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Asians are underrepresented across many omics databases, thereby limiting the potential of precision medicine in nearly 60% of the global population. As such, there is a pressing need for multi-omics derived quantitative trait loci (QTLs) to fill the knowledge gap of complex traits in populations of Asian ancestry. Here, we provide the first blood-based multi-omics analysis of Asian pregnant women, constituting high-resolution genotyping (N = 1079), DNA methylation (N = 915) and transcriptome profiling (N = 238). Integrative omics analysis identified 219 154 CpGs associated with cis-DNA methylation QTLs (meQTLs) and 3703 RNAs associated with cis-RNA expression QTLs (eQTLs). Ethnicity was the largest contributor of inter-individual variation across all omics datasets, with 2561 genes identified as hotspots of this variation; 395 of these hotspot genes also contained both ethnicity-specific eQTLs and meQTLs. Gene set enrichment analysis of these ethnicity QTL hotspots showed pathways involved in lipid metabolism, adaptive immune system and carbohydrate metabolism. Pathway validation by profiling the lipidome (~480 lipids) of antenatal plasma (N = 752) and placenta (N = 1042) in the same cohort showed significant lipid differences among Chinese, Malay and Indian women, validating ethnicity-QTL gene effects across different tissue types. To develop deeper insights into the complex traits and benefit future precision medicine research in Asian pregnant women, we developed iMOMdb, an open-access database.

Dysregulated transplacental lipid transfer and fetal-placental lipid metabolism affect birthweight, as does maternal hyperglycemia. As the mechanisms are unclear, we aimed to identify the lipids in umbilical cord plasma that were most associated with birthweight. Seventy-five Chinese women with singleton pregnancies recruited into the GUSTO mother-offspring cohort were selected from across the glycemic range based on a mid-gestation 75g oral glucose tolerance test, excluding pre-existing diabetes. Cord plasma were analysed using targeted liquid-chromatography tandem mass-spectrometry to determine relative concentrations of 404 lipid species across 17 lipid classes. Birthweights were standardized for sex and gestational age by local references, and regression analyses adjusted for maternal age, BMI, parity, mode of delivery, insulin treatment, and fasting/2h glucose, with false discovery-corrected p

Brown adipose tissue (BAT) is a promising weapon to combat obesity and metabolic disease. BAT is thermogenic and consumes substantial amounts of glucose and fatty acids as fuel for thermogenesis and energy expenditure. To study BAT function in large human longitudinal cohorts, safe and precise detection methodologies are needed. Although regarded a gold standard, the foray of PET-CT into BAT research and clinical applications is limited by its high ionizing radiation doses. Here, we show that brown adipocytes release exosomes in blood plasma that can be utilized to assess BAT activity. In the present study, we investigated circulating protein biomarkers that can accurately and reliably reflect BAT activation triggered by cold exposure, capsinoids ingestion and thyroid hormone excess in humans. We discovered an exosomal protein, methylene tetrahydrofolate dehydrogenase (NADP+ dependent) 1-like (MTHFD1L), to be overexpressed and detectable in plasma for all three modes of BAT activation in human subjects. This mitochondrial protein is packaged as a cargo within multivesicular bodies of the endosomal compartment and secreted as exosomes via exocytosis from activated brown adipocytes into the circulation. To support MTHFD1L as a conserved BAT activation response in other vertebrates, we examined a rodent model and also proved its presence in blood of rats following BAT activation by cold exposure. Plasma concentration of exosomal MTHFD1L correlated with human BAT activity as confirmed by PET-MR in humans and supported by data from rats. Thus, we deduce that MTHFD1L appears to be overexpressed in activated BAT compared to BAT in the basal nonstimulated state. Agency for Science, Technology and Research (A*STAR) Ministry of Health (MOH) National Medical Research Council (NMRC) Published version The study was funded by the Singapore Ministry of Health’s National Medical Research Council (NMRC) Clinician Scientist Award [grant number NMRC/CSA-INV/0003/2015] awarded to A/Prof. MKSL and also partly supported by the Agency for Science, Technology and Research (A*STAR).

Cancer metabolism is associated with enhanced lipogenesis required for rapid growth and proliferation. However, the magnitude of dysregulation of diverse lipid species mostly remains to be characterized, particularly in rare cancers such as ovarian clear cell carcinoma (OCCC). Here we implemented a robust sample preparation workflow together with targeted LC-MS/MS to identify the lipidomic changes in formalin-fixed paraffin-embedded specimen from OCCC as compared to uninvolved contralateral ovarian tissue. We quantitated 342 lipid species representing 28 lipid classes. We observed differential regulation of diverse lipid species belonging to several glycerophospholipid classes and trihexosylceramide. A number of unsaturated lipid species were increased whereas saturated lipid showed a decrease in OCCC as compared to the controls. We also carried out total fatty acid analysis and observed increase in the levels of several unsaturated fatty acids with concomitant increase in the index of stearoyl-CoA desaturase (SCD) in OCCC. We confirmed the upregulation of SCD, the rate-limiting enzyme for the synthesis of monounsaturated fatty acids, by immunohistochemistry (IHC) assays. Hence, by carrying out mass spectrometry analysis of archival tissue samples, we were able to provide novel insights into the lipidomic alterations of OCCC.

Lipids play a vital role in human health and development, but changes to their circulatory levels during gestation and in early life are poorly understood. Here we present the first developmental and intergenerational landscape of the human circulatory lipidome, derived by profiling of 480 lipid species representing 25 lipid classes, in mothers and their offspring (n=2491). Levels of 66% of the profiled lipids increased in maternal circulation during gestation, while cord blood had higher concentrations of acylcarnitines and lysophospholipids. The offspring lipidome at age six years revealed striking similarities with postnatal maternal lipidome (adult) in its lipid composition and concentrations. Comparison of lipids associated with child and maternal adiposity identified a 92% overlap, implying intergenerational similarities in the lipid signatures of obesity risk. We also catalogued lipid signatures linked with maternal adiposity during gestation and offspring birthweight, and validated (>70% overlap) the findings in an independent birth-cohort (n=1935).

Background Cancer metabolism is associated with enhanced lipogenesis required for rapid growth and proliferation. However, the magnitude of dysregulation of diverse lipid species mostly remain to be characterized, particularly in understudied cancers such as ovarian clear cell carcinoma (OCCC). Further, formalin-fixed paraffin-embedded (FFPE) specimen represent valuable and readily available resources for laboratory investigations but are still underutilized for lipidomics studies. Here we implemented an integrated workflow to investigate lipidomic alterations in OCCC, utilizing FFPE specimen. Methods Lipid extraction of FFPE specimen was carried out by using 1-butanol and methanol in 1:1 (v/v), followed by targeted LC-MS/MS to identify the lipidomic changes in FFPE specimen from OCCC (n=14) as compared to uninvolved contralateral ovarian tissue (n=14). Immunohistochemistry (IHC) assays were implemented to evaluate the expression levels of stearoyl-CoA desaturase (SCD), the rate-limiting enzyme for the synthesis of monounsaturated fatty acids, in OCCC and control tissue specimen. Results We quantified 340 lipid species representing 29 lipid classes. We observed differential regulation of unsaturated lipid species belonging to several glycerophospholipid classes including ether-linked phospholipids, and trihexosylceramide species. We confirmed upregulation of SCD in OCCC by IHC assays. Conclusions By using lipidomic and IHC analysis of archival tissue samples, we were able to provide novel insights into the molecular alterations in OCCC. We show the feasibility of using FFPE specimen to carry out detailed lipidomic analysis of archival cancer samples.

The Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S-PRESTO) is a preconception, longitudinal cohort study that aims to study the effects of nutrition, lifestyle, and maternal mood prior to and during pregnancy on the epigenome of the offspring and clinically important outcomes including duration of gestation, fetal growth, metabolic and neural phenotypes in the offspring. Between February 2015 and October 2017, the S-PRESTO study recruited 1039 Chinese, Malay or Indian (or any combinations thereof) women aged 18 to 45 years and who intended to get pregnant and deliver in Singapore, resulting in 1032 unique participants and 373 children born in the cohort. The participants were followed up for 3 visits during the preconception phase and censored at 12 months of follow up if pregnancy was not achieved (N=557 censored). Women who successfully conceived (N=475) were characterised at gestational weeks 6-8, 11-13, 18-21, 24-26, 27-28 and 34-36. Follow up of their index offspring (N=373 singletons) is on-going at birth, 1, 3 and 6 weeks, 3, 6, 12, 18, 24 and 36 months and beyond. Women are also being followed up post-delivery. Data is collected via interviewer-administered questionnaires, metabolic imaging (magnetic resonance imaging), standardized anthropometric measurements and collection of diverse specimens, i.e. blood, urine, buccal smear, stool, skin tapes, epithelial swabs at numerous timepoints. S-PRESTO has extensive repeated phenotypic data collected which include genetic and epigenetic sampling from preconception which is unique in mother-offspring epidemiological cohorts This enables prospective assessment of a wide array of potential determinants of future health outcomes in women from preconception to post-delivery and in their offspring across the earliest development from embryonic stages into early childhood. In addition the S-PRESTO study, draws from the three major Asian ethnic groups that represent 50% of the global population, increasing the relevance of its findings to global efforts to address non-communicable diseases.

In the present study, a natural sorbent based micro-solid phase extraction (μ-SPE) was developed for determination of phthalate esters in milk samples. For the first time, an efficient and cost effective natural material (seed powder of Moringa oleifera) was employed as sorbent in μ-SPE. The sorbent was found to be naturally enriched with variety of functional groups and having a network of interconnected fibers. This method of extraction integrates different steps such as removal of proteins and fatty stuff, extraction and pre-concentration of target analytes into a single step. Thirteen phthalate esters were selected as target compounds for the development and evaluation of method. Some key parameters affecting the extraction efficiency were optimized, including selection of membrane, selection and amount of sorbent, extraction time, desorption solvent, volume of desorption solvent, desorption time and effect of salt addition. Under the optimum conditions, very good linearity was achieved for all the analytes with coefficient of determinations (R(2)) ranging between 0.9768 and 0.9977. The limits of detection ranged from 0.01 to 1.2 μg L(-1). Proposed method showed satisfactory reproducibility with relative standard deviations ranging from 3.6% to 10.2% (n = 7). Finally, the developed method was applied to tetra pack and bottled milk samples for the determination of phthalate esters. The performance of natural sorbent based μ-SPE was better or comparable to the methods reported in the literature.

α-amylase enzyme hydrolyses carbohydrate into glucose is known to be an important molecular target for type 2 Diabetes mellitus. In the course of developing α-amylase enzyme inhibitors, we designed, synthesized seventeen novel quinoline bearing proline analogs, subsequently physico-chemical properties of designed analogs were also in silico predicted for their drug likeness evaluation. Synthesized compounds were characterized by spectral analysis such as Mass, IR, 1H NMR, 13C NMR and further screened in vitro for α-amylase inhibitory activity using acarbose as standard drug. Seven analogs, 6a, 6b, 6c, 6d, 6g, 10b and 10c showed significant α-amylase inhibitory activity. Eight analogs, 5, 6e, 6f, 6h, 6j, 10a, 10d and 10e showed good to moderate activity while other two analogs, 6i and 9 showed least activity. The molecular docking study of significantly active and weakly active compounds was performed in order to study their putative binding mode of the most and least active compounds (6c and 6i).

Diabetes mellitus (DM) is characterized by hyperglycemia either due to deficient insulin production (Type 1 Diabetes mellitus) or peripheral insulin resistance of the cells (Type 2 Diabetes mellitus). Both Type 1 Diabetes mellitus and Type 2 Diabetes mellitus are more prevalent and efforts are directed to actively control these metabolic syndromes. Currently, Alzheimer's disease (AD), is gaining popularity as 'Type 3 diabetes' or 'Diabetes of the brain' and it is now evident that this neurodegenerative disease has multiple shared pathology with DM. Alarming is the fact that the incidence of AD might double within the next two decades, and this is certain to cause devastating effects not only to the afflicted individual or the family, but also to the global economy. Methods to either delay the onset or inhibit the progression of AD are therefore necessary. Progressive dementia, increased deposition of amyloid- β protein, neurofibrillary tangles and neuritic plaques in the brain are some of the hallmarks of AD. More understanding of the disease at the cellular and molecular level will enable identifying the possible targets for intervention and pave way for either development of novel or modification of the existing therapeutic options. In this work we have performed semantic data mining analysis on a large collection of most recently published data and identified an updated list of common genes expressed in DM and AD. Functional analysis of these genes revealed both existing and missing links involved in a bigger network associated with both disease conditions. Thus we argue that computational analysis methods help not only in understanding the mechanistic links but also in narrowing down precise targets (genes, proteins, metabolites and signalling pathways) and provide the base for both disease intervention and development of therapeutic options.

MicroRNAs (miRNAs) are known to be dysregulated and play a key role in cancer progression. The present study aims to identify the miRNAs associated with colorectal adenoma and carcinoma to evaluate their role in tumor progression and metastasis using microarray. In silico analysis of miRNAs was performed on five different microarray data sets that represented the genes and miRNAs expressed in colorectal adenoma and carcinoma. We identified 10 different miRNAs that were common to both colorectal adenoma and carcinoma, namely, miR9, miR96, miR135b, miR137, miR147, miR182, miR183, miR196b, miR224, and miR503. Of these, miR135b and miR147 were significantly downregulated in colorectal adenoma but upregulated in carcinoma. In addition, we studied the gene expression profile associated with colorectal adenocarcinoma and identified three genes, namely, ZBED3, SLC10A3, and FOXQ1, that were significantly downregulated in colorectal adenoma compared to carcinoma. Interestingly, of all the miRNAs and genes associated with colorectal adenocarcinoma, the myoglobin (MB) gene was identified to be under the direct influence of miR135b, showing an inverse relationship between them in adenoma and carcinoma. Most of the identified miRNAs and associated genes are involved in signaling pathways of cell proliferation, angiogenesis, and metastasis. The present study has identified putative miRNA targets and their associated gene networks which could be used as potential biomarkers of colon adenocarcinoma. Moreover, the association of miR135b and MB gene is very unique and can be considered as a lead candidate for novel cancer therapeutics.

The relationship between the two age-related diseases namely, Alzheimer's disease (AD) and type II diabetes mellitus (T2DM), is gaining much attention in research because of the alarming forecast on both increasing incidence and economic burden. Recent research studies have identified some of the existing links, between AD and T2DM, such as the dysfunctional glucose metabolism and insulin signaling, stress and inflammation, defective protein processing and the role of advanced glycation end products. It is, therefore, crucial to understand the cellular and molecular mechanisms to identify the common linking mechanisms involved in the pathogenesis of both AD and T2DM. Genome wide association studies may lead to identification of novel targets and provide clues for possible interventional strategies to limit the progression of these two age-related diseases. Hence, the purpose of the present review is to provide an update, on the various possible linking cellular and molecular mechanisms, including our experience on the use of high throughput applications to investigate the molecular mechanisms underneath the neurodegeneration in animal models. Besides, using this knowledge-driven approach, we discuss how the current technological advancements can effectively be used to identify possible associations between these age-related diseases.

OBJECTIVES: To use proteomics to identify and characterize proteins in maternal serum from patients at high-risk for fetal trisomy 21, trisomy 18, and trisomy 13 on the basis of ultrasound and maternal serum triple tests. METHODS: We performed a comprehensive proteomic analysis on 23 trisomy cases and 85 normal cases during the early second trimester of pregnancy. Protein profiling along with conventional sodium dodecyl sulfate polyacrylamide gel electrophoresis/Tandem mass spectrometry analysis was carried out to characterize proteins associated with each trisomy condition and later validated using Western blot. RESULTS: Protein profiling approach using surface enhanced laser desorption/ionization time-of-flight mass (SELDI-TOF/MS) spectrometry resulted in the identification of 37 unique hydrophobic proteomic features for three trisomy conditions. Using sodium dodecyl sulfate polyacrylamide gel electrophoresis followed by Matrix Assisted Laser Desorption Ionization - Time of Flight/Time of Flight (MALDI-TOF/TOF) and western blot, glyco proteins such as alpha-1-antitrypsin, apolipoprotein E, apolipoprotein H, and serum carrier protein transthyretin were identified as potential maternal serum markers for fetal trisomy condition. The identified proteins showed differential expression at the subunit level. CONCLUSIONS: Maternal serum protein profiling using proteomics may allow non-invasive diagnostic testing for the most common trisomies and may complement ultrasound-based methods to more accurately determine pregnancies with fetal aneuploidies.

Proteomics-based identification of biomarkers for fetal abnormalities in maternal plasma, amniotic fluid and reproductive fluids has made significant progress in the past 5 years. This is attributed mainly to advances in various technology platforms associated with mass spectrometry-based techniques. As these techniques are highly sensitive and require only small quantities of body fluids, it is hoped that they will pave the way for the development of effective noninvasive approaches, without subjecting the developing fetus to the same degree of harm as current invasive procedures (e.g., amniocentesis). It is possible that these developments will include same-day analyses, thereby permitting rapid intervention when necessary. To date, a host of body fluids, such as maternal serum and plasma, amniotic fluid, cervical fluid, vaginal fluid, urine, saliva or fetal material, such as placental trophoblast, fetal membranes or cord blood, have been used successfully in the quest to develop markers for a number of pregnancy-related pathologies. In the current review update we focus on the emergence of proteomics as a major platform technology in studying various types of fetal conditions and developing markers for pregnancy-related disorders, such fetal aneuploidy, preterm birth, preeclampsia, intra-amniotic infection and fetal stress. Should the development of these markers be successful, then it is to be envisaged that proteomic approaches will become standard of care for a number of disease conditions associated with feto-maternal health.

Ovarian cancer (OC) is becoming the most common gynecological cancer in developed countries and the most lethal gynecological malignancy. It is also the fifth leading cause of all cancer-related deaths in women. The identification of diagnostic biomarkers and development of early detection techniques for OC largely depends on the understanding of the complex functionality and regulation of genes involved in this disease. Unfortunately, information about these OC genes is scattered throughout the literature and various databases making extraction of relevant functional information a complex task. To reduce this problem, we have developed a database dedicated to OC genes to support exploration of functional characterization and analysis of biological processes related to OC. The database contains general information about OC genes, enriched with the results of transcription regulation sequence analysis and with relevant text mining to provide insights into associations of the OC genes with other genes, metabolites, pathways and nuclear proteins. Overall, it enables exploration of relevant information for OC genes from multiple angles, making it a unique resource for OC and will serve as a useful complement to the existing public resources for those interested in OC genetics. Access is free for academic and non-profit users and database can be accessed at http://apps.sanbi.ac.za/ddoc/.

Parabens (alkyl esters of p-hydroxybenzoic acid) are widely used as preservatives in food, cosmetics and pharmaceutical products. However, weak estrogenicity of some parabens has been reported in several studies, which provided the impetus for this work. Here, a simple and efficient analytical method for quantifying parabens in cancer tissues has been developed. This technique involves the simultaneous use of microwave-assisted solvent extraction (MASE) and micro-solid phase extraction (μ-SPE), in tandem with high performance liquid chromatography (HPLC/UV) analysis for the determination of parabens. The pollutants studied included four parabens (methyl, ethyl, propyl and butyl parabens). Optimization of the experimental parameters for MASE and μ-SPE was performed. Good relative standard deviation (%RSD) ranged from 0.09 to 2.81% and high enrichment factors (27-314) were obtained. Coefficients of determination (r(2)) up to 0.9962 were obtained across a concentration range of 5.0-200ngg(-1). The method detection limits for parabens ranged from 0.005 to 0.0244ngg(-1). The procedure was initially tested on prawn samples to demonstrate its feasibility on a complex biological matrix. Preliminary studies on human ovarian cancer (OC) tissues showed presence of parabens. Higher levels of parabens were detected in malignant ovarian tumor tissues compared to benign tumor tissue samples.

Persistent organic pollutants, such as polychlorinated biphenyls (PCBs), are a global problem. We demonstrate enhanced depletion of PCBs using root-associated microbes, which can use plant secondary metabolites, such as phenylpropanoids. Using a “rhizosphere metabolomics” approach, we show that phenylpropanoids constitute 84% of the secondary metabolites exuded from Arabidopsis roots. Phenylpropanoid-utilizing microbes are more competitive and are able to grow at least 100-fold better than their auxotrophic mutants on roots of plants that are able to synthesize or overproduce phenylpropanoids, such as flavonoids. Better colonization of the phenylpropanoid-utilizing strain in a gnotobiotic system on the roots of flavonoid-producing plants leads to almost 90% removal of PCBs in a 28-d period. Our work complements previous approaches to engineer soil microbial populations based on opines produced by transgenic plants and used by microbes carrying opine metabolism genes. The current approach based on plant natural products can be applied to contaminated soils with pre-existing vegetation. This strategy is also likely to be applicable to improving the competitive abilities of biocontrol and biofertilization strains.

Background Resveratrol (RSV) is a polyphenolic phytoalexin (3, 5, 4’trihydroxystilbene) produced by plants as a protective defense mechanism against pathogens or environmental stress [1]. RSV is found in various plant species such as peanuts, mulberries, Japanese knotweed and skin of grapes. As such RSV is a component of red wine. Interestingly, the prevalence of coronary heart disease (CHD) is comparatively reduced in people from Southern France despite high dietary intake of saturated fats [1-3]. In order to uncork this “French-Paradox”, as well as to identify other potential health benefits of RSV in relation to cancer, infection and inflammation, we studied molecular docking of RSV with known protein structures implicated in health and disease and further dissected the potential molecular networks regulated by RSV.

Materials and methods We used SurePrint G3 human CGH+SNP, 2×400K, microarrays to assess gains and losses in 47 PTCs in comparison to male and female human reference DNA. Interpretation of results was accomplished by using the HG19 version of the design file and the default analysis method of the Cytogenomics 2.7 research software [1]. To compare BRAF mutant (BRAF) PTCs with BRAF wild type (BRAF) PTCs, the BRAF mutational status was established in 42 cases by direct sequencing the mutational hotspot region in exon 15 [2].