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Thomas Hankemeier

Professor at Leiden University

Leiden University
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Netherlands

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Positions (1)

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Thomas Hankemeier

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Leiden University

Postdoctoral Researcher: Microfluidic Segmented Flow for High-Throughput NMR

The Metabolomics and Analytics Center (MAC) at Leiden University is seeking a Postdoctoral Researcher to advance research in microfluidic segmented flow for high-throughput NMR and metabolomics. This innovative project aims to develop a biotechnology screening platform for molecular profiling, bridging multiple scientific fields and applications. Building on previous collaborations with dsm-firmenich, the team has developed automated systems for stopped flow injection and NMR detection of metabolites, featuring robotics, custom flow cells, and precise fluidic control. The successful candidate will focus on upgrading automation control and deepening understanding of microfluidics, specifically the stability of organic solvent slugs in push solvents and flow-cell design. Responsibilities include developing novel NMR flow-cells, enhancing the automation of liquid handling robotics (including pump control, slug detection, and feedback loops), and demonstrating the improved system's potential in biotechnology and human health applications. The research will be conducted in collaboration with the Analytical Sciences department of dsm-firmenich in Delft, where two systems for segmented flow high-throughput NMR are installed. Applicants must have a PhD in analytical chemistry, microfluidics, chemical engineering, robotics, biomedical engineering, or a related field. Experience in microfluidics, especially segmented slug flow, is essential. Programming proficiency (Python and LabView preferred), and an interest in metabolomics, programming, and NMR are desired. Good to excellent English proficiency is required. The MAC is a pioneer in metabolomics, combining advanced technologies, innovative sample preparation, robotics, and computational expertise. The Faculty of Science at Leiden University offers a dynamic international environment, and the LACDR is a leading drug research institute. The position is full-time for one year, with possible extension up to four years based on performance and compatibility. Salary ranges from €3546 to €5538 gross per month, plus holiday and end-of-year bonuses, training, and career development opportunities. Employment conditions follow the Dutch Universities' Collective Labour Agreement. Leiden University values an inclusive academic community where all staff and students are respected and can fully develop their talents. For further information, contact Prof. Dr. Thomas Hankemeier ([email protected]). Applications must be submitted online, including a motivation letter and full CV, quoting the vacancy number. Only applications received before May 15, 2026 will be considered.

3 months ago

Articles (17)

Association of Altered Plasma Lipidome with Disease Severity in COVID-19 Patients

The severity of COVID-19 is linked to an imbalanced immune response. The dysregulated metabolism of small molecules and bioactive lipids has also been associated with disease severity. To promote understanding of the disease biochemistry and provide targets for intervention, we applied a range of LC-MS platforms to analyze over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). This is the third publication in a series, and it reports the results of comprehensive lipidome profiling using targeted LC-MS/MS. We identified 1076 lipid features across 25 subclasses, including glycerophospholipids, sterols, glycerolipids, and sphingolipids, among which 531 lipid features were dramatically changed in the plasma of intensive care unit (ICU) patients compared to patients in the ward. Patients in the ICU showed 1.3–57-fold increases in ceramides, (lyso-)glycerophospholipids, diglycerides, triglycerides, and plasmagen phosphoethanolamines, and 1.3–2-fold lower levels of a cyclic lysophosphatidic acid, sphingosine-1-phosphates, sphingomyelins, arachidonic acid-containing phospholipids, lactosylceramide, and cholesterol esters compared to patients in the ward. Specifically, phosphatidylinositols (PIs) showed strong fatty acid saturation-dependent behavior, with saturated fatty acid (SFA)- and monosaturated fatty acid (MUFA)-derived PI decreasing and polystaturated (PUFA)-derived PI increasing. We also found ~4000 significant Spearman correlations between lipids and multiple clinical markers of immune response with |R| ≥ 0.35 and FDR corrected Q < 0.05. Except for lysophosphatidic acid, lysophospholipids were positively associated with the CD4 fraction of T cells, and the cytokines IL-8 and IL-18. In contrast, sphingosine-1-phosphates were negatively correlated with innate immune markers such as CRP and IL-6. Further indications of metabolic changes in moderate COVID-19 disease were demonstrated in recovering ward patients compared to those at the start of hospitalization, where 99 lipid species were altered (6 increased by 30–62%; 93 decreased by 1.3–2.8-fold). Overall, these findings support and expand on early reports that dysregulated lipid metabolism is involved in COVID-19.

Year:

2024

Status of Metabolomic Measurement for Insights in Alzheimer’s Disease Progression—What Is Missing?

Alzheimer’s disease (AD) is an aging-related neurodegenerative disease, leading to the progressive loss of memory and other cognitive functions. As there is still no cure for AD, the growth in the number of susceptible individuals represents a major emerging threat to public health. Currently, the pathogenesis and etiology of AD remain poorly understood, while no efficient treatments are available to slow down the degenerative effects of AD. Metabolomics allows the study of biochemical alterations in pathological processes which may be involved in AD progression and to discover new therapeutic targets. In this review, we summarized and analyzed the results from studies on metabolomics analysis performed in biological samples of AD subjects and AD animal models. Then this information was analyzed by using MetaboAnalyst to find the disturbed pathways among different sample types in human and animal models at different disease stages. We discuss the underlying biochemical mechanisms involved, and the extent to which they could impact the specific hallmarks of AD. Then we identify gaps and challenges and provide recommendations for future metabolomics approaches to better understand AD pathogenesis.

Year:

2023

Collaborators (16)

Ahmed Ali

Assistant Professor

Leiden University

NETHERLANDS

ROBERT HALL

Professor

Wageningen UR

NETHERLANDS

Anton W. Langerak

-

NETHERLANDS

Vincenzo Corbo

Group Leader/Assistant Professor

University of Verona

ITALY

Agnieszka Wegrzyn

CEO, Head of Technology and Founder

-

NETHERLANDS

Ines Thiele

National University of Ireland Galway

IRELAND

Alida Kindt-Dunjko

Leiden University

NETHERLANDS

Wei Yang

Leiden University

NETHERLANDS

Willem A. Dik

-

NETHERLANDS

J.G.C. van Hasselt

Associate professor

Leiden University

NETHERLANDS

Anton Jan van Zonneveld

Leiden University Medical Center

NETHERLANDS

Ronan MT Fleming

Associate Professor

University of Galway

IRELAND

Elizabeth C. M. de Lange

Leiden University

NETHERLANDS

Amy Harms

Leiden University

NETHERLANDS

Yupeng He

Leiden University

NETHERLANDS

Laura Bertien Zwep

Assistant professor Statistics and Pharmacometrics

Leiden University

NETHERLANDS
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