Objective To elucidate the molecular mechanisms underlying the effects of Kanggan Mixture(KGM)on key targets in rats with acute lung injury,network pharmacology and in vivo micro-CT experiments were employed.Methods Network pharmacology was utilized to forecast the target genes and principal pathways involved in the intervention of KGM in acute lung injury(ALI).Lipopolysaccharide(LPS)-induced ALI rat models were utilized,and micro-computed tomography(micro-CT)was employed to evaluate the extent of lung injury in vivo.Experiments were conducted to verify the intervention mechanism of KGM on ALI rats.Results The findings revealed that 190 chemical constituents were identified from KGM,and 579 potential targets and 204 pathways associated with KGM's impact on ALI were predicted.The principal components of KGM,such as quercetin,luteolin,kaempferol,betulin,and lupenone,exhibit anti-viral,anti-inflammatory,and immunomodulatory properties by targeting TP53,AKT1,SRC,EP300,and STAT3,and modulating the FoxO signaling pathway,TNF signaling pathway,PI3K-Akt signaling pathway,and MAPK signaling pathway,demonstrating an influence on acute lung injury.Micro-CT results suggest that KGM can improve lung texture enhancement and lung injury in ALI rats,with an increase in end-expiratory lung volume(inspiratory phase-expiratory phase).The HE and W/D ratio results indicate that KGM can improve lung tissue injury and reduce the lung tissue wet/dry weight ratio(P<0.01).Blood cell analysis results show that the anti-inflammatory agent can decrease the WBC(white blood cell count)and N%(neutrophil percentage)in ALI rats'blood(P<0.01),and increase lymphocytes(P<0.05).Real-time quantitative PCR,WES,and immunohistochemistry results suggest that KGM can decrease the mRNA expression,protein distribution,and protein expression levels of TP53,AKT1,SRC,EP300,and STAT3 in lung tissue of ALI rats(P<0.05).Conclusion KGM has a certain intervention effect on acute lung injury,mainly achieved through the core targets STAT3,EP300,SRC,AKT1,and TP53.

ObjectiveTo observe the efficacy of Huoxue Jiedu Formulas （活血解毒方药， HJF） as an adjunctive treatement for patients with binding of stasis and toxin syndrome during the vulnerable period after acute myocardial infarction （AMI） percutaneous coronary intervention （PCI） surgery， and to explore its potential mechanism from the perspective of serum neutrophil extracellular traps （NETs）. MethodsA total of 129 patients with binding of stasis and toxin syndrome within 6 months after PCI for AMI were enrolled and divided into a treatment group （65 cases） and a control group （64 cases） based on patients' willingness to take Chinese herbal medicine. The control group received standard western medical therapy alone， while the treatment group additionally received HJF， one dose daily. Both groups were treated for four weeks. Before and after treatment， TCM syndrome scores were assessed. Seattle angina questionnaire （SAQ） was used to record angina stability and frequency scores， while the short form-36 health survey （SF-36） was employed to assess quality of life across eight dimensions， including physical functioning， role-physical， bodily pain， general health， vitality， social functioning， role-emotional， and mental health. The Pittsburgh sleep quality index （PSQI） was used to evaluate sleep quality， and the patient health questionnaire-15 （PHQ-15） was used to assess psychosomatic symptoms； Duke activity status index （DASI） was used to measure daily physical activity. Serum levels of neutrophil extracellular traps （NET） markers including myeloperoxidase-DNA （MPO-DNA）， neutrophil elastase-DNA （NE-DNA）， and citrullinated histone H3 （CitH3） were measured in 20 patients from the treatment group. ResultsAfter treatment， TCM syndrome score， PSQI score and PHQ-15 score in both groups significantly decreased， while DASI score， angina stability and frequency scores， and all eight dimensions of the SF-36 scale significantly increased （P＜0.05）. Compared to the control group， the treatment group had significantly lower TCM syndrome scores and significantly higher DASI， angina stability and frequency scores （P＜0.05）， as well as higher scores in the SF-36 dimensions of physical functioning， role-physical， social functioning， bodily pain， and vitality （P＜0.05）. After treatment， serum levels of MPO-DNA， CitH3， and NE-DNA in the treatment group were significantly reduced （P＜0.05）. ConclusionHJF combined with conventional therapy can significantly improve angina symptoms， TCM syndrome scores， and psychosomatic conditions in patients with binding of stasis and toxin syndrome during the vulnerable period after AMI. It also enhances quality of life， sleep quality， and daily physical activity. The underlying mechanism may be associated with the inhibition of serum NETs level.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

Objective:To explore the clinicopathologic features of early-onset pancreatic cancer (EOPC) and its correlation with dyslipidemia and prognostic analysis.Methods:This is a retrospective cohort study. Clinical and pathological data of 455 patients with pancreatic cancer who underwent radical surgery from January 2013 to September 2020 in the Department of Pancreatic Surgery, Qilu Hospital, Shandong University were retrospectively collected. According to the onset age≤50 years, the patients were divided into EOPC group(67 cases) and later-onset pancreatic cancer (LOPC) group(388 cases). There were 48 males and 19 females in the EOPC group, aged (44.4±5.7) years(range: 28.0 to 50.0 years); and 230 males and 158 females in the LOPC group, aged (63.0±7.2)years (range: 51.0 to 86.0 years). EOPC was divided into two groups according to the blood lipid status: dyslipidemia (50 cases) and normal (17 cases). General information, blood lipid data, clinicopathological parameters and follow-up information were collected. χ2 test, Mann-Whitney U test and Logistic regression analysis were used to evaluate the difference or correlation between groups, and Cox regression analysis and Kaplan-Meier survival curve were used to analyze the impact of EOPC and dyslipidemia on the prognosis. Propensity score matching was used to match two groups of patients in a 1∶1 ratio using nearest neighbor matching, with a caliper set at 0.05. Results:Compared with LOPC group, EOPC group with a higher proportion of patients with body mass index ≥24 kg/m 2 (55.8%(24/43) vs. 38.7%(113/292), χ2=4.542 ,P=0.033), dyslipidemia(74.6%(50/67) vs. 57.7%(224/388), χ2=6.808, P=0.009), pancreatic head cancer (73.1% (49/67) vs. 60.0%(231/385), χ2=4.176, P=0.041) and a lower proportion of patients with type 2 diabetes (9.0%(6/67) vs. 24.2%(94/388), χ2=7.771, P=0.005) and hypertension (9.0%(6/67) vs. 33.0%(128/388), χ2=15.885, P<0.01). Compared the proportion of dyslipidemia in the two groups,there was a higher proportion of high density lipoprotein cholesterol(HDL-C) abnormality in the EOPC group (65.7%(44/67) vs. 42.8%(166/388), χ2=12.044, P<0.01), whereas there was no significant difference in other lipid indices. Kaplan-Meier survival curve analysis of dyslipidemia did not have a significant effect on the prognosis of EOPC patients ( P=0.430). The results of further Logistic regression analysis showed that gender( OR=6.445 (95% CI: 1.692 to 24.548), P=0.006) and tumor location ( OR=5.352 (95% CI: 1.374 to 20.846), P=0.016) were independent related factors with serum lipid level in patients with EOPC. Conclusions:Compared with LOPC, EOPC is more likely to be combined with obesity and HDL-C abnormalities, and the proportion of pancreatic head cancer is also higher, but there is no significant difference in prognosis between the two groups. In the EOPC patients, serum lipid level is associated with gender and tumor site, but has no effect on survival.

Objective To elucidate the molecular mechanisms underlying the effects of Kanggan Mixture(KGM)on key targets in rats with acute lung injury,network pharmacology and in vivo micro-CT experiments were employed.Methods Network pharmacology was utilized to forecast the target genes and principal pathways involved in the intervention of KGM in acute lung injury(ALI).Lipopolysaccharide(LPS)-induced ALI rat models were utilized,and micro-computed tomography(micro-CT)was employed to evaluate the extent of lung injury in vivo.Experiments were conducted to verify the intervention mechanism of KGM on ALI rats.Results The findings revealed that 190 chemical constituents were identified from KGM,and 579 potential targets and 204 pathways associated with KGM's impact on ALI were predicted.The principal components of KGM,such as quercetin,luteolin,kaempferol,betulin,and lupenone,exhibit anti-viral,anti-inflammatory,and immunomodulatory properties by targeting TP53,AKT1,SRC,EP300,and STAT3,and modulating the FoxO signaling pathway,TNF signaling pathway,PI3K-Akt signaling pathway,and MAPK signaling pathway,demonstrating an influence on acute lung injury.Micro-CT results suggest that KGM can improve lung texture enhancement and lung injury in ALI rats,with an increase in end-expiratory lung volume(inspiratory phase-expiratory phase).The HE and W/D ratio results indicate that KGM can improve lung tissue injury and reduce the lung tissue wet/dry weight ratio(P<0.01).Blood cell analysis results show that the anti-inflammatory agent can decrease the WBC(white blood cell count)and N%(neutrophil percentage)in ALI rats'blood(P<0.01),and increase lymphocytes(P<0.05).Real-time quantitative PCR,WES,and immunohistochemistry results suggest that KGM can decrease the mRNA expression,protein distribution,and protein expression levels of TP53,AKT1,SRC,EP300,and STAT3 in lung tissue of ALI rats(P<0.05).Conclusion KGM has a certain intervention effect on acute lung injury,mainly achieved through the core targets STAT3,EP300,SRC,AKT1,and TP53.

Objective:To explore the clinicopathologic features of early-onset pancreatic cancer (EOPC) and its correlation with dyslipidemia and prognostic analysis.Methods:This is a retrospective cohort study. Clinical and pathological data of 455 patients with pancreatic cancer who underwent radical surgery from January 2013 to September 2020 in the Department of Pancreatic Surgery, Qilu Hospital, Shandong University were retrospectively collected. According to the onset age≤50 years, the patients were divided into EOPC group(67 cases) and later-onset pancreatic cancer (LOPC) group(388 cases). There were 48 males and 19 females in the EOPC group, aged (44.4±5.7) years(range: 28.0 to 50.0 years); and 230 males and 158 females in the LOPC group, aged (63.0±7.2)years (range: 51.0 to 86.0 years). EOPC was divided into two groups according to the blood lipid status: dyslipidemia (50 cases) and normal (17 cases). General information, blood lipid data, clinicopathological parameters and follow-up information were collected. χ2 test, Mann-Whitney U test and Logistic regression analysis were used to evaluate the difference or correlation between groups, and Cox regression analysis and Kaplan-Meier survival curve were used to analyze the impact of EOPC and dyslipidemia on the prognosis. Propensity score matching was used to match two groups of patients in a 1∶1 ratio using nearest neighbor matching, with a caliper set at 0.05. Results:Compared with LOPC group, EOPC group with a higher proportion of patients with body mass index ≥24 kg/m 2 (55.8%(24/43) vs. 38.7%(113/292), χ2=4.542 ,P=0.033), dyslipidemia(74.6%(50/67) vs. 57.7%(224/388), χ2=6.808, P=0.009), pancreatic head cancer (73.1% (49/67) vs. 60.0%(231/385), χ2=4.176, P=0.041) and a lower proportion of patients with type 2 diabetes (9.0%(6/67) vs. 24.2%(94/388), χ2=7.771, P=0.005) and hypertension (9.0%(6/67) vs. 33.0%(128/388), χ2=15.885, P<0.01). Compared the proportion of dyslipidemia in the two groups,there was a higher proportion of high density lipoprotein cholesterol(HDL-C) abnormality in the EOPC group (65.7%(44/67) vs. 42.8%(166/388), χ2=12.044, P<0.01), whereas there was no significant difference in other lipid indices. Kaplan-Meier survival curve analysis of dyslipidemia did not have a significant effect on the prognosis of EOPC patients ( P=0.430). The results of further Logistic regression analysis showed that gender( OR=6.445 (95% CI: 1.692 to 24.548), P=0.006) and tumor location ( OR=5.352 (95% CI: 1.374 to 20.846), P=0.016) were independent related factors with serum lipid level in patients with EOPC. Conclusions:Compared with LOPC, EOPC is more likely to be combined with obesity and HDL-C abnormalities, and the proportion of pancreatic head cancer is also higher, but there is no significant difference in prognosis between the two groups. In the EOPC patients, serum lipid level is associated with gender and tumor site, but has no effect on survival.

Objective:To observe the efficacy and safety of recombinant human thrombopoietin (rhTPO) in the treatment of radiation induced thrombocytopenia (RIT) .Methods:From January 2019 to March 2021, 204 cases (including 101 cases of radiotherapy alone and 103 cases of concurrent chemoradiotherapy) were collected retrospectively after radiotherapy and with decreased in blood platelet count <75×10 9/L in Jilin Cancer Hospital. These patients received rhTPO 15 000 U, once a day, subcutaneous, for at least 4 consecutive days, or met the withdrawal criteria blood platelet count ≥100×10 9/L, or the absolute value of blood platelet increase ≥50×10 9/L. The characteristics of blood platelet decline, treatment efficacy, and safety were analyzed. Results:The numbers of radiotherapy treatments with platelets lower than 75×10 9/L in the radiotherapy alone group and the concurrent chemoradiotherapy group were 19 (13, 22) and 13 (10, 17) times, respectively, indicating that patients in the concurrent chemoradiotherapy group experienced platelet decline earlier ( Z=-5.27, P<0.001), the lowest values of platelet decline in the two groups were 68 (45, 74) ×10 9/L and 62 (44, 74) ×10 9/L, respectively, with no statistically significant difference ( Z=-1.15, P=0.252). After received rhTPO treatment, the numbers of days that the two groups of patients had platelets <50×10 9/L were 7 (3, 13) d and 7 (5, 11) d, respectively, with no statistically significant difference ( Z=-1.13, P=0.281). After the patients received radiotherapy, rhTPO was started when the platelet count dropped to <75×10 9/L. The number of days required to recover to 75×10 9/L was 4 (2, 10) d in the radiotherapy alone group and 4 (2, 8) d in the concurrent chemoradiotherapy group, with no statistically significant difference ( Z=-1.07, P=0.285) ; the number of days required for platelets to recover to 100×10 9/L or for the absolute value to increase by 50×10 9/L was 8 (6, 14) d in the radiotherapy alone group and 11 (8, 16) d in the concurrent chemoradiotherapy group. The recovery time of the concurrent chemoradiotherapy group was longer than that of the radiotherapy alone group ( Z=-3.64, P<0.001). Regardless of the baseline level, there was no statistically significant difference in the number of days for platelets to recover to 75×10 9/L after rhTPO treatment between the radiotherapy alone group and the concurrent chemoradiotherapy group ( Z=-1.42, P=0.155; Z=-0.97, P=0.332). The number of days required for the two groups of patients to recover to 100×10 9/L or for the absolute value to increase by 50×10 9/L were 8 (6, 14) d and 11 (8, 16) d, respectively, with a statistically significant difference ( Z=-3.64, P<0.001). The numbers of days required for the two groups of patients with baseline platelets ≥50×10 9/L to recover to 100×10 9/L or for the absolute value to increase by 50×10 9/L were 8 (4, 12) d and 10 (8, 16) d, respectively, with a statistically significant difference ( Z=-3.12, P=0.002). However, there was no statistically significant difference in the number of days required for the two groups of patients with baseline platelets <50×10 9/L to recover to 100×10 9/L or for the absolute value to increase by 50×10 9/L ( Z=-1.88, P=0.061). The total platelet elevation rate of rhTPO within 20 days of radiotherapy treatment for both groups of patients was 93.63% (191/204), of which 95.05% (96/101) was for radiotherapy alone and 92.23% (95/103) for concurrent chemoradiotherapy, with no statistically significant difference ( χ2=0.68, P=0.410). In addition, there was no statistically significant difference in gender ( χ2=3.47, P=0.063), age ( χ2=2.79, P=0.095), TNM staging ( χ2=5.07, P=0.167), and baseline platelet count ( χ2=0.62, P=0.822) between the two groups.During the radiotherapy cycle, 27 patients (13.23%) received blood platelet infusion, and 158 patients (77.45%) completed the radiotherapy plan without interruption. No rhTPO-related adverse reactions were found. Conclusion:rhTPO in the treatment for RIT can effectively promote the recovery of blood platelet without any adverse reactions, and has good safety.

Coronary heart disease (CHD) is a kind of cardiovascular diseases originated from atherosclerosis (AS), and chronic inflammation is one of the pathological characteristics. The peripheral blood leukocytes, especially mononuclear cells, play an important role in the AS processes. Recently, in a series of Epigenome-Wide Association Studies (EWAS), multiple DNA differential methylation sites in peripheral blood cells were found to be statistically associated with CHD, which suggested that these DNA differential methylation sites might serve as new risk factors for CHD. The recognition of the variant of DNA methylation as a common epigenetic nucleic acid modification in the occurrence and development of CHD, is ongoing. DNA methylation has the potential to become warning biomarkers, which might provide new ideas and evidences for mechanistic studies of CHD.

Objective To investigate the empathy levels of medical students in a military medical university and explore the influencing factors.Methods Self-developed demographic information questionnaire,Jefferson Scale of Empathy (JSPE-S),Interpersonal Reactivity Index (IRI),and Chinese Perceived Stress Scale (CPSS) were used to collect data from June to October 2016.Medical undergraduate students were conveniently enrolled in the survey.SPSS 17.0 software was used for statistical analysis.T test,ANOVA,and chi-square test or Fisher exact test were used to compare the data of different categories of students.Results A total of 683 questionnaires were distributed and 594 valid questionnaires were returned,with a valid response rate of 86.97％.Students had an above-average level of medical empathy with JSPE-S score as (104.11 ± 19.66),and IRI score was (51.63 ± 10.08).There was a statically difference on level of medical empathy between groups of students with different genders,specialties,professional satisfaction,future career desire,and relative courses learning experience (P＜0.05 for all).Medical empathy was significantly negatively correlated with perceived stress (r=-0.392,P=0.000) and significantly positively correlated with perceived stress (r=0.298,P=0.000).Conclusion Targeted strategies should be conducted to improve the empathy levels of students in the military medical university.

BACKGROUNDCurrently there is a trend towards reducing radiation dose while maintaining image quality during computer tomography (CT) examination. This results from the concerns about radiation exposure from CT and the potential increase in the incidence of radiation induced carcinogenesis. This study aimed to investigate the lowest radiation dose for maintaining good image quality in adult chest scanning using GE CT equipment.

METHODSSeventy-two adult patients were examined by Gemstone Spectral CT. They were randomly divided into six groups. We set up a different value of noise index (NI) when evaluating each group every other number from 13.0 to 23.0. The original images were acquired with a slice of 5 mm thickness. For each group, several image series were reconstructed using different levels of adaptive statistical iterative reconstruction (ASIR) (30%, 50%, and 70%). We got a total of 18 image sequences of different combinations of NI and ASIR percentage. On one hand, quantitative indicators, such as CT value and standard deviation (SD), were assessed at the region of interest. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. The volume CT dose index (CTDI) and dose length product (DLP) were recorded. On the other hand, two radiologists with ≥ 5 years of experience blindly reviewed the subjective image quality using the standards we had previously set.

RESULTSThe different combinations of noise index and ASIR were assessed. There was no significant difference in CT values among the 18 image sequences. The SD value was reduced with the noise index's reduction or ASIR's increase. There was a trend towards gradually lower SNR and CNR with an NI increase. The CTDI and DLP were diminishing as the NI increased. The scores from subjective image quality evaluation were reduced in all groups as the ASIR increased.

CONCLUSIONSIncreasing NI can reduce radiation dose. With the premise of maintaining the same image quality, using a suitable percentage of ASIR can increase the value of NI. To assure image quality, we concluded that when the NI was set at 17.0 and ASIR was 50%, the image quality could be optimal for not only satisfying the requirements of clinical diagnosis, but also achieving the purpose of low-dose scanning.

Adult ; Aged ; Aged, 80 and over ; Algorithms ; Female ; Humans ; Male ; Middle Aged ; Radiation Dosage ; Radiography, Thoracic ; methods ; Tomography, X-Ray Computed ; methods