Evidence map›Paper›PMID 22327804›Full record

ArticleInflammation2012

A high molecular weight protein extract of Mastobranchus indicus (Mi-64) having antiarthritic activity in experimental animals.

Mohammed Aftab Alam, Santosh Kumar Sarkar, Antony Gomes

Abstract read
PubMed Publisher
In one paragraph

Article in Inflammation, 2012. 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, top 90% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Mohammed Aftab AlamDepartment of Marine Science, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India. alam.mohammedaftab@gmail.com
Santosh Kumar Sarkar
Antony Gomes
University of Calcutta · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mi-64, a high molecular weight protein (130 kDa), obtained from the tissue homogenate of marine polychaete (Mastobranchus indicus) collected from the Indian Sunderban has antiarthritic activity in experimental animals. The FCA-induced arthritis model was developed in Wistar albino rats to evaluate the antiarthritic effects of Mi-64. After FCA induction, the rats were treated with Mi-64 (0.25 and 0.5 mg kg(-1) body weight) for 10 days. We have determined the paw/ankle swellings, urinary hydroxyproline and glucosamine, serum acid and alkaline phosphatases to assess the antiarthritic activity. The levels of interleukin-1 beta (IL-1β), IL-6, cytokine-induced neutrophil chemoattractant-1 (CINC-1), tumor necrosis factor-alpha (TNF-α), and IL-10 were measured by ELISA. Results showed that Mi-64 significantly reduced paw/ankle swellings and restored the urinary hydroxyproline/glucosamine and serum phosphatases. Mi-64 significantly inhibited the overproduction of IL-1β, IL-6, CINC-1, and TNF-α and augmented IL-10 production. The data suggest that Mi-64 produced significant antiarthritic effects that may be mediated by balancing the pro- and anti-inflammatory cytokines.

Indexed as

PolychaetaAcid PhosphataseAlkaline PhosphataseAnimalsAnkle JointAnti-Inflammatory Agents, Non-SteroidalArthritis, ExperimentalChemokine CXCL1Disease Models, AnimalGlucosamineHydroxyprolineInterleukin-10Interleukin-1betaInterleukin-6MaleProteinsAcid PhosphataseAlkaline PhosphataseAnti-Inflammatory Agents, Non-SteroidalChemokine CXCL1Cxcl1 protein, ratGlucosamineHydroxyprolineInterleukin-10Interleukin-1betaInterleukin-6ProteinsTumor Necrosis Factor-alpha

Identifiers

PMID22327804
OpenAlexW2071119293

What OpenQuestion holds

Textmetadata
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.