Objective:To discuss the relationship between the systolic blood pressure (SBP) circadian rhythm and blood pressure variability (BPV) and the left ventricular ejection fraction (LVEF) among 178 patients with hypertension.Methods:This article was a retrospective study. Totally 178 patients with hypertension from January 2020 to January 2022 were selected based on incorporated basis. 24-hour dynamic blood pressure monitoring and echocardiography examination were performed. Data such as patients' SBP circadian rhythm, BPV, heart ultrasound heart dynamic maps were collected, and the relationship between SBP circadian rhythm and BPV and their LVEF was explored.Results:Among the 178 patients, the decreased proportion of SBP circadian rhythm>the proportion of existed SBP circadian rhythm>the proportion of inverted SBP circadian rhythm>the proportion of disappearance of SBP circadian rhythm; patients with disappearance of SBP circadian rhythm were the youngest (63.8 ± 14.5) years old, and patients with inverted SBP circadian rhythm were the oldest (71.5 ± 9.4) years old ( P<0.05); the 24-hour systolic blood pressure standard deviation of SBP circadian rhythm was observed in patients with (13.1 ± 2.8) mmHg

Objective: To analyze the nucleic acid load of human parvovirus B19 in major commercially available blood products in China, including human albumin, human intravenous immunoglobulin, human rabies immunoglobulin and various coagulation factor products, aiming to provide evidence for improving blood product manufacturing processes and quality control of source plasma. Methods: A total of 98 batches of coagulation factor products were tested for human parvovirus B19 nucleic acid using real-time fluorescent quantitative PCR, including 42 batches of human prothrombin complex, 35 batches of human coagulation factor Ⅷ, and 21 batches of human fibrinogen. Additionally, 6 batches of human albumin, 6 batches of human intravenous immunoglobulin, and 38 batches of human rabies immunoglobulin were tested for human parvovirus B19 nucleic acid. Results: Human parvovirus B19 nucleic acid were undetectable in human albumin, human intravenous immunoglobulin and human rabies immunoglobulin. Among the 98 batches of coagulation factor products tested for human parvovirus B19 nucleic acid, B19 nucleic acid reactivity rate was 69.0% (29/42) for human prothrombin complex batches, but nucleic acid concentration were all significantly lower than 10 IU/mL. The reactivity rate of B19 nucleic acid in 35 batches of human coagulation factor Ⅷ was 48.6% (17/35), with nucleic acid concentration all below 10 IU/mL. The reactivity rate of B19 nucleic acid in 21 batches of human fibrinogen was 61.9% (13/21), with nucleic acid concentration all below 10 IU/mL. Conclusion: No human parvovirus B19 has been detected in human albumin, human intravenous immunoglobulin, or human rabies immunoglobulin. Human parvovirus B19 nucleic acid may exist in commercially available coagulation factor products, highlighting the need for enhanced screening of human parvovirus B19 nucleic acid in these products. It is also recommended that B19 viral nucleic acid testing be conducted on source plasma, particularly for coagulation factor products.

Objective: To analyze the nucleic acid load of human parvovirus B19 in major commercially available blood products in China, including human albumin, human intravenous immunoglobulin, human rabies immunoglobulin and various coagulation factor products, aiming to provide evidence for improving blood product manufacturing processes and quality control of source plasma. Methods: A total of 98 batches of coagulation factor products were tested for human parvovirus B19 nucleic acid using real-time fluorescent quantitative PCR, including 42 batches of human prothrombin complex, 35 batches of human coagulation factor Ⅷ, and 21 batches of human fibrinogen. Additionally, 6 batches of human albumin, 6 batches of human intravenous immunoglobulin, and 38 batches of human rabies immunoglobulin were tested for human parvovirus B19 nucleic acid. Results: Human parvovirus B19 nucleic acid were undetectable in human albumin, human intravenous immunoglobulin and human rabies immunoglobulin. Among the 98 batches of coagulation factor products tested for human parvovirus B19 nucleic acid, B19 nucleic acid reactivity rate was 69.0% (29/42) for human prothrombin complex batches, but nucleic acid concentration were all significantly lower than 10 IU/mL. The reactivity rate of B19 nucleic acid in 35 batches of human coagulation factor Ⅷ was 48.6% (17/35), with nucleic acid concentration all below 10 IU/mL. The reactivity rate of B19 nucleic acid in 21 batches of human fibrinogen was 61.9% (13/21), with nucleic acid concentration all below 10 IU/mL. Conclusion: No human parvovirus B19 has been detected in human albumin, human intravenous immunoglobulin, or human rabies immunoglobulin. Human parvovirus B19 nucleic acid may exist in commercially available coagulation factor products, highlighting the need for enhanced screening of human parvovirus B19 nucleic acid in these products. It is also recommended that B19 viral nucleic acid testing be conducted on source plasma, particularly for coagulation factor products.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases.Accurately predicting microbe-disease interactions(MDIs)offers critical insights for disease intervention and pharmaceutical research.Current advanced AI-based technologies automatically generate robust representations of microbes and diseases,enabling effec-tive MDI predictions.However,these models continue to face significant challenges.A major issue is their reliance on complex feature extractors and classifiers,which substantially diminishes the models' generalizability.To address this,we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer po-tential MDIs.Initially,we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation.Secondly,we employ decoupled representation learning technology,compelling the graph neural network(GNN)to independently learn the weights for each feature subspace,thus enhancing its expressive power.Finally,we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN,reducing information loss due to occlusion.Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models.This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research.Code and data are accessible at:https://github.com/shmildsj/MDI-IFDRL.

Objective To investigate the correlation between novel bone metabolism markers and the degree of aortic calcification as well as cardiovascular event risk in elderly patients treated by PD.Methods A prospective trial was conducted on 230 elderly patients receiving continuous am-bulatory PD in our department from February 2022 to February 2024.According to the occur-rence of cardiovascular events during dialysis treatment,they were divided into a cardiovascular event group(n=92)and a control group(n=138).Relevant clinical data were collected,aortic calcification was assessed using AAC scores,and serum levels of bone metabolism markers,inclu-ding osteoprotegerin,TRACP,and PINP were measured.Results The serum levels of osteoprote-gerin,TRACP and PINP were significantly higher in the cardiovascular event group than the con-trol group(P＜0.01).The cardiovascular event group had obviously severe calcification and higher AAC score than the control group(P＜0.01).The serum levels of the three bone metabolism markers were notably higher in the patients with severe calcification than those with moderate calcification,followed by mild calcification in turn(P＜0.01).Spearman correlation analysis indi-cated that the levels of the three indicators were positively correlated with the degree of aortic cal-cification in elderly PD patients(r=0.465,P=0.000;r=0.396,P=0.000;r=0.434,P=0.000).Multivariate logistic regression analysis showed that these three indicators were risk factors for cardiovascular events in elderly PD patients(P＜0.01).Conclusion The three bone metabolism markers are significantly correlated with aortic calcification severity and cardiovascular event risk in elderly PD patients.Monitoring these marker levels may be helpful for the assessment and man-agement of cardiovascular risk.

Cerebral edema is characterized by fluid accumulation, and the glymphatic system (GS) plays a pivotal role in regulating fluid transport. Using the Tenecteplase system, magnesium salt of salvianolic acid B/ginsenoside Rg1 (SalB/Rg1) was injected intravenously into mice 4.5 h after middle cerebral artery occlusion and once every 24 h for the following 72 h. GS function was assessed by Evans blue imaging, near-infrared fluorescence region II (NIR-II) imaging, and magnetic resonance imaging (MRI). SalB/Rg1 had significant effects on reducing the infarct volume and hemorrhagic transformation score, improving neurobehavioral function, and protecting tissue structure, especially inhibiting cerebral edema. Meanwhile, the influx/efflux drainage of GS was enhanced by SalB/Rg1 according to NIR-II imaging and MRI. SalB/Rg1 inhibited matrix metalloproteinase-9 (MMP-9) activity, reduced cleaved β-dystroglycan (β-DG), and stabilized aquaporin-4 (AQP4) polarity, which was verified by colocalization with CD31. Our findings indicated that SalB/Rg1 treatment enhances GS function and attenuates cerebral edema, accompanying the regulation of the MMP9/β-DG/AQP4 pathway.
Animals ; Ginsenosides/administration & dosage* ; Brain Edema/etiology* ; Male ; Benzofurans/administration & dosage* ; Glymphatic System/diagnostic imaging* ; Mice ; Infarction, Middle Cerebral Artery/drug therapy* ; Aquaporin 4/metabolism* ; Disease Models, Animal ; Mice, Inbred C57BL ; Matrix Metalloproteinase 9/metabolism* ; Neuroprotective Agents/pharmacology* ; Depsides

Corticotomy is a clinical procedure to accelerate orthodontic tooth movement characterized by the regional acceleratory phenomenon (RAP). Despite its therapeutic effects, the surgical risk and unclear mechanism hamper the clinical application. Numerous evidences support macrophages as the key immune cells during bone remodeling. Our study discovered that the monocyte-derived macrophages primarily exhibited a pro-inflammatory phenotype that dominated bone remodeling in corticotomy by CX3CR1^CreERT2; R26^GFP lineage tracing system. Fluorescence staining, flow cytometry analysis, and western blot determined the significantly enhanced expression of binding immunoglobulin protein (BiP) and emphasized the activation of sensor activating transcription factor 6 (ATF6) in macrophages. Then, we verified that macrophage specific ATF6 deletion (ATF6^f/f; CX3CR1^CreERT2 mice) decreased the proportion of pro-inflammatory macrophages and therefore blocked the acceleration effect of corticotomy. In contrast, macrophage ATF6 overexpression exaggerated the acceleration of orthodontic tooth movement. In vitro experiments also proved that higher proportion of pro-inflammatory macrophages was positively correlated with higher expression of ATF6. At the mechanism level, RNA-seq and CUT&Tag analysis demonstrated that ATF6 modulated the macrophage-orchestrated inflammation through interacting with Tnfα promotor and augmenting its transcription. Additionally, molecular docking simulation and dual-luciferase reporter system indicated the possible binding sites outside of the traditional endoplasmic reticulum-stress response element (ERSE). Taken together, ATF6 may aggravate orthodontic bone remodeling by promoting Tnfα transcription in macrophages, suggesting that ATF6 may represent a promising therapeutic target for non-invasive accelerated orthodontics.
Animals ; Mice ; Macrophages/metabolism* ; Tumor Necrosis Factor-alpha/genetics* ; Tooth Movement Techniques/methods* ; Activating Transcription Factor 6/metabolism* ; Bone Remodeling ; Flow Cytometry ; Blotting, Western

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.

OBJECTIVE: Exposure to polycyclic aromatic hydrocarbons (PAHs) or metal(loid)s individually has been associated with neural tube defects (NTDs). However, the impacts of PAH and metal(loid) co-exposure and potential interaction effects on NTD risk remain unclear. We conducted a case-control study in China among population with a high prevalence of NTDs to investigate the combined effects of PAH and metal(loid) exposures on the risk of NTD. METHODS: Cases included 80 women who gave birth to offspring with NTDs, whereas controls were 50 women who delivered infants with no congenital malformations. We analyzed the levels of placental PAHs using gas chromatography and mass spectrometry, PAH-DNA adducts with ³²P-post-labeling method, and metal(loid)s with an inductively coupled plasma mass spectrometer. Unconditional logistic regression was employed to estimate the associations between individual exposures and NTDs. Least absolute shrinkage and selection operator (LASSO) penalized regression models were used to select a subset of exposures, while additive interaction models were used to identify interaction effects. RESULTS: In the single-exposure models, we found that eight PAHs, PAH-DNA adducts, and 28 metal(loid)s were associated with NTDs. Pyrene, selenium, molybdenum, cadmium, uranium, and rubidium were selected through LASSO regression and were statistically associated with NTDs in the multiple-exposure models. Women with high levels of pyrene and molybdenum or pyrene and selenium exhibited significantly increased risk of having offspring with NTDs, indicating that these combinations may have synergistic effects on the risk of NTDs. CONCLUSION Our findings suggest that individual PAHs and metal(loid)s, as well as their interactions, may be associated with the risk of NTDs, which warrants further investigation.
Humans ; Neural Tube Defects/chemically induced* ; Polycyclic Aromatic Hydrocarbons/adverse effects* ; Female ; Case-Control Studies ; China/epidemiology* ; Adult ; Pregnancy ; Environmental Pollutants ; Maternal Exposure/adverse effects* ; Metals/toxicity* ; Young Adult ; Risk Factors

Objective:To investigate the application effect of a rehabilitation diary combined with self-identity psychological nursing in adolescent patients with major depressive disorder (MDD), and to provide a reference for optimizing intervention strategies for adolescent MDD.Methods:A prospective randomized controlled trial was conducted. A total of 110 adolescent patients with MDD admitted to Zhejiang Provincial People's Hospital from July 1, 2024, to January 31, 2025 were selected as research subjects by continuous sampling method. Fifty-five patients who received routine nursing care from July 1, 2024, to September 30, 2024, were assigned to the control group. Fifty-five patients who received a rehabilitation diary combined with self-identity psychological nursing from October 1, 2024, to January 31, 2025, were assigned to the combined group. The improvement status of MDD symptoms (Montgomery-Asberg Depression Rating Scale), interpersonal relationship (Interpersonal Relationship Assessment Scale), social function (Social Disability Screening Schedule), et al, were compared between groups.Results:A total of 110 patients were included. In the control group, there were 29 males and 26 females, aged (15.38 ± 1.35) years old. In the combined group, there were 28 males and 27 females, aged (15.17 ± 1.36) years old. Before the intervention, there were no statistically significant differences in the improvement of MDD symptoms, interpersonal relationships, and social functions between the two groups of patients (all P>0.05). After 4 and 8 weeks of intervention, the scores of the Montgomery-Asberg Depression Rating Scale and the Social Disability Screening Schedule in the combined group were 25.47 ± 4.12, 22.35 ± 4.29, 12.41 ± 1.68, 11.02 ± 1.32, respectively, which were lower than those of the control group 30.16 ± 5.32, 27.29 ± 4.61, 14.18 ± 1.32, 12.45 ± 2.27, the differences were statistically significant ( t values were 4.04-6.49, all P<0.05). After 8 weeks of intervention, the scores of interpersonal communication, interpersonal friendship, dealing with people and matters, opposite-sex interaction of the Interpersonal Relationship Assessment Scale in the combined group were 4.62 ± 0.53, 4.28 ± 0.38, 4.35 ± 0.61, 3.97 ± 0.28 respectively, which were lower than those of the control group 5.37 ± 0.41, 5.32 ± 0.79, 5.28 ± 0.53, 4.86 ± 0.64, and the differences were statistically significant ( t values were 8.30-9.45, all P<0.05). Conclusions:Rehabilitation diary combined with self-identity psychological nursing intervention for adolescent MDD patients can improve the depression symptoms, interpersonal relationship and social function, and enhance the treatment compliance and quality of life.