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Macrophage migration inhibitory factor (MIF) is pleiotropic cytokine that has multiple effects in many inflammatory and immune diseases. This study reveals a potential role of MIF in acute kidney injury (AKI) in patients and in kidney ischemic reperfusion injury (IRI) mouse model in MIF wild‐type (WT) and MIF knockout (KO) mice. Clinically, plasma and urinary MIF levels were largely elevated at the onset of AKI, declined to normal levels when AKI was resolved and correlated tightly with serum creatinine independent of disease causes. Experimentally, MIF levels in plasma and urine were rapidly elevated after IRI‐AKI and associated with the elevation of serum creatinine and the severity of tubular necrosis, which were suppressed in MIF KO mice. It was possible that MIF may mediate AKI via CD74/TLR4‐NF‐κB signalling as mice lacking MIF were protected from AKI by largely suppressing CD74/TLR‐4‐NF‐κB associated renal inflammation, including the expression of MCP‐1, TNF‐α, IL‐1β, IL‐6, iNOS, CXCL15(IL‐8 in human) and infiltration of macrophages, neutrophil, and T cells. In conclusion, our study suggests that MIF may be pathogenic in AKI and levels of plasma and urinary MIF may correlate with the progression and regression of AKI.

Although algal toxicity is species dependent, it is not clear if compounds share the same modes of action (MOAs) among algal species. Investigations on the algal toxicity to six species show that Pseudokirchneriella subcapitata is the most sensitive species and its toxicity is significantly related to Dunaliella tertiolecta toxicity, but relates poorly to other algal species. The excess toxicity calculated from a baseline model shows that most of the compounds share the same MOAs among different species, but some share different MOAs. Anilides show excess toxicity to P. subcapitata, but not to other species; they are predicted as reactive compounds to P. subcapitata, but narcotics to other algal species. On the other hand, although hydroxyquinones and phenylureas show greater toxicity to P. subcapitata than to any other algal species, they are predicted as reactive compounds to all algal species because of excess toxicity to all species. Development of any quantitative structure–activity relationship model should be based on a single algal species because algal toxicity is species dependent. Several outliers have been observed, such as acids and highly hydrophobic chemicals with long chains. Their toxicities are over-estimated from linear baseline models because of over-estimated logKOW for ionized acids and obstruction of algal cell membranes for long chain compounds.