Benjamin Jensen

Dr. Benjamin Jensen

University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 July 2016 in Nature
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Journal Article
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HPHelle Krogh Pedersen
Helle Krogh Pedersen
VGValborg Gudmundsdottir
Valborg Gudmundsdottir
Henrik NielsenHenrik Nielsen
Henrik Nielsen
Tuulia HyötyläinenTuulia Hyötyläinen
Tuulia Hyötyläinen
TNTrine Nielsen
Trine Nielsen
OPOluf Pedersen
Oluf Pedersen

25 September 2015 in Gut
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Journal Article
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JYJun Yu
Jun Yu
QFQiang Feng
Qiang Feng
SWSunny Hei Wong
Sunny Hei Wong
DZDongya Zhang
Dongya Zhang
Jessie Qiaoyi LiangJessie Qiaoyi Liang
Jessie Qiaoyi Liang
JWJun Wang
Jun Wang
Objective To evaluate the potential for diagnosing colorectal cancer (CRC) from faecal metagenomes. Design We performed metagenome-wide association studies on faecal samples from 74 patients with CRC and 54 controls from China, and validated the results in 16 patients and 24 controls from Denmark. We further validated the biomarkers in two published cohorts from France and Austria. Finally, we employed targeted quantitative PCR (qPCR) assays to evaluate diagnostic potential of selected biomarkers in an independent Chinese cohort of 47 patients and 109 controls. Results Besides confirming known associations of Fusobacterium nucleatum and Peptostreptococcus stomatis with CRC, we found significant associations with several species, including Parvimonas micra and Solobacterium moorei. We identified 20 microbial gene markers that differentiated CRC and control microbiomes, and validated 4 markers in the Danish cohort. In the French and Austrian cohorts, these four genes distinguished CRC metagenomes from controls with areas under the receiver-operating curve (AUC) of 0.72 and 0.77, respectively. qPCR measurements of two of these genes accurately classified patients with CRC in the independent Chinese cohort with AUC=0.84 and OR of 23. These genes were enriched in early-stage (I–II) patient microbiomes, highlighting the potential for using faecal metagenomic biomarkers for early diagnosis of CRC. Conclusions We present the first metagenomic profiling study of CRC faecal microbiomes to discover and validate microbial biomarkers in ethnically different cohorts, and to independently validate selected biomarkers using an affordable clinically relevant technology. Our study thus takes a step further towards affordable non-invasive early diagnostic biomarkers for CRC from faecal samples.

29 January 2018 in Diabetologia
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TCthe IMI-DIRECT consortium
the IMI-DIRECT consortium
KAKristine H. Allin
Kristine H. Allin
VTValentina Tremaroli
Valentina Tremaroli
RCRobert Caesar
Robert Caesar
Benjamin JensenBenjamin Jensen
Benjamin Jensen
OPOluf Pedersen
Oluf Pedersen
Aims/hypothesis Individuals with type 2 diabetes have aberrant intestinal microbiota. However, recent studies suggest that metformin alters the composition and functional potential of gut microbiota, thereby interfering with the diabetes-related microbial signatures. We tested whether specific gut microbiota profiles are associated with prediabetes (defined as fasting plasma glucose of 6.1–7.0 mmol/l or HbA1c of 42–48 mmol/mol [6.0–6.5%]) and a range of clinical biomarkers of poor metabolic health. Methods In the present case–control study, we analysed the gut microbiota of 134 Danish adults with prediabetes, overweight, insulin resistance, dyslipidaemia and low-grade inflammation and 134 age- and sex-matched individuals with normal glucose regulation. Results We found that five bacterial genera and 36 operational taxonomic units (OTUs) were differentially abundant between individuals with prediabetes and those with normal glucose regulation. At the genus level, the abundance of Clostridium was decreased (mean log2 fold change −0.64 (SEM 0.23), p adj = 0.0497), whereas the abundances of Dorea, [Ruminococcus], Sutterella and Streptococcus were increased (mean log2 fold change 0.51 (SEM 0.12), p adj = 5 × 10−4; 0.51 (SEM 0.11), p adj = 1 × 10−4; 0.60 (SEM 0.21), p adj = 0.0497; and 0.92 (SEM 0.21), p adj = 4 × 10−4, respectively). The two OTUs that differed the most were a member of the order Clostridiales (OTU 146564) and Akkermansia muciniphila, which both displayed lower abundance among individuals with prediabetes (mean log2 fold change −1.74 (SEM 0.41), p adj = 2 × 10−3 and −1.65 (SEM 0.34), p adj = 4 × 10−4, respectively). Faecal transfer from donors with prediabetes or screen-detected, drug-naive type 2 diabetes to germfree Swiss Webster or conventional C57BL/6 J mice did not induce impaired glucose regulation in recipient mice. Conclusions/interpretation Collectively, our data show that individuals with prediabetes have aberrant intestinal microbiota characterised by a decreased abundance of the genus Clostridium and the mucin-degrading bacterium A. muciniphila. Our findings are comparable to observations in overt chronic diseases characterised by low-grade inflammation.

9 March 2020 in Nature Metabolism
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FAFernando F. Anhê
Fernando F. Anhê
Benjamin JensenBenjamin Jensen
Benjamin Jensen
TVThibault V. Varin
Thibault V. Varin
FSFlorence Servant
Florence Servant
SBSebastian Van Blerk
Sebastian Van Blerk
AMAndré Marette
André Marette
Visceral obesity is a key risk factor for type 2 diabetes (T2D). Whereas gut dysbiosis appears to be instrumental for this relationship, whether gut-associated signatures translocate to extra-intestinal tissues and how this affects host metabolism remain elusive. Here we provide a comparative analysis of the microbial profile found in plasma, liver and in three distinct adipose tissues of individuals with morbid obesity. We explored how these tissue microbial signatures vary between individuals with normoglycaemia and those with T2D that were matched for body mass index. We identified tissue-specific signatures with higher bacterial load in the liver and omental adipose tissue. Gut commensals, but also environmental bacteria, showed tissue- and T2D-specific compartmentalisation. T2D signatures were most evident in mesenteric adipose tissue, in which individuals with diabetes displayed reduced bacterial diversity concomitant with fewer Gram-positive bacteria, such as Faecalibacterium, as opposed to enhanced levels of typically opportunistic Gram-negative Enterobacteriaceae. Plasma samples of individuals with diabetes were similarly enriched in Enterobacteriaceae, including the pathobiont Escherichia–Shigella. Our work provides evidence for the presence of selective plasma and tissue microbial signatures in individuals with severe obesity and identifies new potential microbial targets and biomarkers of T2D.

8 December 2023 in Science
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Closed access
GSGoda Snieckute
Goda Snieckute
LRLaura Ryder
Laura Ryder
AVAnna Constance Vind
Anna Constance Vind
ZWZhenzhen Wu
Zhenzhen Wu
FAFrederic Schrøder Arendrup
Frederic Schrøder Arendrup
SBSimon Bekker-Jensen
Simon Bekker-Jensen
The ribotoxic stress response (RSR) is a signaling pathway in which the p38- and c-Jun N-terminal kinase (JNK)–activating mitogen-activated protein kinase kinase kinase (MAP3K) ZAKα senses stalling and/or collision of ribosomes. Here, we show that reactive oxygen species (ROS)–generating agents trigger ribosomal impairment and ZAKα activation. Conversely, zebrafish larvae deficient for ZAKα are protected from ROS-induced pathology. Livers of mice fed a ROS-generating diet exhibit ZAKα-activating changes in ribosomal elongation dynamics. Highlighting a role for the RSR in metabolic regulation, ZAK-knockout mice are protected from developing high-fat high-sugar (HFHS) diet-induced blood glucose intolerance and liver steatosis. Finally, ZAK ablation slows animals from developing the hallmarks of metabolic aging. Our work highlights ROS-induced ribosomal impairment as a physiological activation signal for ZAKα that underlies metabolic adaptation in obesity and aging.

7 September 2023 in Cell Reports Medicine
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Journal Article
Open access
Benjamin JensenBenjamin Jensen
Benjamin Jensen
Marc HeyndrickxMarc Heyndrickx
Marc Heyndrickx
DJDaisy Jonkers
Daisy Jonkers
AMAlan Mackie
Alan Mackie
SMSam Millet
Sam Millet
AOArthur Constantijn Ouwehand
Arthur Constantijn Ouwehand
Research on gut microbiota has generally focused on fecal samples, representing luminal content of the large intestine. However, nutrient uptake is restricted to the small intestine. Abundant immune cell populations at this anatomical site combined with diminished mucus secretion and looser junctions (partly to allow for more efficient fluid and nutrient absorption) also results in intimate host-microbe interactions despite more rapid transit. It is thus crucial to dissect key differences in both ecology and physiology between small and large intestine to better leverage the immense potential of human gut microbiota imprinting, including probiotic engraftment at biological sensible niches. Here, we provide a detailed review unfolding how the physiological and anatomical differences between the small and large intestine affect gut microbiota composition, function, and plasticity. This information is key to understanding how gut microbiota manipulation, including probiotic administration, may strain-dependently transform host-microbe interactions at defined locations.