User:Seppi333

This user helped "beta-Hydroxy beta-methylbutyric acid" become a featured article on March 23, 2018.
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Did you know that in healthy adults, HMB has been shown to increase exercise-induced gains in muscle size, muscle strength, and lean body mass, reduce muscle damage, and speed recovery from exercise? On the main page on January 22, 2018
Did you know that a classically conditioned stimulus can affect operant behavior and motivation through Pavlovian-instrumental transfer? On the main page on July 12, 2017
This user drew "File:TAAR1 Dopamine.svg", which became the most valued image on Wikimedia Commons within the scope "amphetamine pharmacodynamics" on March 19, 2014‎.
This user drew "File:TAAR1 Dopamine.svg", which was promoted to quality image status on Wikimedia Commons on March 30, 2014.
Source: Wikipedia, the free encyclopedia.


Reliability of Wikipedia
Amusing comics about an issue I routinely face when writing Wikipedia: overly technical vs overly simplistic


I'm a statistician, bioinformatician, and the chief executive officer of a precision medicine startup company with 5 corporate officers and 1 full-time employee that is incorporated under the name PathoGene. I have three bachelor's degrees in mathematics, finance, and economics from UMD College Park and I studied for 2 years in UNC Chapel Hill's Interdisciplinary Statistics and Operations Research PhD program. In a less formal or non-academic setting, I have also studied and taught bioinformatics and artificial intelligence – specifically, machine learning and natural language processing – with a focus on implementations in Python 3. An example of this on Wikipedia is my data pipeline from the HGNC database to the article space that algorithmically edits the list of human protein-coding genes articles through my bot account: Seppi333Bot.

I've been a Wikipedia editor since May 2013 (NB: my all time editing history statistics are shown here). I was born in Washington D.C., raised in Potomac, Maryland, and currently live in Los Angeles, California.

In addition to the aforementioned subject areas, I have a general interest in and broad knowledge (via autodidactic learning) of molecular biology, cell biology, systems biology, pharmacology, medicine, immunology, physiology, psychology, and neuroscience; I have a rather deep understanding of very specific niches which lie at the intersections of these fields due to having read countless primary research and/or review articles on pertinent topics and usually written extensively about on Wikipedia; specific niches of interest to me include pathophysiology, cognitive neuropsychology, neuroepigenetics, systems neuroscience, neuroimmunology, immunopharmacology, molecular neuropharmacology, multi-omics (particularly genomics, toxicogenomics, metagenomics, metatranscriptomics, pharmacomicrobiomics, and metabolomics), molecular diagnostics, and precision medicine. I typically only edit articles on topics within the scope of one or more of the aforementioned biomedical subject areas, statistics, econometrics, artificial intelligence, and/or bioinformatics.

My primary goal as an editor is to improve the accuracy and overall quality of the health information on Wikipedia; hence, I tend to spend most of my editing time on article content creation and revision (exopedianism), but frequently contribute in other areas of Wikipedia and other Wikimedia content projects (mainly Commons: and Wikidata:). I also spend a fair amount of time wikignoming and regularly donate 2¢ to several WikiProjects – specifically, WT:MED, WT:NEURO, WT:MCB, and WT:PHARM – because I'm very generous with my pocket change.


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TAAR1 B-class GA-class Human brain GA-class FA-class
Trace amine B-class GA-class Neurobiological effects of physical exercise B-class FA-class
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John

Quick summary of findings from a few of the teams:

  • Multiple teams implicated TTN in the pathophysiology of John's clinical phenotype (see here for a list of TTN mutations).
  • Two teams implicated TNXB haploinsufficiency (technically, TNXB deficiency), manifesting as hypermobile Ehlers-Danlos syndrome, due to compound heterozygous frameshift mutations in this gene, both of which occur at tenascin-X glycine residue 362.
  • Several teams implicated genes associated with a congenital disorder of glycosylation; other genes related to lipid metabolism/storage, were also implicated in the etiology of his metabolic phenotype.
NB: I haven't yet looked into the genes implicated in the etiology of John's immunological phenotype, so I can't summarize this.

Partially penetrant TNXB deficiency

John's genotype: compound heterozygous frameshift mutations in TNXB per Team Tenasity's list of genes with suspectedly benign/tolerated or penetrant pathogenic mutations

The following symptoms that John experiences are associated with TNXB loss of function mutations:
NB: complete TNXB deficiency normally causes classic-like EDS and manifests with a much more pronounced phenotype than what John experiences; his clinical phenotype is much more similar to hypermobile EDS, most notably due to an apparently complete lack of skin involvement, so it would seem that John's genotype is not fully penetrant for clEDS.

Gastrointestinal and vomiting reflex arc symptoms
Other (biomarker abnormalities)
  • elevated plasma histamine (likely reflects the involvement of mast cell disorders in EDS per [2])


Hackathon teams that identified the biallelic frameshift variants in his TNXB gene: Genobank & Tenacity (PPT) – both found it with Qiagen's proprietary Ingenuity Variant Analysis software.

Relevant studies

Collapsed since I was looking primarily for sources on TNXB haploinsufficiency at the time. Seppi333 (Insert ) 14:43, 20 May 2020 (UTC)

PubMed search link for ("TNXB"[Title/abstract] OR "tenascin-X"[Title/abstract] OR "tenascin X"[Title/abstract]) AND ("EDS"[Title/abstract] OR "Ehlers-Danlos syndrome"[Title/abstract] OR "joint hypermobility"[Title/abstract])

  • Primary study (2003): Haploinsufficiency of TNXB Is Associated with Hypermobility Type of Ehlers-Danlos Syndrome "Clinically, patients with reduced TNX levels showed hypermobile joints, often associated with joint subluxations and chronic musculoskeletal pain (table 1). The clinical findings in these patients differ from those with complete TNX deficiency. Patients with haploinsufficiency do not have skin hyperextensibility and lack the easy bruising seen in patients with TNX deficiency. In addition, TNXB haploinsufficiency is expected to be an autosomal dominant trait, which is in accordance with the observed mode of inheritance of HT-EDS and BJHS."
  • Review (2017): Hypermobile Ehlers–Danlos Syndrome (a.k.a. Ehlers–Danlos Syndrome Type III and Ehlers–Danlos Syndrome Hypermobility Type): Clinical Description and Natural History; hEDS also includes anxiety and chronic fatigue in its clinical description, but the genetic basis for hEDS is not limited to TNXB. Moreover "the exact physiologic process remains unknown and heterozygous tenascin-X deficiency accounts for only a small percentage of hEDS." TNXB haploinsufficiency has only partial penetrance for hEDS per this review.
  • Primary study (2013): Tenascin-X Haploinsufficiency Associated with Ehlers-Danlos Syndrome in Patients with Congenital Adrenal Hyperplasia (NB: the TNXB gene overlaps the CYP21A2 gene at its 3' ends; this paper is about mutations which affect both TNXB/CYP21A2, resulting in CAH & EDS) "Twelve of 13 patients with CAH-X had EDS clinical features. Patients with CAH-X were more likely than age-matched controls to have joint hypermobility (P < .001), chronic joint pain (P = .003), multiple joint dislocations (P = .004), a structural cardiac valve abnormality by echocardiography (P = .02), and reduced tenascin-X expression by Western blot and immunostaining. A subset of parents had clinical findings. → high penetrance of haploinsufficiency
  • Case Report (2016): Mutation in TNXB gene causes moderate to severe Ehlers-Danlos syndrome
  • Primary study (2019): Measurement of Serum Tenascin-X in Joint Hypermobility Syndrome Patients "In conclusion, we found out that sTNX concentrations in half of the 17 JHS/hEDS patients were significantly lower than those in healthy individuals and there were no mutations, insertions or deletions in TNXB except for one patient. At present, the reason for reduction in sTNX concentration without mutations of TNXB is not clear, but the expression of TNX might be affected by epigenetic changes that occur in the JHS/hEDS patients. Therefore, the results indicate that measurement of the sTNX concentration in patients with JHS/hEDS is beneficial and the decrease in sTNX concentration could be used as a risk factor for JHS/hEDS." – might be worth getting a TNXB ELISA if the antibody can actually bind to John’s mutant tenascin-X proteins, but altered protein function needs to be considered.
  • Review (2018): Tenascin-X, Congenital Adrenal Hyperplasia, and the CAH-X Syndrome. "Rarely, patients with severe, salt-wasting CAH have deletions of CYP21A2 that extend into TNXB, resulting in a "contiguous gene syndrome" consisting of CAH and EDS. Heterozygosity for TNXB mutations causing haploinsufficiency of TNX may be associated with the mild "hypermobility form" of EDS, which principally affects small and large joints. Studies of patients with salt-wasting CAH found that up to 10% had clinical features of EDS, associated joint hypermobility, haploinsufficiency of TNX and heterozygosity for TNXB mutations, now called 'CAH-X.'"
  • Primary study (2016): Ehlers-Danlos Syndrome Caused by Biallelic TNXB Variants in Patients with Congenital Adrenal Hyperplasia "Hypermobility type EDS is the mildest EDS subtype with generalized joint hypermobility, recurrent joint dislocations and chronic arthralgias can occur, and mild skin manifestations such as smooth, velvety skin may also be present. The genetic etiology of hypermobility type EDS is largely unknown (De Paepe and Malfait, 2012; Sobey, 2014). In this report, we describe a subtype of EDS in CAH patients with biallelic TNXB variants that clinically resembles the classical type EDS phenotype. Prior studies of patients with CAH and monoallelic TNXB variants reported a phenotype similar to the hypermobility type EDS (Merke, et al., 2013; Morissette, et al., 2015). ... This study describes a biallelic form of CAH-X syndrome that is clinically and biochemically more severe than the monoallelic forms previously described (Merke, et al., 2013; Morissette, et al., 2015). We have chosen to use the terminology “biallelic”, rather than “autosomal recessive” to describe our CAH patients with TNXB variants on both alleles because the term “autosomal recessive” by definition implies that having a deleterious variant on one allele does not result in a clinical phenotype. Clearly this is not the case with CAH-X. Similarly, biallelic variants of well-established autosomal dominant disorders resulting in a more severe phenotype have been described in polycystic kidney disease (Bergmann, et al., 2011; Hopp, et al., 2012; Sandford, 2009), familial hypercholesterolemia (Varret, et al., 2008) and inherited cancers (Rahman and Scott, 2007). Thus, our findings reflect complex genetic heterogeneity not unexpected. ... However, the development of in vitro constructs for probing variants in TNX and the effect on its mechanism of action would provide useful functional information."

Given what the Ehlers-Danlos society has written about the association between TNXB haploinsufficieny and hypermobile EDS as well as TNXB deficiency and classical-like EDS − and that John's clinical phenotype is more characteristic of hEDS diagnosis while his genotype is diagnostic for clEDS due to complete TNXB deficiency − this actually seems more of a research issue than a diagnostic one. Hence, have referred him to contact the EDS society directly for assistance with his case. Seppi333 (Insert ) 03:27, 18 May 2020 (UTC)

Clinical metabolic phenotype

  1. IIRC, ~2-3 genes associated with congenital disorders of glycosylation were repeatedly implicated by different teams for part of this phenotype.
  2. A second common theme involved peroxisomal disorders and/or lysosomal storage disorders, but I didn't look into those analyses in much detail.

 Pending analysis (2nd) - pending admission, I'm just leaving this to the UDN; otherwise, I'll construct a customized GCP pipeline to do my own hybrid assembly, use a novel non-DeepVariant, AI-based variant caller, and then annotate the variants with both pre-existing software as well as my own NLP-based content similarity approach using an annotation database and the medical records textract files to do my own analysis. Then, will compare to Hackathon teams that focused their analysis on this subset of protein-coding genes.


Relevant clinical metabolic phenotype:

  • failure to thrive
  • physical fatigue (non-localized, possibly a manifestation of central nervous system fatigue rather than diffuse muscle fatigue)
  • inability to gain body fat or lean mass despite consuming sufficient calories (symptom is highly responsive to chronic benzodiazepine use, during which it largely resolves [i.e., results in a gain of ~10-20 pounds of body mass]; body weight eventually returns to an abnormally low baseline upon cessation of benzodiazepine use)
  • multiple abnormally high glycosylphosphatidylinositide (GPI-anchored) lipid biomarkersmetabolome profiling revealed over half a dozen GPI-anchored lipids with serum concentrations of ~3σs above their population means
  • ... [incomplete list]

Clinical immunological phenotype

  1. I don't have a working knowledge of immune defense against viral pathogens and only a basic understanding for fungal pathogens, so I haven't gone through these hackathon analyses.

 Pending analysis (3rd) - pending admission, I'm just leaving this to the UDN; otherwise, I'll see if I can augment the analyses from the hackathon with a hybrid nanopore/Illumina assembly and apply the suggested types of variant callers mentioned in the presentations.


Relevant clinical immunological phenotype:


External databases

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Unit roots

Four possible cases of stationarity and nonstationarity (with an I(1) unit root) for regressors and the error term (yt=α+βxtt). The time-series behavior of y is governed by the behavior of x and μ:

Table 4.2: Regression methods with nonstationary variables
Regressor Error Dependent variable Proper estimation method
X is I(0) μ is I(0) y will be I(0) Estimate with standard distributed-lag model.
X is I(0) μ is I(1) y will be I(1) Misspecified model. Cannot explain a nonstationary dependent variable with stationary regressors.
X is I(1) μ is I(1) y will be I(1) First-difference model to make all variables stationary, then use standard distributed-lag models
X is I(1) μ is I(0) y will be I(1) Variables x and y are cointegrated. Use error-correction model

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{{talk header}}
{{WPBS      |  1=
{{WPPHARM   |  class =  | importance =  }}
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Molecular neuropharmacology textbook

Graduate level, 2nd edition (2009)[1]

<ref name="NHM-#">{{cite book | vauthors = Malenka RC, Nestler EJ, Hyman SE | title = Molecular Neuropharmacology: A Foundation for Clinical Neuroscience | year = 2009 | publisher = McGraw-Hill Medical | location = New York | isbn = 9780071481274 | pages = XX–YY | edition = 2nd | chapter = Chapter #:XYZ | quote= }}</ref>

Graduate level, 3rd edition (2015)[2]

<ref name="NHMH_3e-#">{{cite book | vauthors = Malenka RC, Nestler EJ, Hyman SE, Holtzman DM | title = Molecular Neuropharmacology: A Foundation for Clinical Neuroscience | year = 2015 | publisher = McGraw-Hill Medical | location = New York | isbn = 9780071827706 | edition = 3rd | chapter = Chapter #:XYZ | quote= }}</ref>

Econometrics textbooks

Undergraduate and master's level[3]

<ref name="Wooldridge Econometrics – X">{{cite book | author=Wooldridge, Jeffrey | title=Introductory Econometrics: A Modern Approach | date=2012 | publisher=South-Western Cengage Learning | isbn=9781111531041 | pages=XX–YY | edition=5th | chapter=Chapter #: XYZ }}</ref>

Graduate level[4]

<ref name="Greene Econometrics – X">{{cite book | author=Greene, William | title=Econometric Analysis | date=2012 | publisher=Pearson Education | isbn=9780273753568 | pages=XX–YY | edition=7th | chapter=Chapter #: XYZ}}</ref>

References

  1. ^ Malenka RC, Nestler EJ, Hyman SE (2009). "Chapter #:XYZ". Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (2nd ed.). New York: McGraw-Hill Medical. pp. XX–YY. ISBN 9780071481274.
  2. ^ Malenka RC, Nestler EJ, Hyman SE, Holtzman DM (2015). "Chapter #:XYZ". Molecular Neuropharmacology: A Foundation for Clinical Neuroscience (3rd ed.). New York: McGraw-Hill Medical. ISBN 9780071827706.
  3. ^ Wooldridge, Jeffrey (2012). "Chapter #: XYZ". Introductory Econometrics: A Modern Approach (5th ed.). South-Western Cengage Learning. pp. XX–YY. ISBN 9781111531041.
  4. ^ Greene, William (2012). "Chapter #: XYZ". Econometric Analysis (7th ed.). Pearson Education. pp. XX–YY. ISBN 9780273753568.
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