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Xiaobo Lu

Researcher at First Affiliated Hospital of Xinjiang Medical University

Publications -  6
Citations -  202

Xiaobo Lu is an academic researcher from First Affiliated Hospital of Xinjiang Medical University. The author has contributed to research in topics: T cell & Brucellosis. The author has an hindex of 4, co-authored 6 publications receiving 124 citations.

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Journal ArticleDOI

A Systematic Review and Meta-Analysis of Epidemiology and Clinical Manifestations of Human Brucellosis in China

TL;DR: The main clinical manifestations were fever, fatigue, arthralgia, and muscle pain, and the common complications of brucellosis were hepatitis, followed by osteoarthritis, respiratory diseases, cardiovascular diseases, central nervous system dysfunction, hemophagocytic syndrome, and orchitis/epididymitis in male.
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Bone mesenchymal stem cell transplantation via four routes for the treatment of acute liver failure in rats.

TL;DR: Liver function in the rats with ALF was improved following BMSC transplantation via 3 endovascular implantation methods (through the hepatic artery, portal vein and vena caudalis) and the selection of blood vessel in the implantation pathway does not affect the transplantation outcome.
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Meta-Analysis of the Changes of Peripheral Blood T Cell Subsets in Patients with Brucellosis.

TL;DR: There is immunologic dysfunction of T lymphocyte in patients with human brucellosis, the CD4+ and CD8+ T cells might be the important factors affecting the progress of bru cellosis.
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Brucella-induced thrombocytopenia: a retrospective study of 16 patients.

TL;DR: Classical brucellosis therapy is adequate for patients with a platelet count > 20,000/mm3 and the five-drug regimen of doxycycline, rifampin, corticosteroids, and platelet transfusions is recommended for patients when the Platelet count is < 10,000 /mm3.
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Predicting the number of visceral leishmaniasis cases in Kashgar, Xinjiang, China using the ARIMA-EGARCH model

TL;DR: The combined model has been determined as the best prediction model with the root-mean-square error (RMSE) of 7.23% in the validation phase, which means that this model has high validity and rationality and can be used for short-term prediction of visceral leishmaniasis and could be applied to the prevention and control of the disease.