Reactive astrocytes, which exhibit a correlation with the degeneration of dopaminergic neurons, are present in a considerable number during the progression of Parkinson's disease (PD). However, the underlying factors shaping astrocyte reactivity and neuroinflammation in PD remain inadequately elucidated. Here, we demonstrate that fibroblast growth factor 7 (FGF7)/FGF receptor 2 (FGFR2) autocrine signaling intensifies astrocyte reactivity and inflammation. Genetic deletion of Arrb2, β-Arrestin2 encoding gene, led to escalated astrocyte reactivity in MPTP-treated mice, which was further substantiated in astrocyte-specific Arrb2 knockdown mice. RNA sequencing profiling of Arrb2 knockout astrocytes identified Fgf7 as a critical effector of astrocyte reactivity. Subsequently, conditional knockdown of Fgf7 and its receptor Fgfr2 in astrocytes elicited advantageous effects for MPTP-treated mice by restraining the inflammatory phenotypic transition of reactive astrocytes. Furthermore, deletion of astrocytic Fgf7 mitigated MPTP-induced pathology in Arrb2 knockout mice. Mechanistically, STAT1 was distinguished as the transcription factor suppressing Fgf7 expression, while β-Arrestin2 counteracted the proteasomal degradation of STAT1 by binding to RNF220, an E3 ubiquitin ligase for STAT1. More importantly, selectively engaging dopamine D2 receptor (Drd2)/β-Arrestin2-biased signaling using the agonist UNC9995 exhibited therapeutic potential in MPTP-treated mice via moderation of astrocytic FGF7 production, thereby restoring balance in astrocyte reactivity. Collectively, our study bridges a crucial knowledge gap by elucidating the novel functions of FGF family members within the central nervous system, particularly within the context of PD. The autocrine signaling of FGF7/FGFR2 represents a novel mechanism and a potential druggable target for modulating astrocyte-derived inflammation.

Ovulatory dysfunction (OD) is one of the main causes of infertility in women of childbearing age, which not only affects their reproductive ability, but also physical and mental health. Traditional treatment strategies have limited efficacies, and the emergence of biomedicines provides a promising alternative solution via the strategies of combining engineered design with modern advanced technology. This review explores the pathophysiological characteristics and related induction mechanisms of OD, and evaluates the current cutting-edge advances in its treatments. It emphasizes the potentials of biomedicines strategies such as hydrogels, nanoparticles and extracellular vesicles in improving therapeutic precision and efficacy. By mimicking natural physiological processes, and achieving controlled drug release, these advanced drug carriers are expected to address the challenges in ovarian microenvironment reprogramming, tissue repair, and metabolic and immune regulation. Despite the promising progress, there are still challenges in terms of biomedical complexity, differences between animal models and human physiology, and the demand for intelligent drug carriers in the therapy of OD. Future researches are mainly dedicated to developing precise personalized biomedicines in OD therapy through interdisciplinary collaboration, promoting the development of reproductive regenerative medicine.

Purpose/Significance To explore and implement the automated interpretation of pediatric medical exam answers,so as to enhance the efficiency and quality of answer explanation compilation.Method/Process The paper proposes a method that combines latent semantic indexing(LSI),MC-BERT,and the CoSENT model.Initially,multiple candidate answer explanations are extracted from ref-erence documents using the LSI method and the MC-BERT model.Subsequently,the CoSENT model is employed to calculate the simi-larity between the candidate explanations and the question stems as well as the answer options.The candidate explanation with the highest similarity is then selected as the final answer explanation.Result/Conclusion The experimental results show that the method presented in this paper achieves a precision rate of 72.6％.Compared to single methods or models,it significantly improves the recall and precision of answer parsing,effectively enhances the efficiency of compiling question answer explanations,reduces the burden on educators,and pro-vides significant data support for educational research.

OBJECTIVE: This study investigated the association between household chemical use and respiratory disease (RD) in older Chinese adults. METHODS: The data were from the 2018 China Longitudinal Health and Longevity Survey (CLHLS) database, which included 12,866 participants aged ≥ 65 years. The prevalence of RD was based on self-reported medical history, and patients were divided into diseased and non-diseased groups. The frequency of household chemical usage was divided into four categories, and a total score for eight household chemical usage categories was constructed. Binary logistic regression was used to determine the relationship between the frequency of household chemical use and RD, and a restricted cubic spline was used to determine the dose-response association. RESULT: After adjusting for all covariates, regular use of repellents [odds ratios ( OR) = 1.28, 95% CI 1.06-1.55] and oil removers ( OR = 1.28, 95% CI 1.03-1.58) were associated with RD. There was a dose-response association between the total score of household chemicals usage and RD risk ( P non-linearity > 0.05, P for trend < 0.01). Using patients with the total score below 9 as a reference, the OR for patients with the total score ranging from 25 to 32 is 2.33 (95% CI 1.25-4.09). CONCLUSION Regular use of repellents and oil removers increased the risk of RD, and the dose-dependent relationship was also observed.
Humans ; China/epidemiology* ; Aged ; Male ; Female ; Respiratory Tract Diseases/chemically induced* ; Aged, 80 and over ; Household Products/adverse effects* ; Prevalence

BACKGROUND: Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery. METHODS: In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC). RESULTS: A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model. CONCLUSIONS A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.
Humans ; Female ; Breast Neoplasms/genetics* ; East Asian People ; Neoplasm Recurrence, Local/genetics* ; Breast ; Algorithms ; Chronic Disease ; Prognosis ; Tumor Microenvironment

Objective:To investigate the pseudo-CT generation from cone beam CT (CBCT) by a deep learning method for the clinical need of adaptive radiotherapy.Methods:CBCT data from 74 prostate cancer patients collected by Varian On-Board Imager and their simulated positioning CT images were used for this study. The deformable registration was implemented by MIM software. And the data were randomly divided into the training set ( n=59) and test set ( n=15). U-net, Pix2PixGAN and CycleGAN were employed to learn the mapping from CBCT to simulated positioning CT. The evaluation indexes included mean absolute error (MAE), structural similarity index (SSIM) and peak signal to noise ratio (PSNR), with the deformed CT chosen as the reference. In addition, the quality of image was analyzed separately, including soft tissue resolution, image noise and artifacts, etc. Results:The MAE of images generated by U-net, Pix2PixGAN and CycleGAN were (29.4±16.1) HU, (37.1±14.4) HU and (34.3±17.3) HU, respectively. In terms of image quality, the images generated by U-net and Pix2PixGAN had excessive blur, resulting in image distortion; while the images generated by CycleGAN retained the CBCT image structure and improved the image quality.Conclusion:CycleGAN is able to effectively improve the quality of CBCT images, and has potential to be used in adaptive radiotherapy.

【Objective】 To evaluate and analyze the impact of COVID-19 epidemic on inventory of red blood cells (RBCs)in local and municipal blood stations in China, and to provide reference for the management of public health emergencies. 【Methods】 Relevant data from 2018 to 2021 were collected, and the differences in the volume of qualified RBCs, the usage efficiency of inventory RBCs, the average daily distribution of RBCs,the blood distribution rate of RBCs prepared by 400 mL whole blood, the difference in the average storage days of RBCs at the time of distribution, the average daily inventory of RBCs and the time of the average daily inventory of RBCs to maintain the distribution in 24 local and municipal blood stations in China during the COVID-19 epidemic and non-epidemic periods were retrospectively analyzed. 【Results】 Compared with non-epidemic periods, the volume of qualified RBCs [(117 525.979 ±52 203.175)U] and the average daily distribution of RBCs [( 156. 468 ± 70. 186) U ] increased significantly, but the usage efficiency of inventory RBCs decreased(97.24%±0.51%) significantly (P<0.05).There was no significant difference in the blood distribution rate of RBCs prepared by 400 mL whole blood(73.88%±20.30%), the average storage days of RBCs distribution(13.040 ±3.486), the average daily stock quantity of RBCs[(2 280.542 ±1 446.538) U ] and the time of the average daily inventory of RBCs to maintain the distribution[(15.062 ±7.453) d] (P>0.5). 【Conclusion】 During the COVID-19 epidemic, the inventory management of RBCs operated well, the overall inventory remained relatively stable, the stock composition and storage period showed no significant change.

Objective:To analyze the clinical features of patients with severe dengue (SD) in Guangdong Province, and to improve the understanding of the diagnosis and treatment of SD in China.Methods:The clinical data, laboratory examination and etiological test results of 257 SD cases from 29 dengue fever designated hospitals in Guangdong Province from January 1, 2013 to December 31, 2019 were respectively collected. The relevant indicators of the criteria for severe organ involvement were quantified. Logistic regression analysis was performed to analyze the risk factors for the development of multiple organ failure in SD patients.Results:Among the 257 SD patients, age was (64.1±20.1) years old, with 65.4%(168/257) of them ≥60 years old, 142 were male and 115 were female. One hundred and fifty-two (59.1%) patients had underlying conditions, including 115(44.7%) patients with hypertension. The clinical manifestations were mainly fever (98.4%(253/257)), fatigue (70.0%(180/257)), cough or expectoration (44.4%(114/257)), lethargy or irritability (39.3%(101/257)), vomiting (30.4%(78/257)), abdominal pain or tenderness (20.6%(53/257)), hepatomegaly (2.3%(6/257)), bleeding tendency (59.5%(153/257)), and pleural effusion or ascites (43.6%(112/257)). Platelet count levels were decreased in 90.9%(231/254) of the cases, and 97.1%(234/241) of patients had normal or decreased hematocrit. The most common of severe manifestations were severe organ involvement (61.1%(157/257)), followed by severe bleeding (37.0%(95/257)) and severe plasma leakage (30.0%(77/257)). Severe organ involvements were more common in the kidney (27.6%(71/257)) and heart (26.8%(69/257)). Multivariate logistic regression analysis showed that age (odds ratio ( OR)=1.051, 95% confidence interval ( CI) 1.004 to 1.100, P=0.035), hypertension ( OR=5.224, 95% CI 1.272 to 21.462, P=0.022), elevated aspartate aminotransferase (AST) level ( OR=1.002, 95% CI 1.001 to 1.003, P=0.001), blood urea nitrogen (BUN) ( OR=1.050, 95% CI 1.005 to 1.098, P=0.030), and international normalized ratio (INR) ( OR=4.604, 95% CI 1.601 to 13.238, P=0.005) were risk factors for the development of multiple organ failure in SD patients. The detection results of serum samples form 113 SD patients in acute phase showed that dengue virus (DENV)-1 accounted for 89.4%(101/113), DENV-2 accounted for 9.7%(11/113), and DENV-3 accounted for 0.9% (1/113). Conclusions:Elderly and those with co-existing conditions such as hypertension in SD patients in Guangdong Province are more common. Severe organ involvement such as kidney and heart is the main cause of SD. DENV-1 infection is predominant. Significant elevated levels of AST, BUN and INR may be related to a poor prognosis.

Objective:To investigate the application of sentinel lymph node biopsy (SLNB) in early-staged cervical cancer by laparoscopy.Methods:It was a prospective, single-arm, single-center clinical study. Seventy-eight cases of cervical cancer patients were collected from July 2015 to December 2018 at the Fourth Hospital of Hebei Medical University. All the patients were injected with tracer into the disease-free block of cervical tissue after anesthesia by the same surgeon who learned sentinel lymph node (SLN) mapping technique in Memorial Sloan-Kettering Cancer Center, and underwent SLN mapping followed by complete pelvic lymphadenectomy. Moreover, all the dissected lymph nodes were stained with hematoxylin eosin staining (HE) pathological examination. Besides, the negative SLN on hematoxylin-eosin staining were detected by immunohistochemistry cytokeratin staining micro-metastasis. To analyze the distribution, detection rate, false negative rate the sensitivity and negative predictive value of the SLN in early-staged cervical cancer by laparoscopy, and explore the value of SLN mapping in predicting the lymph nodes metastasis in early-staged cervical cancer.Results:The overall detection rate of SLN in cervical cancer was 99% (77/78), bilateral detection rate was 87% (68/78). The average of 12.4 lymph node (LN) and 3.6 SLN were dissected for each patients each side. SLN of cervical cancer were mainly distributed in the obturator space (61.5%, 343/558), followed by external iliac (23.5%, 131/558), common iliac (7.3%, 41/558), para-uterine (3.8%, 21/558), internal iliac (2.2%, 12/558), para abdominal aorta (1.1%, 6/558), and anterior sacral lymphatic drainage area (0.7%, 4/558). Fourteen cases of LN metastasis were found among all 78 cases. There were a total of 38 positive LN, including 26 SLN metastasis and 12 none sentinel LN metastasis. Through immunohistochemical staining and pathological ultra-staging, 1 SLN was found to be isolated tumor cells (ITC), and 5 SLNs were found to be micro-metastases (MIC), accounting for 23% (6/26) of positive SLN. SLN mapping with pathological ultra-staging improved the prediction of LN metastasis in cervical cancer (2/14). Metastatic SLN mainly distributed in the obturator space (65%, 17/26), peri-uterine region (12%, 3/26), common iliac region (15%, 4/26), and external iliac region (8%, 2/26). The consistency of the diagnosis of lymph node metastasis by SLN biopsy and postoperative retroperitoneal lymph node metastasis showed that the Kappa value was 1.000 ( P<0.001), indicated that the metastasis status of SLN and retroperitoneal lymph node were completely consistent. The sensitivity, specificity, accuracy, false-negative rate, and negative predictive value of SLN biopsy in the diagnosis of lymph node metastasis were 100%, 100%, 100%, 0, and 100%, respectively. Conclusions:SLN in early-staged cervical cancer patients were mainly distributed in the obturator and external iliac space, pathalogical ultra-staging of SLN could improve the prediction of LN metastasis. Intraoperative SLN mapping is safe, feasible and could predict the state of retroperitoneal LN metastasis in early-staged cervical cancer. SLNB may replace systemic pelvic lymphadenectomy.