1.西南交通大学医学院,成都
2.中国人民解放军西部战区总医院麻醉科,成都
WU Wei, E-mail: wuweizj@163.com
YANG Haihong, E-mail: yanghaihong@swjtu.edu.cn
Received:30 December 2025,
Revised:2026-01-23,
Published:30 March 2026
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高堂清,罗静雅,赵梦雪,等.痛性糖尿病周围神经病变的营养感知机制:基于背根神经节多组学测序发现枢纽miRNA-mRNA调控网络[J].陆军军医大学学报,2026,48(06):757-767.DOI:10.16016/j.2097-0927.202512162.
GAO T Q,LUO J G,ZHAO M X,et al.Nutrient-sensing mechanisms in painful diabetic peripheral neuropathy: identification of hub miRNA-mRNA regulatory networks via multi-omics sequencing of the dorsal root ganglia[J].J Army Med Univ,2026,48(06):757-767.DOI:10.16016/j.2097-0927.202512162.
高堂清,罗静雅,赵梦雪,等.痛性糖尿病周围神经病变的营养感知机制:基于背根神经节多组学测序发现枢纽miRNA-mRNA调控网络[J].陆军军医大学学报,2026,48(06):757-767.DOI:10.16016/j.2097-0927.202512162. DOI:
GAO T Q,LUO J G,ZHAO M X,et al.Nutrient-sensing mechanisms in painful diabetic peripheral neuropathy: identification of hub miRNA-mRNA regulatory networks via multi-omics sequencing of the dorsal root ganglia[J].J Army Med Univ,2026,48(06):757-767.DOI:10.16016/j.2097-0927.202512162. DOI:
目的
2
痛性糖尿病周围神经病变(painful diabetic peripheral neuropathy, PDPN)是糖尿病常见的破坏性并发症,其临床表现及发病机制复杂。从PDPN进展来看,营养感知如何改变基因转录是非常值得探讨的科学问题。然而其潜在的分子机制,尤其是背根神经节(dorsal root ganglia, DRG)中的转录后调控机制与PDPN之间的关联仍然知之甚少。因此,本研究采用整合的多组学方法,在成熟的PDPN大鼠模型的DRG中全面描绘了miRNA和mRNA的表达图谱并分析其调控脉络。
方法
2
选取18只雄性SD大鼠(4~5周龄,体质量90~100 g),随机分为阴性对照组(vehicle control)和PDPN组,利用链脲佐
菌素(streptozotocin, STZ)诱导大鼠发生糖尿病,构建PDPN大鼠模型。取2组(
n
=3)的L4-L6 DRG组织,进行miRNA和mRNA高通量测序。通过生物信息学分析筛选差异表达的miRNAs(DEmiRs)和mRNAs(DEGs),并进行GO和KEGG富集分析,整合数据构建了miRNA-mRNA调控网络,最后通过RT-qPCR进行初步验证,并与人源相关数据进行分析比对。
结果
2
鉴定出11个显著上调和7个显著下调的DemiRs(|log
2
FC|
>
1,
P
<
0.05),以及416个上调和110个下调的DEGs(|log
2
FC|
>
1,
P
<
0.05)。KEGG通路分析显示DEGs显著富集于神经活性配体—受体相互作用和脂质代谢等与疼痛和糖尿病代谢密切相关的通路(阈值
P
<
0.05)。通过构建miRNA-mRNA调控网络,结果显示Ms4a2、Itgax、Wnt3、Tnn以及上游miRNA可能是调节PDPN进展的核心枢纽。
结论
2
本研究初步系统地描绘了PDPN模型中DRG的miRNA-mRNA互作图谱,显示Ms4a2、Itgax、Wnt3、Tnn以及上游miRNA可能调节PDPN进展的营养感知机制,揭示了let-7i-5p、miR-9a-5p、miR-543-5p、miR-199a-5p、miR-324-5p、miR-702-3p、Ikzf3、Klhl6、Igsf6、Tmc8、Tmc1、Lmx1a、Cldn16、Vwc2、Cyp2c23等多个PDPN的潜在靶点,发现了鞘脂代谢很可能是联系代谢改变与PDPN发生之间的重要通路。从新的角度,初步探讨了PDPN进展的营养感知机制。
Objective
2
Painful diabetic peripheral neuropathy (PDPN) is a common and debilitating complication of diabetes mellitus
with complex clinical manifestations and pathogenesis. From the perspective of PDPN progression
how nutrient sensing alters gene transcription represents a scientifically significant question worthy of investigation. However
the underlying molecular mechanisms
particularly the association between post-transcriptional regulatory processes in the dorsal root ganglia (DRG) and PDPN
remain poorly understood. Therefore
this study employed an integrated multi-omics approach to comprehensively profile the miRNA and mRNA expression landscape and analyze their regulatory networks in the DRG of a well-established rat model of PDPN.
Methods
2
Eighteen male SD rats (aged 4 to 5 weeks
weighing 90 to 100 g) were randomly divided into a vehicle control group and a PDPN group. The rat model of PDPN was established by an intraperitoneal injection of streptozotocin (STZ). The DRG tissues from L4 to L6 were harvested from both group
s (
n
=3 per group) for high-throughput sequencing of miRNAs and mRNAs. Bioinformatic analyses were performed to identify differentially expressed miRNAs (DEmiRs) and mRNAs (DEGs)
followed by GO and KEGG enrichment analyses. An integrated miRNA-mRNA regulatory network was constructed. Preliminary validation was performed using RT-qPCR
with subsequent comparative analysis with relevant human-derived data.
Results
2
A total of 11 significantly upregulated and 7 significantly downregulated DEmiRs (|log2FC|
>
1
P
<
0.05)
along with 416 upregulated and 110 downregulated DEGs (|log2FC|
>
1
P
<
0.05)
were identified. KEGG pathway analysis revealed that DEGs were significantly enriched in the pathways closely related to pain and diabetic metabolism (threshold
P
<
0.05)
such as neuroactive ligand-receptor interaction and lipid metabolism. Through construction of the miRNA-mRNA regulatory network
the results indicated that Ms4a2
Itgax
Wnt3
Tnn
and their upstream miRNAs may serve as core hubs regulating PDPN progression.
Conclusion
2
This study provides an initial systematic depiction of the miRNA-mRNA interaction network in the DRG of a PDPN model
demonstrating that Ms4a2
Itgax
Wnt3
Tnn
and their upstream miRNAs may modulate nutrient-sensing mechanisms involved in PDPN progression. Multiple potential therapeutic targets for PDPN are identified
including let-7i-5p
miR-9a-5p
miR-543-5p
miR-199a-5p
miR-324-5p
miR-702-3p
Ikzf3
Klhl6
Igsf6
Tmc8
Tmc1
Lmx1a
Cldn16
Vwc2
and Cyp2c23. Importantly
sphingolipid metabolism is regarded as a key pathway likely connecting metabolic alterations to the development of PDPN. Our work preliminarily explores the nutrient-sensing mechanisms underlying PDPN progression from a novel perspective.
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