Objective:To investigate the plasma level of interleukin(IL)-37 and assess its regulatory effects on monocyte activity in type 1 diabetes mellitus(T1DM) patients.Methods:This prospective study included 57 T1DM patients and 21 healthy controls who were continuously enrolled from December 2022 to January 2024 at Xinxiang Central Hospital. Plasma and peripheral blood mononuclear cells were isolated. IL-37 and soluble interleukin 1 receptor 8(IL-1R8) levels were measured by enzyme-linked immunosorbent assay(ELISA). Levels of IL-37 receptor subunits in monocytes were analyzed via flow cytometry. Purified monocytes were stimulated with recombinant IL-37 and co-cultured with a human pancreatic β-cell line to assess cytotoxicity, measured by target cell death and cytokine levels. Additionally, monocytes were co-cultured with autologous CD4 + T cells to evaluate antigen presentation by measuring interferon-γ(IFN-γ) and IL-17A secretion. Results:Plasma IL-37 level and IL-37 receptor subunit expression in monocytes were significantly lower in T1DM patients compared to controls(both P<0.001). However, there was no significant difference in soluble IL-1R8 levels between the groups( P=0.457). Monocytes from T1DM patients exhibited increased cytotoxicity, as indicated by higher target cell death and elevated levels of granzyme A, granzyme B, granzyme H, IL-1β, IL-6, and tumor necrosis factor-α( P<0.05). Additionally, monocyte-induced secretion of IFN-γ and IL-17A by CD4 + T cells was elevated in T1DM patients(all P<0.05). Stimulation of T1DM monocytes with recombinant IL-37 reduced target cell death and decreased granzyme B secretion compared to unstimulated monocytes(both P<0.05). However, IL-37 stimulation had no significant effect on other cytokine levels or monocyte-induced IFN-γ and IL-17A secretion( P>0.05). Conclusions:Monocytes exhibit enhanced cytotoxicity and antigen-presenting capacity in T1DM patients. IL-37 reduces monocyte cytotoxicity by inhibiting granzyme B secretion, but does not affect antigen presenting function in T1DM.

Objective:To investigate the correlation between peri-coronary fat attenuation index (FAI) and plaque formation in patients with myocardial bridge (MB) of the left anterior descending artery (LAD) using coronary computed tomography angiography (CCTA) and to develop an optimal predictive model to explore the potential application of FAI in the primary prevention of MB related atherosclerosis.Methods:In this retrospective study, prediction models associated with perivascular fat inflammation were developed and validated using both logistic regression and machine learning (ML) algorithm. A training dataset was collected from 253 patients who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months intervals from one tertiary hospital from January 2007 to April 2021 and had baseline CCTA showing no plaques in LAD MB. The median follow-up time was 3.2 years. According to the same criteria, a total of 75 LAD MB patients from four other hospitals were included to form an independent external validation dataset, with a median follow-up time of 1.8 years. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models.Results:62 patients (24.5%) in the training dataset had proximal plaque formation in LAD MB, while 22 patients (29.3%) in the external validation dataset had plaque formation during the follow-up period. Baseline FAI within the longitudinal distance equal to 30 mm proximal to the MB entrance was an independent predictor ( OR=1.068, P=0.046). According to the model results, ROC curves were plotted. The AUC of Model 1 was 0.822, and the AUCs of Model 2 and 1 were 0.821 and 0.591 in the training dataset. After the DeLong test, the AUC of Model 1 was superior to that of Model 2 ( Z=2.839, P=0.005) and Model 1 ( Z=6.124, P<0.001). These findings were further validated in the external validation dataset, where ML-model 3 yielded the best predictive performance, outperforming the logistic regression-based Model 2 (categorical NRI=0.359, P=0.048; IDI=0.108, P=0.046). Conclusion:FAI measured within the 30 mm proximal to the entrance of MBs due to its prone to plaque development is an independent predictor for atherosclerotic plaque formation. The ML-prediction model based on a decision tree algorithm combines FAI, MB anatomical features, and patient risk factors, which is beneficial for patients undergoing routine CCTA examination to identify inflamed coronary arteries in advance and guide the clinical adoption of more targeted preventive treatment, including anti-inflammatory treatment.

Objective:To evaluate the effect of an obstetric artificial intelligence (AI) assistant combined with a family-centered health education model on maternal self-care ability, comfort status, and spousal caregiving ability.Methods:This prospective, single-center, parallel randomized controlled trial used 1∶1 randomization and was conducted as a superiority trial. Postpartum mothers and their spouses admitted to family-style single rooms at the Third Affiliated Hospital of Guangzhou Medical University between October 2024 and April 2025 were enrolled and randomly assigned to control or intervention groups using a random number table. The control group received conventional health education, while the intervention group received conventional health education plus the AI-assisted family-centered model. Interventions were administered at 2 hours, 6 hours, and 24 hours postpartum, and before discharge. Outcomes included maternal self-care ability, comfort status, and spousal caregiving ability, which were assessed at 2 hours postpartum and before discharge. Data were analyzed using independent and paired t-tests and Chi square tests. Results:Of the 88 mother-spouse dyads initially recruited, four were excluded due to mother-infant separation (e.g., neonatal jaundice), leaving 84 dyads (42 per group). After the intervention, the intervention group showed significantly higher maternal self-care ability scores [(192.81±13.80) vs. (181.00±21.41) scores, t=3.00], higher maternal comfort scores [(104.43±7.52) vs. (96.00±14.29) scores, t=3.38], and better spousal caregiving ability [(6.07±3.13) vs. (9.50±5.02) scores, t=－3.76] compared to the control group (all P<0.05). Conclusion:The obstetric AI assistant combined with a family-centered health education model significantly improved maternal self-care ability and comfort status, as well as spousal caregiving ability.

Objective:To investigate the correlation between peri-coronary fat attenuation index (FAI) and plaque formation in patients with myocardial bridge (MB) of the left anterior descending artery (LAD) using coronary computed tomography angiography (CCTA) and to develop an optimal predictive model to explore the potential application of FAI in the primary prevention of MB related atherosclerosis.Methods:In this retrospective study, prediction models associated with perivascular fat inflammation were developed and validated using both logistic regression and machine learning (ML) algorithm. A training dataset was collected from 253 patients who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months intervals from one tertiary hospital from January 2007 to April 2021 and had baseline CCTA showing no plaques in LAD MB. The median follow-up time was 3.2 years. According to the same criteria, a total of 75 LAD MB patients from four other hospitals were included to form an independent external validation dataset, with a median follow-up time of 1.8 years. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models.Results:62 patients (24.5%) in the training dataset had proximal plaque formation in LAD MB, while 22 patients (29.3%) in the external validation dataset had plaque formation during the follow-up period. Baseline FAI within the longitudinal distance equal to 30 mm proximal to the MB entrance was an independent predictor ( OR=1.068, P=0.046). According to the model results, ROC curves were plotted. The AUC of Model 1 was 0.822, and the AUCs of Model 2 and 1 were 0.821 and 0.591 in the training dataset. After the DeLong test, the AUC of Model 1 was superior to that of Model 2 ( Z=2.839, P=0.005) and Model 1 ( Z=6.124, P<0.001). These findings were further validated in the external validation dataset, where ML-model 3 yielded the best predictive performance, outperforming the logistic regression-based Model 2 (categorical NRI=0.359, P=0.048; IDI=0.108, P=0.046). Conclusion:FAI measured within the 30 mm proximal to the entrance of MBs due to its prone to plaque development is an independent predictor for atherosclerotic plaque formation. The ML-prediction model based on a decision tree algorithm combines FAI, MB anatomical features, and patient risk factors, which is beneficial for patients undergoing routine CCTA examination to identify inflamed coronary arteries in advance and guide the clinical adoption of more targeted preventive treatment, including anti-inflammatory treatment.

Objective:To investigate the plasma level of interleukin(IL)-37 and assess its regulatory effects on monocyte activity in type 1 diabetes mellitus(T1DM) patients.Methods:This prospective study included 57 T1DM patients and 21 healthy controls who were continuously enrolled from December 2022 to January 2024 at Xinxiang Central Hospital. Plasma and peripheral blood mononuclear cells were isolated. IL-37 and soluble interleukin 1 receptor 8(IL-1R8) levels were measured by enzyme-linked immunosorbent assay(ELISA). Levels of IL-37 receptor subunits in monocytes were analyzed via flow cytometry. Purified monocytes were stimulated with recombinant IL-37 and co-cultured with a human pancreatic β-cell line to assess cytotoxicity, measured by target cell death and cytokine levels. Additionally, monocytes were co-cultured with autologous CD4 + T cells to evaluate antigen presentation by measuring interferon-γ(IFN-γ) and IL-17A secretion. Results:Plasma IL-37 level and IL-37 receptor subunit expression in monocytes were significantly lower in T1DM patients compared to controls(both P<0.001). However, there was no significant difference in soluble IL-1R8 levels between the groups( P=0.457). Monocytes from T1DM patients exhibited increased cytotoxicity, as indicated by higher target cell death and elevated levels of granzyme A, granzyme B, granzyme H, IL-1β, IL-6, and tumor necrosis factor-α( P<0.05). Additionally, monocyte-induced secretion of IFN-γ and IL-17A by CD4 + T cells was elevated in T1DM patients(all P<0.05). Stimulation of T1DM monocytes with recombinant IL-37 reduced target cell death and decreased granzyme B secretion compared to unstimulated monocytes(both P<0.05). However, IL-37 stimulation had no significant effect on other cytokine levels or monocyte-induced IFN-γ and IL-17A secretion( P>0.05). Conclusions:Monocytes exhibit enhanced cytotoxicity and antigen-presenting capacity in T1DM patients. IL-37 reduces monocyte cytotoxicity by inhibiting granzyme B secretion, but does not affect antigen presenting function in T1DM.

Objective:To evaluate the effect of an obstetric artificial intelligence (AI) assistant combined with a family-centered health education model on maternal self-care ability, comfort status, and spousal caregiving ability.Methods:This prospective, single-center, parallel randomized controlled trial used 1∶1 randomization and was conducted as a superiority trial. Postpartum mothers and their spouses admitted to family-style single rooms at the Third Affiliated Hospital of Guangzhou Medical University between October 2024 and April 2025 were enrolled and randomly assigned to control or intervention groups using a random number table. The control group received conventional health education, while the intervention group received conventional health education plus the AI-assisted family-centered model. Interventions were administered at 2 hours, 6 hours, and 24 hours postpartum, and before discharge. Outcomes included maternal self-care ability, comfort status, and spousal caregiving ability, which were assessed at 2 hours postpartum and before discharge. Data were analyzed using independent and paired t-tests and Chi square tests. Results:Of the 88 mother-spouse dyads initially recruited, four were excluded due to mother-infant separation (e.g., neonatal jaundice), leaving 84 dyads (42 per group). After the intervention, the intervention group showed significantly higher maternal self-care ability scores [(192.81±13.80) vs. (181.00±21.41) scores, t=3.00], higher maternal comfort scores [(104.43±7.52) vs. (96.00±14.29) scores, t=3.38], and better spousal caregiving ability [(6.07±3.13) vs. (9.50±5.02) scores, t=－3.76] compared to the control group (all P<0.05). Conclusion:The obstetric AI assistant combined with a family-centered health education model significantly improved maternal self-care ability and comfort status, as well as spousal caregiving ability.

Objective:To investigate the clinicopathological characteristics of oxyntic gland adenoma(OGA)and gastric adenocarcinoma of the fundic gland type(GA-FG).Methods:Six cases of fundic gland-type tumors(three OGA and three GA-FG)diagnosed at the Fujian Cancer Hospital between August 2020 and February 2023 were retrospectively analyzed.The clinical data,endoscopic features,pathological charac-teristics,immunohistochemical results,treatment,and prognosis were analyzed.Results:Six patients with an average age of 57 years,in-cluding one male and five females,were mainly affected in the gastric fundus and body,with the superficial elevated type being the most common.The pathological features of gastric gland-type tumors are mostly located in the deep layer of the gastric mucosa,showing a dis-ordered glandular structure mainly composed of chief cell-type cells.There were three cases of OGA and three cases of GA-FG.Immunohis-tochemical results showed that pepsinogen 1 was positive in five cases,mucin 6(MUC6)in five cases,synaptophysin(Syn)in six cases,chro-mogranin(CgA)was negative in all cases,and Ki-67 was less than 10%.Conclusions:The incidences of OGA and GA-FG are low,and there is no obvious endoscopic specificity.Endoscopy physicians have an insufficient understanding,which can easily lead to misdiagnoses and missed diagnoses.Immunohistochemistry is helpful for the differential diagnosis,and endoscopic mucosal resection or stripping is the pre-ferred treatment option.

The variable domain of heavy-chain antibody (VHH) has been developed widely in drug therapy, diagnosis, and research. Escherichia coli is the most popular expression system for VHH production, whereas low bioactivity occurs sometimes. Mammalian cells are one of the most ideal hosts for VHH expression at present. To improve the yield of VHH in Expi293F cells, we optimized the signal peptide (SP) and codons of VHH. Firstly, the fusion protein VHH1-Fc was used to screen SPs. The SP IFN-α2 showed the highest secretion as quantified by enzyme-linked immunosorbent assay (ELISA). Subsequently, codon optimization by improving GC3 and GC content doubled the yield of VHH1 and kept its binding activity to Senecavirus A (SVA). Finally, the mean yields of other 5 VHHs that fused with SP IFN-α2 and codon-optimized were over 191.6 mg/L, and these VHHs had high recovery and high purity in the culture supernatant. This study confirms that SP IFN-α2 and codon optimization could produce VHHs in Expi293F cells efficiently, which provides a reference for the large-scale production of VHHs.
Codon/genetics* ; Protein Sorting Signals/genetics* ; Escherichia coli/metabolism* ; Humans ; Recombinant Fusion Proteins/biosynthesis* ; Interferon-alpha/metabolism* ; Immunoglobulin Heavy Chains/immunology* ; Cell Line ; Immunoglobulin Variable Region/immunology*

Background::Data on the glycemic profile of pregnant women with gestational diabetes mellitus (GDM) during the perinatal period are sparse. This study described the intrapartum and early postpartum glucose profiles among pregnant women with GDM, and analyzed factors potentially affecting glycemic parameters during the period.Methods::This was a prospective observational study conducted from March 2020 to November 2021. Pregnant women with GDM receiving lifestyle interventions alone during pregnancy and matched women with non-diabetic pregnancies (NDPs) were enrolled from among patients admitted to the obstetrics department for childbirth. Glucose monitoring was performed via a flash glucose monitoring (FGM) system on admission, and glucose readings during labor and early postpartum were analyzed. The clinical characteristics and FGM-based parameters of participants in the two groups were compared.Results::A total of 124 participants (mean age: 29.5 ± 3.5 years, 92 [74.2%] primipara) were included in the final analysis. A total of 17,571 glucose readings were retrieved. There were no significant differences in clinical characteristics between the GDM ( n = 60) and NDP ( n = 64) groups. The average glucose level was 92.2 mg/dL, and the level was higher in the GDM group (95.5 ± 12.1 mg/dL vs. 89.1 ± 13.4 mg/dL, P = 0.008) during the intrapartum and early postpartum periods. The data were split into the intrapartum period (from the start of labor to delivery of the placenta) and the early postpartum period (within 24 h after placental delivery) for analysis. During intrapartum, women with GDM exhibited glycemic profiles and fluctuations similar to those in the NDP group. However, women with GDM had higher postpartum glucose levels (97.7 ± 13.4 mg/dL vs. 90.8 ± 15.3 mg/dL, P = 0.009), a longer time spent >140 mg/dL (8.7 ± 9.3% vs. 5.9 ± 10.3%, P = 0.011), and greater glycemic fluctuations than those with NDP. Postpartum hyperglycemia in GDM might be associated with high parity and postprandial glucose abnormalities in GDM screening tests. Conclusion::Compared to those with normoglycemia, pregnant women with GDM receiving lifestyle interventions alone had similar intrapartum glucose profiles but higher early postpartum glucose levels and greater glucose variability, providing evidence for modification of the current perinatal glucose monitoring strategy for GDM.Trial Registration::ChiCTR.org.cn, ChiCTR2000030972

Objective: To investigate the change of serum microRNA-15 a(miR-15 a) expression level in patients with gestational diabetes mellitus and its relationship with maternal and infant adverse outcomes. Methods: 143 cases of gestational diabetes mellitus patients were selected as the study group, and 124 healthy pregnant women were selected as the control group, and the expression levels of serum miR-15 a of the two groups were detected by real time fluorescent quantitative reverse transcription polymerase chain reaction(qRT-PCR). Follow up to delivery, the adverse maternal and infant outcomes of the two groups were observed, and the relationship between the expression level of serum miR-15 a and the adverse outcomes of maternal and infant in gestational diabetes mellitus was analyzed by multivariate Logistic regression analysis method. Results: The expression level of serum miR-15 a in the study group was higher than that in the control group, and the difference was statistically significant(P<0.05). The incidence rates of abortion, premature rupture of membranes, polyhydramnios, postpartum hemorrhage, postpartum infection, premature infants, macrosomia, fetal distress, neonatal asphyxia, neonatal respiratory distress syndrome and neonatal hypoglycemia and the total incidence rates of maternal and perinatal adverse outcomes in the study group were higher than those in the control group(P<0.05), but there was no significant difference in the incidence rate of fetal death between the study group and the control group(P>0.05). The proportions of age>35 years old, pre-pregnancy body mass index ≥24.0 kg/m2, history of adverse pregnancy and childbirth and poor blood glucose control and the expression level of serum miR-15 a in poor maternal outcome group and poor perinatal outcome group were higher than those in good maternal outcome group and good perinatal outcome group(P<0.05), and multivariate Logistic regression analysis showed that the above indicators were the risk factors of adverse maternal and infant outcomes in patients with gestational diabetes mellitus(P<0.05). Conclusion The expression level of serum miR-15 a in gestational diabetes mellitus patients abnormally increases, and it can increase the risk of adverse maternal and infant outcomes, which is closely related to the occurrence of adverse maternal and infant outcomes. Besides, the age, pre-pregnancy body mass index, adverse pregnancy history, blood glucose control also have a certain impacts on the occurrence of adverse maternal and infant outcomes in patients with gestational diabetes mellitus.