Individual mice have a unique odor, or odortype, that facilitates individual recognition. Odortypes, like other phenotypes, can be influenced by genetic and environmental variation. The genetic influence derives in part from genes of the major histocompatibility complex (MHC). A major environmental influence is diet, which could obscure the genetic contribution to odortype. Because odortype stability is a prerequisite for individual recognition under normal behavioral conditions, we investigated whether MHC-determined urinary odortypes of inbred mice can be identified in the face of large diet-induced variation. Mice trained to discriminate urines from panels of mice that differed both in diet and MHC type found the diet odor more salient in generalization trials. Nevertheless, when mice were trained to discriminate mice with only MHC differences (but on the same diet), they recognized the MHC difference when tested with urines from mice on a different diet. This indicates that MHC odor profiles remain despite large dietary variation. Chemical analyses of urinary volatile organic compounds (VOCs) extracted by solid phase microextraction (SPME) and analyzed by gas chromatography/mass spectrometry (GC/MS) are consistent with this inference. Although diet influenced VOC variation more than MHC, with algorithmic training (supervised classification) MHC types could be accurately discriminated across different diets. Thus, although there are clear diet effects on urinary volatile profiles, they do not obscure MHC effects.

Hundreds of volatile organic compounds (VOCs) are released from human body fluids. Some of them are produced by endogenous metabolic processes in and on the body, and others are derived from the environment. Expressions of some endogenous VOCs can be affected by pathophysiological changes, and several disease-specific volatile biomarkers have been identified and used as diagnostic aids. Monitoring volatile disease markers is attractive since the procedure can be performed in a noninvasive manner with little or no exposure to biohazardous body fluids. Although many VOCs have been claimed as potential biomarkers, only a few compounds have been consistently demonstrated and approved for clinical applications. This is mainly because (1) many of the putative markers are present in the environment as well as in the body and their levels in the environment are often higher than those in the body, (2) there are a large individual variation in the concentrations of biomarkers within diseased and/or healthy subjects, and (3) the origin and biosynthetic pathway of the claimed biomarkers have been frequently neglected. Unfortunately, these aspects have often been ignored in many studies. Here, we review a number of publications that have identified volatile disease biomarkers in breath, argue that many of these have not demonstrated to actually underlie the differences in volatile profiles between diseased patients and healthy subjects, speculate on the reasons for this lack of success, and suggest potential approaches that may provide a better chance of identifying disease biomarkers.

Mice can discriminate between chemosignals of individuals based solely on genetic differences confined to the major histocompatibility complex (MHC). Two different sets of compounds have been suggested: volatile compounds and non-volatile peptides. Here, we focus on volatiles and review a number of publications that have identified MHC-regulated compounds in inbred laboratory mice. Surprisingly, there is little agreement among different studies as to the identity of these compounds. One recent approach to specifying MHC-regulated compounds is to study volatile urinary profiles in mouse strains with varying MHC types, genetic backgrounds and different diets. An unexpected finding from these studies is that the concentrations of numerous compounds are influenced by interactions among these variables. As a result, only a few compounds can be identified that are consistently regulated by MHC variation alone. Nevertheless, since trained animals are readily able to discriminate the MHC differences, it is apparent that chemical studies are somehow missing important information underlying mouse recognition of MHC odourtypes. To make progress in this area, we propose a focus on the search for behaviourally relevant odourants rather than a random search for volatiles that are regulated by MHC variation. Furthermore, there is a need to consider a ‘combinatorial odour recognition’ code whereby patterns of volatile metabolites (the basis for odours) specify MHC odourtypes.