Background: From the perspective of traditional medicine, researchers believe that the individual’s innate quality has a reciprocal effect on the physiological level. The study of body-specific quality differences is important for improving disease risk prediction, diagnosis, and treatment approaches. Therefore, explaining the features of traditional medicine with some physiological parameters and establishing the relationship between them is clinically significant and important for predicting disease risk and developing individualized treatment methods, which is the basis of this research. Aim: To establish the correlation between an individual’s innate unique constitution and specific biochemical indicators. Materials and Methods: The innate unique constitution of individuals was determined using electronic data, and the relationships between their characteristics and levels of uric acid, creatinine, urea, and glucose in the blood were analyzed. Results: A total of 102 participants were included in the study. Among them, the Shar-Khi constitution was the most prevalent, with 28 cases (27.45%), while the Khi-Badgan constitution was the least common, with 13 cases (12.75%). Individuals with the Khi-Shar constitution exhibited the highest urea level at 4.47 ммоль/л, whereas those with the Badgan-Shar constitution had the lowest at 4.15 ммоль/л. The uric acid level was highest in individuals with the Shar-Khi constitution at 316.15 µmol/L and lowest in those with the Badgan-Shar constitution at 261.36 µmol/L (p<0.001). Furthermore, individuals with the Badgan-Khi constitution had the highest creatinine level at 73.51 µmol/L, while those with the Badgan-Shar constitution had the lowest at 63.97 µmol/L (p<0.001). The blood glucose level was highest in individuals with the Khi-Badgan constitution at 4.59 ммоль/л and lowest in those with the Khi-Shar constitution at 4.21 ммоль/л. Kidney function indicators, particularly creatinine, significantly correlated with blood glucose levels (r=0.67, p<0.01). Higher uric acid and creatinine levels were associated with elevated blood glucose levels. These findings suggest that variations in urea, uric acid, and creatinine levels among different unique constitutions could be utilized to predict the risk of kidney disease or diabetes. Conclusion Depending on the individual characteristics of traditional medicine, kidney and blood sugar parameters are different and related to each other, and can assess the state of diabetes and kidney disease. Determining the inherent characteristics of an individual is considered important for improving the diagnosis, treatment, and prevention of diabetes and kidney disease.

The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal periods. An unsupervised learning detection method for epileptic seizure that jointed graph attention network (GAT) and Transformer framework (GAT-T) was proposed. In this method, channel correlations were adaptively learned by GAT encoder. Temporal information was captured by one-dimensional convolution decoder. Combining outputs of the two mentioned above, predicted values for electroencephalogram were generated. The collective anomaly score was calculated and the detection threshold was determined. The results demonstrated that GAT-T achieved the average performance exceeding 90% (or 99%) with a 0.25 s (or 2 s) time segment length, which could effectively detect epileptic seizures. Moreover, the channel association probability matrix was expected to assist clinicians in the initial screening of the epileptogenic zone, and ablation experiments also reflected the significance of each module in GAT-T. This study may assist clinicians in making more accurate diagnostic and therapeutic decisions for epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Algorithms ; Seizures/physiopathology* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

B and T lymphocyte attenuator (BTLA) is an inhibitory immune checkpoint, which typically interacts with herpesvirus entry mediator (HVEM) and plays a crucial role in regulating immune balance. BTLA interacts with its ligand HVEM in a cis manner on the surface of the same immune cell to maintain immune tolerance, while trans interactions on the surface of different immune cells mediate immunosuppressive effects. Dysregulation of the BTLA/HVEM axis can impair the functions of immune cells, particularly T lymphocytes, promoting immune escape of tumor cells and ultimately leading to tumor progression. Researchers have found that BTLA and HVEM are abnormally expressed in various tumors and are associated with prognosis, suggesting that they may be potential targets for tumor immunotherapy. This review summarizes the molecular structures of BTLA and HVEM, immunomodulatory mechanisms, recent advances in hematologic malignancies, potential inhibitors of BTLA/HVEM interaction, and their applications in immunotherapy for hematologic malignancies.
Humans ; Receptors, Tumor Necrosis Factor, Member 14/chemistry* ; Receptors, Immunologic/immunology* ; Hematologic Neoplasms/genetics* ; Immunotherapy/methods* ; Animals

The innate immune response is the first line of defense for the host against viral infections. Targeted degradation of pathogenic microorganisms through autophagy, in conjunction with pattern recognition receptors synergistically inducing the production of interferon (IFN), constitutes an important pathway for the body to resist viral infections. Rubicon, a Run domain Beclin 1-interacting and cysteine-rich domain protein, has an inhibitory effect on autophagy and IFN production. On the one hand, Rubicon, as a component of the phosphoinositide 3-kinase (PI3K) complex, interacts with different domains of vacuolar protein sorting 34 (Vps34), ultraviolet radiation resistance associated gene (UVRAG), guanosine triphosphate (GTP) kinase, and RAS oncogene family member 7 (Rab7) to mediate the inhibition of autophagy maturation; on the other hand, Rubicon inhibits the ubiquitination of nuclear factor κB essential modulator (NEMO) and the dimerization of interferon regulatory factor 3 (IRF3), thereby blocking the signal transduction related to IFN production. Research has revealed that various viruses, such as Kaposi's sarcoma-associated herpesvirus (KSHV), hepatitis B virus (HBV), Sendai virus (SeV), and hepatitis C virus (HCV), achieve innate immune evasion by regulating the expression or function of Rubicon. Rubicon is expected to be a new target for antiviral therapy.
Humans ; Autophagy/immunology* ; Immunity, Innate ; Interferons/immunology* ; Immune Evasion ; Animals ; Virus Diseases/virology* ; Signal Transduction ; Viruses/immunology* ; Intracellular Signaling Peptides and Proteins/immunology* ; Autophagy-Related Proteins

Objective To evaluate whether Vibrio vulnificus secreted exotoxin-hemolysin (VVH) can activate platelet, an important blood immune cell, and to explore the possible molecular mechanism of platelet activation by VVH. Methods Transcriptomics and immunohistochemistry were used to analyze whether Vibrio vulnificus infection caused platelet activation in mice. Then, flow cytometry was used to identify whether VVH was the main stimulator of platelet activation. Naturally expressed VVH toxin was purified and prepared. The effects of extracellular and intracellular Ca²⁺ signal inhibitors on VVH activated platelets were evaluated by flow cytometry and Western blotting. The immune activation effect of VVH in the early stage of Vibrio vulnificus infection was analyzed in vivo. Results VVH was the main stimulator of platelet activation in Vibrio vulnificus culture supernatant. Natural VVH can induce the increase of P-selectin (CD62P) on platelet surface, the formation of platelet-neutrophil complex (PNC), and the release of platelet microvesicles. The activation mechanism may be related to the VVH pore-dependent Ca²⁺-calmodulin (CaM) -myosin light chain kinase (MLCK) signaling pathway, which led to the release of platelet alpha particles and cascade activation of platelets. In a mouse model of ALD infected by Vibrio vulnificus gavage, VVH was strongly associated with platelet activation. Conclusion This study shows that VVH is an important platelet activating molecule in the early stage of Vibrio vulnificus infection, and its induction of platelet activation may be related to the pathogenic process.
Animals ; Platelet Activation/drug effects* ; Hemolysin Proteins/pharmacology* ; Vibrio vulnificus/metabolism* ; Mice ; Blood Platelets/drug effects* ; Vibrio Infections/immunology* ; P-Selectin/metabolism* ; Bacterial Proteins ; Female

Objective To explore the expression of coagulation indexes in rheumatoid arthritis (RA) and dry syndrome (pSS) and their relationships with inflammation and immune function. Methods A total of 61 patients with RA who were hospitalized in the Department of Rheumatology of Anhui Provincial Hospital of Traditional Chinese Medicine from March 12 to September 9, 2024 were selected as the RA group. And 61 patients with pSS who were hospitalized in the Department of Rheumatology of the same hospital September 4, 2023, to August 17, 2024, were selected as the pSS group. 61 healthy individuals who underwent routine medical checkups at the Physical Examination Center of Anhui Provincial Hospital of Traditional Chinese Medicine during the same period were included as the control group. Baseline clinical indexes before treatment were collected from patients in each group, including prothrombin time(PT), international normalized ratio(INR), thrombia time(TT), fibrinogen(FBG), activated partial thromboplastin time(APTT), fibrin (ogen) degradation products(FDP) and D-Dimer(D-D). Results The expression levels of PT, FBG, TT, FDP, and D-D in the RA group, the pSS group, and the normal group were significantly different. The expression levels of PT, FBG, FDP, and D-D in the RA group were all higher than those in the pSS group and the control group, respectively. And the expression level of TT in the pSS group was lower than that in control group. ROC curve analysis showed that the AUC of PT was 0.638, the AUC of FBG was 0.899, the AUC of FDP was 0.866, and the AUC of D-D was 0.919 in the RA group compared with the normal group. And the AUC of coagulation indexes for joint diagnosis of RA was higher than that of the indexes detected individually. pSS group had an AUC of PT of 0.618 compared with that of the normal group. The AUC of TT was 0.645, and the AUC of coagulation indexes for the joint diagnosis of pSS was higher than the AUC of each index detected separately. Association rule analysis showed that elevated D-D in RA patients had a significant correlation with elevated hs-CRP, CCP and RF, and elevated FBG had a significant correlation with elevated hs-CRP, ESR, RF and CCP. Elevated D-D in pSS patients had a correlation with elevated hs-CRP and anti-SSA, and elevated INR has correlation with elevated hs-CRP, anti-SSA and anti-SSB. Correlation analysis showed that PT, INR, FBG, FDP, and D-D were positively correlated with CRP and ESR, and TT was negatively correlated with CRP and ESR in the RA group. FBG, FDP, and D-D were positively correlated with CRP and ESR in the pSS group. Moreover, coagulation indexes were positively correlated with immune indexes in RA group and pSS group which were all significant. The results of multiple linear regression analysis showed that FBG was a positive correlate of hs-CRP and ESR in RA patients. For PSS patients, FBG and FDP were positive correlates of hs-CRP. APTT and FBG were positive correlates of ESR. Conclusion Compared with pSS, coagulation indexes (especially PT, FBG, FDP and D-D) are more informative for the early diagnosis of RA and the judgment of the degree of the disease, and can be used as an important predictor for the confirmation of the diagnosis of RA.
Humans ; Female ; Male ; Arthritis, Rheumatoid/diagnosis* ; Middle Aged ; Fibrin Fibrinogen Degradation Products/analysis* ; Blood Coagulation ; Adult ; Fibrinogen/metabolism* ; Partial Thromboplastin Time ; Prothrombin Time ; Aged ; Inflammation/immunology* ; ROC Curve

Objective To explore the expression levels of CD33⁺ myeloid-derived suppressor cell (MDSC)-mediated T lymphocyte function and related inflammatory factors secreted by T lymphocyte subsets in patients with cervical cancer, and to analyze their correlation with the treatment efficacy of ¹²⁵I particle implantation combined with arterial chemoembolization, as well as predictive value for treatment outcomes and interaction effects. Methods From January 1st, 2021 to January 1st, 2024, our hospital admitted 152 patients with advanced cervical cancer, who were confirmed by pathological examination. All patients received uterine artery chemoembolization combined with ¹²⁵I particle implantation. The predictive value of CD33⁺MDSC levels for clinical treatment response in cervical cancer was assessed using receiver operating characteristic (ROC) curve analysis. Multivariate logistic regression analysis was performed to evaluate both multiplicative and additive interactions between CD33⁺MDSC and T lymphocytes in predicting clinical treatment failure of cervical cancer. Kaplan Meier method was used to analyze the survival differences between cervical cancer patients with high and low CD33⁺MDSC expression levels. Results Compared with the effective group, patients in the ineffective group had decreased expression levels of CD3⁺ T lymphocyte, CD4⁺ T lymphocyte, interleukin 2 (IL-2) and interferon γ (IFN-γ), while showing increased expression levels of CD33⁺MDSC, CD8⁺ T lymphocyte, IL-4 and IL-6, along with increased tumor necrosis factor α (TNF-α) levels, larger maximum tumor diameters, and a higher incidence of lymph node metastasis. The expression levels of CD33⁺MDSCs demonstrated good predictive performance for treatment efficacy in cervical cancer patients. The high CD33⁺MDSC expression group had a significantly shorter overall survival (OS) than the low CD33⁺MDSC expression group (6.0±1.0 months vs. 12.0±1.2 months; t=33.280). The interaction analysis revealed that CD33⁺MDSCs and CD8⁺ T lymphocytes were highly expressed, while CD3⁺ and CD4⁺ T lymphocytes were lowly expressed, which was associated with an increased risk of clinical treatment failure in cervical cancer patients. Conclusion CD33⁺MDSCs can inhibit CD3⁺ and CD4⁺ T lymphocytes. It can upregulate the expression of CD8⁺ T lymphocytes, form an immunosuppressive microenvironment, and reduce the treatment response rate of ¹²⁵I particle implantation combined with arterial chemoembolization. CD33⁺MDSCs may serve as an independent biomarker for predicting the therapeutic efficacy and poor prognosis.
Humans ; Female ; Uterine Cervical Neoplasms/immunology* ; Middle Aged ; Chemoembolization, Therapeutic/methods* ; Sialic Acid Binding Ig-like Lectin 3/immunology* ; Adult ; T-Lymphocytes/immunology* ; Aged ; Treatment Outcome

Alzheimer's disease (AD) remains a formidable challenge in modern healthcare, necessitating innovative approaches for its early detection and intervention. This study aimed to enhance the identification of individuals with mild cognitive impairment (MCI) at risk of developing AD. Leveraging advances in computational power and the extensive availability of healthcare data, we explored the potential of deep learning models for early prediction using medical claims data. We employed a bidirectional gated recurrent unit (BiGRU) deep learning model for predictive modeling of MCI progression across various prediction intervals, extending up to five years post-initial MCI diagnosis. The performance of the BiGRU model was rigorously compared with several machine-learning model baselines to evaluate its efficacy. Using a robust cross-validation methodology, the BiGRU emerged as the top-performing model, achieving an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.833 (95% CI: 0.822, 0.843), an Area Under the Precision-Recall Curve (AUC-PR) of 0.856 (95% CI: 0.845, 0.867), and an F1-Score of 0.71 (95% CI: 0.694, 0.724) for a five-year prediction interval. The results indicate that BiGRU, utilizing longitudinal claims data, reliably predicts MCI-to-AD progression over a lengthy interval following the initial MCI diagnosis, offering clinicians a valuable tool for targeted risk identification and stratification.

Objective To explore the value of vesical imaging reporting and data system(VI-RADS)combined with absolute tumor-wall contact length(ABTCL)and actual tumor-wall contact length(ACTCL)in diagnosing muscle invasive bladder cancer(MIBC).Methods The MRI data of 113 patients with pathologically confirmed bladder cancer(BCa)were analyzed retrospectively.All patients underwent conventional MRI,diffusion weighted imaging(DWI)and dynamic contrast enhanced(DCE)MRI before sur-gery.Two radiologists independently evaluated MRI images based on VI-RADS score,and measured quantitative parameters,inclu-ding ABTCL and ACTCL.The Chi-square test was used to compare the difference of VI-RADS scores between MIBC and non-mus-cle invasive bladder cancer(NMIBC).Quantitative parameters between MIBC and NMIBC were compared by Mann-Whitney U test.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of VI-RADS,quantitative parameters and VI-RADS combined with quantitative parameters in the diagnosis of MIBC.Results VI-RADS,ABTCL and ACTCL had significant differences between MIBC and NMIBC(P＜0.05).The area under the curve(AUC)for VI-RADS,ABTCL and ACTCL in diagno-sing MIBC were 0.89,0.76 and 0.77,respectively.There was no significant difference between the AUC for ABTCL and ACTCL(P＞0.05).The AUC for VI-RADS combined with ABTCL or ACTCL in diagnosing MIBC was 0.93,higher than that of only VI-RADS(P＜0.05).Conclusion The combination of VI-RADS with either ABTCL or ACTCL can effectively improve the diagnostic performance of MIBC.ABTCL obtainedby linear measurement is easier to implement in clinical practice than ACTCL obtained by curved measurement.

Protein disulfide isomerase A6 (PDIA6) is closely related to inflammation and endoplasmic reticulum stress. To obtain the glycosyl derivatives of benzophenone polyphenols targeting PDIA6 with strong anti-inflammatory effects, twenty-five target glycosyl derivatives were synthesized by Friedel-Crafts acylation and deacetylation reaction, starting from the substituted benzophenone and α-bromoacetyl saccharide, and their interactions with PDIA6 were quantitatively investigated by bio-layer interferometry (BLI) technique. Their in vitro anti-inflammatory properties were also evaluated. The results showed that target compounds 4b, 10b, 17b, 18b, and 25b not only exhibit high affinity with PDIA6, but also present strong anti-inflammatory abilities. Above results suggest that this class of compounds can affect the signaling pathways related to inflammation by directly acting on PDIA6. In particular, such compounds exhibit the strong inhibitory effects on IL-1β and IL-6 release, suggesting the potential development prospect in the treatment of inflammatory diseases.