Evidence map›Paper›PMID 26335111›Full record

ArticleCritical care medicine2015

Imaging Lymphoid Cell Death In Vivo During Polymicrobial Sepsis.

Lin Zou, Howard H Chen, Dan Li, Ganqiong Xu, Yan Feng, Chan Chen, Larry Wang, David E Sosnovik, Wei Chao

Abstract readComparative Study
In one paragraph

Article in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Lin Zou1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA. 2Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA. 3Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA.
Howard H Chen
Dan Li
Ganqiong Xu
Yan Feng
Chan Chen
Larry Wang
David E Sosnovik
Wei Chao
Massachusetts General Hospital · USHarvard University · USChildren's Hospital of Los Angeles · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Cardiac MRI-Tractography In Vivo: Integrated Imaging of Structure and FunctionR01HL112831 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SOSNOVIK, DAVID E · 2013 to 2016
$3.0M
Molecular and Microstructural Imaging of Cardiomyocyte Apoptosis and AutophagyR01HL093038 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SOSNOVIK, DAVID E · 2008 to 2012
$2.2M
Role of TLR-cfB Signaling in SepsisR01GM097259 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI CHAO, WEI · 2012 to 2015
$1.9M
Multiplexed Molecular Imaging of Cell Death PathwaysR00HL121152 · NHLBI · TUFTS MEDICAL CENTER · PI CHEN, HOWARD H. · 2017 to 2019
$747k
Multiplexed Molecular Imaging of Cell Death PathwaysK99HL121152 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI CHEN, HOWARD H. · 2014 to 2015
$298k
NHLBI NIH HHS HL093038NHLBI NIH HHS HL112831NHLBI NIH HHS K99 HL121152NHLBI NIH HHS R00 HL121152NHLBI NIH HHS R01 HL093038NHLBI NIH HHS R01 HL112831NIDDK NIH HHS DK043351NIDDK NIH HHS P30 DK043351NIGMS NIH HHS GM097259NIGMS NIH HHS R01 GM097259
6 · The paper itself

Abstract

objectivesCell death in lymphatic organs, such as the spleen, is in part responsible for immunosuppression and contributes to mortality during sepsis. An early and noninvasive detection of lymphoid cell death could thus have significant clinical implications. Here, we tested in vivo imaging of lymphoid cell death using a near-infrared annexin V (AV-750).

designAnimal study.

settingLaboratory investigation. SUBJECTS: C57BL/6J wild-type and toll-like receptor 3 knockout mice.

interventionsMild and severe polymicrobial sepsis was induced with cecum ligation and puncture. Serum cytokines and acute kidney injury markers were tested by immunoassay and quantitative reverse transcription-polymerase chain reaction, respectively. Sepsis-induced lymphoid cell death was detected by fluorescent AV-750 accumulation in the thorax and abdomen (in vivo), in isolated organs (ex vivo), and in isolated cells (flow cytometry). Caspase-3 cleavage/activity and terminal deoxynucleotidyl transferase dUTP nick-end labeling staining were tested for apoptosis. MEASUREMENTS AND MAIN

resultsSevere sepsis induced marked apoptosis in the thymus, spleen, and liver as demonstrated by cleaved caspase-3 and an increase in caspase-3 activity and terminal deoxynucleotidyl transferase dUTP nick-end labeling-positive cells. A significant increase in fluorescent AV-750 signal was seen in the thoracic and upper abdominal fields and associated with the severity of sepsis. The in vivo thoracic and abdominal AV-750 fluorescent signal was attributed to the thymus, liver, and spleen as determined by ex vivo imaging and highly correlated with the levels of cell death in thymocytes and splenocytes, respectively, as measured by flow cytometry. Compared with wild-type septic mice, toll-like receptor 3 septic mice had attenuated abdominal AV-750 fluorescent signal, reduced ex vivo fluorescence in the spleen, and decreased splenocyte cell death.

conclusionsIn vivo AV-750 fluorescent imaging provides spatially resolved and organ-specific detection of lymphoid cell death during polymicrobial sepsis. The AV-750 fluorescent intensity in the thoracic and abdominal fields is associated with sepsis severity and well correlated with sepsis-induced cell death in the thymus and spleen, respectively.

Indexed as

Cell DeathAnalysis of VarianceAnimalsApoptosisBacteremiaBlotting, WesternCaspase 3CoinfectionDisease Models, AnimalFemaleFlow CytometryIn Situ Nick-End LabelingLymphocytesMaleMiceMice, Inbred C57BLCaspase 3

Identifiers

PMID26335111
PMCPMC6889962
OpenAlexW1418182532

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.