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Eurasian Journal of
            Medicine and Oncology                                          QGJSF multi-target mechanisms in osteoporosis



            1. Introduction                                    In the field of TCM research, network pharmacology has
                                                               emerged as a novel methodology. By merging techniques
            Osteoporosis (OP) is a systemic skeletal disease   from systems biology, bioinformatics, and computational
            characterized by reduced bone mass and degeneration of   chemistry, network pharmacology allows for a holistic
            bone microstructure, which significantly increases the risk   elucidation of the mechanisms of action of TCM formulas.
            of fractures and severely affects patients’ quality of life and   Previous  studies  utilizing  network  pharmacology  have
            life expectancy. With the acceleration of global population   made  progress  in  deciphering  the  mechanisms  of  TCM
            aging, OP has become an important public health challenge.   compound formulas. However, limitations remain, such as
            According to data from the International OP Foundation,   limited depth in target-disease association analyses and a
            over 200 million people worldwide  were affected by   lack of comprehensive analysis across multiple databases. 5-7
            OP as of 2020, with an OP-induced fracture occurring
            approximately every 3 s. Since 1990, the global incidence   This study employs integrated network pharmacology
            of hip fracture has steadily increased, with projections   and bioinformatics approach to systematically investigate
            estimating a 240% rise among women and a 310% increase   the multidimensional therapeutic mechanism of the
            among men by 2050. Furthermore, approximately 50%   QGJSF against OP. The active components in QGJSF and
            of individuals who experience osteoporotic fractures are   their  potential  targets  were  identified  using  the  TCMSP
            likely to suffer a subsequent fracture. 1,2        and BATMAN-TCM databases, while OP-related targets
              Clearly, as the degree of global population aging deepens   were retrieved from GeneCards, OMIM, and DisGeNET
            further, the incidence of OP has risen to become the third   databases. A compound-disease target interaction network
            most common chronic disease following cardiovascular   was constructed using the bioinformatics platform,
            diseases and diabetes, becoming one of the ten important   followed by a protein-protein interaction (PPI) network
            chronic diseases threatening human health. Traditional   through  the  STRING database. Core therapeutic  targets
            treatment methods mainly rely on pharmacological   were identified through topological analysis through
            interventions,  such  as  bisphosphonates  and  selective   Cytoscape. Functional annotation through the DAVID
            estrogen receptor modulators. However, these treatments   database  facilitated  comprehensive  gene  ontology  (GO)
            come with certain side effects and limitations, including   and Kyoto Encyclopedia of Genes and Genomes (KEGG)
            gastrointestinal discomfort and kidney damage, especially   pathway  enrichment  analyses,  elucidating  key  biological
            with prolonged use.  Therefore, the exploration of safe and   processes (BP) and signaling pathways involved in the
                            3
            effective alternative therapies is essential.      anti-osteoporotic  effects  of  QGJSF.  Molecular  docking
                                                               using AutoDock tools validated binding affinities
              In recent years, traditional Chinese medicine (TCM)   between bioactive components and core targets, while
            formulas  have received  considerable  attention for  their   GEO database-derived clinical data verification and gene
            application in preventing and treating OP. Due to their   set enrichment analysis (GSEA) further deciphered the
            multi-target and multi-level mechanisms of action, TCM has   regulatory networks of pivotal genes. Overall, this study
            shown unique advantages in improving bone metabolism   offers scientific evidence supporting the multi-component,
            and  enhancing  bone  density.   The  Qiang-gu-jian-shen   multi-target,  multi-pathway  mechanisms  underlying
                                     4
            formula  (QGJSF)  is  composed  of  six  medicinal  herbs,   QGJSF’s  therapeutic  efficacy  against  OP and  establishes
            including Cortex Eucommiae (Du Zhong, DZ), Fructus Lycii   an innovative methodological framework for modernizing
            (Gou Qi, GQ), Radix Achyranthis Bidentatae (Niu Xi, NX),
            Radix Astragali (Huang Qi, HQ), Chuanxiong Rhizoma   TCM formulations through systems biology approaches.
            (Chuanxiong, CX) and Rehmanniae Radix Praeparata (Shu   2. Materials and methods
            Di Huang, SDH), has demonstrated significant efficacy in
            clinical treatments for OP. Based on TCM principles that   2.1. Screening for targets related to QGJSF
            “the kidneys govern the bones” and “the liver and kidneys   Targets associated with QGJSF were identified through
            share a common origin,” QGJSF aims to replenish kidneys   searches  using the TCMSP  (https://old.tcmsp-e.com/
            and essence, promote blood circulation, resolve stasis, and   disease.php?qd=421) and BATMAN-TCM (http://bionet.
            strengthen muscles and bones. Although its clinical success,   ncpsb.org/batman-tcm/) databases. The identified targets
            the specific mechanisms of action underlying QGJSF have   were converted using the UniProt database, and duplicate
            not been fully elucidated.                         entries were removed. For TCMSP data, targets were

              In recent years, the development of systems biology   screened using criteria of oral bioavailability ≥30% and
            has brought new perspectives for studying complex   drug-likeness ≥0.18. In the BATMAN-TCM database,
            diseases by enabling the integration of multi-omics data to   screening was based on a score cutoff of 0.84, an adjusted
            facilitate a deeper understanding of disease mechanisms.   p-value (Benjamin-Hochberg correction) ≤0.05, and


            Volume 9 Issue 2 (2025)                        271                         doi: 10.36922/EJMO025150103
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