Psoriasis and risk of central neurological disorders in European populations: A mendelian randomization analysis.

Background: People with psoriasis are at a higher risk for having central neurological problems, according to previous studies; however, it is unclear if there is a genetic link between the risk of developing psoriasis and developing central neurological disorders. In this study, the possible link between genetically predisposed psoriasis and the risk of common central nervous system disorders was comprehensively investigated. Methods: There was no overlap in the participant populations between the psoriasis and central neurological disorders genome-wide association studies, which provide the genetic resources. Inverse variance weighting, often used as Mendelian randomization (MR) analysis, is the main method. To guarantee the accuracy of our findings, a number of sensitivity studies were carried out. Results: MR analysis revealed that although psoriasis was reported to increase the risk of Parkinson's disease (OR = 4.42, 95%CI[-3.81～6.79], P = 0.58) and epilepsy (OR = 4.71, 95%CI[-2.20～5.30], P = 0.42) in this study, they did not reach statistical significance. At the same time, this study did not observe that psoriasis would increase the risk of multiple sclerosis (OR = 0.01, 95%CI [-12.61～3.83], P = 0.30) and migraine (OR = 0.99, 95%CI [0.94～1.05], P = 0.78), they also did not reach statistical significance. Under all sensitivity assessments, the results remained stable. Conclusions: Psoriasis does not appear to raise the risk of migraine, Parkinson's disease, multiple sclerosis, or epilepsy, according to our study.

An integrative model with HLA-DR, CD64, and PD-1 for the diagnostic and prognostic evaluation of sepsis.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and progressive immunosuppression with high mortality. HLA-DR, CD64, and PD-1 were assumed to be useful biomarkers for sepsis prediction. However, the ability of a combination of these biomarkers has not been clarified. METHODS: An observational case-control study was conducted that included 30 sepsis patients, 30 critically ill patients without sepsis admitted to the intensive care unit (ICU), and 32 healthy individuals. The levels of HLA-DR, CD64, and PD-1 expression in peripheral blood immune cells and subsets was assayed on Days 1, 3, and 5, and the clinical information of patients was collected. We compared these biomarkers between groups and evaluated the predictive validity of single and combined biomarkers on sepsis mortality. RESULTS: The results indicate that PD-1 expression on CD4- CD8- T (PD-1+ CD4- CD8- T) (19.19% ± 10.78% vs. 9.88% ± 1.79%, p = .004) cells and neutrophil CD64 index (nCD64 index) (9.15 ± 5.46 vs. 5.33 ± 2.34, p = .001) of sepsis patients were significantly increased, and HLA-DR expression on monocytes (mHLA-DR+ ) was significantly reduced (13.26% ± 8.06% vs. 30.17% ± 21.42%, p = 2.54 × 10-4 ) compared with nonsepsis critically ill patients on the first day. Importantly, the expression of PD-1+ CD4- CD8- T (OR = 0.622, 95% CI = 0.423-0.916, p = .016) and mHLA-DR+ (OR = 1.146, 95% CI = 1.014-1.295, p = .029) were significantly associated with sepsis mortality. For sepsis diagnosis, the mHLA-DR+ , PD-1+ CD4- CD8- T, and nCD64 index showed the moderate individual performance, and combinations of the three biomarkers achieved greater diagnostic value (AUC = 0.899, 95% CI = 0.792-0.962). When adding PCT into the combined model, the AUC increased to 0.936 (95% CI = 0.840-0.983). For sepsis mortality, combinations of PD-1+ CD4- CD8- T and mHLA-DR+ , have a good ability to predict the prognosis of sepsis patients, with an AUC = 0.921 (95% CI = 0.762-0.987). CONCLUSION: These findings indicate that the combinations of HLA-DR, CD64, and PD-1 outperformed each of the single indicator in diagnosis and predicting prognosis of sepsis.

Differentiation between Thalassemia Trait and Iron Deficiency Anemia Based on Low Hemoglobin Density and Microcytic Anemia Factor.

BACKGROUND: The most common causes of microcytic hypochromic anemia are thalassemia trait (TT) and iron deficiency anemia (IDA). Clinically, the differential diagnosis of TT and IDA is crucial, but it is typically challenging. Thus, in order to differentiate between TT and IDA, we seek to develop a new discriminative index on an automatic hematology analyzer utilizing the two new RBC characteristics of low hemoglobin density (LHD) and microcytic anemia factor (MAF). METHODS: We recruited a total of 323 subjects, including 115 healthy controls, 83 TT, and 125 IDA. An automated hematology analyzer (DxH800, Beckman Coulter) was used to determine peripheral blood parameters; LHD and MAF were calculated using the parameters of MCHC, Hb, and MCV. The receiver operating characteristic (ROC) curve was used to determine the cutoff values and evaluate the diagnostic value for TT and IDA. RESULTS: LHD was significantly lower in TT than IDA, whereas MAF was higher. To distinguish between TT and IDA, a new formula based on LHD and MAF was developed, with a cutoff value of 0.5, AUC of 0.9706 (95% CI: 0.9503 - 0.9909), and specificity, sensitivity, positive predictive value, and negative predictive values were 92.91%, 91.36%, 89.16%, and 94.40%, respectively. The new formula has proven advantages over conventional indices, such as RDW-SD, MCV, MCH, etc. Conclusions: The RBC parameters LHD and MAF detected by hematology analyzer could be useful for screening for TT and IDA. Our new formula outperforms other discriminant formulas in the literature with high sensitivity and specificity, is simple, rapid, and can aid in early detection and management.

Genomic features and virulence characteristics of a rare Burkholderia thailandensis strain causing human infection.

Introduction. Burkholderia thailandensis is a clinically rare opportunistic pathogen in the genus Burkholderia, and the genomic features and virulence characteristics of B. thailandensis strains that cause human infection remain unclear.Gap Statement. B. thailandensis strains with different virulence induce different host innate immune responses in vitro.Aim. This work aimed to understand the sequence diversity, phylogenetic relationship, and virulence of B. thailandensis BPM causing human infection.Methodology. The comparative molecular and genomic analyses, and mouse infection studies were applied to analyse the virulence and genomic features of B. thailandensis BPM originating from China.Results. The whole genome sequence analysis showed that the genomes of BPM and other avirulent B. thailandensis strains were broadly similar, comprising two highly syntenic chromosomes with comparable numbers of coding regions (CDs), protein family distributions, and horizontally acquired genomic islands. By examining species-specific genomic regions, we obtained molecular explanations for previously known differences in virulence and discovered the potential specific virulence-associated genes of BPM, which likely work together to confer the virulence of BPM. Significantly reduced LD50 and survival rates during mouse infection experiments were found in BPM compared to the avirulent B. thailandensis E264 (BtE264).Conclusion. Taken together, the results of this study provide basic information on the genomic features and virulence characteristics of the virulent B. thailandensis strain BPM, which is helpful for understanding its evolution as it relates to pathogenesis and environmental adaptability.

A feedback loop between NONHSAT024276 and PTBP1 inhibits tumor progression and glycolysis in HCC by increasing the PKM1/PKM2 ratio.

Hepatocellular carcinoma (HCC) is one of the most common malignancies with a hallmark of aberrant metabolism. The mechanism of long noncoding RNAs (lncRNAs) underlying the aggressive behaviors and glycolysis of HCC is poorly understood. In this study, we identified, via microarray, novel lncRNA NONHSAT024276 as a potential tumor suppressor in HCC. The downregulation of NONHSAT024276 closely correlated with larger tumor volume and higher aspartate transaminase levels. Functional experiments were performed to verify the role of NONHSAT024276 in HCC progression, and the negative effects of NONHSAT024276 expression on cell proliferation and migration were identified. Mechanistically, NONHSAT024276 directly bound to polypyrimidine tract-binding protein 1 (PTBP1), downregulating it and forming a feedback loop. Furthermore, NONHSAT024276 increased the ratio of M1 and M2 isoforms of pyruvate kinase (PKM1/PKM2) and also obstructed the PTBP1/PKM-mediated glycolysis. Finally, the rescue assays confirmed that NONHSAT024276 functioned in HCC via downregulating PTBP1 to increase the PKM1/PKM2 ratio. Hence, this study supported a model in which NONHSAT024276 downregulated PTBP1 and formed a feedback loop to increase the PKM1/PKM2 ratio to inhibit glycolysis and progression of HCC, opening new prospects for preventing or treating HCC.

[Value of peripheral blood monocyte subsets and CD64 expression in the diagnosis and prognosis of sepsis].

OBJECTIVE: To explore the value of monocyte subsets and CD64 expression in the diagnosis and prognosis of sepsis. METHODS: A prospective case-control study was designed. 30 septic patients and 30 non-septic patients who were admitted to the intensive care unit (ICU) of the PLA Army Characteristic Medical Center from March 2021 to March 2022 were enrolled. After 1, 3, and 5 days of ICU admission, peripheral blood samples were taken from patients. Flow cytometry was used to detect the proportion of monocyte subsets and the expression level of CD64 on the surface, and the difference of expression between patients in two group was analyzed. The risk variables for sepsis were analyzed using single-factor and multi-factor Logistic regression. The diagnostic efficacy of each risk factor for sepsis was determined using the receiver operator characteristic curve (ROC curve). RESULTS: One day after ICU admission, the proportions of monocytes and classic monocytes in white blood cells (WBC) of septic patients were significantly lower than those of non-septic patients [proportion of monocytes to WBC: (4.13±2.03)% vs. (6.53±3.90)%, proportion of classic monocytes to WBC: 1.97 (1.43, 2.83)% vs. 3.37 (1.71, 5.98)%, both P < 0.05]. The proportion of non-classical monocytes in monocytes was significantly higher in septic patients than that in non-septic patients [(11.42±9.19)% vs. (6.57±4.23)%, P < 0.05]. The levels of CD64 expression in monocytes, classic monocytes, intermediate monocytes and non-classic monocytes were significantly higher in sepsis patients than those in non-septic patients [mean fluorescence intensity (MFI): 13.10±6.01 vs. 9.84±2.83 for monocytes, 13.58±5.98 vs. 10.03±2.84 for classic monocytes, 13.48±6.35 vs. 10.22±2.99 for intermediate monocytes, 8.21±5.52 vs. 5.79±2.67 for non-classic monocytes, all P < 0.05]. Multivariate Logistic regression research showed that CD64 in typical monocytes [odds ratio (OR) = 1.299, 95% confidence interval (95%CI) was 1.027-1.471, P = 0.025] and the proportion of non-typical monocytes in monocytes (OR = 1.348, 95%CI was 1.034-1.758, P = 0.027) were the independent risk factors for sepsis. ROC curve showed that the area under the ROC curve (AUC) of CD64 expression of classical monocytes, the fraction of non-classical monocytes in monocytes, and procalcitonin (PCT) in the diagnosis of sepsis was 0.871. A correlation analysis revealed a negative relationship between the acute physiology and chronic health status evaluation II (APACHE II) on the first, third, and fifth days following ICU admission and the expression level of CD64 in patients' classic monocytes (r values were -0.264, -0.428 and -0.368, respectively, all P < 0.05). CONCLUSIONS: Combining the proportion of non-classical monocytes in monocytes, the level of plasma PCT, and the CD64 expression of classic monocytes in peripheral blood has good efficacy in identifying sepsis and assessing its severity.

The diagnostic model for early detection of gestational diabetes mellitus and gestational diabetic nephropathy.

BACKGROUND: Gestational diabetes mellitus (GDM) and gestational diabetic nephropathy (GDN) have become an increasingly serious problem worldwide, which can cause a large number of adverse pregnancy consequences for mothers and infants. However, the diagnosis of GDM and GDN remains a challenge due to the lack of optimal biomarkers, and the examination has high requirements for patient compliance. We aimed to establish a simple early diagnostic model for GDM and GDN. METHODS: We recruited 50 healthy pregnant (HP), 99 GDM patients, 99 GDN patients at Daping Hospital. Renal function indicators and blood cell indicators were collected for all patients. RESULTS: Compared with HP, GDM, and GDN patients exhibited significantly higher urea/creatinine ratio and NEU. The diagnostic model1 based on the combination of urea/creatinine ratio and NEU was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.77 (0.7, 0.84) in distinguishing GDM from HP, and the AUC of the diagnostic model was 0.94 (0.9, 0.97) in distinguishing GDN from HP. Meanwhile, the diagnostic model2 based on the combination of ß2-mG, PLT, and NEU in GDM and GDN patients was built using logistic regression, and the area under the ROC curve (AUC ROC) was 0.79 (0.73, 0.85), which was larger than the individual biomarker AUC. CONCLUSION: Our study demonstrated that the diagnostic model established by the combination of renal function indicators and blood cell indicators could facilitate the differential diagnosis of GDM and GDN patients.

Duplex Reverse Transcription Multienzyme Isothermal Rapid Amplification Assays for Detecting SARS-CoV-2.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a highly contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that brings a significant public health challenge. A rapid and simple method is necessary for testing suspected samples and screening the population. METHODS: To better monitor sample effectiveness, this study described a method to detect nucleocapsid protein gene (N gene) of SARS-CoV-2 and human ACTB gene employing real-time duplex reverse transcription multienzyme isothermal rapid amplification (RT-MIRA) assays. RESULTS: The established real-time duplex RT-MIRA assays showed that no cross-reactions were observed to other pathogens and the detection limit was 100 copies/reaction. Using simulated clinical samples to test established assays further and the amplification process took no more than 20 minutes at 42°C. CONCLUSIONS: RT-MIRA assays are faster and easier than reverse transcription real-time polymerase chain reaction (RT-PCR). It is expected to be further optimized and evaluated in the detection of SARS-CoV-2 confirmed cases.

Data for high-throughput screening of enzyme mutants by comparison of their activity ratios to an enzyme tag.

Data in this article are associated with the research article "High-throughput screening of enzyme mutants by comparison of their activity ratios to an enzyme tag" (Li et al., 2019) [1]. Data are provided on the development of a system for high-throughput (HTP) screening of mutants through the comparison of the activity ratios of an applicable enzyme and its mutants to a suitable tag enzyme in cell lysates of their fused forms, with Escherichia coli alkaline phosphatase (ECAP) as the tag fused to the N-terminus of Pseudomonas Aeruginosa arylsulfatase (PAAS) and its mutants via a flexible linker. Data were made publicly available for further analyses.

High-throughput screening of enzyme mutants by comparison of their activity ratios to an enzyme tag.

With Escherichia coli alkaline phosphatase (ECAP) as the tag fused to the N-terminus of Pseudomonas Aeruginosa arylsulfatase (PAAS) and its mutants via a flexible linker, the comparison of the activity ratios of an applicable enzyme and its mutants to a suitable enzyme tag in cell lysates of their fused forms was tested for high-throughput (HTP) screening of mutants. After both the induced expression of a fused form and alkaline lysis of the transformed cells in microplate wells, HTP assay of the activities of ECAP and PAAS/mutant was realized via spectrophotometric-dual-enzyme-simultaneous-assay to derive their activity ratio. The successful induced expression of fused forms required ECAP activities higher than 5.3 U/L in cell lysates. Of three representative fused PAAS/mutants in cell lysates, there were similar proteolytic fragments and the comparison of their activity ratios greatly enhanced the recognition of weakly positive mutants. After saturation mutagenesis at M72 of the fused PAAS, the activity ratios of PAAS/mutants to ECAP in cell lysates of their fused forms were proportional to specific activities of their non-fused counterparts in cell lysates by an immunoturbidimetric assay. Therefore, the proposed strategy was absorbing for both HTP screening of mutants and HTP elucidation of sequence-activity relationship of applicable enzymes.

VEGFR3 inhibition chemosensitizes lung adenocarcinoma A549 cells in the tumor-associated macrophage microenvironment through upregulation of p53 and PTEN.

In lung adenocarcinoma, loss of p53 and PTEN in tumors are associated with decreased response to chemotherapy and decreased survival. A means to pharmacologically upregulate p53 and PTEN protein expression could improve the prognosis of patients with p53- and PTEN-deficient tumors. In the present study we revealed that vascular endothelial growth factor receptor 3 (VEGFR3) inhibition in lung adenocarcinoma cells was associated with improved expression levels of both p53 and PTEN in the tumor-associated macrophage (TAM) microenvironment. Inhibition of VEGFR3 in lung adenocarcinoma cells was associated with growth arrest and decreased migration and invasion. The upregulation of p53 and PTEN protein expression after VEGFR3 inhibition decreased chemotherapy resistance and improved chemosensitivity in co-cultured A549 cells in which p53 and PTEN expression were decreased. Finally, we demonstrated that TAMs promoted the expression of VEGF-C and its receptor VEGFR3. Western blot analysis revealed the co-cultured A549 cells with TAMs are a primary source of VEGF-C and VEGFR3 in the tumor microenvironment. Our studies revealed that VEGFR3 inhibition may be a pharmacological means to upregulate p53 and PTEN protein expression and improve the outcome of patients with p53- and PTEN-deficient tumors.

Data for high-throughput estimation of specific activities of enzyme/mutants in cell lysates through immunoturbidimetric assay of proteins.

Data in this article are associated with the research article "Highthroughput estimation of specific activities of enzyme/mutants in cell lysates through immunoturbidimetric assay of proteins" (Yang et al., 2017) [1]. This article provided data on how to develop an immunoturbidimetric assay (ITA) of enzyme/mutants as proteins in cell lysates in high-throughput (HTP) mode together with HTP assay of their activities to derive their specific activities in cell lysates for comparison, with Pseudomonas aeruginosa arylsulfatase (PAAS) and Bacillus fastidious uricase (BFU) plus their mutants as models. Data were made publicly available for further analyses.

High-throughput estimation of specific activities of enzyme/mutants in cell lysates through immunoturbidimetric assay of proteins.

High-throughput estimation of specific activities of an enzyme and its mutants in a group (enzyme/mutants) in cell lysates via high-throughput assay of their activities and separate immunoturbidimetric assay (ITA) of their proteins was proposed. Pseudomonas aeruginosa arylsulfatase (PAAS) and Bacillus fastidious uricase (BFU) served as two models. ITA employed 0.75 mg of antisera against PAAS or BFU as the reference in 96-well microplates to measure the difference of extinction at 340 and 700 nm. According to the calibration curve, ITA quantified the reference from 0.40 to about 2.4 µg. The consistency among the abundance of enzyme/mutants through ITA of proteins in cell lysates prepared under the same conditions supported their consistent immunological reactivity to the antisera. Specific activities of PAAS/mutants or BFU/mutants in cell lysates through ITA of proteins showed excellent proportionality to those carefully determined after purification. Receiver-operating-characteristic (ROC) analysis of specific activities through ITA of proteins gave a higher area-under-curve than those for ROC analyses of other activity indices, which allowed the recognition of a PAAS/mutant of 50% higher activity after cell amplification in high-throughput mode. Therefore, ITA of enzyme/mutants as proteins is promising to estimate their specific activities in cell lysates in high-throughput mode for quantitative comparison.

Polyclonal Antibodies in Microplates to Predict the Maximum Adsorption Activities of Enzyme/Mutants from Cell Lysates.

With microplate-immobilized polyclonal antibodies against a starting enzyme or its active mutant bearing consistent accessible epitopes, the maximum activity of an adsorbed enzyme/mutant (Vs) was predicted for comparison to recognize weakly-positive mutants. Rabbit antisera against Escherichia coli alkaline phosphatase (ECAP) were fractionated with 33% ammonium sulfate to yield crude polyclonal antibodies for conventional immobilization in 96-well microplates. The response curve of the activities of ECAP/mutant adsorbed by the immobilized polyclonal antibodies to protein quantities from a cell lysate was fit to an approximation model to predict Vs. With 0.4 µg crude polyclonal antibody for immobilization, Vs was consistent for ECAP in cell lysates bearing fourfold differences in its apparent specific activities when its abundance was greater than 0.9%. The ratio of Vs of the mutant R168K to that of ECAP was 1.5 ± 0.1 (n = 2), consistent with that of their specific activities after affinity purification. Unfortunately, the prediction of Vs with polyclonal antibodies that saturated microplate wells was ineffective to Pseudomonas aeruginosa arylsulfatase bearing less than 2% specific activity of ECAP. Therefore, with microplate-immobilized polyclonal antibodies to adsorb enzyme/mutants from cell lysates, high-throughput prediction of Vs was practical to recognize weakly-positive mutants of starting enzymes bearing fairly-high activities.