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Pons, J.

Publications and source records attributed to Pons, J..

6 recordsLinked to original sources

Dual blockade of LILRB1 and LILRB2 enhances antiviral immune responses in SIV infection

Restoring effective antiviral immunity remains a major challenge in HIV infection. Among emerging immune checkpoint molecules, the inhibitory receptors LILRB1 and LILRB2 have been proposed as therapeutic targets, yet their in vivo function remains undefined due to the lack of cross-reactive blocking antibodies for relevant preclinical models. To address this, we developed a dual-specific blocking monoclonal antibody, mac20G10, targeting cynomolgus macaque LILRB1 and LILRB2 and assessed its immunomodulatory activity in an SIV model of infection. Pharmacodynamics analyses demonstrated that mac20G10 persisted in circulation and engaged target myeloid cells for up to 14 days without detectable adverse effects. A single administration prior to SIVmac251 infection enhanced early myeloid immune activation, characterized by increased frequencies of CD80+ pDC and CD80+ monocyte/macrophage subsets in blood and lymphoid tissues. These changes were accompanied by increased plasma levels of IFN-{lambda}, IL8, and IL-1RA during acute infection. Although viral replication remained unchanged, mac20G10 treatment promoted the development of SIV-specific memory CD8 T-cell responses. Together, these findings provide in vivo evidence that LILRB1 and LILRB2 function as myeloid immune checkpoints restraining antiviral priming, supporting this pathway as a rational target for combination immunotherapeutic strategies aimed at achieving durable HIV remission during analytic treatment interruption.

immunology↗

Integrating Secondary Structure Information Enhances Phylogenetic Signal in Mitochondrial Protein Coding Genes

Secondary structures have long been held to carry significant phylogenetic information, but the difficulty in collating primary sequence and structural information has frequently hindered its full application in phylogenetic studies. Here, we focus on the implementation of secondary structure information (inner, outer and transmembrane regions) to improve partitioning in datasets of mitochondrial Protein-Coding Genes for phylogenetic analysis. A new pipeline called TRAMPO was developed to partition alignment sites accordingly. The inclusion of this structural information in phylogenetic analyses was shown to produce an improvement in the phylogenetic signal of mitochondrial protein coding genes. We speculate that the observed, distinctive, compositional bias towards thymines in second codon sites of transmembrane regions, as well as selection, may be among the possible driving forces. This effect is especially relevant in lineages older than 50 Ma, where the signal of second codon positions becomes more relevant as first and third codon sites begin experiencing saturation.

evolutionary biology↗

Hepatitis E Virus-induced antiviral response by plasmacytoid dendritic cells is modulated by the ORF2 protein

Type I and III interferons (IFN-I/III) are critical to protect the host during viral infection. Previous studies have shown that IFN-mediated antiviral responses against hepatitis E virus (HEV) are suppressed and defeated by viral escape mechanisms at play in infected hepatocytes. Here, we studied the anti-HEV function of IFN secreted by plasmacytoid dendritic cells (pDCs), which are specialized producers of IFNs. We showed that pDCs co-cultured with HEV-replicating cells secreted IFN in a cell-to-cell contact-dependent manner. Pharmacological inhibitor and antibodies targeting contact proteins revealed that pDC response against HEV required the endosomal nucleic-acid sensor TLR7 and adhesion molecules, such as ICAM-I and L{beta}2-integrin. IFNs secreted by pDCs reduced viral spread. Intriguingly, ORF2, the capsid protein of HEV, can be produced in various forms by the infected cells. During infection, a fraction of the intracellular ORF2 protein localizes into the nucleus while another ORF2 fraction packages viral genomes to produce infectious virions. In parallel, glycosylated forms of ORF2 are also massively secreted by infected cells. Using viral genome expressing ORF2 mutants, we showed that glycosylated ORF2 forms contribute to better recognition of infected cells by pDCs via regulation of contacts between infected cells and pDCs. ORF2 forms may thus modulate pDC-mediated anti-HEV response. Together, our results suggest that liver-resident pDCs, which exhibit comparable IFN-producing ability as blood-derived pDCs, may be essential to control HEV replication.

immunology↗

Toward a generalizable deep CNN for neural drive estimation across muscles and participants

High-density electromyography (HD-EMG) decomposition algorithms are used to identify individual motor unit spike trains, which collectively constitute the neural code of movements, to predict motor intent. This approach has advanced from offline to online decomposition, from isometric to dynamic contractions, leading to a wide range of neural-machine interface applications. However, current online methods need offline retraining when applied to the same muscle on a different day or to a different person, which limits their applications in a real-time neural-machine interface. We proposed a deep convolutional neural network (CNN) framework for neural drive estimation, which captures general spatiotemporal properties of motor unit action potentials to generalize its application without retraining to HD-EMG data recorded in separate sessions, muscles, and participants. We recorded HD-EMG signals from the vastus medialis and vastus lateralis muscles while participants performed isometric contractions during two sessions separated by approximately 20 months. We identified motor unit spike trains from HD-EMG signals using a blind source separation (BSS) method, and then used the cumulative spike train (CST) of these motor units and the HD-EMG signals to train and validate the deep CNN. On average, the correlation coefficients between CST from BSS and that from deep CNN were 0.977{+/-}0.007 for leave-one-out across-sessions-and-muscles validation and 0.985{+/-}0.005 for leave-one-out across-participants validation. When trained with more than four datasets, the performance of deep CNN saturated at 0.979{+/-}0.001 for cross validations across muscles, sessions, and participants. Therefore, we can conclude that the deep CNN is generalizable across the afore-mentioned conditions without retraining. We could potentially generate a robust deep CNN to estimate neural drive to muscles for neural-machine interfaces.

neuroscience↗

Two snakebite antivenoms have potential to reduce Eswatini's dependency upon a single, increasingly unavailable product: results of preclinical efficacy testing

BackgroundSnakebite is a major public health concern in Eswatini, where treatment relies upon one antivenom - SAIMR Polyvalent. Although effective in treating snakebite, SAIMR Polyvalent is difficult to source outside its manufacturing country (South Africa) and is dauntingly expensive. We compared the preclinical venom-neutralising efficacy of two alternative antivenoms and SAIMR Polyvalent against the lethal and tissue-destructive effects of venoms from five species of medically important snakes using in vivo murine assays. The test antivenoms were Panafrican manufactured by Instituto Clodomiro Picado and PANAF manufactured by Premium Serums & Vaccines. Principal FindingsIn vivo murine preclinical studies identified both test antivenoms were equally or more effective than SAIMR Polyvalent at neutralising lethal and tissue-destructive effects of Naja mossambica venom. Both test antivenoms were less effective than SAIMR Polyvalent at neutralising the lethal effects of Bitis arietans, Dendroaspis polylepis, Hemachatus haemachatus and Naja annulifera venoms, but similarly effective at neutralising tissue damage induced by B. arietans and H. haemachatus venoms. In vitro immunological assays identified that IgG titres and toxin-specificities of the test antivenoms were comparable to SAIMR Polyvalent. Plasma clotting disturbances by H. haemachatus and N. mossambica were effectively neutralised by the test antivenoms, whereas SAIMR Polyvalent failed to neutralise this bioactivity of N. mossambica venom. The SVMP activity of B. arietans venom was equally reduced by all three antivenoms. The PLA2 activities of H. haemachatus and N. mossambica were effectively neutralised by all three antivenoms. ConclusionsPanafrican outperformed PANAF, though both were less poly-specifically effective than SAIMR Polyvalent. The efficacy of these antivenoms against the lethal and tissue-destructive effects of N. mossambica venom, the most common biting species in Eswatini, identify that Panafrican and PANAF antivenoms offer effective alternatives to SAIMR for the treatment of snakebite in Eswatini, and potentially for neighbouring countries. Author SummaryTreatment of snakebite in Eswatini is reliant upon a single antivenom (SAIMR Polyvalent) manufactured in South Africa. This highly effective product is increasingly difficult to source and is expensive - alternative/additional antivenoms are urgently required to improve patient outcomes following snake envenoming. Using murine preclinical venom toxicity and antivenom efficacy assays, we identified two alternative antivenoms whose venom-neutralising characteristics, while less poly-specifically effective than SAIMR Polyvalent, were as effective against the lethal and tissue-destructive effects of the most common biting snake in Eswatini - Naja mossambica. This murine data, already shared with the Eswatini Ministry of Health, supports and justifies human testing of these two antivenoms in Eswatini because increasing the availability of effective and affordable treatments could resolve the current medical dependency of Eswatini snakebite patients upon a single, rarely available and expensive product.

pharmacology and toxicology↗

Anti-GD2 antibody disrupts GD2:Siglec-7 interactions and synergizes with CD47 blockade to mediate tumor eradication

The disialoganglioside GD2 is consistently overexpressed in neuroblastoma and osteosarcoma, and is variably expressed in other sarcomas, gliomas, neuroendocrine tumors, and epithelial cancers. Anti-GD2 antibodies have improved the survival rates of patients with neuroblastoma only when administered as part of intense chemotherapy-based cytotoxic regimens, which are associated with debilitating late effects including hearing loss, growth retardation, and secondary leukemias. Despite broad expression of GD2 on osteosarcoma, anti-GD2 antibody has not mediated significant antitumor activity in that disease or any other GD2+ cancers. CD47 is a checkpoint molecule overexpressed on tumor cells that inhibits macrophage activity, and CD47 blockade has demonstrated promising clinical activity in early human trials. We investigated whether anti-CD47 antibody could enhance the efficacy of anti-GD2 antibody in neuroblastoma and other GD2+ malignancies. We demonstrate substantial synergy of these two agents, resulting in the recruitment of tumor associated macrophages (TAMs) to mediate robust and durable anti-tumor responses. The responses are driven by GD2-specific factors that reorient the balance of macrophage activity towards phagocytosis of tumor cells, including disruption of a newly described GD2:Siglec-7 axis. These results demonstrate the unique synergy of combining anti-GD2 with anti-CD47, which has the potential to significantly enhance outcomes for children with neuroblastoma and osteosarcoma and will soon be investigated in a first-in-human clinical trial.

immunology↗