Evidence map›Paper›PMID 33116716›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Association of the HDL-c Level with HsCRP, IL-6, U-NAG, RBP and Cys-C in Type 2 Diabetes Mellitus, Hypertension, and Chronic Kidney Disease: An Epidemiological Survey.

Xiaolin Li, Ting Su, Hua Xiao, Peichun Gao, Chongxiang Xiong, Jinghua Liu, Hequn Zou

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. 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
–field-weighted citation impact
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.

  1. Article
  2. BOLD MRI to Evaluate the Effects of Sacubitril/Valsartan on Renal Protection in Type 2 Diabetics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  3. Article
  4. Review
  5. Apolipoprotein D modulates lipid mediators and osteopontin in an anti-inflammatory direction.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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

7 authors.

Xiaolin LiDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Ting SuGuangdong Provincial Key Laboratory of Proteomics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, People's Republic of China.
Hua XiaoDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Peichun GaoSchool of Public Health, Southern Medical University, Guangzhou 510080, People's Republic of China.
Chongxiang XiongDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Jinghua LiuGuangdong Provincial Key Laboratory of Proteomics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, People's Republic of China.ORCID 0000-0001-5010-7963
Hequn ZouDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the association between the anti-inflammatory and renal protective roles of high-density lipoprotein cholesterol (HDL-c) and its different levels in type 2 diabetes mellitus (T2D), hypertension (HTN), and chronic kidney disease (CKD) and to lay a theoretical basis for precise, maximum-benefit HDL-c-raising therapy for patients with these diseases. PATIENTS AND

methodsA total of 2127 participants (195 with T2D, 618 with HTN, 162 with CKD, and 1152 controls) were selected and divided into four groups according to their baseline HDL-c level, namely, low HDL-c (L-HDL-c, ≤1.03 mmol/L), medium HDL-c (M-HDL-c, 1.04-1.55 mmol/L), high HDL-c (H-HDL-c, 1.56-2.05 mmol/L) and extremely high HDL-c (E-HDL-c, ≥ 2.06 mmol/L). Serum and morning urine samples were collected to analyze the correlation between high-sensitivity C-reactive protein (HsCRP), interleukin-6 (IL-6), urine n-acetyl-β-d-glucosidase (U-NAG), retinol binding protein (RBP), and cystatin c (Cys-C) levels with the HDL-c levels.

resultsThe HDL-c levels of patients with T2D, HTN and CKD were universally lower than those in the control group in both sexes (

conclusionExistence of substantial differences in HDL-c levels between different types of disease and sex highlighted that a higher HDL level does not always predict a better clinical outcome of patients. Moreover, we found that both HsCRP and RBP correlated negatively with HDL-c in HTN patients, indicating that monitoring HsCRP and RBP may serve as indicators for therapeutic efficacy of HDL-c-raising medications in HTN patients.

Indexed as

anti-inflammationfunctional heterogeneityhigh-density lipoprotein cholesterolrenal protectionsex difference

Identifiers

PMID33116716
PMCPMC7568590

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.