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CLINICA CHIMICA ACTA · 2023 · IF 5

Prognostic value of plasma 7-ketocholesterol in sepsis

Yueyuan Zhang,Sha Xu,Jianxin Xu,Fuchao Xu,Geng Lu,Jiawei Zhou,Shuangshuang Gu,Jun Wang

Background Early evaluation of the severity of sepsis and estimation of its prognosis remains one of the main challenges in current therapeutic strategies. This study aimed to evaluate the prognostic value of plasma 7-ketocholesterol (7-KC) in sepsis. Methods We retrospectively measured by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) the plasma 7-KC concentration in 176 patients with sepsis and 90 healthy volunteers. A multivariate Cox proportional hazard model was introduced to identify independent factors, including plasma 7-KC and clinical features, for the 28-day mortality of sepsis, and a nomogram for predicting the 28-day mortality of sepsis was established. Decision curve analysis (DCA) was performed to assess the prediction model of death risk of sepsis. Results The area under the curve (AUC) of plasma 7-KC in diagnosing sepsis was 0.899 (95% CI = 0.862–0.935, P < 0.001), while it was 0.830 (95% CI = 0.764–0.894, P < 0.001) in diagnosing septic shock. The AUCs of plasma 7-KC in predicting the survival of sepsis patients in the training cohort and the test cohort were 0.770 (95% CI = 0.692–0.848, P < 0.05) and 0.869 (95% CI = 0.763–0.974, P < 0.05), respectively. In addition, high plasma 7-KC expression predicts poor prognosis in sepsis. Then, 7-KC and platelet count were identified as the two factors with significant differences by a multivariate Cox proportional hazard model, and the 28-day mortality probability ranged from 0.002 to 0.985 and was assessed using a nomogram. DCA results revealed that the combination of plasma 7-KC and platelet count showed the best prognostic efficiency of the risk threshold compared to a single factor in both the training cohort and test cohort. Conclusions Collectively, the elevated plasma 7-KC level is an indicator of sepsis and was identified as a prognostic indicator for sepsis patients, providing a landscape for predicting survival in early sepsis with potential clinical utility.

CAS / MDL: 566-28-9
研究领域: 临床医学 · 生物化学 · 重症医学
✓ 已验证 产品关联 DOI PubMed 高影响因子
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Nature Biomedical Engineering · 2019 ·Vol. 4 ·期 2 ·159-171 · IF 17.135

Functionalized helical fibre bundles of carbon nanotubes as electrochemical sensors for long-term in vivo monitoring of multiple disease biomarkers

Wang Liyuan,Xie Songlin,Wang Zhiyuan,Liu Fei,Yang Yifan,Tang Chengqiang,Wu Xiaoying,Liu Peng,Li Yongjing,Saiyin Hexige,Zheng Shuang,Sun Xuemei,Xu Fan,Yu Hongbo,Peng Huisheng

Mechanical mismatches between implanted electronics and biological tissues can lead to inaccurate readings and long-term tissue damage. Here, we show that functionalized multi-walled carbon nanotubes twisted into helical fibre bundles that mimic the hierarchical structure of muscle can monitor multiple disease biomarkers in vivo. The flexible fibre bundles are injectable, have a low bending stiffness and display ultralow stress under compression. As proof-of-concept evidence of the sensing capabilities of these fibre bundles, we show that the fibre bundles enable the spatially resolved and real-time monitoring of H 2 O 2 when implanted in tumours in mice, and that they can be integrated with a wireless transmission system on an adhesive skin patch to monitor calcium ions and glucose in the venous blood of cats for 28 d. The versatility of the helical fibre bundles as chemically functionalized electrochemical sensors makes them suitable for multiple sensing applications in biomedicine and healthcare.

研究领域: 生物医学工程 · 材料科学 · 纳米技术 · 电化学 · 生物相容性 · 体内传感
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