Publications by authors named "Linhai Cheng"

There is conflicting evidence in select mouse models and humans that suggest angiotensin-converting enzyme 2 expression is increased due to treatment with angiotensin converting enzyme inhibitors and angiotensin receptor blockers (ACEI/ARBs). Given the wide range of conditions that these medications treat, further evaluation is necessary to determine safety in the context of COVID-19. We sought to determine the association between use of ACEI/ARBs and COVID-19 severity in patients with essential hypertension.

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Background: Angiotensin receptor blockers (ARB) and angiotensin-converting enzyme inhibitors (ACEI) increase the expression of ACE2, which is a receptor for entry of SARS-CoV-2 into cells. Though evidence suggests that ARB/ACEI are safe among the general population with COVID-19, their safety in patients with overweight/obesity-related hypertension deserves further evaluation.

Objective: We assessed the association between ARB/ACEI use and COVID-19 severity in patients with overweight/obesity-related hypertension.

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Type 2 diabetes is often complicated with hypertension, such that 73.6 % of patients ≥ 18 years with type 2 diabetes also have hypertension. With increasing age, the risk of developing these conditions rises significantly.

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This scoping review synthesizes the existing research on the use of very low-calorie diets (VLCDs) in subjects with nonalcoholic fatty liver disease (NAFLD) and end-stage liver disease (ESLD). 19 studies were included, of which 5 were clinical trials, 11 were cohort studies, 1 was a case-control study, and 2 were case series totaling 968 subjects. About 17 studies were focused on patients with NAFLD while the two case series described in patients with ESLD on the transplant list or post-liver transplant.

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The changes in near-surface soil freeze-thaw cycles (FTCs) are crucial to understanding the related hydrological and biological processes in terrestrial ecosystems under a changing climate. However, long-term dynamics of soil FTCs at the hemisphere scale and the underlying mechanisms are not well understood. In this study, the spatiotemporal patterns and main driving factors of soil FTCs across the Northern Hemisphere (NH) during 1979-2017 were analyzed using multisource data fusion and attribution approaches.

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The alternative stable state (ASS) theory provides a plausible framework to explain the spatial distribution of biomes and their dynamics. Existing studies to test the alternative biome states (ABSs) mainly focused on tree-dominated biomes. It is still uncertain whether ABSs are present in a wide range of terrestrial biomes.

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The ability to identify a specific type of leukemia using minimally invasive biopsies holds great promise to improve the diagnosis, treatment selection, and prognosis prediction of patients. Using genome-wide methylation profiling and machine learning methods, we investigated the utility of CpG methylation status to differentiate blood from patients with acute lymphocytic leukemia (ALL) or acute myelogenous leukemia (AML) from normal blood. We established a CpG methylation panel that can distinguish ALL and AML blood from normal blood as well as ALL blood from AML blood with high sensitivity and specificity.

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