1.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
2.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
3.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
4.Evaluation of the anticoagulant effect of nafamostat mesylate in continuous veno-venous hemofiltration with different dilution methods for uremic patients
Li SHEN ; Yao ZHANG ; Jun WANG ; Hong ZHU ; Yong QIN ; Yuewu TANG ; Ni DU
China Pharmacy 2026;37(3):350-355
OBJECTIVE To evaluate the anticoagulant efficacy and safety of nafamostat mesylate (NM) in the treatment of uremic patients at high risk of bleeding undergoing continuous veno-venous hemofiltration (CVVH) with different methods (pre- dilution and post-dilution). METHODS A total of 130 uremic patients at high risk of bleeding who underwent CVVH treatment in the nephrology department of Chongqing University Three Gorges Hospital from July 2023 to September 2024 were selected. They were divided into pre-dilution group and post-dilution group according to the random number table method, with 65 cases in each group. Both groups of patients received CVVH treatment under NM anticoagulation. The pre-dilution group adopted the pre-dilution replacement method, while the post-dilution group adopted the post-dilution replacement method. The coagulation, pressure, and usage duration of the filter and dialysis circuit venous reservoirs were compared between the two groups. The changes in prothrombin time (PT), prothrombin time-international normalized ratio (PT-INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB) in the peripheral venous blood before the heparin pump and after the filter at 1, 4 and 7 h of CVVH treatment, as well as 20 min after the end of treatment, were compared between the two groups. The single-compartment urea clearance rate (spKt/V), β2-microglobulin (β2-MG) clearance rate and the incidence of adverse reactions were duni2007@foxmail.com compared between the two groups. RESULTS Both the pre-dilution and post-dilution groups had 60 patients who completed the study. The incidence of grade Ⅱ-Ⅲ coagulation of the filter and venous reservoirs, as well as the number of patients with transmembrane and venous pressure alarm intervention in the post- dilution group were significantly higher or more than those in the pre-dilution group (P<0.05), while usage time of the filter and the pipeline in the post-dilution group was significantly shorter than that in the pre-dilution group (P<0.05). The APTT values before the heparin pump as well as PT and APTT values after the filter at 1 h, 4 h, and 7 h of CVVH treatment in the post-dilution group were significantly higher than those in the pre-dilution group (P<0.001). There were no significant differences in PT, PT- INR, APTT and FIB between the two groups of patients 20 min after the end of treatment (P>0.05). The spKt/v and β2-MG clearance rates in the post-dilution group were significantly higher than those in the pre-dilution group (P<0.001). There was no significant difference in the incidence of adverse reactions between the two groups (P>0.05). CONCLUSIONS When NM is used as an anticoagulant in the CVVH treatment of uremic patients at high risk of bleeding, compared with the pre-dilution treatment method, the post-dilution treatment method has a higher incidence of filter and dialysis tubing venous reservoir, a shorter usage time of the filter and pipeline, and a greater impact on extracorporeal coagulation, but has a higher solute clearance rate. Clinically, different dilution methods can be selected according to the different treatment needs of patients.
5.Sequence analysis of variable regions of human monoclonal anti-P immunoglobulin
Zhonghui GUO ; Dong XIANG ; Qin LI ; Ziyan ZHU
Chinese Journal of Blood Transfusion 2026;39(1):24-30
Objective: To identify the structure of the complementarity determining region (CDRs), the V(D)J rearrangement and somatic hypermutational characteristics of the heavy and light chains of a red blood cell blood group-specific monoclonal antibody. Methods: The hybridoma cell line secreting human IgM κ monoclonal anti-P antibody was used as the research object. Total RNA was extracted from cultured monoclonal cell line, and cDNA was obtained by reverse transcription PCR (RT-PCR) using random hexamers primers. It was then amplified and sequenced using primers specific for variable regions of the immunoglobulin heavy and light chains encoding the anti-P antibody. The sequences were aligned against the NCBI database using online Immunoglobulin BLAST (Ig-BLAST) tool. Results: The study determined the structure of the CDRs and framework regions (FRs) of the variable regions of human monoclonal anti-P immunoglobulin, as well as the characteristics of V(D)J rearrangement. Moreover, the closest VH, VD, and VJ germline alleles for the heavy chain and VL and VJ germline alleles for the light chain were also identified. The IgH gene rearrangment pattern of the monoclonal anti-P was IGHV6-1
* 01—IGHD5-18
02—IGHJ4
02 and IgL gene was IGκV1-12
01—IGκJ3
01. Nine base mutations occurred within the germline gene IGHV6-1
01 in variable region of heavy chain, whereas 5 base mutations were found in the germline gene IGκV1-12
01 in variable region of light chain, respectively. Conclusion: This study characterized the CDR structure in monoclonal antibody cell line targeting the high-frequency red blood cell P antigen, and provided a foundation for the construction of recombinant antibody expressing plasmids and transfomation of the immunoglobulin type.
6.Mental health status and influencing factors among the elderly in Hubei Province
Chenlu YANG ; Shuzhen ZHU ; Yang LI ; Jin LIU ; Shuhua ZHOU
Journal of Public Health and Preventive Medicine 2026;37(1):93-97
Objective To investigate the prevalence, distribution characteristics, and influencing factors of mental health problems among the elderly, and to provide a scientific basis for policy-making. Methods A convenience sampling method was used to investigate depression, anxiety, and cognitive function among permanent residents aged 65 and older at 59 mental health care sites for the elderly in Hubei Province. Multinomial logistic regression was employed to analyze influencing factors. Results The screening rates for depression, anxiety, and cognitive function at critical/high-risk levels among the elderly in Hubei Province were 9.7%, 5.4%, and 12.2%, respectively. Urban elderly had lower risks of depression and cognitive function at critical/high-risk levels compared to rural elderly (OR for critical depression = 0.640, P < 0.001; OR for high-risk depression = 0.595, P = 0.012; OR for critical cognitive function = 0.448, P < 0.001; OR for high-risk cognitive function = 0.188, P < 0.001). Six key population groups had higher risks of depression, anxiety, and cognitive function at critical/high-risk levels than others (OR for critical depression = 1.463, P < 0.001; OR for high-risk depression = 1.912, P < 0.001; OR for critical anxiety = 1.462, P < 0.001; OR for high-risk anxiety = 2.882, P < 0.001; OR for critical cognitive function = 1.381, P < 0.001; OR for high-risk cognitive function = 2.345, P < 0.001). A higher number of chronic diseases was associated with increased risks of critical and high-risk depression (OR for critical = 1.316, P < 0.001; OR for high-risk = 3.677, P < 0.001) and cognitive impairment (OR for critical depression = 1.316, P < 0.001; OR for high-risk depression = 3.677, P < 0.001; OR for critical anxiety = 1.512, P < 0.001; OR for high-risk anxiety = 1.801, P < 0.001). Conclusion It is recommended to expand mental health care sites in rural areas, improve the layout of mutual-support elderly care facilities, and explore sustainable models for rural elderly care. Efforts should also focus on enhancing social participation among the elderly through community-based activities, and strengthening cognitive screening and emotional regulation interventions, with particular attention to the mental health needs of older, isolated, and chronically ill individuals.
7.Construction and characterization of recombinant human coagulation factor Ⅶ stable transfected cell lines
Xiaoxiao LI ; Jiabin CHEN ; Jiajun LIU ; Zhifei ZHANG ; Sen ZOU ; Lihua ZHU ; Zhaoyong YANG
Acta Universitatis Medicinalis Anhui 2026;61(1):16-22
ObjectiveTo construct a stable monoclonal human embryonic kidney 293 (HEK293) cell line expressing recombinant human coagulation factor Ⅶ (rhFⅦ) and evaluate the expression level and procoagulant bioactivity of rhFⅦ. MethodsThe plasmid pCDNA3.1-EGFP-FⅦ was transfected into HEK293 cells to verify the effectiveness of the transfection system. The plasmid pCDNA3.1-FⅦ was transfected into HEK293 cells, and monoclonal stable transfected cell lines were selected using geneticin (G418). The transcription of the FⅦ gene was identified by reverse transcription polymerase chain reaction (RT-PCR). The expression level of rhFⅦ in the supernatant of the monoclonal stable transfected cell line was detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and Western blot. The concentration of rhFⅦ was determined by enzyme-linked immunosorbent assay (ELISA), and the procoagulant activity of rhFⅦ was measured by human coagulation factor Ⅶ potency assay. ResultsHEK293 cells transfected with pcDNA3.1-EGFP-FⅦ showed green fluorescence, indicating that rhFⅦ was successfully expressed in the supernatant of HEK293 cells after transient transfection with pcDNA3.1-FⅦ. The monoclonal stable transfected cell line was obtained by G418 screening. RT-PCR identified that the FⅦ gene was integrated into the genome of the monoclonal stable transfected cell line. The cell viability was good as detected by Cell Counting Kit-8, and a single band of rhFⅦ was obtained by purification of the cell supernatant. The highest rhFⅦ expression was (1.27±0.09) mg/L, and the highest procoagulant activity was (380.29±13.80)%. ConclusionThe monoclonal HEK293 cell lines which can express rhFⅦ protein efficiently and stably with excellent procoagulant bioactivity is successfully screened.
8.Mechanistic study on ITGA6 regulation of abdominal wall endometriosis via the PI3K/AKT signaling pathway
Rong GU ; Hailiang HUANG ; Xinrui WANG ; Hanlu LI ; Kaijiang LIU ; Ying ZHU
Acta Universitatis Medicinalis Anhui 2026;61(1):67-74
ObjectiveTo investigate the differential expression of integrin alpha-6(ITGA6) in abdominal wall endometriosis (AWE) tissues and its molecular mechanisms in regulating AWE. Methods36 AWE lesions were designated as the experimental group, while 36 cases of normal endometrial tissues served as the controls. Differential expression of ITGA6 between the two groups was assessed through immunohistochemical (IHC) staining. Human ITGA6 gene-specific interference sequences were designed, synthesized, and packaged into lentiviral vectors to establish the Ishikawa cell line with ITGA6-knockdown. Similarly, the ITGA6-overexpression cell line was constructed using the coding sequence (CDS) of the gene. Real-time PCR and Western blot were performed to detect changes in epithelial-mesenchymal transition(EMT)-related markers and angiogenesis-related indicators. Cell invasion and migration capabilities were assessed by Cell Scratch and Transwell assays. Furthermore, Western blot was conducted to profile PI3K/AKT pathway dynamics. ResultsEctopic endometrial tissues exhibited a marked increase in the number of ITGA6-positive cells and their expression intensity compared to eutopic endometrium (each P < 0.001). Compared with the NC group, the ITGA6-knockdown group showed significantly reduced expression of N-cadherin, VEGF, and TGF-β1 (all P < 0.01), while E-cadherin expression was markedly increased (P < 0.01). Concomitantly, the invasion and migration capacities of ITGA6-low expression were significantly impaired (P < 0.001 for both), accompanied by a marked reduction in AKT and phosphorylated AKT(p-AKT) levels (P < 0.001). Conversely, overexpressing ITGA6 resulted in opposite effects. ConclusionITGA6 modulates EMT and angiogenesis in Ishikawa cells via the PI3K/AKT signaling pathway, thereby enhancing cell invasion and migration capabilities, which contributes to the pathogenesis of AWE.
9.Analysis of Blood-absorbed Components and Their Metabolic Differences of Xiebaisan in Normal and Chronic Bronchitis Mice Based on UPLC-Q-Exactive Orbitrap MS
Peng PENG ; Jiaxin LI ; Xinyue YANG ; Fangle LIU ; Chenchen ZHU ; Chaozhan LIN ; Yufeng YAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):219-227
ObjectiveThis study aims to systematically analyze the blood-absorbed components and metabolic profiles of Xiebaisan(XBS) in normal and chronic bronchitis (CB) mice using ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS), while comparing differences between the two states. MethodsThirty female BABL/c mice were randomly divided into the normal group, the normal drug administration group, the CB group, the CB drug administration group and the dexamethasone group, with 6 mice in each group. The CB mouse model was established by inducing with ovalbumin (OVA). The mice in the normal drug administration group and the CB drug administration group started to be gavaged with XBS(13.2 g·kg-1) from the 21st day, and the dexamethasone group mice were simultaneously gavaged with dexamethasone (0.5 mg·kg-1) until the end of the 35th day of the experiment. Subsequently, serum samples were collected and evaluated for their efficacy, based on the pharmacological evaluation indicators, to determine the efficacy of XBS in treating CB. Then the UPLC-Q-Exactive Orbitrap MS was employed to identify and analyze the chemical constituents, blood-absorbed components, and metabolites of XBS. Chemometric analysis was conducted to reveal metabolic profile differences under "dual states". Concurrently, Real-time PCR technology was utilized to detect the expression levels of key liver metabolic enzymes CYP2E1, CYP3A1, UGT1A1, and UGT1A6. ResultsA total of 28 prototype components and 158 metabolites (including 48 phase Ⅰ metabolites and 110 phase Ⅱ metabolites) of XBS were unambiguously identified in the serum of normal mice. Additionally, a comprehensive characterization was performed on a total of 32 prototype components and 178 metabolites (including 50 phase Ⅰ metabolites and 128 phase Ⅱ metabolites) of XBS in the serum of CB mice. Among them, 27 prototype components were detected in both states, including 12 flavonoids, 2 alkaloids, 3 triterpenes, 4 organic acids, 3 amides, 1 stilbene and 2 other compounds. The chemometrics analysis revealed no significant difference in the prototype components and metabolites of XBS between normal and CB mice; however, there was a significant increase in the in-vivo exposure of XBS in CB mice. Compared to normal mice, the levels of phase Ⅰ metabolites such as oxidation, reduction and methylation of blood components of XBS as well as phase Ⅱ metabolites of glucuronidation showed significant changes in CB mice. Real-time PCR further confirmed that these alterations were attributed to the upregulation of CYP2E1 (P<0.05), CYP3A1 (P>0.05), UGT1A1 (P<0.01) and UGT1A6 (P<0.01) enzymes expression in the liver of CB mice. ConclusionThis study elucidated the disparities in the levels of the blood-absorbed components and metabolic profiles of XBS in normal and CB mice, especially in oxidation, reduction, methylation in phase Ⅰ metabolism and glucoaldehyde acidification in phase Ⅱ metabolism. And there are related to the differences in the expression levels of phase Ⅰ and phase Ⅱ metabolic enzymes CYP2E1, CYP3A1, UGT1A1 and UGT1A6 in the liver.
10.Exploring on Quality Evaluation Methods of Clinical Case Reports in Traditional Chinese Medicine Based on China Clinical Cases Library of Traditional Chinese Medicine
Kaige ZHANG ; Feng ZHANG ; Bo ZHOU ; Haimin CHEN ; Yong ZHU ; Changcheng HOU ; Liangzhen YOU ; Weijun HUANG ; Jie YANG ; Guoshuang ZHU ; Shukun GONG ; Jianwen HE ; Yang YE ; Yuqiu AN ; Chunquan SUN ; Qingjie YUAN ; Buman LI ; Xingzhong FENG ; Kegang CAO ; Hongcai SHANG ; Jihua GUO ; Xiaoxiao ZHANG ; Zhining TIAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):271-276
As the core vehicle for preserving and transmitting traditional Chinese medicine(TCM) academic thought and clinical experience, the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine, this study conducted a comprehensive analysis of critical challenges, including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic, encompassing three dimensions of authenticity and standardization, characteristics and advantages, application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment, while aligning with modern scientific research standards, achieving a balance between individualized TCM experience and standardized evaluation. Concurrently, this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases, contributing significantly to the inheritance of TCM knowledge, evidence-based practice, and the reform of talent evaluation mechanisms.


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