OBJECTIVE To investigate the ameliorative effects of Coptidis Rhizoma-Ophiopogonis Radix herb pair （HLMD） in rats with type 2 diabetes mellitus （T2DM） and its potential mechanisms.METHODS Male Wistar rats were randomly divided into a control group （6 rats） and a model induction group （30 rats）. The T2DM rat model was established by feeding a high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin. The successfully modeled rats were subsequently divided into the model group， the metformin group （200 mg/kg）， and the low-， medium-， and high-dose HLMD groups （100， 200 and 400 mg/kg， respectively）， with six rats in each group. Rats in each group were administered the corresponding drug solution or normal saline by oral gavage once daily for six consecutive weeks. Body weight， fasting blood glucose （FBG）， the area under the curve （AUC） of the oral glucose tolerance test， serum lipid profiles [total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C）]， and inflammatory cytokine [interleukin-6 （IL-6）， IL-1β， tumor necrosis factor-α （TNF-α）， and IL-10] levels were measured. Histopathological changes in liver and pancreatic tissues， as well as hepatic lipid accumulation， were evaluated. Changes in gut microbiota composition were analyzed in the control， model， and high-dose HLMD groups. Network pharmacology and molecular docking analyses were performed to identify potential therapeutic targets of HLMD against T2DM， followed by experimental validation.RESULTS Compared with the model group， the body weight generally recovered in rats in all HLMD dose groups， while FBG levels consistently decreased. Histopathological abnormalities， including disrupted pancreatic islet architecture， disorganized hepatocyte arrangement， hepatic cord necrosis， and lipid accumulation， were alleviated to varying degrees. AUC （except for the low-dose group）， levels of TC， TG， LDL-C， IL-6（except for the low-dose group）， IL-1β and TNF-α， Simpson and Shannon indices， as well as the relative abundances of Firmicutes， Proteobacteria， and Clostridium were significantly reduced； meanwhile， the levels of HDL-C（except for the low-dose group） and IL-10 （except for the low-dose group）， as well as the relative abundances of Bacteroidota and Ligilactobacillus were significantly increased （ P ＜0.05）. Network pharmacology and molecular docking analyses suggested that the active constituents of HLMD， including quercetin， adenosine， oleanolic acid， stigmasterol， and ophiopogonin D′， may exert antidiabetic effects by targeting key proteins such as protein kinase B1（Akt1）， TNF， IL-6， P53 and IL-1β. Experimental validation further demonstrated that HLMD significantly downregulated the protein expressions of P53 （except for the low-dose group）， IL-6 （except for the low-dose group）， IL-1β and TNF-α in the liver tissues of T2DM rats （ P ＜0.05）.CONCLUSIONS HLMD alleviates glucose and lipid metabolism disorders， attenuates inflammatory responses， and ameliorates hepatic and pancreatic tissue damage in T2DM rats. These beneficial effects may be associated with the modulation of gut microbiota composition and the downregulation of inflammation-related targets， including P53， IL-6， IL-1β and TNF-α.

Objective:This study aims to systematically compare the differences in severity, clinical manifestations, and treatment processes between patients with foodborne and iatrogenic botulism, thereby providing evidence-based support for clinical diagnosis and management.Methods:A retrospective analysis was conducted on botulism patients admitted to the Second Hospital of Hebei Medical University between January 2010 and July 2024. The foodborne group was diagnosed according to the WS/T 83-1996 standard. The iatrogenic group required a documented history of type A botulinum toxin injection and typical clinical manifestations. Individuals with comorbid neurological disorders or incomplete clinical data were excluded. The severity of poisoning was classified into three groups: mild, moderate, and severe, according to the "Diagnosis and Treatment Protocol for Botulism". SPSS 26.0 software was used to statistically analyze the distribution of poisoning severity between groups and to compare clinical symptoms and course indicators across severity grades.Results:A total of 220 botulism patients were included in this study, comprising 86 cases of foodborne poisoning (39.1%) and 134 cases of iatrogenic poisoning (60.9%). There was a significant difference in the distribution of poisoning severity between the two groups ( P=0.001), the proportion of severe poisoning was significantly higher in the foodborne group. Analysis of clinical symptoms indicated that, among patients with mild poisoning, the incidence of nausea and vomiting was significantly higher in the foodborne group, compared to that in the iatrogenic group (44.0% vs. 16.4%, P=0.006). In patients with moderate poisoning, the iatrogenic group exhibited a significantly higher prevalence of hoarseness (60.5% vs. 35.7%, P=0.041) and neck weakness (53.5% vs. 17.9%, P=0.003) compared to the foodborne group. Conversely, the foodborne cohort experienced a notably longer interval before seeking medical attention when compared to their iatrogenic counterparts (2.25 d vs. 1.50 d, P=0.003). Among severe poisoning patients, the foodborne group exhibited a higher likelihood of experiencing fever (51.5% vs. 25.0%, P=0.044) and abdominal distension accompanied by constipation (69.7% vs. 41.7%, P=0.034) when compared to the iatrogenic group. Furthermore, the foodborne cohort demonstrated a significantly shorter incubation period (1.00 d vs. 2.45 d, P<0.001), an extended length of hospitalization (22.0 d vs. 16.00 d, P=0.001), and a prolonged duration of antitoxin therapy (14.00 d vs. 9.50 d, P<0.001), alongside a markedly higher total dosage administered (315 900 U vs. 163 300 U, P<0.001) compared to their iatrogenic counterparts. Conclusions:Statistically significant differences exist between food-borne and iatrogenic botulism. Food-borne botulism is characterized by acute onset, greater severity, and a prolonged course, predominantly featuring systemic symptoms and gastrointestinal dysfunction. In contrast, iatrogenic botulism primarily manifests with ocular and oropharyngeal muscle symptoms and is generally less severe.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:For small molecule drug 630120 based on proteolysis-targeting chimeras(PROTAC)that targets nicotinamide phosphoribosyltransferase(NAMPT),to explore its effect on the proliferation ability of colorectal cancer cells with low expression of nicotinate phosphoribosyltransferase(NAPRT).Methods:This study detected the protein expression levels of NAMPT and Tubby in tumor tissues and adjacent normal tissues from 5 colorectal cancer patients by immunohistochemical staining.Additionally,the Gene Expression Profiling Interactive Analysis(GEPIA)platform was used to analyze the expression level of NAMPT mRNA in colorectal cancer tissues and corresponding adjacent normal tissues from The Cancer Genome Atlas(TCGA)database.Based on previous studies in hematologic malignancies,to detect the degradation of NAMPT protein in colorectal cancer(CRC)cell lines(SW480,HT29,RKO,SW620 and HCT116)treated with the drug PROTAC-630120.Furthermore,to create NAPRT knockdown and knockout colorectal cancer cell lines by using shNAPRT plasmids and CRISPR-Cas9 technology.The impact of different concentrations of PROTAC-630120 on the proliferation of NAPRT knockdown and knockout colorectal cancer cells was validated by Cell Titer-Glo(CTG)luminescence assay and colony formation assay.Finally,Western blotting was also used to detect the effect of PROTAC-630120 on the expression of downstream proteins in the MAPK signaling pathway in colorectal cancer cells.Results:In colorectal cancer tissues,the expression levels of NAMPT protein and mRNA were significantly upregulated.The drug PROTAC-630120 can effectively degrade NAMPT protein in different colorectal cancer cells.Moreover,it can significantly inhibit the proliferation of NAPRT knockdown and knockout colorectal cancer cells.The IC50 values(half-maximal inhibitory concentration)for different colorectal cancer cell lines treated with PROTAC-630120 were as follows:RKOshNAPRT～49.03 nmol/L,HCT116shNAPRT～42.28 nmol/L,SW620shNAPRT～55.59 nmol/L,HT29shNAPRT～29.66 nmol/L,SW480shNAPRT～76.17 nmol/L,and SW480sgNAPRT～27.01/34.23 nmol/L.Finally,the drug PROTAC-630120 can inhibit the MAPK-ERK signaling pathway in colorectal cancer cells.Conclusion:The small molecule drug 630120 based on PROTAC that targets NAMPT protein,can inhibit the proliferation of NAPRT knockdown and knockout colorectal cancer cells,so it is expected to become a drug option for adjuvant therapy of cancer patients.

BACKGROUND:Early identification of patients requiring ventilator support will be beneficial for the outcomes of botulism.The present study aimed to establish a new scoring system to predict mechanical ventilation(MV)for botulism patients. METHODS:A single-center retrospective study was conducted to identify risk factors associated with MV in botulism patients from 2007 to 2022.Univariate analysis and multivariate logistic regression analysis were used to screen out risk factors for constructing a prognostic scoring system.The area under the receiver operating characteristic(ROC)curve was calculated. RESULTS:A total of 153 patients with botulism(66 males and 87 females,with an average age of 43 years)were included.Of these,49 patients(32.0%)required MV,including 21(13.7%)with invasive ventilation and 28(18.3%)with non-invasive ventilation.Multivariate analysis revealed that botulinum toxin type,pneumonia,incubation period,degree of hypoxia,and severity of muscle involvement were independent risk factors for MV.These risk factors were incorporated into a multivariate logistic regression analysis to establish a prognostic scoring system.Each risk factor was scored by allocating a weight based on its regression coefficient and rounded to whole numbers for practical utilization([botulinum toxin type A:1],[pneumonia:2],[incubation period≤1 day:2],[hypoxia<90%:2],[severity of muscle involvement:grade II,3;grade III,7;grade IV,11]).The scoring system achieved an area under the ROC curve of 0.82(95%CI 0.75-0.89,P<0.001).At the optimal threshold of 9,the scoring system achieved a sensitivity of 83.7%and a specificity of 70.2%. CONCLUSION:Our study identified botulinum toxin type,pneumonia,incubation period,degree of hypoxia,and severity of muscle involvement as independent risk factors for MV in botulism patients.A score≥9 in our scoring system is associated with a higher likelihood of requiring MV in botulism patients.This scoring system needs to be validated externally before it can be applied in clinical settings.

With the changing disease spectrum, the incidence of tumors is increasing and tends to occur among the youth. The long-term survival rate of patients with cancer has increased significantly, and attention to their reproductive rights is growing. Surgery, chemotherapy, radiotherapy, immunotherapy, and molecular targeted therapy are the conventional treatment methods for cancer, with each exerting different effects on the fertility of patients. Common fertility preservation techniques currently include sperm cryopreservation, embryo and oocyte cryopreservation, ovarian tissue cryopreservation, uterine transplantation, and assisted reproductive technology. This article systematically summarizes the influence of different antitumor treatments on fertility, as well as the current status and prospects of fertility preservation in patients with cancer. This study aims to improve cooperation between clinical oncologists and reproductive medicine doctors to enhance fertility preservation for patients with cancer.