Article(id=1156667040023831071, tenantId=1146029695717560320, journalId=1146119944283992078, issueId=1156667038362886682, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1753700512176, onlineDateStr=2025-07-28, pubDate=1733587200000, pubDateStr=2024-12-08, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1753700512176, onlineIssueDateStr=2025-07-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1753700512176, creator=13701087609, updateTime=1753700512176, updator=13701087609, issue=Issue{id=1156667038362886682, tenantId=1146029695717560320, journalId=1146119944283992078, year='2024', volume='2', issue='12', pageStart='0', pageEnd='162', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1753700511780, creator=13701087609, updateTime=1753700731787, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1156667961164288766, tenantId=1146029695717560320, journalId=1146119944283992078, issueId=1156667038362886682, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1156667961164288767, tenantId=1146029695717560320, journalId=1146119944283992078, issueId=1156667038362886682, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=47, endPage=49, ext={EN=ArticleExt(id=1156667040627810854, articleId=1156667040023831071, tenantId=1146029695717560320, journalId=1146119944283992078, language=EN, title=The role of proteomics technology in the diagnosis of cardiovascular and cerebrovascular diseases, columnId=1156641065621906129, journalTitle=Laboratory Testing, columnName=Innovative Applications, runingTitle=null, highlight=null, articleAbstract=
Objective To explore the research of proteomics technology in the diagnosis of cardiovascular and cerebrovascular diseases, and its effect in improving early detection of diseases, accurate diagnosis, and disease classification. Methods 100 patients from July 2022 to December 2022 were selected and divided into control group and observation group according to their condition. Each group received detailed proteomics testing. Liquid chromatography-mass spectrometry (LC-MS/MS) combined with bioinformatics analysis methods were used to conduct in-depth research on changes in protein expression profiles. Compare the protein differences between the 2 groups and analyze the correlation based on clinical characteristics. Results Proteomic testing identified specific protein markers closely related to cardiovascular and cerebrovascular diseases. The observation group found that the expression levels of some proteins were significantly higher than those in the control group. The sensitivity and specificity of protein markers are significantly enhanced, which is beneficial to early detection of diseases and personalized treatment strategies. Conclusion Proteomics technology can be effectively used in the diagnosis of cardiovascular and cerebrovascular diseases, providing support for the development of precision medicine. Dynamic monitoring of protein levels can improve disease diagnosis and provide a reliable basis for clinical diagnosis.
, correspAuthors=Jia DONG, authorNote=null, correspAuthorsNote=
*DONG Jia, Master, Deputy Chief Technician, Jilin Provincial People’s Hospital, Changchun 130000, China. E-mail:
18499127@qq.com , copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Jia DONG), CN=ArticleExt(id=1156667046789243546, articleId=1156667040023831071, tenantId=1146029695717560320, journalId=1146119944283992078, language=CN, title=蛋白质组学技术在心脑血管疾病诊断中的作用, columnId=1151957373175820401, journalTitle=实验室检测, columnName=创新应用, runingTitle=null, highlight=null, articleAbstract=
目的 探讨蛋白质组学技术对心脑血管疾病诊断的研究,以及其对改善疾病早期发现,精准诊断,疾病分型等方面的效果。方法 选取2022年7月至2022年12月期间的100例患者,依据病情分为对照组和观察组,各组均接受详细的蛋白质组学检测。采用液相色谱-质谱联用技术(LC-MS/MS)结合生物信息学的分析手段,对蛋白质的表达谱变化进行了深入研究。对比2组蛋白质差异性,结合临床特征分析相关性。结果 蛋白质组学检测鉴定出与心脑血管疾病关系密切的特异性蛋白标记物,观察组发现部分蛋白表达量明显高于对照组。蛋白质标志物敏感性及特异性显著增强,有利于疾病的早期检测及个体化治疗策略。结论 蛋白质组学技术能够有效地应用于心脑血管疾病诊断中,为精准医学的发展提供支撑。通过对蛋白质水平进行动态监测可提高疾病诊断水平并为临床诊断提供可靠依据。
, correspAuthors=董葭, authorNote=null, correspAuthorsNote=
, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=2YFLdX7i1uhDt3WIRgyvsw==, magXml=vYWndH5qMxlqKkDuVstOSA==, pdfUrl=null, pdf=TWsUIZu/VOpeCv9Qs+7Oxw==, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=CAFJrAODERg7EKowk7GHCA==, mapNumber=null, authorCompany=null, fund=null, authors=
 |
董葭,硕士,副主任技师,研究方向为临床检验诊断学。 |
, authorsList=董葭)}, authors=[Author(id=1156667059338601257, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=18499127@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1156667059414098732, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, authorId=1156667059338601257, language=EN, stringName=Jia DONG, firstName=Jia, middleName=null, lastName=DONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
*, address=Jilin Provincial People's Hospital Changchun 130000 China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1156667059477013293, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, authorId=1156667059338601257, language=CN, stringName=董葭, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
*, address=吉林省人民医院 长春 130000, bio={"img":"5hfDEuR90cjzp1jOlGVqnQ==","content":"
董葭,硕士,副主任技师,研究方向为临床检验诊断学。
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董葭,硕士,副主任技师,研究方向为临床检验诊断学。
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General clinical data of patients $\left({N ={100}}\right)$, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | 总计 $\left({N ={100}}\right)$ | $P$ 值 |
| 年龄(岁) | ${65.32}\pm {7.45}$ | ${66.12}\pm {8.01}$ | ${65.72}\pm {7.63}$ | 0.312 |
| 男性 $\left\lbrack {n\left(\%\right)}\right\rbrack$ | 30(60.00) | 32(64.00) | 62(62.00) | 0.654 |
| 女性 $\left\lbrack {n\left(\%\right)}\right\rbrack$ | 20(40.00) | 18(36.00) | 38(38.00) | 0.712 |
| 病程(年) | ${5.12}\pm {2.34}$ | ${5.87}\pm {2.01}$ | ${5.49}\pm {2.21}$ | 0.128 |
| 高血压史 [$n\left(\%\right)$] | 35(70.00) | 38(76.00) | 73(73.00) | 0.543 |
| 糖尿病史 $\left\lbrack {n\left(\%\right)}\right\rbrack$ | 15(30.00) | 18(36.00) | 33(33.00) | 0.516 |
| 吸烟史 [$n\left(\%\right)$] | 28(56.00) | 29(58.00) | 57(57.00) | 0.832 |
| 总胆固醇(mmol/L) | ${5.12}\pm {0.87}$ | ${5.43}\pm {0.92}$ | ${5.27}\pm {0.89}$ | 0.089 |
| LDL-C(mmol/L) | ${3.10}\pm {0.56}$ | ${3.21}\pm {0.61}$ | ${3.16}\pm {0.59}$ | 0.219 |
), ArticleFig(id=1156667062404637514, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=CN, label=表 1, caption=
患者一般临床资料 ( $N ={100}$ ), figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | 总计 $\left({N ={100}}\right)$ | $P$ 值 |
| 年龄(岁) | ${65.32}\pm {7.45}$ | ${66.12}\pm {8.01}$ | ${65.72}\pm {7.63}$ | 0.312 |
| 男性 $\left\lbrack {n\left(\%\right)}\right\rbrack$ | 30(60.00) | 32(64.00) | 62(62.00) | 0.654 |
| 女性 $\left\lbrack {n\left(\%\right)}\right\rbrack$ | 20(40.00) | 18(36.00) | 38(38.00) | 0.712 |
| 病程(年) | ${5.12}\pm {2.34}$ | ${5.87}\pm {2.01}$ | ${5.49}\pm {2.21}$ | 0.128 |
| 高血压史 [$n\left(\%\right)$] | 35(70.00) | 38(76.00) | 73(73.00) | 0.543 |
| 糖尿病史 $\left\lbrack {n\left(\%\right)}\right\rbrack$ | 15(30.00) | 18(36.00) | 33(33.00) | 0.516 |
| 吸烟史 [$n\left(\%\right)$] | 28(56.00) | 29(58.00) | 57(57.00) | 0.832 |
| 总胆固醇(mmol/L) | ${5.12}\pm {0.87}$ | ${5.43}\pm {0.92}$ | ${5.27}\pm {0.89}$ | 0.089 |
| LDL-C(mmol/L) | ${3.10}\pm {0.56}$ | ${3.21}\pm {0.61}$ | ${3.16}\pm {0.59}$ | 0.219 |
), ArticleFig(id=1156667062513689419, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=EN, label=Table 2, caption=
Comparison of the levels of main biomarkers in different groups $\left({N ={100}}\right)$, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | $t$ 值 | $P$ 值 |
| C-反应蛋白(mg/L) | ${4.75}\pm {1.21}$ | ${2.85}\pm {1.03}$ | 7.02 | <0.001 |
| 肌钙蛋白 I(ng/mL) | ${0.37}\pm {0.15}$ | ${0.21}\pm {0.09}$ | 5.88 | <0.001 |
| BNP(pg/mL) | ${420.65}\pm {85.34}$ | ${255.12}\pm {70.23}$ | 9.03 | <0.001 |
| 纤维蛋白原(g/L) | ${4.22}\pm {0.68}$ | ${3.33}\pm {0.45}$ | 7.56 | <0.001 |
| 血小板因子 4(ng/mL) | ${10.32}\pm {3.51}$ | ${6.85}\pm {2.43}$ | 5.72 | <0.001 |
), ArticleFig(id=1156667062572409677, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=CN, label=表 2, caption=
不同组患者主要生物标志物水平对比 ( $N ={100}$ ), figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | $t$ 值 | $P$ 值 |
| C-反应蛋白(mg/L) | ${4.75}\pm {1.21}$ | ${2.85}\pm {1.03}$ | 7.02 | <0.001 |
| 肌钙蛋白 I(ng/mL) | ${0.37}\pm {0.15}$ | ${0.21}\pm {0.09}$ | 5.88 | <0.001 |
| BNP(pg/mL) | ${420.65}\pm {85.34}$ | ${255.12}\pm {70.23}$ | 9.03 | <0.001 |
| 纤维蛋白原(g/L) | ${4.22}\pm {0.68}$ | ${3.33}\pm {0.45}$ | 7.56 | <0.001 |
| 血小板因子 4(ng/mL) | ${10.32}\pm {3.51}$ | ${6.85}\pm {2.43}$ | 5.72 | <0.001 |
), ArticleFig(id=1156667062652101455, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=EN, label=Table 3, caption=
Comparison of disease classification accuracy, figureFileSmall=null, figureFileBig=null, tableContent=
| 疾病类型 | 对照组准确率(%) | 观察组准确率(%) | ${\chi }^{2}$ 值 | $P$ 值 |
| 稳定性冠心病 | 68.00 | 92.00 | 10.53 | <0.001 |
| 不稳定性冠心病 | 64.00 | 90.00 | 9.25 | <0.001 |
| 缺血性脑卒中 | 72.00 | 88.00 | 6.74 | 0.010 |
| 出血性脑卒中 | 75.00 | 94.00 | 8.29 | 0.004 |
), ArticleFig(id=1156667062710821713, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=CN, label=表 3, caption=
疾病分型准确率比较, figureFileSmall=null, figureFileBig=null, tableContent=
| 疾病类型 | 对照组准确率(%) | 观察组准确率(%) | ${\chi }^{2}$ 值 | $P$ 值 |
| 稳定性冠心病 | 68.00 | 92.00 | 10.53 | <0.001 |
| 不稳定性冠心病 | 64.00 | 90.00 | 9.25 | <0.001 |
| 缺血性脑卒中 | 72.00 | 88.00 | 6.74 | 0.010 |
| 出血性脑卒中 | 75.00 | 94.00 | 8.29 | 0.004 |
), ArticleFig(id=1156667062777930581, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=EN, label=Table 4, caption=
Comparison of early diagnosis rates, figureFileSmall=null, figureFileBig=null, tableContent=
| 诊断时间 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | ${\chi }^{2}$ 值 | $P$ 值 |
| 早期确诊 $\left({1 \sim 3\text{天}}\right)$ | 30(60.00%) | 40(80.00%) | 4.20 | 0.040 |
| 中期确诊(4~7 天) | 15 (30.00%) | 7(14.00%) | 3.92 | 0.048 |
| 晚期确诊(> 7 天) | 5 (10.00%) | 3(6.00%) | 0.52 | 0.471 |
), ArticleFig(id=1156667062832456537, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=CN, label=表 4, caption=
早期诊断率比较, figureFileSmall=null, figureFileBig=null, tableContent=
| 诊断时间 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | ${\chi }^{2}$ 值 | $P$ 值 |
| 早期确诊 $\left({1 \sim 3\text{天}}\right)$ | 30(60.00%) | 40(80.00%) | 4.20 | 0.040 |
| 中期确诊(4~7 天) | 15 (30.00%) | 7(14.00%) | 3.92 | 0.048 |
| 晚期确诊(> 7 天) | 5 (10.00%) | 3(6.00%) | 0.52 | 0.471 |
), ArticleFig(id=1156667062903759709, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=EN, label=Table 5, caption=
The effect of individualized treatment was compared between the two groups, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | $t$ 值 | $P$ 值 |
| LVEF(左心室射血分数,%) | ${45.23}\pm {7.84}$ | ${52.67}\pm {6.43}$ | 5.32 | <0.001 |
| CRP 下降幅度(%) | ${18.40}\pm {5.12}$ | ${38.70}\pm {7.43}$ | 15.24 | <0.001 |
| 总胆固醇控制达标率(%) | 58.00 | 78.00 | 6.48 | 0.011 |
| 心律失常发生率(%) | 25.00 | 10.00 | 4.25 | 0.039 |
| 再住院率(%) | 20.00 | 8.00 | 4.94 | 0.026 |
), ArticleFig(id=1156667062970868576, tenantId=1146029695717560320, journalId=1146119944283992078, articleId=1156667040023831071, language=CN, label=表 5, caption=
两组患者个体化治疗效果比较, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 对照组 $\left({N ={50}}\right)$ | 观察组 $\left({N ={50}}\right)$ | $t$ 值 | $P$ 值 |
| LVEF(左心室射血分数,%) | ${45.23}\pm {7.84}$ | ${52.67}\pm {6.43}$ | 5.32 | <0.001 |
| CRP 下降幅度(%) | ${18.40}\pm {5.12}$ | ${38.70}\pm {7.43}$ | 15.24 | <0.001 |
| 总胆固醇控制达标率(%) | 58.00 | 78.00 | 6.48 | 0.011 |
| 心律失常发生率(%) | 25.00 | 10.00 | 4.25 | 0.039 |
| 再住院率(%) | 20.00 | 8.00 | 4.94 | 0.026 |
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