Marker for predicting range and depth of kidney infection of polyoma virus and application thereof

Abstract

The invention discloses a marker for predicting the range and depth of kidney infection of polyoma virus and application thereof. Experiments verify that the combined detection of 58K Golgi protein and polyoma virus specific antigen has important application value in predicting the range and depth of transplanted kidney infection and prognosis of kidney transplantation patients, and is helpful forrisk stratification of infection and adoption of appropriate treatment strategies. The sample adopted by the detection strategy of the invention is urine sediment cells, which can be realized by non-invasive means, and the operation is simple, and most of the processes can be automated and almost can be carried out in each transplantation center.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and specifically relates to markers for predicting polyomavirus intrarenal infection and judging the scope and depth of infection and applications thereof. Background technique [0002] Polyomavirus infection and polyomavirus-associated nephropathy (PyVAN) is one of the serious complications leading to allograft renal insufficiency and graft loss. Among kidney transplant recipients, the incidence of PyVAN fluctuates between 1% and 10%, resulting in up to 50% loss of allografted kidneys. According to the Banff classification standard, PyVAN is divided into A, B and C stages. The 2-year survival rates of stage A, B and C transplanted kidneys were 90%, 70% and 50% respectively. At present, there is no clear and effective antiviral drug, so early diagnosis of PyVAN is very important. [0003] In addition, according to previous studies, during the development of PyVAN, polyoma virus (PyV) usual...

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Problems solved by technology

However, needle biopsy is an invasive test with limitations including a high risk of bleeding and cannot be repeated frequently

Quantitative Plasma PCR detection of PyV-DNA is an indicator commonly used in clinical detection of PyV infection. Its negative predictive value (NPV) for predicting PyVAN is >99%, but the positive predictive value (PPV) is only 40%, which is relatively low and unstable Nor can the depth and extent of PyV infection in transplanted kidneys be predicted

[0005] Although it has been reported that the quantitative detection of PyV-Haufen in urine can predict the degree of injury and pathological stage of PyVAN, the high cost and limited availability of electron microscopy limit its potential for rou

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