Quantitative proteomic profiling of Cervicovaginal fluid from pregnant women with term and preterm birth.

BACKGROUND: Preterm birth (PTB) is one of major causes of perinatal mortality and neonatal morbidity, but knowledge of its complex etiology is still limited. Here we present cervicovaginal fluid (CVF) protein profiles of pregnant women who subsequently delivered at spontaneous preterm or term, aiming to identify differentially expressed CVF proteins in PTB and term birth. METHODS: The CVF proteome of women who sequentially delivered at preterm and term was analyzed using isobaric tags for relative and absolute quantitation (iTRAQ) coupled with two-dimensional nanoflow liquid chromatography-tandem mass spectrometry (2D-nLC-MS/MS). We compared the CVF proteome of PTB (n = 5) and control subjects (term birth, n = 7) using pooled control CVF (term birth, n = 20) as spike-in standard. RESULTS: We identified 1294 CVF proteins, of which 605 were newly identified proteins. Of 990 proteins quantified in both PTB and term birth, 52 proteins were significantly up/down-regulated in PTB compared to term birth. The differentially expressed proteins were functionally associated to immune response, endopeptidase inhibitors and structural constituent of cytoskeleton. Finally, we confirm the down-regulation of SERPINB7 (a serine-type protease inhibitor) in PTB compared to control by Western blot. CONCLUSIONS: Taken together, our study provide quantitative CVF proteome profiles of pregnant women who ultimately delivered at preterm and term. These promising results could help to improve the understanding of PTB etiology and to discover biomarkers for asymptomatic PTB.

Anticancer Effects of Propionic Acid Inducing Cell Death in Cervical Cancer Cells.

Recent studies found that short-chain fatty acids (SCFAs), which are produced through bacterial fermentation in the gastrointestinal tract, have oncoprotective effects against cervical cancer. The most common SCFAs that are well known include acetic acid, butyric acid, and propionic acid, among which propionic acid (PA) has been reported to induce apoptosis in HeLa cells. However, the mechanism in which SCFAs suppress HeLa cell viability remain poorly understood. Our study aims to provide a more detailed look into the mechanism of PA in HeLa cells. Flow cytometry analysis revealed that PA induces reactive oxygen species (ROS), leading to the dysfunction of the mitochondrial membrane. Moreover, PA inhibits NF-κB and AKT/mTOR signaling pathways and induces LC3B protein levels, resulting in autophagy. PA also increased the sub-G1 cell population that is characteristic of cell death. Therefore, the results of this study propose that PA inhibits HeLa cell viability through a mechanism mediated by the induction of autophagy. The study also suggests a new approach for cervical cancer therapeutics.

Development of a three-dimensional in vitro co-culture model to increase drug selectivity for humans.

AIM: Insulin resistance is a metabolic state where insulin sensitivity is lower than normal condition and strongly related to type 2 diabetes. However, an in vitro model mimicking insulin resistance is rare and thus screening drugs for insulin resistance severely depends on an in vivo model. Here, to increase anti-diabetic drug selectivity for humans, 3D ADMSCs and macrophages were co-cultured with in-house fabricated co-culture plates. MATERIAL AND METHODS: 3D co-culture plates were designed to load ADMSCs and RAW264.7 cells containing hydrogels in separate wells while allowing cell-cell interaction with co-culturing media. Hydrogels were constructed using a 3D cell-printing system containing 20 mg/ml alginate, 0.5 mg/ml gelatin and 0.5 mg/ml type I collagen. Cells containing hydrogels in 3D co-culture plates were incubated for 10 min to allow stabilization before the experiment. 3D co-culture plates were incubated with the CaCl2 solution for 5 min to complete the cross linking of alginate hydrogel. Cells in 3D co-culture plates were cultured for up to 12 days depending on the experiment and wells containing adipocytes and macrophages were separated and used for assays. RESULTS: KR-1, KR-2 and KR-3 compounds were applied during differentiation (12 days) in 3D co-cultured mouse 3T3-L1 adipocytes and 3D co-cultured human ADMSCs. Glucose uptake assay using 2-DG6P and 2-NBDG and western blot analysis were performed to investigate changes of insulin resistance in the 3D co-cultured model for interspecies selectivity of drug screening. KR-1 (mouse potent enantiomer) and KR-3 (racemic mixture) showed improvement of 2-DG and 2-NBDG uptake compared with KR-2 (human potent enantiomer) in 3D co-cultured 3T3-L1 adipocytes. In connection with insulin resistance in a 3D 3T3-L1 co-cultured model, KR-1 and KR-3 showed improvement of insulin sensitivity compared to KR-2 by markedly increasing GLUT4 expression. In contrast to the result of 3D co-cultured 3T3-L1 adipocytes, KR-1 failed to significantly improve 2-DG and 2-NBDG uptake in 3D co-cultured ADMSC adipocytes. Results of 2-NBDG accumulation and western blot analysis also showed that KR-2 and KR-3 improved insulin sensitivity relatively better than KR-1. CONCLUSIONS: Our 3D co-culture model with/without 3D co-culture plates can successfully mimic insulin resistance while allowing investigation of the effects of anti-obesity or anti-diabetic drugs on human or mouse co-culturing cell type. This 3D co-culture system may accelerate screening of drugs for insulin resistance depending on species.

Deuterium Oxide Labeling for Global Omics Relative Quantification: Application to Lipidomics.

A novel quantitative mass spectrometric method based on partial metabolic deuterium oxide (D2O) labeling, named "Deuterium Oxide Labeling for Global Omics Relative Quantification (DOLGOReQ)", was developed for relative quantification of lipids on a global scale. To assess the precision and robustness of DOLGOReQ, labeled and unlabeled lipids from HeLa cells were mixed in various ratios based on their cell numbers. Using in-house software developed for automated high-throughput data analysis of DOLGOReQ, the number of detectable mass isotopomers and the degree of deuterium labeling were exploited to filter out low quality quantification results. Quantification of an equimolar mixture of HeLa cell lipids exhibited high reproducibility and accuracy across multiple biological and technical replicates. Two orders of magnitude of effective dynamic range for reasonable relative quantification could be established with HeLa cells mixed from 10:1 to 1:10 ratios between labeled and unlabeled samples. The quantification precision of DOLGOReQ was also illustrated with lipids commonly detected in both positive and negative ion modes. Finally, quantification performance of DOLGOReQ was demonstrated in a biological sample by measuring the relative change in the lipidome of HeLa cells under normal and hypoxia conditions.

Development of in vitro three-dimensional co-culture system for metabolic syndrome therapeutic agents.

AIMS: There are many obstacles to overcome in the development of new drugs for metabolic diseases, including efficacy and toxicity problems in later stages of drug development. To overcome these problems and predict efficacy and toxicity in early stages, we constructed a new model of insulin resistance in terms of communication between 3T3-L1 adipocytes and RAW264.7 macrophages by three-dimensional (3D) culture. RESULTS: In this study, results focused on the functional resemblance between 3D co-culture of adipocytes and macrophages and adipose tissue in diabetic mice. The 3D mono-culture preadipocytes showed good cell viability and induced cell differentiation to adipocytes, without cell confluence or cell-cell contact and interaction. The 3D co-cultured preadipocytes with RAW264.7 macrophages induced greater insulin resistance than two-dimensional and 3D mono-cultured adipocytes. Additionally, we demonstrated that 3D co-culture model had functional metabolic similarity to adipose tissue in diabetic mice. We utilized this 3D co-culture system to screen PPARγ antagonists that might have potential as therapeutic agents for diabetes as demonstrated by an in vivo assay. CONCLUSION: This in vitro 3D co-culture system could serve as a next-generation platform to accelerate the development of therapeutics for metabolic diseases.

Dysbiosis-induced IL-33 contributes to impaired antiviral immunity in the genital mucosa.

Commensal microbiota are well known to play an important role in antiviral immunity by providing immune inductive signals; however, the consequence of dysbiosis on antiviral immunity remains unclear. We demonstrate that dysbiosis caused by oral antibiotic treatment directly impairs antiviral immunity following viral infection of the vaginal mucosa. Antibiotic-treated mice succumbed to mucosal herpes simplex virus type 2 infection more rapidly than water-fed mice, and also showed delayed viral clearance at the site of infection. However, innate immune responses, including type I IFN and proinflammatory cytokine production at infection sites, as well as induction of virus-specific CD4 and CD8 T-cell responses in draining lymph nodes, were not impaired in antibiotic-treated mice. By screening the factors controlling antiviral immunity, we found that IL-33, an alarmin released in response to tissue damage, was secreted from vaginal epithelium after the depletion of commensal microbiota. This cytokine suppresses local antiviral immunity by blocking the migration of effector T cells to the vaginal tissue, thereby inhibiting the production of IFN-γ, a critical cytokine for antiviral defense, at local infection sites. These findings provide insight into the mechanisms of homeostasis maintained by commensal bacteria, and reveal a deleterious consequence of dysbiosis in antiviral immune defense.

Isotope-coded carbamidomethylation for quantification of N-glycoproteins with online microbore hollow fiber enzyme reactor-nanoflow liquid chromatography-tandem mass spectrometry.

This paper introduces a simple, inexpensive, and robust quantitative proteomic method for quantifying N-linked glycoproteins based on isotope-coded carbamidomethylation (iCCM) incorporated into an online microbore hollow fiber enzyme reactor and nanoflow liquid chromatography-tandem mass spectrometry (mHFER-nLC-MS/MS). The iCCM quantitation uses carbamidomethylation (CM; a routine protection of thiol groups before proteolysis) of the Cys residue of proteins with iodoacetamide (IAA) or its isotope (IAA-(13)C2,D2: 4 Da difference). CM-/iCCM-labeled proteome samples are mixed for proteolysis; then, online enrichment of N-glycopeptides using lectin affinity is carried out in an mHFER before nLC-MS/MS for quantification using multiple reaction monitoring (MRM). Initial evaluation of the iCCM method varying the mixing ratio of CM-/iCCM-labeled bovine serum albumin (BSA) standards yielded successful quantification of 18 peptides with less than 2% variation in the calculated ratio of light/heavy-labeled peptides. The iCCM quantitation with mHFER-nLC-MS/MS was evaluated with three standard glycoproteins (α-1-acid glycoproteins, fetuin and transferrin) and then applied to serum glycoproteins from liver cancer patients and controls, resulting in successful quantification of 73 N-glycopeptides (from 49 N-glycoproteins), among which 19 N-glycopeptides from 14 N-glycoproteins showed more than a 2.5-fold aberrant change in liver cancer patients' sera compared with the pooled control. Although iCCM quantitation with mHFER-nLC-MS/MS applies only to glycopeptides with Cys residue, the method can offer several advantages over other labeling methods when applied to targeted glycoproteins: The iCCM method does not require an additional labeling reaction under special conditions nor complicated procedures to purify labeled products using additional columns. Isotope labeling at the protein level can minimize potential uncertainty originating from unequal efficiencies in protein digestion in separate vials and retrieval of each labeled peptide when labeling takes place at the peptide level. In addition, the labeling reagents for the iCCM method are readily obtained at a reasonable cost, which can make protein quantification easily accessible.

Determination of phosphorus impurity that directly affects quantification of microbial genomic DNA using inductively coupled plasma optical emission spectrometry.

We prepared genomic DNA from human placenta, Escherichia coli, and Bacillus subtilis using various DNA extraction methods and quantified the genomic DNA using ultraviolet (UV) spectrophotometry, capillary electrophoresis (CE), and inductively coupled plasma optical emission spectrometry (ICP-OES). Application of ICP-OES unexpectedly led to a serious overestimation of phosphorus in B. subtilis genomic DNA prepared using cetyltrimethyl ammonium bromide (CTAB). Further investigations using reversed-phase high-performance liquid chromatography (RP-HPLC), ultra-performance liquid chromatography electrospray ionization tandem mass spectrometry (UPLC-ESI-MS/MS), and (31)P nuclear magnetic resonance (NMR) identified the phosphorus impurity as lipoteichoic acid (LTA).

Guidelines for Manufacturing and Application of Organoids: Liver.

Recent amendments to regulatory frameworks have placed a greater emphasis on the utilization of in vitro testing platforms for preclinical drug evaluations and toxicity assessments. This requires advanced tissue models capable of accurately replicating liver functions for drug efficacy and toxicity predictions. Liver organoids, derived from human cell sources, offer promise as a reliable platform for drug evaluation. However, there is a lack of standardized quality evaluation methods, which hinders their regulatory acceptance. This paper proposes comprehensive quality standards tailored for liver organoids, addressing cell source validation, organoid generation, and functional assessment. These guidelines aim to enhance reproducibility and accuracy in toxicity testing, thereby accelerating the adoption of organoids as a reliable alternative or complementary tool to animal testing in drug development. The quality standards include criteria for size, cellular composition, gene expression, and functional assays, thus ensuring a robust hepatotoxicity testing platform.

The secreted protein Amuc_1409 from Akkermansia muciniphila improves gut health through intestinal stem cell regulation.

Akkermansia muciniphila has received great attention because of its beneficial roles in gut health by regulating gut immunity, promoting intestinal epithelial development, and improving barrier integrity. However, A. muciniphila-derived functional molecules regulating gut health are not well understood. Microbiome-secreted proteins act as key arbitrators of host-microbiome crosstalk through interactions with host cells in the gut and are important for understanding host-microbiome relationships. Herein, we report the biological function of Amuc_1409, a previously uncharacterised A. muciniphila-secreted protein. Amuc_1409 increased intestinal stem cell (ISC) proliferation and regeneration in ex vivo intestinal organoids and in vivo models of radiation- or chemotherapeutic drug-induced intestinal injury and natural aging with male mice. Mechanistically, Amuc_1409 promoted E-cadherin/ß-catenin complex dissociation via interaction with E-cadherin, resulting in the activation of Wnt/ß-catenin signaling. Our results demonstrate that Amuc_1409 plays a crucial role in intestinal homeostasis by regulating ISC activity in an E-cadherin-dependent manner and is a promising biomolecule for improving and maintaining gut health.

Development of an online microbore hollow fiber enzyme reactor coupled with nanoflow liquid chromatography-tandem mass spectrometry for global proteomics.

In this study, we report the development of a microbore hollow fiber enzyme reactor (mHFER) coupled to nanoflow liquid chromatography-tandem mass spectrometry (nLC-ESI-MS/MS) for the online digestion or selective enrichment of glycopeptides and analysis of proteins. With mHFER, enzymatic digestion of protein could be achieved by continuous flow within a very small volume (~10 µL) of mHF inserted in a PEEK tube. Digested peptides exited through the pores of the hollow fiber membrane wall to external single or multiplexed trap columns for nLC-ESI-MS/MS analysis. Evaluation of online mHFER-nLC-ESI-MS/MS system was made with bovine serum albumin (BSA) by varying the temperature of digestion and the amount of protein injected. We evaluated the ability of the mHFER system to enrich glycopeptides by injecting a mixture of lectin (concanavalin A) and digested peptides from α-1-acid glycoprotein (AGP) into the mHFER, followed by delivery of PNGase F for endoglycosidic digestion. Nonglycosylated peptides unbound to lectins eluted at the first breakthrough run while N-linked glycopeptides eluted after the endoglycosidic digestion. The developed method was applied to urine samples from patients with prostate cancer and controls; 67 N-linked glycopeptides were identified and relative differences in glycopeptide content between patient and control samples were determined.

Quantitative and Qualitative Analysis of Neurotransmitter and Neurosteroid Production in Cerebral Organoids during Differentiation.

In the human brain, neurophysiological activity is modulated by the movement of neurotransmitters and neurosteroids. To date, the similarity between cerebral organoids and actual human brains has been evaluated using comprehensive multiomics approaches. However, a systematic analysis of both neurotransmitters and neurosteroids from cerebral organoids has not yet been reported. Here, we performed quantitative and qualitative assessments of neurotransmitters and neurosteroids over the course of cerebral organoid differentiation. Our multiomics approaches revealed that the expression levels of neurotransmitter-related proteins and RNA, including neurosteroids, increase as cerebral organoids mature. We also found that the electrophysiological activity of human cerebral organoids increases in tandem with the expression levels of both neurotransmitters and neurosteroids. Our study demonstrates that the expression levels of neurotransmitters and neurosteroids can serve as key factors in evaluating the maturity and functionality of human cerebral organoids.

Dual lectin-based size sorting strategy to enrich targeted N-glycopeptides by asymmetrical flow field-flow fractionation: profiling lung cancer biomarkers.

A dual lectin-based size sorting and simultaneous enrichment strategy for selectively isolating N-linked glycopeptides was developed using asymmetrical flow field-flow fractionation (AF4). AF4 is an elution-based method for separating biological macromolecules that has been utilized for the separation of lectin-glycopeptide complexes formed by mixing serum peptides with lectin cocktails according to the difference in diffusion coefficients. It has also been used for simultaneous depletion of nonglycosylated peptides. The dual lectin-based enrichment method was applied to proteolytic peptides from lung cancer serum samples with two lectins (WGA, GlcNAc-specific, and SNA, Sia-specific), and the whole mixture was separated by AF4. The lectin-glycopeptide complex fractions collected during AF4 separation were endoglycosidically digested with PNGase F. The resulting deamidated glycopeptides were analyzed by nanoflow liquid chromatography-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS-MS) to semiquantitatively profile the N-linked glycopeptides from the sera of lung cancer patients and healthy controls. The AF4 enrichment strategy coupled with nLC-ESI-MS-MS identified 16/24 (up/down-regulated by at least 10-fold compared to normal sera) N-linked glycopeptides from a WGA complex fraction of lung cancer sera and 18/3 from a SNA fraction.

Glioblastoma patient-derived cell-based phenotypic drug screening and identification of possible action mechanisms through proteomic analysis.

Because glioblastoma (GBM) exhibits high heterogeneity, it is desirable to use patient-derived cells from the first stage of screening for GBM drug discovery. Here, we describe a protocol to culture patient-derived GBM cells on the extracellular matrix-coated plates to allow high-throughput screening. Further, we detail approaches to identify the mechanism of action (MOA) of the selected effective drug through proteomics. This protocol will be useful for researchers interested in drug screening and the MOA of drugs. For complete details on the use and execution of this protocol, please refer to Nam et al. (2021).

SILAC-Based Quantitative Proteomic Analysis of Oxaliplatin-Resistant Pancreatic Cancer Cells.

Oxaliplatin is a commonly used chemotherapeutic drug for the treatment of pancreatic cancer. Understanding the cellular mechanisms of oxaliplatin resistance is important for developing new strategies to overcome drug resistance in pancreatic cancer. In this study, we performed a stable isotope labelling by amino acids in cell culture (SILAC)-based quantitative proteomics analysis of oxaliplatin-resistant and sensitive pancreatic cancer PANC-1 cells. We identified 107 proteins whose expression levels changed (thresholds of 2-fold changes and p-value ≤ 0.05) between oxaliplatin-resistant and sensitive cells, which were involved in multiple biological processes, including DNA repair, cell cycle process, and type I interferon signaling pathway. Notably, myristoylated alanine-rich C-kinase substrate (MARCKS) and Wntless homolog protein (WLS) were upregulated in oxaliplatin-resistant cells compared to sensitive cells, as confirmed by qRT-PCR and Western blot analysis. We further demonstrated the activation of AKT and ß-catenin signaling (downstream targets of MARCKS and WLS, respectively) in oxaliplatin-resistant PANC-1 cells. Additionally, we show that the siRNA-mediated suppression of both MARCKS and WLS enhanced oxaliplatin sensitivity in oxaliplatin-resistant PANC-1 cells. Taken together, our results provide insights into multiple mechanisms of oxaliplatin resistance in pancreatic cancer cells and reveal that MARCKS and WLS might be involved in the oxaliplatin resistance.

Lectin-based enrichment method for glycoproteomics using hollow fiber flow field-flow fractionation: application to Streptococcus pyogenes.

This paper presents a new application of hollow fiber flow field-flow fractionation (HF5) as a preparative method to preconcentrate high mannose type N-linked glycoproteins from Streptococcus pyogenes by means of the mannose-specific binding affinity between concanavalian A (ConA) and N-linked glycosylated proteins. Prior to fractionation of N-linked glycoproteins from bacterial lysates, it was examined that ConA formed several types of multimers depending on the pH values (4, 6, and 8) of the carrier solution and it was confirmed that the molecular weight (MW) of ConA, spiked with alpha-1 acid glycoprotein (AGP) as a standard glycoprotein, increased due to binding with the mannose moiety of AGP. After adding ConA to bacterial lysates, mannose type N-linked glycoproteins were found to be enriched when the ConA fraction was isolated from whole bacterial lysates through HF5 run. For the identification of glycoproteins, the ConA fraction of HF5 was tryptically digested and followed by two-dimensional nanoflow strong cation exchange-reversed phase liquid chromatography-electrospray ionization-tandem mass spectrometry (2D SCX-RPLC-ESI-MS-MS) analysis to identify the N-linked glycoprotein species. From two-dimensional shotgun analyses, 45 proteins that exist on the Asn-Xaa-Ser/Thr sequence were identified as high mannose type N-linked glycoprotein. As a result, it was first demonstrated that HF5 is an alternative tool to enrich high mannose type N-linked glycoproteins using ConA-specific binding affinity.

Evaluating Cell Death Using Cell-Free Supernatant of Probiotics in Three-Dimensional Spheroid Cultures of Colorectal Cancer Cells.

This manuscript describes a protocol to evaluate cancer cell deaths in three dimensional (3D) spheroids of multicellular types of cancer cells using supernatants from Lactobacillus fermentum cell culture, considered as probiotics cultures. The use of 3D cultures to test Lactobacillus cell-free supernatant (LCFS) are a better option than testing in 2D monolayers, especially as L. fermentum can produce anti-cancer effects within the gut. L. fermentum supernatant was identified to possess increased anti-proliferative effects against several colorectal cancer (CRC) cells in 3D culture conditions. Interestingly, these effects were strongly related to the culture model, demonstrating the notable ability of L. fermentum to induce cancer cell death. Stable spheroids were generated from diverse CRCs (colorectal cancer cells) using the protocol presented below. This protocol of generating 3D spheroid is time saving and cost effective. This system was developed to easily investigate the anti-cancer effects of LCFS in multiple types of CRC spheroids. As expected, CRC spheroids treated with LCFS strongly induced cell death during the experiment and expressed specific apoptosis molecular markers as analyzed by qRT-PCR, western blotting, and FACS analysis. Therefore, this method is valuable for exploring cell viability and evaluating the efficacy of anti-cancer drugs.

Effect of fibroblast co-culture on the proliferation, viability and drug response of colon cancer cells.

Interactions between cancer cells and the surrounding fibroblasts serve an important role in cancer proliferation. Colon cancer co-culture model with colon fibroblasts and two metastatic models with lung and skin fibroblasts were established, and the co-culture effects on colon cancer cell proliferation, apoptosis and drug response were evaluated. Co-culture with CCD-18Co and BJ reduces SW480 cell proliferation by 4.2 and 5.3%, respectively, while WI-38 acts as a positive regulator and increases SW480 cell proliferation by 36%. CCD-18Co and BJ co-culture can also enhance XAV939 potency against SW480 cells by 16.8 and 27.3%; however, WI-38 co-culture reduces the effect of XAV939 by 38.2%. The present results suggest that, depending on fibroblast type, co-culture can have a positive/negative influence on colon cancer growth; therefore, care should be taken when considering fibroblasts as a target for future cancer therapies.

Characterization of the Anti-Cancer Activity of the Probiotic Bacterium Lactobacillus fermentum Using 2D vs. 3D Culture in Colorectal Cancer Cells.

The aim of this study was to investigate the potential anti-cancer effects of probiotic cell-free supernatant (CFS) treatment using Lactobacillusfermentum for colorectal cancer (CRC) in 3D culture systems. Cell viability was assessed using MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt) assays, whereas apoptosis was monitored through RT-qPCR analysis of Bax, Bak, Noxa, and Bid mRNA expressions in addition to flow cytometry analysis of Lactobacillus cell-free supernatant (LCFS) treatment. Our results showed that the anti-cancer effect of LCFS on cell viability was pronouncedly enhanced in 3D-cultured HCT-116 cells, which was linked to the increased level of cleaved caspase 3. Additionally, upregulation of apoptotic marker gene mRNA transcription was dramatically increased in 3D cultured cells compared to 2D systems. In conclusion, this study suggests that LCFS enhances the activation of intrinsic apoptosis in HCT-116 cells and the potential anti-cancer effects of Lactobacilli mixtures in 3D culture systems. All in all, our study highlights the benefits of 3D culture models over 2D culture modeling in studying the anti-cancer effects of probiotics.

iTRAQ-Based Quantitative Proteomic Comparison of 2D and 3D Adipocyte Cell Models Co-cultured with Macrophages Using Online 2D-nanoLC-ESI-MS/MS.

The demand for novel three-dimensional (3D) cell culture models of adipose tissue has been increasing, and proteomic investigations are important for determining the underlying causes of obesity, type II diabetes, and metabolic disorders. In this study, we performed global quantitative proteomic profiling of three 3D-cultured 3T3-L1 cells (preadipocytes, adipocytes and co-cultured adipocytes with macrophages) and their 2D-cultured counterparts using 2D-nanoLC-ESI-MS/MS with iTRAQ labelling. A total of 2,885 shared proteins from six types of adipose cells were identified and quantified in four replicates. Among them, 48 proteins involved in carbohydrate metabolism (e.g., PDHα, MDH1/2, FH) and the mitochondrial fatty acid beta oxidation pathway (e.g., VLCAD, ACADM, ECHDC1, ALDH6A1) were relatively up-regulated in the 3D co-culture model compared to those in 2D and 3D mono-cultured cells. Conversely, 12 proteins implicated in cellular component organisation (e.g., ANXA1, ANXA2) and the cell cycle (e.g., MCM family proteins) were down-regulated. These quantitative assessments showed that the 3D co-culture system of adipocytes and macrophages led to the development of insulin resistance, thereby providing a promising in vitro obesity model that is more equivalent to the in vivo conditions with respect to the mechanisms underpinning metabolic syndromes and the effect of new medical treatments for metabolic disorders.