Early cellular and molecular signatures correlate with severity of West Nile virus infection

Lee, Ho-Joon; Zhao, Yujiao; Fleming, Ira; Mehta, Sameet; Wang, Xiaomei; Wyk, Brent Vander; Ronca, Shannon E.; Kang, Heather; Chou, Chih-Hung; Fatou, Benoit; Smolen, Kinga K.; Levy, Ofer; Clish, Clary B.; Xavier, Ramnik J.; Steen, Hanno; Hafler, David A.; Love, J. Christopher; Shalek, Alex K.; Guan, Leying; Murray, Kristy O.; Kleinstein, Steven H.; Montgomery, Ruth R.

doi:10.1016/j.isci.2023.108387

Cited by 5 publications

(1 citation statement)

References 120 publications

(172 reference statements)

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“…Mendelian randomization, an epidemiological method using genetic variants as instrumental variables, assesses causal relationships between exposures and disease outcomes. This approach helps mitigate confounding and reverse causation issues common in traditional observational studies ( Lee et al, 2023 ; Shigemura et al, 2023 ; Wang H. et al, 2023 ; Wang M. et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Single-cell transcriptomics and Mendelian randomization reveal LUCAT1’s role in right-sided colorectal cancer risk

Shang,

Xi,

Lai

et al. 2024

Front. Genet.

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Background: Colorectal cancer (CRC) is a malignancy with high incidence and mortality rates globally, categorized into left-sided and right-sided CRC, each exhibiting significant differences in molecular characteristics, clinical manifestations, and prognosis.Methods: This study employed single-cell transcriptomic data and various bioinformatics approaches, such as two-sample Mendelian randomization, reverse Mendelian randomization, colocalization analysis, directed filtering, pseudotime analysis, and intercellular communication analysis. It analyzed cellular-level disparities between left-sided and right-sided CRC, identifying distinct subpopulations with characteristic variations. For these cells, two-sample Mendelian randomization was utilized to explore gene-to-one-sided CRC causality.Results: LUCAT1 was enriched in high-abundance monocyte subpopulations in right-sided CRC and demonstrated potential risk factor status through Mendelian randomization analysis. The specific single-nucleotide polymorphism (SNP) rs10774624 was associated with an increased risk of CRC. Moreover, metabolic pathway analysis revealed that LUCAT1+ monocytes exhibit lower communication activity in the tumor microenvironment and heightened activity in metabolic functions like glycosaminoglycan degradation. Its biological functions are related to the positive regulation of interleukin-6 production and NF-kappa B signaling, among others.Conclusion: This study confirmed a potential causal relationship between LUCAT1 and right-sided CRC risk through Mendelian randomization analysis. These findings provide novel insights into the pathogenesis of right-sided CRC and may aid in developing early detection and treatment strategies for right-sided CRC.

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Section: Introductionmentioning

confidence: 99%

Single-cell transcriptomics and Mendelian randomization reveal LUCAT1’s role in right-sided colorectal cancer risk

Shang,

Xi,

Lai

et al. 2024

Front. Genet.

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West Nile viruses: Infection of the central nervous system (CNS)

Nolan,

Dye-Braumuller

2025

Neurobiology of Infectious Diseases

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Insights From Omics in Lyme Disease

Bockenstedt,

Belperron

2024

The Journal of Infectious Diseases

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Lyme disease is a zoonotic infection due to Ixodes tick–transmitted Borrelia burgdorferi sensu lato spirochetes and the most common vector-borne disease in the Northern Hemisphere. Despite nearly 50 years of investigation, the pathogenesis of this infection and its 2 main adverse outcomes—postinfectious Lyme arthritis and posttreatment Lyme disease syndrome—are incompletely understood. Advancement in sequencing and mass spectrometry have led to the rapid expansion of high-throughput omics technologies, including transcriptomics, metabolomics, and proteomics, which are now being applied to human diseases. This review summarizes findings of omics studies conducted on blood and tissue samples of people with acute Lyme disease and its postinfectious outcomes.

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Early cellular and molecular signatures correlate with severity of West Nile virus infection

Cited by 5 publications

References 120 publications

Single-cell transcriptomics and Mendelian randomization reveal LUCAT1’s role in right-sided colorectal cancer risk

Single-cell transcriptomics and Mendelian randomization reveal LUCAT1’s role in right-sided colorectal cancer risk

West Nile viruses: Infection of the central nervous system (CNS)

Insights From Omics in Lyme Disease

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