Evidence map›Paper›PMID 26752499›Full record

ArticleAnalytical chemistry2016

Noninvasive Detection of Inflammatory Changes in White Adipose Tissue by Label-Free Raman Spectroscopy.

Abigail S Haka, Erika Sue, Chi Zhang, Priya Bhardwaj, Joshua Sterling, Cassidy Carpenter, Madeline Leonard, Maryem Manzoor, Jeanne Walker, Jose O Aleman and 10 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

Abigail S HakaDepartment of Biochemistry, Weill Cornell Medical College , New York, New York 10065, United States.
Erika SueDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Chi ZhangDepartment of Mechanical Engineering, Johns Hopkins University , Baltimore, Maryland 21218, United States.
Priya BhardwajDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Joshua SterlingDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Cassidy CarpenterDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Madeline LeonardDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Maryem ManzoorDepartment of Biochemistry, Weill Cornell Medical College , New York, New York 10065, United States.
Jeanne WalkerLaboratory of Biochemical Genetics and Metabolism, The Rockefeller University , New York, New York 10065, United States.
Jose O AlemanLaboratory of Biochemical Genetics and Metabolism, The Rockefeller University , New York, New York 10065, United States.
Daniel GareauDepartment of Investigative Dermatology, The Rockefeller University , New York, New York 10065, United States.
Peter R HoltLaboratory of Biochemical Genetics and Metabolism, The Rockefeller University , New York, New York 10065, United States.
Jan L BreslowLaboratory of Biochemical Genetics and Metabolism, The Rockefeller University , New York, New York 10065, United States.
Xi Kathy ZhouDepartment of Healthcare Policy and Research, Weill Cornell Medical College , New York, New York 10065, United States.
Dilip GiriDepartment of Pathology, Memorial Sloan Kettering Cancer Center , New York, New York 10065, United States.
Monica MorrowDepartment of Surgery, Memorial Sloan Kettering Cancer Center , New York, New York 10065, United States.
Neil IyengarDepartment of Medicine, Memorial Sloan Kettering Cancer Center , New York, New York 10065, United States.
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University , Baltimore, Maryland 21218, United States.
Clifford A HudisDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Andrew J DannenbergDepartment of Medicine, Weill Cornell Medical College , New York, New York 10065, United States.
Cornell University · USRockefeller University · USMemorial Sloan Kettering Cancer Center · USJohns Hopkins University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
Transforming Translational Science and Education to Benefit Human HealthUL1TR000043 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2012 to 2015
$26.8M
Wide-Field Short-Wave Infrared (SWIR) multiphoton (MP) tissue imagingP41EB015871 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2012 to 2021
$11.3M
Macrophage-Lipoprotein InteractionsR01HL093324 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MAXFIELD, FREDERICK R. · 2009 to 2025
$6.7M
NCATS NIH HHS UL1 TR000043NCATS NIH HHS UL1TR000043NCATS NIH HHS UL1 TR000457NCATS NIH HHS UL1TR000457NCI NIH HHS P30 CA008748NHLBI NIH HHS 5R01 HL093324-07NHLBI NIH HHS R01 HL093324NIBIB NIH HHS 5P41EB015871-28NIBIB NIH HHS P41 EB015871
6 · The paper itself

Abstract

White adipose tissue inflammation (WATi) has been linked to the pathogenesis of obesity-related diseases, including type 2 diabetes, cardiovascular disease, and cancer. In addition to the obese, a substantial number of normal and overweight individuals harbor WATi, putting them at increased risk for disease. We report the first technique that has the potential to detect WATi noninvasively. Here, we used Raman spectroscopy to detect WATi with excellent accuracy in both murine and human tissues. This is a potentially significant advance over current histopathological techniques for the detection of WATi, which rely on tissue excision and, therefore, are not practical for assessing disease risk in the absence of other identifying factors. Importantly, we show that noninvasive Raman spectroscopy can diagnose WATi in mice. Taken together, these results demonstrate the potential of Raman spectroscopy to provide objective risk assessment for future cardiometabolic complications in both normal weight and overweight/obese individuals.

Indexed as

Adipose Tissue, WhiteAnimalsDisease Models, AnimalFemaleHumansInflammationMaleMiceMice, Inbred C57BLObesitySpectrum Analysis, Raman

Identifiers

PMID26752499
PMCPMC4799653
OpenAlexW2236385954

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.