1.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.
2.Effects and mechanisms of combined exposure to noise and microwave on hippocampal structure and function in mice
Chunxue LU ; Lei SHI ; Yue WANG ; Yanhui HAO ; Xuelong ZHAO ; Yang LI ; Hongyan ZUO ; Liqian ZHU
Journal of Environmental and Occupational Medicine 2026;43(4):419-426
Background Co-exposure to noise and microwave radiation occurs frequently. The central nervous system has been identified as a sensitive target organ for both noise and microwave exposure individually, and the underlying mechanisms remain poorly understood. The specific biological effects resulting from co-exposure to these two factors have yet to be fully elucidated. Objective To clarify the effects of co-exposure to noise and microwave on neurobehavior and hippocampal tissue structure, and to explore the underlying mechanism through the assessment of serum cytokines. Methods C57BL/6N mice were selected and randomly assigned to a blank control group, a noise group, a microwave group, and a combined noise & microwave exposure group. To establish the exposure models, the noise group was subjected to broadband noise at 100 dB for 2 h, while the microwave group received radiation at a central frequency of 9.375 GHz with an average power density of 12 mW·cm−2 and a specific absorption rate of 2.58 W·kg−1 for 15 min. Open field and tail suspension tests assessed anxiety-like emotional behaviour; novel object recognition and Y-maze tests evaluated cognitive function. Histological changes in hippocampal tissue were examined using haematoxylin and eosin (HE) staining, and Nissl staining under light microscopy. Serum cytokine levels were measured using radioimmunoassay and enzyme-linked immunosorbent assay (ELISA). Results After 3 d of exposure, the noise, microwave, and combined exposure groups showed significant reductions in exploration frequency, duration, and distance within the central zone of the open field test compared to the control group (P < 0.01); the combined exposure group exhibited increased ratios of peripheral-to-central exploration time and distance (P < 0.05). After 7 d of exposure, compared with the control group, the noise group maintained a decrease in central zone exploration time (P < 0.01), while the combined exposure group showed persistent decline across all central zone metrics (P < 0.05) and elevated peripheral-to-central ratios (P < 0.05); compared to the microwave group, the combined exposure group showed significant less time in the central zone (P < 0.05) and higher peripheral-to-central ratios (P < 0.05). Regarding behaviour and cognition, compared with the control group, the combined exposure group showed increased immobility time in the tail suspension test after 3 d of exposure (P < 0.01). At this interval, all exposure groups demonstrated reduced frequency and duration of novel object recognition (P < 0.05), with the combined exposure group showing a marked decrease in novel arm exploration time (P < 0.01). After 7 d of exposure, compared with the control group, the noise group showed reduced novel object recognition frequency (P < 0.05), and both the noise and microwave groups exhibited decreased novel arm exploration time (P < 0.05). Pathological alterations including an increased number of hyperchromatic nuclei and depleted Nissl bodies were observed in the CA3 and DG regions across all exposure groups with the most severe lesions observed in the combined exposure group. Serum levels of central nervous system-specific protein β (S-100β), glial fibrillary acidic protein (GFAP), and corticosterone (CORT) were significantly elevated in all exposure groups compared with the control group (P < 0.05). Aquaporin-4 (AQP4) levels increased in the combined exposure group (P < 0.05), while CXC chemokine ligand 10 (CXCL10) levels rose in both the noise and combined groups compared with the control group (P < 0.05). Specifically, S-100β and CXCL10 levels in the combined exposure group were higher than those in the microwave group (P < 0.05); moreover, levels of S-100β, GFAP, CORT, AQP4, and CXCL10 in the combined exposure group were significantly higher than those in the noise group (P < 0.05). Conclusion Combined exposure to noise and microwave radiation induces pathological changes in the hippocampus of mice, increases levels of serum stress hormones and neuro-specific biomarkers. These impairments are more severe than those observed following single-factor exposure. The underlaying mechanism may be related to systemic stress response, neuronal damage, astrocyte activation, and changes in blood-brain barrier permeability, leading to emotional behavioral abnormalities and cognitive decline.
3.Two cases of rare K phenotype caused by the KEL c.715G>T mutation
Jing LI ; Jing ZHANG ; Zhixia CHENG ; Jian DU ; Xiaoling ZHANG
Chinese Journal of Blood Transfusion 2026;39(4):526-533
Objective: To investigate the serological identification and blood group gene sequencing analysis of two rare cases of K
phenotype producing high-frequency antigen antibodies (anti-Ku), and to study the serological interrelationship between K
cells and the high-frequency antigen antibody anti-KL. Methods: Serological methods were used to identify the antigen phenotypes of the ABO, Rh, and Kell blood group systems and to screen for and identify unexpected antibodies in the two patients. The characteristics of the unexpected antibodies were verified by the indirect antiglobulin test (IAT) using papain or dithiothreitol (DTT) -treated screening cells. The titer of anti-Ku was determined via the tube method using DTT-treated plasma. The Kell blood group genotype was determined by gene sequencing. The distinctive antigenicity of K
cells was validated through their reactivity with anti-KL in IAT, and absorption-elution techniques were employed to corroborate the type of anti-KL. Results: Serological findings: Case 1 was blood group O, CCDee; Case 2 was blood group A, CCDee. Both cases exhibited the Kell phenotype: K-k-, Kp (a-b-). High-frequency antigen antibodies were detected in the plasma of both patients. The reactivity of these antibodies was slightly enhanced with papain-treated screening cells but became negative with DTT-treated cells. The anti-Ku (IgG) titer for Case 1 was 64. For Case 2, the anti-Ku (IgM) titer was<1, and the anti-Ku (IgG) titer was 32. Gene sequencing revealed that both cases harbored a homozygous c.715G>T mutation in the KEL gene, corresponding to the genotype KEL02N.24, consistent with the rare K
phenotype. The unique high expression of the Kx antigen on K
cells was confirmed through the antibody characteristics of anti-KL. Absorption-elution techniques demonstrated that K
cells could separate anti-Km and anti-Kx, thereby supporting the classification of anti-KL. Conclusion: Serological and molecular biological assays identified both patients as having the rare Kell-null (K
) phenotype. If such rare blood types go undetected in transfusion medicine, the administration of standard blood products can readily induce the production of high-frequency antigen antibodies such as anti-Ku, potentially leading to a transfusion crisis due to the subsequent difficulty in finding compatible blood. The serological relationship between K
cells and anti-KL clarified the characteristic high expression of the Kx antigen on K
phenotype erythrocytes and concurrently supported the typological features of the rare high-frequency antibody anti-KL. This represents the first such verified report in China.
4.Impact of "Internet +" empowerment education based on timing it right on psychological craving, anxiety symptoms and relapse rates in patients with alcohol dependence
Hao WANG ; Wei LI ; Wen'ge ZHEN ; Yuanyuan LI ; Jie LIU
Sichuan Mental Health 2025;38(1):34-40
BackgroundAlcohol dependence patients are prone to relapse after their attempts to quit drinking, which poses a considerable threat to their physical and mental health and creates a heavy burden on their families. Currently, empowerment education is increasingly being utilized in the rehabilitation management of chronic diseases, but there remains a striking lack of empirical research on the application of "Internet +" empowerment education based on timing it right in alcohol dependence patients. ObjectiveTo explore the impact of "Internet +" empowerment education based on timing it right on patients with alcohol dependence, in order to maximize the reduction in relapse rates, craving for alcohol and severity of anxiety symptoms. MethodsA total of 120 patients who were hospitalized in the Department of Addiction Medicine, Hebei Provincial Mental Health Center from May 2022 to April 2023 and met the diagnostic criteria for alcohol dependence in the International Classification of Diseases, tenth edition (ICD-10) were enrolled, and they were classified into study group (n=62) and control group (n=58) using random number table methods. Both groups received standard medication and routine care. Additionally, study group underwent a 6-month "Internet +" empowerment education based on timing it right. At baseline, all subjects were assessed using Penn Alcohol Craving Scale (PACS) and Self-rating Anxiety Scale (SAS). Three months and six months after intervention, assessments were conducted using PACS, SAS and Michigan Alcoholism Screening Test (MAST). ResultsThe relapse rates after three and six months of intervention were both lower in study group than those in control group, with statistically significant differences (χ2=8.575, 8.828, P<0.01). ANOVA with repeated measures on PACS total score and scores of each item revealed a significant time effect, group effect and time×group interaction effect (F=159.714~837.751, 84.645~393.606, 24.302~137.896, P<0.01). And significant time effect, group effect and time×group interaction effect were also reported on SAS scores (F=166.237, 65.325, 24.724, P<0.01). Conclusion"Internet +" empowerment education based on timing it right may help reduce relapse rates, alcohol cravings and severity of anxiety symptoms among patients with alcohol dependence. [Funded by 2023 Annual Hebei Provincial Medical Scientific Research Project Plan (number, 20231537)]
5.Treatment of Parkinson's Disease with Traditional Chinese Medicine by Regulating BDNF/TrkB Signaling Pathway: A Review
Lulu JIA ; Ying LI ; Jiale YIN ; Nan JIA ; Xiaoxi LIU ; Li LING
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):315-322
Parkinson's disease(PD) is the second most common neurodegenerative disease in the world, which seriously affects the lives of patients. With the acceleration of aging process, the number of patients continues to rise. Its main pathological features are aggregation of α-synuclein and degenerative death of dopaminergic neurons in the substantia nigra. However, the pathogenesis of PD is still unclear. According to reports, the brain-derived neurotrophic factor(BDNF)/tyrosine kinase receptor B(TrkB) signaling pathway is highly expressed and activated in dopaminergic neurons in the substantia nigra, which is closely related to neurophysiological processes such as neurogenesis, synaptic plasticity, neuroinflammation, and oxidative stress. It plays an important role in the occurrence and development of PD. At present, the treatment methods of Western medicine for PD are mainly based on drugs such as levodopa and dopamine agonists to alleviate motor symptoms, but with the increase of dose, the adverse reactions are significantly enhanced. Traditional Chinese medicine(TCM) has attracted people to explore its therapeutic effects on PD due to its characteristics of homology of medicine and food, economy, minor adverse reactions and multi-target action. Therefore, this paper systematically reviews the role of BNDF/TrkB pathway in the pathogenesis of PD and the mechanism of TCM formulas, extracts and monomers in the treatment of PD by regulating the BNDF/TrkB pathway according to retrieving the latest research reports at home and abroad, so as to provide a reference for the clinical application of related TCM and the development of new drugs for PD.
6.A novel carbonyl reductase for the synthesis of (R)-tolvaptan.
Yahui LIU ; Xuming WANG ; Shuo MA ; Keyu LIU ; Wei LI ; Lulu ZHANG ; Jie DU ; Honglei ZHANG
Chinese Journal of Biotechnology 2025;41(1):321-332
Screening carbonyl reductases with the ability to catalyze the reduction of complex carbonyl compounds is of great significance for the biosynthesis of R-tolvaptan(R-TVP). In this study, the target carbonyl reductase in the crude enzyme extract of rabbit liver was separated, purified, and identified by ammonium sulfate precipitation, gel-filtration chromatography, ion exchange chromatography, affinity chromatography, and protein mass spectrometry. With the rabbit liver genome as the template, the gene encoding the carbonyl reductase rlsr5 was amplified by PCR and the recombinant strain was successfully constructed. After RLSR5 was purified by affinity chromatography, its enzymatic properties were characterized. The results indicated that the gene sequence of rlsr5 was 972 bp, encoding a protein with a molecular weight of 40 kDa. RLSR5 was a dimeric protein, and each monomer was composed of a (α/β)8-barrel structure. RLSR5 could asymmetrically reduce 7-chloro-1-[2-methyl-4-[(2- methylbenzoyl)amino]benzoyl]-5-oxo-2,3,4,5-tetrahydro-1H-1-benzazepine (prochiral ketone, PK) to synthesize R-TVP. The specific activity of the enzyme was 36.64 U/mg, and the optical purity of the product was 99%. This enzyme showcased the optimal performance at pH 6.0 and 30 °C. It was independent of metal ions, with the activity enhanced by Mn2+. This study lays a foundation for the biosynthesis of tolvaptan of optical grade.
Animals
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Rabbits
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Alcohol Oxidoreductases/biosynthesis*
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Recombinant Proteins/metabolism*
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Escherichia coli/metabolism*
;
Liver/enzymology*
7.Computational Modeling of the Prefrontal-Cingulate Cortex to Investigate the Role of Coupling Relationships for Balancing Emotion and Cognition.
Jinzhao WEI ; Licong LI ; Jiayi ZHANG ; Erdong SHI ; Jianli YANG ; Xiuling LIU
Neuroscience Bulletin 2025;41(1):33-45
Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions, contributing to the development of mental disorders such as depression. Despite this understanding, the neural circuit mechanisms underlying this phenomenon remain elusive. In this study, we present a biophysical computational model encompassing three crucial regions, including the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and ventromedial prefrontal cortex. The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes. The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks. Furthermore, our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex, and network functionality was restored through intervention in the dorsolateral prefrontal cortex. This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
Prefrontal Cortex/physiology*
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Humans
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Emotions/physiology*
;
Cognition/physiology*
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Gyrus Cinguli/physiology*
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Computer Simulation
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Models, Neurological
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Neural Pathways/physiology*
;
Nerve Net/physiology*
8.Preliminary Efficacy of Growth Hormone Therapy in Children With Congenital HeartDisease and Short Stature: A Six-case Report and Literature Review
Xi YANG ; Siyu LIANG ; Qianqian LI ; Hanze DU ; Shuaihua SONG ; Yue JIANG ; Huijuan MA ; Shi CHEN ; Hui PAN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):641-646
Congenital heart disease (CHD) is a congenital malformation resulting from abnormal embryonic development of the heart and great vessels, accounting for approximately 25% of all congenital malformations. Children with CHD are often complicated by short stature. Although surgical treatment can improve their growth and development to a certain extent, some children still experience growth retardation after surgery. Recombinant human growth hormone (rhGH) is the main drug for treating short stature, but its efficacy and safety in the treatment of patients with concomitant CHD warrant further investigation. This article reports six cases of children with CHD and short stature who were treated with rhGH. Through a literature review, we summarize and discuss the therapeutic efficacy, follow-up experiences, and adverse reactions of rhGH treatment, aiming to provide references for clinicians in applying rhGH to treat patients with CHD and short stature.
9.XK gene deletion leading to McLeod syndrome and high-frequency antigen antibodies: identification and transfusion strategy
Jing LI ; Kewen YAO ; Yun DU ; Haiyan HU ; Hongli ZHANG
Chinese Journal of Blood Transfusion 2025;38(8):1107-1112
Objective: To investigate the hematological characteristics of the rare McLeod phenotype associated with X-linked chronic granulomatous disease, KEL and XK gene analysis, identification of unexpected antibodies, serological characteristics of high-frequency antigen antibodies, and transfusion strategies. Methods: Serological methods were employed to determine the ABO, Rh, and other blood group system antigen phenotypes of the child, along with screening and identification of unexpected antibodies. The titers of high-frequency antigen antibodies were measured using tube antihuman globulin and microcolumn gel card techniques. Kell blood group typing was performed using serological and genotyping methods, while XK gene sequencing was conducted via next-generation sequencing. Peripheral blood smears from the child's mother were examined for erythrocyte morphology. Results: The child's serological results were as follows: blood group O, ccDEE, MM, Le(a-b+), JK(a+b+), Fy(a+b-), and Kell phenotype K-k+, Kp(a-b+). Plasma analysis revealed alloantibodies anti-C、e, as well as a high-frequency antigen antibody anti-KL, with titers of 512 (tube method) and 2 048 (microcolumn gel method). Genotyping results showed KEL genotype K-k+, Kp(a-b+), Js(a-b+), while XK gene NGS identified a hemizygous deletion of exons 1-3 (XK
N. 01), consistent with XK: -1 or Kx-(McLeod). The mother's peripheral blood smear exhibited prominent acanthocytes. Conclusion: The hematological features of this rare McLeod phenotype with X-CGD include weakened Kell antigen expression and a complete exon deletion in the XK gene. Early clinical attention should be given to the symptoms and laboratory diagnosis of X-linked chronic granulomatous disease in pediatric patients. XK genotyping for McLeod phenotype should be prioritized to guide cautious transfusion strategies, preventing life-threatening complications due to incompatible blood products.
10.Optimization of salt-processing technology for Anemarrhena asphodeloides by Box-Behnken response surface methodology versus GA-BP neural network
Luoxing PAN ; Yiman ZHAO ; Hui YUAN ; Zehua LI ; Dongsheng XUE ; Qing ZHAO
China Pharmacy 2025;36(19):2399-2403
OBJECTIVE To optimize the salt-processing technology for Anemarrhena asphodeloides. METHODS Taking soaking time, stir-frying temperature, and stir-frying time as factors, Box-Behnken response surface methodology was employed to optimize the salt-processing technology of A. asphodeloides using the contents of mangiferin, neomangiferin, isomangiferin, timosaponin BⅡ, timosaponin AⅢ, timosaponin BⅢ, total flavonoids, and total saponins as evaluation indicators. The entropy weight method was applied to determine the weight of each indicator and calculate the comprehensive score. Based on the 17 sets of Box-Behnken response surface methodology results, a genetic algorithm (GA)-back propagation (BP) neural network was used to further optimize the salt-processing technology, with soaking time, stir-frying temperature, and stir-frying time as input layers and the comprehensive score as the output layer. The salt-processing parameters obtained from the two methods were validated and compared to determine the optimal salt-processing technology for A. asphodeloides. RESULTS The optimal salt-processing conditions obtained via the Box-Behnken response surface methodology were as follows: soaking time of 23 min, stir-frying temperature of 160 ℃ , and stir-frying time of 12 min, yielding a comprehensive score of 63.370 2. The GA-BP neural network optimization resulted in the following conditions: soaking time of 24 min, stir-frying temperature of 163 ℃, and stir-frying time of 12 min, with a comprehensive score of 65.163 8. The GA-BP neural network optimization outperformed the results obtained by Box-Behnken response surface methodology. CONCLUSIONS This study successfully optimized the salt-processing technology for A. asphodeloides. Specifically, the technology involves adding 15 mL of 0.1 g/mL saline solution to 50 g of the herbal slices, allowing them to moisten for 24 minutes, and then stir-frying at 163 ℃ for 12 minutes.

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