Clinical Efficacy and Safety of Joint Butylphthalide and Human Albumin Treatment of PTCI

Objective: To observe the clinical efficacy and safety of butylphthalide joint human albumin in the treatment of the progress of type in acute cerebral infarction(PTCI). Methods: 120 patients with PTCI in Department of Neurology of Shuyang People’s Hospital were used to observe the efficacy. These patients were all treated by routine medicine including anti-platelet, statins, edaravone, ginkgo leaf extract and dipyridamole after admission. According to whether used butylphthalide and(or) human albumin in the treatment of PTCI, the patients were divided into A group 30 cases, B group 45 cases, and C group 45 cases.Patients of group C were given conventional treatment. Group B were given conventional treatment and human albumin injection(5g, ivgtt, qd, 3 days in a course); Group A were treated with butylphthalide (first,with butylphthalide and sodium chloride injection 100ml, ivgtt, for 7d, then with butylphthalide soft capsules 0.2g, tid, for 21d ), human albumin(5g, ivgtt, qd, for 3d) and routine medicine. The change of NIHSS score, Barthel Index, and mRS of three groups respectively during progress,1 week, 2 weeks and 90 days after progress were observed and analyzed. Results: NIHSS score, Barthel Index, and mRS of group A, group B and group C all showed no statistically significant (all p > 0.05) on 1 week after treatment; NIHSS score and mRS of group A were both lower than group B and group C on 2 weeks and 90 days after treatment, and both of them showed statistically significant (p group B（88.9%） > group C（77.8%),showed statistically significant (p<0.05). Conclusions: Butylphthalide joint human albumin treatment of PTCI has good therapeutic effect and safety, it is useful to clinical promotion and further research

Biomarker study of symptomatic intracranial atherosclerotic stenosis in patients with acute ischemic stroke

ObjectiveAcute ischemic stroke (AIS) is characterized by high rates of morbidity, disability, mortality, and recurrence, often leaving patients with varying degrees of sequelae. Symptomatic intracranial atherosclerotic stenosis (sICAS) is a significant contributor to AIS pathogenesis and recurrence. The formation and progression of sICAS are influenced by pathways such as lipid metabolism and inflammatory response. Given its high risk of clinical recurrence, timely assessment of intracranial vascular stenosis in AIS is crucial for diagnosing sICAS, treating stroke, and preventing stroke recurrence.MethodsFourteen AIS patients were divided into stenosis and control groups based on the presence or absence of intracranial vessel stenosis. Initially, 4D Label-free proteome quantification technology was employed for mass spectrometry analysis to identify differential proteins between the groups. Subsequently, functional enrichment analysis, including GO classification, KEGG pathway, and Domain, revealed trends related to differential proteins. The STRING (v.11.5) protein interaction network database was used to identify differential protein interactions and target proteins. Finally, parallel reaction monitoring (PRM) validated the selected target proteins.ResultsMass spectrometry identified 1,096 proteins, with 991 being quantitatively comparable. Using a p-value &lt;0.05 and differential expression change thresholds of &gt;1.3 for significant up-regulation and &lt; 1/1.3 for significant down-regulation, 46 differential proteins were identified: 24 significantly up-regulated and 22 significantly down-regulated. PRM experiments validated five proteins related to lipid metabolism and inflammatory response: namely alpha-2-macroglobulin (A2M), lipopolysaccharide-binding protein (LBP), cathepsin G (CTSG), cystatin (CST)3, and fatty acid-binding protein (FABP)1.ConclusionThe detection of changes in these five proteins in AIS patients can aid in the diagnosis of sICAS, inform stroke treatment, and assist in preventing stroke recurrence. Moreover, it can contribute to the development of drugs for preventing AIS recurrence by integrating traditional Chinese and Western medicine

Novel peptide–dendrimer conjugates as drug carriers for targeting nonsmall cell lung cancer

Phage display technology has been demonstrated to be a powerful tool for screening useful ligands that are capable of specifically binding to biomarkers on the surface of tumor cells. The ligands found by this technique, such as peptides, have been successfully applied in the fields of early cancer diagnostics and chemotherapy. In this study, a novel nonsmall cell lung cancer-targeting peptide (LCTP, sequence RCPLSHSLICY) was screened in vivo using a Ph.D.-C7C™ phage display library. In order to develop a universal tumor-targeting drug carrier, the LCTP and fluorescence-labeled molecule (FITC) were conjugated to an acetylated polyamidoamine (PAMAM) dendrimer of generation 4 (G4) to form a PAMAM–Ac–FITC–LCTP conjugate. The performance of the conjugate was first tested in vitro. In vitro results of cell experiments analyzed by flow cytometry and inverted fluorescence microscopy indicated that PAMAM–Ac–FITC–LCTP was enriched more in NCI-H460 cells than in 293T cells, and cellular uptake was both time- and dose-dependent. The tissue distribution of the conjugate in athymic mice with lung cancer xenografts was also investigated to test the targeting efficiency of PAMAM–Ac–FITC–LCTP in vivo. The results showed that LCTP can effectively facilitate the targeting of PAMAM–Ac–FITC–LCTP to nonsmall cell lung cancer cells and tumors. These results suggest that the LCTP-conjugated PAMAM dendrimer might be a promising drug carrier for targeted cancer diagnosis and treatment

New insight into the causal relationship between Graves’ disease liability and drug eruption: a Mendelian randomization study

BackgroundGraves’ disease (GD) and drug eruption are closely associated and frequently observed in the clinical setting. However, it remains unclear whether a causal relationship exists between these two conditions. The aim of the study is to investigate whether GD is causal to drug eruptions using two-sample Mendelian randomization.MethodsWe launched a two-sample MR to investigate whether GD is causal to drug eruption using Genome-wide association study (GWAS) summary data from Biobank Japan and FinnGen. Genetic variants were used as instrumental variables to avoid confounding bias. Statistical methods including inverse variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO were conducted to identify the robustness of the causal effect.ResultsGenetically predicted GD may increase the risk of drug eruption by 30.3% (OR=1.303, 95% CI 1.119-1.516, p&lt;0.001) in the Asian population. In European populations, GD may increase the generalized drug eruption by 15.9% (OR=1.159, 95%CI 0.982-1.367, p=0.080).ConclusionsWe found GD is potentially causal to drug eruption. This finding expanded the view of the frequently observed co-existence of GD and adverse drug reactions involving the skin. The mechanism remains for further investigation

Associations of HLA-DP Variants with Hepatitis B Virus Infection in Southern and Northern Han Chinese Populations: A Multicenter Case-Control Study

) locus has been reported to be associated with hepatitis B virus (HBV) infection in populations of Japan and Thailand. We aimed to examine whether the association can be replicated in Han Chinese populations. = 0.097∼0.697 and 0.198∼0.615 in northern Chinese population, respectively). loci were strongly associated with HBV infection in southern and northern Han Chinese populations, but not with HBV progression

Dose-risk and duration-risk relationships between aspirin and colorectal cancer: a meta-analysis of published cohort studies.

BACKGROUND: In previous meta-analyses, aspirin use has been associated with reduced risk of colorectal cancer. However, uncertainty remains on the exact dose-risk and duration-risk relationships. METHODS: We identified studies by searching several English and Chinese electronic databases and reviewing relevant articles. The dose-response meta-analysis was performed by linear trend regression and restricted cubic spline regression. Subgroup analyses were conducted to explore possible heterogeneity among studies. Potential heterogeneity was calculated as Q statistic and I(2) value. Publication bias was evaluated using funnel plots and quantified by the Begg's and Egger's test. RESULTS: Twelve studies were included in this meta-analysis. An inverse association between aspirin use and colorectal cancer was observed in both the overall group (RR = 0.74, 95% CI 0.64-0.83 for aspirin dose; RR = 0.80, 95% CI 0.75-0.85 for frequency of aspirin use; RR = 0.75, 95% CI 0.68-0.81 for years of aspirin use) and subgroups stratified by sex and cancer site. The dose-response meta-analysis showed that there was a 20% statistically significant decreased risk of colorectal cancer for 325 mg aspirin per day increment, 18% decreased risk for 7 times aspirin per week increment and 18% decreased risk for 10 years aspirin increment. CONCLUSION: Long-term (>5 years), low-dose (75-325 mg per day) and regular aspirin use (2-7 times per week) can effectively reduce the risk of colorectal cancer

Robust Automatic Target Recognition via HRRP Sequence Based on Scatterer Matching

High resolution range profile (HRRP) plays an important role in wideband radar automatic target recognition (ATR). In order to alleviate the sensitivity to clutter and target aspect, employing a sequence of HRRP is a promising approach to enhance the ATR performance. In this paper, a novel HRRP sequence-matching method based on singular value decomposition (SVD) is proposed. First, the HRRP sequence is decoupled into the angle space and the range space via SVD, which correspond to the span of the left and the right singular vectors, respectively. Second, atomic norm minimization (ANM) is utilized to estimate dominant scatterers in the range space and the Hausdorff distance is employed to measure the scatter similarity between the test and training data. Next, the angle space similarity between the test and training data is evaluated based on the left singular vector correlations. Finally, the range space matching result and the angle space correlation are fused with the singular values as weights. Simulation and outfield experimental results demonstrate that the proposed matching metric is a robust similarity measure for HRRP sequence recognition