Evidence map›Paper›PMID 42565727›Full record

ArticleJournal of proteome research2026

Demographic Factors Affect the BMAC Proteome.

Colin Herna, Madison Cipriani, Ranjan Sachdev, Sabrina Jedlicka

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. 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
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.

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

4 authors.

Colin HernaLehigh University , Bioengineering 5 E. Packer Ave, Bethlehem, Pennsylvania18015, United States.ORCID 0009-0001-3754-375X
Madison CiprianiLehigh University , Bioengineering 5 E. Packer Ave, Bethlehem, Pennsylvania18015, United States.
Ranjan SachdevSachdev Orthopaedics, 3735 Nazareth Rd, 302 A, Easton, PA18045, United States.
Sabrina JedlickaLehigh University , Bioengineering 5 E. Packer Ave, Bethlehem, Pennsylvania18015, United States.ORCID 0000-0002-7210-4066

Funding

Lehigh University NAPennsylvania Infrastructure Technology program NA
6 · The paper itself

Abstract

Bone marrow aspirate concentrate (BMAC) is a promising orthobiologic therapy, yet the impact of patient demographics on its proteomic profile remains poorly understood. This study investigates how smoking status, age, sex, and BMI modulate BMAC's protein composition, focusing on 109 analytes across inflammation, immune response, and tissue regeneration pathways. BMAC samples from 120 patients (iliac crest: n = 77; humeral head: n = 43) were stratified by smoking status (current, former, never-smokers) and analyzed via antibody microarrays. Nonparametric statistical analyses (Kruskal-Wallis, Dunn's post hoc) with false discovery rate (FDR) corrections revealed significant proteomic alterations in iliac crest-derived BMAC from smokers, including upregulated pro-inflammatory cytokines (IL-17, TNF-α; p < 0.05, FDR-adjusted) and downregulated anabolic factors (TGF-β1, BMP-9). Former smokers exhibited intermediate profiles, suggesting partial recovery postcessation. Sex-based differences (e.g., BMP-5, FGF-4) were noted but did not survive FDR correction. Humeral head samples showed minimal smoking-related changes, highlighting site-specific effects. These findings underscore smoking's catabolic influence on BMAC's therapeutic potential and advocate for pretreatment cessation protocols.

Indexed as

Bone MarrowProteomeAdultAgedAge FactorsBody Mass IndexCytokinesFemaleHumansMaleMiddle AgedProteomicsSex FactorsSmokingCytokinesProteomeBMAC demographicsbone marrowbone marrow aspirate concentrate (BMAC)humeral headiliac crestproteomeserum proteomicssmokingstatistics

Identifiers

PMID42565727
PMCPMC13459544

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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.