The Effects of the Fractions of Piper sarmentosum Leaves on Inhibition of Adipogenesis of 3T3 L1 Preadipocytes
Bibliographic record
Abstract
Piper sarmentosum Roxb. was reported to have anti-obesity, hypoglycaemic and anti-oxidant properties. The aim of this study was to identify the fractions of P. sarmentosum leaf extract in inhibiting adipogenesis of 3T3L1 preadipocytes. The crude extract of the P. sarmentosum leaves was fractionated to produce hexane, dichloromethane, methanol, and aqueous fractions. Various dilutions of the fractions; hexane (0.1 - 1 µg/mL), dichloromethane (9.76 - 97.6 µg/mL), methanol (3.6 - 36 mg/mL), and aqueous (1 - 10 mg/mL), were treated onto the 3T3L1 preadipocytes from 3rd to 15th day of culture. The crude extract (1 - 10 mg/mL) and glycyrrhizic acid (GCA) (0.24 - 2.4 mg/mL) were used as positive controls. The viability of the adipocytes was measured by MTT assay at the 15th day of culture. The content of each fraction was quantified with reference standards of naringin, naringenin, pellitorine, sarmentosine and β-sitosterol by using HPLC. The results showed that 49.1% of the crude extract contained aqueous fraction, 0.12% in hexane fraction, 9.7% in dichloromethane fraction and 36% in methanol fraction. The aqueous fraction and crude extract at the dose of 7 mg/mL and GCA at the dose of 1.92 mg/mL showed potent inhibitory effects on the adipogenesis. However, none of the reference standards were identified from the fractions using HPLC analysis. In conclusion, the aqueous fraction was the main fraction in the crude extract of the P. sarmentosum and contributed a significant role in inhibiting adipogenesis of the 3T3L1 preadipocytes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".