Evidence map›Paper›PMID 38535259›Full record

ArticleJournal of functional biomaterials2024

Bone Marrow-Derived Mesenchymal Stem Cell-Laden Nanocomposite Scaffolds Enhance Bone Regeneration in Rabbit Critical-Size Segmental Bone Defect Model.

Elangovan Kalaiselvan, Swapan Kumar Maiti, Shivaraju Shivaramu, Shajahan Amitha Banu, Khan Sharun, Divya Mohan, Sangeetha Palakkara, Sadhan Bag, Monalisa Sahoo, Suresh Ramalingam and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of functional biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

11 authors at 3 institutions in 3 countries.

Elangovan KalaiselvanDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Swapan Kumar MaitiDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Shivaraju ShivaramuDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Shajahan Amitha BanuDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Khan SharunDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.ORCID 0000-0003-1040-3746
Divya MohanDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Sangeetha PalakkaraDivision of Surgery, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Sadhan BagEastern Regional Station, ICAR-Indian Veterinary Research Institute, Kolkata 700037, India.
Monalisa SahooDivision of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India.
Suresh RamalingamDepartment of Animal Nutrition, Tamil Nadu Veterinary and Animal Sciences University, Chennai 600007, India.
Jürgen HeschelerInstitute of Neurophysiology, University of Cologne, 50931 Cologne, Germany.
Indian Veterinary Research Institute · INTamil Nadu Veterinary and Animal Sciences University · INUniversity of Cologne · DE

Funding

Indian Council of Agricultural Research ICAR-NAE
6 · The paper itself

Abstract

Bone regeneration poses a significant challenge in the field of tissue engineering, prompting ongoing research to explore innovative strategies for effective bone healing. The integration of stem cells and nanomaterial scaffolds has emerged as a promising approach, offering the potential to enhance regenerative outcomes. This study focuses on the application of a stem cell-laden nanomaterial scaffold designed for bone regeneration in rabbits. The in vivo study was conducted on thirty-six healthy skeletally mature New Zealand white rabbits that were randomly allocated into six groups. Group A was considered the control, wherein a 15 mm critical-sized defect was created and left as such without any treatment. In group B, this defect was filled with a polycaprolactone-hydroxyapatite (PCL + HAP) scaffold, whereas in group C, a PCL + HAP-carboxylated multiwalled carbon nanotube (PCL + HAP + MWCNT-COOH) scaffold was used. In group D, a PCL + HAP + MWCNT-COOH scaffold was used with local injection of bone morphogenetic protein-2 (BMP-2) on postoperative days 30, 45, and 60. The rabbit bone marrow-derived mesenchymal stem cells (rBMSCs) were seeded onto the PCL + HAP + MWCNT-COOH scaffold by the centrifugal method. In group E, an rBMSC-seeded PCL + HAP + MWCNT-COOH scaffold was used along with the local injection of rBMSC on postoperative days 7, 14, and 21. For group F, in addition to the treatment given to group E, BMP-2 was administered locally on postoperative days 30, 45, and 60. Gross observations, radiological observation, scanning electron microscopic assessment, and histological evaluation study showed that group F displayed the best healing properties, followed by group E, group D, group C, and B. Group A showed no healing with ends blunting minimal fibrous tissue. Incorporating growth factor BMP-2 in tissue-engineered rBMSC-loaded nanocomposite PCL + HAP + MWCNT-COOH construct can augment the osteoinductive and osteoconductive properties, thereby enhancing the healing in a critical-sized bone defect. This novel stem cell composite could prove worthy in the treatment of non-union and delayed union fractures in the near future.

Indexed as

bone engineeringhydroxyapatitenanomaterial scaffoldsnanoscaffoldingregenerative medicinetissue engineering

Identifiers

PMID38535259
PMCPMC10971049
OpenAlexW4392651377

What OpenQuestion holds

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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.