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Biology subjects

Lal, G.

Publications and source records attributed to Lal, G..

3 recordsLinked to original sources

Antagonizing the serotonin receptor HTR2B drives antigen-specific cytotoxic T-cell responses and controls colorectal cancer growth.

Neuroimmune communication is known to control various regulatory systems in the body. Serotonin (also known as 5-hydroxytryptamine, HT) is one of the neurotransmitters produced predominantly by enterochromaffin cells in the gut and the neurons of the central nervous system. Immune and cancer cells express several HT receptors (HTRs), and how HTRs modulate various immune pathways and contribute to cancer growth and metastasis is unclear. RNA-seq data analysis shows that human colon adenocarcinoma tissues with high HTR2B expression are associated with poor anti-tumor immune response and poor patient survival. Using an orthotopic mouse model of tumors, we show that HTR2B and other serotonergic molecule expressions are positively associated with colon tumor progression. Antagonizing the HTR2B using specific chemical antagonists significantly suppresses the progression of colon, breast, and melanoma tumors and metastasis in mice by promoting antigen-specific cytotoxic CD8 T cell response and downregulating the PD-L1 expression on tumor cells. Further, treatment with a combination of suboptimal doses of HTR2B antagonists and suboptimal doses of immunotherapy (anti-PD1, anti-PD-L1, or anti-CTLA4 mAb) or chemotherapeutic drugs (5-fluorouracil, oxaliplatin, or irinotecan) showed a robust anti-tumor response and inhibited colon tumor growth. Our finding showed that antagonizing the HTR2B holds a potent therapeutic advantage as a combinatorial regimen of either immunotherapy or chemotherapy to treat colon cancer. One sentence summaryHTR2B expression is associated with colon tumor progression, and antagonizing the HTR2B inhibits tumor growth and metastasis.

immunology↗

RORyt+CD4+ T cells promote IL-23R-mediated neuronal cell apoptosis in the central nervous system

Transcription factors T-bet and ROR{psi}t play a crucial role in neuronal autoimmunity, and mice deficient in these two factors do not develop experimental autoimmune encephalomyelitis (EAE). The independent role of T-bet and ROR{psi}t in the pathogenesis of EAE and how they help induce apoptosis of neurons in the central nervous system (CNS) during neuronal autoimmunity is unclear. In the present study, we showed that myelin oligodendrocyte glycoprotein (MOG35-55) peptide-specific Th1 cells deficient in ROR{psi}t could cross BBB but fail to induce apoptosis of neurons and EAE. Pathogenic Th17 cell-derived cytokines GM-CSF, TNF-, IL-17A, and IL-21 significantly increase the surface expression of IL-23R on neuronal cells. Furthermore, we showed that, in EAE, neurons in the brain and spinal cord express IL-23R. IL-23-IL-23R signaling in neuronal cells caused phosphorylation of STAT3 (Ser727 and Tyr705) and induced cleaved caspase 3 and cleaved poly (ADP-ribose) polymerase-1 (PARP-1) molecules in an IL-23R-dependent manner and caused apoptosis. Thus, we provided a mechanism where we showed that T-bet is required to recruit pathogenic Th17 cells and ROR{psi}t expression to drive the apoptosis of IL-23R+ neurons in the CNS and cause EAE. Understanding detailed molecular mechanisms will help to design better strategies to control neuroinflammation and autoimmunity. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/537133v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@2586b0org.highwire.dtl.DTLVardef@1adb3deorg.highwire.dtl.DTLVardef@fbce53org.highwire.dtl.DTLVardef@1a6d4ae_HPS_FORMAT_FIGEXP M_FIG C_FIG One Sentence SummaryIL-23-IL-23R signaling promotes apoptosis of CNS neurons.

immunology↗

Phylogenomic analysis of SARS-CoV-2 genomes from western India reveals unique linked mutations

India has become the third worst-hit nation by the COVID-19 pandemic caused by the SARS-CoV-2 virus. Here, we investigated the molecular, phylogenomic, and evolutionary dynamics of SARS-CoV-2 in western India, the most affected region of the country. A total of 90 genomes were sequenced. Four nucleotide variants, namely C241T, C3037T, C14408T (Pro4715Leu), and A23403G (Asp614Gly), located at 5UTR, Orf1a, Orf1b, and Spike protein regions of the genome, respectively, were predominant and ubiquitous (90%). Phylogenetic analysis of the genomes revealed four distinct clusters, formed owing to different variants. The major cluster (cluster 4) is distinguished by mutations C313T, C5700A, G28881A are unique patterns and observed in 45% of samples. We thus report a newly emerging pattern of linked mutations. The predominance of these linked mutations suggests that they are likely a part of the viral fitness landscape. A novel and distinct pattern of mutations in the viral strains of each of the districts was observed. The Satara district viral strains showed mutations primarily at the 3' end of the genome, while Nashik district viral strains displayed mutations at the 5' end of the genome. Characterization of Pune strains showed that a novel variant has overtaken the other strains. Examination of the frequency of three mutations i.e., C313T, C5700A, G28881A in symptomatic versus asymptomatic patients indicated an increased occurrence in symptomatic cases, which is more prominent in females. The age-wise specific pattern of mutation is observed. Mutations C18877T, G20326A, G24794T, G25563T, G26152T, and C26735T are found in more than 30% study samples in the age group of 10-25. Intriguingly, these mutations are not detected in the higher age range 61-80. These findings portray the prevalence of unique linked mutations in SARS-CoV-2 in western India and their prevalence in symptomatic patients. ImportanceElucidation of the SARS-CoV-2 mutational landscape within a specific geographical location, and its relationship with age and symptoms, is essential to understand its local transmission dynamics and control. Here we present the first comprehensive study on genome and mutation pattern analysis of SARS-CoV-2 from the western part of India, the worst affected region by the pandemic. Our analysis revealed three unique linked mutations, which are prevalent in most of the sequences studied. These may serve as a molecular marker to track the spread of this viral variant to different places.

genomics↗