Biomarkers Of Disease Severity Research Articles

Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients

Predicting the clinical course of Covid-19 is a challenging task, given the multi-systemic character of the disease and the paucity of minimally invasive biomarkers of disease severity. Here, we evaluated the early (first two days post-admission) level of circulating hsa-miR-195-5p (miR-195, a known responder to viral infections and SARS-CoV-2 interactor) in Covid-19 patients and assessed its potential as a biomarker of disease severity. We show that plasma miR-195 correlates with several clinical and paraclinical parameters, and is an excellent discriminator between the severe and mild forms of the disease. Our Gene Ontology analysis of miR-195 targets differentially expressed in Covid-19 indicates a strong impact on cardiac mitochondria homeostasis, suggesting a possible role in long Covid and chronic fatigue syndrome (CFS) syndromes.

Interferome signature dynamics during the anti-dengue immune response: a systems biology characterization.

Dengue virus (DENV) infection manifests as a febrile illness with three distinct phases: early acute, late acute, and convalescent. Dengue can result in clinical manifestations with different degrees of severity, dengue fever, dengue hemorrhagic fever, and dengue shock syndrome. Interferons (IFNs) are antiviral cytokines central to the anti-DENV immune response. Notably, the distinct global signature of type I, II, and III interferon-regulated genes (the interferome) remains uncharacterized in dengue patients to date. Therefore, we performed an in-depth cross-study for the integrative analysis of transcriptome data related to DENV infection. Our systems biology analysis shows that the anti-dengue immune response is characterized by the modulation of numerous interferon-regulated genes (IRGs) enriching, for instance, cytokine-mediated signaling (e.g., type I and II IFNs) and chemotaxis, which is then followed by a transcriptional wave of genes associated with cell cycle, also regulated by the IFN cascade. The adjunct analysis of disease stratification potential, followed by a transcriptional meta-analysis of the interferome, indicated genes such as IFI27, ISG15, and CYBRD1 as potential suitable biomarkers of disease severity. Thus, this study characterizes the landscape of the interferome signature in DENV infection, indicating that interferome dynamics are a crucial and central part of the anti-dengue immune response.

Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients.

Recently, numerous studies have reported on different predictive models of disease severity in COVID-19 patients. Herein, we propose a highly predictive model of disease severity by integrating routine laboratory findings and plasma metabolites including cytosine as a potential biomarker of COVID-19 disease severity. One model was developed and internally validated on the basis of ROC-AUC values. The predictive accuracy of the model was 0.996 (95% CI: 0.989 to 1.000) with an optimal cut-off risk score of 3 from among 6 biomarkers including five lab findings (D-dimer, ferritin, neutrophil counts, Hp, and sTfR) and one metabolite (cytosine). The model is of high predictive power, needs a small number of variables that can be acquired at minimal cost and effort, and can be applied independent of non-empirical clinical data. The metabolomics profiling data and the modeling work stemming from it, as presented here, could further explain the cause of COVID-19 disease prognosis and patient management.

D-Dimer: A Primer Biomarker in COVID-19

Aim and Objective: To explore risk factors associated with mortality in COVID-19 patients and assess the use of D-dimer as a first line biomarker for disease severity and clinical outcome.
 Materials and Methods: We retrospectively analysed the pathological and radiological characteristics of 2087 consecutive cases of COVID-19 in PSH, Vadodara, Gujarat, from March 2021 to July 2022. Graphically, MS-Excel with median values were used. Correlations of D-dimer upon admission with disease severity and in-hospital mortality were analysed accordingly. Data were collected in MS-Excel with median values.
 Results: 2087 patients having positive RT-PCR and confirm diagnosis of Covid-19 were included upon hospital admission. Whereas, 65.78% (n= 1373) were male and 34.21% (n= 714) were female. Mean age was 52± 4 year. D-dimer level > 250 ng/mL at the time of hospital admission was the only fluctuating value accompanying with increased mortality [(95% CI), P = 0.025]. D-dimer elevation (≥250 ng/mL) was seen in 81.31% patients. Pericardial effusion and Deep vein thrombosis were ruled out in probability of thrombosis based on 2-D echo, X-ray chest and USG. This recommend that hyper-coagulopathy of the fibrin plays a significant role in the occurrence of thromboembolic complications with COVID-19 patients. D-dimer levels was crucially escalated with increasing severity of COVID-19 as determined by clinical improvement (within 5 days of hospital stay) and chest CT staging (CO-RADS score out of 25, P = 0.000). 319 patient were died during above said period and overall in-hospital mortality rate was 15.28%. Additionally, 6.08 % (n=127) patient were on BIPEP and all are died with 100% death ratio. Median D-dimer level in non-survivors (15.29%) was significantly higher than in survivors (84.71%, n = 1768, RR 24.69%). Median elevated D-dimer level was 600.5 ng/ml. Furthermore, the disease activity were higher in the overhead D-dimer level group demonstrated to have anticipating value in differentiating disease severity along with high ESR level and hs-CRP and the fibrinogen level was also upraised indicated seriousness of disease.
 Conclusion: We concluded that D-dimer level was routinely uplifted in patients with COVID-19 disease. D-dimer levels match up with severity of the disease and are a significant definitive prognostic first line marker for in-hospital mortality for COVID-19 disease. Furthermore, a significant association between the high D-dimer level and severity of COVID-19 disease was noted among comorbid patients. Additionally, raced D-dimer level demonstrated with high ESR level and hs-CRP and the fibrinogen level indicated seriousness of disease in comorbid patients.

Interplay of Impaired Cellular Bioenergetics and Autophagy in PMM2-CDG.

Congenital disorders of glycosylation (CDG) and mitochondrial disorders are multisystem disorders with overlapping symptomatology. Pathogenic variants in the PMM2 gene lead to abnormal N-linked glycosylation. This disruption in glycosylation can induce endoplasmic reticulum stress, contributing to the disease pathology. Although impaired mitochondrial dysfunction has been reported in some CDG, cellular bioenergetics has never been evaluated in detail in PMM2-CDG. This prompted us to evaluate mitochondrial function and autophagy/mitophagy in vitro in PMM2 patient-derived fibroblast lines of differing genotypes from our natural history study. We found secondary mitochondrial dysfunction in PMM2-CDG. This dysfunction was evidenced by decreased mitochondrial maximal and ATP-linked respiration, as well as decreased complex I function of the mitochondrial electron transport chain. Our study also revealed altered autophagy in PMM2-CDG patient-derived fibroblast lines. This was marked by an increased abundance of the autophagosome marker LC3-II. Additionally, changes in the abundance and glycosylation of proteins in the autophagy and mitophagy pathways further indicated dysregulation of these cellular processes. Interestingly, serum sorbitol levels (a biomarker of disease severity) and the CDG severity score showed an inverse correlation with the abundance of the autophagosome marker LC3-II. This suggests that autophagy may act as a modulator of biochemical and clinical markers of disease severity in PMM2-CDG. Overall, our research sheds light on the complex interplay between glycosylation, mitochondrial function, and autophagy/mitophagy in PMM2-CDG. Manipulating mitochondrial dysfunction and alterations in autophagy/mitophagy pathways could offer therapeutic benefits when combined with existing treatments for PMM2-CDG.

Analysis of Novel Immunological Biomarkers Related to Rheumatoid Arthritis Disease Severity.

Rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPAs) are the most frequently used rheumatoid arthritis (RA) diagnostic markers, but they are unable to anticipate the patient's evolution or response to treatment. The aim of this study was to identify possible severity biomarkers to predict an upcoming flare-up or remission period. To address this objective, sera and anticoagulated blood samples were collected from healthy controls (HCs; n = 39) and from early RA (n = 10), flare-up (n = 5), and remission (n = 16) patients. We analyzed leukocyte phenotype markers, regulatory T cells, cell proliferation, and cytokine profiles. Flare-up patients showed increased percentages of cluster of differentiation (CD)3+CD4- lymphocytes (p < 0.01) and granulocytes (p < 0.05) but a decreased natural killer (NK)/T lymphocyte ratio (p < 0.05). Analysis of leukocyte markers by principal component analysis (PCA) and receiver operating characteristic (ROC) curves showed that CD45RO+ (p < 0.0001) and CD45RA+ (p < 0.0001) B lymphocyte expression can discriminate between HCs and early RA patients, while CD3+CD4- lymphocyte percentage (p < 0.0424) and CD45RA+ (p < 0.0424), CD62L+ (p < 0.0284), and CD11a+ (p < 0.0185) B lymphocyte expression can differentiate between flare-up and RA remission subjects. Thus, the combined study of these leukocyte surface markers could have potential as disease severity biomarkers for RA, whose fluctuations could be related to the development of the characteristic pro-inflammatory environment.

Role of viral load and host cytokines in determining the disease severity of Respiratory Syncytial Virus associated acute lower respiratory tract infections in children.

Respiratory syncytial virus disease (RSV) is an important cause of acute lower respiratory tract infection. This study aimed to evaluate the role of viral load and cytokines, including MMP-9 and TIMP-1, in determining the severity of RSV disease and to identify potential biomarkers of disease severity. 142 patients of RSV (>2 months to <5 years of age) presenting with acute lower respiratory tract infection (ALRTI) between December 2013 to March 2016 were enrolled. Their nasopharyngeal aspirate was subjected to RSV viral load quantification and local cytokine levels of IL-6, TNF, IL-17A, IFN-Ƴ and IL-10 as determined using cytokine bead array. Levels of MMP-9 and TIMP-1 were calculated using Quantikine ELISA on 109 aspirates. These parameters were compared against different categories of disease severity. A higher viral load and increased levels of TNFα, MMP-9 and MMP-9:TIMP-1 were associated with greater severity of disease; while levels of IL-17a, IFN-Ƴ, and IFN-Ƴ:IL-10 were associated with disease resolution. In defining transition from non-severe to severe disease, MMP-9 had a sensitivity and specificity of 89.7% and 85.4%, respectively and MMP-9:TIMP-1 had a sensitivity and specificity of 87.2% and 76.8% respectively. Hence, MMP-9, MMP-9:TIMP-1, TNFα and IL-10 could serve as potential biomarkers for disease progression in RSV-infected children.

Plasma neurofilament light-chain and phosphorylated tau as biomarkers of disease severity in Huntington's disease: Korean cohort data

ObjectiveTo investigate neurofilament light chain (NfL), phosphorylated tau (p-Tau) and total tau (t-Tau) as plasma markers for clinical severity in Korean Huntington's disease (HD) cohort. MethodsGenetically-confirmed 67 HD patients participated from 13 referral hospitals in South Korea. The subjects were evaluated with the Unified Huntington's Disease Rating Scale (UHDRS), total motor score (TMS) and total functional capacity (TFC), Mini-Mental Status Examination (K-MMSE), Montreal Cognitive Assessment (MoCA-K), and Beck's depression inventory (K-BDI). We measured plasma NfL, p-Tau and t-Tau concentrations using single-molecule array (SIMOA) assays. Stages of HD were classified based on UHDRS-TFC score and plasma markers were analyzed for correlation with clinical severity scales. ResultsPlasma NfL was elevated in both 6 premanifest and 61 full manifest HD patients compared to the reference value, which increased further from premanifest to manifest HD groups. The NfL level was not significantly correlated with UHDRS TMS or TFC scores in manifest HD patients. Plasma p-Tau was also elevated in HD patients (p = 0.038). The level was the highest in stage III-V HD (n = 30) group (post-hoc p < 0.05). The p-Tau was correlated with UHDRS TFC scores (adjusted p = 0.002). Plasma t-Tau neither differed among the groups nor associated with any clinical variables. ConclusionsThis study supports plasma NfL being a biomarker for initial HD manifestation in Korean cohort, and a novel suggestion of plasma p-Tau as a potential biomarker reflecting the clinical severity in full-manifest HD.

Enzymatic properties and clinical associations of serum alpha-galactosidase A in Parkinson's disease.

Recent studies have revealed an association between Parkinson's disease (PD) and Fabry disease, a lysosomal storage disorder; however, the underlying mechanisms remain to be elucidated. This study aimed to investigate the enzymatic properties of serum alpha-galactosidase A (GLA) and compared them with the clinical parameters of PD. The study participants consisted of 66 sporadic PD patients and 52 controls. We measured serum GLA activity and calculated the apparent Michaelis constant (Km ) and maximal velocity (Vmax ) by Lineweaver-Burk plot analysis. Serum GLA protein concentration was measured by enzyme-linked immunosorbent assay. We examined the potential correlations between serum GLA activity and GLA protein concentration and clinical features and the plasma neurofilament light chain (NfL) level. Compared to controls, PD patients showed significantly lower serum GLA activity (P < 0.0001) and apparent Vmax (P = 0.0131), but no change in the apparent Km value. Serum GLA protein concentration was lower in the PD group (P = 0.0168) and was positively associated with GLA activity. Serum GLA activity and GLA protein concentration in the PD group showed a negative correlation with age. Additionally, serum GLA activity was negatively correlated with the motor severity score and the level of plasma NfL, and was positively correlated with the score of frontal assessment battery. This study highlights that the lower serum GLA activity in PD is the result of a quantitative decrement of GLA protein in the serum and that it may serve as a biomarker of disease severity.

Multi-omics approach identifies PI3 as a biomarker for disease severity and hyper-keratinization in psoriasis

BackgroundPsoriasis is an immune-mediated inflammatory skin disease. Psoriasis severity evaluation is important for clinicians in the assessment of disease severity and subsequent clinical decision making. However, no objective biomarker is available for accurately evaluating disease severity in psoriasis. ObjectiveTo define and compare biomarkers of disease severity and progression in psoriatic skin. MethodsWe performed proteome profiling to study the proteins circulating in the serum from patients with psoriasis, psoriatic arthritis and ankylosing spondylitis, and transcriptome sequencing to investigate the gene expression in skin from the same cohort. We then used machine learning approaches to evaluate different biomarker candidates across several independent cohorts. In order to reveal the cell-type specificity of different biomarkers, we also analyzed a single-cell dataset of skin samples. In-situ staining was applied for the validation of biomarker expression. ResultsWe identified that the peptidase inhibitor 3 (PI3) was significantly correlated with the corresponding local skin gene expression, and was associated with disease severity. We applied machine learning methods to confirm that PI3 was an effective psoriasis classifier, Finally, we validated PI3 as psoriasis biomarker using in-situ staining and public datasets. Single-cell data and in-situ staining indicated that PI3 was specifically highly expressed in keratinocytes from psoriatic lesions. ConclusionOur results suggest that PI3 may be a psoriasis-specific biomarker for disease severity and hyper-keratinization.

Eosinophil and mast cell-derived exosomes promote integrity of intestinal mucosa via the NEAT1/miR-211-5p/glial cell line-derived neurotrophic factor axis in duodenum.

Exosomes are applied as biomarkers in several diseases according to their disease-specific profiles. However, the exosomes effects in functional dyspepsia (FD) are still fragmentary. Here we examined the role of Eosinophil and mast cell derived-exosomes in FD progression. Fifty FD subjects and age- and sex-matched healthy controls were included in this retrospective cohort study. Duodenal mucosa and gastric juice were collected to analyze molecular difference. Eosinophil and mast cell were evaluated by immunofluorescence and microarray was subjected to examine the expression levels of NEAT1, miR-211-5p, and glial cell line-derived neurotrophic factor (GDNF), which were subsequently were tested by quantitative reverse transcription PCR (RT-qPCR) validation cohorts. CCK-8 assays, and wound healing assays were used to evaluate integrity of intestinal mucosal barrier in vitro. Rats' weights and gastric emptying rates were used as evaluation of FD severity in vivo. Eosinophil and mast cell were enriched and secreted more exosomes in duodenal mucosa of FD patients. We identified differential lncRNAs that were consistently and significantly up regulated in FD cases. Of these, NEAT1 was further validated by RT-qPCR and had closely relationship with GDNF. MiR-211-5p level was found to be reduced in FD and negatively related with NEAT1 and GDNF. Furthermore, NEAT1and GDNF relived FD while miR-211-5p made symptoms worse. The NEAT1/miR-211-5p/GDNF axis had a good predictive ability for FD. The NEAT1/miR-211-5p/GDNF could be a potential FD biomarker.

Metagenomic assessment of gut microbial communities and risk of severe COVID-19

BackgroundThe gut microbiome is a critical modulator of host immunity and is linked to the immune response to respiratory viral infections. However, few studies have gone beyond describing broad compositional alterations in severe COVID-19, defined as acute respiratory or other organ failure.MethodsWe profiled 127 hospitalized patients with COVID-19 (n = 79 with severe COVID-19 and 48 with moderate) who collectively provided 241 stool samples from April 2020 to May 2021 to identify links between COVID-19 severity and gut microbial taxa, their biochemical pathways, and stool metabolites.ResultsForty-eight species were associated with severe disease after accounting for antibiotic use, age, sex, and various comorbidities. These included significant in-hospital depletions of Fusicatenibacter saccharivorans and Roseburia hominis, each previously linked to post-acute COVID syndrome or “long COVID,” suggesting these microbes may serve as early biomarkers for the eventual development of long COVID. A random forest classifier achieved excellent performance when tasked with classifying whether stool was obtained from patients with severe vs. moderate COVID-19, a finding that was externally validated in an independent cohort. Dedicated network analyses demonstrated fragile microbial ecology in severe disease, characterized by fracturing of clusters and reduced negative selection. We also observed shifts in predicted stool metabolite pools, implicating perturbed bile acid metabolism in severe disease.ConclusionsHere, we show that the gut microbiome differentiates individuals with a more severe disease course after infection with COVID-19 and offer several tractable and biologically plausible mechanisms through which gut microbial communities may influence COVID-19 disease course. Further studies are needed to expand upon these observations to better leverage the gut microbiome as a potential biomarker for disease severity and as a target for therapeutic intervention.

Relationship of Blood Inflammatory Composite Markers with Cardiovascular Risk Factors and Subclinical Atherosclerosis in Patients with Rheumatoid Arthritis.

The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index (SIRI, neutrophils × monocytes/lymphocytes) have been described as potential blood-derived inflammatory biomarkers in several diseases. Rheumatoid arthritis is an inflammatory disease that has been related to an increased risk of cardiovascular (CV) disease. In the present work, we analyze how these hematological composite scores of inflammation are related to classic CV risk factors and subclinical atherosclerosis in patients with RA. In this cross-sectional study that included 430 patients with RA, the NLR, MLR, PLR, and SIRI scores were calculated. Multivariable analysis was performed to examine the relationships of these composite blood scores with subclinical carotid atherosclerosis and with traditional cardiovascular factors, producing a complete profile of lipid molecules and insulin resistance or indices of beta-cell function, and a Systematic Coronary Risk Assessment (SCORE2) calculation. C-reactive protein and disease activity were significantly and positively associated with the four blood composite scores. SCORE2 was significantly associated with higher values of SIRI, NLR, and MLR, but not PLR. These relationships were maintained when SCORE 2 was considered categorical; patients in the very high CV risk category had higher values in all hematological composite scores, except PLR. In the multivariable analysis, SIRI and NLR were independently associated with higher levels of beta cell dysfunction. In conclusion, SCORE2 and the values of the hematological composite scores were positively correlated in patients with RA. In addition, there were some relationships of these scores with traditional CV risk factors, with their association with beta cell dysfunction being the most consistent.

Serum triacylglycerol: A putative early biomarker of disease severity of Type 2 diabetes mellitus compared to microalbuminuria

Serum triacylglycerol: A putative early biomarker of disease severity of Type 2 diabetes mellitus compared to microalbuminuria

Serum ferritin level as a prognostic biomarker for predicting dengue disease severity: A systematic review and meta-analysis.

Serum ferritin levels serves as biomarkers in many inflammatory and infectious diseases. This current systematic review and meta-analysis evaluated whether serum ferritin levels are associated with severe dengue and its utility as a biomarker of disease severity. Literature searches were conducted in PubMed, Scopus, ScienceDirect, the Cochrane library, and Google Scholar. A total of 18 studies examining the serum ferritin levels in dengue cases in the context of disease severity (nine studies having dengue classification as non-severe vs. severe dengue cases, and nine studies having dengue classification as dengue without warning signs (DwoWS), dengue with warning signs (DwWS), and severe dengue cases) were included and the quality of the studies was assessed using the Quality in Prognostic Factor Studies tool. The meta-analysis was performed using STATA software to calculate the effect size as a standardized mean difference (SMD) or Hedges 'g' for the continuous outcome. Higher serum ferritin levels were found in severe dengue cases compared to non-severe cases [SMD (Hedges 'g') 4.05 (95% C.I. 2.09-6.00), (I2 =98.8%)]. In the second group, DwWS cases showed high serum ferritin levels compared to DwoWS [SMD 2.01 (95% C.I. 0.92-3.10), (I2 =97.89%)], and severe dengue cases showed higher levels of serum ferritin compared to DwWS [SMD 2.66 (95% C.I. 1.72-4.48), (I2 =98.78%)] and DwoWS cases [SMD 6.65 (95% C.I. 1.72-11.59), (I2 =99.78%]. Subgroup analysis for the country of study (India vs. others), ferritin testing methods, and ferritin measurement day revealed testing method as a significant contributor to heterogeneity. To conclude, the present study suggests serum ferritin as a prognostic marker for dengue disease severity. Multi-centric studies involving a large number of dengue patients with a uniform case definition accounting for all the confounding variables might help in determining a universal cut-off value to discriminate between non-severe and severe dengue.

Excellent outcome in patients with primary biliary cholangitis in Northwest Italy followed up for up to 30 years.

Primary biliary cholangitis (PBC) is a rare chronic autoimmune cholangiopathy, characterized by a variable course and response to treatment. We aimed to describe long-term outcomes of PBC patients referred to three academic centres in Northwest Italy. This is an ambispective cohort study of PBC patients (retrospective component: diagnosis before 1 January 2019; prospective component: thereafter), including 302 patients: 101 (33%) followed up in Novara, 86 (28%) in Turin, 115 (38%) in Genoa. Clinical features at diagnosis, biochemical response to therapy and survival were analyzed. Among the 302 patients (88% women, median age 55 years, median follow-up 75 months), alkaline phosphatase (ALP) levels significantly decreased during treatment with ursodeoxycholic acid (UDCA, P < 0.0001) and obeticholic acid (P < 0.0001). At multivariate analysis, ALP at diagnosis was predictive of 1-year biochemical response to UDCA [odds ratio 3.57, 95% confidence interval (CI) 1.4-9, P < 0.001]. Estimated median survival free of liver transplantation and hepatic complications was 30 years (95% CI 19-41). Bilirubin level at diagnosis was the only independent risk factor for the combined outcome of death, transplantation or hepatic decompensation (hazard ratio, 1.65, 95% CI 1.66-2.56, P = 0.02). Patients presenting with total bilirubin at diagnosis ≥0.6 times the upper normal limit (ULN) had a significantly lower 10-year survival compared to those with bilirubin <0.6 times ULN (63% vs. 97%, P < 0.0001). In PBC, both short-term response to UDCA and long-term survival can be predicted by simple conventional biomarkers of disease severity, obtained at diagnosis.

The Pivotal Role of Galectin-3 in Viral Infection: A Multifaceted Player in Host-Pathogen Interactions.

Galectin-3 (Gal-3), a beta-galactoside-binding lectin, plays a pivotal role in various cellular processes, including immune responses, inflammation, and cancer progression. This comprehensive review aims to elucidate the multifaceted functions of Gal-3, starting with its crucial involvement in viral entry through facilitating viral attachment and catalyzing internalization. Furthermore, Gal-3 assumes significant roles in modulating immune responses, encompassing the activation and recruitment of immune cells, regulation of immune signaling pathways, and orchestration of cellular processes such as apoptosis and autophagy. The impact of Gal-3 extends to the viral life cycle, encompassing critical phases such as replication, assembly, and release. Notably, Gal-3 also contributes to viral pathogenesis, demonstrating involvement in tissue damage, inflammation, and viral persistence and latency elements. A detailed examination of specific viral diseases, including SARS-CoV-2, HIV, and influenza A, underscores the intricate role of Gal-3 in modulating immune responses and facilitating viral adherence and entry. Moreover, the potential of Gal-3 as a biomarker for disease severity, particularly in COVID-19, is considered. Gaining further insight into the mechanisms and roles of Gal-3 in these infections could pave the way for the development of innovative treatment and prevention options for a wide range of viral diseases.

Molecular typing of HLA-class II alleles reveals an association with autoantibodies and disease subsets of systemic sclerosis in a North Indian (Kashmir) population

To identify specific human leukocyte antigen (HLA)-Class II (DRB/DQB1/DPB1) alleles associated with systemic sclerosis (SSc) and to explore their relation with SSc autoantibodies, clinical manifestations, and disease subsets. HLA-class II alleles (DRB1/DRB3/DRB4/DRB5/DQB1) were determined by DNA typing in 80 SSc cases and 60 matched controls and HLA-DPB1 in 40 SSc patients and 30 controls by allele-specific-polymerase chain reaction with sequence-specific primers (PCR-SSP). The mean age of SSc patients was 36.9 ± 9.4 years; 76 females and 4 males (F:M 19:1) and a disease duration of 5.3 ± 3.3 years, they were 43(53.7%) limited and 37(46.2%) diffuse subtypes. SSc was significantly associated with DRB1*11, DRB1*01, DQB1*04, and DQB1*03*03 in a >4-fold manner, whereas DPB1*04 had a >7-fold increased risk compared to controls. There was a strong association between DRB1*11 (p = 0.04), DQB1*03*03 (p = 0.005), and DPB1*13 (p = 0.009) with anti-topoisomerase I (anti-topoI) whereas the frequency of DRB1*01 (p < 0.0001) was increased in patients with anti-centromere (ACA) positive SSc compared those negative (56% vs 25%; p < 0.0001). DRB1*03, DRB1*15, and DQB1*03*01 were SSc protective alleles in patients with positive ACA. Anti-topo I was associated with interstitial lung disease (ILD) (p < 0.01), whereas ACA with pulmonary arterial hypertension (PAH) (p = 0.01) and protection against ILD (p < 0.001). In addition, HLA-DRB1*03, DQB1*03*01and DPB1*03 were more frequent in patients with ILD than in patients without. Associations between specific HLA-class II alleles with certain SSc-specific autoantibodies (anti-topo I and ACA) were identified. Specific HLA associations with clinical and serological subtypes could serve as biomarkers of disease severity and progression in SSc.

Analysis of amyloid deposits in the retina and implications for use as a biomarker of Alzheimer’s Disease

AbstractBackgroundIn humans and the naturally occurring canine model of Alzheimer’s disease (AD), we and others observe amyloid deposits in the retina en face. We have previously shown that detecting the number of amyloid deposits with polarised light, using wide field, dye free retinal imaging, can predict the degree of severity of AD pathology in the brain. But some who take thin, transverse retinal sections find amyloid while others do not. Here, we report the surface area of retinal amyloid deposits in human and the canine model of AD.MethodFormalin‐fixed retinas from 29 individuals with a moderate to high likelihood of AD (with some comorbidities excluded) and 20 canines were flat‐mounted and imaged in florescence and polarized light (Fig 1). The full retina was imaged for 24 human and 16 canine retinas. For 4 canines, in‐vivo blue light fluorescent retinal images were collected before and after injection of an amyloid dye, CRANAD‐28. Deposits visible only after injection were counted. Fluorescence and polarization images were compared post‐mortem in a canine after an injection of CRANAD‐28. Amyloid deposits were segmented using custom methods. The total area of segmented deposits was then divided by the total retinal area imaged.ResultIn retinas from individuals with AD brain pathology, the area of the retinal covered by amyloid deposits was on average 0.01% and correlated with the number of deposits (Fig 2). In vivo (Fig 3), the area of the canine retina covered by amyloid deposits was on average 0.29% (Fig 4). In one ex vivo retina, fluorescent and polarization positive deposits had a concurrence of 93% and the average area of fluorescent deposits (0.14%) was larger than the same deposits imaged in polarimetry (0.08%) (Fig. 5).ConclusionThese findings and our previous report of an almost constant density of amyloid deposits across the retina, should guide in vivo imaging of amyloid in the retina as a biomarker of AD. Across all human and canine retinas, amyloid deposits covered less than 0.6% of the retinal surface. Careful, extensive sampling is needed. The surface area of amyloid deposits is an additional potential biomarker of disease severity.

Noninvasive disease severity assessment in nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease affecting one-fourth population globally. It is also anticipated to be the major cause of liver-related morbidity and transplantation worldwide in the future decades.1 Of note the Asia-Pacific has a tremendous burden because of the rapid Westernization of the region and the racial characteristics.2-4 Currently, NAFLD represents a clinical field possessing several unmet needs. The major one is currently no reliable biomarker for disease severity, disease course, or outcome measurement. Therefore, a reliable and confident biomarker for the purposes deserves exploration. The effort is no doubt more challenging than for viral hepatitis infection. Cheng et al. presented the study results of the correlation of Mac-2 binding protein glycosylation isomer (M2BPGi) serum level with the other documented noninvasive biomarkers or panels in a single-center retrospective NAFLD database.5 M2BPGi has been vigorously studied as a marker for fibrosis in chronic hepatitis B virus infection, chronic hepatitis C virus infection, nonalcoholic steatohepatitis, and even hepatocellular carcinoma.6-9 The cross-sectional study measured the serum levels of the recently-identified glycosylation isoform of Mac-2 binding protein in both NAFLD and healthy controls. The results showed that the serum levels of M2BPGi were significantly correlated with the levels of AST to platelet ratio index, fibrosis 4 score (FIB-4), and NAFLD fibrosis score, respectively. The M2BPGi levels were significantly higher in females and had an incremental increase with age in both NAFLD patients and the healthy controls. In addition, the M2BPGi level was significantly higher in those intermediate or high risk for advanced fibrosis (defined as FIB-4 level ≥ 1.45) than their low-risk counterparts (FIB-4 level < 1.45). The results thus provided a piece of work addressing the noninvasive fibrosis assessment for the complex metabolic liver disorder. Generally, the degree of liver fibrosis is the major determinant and the significant predictor of long-term outcomes in patients with NAFLD. There is a higher risk of mortality associated with a higher stage of fibrosis in NAFLD.10, 11 Moreover, the risk of liver-related mortality increased on an exponential rather than linear scale with an increase in fibrosis stage.12 Liver biopsy remains an expensive and invasive procedure associated with potential complications, sampling error, and interobserver variability. Besides imaging- and elastography-based methods, several serum-based panels have been developed for the noninvasive approach to disease severity. Recently, the easy-to-access FIB-4 method has been validated in providing an accurate prediction of liver fibrosis and liver-related events. The algorithm has been adapted by major societies as a clinically useful tool for advanced fibrosis assessment.13-15 Nonetheless, further validation efforts across disease etiology, ethnicities, and other clinical factors are mandatory. In this direction, the current study provided a real-world validation approach for the performance of the serum biomarker in a clinical setting. Some issues remain under investigation despite the achievements of the study. The transition between fibrosis stages in the disease spectrum of NAFLD remains elusive, which mainly depends on histopathological interpretation. The lack of histopathological data could partly undermine the results and clinical implications. Second, although FIB-4 is widely used to predict the presence of advanced fibrosis, it is a tool for excluding advanced fibrosis rather than diagnosis per se. The cut-off values for FIB-4 in determining different risk levels have been extensively validated in the past decade. The results of the current study could be affected by using different values. In addition, the performance of a single biomarker could be significantly increased by combination with other biomarkers.7 Last but not least, results from a longitudinal follow-up study, preferably with other noninvasive methods, will provide more sufficient and convincing evidence in this regard. In conclusion, M2BPGi is a useful noninvasive biomarker for liver fibrosis assessment in NAFLD patients. Future validation of the performance for outcome prediction in a longitudinal manner will be a promising perspective. The author thanks secretary help from Taiwan Liver Research Foundation (TLRF) and Fatty Liver Special Interest Group of Taiwan Association for the Study of the Liver (TASL). The Foundation and the Association did not influence how the study was conducted or the approval of the manuscript. Jee-Fu Huang: Consultant of Roche, BMS, Gilead, Merck, Sysmex, Pharmaessential, Polaris, Aligos, and Instylla. Speaker for Abbvie, BMS, Gilead, Merck, Sysmex, and Roche.