Objective To study on the differences of biological samples between wind-heat invading lung syndrome and non wind-heat invading lung syndrome of diseases in respiratory system. Methods A multi-center

large sample

prospective research method was launched. We used syndrome differentiation to diagnose patients with wind-heat invading lung syndrome（ 885 cases） and non wind-heat invading lung syndrome（ 251 cases） out of 1 136 patient who was admitted as upper respiratory tract infection or pneumonia

then took blood samples to detect interleukin 1β（ IL-1β）

interleukin 4（ IL-4）

interleukin 6（ IL-6）

interleukin 8（ IL-8）

cyclic adenosine monophosphate（ c AMP）

macrophage inflammatory protein 1β（ MIP-1β）

prostaglandin E2（ PGE2）

tumor necrosis factorα（ TNF-α）. Then propensity scoring was applied to balance confounding factors in these two groups and the method of propensity score weighted Logistic regression with adjusted covariate was used to determine whether wind-heat invading lung syndrome had an impact on each test result. Results Comparing wind-heat invading lung syndrome with non wind-heat invading lung syndrome in upper respiratory tract infection and pneumonia

IL-1β

IL-4

IL-6

IL-8

c AMP

MIP-1β

PGE2

and TNF-α in blood serum were notedly increased and the differences showed statistical significance（ P < 0. 01）. With statistic method of propensity score weighted with adjusted covariate adopted to control confounding factors

results suggested that wind-heat invading lung syndrome had a great impact on IL-1β、IL-4、IL-6、IL-8、c AMP、MIP-1β、PGE2、TNF-α

which had statistical significance（ P < 0. 05）. Conclusion On early stage of respiratory system disease

we find certain differences of patients’ biological sample when comparing windheat invading lung syndrome with non wind-heat invading lung syndrome.