1.Analysis of the current situation and influencing factors of platelet supply in medical institutions
Xuan WU ; Ting ZHANG ; Xiaozhen GUAN ; Yang YU
Chinese Journal of Blood Transfusion 2026;39(3):339-345
Objective: To systematically analyze the current status and influencing factors of platelet supply in medical institutions across China, and to explore the problems and future development directions of the existing supply models. Methods: From February 25 to March 5, 2025, a web-based questionnaire survey was performed. A self-designed questionnaire was distributed to staff in the blood transfusion departments of medical institutions nationwide in China. Data on the current status and influencing factors of platelet supply were collected and analyzed. Results: A total of 2 268 responses were collected in this survey, with 1 366 valid questionnaires finally included, covering 33 provinces, autonomous regions, and municipalities directly under the central government across China. The survey revealed that platelet supply in Chinese medical institutions exhibited a pattern of "sufficient in the eastern region, stable in the central region, and scarce in the western region": adequate in East China; generally favorable in South China except Guangxi; centered on Beijing and Tianjin in North China; basically met but with insufficient reserves in Central China; subject to seasonal fluctuations in Northeast China; only meeting the baseline supply in Yunnan, Guizhou, and Sichuan in Southwest China; and notably short in Qinghai, Ningxia, and Xinjiang in Northwest China. Family donor mobilization was required in 81.2% (1 109/1 366) of institutions, whereas this proportion was only 12.7% (173/1 366) among institutions with sufficient supply. Tertiary hospitals constituted the main users, among which tertiary Class A hospitals had the highest sufficiency rate, and secondary Class B hospitals showed the most pronounced shortage. A total of 84% (1 147/1 366) of institutions lacked a professional management team; only 19% (266/1 366) had an inventory warning system, of which 88% (234/266) considered it effective. Platelet reservation required 3 days in 33% (458/1 366) of institutions. The mandatory transfusion rate was 30.55% (29/118) when the reservation lead time exceeded 3 days, representing an increase of 5.98% compared with 24.57% (55/180) in the same-day reservation group. For optimization, most institutions called for improved blood donation services, strengthened education and incentives, establishment of regional coordination and policy collaboration, and supplementary suggestions focused on technologies for extending platelet shelf life. Conclusion: Regional imbalance in platelet supply across China is prominent, with supply shortages in some provinces, reliance on family donor mobilization in most institutions, weak grassroots support capacity, imperfect management systems, and supply timeliness constraining clinical practice. Systematic improvements are needed in optimizing blood donation services, strengthening regional coordination, improving relevant policies, and developing platelet preservation technologies, so as to enhance the level of supply security and patient safety.
2.A prediction model for mild cognitive impairment risk among the elderly
MA Zongkang ; LIU Xinglang ; LI Huihui ; HE Guowei ; YAN Ping ; ZHANG Chuanrong ; MA Xuan ; CHE Yajie ; YU Shan ; CHEN Fenghui
Journal of Preventive Medicine 2026;38(2):124-129
Objective:
To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening.
Methods :
From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).
Results:
A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764.
Conclusion
The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.
3.Clinical Observation on Huatan Quyu Formula Improving Cerebral Small Vessel Disease with Phlegm and Blood Stasis Blocking Collateral Pattern via Regulating Glymphatic System Circulation
Xiaofeng HUANG ; Ting YU ; Xuan ZHANG ; Daichao MA ; Yongmei YAN ; Hui ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(13):205-211
ObjectiveTo observe the clinical efficacy and safety of Huatan Quyu formula in treating cerebral small vessel disease (CSVD) with phlegm and blood stasis blocking collateral pattern via randomized controlled trial, and explore its mechanism of improving CSVD by regulating glymphatic system (GS) circulation. MethodsSixty-eight CSVD patients with phlegm and blood stasis blocking collateral pattern in the Department of Encephalopathy, Affiliated Hospital of Shaanxi University of Chinese Medicine from April to December 2024 were selected and randomly divided into an experimental group (34 cases) and a control group, with 34 cases in each group. Both groups received basic Western medicine treatment, while the experimental group additionally received Huatan Quyu formula. After a course of 12 weeks, the following parameters were compared between the two groups before and after treatment. Clinical outcomes were assessed using the Tinetti performance-oriented mobility assessment (POMA), Montreal Cognitive Assessment (MoCA), Scales for Outcomes in Parkinson's Disease-Autonomic (SCOPA-AUT), and traditional Chinese medicine (TCM) syndrome scores of phlegm and blood stasis blocking collateral pattern. Perivascular space (PVS) in the frontal lobe/basal ganglia and cerebrospinal fluid (CSF) flow parameters in the cerebral aqueduct were evaluated by 3.0T brain MRI, cerebrospinal fluid flow imaging, and phase-contrast magnetic resonance imaging (PC-MRI). Then, safety indicators were monitored, and SPSS 25.0 was used for statistical analysis. ResultsSixty-four patients completed the study (32 in each group). ①Baseline data: No statistically significant difference was found between the two group. ②Efficacy indicators: After treatment, the experimental group exhibited significantly improved total POMA, SCOPA-AUT, and TCM syndrome scores (P<0.01), outperforming the control group (P<0.05). No significant change was observed in MoCA scores between the two groups. ③Imaging indicators: The experimental group showed a reduced PVS area alongside significantly increased CSF flow parameters (including downward flow during the systolic period, and upward flow during the diastolic period) (P<0.01), which were superior to the control group (P<0.01). ④Safety: The laboratory indicators were normal in both groups, with no drug-related adverse reactions. ConclusionFor CSVD patients with phlegm and blood stasis blocking collateral pattern, Huatan Quyu formula can safely and effectively improve motor function, autonomic nerve function, and TCM syndromes, with potential mechanisms related to pulsatile CSF flow enhancement and GS circulation efficiency improvement.
4.A survey on the rationality of clinical platelet utilization, transfusion efficacy, and adverse reaction management
Xuan WU ; Ting ZHANG ; Xiaozhen GUAN ; Yang YU
Chinese Journal of Blood Transfusion 2026;39(7):895-902
Objective: To systematically investigate the current status of platelet clinical application in Chinese medical institutions based on a nationwide large-sample survey, to analyze the key issues in rational utilization and transfusion efficacy management, and to provide empirical evidence for the construction of a standardized and refined platelet management system. Methods: A selfdesigned online questionnaires was distributed to transfusion department personnel across China to collect and analyze the current clinical application status of platelets. Results: A total of 2 268 questionnaires were collected in this survey, among which 1 375 valid responses were obtained from medical institutions across 33 provinces, autonomous regions, and municipalities directly under the Central Government (including Hong Kong, Macao and Taiwan). The survey revealed an uneven distribution of clinical platelet consumption; 67.05% of facilities used fewer than 500 platelet u-nits annually, and highvolume demand concentrated in a small number of largescale hospitals. Platelet consumption showed a weak correlation with hospital grade and hospital bed number. The disease spectrum for platelet transfusion was highly concentrated. Hematological diseases constituted the leading indication (reported by 1 022 institutions), followed by traumarelated surgeries and solid tumors. In terms of management practice, 70.3% of participating institutions routinely performed posttransfusion efficacy evaluation. Nevertheless, this practice was limited by inadequate evaluation depth (only 58.3% kept detailed records) and institutional deficiency (12.9% had no relevant evaluation systems), mainly due to insufficient awareness and lack of unified criteria. Although 70.0% of hospitals had established adversereaction management workflows and 91.8% achieved highcoverage adverseevent reporting, prominent drawbacks remained, including nonstandardized implementation (standard practice was adopted merely in 41.9% of centers), unsystematic outcome analysis (regular analysis performed in only 26.4% of institutions), and broken feedback loops (56.3% failed to send feedback to blood collection and supply institutions). More than 90% of hospitals selfrated their rational plateletuse rate above 75%. The primary contributors to inappropriate platelet transfusion included biased assessment of clinical indications and excessive prophylactic transfusion triggered by timerelated imbalance between blood supply and clinical demand. Platelet supply status had no statistically significant correlation with routine posttransfusion assessment and selfevaluated rational use levels. Furthermore, plateletrelated management was confronted with a paradox coexisting of supply shortage and bloodproduct waste. While platelet preparation quality was generally reliable, expiration was the top cause of platelet discard (24.80%). Insufficient and untimely supply (79.3%) and short shelflife (46.0%) were recognized as core systematic challenges. Conclusion: China's current platelet management system features extensive institutional coverage paired with insufficient closedloop effectiveness. First, platelet consumption is highly concentrated, yet supply shortage and expiredproduct discard coexist, reflecting insufficient capacity for dynamic inventory allocation and wholeprocess administration. Second, clinicians generally hold positive selfevaluations for rational platelet application, whereas their clinical decisions are substantially constrained by conflicts between supply and demand, bringing about situational compromises under resource limitations. Third, despite established frameworks for efficacy evaluation and adverseevent management, widespread problems such as irregular documentation, unsystematic data analysis and interrupted crosshospital feedback hinder the transition from formal rules to practical management benefits. Comprehensive strategies should be adopted for future improvement. Clinically, standardized training on transfusion indications and unified criteria for posttransfusion assessment should be popularized. Administratively, intelligent inventory systems ought to be constructed to balance supplydemand matching, and closedloop management covering adverseevent analysis and feedback to bloodsupply agencies should be enforced. At the systematic level, advances in technologies for prolonged platelet storage are urgently required to build a resilient and highefficiency plateletguarantee system.
5.Signaling Pathways Related to Polycystic Ovary Syndrome and Regulation by Traditional Chinese Medicine: A Review
Manman YAO ; Liya MA ; Dawei ZHANG ; Xuelin ZHANG ; Xuan ZHOU ; Yu TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(3):301-312
Polycystic ovary syndrome (PCOS) is one of the most prevalent gynecological diseases, and its incidence is increasing year by year, seriously affecting the physical and mental health of female patients. The pathogenesis of this disease is complex and has not been fully clarified. At present, PCOS is mainly treated by Western medicine, which, however, has poor efficacy and induces various adverse reactions. Therefore, developing safe and effective therapies has become a difficult problem that needs to be solved. Studies have confirmed that traditional Chinese medicine (TCM) can regulate phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt), mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK), Toll-like receptor 4/nuclear factor-κB (TLR4/NF-κB), transforming growth factor-β (TGF-β)/Smads, secreted glycoprotein/β-catenin (Wnt/β-catenin), adenosine monophosphate-activated protein kinase (AMPK), and advanced glycation endproduct/receptor for advanced glycation endproducts (AGE/RAGE) signaling pathways to ameliorate insulin resistance, inhibit inflammation and oxidative stress, regulate endocrine hormone disorders, and intervene in apoptosis and autophagy, thus alleviating the symptoms, slowing down the disease progression, and improving the ovarian function. The treatment of PCOS with TCM has demonstrated definite effects and high safety. Therefore, exploring this disease from cellular and molecular perspectives can provide a theoretical basis for its clinical treatment and new drug development. However, there is a lack of systematic reviews on the modulation of relevant signaling pathways by TCM in the treatment of PCOS. This article reviews the research progress in the treatment of PCOS with the active ingredients and compound prescriptions of TCM by regulating relevant signaling pathways in recent years, with the aim of providing evidence to support the promotion of TCM for treating PCOS in the future.
6.Acute Inflammatory Pain Induces Sex-different Brain Alpha Activity in Anesthetized Rats Through Optically Pumped Magnetometer Magnetoencephalography
Meng-Meng MIAO ; Yu-Xuan REN ; Wen-Wei WU ; Yu ZHANG ; Chen PAN ; Xiang-Hong LIN ; Hui-Dan LIN ; Xiao-Wei CHEN
Progress in Biochemistry and Biophysics 2025;52(1):244-257
ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.
7.Qishen Granules Modulate Metabolism Flexibility Against Myocardial Infarction via HIF-1 α-Dependent Mechanisms in Rats.
Xiao-Qian SUN ; Xuan LI ; Yan-Qin LI ; Xiang-Yu LU ; Xiang-Ning LIU ; Ling-Wen CUI ; Gang WANG ; Man ZHANG ; Chun LI ; Wei WANG
Chinese journal of integrative medicine 2025;31(3):215-227
OBJECTIVE:
To assess the cardioprotective effect and impact of Qishen Granules (QSG) on different ischemic areas of the myocardium in heart failure (HF) rats by evaluating its metabolic pattern, substrate utilization, and mechanistic modulation.
METHODS:
In vivo, echocardiography and histology were used to assess rat cardiac function; positron emission tomography was performed to assess the abundance of glucose metabolism in the ischemic border and remote areas of the heart; fatty acid metabolism and ATP production levels were assessed by hematologic and biochemical analyses. The above experiments evaluated the cardioprotective effect of QSG on left anterior descending ligation-induced HF in rats and the mode of energy metabolism modulation. In vitro, a hypoxia-induced H9C2 model was established, mitochondrial damage was evaluated by flow cytometry, and nuclear translocation of hypoxia-inducible factor-1 α (HIF-1 α) was observed by immunofluorescence to assess the mechanism of energy metabolism regulation by QSG in hypoxic and normoxia conditions.
RESULTS:
QSG regulated the pattern of glucose and fatty acid metabolism in the border and remote areas of the heart via the HIF-1 α pathway, and improved cardiac function in HF rats. Specifically, QSG promoted HIF-1 α expression and entry into the nucleus at high levels of hypoxia (P<0.05), thereby promoting increased compensatory glucose metabolism; while reducing nuclear accumulation of HIF-1 α at relatively low levels of hypoxia (P<0.05), promoting the increased lipid metabolism.
CONCLUSIONS
QSG regulates the protein stability of HIF-1 α, thereby coordinating energy supply balance between the ischemic border and remote areas of the myocardium. This alleviates the energy metabolism disorder caused by ischemic injury.
Animals
;
Myocardial Infarction/physiopathology*
;
Male
;
Hypoxia-Inducible Factor 1, alpha Subunit/metabolism*
;
Rats, Sprague-Dawley
;
Glucose/metabolism*
;
Drugs, Chinese Herbal/therapeutic use*
;
Energy Metabolism/drug effects*
;
Rats
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Fatty Acids/metabolism*
;
Myocardium/pathology*
8.Accurate Machine Learning-based Monitoring of Anesthesia Depth with EEG Recording.
Zhiyi TU ; Yuehan ZHANG ; Xueyang LV ; Yanyan WANG ; Tingting ZHANG ; Juan WANG ; Xinren YU ; Pei CHEN ; Suocheng PANG ; Shengtian LI ; Xiongjie YU ; Xuan ZHAO
Neuroscience Bulletin 2025;41(3):449-460
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals
;
Machine Learning
;
Electroencephalography/methods*
;
Ketamine/administration & dosage*
;
Rats
;
Male
;
Propofol/administration & dosage*
;
Rats, Sprague-Dawley
;
Anesthesia, General/methods*
;
Brain/physiology*
;
Intraoperative Neurophysiological Monitoring/methods*
9.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
;
Humans
;
Delivery of Health Care
;
Generative Artificial Intelligence
10.Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm.
Xiao-Jie LI ; Le CHANG ; Yang MI ; Ge ZHANG ; Shan-Shan ZHU ; Yue-Xiao ZHANG ; Hao-Yu WANG ; Yi-Shuang LU ; Ye-Xuan PING ; Peng-Yuan ZHENG ; Xia XUE
Journal of Integrative Medicine 2025;23(4):445-456
OBJECTIVE:
Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity.
METHODS:
To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes.
RESULTS:
We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1.
CONCLUSION
We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans
;
Carcinoma, Hepatocellular/pathology*
;
Liver Neoplasms/pathology*
;
Circadian Rhythm/genetics*
;
Prognosis
;
Male
;
Female
;
Biomarkers, Tumor/genetics*
;
Middle Aged
;
Machine Learning
;
Computational Biology


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