Evidence map›Paper›PMID 40170727›Full record

ArticleFrontiers in pharmacology2025

Yang Niu, Hongjuan Niu, Luxuan Chi, Peihang Li, Jiyang Du, Xiaoqian Wang, Xu He, Binan Lu, Zongran Pang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Yang Niu *Key Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.
Hongjuan Niu *State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Luxuan ChiKey Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.
Peihang LiKey Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.
Jiyang DuKey Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.
Xiaoqian WangKey Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.
Xu HePharmacy Department, People's Hospital of Dali Bai Autonomous Prefecture, Dali, China.
Binan LuKey Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.
Zongran PangKey Laboratory of Ethnic Medicine in Ministry of Education, School of Pharmacy in Minzu University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Methods: The pharmacodynamic effects of HLB were initially evaluated in a murine DN model through the oral administration of an aqueous extract of HLB. The primary bioactive constituents were subsequently identified using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS). Network pharmacology analysis was integrated with these data to uncover potential molecular targets of HLB in DN. Key renal metabolites were profiled using untargeted metabolomics, followed by metabolic pathway enrichment analysis conducted with the MetaboAnalyst 6.0 platform, which facilitated the identification of relevant metabolic pathways through which HLB modulates DN. Finally, quantitative real-time polymerase chain reaction (QRT-PCR) and Western blot (WB) techniques were employed to validate the expression levels of key genes and proteins, thereby confirming the molecular mechanisms underlying the effects of HLB in DN. Results: Animal experiments indicated that HLB significantly improved blood glucose regulation and renal function while reducing oxidative stress and abnormalities in lipid metabolism in diabetic mice. A total of 34 compounds and 159 potential therapeutic targets were identified as key active components of HLB. The untargeted metabolomics analysis revealed 61 critical metabolites, among which the PI3K-Akt-ERK signaling pathway-known to be involved in diabetes-was highlighted as a crucial pathway. QRT-PCR and WB analyses demonstrated that HLB upregulated the expression of MAPK1, MAPK3, AKT1, and PI3K. Conclusion: These results suggest that HLB may alleviate DN by modulating oxidative stress and lipid metabolism. Its effects are likely mediated through the PI3K-Akt-ERK signaling pathway, along with the upregulation of MAPK1, MAPK3, AKT1, and PI3K expression. This study lays the groundwork for further investigations into the molecular mechanisms underlying HLB's action in DN.

Indexed as

diabetic nephropathynetwork pharmacologyPI3K-Akt-ERK pathwayTrigonella foenum-graecum L.untargeted metabolomics

Identifiers

PMID40170727
PMCPMC11959092

What OpenQuestion holds

Textmetadata
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.