Identification of a prognosis-related ceRNA network in cholangiocarcinoma and potentially therapeutic molecules using a bioinformatic approach and molecular docking.

Cholangiocarcinoma (CCA) is a highly malignant disease with a poor prognosis, and mechanisms of initiation and development are not well characterized. It is long noncoding RNAs (lncRNAs) acting as miRNA decoys to regulate cancer-related RNAs in competing endogenous RNA (ceRNA) networks that suggest a possible molecular mechanism in CCA. The current study aims to find potential prognosis biomarkers and small molecule therapeutic targets based on the construction of a CCA prognosis-related ceRNA network. A transcriptome dataset for CCA was downloaded from the TCGA database. Differentially expressed lncRNAs (DElncRNAs), DEmiRNAs and DEmRNAs were identified based on the differential expression and a DEceRNA network was constructed using predicted miRNA-lncRNA and miRNA-mRNA interactions. Heat maps, PCA analysis, and Pathway enrichment analysis and GO enrichment analysis were conducted. The prognostic risk model and molecular docking were constructed based on identified key ceRNA networks. A DElncRNA-miRNA-mRNAs network consisting of 434 lncRNA-miRNA pairs and 284 miRNA-mRNA pairs with 200 lncRNAs, 21 miRNAs, and 245 mRNAs was constructed. There were three lncRNAs (AC090772.1, LINC00519, and THAP7-AS1) and their downstream mRNAs (MECOM, MBNL3, RCN2) screened out as prognostic factors in CAA. Three key networks (LINC00519/ hsa-mir-22/ MECOM, THAP7-AS1/hsa-mir-155/MBNL3, and THAP7-AS1/hsa-mir-155/RCN2) were identified based on binding sites prediction and survival analysis. A prognostic risk model was established with a good predictive ability (AUC = 0.66-0.83). Four anticancer small molecules, MECOM and 17-alpha-estradiol (-7.1 kcal/mol), RCN2 and emodin (-8.3 kcal/mol), RCN2 and alpha-tocopherol (-5.6 kcal/mol), and MBNL3 and 17-beta-estradiol (-7.1 kcal/mol) were identified. Based on the DEceRNA network and Kaplan-Meier survival analysis, we identified three important ceRNA networks associated with the poor prognosis of CCA. Four anti-cancer small molecules were screened out by computer-assisted drug screening as potential small molecules for the treatment of CCA. This study provides theoretical support for the development of ceRNA network-based drugs to improve the prognosis of CCA.

Establishment of Reference Values for Pepsinogens in Healthy Subjects of the Gansu Province: a Cross-Sectional Study.

BACKGROUND: At present, the pepsinogen reference values applicable to subjects from Gansu province have not been established. Therefore, the current study aimed to establish reference values for PGI, PGII, and the PGI/ PGII ratio in Gansu Province, Northwest China. METHODS: The present study was a cross-sectional study. Following screening in the physical examination center of Gansu Provincial Hospital, 2,130 healthy subjects were enrolled (age range 18 - 88 years; BMI range 15.35 - 38.89 kg/m2) from March 2018 to December 2020. Serum PGI and PG II concentration levels were detected by chemiluminescence. The reference values were defined according to age and gender by non-parametric 95th percentile intervals. RESULTS: The increase in age caused a gradual increase in the levels of PG I and PG II, while PG I/PG II ratio gradually decreased. The PG I, PG II and PG I/PG II ratio in males were significantly higher than those in females. The reference values for PG I, PG II and PG I/PG II ratio in males: < 40 years old were 22.79 - 119.79 ng/mL, 3.02 - 21.57 ng/mL, and 2.99 - 10.25, respectively; ≥ 40 years old were 17.58 - 125.12 ng/mL, 3.70 - 25.84 ng/mL, and 1.52 - 10.53, respectively. The reference values for PG I, PG II, and PG I/PG II ratio in females: < 40 years old were 22.57 - 103.90 ng/mL, 3.17 - 20.73 ng/mL, and 2.28 - 10.46, respectively; ≥ 40 years old were 14.24 - 117.81 ng/mL, 3.36 - 29.57 ng/mL, and 1.26 - 9.85, respectively. CONCLUSIONS: The present study determined the missing reference values of serum PGs for healthy subjects of different gender and ages in Gansu Province.

Blood Plasma Metabolic Profile of Newborns with Hypoxic-Ischaemic Encephalopathy by GC-MS.

BACKGROUND: Early diagnosis of hypoxic-ischaemic encephalopathy (HIE) is crucial in preventing neurodevelopmental disabilities and reducing morbidity and mortality. The study was to investigate the plasma metabolic signatures in the peripheral blood of HIE newborns and explore the potential diagnostic biomarkers. METHOD: In the present study, 24 newborns with HIE and 24 healthy controls were recruited. The plasma metabolites were measured by gas chromatography-mass spectrometry (GC-MS), and the raw data was standardized by the EigenMS method. Significantly differential metabolites were identified by multivariate statistics. Pathway enrichment was performed by bioinformatics analysis. Meanwhile, the diagnostic value of candidate biomarkers was evaluated. RESULT: The multivariate statistical models showed a robust capacity to distinguish the HIE cases from the controls. 52 metabolites were completely annotated. 331 significantly changed pathways were enriched based on seven databases, including 33 overlapped pathways. Most of them were related to amino acid metabolism, energy metabolism, neurotransmitter biosynthesis, pyrimidine metabolism, the regulation of HIF by oxygen, and GPCR downstream signaling. 14 candidate metabolites showed great diagnostic potential on HIE. Among them, alpha-ketoglutaric acid has the potential to assess the severity of HIE in particular. CONCLUSION: The blood plasma metabolic profile could comprehensively reflect the metabolic disorders of the whole body under hypoxia-ischaemic injury. Several candidate metabolites may serve as promising biomarkers for the early diagnosis of HIE. Further validation based on large clinical samples and the establishment of guidelines for the clinical application of mass spectrometry data standardization methods are imperative in the future.

Contribution of upregulated aminoacyl-tRNA biosynthesis to metabolic dysregulation in gastric cancer.

BACKGROUND AND AIM: Metabolic reprogramming is characterized by dysregulated levels of metabolites and metabolic enzymes. Integrated metabolomic and transcriptomic data analysis can help to elucidate changes in the levels of metabolites and metabolic enzymes, screen the core metabolic pathways, and develop novel therapeutic strategies for cancer. METHODS: Here, the metabolome of gastric cancer tissues was determined using liquid chromatography-mass spectrometry. The transcriptome data from The Cancer Genome Atlas dataset were integrated with the liquid chromatography-mass spectrometry data to identify the common dysregulated gastric cancer-specific metabolic pathways. Additionally, the protein expression and clinical significance of key metabolic enzymes were examined using a gastric cancer tissue array. RESULTS: Metabolomic analysis of 16 gastric cancer tissues revealed that among the 15 dysregulated metabolomic pathways, the aminoacyl-tRNA biosynthesis pathway in the gastric tissues was markedly upregulated relative to that in the adjacent noncancerous tissues, which was consistent with the results of transcriptome analysis. Bioinformatic analysis revealed that among the key regulators in the aminoacyl-tRNA biosynthesis pathway, the expression levels of threonyl-tRNA synthetase (TARS) and phenylalanyl-tRNA synthetase (FARSB) were correlated with tumor grade and poor survival, respectively. Additionally, gastric tissue array data analysis indicated that TARS and FARSB were upregulated in gastric cancer tissues and were correlated with poor prognosis and tumor metastasis. CONCLUSIONS: This study demonstrated that the aminoacyl-tRNA biosynthesis pathway is upregulated in gastric cancer and both TARS and FARSB play key roles in the progression of gastric cancer. Additionally, a novel therapeutic strategy for gastric cancer was proposed that involves targeting the aminoacyl-tRNA biosynthesis pathway.

Association between serum pepsinogen and atherosclerotic cardiovascular disease.

BACKGROUND AND AIM: Serum pepsinogens (PGs) are biomarkers for gastric mucosal damage and have been reported to be associated with atherosclerosis. Its correlation with atherosclerotic cardiovascular disease (ASCVD) is still unknown. This study aimed to explore the association between serum PGs and ASCVD for providing physicians with an integrative picture to make rational plans in the diagnosis and treatment of ASCVD. METHODS AND RESULTS: The concentrations of serum PGs and their distributions between ASCVD and non-ASCVD were compared by non-parametric test, Chi-squared test and Fisher exact test. The correlation between variables was analyzed by Spearman's correlation test. The association of serum PGs with ASCVD was analyzed by the binary logistic regression and two-piecewise linear regression. A total of 8355 recruited cases were eligible for the study. The concentrations of serum PGs were significantly different between the ASCVD and non-ASCVD groups (P = 0.025, P < 0.001). The lower PGI and PGR levels were significantly correlated with a high risk of ASCVD presence after adjustment for 26 potential covariates. Moreover, there was a linear relationship between the high level of PGII and the high risk of ASCVD [adjusted OR = 1.16 (1.00, 1.37), P = 0.07]. A nonlinear relationship of PGI/PGR and ASCVD (P = 0.08/<0.001) was also revealed. The risk of ASCVD increased with a range of log PGI ≥2.13 (PGI≥131 ng/mL) [adjusted OR = 4.67 (1.00, 23.17)], and decreased with a range of log PGR ≥0.22 (1.65) [adjusted OR = 0.59 (0.48, 0.74), P < 0.001]. CONCLUSIONS: Serum PGI and PGR are nonlinearly correlated with ASCVD, while PGII is linearly correlated with ASCVD. Among all PGs, PGR may serve as a reliable biomarker for ASCVD.

The role of non-coding RNA on macrophage modification in tuberculosis infection.

Tuberculosis (TB), a serious disease caused by Mycobacterium tuberculosis (Mtb), remains the world's top infectious killer. It is well-established that TB can circumvent the host's immune response for long-term survival. Macrophages serve as the major host cells for TB growth and persistence and their altered functions are critical for the response of the host defense against TB exposure (elimination, latency, reactivation, and bacillary dissemination). Noncoding RNAs are crucial posttranscriptional regulators of macrophage discrimination. Therefore, this review highlights the regulatory mechanism underlying the relationship between noncoding RNAs and macrophages in TB infection, which may facilitate the identification of potential therapeutic targets and effective diagnosis biomarkers for TB disease.

The meta-analysis for ideal cytokines to distinguish the latent and active TB infection.

BACKGROUND: One forth whole-world population is infected with Mycobacterium tuberculosis (Mtb), but 90% of them are asymptotic latent infection without any symptoms but positive result in IFN-γ release assay. There is lack of ideal strategy to distinguish active tuberculosis (TB) and latent tuberculosis infection (LTBI). Some scientist had focused on a set of cytokines as biomarkers besides interferon- gamma (IFN-γ) to distinguish active TB and LTBI, but with considerable variance of results. This meta-analysis aimed to evaluate the overall discriminative ability of potential immune molecules to distinguish active TB and LTBI. METHODS: PubMed, the Cochrane Library, and Web of Science databases were searched to identify studies assessing diagnostic roles of cytokines for distinguishing active TB and LTBI published up to August 2018. The quality of enrolled studies was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The pooled diagnostic sensitivity and specificity of each cytokine was calculated by using Meta-DiSc software. Area under the summary receiver operating characteristic curve (AUC) was used to summarize the overall diagnostic performance of each biomarker. RESULTS: Fourteen studies with 982 subjects met the inclusion criteria, including 526 active TB and 456 LTBI patients. Pooled sensitivity, specificity and AUC for discriminating between active TB and LTBI were analyzed for IL-2 (0.87, 0.61 and 0.9093), IP-10 (0.77, 0.73 and 0.8609), IL-5 (0.64, 0.75 and 0.8533), IL-13 (0.75, 0.71 and 0.8491), IFN-γ (0.67, 0.75 and 0.8031), IL-10 (0.68, 0.74 and 0.7957) and TNF-α (0.67, 0.64 and 0.7783). The heterogeneous subgroup analysis showed that cytokine detection assays, TB incidence, and stimulator with Mtb antigens are main influence factors for their diagnostic performance. CONCLUSIONS: The meta-analysis showed cytokine production could assist the distinction between active TB and LTBI, IL-2 with the highest overall accuracy. No single biomarker is likely to show sufficiently diagnostic performance due to limited sensitivity and specificity. Further prospective studies are needed to identify the optimal combination of biomarkers to enhanced diagnostic capacity in clinical practice.

The characteristic of the synonymous codon usage and phylogenetic analysis of hepatitis B virus.

BACKGROUND: Hepatitis B virus (HBV) infection is a crucial medical issue worldwide. The dependence of HBV replication on host cell machineries and their co-evolutionary interactions prompt the codon usage pattern of viral genes to translation selection and mutation pressure. OBJECTIVE: The evolutionary characteristics of HBV and the natural selection effects of the human genome on the codon usage characteristics were analyzed to provide a basis for medication development for HBV infection. METHODS: The codon usage pattern of sequences from different HBV genotypes of our isolates and reference HBV genome sequences downloaded from the National Center for Biotechnology Information (NCBI) database were analyzed by computing the relative synonymous codon usage (RSCU), nucleotide content, codon adaptation index (CAI) and the effective number of codons (ENC). RESULTS: The highest ENC values were observed in the C genotypes, followed by the B genotypes. The ENC values indicated a weak codon usage bias (CUB) in HBV genome. The number of codons differentially used between the three genotypes was markedly higher than that of similarly used codons. High CAI values indicated a good adaptability of HBV to its host. The ENC plot indicated the occurrence of mutational pressure in the three genotypes. The mean Ka/Ks ratios in the three genotypes were lower than 1, which indicated a negative selection pressure. The CAI and GC3% plot indicated the existence of CUB in the HBV genome. CONCLUSIONS: Nucleotide composition, mutation bias, negative selection and mutational pressure are key factors influencing the CUB and phylogenetic diversity in HBV genotypes. The data provided here could be useful for developing drugs for HBV infection.

Diagnostic accuracy of in-house real-time PCR assay for Mycobacterium tuberculosis: a systematic review and meta-analysis.

BACKGROUND: In recent years, studies on the diagnostic accuracy of in-house real-time PCR (hRT-PCR) assay for the detection of Mycobacterium tuberculosis (Mtb) have been reported with unignorable discrepancies. To assess the overall accuracy of the hRT-PCR assay for Mtb diagnosis in different samples for individuals with active pulmonary and extra-pulmonary Mtb infection, a systematic review and meta-analysis were performed. METHODS: The PUBMED, EMBASE, Web of Science, and Cochrane databases were searched up to June 2017 for eligible studies that estimated diagnostic sensitivity and specificity with the hRT-PCR assay in respiratory and non-respiratory samples in pulmonary and extra-pulmonary Mtb infection patients, with Mtb culture as the reference standard. Bivariate random effect models were used to provide pooled estimation of diagnostic accuracy. Further, subgroup and meta-regression analyses were performed to explore sources of heterogeneity. The risk of bias was assessed by the QUADAS-2 tool. RESULTS: Of the 3589 candidate studies, 18 eligible studies met our inclusion criteria. Compared to Mtb culture data, the pooled sensitivity and specificity were 0.96 and 0.92, respectively. The diagnostic odds ratio (DOR) was 192.96 (95% CI 68.46, 543.90), and the area under the summary ROC curve (AUC) was 0.9791. There was significant heterogeneity in sensitivity and specificity among the enrolled studies (p < 0.001). The studies with high-quality assessment and application of respiratory specimen were associated with better accuracy. CONCLUSIONS: In low-income/high-burden settings, our results suggested that the hRT-PCR assay could be a useful test for the diagnosis of TB with high sensitivity and specificity.

DosR antigen Rv1737c induces activation of macrophages dependent on the TLR2 pathway.

Latent Mycobacterium tuberculosis (Mtb) infection (LTBI) is the main clinical manifestation after Mtb exposure. During the latent phase, Mtb retards the attempts of eradication by the host immune system. The dormancy survival regulator (DosR) is held as essential for Mtb persistence. Rv1737c is predominantly expressed by the Mtb in latent infection. However, the role of Rv1737c in the immune evasion is still largely unknown. In this study, we have characterized the Rv1737c functions in the recruitment and activation of macrophages, which play a cardinal role in the innate and adaptive immunity. For the first time, we have revealed that Rv1737c induced the tolerogenic phenotype of macrophages by upregulating the expression of indoleamine 2,3-dioxygenase 1 (IDO1). Rv1737c-activated macrophages upregulated interleukin (IL)-4, IL-10, and Foxp3 T cells proliferation in vitro. Furthermore, the interaction of Rv1737c with macrophages was found to depend on the Toll-like receptor 2 (TLR2) pathway. It augmented nuclear factor κB (NF-κB) phosphorylation and co-stimulatory molecule expression. Thus, this study provides a crucial insight into a strategy adopted by Mtb to survive in the host by inducing tolerogenic macrophage expansion.

IL-10 Dampens the Th1 and Tc Activation through Modulating DC Functions in BCG Vaccination.

BCG, the only registered vaccine against Mycobacterial Tuberculosis (TB) infection, has been questioned for its protective efficacy for decades. Although lots of efforts were made to improve the BCG antigenicity, few studies were devoted to understand the role of host factors in the variability of the BCG protection. Using the IL-10KO mice and pulmonary tuberculosis infection model, we have addressed the role of IL-10 in the BCG vaccination efficacy. The data showed that IL-10-deficient dendritic cells (DCs) could promote the immune responses through upregulation of the surface costimulatory molecule expression and play an orchestra role through activating CD4+T cell. IL-10-deficient mice had higher IFN γ, TNF α, and IL-6 production after BCG vaccination, which was consistent with the higher proportion of IFN γ +CD3+, IFN γ +CD4+, and IFN γ +CD8+ T cells in the spleen. Particularly, the BCG-vaccinated IL-10KO mice showed less inflammation after TB challenge compared to WT mice, which was supported by the promoted Th1 and Tc, as well as the downregulated Treg responses in IL-10 deficiency. In a conclusion, we demonstrated the negative relationship between Th1/Tc responses with IL-10 production. IL-10 deficiency restored the type 1 immune response through DC activation, which provided better protection against TB infection. Hence, our study offers the first experimental evidence that, contrary to the modulation of BCG, host immunity plays a critical role in the BCG protective efficacy against TB.

Factors associated with disease progression and viral replication in patients with chronic hepatitis B virus infection.

Hepatitis B virus (HBV) infection remains a severe clinical concern in China. Of note, the progression of HBV infection varies between different populations. To identify the factors that influence the disease progression and prognosis, a total of 478 chronic HBV-infected patients were enrolled, and liver function parameters, HBV DNA levels and hepatic fibrosis indices were analyzed. First, the results demonstrated a significant difference in hepatitis B e antigen (HBeAg) expression between male and female patients (χ2=4.061, P=0.044). Furthermore, when comparing either HBeAg-negative or -positive male and female patients, males exhibited a greater variation in HBV DNA levels. Although significant differences between male and female patients in certain abnormal ratios of liver function parameters were identified, a trend in the differences was observed in the HBeAg-negative and -positive groups. When considering age, the results of the present study confirmed that HBV DNA levels decreased with advanced age, and the values of the majority of biomarkers exhibited an evident decreasing trend with increasing age. In addition, it was demonstrated that all HBeAg seropositive patients had higher levels of hepatic fibrosis indexes and higher abnormal ratios of hepatic fibrosis values in their serum when compared with those of HBeAg seronegative patients, particularly with regard to serum IV collagen. The present results revealed that HBV DNA replication was closely associated with liver function; however, it was notable that in HBeAg-negative patients, the association between HBV DNA levels and liver function was particularly significant among subjects aged <61. Furthermore, this result was not observed in HBeAg-positive patients. In conclusion, the present study indicated the importance of host factors (including sex and age) and viral factors (including HBeAg expression pattern and HBV DNA levels) in the progression of chronic HBV infection, and its influence regarding prognosis and treatment. The present results provide a foundation for clinical management strategies for chronic HBV infection, particularly in individual schemes.

Perturbation of Ephrin Receptor Signaling and Glutamatergic Transmission in the Hypothalamus in Depression Using Proteomics Integrated With Metabolomics.

Hypothalamic dysfunction is a key pathological factor in inflammation-associated depression. In the present study, isobaric tags for relative-absolute quantitation (iTRAQ) combined with mass spectrometry and gas chromatography-mass spectrometry (GC-MS) were employed to detect the proteomes and metabolomes in the hypothalamus of the lipopolysaccharide (LPS)-induced depression mouse, respectively. A total of 187 proteins and 27 metabolites were differentially expressed compared with the control group. Following the integration of bi-omics data, pertinent pathways and molecular interaction networks were further identified. The results indicated altered molecules were clustered into Ephrin receptor signaling, glutamatergic transmission, and inflammation-related signaling included the LXR/RXR activation, FXR/RXR activation, and acute phase response signaling. First discovered in the hypothalamus, Ephrin receptor signaling regulates N-methyl-D-aspartate receptor (NMDAR)-predominant glutamatergic transmission, and further acted on AKT signaling that contributed to changes in hypothalamic neuroplasticity. Ephrin type-B receptor 2 (EPHB2), a transmembrane receptor protein in Ephrin receptor signaling, was significantly elevated and interacted with the accumulated NMDAR subunit GluN2A in the hypothalamus. Additionally, molecules involved in synaptic plasticity regulation, such as hypothalamic postsynaptic density protein-95 (PSD-95), p-AKT and brain-derived neurotrophic factor (BDNF), were significantly altered in the LPS-induced depressed group. It might be an underlying pathogenesis that the EPHB2-GluN2A-AKT cascade regulates synaptic plasticity in depression. EPHB2 can be a potential therapeutic target in the correction of glutamatergic transmission dysfunction. In summary, our findings point to the previously undiscovered molecular underpinnings of the pathophysiology in the hypothalamus of inflammation-associated depression and offer potential targets to develop antidepressants.

The DosR antigen Rv1737c from Mycobacterium tuberculosis confers inflammation regulation in tuberculosis infection.

There is an urgent need to identify the potential risk factors for activating latent Mycobacterium tuberculosis infection. In this study, we evaluated the immune function of Rv1737c, which is a latency-associated antigen of dormancy survival regulator (DosR) of M. tuberculosis in a mouse model. Our data showed that mice pretreated with recombinant Rv1737c (rRv1737c) exhibited higher levels of antigen-specific antibodies (IgG, IgM and IgA) than sham-treated mice. Following Bacilli Calmette-Guerin (BCG) challenge, rRv1737c adjuvanted with cholera toxin subunit B (CTB) induced diffuse lung inflammation and fibrosis compared to the control mice. The inflammatory pathogenesis due to rRv1737c pre-exposure was associated with a switch in the macrophage phenotype from M1 to activated M2 and was characterized by IL-10 production. Intracellular cytokine analysis further showed that the rRv1737c-pretreated mice exhibited an increased frequency of Th2 cells in the lungs, lymph nodes and spleen after BCG challenge. Furthermore, IFN-γ expression increased in the lungs after rRv1737c pretreatment compared to that in the sham mice. Accordingly, lung cells from rRv1737c-immunized mice stimulated with killed BCG produced higher levels of multiple cytokines, such as IFN-γ, IL-10 and IL-6. The results confirmed that the pathological features of rRv1737c promoted inflammation. Overall, our findings provide direct evidence of the pro-inflammatory function of rRv1737c in a murine model of BCG infection, indicating that Rv1737c is a pathogenic antigen of M. tuberculosis and may be key to the recurrence of latent infection.

The Immunoregulation of Th17 in Host against Intracellular Bacterial Infection.

T helper 17 cells (Th17) constitute a distinct subset of helper T cells with a unique transcriptional profile (STAT3, RORγ, and RORα), cytokine production pattern (IL17 family), and requirement of specific cytokines for their differentiation (TGF-ß, IL6, IL21, and IL23). Recent studies involving experimental animals and humans have shown that Th17/IL17 plays a crucial role in host defense against a variety of pathogens, including bacteria and viruses. The underlying mechanisms by which Th17 performs include dendritic cell (DC) regulation, neutrophil recruitment, Th1 modulation, and T regulatory cell (Treg) balance. In recent years, researchers have generated an accumulating wealth of evidence on the role of Th17/IL17 in protective immunity to intracellular bacterial pathogens, such as Mycobacterium tuberculosis and Chlamydia trachomatis, which are one of the most important pathogens that inflict significant socioeconomic burden across the globe. In this article, we reviewed the current literature on the functions and mechanisms by which Th17/IL17 responds to intracellular bacterial infections. A better understanding of Th17/IL17 immunity to pathogens would be crucial for developing effective prophylactics and therapeutics.

The prognostic significance of preoperative serum albumin in urothelial carcinoma: a systematic review and meta-analysis.

Preoperative serum albumin has been considered to be closely correlated with the prognosis of various cancers, including urothelial carcinoma (UC). However, to date, this conclusion remains controversial. The aim of this meta-analysis is to investigate the prognostic significance of preoperative serum albumin in UC. A literature search was performed in PubMed, Web of Science, Embase, and Cochrane Library up to 4 July 2017. Herein, a total of 15506 patients from 23 studies were enrolled in our meta-analysis. Decreased preoperative serum albumin level predicted poor overall survival (OS) (HR = 1.88, 95% CI: 1.44-2.45, P<0.0001), cancer-specific survival (CSS) (HR = 2.03, 95% CI: 1.42-2.90, P=0.0001), recurrence-free survival (HR = 1.85, 95% CI: 1.15-2.97, P=0.01), 30-day complications (30dCs) after surgery (odds ratio (OR) = 1.93, 95% CI: 1.16-3.20, P=0.01), and 90-day mortality after surgery (OR = 4.24, 95% CI: 2.20-8.16, P<0.001). The subgroup analyses indicated that low preoperative serum albumin level is still positively associated with a worse prognosis of UC based on ethnicity, cut-off value, tumor type, analyses type, and sample size. Our meta-analysis indicated that reduced preoperative serum albumin level was a predictor of poor prognosis of UC.

A Modified Ficoll-Paque Gradient Method for Isolating Mononuclear Cells from the Peripheral and Umbilical Cord Blood of Humans for Biobanks and Clinical Laboratories.

Although the Ficoll-Paque method is classically used to isolate peripheral blood mononuclear cells (PBMCs), modifications in this method are required for a more rapid and economic output for biobanks and clinical laboratories, particularly in developing countries. In this study, we addressed this issue by modifying the Ficoll-Paque method for the isolation of PBMCs or mononuclear cells from the peripheral and the umbilical cord blood of healthy and diseased (infected, anemic, and chronic obstructive pulmonary disease) adult individuals. In the modified method, we initiated the cell isolation process from the buffy coat layer, which appears in the interface between the plasma and sediments after centrifugation, instead of using the whole blood as described in the classic method. Although the PBMC yield by the modified method was about 12% less than in the classic method, the number of PBMCs isolated by the modified method was more than one million, which is enough for different research/diagnostic purposes, such as multi-omics detection. Assessment of cell viability and purity by hematology analyzer and trypan blue showed no significant difference between the viability and purity of the PBMCs isolated by these two methods in almost all groups, except samples from the infected and cord blood groups, where lower PBMC purity with higher granulocyte contamination were observed. In addition, at delayed processing time points, all parameters for the two methods were decreased in a time-dependent manner, especially at 8, 12, or 24 hours after the sample collection. In summary, the performance of PBMC isolation by the classic and modified methods mainly relies on the PBMC ratio in original samples. The modified method could be preferred for PBMC isolation because of its time and cost savings, especially for the biobanks and clinical laboratories in developing countries.

Imbalance in amino acid and purine metabolisms at the hypothalamus in inflammation-associated depression by GC-MS.

Hypothalamic dysfunction is a key factor in depression; increasing evidence highlights neuroinflammation abnormalities as well as imbalances in neurotransmitters and the purinergic system in the pathophysiology of depression. However, little is known about the metabolomic changes in the hypothalamus of depressed patients with neuroinflammation. Herein, taking advantage of the well-established lipopolysaccharide (LPS)-induced depression mouse model, we measured metabolic changes in the hypothalamus using gas chromatography-mass spectrometry (GC-MS). Sucrose preference test (SPT), open field test (OFT), forced swimming test (FST), and tail suspension test (TST) were conducted to assess our depressive model. To better understand the metabolic disturbances occurring in the hypothalamus of depressed mice, multivariate statistics were applied to analyse the clinical significance of differentially expressed metabolites in the hypothalamus of mice with LPS-induced depression. Bioinformatic analysis was conducted to detect potential relationships among the changed metabolites. The data confirmed that mice with LPS-induced depression were good mimics of depression patients in some characteristic symptoms such as decreased sucrose intake and increased immobility. In our study, 27 differentially expressed metabolites were identified in the hypothalamus of mice with LPS-induced depression. Herein, seventeen of these metabolites decreased, whereas 10 metabolites increased. These molecular changes were closely related to perturbations in the amino acid and purine metabolisms. Our data indicate that dysfunction of amino acid and purine metabolisms is one of main characteristics of inflammation-mediated depression. These results provide new insights into the mechanisms underlying depression, which may shed some light on the role of the hypothalamus in the pathogenesis of inflammation-mediated depression.

[Antigenic Characterization of Immunodominant Epitopes of Alpha-8 giardin in Giardia lamblia].

Objective: To identify the dominant epitopes of α-8 giardin in Giardia lamblia, and analyze their immunoreactivity. Methods: Three dominant epitopes G1（7-17 aa）, G2（30-40 aa） and G3（296-306 aa） were predicted for α-8 giardin by bioinformatic analysis using DNAstar, Biosun and CLUSTAL W softwares. Each epitope was conjugated to keyhole limpethemocyanin (KLH) and then used to immunize female Chinchilla rabbits via multi-point（8-10 points） subcutaneous injections on the back（0.5 mg conjugate/rabbit, 100 µl at each point）. Then the rabbits were boosted（0.2 mg conjugate/rabbit） on days 14, 21 and 28 after the first immunization. Blood was collected prior to each immunization, and carotid artery blood（50 ml） was collected on day 7 after the last immunization. The antibody titer for anti-KLH-G1, anti-KLH-G2 and anti-KLH-G3 sera was determined with indirect ELISA. The reactivity of the three anti-sera with recominant giardin (rGiardin) was analyzed with Western blotting. Results: The concentration of the purified conjugates KLH-G1, KLH-G2, and KLH-G3 was 0.66, 0.95 and 0.25 mg/ml， respectively. ELISA showed that the antibody titer for anti-KLH-G1, anti-KLH-G2 and anti-KLH-G3 sera was 1∶12800, 1∶51200, 1∶51200, respectively. SDS-PAGE revealed a specific band at M(r) 36 000 for the three anti-sera. Western blotting showed that the three anti-sera all specifically recognized rGiardin. Conclusion: Immunization with the KLH-G1, KLH-G2, and KLH-G3 conjugates induced production of specific IgG antibody in rabbits, which can recognize rGiardin.

[Prokaryotic Expression and Immunoreactivity Analysis of α-8 Giardin in Giardia lamblia].

OBJECTIVE: To clone and express α8-giardin gene of Giardia lamblia, and analyze its immunoreactivity. METHODS: The open reading frame (ORF) of α8-giardin gene was amplified by PCR. The PCR product was cloned into prokaryotic expression vector pET-30a (+) with restriction enzymes EcoR I and Xho I . The recombinant vector pET30a (+)-α8-giardin was transformed into E. coli BL21 (DE3), and the positive clones were then selected. The constructed pET30 a (+)-α8-giardin was induced with IPTG for expression, and purified through Ni-affinity chromatography. The recombinant protein was examined by SDS-PAGE and Western blotting. RESULTS: The length of α8-giardin gene was 930 bp. PCR and restriction enzyme digestion analysis confirmed the construction of recombinant plasmid pET30a (+)-α8-giardin. SDS-PAGE and Western blotting analysis showed that the recombinant protein rGiardin (about M, 36,000) was expressed in E. coli as inclusion body protein, and reacted positively with anti-His tag antibody and rabbit anti-G. lamblia serum. CONCLUSION: The recombinant plasmid pET30a (+)-α8-giardin is constructed, and the purified rGiardin protein shows immunoreactivity.