Phasor approach to autofluorescence lifetime imaging FLIM can be a quantitative biomarker of chronic renal parenchymal injury.
Phasor approach to autofluorescence lifetime imaging FLIM can be a quantitative biomarker of chronic renal parenchymal injury.
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DOI：
10.1016/j.kint.2020.02.019
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发表时间：
2020-11
影响因子：
19.6
通讯作者：
Gratton E
中科院分区：
文献类型：
--
作者：
Ranjit S;Henriksen K;Dvornikov A;Delsante M;Rosenberg A;Levi M;Gratton E
糖尿病肾病仍然是慢性肾病的主要原因，常常进展至终末期肾病。除了包括系膜扩张、足细胞损伤和肾小球硬化等特征明确的肾小球改变外，肾小管间质纤维化也是糖尿病肾损伤的重要组成部分。同样，肾小管间质纤维化是任何慢性肾损伤的关键组成部分。因此，灵敏、定量地识别肾小管间质纤维化对于评估肾脏疾病的长期预后至关重要。在这里，我们采用相量方法进行荧光寿命成像（通常称为 FLIM），以了解组织异质性并计算糖尿病肾病引起的组织自发荧光寿命特征的变化。对糖尿病肾病患者的速冻活检材料的低温切片进行 FLIM 成像。随着疾病严重程度的增加，相寿命（τphase）总体增加。多分量相量分析显示了不同疾病状态之间的显着差异。因此，不涉及任何染色的相量自发荧光寿命成像可用于了解和评估肾脏疾病的严重程度。
Diabetic kidney disease continues to be the leading cause of chronic kidney disease, often advancing to end stage kidney disease. In addition to the well characterized glomerular alterations including mesangial expansion, podocyte injury, and glomerulosclerosis, tubulointerstitial fibrosis is also an important component of diabetic kidney injury. Similarly, tubulointerstitial fibrosis is a critical component of any chronic kidney injury. Therefore, sensitive and quantitative identification of tubulointerstitial fibrosis is critical for the assessment of long-term prognosis of kidney disease. Here, we employed phasor approach to fluorescence lifetime imaging, commonly known as FLIM, to understand tissue heterogeneity and calculate changes in the tissue autofluorescence lifetime signatures due to diabetic kidney disease. FLIM imaging was performed on cryostat sections of snap-frozen biopsy material of patients with diabetic nephropathy. There was an overall increase in phase lifetime (τphase) with increased disease severity. Multicomponent phasor analysis shows the distinctive differences between the different disease states. Thus, phasor autofluorescence lifetime imaging, which does not involve any staining, can be used to understand and evaluate the severity of kidney disease.
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影响因子：
3.2
作者：
Farris AB;Colvin RB
通讯作者：
Colvin RB
影响因子：
2.2
作者：
Heikal AA
通讯作者：
Heikal AA
影响因子：
19.6
作者：
Ranjit S;Dobrinskikh E;Montford J;Dvornikov A;Lehman A;Orlicky DJ;Nemenoff R;Gratton E;Levi M;Furgeson S
通讯作者：
Furgeson S
DOI：
10.1073/pnas.0708425104
发表时间：
2007-12-04
影响因子：
11.1
作者：
Skala, Melissa C.;Riching, Kristin M.;Ramanujam, Nirmala
通讯作者：
Ramanujam, Nirmala
影响因子：
15
作者：
SCOTT, TG;SPENCER, RD;WEBER, G
通讯作者：
WEBER, G