Objective:To investigate the mechanisms of baicalin in treating septic acute liver injury through a combination of network pharmacology and animal experiments.Methods:Thirty male C57BL/6 mice (6 weeks old) were divided into five groups ( n=6): control group (normal saline), model group [lipopolysaccharide (LPS) 10 mg/kg, intraperitoneal injection], low-dose baicalin group (10 mg/kg), high-dose baicalin group (20 mg/kg), and baicalin-only group (20 mg/kg, without LPS). Baicalin was administered orally for 14 consecutive days prior to modeling. Mice were sacrificed 24 h after LPS injection. Alanine transaminase, aspartate transaminase liver tissue histopathology were measured; neutrophil infiltration was visualized using immunofluorescence; mRNA expression levels of interleukin (IL)-1β, IL-17, IL-6, and tumor necrosis factor (TNF)-α were detected by RT-qPCR; and the expression of Toll-like receptor 4 (TLR4) and phosphorylated nuclear factor (NF)-κB proteins were analyzed by Western blotting. Results:In the LPS model group, the ALT, AST, and histopathological injury score were (148.60±22.02) U/L, (81.58±11.59) U/L, and 8.50(7.75, 9.25), respectively. These indicators were significantly reduced in the high-dose baicalin group with (77.90±16.79) U/L, (49.92±14.89) U/L, and 1.00(1.00, 2.25) (all P<0.05). Compared with the LPS group, neutrophil infiltration in the liver of high-dose baicalin group was also significantly reduced [1.18%(0.98%, 1.22%) vs. 6.13%(5.41%, 8.69%), P<0.05]. RT-qPCR results showed that the relative mRNA expression levels of inflammatory cytokines IL-1β [(1.03±0.06) vs. (2.60±0.34)], IL-17 [(1.21±0.12) vs. (2.94 ± 0.39)], IL-6 [(1.37±0.26) vs. (2.73±0.18)], and TNF-α [(1.18±0.10) vs. (3.30±0.92)] were significantly decreased in the high-dose baicalin group compared with the LPS group (all P<0.05). Western blot analysis revealed that the relative protein expression levels of TLR4 [(1.25±0.13) vs. (1.73±0.06)] and phosphorylated NF-κB [(1.25±0.25) vs. (1.79±0.12)] were also significantly lower in the high-dose baicalin group (both P<0.05). Conclusion:Baicalin reduces liver injury in septic mice by downregula-ting the expression of pro-inflammatory cytokines IL-1β, IL-6, TNF-α, and IL-17, potentially through the inhibition of the TLR4/NF-κB signaling pathway.

Objective:To evaluate the cost-effectiveness and impact on mortality of health management services for the elderly aged 65 years and older in national essential public health service project.Methods:Based on the data of county-level medical institutions in Henan Province from 2019 to 2024,the Random Forest Method was used to construct a counterfactual framework to predict the hospitalization expenses under the unmanaged scenario,and then the cost-benefit ratio(BCR)and net income were calculated.Time-dependent Cox proportional hazards model was used to evaluate the effect of health management on all-cause mortality and cardiovascular and cerebrovascular disease mortality in the elderly.Results:A total of 962 955 elderly patients were included,451 119(46.85%)were included in the management group.The average hospitalization cost of the management group was significantly lower than that of the non-management group(P<0.05).Except for 2020-2021,BCRS in 2019 and 2022-2024 were 6.34,2.05,4.45 and 6.60,respectively.The risk of all-cause death was reduced by 76.96%,and the risk of cardiovascular and cerebrovascular death was reduced by 75.57%in the elderly patients included in the management group compared with those not included in the management group.Suggestions:It is necessary to establish a health outcomes-based evaluation system and promote the transformation and upgrading of the service model from single chronic disease management to"integrated health services with multi-disease management".

Objective:To evaluate the cost-effectiveness and impact on mortality of health management services for the elderly aged 65 years and older in national essential public health service project.Methods:Based on the data of county-level medical institutions in Henan Province from 2019 to 2024,the Random Forest Method was used to construct a counterfactual framework to predict the hospitalization expenses under the unmanaged scenario,and then the cost-benefit ratio(BCR)and net income were calculated.Time-dependent Cox proportional hazards model was used to evaluate the effect of health management on all-cause mortality and cardiovascular and cerebrovascular disease mortality in the elderly.Results:A total of 962 955 elderly patients were included,451 119(46.85%)were included in the management group.The average hospitalization cost of the management group was significantly lower than that of the non-management group(P<0.05).Except for 2020-2021,BCRS in 2019 and 2022-2024 were 6.34,2.05,4.45 and 6.60,respectively.The risk of all-cause death was reduced by 76.96%,and the risk of cardiovascular and cerebrovascular death was reduced by 75.57%in the elderly patients included in the management group compared with those not included in the management group.Suggestions:It is necessary to establish a health outcomes-based evaluation system and promote the transformation and upgrading of the service model from single chronic disease management to"integrated health services with multi-disease management".

Objective:To investigate the mechanisms of baicalin in treating septic acute liver injury through a combination of network pharmacology and animal experiments.Methods:Thirty male C57BL/6 mice (6 weeks old) were divided into five groups ( n=6): control group (normal saline), model group [lipopolysaccharide (LPS) 10 mg/kg, intraperitoneal injection], low-dose baicalin group (10 mg/kg), high-dose baicalin group (20 mg/kg), and baicalin-only group (20 mg/kg, without LPS). Baicalin was administered orally for 14 consecutive days prior to modeling. Mice were sacrificed 24 h after LPS injection. Alanine transaminase, aspartate transaminase liver tissue histopathology were measured; neutrophil infiltration was visualized using immunofluorescence; mRNA expression levels of interleukin (IL)-1β, IL-17, IL-6, and tumor necrosis factor (TNF)-α were detected by RT-qPCR; and the expression of Toll-like receptor 4 (TLR4) and phosphorylated nuclear factor (NF)-κB proteins were analyzed by Western blotting. Results:In the LPS model group, the ALT, AST, and histopathological injury score were (148.60±22.02) U/L, (81.58±11.59) U/L, and 8.50(7.75, 9.25), respectively. These indicators were significantly reduced in the high-dose baicalin group with (77.90±16.79) U/L, (49.92±14.89) U/L, and 1.00(1.00, 2.25) (all P<0.05). Compared with the LPS group, neutrophil infiltration in the liver of high-dose baicalin group was also significantly reduced [1.18%(0.98%, 1.22%) vs. 6.13%(5.41%, 8.69%), P<0.05]. RT-qPCR results showed that the relative mRNA expression levels of inflammatory cytokines IL-1β [(1.03±0.06) vs. (2.60±0.34)], IL-17 [(1.21±0.12) vs. (2.94 ± 0.39)], IL-6 [(1.37±0.26) vs. (2.73±0.18)], and TNF-α [(1.18±0.10) vs. (3.30±0.92)] were significantly decreased in the high-dose baicalin group compared with the LPS group (all P<0.05). Western blot analysis revealed that the relative protein expression levels of TLR4 [(1.25±0.13) vs. (1.73±0.06)] and phosphorylated NF-κB [(1.25±0.25) vs. (1.79±0.12)] were also significantly lower in the high-dose baicalin group (both P<0.05). Conclusion:Baicalin reduces liver injury in septic mice by downregula-ting the expression of pro-inflammatory cytokines IL-1β, IL-6, TNF-α, and IL-17, potentially through the inhibition of the TLR4/NF-κB signaling pathway.

ObjectiveRecent successful restoration of the native conformation and function of the complementary-determining regions (CDRs) of antibodies on gold nanoparticles (AuNPs) demonstrates that the era of molecular conformational engineering is dawning. Basically, molecular conformational engineering aims to precisely tune flexible non-functional molecules into special conformations to carry out novel functions, in the same way as protein folding. In order to explore the general applicability of molecular conformational engineering, as well as to reveal the mechanism of protein structure-function relationship, the objective of this work is to restore the native conformation and function of the CDRs of an antibody on platinum nanoparticles (PtNPs). MethodsThe CDR fragment of the anti-lysozyme antibody cAB-lys3, which has no stable conformation or function in free state, was conjugated onto the surface of PtNPs through two Pt-S bonds. The original antigen-recognizing function of the CDR restored on PtNPs was assessed by the specific inhibition of the enzymatic activity of lysozyme by the PtNP-CDR conjugates. ResultsAfter optimization of the peptide density on the surface of PtNPs and modification of PtNPs with polyethylene glycol (PEG), the resulted PtNP-based hybrid artificial antibody (PtNP-10PEG-30P1), dubbed Platinumbody, could bind specifically to lysozyme and significantly inhibit the activity of lysozyme. ConclusionThis is the first time that the fragment of a protein could refold on PtNPs. Together with the previous Goldbody and Silverbody, current work demonstrates that artificial proteins could be generally created by restoration of the native conformation of natural proteins fragments on NPs.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background and Objectives: Quantitative flow ratio (QFR) is an angiography-based technique for functional assessment of coronary artery stenosis. This study investigated the response of QFR to different degree of stenosis severity and its ability to predict the positron emission tomography (PET)-defined myocardial ischemia. Methods: From 109 patients with 185 vessels who underwent both 13 N-ammonia PET and invasive physiological measurement, we compared QFR, fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) for the responses to the different degree of anatomical (percent diameter stenosis [%DS]) and hemodynamic (relative flow reserve [RFR], coronary flow reserve, hyperemic stenosis resistance, and stress myocardial flow) stenosis severity and diagnostic performance against PET-derived parameters. Results: QFR, FFR, and iFR showed similar responses to both anatomic and hemodynamic stenosis severity. Regarding RFR, the diagnostic accuracy of QFR was lower than FFR (76.2% vs. 83.2%, p=0.021) and iFR (76.2% vs. 84.3%, p=0.031). For coronary flow capacity (CFC), QFR showed a lower accuracy than iFR (74.1% vs. 82%, p=0.031) and lower discriminant function than FFR (area under curve: 0.74 vs. 0.79, p=0.044). Discordance between QFR and FFR or iFR was shown in 14.6% of cases and was driven by the difference in %DS and heterogeneous distribution of PET-derived RFR and stress myocardial blood flow. Conclusions QFR demonstrated a similar response to different anatomic and hemodynamic stenosis severity as FFR or iFR. However, its diagnostic performance was inferior to FFR and iFR when PET-derived RFR and CFC were used as a reference.

Background and Objectives: Quantitative flow ratio (QFR) is an angiography-based technique for functional assessment of coronary artery stenosis. This study investigated the response of QFR to different degree of stenosis severity and its ability to predict the positron emission tomography (PET)-defined myocardial ischemia. Methods: From 109 patients with 185 vessels who underwent both 13 N-ammonia PET and invasive physiological measurement, we compared QFR, fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) for the responses to the different degree of anatomical (percent diameter stenosis [%DS]) and hemodynamic (relative flow reserve [RFR], coronary flow reserve, hyperemic stenosis resistance, and stress myocardial flow) stenosis severity and diagnostic performance against PET-derived parameters. Results: QFR, FFR, and iFR showed similar responses to both anatomic and hemodynamic stenosis severity. Regarding RFR, the diagnostic accuracy of QFR was lower than FFR (76.2% vs. 83.2%, p=0.021) and iFR (76.2% vs. 84.3%, p=0.031). For coronary flow capacity (CFC), QFR showed a lower accuracy than iFR (74.1% vs. 82%, p=0.031) and lower discriminant function than FFR (area under curve: 0.74 vs. 0.79, p=0.044). Discordance between QFR and FFR or iFR was shown in 14.6% of cases and was driven by the difference in %DS and heterogeneous distribution of PET-derived RFR and stress myocardial blood flow. Conclusions QFR demonstrated a similar response to different anatomic and hemodynamic stenosis severity as FFR or iFR. However, its diagnostic performance was inferior to FFR and iFR when PET-derived RFR and CFC were used as a reference.

OBJECTIVES: To evaluate residents' knowledge, attitude and behavior towards coronavirus disease 2019 (COVID-19) in Hunan Province, and to explore the factors influencing behaviors. METHODS: A self-designed questionnaire was used to conduct an online survey for 4 139 Hunan residents. The contents included general population information, residents' knowledge, attitude and practice to COVID-19. RESULTS: Mean scores of knowledge, attitude, and behavior were 29.82±3.16, 6.71±1.12, and 14.93±1.45, respectively. Residents had the highest score of major symptoms of COVID-19 (3.96±0.39), but the lowest was the main transmission routes (3.47±0.89). A total of 22.68% of the residents were very or relatively afraid of the outbreak, but 95.22% of the residents had confidence in defeating COVID-19. In behavior dimension, "handling of suspicious symptoms" had the lowest score (3.58±0.75). The behavior implementation rate of "keep the surfaces of household items clean" (80.50%), "doing more exercise, reasonable diet, working and resting regularly" (84.59%), and "avoid hand contacting with eyes, mouth or nose" (89.51%) were relatively low. Pearson correlation coefficient showed that the knowledge, attitude, and practices score were correlated with each other (knowledge vs behavior: =0.366; knowledge vs attitude: =0.041; attitude vs behavior: =0.100; all <0.05). Multiple linear regression analysis showed that the knowledge, attitude and behavior on COVID-19 were mostly influenced by education background (all <0.05), and the independent factors affecting behavior included knowledge and attitude, gender, permanent residence, education background (all <0.05). CONCLUSIONS Residents in Hunan Province have a good knowledge, attitude, and behavior to COVID-19. Nevertheless there are still weak links to be improved in all dimensions. It is necessary to strengthen knowledge and behavior of family protection, and care for residents' psychological health, especially persons with low education degree, male and rural residents.
Betacoronavirus ; China ; Coronavirus Infections ; psychology ; Health Knowledge, Attitudes, Practice ; Humans ; Pandemics ; Pneumonia, Viral ; psychology ; Surveys and Questionnaires

Fourteen compounds were isolated from the ethanol extract of Dalbergiae Odoriferae Lignum by various chromatographic techniques, including column chromatographies on silica gel, Sephadex LH-20 and semi-preparative HPLC. Their structures were determined by spectroscopic techniques as S-3'-hydroxy-7,2',4'-trimethoxyisoxane(1), 2-(2',4'-dimethoxyphenyl)-6-hydroxybenzofuran(2), 2-(2'-hydroxy-4'-methoxyphenyl)-6-methoxybenzofuran(3), 7,2',4'-trimethoxydihydroisoflavone(4), sativanone(5), 3,9-dimethoxy-6H-benzofuro[3,2-c]chromen-6-one(6),(6 aS,11 aS)-homopterocarpin(7),(6 aS,11 aS)-8-hydroxy-3,9-dimethoxypterocarpan(8),(6 aS,11 aS)-3,8,9-trimethoxypterocarpan(9), isodalbergin(10), isoliquiritigenin(11), butein(12), butin(13) and 3,7,4'-trihydroxyflavone(14). Among them, compound 1 was a new compound, while 2 and 3 were new natural products, 6, 8, 9 and 14 were isolated for the first time from Dalbergiae Odoriferae Lignum. Compounds 1-14 were tested for their cytotoxic activity against human hepatoma cell line BEL-7402, human gastric cancer cell line SCG-7901, human lung cancer cell line A549, human chronic myeloid leukemia cell line K562 and HeLa human cervical cancer cellline by MTT method. Compound 1 exhibited significant cytotoxicity with IC_(50) values ranging from 2.85 to 11.62 μg·mL~(-1). In addition, 2, 11 and 12 showed weak cytotoxic activities.
Antineoplastic Agents ; Chromatography, High Pressure Liquid ; HeLa Cells ; Humans