Evidence map›Paper›PMID 27327650›Full record

ArticlePloS one2016

Sodium-Glucose Cotransporter 2 Inhibitor and a Low Carbohydrate Diet Affect Gluconeogenesis and Glycogen Content Differently in the Kidney and the Liver of Non-Diabetic Mice.

Kuralay Atageldiyeva, Yukihiro Fujita, Tsuyoshi Yanagimachi, Katsutoshi Mizumoto, Yasutaka Takeda, Jun Honjo, Yumi Takiyama, Atsuko Abiko, Yuichi Makino, Masakazu Haneda

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

10 authors at 1 institution in 1 country.

Kuralay AtageldiyevaDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Yukihiro FujitaDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Tsuyoshi YanagimachiDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Katsutoshi MizumotoDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Yasutaka TakedaDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Jun HonjoDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Yumi TakiyamaDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Atsuko AbikoDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Yuichi MakinoDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Masakazu HanedaDivision of Metabolism an Biosystemic Science, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Asahikawa Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A low carbohydrate diet (LCHD) as well as sodium glucose cotransporter 2 inhibitors (SGLT2i) may reduce glucose utilization and improve metabolic disorders. However, it is not clear how different or similar the effects of LCHD and SGLT2i are on metabolic parameters such as insulin sensitivity, fat accumulation, and especially gluconeogenesis in the kidney and the liver. We conducted an 8-week study using non-diabetic mice, which were fed ad-libitum with LCHD or a normal carbohydrate diet (NCHD) and treated with/without the SGLT-2 inhibitor, ipragliflozin. We compared metabolic parameters, gene expression for transcripts related to glucose and fat metabolism, and glycogen content in the kidney and the liver among the groups. SGLT2i but not LCHD improved glucose excursion after an oral glucose load compared to NCHD, although all groups presented comparable non-fasted glycemia. Both the LCHD and SGLT2i treatments increased calorie-intake, whereas only the LCHD increased body weight compared to the NCHD, epididimal fat mass and developed insulin resistance. Gene expression of certain gluconeogenic enzymes was simultaneously upregulated in the kidney of SGLT2i treated group, as well as in the liver of the LCHD treated group. The SGLT2i treated groups showed markedly lower glycogen content in the liver, but induced glycogen accumulation in the kidney. We conclude that LCHD induces deleterious metabolic changes in the non-diabetic mice. Our results suggest that SGLT2i induced gluconeogenesis mainly in the kidney, whereas for LCHD it was predominantly in the liver.

Indexed as

Diet, Carbohydrate-RestrictedGluconeogenesisSodium-Glucose Transporter 2 InhibitorsAnimalsBody WeightCyclic AMP Response Element-Binding ProteinDiabetes Mellitus, ExperimentalEnergy IntakeFatty Acid SynthasesForkhead Box Protein O1Glucose Tolerance TestGlucosidesGlycogenHyperglycemiaInsulin ResistanceKidneyCyclic AMP Response Element-Binding ProteinFatty Acid SynthasesForkhead Box Protein O1Foxo1 protein, mouseGlucosidesGlycogenipragliflozinRNA, MessengerSodium-Glucose Transporter 2Sodium-Glucose Transporter 2 InhibitorsThiophenesTriglycerides

Identifiers

PMID27327650
PMCPMC4915669
OpenAlexW2461043347

What OpenQuestion 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 OpenQuestion graph.