Abstract Background Long non-coding RNAs (lncRNAs) can perform tasks of key relevance in fat cells, contributing, when defective, to the burden of obesity and its sequelae. Here, scrutiny of adipose tissue transcriptomes before and after bariatric surgery ([71]GSE53378) granted identification of 496 lncRNAs linked to the obese phenotype. Only expression of linc-GALNTL6-4 displayed an average recovery over 2-fold and FDR-adjusted p-value <0.0001 after weight loss. The aim of the present study was to investigate the impact on adipocyte function and potential clinical value of impaired adipose linc-GALNTL6-4 in obese subjects. Methods We employed transcriptomic analysis of public dataset [72]GSE199063, and cross validations in two large transversal cohorts to report evidence of a previously unknown association of adipose linc-GALNTL6-4 with obesity. We then performed functional analyses in human adipocyte cultures, genome-wide transcriptomics, and untargeted lipidomics in cell models of loss and gain of function to explore the molecular implications of its associations with obesity and weight loss. Results The expression of linc-GALNTL6-4 in human adipose tissue is adipocyte-specific and co-segregates with obesity, being normalized upon weight loss. This co-segregation is demonstrated in two longitudinal weight loss studies and two cross-sectional samples. While compromised expression of linc-GALNTL6-4 in obese subjects is primarily due to the inflammatory component in the context of obesity, adipogenesis requires the transcriptional upregulation of linc-GALNTL6-4, the expression of which reaches an apex in terminally differentiated adipocytes. Functionally, we demonstrated that the knockdown of linc-GALNTL6-4 impairs adipogenesis, induces alterations in the lipidome, and leads to the downregulation of genes related to cell cycle, while propelling in adipocytes inflammation, impaired fatty acid metabolism, and altered gene expression patterns, including that of apolipoprotein C1 (APOC1). Conversely, the genetic gain of linc-GALNTL6-4 ameliorated differentiation and adipocyte phenotype, putatively by constraining APOC1, also contributing to the metabolism of triglycerides in adipose. Conclusions Current data unveil the unforeseen connection of adipocyte-specific linc-GALNTL6-4 as a modulator of lipid homeostasis challenged by excessive body weight and meta-inflammation. Keywords: linc-GALNTL6-4, Adipose tissue, Adipocytes, Triglycerides, Obesity Graphical abstract [73]Image 1 [74]Open in a new tab Highlights * • The non-conserved expression of linc-GALNTL6-4 in adipose tissue is adipocyte-specific and opposite to obesity. * • Adipogenesis requires the transcriptional regulation of linc-GALNTL6-4, which reaches an apex in differentiated fat cells. * • Impaired adipocyte-specific linc-GALNTL6-4 levels are mainly due to the inflammatory state in the context of obesity. * • The loss of linc-GALNTL6-4 in adipocytes displays altered lipidomes and the downregulation of genes related to cell cycle. * • While propelling inflammation, defective linc-GALNTL6-4 may impair FA metabolism and the expression of APOC1. * • In engineered adipocytes, increased linc-GALNTL6-4 compels changes related to FA sensing and an improved lipid landscape. 1. Introduction During the last few decades, second-generation sequencing has revealed that the main body of the human genome is transcribed into molecules of ribonucleic acid (RNA) that do not code for proteins [[75]1,[76]2]. Among these, ∼27% are long non-coding (lnc)RNAs with sequences scarcely conserved during evolution [[77]3] and mostly expressed in a tissue-specific manner [[78][4], [79][5], [80][6]]. Accounting for over 68% of bulk human transcriptomes [[81]7], the widespread activity of lncRNAs hinges on their interaction with DNA, RNA and/or proteins [[82]8]. Through these interactions, lncRNAs have emerged as scaffold components of nuclear architecture [[83]9], regulators of chromosome conformation and transcription factor recruitment [[84]10], and modifiers of messenger (m)RNA synthesis and stability, as well as its final translation into functional proteins [[85]11,[86]12]. Located within the nucleus, or contained in the cytoplasm of a large variety of mammalian cells, lncRNAs perform a broad range of functions in differentiation and development [[87]13], also contributing to the burden of disease [[88]14,[89]15]. On this subject, the most recent research has shown how important the epigenetic regulation exercised by lncRNAs can be for adipocyte biology and function [[90]16], also participating in the pathophysiology of obesity [[91]17,[92]18]. As a result, it is now recognized that deranged lncRNA expression patterns in adipose tissue may engage a range of metabolic disturbances associated with an obese phenotype [[93]19]. However, identification and functional evaluation of specific adipose-derived lncRNAs related to obesity and its clinical sequelae are still far from complete. The current study stems from the analysis of bulk transcriptomes of human adipose tissue before and after weight loss, which allowed the identification of linc-GALNTL6-4, a novel adipocyte-specific lncRNA only found in humans and showing expression levels steeply increased upon the loss of fat. Scrutiny of additional fat samples further confirmed that this unique lncRNA opposes body weight, is solely present in the adipocyte cell fraction of adipose tissue, and is increased during the course of adipocyte differentiation. Observations made in human patient cohorts and functional experiments carried out on cultured adipocytes suggest that linc-GALNTL6-4 regulates the commitment of adipocytes towards the control of APOC1 levels and appropriate lipid patterns, potentially entangling adipose tissue function in metabolic homeostasis and dyslipidaemia. 2. Results 2.1. Expression of linc-GALNTL6-4 in adipose tissue is inverse to obesity To identify transcripts correlating with adipose tissue function, expression profiling of 16 severe obese women undergoing bariatric surgery was performed. Anthropometric and biochemical phenotyping of these participants is shown in [94]Table S1 and has been reported previously [[95]20]. Microarray analysis depicted a total of 5,018 transcripts differentially expressed (DE) when comparing subcutaneous (SC) adipose tissue at the baseline and ∼2 years after surgery-induced weight loss (adjusted false discovery rate (FDR) p-value<0.05) [[96]20]. Among these, 496 transcripts were defined as putative lncRNAs, after excluding pseudogenes as well as spurious and uncharacterized ncRNAs, based on manual annotation [[97]21]. Two hundred and eighty-two (56.9%) of the lncRNAs with dynamic changes were upregulated, while expression of 214 candidates decreased upon the loss of weight ([98]Figure 1A). Only two lncRNAs displayed an average fold-change > [[99]2] and adjusted FDR p-value<0.0001: linc-GALNTL6-4 (also known as LINC01612, RP11-789C1.1, XLOC_003775, and TCONS_00008319), and linc-NUDT10 (lnc-BMP15-1:1, XLOC_007982, TCONS_00017171, CATG00000111229.1, and ASMER-2 [[100]22]). Expression of linc-NUDT10 was diminished, whereas linc-GALNTL6-4 values in paired pre-post surgery samples displayed a notable increase ([101]Figure 1B). While the decay of adipose-derived linc-NUDT10 in obese patients upon weight loss was documented in 2018 by Zhang and co-workers [[102]23], we were struck by the unprecedented regulation of linc-GALNTL6-4, and hence we focused our research on this lncRNA. First, we confirmed the hitherto overlooked expression of linc-GALNTL6-4 in human adipose tissue. Results collected from the Genotype-Tissue Expression (GTEx) Analysis Release V8 (dbGaP Accession phs000424.v8.p2) showed consistent expression of linc-GALNTL6-4 in SC (n = 663) and visceral (great omentum; n = 541) adipose tissue, ranking up to 9 and 20 transcripts per million (TPM), respectively ([103]Fig. S1a). Additionally, co-expression network analysis of linc-GALNTL6-4 and other RNAs of reference [[104]20] pointed that inter-individual variations affecting this lncRNA were associated with concomitant fluctuations in 181 mRNAs ([105]Table S2). Interpretation of the available annotations by Ingenuity Pathways Analysis (IPA) and g:Profiler highlighted the enrichment of genes related to energy handling, including fatty acid and carbohydrate metabolism ([106]Table S3). Then, we did real time PCR assays in an extended sample of 23 obese patients following surgery-induced weight loss, including those of the discovery cohort ([107]Table S1). In agreement with our microarray results, expression of SC linc-GALNTL6-4 rose (3.8-fold change) in fat samples obtained ∼2 years after gastric bypass ([108]Figure 1C). To better substantiate the apparent regulation of adipose linc-GALNTL6-4, Robust Multichip Average (RMA) expression measures were retrieved from reference [[109]24]. There, biopsies of SC adipose tissue were obtained by needle aspiration from 50 obese women at the baseline and 2 (n = 49) and 5 (n = 38) years after gastric bypass, as well as in a nonoperated group of 28 healthy weight women. Also in this independent dataset ([110]Figure 1D), the utility of linc-GALNTL6-4 as a biomarker of dynamic adaptations affecting adipose tissue function was outlined by the increased expression found in age-matched non-obese subjects (1.24-fold) and obese patients following weight loss (1.16- and 1.28-fold change at 2 and 5 years after surgery, respectively). We queried next the abundance of linc-GALNTL6-4 in SC and omental (OM) fat samples of an independent cohort of individuals with and without obesity (body mass index (BMI) threshold of 30 kg/m^2) ([111]Table S4). In concordance with our longitudinal findings, cross-sectional comparisons confirmed the partial loss of SC and OM adipose linc-GALNTL6-4 in obese subjects ([112]Figure 1E). Notably, linc-GALNTL6-4 levels, which were consistently higher in OM than in SC fat depots ([113]Figure 1E), were inversely correlated with BMI ([114]Figure 1F) and fasting glycaemia, and also opposite to the expression of leptin (LEP) and tumor necrosis factor alpha (TNFα), while running together with biomarkers of adipocyte function such as FASN, ACACA, IRS1, and GLUT4 ([115]Table S5). Additionally, multiple linear regression analyses highlighted that BMI greatly contributed to the variance of SC and OM linc-GALNTL6-4, after controlling for gender, age and fasting glucose ([116]Table S5). For a replication of these cross-sectional observations, we employed RNA sequencing (RNA-seq) data from the subcutaneous fat of 335 male subjects ([117]Table S6) in the Finnish METSIM cohort [[118][25], [119][26], [120][27]]. Here, the expression of linc-GALNTL6-4 showed a significant inverse trend with BMI ([121]Figure 1G) and % fat mass ([122]Figure 1H), lending further, independent validation to the detected association of impaired linc-GALNTL6-4 expression levels with obesity and biomarkers of adipocyte function ([123]Table S7). On the basis of these lines of evidence, we hypothesized that, in human adipose tissue, the loss of linc-GALNTL6-4 might be relevant for energy handling and obesity-associated adipocyte dysfunction, and thus play a role in the set of metabolic disturbances that string along with obesity. Figure 1. [124]Figure 1 [125]Open in a new tab linc-GALNTL6-4 in adipose tissue is opposite to obesity. (A) Volcano plot of upregulated (red) and downregulated (green) lncRNAs in SC adipose tissue after weight loss (n = 16), as per inclusion criteria noted in Methods, and listed in (B). Dynamic adaptations affecting adipose linc-GALNTL6-4 after weight loss were confirmed by means of (C) real time PCR (n = 23), and in (D) an independent dataset of 50 participants (microarray) [[126]24]. linc-GALNTL6-4 levels are provided as box plots of 75th to 25th percentiles with the median, and whiskers at maximum and minimum values. (E) Mean and S.D. for linc-GALNTL6-4 values in SC (for obese and non-obese (BMI<30 kg/m^2) subjects, n = 73 and 136, respectively) and OM (n = 59 and 111) fat samples from an independent cohort of 212 participants, and in (F) association with BMI. ∗∗p < 0.001 for comparisons between groups of subjects segregated according to their BMI, and ^$p < 0.05 and ^$$p < 0.001 for comparisons of OM vs SC. Coloured numbers depict Spearman's rank (r) correlations for men (green and blue) and women (red and purple), and ∗∗p < 0.001. Continuous and staggered black lines show regression and 95% confidence interval. Plots (G) and (H) depict linc-GALNTL6-4 values in the METSIM study, a population-based study including bulk RNA-seq in the SC fat of 335 Finnish men, in association with BMI and fat mass, respectively. (For interpretation of the references to color in this figure legend,