)] in the TCM group were significantly higher than those in control group [21.43% (12/56), P<0.001; 26.79% (15/56), P<0.001; 33.93% (19/56), P<0.001]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the assisted reproductive technology group, there were no statistically significant differences in live birth rate, ongoing pregnancy rate, clinical pregnancy rate, early miscarriage rate, and late miscarriage rate between the two groups (all P>0.05). According to the stratified analysis by age, in the <35-year-old patients, the live birth rate [66.00% (33/50)], the ongoing pregnancy rate [70.00% (35/50)], and the clinical pregnancy rate [74.00% (37/50)] in the TCM group were significantly higher than those in control group [41.30% (19/46), P=0.015; 47.83% (22/46), P=0.027; 54.35% (25/46), P=0.044]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the ≥35-year-old patients, the live birth rate [34.48% (10/29)], the ongoing pregnancy rate [34.48% (10/29)], and the clinical pregnancy rate [41.38% (12/29)] in the TCM group were significantly higher than those in control group [0%, P=0.001; 0%, P=0.001; 7.69% (2/26), P=0.004]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05).Univariate Cox regression analysis showed that age, number of previous uterine cavity interventions, IUA score, degree of IUA, and endometrial thickness after TCRA were independent risk factors for live births, and age, IUA score, degree of IUA, intima thickness after TCRA, and treatment group were the influencing factors of persistent pregnancy (all P<0.05). After adjusting for confounding factors, multivariate Cox regression analysis showed that Wenyang Ligong Decoction significantly improved the live birth rate ( HR=3.19, 95% CI: 1.77-8.11, P=0.001) and the rate of continuous pregnancy ( HR=3.66, 95% CI: 1.80-7.48, P<0.001) in patients with IUA. Conclusion:Wenyang Ligong Decoction can significantly improve pregnancy outcomes after TCRA in patients with IUA.

Objective:To analyze the results of next generation sequencing (NGS) gene testing in liquid-based cytological specimens of lung adenocarcinoma cavity and evaluate the clinical efficacy of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment.Methods:Liquid based cytological specimens of 222 cases of lung adenocarcinoma with cavity effusion and 201 cases of metastatic lymph node biopsy were collected. Specimens were obtained from the Cytology Laboratory of the Cancer Hospital of the Chinese Academy of Medical Sciences. The collection period was from January 2018 to December 2022. The results of NGS gene detection were compared. The clinical efficacy of 91 patients treated with EGFR-TKI was evaluated, and the survival curve was analyzed by Kaplan-Meier and other statistical methods.Results:The mutation rates of cancer-related genes detected by NGS were 82.0% (182/222) vs 79.1% (159/201), ( P=0.455) in liquid-based cytological specimens and histological specimens of metastatic lymph node biopsy, respectively. However, the mutation rate of EGFR T790M was significantly higher in cavity effusion than in lymph node biopsy specimens [12.2%(27/222)＞3.5%(7/201), P=0.001]. The results of gene mutation were identical in 10 of the 13 cases with cavity effusion and metastatic lymph node biopsy, and the agreement rate of EGFR was 84.6%(11/13). In 3 inconsistent cases, EGFR mutations were detected in 2 cavity effusion cases that were not detected by lymph node biopsy. Results of genetic analysis of fluid-based cytological samples of 91 patients with cavity effusion were evaluated after drug treatment with EGFR-TKI. The mean progression-free survival (PFS) of the patients was 11.4 months (95% CI: 9.9-12.9). The mean PFS of patients harboring EGFR mutation was 12.3 months (95% CI: 10.8-13.9), and the mean PFS of EGFR wild type was 4.1 months (95% CI: 2.1-6.2). Conclusions:The results of NGS gene detection in liquid-based cytological specimens of lung adenocarcinoma patients with cavity effusion show that the PFS time is similar to that of histological specimens after clinical treatment with EGFR-TKI, which proves the reliability of NGS gene detection results in liquid cytological specimens. NGS gene testing appears higher sensitivity in cavity liquid-based samples than in metastatic lymph node samples.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Objective:To explore the characteristics and influencing factors of risk perception related to additional injury during motor rehabilitation in stroke patients with hemiplegia, and to provide a foundation for the development of assessment tools and prevention strategies.Methods:A purposive sampling strategy combined with maximum variation sampling was employed to select 15 stroke patients with hemiplegia who were hospitalized in the Department of Neurology and Department of Rehabilitation at Northern Jiangsu People's Hospital between January and April 2024. Face-to-face, semi-structured in-depth interviews were conducted. Data were analyzed and thematically extracted using Colaizzi seven-step method.Results:Each interview lasted between 25 and 47 minutes, totaling 547 minutes of interview time and approximately 92 000 words of transcription. A total of 3 major themes were identified: characteristics of risk perception regarding additional injury during motor rehabilitation, multidimensional influencing factors of risk perception, and perceived severity of additional injury.Conclusions:Stroke patients with hemiplegia exhibit diverse and dynamic risk perception characteristics regarding additional injury during motor rehabilitation, which are influenced by multiple interrelated factors. A generally low and inaccurate level of risk perception was observed. Medical staff should pay greater attention to improving the accuracy of patients' risk perception, enhancing risk assessment mechanisms, and developing targeted prevention strategies to help patients avoid additional injuries and maximize the benefits of motor rehabilitation.

Adverse pregnancy outcome (APO) refers to any pregnancy outcome other than a normal live birth, mainly including preeclampsia, fetal growth restriction, recurrent pregnancy loss, etc., which seriously threaten the health of both the mother and the fetus. Most APOs originate from abnormal uterine endometrial microenvironment before pregnancy. Once a woman confirms pregnancy, intervening in the uterine endometrium at this stage is often too late. The uterine endometrium, as a key site for embryo implantation and development, its abnormal microenvironment can lead to APO. Therefore, in-depth exploration of the relationship between the pre-pregnancy uterine endometrial microenvironment and APO is helpful for clarifying the mechanism of APO occurrence and providing key ideas and methods for early prevention and treatment. This article reviews the latest research on the mechanism of action between uterine endometrial microenvironment and APO, systematically summarizing the research progress and main conclusions in this field from several aspects such as immune imbalance, inflammatory response, abnormal energy metabolism, and senescence of uterine endometrial stromal cells.

Objective:To investigate the impact of Wenyang Ligong Decoction on pregnancy outcomes after transcervical resection of adhesions (TCRA) in patients with intrauterine adhesions (IUA).Methods:A retrospective cohort study was conducted to collect clinical data from 151 patients with IUA who underwent TCRA in the Reproductive Medicine Department of the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine between January 2020 and January 2023. Patients were divided into a Traditional Chinese medicine (TCM) group (79 patients) and a control group (72 patients) based on whether they received Wenyang Ligong Decoction after TCRA. The TCM group received estrogen and progesterone sequential therapy post-surgery, combined with Wenyang Ligong Decoction for 2-3 menstrual cycles. The control only received sequential treatment with estrogen and progesterone.Pregnancy outcomes one year after surgery were compared between the two groups. After adjusting for confounding factors using multivariate Cox regression analysis, the effect of Wenyang Ligong Decoction on pregnancy outcomes after TCRA in patients with IUA was observed.Results:The live birth rate [54.43%　(43/79)], the ongoing pregnancy rate [56.96% (45/79)], and the clinical pregnancy rate [52.03% (49/79)] were higher in the TCM group than in the control [26.39% (19/72), P<0.001; 30.56% (22/72), P=0.001;37.50% (27/72), P=0.003], with statistically significant differences. There were no statistically significant differences in early abortion rate and late abortion rate between the TCM group and the control (all P>0.05). According to the stratified analysis by preparation methods, in the natural conception group, the live birth rate [60.78% (31/51)], the ongoing pregnancy rate [62.75% (32/51)], and the clinical pregnancy rate [68.63% (35/51)] in the TCM group were significantly higher than those in control group [21.43% (12/56), P<0.001; 26.79% (15/56), P<0.001; 33.93% (19/56), P<0.001]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the assisted reproductive technology group, there were no statistically significant differences in live birth rate, ongoing pregnancy rate, clinical pregnancy rate, early miscarriage rate, and late miscarriage rate between the two groups (all P>0.05). According to the stratified analysis by age, in the <35-year-old patients, the live birth rate [66.00% (33/50)], the ongoing pregnancy rate [70.00% (35/50)], and the clinical pregnancy rate [74.00% (37/50)] in the TCM group were significantly higher than those in control group [41.30% (19/46), P=0.015; 47.83% (22/46), P=0.027; 54.35% (25/46), P=0.044]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the ≥35-year-old patients, the live birth rate [34.48% (10/29)], the ongoing pregnancy rate [34.48% (10/29)], and the clinical pregnancy rate [41.38% (12/29)] in the TCM group were significantly higher than those in control group [0%, P=0.001; 0%, P=0.001; 7.69% (2/26), P=0.004]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05).Univariate Cox regression analysis showed that age, number of previous uterine cavity interventions, IUA score, degree of IUA, and endometrial thickness after TCRA were independent risk factors for live births, and age, IUA score, degree of IUA, intima thickness after TCRA, and treatment group were the influencing factors of persistent pregnancy (all P<0.05). After adjusting for confounding factors, multivariate Cox regression analysis showed that Wenyang Ligong Decoction significantly improved the live birth rate ( HR=3.19, 95% CI: 1.77-8.11, P=0.001) and the rate of continuous pregnancy ( HR=3.66, 95% CI: 1.80-7.48, P<0.001) in patients with IUA. Conclusion:Wenyang Ligong Decoction can significantly improve pregnancy outcomes after TCRA in patients with IUA.

This study aims to explore the mechanism of Huanglian Jiedu Decoction(HJD) in treating acute liver injury(ALI) in the mouse model of sepsis induced by lipopolysaccharide(LPS). Fifty-four male C57BL/6 mice were randomized into six groups: blank group, model group, low-, medium-, and high-dose group HJD, and dexamethasone group. The mouse model of sepsis was established by intraperitoneal injection of LPS after 7 days of gavage with HJD, and dexamethasone(0.2 mL) was injected intraperitoneally 1.5 h after modeling. The murine sepsis score(MSS) was recorded 12 h after modeling. The levels of alanine aminotransferase(ALT) and aspartate aminotransferase(AST) in the liver tissue and tumor necrosis factor-α(TNF-α) and interleukin-6(IL-6) in the serum were measured by ELISA. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of the mouse liver. The content of light chain 3 of microtubule-associated protein 1(LC3) was detected by immunofluorescence, and that of sirtuin 1(SIRT1) was detected by immunohistochemistry. The mRNA levels of adenosine 5'-monophosphate-activated protein kinase(AMPK), LC3, and P62 were detected by RT-PCR. Western blot was employed to determine the protein levels of AMPK, p-AMPK, and SIRT1 in the liver tissue. The results showed that compared with model group, drug interventions decreased the MSS and liver injury indicators, lowered the levels of inflammatory cytokines, improved the liver tissue structure, upregulated the protein levels of of p-AMPK/AMPK and SIRT1 and the mRNA levels of AMPK and LC3, and downregulated the mRNA level of P62. To sum up, HJD can regulate the autophagy level and reduce inflammation to ameliorate acute liver injury in septic mice by activating the AMPK/SIRT1 autophagy pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Sirtuin 1/genetics* ; Male ; Mice ; Sepsis/metabolism* ; Mice, Inbred C57BL ; Autophagy/drug effects* ; AMP-Activated Protein Kinases/genetics* ; Liver/metabolism* ; Humans ; Signal Transduction/drug effects* ; Disease Models, Animal ; Tumor Necrosis Factor-alpha/genetics*

OBJECTIVE: To explore the therapeutic effect of polygonum cuspidatum glycoside on steroid-induced osteonecrosis of the femoral head(SONFH) in rats and its potential mechanism of protecting bone tissue by regulating the Janus kinase 2/signal transducer and activator of transcription 3 signaling pathway(JAK2/STAT3). METHODS: Fifty male SD rats were randomly divided into control group, model group, low-dose polygonum cuspidatum glycoside group (polygonum cuspidatum glycoside-L), high-dose polygonum cuspidatum glycoside group (polygonum cuspidatum glycoside-H), and polygonum cuspidatum glycoside-H+Colivelin (JAK2/STAT3 pathway activator) group. SONFH model was induced by lipopolysaccharide and dexamethasone. The treatment groups were given polygonum cuspidatum glycoside orally(polygonum cuspidatum glycoside-L 10 mg·kg^-1, polygonum cuspidatum glycoside-H 20 mg·kg^-1, and the polygonum cuspidatum glycoside-H+Colivelin group was injected with Colivelin (1 mg·kg^-1) intraperitoneally once a day, while the control and model groups were given an equal volume of saline for 6 weeks. The observed indicators included serum calcium(Ca), serum phosphorus (P), alkaline phosphatase, and transforming growth factor β1(TGF-β1) levels, micro-CT scanning, hematoxylin-eosin staining, and Western blot detection of JAK2/STAT3 signaling pathway and osteogenic differentiation marker genes, including Runt-related transcription factor 2 (Runx2), bone morphogenetic protein 2 (BMP2), and osteopontin (OPN) protein expression. RESULTS: Compared with the model group, the trabecular bone area percentage in the polygonum cuspidatum glycoside-L and polygonum cuspidatum glycoside-H groups was significantly increased, and the empty lacunar rate was significantly decreased (P<0.05). Micro-CT analysis showed that the bone volume fraction, trabecular number, and thickness increased, and the trabecular separation decreased in the polygonum cuspidatum glycoside-treated groups(P<0.05). Serum biochemical tests found that the serum Ca and P concentrations in the polygonum cuspidatum glycoside-L and polygonum cuspidatum glycoside-H groups were restored, the alkaline phosphatase levels decreased, and the transforming growth factor β1 levels increased (P<0.05). Western blot analysis showed that polygonum cuspidatum glycoside significantly inhibited the activation of the JAK2/STAT3 signaling pathway in the model group and promoted the expression of osteogenic differentiation marker genes such as Runx2, BMP2, and OPN (P<0.05). Compared with the polygonum cuspidatum glycoside-H group, the improvements in the polygonum cuspidatum glycoside-H+Colivelin group were somewhat weakened, indicating the importance of the JAK2/STAT3 signaling pathway in the action of polygonum cuspidatum glycoside. CONCLUSION polygonum cuspidatum glycoside promotes osteogenic differentiation, improves bone microstructure, and has significant therapeutic effects on rat SONFH by regulating the JAK2/STAT3 signaling pathway.
Animals ; Male ; Janus Kinase 2/physiology* ; Rats, Sprague-Dawley ; Rats ; Signal Transduction/drug effects* ; Glucosides/pharmacology* ; STAT3 Transcription Factor/genetics* ; Femur Head Necrosis/chemically induced* ; Stilbenes/pharmacology*

ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.