Evidence map›Paper›PMID 42192187›Full record

SynthesisJournal of diabetes research2026

Effects of Coenzyme Q10 on Lipid, Glycemic, and Inflammatory Markers in Metabolic Disorders: A Systematic Review and Meta-Analysis.

Zhuo Zhang, Zhuo Liu, Yuli Geng, Yanjing Huang, Runan Hu, Fan Li, Yufan Song, Mingmin Zhang

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Zhuo ZhangInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.ORCID https://orcid.org/0009-0007-3369-057X
Zhuo LiuInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.
Yuli GengInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.
Yanjing HuangInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.
Runan HuInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.
Fan LiInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.
Yufan SongInstitute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.ORCID https://orcid.org/0000-0003-3498-838X
Mingmin ZhangDepartment of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.ORCID https://orcid.org/0000-0002-9356-5347

Funding

Integrated Chinese and Western Medicine of Refractory Diseases, Hubei Province
6 · The paper itself

Abstract

backgroundThe rising prevalence of metabolic disorders characterized by dyslipidemia and impaired glucose metabolism has increased interest in effective nutritional supplements. This systematic review and meta-analysis was conducted to evaluate the effects of coenzyme Q10 (CoQ10) on lipid profile, glycemic control, and inflammatory markers.

methodsPubMed, Web of Science, Scopus, Embase, Cochrane Library, and ClinicalTrials.gov were searched for eligible randomized controlled trials (RCTs). Random-effects models were applied to pool weighted mean differences (WMDs) or standardized mean differences (SMDs) with 95% confidence intervals (CIs).

resultsA total of 64 RCTs (3422 participants) were included. Lipid profile: CoQ10 supplementation significantly improved blood triglyceride (TG, WMD = -5.67 mg/dL; 95% CI: -10.57, -0.77; p = 0.023), total cholesterol (TC, WMD = -4.86 mg/dL; 95% CI: -8.41, -1.30; p = 0.007), high-density lipoprotein cholesterol (HDL-C, WMD = 1.07 mg/dL; 95% CI: 0.22, 1.92; p = 0.013), and low-density lipoprotein cholesterol (LDL-C, WMD = -3.98 mg/dL; 95% CI: -7.00, -0.97; p = 0.010). Glycemic control: CoQ10 significantly reduced hemoglobin A1C (HbA1c, WMD = -0.22%; 95% CI: -0.37, -0.06; p = 0.006), fasting glucose (WMD = -10.07 mg/dL; 95% CI: -14.75, -5.39; p < 0.001), fasting insulin (FINS, WMD = -2.94 μIU/mL; 95% CI: -4.63, -1.25; p = 0.001), and homeostasis model assessment-insulin resistance (HOMA-IR, WMD = -0.82; 95% CI: -1.36, -0.28; p = 0.003). Inflammatory markers: CoQ10 significantly decreased C-reactive protein (CRP, WMD = -0.44 mg/L; 95% CI: -0.79, -0.09; p = 0.013), tumor necrosis factor-α (TNF-α, SMD = -1.01; 95% CI: -1.56, -0.64; p = 0.013), and interleukin-6 (IL-6, SMD = -0.42; 95% CI: -0.79, -0.05; p = 0.027) levels.

conclusionsCoQ10 supplementation has beneficial effects on lipid metabolism, glycemic control, and inflammation among individuals with metabolic disorders.

Indexed as

Blood GlucoseInflammationLipidsMetabolic DiseasesUbiquinoneBiomarkersDietary SupplementsHumansRandomized Controlled Trials as TopicBiomarkersBlood Glucosecoenzyme Q10LipidsUbiquinonecoenzyme Q10glucose metabolisminflammationlipidmeta-analysis

Identifiers

PMID42192187
PMCPMC13212042

What OpenQuestion holds

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LicenceCC BY
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.