Evidence map›Paper›PMID 42015224›Full record

ArticleAging cell2026

Comorbid Alzheimer's Disease and Type 2 Diabetes Microbiota Shape Age-Associated Gut-Brain Axis Profiles.

Alessandro Atzeni, Jonas Mingaila, Gediminas Alzbutas, Rokas Lukoševičius, Justinas Drūteika, Kamila Łuczyńska, Rima Ramonaitė, Tadeusz Pietras, Kasper Sipowicz, Dovilė Kiudelytė and 7 more

Abstract read
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In one paragraph

Article in Aging cell, 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Alessandro AtzeniDepartment of Biological Models, Institute of Biochemistry, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-1804-8606
Jonas MingailaDepartment of Biological Models, Institute of Biochemistry, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Gediminas AlzbutasInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Rokas LukoševičiusInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Justinas DrūteikaDepartment of Neurology, Lithuanian University of Health Sciences, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania.
Kamila ŁuczyńskaInstitute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Magdalenka, Poland.
Rima RamonaitėInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Tadeusz PietrasDepartment of Clinical Pharmacology, Medical University of Lodz, Lodz, Poland.
Kasper SipowiczDepartment of Interdisciplinary Research in the Area of Social Inclusion, The Maria Grzegorzewska University, Warsaw, Poland.
Dovilė KiudelytėDr. L. Kriaučeliūnas Small Animal Clinic, Faculty of Veterinary, Veterinary Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Karolina KeršytėDepartment of Biological Models, Institute of Biochemistry, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Emilija KeževičiūtėDepartment of Biological Models, Institute of Biochemistry, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Greta NajūtėDepartment of Neurology, Lithuanian University of Health Sciences, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania.
Juozas KupčinskasInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.ORCID 0000-0002-8760-7416
Jordi Mayneris-PerxachsIntegrative Systems Medicine and Biology, Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI), Girona, Spain.ORCID 0000-0003-3788-3815
Daiva BaltriukienėDepartment of Biological Models, Institute of Biochemistry, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-7851-9270
Aurelijus BurokasDepartment of Biological Models, Institute of Biochemistry, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-0364-3496

Funding

Research Council of Lithuania S-PD-24-95
6 · The paper itself

Abstract

Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) share metabolic and inflammatory mechanisms, potentially mediated by the gut microbiota, yet the neurobiological impact of comorbid AD+T2DM microbiota from elderly donors remains unexplored. Fecal microbiota from healthy, AD, T2DM, and AD+T2DM postmenopausal female donors (aged 56-89 years) was transplanted into antibiotic-treated male mice. Behavioral testing, blood profiling, hippocampal neurotrophic gene expression, and 16S rRNA sequencing with taxonomic, functional, and metabolic analyses were performed. Human AD+T2DM microbiota displayed the greatest dysbiosis, characterized by enrichment of pro-inflammatory taxa, depletion of butyrate-producing genera, and loss of neuroprotective metabolic pathways. FMT induced robust engraftment, with AD+T2DM recipients diverging most from controls (PERMANOVA R

Indexed as

AgingAlzheimer DiseaseBrainDiabetes Mellitus, Type 2Gastrointestinal MicrobiomeAgedAged, 80 and overAnimalsComorbidityFemaleHumansMaleMiceMiddle AgedagingAlzheimer's diseasecomorbidityfecal microbiota transplantationgut–brain axisgut microbiotatype 2 diabetes mellitus

Identifiers

PMID42015224
PMCPMC13099590

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.