Publications by authors named "Xing Yu Zhu"

Article Synopsis
  • Pathological cardiac hypertrophy, commonly seen in heart diseases, can be treated more effectively with combination therapies using natural compounds like Harmine and Selenomethionine (SE).
  • Harmine helps reduce cardiac hypertrophy, while SE improves cardiac health by mitigating autophagy-related damage.
  • Their co-therapy has shown significant improvements in reducing hypertrophy markers in lab tests and mouse models, with findings indicating they primarily work by inhibiting glycolytic activity.
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Backgrounds: Risk stratification for major adverse cardiovascular events (MACE) within one year in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) remains a challenge. Although several predictive models based on machine learning have emerged, they are difficult to understand. This study aimed to develop a machine learning prediction model that is easy to understand and trustworthy by lay people to assess the risk of MACE in ACS patients undergoing PCI within one year of the procedure.

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Article Synopsis
  • Pulmonary embolisms (PEs) can mimic acute coronary syndrome (ACS), leading to potential misdiagnoses, particularly in emergency situations due to overlapping symptoms and test results.
  • A case of a 68-year-old woman presented with syncope and elevated troponin levels, initially diagnosed with ACS, but was later confirmed to have an acute PE following further evaluation.
  • The case underscores the need for clinicians to remain alert to the distinct and nonspecific signs of PE to avoid misdiagnosing the condition, especially when faced with complicating factors like chronic coronary symptoms.
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Spin qubits in semiconductor quantum dots are an attractive candidate for scalable quantum information processing. Reliable quantum state transfer and entanglement between spatially separated spin qubits is a highly desirable but challenging goal. Here, we propose a fast and high-fidelity quantum state transfer scheme for two spin qubits mediated by virtual microwave photons.

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Diabetic kidney disease (DKD), a significant complication associated with diabetes mellitus, presents limited treatment options. The progression of DKD is marked by substantial lipid disturbances, including alterations in triglycerides, cholesterol, sphingolipids, phospholipids, lipid droplets, and bile acids (BAs). Altered lipid metabolism serves as a crucial pathogenic mechanism in DKD, potentially intertwined with cellular ferroptosis, lipophagy, lipid metabolism reprogramming, and immune modulation of gut microbiota (thus impacting the liver-kidney axis).

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Introduction: Malnutrition is strongly associated with heart failure (HF); however, the causal link remains unclear. We used Mendelian randomization (MR) to infer causal associations between different nutritional assessment phenotypes and HF and to analyze whether these associations were mediated by common HF risk factors.

Methods: Two-sample bidirectional MR was used to infer causal associations between nutritional assessment phenotypes and HF.

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Background: Genus Paeonia, which is the main source of Traditional Chinese Medicine (TCM) Paeoniae Radix Rubra (Chishao in Chinese), Paeoniae Radix Alba (Baishao in Chinese) and Moutan Cortex (Mudanpi in Chinese), is rich in active pharmaceutical ingredient such as monoterpenoid glycosides (MPGs). MPGs from Paeonia have extensive pharmacological effects, but the pharmacological effects and molecular mechanisms of MPGs has not been comprehensively reviewed.

Purpose: MPGs compounds are one of the main chemical components of the genus Paeonia, with a wide variety of compounds and strong pharmacological activities, and the structure of the mother nucleus-pinane skeleton is similar to that of a cage.

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The objective of this study was to evaluate the predictive value of the Geriatric Nutritional Risk Index (GNRI) combined with the Systemic Immunoinflammatory Index (SII) for the risk of major adverse cardiovascular events (MACE) following percutaneous coronary intervention in elderly patients with acute coronary syndrome (ACS). We retrospectively reviewed the medical records of 1202 elderly patients with acute coronary syndromes divided into MACE and non-MACE groups according to whether they had a MACE. The sensitivity analysis utilized advanced machine learning algorithms to preliminarily identify the critical role of GNRI versus SII in predicting MACE risk.

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Diabetic kidney disease (DKD) is a prevailing complication arising from diabetes mellitus. Unfortunately, there are no trustworthy and efficacious treatment modalities currently available. In recent times, compelling evidence has emerged regarding the intricate correlation between the kidney and the gut microbiota, which is considered the largest immune organ within the human physique.

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To determine the most appropriate nutritional assessment tool for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI from four nutritional assessment tools including PNI, GNRI, CONUT, and BMI. Consecutive cases diagnosed with acute coronary syndrome (ACS) and underwent percutaneous coronary intervention (PCI) in the Department of Cardiovascular Medicine of the Air force characteristic medical center from 1 January 2020 to 1 April 2022 were retrospectively collected. The basic clinical characteristics and relevant test and examination indexes were collected uniformly, and the cases were divided into the MACE group (174 cases) and the non-MACE group (372 cases) according to whether a major adverse cardiovascular event (MACE) had occurred within 1 year.

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Self-incompatibility is the system that inhibits pollen germination and pollen tube growth by self-pollen. This trait is important for the breeding of and species. In these species, self-incompatibility is governed by the locus, which contains three linked genes (a set called the haplotype), i.

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Introduction: Heart Failure (HF) is a key area of research in human medicine, and traditional Chinese medicine (TCM) is an important branch of this field. This study aimed to use bibliometric methods to sort out the trajectory of TCM research on HF in this century (2000-2022) from a high dimension and to analyze its characteristics, hotspots and frontiers.

Methods: In this study, the search formula "TS=(("traditional Chinese medicine") OR ("Chinese medicine")) AND TS=("heart failure")" was used to find relevant studies included in the Web of Science Core Collection from 2000 to 2022.

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The soil's rhizosphere is a highly active place where the exchange of substances and information occurs among plants, soils, and microorganisms. The microorganisms involved are crucial to the activities of plant growth and development, metabolism, and reproduction. L.

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Article Synopsis
  • Drug-induced liver injury (DILI) is a major cause of liver disease worldwide, often linked to both prescription and non-prescription medications like acetaminophen.
  • Ginsenoside Rg1 from traditional Chinese medicine activates the Nrf2 signaling pathway and supports glutathione regulation, showing promise for treating acetaminophen-induced liver injury.
  • The review highlights the potential of hydrogel-based nanocomposites as carriers for TCM while addressing challenges in reducing toxicity, aiming to enhance the effectiveness of TCM in treating DILI.
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Background: Glucocorticoids are the most effective anti-inflammatory and immunosuppressive drugs used to treat patients with renal disease. This study pooled the current evidence of the efficacy of Glucocorticoids and Glucocorticoid-induced hyperglycaemia in renal disease.

Methods: We conducted a systematic literature search on PubMed, Cochrane Central, and Web of Science for relevant randomized controlled trials (RCTs) up to September 1, 2021.

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Interleukin-38 (IL-38), a new cytokine of interleukin-1 family (IL-1F), is expressed in the human heart, kidney, skin, etc. Recently, new evidence indicated that IL-38 is involved in the process of different autoimmune diseases. Autoimmune diseases are a cluster of diseases accompanied with tissue damage caused by autoimmune reactions, including rheumatoid arthritis (RA), psoriasis, etc.

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Inflammasomes are large multimolecular complexes best recognized because of their ability to control activation of caspase-1, which in turn regulates the maturation of interleukin-18 (IL-18) and interleukin-1 β (IL-1β). IL-1β was originally identified as a pro-inflammatory cytokine, capable of inducing local and systemic inflammation as well as a fever response reaction in response to infection or injury. Excessive production of IL-1β is related to inflammatory and autoimmune diseases.

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It is known that liver diseases have several characteristics of massive lipid accumulation and lipid metabolic disorder, and are divided into liver inflammation, liver fibrosis, liver cirrhosis (LC), and hepatocellular carcinoma (HCC) in patients. Interleukin (IL)-35, a new-discovered cytokine, can protect the liver from the environmental attack by increasing the ratio of Tregs (T regulatory cells) which can increase the anti-inflammatory cytokines and inhibit the proliferation of immune cellular. Interestingly, two opposite mechanisms (pro-inflammatory and anti-inflammatory) have connection with the ultimate formation of liver diseases, which suggest that IL-35 may play crucial function in the process of liver diseases through immunosuppressive regulation.

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The selectivity of chemotherapeutic agents for liver cancer is poor. When they kill tumour cells, they produce serious adverse reactions in the whole body and multidrug resistance (MDR) is also a major hurdle in liver cancer chemotherapy. Combination therapy is a useful method for overcoming MDR and reducing toxic and side effects.

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Stable quantum memories that capable of storing quantum information for long time scales are an essential building block for an array of potential applications. The long memory time are usually achieved via dynamical decoupling technique involving decoupling of the memory states from its local environment. However, because this process is strongly limited by the errors in the pulses, an noise-protected scheme remains challenging in the field of quantum memories.

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Reliable information transmission between spatially separated nodes is fundamental to a network architecture for scalable quantum technology. Spin qubit in semiconductor quantum dots is a promising candidate for quantum information processing. However, there remains a challenge to design a practical path from the existing experiments to scalable quantum processor.

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A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

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The hybrid system of electron spins and resonator photons is an attractive architecture for quantum computing owing to the long coherence times of spins and the promise of long-distance coupling between arbitrary pairs of qubits via photons. For the device to serve as a building block for a quantum processer, it is also necessary to readout the spin qubit state. Here we analyze in detail the measurement process of an electron spin singlet-triplet qubit in quantum dots using a coupled superconducting resonator.

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Multiple system atrophy with predominant parkinsonism (MSA-P) is a degenerative disorder that presents with autonomic dysfunction, atypical parkinsonism, and ataxia. Parkinson's disease (PD) is an age-related neurological disorder of the central nervous system. Differentiation between MSA-P and PD is important because treatments, complications, and prognoses differ.

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