Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Meirav Pevsner-Fischer is active.

Publication


Featured researches published by Meirav Pevsner-Fischer.


Cell | 2015

Personalized Nutrition by Prediction of Glycemic Responses.

David Zeevi; Tal Korem; Niv Zmora; David Israeli; Daphna Rothschild; Adina Weinberger; Orly Ben-Yacov; Dar Lador; Tali Avnit-Sagi; Maya Lotan-Pompan; Jotham Suez; Jemal Ali Mahdi; Elad Matot; Gal Malka; Noa Kosower; Michal Rein; Gili Zilberman-Schapira; Lenka Dohnalová; Meirav Pevsner-Fischer; Rony Bikovsky; Zamir Halpern; Eran Elinav; Eran Segal

Elevated postprandial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type II diabetes, but existing dietary methods for controlling them have limited efficacy. Here, we continuously monitored week-long glucose levels in an 800-person cohort, measured responses to 46,898 meals, and found high variability in the response to identical meals, suggesting that universal dietary recommendations may have limited utility. We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals. We validated these predictions in an independent 100-person cohort. Finally, a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postprandial responses and consistent alterations to gut microbiota configuration. Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences. VIDEO ABSTRACT.


Journal of Immunology | 2005

Heat Shock Protein 60 Activates B Cells via the TLR4-MyD88 Pathway

Michal Cohen-Sfady; Gabriel Nussbaum; Meirav Pevsner-Fischer; Felix Mor; Pnina Carmi; Alexandra Zanin-Zhorov; Ofer Lider; Irun R. Cohen

We recently reported that soluble 60-kDa heat shock protein (HSP60) can directly activate T cells via TLR2 signaling to enhance their Th2 response. In this study we investigated whether HSP60 might also activate B cells by an innate signaling pathway. We found that human HSP60 (but not the Escherichia coli GroEL or the Mycobacterial HSP65 molecules) induced naive mouse B cells to proliferate and to secrete IL-10 and IL-6. In addition, the HSP60-treated B cells up-regulated their expression of MHC class II and accessory molecules CD69, CD40, and B7-2. We tested the functional ability of HSP60-treated B cells to activate an allogeneic T cell response and found enhanced secretion of both IL-10 and IFN-γ by the responding T cells. The effects of HSP60 were found to be largely dependent on TLR4 and MyD88 signaling; B cells from TLR4-mutant mice or from MyD88 knockout mice showed decreased responses to HSP60. Care was taken to rule out contamination of the HSP60 with LPS as a causative factor. These findings add B cells to the complex web of interactions by which HSP60 can regulate immune responses.


Stem Cell Reviews and Reports | 2011

The Origins of Mesenchymal Stromal Cell Heterogeneity

Meirav Pevsner-Fischer; Sarit Levin; Dov Zipori

Cultured mesenchymal stromal cell (MSC) populations are best characterized by the capacity of some cells within this population to differentiate into mesodermal derivatives such as osteoblasts, chondrocytes and adipocytes. However, this progenitor property is not shared by all cells within the MSC population. Furthermore, MSCs exhibit variability in their phenotypes, including proliferation capacity, expression of cell surface markers and ability to secrete cytokines. These facts raise three major questions: (1) Does the in vitro observed variability reflect the existence of MSC subsets in vivo? (2) What is the molecular basis of the in vitro observed heterogeneity? and (3) What is the biological significance of this variability? This review considers the possibility that the variable nature of MSC populations contributes to the capacity of adult mammalian tissues to adapt to varying microenvironmental demands.


Circulation | 2009

Patient Characteristics and Cell Source Determine the Number of Isolated Human Cardiac Progenitor Cells

Ayelet Itzhaki-Alfia; Jonathan Leor; Ehud Raanani; Leonid Sternik; Dan Spiegelstein; Shiri Netser; Radka Holbova; Meirav Pevsner-Fischer; Jacob Lavee; Israel Barbash

Background— The identification and isolation of human cardiac progenitor cells (hCPCs) offer new approaches for myocardial regeneration and repair. Still, the optimal source of human cardiac progenitor cells and the influence of patient characteristics on their number remain unclear. Using a novel method to isolate human cardiac progenitor cells, we aimed to define the optimal source and association between their number and patient characteristics. Methods and Results— We developed a novel isolation method that produced viable cells (7×106±6.53×105/g) from various tissue samples obtained during heart surgery or endomyocardial biopsies (113 samples from 94 patients 23 to 80 years of age). The isolated cardiac cells were grown in culture with a stem cell expansion medium. According to fluorescence-activated cell sorting analysis, cultured cells derived from the right atrium generated higher amounts of c-kit+ (24±2.5%) and Islet-1+ cells (7%) in culture (mean of passages 1, 2, and 3) than did cultured cells from the left atrium (7.3±3.5%), right ventricle (4.1±1.6%), and left ventricle (9.7±3%; P=0.001). According to multivariable analysis, the right atrium as the cell source and female sex were associated with a higher number of c-kit+ cells. There was no overlap between c-kit+ and Islet-1 expression. In vitro assays of differentiation into osteoblasts, adipocytes, and myogenic lineage showed that the isolated human cardiac progenitor cells were multipotent. Finally, the cells were transplanted into infarcted myocardium of rats and generated myocardial grafts. Conclusion— Our results show that the right atrium is the best source for c-kit+ and Islet-1 progenitors, with higher percentages of c-kit+ cells being produced by women.


PLOS ONE | 2008

p53 plays a role in mesenchymal differentiation programs, in a cell fate dependent manner.

Alina Molchadsky; Igor Shats; Naomi Goldfinger; Meirav Pevsner-Fischer; Melissa V. Olson; Ariel Rinon; Eldad Tzahor; Guillermina Lozano; Dov Zipori; Rachel Sarig; Varda Rotter

Background The tumor suppressor p53 is an important regulator that controls various cellular networks, including cell differentiation. Interestingly, some studies suggest that p53 facilitates cell differentiation, whereas others claim that it suppresses differentiation. Therefore, it is critical to evaluate whether this inconsistency represents an authentic differential p53 activity manifested in the various differentiation programs. Methodology/Principal Findings To clarify this important issue, we conducted a comparative study of several mesenchymal differentiation programs. The effects of p53 knockdown or enhanced activity were analyzed in mouse and human mesenchymal cells, representing various stages of several differentiation programs. We found that p53 down-regulated the expression of master differentiation-inducing transcription factors, thereby inhibiting osteogenic, adipogenic and smooth muscle differentiation of multiple mesenchymal cell types. In contrast, p53 is essential for skeletal muscle differentiation and osteogenic re-programming of skeletal muscle committed cells. Conclusions These comparative studies suggest that, depending on the specific cell type and the specific differentiation program, p53 may exert a positive or a negative effect, and thus can be referred as a “guardian of differentiation” at large.


Cell | 2016

Microbiota Diurnal Rhythmicity Programs Host Transcriptome Oscillations

Christoph A. Thaiss; Maayan Levy; Tal Korem; Lenka Dohnalová; Hagit Shapiro; Diego Jaitin; Eyal David; Deborah R. Winter; Meital Gury-BenAri; Evgeny Tatirovsky; Timur Tuganbaev; Sara Federici; Niv Zmora; David Zeevi; Mally Dori-Bachash; Meirav Pevsner-Fischer; Elena Kartvelishvily; Alexander Brandis; Alon Harmelin; Oren Shibolet; Zamir Halpern; Kenya Honda; Ido Amit; Eran Segal; Eran Elinav

The intestinal microbiota undergoes diurnal compositional and functional oscillations that affect metabolic homeostasis, but the mechanisms by which the rhythmic microbiota influences host circadian activity remain elusive. Using integrated multi-omics and imaging approaches, we demonstrate that the gut microbiota features oscillating biogeographical localization and metabolome patterns that determine the rhythmic exposure of the intestinal epithelium to different bacterial species and their metabolites over the course of a day. This diurnal microbial behavior drives, in turn, the global programming of the host circadian transcriptional, epigenetic, and metabolite oscillations. Surprisingly, disruption of homeostatic microbiome rhythmicity not only abrogates normal chromatin and transcriptional oscillations of the host, but also incites genome-wide de novo oscillations in both intestine and liver, thereby impacting diurnal fluctuations of host physiology and disease susceptibility. As such, the rhythmic biogeography and metabolome of the intestinal microbiota regulates the temporal organization and functional outcome of host transcriptional and epigenetic programs.


Science | 2015

Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples

Tal Korem; David Zeevi; Jotham Suez; Adina Weinberger; Tali Avnit-Sagi; Maya Pompan-Lotan; Elad Matot; Ghil Jona; Alon Harmelin; Nadav Cohen; Alexandra Sirota-Madi; Christoph A. Thaiss; Meirav Pevsner-Fischer; Rotem Sorek; Ramnik J. Xavier; Eran Elinav; Eran Segal

Estimating bacterial growth dynamics The pattern of sequencing read coverage of bacteria in metagenomic samples reflects the growth rate. This pattern is predictive of growth because bacterial genomes are circular, with a single origin of replication. So during growth, copies of the genome accumulate at the origin. Korem et al. use the ratio of copy number at the origin to the copy number at the terminus to detect the actively growing species in a microbiome (see the Perspective by Segre). They could spot the difference between virulent and avirulent strains, population diurnal oscillations, species that are growing in irritable bowel disease, and what happens when a hosts diet changes. Results were consistent in chemostats, in mice, and in human fecal samples. Science, this issue p. 1101; see also p. 1058 A new method provides a quantitative measure of the growth rate of multiple gut microbes in one go. [Also see Perspective by Segre] Metagenomic sequencing increased our understanding of the role of the microbiome in health and disease, yet it only provides a snapshot of a highly dynamic ecosystem. Here, we show that the pattern of metagenomic sequencing read coverage for different microbial genomes contains a single trough and a single peak, the latter coinciding with the bacterial origin of replication. Furthermore, the ratio of sequencing coverage between the peak and trough provides a quantitative measure of a species’ growth rate. We demonstrate this in vitro and in vivo, under different growth conditions, and in complex bacterial communities. For several bacterial species, peak-to-trough coverage ratios, but not relative abundances, correlated with the manifestation of inflammatory bowel disease and type II diabetes.


Journal of Immunology | 2007

Cutting edge: T cells respond to lipopolysaccharide innately via TLR4 signaling.

Alexandra Zanin-Zhorov; Guy Tal-Lapidot; Liora Cahalon; Michal Cohen-Sfady; Meirav Pevsner-Fischer; Ofer Lider; Irun R. Cohen

LPS, a molecule produced by Gram-negative bacteria, is known to activate both innate immune cells such as macrophages and adaptive immune B cells via TLR4 signaling. Although TLR4 is also expressed on T cells, LPS was observed not to affect T cell proliferation or cytokine secretion. We now report, however, that LPS can induce human T cells to adhere to fibronectin via TLR4 signaling. This response to LPS was confirmed in mouse T cells; functional TLR4 and MyD88 were required, but T cells from TLR2 knockout mice could respond to LPS. The human T cell response to LPS depended on protein kinase C signaling and involved the phosphorylation of the proline-rich tyrosine kinase (Pyk-2) and p38. LPS also up-regulated the T cell expression of suppressor of cytokine signaling 3, which led to inhibition of T cell chemotaxis toward the chemokine stromal cell-derived factor 1α (CXCL12). Thus, LPS, through TLR4 signaling, can affect T cell behavior in inflammation.


Nature | 2018

Environment dominates over host genetics in shaping human gut microbiota

Daphna Rothschild; Omer Weissbrod; Elad Barkan; Alexander Kurilshikov; Tal Korem; David Zeevi; Paul Igor Costea; Anastasia Godneva; Iris Nati Kalka; Noam Bar; Smadar Shilo; Dar Lador; Arnau Vich Vila; Niv Zmora; Meirav Pevsner-Fischer; David Israeli; Noa Kosower; Gal Malka; Bat Chen Wolf; Tali Avnit-Sagi; Maya Lotan-Pompan; Adina Weinberger; Zamir Halpern; Shai Carmi; Jingyuan Fu; Cisca Wijmenga; Alexandra Zhernakova; Eran Elinav; Eran Segal

Human gut microbiome composition is shaped by multiple factors but the relative contribution of host genetics remains elusive. Here we examine genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment, and demonstrate that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition. We show that, by contrast, there are significant similarities in the compositions of the microbiomes of genetically unrelated individuals who share a household, and that over 20% of the inter-person microbiome variability is associated with factors related to diet, drugs and anthropometric measurements. We further demonstrate that microbiome data significantly improve the prediction accuracy for many human traits, such as glucose and obesity measures, compared to models that use only host genetic and environmental data. These results suggest that microbiome alterations aimed at improving clinical outcomes may be carried out across diverse genetic backgrounds.


Journal of Immunology | 2008

Pneumococcal Capsular Polysaccharide Is Immunogenic When Present on the Surface of Macrophages and Dendritic Cells: TLR4 Signaling Induced by a Conjugate Vaccine or by Lipopolysaccharide Is Conducive

Noam Cohen; Michal Stolarsky-Bennun; Hila Amir-Kroll; Raanan Margalit; Gabriel Nussbaum; Michal Cohen-Sfady; Meirav Pevsner-Fischer; Mati Fridkin; Herve Bercovier; Lea Eisenbach; Steffen Jung; Irun R. Cohen

Previously, we reported that a peptide, p458, from the sequence of the mammalian 60-kDa heat shock protein (hsp60) molecule can serve as a carrier in conjugate vaccines with capsular polysaccharide (CPS) molecules of various bacteria. These conjugate vaccines were effective injected in PBS without added adjuvants. We now report that p458 conjugated to pneumococcal CPS type 4 (PS4) manifests innate adjuvant effects: it stimulated mouse macrophages to secrete IL-12 and induced the late appearance of PS4 on the macrophage surface in a TLR4-dependent manner; PS4 alone or conjugated to other carriers did not stimulate macrophages in vitro. The injection of macrophages manifesting PS4 on the surface into mice induced long-term resistance to lethal Streptococcus pneumoniae challenge. The TLR4 ligand LPS could also induce the late appearance on the surface of unconjugated PS4 and resistance to challenge in injected mice. Resistance was not induced by macrophages containing only internalized PS4 or by pulsed macrophages that had been lysed. Glutaraldehyde-fixed macrophages pulsed with PS4 did induce resistance to lethal challenge. Moreover, bone marrow-derived dendritic cells activated by LPS and pulsed with unconjugated CPS were also effective in inducing resistance to lethal challenge. Resistance induced by the PS4-pulsed bone marrow-derived dendritic cell was specific for pneumococcal CPS serotypes (type 3 or type 4) and was associated with the induction of CPS-specific IgG and IgM Abs.

Collaboration


Dive into the Meirav Pevsner-Fischer's collaboration.

Top Co-Authors

Avatar

Eran Elinav

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Irun R. Cohen

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Dov Zipori

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Eran Segal

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Niv Zmora

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Alon Harmelin

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Zamir Halpern

Tel Aviv Sourasky Medical Center

View shared research outputs
Top Co-Authors

Avatar

David Zeevi

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar

Tal Korem

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge