Brief report: Circulating markers of fibrosis are associated with immune reconstitution status in HIV-infected men

Tobolowsky, Farrell; Wada, Nikolas; Martínez-Maza, O.; Koletar, Susan L.; Palella, Frank J.; Brown, Thomas R.; Lake, Jordan E.

doi:10.1371/journal.pone.0191606

Cited by 3 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A previous study reported that caveolin-1 overexpression is associated with structural modifications of endothelial cells in patients with diabetic lung disease, indicating the potential application of caveolin-1 as a diagnostic biomarker for diabetic lung disease (16). The development of human disease is usually associated with changes in certain substances in the blood, and the detection of those substances may provide guidance for disease diagnosis (17). In the current study, the relative expression levels of SCAL1 were significantly downregulated in patients with diabetic lung disease, and downregulated serum expression levels of SCAL1 effectively distinguished diabetic patients with diabetic lung disease from diabetic patients without lung disease and healthy controls.…”

Section: Discussionmentioning

confidence: 99%

lncRNA SCAL1 inhibits inducible nitric oxide synthase in lung cells under high‑glucose conditions

Zhang

Ping

et al. 2019

Exp Ther Med

View full text Add to dashboard Cite

The lungs are one of the most common target organs of diabetic injury in patients with diabetes. Long non-coding RNA (lncRNA) smoke and cancer-associated lncRNA 1 (SCAL1), also known as lung cancer associated transcript 1 (LUCAT1), is known to have a pivotal role in lung cancer. The aim of the current study was to investigate the potential involvement of SCAL1 in diabetic lung disease. The expression levels of SCAL1 were determined by reverse transcription-quantitative PCR in serum samples from healthy controls (n=40), diabetic patients without lung disease (n=56) and diabetic patients with diabetic lung disease (n=44). Receiver operating characteristic analysis was used to evaluate the diagnostic value of serum SCAL1 in discriminating diabetic patients with diabetic lung disease from diabetic patients without lung disease and healthy controls. Pearson's correlation analysis was performed to examine the correlation between SCAL1 and inducible nitric oxide synthase (iNOS) mRNA expression levels in blood and lung tissue samples. Expression levels of iNOS and NO production following treatment with high (30 mM) glucose were examined by western blot analysis and NO assay, respectively. The expression levels of SCAL1 were significantly downregulated in diabetic patients with diabetic lung disease, and downregulated serum expression levels of SCAL1 effectively distinguished diabetic patients with diabetic lung disease from diabetic patients without lung disease and healthy controls. Treatment with high glucose significantly upregulated SCAL1 expression in normal lung cells. Furthermore, the overexpression of SCAL1 inhibited iNOS protein expression and reduced NO production in cells treated with high glucose. In conclusion, the current study demonstrated that lncRNA SCAL1 inhibits iNOS protein expression in lung cells under high-glucose conditions, which suggests that SCAL1 may have potential in the treatment of patients with diabetic lung disease.

show abstract

Section: Discussionmentioning

confidence: 99%

lncRNA SCAL1 inhibits inducible nitric oxide synthase in lung cells under high‑glucose conditions

Zhang

Ping

et al. 2019

Exp Ther Med

View full text Add to dashboard Cite

show abstract

“…In paired pre/post-treatment samples, there was a tremendous increase in HA and a more significant decrease in CXCL4 in INRs, compared with UCs. It is hypothesized that increased circulating HA and lower circulating CXCL4 concentrations due to lymphoid tissue fibrosis were associated with PIR ( 128 ).…”

Section: Plasma Markersmentioning

confidence: 99%

Alterations in circulating markers in HIV/AIDS patients with poor immune reconstitution: Novel insights from microbial translocation and innate immunity

Xiao

Yu²,

Yan³

et al. 2022

Front. Immunol.

View full text Add to dashboard Cite

After long-term anti-retroviral therapy (ART) treatment, most human immunodeficiency virus (HIV)/Acquired Immure Deficiency Syndrome (AIDS) patients can achieve virological suppression and gradual recovery of CD4+ T-lymphocyte (CD4+ T cell) counts. However, some patients still fail to attain normal CD4+ T cell counts; this group of patients are called immune non-responders (INRs), and these patients show severe immune dysfunction. The potential mechanism of poor immune reconstitution (PIR) remains unclear and the identification of uniform biomarkers to predict the occurrence of PIR is particularly vital. But limited information is available on the relationship between circulating markers of INRs and immune recovery. Hence, this review summarises alterations in the intestine microbiota and associated markers in the setting of PIR to better understand host-microbiota-metabolite interactions in HIV immune reconstitution and to identify biomarkers that can predict recovery of CD4+ T cell counts in INRs.

show abstract

“…Corresponding to them were immunological responders (IRs), these patients achieved both virologic suppression and CD4+ T-cell count return to normal value. Since INR would increase the morbidity and mortality of AIDS-defining diseases (AD) and non-AIDS-defined diseases (NAD), research on INR had become the focus of current HIV-related research, and the relevant contents included the definition [2,3], mechanism [4,5] and treatment plans [6] guidelines [8] and understanding of INR by using similar indicators or adjacent time. For example, when a patient came to see a doctor on the 13th month and 12 days after receiving ART, the CD4+ T-cell count absolute number and the conversion rate at the 12th month in the guideline were generally used to determine whether the patient was INRs.…”

Section: Introductionmentioning

confidence: 99%

A Method for the Definition of Immunological Non-response to Antiretroviral Therapy Based on Review Analysis and Supervised Classification Model

Shuai

2021

Preprint

View full text Add to dashboard Cite

BackgroundImmunological non-response (INR) accelerated the progression of AIDS disease and brought serious difficulties to the treatment of HIV-1 infected people. The current definition of INR lacked a credible consensus, which affected the diagnosis, treatment and scientific research of INR. MethodWe systematically analyzed the open source INR related references, used visualization techniques and machine learning classification models to propose the features, models and criteria that define INR. ResultWe summarized some consensus on the definition of INR. Among the features that defined INR, CD4+ T-cell absolute number and ART time were the best feature to define INR . The supervised learning classification model had high accuracy in defining INR, and the support vector machine (SVM) had the highest accuracy in the commonly used supervised classification learning model. Based on supervised learning model and visualization technology, we proposed some criteria that could help to reach a consensus on INR definition. ConclusionsThis study provided consensus, features, model and criteria for defining INR.

show abstract

Brief report: Circulating markers of fibrosis are associated with immune reconstitution status in HIV-infected men

Cited by 3 publications

References 27 publications

lncRNA SCAL1 inhibits inducible nitric oxide synthase in lung cells under high‑glucose conditions

lncRNA SCAL1 inhibits inducible nitric oxide synthase in lung cells under high‑glucose conditions

Alterations in circulating markers in HIV/AIDS patients with poor immune reconstitution: Novel insights from microbial translocation and innate immunity

A Method for the Definition of Immunological Non-response to Antiretroviral Therapy Based on Review Analysis and Supervised Classification Model

Contact Info

Product

Resources

About