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Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal Of Sichuan University. Medical Science Edition[JOURNAL]
Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal Of Sichuan University. Medical Science Edition[JOURNAL]
Sun
200 papers
[Mechanism of Trifolin in Attenuating Hypertension-Induced Renal Cell Apoptosis via Modulation of the MAPK Signaling Pathway].
Wu M, Guo Z, Xie Y … +6 more , Liu H, Chen H, Lin X, Chen R, Shen A, Peng J
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416166 · Full text
OBJECTIVE: To investigate the potential therapeutic effects of trifolin on hypertension-induced renal injury, as well as the key targets and pathways involved. METHODS: The mRNA transcriptional profiles of peripheral blo...
OBJECTIVE: To investigate the potential therapeutic effects of trifolin on hypertension-induced renal injury, as well as the key targets and pathways involved. METHODS: The mRNA transcriptional profiles of peripheral blood clinical samples from hypertensive patients were analyzed using Gene Expression Omnibus (GEO), a high-throughput gene expression database. The network pharmacology method was employed to screen key targets of trifolin in treating hypertension-induced renal injury. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. NRK-52E cells, a rat renal proximal tubular cell line, were used to construct an angiotensin Ⅱ (Ang Ⅱ)-stimulated cell model. Flow cytometry was performed to assess cell apoptosis rates and Western blotting was performed to determine the expression levels of apoptosis-related proteins, including Bax, Bcl-2, cleaved caspase-3, and caspase-3, and the phosphorylation and total protein levels of the key MAPK pathway proteins, including ERK, p38 MAPK, and JNK. RESULTS: Analysis of the dataset GSE75360 revealed that, compared with healthy controls, 3331 genes were upregulated and 3197 genes were downregulated in peripheral blood mononuclear cells of hypertensive patients. According to network pharmacology analysis, 472 potential targets of trifolin were identified, including CASP3 and MAPK1. Protein-protein interaction network analysis showed that these targets were closely associated with apoptosis regulatory signaling pathways. GO and KEGG pathway enrichment analyses indicated that trifolin was significantly enriched in pathways associated with negative regulation of apoptosis, apoptotic signaling pathways, and the MAPK signaling pathway. The experiments confirmed that, compared with the Ang Ⅱ group, trifolin intervention inhibited apoptosis in Ang Ⅱ-stimulated NRK-52E cells, suppressed the expression of Bax and cleaved caspase-3, promoted Bcl-2 expression, and inhibited the phosphorylation of p38 MAPK, ERK, and JNK ( < 0.05). CONCLUSION: Trifolin may exert its protective effect against hypertension-induced renal injury by inhibiting Ang Ⅱ-induced NRK-52E cell apoptosis and regulating the MAPK signaling pathway, representing an important mechanism underlying its therapeutic action.
[Construction and Validation of a Risk Prediction Model for Postoperative Constipation in Patients With Osteoporotic Thoracolumbar Fracture Undergoing Percutaneous Kyphoplasty].
Liu X, Wu Y, Kang L … +3 more , Lin S, Cai Z, Lin W
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416165 · Full text
OBJECTIVE: To develop an instrument for predicting postoperative constipation risks in patients with osteoporotic thoracolumbar fracture (OTLF) who have undergone percutaneous kyphoplasty (PKP). METHODS: A total of 858 O...
OBJECTIVE: To develop an instrument for predicting postoperative constipation risks in patients with osteoporotic thoracolumbar fracture (OTLF) who have undergone percutaneous kyphoplasty (PKP). METHODS: A total of 858 OTLF patients who underwent PKP surgery between January 2020 and December 2024 were enrolled. The patients were randomly assigned to a training set ( = 600) and a validation set ( = 258) in a 7∶3 ratio. According to whether the patients had postoperative constipation, the training set was divided into a constipation group ( = 205) and a non-constipation group ( = 395), and the validation set was divided into a constipation group ( = 90) and a non-constipation group ( = 168). Logistic regression analysis was conducted to analyze the factors influencing postoperative constipation in OTLF patients after PKP, and a nomogram model was constructed accordingly. The receiver operating characteristic (ROC) curve and the calibration curve of the model were plotted, and the Hosmer-Lemeshow test for goodness of fit was performed. RESULTS: A total of 205 OTLF patients (34.17%) in the training set and 90 OTLF patients (34.88%) in the validation set experienced constipation after PKP. Univariate analysis revealed significant differences between the constipation and non-constipation groups in terms of operative time, postoperative water intake, time to first postoperative meal, postoperative bed rest time, the levels of , , , and , the Nutrition Risk Screening 2002 (NRS-2002) score, and the levels of sodium, potassium, and HbA1c ( < 0.05). Least absolute shrinkage and selection operator (LASSO) regression was performed and operative time, time to first postoperative meal, the levels of , , , and , the NRS-2002 score, and the levels of sodium, potassium, and HbA1c were identified as candidate predictors. Multivariate logistic analysis showed that the time to first postoperative meal, the levels of and , the NRS-2002 score, and the levels of sodium and HbA1c were influencing factors of postoperative constipation in OTLF patients ( < 0.05). The ROC curves showed that the area under the curve (AUC) of the training set was 0.842 (95% CI: 0.793-0.892), while that of the validation set was 0.860 (95% CI: 0.830-0.889). The calibration curves demonstrated good agreement between the prediction curve and the standard curve in both the training set and the validation set. CONCLUSION: The time to the first postoperative meal, the NRS2002 score, and the levels of , , sodium, and HbA1c are influencing factors of post-PKP constipation in OTLF patients. The nomogram model built based on these factors exhibited good predictive performance.
[Periodontitis Aggravates Chronic Obstructive Pulmonary Disease Progression by Promoting Pulmonary Macrophage M1 Polarizations].
Li J, Xiong K, Tang B … +3 more , Xia Z, Tang Z, Li Y
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416164 · Full text
OBJECTIVE: To investigate the critical role of macrophage M1 polarization in mediating the effect of periodontitis on the progression of chronic obstructive pulmonary disease (COPD). METHODS: Alveolar lavage fluid sample...
OBJECTIVE: To investigate the critical role of macrophage M1 polarization in mediating the effect of periodontitis on the progression of chronic obstructive pulmonary disease (COPD). METHODS: Alveolar lavage fluid samples were collected from COPD patients with comorbid periodontitis, and gene expression analysis was performed to validate the changes in the expression of M1 polarization-related genes. A mouse model of COPD, with experimentally induced periodontitis, were established. Hematoxylin and eosin (HE) staining of pathological sections was performed to observe the effect of periodontitis on COPD progression. Flow cytometry, immunofluorescence staining, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) were performed to analyze the effect of periodontitis on macrophage M1 polarization and the expression of relevant genes in the alveolar lavage fluid and lung tissues. RESULTS: In clinical samples of alveolar lavage fluid from COPD patients with periodontitis, the expression of macrophage M1 polarization-related genes, including , inducible nitric oxide synthase (), interleukin ()-, tumor necrosis factor ()-, , and , was upregulated compared with that of COPD patients without periodontitis. Analysis of a mouse disease model revealed that periodontitis affected the growth of COPD mice, with the final body mass of mice in the periodontitis and COPD comorbid group ([21.3 ± 0.52] g, day 34) lower than that of the COPD group ([23.93 ± 0.45] g, day 34). Pathological sections of the lung tissue showed that periodontitis exacerbated COPD progression, with more pronounced alveolar expansion and alveolar wall destruction observed in the periodontitis and COPD comorbid group. Flow cytometry revealed a higher proportion of M1-polarized macrophages in alveolar lavage fluid from COPD and periodontitis comorbid mice ([31.36 ± 2.51]%) compared with the COPD mice ([23.19 ± 1.07]%). Immunofluorescence assays indicated that periodontitis also promoted macrophage M1 polarization in the lung tissue of COPD mice. Gene expression analysis demonstrated that M1 polarization-related gene expression was significantly upregulated in both the alveolar lavage fluid and lung tissue of mice in the COPD and periodontitis co-morbid group compared to the COPD group. CONCLUSION: Periodontitis exacerbates COPD progression by promoting macrophage M1 polarization in the lungs. Enhancing oral hygiene management and targeting the inhibition of macrophage M1 polarization may represent new therapeutic strategies for the clinical prevention and control of COPD.
[Preclinical Development Process and Prospects of Real-time Fluorescence Quantitative Polymerase Chain Reaction Detection Kits].
Wang C, Li S, Zhang S
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416163 · Full text
In recent years, real-time fluorescence quantitative polymerase chain reaction (qPCR) technology has become an essential tool for molecular diagnosis, pathogen detection, and gene expression analysis, thanks to its high...
In recent years, real-time fluorescence quantitative polymerase chain reaction (qPCR) technology has become an essential tool for molecular diagnosis, pathogen detection, and gene expression analysis, thanks to its high sensitivity, speed, and real-time quantification capabilities. In 2022, the global market size of nucleic acid testing-related products and services, including instruments, reagents, consumables, and after-sales service support, reached 7.3 billion US dollars, with PCR-based technologies accounting for 66.7% of the market share and exhibiting a consistent growth trend. Although qPCR technology has been widely applied across multiple fields, the preclinical development of diagnostic kits-a process that includes primer design and reaction system optimization-still faces such issues as unclear procedures, non-standardized methods, and inconsistent evaluation criteria. Herein, we reviewed the guidelines, key resources, and standardized processes of qPCR assay reagent development, aiming to provide theoretical support for improving the efficiency and quality control of assay reagent development, and to discuss future directions for the optimizing and improving qPCR technology in the context of artificial intelligence.
[High-Throughput Determination of Endogenous Peptides in Urine Using Electromembrane Extraction Combined With Liquid Chromatography-Tandem Mass Spectrometry].
Tang Y, He J, Lin C … +3 more , Peng S, Zou H, Zhou C
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416162 · Full text
OBJECTIVE: To develop a precise method for analyzing urinary peptides based on electromembrane extraction (EME) combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS), and to evaluate its potential appli...
OBJECTIVE: To develop a precise method for analyzing urinary peptides based on electromembrane extraction (EME) combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS), and to evaluate its potential applicability in tumor biomarker screening. METHODS: A total of 15 disease-associated peptides were selected as the target analytes. A supported liquid membrane (SLM) composed of n-octanol containing 5% di (2-ethylhexyl) phosphate was employed, with the donor phase being a 1∶1 mixture of urine and 100 mmol/L formic acid and urine, and the acceptor phase being 20 mmol/L formic acid containing 50% dimethyl sulfoxide (DMSO). After EME at 40 V for 15 min, the acceptor phase solution was analyzed by LC-MS/MS. Subsequently, the method, EME combined with LC-MS/MS (EME-LC-MS/MS), was preliminarily validated utilizing urine samples from 12 healthy controls and 7 patients with urinary system tumors. RESULTS: All 15 peptides exhibited excellent linearity in the range of 0.1-100.0 ng/mL ( ≥ 0.995), with the limits of detection (LODs) being 0.01-0.50 ng/mL and the limits of quantification (LOQs) being 0.03-1.50 ng/mL. The spiked recoveries ranged from 21.0% to 71.2%, with relative standard deviations (RSDs) of 0.8%-20.0% ( = 3). Small-sample analysis of clinical specimens revealed that the concentration of bradykinin 1-5 in the urine were significantly higher in tumor patients (median: 0.65 ng/mL) than that in healthy controls (median: 0.37 ng/mL) ( < 0.05), suggesting its potential as a specific biomarker for urinary system tumors. CONCLUSION: The EME-LC-MS/MS method established in the study features simplicity, high efficiency, and high sensitivity, enabling precise determination of trace-level peptides in urine samples. Moreover, this approach provides a reliable methodological basis for disease biomarker screening and promotes the clinical application of electromembrane extraction.
[Pioneering Application of a Domestically Developed Single-Arm Single-Port Robotic System in Ultra-Remote Telesurgery: A Clinical Report of Two Gynecological Oncology Cases].
Wang Q, Wang Y, DE Q … +3 more , Cheng G, Yang F, Zheng Y
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416161 · Full text
OBJECTIVE: To evaluate the feasibility and safety of a domestically developed, single-arm single-port robotic system for performing complex gynecological surgeries under extreme conditions, such as ultra-remote locations...
OBJECTIVE: To evaluate the feasibility and safety of a domestically developed, single-arm single-port robotic system for performing complex gynecological surgeries under extreme conditions, such as ultra-remote locations and high-altitude environments. METHODS: In November and December 2024, a surgeon on the campus of West China Second Hospital, Sichuan University in Chengdu remotely manipulated a domestically developed single-arm, single-port robotic surgical system via a high-speed, low-latency communication network to perform two telesurgical procedures. The first procedure was a transumbilical single-port robot-assisted laparoscopic total hysterectomy, bilateral salpingectomy, and left ovarian cystectomy on a patient with multiple uterine fibroids at the Maternity and Child Health Hospital of Xizang Autonomous Region (distance between Chengdu and Lhasa > 2000 km and altitude difference >3000 m). The second procedure was a transumbilical single-port robot-assisted laparoscopic total hysterectomy, bilateral salpingo-oophorectomy, and sentinel lymph node biopsy on a patient with FIGO stage IA endometrial cancer at Zhujiang Hospital, Southern Medical University in Guangzhou (the distance between Chengdu and Guangzhou > 1500 km). Perioperative data were collected and analyzed. RESULTS: Both procedures were successfully completed without conversion to laparotomy or the use of additional auxiliary ports. The operative times for the Chengdu-Lhasa and Chengdu-Guangzhou surgeries were 90 minutes and 135 minutes, respectively, with estimated blood loss ≤ 50 mL in both cases. The intraoperative bidirectional network latency remained around 40 ms, and the total end-to-end latency was less than 60 ms. The surgeon reported no perceptible delay in instrumental response. Both patients recovered well postoperatively, and no surgery-related complications or disease recurrence were observed during follow-up until July 2025. CONCLUSION: This study provides preliminary evidence supporting the feasibility and safety of a domestically developed single-arm, single-port robotic system for performing complex gynecological surgeries in ultra-remote and high-altitude settings. This technical approach offers a promising solution to address geographic disparities in access to high-quality medical resources and demonstrates significant potential for improving the availability of advanced minimally invasive surgery in remote areas and regions of special settings.
[From the [Formula: see text]Method to the [Formula: see text]Method: A More Rigorous Approach to Real-time Quantitative Polymerase Chain Reaction Data Analysis].
Feng L, Zhao R, Zhang K … +1 more , Yang W
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416160 · Full text
OBJECTIVE: To optimize the real-time quantitative polymerase chain reaction (RT-qPCR) data analysis process through mathematical principles by replacing the biased [Formula: see text] method with a more rigorous [Formula...
OBJECTIVE: To optimize the real-time quantitative polymerase chain reaction (RT-qPCR) data analysis process through mathematical principles by replacing the biased [Formula: see text] method with a more rigorous [Formula: see text] method, thereby improving the accuracy of gene expression quantification analysis. METHODS: Essentially, the value serves as the exponent in a base-2 exponential equation within the logic of comparative method. In the traditional [Formula: see text] method, the arithmetic means of raw and Δ values are directly calculated and the exponential nature of data is overlooked, which may introduce systematic bias to the calculation results. We propose a new method, entitled the [Formula: see text] method, in which all calculations are based on the transformation of values into [Formula: see text]. This includes computing the relative initial expression levels of target and reference genes within each sample, the relative abundance of the target gene, and its fold change across groups. Statistical comparisons are then performed based on fold change values. By strictly adhering to the exponential nature of of values, the biases introduced by arithmetic averaging at the or Δ level are avoided. We applied this method to multiple RT-qPCR datasets to evaluate the differences between the traditional [Formula: see text] and the proposed [Formula: see text] methods in gene expression quantification, as well as the effect of the differences. RESULTS: In the original dataset from LIVAK and SCHMITTGEN, the two methods produced similar results. However, in the cadmium exposure experiment, findings from the [Formula: see text] method indicated that 8-hour cadmium exposure caused an increase of gene expression in from 1.314-fold to 7.125-fold ( = 0.0002). In contrast, findings from the [Formula: see text]method showed a fold change from 1.0 to 4.124 ( = 0.0015), a 70% difference between the two methods. CONCLUSION: The [Formula: see text] method provides a mathematically more rigorous approach that more accurately reflects gene expression changes, particularly in experiments with high variability. It offers a more reliable computational paradigm for quantitative gene expression analysis.
[Dynamic Effects of High-Altitude Exposure on Sleep and Mood States and the Underlying Neural Mechanisms].
He W, Li H, Meng J … +10 more , Feng L, Zhou Z, Huang Y, Xiang K, Li H, Li X, He Y, Luo X, Che L, Huang X
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416159 · Full text
OBJECTIVE: To analyze changes in sleep, mood state, and brain function in healthy populations living in near-sea-level environments before and after exposure to high-altitude environment, and to explore the correlations...
OBJECTIVE: To analyze changes in sleep, mood state, and brain function in healthy populations living in near-sea-level environments before and after exposure to high-altitude environment, and to explore the correlations between regional brain functional changes and variations in sleep and mood states. METHODS: A total of 45 healthy volunteers were enrolled. The participants came from regions of near-sea-level altitudes and were exposed to the high-altitude environment for a short period of time. The Pittsburgh Sleep Quality Index (PSQI), Zung Self-Rating Depression Scale (SDS), Patient Health Questionnaire-9 (PHQ-9), Zung Self-Rating Anxiety Scale (SAS), and Generalized Anxiety Disorder-7 (GAD-7) were administered to assess sleep quality as well as depressive and anxiety symptoms at 4 time points-prior to high-altitude exposure, immediately after exposure, one month after returning to low-altitude regions, and three months after returning to low-altitude regions. Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected before and after high-altitude exposure, and regional brain functional parameters, including the amplitude of low-frequency fluctuations (ALFF) and functional connectivity strength, were analyzed. Statistical analyses were performed, including a linear mixed-effects model to evaluate longitudinal changes in scale scores, paired-sample -tests to compare brain function differences before and after exposure, and Pearson correlation analyses to examine the relationship between brain functional changes and alterations in sleep and mood states. RESULTS: Compared with the pre-exposure findings, the participants exhibited significantly increased PSQI scores (8.89 ± 4.41 vs. 5.08 ± 2.69, < 0.05) and PHQ-9 scores (3.60 ± 4.19 vs.1.54 ± 2.30, < 0.05) immediately after high-altitude exposure. One month after returning to the low-altitude environment, both sleep and depression scores decreased relative to the findings immediately after exposure (PSQI: 3.88 ± 2.13 vs. 8.89 ± 4.41, < 0.05; PHQ-9: 1.50 ± 2.25 vs. 3.60 ± 4.19, < 0.05) and showed no statistically significant difference compared with the pre-exposure findings ( > 0.05). Three months after returning to near-sea-level environment, sleep, depression, and anxiety scores were all reduced compared with the findings immediately after exposure (PSQI: 3.76 ± 2.31 vs. 8.89 ± 4.41, < 0.05; PHQ-9: 1.24 ± 2.13 vs. 3.60 ± 4.19, < 0.05; SAS: 23.84 ± 5.93 vs. 27.93 ± 7.05, < 0.05), also showing no significant difference compared with the pre-exposure levels ( > 0.05). Brain function analysis revealed that, relative to the pre-exposure levels, ALFF in the bilateral superior temporal gyrus, insula, and dorsolateral prefrontal cortex (DLPFC) increased after high-altitude exposure ( < 0.05), and that functional connectivity strength in the DLPFC was also elevated ( < 0.05). Furthermore, changes in DLPFC functional connectivity strength were positively correlated with changes in sleep and mood scores ( < 0.05). CONCLUSION: High-altitude exposure has a significant impact on the sleep, mood states, and brain function of populations from near-sea-level regions, and DLPFC, in particular, is closely associated with changes in sleep and mood states. The findings of this study provide a theoretical basis for health management and intervention strategies in high-altitude environments.
[Effects of Multiple Lifestyle Factors on Cardiovascular Biological Aging and Their Relative Contributions].
Cai J, Zhang N, Xiang Y … +2 more , Zhang H, Xiao X
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416158 · Full text
OBJECTIVE: To investigate the association between healthy lifestyle factors and cardiovascular biological aging, as well as the relative contributions of different lifestyle factors. METHODS: Based on the clinical bioche...
OBJECTIVE: To investigate the association between healthy lifestyle factors and cardiovascular biological aging, as well as the relative contributions of different lifestyle factors. METHODS: Based on the clinical biochemical data and anthropometric data from the baseline survey of the UK Biobank (UKB), the Klemera-Doubal method (KDM) was used to establish cardiovascular biological age (CBA), and CBA acceleration was calculated accordingly. Multiple linear regression models were used to estimate the associations between healthy lifestyle factors and CBA acceleration. Then, the Quantile g-computation (QGC) was applied to evaluate the relative contributions of different lifestyle factors to CBA acceleration, with further analyses conducted separately for male and female populations. Additionally, stratified analyses were performed based on age, sex, body mass index (BMI), racial background, and family history of cardiovascular diseases to examine population heterogeneity. RESULTS: A total of 251478 participants were included in the study. Both the overall healthy lifestyle score and each of the 7 lifestyle factors were negatively associated with CBA acceleration (overall lifestyle score: = －0.75, 95% CI: －0.77 to －0.73). Regarding the relative contributions of different lifestyle factors, alcohol consumption and diet accounted for the highest proportions (25.8% and 25.7%, respectively). However, there were differences by sex-alcohol consumption contributed the most in men (29.5%), followed by diet (23.0%), while in women, diet contributed the most (34.5%) and alcohol consumption accounted for a relatively low proportion (5.5%). Stratified analyses suggested that sex, BMI, and race might be potential effect modifiers. CONCLUSION: Lifestyle factors, as modifiable behaviors, can slow the rate of cardiovascular biological aging. Among these factors, alcohol consumption and diet may represent effective targets for intervention.
[Central Nervous System Infection After Neuroendoscopic and Microscopic Combined Hematoma Removal: Risk Factors and Construction of a Nomogram Prediction Model].
Liang D, Zhou K, Shu B
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416157 · Full text
OBJECTIVE: To analyze the risk factors associated with central nervous system (CNS) infection in patients after neuroendoscopic hematoma removal combined with and microscopic hematoma removal, and to construct and valida...
OBJECTIVE: To analyze the risk factors associated with central nervous system (CNS) infection in patients after neuroendoscopic hematoma removal combined with and microscopic hematoma removal, and to construct and validate a nomogram prediction model. METHODS: A total of 460 patients who underwent neuroendoscopic hematoma removal combined with microscopic hematoma removal at our hospital between January 2021 and December 2024 were retrospectively enrolled. The patients were assigned to a modeling cohort ( = 322) and a validation cohort ( = 138) in a 7∶3 ratio. Furthermore, the modeling cohort was divided into an infection group ( = 68) and a non-infected group ( = 254) according to whether CNS infection occurred. The independent predictors of central nervous system infection were identified by logistic regression analysis, and a nomogram prediction model was constructed accordingly. RESULTS: The overall incidence of CNS infection in the 460 patients was 20.65% (95/460). According to the logistic regression analysis, the independent risk factors for CNS infection in patients after neuroendoscopic and microscopic combined hematoma removal included a history of diabetes mellitus (odds ratio [OR] = 3.431, 95% CI: 1.300-9.057), the Glasgow Coma Scale (GCS) score (OR = 0.574, 95% CI: 0.462-0.711), cerebrospinal fluid leakage (OR = 4.492, 95% CI: 1.430-14.116), operation duration (OR = 1.011, 95% CI: 1.004-1.019), duration of drainage tube placement (OR = 5.452, 95% CI: 2.423-12.268) and albumin (ALB) level (OR = 0.778, 95% CI: 0.720-0.840) ( < 0.05). Based on these risk factors, a nomogram prediction model was constructed, and the area under the receiver operating characteristic curve (AUC) of the predicted events in the modeling cohort and the validation cohort was 0.928 (95% CI: 0.895-0.960) and 0.918 (95% CI: 0.885-0.951), respectively. The calibration curve fitted well with the ideal curve (Hosmer-Lemeshow test, > 0.05), and the decision curve analysis demonstrated significant net benefit. CONCLUSION: The nomogram model based on history of diabetes mellitus, GCS score, cerebrospinal fluid leakage, operation duration, duration of drainage tube placement, and ALB level demonstrates high predictive performance for CNS infection after neuroendoscopy-assisted microscopic hematoma removal.
[Integration of Microbiome Research and the One Health Approach Promotes Innovation and Development in Public Health Laboratory Sciences].
Yang R
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416156 · Full text
As global health challenges become increasingly complex and multidimensional, microbiome research and the One Health approach-along with their integration-actively promote the development of the field of public health la...
As global health challenges become increasingly complex and multidimensional, microbiome research and the One Health approach-along with their integration-actively promote the development of the field of public health laboratory sciences. The microbiome is an essential component of the human body, animals, and the environment. Microbiome research not only elucidates the interaction mechanisms between microorganisms and their hosts but also provides an irreplaceable material basis for the well-being of humans, animals, and the environment, offering new perspectives for the prevention, diagnosis, and treatment of human diseases. Additionally, the One Health approach emphasizes the interconnectedness of human, animal, and environmental health, establishing a theoretical foundation for interdisciplinary collaboration and global health management. The integration of the microbiome and the One Health approach establishes the notion of "the balance of dynamic factors" as a scientific principle underpinning One Health. This integration holds far-reaching implications for expanding new fields and developing new technologies in public health laboratory sciences, as well as informing public health practices.
[Determination of 18 Perfluorinated Compounds in Tea Leaves by a Quick, Easy, Cheap, Effective, Rugged, and Safe Method Combined With Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry].
Sun W, Chuai Y, Zhou X … +5 more , Zhang T, Yong L, Ren L, Luo X, Zou X
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416155 · Full text
OBJECTIVE: To establish an analytical method for the simultaneous determination of 18 perfluoroalkyl compounds (PFCs) in tea leaves using a quick, easy, cheap, effective, rugged, and safe (QuEChERS) method for sample pre...
OBJECTIVE: To establish an analytical method for the simultaneous determination of 18 perfluoroalkyl compounds (PFCs) in tea leaves using a quick, easy, cheap, effective, rugged, and safe (QuEChERS) method for sample pretreatment combined with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). METHODS: The target analytes-18 PFCs-included 13 carboxylic acid PFCs (perfluorobutanoic acid [PFBA], perfluoropentanoic acid [PFPeA], perfluorohexanoic acid [PFHxA], perfluoroheptanoic acid [PFHpA], perfluorooctanoic acid [PFOA], perfluorononanoic acid [PFNA], perfluorodecanoic acid [PFDA], perfluoroundecanoic acid [PFUdA], perfluorododecanoic acid [PFTrDA], perfluorotridecanoic acid [PFTeDA], perfluorotetradecanoic acid [PFHxDA], perfluorohexadecanoic acid [PFHpS], and perfluorooctadecanoic acid [PFODA]) and 5 sulfonic acid PFCs (perfluorobutanesulfonic acid [PFBS], perfluorohexanesulfonic acid [PFHxS], perfluoroheptanesulfonic acid [PFHpS], perfluorooctanesulfonic acid [PFOS], and perfluorodecanesulfonic acid [PFDS]). The QuEChERS pretreatment parameters were systematically optimized using the response surface methodology. The tea leave samples were extracted with an 80% acetonitrile solution and subsequently purified by adding a mixed absorbent consisting of 20 mg N-propyl-ethylenediamine (PSA), 210 mg graphitized carbon black GCB), and 60 mg octadecylsilane (C). The supernatant was concentrated by nitrogen blowing and subsequently re-dissolved in 50% methanol-2 mmol/L ammonium acetate solution. The re-dissolved solution was injected into the UHPLC-MS/MS for analysis. The target analytes were separated on an ACQUITY UPLC BEH C column (2.1 mm × 50 mm, 1.7 µm). The mobile phases consisted of methanol (phase A) and 2 mmol/L aqueous ammonium acetate (phase B), with a gradient elution procedure. The total running time was 18 min. The mass spectrometry analysis was conducted using an electrospray ionization source in negative ionization mode and multi-reaction monitoring (MRM), with quantification performed using the internal standard curve method. The greenness of the analytical method was assessed using Analytical GREEnness calculator (AGREE) and the Analytical Eco-Scale method (AES). RESULTS: Under the optimized conditions, the limits of detection (LODs) and limits of quantification (LOQs) of the method were 0.0057-1.23 ng/g and 0.019-4.09 ng/g, respectively. The average recoveries of most target compounds were 71.1%-117.9%, with relative standard deviations (RSDs) below 15%. The AGREE index of the method was 0.49, and the AES score was 76. At least one PFC was detected in each of the 132 tea leave samples, and the detection rate of carboxylic acid PFC was higher than that of sulfonic acid PFC. The highest detection rates were observed for PFBA at 97.74%, PFHpA at 93.23%, and PFOA at 92.24%. In contrast, PFHpS, PFUdA, PFDoA, PFHxDA, and PFODA were not detected in the samples. CONCLUSION: The proposed method has the advantages of simplicity, rapidity and sensitivity, and is suitable for the analysis of PFCs in tea leaves. The method has high greenness with minimal impact on the operator and the environment. The widespread presence of PFC contamination in tea leaves available in the market warrants strengthened monitoring and regulatory control.
[Research Progress on the Mechanisms of Visual Cortical Plasticity].
Dong Y, Liu L
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416154 · Full text
A growing body of evidence indicates that the visual cortex retains a considerable degree of plasticity well into adulthood, suggesting that the visual acuity and binocular visual function of adult amblyopic patients can...
A growing body of evidence indicates that the visual cortex retains a considerable degree of plasticity well into adulthood, suggesting that the visual acuity and binocular visual function of adult amblyopic patients can be improved even beyond the critical period of visual development. Currently, as novel treatment options for amblyopia, pharmacological and non-invasive methods that can enhance the plasticity of the visual cortex have not yet been widely applied in clinical practice. Therefore, it is of critical importance to investigate the underlying mechanisms of visual cortex plasticity to pave the way for the development of new therapeutic strategies for amblyopia. This paper reviews current research progress on mechanisms contributing to changes in visual cortical plasticity, including the regulation of the balance between excitatory and inhibitory neural activities, extracellular matrix remodeling, inhibitory factors associated with plasticity, and neurotrophic factors. With the continued advancement of various neuroimaging technologies, future research should aim to elucidate the precise mechanisms that control the initiation and closure of the critical period, and to clarify how the various factors involved in the regulation of visual cortical plasticity act jointly across different cell types and signaling pathways. Such investigations will provide new approaches and strategies for the treatment of amblyopia.
[Mother-to-Child Transmission of Chikungunya Virus and Its Impact on the Neonatal Nervous System].
Luo K, Tang J
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416153 · Full text
Chikungunya fever is an infectious disease caused by the Chikungunya virus (CHIKV), an arbovirus. In recent years, large-scale outbreaks of Chikungunya fever have occurred in many parts of the world, posing a serious cha...
Chikungunya fever is an infectious disease caused by the Chikungunya virus (CHIKV), an arbovirus. In recent years, large-scale outbreaks of Chikungunya fever have occurred in many parts of the world, posing a serious challenge to public health. Perinatal infection of CHIKV and its impact on neonates have attracted growing attention. This article aims to introduce the mechanisms and the influencing factors of mother-to-child transmission of CHIKV and to explore its impact on the nervous system in neonates. According to reported findings, CHIKV can cross the placental barrier, causing infection in the fetus, and can cross the blood-brain barrier, leading to various neurological diseases in neonates, such as microcephaly and encephalitis. In addition, factors influencing mother-to-child transmission include the maternal viral load and the stage of pregnancy at the time of infection. Through a review of current scholarly works, this article provides ideas and a theoretical basis for the prevention and control of mother-to-child transmission of CHIKV and for research into the mechanisms underlying CHIKV-induced brain injury in neonates.
[Characterization of the Effect of Tongue on Palatal Shelf Elevation Patterns in a Mouse Model of Palatogenesis].
Zhang Y, Yang H, Zhang D … +2 more , Li D, Wang X
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416152 · Full text
OBJECTIVE: To investigate the mechanisms underlying regional heterogeneity in the elevating patterns of palatal shelf during mammalian craniofacial development. METHODS: Using a mouse model of embryonic palatal developme...
OBJECTIVE: To investigate the mechanisms underlying regional heterogeneity in the elevating patterns of palatal shelf during mammalian craniofacial development. METHODS: Using a mouse model of embryonic palatal development, we acquired coronal multi-plane slices of the palatal shelves before elevation (early E13.5), during elevation (late E13.5), and after elevation (early E14.5). Hematoxylin and eosin (HE) staining was performed to compare the morphological changes and spatial correlations between the palate and tongue. Immunofluorescence staining of myosin heavy chain 1 (MYH1), a marker found in slow muscle fibers and responsible for muscle contraction and movement, was performed to observe the tongue muscle development characteristics at different stages. We also observed changes in the palatal shelf elevating patterns at early E13.5 in the absence of the tongue through HE-stained palate organ culture. Further immunofluorescence staining of tenascin-C, an extracellular matrix protein, was performed to evaluate the effect of the tongue on the elevating pattern of the palatal shelf along the anterior-posterior axis. RESULTS: HE staining results of the coronal multi-plane slices showed that during the elevation period, from the posterior toward anterior, the coronal height of the tongue decreased, lateral inclination and flattening increased, but the sagittal length of the tongue increased. The elevating pattern of the palatal shelf changed from slow remodeling to rapid flipping, and MYH1 was abundantly expressed in both the internal and external muscle bundles of the tongue during this period. According to findings from cultivation of palatal organs, the posterior part of the palatal shelf elevated without forming new lateral lingual protrusions in the absence of the tongue. The regional expression pattern of tenascin-C was consistent with that observed before elevation. The posterior palate exhibited an elevation pattern similar to that of the anterior region. CONCLUSION: The tongue may play a crucial role in shaping the posterior morphological remodeling and distinct elevation patterns of the palatal shelf.
[Actor-Partner Interdependence Model Analysis of the Relationship Between Individual Social Capital and Depressive Symptoms Among Older Couples Across Different Socioeconomic Statuses].
Wang Y, Bian Y, Gao B
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416151 · Full text
OBJECTIVE: To investigate the effects of individual social capital on depressive symptoms among older couples across different socioeconomic statuses (SES) using the actor-partner interdependence model (APIM). METHODS: A...
OBJECTIVE: To investigate the effects of individual social capital on depressive symptoms among older couples across different socioeconomic statuses (SES) using the actor-partner interdependence model (APIM). METHODS: A cross-sectional survey was conducted using a staged sampling method, involving 245 older couples from communities in Chengdu, China. Data on household SES, individual social capital, and depression levels were collected. Pearson correlation analysis was performed to examine the relationships among these variables, and the APIM was applied to analyze the actor and partner effects of individual social capital on depression across different SES groups. RESULTS: The prevalence of depressive symptoms was 38.2%. Individual social capital of the husbands and wives was negatively correlated with their personal depression levels (actor effects among the husbands: = －0.218, < 0.01; those among the wives: = －0.323, < 0.01) and with the spouse's depression levels (partner effects: husband on wife, = －0.185, < 0.01; wife on husband: = －0.183, < 0.01). Among high-SES couples, the husband's social capital had a protective effect only on his own depression ( = －0.242, 95% CI: －0.462 to －0.054). In contrast, among low-SES couples, the wife's individual social capital exhibited a protective effect against depressive symptoms both for herself ( = －0.658, 95% CI: －0.848 to －0.456) and for the husband ( = －0.379, 95% CI: －0.630 to －0.143). CONCLUSION: Individual social capital among older couples demonstrates both actor and partner effects on depression levels, with distinct pathways of influence observed across different levels of SES. These findings highlight the importance of considering socioeconomic status when designing interventions to enhance social capital and improve mental health outcomes in older couples.
[New Technologies and Application Developments in Sample Pretreatment for Public Health Laboratory Testing].
Shen Y, Zhu Y, Zhou H … +4 more , Cao J, Zhang H, Jin M, Li L
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416150 · Full text
Public health laboratory testing involves a wide range of sample types, complex matrices, diverse target analytes with varying concentrations, and multiple application contexts with different analytical requirements. As...
Public health laboratory testing involves a wide range of sample types, complex matrices, diverse target analytes with varying concentrations, and multiple application contexts with different analytical requirements. As a critical step in public health laboratory analysis and testing, sample pretreatment plays a decisive role in ensuring the reproducibility and efficiency of the analytical methods. It directly affects the accuracy, sensitivity, and reliability of testing results, as well as the feasibility of downstream analyses. Traditional sample pretreatment techniques face persistent challenges, including low efficiency, limited throughput, restricted universal applicability, high organic solvent consumption, and poor compatibility with downstream analytical procedures. These limitations constrain their capacity to meet the evolving demands of research and practice in public health and preventive medicine. In recent years, technological advances have focused on improving efficiency and automation, enhancing selectivity and sensitivity, facilitating online testing capabilities, and promoting environmental sustainability. Sample pretreatment techniques in public health laboratory testing have been undergoing progressive upgrades, and numerous novel technologies have emerged. The paper provides a comprehensive review of new technologies and applications in the field. We focused on the development of new materials, the application of artificial intelligence, connections for online processing, and the approaches tailored to the demands of specific testing settings. We also discussed sample processing for omics analyses and mass spectrometry imaging methods relevant to public health laboratory testing. These advances are expected to support the development of greener and higher-throughput sample pretreatment and foster innovation in the public health laboratory testing system.
[Risk Prediction Performance of Blood Biomarkers for Bipolar Disorder With Psychotic Symptoms].
Ni Z, Yin J, Wang X … +4 more , Zhou Y, Mo X, Sun L, Zhang W
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416149 · Full text
OBJECTIVE: To investigate biological markers associated with psychotic symptoms in patients with bipolar disorder (BD) based on electronic medical records of patients, and to develop an interpretable risk prediction mode...
OBJECTIVE: To investigate biological markers associated with psychotic symptoms in patients with bipolar disorder (BD) based on electronic medical records of patients, and to develop an interpretable risk prediction model that supports the identification of high-risk individuals and that facilitates decision-making for providing clinical intervention in a timely manner. METHODS: A total of 2352 patients diagnosed with BD and admitted to West China Hospital, Sichuan University were enrolled using the electronic medical records system of the hospital. The participants were divided into two subgroups, the bipolar disorder depression (BDD) group and the bipolar disorder mania (BDM) group. The logistic regression algorithm was used to train and validate the prediction model, and interpretability methods were used to analyze the contribution of each feature to individuals and the effect of the features on specific target prediction decisions. RESULTS: The logistic regression model demonstrated robust predictive performance across the BD, BDD, and BDM cohorts, with areas under the curve (AUC) of the receiver operating characteristic curves always exceeding 81.6%. The core predictive features included platelet distribution width (PDW), fibrinogen (FIB), platelet large cell ratio (P-LCR), activated partial thromboplastin time (APTT), prothrombin time (PT), and triglyceride (TG). The logistic regression model exhibited strong interpretability and was combined with nomograms for intuitive risk quantification and individualized prediction. CONCLUSION: The logistic regression model enables rapid and simple screening of BD patients with psychotic symptoms. Distinct patterns of changes observed in blood biomarkers of BDD and BDM subgroups enrich the understanding of the underlying pathophysiological mechanisms and highlight the importance of considering subtypes in the intervention and management of patients.
[Thoughts and Prospects on Precision Control and Intelligent Positioning Robotic Systems Applied in Nasojejunal Feeding Tube Placement].
Qiu Y, Hong R, Xiang G … +7 more , Hong D, Zhang Y, Li K, Qian H, Dian S, Li K, Pu W
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416148 · Full text
Nasojejunal feeding tubes are widely used in surgical, intensive care, and older patients. Manual blind insertion of nasojejunal feeding tubes is technically challenging, associated with a high failure rate, and prone to...
Nasojejunal feeding tubes are widely used in surgical, intensive care, and older patients. Manual blind insertion of nasojejunal feeding tubes is technically challenging, associated with a high failure rate, and prone to complications. The primary causes of suboptimal placement outcomes are the uncertainty and weak controllability of the interaction forces during the coordination between manual posterior advancement and the patient's physiological state. While current auxiliary techniques such as X-ray, ultrasound, and endoscopy can improve the success rate of nasojejunal tube placement and reduce complications to some extent, the accuracy and safety of placement remain constrained by challenges in controlling insertion forces and achieving precise positional localization. Robotic technology holds promise for addressing the uncertainties and controllability issues inherent in the placement process. By leveraging precise sensing, real-time navigation, and efficient control, robots can achieve intelligent positioning and precise control over the direction and location of the catheter tip during nasojejunal intubation. However, current research on robotic applications for nasojejunal feeding tube placement is still in an early stage, facing challenges such as high costs, operational complexity, and concerns over safety and reliability. Herein, we analyzed the limitations and causes of failure in existing placement methods and explored the application prospects of robotic technologies for precise control and intelligent positioning in nasojejunal feeding tube placement. The paper provides new insights for developing nursing techniques that enable safer and more effective, comfortable, and rapid intubation. Future efforts should focus on deepening the integration of artificial intelligence and robotics, optimizing drive technologies, and accelerating the translation of these technologies from the laboratory to clinical practice. This will drive the advancement of nasojejunal feeding tube placement techniques towards intelligent, precise, and accessible solutions.
[High-Throughput Detection of Multiple Classes of Antibiotics in Source Water Using a Functionalized Polyacrylonitrile Nanofiber Membrane].
Wang K, Nian Q, Wang C … +2 more , Zhang Q, Xu Q
Sichuan Da Xue Xue Bao Yi Xue Ban · 2025 Sep · PMID 41416147 · Full text
OBJECTIVE: To develop a novel solid-phase extraction (SPE) method based on a functionalized nanofiber membrane for the efficient co-extraction of structurally diverse antibiotics with markedly different physicochemical p...
OBJECTIVE: To develop a novel solid-phase extraction (SPE) method based on a functionalized nanofiber membrane for the efficient co-extraction of structurally diverse antibiotics with markedly different physicochemical properties from source water, and to establish a high-throughput analysis method by coupling this technique with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). METHODS: A polydopamine and zirconium (Ⅳ) fumarate metal-organic frameworks (MOF-801) co-modified polyacrylonitrile nanofiber membrane (PDA@PAN/MOF-801 NFMs) was prepared as the SPE adsorbent through hybrid electrospinning and dopamine self-polymerization. Critical SPE and UPLC-MS/MS parameters were optimized, and the method was applied to analyze antibiotic contamination in source water samples from 14 sources of centralized drinking water supply in Suzhou, China, to evaluate the practical application potential of the method. RESULTS: The PDA@PAN/MOF-801 NFMs adsorbent demonstrated efficient adsorption of 32 antibiotics from 6 classes through multiple retention mechanisms, including synergistic electrostatic interactions, hydrogen bonding, and π-π interactions. In combination with UPLC-MS/MS, the SPE method we developed enabled high-throughput detection of multiple antibiotics in source water, with limits of detection (LOD) being 0.001-0.05 ng/L and limits of quantitation (LOQ) being 0.005-500 ng/L. Spiked recoveries were 70.14%-111.50%. Intra-day relative standard deviation (RSD) was below 14.12% and the inter-day RSD was below 15.07%. The method demonstrated excellent sensitivity, accuracy, and precision. CONCLUSION: In this study, we successfully developed an efficient analytical method based on a novel nanofiber membrane adsorbent. This approach provides a new technical reference for the high-throughput detection of multiple antibiotics in environmental waters and shows promising potential for practical applications.
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