Novel Perspective for Treatment of Mycoplasma Infections: A Promising Future

Khaledi, Mansoor; Afkhami, Hamed; Atani, Zahra Rafiei; Sepehrnia, Saeid; Atani, Fateme Rafiei; Ahmadi, Mohammad Hossein

doi:10.1007/s10989-021-10311-y

Cited by 9 publications

(1 citation statement)

References 62 publications

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“…The effects of these infections on infertility remain unclear but there is some evidence that genital Mycoplasma spp. has a negative impact on fertility ( 11 ). The relationship between these infections and infertility has been studied in Iran and other countries ( 10 – 15 ).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Chlamydia trachomatis, Ureaplasma parvum and Mycoplasma genitalium in Infertile Couples and the Effect on Semen Parameters

Ahmadi¹,

Moosavian

Mardaneh

et al. 2023

Ethiop J Health Sci

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BACKGROUND: Chlamydia trachomatis, Ureaplasma parvum, and Mycoplasma genitalium are common sexually transmitted microorganisms. Our study aimed to determine the prevalence of C. trachomatis, U. parvum, and M. genitalium in infertile and fertile couples and the effect of these microorganisms on semen parameters. MATERIALS AND METHODS: In this case-control study, samples were collected from 50 infertile couples and 50 fertile couples and were subjected to the routine semen analysis and Polymerase chain reaction (PCR). RESULTS: C. trachomatis and U. parvum were detected in 5 (10%) and 6 (12%) of semen samples from infertile men. Also, out of 50 endocervical swabs from the infertile women, C. trachomatis and M. genitalium were detected in 7(14%) and 4 (8%) of swab specimens, respectively. In the control groups, all of the semen samples and endocervical swabs were negative. Also, in the group of infertile patients infected with C. trachomatis and U. parvum, sperm motility was lower than uninfected infertile men. CONCLUSION: The results of this study showed that C. trachomatis, U. parvum, and M. genitalium are widespread among the infertile couples in Khuzestan Province (Southwest of Iran). Also, our results showed that these infections can decrease the quality of semen. For the prevention of the consequences of these infections, we suggest a screening program for infertile couples.

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Section: Introductionmentioning

confidence: 99%

Prevalence of Chlamydia trachomatis, Ureaplasma parvum and Mycoplasma genitalium in Infertile Couples and the Effect on Semen Parameters

Ahmadi¹,

Moosavian

Mardaneh

et al. 2023

Ethiop J Health Sci

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iAMY‐DC: Identifying Amyloid Proteins by Using Dynamic Correlation Features

Zou

2023

ChemistrySelect

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Recent studies reported that amyloid proteins keep a closely relationship with some common diseases, such as Alzhemier's disease, Parkinson's disease, and type 2 diabetes. In view of this, it is an urgent task to discriminate amyloid proteins from non‐amyloid proteins. In this work, we developed a new machine learning model to identify amyloid proteins based on the sequence information. Firstly, fifty different kinds of physicochemical (PC) properties were employed to denote sequences. Then, a sliding window approach was adopted to capture the local correlation information based on Pearson's correlation coefficient. And the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was used to select these most distinguishing features. Given that the number of negative samples larger than the number of positive samples, the popular synthetic minority oversampling technique (SMOTE) algorithm was utilized to solve the unbalanced dataset. Experiments were performed on support vector machine by using jackknife test. Compared with the existing predictors, experimental results showed that the proposed method has significantly improvement in distinguishing amyloid from non‐amyloid proteins. The dataset and codes used in this study were available at https://figshare.com/articles/online_resource/iAMY-DC/20268093.

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