Osteoporosis is a systemic disease characterized by imbalanced bone metabolism and destruction of bone microstructure, with reduced bone density, decreased bone quality, and significantly increased risk of fracture as its hallmarks. At present, osteoporosis is primarily diagnosed through bone density measurement. However, this method has low sensitivity and is challenging for the early diagnosis of osteoporosis. We analyzed osteoporosis-related metabolomics studies based on blood, urine, and fecal samples, as well as the application of multi-omics approaches in elucidating its pathogenesis. Evidence suggests that metabolomics can detect metabolic alterations prior to measurable changes in bone mineral density, offering promising avenues for early osteoporosis detection. Blood-based metabolomics studies indicate that amino acid metabolism dysregulation is a key feature of osteoporosis. Specifically, glycine, glutamine, lysine, and hydroxyproline exhibit negative correlations with bone mineral density, whereas tryptophan, branched-chain amino acids, and arginine show positive associations. Lipid metabolism disturbances are characterized by increased levels of phosphatidylcholine, phosphatidylethanolamine, and triglycerides, alongside decreased levels of sphingomyelin and carnitine. Fecal metabolomics studies highlight the significance of the "gut-bone axis" in osteoporosis, where gut microbiota dysbiosis influences bone metabolism through modulation of arginine and proline metabolism and aminoacyl-tRNA biosynthesis pathways. Multi-omics approaches integrate metabolomics, genomics, proteomics, and other omics data to provide a more comprehensive understanding of osteoporosis' molecular mechanisms, enabling the identification of key biomarkers and therapeutic targets. Metabolomics holds considerable potential for early diagnosis, while multi-omics integration offers novel insights into the complex pathophysiological mechanisms underlying osteoporosis. As detection technologies and analytical methods continue to advance, omics-based strategies are expected to play a pivotal role in the development of precision medicine for osteoporosis.

Osteoporosis is a systemic disease characterized by imbalanced bone metabolism and destruction of bone microstructure, with reduced bone density, decreased bone quality, and significantly increased risk of fracture as its hallmarks. At present, osteoporosis is primarily diagnosed through bone density measurement. However, this method has low sensitivity and is challenging for the early diagnosis of osteoporosis. We analyzed osteoporosis-related metabolomics studies based on blood, urine, and fecal samples, as well as the application of multi-omics approaches in elucidating its pathogenesis. Evidence suggests that metabolomics can detect metabolic alterations prior to measurable changes in bone mineral density, offering promising avenues for early osteoporosis detection. Blood-based metabolomics studies indicate that amino acid metabolism dysregulation is a key feature of osteoporosis. Specifically, glycine, glutamine, lysine, and hydroxyproline exhibit negative correlations with bone mineral density, whereas tryptophan, branched-chain amino acids, and arginine show positive associations. Lipid metabolism disturbances are characterized by increased levels of phosphatidylcholine, phosphatidylethanolamine, and triglycerides, alongside decreased levels of sphingomyelin and carnitine. Fecal metabolomics studies highlight the significance of the "gut-bone axis" in osteoporosis, where gut microbiota dysbiosis influences bone metabolism through modulation of arginine and proline metabolism and aminoacyl-tRNA biosynthesis pathways. Multi-omics approaches integrate metabolomics, genomics, proteomics, and other omics data to provide a more comprehensive understanding of osteoporosis' molecular mechanisms, enabling the identification of key biomarkers and therapeutic targets. Metabolomics holds considerable potential for early diagnosis, while multi-omics integration offers novel insights into the complex pathophysiological mechanisms underlying osteoporosis. As detection technologies and analytical methods continue to advance, omics-based strategies are expected to play a pivotal role in the development of precision medicine for osteoporosis.

Objective To explore the clinical distribution and significant of 23 kinds of human papillomavir-us(HPV)genetypes in normal cells and atypical squamous cells(ASC-US),meanwhile analysis result of cervi-cal histological pathology diagnosis in cases of ASC-US.Methods A total of 1 000 women with normal cells specimens were recruited into control group,and 236 women with ASC-US were selected into the ASC-US group.Polymerase chain reaction(PCR)and gene-chips technology were utilized for the detection of 23 kinds of HPV genetypes,all cases of ASC-US diagnosis of cervical pathological histology.Results A total of 106 ca-ses of HPV infection were detected in the control group,as the total HPV infection rate was 10.6%,in which the single genotypes infection rate was 9.3% and the multiple genotypes infection rate was 1.3%.A total of 139 cases of HPV infection were detected in ASC-US group,as the total HPV infection rate was 58.9%,in which the single genotypes infection rate was 38.1%,and the multiple genotypes infection rate was 20.8%. There were significant differences on the total HPV infection rate,the infection rates of type 1 and multiple geontypes between the control group and ASC-US group(P<0.05).The top six of constituent ratio in the control group were type 43,16,58,33,52,18,42,those in the ASC-US group were type 16,18,52,58,33,51,66.Conclusion PCR combined with the gene-chip technology could be used in the HPV genotypes detection in cervical cells,which has important clinical significance on the further distribution management of ASC-US,and should be draw great attention.

Objective To explore the clinical distribution states of human papillomavirus genotypes in tissues of 691 women with vulva condyloma acuminates in Nanjing city and Zhenjiang city in Jiangsu Province and genotyping clinical significance.Methods Polymerase chain reaction(PCR)and gene-chips technology were utilized for the detection of 23 kinds of HPV genotypes in tissue specimens from 619 women of vulva condyloma acuminates in Nanjing city and Zhenjiang city in Jiangsu Province.And related materials of all subjects were analyzed.Results In 691 women of vulva condyloma acuminates,597 women of HPV infecton,total infection rate of HPV was 86.40％(597/691),including single genotype infection rate of HPV was 51.38％(355/691),11、6 and 16 genotypes are the most common in single genotypes,they are successively 51.55％(183/355)、41.97％(149/355)and 3.38％(12/355).multiple genotypes infection rate of HPV was 35.02％(242/691),6+11、11+18、6+16 and 11+16 genotypes are the most common in multiple genotypes,they are successively 9.92％(24/242)、9.09％(22/242)、4.96％(12/242)and 4.13％(10/242).Conclusion The low-risk HPV types are the main factors to cause the female vulva CA,a few high-risk HPV types may cause warts as well in tissues of women with vulva condyloma acuminates in Nanjing city and Zhenjiang city in Jiangsu Province.The vulva examine of HPV types should be held to the vulva CA patients.This precaution will has extremely important meaning to the prevention and treatment of the female vulva CA and cervical lesion in our nation.

Objective To study the distribution status and clinical significance of human papillomavirus(HPV) infection geno‐types in condyloma acuminate(CA) tissues of vulva ,vagina and cervix .Methods The gene‐chips combined with polymerase chain reaction (PCR) technology were utilized for detecting 23 kinds of HPV genotypes in tissue specimens from 63 cases of vulval CA , 61 cases of vaginal CA and 65 cases of cervical CA .Their clinical pathological data were analyzed .Results In 63 cases of vulval CA ,56 cases were HPV positive with the HPV infection rate of 88 .89% (56/63) ,in 61 cases of vaginal CA ,55 cases were HPV positive with the HPV infection rate of 90 .16% (55/61) ,and in 65 cases of cervical CA ,62 cases were HPV positive with the HPV infection rate of 95 .39% (62/65) .Conclusion HPV infection is closely related to the CA pathgenesis in vulva ,vagina and cervix . HPV6 and HPV 11 are main stream genotypes ,in which vulval CA is most common .The gene‐chips combined with PCR technology is a method suitable for HPV typing diagnosis ,and has the characteristics of good sensitivity and high specificity ,which has an im‐portant significance for clinical diagnosis ,treatment and vaccine study of CA in femal vulva ,vagina and cervix .

Purpose To compare the distribution of 23 kinds of human papillomavirus ( HPV) genotypes in tissues of condyloma acu-minata ( CA) of cervix in 120 women and its clinical significance. Methods Polymerase chain reaction ( PCR) and gene-chips tech-nology were utilized for the detection of 23 kinds of HPV genotypes in tissue specimens from 120 cases of CA in cervix and related ma-terials of all subjects were conducted and analyzed. Results There were 115 positive cases in 120 women with CA in cervix and the rate of total HPV infection was 95. 83% (115/120). The rate of single type was 70. 83% (85/120) and multiple types was 25. 00%(30/120). The predominant type of single infection was HPV11 and the infective rate was 45. 00% (54/120), followed by HPV6 (22. 50%, 27/120). Otherwise, the predominant type of multiple infections was HPV6+11 with the infective rate of 20. 00% (6/30), and HPV11+16 infection accounted for 10. 00% (3/30). Conclusions HPV11, 6, 6+11 and 11+16 are the main genotypes in the pathogenesis of CA in cervix in 120 women. PCR and gene-chip technology can detect single and multiple HPV genotyping in tis-sues of CA in cervix with high sensitivity and specificity. Detection of HPV genotypes could be used to understand the prevalence situa-tion of HPV infection in tissues of CA and tumors of cervix and further to provide references for the research and development of HPV vaccine in women.

Objective To investigate the distribution situation of human papillomavirus (HPV) genotypes profile in cervical cells among women in Xuzhou area and its clinical significance .Methods 23 kinds of HPV DNA were extracted in cervical cell samples from 8 010 women in Xiuzhou area .The gene‐chips technique of PCR combined with reverse dot blot was adopted to detect the HPV genotypes .Results Among 8010 cervical cell samples ,there were 1 852 HPV infected cases ,the total HPV infection rate was 23 .12% ,the HPV infection rates of single type accounted for 17 .17% and its predominant types were 16 type (4 .35% ) ,followed by 58 type (2 .12% ) and 52 type (1 .82% ) ,The detection rate of multiple HPV infection was 5 .96% ,in which the predominant types were HPV16+58(4 .40% ) ,16+52(2 .94% ) ,11+16(2 .52% ) .Conclusion The single HPV infection of HPV16 ,58 ,52 and the multiple HPV infection of HPV16+58 ,16+52 ,11+16 are the main genotypes of cervical cells among women in Xuzhou area , this gene chip technique is suitable for the cervical cell sample ,its once detection can detect 23 kinds of HPV genotypes with high specificity and high sensitivity ,which has an important significance for the molecular epidemiologic survey study of HPV genotypes distribution among women in our country .

Objective To compare the sensitivity of fluorescent quantitation polymerase chain reaction (fluorescent quantitation method) and gene‐chips typing method(gene‐chips method) in the detection of human papillomavirus(HPV) ,and to analyse differ‐ences and clinical significance .Methods A total of 246 women were selected as subjects ,among them ,111 cases of cervical exfolia‐ted cells and 135 cases of cervical tissues were collected and detected .15 kinds of high‐risk HPV genetypes were detected in all sub‐jects by using fluorescent quantitation method and gene‐chips method respectively ,and the detection results were compared . Results The sensitivity of the fluorescent quantitation method in detecting HPV was 55 .28% and that of the gene‐chips method was 55 .69% ,there was no statistically significant difference in sensitivity between the two methods (P>0 .05) .The two methods had relative high conformance(κ=0 .745) .The positive rate of HPV infection was increased with the progression of cervical dis‐ease .Conclusion The fluorescent quantitation method and the gene‐chips method have a relative high conformance ,and both with high sensitivity in detecting HPV .The severity degree of cervical cytological and histological changes may be positively correlated with HPV infection .

Objective To compare the genotype distribution of HPV in cervical cells of natural crowd and tissues of cervical in‐traepithelial neoplasia(CINⅢ grade) and cervical carcinomas patients .Methods PCR and gene‐chip technology were utilized for the genotype detection of 23 kinds of HPV in cell specimens from 1 047 women of natural crowd (normal group) and tissue specimens from 173 cases of cervical intraepithelial neoplasia(precancerosis group) and 133 cases of patients with cervical carcinoma (cervical carcinoma group) .Results There were 109 ,159 and 121 cases of HPV positive specimens respectively in normal group ,precancer‐osis group and cervical carcinoma group ,and the HPV infection rates were 10 .41% (109/1 047) ,91 .91% (159/173) and 90 .98%(121/133) ,respectively .Conclusion PCR and gene‐chip technology can be used to detect HPV genotypes in cervical cells and cer‐vical tissues specimens .

Objective To compare the genotypes distribution of human papillomavirus (HPV ) infection in tissues of cervical cancers and cervical intraepithelial neoplasias (CIN ) and its clinical significance .Methods The polymerase chain reaction (PCR) and the gene-chips technique were utilized for the detection of 23 kinds of HPV genotypes in the tissue specimens from 192 cases of cervical intraepithelial neoplasia (CIN) and 85 cases of cervical cancers .And the related data of all subjects were analyzed .Results In 192 cases of CIN ,the total positive rate of HPV was 82 .29% (158/192) ,the positive rate of single genotype infection was 46 .88% (90/192) and the positive rate of multiple genotypes infection was 35 .42% (68/192);In 85 cases of cervical cancers ,the to-tal infection rate of HPV was 88 .24% (75/85) ,the positive rate of single genotype infection was 65 .88% (56/85) and the positive rate of multiple genotypes infection was 22 .35% (19/85) .Conclusion PCR combined with the gene-chips technique can be used in the detection of the tissue samples of cervical lesions ,once detection can detect 23 kinds of HPV genotypes with high sensitivity and strong specificity ,which has very important significance to the prevention and treatment of cervical cancer and precancerous lesions and the their vaccine research .