Imaging of insulin factory: Is it just imagination or approaching reality?
Imaging of insulin factory: Is it just imagination or approaching reality?
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DOI:
10.1111/j.2040-1124.2012.00236.x
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发表时间:
2012-10-18
影响因子:
3.2
通讯作者:
Yagihashi S
中科院分区:
文献类型:
--
作者:
Yagihashi S
The determination of clinical staging and the severity of disease are essential to the management and prediction of the prognosis of a patient. Insulin secretory capacity and b-cell mass are both considered to be indicators of severity and staging of either in type 1 or type 2 diabetes. Rapid destruction of b-cells by immune processes is a key pathogenetic process in type 1 diabetes. At onset of the disease, nearly all pancreatic b-cells are destroyed in type 1 diabetes. More recently, also in type2 diabetes, slow but progressive decline of b-cell mass often accompanied by amyloid deposition was found to be a pathological hallmark. Thus, we have to make a decision about which stage of diabetes the patient stands in when the diagnosis is made. To this end, we need to know to what extent the islets are damaged in a given diabetic patient to determine the best choice of treatment. We are also curious to know whether the treatment can stop the destruction of b-cells or if it promotes their replication. Furthermore, in type 1 diabetic patients, although islet transplantation is a final choice of treatment modalities, it is crucial to follow the survival of the implanted cells to know whether islet transplantation has been successful or not. As such, quantitation of b-cell mass in diabetic patients seems to be a prime subject of research and investigators have made efforts to explore the blood biomarkers to predict the approximate value of b-cell mass; fasting hyperglycemia, glycated hemoglobin concentrations, C-peptide, insulinogenic index or homeostasis model assessment of b-cell function (HOMA-b) have been explored as well. These indices are found to be incomplete, however, for the reflection of actual b-cell mass. Alternatively, the ultimate goal might be direct visualization of b-cells by body imaging. The major problem of the imaging of the islet is that its volume is too small. The total volume might reach only 1~ 2 g (cc) in approximately 100g pancreas (only 1–2% of the pancreas). The size of each islet (50~ 500 lm) to make an image is also too small. We frequently encounter numerous small islets composed of just a few endocrine cells. In addition, they distribute widely in the whole pancreas with low contrast difference from the surrounding tissues. The islet composed of heterogeneous cells yields an inhomogeneous image, not much is discriminated from the intensities of the exocrine pancreas, which makes it difficult to identify the specificity of the tissues. Such anatomical characteristics inevitably require augmentation of the islet image in contrast to background parenchyma. Although optical methods using laser scanning microscopy showed some promise for the visualization of live b-cells in animal models, it was not feasible to apply to humans because of its invasiveness and limited tissue penetration of light1. For the detection of 3-D architecture of islets, application of the imaging to positron emission tomography (PET) scans or magnetic resonance imaging (MRI) is more realistic because of non-invasiveness. High-resolution PET and MRI scanners have been developed in the past decade, and the background pathology of the pancreas in diabetic patients has also been established. Because of the high sensitivity of clinical imaging modalities, PET scan was preliminarily applied to humans, but the results were disappointing. As the spatial resolution of PET scan is fairly limited, application of MRI is proposed to be more suitable for the imaging of native islets of the pancreas located in deep positions of the body 1.Introduction of MRI imaging of the transplanted islets in vivo in animals showed promising images, providing us with an expectation for the detection of native …
影响因子:
8.2
作者:
Andralojc, K.;Srinivas, M.;Brom, M.;Joosten, L.;de Vries, I. J. M.;Eizirik, D. L.;Boerman, O. C.;Meda, P.;Gotthardt, M.
通讯作者:
Gotthardt, M.
影响因子:
5.8
作者:
Schneider, S.
通讯作者:
Schneider, S.
影响因子:
7.7
作者:
Lamprianou, Smaragda;Immonen, Riikka;Meda, Paolo
通讯作者:
Meda, Paolo