ObjectiveTo investigate the association between noninvasive liver fibrosis markers and carotid plaque （CP） in patients with lean metabolic dysfunction-associated fatty liver disease （MAFLD）， and to provide a basis for screening high-risk populations. MethodsA total of 957 patients with lean MAFLD who underwent physical examination in Subei People’s Hospital from January 2021 to June 2023 was enrolled as the observation cohort， with the presence or absence of CP as the outcome， and fibrosis-4 （FIB-4） index and nonalcoholic fatty liver disease fibrosis score （NFS） were used to assess liver fibrosis degree. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The multivariate logistic regression analysis， the restricted cubic spline analysis， the receiver operating characteristic curve， and the mediation effect analysis were used to investigate the association between liver fibrosis degree and CP. ResultsThe prevalence rate of CP was 36.6% in the lean MAFLD population. Compared with the non-CP group（n=607）， the CP group （n=350） had a significantly higher proportion of male patients， a significantly higher proportion of patients with smoking/diabetes/hypertension， and significantly higher levels of age， creatinine， blood urea nitrogen， triglycerides， fasting blood glucose， aspartate aminotransferase， aspartate aminotransferase/alanine aminotransferase ratio， NFS， and FIB-4 index， as well as significantly lower levels of platelet count and albumin （all P<0.05）. The multivariate logistic regression analysis showed that after adjustment for confounding factors， FIB-4 index （odds ratio［OR］=2.979， 95% confidence interval［CI］：2.141 — 4.219， P<0.001） and NFS （OR=1.747， 95%CI： 1.499 — 2.046， P<0.001） were positively correlated with CP. Both FIB-4 index and NFS had a good value in predicting CP. Hypertension had a significant indirect effect on the prevalence rate of CP through its impact on liver fibrosis markers， and its mediating effect accounted for 39.5% — 40.8% of the total effect （P<0.001）. ConclusionIn patients with lean MAFLD， NFS and FIB-4 index are significantly positively correlated with the prevalence rate of CP， and they can be used as potential epidemiological predictive indicators. Liver fibrosis markers may play a mediating role in the association between hypertension and CP. Interventions targeting hypertension and liver fibrosis markers may help to prevent and delay the progression of CP.

OBJECTIVE To explore the effects of the Jianpi huatan formula （JPHTF） on polycystic ovary syndrome （PCOS） in rats by regulating the high mobility group box 1 protein （HMGB1）/receptor for advanced glycation end products （RAGE） signaling pathway. METHODS The rats were randomly divided into the normal （Con） group， the PCOS group， the JPHTF-L group （5.54 g/kg）， the JPHTF-H group （11.07 g/kg）， the JPHTF-H+rHMGB1 group （11.07 g/kg of JPHTF+8 μg/kg of rHMGB1）， and metformin group （0.27 g/kg）， with 12 rats in each group. Except for the rats of Con group， which were given 1% sodium carboxymethyl cellulose intragastrically and fed with normal chow， the remaining rats were induced to develop PCOS models by using a high-fat diet combined with letrozole. Af ter successful modeling， rats in each drug group were administered the corresponding drugs by gavage or tail vein injection once a day for 4 consecutive weeks. 24 h after the intervention， body weight and ovarian coefficient were detected. The levels of fasting blood glucose （FBG）， serum levels of fasting insulin （FINS）， follicle stimulating hormone （FSH）， luteinizing hormone （LH）， testosterone （T） and estradiol （E 2 ） were detected. The homeostasis model assessment of insulin resistance （HOMA-IR） was calculated. The levels of tumor necrosis factor-α （TNF-α）， interleukin-18 （IL-18） and IL-1β and the protein expressions of HMGB1， RAGE， phosphorylated nuclear factor-κB （p-NF-κB） and NF-κB in the ovarian tissues of rats were detected. The morphology of ovarian tissue was observed， and the numbers of cystic follicles and corpora lutea were counted. RESULTS Compared with PCOS group， polycystic changes of ovarian tissue in rats showed varying degrees of improvement in the JPHTF-L group， JPHTF-H group， and metformin group； body weight， ovarian coefficient， FBG， the number of cystic follicles， serum levels of FINS， HOMA-IR， T， LH， LH/FSH， the levels of TNF-α， IL-18 and IL-1β and protein expressions of HMGB1 and RAGE in ovarian tissue as well as phosphorylation level of NF-κB protein all significantly decreased； the number of corpora lutea and the serum levels of E 2 and FSH significantly increased （ P ＜0.05）. Compared with JPHTF-H group， above indexes of rats were reversed significantly in JPHTF-H+rHMGB1 group （ P ＜0.05）. CONCLUSIONS JPHTF can reduce the inflammatory response in PCOS rats， mitigate ovarian injury， regulate hormone balance， and improve insulin resistance and follicular development by inhibiting the HMGB1/RAGE signaling pathway.

ObjectiveTo investigate the association of liver fibrosis scores and inflammation markers with gallstones in patients with metabolic dysfunction-associated fatty liver disease （MAFLD）， as well as the mediating role of liver fibrosis scores in the relationship between inflammation markers and gallstones. MethodsA total of 14 567 patients who received physical examination and were diagnosed with MAFLD in Subei People’s Hospital from January 2014 to June 2023 were enrolled in this study， and according to the results of abdominal color Doppler ultrasound， they were divided into gallstone group with 1 724 patients and non-gallstone group with 12 843 patients. Related clinical data were collected from all patients， including demographic data， medical history， family history， physical examination， Color Doppler ultrasound， and biochemical parameters. The biomarkers associated with metabolic disorders and insulin resistance included triglyceride-glucose index （TyG）， TyG-body mass index （BMI） index， atherogenic index of plasma （AIP）， and non-high-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol ratio （NHHR）； the biomarkers associated with inflammation and nutritional status included neutrophil-to-lymphocyte ratio （NLR）， neutrophil percentage-to-albumin ratio （NPAR）， and monocyte-to-lymphocyte ratio （MLR）； the biomarkers for assessing liver fibrosis degree and liver function included albumin-bilirubin （ALBI） score， NAFLD fibrosis score （NFS）， fibrosis-4 （FIB-4） index， and aspartate aminotransferase-to-platelet ratio index （APRI）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， while the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Multivariate Logistic regression analysis， restricted cubic spline analysis， and mediating effect analysis were used to assess the association of liver fibrosis markers and inflammation markers with the risk of gallstones. ResultsThe prevalence rate of gallstones was 11.8% among the MAFLD patients. There were significant differences between the gallstone group and the non-gallstone group in sex， age， smoking history， diabetes， hypertension， lymphocytes， platelets， glucose， albumin， serum uric acid， alanine aminotransferase， aspartate aminotransferase， red blood cell， NLR， NPAR， MLR， NFS， FIB-4 index， and ALBI score （all P<0.05）. The multivariate Logistic regression analysis showed that NLR （odds ratio ［OR］=1.091， 95% confidence interval ［CI］： 1.028　—　1.160， P<0.05）， NPAR （OR=1.073， 95%CI： 1.042　—　1.105， P<0.05）， MLR （OR=1.142， 95%CI： 1.057　—　1.232， P<0.05）， NFS （OR=1.239， 95%CI： 1.190　—　1.291， P<0.05）， and FIB-4 index （OR=1.326， 95%CI： 1.241　—　1.417， P<0.05） were influencing factors for the prevalence rate of gallstones. The restricted cubic spline analysis showed a significant non-linear association between NFS/FIB-4 index and the risk of gallstone （non-linear P<0.05）. The mediating effect analysis further showed that the association of NLR， MLR， and NPAR with gallstones was partially mediated by NFS or FIB-4 index， with a mediating effect accounting for 36.79%、28.09%、29.67% and 18.31%、17.70、11.57%， respectively. ConclusionNFS and FIB-4 index have a non-linear association with the prevalence rate of gallstones in MAFLD patients， and they also mediate the association of NLR， NPAR， and MLR with the risk of gallstone.

Purpose: Due to the preservation of the entire stomach after endoscopic resection, the occurrence of metachronous gastric cancer (MGC) remains a possibility. In this study, we investigated the incidence and risk factors for MGC in patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) and successfully eradicatedHelicobacter pylori. Materials and Methods: A retrospective analysis was conducted of 1,191 patients who underwent ESD and successfully eradicated H. pylori at the Affiliated Drum Tower Hospital of Nanjing University. Endoscopic surveillance was performed at 3, 6, and 12 months post-resection, and annually thereafter. MGC was defined as the development of a new cancer at a site other than the primary gastric cancer site, at least 1 year after the initial endoscopic resection. Results: A total of 77 patients were diagnosed with MGC during a median follow-up of 41.5 months. Kaplan-Meier analysis showed a 5-year cumulative incidence of MGC of 9.4% after successful H. pylori eradication. Multivariate analysis of the training set using Cox proportional hazards models identified male sex, severe atrophic gastritis, multiple gastric cancers before H. pylori eradication, and smoking history as independent risk factors for MGC.The nomogram exhibited favorable discrimination, with area under the curves of 0.767 and 0.822 in the training set and 0.724 and 0.745 in the testing set at 3 and 5 years, respectively. Conclusions Patients with gastric cancer who undergo endoscopic resection, even after successful H. pylori eradication, should undergo annual and continuous endoscopic surveillance for MGC.

ObjectiveTo investigate the effects and potential mechanisms of Babaodan （BBD） against acetaminophen （APAP）-induced acute liver injury （ALI） based on transcriptomics. MethodsA total of 36 male C57BL/6 mice were randomly divided into 6 groups （n=6 per group）： normal group， model group， N-acetylcysteine group （NAC， 120 mg·kg^-1）， and BBD low-， medium-， and high-dose groups （BBD-L， BBD-M， BBD-H groups， 75， 150， 300 mg·kg^-1， respectively）. Except for the normal group， all other groups were subjected to APAP-induced ALI. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C） were measured in each group. Hepatic levels or activities of malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） were detected using commercial kits. Hematoxylin-eosin （HE） staining was performed to evaluate the degree of liver histopathological damage. Transcriptomic analysis was employed to screen differentially expressed genes （DEGs）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify differential pathways involved in BBD intervention against ALI. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were applied to validate the expression of differential genes and related pathway proteins. Additionally， glucose （GLU） consumption， as well as lactate （LD） and adenosine triphosphate （ATP） content were assessed across all mouse groups. ResultsPharmacodynamic evaluation showed that， compared with the normal group， the model group exhibited significantly elevated serum levels of ALT， AST， TC， TG， and LDL-C （P<0.01）， significantly increased MDA level （P<0.01）， and significantly decreased GSH-Px level （P<0.05）. Compared with the model group， BBD intervention at different doses significantly reduced the serum levels of ALT， AST， TC， TG， and LDL-C （P<0.05， P<0.01）， increased GSH-Px level （P<0.05， P<0.01）， significantly decreased MDA level （P<0.01）， and ameliorated hepatic histopathological injury. Liver transcriptomic analysis revealed that， following high-dose BBD intervention， the core genes were mainly enriched in pathways related to inflammatory responses and energy metabolic reprogramming， including the interleukin-17 （IL-17） signaling pathway， the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， fructose and mannose metabolism， and glycolysis. Real-time PCR validation demonstrated that， compared with the normal group， the mRNA expression levels of glycolysis-related genes ［hexokinase 1 （HK1）， hexokinase 2 （HK2）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 4 （PFKFB4）， pyruvate kinase M （PKM）， and lactate dehydrogenase A （LDHA）］， as well as inflammatory cytokines ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）］ were significantly upregulated in the model group （P<0.05， P<0.01）. Compared with the model group， the BBD-H group showed significantly decreased mRNA expression of HK1， HK2， PFKFB3， PFKFB4， PKM， LDHA， TNF-α， IL-6， and IL-1β （P<0.05， P<0.01）. Western blot results indicated that， compared with the normal group， the model group had significantly increased expression of glycolysis-related proteins ［glucose transporter 1 （GLUT1）， HK1， PFKFB3， and PKM］， inflammatory proteins ［interleukin-18 （IL-18）， TNF-α， and IL-1β］， and phosphorylated （p）-PI3K and p-Akt proteins （P<0.05， P<0.01）. Compared with the model group， the BBD-H group exhibited significantly decreased expression of GLUT1， HK1， PFKFB3， PKM， IL-18， TNF-α， IL-1β， p-PI3K， and p-Akt （P<0.05， P<0.01）. Metabolic indicator measurements showed that， compared with the model group， the BBD-H group showed significantly reduced GLU consumption， LD and ATP content （P<0.05， P<0.01）. ConclusionBBD may alleviate APAP-induced ALI through dual regulation of metabolic reprogramming and inflammatory responses， potentially via inhibition of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the effects and potential mechanisms of Babaodan （BBD） against acetaminophen （APAP）-induced acute liver injury （ALI） based on transcriptomics. MethodsA total of 36 male C57BL/6 mice were randomly divided into 6 groups （n=6 per group）： normal group， model group， N-acetylcysteine group （NAC， 120 mg·kg^-1）， and BBD low-， medium-， and high-dose groups （BBD-L， BBD-M， BBD-H groups， 75， 150， 300 mg·kg^-1， respectively）. Except for the normal group， all other groups were subjected to APAP-induced ALI. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C） were measured in each group. Hepatic levels or activities of malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） were detected using commercial kits. Hematoxylin-eosin （HE） staining was performed to evaluate the degree of liver histopathological damage. Transcriptomic analysis was employed to screen differentially expressed genes （DEGs）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify differential pathways involved in BBD intervention against ALI. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were applied to validate the expression of differential genes and related pathway proteins. Additionally， glucose （GLU） consumption， as well as lactate （LD） and adenosine triphosphate （ATP） content were assessed across all mouse groups. ResultsPharmacodynamic evaluation showed that， compared with the normal group， the model group exhibited significantly elevated serum levels of ALT， AST， TC， TG， and LDL-C （P<0.01）， significantly increased MDA level （P<0.01）， and significantly decreased GSH-Px level （P<0.05）. Compared with the model group， BBD intervention at different doses significantly reduced the serum levels of ALT， AST， TC， TG， and LDL-C （P<0.05， P<0.01）， increased GSH-Px level （P<0.05， P<0.01）， significantly decreased MDA level （P<0.01）， and ameliorated hepatic histopathological injury. Liver transcriptomic analysis revealed that， following high-dose BBD intervention， the core genes were mainly enriched in pathways related to inflammatory responses and energy metabolic reprogramming， including the interleukin-17 （IL-17） signaling pathway， the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， fructose and mannose metabolism， and glycolysis. Real-time PCR validation demonstrated that， compared with the normal group， the mRNA expression levels of glycolysis-related genes ［hexokinase 1 （HK1）， hexokinase 2 （HK2）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 4 （PFKFB4）， pyruvate kinase M （PKM）， and lactate dehydrogenase A （LDHA）］， as well as inflammatory cytokines ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）］ were significantly upregulated in the model group （P<0.05， P<0.01）. Compared with the model group， the BBD-H group showed significantly decreased mRNA expression of HK1， HK2， PFKFB3， PFKFB4， PKM， LDHA， TNF-α， IL-6， and IL-1β （P<0.05， P<0.01）. Western blot results indicated that， compared with the normal group， the model group had significantly increased expression of glycolysis-related proteins ［glucose transporter 1 （GLUT1）， HK1， PFKFB3， and PKM］， inflammatory proteins ［interleukin-18 （IL-18）， TNF-α， and IL-1β］， and phosphorylated （p）-PI3K and p-Akt proteins （P<0.05， P<0.01）. Compared with the model group， the BBD-H group exhibited significantly decreased expression of GLUT1， HK1， PFKFB3， PKM， IL-18， TNF-α， IL-1β， p-PI3K， and p-Akt （P<0.05， P<0.01）. Metabolic indicator measurements showed that， compared with the model group， the BBD-H group showed significantly reduced GLU consumption， LD and ATP content （P<0.05， P<0.01）. ConclusionBBD may alleviate APAP-induced ALI through dual regulation of metabolic reprogramming and inflammatory responses， potentially via inhibition of the PI3K/Akt signaling pathway.

Objective To investigate the risk factors for ICU-acquired weakness (ICU-AW) in patients with sepsis, and to construct a nomogram prediction model. Methods A total of 360 patients with sepsis admitted from January 2020 to December 2025 were enrolled as study subjects. The risk factors for ICU-AW were identified by logistic regression analysis. A nomogram prediction model was constructed, and the model was validated. Results Multivariate logistic regression analysis indicated that age, APACHE II score, duration of mechanical ventilation, duration of immobilization, duration of sedation, and NLR were risk factors for the occurrence of ICU-AW (P<0.05), while ALB was a protective factor (P<0.05). A nomogram model was constructed based on these seven variables. After validation via Bootstrap resampling, ROC curve showed an AUC of 0.949 (0.929–0.969) and a corrected AUC of 0.942 (0.940–0.948), indicating good discrimination degree of the model. Hosmer-Lemeshow test for calibration curve revealed a chi-square value of 10.188 (P=0.252), suggesting that the predicted value of fitting was generally consistent with the actual value. Decision curve analysis demonstrated that when the threshold was in the range of 0.05–0.9, the model had a good net benefit. Conclusion The nomogram prediction model for sepsis ICU-AW based on seven indicators including age, APACHE II score, NLR, ALB, and the durations of mechanical ventilation, immobilization, and sedation exhibits good predictive efficiency and stability. This nomogram prediction model is helpful for the clinical rapid screening of ICU-AW high-risk groups in patients with sepsis, and meets clinical needs for early warning and precise prevention and control.

Objective: To investigate the changing trends for associations of anxiety and depressive symptoms with smartphone addiction among middle school students, so as to provide a scientific basis for preventing smartphone addiction in middle school students. Methods: From 2022 to 2023, a method of combining convenient sampling with cluster sampling was used to select 8 923 middle school students from 27 junior high schools and 3 senior high schools in a district of Shenzhen City between September 2022 (baseline, T1) and September 2023 (follow up, T2). The Smartphone Addiction Scale-Short Version (SAS-SV), Patients Health Questionnaire-9 Item (PHQ-9), and Generalized Anxiety Disorder 7-item Scale (GAD-7) were administered to assess smartphone addiction, anxiety and depressive symptoms. Mixed effects models were used to analyze the association of anxiety and depressive symptoms with smartphone addiction among middle school students. Results: From September 2022 to September 2023, the reported prevalence of smartphone addiction increased from 24.22% to 25.25% ( χ 2=45.71); and smartphone addiction scores [ 24.00 (16.00, 32.00),25.00(16.00, 33.00)], anxiety symptom scores [2.00(0.00, 7.00),3.00(0.00, 7.00)] and depressive symptom scores[3.00(0.00, 8.00),5.00(0.00, 9.00)] all significantly increased ( Z =-17.43, -42.38, -41.57) (all P <0.05). There were statistically significant difference in the distribution of anxiety and depression symptom levels among middle school students in 2022 and 2023 ( χ 2=85.15, 106.85, both P <0.05). After adjusting for covariates such as age, gender and family background, mixed effects models revealed dose response associations of anxiety and depressive symptoms with smartphone addiction among middle school students:mild anxiety symptom( OR =3.22), moderate to severe anxiety symptom ( OR =5.36), mild depressive symptom ( OR =3.32) and moderate to severe depressive symptom ( OR =6.13) were significantly associated with higher risks of smartphone addiction (all P <0.05). Interaction effect analysis found that co existing anxiety and depressive symptoms synergistically increased addiction risk by 5.60 times ( OR =5.60) compared to the asymptomatic group, with 32% of the combined risk attributable to their interaction ( S=1.64, AP =0.32)(both P < 0.05 ). Conclusions Anxiety and depressive symptoms are significantly associated with smartphone addiction, exhibiting a synergistic effect. Attention should be paid to emotional issues and smartphone addiction among middle school students.

Oral squamous cell carcinoma (OSCC) is the most common head and neck malignancy worldwide, accounting for more than 90% of all oral cancers, and is characterized by high invasiveness and poor long-term prognosis. Its etiology is multifactorial, involving tobacco use, alcohol consumption, and human papillomavirus (HPV) infection. Oral leukoplakia and erythroplakia are the main precancerous lesions lesions, with oral leukoplakia being the most common. Both OSCC and premalignant lesions are closely associated with aberrant activation of multiple signaling pathways. Post-translational modifications (such as ubiquitination and deubiquitination) play key roles in regulating these pathways by controlling protein stability and activity. Growing evidence indicates that dysregulated ubiquitination/deubiquitination can mediate OSCC initiation and progression via aberrant activation of signaling pathways. The ubiquitination/deubiquitination process mainly involves E3 ligases (E3s) that catalyze substrate ubiquitination, deubiquitinating enzymes (DUBs) that remove ubiquitin chains, and the 26S proteasome complex that degrades ubiquitinated substrates. Abnormal expression or mutation of E3s and DUBs can lead to altered stability of critical tumor-related proteins, thereby driving OSCC initiation and progression. Therefore, understanding the aberrantly activated signaling pathways in OSCC and the ubiquitination/deubiquitination mechanisms within these pathways will help elucidate the molecular mechanisms and improve OSCC treatment by targeting relevant components. Here, we summarize four aberrantly activated signaling pathways in OSCC―the PI3K/AKT/mTOR pathway, Wnt/β-catenin pathway, Hippo pathway, and canonical NF-κB pathway―and systematically review the regulatory mechanisms of ubiquitination/deubiquitination within these pathways, along with potential drug targets. PI3K/AKT/mTOR pathway is aberrantly activated in approximately 70% of OSCC cases. It is modulated by E3s (e.g., FBXW7 and NEDD4) and DUBs (e.g., USP7 and USP10): FBXW7 and USP10 inhibit signaling, while NEDD4 and USP7 potentiate it. Aberrant activation of the Wnt/β‑catenin pathway leads to β‑catenin nuclear translocation and induction of cell proliferation. This pathway is modulated by E3s (e.g., c-Cbl and RNF43) and DUBs (e.g., USP9X and USP20): c-Cbl and RNF43 inhibit signaling, while USP9X and USP20 potentiate it. Hippo pathway inactivation permits YAP/TAZ to enter the nucleus and promotes cancer cell metastasis. This pathway is modulated by E3s (e.g., CRL4^DCAF1 and SIAH2) and DUBs (e.g., USP1 and USP21): CRL4^DCAF1 and SIAH2 inhibit signaling, while USP1 and USP21 potentiate it. Persistent activation of the canonical NF-κB pathway is associated with an inflammatory microenvironment and chemotherapy resistance. This pathway is modulated by E3s (e.g., TRAF6 and LUBAC) and DUBs (e.g., A20 and CYLD): A20 and CYLD inhibit signaling, while TRAF6 and LUBAC potentiate it. Targeting these E3s and DUBs provides directions for OSCC drug research. Small-molecule inhibitors such as YCH2823 (a USP7 inhibitor), GSK2643943A (a USP20 inhibitor), and HOIPIN-8 (a LUBAC inhibitor) have shown promising antitumor activity in preclinical models; PROTAC molecules, by binding to surface sites of target proteins and recruiting E3s, achieve targeted ubiquitination and degradation of proteins insensitive to small-molecule inhibitors, for example, PU7-1-mediated USP7 degradation, offering new strategies to overcome traditional drug limitations. Currently, NX-1607 (a Cbl-b inhibitor) has entered phase I clinical trials, with preliminary results confirming its safety and antitumor activity. Future research on aberrant E3s and DUBs in OSCC and the development of highly specific inhibitors will be of great significance for OSCC precision therapy.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.