Evidence map›Paper›PMID 38540272›Full record

ArticleBiomedicines2024

Are There Any Differences in the Healing Capacity between the Medial Collateral Ligament's (MCL) Proximal and Distal Parts in the Human Knee? Quantitative and Immunohistochemical Analysis of CD34, α-Smooth Muscle Actin (α-SMA), and Vascular Endothelial Growth Factor (VEGF) Expression Regarding the Epiligament (EL) Theory.

Georgi P Georgiev, Yordan Yordanov, Lyubomir Gaydarski, Richard Shane Tubbs, Łukasz Olewnik, Nicol Zielinska, Maria Piagkou, Julian Ananiev, Iva N Dimitrova, Svetoslav A Slavchev and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 5 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

13 authors at 7 institutions in 6 countries.

Georgi P GeorgievDepartment of Orthopedics and Traumatology, University Hospital Queen Giovanna-ISUL, Medical University of Sofia, 1527 Sofia, Bulgaria.ORCID 0000-0001-8343-0337
Yordan YordanovDepartment of Pharmacology, Pharmacotherapy and Toxicology, Faculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0003-1029-9870
Lyubomir GaydarskiDepartment of Anatomy, Histology and Embryology, Medical University of Sofia, 1431 Sofia, Bulgaria.ORCID 0000-0003-4774-6507
Richard Shane TubbsDepartment of Anatomical Sciences, St. George's University, St. George 1473, Grenada.
Łukasz OlewnikDepartment of Anatomical Dissection and Donation, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0002-6414-9504
Nicol ZielinskaDepartment of Anatomical Dissection and Donation, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0001-9851-7769
Maria PiagkouDepartment of Anatomy, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.ORCID 0000-0002-4831-8005
Julian AnanievDepartment of General and Clinical Pathology, Faculty of Medicine, Trakia University, 6000 Stara Zagora, Bulgaria.
Iva N DimitrovaDepartment of Cardiology, University Hospital "St. Ekaterina", Medical University of Sofia, 1431 Sofia, Bulgaria.
Svetoslav A SlavchevUniversity Hospital of Orthopedics "Prof. B. Boychev", Medical University of Sofia, 1614 Sofia, Bulgaria.
Ivan TerzievDepartment of Pathology, University Hospital Queen Giovanna-ISUL, 1527 Sofia, Bulgaria.
Athikhun SuwannakhanDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.ORCID 0000-0001-9910-0244
Boycho LandzhovDepartment of Anatomy, Histology and Embryology, Medical University of Sofia, 1431 Sofia, Bulgaria.
Medical University of Sofia · BGMedical University of Lodz · PLMahidol University · THNational and Kapodistrian University of Athens · GRQueen Giovanna Hospital · BGTrakia University · BGTulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human knee is a complex joint that comprises several ligaments, including the medial collateral ligament (MCL). The MCL provides stability to the knee and helps prevent its excessive inward movement. The MCL also has a thin layer of connective tissue known as the epiligament (EL), which adheres to the ligament. This unique feature has drawn attention in the field of ligament healing research, as it may have implications for the recovery process of MCL injuries. According to the EL theory, ligament regeneration relies heavily on the provision of cells, blood vessels, and molecules. The present study sought to compare the expression of vascular endothelial growth factor (VEGF), CD34, and α-smooth muscle actin (α-SMA) in healthy knees' proximal and distal MCL segments to better understand how these proteins affect ligament healing. By improving the EL theory, the current results could lead to more effective treatments for ligament injury. To conduct the present analysis, monoclonal antibodies were used against CD34, α-SMA, and VEGF to examine samples from 12 fresh knee joints' midsubstance MCLs. We identified a higher cell density in the EL than in the ligament connective tissue, with higher cell counts in the distal than in the proximal EL part. CD34 immunostaining was weak or absent in blood vessels and the EL, while α-SMA immunostaining was strongest in smooth muscle cells and the EL superficial layer. VEGF expression was mainly in the blood vessels' tunica media. The distal part showed more SMA-positive microscopy fields and higher cell density than the proximal part (4735 vs. 2680 cells/mm

Indexed as

epiligamentknee jointmedial collateral ligamenttheory

Identifiers

PMID38540272
PMCPMC10967725
OpenAlexW4392862604

What OpenQuestion holds

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Registered trials

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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.