Evidence map›Paper›PMID 37897362›Full record

ArticleNucleic acids research2024

MACC: a visual interactive knowledgebase of metabolite-associated cell communications.

Jian Gao, Saifeng Mo, Jun Wang, Mou Zhang, Yao Shi, Chuhan Zhu, Yuxuan Shang, Xinyue Tang, Shiyue Zhang, Xinwen Wu and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

18 authors at 3 institutions in 2 countries.

Jian GaoSchool of Life Sciences, Fudan University, Shanghai, China.ORCID 0000-0002-0446-7471
Saifeng MoDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Jun WangSchool of Life Sciences, Fudan University, Shanghai, China.
Mou ZhangSchool of Life Sciences, Fudan University, Shanghai, China.
Yao ShiSchool of Life Sciences, Fudan University, Shanghai, China.
Chuhan ZhuDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Yuxuan ShangBiological Sciences, University of California Santa Barbara, CA, USA.
Xinyue TangDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Shiyue ZhangSchool of Life Sciences, Fudan University, Shanghai, China.
Xinwen WuDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Xinyan XuDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Yiheng WangSchool of Life Sciences, Fudan University, Shanghai, China.
Zihao LiDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Genhui ZhengDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.ORCID 0000-0001-5380-2435
Zikun ChenDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Qiming WangSchool of Life Sciences, Fudan University, Shanghai, China.
Kailin TangDept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.ORCID 0000-0002-0508-6056
Zhiwei CaoSchool of Life Sciences, Fudan University, Shanghai, China.ORCID 0000-0003-1165-1928
Tongji University · CNFudan University · CNUniversity of California, Santa Barbara · US

Funding

National Key R&D Program of China 2019YFA0905900National Natural Science Foundation of China 32070657
6 · The paper itself

Abstract

Metabolite-associated cell communications play critical roles in maintaining the normal biological function of human through coordinating cells, organs and physiological systems. Though substantial information of MACCs has been continuously reported, no relevant database has become available so far. To address this gap, we here developed the first knowledgebase (MACC), to comprehensively describe human metabolite-associated cell communications through curation of experimental literatures. MACC currently contains: (a) 4206 carefully curated metabolite-associated cell communications pairs involving 244 human endogenous metabolites and reported biological effects in vivo and in vitro; (b) 226 comprehensive cell subtypes and 296 disease states, such as cancers, autoimmune diseases, and pathogenic infections; (c) 4508 metabolite-related enzymes and transporters, involving 542 pathways; (d) an interactive tool with user-friendly interface to visualize networks of multiple metabolite-cell interactions. (e) overall expression landscape of metabolite-associated gene sets derived from over 1500 single-cell expression profiles to infer metabolites variations across different cells in the sample. Also, MACC enables cross-links to well-known databases, such as HMDB, DrugBank, TTD and PubMed etc. In complement to ligand-receptor databases, MACC may give new perspectives of alternative communication between cells via metabolite secretion and adsorption, together with the resulting biological functions. MACC is publicly accessible at: http://macc.badd-cao.net/.

Indexed as

Cell CommunicationDiseaseKnowledge BasesMetabolomeHumans

Identifiers

PMID37897362
PMCPMC10767829
OpenAlexW4388007456

What OpenQuestion holds

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LicenceCC BY-NC
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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.