Background: Acute lung injury (ALI) is one of the major complications of severe sepsis. This study was conducted to investigate the levels of Th22 and Th17 cells in the peripheral blood septic patients with ALI and their clinical significance. Results: A total of 479 septic patients admitted between January 2013 to January 2018 were divided into non-ALI (n = 377) and ALI groups (n = 102) based on the presence or absence of ALI. The levels of Th22 and Th17 cells, interleukin 22 (IL-22), 6 (IL-6) and 17 (IL-17) were determined. Receiver operating characteristic curve (ROC) analysis was performed to assess the early diagnostic value of Th22 and Th17 cells to predict sepsis-induced ALI. The lung injury prediction score (LIPS), IL-6, IL-17, IL-22, and levels of Th17 and Th-22 cells were 9.13, 14.02 ng/L, 13.06 ng/L, 22.90 ng/L, 8.80% and 7.40%, respectively, in the ALI patients and were significantly higher in the ALI group than in non-ALI group (P < 0.05). Pearson correlation analysis showed that LIPS, IL-17, IL-22, Th17 cells and Th22 cells were significant factors affecting sepsis-induced ALI (P < 0.05). The correlation analysis showed that the levels of Th22 cells in the peripheral blood of septic patients with ALI were positively correlated with LIPS, IL-22 and the levels of Th17 cells (P < 0.05), and the levels of Th17 cells were positively correlated with LIPS and IL-17 (P < 0.01). Multivariate logistic regression analysis showed that the LIPS (OR = 1.130), IL-17 (OR = 1.982), IL-22 (OR =2.612) and levels of Th17 (OR = 2.211) and Th22 (OR =3.230) cells were independent risk factor for ALI. The area under the curve of Th22 cells was 0.844 with a cutoff value of 6.81% to predict ALI. The sensitivity and specificity for early diagnosis of sepsis-induced ALI by Th22 cells were 78.72% and 89.13% respectively, which were better but statistically similar as compared with Th17 cells (P > 0.05). Conclusions: The levels of Th22 and Th17 cells in peripheral blood are significantly increased in septic patients with induced ALI, and may be used for early diagnose of sepsis-induced ALI.