Understanding Osteoporosis: Human Bone Density, Genetic Mechanisms, Gut Microbiota, and Future Prospects

Osteoporosis is a systemic condition of the skeleton that leads to diminished bone mass, a breakdown in the bone tissue's microscopic architecture, and an elevated risk of breaking a bone. The elderly and women particularly after menopause are disproportionately affected, and the condition generally stays undiagnosed until a broken bone causes severe pain and immobility. Causes of osteoporosis include low bone mass, more than normal bone loss, changes in hormone levels (decreased estrogen or testosterone), certain diseases and therapies, and lifestyle factors like smoking and inactivity. The spine, hip, and forearm are particularly vulnerable to osteoporosis-related fractures. The purpose of this article is to present a thorough understanding of osteoporosis, including the disease's connection to bone density in humans, and the major part played by genetic pathways and gut flora. The causes of osteoporosis, the effects of aging on bone density, and why some groups experience a higher incidence of the disease than others are investigated. The paper also includes animal and human experiments investigating the link between gut flora and osteoporosis. Finally, it looks to the future and speculates on possible developments in osteoporosis prevention and therapy.

Currently recognized clinically relevant and known genes for human reproduction and related infertility with representation on high-resolution chromosome ideograms

OBJECTIVE

To provide an update of currently recognized clinically relevant candidate and known genes for human reproduction and related infertility plotted on high resolution chromosome ideograms (850 band level) and represented alphabetically in tabular form.

METHOD

Descriptive authoritative computer-based website and peer-reviewed medical literature searches used pertinent keywords representing human reproduction and related infertility along with genetics and gene mutations. A master list of genes associated with human reproduction and related infertility was generated with a visual representation of gene locations on high resolution chromosome ideograms. GeneAnalytics pathway analysis was carried out on the resulting list of genes to assess underlying genetic architecture for infertility.

RESULTS

Advances in genetic technology have led to the discovery of genes responsible for reproduction and related infertility. Genes identified (N=371) in our search primarily impact ovarian steroidogenesis through sex hormone biology, germ cell production, genito-urinary or gonadal development and function, and related peptide production, receptors and regulatory factors.

CONCLUSIONS

The location of gene symbols plotted on high resolution chromosome ideograms forms a conceptualized image of the distribution of human reproduction genes. The updated master list can be used to promote better awareness of genetics of reproduction and related infertility and advance discoveries on genetic causes and disease mechanisms.

Risk Classification with an Adaptive Naive Bayes Kernel Machine Model

Genetic studies of complex traits have uncovered only a small number of risk markers explaining a small fraction of heritability and adding little improvement to disease risk prediction. Standard single marker methods may lack power in selecting informative markers or estimating effects. Most existing methods also typically do not account for non-linearity. Identifying markers with weak signals and estimating their joint effects among many non-informative markers remains challenging. One potential approach is to group markers based on biological knowledge such as gene structure. If markers in a group tend to have similar effects, proper usage of the group structure could improve power and efficiency in estimation. We propose a two-stage method relating markers to disease risk by taking advantage of known gene-set structures. Imposing a naive bayes kernel machine (KM) model, we estimate gene-set specific risk models that relate each gene-set to the outcome in stage I. The KM framework efficiently models potentially non-linear effects of predictors without requiring explicit specification of functional forms. In stage II, we aggregate information across gene-sets via a regularization procedure. Estimation and computational efficiency is further improved with kernel principle component analysis. Asymptotic results for model estimation and gene set selection are derived and numerical studies suggest that the proposed procedure could outperform existing procedures for constructing genetic risk models.

Slowing the aging process

Research into the aging process is very new. For many years aging was thought to be the natural and inevitable consequence of a life of wear and tear. The idea that aging could be influenced by the genetic code and had a modifiable biologic component is less than 20 years old. During this time, aging has come to be understood as a complex biologic process controlled by signaling pathways and transcription factors. Similar attitudes pervade the field of nephrology. Whether a decline in renal function with age represents normal aging or kidney disease is the subject of much debate.

Molecular characterisation of the recovery process in the entomopathogenic nematode Heterorhabditis bacteriophora

In Heterorhabditis bacteriophora, an insect-parasitic nematode, the third juvenile is the infective, developmentally arrested form. When it infects a suitable host, the infective juvenile recovers from developmental arrest and resumes growth and development. This process is called recovery and it is the first outcome of the host-parasite interaction. Recovery is also very important from a commercial point of view. To characterise the recovery in H. bacteriophora, we sought to identify genes involved in this process. A large-scale bioassay for recovery was established and subtraction libraries of recovering infective juvenile from arrested infective juvenile transcripts were constructed at different time points. Most of the genes identified as differentially expressed between recovering and developmentally arrested infective juveniles belonged to metabolic pathways. Elevated expression levels of 23 selected genes during recovery were confirmed by quantitative PCR. For eight of these genes, transcription silencing in H. bacteriophora resulted in a significant decline in infective juvenile recovery rates, suggesting that these genes are critical to the recovery process. Two of the genes were associated with the insulin-like growth factor-1 (insulin/IGF-1) pathway, known to regulate dauer formation in the free-living nematode Caenorhabditis elegans, whereas the other six genes were associated with pathways not previously associated with recovery in nematodes. These results suggest that although little is known about parasitism-unique genes, the pathways regulating recovery in H. bacteriophora include those activated in C. elegans and those that might be unique to parasitic nematodes; the latter may be activated in response to host signals and enable the parasite to recognise its host.

From chronic liver disorders to hepatocellular carcinoma: Molecular and genetic pathways

Hepatocarcinogenesis is a process attributed to progressive genomic changes that alter the hepatocellular phenotype producing cellular intermediates that evolve into hepatocellular carcinoma (HCC). During the preneoplastic phase, the liver is often the site of chronic hepatitis and/or cirrhosis, and these conditions induce liver regeneration with accelerated hepatocyte cycling in an organ that is otherwise proliferatively at rest. Hepatocyte regeneration is accelerated by upregulation of mitogenic pathways involving molecular and genetic mechanisms. Hepatic growth factors, inhibitors and triggers may also play a role. This process leads to the production of monoclonal populations of aberrant and dysplastic hepatocytes that have telomerase re-expression, microsatellite instability, and occasionally structural aberrations in genes and chromosomes. Development of dysplastic hepatocytes in foci and nodules and the emergence of HCC are associated with the accumulation of irreversible structural alterations in genes and chromosomes even if the genomic basis of the malignant phenotype is largely heterogeneous. Therefore, a malignant hepatocyte phenotype may be produced by changes in genes acting through different regulatory pathways, thus producing several molecular variants of HCC. On these bases, a key point for future research will be to determine whether the deletions are specific, due to particular loci in the minimally deleted regions of affected chromosome arms, or whether they are non-specific with loss of large portions of chromosomes or entire chromosome arms leading to passive deletion of loci. The final aim is the possibility of identifying a step where carcinogenetic processes could be terminated.

Significance of cellular senescence in aging and cancer

Cellular senescence is a mechanism that induces an irreversible growth arrest in all somatic cells. Senescent cells are metabolically active but lack the capacity to replicate. Evolutionary theories suggest that cellular senescence is related to the organismal decline occurring in aging organisms. Also, such theories describe senescence as an antagonistically pleiotropic process that can have beneficial or detrimental effect on the organism. Cellular senescence is believed to be involved in the cellular changes observed as aging progresses. Accumulation of senescent cells appears to occur widely as the organism ages. Furthermore, senescence is a key element of the tumor suppressor pathways. Therefore, it is part of the natural barrier against the uncontrolled proliferation observed in cellular development of malignancies in multicellular organisms. Activation of the senescence process guarantees a limited number of cellular replications. The genetic network led by p53 is responsible for activation of senescence in response to DNA damage and genomic instability that could lead to cancer. A better comprehension of the genetic networks that control the cell cycle and induce senescence is important to analyze the association of senescence to longevity and diseases related to aging. For these reasons, experimental research both in vitro and in vivo aims to develop anticancer therapies based on senescence activation. The last decade of research on role and function of senescence in aging and cancer are discussed in this paper.