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 of oral non-peptidic thrombopoietin receptor agonists on hepatic enzyme in adult patients with immune thrombocytopenia:a meta-analysis
Tiantian LU ; Nan SHEN ; Suyue ZHU ; Jingjing YAN
China Pharmacy 2026;37(4):510-515
OBJECTIVE To systematically evaluate the effects of oral non-peptidic thrombopoietin receptor agonists (TPO-RAs) on hepatic enzyme in adult patients with immune thrombocytopenia. METHODS A comprehensive literature search was conducted in PubMed, Web of Science, CNKI, Wanfang database and the Chinese Medical Association Journal Full-Text Database to collect randomized controlled trials (RCTs) comparing oral non-peptidic TPO-RAs (intervention group) with placebo or conventional therapy (control group). All databases were searched from their inception to June 2025. After literature screening, data extraction and quality assessment of the included studies, meta-analysis was conducted using RevMan 5.4.1 software. RESULTS Twelve RCTs comprising 1 388 patients were included, with 971 in the intervention group and 417 in the control group. Meta-analysis results showed that there were no significant differences between the two groups in terms of the incidence of hepatic enzyme elevation[OR=1.24, 95%CI (0.77, 1.99), P =0.37 ] , the incidence of hepatic enzyme elevation in patients treated for ≥6 weeks[OR=1.21, 95%CI (0.73, 1.99), P =0.46 ] , and the incidence of severe hepatic enzyme elevation[OR=1.39, 95%CI(0.46, 4.20), P =0.55 ] . Subgroup analysis showed that there were no significant differences in the incidence of hepatic enzyme elevation between the intervention group and control group among patients using eltrombopag[OR=1.57,95%CI(0.85,2.87), P =0.15 ] , avatrombopag[OR=0.88,95%CI (0.09,8.46), P =0.91 ] , and hetrombopag[OR=1.04,95%CI(0.30,3.65), P =0.95 ] , respectively. CONCLUSIONS Oral non-peptidic TPO-RAs do not significantly increase the risk of hepatic enzyme elevation in adult patients with immune thrombocytopenia, and show an overall favorable hepatic safety profile.
3.Application advances, ethical dilemmas, and future directions of large language models in lung cancer diagnosis and treatment
Zhizhen REN ; Yufan XI ; Xu ZHU ; Yijie LUO ; Geting HUANG ; Junqiao SONG ; Xiuyuan XU ; Nan CHEN ; Qiang PU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(03):353-362
Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.
4.Effect and Mechanism of Liangyi Paste on Hepatic Lipid Deposition in Naturally Aged Mice with High-fat Diet via Cuproptosis/Oxidative Stress Pathway
Meiling ZHANG ; Yuanguang DONG ; Xiaofei SUN ; Jiaxin WANG ; Yu LIU ; Jingxuan ZHU ; Qun WANG ; Nan SONG ; Guoyuan SUI ; Lianqun JIA
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):91-99
ObjectiveTaking the cuproptosis/oxidative stress pathway as the entry point, this study investigated the effect and mechanism of Liangyi Paste on hepatic lipid deposition in naturally aged mice fed with a high-fat diet. MethodsAfter adaptive feeding, 80 ten-week-old male C57BL/6 mice were used. Thirty of them were randomly divided into three groups (10 mice per group): The 12-month-old control group (12MCON), the 15-month-old control group (15MCON), and the 15-month-old group with a high-fat diet (15MHFD). The 12MCON and 15MCON groups were continuously fed a standard diet, while the 15MHFD group started receiving a high-fat diet at 12 months of age. Tissue samples were collected at the corresponding time points for each group. The remaining 50 mice were randomly divided into five groups (10 mice per group): the 20-month-old control group (20MCON), the model group, and the low-, medium-, and high-dose Liangyi Paste groups (2.91 , 5.82 , 11.64 g·kg-1·d-1, respectively). The 20MCON group was continuously fed a standard diet, while the other groups started receiving a high-fat diet at 15 months of age. At 18 months of age, the Liangyi Paste groups were administered the corresponding doses of Liangyi Paste by gavage, while the 20MCON and model groups were given an equal volume of saline by gavage. After 8 weeks of continuous gavage (when the mice reached 20 months of age), tissue samples were collected. Hepatic TG levels were measured using assay kits; liver histology and lipid deposition were observed via hematoxylin-eosin (HE) and oil red O staining; reactive oxygen species (ROS) were detected by enzyme-linked immunosorbent assay (ELISA); Cu2+, superoxide dismutase (SOD), and malondialdehyde (MDA) levels were measured by colorimetry; mRNA and protein expression of genes related to cuproptosis and oxidative stress pathways were analyzed by Real-time polymerase chain reaction(Real-time PCR) and Wes automated protein expression system. ResultsCompared with 12MCON, the 15MCON group showed significantly increased hepatic TG, Cu2+, ROS, and MDA levels (P<0.01), decreased SOD (P<0.01), hepatocyte swelling, and disordered arrangement. The mRNA and protein levels of ferredoxin 1 (FDX1), dihydrolipoamide S-acetyltransferase (DLAT), heat shock protein 70 (HSP70), dihydrolipoamide dehydrogenase (DLD), pyruvate dehydrogenase E1 subunit-β (PDHB), nuclear factor erythroid 2-related factor 2 (Nrf2), and peroxisome proliferator-activated receptor γ (PPARγ) were significantly elevated (P<0.05, P<0.01). Compared with 15MCON group, the 15MHFD and 20MCON groups exhibited further increases in TG, Cu2+, ROS, and MDA (P<0.01), reduced SOD (P<0.01), and aggravated hepatocyte swelling and disorder. There were increased lipid droplets with mild vacuolization in the 15MHFD group, and no significant lipid deposition was observed in the 20MCON group. FDX1, DLAT, HSP70, DLD, PDHB, Nrf2, and PPARγ mRNA and protein levels were significantly increased (P<0.05, P<0.01). Compared with 20MCON group, the model group demonstrated markedly elevated TG, Cu2+, ROS, and MDA (P<0.01), reduced SOD (P<0.01), severe hepatic steatosis, and upregulated expression of FDX1, DLAT, HSP70, DLD, PDHB, Nrf2, and PPARγ mRNA and proteins (P<0.05, P<0.01). All abnormalities were significantly reversed after Liangyi Paste treatment. ConclusionLiangyi paste can ameliorate hepatic lipid deposition in naturally aged mice with a high-fat diet by modulating the cuproptosis/oxidative stress pathway.
5.Targeting GYS1: From Metabolic Regulatory Mechanisms to Precision Therapeutic Strategies
Jia-Nan ZHAO ; Yu-Xuan LI ; Jie ZHU ; Hong LI ; Xiao-Feng JIN
Progress in Biochemistry and Biophysics 2026;53(7):1807-1825
Glycogen synthase 1 (GYS1) is the rate-limiting enzyme responsible for glycogen synthesis in skeletal muscle, heart, brain, and other extrahepatic tissues, playing a central role in systemic energy homeostasis. The human GYS1 gene maps to chromosome 19q13.33, comprises 16 exons, and encodes a 737-amino-acid polypeptide that is highly conserved across mammals. GYS1 activity is subject to multilayered and precisely coordinated regulation. At the transcriptional level, the GYS1 promoter contains a hypoxia response element (HRE) that mediates HIF-1α-dependent induction under low-oxygen conditions, as well as a muscle-specific enhancer harboring MEF2 and MyoD binding sites that confers tissue-restricted expression. At the post-translational level, a hierarchical phosphorylation cascade serves as the primary activity switch: glycogen synthase kinase 3β (GSK3β) sequentially phosphorylates four C-terminal serine residues following casein kinase II priming, while protein kinase A (PKA) and AMP-activated protein kinase (AMPK) provide parallel inhibitory inputs at both N- and C-terminal sites. Dephosphorylation and reactivation are mediated by protein phosphatase 1 (PP1) through tissue-specific glycogen-targeting regulatory subunits such as PPP1R3A and PPP1R3B, which anchor PP1 to glycogen particles and direct its activity toward GYS1. The allosteric activator glucose-6-phosphate (G6P) binds at the dimer interface, simultaneously enhancing catalytic efficiency and promoting dephosphorylation susceptibility, thereby establishing a feed-forward activation loop that couples substrate availability to glycogen synthesis. Beyond phosphorylation, GYS1 is regulated by ubiquitination (mediated by the E3 ligase PJA1), acetylation, O-linked β-N-acetylglucosamine (O-GlcNAc) modification, and SUMOylation, which collectively modulate protein stability, subcellular localization, and protein-protein interactions. Epigenetic mechanisms, including CpG island methylation and histone acetylation dynamics, govern chromatin accessibility at the GYS1 locus, while muscle-specific microRNAs such as miR-1 and miR-206 fine-tune GYS1 expression at the post-transcriptional level. Dysregulation of GYS1 has been identified as a central pathogenic driver in a spectrum of human diseases. In inherited glycogen storage disorders—including Lafora disease, adult polyglucosan body disease (APBD), and Pompe disease—loss of upstream regulatory control leads to GYS1 hyperactivation and the accumulation of structurally abnormal or excessive glycogen, resulting in progressive neurodegeneration, myopathy, and multiorgan dysfunction. In type 2 diabetes mellitus (T2DM), impaired insulin signaling through the PI3K-AKT-GSK3β axis maintains GYS1 in a hyperphosphorylated inactive state in skeletal muscle, compromising postprandial glucose disposal and exacerbating hyperglycemia. In oncology, GYS1 exhibits context-dependent roles across multiple cancer types. In hepatocellular carcinoma, FMO2+ cancer-associated fibroblasts stabilize GYS1 by competitively inhibiting PJA1-mediated ubiquitination, and stabilized GYS1 subsequently activates NF‑κB/CCL19 signaling to promote tertiary lymphoid structure formation and enhance anti-PD-1 immunotherapy responsiveness. In clear cell renal cell carcinoma, GYS1 promotes tumor progression through non-canonical NF‑κB pathway activation via the scaffold protein RPS27A. In triple-negative breast cancer, GYS1 has been identified as a trigger of disulfidptosis and an activator of NF-κB signaling through non-enzymatic facilitation of IκBα degradation. In colorectal cancer, mitochondrial fission deficiency drives AMPK-dependent GYS1 upregulation and glycogen accumulation as a compensatory survival mechanism, while in cervical cancer, GYS1-maintained glycogen reserves fuel the pentose phosphate pathway to generate NADPH for ROS clearance, thereby conferring cisplatin resistance in cancer stem cells. Therapeutic strategies targeting GYS1 have gained substantial momentum across these disease contexts. For glycogen storage disorders, antisense oligonucleotides, small interfering RNAs (e.g., ABX1100), and small-molecule inhibitors (e.g., MZ-101) have demonstrated preclinical and early clinical efficacy in reducing pathological glycogen accumulation. For T2DM, pharmacological activation of GYS1 through GSK3β inhibition or enhancement of PP1-mediated dephosphorylation is being explored to restore insulin-stimulated glycogen synthesis. In cancer, GYS1-directed interventions—including targeted silencing to sensitize tumors to chemotherapy and immune microenvironment modulation to enhance immunotherapy—represent emerging precision oncology approaches. This review provides a comprehensive and integrated account of GYS1 gene structure, tissue-specific distribution, regulatory networks, and pathogenic roles in metabolic disorders and malignancies, with the aim of establishing a theoretical framework for the development of GYS1-targeted precision therapies.
6.Fluorescence Suppression Method of Raman Spectroscopy and Its Application in Skin and Cosmetics Analysis
Yun-Xia CHEN ; Jia-Rong WANG ; Jian-Yu ZHU ; Shi-Wen LIN ; Ya-Nan LIU ; Xiao-Yue MA ; Guang-Cheng XI ; Juan LIU
Progress in Biochemistry and Biophysics 2026;53(7):1914-1926
Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 106 to 108 times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.
7.Modified Ditan Tang Regulates Biorhythm-related Genes in Rat Model of Non-alcoholic Fatty Liver Disease
Zhiwen PANG ; Yu LIU ; Nan SONG ; Jie WANG ; Jingxuan ZHU ; Zhen HUA ; Yupeng PEI ; Qun WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(6):115-124
ObjectiveTo investigate the effects of modified Ditan tang on genes related to the transcription-translation feedback loop (TTFL) of biorhythm in the rat model of non-alcoholic fatty liver disease (NAFLD) and its mechanism for prevention and treatment of NAFLD. MethodsSixty-five healthy SPF male SD rats were randomly assigned into blank (n=20), model (n=15), and low-, medium-, and high-dose (2.68, 5.36, and 10.72 g·kg-1·d-1, respectively) modified Ditan tang (n=10) groups. Other groups except the blank group were fed a high-fat diet for 12 weeks. The modified Ditan tang groups were treated with the decoction at corresponding doses by gavage, and the blank and model groups were treated with an equal volume of normal saline from the 9th week for 4 weeks. The levels of triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) in the serum were measured by an automatic biochemical analyzer. TG and non-esterified fatty acid (NEFA) assay kits were used to measure the levels of TG and NEFA in the liver. The pathological changes in the hypothalamus and liver were observed by hematoxylin-eosin staining, and the lipid deposition in the liver was observed by oil red O staining. The levels of brain-muscle ARNT-like protein 1 (BMAL1/ARNTL) in the hypothalamus and liver were determined by immunohistochemical staining. The mRNA and protein levels of BMAL1, circadian locomotor output cycles kaput (CLOCK), period circadian clock 2 (PER2), and cryptochrome1 (Cry1) in the hypothalamus and liver were determined by Real-time PCR and Western blot, respectively. ResultsCompared with the blank group, the model group showed elevated levels of TG, TC, LDL-C, AST, and ALT (P<0.01) and a lowered level of HDL-C (P<0.05) in the serum, elevated levels of TG and NEFA in the liver (P<0.01), pyknosis and deep staining of hypothalamic neuron cells, and a large number of vacuoles in the brain area. In addition, the model group showed lipid deposition in the liver, up-regulated mRNA and protein levels of CLOCK and BMAL1 (P<0.01), and down-regulated mRNA and protein levels of Cry1 and PER2 (P<0.01) in the hypothalamus and liver. Compared with the model group, all the three modified Ditan tang groups showed lowered levels of TG, TC, LDL-C, ALT, and AST (P<0.05, P<0.01) and an elevated level of HDL-C (P<0.05) in the serum, and lowered levels of TG and NEFA (P<0.05, P<0.01) in the liver. Furthermore, the three groups showed alleviated pyknosis and deep staining of hypothalamic neuron cells, reduced lipid deposition in the liver, down-regulated mRNA and protein levels of CLOCK and BMAL1 (P<0.05, P<0.01), and up-regulated mRNA and protein levels of Cry1 and PER2 (P<0.05, P<0.01) in the hypothalamus and liver. ConclusionModified Ditan tang can reduce lipid deposition in the liver and regulate the expression of CLOCK, BMAL1, Cry1, and PER2 in the TTFL of NAFLD rats.
8.Relationship between gut microbiota and onset of depression in chronic unpredictable mild stress model rats of both sexes
Kanghong ZHU ; Yumeng GAO ; Mengxue HUANG ; Liu YANG ; Zizhan GAO ; Hao CHU ; Nan DENG ; Ling HU ; Zijian WU
Acta Laboratorium Animalis Scientia Sinica 2025;33(8):1144-1152
Objective To observe the differences in gut microbiota in chronic unpredictable mild stress(CUMS)-induced depression model rats of both sexes,and to provide experimental evidence for exploring sex differences in depression onset.Methods Thirty-two healthy SD rats were divided randomly into four groups based on sex:Male control group(Control-M),Female control group(Control-F),Male model group(Model-M),and Female model group(Model-F)(n=8 rats per group).Rats in the control groups were fed without stimulation,while rats in the model groups were stimulated using the 28 d CUMS-induced depression method.After successful modeling,fresh feces were collected from all rats for high-throughput 16S rRNA sequencing.Behavioral observations were also conducted before and after preparing the model.Results The result of sucrose-preference,open-field,and forced-swimming tests differed significantly between the control and model groups.The result of the sucrose-preference test also differed between the sexes,while there was no difference in the open-field or forced-swimming test between the sexes.The α and β diversity of the gut microbiota genera showed an upward trend in the CUMS group compared with the control group.The ratio of Firmicutes/Bacteroidetes and the richness of the Roseburia and Lachnospiraceae_NK4A136_group were decreased in male rats but showed an increasing trend in female rats.Conclusions The ratio of Firmicutes/Bacteroidetes in the gut microbiota may be a key factor affecting the difference in the onset of depression between males and females,while the Roseburia and Lachnospiraceae_NK4A136_group be potential factors in correcting the gut microbiota and improving the symptoms of depression.
9.T2 mapping for quantitatively evaluating changes of junctional zone and outer myometrium caused by endometrial fibrosis
Yucan CHEN ; Huanhuan LIANG ; Nan ZHOU ; Hui ZHU ; Peipei JIANG ; Qing HU ; Yongjing FENG ; Yali HU ; Zhengyang ZHOU
Chinese Journal of Medical Imaging Technology 2025;41(7):1121-1124
Objective To observe the value of T2 mapping for quantitatively evaluating the changes of junctional zone and outer myometrium caused by endometrial fibrosis.Methods A total of 73 infertility patients with endometrial fibrosis confirmed by hysteroscopy(disease group)and 33 healthy women of childbearing age(control group)were prospectively enrolled,and MR examinations were performed at the late proliferative phase of endometrium.The thickness and T2 value of junctional zone,T2 value of outer myometrium on anterior,posterior and fundus wall of midsagittal corpus uteri were measured,and the mean value of the above measurements on the three walls were calculated.Receiver operating characteristic curves were constructed,the areas under the curves(AUC)were calculated to explore the efficacy of those with significant difference among the mean thickness and the mean T2 value of junctional zone,the mean T2 value of outer myometrium and their combination for evaluating endometrial fibrosis.Results The thickness and T2 value of anterior wall,posterior wall,fundus wall and the mean junctional zone in disease group were all significantly higher than those in control group(all P<0.001).No significant difference of T2 value of anterior wall,posterior wall,fundus wall nor the mean outer myometrium was found between groups(all P>0.05).The mean thickness and the mean T2 value of junctional zone and their combination could be used to effectively evaluate endometrial fibrosis,with AUC of 0.839,0.822 and 0.922,respectively,and their combination had the best performance(both P<0.01).Conclusion T2 mapping could be used to quantitatively evaluate the injury of junctional zone caused by endometrial fibrosis.
10.A case report of chronic kidney disease-associated pruritus treated by nalfurafine hydrochloride
Nan ZHU ; Xin WANG ; Lili YANG ; Fangxing ZHANG ; Pei WANG
Chinese Journal of Nephrology 2025;41(3):205-208
Pruritus is one of the common comorbidities in patients with chronic kidney disease, significantly reducing life quality and increasing the risks of depression and mortality. This report presents the treatment process of a patient undergoing maintenance hemodialysis with pruritus. The patient successively received an optimized dialysis prescription, management of chronic kidney disease-related mineral and bone disorder, correction of secondary hyperparathyroidism, enhanced skin care, and administration of gabapentin. However, pruritus symptoms of this patient persisted. Subsequently, the patient was treated with nalfurafine hydrochloride, resulting in significant relief of pruritus symptoms without any adverse reaction. This case provides new insights and references for the treatment of chronic kidney disease-associated pruritus.

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