You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:

- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic methods or medication for COVID-19.
- Prevention: The content covers measures to prevent the spread of COVID-19.
- Mechanism: The paragraph explains the biological mechanisms of the virus.
- Case Report: The content is a report of a COVID-19 case.
- Transmission: The paragraph discusses how COVID-19 is transmitted.
- Diagnosis: The content is about diagnosing COVID-19 in individuals.

Your classification should be provided as an element within a JSON array. The array should be formatted with topics enclosed in double quotes and separated by commas, following the JSON format, for example: ["Topic1", "Topic2", ...]. Include all applicable topics within the array. Your output should be a valid JSON array, and no additional text should be included in your response.

Article:

The kidney tropism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been well-validated clinically and often leads to various forms of renal damage in coronavirus disease-2019 (COVID-19) patients. However, the underlying mechanisms and diagnostic approaches remain to be determined. We interrogated the expression of virus-related host factors in single-cell RNA sequencing (scRNA-seq) datasets of normal human kidneys and kidneys with pre-existing diseases and validated the results with urinary proteomics of COVID-19 patients and healthy individuals. We also assessed the effects of genetic variants on kidney susceptibility using expression quantitative trait loci (eQTLs) databases. We identified a subtype of tubular cells, which we named PT-3 cells, as being vulnerable to SARS-CoV-2 infections in the kidneys. PT-3 cells were enriched in viral entry factors and replication and assembly machinery but lacked antiviral restriction factors. Immunohistochemistry confirmed positive staining of PT-3 cell marker SCL36A2 on kidney sections from COVID-19 patients. Urinary proteomic analyses of COVID-19 patients revealed that markers of PT-3 cells were significantly increased, along with elevated viral receptor angiotensin-converting enzyme 2. We further found that the proportion of PT-3 cells increased in diabetic nephropathy but decreased in kidney allografts and lupus nephropathy, suggesting that kidney susceptibility varied among these diseases. We finally identified several eQTLs that regulate the expression of host factors in kidney cells. PT-3 cells may represent a key determinant for the kidney tropism of SARS-CoV-2, and detection of PT-3 cells may be used to assess the risk of renal infection during COVID-19.
["Mechanism", "Diagnosis"]