Vesterdurham7306
6-104.2) and high-SII groups (SII >104.2) were 1.29 (0.65, 2.56) and 2.57 (1.35, 4.88), respectively, compared to the low-SII group (SII <75.5). A similar trend was observed for 90-day mortality. Subgroup analyses presented a stable relationship between SII and 30-day all-cause mortality of AP patients.
SII is a potentially useful prognostic biomarker for AP. However, prospective studies are needed to confirm this finding.
SII is a potentially useful prognostic biomarker for AP. However, prospective studies are needed to confirm this finding.
To provide a reference for the diagnosis and treatment of patients with immune thrombocytopenia (ITP) complicated with pulmonary thromboembolism (PTE) by analyzing the clinical characteristics of five such patients.
This paper summarizes the clinical manifestations and hematological indexes of five patients with ITP complicated with pulmonary embolism.
In this study, the incidence of ITP complicated with PTE was 2.75%. All five cases were elderly patients with nonspecific clinical manifestations. Platelet counts were different when PTE occurred. The time from the diagnosis of ITP to the occurrence of PTE was from 5 to 24 months, with an average of 12.8 months. There was no significant change in hemoglobin, white blood cell levels, prothrombin time, activated partial thromboplastin time, thrombin time, fibrinogen levels, or the international normalized ratio. Four patients had significantly increased D-dimer levels, while D-dimer was only slightly increased in one patient. Antithrombin (AT) was significantly decreased in four cases (less than 70%), and C-reactive protein (CRP) was increased in all five cases.
PTE may be related to AT and CRP in patients with ITP, which is of great clinical significance to the diagnosis and treatment of ITP complicated with PTE.
PTE may be related to AT and CRP in patients with ITP, which is of great clinical significance to the diagnosis and treatment of ITP complicated with PTE.
Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders. Evidence indicates that genetic and environmental factors contribute to the pathogenesis of PCOS. The molecular basis of PCOS is not well understood.
Whole-genome RNA sequencing was performed on single oocyte at the germinal vesicle (GV) stage from females with normal ovulation and females with PCOS. All subjects were women from Mongolia undergoing intracytoplasmic sperm injection in vitro fertilization (ICSI-IVF) who met the Rotterdam criteria for PCOS. Women with normal ovulation who were undergoing ICSI-IVF owing to male factor infertility were recruited as control subjects.
A total of 1313 differentially expressed genes were found by bio-informatics software in the GV oocytes of PCOS patients and compared with the control group. There were 367 upregulated and 946 downregulated genes (fold change > 2, false discovery rate < 0.01). When compared with the healthy controls, it was shown that the DEGs like VEGF, IGF, FAerent phenotypes of PCOS.
Infective endocarditis (IE) may be diagnosed as fever of unknown origin due to its delusively non-descriptive clinical features, especially in outpatient clinics. Our objective is to develop a prediction model to discriminate patients to be diagnosed as "definite" IE from "non-definite" by modified Duke criteria among patients with undiagnosed fever, using only history and results of physical examinations and common laboratory examinations.
The study was a single-center case-control study. Inpatients at Saga University Hospital diagnosed with IE from 2007 to 2017 and patients with undiagnosed fever from 2015 to 2017 were enrolled. find more Patients diagnosed with definite IE according to the modified Duke criteria, except those definitely diagnosed with other disorders responsible for fever, were allocated to the IE group. Patients without IE among those defined as non-definite according to the modified Duke criteria were allocated to the undiagnosed fever group. We developed a prediction model to pick up patients who would be "definite" by modified Duke criteria, which was subsequently assessed by area under the curve (AUC).
A total of 144 adult patients were included. Of these, 59 patients comprised the IE group. We developed the prediction model using five indicators, including transfer by ambulance, cardiac murmur, pleural effusion, neutrophil count, and platelet count, with a sensitivity 84.7%, a specificity 84.7%, an AUC 0.893 (95% confidence interval 0.828-0.959), a shrinkage coefficient 0.635, and a stratum-specific likelihood ratio 0.2-50.4.
Our prediction model, which uses only indicators easy to gain, facilitates prediction of patients with IE. These indicators can be acquired even at common hospitals and clinics, without requiring advanced medical equipment or invasive examinations.
UMIN000041344.
UMIN000041344.
Sphingolipid metabolism is a highly controlled process that is involved in regulating bioactive lipid signaling pathways and serves important roles in several cellular processes in breast cancer. Invasive ductal carcinoma (IDC), which is characterized by the malignant proliferation of the ductal epithelium and stromal invasion, is the most common type of breast cancer. Recent advances in genetic research have accelerated the discovery of novel prognostic factors and therapeutic targets for the disease. The aim of the present study was to investigate the expression and prognostic significance of sphingolipid metabolism-related genes in female IDC.
The present study used gene expression RNAseq data obtained from The Cancer Genome Atlas breast invasive carcinoma (TCGA BRCA) datasets.
Sphingolipid metabolism-related genes exhibited dysregulated mRNA expression levels in IDC. The Student's
-test revealed that
, and
were significantly upregulated, while
, and
were significantly downregulated in female IDC tissues compared with normal solid tissues. Kaplan-Meier survival analyses revealed that high
mRNA expression levels were associated with good prognosis in female IDC, suggesting that
plays a tumor suppressor role. To the best of our knowledge, the present study was the first to report that dysregulated expressions of
are significantly associated with age, estrogen receptor status, progesterone receptor status, and histological subtype.
Taken together, our study indicated that
may have a pathophysiological role and serve as a novel prognostic biomarker in IDC.
Taken together, our study indicated that SMPDL3B may have a pathophysiological role and serve as a novel prognostic biomarker in IDC.
Tumor microenvironment (TME) affects the occurrence and progression of low-grade glioma (LGG). The aim of this study is to identify TME-related genes that influence prognosis in LGG patients and to explore their function and role in tumor immunity.
The TME components of LGG samples in the Cancer Genome Atlas (TCGA) database were identified by the ESTIMATE method, and differentially expressed genes (DEGs) with significant differences in immune scores and stromal scores were screened out. The core genes of DEGs were screened out by protein-protein interaction (PPI) network. Furthermore, immune-related target genes significantly correlated with prognosis were identified. Survival analysis and correlation analysis showed the correlation between target genes and clinical features and prognosis. The expression differences of target genes were verified by external database Chinese Glioma Genome Atlas (CGGA). CIBERSORT software identified the proportion of tumor-infiltrating immune cells (TICs) that were signific responses in TME of LGG, which in turn influenced tumor occurrence and progression. IRF7 can act as a potential biomarker for prognosis in patients with LGG and provide a target for tumor immunotherapy.
Type 2 diabetes mellitus (T2DM), a major risk factor of coronary heart disease, is associated with an approximately twofold increase in the risk of myocardial infarction (MI). We studied co-expressed genes to demonstrate relationships between DM and MI and revealed the potential biomarkers and therapeutic targets of T2DM-related MI.
DM and MI-related differentially expressed genes (DEGs) were identified by bioinformatic analysis, Gene Expression Omnibus (GEO) datasets GSE42148 and GSE61144 of MI patients, and the normal control and GSE26168 and GSE15932 of DM patients and normal controls, respectively. Further target prediction and network analysis method were used to detect protein-protein interaction (PPI) networks, gene ontology (GO) terms, and pathway enrichment of DEGs. Co-expressed DEGs of T2DM-related MI were analyzed as well.
We identified 210 upregulated and 127 downregulated DEGs in T2DM, as well as 264 upregulated and 242 downregulated DEGs in MI. Eighteen upregulated and four downregulated Drials are demanded to verify our results.
Inflammation proteins play an important role in stroke occurrence.
, and
were the mediators involved in the immune response, and the association of these genetic variations with ischemic stroke (IS) risk was still unclear.
To investigate the susceptibility of genetic variations of
, and
to IS risk, we performed a case-control study involving 299 patients and 300 controls in a Chinese population. Thirteen genetic variations of investigated genes of all participants were genotyped using an improved multiplex ligase detection-reaction technique.
No SNP in all genes showed an association with overall IS. However, in subgroup analysis,
rs689466 (dominant model CT vs TT - OR
= 2.51, 95% CI 1.22-5.16,
= 0.012; co-dominant model CT/CC vs TT - OR
= 2.53, 95% CI 1.26-5.07, p = 0.009; additive model - OR
= 2.26, 95% CI 1.19-4.28,
= 0.013) and rs5275 (dominant model GG vs AA - OR
= 0.31, 95% CI 0.12-0.80,
= 0.016; co-dominant model GA/GG vs AA - OR
= 0.45, 95% CI 0.21-0.95,
= 0.036; additive model - OR
= 0.60, 95% CI 0.39-0.92,
= 0.020) were associated with IS type of small-vessel occlusion.
Our study suggested that
rs689466 C and rs5275 A were potentially associated with IS subtype of small-vessel occlusion. Our result should be confirmed with further large sample sized studies.
Our study suggested that PTGS2 rs689466 C and rs5275 A were potentially associated with IS subtype of small-vessel occlusion. Our result should be confirmed with further large sample sized studies.
The causal relationship between insomnia and migraine is contradictory and no study has been carried out among the Chinese population to date.
In this case, we conducted a case-control study and a bidirectional mendelian randomization (MR) analysis to determine whether insomnia is causally related to the development of migraine. The instrumental variables for insomnia were derived from the largest genome-wide association study of 1,331,010 participants, while the genetic instruments for migraine were available from the largest meta-analysis of migraine with 59,674 cases and 316,078 controls.
In case-control study, subjects with insomnia have significantly higher risk of migraine (OR=4.29, 95% CI 3.21-5.74, P<0.001), compared with those without insomnia. The bidirectional two-sample MR analysis revealed that insomnia was significantly associated with higher risk of migraine (OR=1.24, 95% CI 1.11-1.38, P=1.01×10-4), and the results were validated in the UK Biobank data. The results showed no indication for directional pleiotropy effects as assessed by the MR-Egger intercept (P>0.
