Highlights People living with HIV do not achieve an optional immune reconstitution despite the sustained virologic suppression. Circulating CD4 T cells fail to replenish their lymphoid tissue counterparts in people living with HIV. Irrespective of ART, coffin hyperactivation and impaired T cell mobility persist in people living with HIV. Cofilin may represent a novel therapeutic target to restore T cell mobility in people living with HIV.

Systemic vascular injury occurs in COVID-19 patients, yet the underlying mechanisms remain unknown. To clarify the role of inflammatory factors in COVID-19 vascular injury, we used a multiplex immunoassay to profile 65 inflammatory cytokines/chemokines/growth factors in plasma samples from 24 hospitalized (severe/critical) COVID-19 patients, 14 mild/moderate cases, and 13 healthy controls (HCs). COVID-19 patients had significantly higher plasma levels of 20 analytes than HCs. Surprisingly, only one cytokine (MIF) was among these altered analytes, while the rest were chemokines/growth factors. Additionally, only MMP-1 and VEGF-A were significantly elevated in hospitalized COVID-19 patients when compared to mild/moderate cases. We further studied MMP-1 enzymatic activity and multiple endothelial cell (EC) activation markers (soluble forms of CD146, ICAM-1, and VCAM-1) and found that they were highly dysregulated in COVID-19 patients. Thus, COVID-19 patients have a unique inflammatory profile, and excessive MMP-1 and hyperactivation of ECs are associated with the severity of COVID-19.

Background Tissue damage and cellular destruction are the major events in traumatic brain injury (TBI), which trigger sterile neuroimmune and neuroinflammatory responses in the brain. While appropriate acute and transient neuroimmune and neuroinflammatory responses facilitate the repair and adaptation of injured brain tissues, prolonged and excessive neuroimmune and neuroinflammatory responses exacerbate brain damage. The mechanisms that control the intensity and duration of neuroimmune and neuroinflammatory responses in TBI largely remain elusive. Methods We used the controlled cortical impact (CCI) model of TBI to study the role of immune checkpoints (ICPs), key regulators of immune homeostasis, in the regulation of neuroimmune and neuroinflammatory responses in the brain in vivo. Results We found that de novo expression of PD-L1, a potent inhibitory ICP, was robustly and transiently induced in reactive astrocytes, but not in microglia, neurons, or oligodendrocyte progenitor cells (OPCs). These PD-L1+ reactive astrocytes were highly enriched to form a dense zone around the TBI lesion. Blockade of PD-L1 signaling enlarged brain tissue cavity size, increased infiltration of inflammatory Ly-6CHigh monocytes/macrophages (M/Mɸ) but not tissue-repairing Ly-6CLowF4/80+ M/Mɸ, and worsened TBI outcomes in mice. PD-L1 gene knockout enhanced production of CCL2 that is best known for its ability to interact with its cognate receptor CCR2 on Ly-6CHigh M/Mϕ to chemotactically recruit these cells into inflammatory sites. Mechanically, PD-L1 signaling in astrocytes likely exhibits dual inhibitory activities for the prevention of excessive neuroimmune and neuroinflammatory responses to TBI through (1) the PD-1/PD-L1 axis to suppress the activity of brain-infiltrating PD-1+ immune cells, such as PD-1+ T cells, and (2) PD-L1 intrinsic signaling to regulate the timing and intensity of astrocyte reactions to TBI. Conclusions PD-L1+ astrocytes act as a gatekeeper to the brain to control TBI-related neuroimmune and neuroinflammatory responses, thereby opening a novel avenue to study the role of ICP–neuroimmune axes in the pathophysiology of TBI and other neurological disorders.

SUMMARYDiabetes is associated with increased mortality from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Given literature suggesting a potential association between SARS-CoV-2 infection and diabetes induction, we examined pancreatic expression of the key molecule for SARS-CoV-2 infection of cells, angiotensin-converting enzyme-2 (ACE2). Specifically, we analyzed five public scRNAseq pancreas datasets and performed fluorescence in situ hybridization, Western blotting, and immunolocalization for ACE2 with extensive reagent validation on normal human pancreatic tissues across the lifespan, as well as those from coronavirus disease 2019 (COVID-19) patients. These in silico and ex vivo analyses demonstrated pancreatic expression of ACE2 is prominent in pancreatic ductal epithelium and the microvasculature, with rare endocrine cell expression of this molecule. Pancreata from COVID-19 patients demonstrated multiple thrombotic lesions with SARS-CoV-2 nucleocapsid protein expression primarily limited to ducts. SARS-CoV-2 infection of pancreatic endocrine cells, via ACE2, appears an unlikely central pathogenic feature of COVID-19 as it relates to diabetes.

15Clinical sepsis is a highly dynamic state that progresses at variable rates and has life-16 threatening consequences. Staging patients along the sepsis timeline requires a thorough 17 knowledge of the evolution of cellular and molecular events at the tissue level. Here, we 18 investigated the kidney, an organ central to the pathophysiology of sepsis. Single cell RNA 19 sequencing revealed the involvement of various cell populations in injury and repair to be 20 temporally organized and highly orchestrated. We identified key changes in gene expression 21 that altered cellular functions and can explain features of clinical sepsis. These changes 22 converged towards a remarkable global cell-cell communication failure and organ shutdown at a 23 well-defined point in the sepsis timeline. Importantly, this time point was also a transition 24 towards the emergence of recovery pathways. This rigorous spatial and temporal definition of 25 murine sepsis will uncover precise biomarkers and targets that can help stage and treat human 26 sepsis. 27 28 associated UMAP positions from the merged Seurat object, as well as the principal component 340 table. This generated an RNA velocity Fig. mapped using the merged Seurat object cell 341 positions. Similar analysis was done for the immune subsetted data.342 Cell-cell communication analysis 343We applied the Cellphone database 41 of known receptor-ligand pairs to assess cell-cell 344 communication in our integrated dataset. Gene expression data from the integrated Seurat file