Serum globulin levels in predicting the extent of hepatic fibrosis in patients with recurrent post-transplant hepatitis C infection

Spleen-based proteogenomics reveals that Escherichia coli infection induces activation of phagosome maturation pathway in chicken

Avian pathogenic Escherichia coli (APEC) leads to economic losses in poultry industry and is also a threat to human health. Various strategies were used for searching virulence factors, while little is known about the mechanism by which APEC survives in host or is eliminated by host. Thus, chicken colibacillosis model was constructed by intraperitoneally injecting E. coli O78 in this study, then the protein dynamic expression of spleen was characterized at different post-infection times by quantitative proteome. Comparative analysis showed that E. coli induced significant dysregulation at 72 h post infection in spleen tissue. Transcriptomic method was further used to assess the changes of dysregulated proteins at 72 h post infection at the mRNA level. Total 278 protein groups (5.7%) and 2,443 genes (24.4%) were dysregulated, respectively. The upregulated proteins and genes were consistently enriched in phagosome and lysosome pathways, indicating E. coli infection activates phagosome maturation pathway. The matured phagolysosome might kill the invasive E. coli. This study illuminated the genetic dysregulation in chicken spleen at the protein and mRNA levels after E. coli infecting and identified candidate genes for host response to APEC infection.

A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome

Background

Patients with autoimmune hepatitis-primary biliary cholangitis (AIH-PBC) overlap syndrome have a worse prognosis compared to AIH or PBC alone and accurately predicting the severity and dynamically monitoring the progression of disease are therefore essential. We aimed to develop a nomogram-based model to predict advanced liver fibrosis in patients with AIH-PBC overlap syndrome.

Methods

A total of 121 patients with AIH-PBC overlap syndrome were retrospectively included and randomly assigned to a development set and a validation set. Backward stepwise regression's best model with the lowest AIC was employed to create a nomogram. Diagnose accuracy was evaluated using the area under the receiver operator characteristic curve (AUROC), calibration analysis, and decision curve analysis (DCA) and was compared with aspartate aminotransferase-to-platelet ratio (APRI) and fibrosis index based on four factors-4 (FIB-4) score.

Results

The median age of patients was 53.0 years (IQR: 46.0-63.0), and female patients accounted for 95.0 %. Platelets, globulin, total bilirubin, and prothrombin time were associated with advanced fibrosis (≥S3) and used to construct an AIH-PBC overlap syndrome fibrosis (APOSF)-nomogram (available online at https://ndth-zzy.shinyapps.io/APOSF-nomogram/). The AUROCs of APOSF-nomogram were 0.845 (95 % CI: 0.754-0.936) and 0.843 (95 % CI: 0.705-0.982) in development set and validation set respectively, which was significantly better than APRI and FIB-4. Calibration revealed that the estimated risk fits well with biopsy-proven observation. DCA outperformed APRI and FIB4 in terms of net benefit, demonstrating clinical utility.

Conclusion

This novel non-invasive web-based online APOSF-nomogram provided a convenient tool for identifying advanced fibrosis in patients with AIH-PBC overlap syndrome. Further prospective, multicenter studies with large sample size are necessary to validate the applicability of APOSF-nomogram.

A Comprehensive Review of Liver Allograft Fibrosis and Steatosis: From Cause to Diagnosis

Despite advances in posttransplant care, long-term outcomes for liver transplant recipients remain unchanged. Approximately 25% of recipients will advance to graft cirrhosis and require retransplantation. Graft fibrosis progresses in the context of de novo or recurrent disease. Recurrent hepatitis C virus infection was previously the most important cause of graft failure but is now curable in the majority of patients. However, with an increasing prevalence of obesity and diabetes and nonalcoholic fatty liver disease as the most rapidly increasing indication for liver transplantation, metabolic dysfunction-associated liver injury is anticipated to become an important cause of graft fibrosis alongside alloimmune hepatitis and alcoholic liver disease. To better understand the landscape of the graft fibrosis literature, we summarize the associated epidemiology, cause, potential mechanisms, diagnosis, and complications. We additionally highlight the need for better noninvasive methods to ameliorate the management of graft fibrosis. Some examples include leveraging the microbiome, genetic, and machine learning methods to address these limitations. Overall, graft fibrosis is routinely seen by transplant clinicians, but it requires a better understanding of its underlying biology and contributors that can help inform diagnostic and therapeutic practices.

Serum globulin levels are associated with HIV reservoir size and immune restoration during long-term ART

OBJECTIVES

The objectives of this study were to analyze the relationship between serum globulin levels and immune restoration and HIV reservoir size during long-term antiretroviral therapy (ART).

METHODS

We enrolled 13 patients living with HIV who had been receiving ART for 5 years. We measured levels of serum globulin, cell-associated (CA) HIV DNA and RNA, and p24 antibody at 0, 1, 3, and 5 years of ART. CD38 and human leukocyte antigen - DR isotype (HLA-DR) were used as activation markers for T-cell activation. Serum concentrations of the inflammatory cytokines interferon gamma-inducible protein (IP)-10 and soluble CD163 (sCD163) were detected by enzyme-linked immunosorbent assay. We analyzed the relationship between serum globulin levels, HIV reservoir size, immune restoration, T-cell immune activation, and inflammatory levels during long-term ART.

RESULTS

Our data showed that serum globulin levels in people living with HIV were higher than in healthy controls and significantly decreased during the first year of ART. Serum globulin levels during long-term ART were positively correlated with CA HIV DNA, CA HIV RNA, p24 antibody levels, and CD8⁺ T-cell counts and negatively correlated with CD4⁺ T-cell counts and CD4/CD8 ratios. Moreover, serum globulin levels were positively correlated with CD4⁺ and CD8⁺ T-cell activation and the concentrations of inflammatory biomarkers IP-10 and sCD163 during long-term ART.

CONCLUSIONS

Our findings suggest that serum globulin levels may be associated with HIV reservoir size and immune restoration during long-term ART.

Combination of albumin-to-globulin ratio and plasma fibrinogen is a sensitive tool for preoperative screening of infected nonunion in patients undergoing reoperation after open reduction and internal fixation: a retrospective study

Background

Accurate preoperative diagnosis of infected nonunion remains a challenge. Here, we evaluated the diagnostic potential of novel biomarkers for infected nonunion.

Methods

A cohort of 275 patients who underwent surgery for suspected septic nonunion after open reduction and internal fixation were enrolled. Preoperatively analyzed clinical parameters included white blood cell (WBC) count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), albumin, globulin, albumin-to-globulin ratio (AGR), plasma D-dimer, plasma fibrinogen, platelet count (PC), monocyte-lymphocyte ratio (MLR), neutrophil–lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). Receiver operating characteristic (ROC) curves, sensitivity, and specificity were utilized to compare the diagnostic potential of those biomarkers.

Results

The WBC count and levels of CRP, ESR, NLR, MLR, PLR, PC, plasma D-dimer, plasma fibrinogen, and globulin in infected nonunion patients were significantly higher (p < 0.05) than those in aseptic patients. The albumin and AGR levels of the infected nonunion group were significantly lower (p < 0.05) than the aseptic group. The ROC curve analysis showed that the diagnostic accuracy of AGR and plasma fibrinogen was good. The combination of AGR with plasma fibrinogen had the highest area under the curve (AUC) (0.916). The sensitivity and specificity were 70.27% and 91.04% for AGR, and 67.57% and 84.08% for plasma fibrinogen, respectively. The combination of AGR with plasma fibrinogen showed a sensitivity of 86.49% and specificity of 92.54%. In patients with comorbidities, the diagnostic accuracy of the combination of AGR with plasma fibrinogen was also good.

Conclusions

AGR and plasma fibrinogen are promising biomarkers to improve the diagnosis of infected nonunion. The combination of AGR with plasma fibrinogen is a sensitive tool for screening infected nonunion.

Albumin to Globulin ratio, Neutrophil to Lymphocyte ratio, and Globulin levels do not outperform ESR or CRP when diagnosing periprosthetic joint infection

OBJECTIVE

To evaluate the relative performance of clinical readouts including serum C-reactive protein (CRP) levels, the erythrocyte sedimentation rate (ESR), globulin (GLB) levels, the albumin to GLB ratio (A/G), and the neutrophil to lymphocyte ratio (NLR) when diagnosing periprosthetic joint infection (PJI).

METHODS

Clinical data was collected from 115 individuals diagnosed in our department between January 2017 and December 2020 with either chronic PJI (29 female, 24 male; median age 71.00 years [range, 41-94 years]) or aseptic loosening (30 female, 32 male; median age 68.50 years [range, 34-85 years]). Patient demographic data were compared, and the relative sensitivity and specificity of preoperative GLB, ESR, CRP, NLR, and A/G values as predictors of PJI diagnosis were assessed.

RESULTS

Median globulin levels in the PJI and aseptic groups were 31.700 g/L (interquartile range [IQR], 28.400-35.300) and 26.600 g/L (IQR, 24.375-30.550), respectively (p < 0.001). The median A/G values in the PJI and aseptic groups were 1.150 (IQR, 0.960-1.255) and 1.510 (IQR, 1.265-1.670), respectively (p < 0.001). The median NLR values in the PJI and aseptic groups were 2.510 (IQR, 1.900-3.335) and 1.850 (IQR, 1.425 to 2.362), respectively (p < 0.001). The median ESR values in the PJI and aseptic groups were 53.000 mm/h (IQR, 35.000-76.500) and 16.000 mm/h (IQR, 7.000-33.000), respectively (p < 0.001). Median CRP levels in the PJI and aseptic groups were 24.890 mg/L (IQR, 10.595-54.095) and 2.245 mg/L (IQR, 0.865-8.6075), respectively (p < 0.001). Area under the receiver operating characteristic (ROC) curve (AUC) values for CRP, ESR, GLB, A/G, and NLR were 0.841 (95% confidence interval, 0.761-0.903), 0.850 (0.771-0.910), 0.747 (0.658-0.824), 0.779 (0.692-0.851), and 0.708 (0.616-0.789), respectively. When GLB > 26.6 g/L, A/G < 1.32, and NLR > 2.1 were utilized as threshold values to diagnose PJI, GLB and A/G were found to exhibit superior sensitivity (90.57%, 81.13%) to that observed for CRP (71.70%) and ESR (79.25%), but the specificity of these two metrics (GLB: 51.61%, A/G: 72.58%) was significantly reduced relative to that for CRP (87.10%) or ESR (75.81%). ROC analyses further revealed that NLR did not exhibit significant advantages in sensitivity (73.58%) or specificity (70.97%) relative to CRP or ESR.

CONCLUSION

Globulin levels, NLR values, and A/G values do not outperform ESR or CRP levels when used to diagnose PJI.

Serum globulin and albumin to globulin ratio as potential diagnostic biomarkers for periprosthetic joint infection: a retrospective review

Background

Periprosthetic joint infection (PJI) has been increasingly documented; however, its preoperative accurate diagnosis remains challenging. Furthermore, there is a dire need to identify appropriate and effective biomarkers. We aimed to evaluate the relationship between globulin, albumin to globulin (A/G) ratio, and development of PJI in patients undergoing revision total joint arthroplasty (TJA).

Methods

A retrospective study was conducted on patients who had undergone revision TJA between 2011 and 2018 (89 with aseptic mechanic failure and 38 with PJI). The serum proteins were explored using univariate analysis followed by multivariate logistic regression. The diagnostic performance of these proteins was assessed by the receiver operating characteristic (ROC) curve.

Results

Higher globulin levels (odds ratio [OR], 1.239; P < 0.001) and lower A/G ratio (OR, 0.007; P < 0.001) were strongly associated with the risk of PJI. ROC curve analysis demonstrated reasonable diagnostic performance for globulin (area under the curve [AUC], 0.77; sensitivity, 78.95%; and specificity, 69.66%) and A/G ratio (AUC, 0.779; sensitivity, 65.79%; and specificity, 78.65%).

Conclusions

Both globulin and A/G ratio were associated with PJI and may serve as potential adjuvant biomarkers in the diagnosis of PJI.

Inflammatory Biomarkers and Liver Histopathology in Non-Uremic and Uremic Chronic Hepatitis C Patients

BACKGROUND

The aim of this study is to investigate the association between hepatic activity index (HAI) and fibrosis score (FS) with inflammation biomarkers in non-uremic and uremic hepatitis C positive patients.

METHODS

Fifty chronic hepatitis C (cHepC) positive patients, having a liver biopsy were included in this study. Liver biopsies were scored according to modified ISHAC scoring system. 25 healthy controls of similar age and gender were also enrolled as control group. Serum YKL-40, neutrophil/lymphocyte ratio (NLR), thrombocyte/lymphocyte ratio (PLR), CRP and Immunoglobulin (IgG, A and M) levels were used to determine inflammation. AST to Platelet Ratio Index (APRI) score was also evaluated. According to biopsy findings patients were divided into 2 groups: low (0-2) and severe (3-6) FS.

RESULTS

Patients with cHepC had increased inflammation compared to the healthy controls. End-stage renal disease (ESRD) patients had higher levels of inflammation markers (NLR, IgG, CRP and YKL-40) and lower HCV RNA levels, HAI and FS compared to non-uremic patients. When patients were grouped into 2 according to FS as mild and severe, IgG (p < 0.001), YKL-40 (p = 0.02) levels and APRI score (p = 0.002) were significantly higher compared to mild FS (p = 0.002). YKL-40 levels (t value: 3.48; p = 0.001) and APRI score (t value: 4.57, p < 0.001) were found as independent associated with FS in non-uremic patients. However, in adjusted models, only APRI score (t value: 3.98, p = 0.002) was an independent associated with FS in ESRD patients.

CONCLUSION

In non-uremic cHepC patients, YKL-40 levels and APRI score may be valuable markers of FS. In ESRD patients, there is not sufficient data for prediction of HAI and FS. In these patients, APRI score may provide better information.

Red blood cell distribution width and globulin, noninvasive indicators of fibrosis and inflammation in chronic hepatitis patients

AIMS

We aimed to develop new simple predictive models for significant fibrosis and inflammation in chronic hepatitis patients using routine laboratory parameters.

METHODS

A total of 218 patients who had undergone liver biopsy were enrolled in our study. Among these, 116 had chronic hepatitis B, 65 had primary biliary cirrhosis, and 37 had autoimmune hepatitis. Patients were divided into two groups: absent-mild (S0-S1, G0-G1) and moderate-severe (S2-S4, G2-G4) according to the histologic severity of liver fibrosis and inflammation. All common demographics and routine laboratory parameters were analyzed.

RESULTS

Red blood cell distribution width (RDW) and globulin values increased with progressive liver fibrosis and inflammation. After adjustment for other potent predictors, liver fibrosis was associated independently with RDW and platelet (odds ratio=0.976 and 1.487, respectively), whereas significant inflammation was associated independently with globulin, alanine aminotransferase, red blood cell, and platelet (odds ratio=1.153, 1.017, 0.392, and 1.487, respectively). The sensitivity and specificity of model A were 73.4 and 79.1% for the detection of significant liver fibrosis [area under the receiver-operating characteristic curve (AUROC)=0.81, P<0.001]. The sensitivity and specificity of model B were 75.9 and 88.9% for predicting advanced liver inflammation (AUROC=0.89, P<0.001). Compared with pre-existing indicators, model A achieved the highest AUROC (0.81, P<0.001) for liver fibrosis, whereas model B showed the highest AUROC (0.89, P<0.001) for liver inflammation.

CONCLUSION

RDW may provide a useful clinical value for predicting liver fibrosis; meanwhile, globulin may provide a useful clinical value for predicting liver inflammation in chronic hepatitis patients with other markers.

Globulin-platelet model predicts minimal fibrosis and cirrhosis in chronic hepatitis B virus infected patients

AIM: To establish a simple model consisting of the routine laboratory variables to predict both minimal fibrosis and cirrhosis in chronic hepatitis B virus (HBV)-infected patients.

METHODS: We retrospectively investigated 114 chronic HBV-infected patients who underwent liver biopsy in two different hospitals. Thirteen parameters were analyzed by step-wise regression analysis and correlation analysis. A new fibrosis index [globulin/platelet (GP) model] was developed, including globulin (GLOB) and platelet count (PLT). GP model = GLOB (g/mL) × 100/PLT (× 10⁹/L). We evaluated the receiver operating characteristics analysis used to predict minimal fibrosis and compared six other available models.

RESULTS: Thirteen clinical biochemical and hematological variables [sex, age, PLT, alanine aminotransferase, aspartate aminotransferase (AST), albumin, GLOB, total bilirubin (T.bil), direct bilirubin (D.bil), glutamyltransferase, alkaline phosphatase, HBV DNA and prothrombin time (PT)] were analyzed according to three stages of liver fibrosis (F0-F1, F2-F3 and F4). Bivariate Spearman’s rank correlation analysis showed that six variables, including age, PLT, T.bil, D.bil, GLOB and PT, were correlated with the three fibrosis stages (FS). Correlation coefficients were 0.23, -0.412, 0.208, 0.220, 0.314 and 0.212; and P value was 0.014, < 0.001, 0.026, 0.018, 0.001 and 0.024, respectively. Univariate analysis revealed that only PLT and GLOB were significantly different in the three FS (PLT: F = 11.772, P < 0.001; GLOB: F = 6.612, P = 0.002). Step-wise multiple regression analysis showed that PLT and GLOB were also independently correlated with FS (R² = 0.237). By Spearman’s rank correlation analysis, GP model was significantly correlated with the three FS (r = 0.466, P < 0.001). The median values in F0-F1, F2-F3 and F4 were 1.461, 1.720 and 2.634. Compared with the six available models (fibrosis index, AST-platelet ratio, FIB-4, fibrosis-cirrhosis index and age-AST model and age-PLT ratio), GP model showed a highest correlation coefficient. The sensitivity and positive predictive value at a cutoff value < 1.68 for predicting minimal fibrosis F0-F1 were 72.4% and 71.2%, respectively. The specificity and negative predictive value at a cutoff value < 2.53 for the prediction of cirrhosis were 84.5% and 96.7%. The area under the curve (AUC) of GP model for predicting minimal fibrosis and cirrhosis was 0.762 [95% confidence interval (CI): 0.676-0.848] and 0.781 (95% CI: 0.638-0.924). Although the differences were not statistically significant between GP model and the other models (P all > 0.05), the AUC of GP model was the largest among the seven models.

CONCLUSION: By establishing a simple model using available laboratory variables, chronic HBV-infected patients with minimal fibrosis and cirrhosis can be diagnosed accurately, and the clinical application of this model may reduce the need for liver biopsy in HBV-infected patients.

Immunological risk factors for infection after immunosuppressive and biologic therapies

Immunosuppressive and biologic therapies are costly and can involve a considerable risk of infection. Noninvasive diagnostic tools for early prediction of infection before and after administration of these therapies are of major interest. Serial longitudinal immune monitoring would provide data on immunocompetence and complement clinical follow-up protocols. Biomarkers of immune response may be useful to identify patients at risk of developing infection and who could be candidates for immunosuppressant dose reduction. This article focuses on the potential use of biomarkers of immune response to predict development of infection after immunosuppressive and biologic therapies in selected settings of autoimmune disease (rituximab for treatment of rheumatoid arthritis) and solid organ transplantation.

Noninvasive monitoring of hepatitis C fibrosis progression

Noninvasive approaches in the diagnosis and monitoring of fibrosis are still evolving. Transient elastography is an inexpensive, rapid, and relatively accurate form of noninvasive monitoring, especially in severe fibrosis It is a nascent technology, however, and there is no clear indication that elastography is better than biopsy for less severe fibrosis. With improved resolution and longer term data, it may become a vital supplement. The combined use of transient elastography and biochemical markers seems to be the most promising noninvasive technique.