J

Jia Liu

Central South University

ORCID: 0000-0002-5357-2163

Publishes on Traumatic Brain Injury and Neurovascular Disturbances, Acute Ischemic Stroke Management, Optical Imaging and Spectroscopy Techniques. 179 papers and 2.3k citations.

179Publications
2.3kTotal Citations

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Top publicationsby citations

Transfer function analysis of dynamic cerebral autoregulation: A CARNet white paper 2022 update
Ronney B. Panerai, Patrice Brassard, Joel S. Burma et al.|Journal of Cerebral Blood Flow & Metabolism|2022
Cited by 155Open Access

Cerebral autoregulation (CA) refers to the control of cerebral tissue blood flow (CBF) in response to changes in perfusion pressure. Due to the challenges of measuring intracranial pressure, CA is often described as the relationship between mean arterial pressure (MAP) and CBF. Dynamic CA (dCA) can be assessed using multiple techniques, with transfer function analysis (TFA) being the most common. A 2016 white paper by members of an international Cerebrovascular Research Network (CARNet) that is focused on CA strove to improve TFA standardization by way of introducing data acquisition, analysis, and reporting guidelines. Since then, additional evidence has allowed for the improvement and refinement of the original recommendations, as well as for the inclusion of new guidelines to reflect recent advances in the field. This second edition of the white paper contains more robust, evidence-based recommendations, which have been expanded to address current streams of inquiry, including optimizing MAP variability, acquiring CBF estimates from alternative methods, estimating alternative dCA metrics, and incorporating dCA quantification into clinical trials. Implementation of these new and revised recommendations is important to improve the reliability and reproducibility of dCA studies, and to facilitate inter-institutional collaboration and the comparison of results between studies.

Impaired cerebral autoregulation: measurement and application to stroke
Li Xiong, Xiuyun Liu, Ty Shang et al.|Journal of Neurology Neurosurgery & Psychiatry|2017
Cited by 147

Cerebral autoregulation (CA) is a protective mechanism that maintains cerebral blood flow at a relatively constant level despite fluctuations of cerebral perfusion pressure or arterial blood pressure. It is a universal physiological mechanism that may involve myogenic, neural control as well as metabolic regulations of cerebral vasculature in response to changes in pressure or cerebral blood flow. Traditionally, CA has been represented by a sigmoid curve with a wide plateau between about 50 mm Hg and 170 mm Hg of steady-state changes in mean arterial pressure, defined as static CA. With the advent of transcranial Doppler, measurement of cerebral blood flow in response to transient changes in arterial pressure has been used to assess dynamic CA. However, a gold standard for measuring CA is not currently available. Stroke has been the leading cause of long-term adult disability throughout the world. A better understanding of CA and its response to pathological derangements can help assess the severity of stroke, guide management decisions, assess response to interventions and provide prognostic information. The objective of this review is to provide a comprehensive insight about physiology of autoregulation, measurement methodologies and clinical applications in stroke to help build a consensus for what should be included in an internationally agreed protocol for CA testing and monitoring, and to promote its translation into clinical bedside practice for stroke management.

Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese
Jia Liu, Lap Ah Tse, Zhiguang Liu et al.|Journal of the American Heart Association|2019
Cited by 115Open Access

Background The predictive value of adiposity indices and the newly developed index for cardiometabolic risk factors and cardiovascular diseases (CVDs) remains unclear in the Chinese population. This study aimed to compare the predictive value of A Body Shape Index with other 5 conventional obesity-related anthropometric indices (body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio) in Chinese population. Methods and Results A total of 44 048 participants in the study were derived from the baseline data of the PURE-China (Prospective Urban and Rural Epidemiology) study in China. All participants' anthropometric parameters, CVDs, and risk factors (dyslipidemia, abnormal blood pressure, and hyperglycemia) were collected by standard procedures. Multivariable logistic regression models and receiver operator characteristic curve analysis were used to evaluate the predictive values of obesity-related anthropometric indices to the cardiometabolic risk factors and CVDs. A positive association was observed between each anthropometric index and cardiometabolic risk factors and CVDs in all models (P<0.001). Compared with other anthropometric indices (body mass index, waist circumference, hip circumference, waist-to-hip ratio, and A Body Shape Index), waist-to-height ratio had significantly higher areas under the curve (AUCs) for predicting dyslipidemia (AUCs: 0.646, sensitivity: 65%, specificity: 44%), hyperglycemia (AUCs: 0.595, sensitivity: 60%, specificity: 45%), and CVDs (AUCs: 0.619, sensitivity: 59%, specificity: 41%). Waist circumference showed the best prediction for abnormal blood pressure (AUCs: 0.671, sensitivity: 66%, specificity: 40%) compared with other anthropometric indices. However, the new body shape index did not show a better prediction to either cardiometabolic risk factors or CVDs than that of any other traditional obesity-related indices. Conclusions Waist-to-height ratio appeared to be the best indicator for dyslipidemia, hyperglycemia, and CVDs, while waist circumference had a better prediction for abnormal blood pressure.

Temporal Course of Dynamic Cerebral Autoregulation in Patients With Intracerebral Hemorrhage
Hongyin Ma, Zhen‐Ni Guo, Jia Liu et al.|Stroke|2016
Cited by 104Open Access

BACKGROUND AND PURPOSE: Cerebral autoregulation is crucial in patients with intracerebral hemorrhage. Dynamic cerebral autoregulation is probably altered in acute intracerebral hemorrhage; however, the temporal course of dynamic cerebral autoregulation and its correlation with clinical factors and outcomes are poorly understood. METHODS: Forty-three acute supratentorial intracerebral hemorrhage patients (53.7±10.0 years old, 30 men) were enrolled for serial measurements performed on days 1 to 2, 4 to 6, 10 to 12, and 30 days after ictus. Noninvasive continuous cerebral blood flow velocity and arterial blood pressure were recorded simultaneously using transcranial Doppler and a servo-controlled plethysmograph, respectively. Transfer function analysis was used to derive the autoregulatory parameters, including phase difference (PD), gain, and the rate of recovery of cerebral blood flow velocity. Results were compared with healthy controls and correlated with clinical factors and the 90-day outcome. RESULTS: PD did not differ between affected and unaffected hemispheres over time. A significant lower PD (indicating dynamic cerebral autoregulation impaired) was found in bilateral hemispheres on days 1 to 2, 4 to 6, and 10 to 12, followed by later recovery on day 30. Lower bilateral PD on days 1 to 2 was associated with poorer Glasgow Coma Scale score at that time. Lower affected-side PD on days 4 to 6 was an independent predictive value for a poorer modified Rankin Scale at 90 days. CONCLUSIONS: In patients with supratentorial intracerebral hemorrhage, dynamic cerebral autoregulation is bilaterally impaired lasting at least 10 to 12 days and recovers within a month. Individual PD value is associated with clinical status at acute stage and affected-side PD on days 4 to 6 can be an independent predictor for clinical outcome.

Ferritin light chain deficiency-induced ferroptosis is involved in preeclampsia pathophysiology by disturbing uterine spiral artery remodelling
Xiaofeng Yang, Xiaofeng Yang, Yuzhen Ding et al.|Redox Biology|2022
Cited by 80Open Access

The proteomic analysis from samples of patients with preeclampsia (PE) displayed a low level of ferritin light chains (FTL), but we do not know what the significance of reduced FTL in PE pathophysiology is. To address this question, we first demonstrated that FTL was expressed in first- and third-trimester cytotrophoblasts, including extravillous trophoblasts (EVTs), of the human placenta. Furthermore, a pregnant rat model of FTL knockdown was successfully established by intravenously injecting adenoviruses expressing shRNA targeting FTL. In pregnant rats with downregulated FTL, we observed PE-like phenotypes and impaired spiral arterial remodelling, implying a causal relationship between FTL downregulation and PE. Blocking ferroptosis with ferrostatin-1 (Fer-1) significantly rescued the above PE-like phenotypes in pregnant rats with FTL knockdown. Furthermore, using trophoblast cell line and chorionic villous explant culture assays, we showed that FTL downregulation induced cell death, especially ferroptosis, resulting in defective uterine spiral artery remodelling. Eventually, this conclusion from the animal model was verified in PE patients' placental tissues. Taken together, this study revealed for the first time that FTL reduction during pregnancy triggered ferroptosis and then caused defective uterine spiral artery remodelling, thereby leading to PE.