In one paragraphArticle in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Qing-Qing Wu *Division of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-8028-5664 Cheng-Yong Li *Division of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-5744-0697 Shan-Shan Chen *Division of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-2131-372X Juan XuDivision of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-0469-4356 Wei-Hui YanDivision of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li-Na LuDivision of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hai-Xia FengDivision of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jin-An ZhouState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lu WangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ning-Ning LiuState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-1468-6897 Lu JiangDivision of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-4522-3614 Ying WangDivision of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-5587-7772 Funding
National Key R&D Program of China 2022YFA1305600National Key R&D Program of China 2023YFC2706505National Natural Science Foundation of China 82370525National Natural Science Foundation of China 82470602National Natural Science Foundation of China 82570601Natural Science Foundation of Shanghai Municipality 22ZR1441100Natural Science Foundation of Shanghai Municipality 23ZR1452600Shanghai JiaoTong University School of Medicine "Double Hundred Talents" ProgramShanghai medical New Star Outstanding Young Medical Talents Project 2023005Shanghai Municipal Health Commission 20234Z0004
6 · The paper itselfAbstract
Despite recent advances in bacterial profiling across the three anatomical types of pediatric short bowel syndrome (SBS), the gut multi-kingdom remains unexplored. We characterized the four-kingdom gut microbiota using modified DNA extraction and deep shotgun metagenomic sequencing of fecal samples from 26 healthy controls and 34 pediatric SBS patients comprising three types (8 SBS I, 15 SBS II, and 11 SBS III). Overall, children with SBS exhibited a significant reduction in α-diversity compared with controls, with no difference observed among SBS types. Compared with controls, the proportion of archaea was significantly decreased in all SBS types, while bacteria, fungi, and viruses remained similar across types. Different types of SBS exhibited distinct microbial signatures: SBS I was enriched with pathogens (such as species from the
Indexed as
Gastrointestinal MicrobiomeShort Bowel SyndromeArchaeaBacteriaBiomarkersChildChild, PreschoolFecesFemaleHumansInfantMaleBiomarkersfunctional signaturesmicrobiotamulti-kingdompediatricshort bowel syndrome
Identifiers
PMID42678156
PMCPMC13595922
What OpenQuestion holds
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