Elevated Cerebrospinal Fluid Anti-CD4 Autoantibody Levels in HIV Associate with Neuroinflammation

Impact of Anti-CD4 Autoantibodies on Immune Reconstitution in People With Advanced Human Immunodeficiency Virus

BACKGROUND

Despite suppressive antiretroviral therapy (ART), 15%-30% of people with human immunodeficiency virus (HIV) experience a limited recovery of CD4 T cells. Although autoantibodies against the CD4 receptor have previously been identified in people with HIV (PWH), little is known about their longitudinal impact on CD4 T-cell reconstitution.

METHODS

Anti-CD4 autoantibodies were evaluated by the fluid-phase luciferase immunoprecipitation systems immunoassay in ART-naive people with advanced HIV (CD4 count ≤100 cells/µL), PWH with CD4 count >200 cells/µL, long-term nonprogressors, people with idiopathic CD4 lymphopenia, people with autoimmune lymphoproliferative syndrome, and healthy volunteers without HIV. In the participants with advanced HIV, we assessed the association of anti-CD4 autoantibodies at ART initiation with CD4 recovery over a median follow-up of 192 weeks.

RESULTS

Anti-CD4 autoantibodies were identified in 29% (61/210) of ART-naive participants with advanced HIV but were absent in people without HIV. Female PWH showed a 4-fold higher prevalence (P < .001) of anti-CD4 autoantibodies compared to males. After ART initiation, people with advanced HIV with anti-CD4 autoantibodies exhibited an overall slower rate of CD4 reconstitution (5.8 vs 6.6 cells/µL/month, P = .007) and lower week 192 CD4 count (268 vs 355 cells/µL, P = .037). Incidental, clinically indicated immunosuppressive therapy in these participants was associated with an improved rate of CD4 reconstitution (P = .0019) and higher week 192 CD4 count (551 vs 268 cells/µL, P = .019).

CONCLUSIONS

People with advanced HIV harboring anti-CD4 autoantibodies at ART initiation demonstrated a slower rate and extent of CD4 reconstitution after 4 years. Incidental immunosuppressive therapy was associated with increased CD4 counts in these participants.

Mesangial cell-derived CircRNAs in chronic glomerulonephritis: RNA sequencing and bioinformatics analysis

BACKGROUND

Circular RNAs (circRNAs) have been shown to play critical roles in the initiation and progression of chronic glomerulonephritis (CGN), while their role from mesangial cells in contributing to the pathogenesis of CGN is rarely understood. Our study aims to explore the potential functions of mesangial cell-derived circRNAs using RNA sequencing (RNA-seq) and bioinformatics analysis.

METHODS

Mouse mesangial cells (MMCs) were stimulated by lipopolysaccharide (LPS) to establish an in vitro model of CGN. Pro-inflammatory cytokines and cell cycle stages were detected by Enzyme-linked immunosorbent assay (ELISA) and Flow Cytometry experiment, respectively. Subsequently, differentially expressed circRNAs (DE-circRNAs) were identified by RNA-seq. GEO microarrays were used to identify differentially expressed mRNAs (DE-mRNAs) between CGN and healthy populations. Weighted co-expression network analysis (WGCNA) was utilized to explore clinically significant modules of CGN. CircRNA-associated CeRNA networks were constructed by bioinformatics analysis. The hub mRNAs from CeRNA network were identified using LASSO algorithms. Furthermore, utilizing protein-protein interaction (PPI), gene ontology (GO), pathway enrichment (KEGG), and GSEA analyses to explore the potential biological function of target genes from CeRNA network. In addition, we investigated the relationships between immune cells and hub mRNAs from CeRNA network using CIBERSORT.

RESULTS

The expression of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α was drastically increased in LPS-induced MMCs. The number of cells decreased significantly in the G1 phase but increased significantly in the S/G2 phase. A total of 6 DE-mRNAs were determined by RNA-seq, including 4 up-regulated circRNAs and 2 down-regulated circRNAs. WGCNA analysis identified 1747 DE-mRNAs of the turquoise module from CGN people in the GEO database. Then, the CeRNA networks, including 6 circRNAs, 38 miRNAs, and 80 mRNAs, were successfully constructed. The results of GO and KEGG analyses revealed that the target mRNAs were mainly enriched in immune, infection, and inflammation-related pathways. Furthermore, three hub mRNAs (BOC, MLST8, and HMGCS2) from the CeRNA network were screened using LASSO algorithms. GSEA analysis revealed that hub mRNAs were implicated in a great deal of immune system responses and inflammatory pathways, including IL-5 production, MAPK signaling pathway, and JAK-STAT signaling pathway. Moreover, according to an evaluation of immune infiltration, hub mRNAs have statistical correlations with neutrophils, plasma cells, monocytes, and follicular helper T cells.

CONCLUSIONS

Our findings provide fundamental and novel insights for further investigations into the role of mesangial cell-derived circRNAs in CGN pathogenesis.

Serum Cytokines Predict Neurological Damage in Genetically Diverse Mouse Models

Viral infections contribute to neurological and immunological dysfunction driven by complex genetic networks. Theiler's murine encephalomyelitis virus (TMEV) causes neurological dysfunction in mice and can model human outcomes to viral infections. Here, we used genetically distinct mice from five Collaborative Cross mouse strains and C57BL/6J to demonstrate how TMEV-induced immune responses in serum may predict neurological outcomes in acute infection. To test the hypothesis that serum cytokine levels can provide biomarkers for phenotypic outcomes of acute disease, we compared cytokine levels at pre-injection, 4 days post-injection (d.p.i.), and 14 d.p.i. Each strain produced unique baseline cytokine levels and had distinct immune responses to the injection procedure itself. Thus, we eliminated the baseline responses to the injection procedure itself and identified cytokines and chemokines induced specifically by TMEV infection. Then, we identified strain-specific longitudinal cytokine profiles in serum during acute disease. Using stepwise regression analysis, we identified serum immune markers predictive for TMEV-induced neurological phenotypes of the acute phase, e.g., IL-9 for limb paralysis; and TNF-α, IL-1β, and MIP-1β for limb weakness. These findings indicate how temporal differences in immune responses are influenced by host genetic background and demonstrate the potential of serum biomarkers to track the neurological effects of viral infection.