Mayeni posted a beautiful picture of herself.See what a fan noticed instead.
By Faith22 | self meida writer
Published 10 days ago - 8341 views
Mayeni is best known as Musa Mseleku's sweetheart and the very first love before Mamkhulu as she had met Musa before Mamkhulu but broke up and then go back together again.
Mayeni has three children together with Musa Mseleku who are two boys and a baby girl who is the last born. Mayeni is the second wife to Musa Mseleku and Mzanis's most loved wife who is cool,calm and collected.
Mayeni is a model and she always looks good in every thing she wears and she always dresses with so much elegance and class.
Mayeni posted a picture of herself on instagram in a formal dress code and she looked very beautiful.She was wearing a red and black top with black trousers and heels and she looked very beautiful.
Fans and family commented on how beautiful she looked and well dressed she looked and one fan said that what stood out for her was her see through like top.
Opera News is a free to use platform and the views and opinions expressed herein are solely those of the author and do not represent, reflect or express the views of Opera News. Any/all written content and images displayed are provided by the blogger/author, appear herein as submitted by the blogger/author and are unedited by Opera News. Opera News does not consent to nor does it condone the posting of any content that violates the rights (including the copyrights) of any third party, nor content that may malign, inter alia, any religion, ethnic group, organization, gender, company, or individual. Opera News furthermore does not condone the use of our platform for the purposes encouraging/endorsing hate speech, violation of human rights and/or utterances of a defamatory nature. If the content contained herein violates any of your rights, including those of copyright, and/or violates any the above mentioned factors, you are requested to immediately notify us using via the following email address operanews-external(at)opera.com and/or report the article using the available reporting functionality built into our Platform