Publications by authors named "Yufen Zheng"

Objective: To investigate the impact of SARS-CoV-2 infection on liver function and prognosis in patients with HBV infection.

Methods: A total of 154 HBV-positive patients (HBV ( +) group) and 154 HBV-negative patients (HBV (-) group) diagnosed with COVID-19 at Taizhou Hospital between December 10, 2022, and January 31, 2023, were included in this study. Clinical characteristics, treatment, and laboratory findings were collected from patients at three time points: before (T1), during (T2), and at the time of discharge (T3) from SARS-CoV-2 infection.

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  • Hyperuricaemia is prevalent among obese youth and is linked with insulin resistance; this study investigates how insulin resistance and lifestyle factors influence hyperuricaemia in adolescents.
  • The research involved 233 adolescents, assessing insulin resistance using the HOMA-IR method and examining its association with hyperuricaemia and serum uric acid levels through logistic regression analysis.
  • Results showed a significant connection between high HOMA-IR and increased risk of hyperuricaemia, with lifestyle factors like exercising regularly correlating with lower uric acid levels; the HOMA-IR was identified as a key predictor for developing hyperuricaemia.
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  • Antibody-dependent enhancement (ADE) poses a risk for Zika virus vaccine development, as some antibodies might enhance dengue virus infections rather than neutralize them.
  • Researchers found that a dimeric form of Zika's envelope protein (EDIII) fused to a human antibody fragment (EDIII-Fc), delivered via circular RNA (circRNA), provokes stronger immune responses and higher levels of neutralizing antibodies than other forms of EDIII.
  • This optimized circRNA vaccine shows effective protection against lethal Zika infections in mice, while minimizing the risk of causing ADE with dengue virus, suggesting a promising approach for future flavivirus vaccines.
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  • The study aimed to explore how COVID-19 correlates with the direct antiglobulin test (DAT) results, focusing on developing a predictive model for in-hospital mortality based on DAT types among patients with COVID-19.
  • The analysis involved 502 patients tested for DAT, revealing that those who were DAT-positive had a higher rate of confirmed COVID-19 cases and worse clinical indicators compared to DAT-negative patients.
  • Key findings indicated that DAT-positive patients had higher mortality and comorbidity scores, with a predictive model utilizing DAT type, red blood cell distribution width (RDW), and estimated glomerular filtration rate (eGFR) providing significant predictive accuracy for in-hospital mortality risk.
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  • * Pulmonary long COVID was observed in 8.7% and 17.8% of patients at 1- and 2-year visits, while renal long COVID affected 15.2% and 23.9% of patients, respectively.
  • * A machine learning model accurately predicted these long COVID outcomes using initial clinical and multi-omics data, and proteomics identified specific biomarkers linked to lung and kidney issues.
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Unexpectedly facile dearomative intramolecular (4+3) cycloadditions of thiophenes with epoxy enolsilanes, providing sulfur-bridged cycloadducts, are reported. A total of fifteen thiophene substrates have been found to undergo (4+3) cycloaddition smoothly to produce endo and exo (4+3) adducts in yields of up to 83 % with moderate to good diastereoselectivity. Complete conservation of enantiomeric purity was observed when the optically enriched epoxide was used.

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Background: Self-care is crucial for maintaining the health and quality of life of individuals undergoing physical examinations, especially those with abnormal test results because they are at a higher risk of experiencing worse outcomes. However, there is currently a lack of comprehensive literature on the impact of sociodemographic and clinical factors on self-care practices related to serum potassium concentration among individuals undergoing physical examinations. Therefore, this study aimed to explore the sociodemographic and clinical factors influencing serum potassium concentration.

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Background: White matter injury (WMI) is an important type of preterm brain injury, which may result in severe neurological sequelae and lack of effective treatments. It is ascertained that selective vulnerability of oligodendrocytes is closely related to the WMI in preterm infants. But the alteration of the endogenous oligodendrogenesis over long time after hypoxic-ischemic WMI is still not clearly elucidated.

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Objectives: Waning vaccine-induced immunity and emergence of new severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants which may lead to immune escape, pose a major threat to the COVID-19 pandemic. Currently, enhanced efficacy of the neutralization antibodies (NAb) produced after the booster dose of vaccinations against the Omicron variant is the main focus of vaccine strategy research. In this study we have analyzed the potency of the NAbs and IgGs produced after the third vaccine dose in patients infected with Omicron variant and wild-type (WT) SARS-CoV-2.

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Objective: In 2022, a new coronavirus variant (Omicron) infection epidemic broke out in Shanghai, China. However, it is unclear whether the duration of this omicron variant is different from that of the prototype strain.

Methods: We retrospectively analyzed 157 cases of Omicron variant infection in Taizhou Public Health Center from March 29, 2022, to April 18, 2022, and observed the dynamics of nucleic acid Ct values during the admission and discharge of patients.

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Serum antibodies IgM and IgG are elevated during Coronavirus Disease 2019 (COVID-19) to defend against viral attacks. Atypical results such as negative and abnormally high antibody expression were frequently observed whereas the underlying molecular mechanisms are elusive. In our cohort of 144 COVID-19 patients, 3.

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The physical condition of individuals who contracted COVID-19 had a profound influence on mitigating the physical and psychological impact of the disease and the symptoms of posttraumatic stress disorder (PTSD). Little attention has been focused on the influence of physical condition on PTSD among recovered COVID-19 subjects. This study explored the relationship between physical and psychological status and PTSD and the potential mechanisms.

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Purpose: We evaluated the differences between patients with SARS-CoV-2 Omicron variant infections and Fever outpatients, so that prevention and control measures can be taken in time.

Patients And Methods: This study retrospectively analyzed 65 patients with SARS-CoV-2 Omicron variant. Sixty-nine age- and sex-matched Fever outpatients were enrolled during the same period of time.

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Responding to the fast-spreading SARS-CoV-2 Omicron variant, to improve screening efficiency, rapid antigen tests (RATs) were first added as a supplementary detection method in China in mid-March, 2022. What and how big a role RATs should play need to be supported by clinical data. Here, RAT performance and relevant factors in comparison with nucleic acid amplification tests (NAATs) were assessed in Omicron-infected inpatients.

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  • Pancreatic adenocarcinoma (PAAD) is a highly aggressive cancer with significant morbidity and mortality, and researchers are exploring how the hypoxic environment affects cancer progression and treatment.
  • This study aims to create a gene signature related to hypoxia and stemness to help predict patient outcomes in PAAD using data from The Cancer Genome Atlas (TCGA).
  • The researchers established an eight-gene signature that can accurately predict patient survival rates and separate patients into high- and low-risk categories based on their risk scores, showing a direct correlation with immune responses.
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According to previous studies, mental status in 1-year COVID-19 survivors might range from 6-43%. Longer-term psychological consequences in recovered COVID-19 subjects are unknown, so we analyzed longer-term quality of life and mental status in recovered COVID-19 subjects at 2 years after infection. Among 144 recovered COVID-19 subjects in the Taizhou region, 73 and 45 completed face-to-face follow-ups at the first year and second year after infection, respectively, with a 61.

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Objective: Facing the challenge to manage the SARS-CoV-2 RNA re-positive in discharged COVID-19 patients, it is necessary to explore the limited early risk factors for identifying SARS-CoV-2 RNA re-positive. The triglyceride and glucose index (TyG) has been developed as a surrogate marker of insulin resistance. This study aims to evaluate the correlation of the TyG index with the re-positive of COVID-19.

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The utility of the urinary proteome in infectious diseases remains unclear. Here, we analyzed the proteome and metabolome of urine and serum samples from patients with COVID-19 and healthy controls. Our data show that urinary proteins effectively classify COVID-19 by severity.

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RT-PCR is the primary method to diagnose COVID-19 and is also used to monitor the disease course. This approach, however, suffers from false negatives due to RNA instability and poses a high risk to medical practitioners. Here, we investigated the potential of using serum proteomics to predict viral nucleic acid positivity during COVID-19.

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Purpose: Diabetes mellitus (DM) has been known as a major chronic health problem in China. Suboptimal management of diabetic patients may incur serious complications, even death. The quality of post-hospital care has a good relationship with community pharmacists.

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Background: COVID-19 is spreading rapidly all over the world, the patients' symptoms can be easily confused with other pneumonia types. Therefore, it is valuable to seek a laboratory differential diagnostic protocol of COVID-19 and other pneumonia types on admission, and to compare the dynamic changes in laboratory indicators during follow-up.

Methods: A total of 143 COVID-19, 143 bacterial pneumonia and 145 conventional viral pneumonia patients were included.

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Early detection and effective treatment of severe COVID-19 patients remain major challenges. Here, we performed proteomic and metabolomic profiling of sera from 46 COVID-19 and 53 control individuals. We then trained a machine learning model using proteomic and metabolomic measurements from a training cohort of 18 non-severe and 13 severe patients.

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Background: Since December 2019, there had been an outbreak of COVID-19 in Wuhan, China. At present, diagnosis COVID-19 were based on real-time RT-PCR, which have to be performed in biosafe laboratory and is unsatisfactory for suspect case screening. Therefore, there is an urgent need for rapid diagnostic test for COVID-19.

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Objectives In December 2019, there was an outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China, and since then, the disease has been increasingly spread throughout the world. Unfortunately, the information about early prediction factors for disease progression is relatively limited. Therefore, there is an urgent need to investigate the risk factors of developing severe disease.

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Objective: Reactive oxygen species are believed to be involved in the onset of RA, and the association between nuclear-encoded mitochondrial respiratory chain-related variants and RA has recently been revealed. However, little is known about the landscape of mitochondrial DNA (mtDNA) variants in RA.

Methods: Next-generation sequencing was conducted to profile mtDNA germline and somatic variants in 124 RA patients and 123 age- and sex-matched healthy controls in the Taizhou area, China.

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