Why GMAHD ?

Gut microbes have a crucial impact on our health and disease, a systemic understanding of its relationships with disease is desiderated. There is HMDAD to figure out what microbe affects positively (or negatively) which disease, but for more comprehensive and indepth study of their mechanisms, we need to explore how and why the microbe affects the human disease. Herein, we developed GMAHD, the first online resource which summarizes studys of mechanisms in correlation of gut microbes and disease till April 17th, 2018. In every GMAHD entry, we generalized the information from literature then described it both in text and in picture, which is drew by hand to summarize how gut microbe affects human disease. We slao provide metabolic information of disease associated strains, for that most gut microbes exert influence on human's body through their metabolites. Anyway, GMAHD will help to promote understanding and exploring interactive relationships between gut microbes and human disease, even puting forward new clinical solutions in disease diagnosis and therapy.

The main information of GMAHD ?

1.the kinds of microbes

2.the kinds of disease

3.experimental subject

4.the ways of intervention

5.the effect of microbe in associated disease, 1 means the microbe can ameliorate the disease, -1 means the opposite

6.concerned molecules or cells

7.description of associated mechanism in both text and views

8.disease associated microbes from HMDAD

9.Links to GenomeNet for detailed information of concerned genes or pathways

10.microbe's metabolites from VMH

Live data statistics of GMAHD ?

Release data: 17 April 2018

Total record: 121

Total microbes: 83

Total diseases: 34

Total literatures: 58

About Metabolite data

Data statistics:

Disease Beneficial strains (metabolites) Detrimental strains (metabolites)
Colon Cancer 1 (944) 1 (825)
Colorectal Cancer 1 (960) 7 (1096)
Crohn Disease 7 (1430) 9 (1604)
Ileal Crohn Disease 6 (1282) 4 (1252)
Irritable Bowel Syndrome 3 (1277) 1 (1090)
Liver Cirrhosis 19 (1539) 16 (1499)
Obesity 1 (987) 1 (1193)
Necrotizing Enterocolitis 4 (1532) 1 (1437)
Type 1 Diabetes 10 (1494) 8 (1487)

Strains' metabolite data comes from VMH, and the cut-off we set means frequency of metabolites. For example, cutoff_beneficial of "23dhmp[c]" in Liver Cirrhosis is "1", which means "23dhmp[c]" appears in every 19 beneficial strains of Liver Cirrhosis. As for "[c]", it means cellular compartments of metabolite, "[c]" is short for Cytosol, "[e]" is short for Extracellular space, for more detailed information, you can go to VMH.

About Search & Compare ?

In search and compare page illustrated in Figure 1, users can use keywords by 5 search formsincluding microbes, disease, intervention, description, and reference, to search what entriesthey want to (Figure 1a). And users can also use keywords by 2 search forms including microbes and disease, to search both GMAHD and HMDAD, which has figured out what and which microbes affect disease in positive or negative manners (Figure 1b). As for metabolic information, which is from VMH, we provided metabolites of beneficial strains and detrimental strains concerning with diseases in GMAHD. In addition, we set a cutoff value for every metabolite, which can represent the appearing frequency of the metabolite in each type of strain. For example, there are totally 19 beneficial strains in liver cirrhosis and , “cutoff_beneficial” (means cutoff in beneficial strains) of the metabolite “23dhmp[c]” in liver cirrhosis is “1”, which means the “23dhmp[c]” appears in all of the 19 beneficial strains of liver cirrhosis. And 9 diseases and 4 cutoff values are provided to selection for subsequent work (Figure 1c).


Figure 1

Figure 1

Where the data of GMAHD comes from ?

We collected these mechanisms involving microbial functions in human disease from published papers. We first browsed a WeChat Official Account called Mr_Gut, which has collected more than 5,000 papers about gut microbiota, then we used keywords to screen relevant literatures in pubmed.

How to cite ?

GMAHD: database of how gut microbes affect human disease.

Feed back

If you have any questions, or suggestions about the GMAHD database, please contact us at < wenqingfeng@std.uestc.edu.cn >
or contact the corresponding author—Professor Feng-Biao Guo: < fbguo@uestc.edu.cn >
Web: http://cefg.uestc.cn/ , Bioinformatics Center in School of Life Science and Technology, University of Electronic Science and Technology of China. No.4, Section 2, North Jianshe Road, Chengdu 610054, China.