$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
Recent advances in the function of lipids and their role in the onset and progression of neurological diseases open new research and development venues of new therapeutic targets and disease mechanism elucidation1. Documented differences in lipid composition in different brain regions, emphasized by modern molecular imaging techniques such as mass spectrometry imaging and advanced mass spectrometry profiling, shifts the paradigm of lipid investigation from whole brain toward functionally distinct and discrete brain regions. The fact that lipid composition varies in different brain regions prompts new conceptualization of both membrane lipid sensitivity and downstream lipid signaling in response to a brain insult or stimuli across the functionally distinct brain regions. Hence, lipid protocols require new developments to address the challenge of low tissue amounts for higher spatial resolution detection and quantification, and concurrently, analysis of multiple lipid components of cell membranes and signaling pathways. Also, determination of enzymes, lipid ligands, and receptors involved in the regulation of their levels and function is paramount to elucidate the signaling pathways affected in a neurological disease and guide new mechanistic investigations in a pathophysiological context.
In addition to the increased brain spatial resolution, there are two major difficulties challenging the development of new neurolipidomic approaches. First, the lipid signaling molecules are typically of very low abundance compared to membrane constitutive lipids. Second, the lipidome exhibits a high structural heterogeneity, difficult to dissect using a single analytical approach. Hence, extraction and analytical methods are tailored to different lipid categories and commonly performed in distinct tissue samples2. Shotgun lipidomic methods3 are excellent tools to rapidly reveal a broad profile of membrane lipids, while increased sensitivity and selectivity afforded by the targeted discovery and quantification mass spectrometric methods are capitalized upon for investigation of low abundant signaling lipids including: i) inflammatory lipids and ii) lipids involved in the modulation of neuronal activity, such as endocannabinoids (eCBs), amino acid-linked lipids, etc.4,5. To encompass lipid changes at both the cell membrane and signaling level occurring in brain regions of neurological disease models, typically the lipid extraction and analysis are carried out in distinct tissue samples, obtained from distinct animal batches or from different hemispheres, or by dissecting a larger tissue region into multiple pieces. When mRNA levels of enzyme receptors are also of interest, their investigation typically requires the procurement of a distinct tissue sample. For example, the investigation of membrane lipids, endogenous cannabinoids, and mRNA would require three different tissue samples, (e.g., two samples for the two lipid extraction methods-membrane lipids and signaling lipids- and subsequent two lipid analysis methods- and one sample for mRNA analysis). Investigation of inflammatory lipids and endogenous cannabinoids require two distinct tissue samples, extraction methods, and analysis methods, respectively. Another example is the investigation of mRNA and of any lipid category in a brain punch or laser microdissection sample which consequently requires two distinct animals to procure two samples per brain (sub)region. A substantial extent of variability and/or poor reproducibility of the results frequently occur in such cases, originating from biological variability and/or tissue heterogeneity. Guided by these practical limitations of multimolecular analysis, occurring particularly at high spatial resolution in the brain, a three-module neurolipidomics protocol was designed encompassing: 1) coextraction and co-analysis by LC/MRM of inflammatory lipids (e.g., eicosanoids (eiCs)) and lipids involved in modulation of neuronal activity, such as eCBs2; 2) co-extraction of phospholipids (PLs) and eCBs with subsequent multiscan LC/MRM and precursor/neutral loss scan analysis2; and 3) dual extraction of membrane (phospho)lipids and eCBs as well as mRNA, with subsequent LC/MRM and qPCR or RNA sequencing analysis6. Depending on the biological question to be addressed in a neurological disease and the brain region of interest, a combination of the first and the second protocol, or the first and the third protocol, can be applied on the same tissue specimen for tissues weighing around 4 mg. The first and third protocols can be independently applied for tissues around 2 mg. The second protocol can be applied for tissues weighing as little as 0.5 mg. Irrespective of the neurolipidomic protocol module selected, the tissue sampling and pre-analytical processing, the brain isolation and region dissection, as well as the procedure for sacrificing the animal model are standardized and identical for all three modules of the protocol. In our investigation of neurological diseases, peripheral organs that are relevant for the pathological consequences of the disease are always also collected and analyzed using these modular protocols. Additionally, blood is regularly sampled for plasma lipidomics to serve as a readout tool of neurological diseases with a view on prospective translational applications. The here presented modular lipidomics protocol is very versatile: scaleable to larger tissue amounts and readily applicable for virtually any tissue type and disease. For the application of the modular protocol (Figure 1) in neurological diseases, any standardized rodent model of onset and progression of neurological disorders, such as traumatic brain injury, Parkinson's disease, Alzheimer's disease, or epilepsy are amenable.
These protocols have been extensively applied to study changes in the tissue lipidome and/or transcriptome at the acute phase of epilepsy in the kainic acid (KA)-induced mouse model of epilepsy2,7, a model widely used in preclinical studies due to the resemblance to human temporal lobe epilepsy (TLE)8,9,10,11. Using these protocols, the therapeutic potential of drugs such as Palmitoylethanolamide (PEA)12,13 was assessed in the same mouse model of epilepsy. The study identified lipid and mRNA changes at high and low spatial resolution in the brain and periphery, at the time point of maximal acute seizure intensities (at 60 min postseizure induction), and upon subchronic and acute treatment with PEA at four different timepoints (20, 60, 120, and 180 min) post KA-seizure induction, a time-window covering the acute phase of epilepsy. Plasma, brains, and peripheral organs of untreated KA-injected mice, acute and subchronically PEA-treated mice, as well as vehicle and PEA-vehicle control mice, were collected at each time point12,13, and investigated with this molecular analysis. The molecular data were correlated with behavioral phenotypes obtained by seizure scoring, as well as with immunohistochemistry-derived data on neurodegenerative processes, in order to unravel the progression of the acute epilepsy phase and PEA's potential to alleviate it.