Evidence map›Paper›PMID 39231358›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

A Single-Cell Metabolic Profiling Characterizes Human Aging via SlipChip-SERS.

Fugang Liu, Jiaqing Liu, Yang Luo, Siyi Wu, Xu Liu, Haoran Chen, Zhewen Luo, Haitao Yuan, Feng Shen, Fangfang Zhu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  11. A Single-Cell Metabolic Profiling Characterizes Human Aging via SlipChip-SERS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

11 authors.

Fugang LiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Jiaqing LiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Yang LuoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Siyi WuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Xu LiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Haoran ChenSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Zhewen LuoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Haitao YuanSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Feng ShenSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Fangfang ZhuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Jian YeSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.ORCID 0000-0002-8101-8362

Funding

National Natural Science Foundation of China 81773115National Natural Science Foundation of China 82272054Shanghai Jiao Tong University YG2022ZD016Shanghai Jiao Tong University YG2024LC09
6 · The paper itself

Abstract

Metabolic dysregulation is a key driver of cellular senescence, contributing to the progression of systemic aging. The heterogeneity of senescent cells and their metabolic shifts are complex and unexplored. A microfluidic SlipChip integrated with surface-enhanced Raman spectroscopy (SERS), termed SlipChip-SERS, is developed for single-cell metabolism analysis. This SlipChip-SERS enables compartmentalization of single cells, parallel delivery of saponin and nanoparticles to release intracellular metabolites and to realize SERS detection with simple slipping operations. Analysis of different cancer cell lines using SlipChip-SERS demonstrated its capability for sensitive and multiplexed metabolic profiling of individual cells. When applied to human primary fibroblasts of different ages, it identified 12 differential metabolites, with spermine validated as a potent inducer of cellular senescence. Prolonged exposure to spermine can induce a classic senescence phenotype, such as increased senescence-associated β-glactosidase activity, elevated expression of senescence-related genes and reduced LMNB1 levels. Additionally, the senescence-inducing capacity of spermine in HUVECs and WRL-68 cells is confirmed, and exogenous spermine treatment increased the accumulation and release of H

Indexed as

Cellular SenescenceSingle-Cell AnalysisSpectrum Analysis, RamanAgingFibroblastsHumansSpermineSpermineagingmetabolic profilingsingle‐cellSlipChipsurface‐enhanced Raman spectroscopy

Identifiers

PMID39231358
PMCPMC11538647

What Socratic 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 Socratic graph.