Evidence map›Paper›PMID 34732537›Full record

ArticleDiabetes2022

Metabolic and Metabo-Clinical Signatures of Type 2 Diabetes, Obesity, Retinopathy, and Dyslipidemia.

Noha A Yousri, Karsten Suhre, Esraa Yassin, Alya Al-Shakaki, Amal Robay, Maha Elshafei, Omar Chidiac, Steven C Hunt, Ronald G Crystal, Khalid A Fakhro

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 3% 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

69 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Dynamic Metabolic Changes Driven by Exercise Intensity in Acute Swimming.Medicine and science in sports and exercise · 2025
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  20. Evaluation of Commercial Carob Syrups (Foods (Basel, Switzerland) · 2025
    Article

9 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 3 countries.

Noha A YousriGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.ORCID 0000-0003-1918-0331
Karsten SuhrePhysiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar.
Esraa YassinGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
Alya Al-ShakakiGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
Amal RobayGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
Maha ElshafeiHamad Medical Corporation, Doha, Qatar.
Omar ChidiacGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
Steven C HuntGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
Ronald G CrystalGenetic Medicine, Weill Cornell Medicine, New York, NY.
Khalid A FakhroGenetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
Weill Cornell Medical College in Qatar · QACornell University · USHamad Medical Corporation · QASidra Medical and Research Center · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macro- and microvascular complications of type 2 diabetes (T2D), obesity, and dyslipidemia share common metabolic pathways. In this study, using a total of 1,300 metabolites from 996 Qatari adults (57% with T2D) and 1,159 metabolites from an independent cohort of 2,618 individuals from the Qatar BioBank (11% with T2D), we identified 373 metabolites associated with T2D, obesity, retinopathy, dyslipidemia, and lipoprotein levels, 161 of which were novel. Novel metabolites included phospholipids, sphingolipids, lysolipids, fatty acids, dipeptides, and metabolites of the urea cycle and xanthine, steroid, and glutathione metabolism. The identified metabolites enrich pathways of oxidative stress, lipotoxicity, glucotoxicity, and proteolysis. Second, we identified 15 patterns we defined as "metabo-clinical signatures." These are clusters of patients with T2D who group together based on metabolite levels and reveal the same clustering in two or more clinical variables (obesity, LDL, HDL, triglycerides, and retinopathy). These signatures revealed metabolic pathways associated with different clinical patterns and identified patients with extreme (very high/low) clinical variables associated with extreme metabolite levels in specific pathways. Among our novel findings are the role of N-acetylmethionine in retinopathy in conjunction with dyslipidemia and the possible roles of N-acetylvaline and pyroglutamine in association with high cholesterol levels and kidney function.

Indexed as

AdultAgedAged, 80 and overBody Mass IndexCohort StudiesDiabetes ComplicationsDiabetes Mellitus, Type 2Diabetic RetinopathyDyslipidemiasFemaleHumansInsulin ResistanceMaleMetabolomeMetabolomicsMiddle Aged

Identifiers

PMID34732537
PMCPMC8914294
OpenAlexW3210686555

What OpenQuestion holds

Textmetadata
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.