Publications by authors named "Chunyang Pang"

Background: Post-stroke stress can trigger instant survival but its influence on long-term ischemic stroke outcomes remains controversial. Thus, we sought to explore the associations of acute post-stroke stress evidenced by endocrine and metabolic changes, with long-term ischemic stroke outcomes.

Methods: Admissions for acute ischemic stroke within seven days of onset were prospectively recruited to determine acute endocrine and metabolic variations measured by thyroid parameters and the stress hyperglycemia ratio (SHR).

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  • * The study analyzed data from over 500,000 UK Biobank participants, discovering that those with liver disease were significantly more likely to develop ALS, with a hazard ratio of 7.35.
  • * The findings indicated that higher levels of liver disease activity measured by cT1 (a specific MRI metric) correlated with increased ALS risk, even after adjusting for various health factors.
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  • The study aimed to explore how liver function biomarkers could predict clinical outcomes in patients with Guillain-Barré syndrome (GBS), focusing on those who required mechanical ventilation (MV).
  • A total of 208 GBS patients were analyzed, revealing that indicators of liver function, like reduced total protein and albumin levels, were linked to an increased need for MV and poorer recovery post-treatment.
  • Results showed that patients with impaired liver function not only had a higher risk of requiring MV but also faced challenges in walking independently and had increased mortality rates after 26 weeks.
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Objective: Although metabolic abnormalities are implicated in the etiology of neurodegenerative diseases, their role in the development of amyotrophic lateral sclerosis (ALS) remains a subject of controversy. We aimed to identify the association between metabolic syndrome (MetS) and the risk of ALS.

Methods: This study included 395,987 participants from the UK Biobank to investigate the relationship between MetS and ALS.

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The flying bat can detect the difference in Doppler frequency between its echolocation transmission signal and the echoes in its surroundings, enabling it to distinguish between various scenarios effectively. By examining the bio-sonar biomimetic model of a flying bat that uses echo Doppler information for environmental recognition, it may enhance the scene recognition capability of human ultrasound sonar during movement. The paper establishes a three-dimensional clutter model of the flying state of bat bio-sonar for bats emitting constant frequency signals.

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Background: Diabetic peripheral neuropathy (DPN) constitutes a debilitating complication associated with diabetes. Although, the past decade has seen rapid developments in understanding the complex etiology of DPN, there are no approved therapies that can halt the development of DPN, or target the damaged nerve. Therefore, clarifying the pathogenesis of DPN and finding effective treatment are the crucial issues for the clinical management of DPN.

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Diabetic peripheral neuropathy (DPN) is a pervasive and incapacitating sequela of diabetes, affecting a significant proportion of those diagnosed with the disease, yet an effective treatment remains elusive. Vitamins have been extensively studied, emerging as a promising target for diagnosing and treating various systemic diseases, but their role in DPN is not known. This review collates and synthesizes knowledge regarding the interplay between vitamins and DPN, drawing on bibliographies from prior studies and relevant articles, and stratifying the therapeutic strategies from prophylactic to interventional.

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Aims: Increasing numbers of reports link vitamin D deficiency to diabetic peripheral neuropathy (DPN), yet evidence regarding neurological deficits and electromyogram is scarce. The present multi-centre study sought to investigate these associations based on objective quantifications.

Materials And Methods: Information on DPN-related symptoms, signs, all diabetic microvascular complications, and nerve conduction abilities (quantified by nerve conduction amplitude and velocity, F-wave minimum latency (FML) of peripheral nerves) were collected from a derivation cohort of 1192 patients with type 2 diabetes (T2D).

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Background: Neuron Specific Enolase (NSE), a neuro-biochemical protein marker, may correlate with the prognosis of stroke patients. Moreover, hypertension is the most common comorbidities in patients with acute ischemic stroke (AIS), and the relationship between NSE levels and long-term functional outcomes in such an increasingly large population is unclear. The aim of the study was to investigate the relationships mentioned above and optimize the prediction models.

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Leukocytes are systematic inflammation indicators related to stroke prognosis and can exhibit large dynamic waves before and after recombinant tissue plasminogen activator (r-tPA) therapy. However, additional evidence is needed to determine the prognostic significance of various leukocytes including both static and dynamic data among patients who underwent r-tPA therapy. A total of 251 patients treated with r-tPA were included; their leukocyte data were collected at two time points, and patients were followed up for three months.

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Nowadays, the prognostic prediction of acute ischemic stroke (AIS) patients is still challenging because of the limited predictive properties of existing models. Blood-based biomarkers may provide additional information to the established prognostic factors. Markers of atherosclerosis have been identified as one of the most promising biomarkers for predicting prognosis, and inflammation, in turn, affects atherosclerosis.

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  • Diabetic peripheral neuropathy (DPN) is a common complication in those with type 2 diabetes, and the study aims to explore how low levels of triiodothyronine (T3) are linked to DPN in these patients.
  • A review of data from 928 type 2 diabetes patients showed that a significant number had DPN, and a higher prevalence of low T3 syndrome among those with DPN compared to those without.
  • The study concluded that low T3 syndrome is independently associated with both the occurrence and severity of DPN, potentially serving as an important predictor for risk assessment in type 2 diabetes patients.
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Stroke, classified as cardioembolism and non-cardioembolism (non-CE), entails a large socioeconomic burden on the elderly. The morbidity and mortality of non-CE are high, whereas studies concerning prognostic factors impacting function outcome remain underdeveloped and understudied. Liver function parameters are convenient approaches to predicting prognosis in cardiovascular diseases, but their clinical significance has not been well characterized in stroke, especially in non-CE.

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