ObjectiveTo investigate the clinical features of patients with acute-on-chronic liver failure （ACLF） and bacterial infection and early warning indicators associated with multidrug-resistant infections. MethodsA retrospective analysis was performed for 130 patients with ACLF and bacterial infection who attended The Second Affiliated Hospital of Air Force Medical University from January 1， 2010 to December 31， 2021， and according to the drug susceptibility results， the patients were divided into multidrug-resistant （MDR） bacterial infection group with 80 patients and non-MDR bacterial infection group with 50 patients. General information and laboratory examination results were compared between the two groups to screen for the early warning indicators associated with MDR bacterial infection. The Student’s t-test was used for comparison of normally distributed continuous data with homogeneity of variance between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data or continuous data with heterogeneity of variance between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The binary logistic regression analysis and the receiver operating characteristic （ROC） curve were used to assess the predictive value of early warning indicators. ResultsAmong the 130 patients with ACLF and bacterial infection， sputum （27.7%） was the most common specimen for detection， followed by blood （24.6%）， urine （18.5%）， and ascites （17.7%）. Bacterial infections were dominated by Gram-negative bacteria （58.5%）. Of all bacteria， Escherichia coli （18.5%）， Klebsiella pneumoniae （14.6%）， and Enterococcus faecium （13.8%） were the most common pathogens. Gram-positive bacteria had a high resistance rate to the antibacterial drugs such as erythromycin （72.2%）， penicillin （57.4%）， ampicillin （55.6%）， and ciprofloxacin （53.7%）， while Gram-negative bacteria had a high resistance rate to the antibacterial drugs such as ampicillin （73.3%）， cefazolin （50.0%）， and cefepime （47.4%）. The patients with ACLF and bacterial infection had a relatively high rate of MDR bacterial infection （61.5%）. Comparison of clinical data between the two groups showed that compared with the patients with non-MDR bacterial infection， the patients with MDR bacterial infection had significantly higher levels of alanine aminotransferase （Z=2.089， P=0.037）， aspartate aminotransferase （Z=2.063， P=0.039）， white blood cell count （Z=2.207， P=0.027）， and monocyte count （Z=4.413， P<0.001）. The binary logistic regression analysis showed that monocyte count was an independent risk factor for MDR bacterial infection （odds ratio=7.120， 95% confidence interval ［CI］： 2.478‍ ‍—‍ ‍20.456，P<0.001） and had an area under the ROC curve of 0.686 （95%CI： 0.597‍ ‍—‍ ‍0.776） in predicting ACLF with MDR bacterial infection（P<0.001）， with the optimal cut-off value of 0.50×10⁹/L， a sensitivity of 0.725， and a specificity of 0.400. ConclusionACLF combined with bacterial infections is mainly caused by Gram-negative bacteria， with the common pathogens of Escherichia coli and Klebsiella pneumoniae and a relatively high MDR rate in clinical practice. An increase in monocyte count can be used as an early warning indicator to distinguish MDR bacterial infection from non-MDR bacterial infection.

Objective:To explore therapeutic effect of sacubitril valsartan sodium combined with Wenxin granule in the treatment of hypertension complicated with paroxysmal atrial fibrillation(AF)and its effect on cardiac electro-physiological structure.Methods:A total of 116 patients with hypertension and paroxysmal atrial fibrillation treated in our hospital from Oct 2021 to Nov 2022 were consecutively selected.According to random number table,they were divided into Wenxin granule group(received Wenxin granule treatment based on routine antihypertensive ther-apy)and combined treatment group(received sacubitril valsartan sodium combined Wenxin granule therapy based on routine antihypertensive therapy)with 58 cases in each group,and both groups were consecutively treated for six months.Clinical symptom score,AF burden,P wave duration,P wave dispersion,left atrial diameter(LAD),left ventricular end-diastolic diameter(LVEDd)and left ventricular ejection fraction(LVEF)were compared between two groups before and after treatment.Results:After treatment,compared with Wenxin granule group,there were significant reductions in clinical symptom score[(1.66±0.69)scores vs.(1.40±0.53)scores],AF burden[4.43(1.65)％vs.1.62(3.50)％],P wave duration[(112.17±6.46)ms vs.(109.29±8.59)ms],P wave dispersion[(32.47±8.11)ms vs.(29.02±7.49)ms]and LAD[(34.83±3.41)mm vs.(33.40±3.74)mm]in combined treatment group(P＜0.05 or＜0.01).There were no significant difference in LVEDd and LVEF between two groups,P＞0.05 both.Conclusion:Sacubitril valsartan sodium combined with Wenxin granule can significantly im-prove clinical symptoms and atrial fibrillation burden,reduce the susceptibility to atrial fibrillation,and inhibit atrial electrical remodeling and structural remodeling in patients with hypertension complicated with paroxysmal atrial fi-brillation.

Osteoscarcopenia (OS) is a common degenerative syndrome in the elderly, which is caused by a decrease in both bone and muscle mass during the aging process, leading to osteoporosis and sarcopenia, a decrease in body balance, and a risk of falls and fractures, posing a serious threat to the quality of life and lifespan of the elderly. Osteoskeletal dystrophy increases with age, and its occurrence is higher in females than that in males. At present, there is no unified diagnostic standard, making it impossible to achieve early detection and intervention. The commonly used diagnostic methods include quantitative computed tomography (CT), magnetic resonance imaging (MRI), dual energy X-ray absorptiometry (DXA), muscle mass bioelectrical impedance analysis (BIA), as well as daily gait speed (UGS), short physical performance battery (SPPB), timed start test (TUG), and biochemical evaluation indicators to improve early diagnosis and screening. Due to the fact that both bones and muscles belong to the motor system, osteoporosis and sarcopenia share common pathogenic factors in genetics, endocrine, paracrine, and fat infiltration, which interact and regulate each other, inducing the occurrence of osteoscarcopenia. Osteoporosis and sarcopenia, two age-related diseases, share the same pathogenesis and regulatory pathways, as well as common drug targets. For example: somatostatin α‑actin-3, peroxisome proliferator activated receptor γ coactivation factor-1α (PGC-1α), myocyte enhancer factor-2 (MEF2C), sterol regulatory element binding transcription factor 1 (SREBF1), protoadhesion 7 (PCDH7) and methyltransferase like 21C (METTL21C), osteocalcin and bone derived bone factor gap junction connexin 43 (Cx43), growth hormone (GH), sex hormones, and diseases (such as tumors, diabetes, polycystic ovary syndrome, cardiovascular disease, anemia, disability, inflammatory disease), aging, nutrition, and poor living habits are closely related to osteosarcopenia. Osteoporosis is characterized by low bone mass and microstructural degeneration of bone tissue, while sarcopenia is characterized by loss of muscle mass, strength, and function, both of which often coexist in the elderly population. Exercise regulates muscle and skeletal cytokines such as myostatin (MSTN) and irisinβ‑aminoisobutyric acid (BAIBA), brain derived neutrophil factor (BDNF), interleukin, prostaglandin E2, Wnt, osteocalcin (OCN), and transforming growth factor‑β (TGF‑β) and receptor activator of NF-κB ligand (RANKL) interfere with each other to prevent and treat osteoscarcopenia. Wnt/β‑catenin signaling pathway can simultaneously regulate the growth and metabolism of bones and muscles, and promote osteoblast proliferation, maturation, and mineralization by increasing OPG/RANKL, which is beneficial for bone mass increase and induces proliferation of muscle satellite cells, stimulating and promoting increased muscle synthesis. NF‑κB pathway is the main regulatory factor for inflammation mediated muscle atrophy. Meanwhile, NF‑κB DNA can participate in RANKL inducing osteoclast differentiation in bone tissue, thereby reducing bone mass. Although exercise and nutrition can improve the symptoms of osteoporosis, they cannot be completely cured, and there are no specific drugs in clinical practice that can cure sarcopenia. Because osteoscarcopenia has a common crosstalk mechanism in the aging process, it is of great significance to prevent osteoscarcopenia by improving bone mass and muscle content through exercise, nutrition, and medication.

Objective:To analyze the clinical epidemiological characteristics and the prognostic risk factors of patients with hemorrhagic fever with renal syndrome (HFRS).Methods:A total of 2 245 HFRS patients who were admitted to the Second Affiliated Hospital of Air Force Medical University from September 2008 to December 2021 were enrolled. Clinical epidemiological data (including gender, age, onset season, onset region, case fatality rate, et al) of HFRS patients were analyzed. The clinical epidemiological characteristics of patients with HFRS in the 2008 to 2012, 2013 to 2017, and 2018 to 2021 groups were compared. Statistical comparisons were performed using chi-square test. The Bonferroni adjusted P-value method was used for pairwise comparisons between groups, and logistic regression analysis was used to screen and evaluate the risk factors associated with the prognosis of HFRS patients. Results:The age of 2 245 HFRS patients was (42.3±15.9) years old. Most of them were male (79.24%(1 779/2 245)), and the main incidence area was Xi′an City (69.53%(1 561/2 245)). There were 132 deaths with an overall case fatality rate of 5.88%. There were 1 088 patients (48.46%) from 2008 to 2012, 647 patients (28.82%) from 2013 to 2017, and 510 patients (22.72%) from 2018 to 2021, with a mortality rate of 7.17%(78/1 088), 5.10%(33/647) and 4.12%(21/510), respectively. From 2008 to 2021, both the number of HFRS cases and the case fatality rate had shown a fluctuating downward trend. There were significant differences in case fatality rate, age distribution, onset season, and onset region among patients in the different year groups ( χ2=6.84, 49.22, 83.47 and 19.29, respectively, all P<0.05). The results of pairwise comparisons showed that the proportion of patients aged >60 years in the 2018 to 2021 group (23.33%(119/510)) was higher than those in the 2008 to 2012 group (12.13%(132/1 088)) and the 2013 to 2017 group (12.36%(80/647)), and the differences were statistically significant (both P<0.05). The proportions of patients at large peak (October to December) were 62.35%(318/510) in the 2018 to 2021 group and 56.26%(364/647) in the 2013 to 2017 group, which were both lower than that in the 2008 to 2012 group (75.18%(818/1 088)), and the differences were both statistically significant (both P<0.05). The case fatality rate of patients aged >60 years was 9.67%(32/331), which was higher than those of patients aged <30 years (2.86%(16/559)) and patients aged 30 to 60 years (6.20%(84/1 355)), with statistically significant differences (both P<0.05). Univariate analysis showed that age 30 to 60 years, age >60 years, smoking, complicated with hypertension, hypotensive shock and hypoxemia were significantly correlated with the prognosis of HFRS patients (odds ratio ( OR)=2.243, 3.632, 1.484, 3.532, 79.422 and 143.955, respectively, all P<0.05). The results of multivariate logistic regression analysis indicated that complicated with hypertension ( OR=2.467, P=0.004), hypotensive shock ( OR=11.658, P=0.001), and hypoxemia ( OR=67.767, P<0.001) were the independent risk factors affecting the prognosis of HFRS patients. Conclusions:The prevalence of HFRS has shown new changing characteristics from 2008 to 2021. The numbers of HFRS patients and the case fatality rates show a downward trend, and the proportion of HFRS patients aged >60 years increases. Complicated with hypertension, hypotensive shock and development with hypoxemia are the independent risk factors for the prognosis of HFRS.

Objective:To investigate the dynamic changes of routine laboratory parameters during the course of hemorrhagic fever with renal syndrome (HFRS) and estimate the predictive value for the severity of the disease.Methods:A retrospective cohort study was conducted, which enrolled 394 HFRS patients admitted to the Second Affiliated Hospital of Air Force Medical University (374 cases) and the Second Affiliated Hospital of Xi′an Jiaotong University (20 cases) from January 2019 to January 2022. The patients were divided into mild (mild and moderate) and severe (severe and critical) groups.The basic information, personal history, past history, treatment, complications and other clinical data of patients were collected and the results of the laboratory examinations in the morning at day 1, 2, 3, 4, 5, 7, 10, 15, 20 and 25 of hospitalization and before discharge were recorded. The dynamic changes of the patients′ routine laboratory indicators and the dynamic predictive values of each indicator for severe condition were analyzed. Mann-Whitney U test and chi-square test were used for comparison, and receiver operator characteristic (ROC) curve was used for predictive value evaluation. Results:The age of 212 patients in the mild group was 38(27, 61) years, and that of 182 patients in the severe group was 49(32, 64) years, the difference was statistically significant ( Z=-2.24, P=0.025). The incidences of acute pancreatitis, acute respiratory distress syndrome, multiple organ dysfunction syndrome, the utilization rates of blood purification and mechanical ventilation in the severe group were 6.0%(11/182), 12.6%(23/182), 19.8%(36/182), 89.6%(163/182) and 22.5%(41/182), respectively, and those in the mild group were 0(0/212), 0(0/212), 0(0/212), 15.6%(33/212) and 0.5%(1/212) respectively, and the differences were all statistically significant ( χ2=13.18, 28.45, 46.15, 214.48 and 50.02, respectively, all P<0.05). The levels of white blood cell count, lymphocyte count, monocyte count and neutrophil count were all increased rapidly after onset and peaked at days 4 to 6 of illness, with the counts of 14.2(9.7, 20.7)×10 9/L, 4.2(2.3, 6.2)×10 9/L, 1.5 (0.8, 3.3)×10 9/L and 8.3(4.3, 11.4)×10 9/L, respectively. Aspartate aminotransferase peaked (102(66, 178) U/L) within three days after onset and then decreased rapidly, returned to normal level by day 12. Blood urea nitrogen and creatinine both increased steadily after onset, peaked at day 9 to 10, with the levels of 13.2(7.7, 19.1) mmol/L and 255.4(122.9, 400.9) μmol/L, respectively. Prothrombin time, activated partial thromboplastin time, fibrinogen degradation products and D-dimer levels at day 3 after onset were 12.7(12.0, 13.2) s, 38.7(33.5, 51.9) s, 12.6(6.9, 32.0) mg/L and 4.9(2.2, 13.7) mg/L, respectively.Platelet count at day 4, neutrophil count at day 5, creatinine at day 11 and blood urea nitrogen at day 14 after onset had decent predictive values for estimating severity, of which the area under curve (AUC) values were 0.801(95% confidence interval (95% CI) 0.727 to 0.875), 0.824(95% CI 0.770 to 0.878), 0.862(95% CI 0.805 to 0.919) and 0.810(95% CI 0.722 to 0.897), respectively. Conclusions:Routine blood count, liver function and coagulation are important reference indicators for early warning of severe disease of HFRS, while with the progress of the disease, renal function indicators are effective in differentiating the severity of the disease. The platelet count at day 4, neutrophil count at day 5, creatinine at day 11 and blood urea nitrogen at day 14 after onset have predictive values for severe HFRS.

Objective To locate the distribution of muscle spindles in tibialis anterior (TA) and extensor digitorum longus muscle (EDL) and the anchoring mode of muscle spindles in skeletal muscles, and perform statistics analysis of their morphological character by anatomical parameters. Methods Five adult wild type C57BL/6 mice were sacrificed, and TA and EDL were dissected and frozen with improved ultra-low temperature cryopreservation technology avoiding myofibers damaged by possible ice crystal. Continuous frozen transections were obtained and operated by HE staining, followed by microimaging to spot the muscle spindles location. Some parameters including regions length and cross section area (CSA) of muscle spindles were noticed for the discovery of some general characteristics of spindles by statistics. Results For TA and EDL, the scattered characters of muscle spindles were distributed as follows: the spindles were located at the upper third of the mid-belly of both TA and EDL from caudal to rostral position, while near the enter point to muscle of the deep peroneal nerve in dorsal-ventral orientation. The peripheral of muscle spindles anchored to extrafusal fibers to hold in the muscle. And in term of length, region A, connected with sensory nerve ending, demonstrated a significant correlation with region B, which located at the poles of region A and twined by motor nerve ending (correlation index = 0. 75) when considering the muscle spindles with four intrafusal fibers only. And no correlation was discovered in any others pairwise parameters. Conclusion The scattered diagram of muscle spindles in TA and EDL of C57BL/6 mice might provide anatomic basis for evaluation of lower limb motor function, especially for the spinal cord injury and recovery research. And the correlationship between the length of region A and B might improve exploring the variability of electrophysiological characters.

Objective: Epidemiological studies reveal that exposure to fine particulate matter (aerodynamic diameter ≤ 2.5 μm, PM Methods: EVs were isolated from the serum of healthy subjects, quantified Results: PM Conclusions EVs treatment promotes cell survival and attenuates PM
A549 Cells ; Air Pollutants/toxicity* ; Apoptosis/drug effects* ; Cell Survival/drug effects* ; Extracellular Vesicles ; Humans ; Male ; Middle Aged ; Particulate Matter/toxicity* ; Protective Agents/pharmacology* ; Proto-Oncogene Proteins c-akt/metabolism* ; Serum

Near-infrared spectroscopy(NIRS) combined with band screening method and modeling algorithm can be used to achieve the rapid and non-destructive detection of the traditional Chinese medicine(TCM) production process. This paper focused on the ginkgo leaf macroporous resin purification process, which is the key technology of Yinshen Tongluo Capsules, in order to achieve the rapid determination of quercetin, kaempferol and isorhamnetin in effluent. The abnormal spectrum was eliminated by Mahalanobis distance algorithm, and the data set was divided by the sample set partitioning method based on joint X-Y distances(SPXY). The key information bands were selected by synergy interval partial least squares(siPLS); based on that, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA) and Monte Carlo uninformative variable(MC-UVE) were used to select wavelengths to obtain less but more critical variable data. With selected key variables as input, the quantitative analysis model was established by genetic algorithm joint extreme learning machine(GA-ELM) algorithm. The performance of the model was compared with that of partial least squares regression(PLSR). The results showed that the combination with siPLS-CARS-GA-ELM could achieve the optimal model performance with the minimum number of variables. The calibration set correlation coefficient R_c and the validation set correlation coefficient R_p of quercetin, kaempferol and isorhamnetin were all above 0.98. The root mean square error of calibration(RMSEC), the root mean square error of prediction(RMSEP) and the relative standard errors of prediction(RSEP) were 0.030 0, 0.029 2 and 8.88%, 0.041 4, 0.034 8 and 8.46%, 0.029 3, 0.027 1 and 10.10%, respectively. Compared with the PLSR me-thod, the performance of the GA-ELM model was greatly improved, which proved that NIRS combined with GA-ELM method has a great potential for rapid determination of effective components of TCM.
Algorithms ; Ginkgo biloba ; Least-Squares Analysis ; Plant Leaves ; Spectroscopy, Near-Infrared

Lysine acetylation has emerged as one of the most important post-translational modifications that participates in various biological and pathological processes. Histone acetyltransferase 1 (HAT1) as the first identified protein ε-amino lysine acetyltransferase is able to regulate the acetylation of histones and non-histone proteins. However‚ the acetylation substrates and sites mediated by HAT1 in liver cancer are poorly understood. In this study‚ we demonstrated that HAT1 was highly expressed in the liver cancer tissues‚ which was negatively associated with the prognosis of patients. Based on the establishment of the HAT1-knockout HepG2 cell line‚ we employed a quantitative proteomics approach to study the profiling of acetylation mediated by HAT1 in HepG2 cells. Interestingly‚ we identified a total of 858 Kac sites on 547 proteins in the HepG2 cell line‚ in which HAT1 mediated the levels of Kac of 74 sites on 68 proteins. The pathways and metabolic processes that were affected by HAT1-dependent acetylation modification were analyzed by bioinformatics. The results show that Kac regulates disease development‚ RNA biology‚ spliceosome and nucleosome assembly‚ oxidative stress‚ various signaling pathways and metabolic pathways‚ etc.. Moreover‚ we verified that the HAT1-mediated acetylation modification could promote abnormal lipid metabolism. CCK8 assays‚ clone formation and Edu assays revealed that HAT1 could remarkably enhance the cell proliferation of liver cancer in vitro. Thus‚ our finding explored the profiling of HAT1-mediated protein acetylation in HepG2 cells‚ which provides new insights into the underlying mechanism by which HAT1 mediates the development of liver cancer. Clinically‚ the HAT1-mediated acetylation sites could be used for the precise targets of drug development.

The clinical comprehensive evaluation of drugs is an important basis for the return of clinical value, decision-making of medical and health authorities, and allocation of medical resources. In July 2021, the National Health Commission issued the Guidelines for the Management of Clinical Comprehensive Evaluation of Drugs(trial version 2021), which required the evaluation to be implemented from the six dimensions(safety, effectiveness, economy, innovation, suitability, and accessibility), and made detailed arrangements for the clinical comprehensive evaluation of drugs. As Chinese patent medicine differs from chemical medicines in terms of effective components and action modes, the clinical comprehensive evaluation of Chinese patent medicine should highlight the characteristics and advantages of traditional Chinese medicine(TCM) on the basis of general requirements of comprehensive clinical evaluation of drugs. At present, in the clinical comprehensive evaluation of Chinese patent medicine, unified report standards have not yet been generated, resulting in the uneven quality of existing reports. To standardize the clinical comprehensive evaluation report of Chinese patent medicine and improve its quality, the editorial team, based on the relevant policy documents of clinical comprehensive evaluation of drugs, formulated the clinical comprehensive evaluation report standards for Chinese patent medicine in combination with the previous practice and expert opinions. The report standards, containing seven sections with 15 items determined, focus on data source, evaluation content, evidence synthesis, quality control, and evaluation results supported with detailed interpretations to help researchers better understand and apply the report standards for clinical comprehensive evaluation of Chinese patent medicine, improve the report quality, and provide references for the decision-making by the national medical management authorities.
China ; Drugs, Chinese Herbal ; Information Storage and Retrieval ; Medicine, Chinese Traditional ; Nonprescription Drugs ; Quality Control