01253nas a2200361   4500008004100000022001400041245014600055210006900201260000800270300001400278490000700292653002300299653001800322653001400340653001500354653003000369100001800399700004000417700002000457700001700477700002600494700002300520700002200543700002100565700002400586700002600610700003200636700002300668700001900691700003100710700002700741856012300768       2024                        eng d  a0939-475300aCirculatory levels of lysophosphatidylcholine species in obese adolescents: Findings from cross-sectional and prospective lipidomics analyses0 aCirculatory levels of lysophosphatidylcholine species in obese a  cJUL  a1807-18160 v3410aAdolescent obesity10aAsian Indians10abiomarker10aLipidomics10aLysophosphatidyl- choline1 aSharma, Sapna1 aSubrahmanyam, Yalamanchili, Venkata1 aRanjani, Harish1 aSidra, Sidra1 aParmar, Dharmeshkumar1 aVadivel, Sangeetha1 aKannan, Shanthini1 aGrallert, Harald1 aUsharani, Dandamudi1 aAnjana, Ranjit, Mohan1 aBalasubramanyam, Muthuswamy1 aMohan, Viswanathan1 aJerzy, Adamski1 aPanchagnula, Venkateswarlu1 aGokulakrishnan, Kuppan  uhttps://library.ncl.res.in/content/circulatory-levels-lysophosphatidylcholine-species-obese-adolescents-findings-cross03451nas a2200433   4500008004100000245014700041210006900188260000900257300000800266490000700274520201300281653002002294653003402314653001702348653002202365653001702387653001502404100001802419700004002437700001702477700002302494700001702517700001702534700002402551700001302575700002002588700002602608700002602634700002102660700003202681700002302713700002302736700001902759700002502778700003102803700002402834700002702858856013202885       2025                        eng d00aPrecision integrated identification of predictive first-trimester metabolomics signatures for early detection of gestational diabetes mellitus0 aPrecision integrated identification of predictive firsttrimester  cNOV   a4340 v243 a<p>
	Background and aimGestational diabetes mellitus (GDM), a common pregnancy-related metabolic disorder, often goes undiagnosed until the second trimester, limiting early intervention opportunities. Given the higher prevalence of GDM in India, there is a critical need to investigate metabolomic biomarkers among Asian Indians, who exhibit greater insulin resistance and are predisposed to developing type 2 diabetes at an earlier age. This study aimed to identify early pregnancy metabolomic signatures predictive of GDM. MethodsAmong 2115 pregnant women from the STratification of Risk of Diabetes in Early pregnancy (STRiDE) study, we performed untargeted metabolomic profiling using UPLC-MS/MS at early pregnancy (&lt; 16 weeks) plasma samples from 100 women-comprising 50 with GDM and 50 normal (without GDM) based on oral glucose tolerance test (OGTT) at 24-28 weeks. Statistical and machine learning approaches, including logistic regression and random forest (RF), were applied to identify GDM-associated metabolites and construct predictive models. Pathway enrichment analysis was conducted using KEGG database annotations. ResultsA total of 49 metabolites were significantly associated with GDM, primarily involving lipid classes such as phosphatidylcholines, sphingomyelins, and triacylglycerols. RF analysis identified a panel of eight metabolites that achieved best predictive performance (AUC 0.880; 95% CI: 0.809-0.951) for GDM. When combined with conventional clinical risk factors, the integrated model showed comparable prediction of GDM with AUC 0.88;: 95% CI: 0.810-0.952). Enrichment analysis highlighted dysregulated pathways including glycerophospholipid and sphingolipid metabolism, autophagy, and insulin resistance. ConclusionThis study demonstrates the utility of early-pregnancy metabolomic profiling for predicting GDM in Indian women. The eight-metabolite panel offers a promising tool for early risk stratification of GDM, warranting validation in diverse populations.</p>
10aFirst trimester10aGestational diabetes mellitus10aIndian women10aMass spectrometry10aMetabolomics10aPrediction1 aSharma, Sapna1 aSubrahmanyam, Yalamanchili, Venkata1 aGupta, Payal1 aVadivel, Sangeetha1 aDeepa, Mohan1 aTandon, Ansh1 aSreedevi, Sreekumar1 aRam, Uma1 aNarad, Priyanka1 aParmar, Dharmeshkumar1 aAnjana, Ranjit, Mohan1 aRaghunathan, Anu1 aBalasubramanyam, Muthuswamy1 aMohan, Viswanathan1 aSengupta, Abhishek1 aAdamski, Jerzy1 aSaravanan, Ponnusamy1 aPanchagnula, Venkateswarlu1 aUsharani, Dandamudi1 aGokulakrishnan, Kuppan  uhttps://library.ncl.res.in/content/precision-integrated-identification-predictive-first-trimester-metabolomics-signatures-early01887nas a2200205   4500008004100000022001400041245017700055210006900232260000900301300001600310490000700326520107800333100001901411700001901430700004001449700001901489700002101508700002101529856013101550       2026                        eng d  a2470-134300aEngineering pichia pastoris as a heterologous platform for non-ribosomal peptide biosynthesis of the β-lactam intermediate δ-(L-α-Aminoadipyl)-L-cysteinyl-D-valine (ACV)0 aEngineering pichia pastoris as a heterologous platform for nonri  cJUN   a32038-320480 v113 a<p>
	The production of nonribosomal peptides (NRPs) in non-native hosts remains challenging due to the size and complexity of the biosynthetic enzymes. Here, we report the first successful reconstruction of the delta-(L-alpha-aminoadipyl)-L-cysteinyl-D-valine (ACV) pathway in Pichia pastoris. By introducing codon-optimized versions of the pcbAB and npgA genes directly into the genome, we were able to rebuild the minimal pathway required for ACV synthesis, which we confirmed using LC-MS/MS. Although the starting strain produced only small amounts of ACV (similar to 5 ng/mL), yields increased 10-fold after adaptive evolution (similar to 50 ng/mL) and further improved with precursor supplementation (similar to 60 ng/mL). Transcriptomic analysis showed that the engineered strain reorganized its metabolism to meet the energy and precursor demands of NRPS activity. Overall, this study suggests that P. pastoris can serve as a practical, proof-of-concept host for complex NRP biosynthesis and lays the groundwork for future engineering of beta-lactam pathways.</p>
1 aJogi, Shraddha1 aJagtap, Rutuja1 aSubrahmanyam, Yalamanchili, Venkata1 aSharma, Monika1 aKulkarni, Mahesh1 aRaghunathan, Anu  uhttps://library.ncl.res.in/content/engineering-pichia-pastoris-heterologous-platform-non-ribosomal-peptide-biosynthesis-%CE%B2